Remote 💻 Development Jobs

PYTHON DEVELOPER - Job Description

We are building a complex, high-load system based on a microservice architecture, where every component plays a critical role. This is not a legacy support project — it's about continuous development of new modules and optimization of existing ones.

Our teams are small and focused — typically 4–6 engineers. Each team has its own area of responsibility and a unique set of challenges.

Tech stack

• Python 3.11, 5+ years of professional experience
• asyncio (Strong knowledge of asynchronous programming)
• Microservice architecture (REST API, GraphQL, RPC)
• Algorithms and data structures
• SOLID, DRY, KISS, YAGNI principles
• Designing internal libraries / SDKs / shared components
• Web-servers: FastAPI, Sanic
• Pydantic (preferably v2)
• Stream processing
• RPC design (servers, request/response, retries, correlationId)
• Kafka (consumer groups, delivery guarantees, schema design, partitioning)
• RabbitMQ (RPC, pub/sub, DLX, retries)

Databases:

• MongoDB (indexes, configs, transactions)
• ClickHouse (large datasets, MergeTree, Order By, Indexes)

Responsibilities

• You’ll be involved in system architecture design, technology selection, and solving non-trivial engineering challenges.
• Collaborate with teams to deliver features and improvements for high-load microservice-based systems.

What you’ll bring

• Strong knowledge of asyncio and asynchronous programming
• Experience in microservice architecture (REST API, GraphQL, RPC)
• Hands-on experience with stream processing
• Solid understanding of RPC design and related best practices
• Experience with Kafka and RabbitMQ in production setups
• Good understanding of SOLID, DRY, KISS, YAGNI
• Experience designing internal libraries / SDKs / shared components
• Knowledge of Docker, Kubernetes (Nice to have)

Soft skills

• Understanding of iterative software development processes (Agile, Scrum, Kanban)
• Ability to work effectively in short development cycles / iterations
• Strong communication skills for cross-functional collaboration
• Code review and mentorship experience
• Analytical mindset and ability to propose architecture/process improvements
• High accuracy and responsibility with critical business data

Nice to have

• GraphQL (Ariadne)
• Experience in fintech, betting, trading domains
• CI/CD setup experience
• Monitoring/logging (Prometheus, Grafana, ELK)

What we offer

• Comprehensive Health Insurance
• 100% Paid Sick Leave
• Continuous Learning & Growth opportunities
• Generous Paid Time Off (20 vacation days + 6 flexible days)
• Relocation Support
• Diverse & Dynamic International Team
• Language Development courses
• Team events and building activities
• Top-Quality Equipment
• Welfare Program
• Milestone celebrations and gifts

Team description

Betby powers a premium sportsbook with world-class risk management and omni-channel support, reaching millions of players across markets. Offices in Latvia, Malta, Spain, and Montenegro with remote talent support.

Job responsibilities

• Lead and support a team of engineers building agentic and AI-enabled product experiences.
• Partner closely with Product, Design, and Data Science leadership to translate AI capabilities into scalable, user-facing experiences.
• Guide the design and implementation of agent workflows, orchestration logic, and application integrations.
• Ensure AI-powered features are reliable, observable, secure, and ready for production use.
• Drive execution across multiple initiatives, balancing short-term delivery with sustainable technical direction.
• Foster strong engineering practices around code quality, testing, documentation, and iterative delivery.
• Coach and mentor engineers, supporting career growth and healthy team dynamics.
• Collaborate with other engineering and data teams to align on interfaces, dependencies, and shared goals.
• Contribute to hiring and onboarding as the team grows.

What you’ll do

• Lead a team of frontend, backend, and applied engineers working on conversational workflows, orchestration layers, and AI-enabled product surfaces.
• Guide the design and implementation of agent workflows, orchestration logic, and application integrations.
• Ensure AI-powered features are reliable, observable, secure, and ready for production use.
• Drive execution across multiple initiatives, balancing short-term delivery with sustainable technical direction.
• Foster strong engineering practices around code quality, testing, documentation, and iterative delivery.
• Coach and mentor engineers, supporting career growth and healthy team dynamics.
• Collaborate with other engineering and data teams to align on interfaces, dependencies, and shared goals.
• Contribute to hiring and onboarding as the team grows.

Who you are

• Have at least 5 years of hands-on software development experience.
• Have at least 3 years of experience managing and growing software engineering teams.
• Strong background in application or platform engineering, ideally in a SaaS environment.
• Experience leading teams that integrate AI or ML-powered capabilities into production systems.
• Comfort operating at the intersection of product, platform, and data science teams.
• Strong technical judgment across system design, APIs, distributed systems, and developer workflows.
• Experience working with modern backend and frontend stacks.
• Ability to navigate ambiguity, make pragmatic trade-offs, and drive execution across multiple initiatives.
• Excellent communication skills and ability to align technical work with business and product goals.

Bonus Points

• Experience leading teams building agentic or LLM-powered product experiences.
• Familiarity with agent frameworks such as Mastra or similar orchestration tools.
• Prior work on decisioning engines, rules engines, or real-time personalization systems.
• Experience collaborating closely with Data Science and ML teams on production integrations.
• Background in marketing technology or customer engagement platforms.
• Experience scaling teams and systems in a remote-first environment.

Benefits & perks

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance
• Monthly Professional Development allowance
• Pre-tax commuter benefits
• Complete laptop workstation

Other details

The US base salary range for this position at the start of employment is $156,000 - $242,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations. The total compensation package includes variable pay, equity, plus a range of benefits, including medical, dental, vision, and financial. Perks and other details are provided by the employer.

We are seeking an experienced Golang Software Engineer for our Mobile team to be part of the development of end-to-end fraud detection solutions. This role combines backend software development with data analysis related to our mobile sdk. You will design and implement scalable, high-performance backend systems, ensuring smooth integration with other components. You'll take ownership of features from concept to final deployment, working closely with cross-functional teams to deliver reliable and robust solutions. A key aspect of this role involves analyzing large datasets of traffic to uncover patterns and detect fraudulent activity. You will leverage engineering techniques to process and manage large traffic datasets efficiently, find new ways to detect fraud, and implement them in backend code.

Types of Projects and Impact:

• Collaborate with the Mobile Product team to improve fraud detection signals, including Android emulator detection, Frida detection, Mobile VPN detection, and more.
• Conduct deep dives into problematic features, researching and analyzing their behavior to understand root causes and identify potential solutions.
• Develop hypotheses, run experiments, analyze results, and translate findings into actionable engineering improvements.
• Build and enhance backend systems for real-time data processing.
• Foster a data-driven culture by sharing engineering best practices and collaborating on cross-functional projects.
• This role includes participation in a shared on-call rotation.

Required Skills:

• BS/MS in Computer Science, Data Science, or a related field, or equivalent work experience.
• 3+ years of experience in backend development
• Strong experience in GoLang.
• Strong experience in designing, developing, and maintaining scalable backend systems.
• Experience working with real-time data processing and APIs.
• Strong knowledge of SQL and experience with databases like DynamoDB, Redis, or Elasticsearch.
• Proficiency with general software engineering tools: Git, IDEs, shell scripting, CI/CD.
• Proficient in English for clear communication in a global, remote team.

Nice to Have:

• Practical experience with analytical storage systems like ClickHouse, Snowflake, BigQuery, Redshift, or Databricks.
• Experience with data transformation frameworks like dbt or other data pipeline tools.
• Experience with the Python data analytics stack (NumPy, Pandas, Jupyter, etc.).

Technologies You Will Work With:

• Backend development: Golang (preferred) or equivalent.
• Data analytics/processing: ClickHouse, dbt, Apache Superset.
• Infrastructure: AWS, DynamoDB, Redis, Elasticsearch.

Compensation Range For US-based employees, the cash compensation range for this role is $133,000 – $153,000.

Join xData Group a rapidly evolving fintech company, where we are developing innovative financial technology solutions that leverage cutting-edge AI technologies. We provide an exciting startup culture and the opportunity to be at the forefront of fintech innovation.

The company provides both front-end and back-end development of online banking systems, including the creation of custom software solutions and applications, UX/UI design, and testing of product prototypes and MVPs.

This is further supplemented by product and software consulting services, as well as project management to optimize operational efficiency.

We are on a mission to revolutionize the banking landscape, making financial services more innovative, accessible, efficient, and user-centric.

As we expand our operations, we are looking for an SR Backend Developer to join our dynamic team.

This is an exciting opportunity to join a team dedicated to building scalable, high-performance systems that drive our innovative solutions forward.

Working closely with your team and in tight cooperation with the business client, you will design, develop, and implement backend services that are critical to our product's functionality.

Responsibilities:

• Develop high-quality, scalable, and efficient Kotlin applications
• Write clean, well-designed, and maintainable code
• Collaborate with cross-functional teams to design, develop, and test software solutions
• Participate in code and design reviews to maintain code quality and to identify and remediate issues
• Ensure software solutions are tested, debugged, and deployed successfully
• Stay up-to-date with emerging trends and technologies in Kotlin development and related fields
• Continuously improve development processes and methodologies

Required qualifications:

• 5+ years of experience in Kotlin/Java development
• 2+ years of experience in Python development
• Experience in the FinTech or banking industry is a must-have
• Strong understanding of object-oriented programming principles and design patterns
• Strong problem-solving and analytical skills
• Ability to work independently and as part of a team
• Familiar with clean-code development principles
• Experience with software development lifecycle methodologies, including Agile and Scrum
• Experience with major frameworks and specifications, like Spring Framework
• Experience with both relational and non-relational DBs
• Experience with GCP or other cloud-based platforms is a plus.
• Knowledge of message queue systems like RabbitMQ or Apache Kafka.
• Understanding of DevOps practices and tools, such as Jenkins or GitLab CI/CD.
• Fluent English.

What do we offer?

• An opportunity to work on cutting-edge AI-based fintech products.
• Flexible work arrangements with 100% remote option
• A competitive salary and comprehensive benefits package.
• A dynamic, supportive, and collaborative team environment.
• Opportunities for continuous learning and professional development.
• Paid Sick Leave
• Sport Benefits

Senior Analytics Engineer - Risk Analytics

What you'll do

You’ll be great for this role if you have

• 5+ years of professional experience in tech, startups, data warehousing, or analytics.
• Strong, hands-on knowledge of dbt — including project ownership, coding guidelines, best practices, and the automated enforcement of those guidelines.
• Solid SQL skills with experience designing, building, and managing complex data models in a cloud data warehouse (ideally Snowflake), with a focus on performance and maintainability.
• Development experience in Python for pipeline development and automation.
• Experience with Git and CI/CD workflows.
• Strong ability to analyze complex data issues and provide robust, scalable data products.
• Strong problem-solving and analytical skills, with the ability to communicate clearly with both technical and non-technical stakeholders.
• Ability to manage multiple priorities and stakeholders effectively across teams and tribes.

Nice to have

• Experience with data mesh architecture
• Experience in fintech and transactional data models.
• Experience with pipelines orchestration and scheduling.
• Experience with AWS.

Benefits & Perks

• Opportunity to work with SumUppers globally on large-scale fintech products used by millions of businesses worldwide, from our Berlin office. This involves an office-first setup
• Commitment to Diversity and Inclusion: Be part of a workplace that values and promotes diversity, fostering an inclusive environment where everyone's perspectives are respected and embraced
• A dedicated annual L&D budget of €2,000 for attending conferences and/or advancing your career through further education
• Enrolment onto our VSOP program: You will own a stake in SumUp’s future success
• A corporate pension scheme where we match up to 20% of your contributions
• 30 Days Sabbatical: Enjoy the unique opportunity to take a well-deserved break with our 30 days sabbatical benefit after completing 3 years of employment with SumUp
• Referral Bonus: Earn additional rewards by referring talented individuals to join the SumUp team
• Numerous other benefits such as Urban Sports Club subsidy, Kita placement assistance, relocation assistance, subsidised office lunches

Team & Tech / What you’ll work with

• Robust data infrastructure (Git, Argo Workflows, dbt, Snowflake)
• Collaborations with Data Analysts and stakeholders for self-service analytics

Frontend Developer

TradingView is the world’s #1 platform for all things investing. 100M+ users trust us to inform their trading decisions. Want to make an impact? Apply now — help shape the future of finance.

What you'll do

• Responsibilities
• Creating new functionality and supporting existing functionality
• Test coverage
• Code review
• Developing and maintaining documentation
• Generating technical requirements and architectural solutions

Who you are

• Experience in frontend development 5+ years
• Excellent knowledge of JS, TS, React
• Experience in developing large projects with complex logic
• High level of independence and responsibility
• Problem solving skills and attention to detail

What we offer you

• Flexible working hours and a hybrid work format
• Well-equipped offices for focused and collaborative work
• A global, distributed team of 500+ professionals
• Learning, mentorship, and long-term career growth
• Relocation support and private health insurance
• Performance-based bonuses
• TradingView Premium access
• Regular team events and company-wide meetups

Tech stack

JS, TS, React

Team description

We are TradingView, the world's most popular charting platform and the industry's forefront for financial visualization solutions. 100M+ traders worldwide use our platform as a go-to destination to chart, chat, and trade financial markets.

Location

Paphos • Hybrid

Data analyst - Flow Cytometry

Job summary

We seek a skilled and motivated Data Analyst to join our Flow Cytometry Data Processing Group. As a Data Analyst, you will be responsible for working with databases and analyzing QC metrics related to flow cytometry. Your primary focus will be working with an ETL pipeline (Airflow) that collects data on the readiness of cytometric samples from various corporate sources.

Responsibilities

• Work with open-source databases related to NGS and Flow Cytometry data
• Maintain and enhance the existing ETL pipelines responsible for collecting and processing data from those databases;
• Build new and support existing dashboards to provide comprehensive insights into the current processes of the team;
• Develop and analyze QC metrics for NGS and Flow Cytometry data.

Qualifications

• Bachelor's degree in a relevant field such as Bioinformatics, Data Science, or a related discipline;
• Proven experience working with databases and conducting data analysis, preferably in a scientific or research environment;
• Familiarity with ETL pipelines (Airflow, Prefect) and the ability to work with multiple data sources.
• Strong analytical skills and attention to detail, with the ability to identify trends, patterns, and anomalies in data;
• Knowledge of flow cytometry principles and QC metrics is a strong plus.
• Knowledge of standard NGS pipelines is a strong plus.
• Excellent communication skills and the ability to work effectively within a multidisciplinary team.

Our offering

Why Join Us?

Join our team at BostonGene, where your work makes a real difference! As a pioneering biotech company with a global footprint, we're passionate about improving lives through groundbreaking oncology personal healthcare. With a team of over 500 dedicated professionals, we foster an empowering environment where your unique skills contribute to a healthier, better world. At BostonGene, you're not just choosing a career; you're stepping into a role that leverages your talents to create a positive change. Discover a workplace that values you as its most precious asset, offering a competitive benefits package designed to enhance your life and those around you.

• Full-time position with a permanent contract, flexible working hours, and hybrid work format.
• Relocation package to Yerevan for candidates and their immediate family members, including full support with documentation and bureaucracy (bank accounts, residence permit, school contacts, etc.).
• Competitive salary and comprehensive health insurance.
• Corporate benefits: English language courses, gym plan, and office snacks.
• Convenient office location in Yerevan within a 1-minute walk from the metro.
• Structured onboarding, mentorship, and a supportive professional environment.
• Opportunity to work in a multidisciplinary team of bioinformaticians, biologists, physicians, and software engineers developing cutting-edge precision oncology solutions.

Description

Launched in 2019, Constructor is an AI-first ecommerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains.

As a Senior Machine Learning Engineer in the Search Quality team, you will improve the e-commerce experience for hundreds of millions of users across the world by building the systems that power relevance for global retailers - from fashion and grocery to electronics and hardware.

The mission is to measure search quality, push it higher, and catch degradations before the user does. You will achieve this through a blend of fine-tuned LLMs for relevance judgment, real-time models, and deep offline analysis of query logs.

What makes this interesting

• Multi-domain, multi-language, at scale - 40+ languages, 20+ domains. The models need to generalize across all of them - without per-customer rules or overrides.
• No universal ground truth. A grocery retailer and a fashion retailer may have different perceptions on what "relevant" means.
• Efficiency at scale. Optimizing and scaling LLM inference across our entire customer base.

What you'll do

• LLM-based evaluation. We fine-tune our own models to assess relevance. This involves teaching the model to understand query intent, represent items from messy catalog data, and align model judgments with real user behavior.
• Real-time quality in production. Reranking, filtering, signal computation. Latency is a strict requirement, so quality vs speed tradeoff is constant.
• Automated quality monitoring and agentic insights. Pipelines to detect degradations and find underperforming patterns. Agent-based systems that generate actionable recommendations for the product data and search configurations.

Requirements

• 4+ years shipping production ML systems
• Experience with search, information retrieval, or recommendation systems
• Hands-on experience with fine-tuning, evaluation frameworks, and scaling LLM deployments
• Strong Python and PyTorch. Fluency in SQL and data orchestration tools (Spark, Airflow)
• Experience designing and running A/B tests to validate model impact
• Excellent English communication skills
• Experience collaborating in cross-functional teams (ranking, product, data engineering)

Benefits

• 🧠 Work with smart and empathetic people who will help you grow and make a meaningful impact.
• 🎉 Regular team offsite events to connect and collaborate.
• 🌎 Fully remote team - choose where you live.
• 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year.
• 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office.
• 💻 Apple laptops provided for new employees.
• 🧑‍🎓 Training and development budget for every employee, refreshed each year.
• 👪 Maternity & Paternity leave for qualified employees.
• 💵 Base salary: $80k–$120K USD, depending on knowledge, skills, experience, and interview results
• 📈 Stock options - offered in addition to the base salary

Who you are

The description mentions collaboration in cross-functional teams including ranking, product, and data engineering, but specific "who you are" criteria are encompassed in the requirements above, including communication skills and experience across domains.

Senior Machine Learning Engineer (f/m/d)

What You Will Do

• Architect and deploy a high-throughput, low-latency recommendation system capable of scaling to millions of users and billions of daily requests.
• Leverage Large Scale Dataset: identify relevant signals to improve model performance.
• Develop and refine relevance models, bidding strategies, using advanced machine learning techniques, directly influencing the company revenue.
• Own the end2end lifecycle of production machine learning models, including rigorous monitoring, in-depth performance analysis, and data-driven iterative improvements.
• Collaborate closely with backend engineering teams to design and implement robust, scalable, and production-ready machine learning solutions, ensuring seamless integration and industrialization of reusable models and assets.
• Conduct rigorous A/B testing and experimentation, Validate your hypothesis and measure the impact of new features on key business metrics.

Who You Are

• You have 5+ years of proven experience developing and deploying production-grade recommendation systems in a high-volume environment (e.g., adtech, e-commerce, search).
• You demonstrated expertise in deep learning, with hands-on experience building and optimizing neural network architectures for recommendation tasks using TensorFlow, PyTorch or Jax.
• You are a software engineer at heart.
• Plus: you have understanding of data engineering principles
• Plus: experience working with large-scale distributed data processing systems (e.g., Spark, Flink, Kafka) and data storage solutions (e.g., AWS Athena, S3, MySQL).

Benefits to Support Your Ambitions

• Invest in Your Future: Regular feedback and our development program support your growth, helping you expand your skill set and achieve your career goals.
• Easy Arrival to adjoe: From signing to settling in Hamburg, we’ve got you covered. Need a visa? No problem. Ready to build your new life and career at adjoe in Hamburg? We support every ambition—from learning German to a relocation bonus that helps you settle in and make Hamburg feel like home.
• Live Your Best Life, at Work and Beyond: We work in a hybrid setup with 3 core office days, plus flexible working hours. Enjoy 30 vacation days, 3 weeks of remote work per year, and free access to an in-house gym with lots of different fitness classes and mental health support through our Employee Assistance Program (EAP).
• Thrive Where You Work: Enjoy the Alster lake view from our central office with top-notch equipment, fun open spaces, and a large variety of snacks and drinks.
• Join the Community! Participate in regular team and company events, including hackathons and social gatherings. We work together, and we celebrate together, too.

Responsibilities

• Write high-quality, performant code primarily in Go.
• Implement new microservices while helping us responsibly manage and migrate away from legacy services.
• Work closely with product managers, designers, and data scientists to turn abstract requirements into concrete technical designs.
• Ensure our systems stay responsive under heavy load, optimising for both latency and reliability.

Requirements

• 3+ years of experience (5+ years for seniors) building and maintaining scalable backend services.
• We use Go. If you know it, great. If not, we’ll interview you in your strongest language (Python, C++, Java, Ruby, etc.). We hire for engineering fundamentals, not syntax.
• In-depth knowledge of relational and NoSQL databases (PostgreSQL, MongoDB, Redis) and experience with message brokers like RabbitMQ or Kafka.

What you’ll do

Not explicitly separated, but responsibilities listed above describe daily work: building Go-based microservices, migrating from legacy Ruby monolith, collaborating with cross-functional teams, maintaining performance and reliability.

Who you are

Not explicitly separated, but requirements imply you are a backend engineer with 3+ (5+ for seniors) years of experience, proficient in Go (or strong in another language), and knowledgeable in relational/NoSQL databases and message brokers.

Tech stack

• Go
• PostgreSQL
• MongoDB
• RabbitMQ
• Redis
• gRPC
• Thrift
• AWS
• Kubernetes
• Terraform

Team description

Platform team that builds shared tooling, manages migrations (including moving away from a Ruby monolith), and evolves infrastructure to enable the broader engineering organization to move fast. Emphasis on clean, maintainable code, shipped fast with TDD, DDD, and CI/CD.

Benefits & perks

• Office-based role in West London, four days a week with flexible start/finish times, plus one remote day per week
• Salary: £90,000 – £120,000
• Employee stock options plan
• Private medical and dental insurance
• Life and critical illness cover
• Latest-generation MacBook Pro and 4k display
• Monthly credit towards Wheely journeys
• Cycle to Work scheme
• Professional development stipend
• Relocation support, including visa sponsorship and allowance

How to apply / interview process

Not a separate section in the provided text beyond the role description; interview process details mentioned: recruiter screen, algorithms and live coding. Senior+ candidates also complete a system design section and a structured review of past experience and achievements.

At Exness, we are not just a leading trading broker—we’ve reimagined what it takes to be a leader. With 40M+ trades a day and 2,000+ people across 13 countries, we combine scale, care, and real tech to make trading better for 1M+ clients worldwide.

Recognised globally as a Best Place to Work, we’re a people-first company where long-term wins always matter more. As part of our team, you will shape the future of fintech with real technology, care, and purpose.

Why this role matters

You will design and operate an on-prem AI platform for deploying and scaling models, working across multi-node GPU clusters, distributed systems, and Kubernetes. You will be responsible for building reliable and efficient infrastructure for large-scale model inference, ensuring optimal GPU utilization, performance, and availability of the platform.

The role is based in our Limassol office, Cyprus. In case of relocation, we offer full relocation support for you and your family to make your move smooth and worry-free.

What you'll actually do

• Close collaboration with infrastructure teams on selection and configuring GPU servers, high-performance networking, and RDMA-enabled clusters.
• Perform and manage GPU MIG configurations based on workload requirements and model characteristics.
• Ensure reliable and scalable GPU operations in Kubernetes, including runtime integration, device plugins, and GPU scheduling capabilities.
• Design, deploy, and maintain model serving runtimes, including vLLM, ONNX, SGLang, Nvidia Triton Runtimes, and KServe, ensuring high performance, scalability, and efficient GPU utilization.
• Build and maintain CI/CD pipelines and tooling for model packaging, versioning, and deployment, enabling reliable and model delivery for internal teams.
• Build and maintain platform tooling for model lifecycle management, including experiment tracking, model versioning, and registry systems (e.g. MLflow).
• Enable infrastructure and workflows for model fine-tuning and adaptation (e.g. LoRA), focusing on scalability, reproducibility, and automation within the platform.
• Develop and support internal tooling for managing model inputs and configurations (e.g. prompt templates), enabling consistent and reusable model usage patterns.
• Conduct performance testing and evaluation of multi-node GPU clusters to identify and resolve bottlenecks.
• Build and maintain observability for GPU clusters and model workloads, including metrics such as GPU utilization, memory usage, throughput, and latency.
• Integrate tracing for model inference workflows to provide end-to-end visibility into requests, and model behavior.
• Ensure compliance with security requirements for platform development.
• Evaluate and benchmark model inference performance across different runtimes, hardware setups, and configurations to guide platform optimization.

Who we’re looking for

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field
• 5+ years of experience in infrastructure, platform engineering, or distributed systems
• Hands-on experience working with GPU infrastructure, including NVIDIA or AMD stack and multi-GPU environments
• Strong experience with Kubernetes, including deploying and operating production workloads
• Experience with Linux-based environments
• Strong programming skills in Python and/or Go
• Understanding of distributed systems and multi-node workloads
• Experience with model serving and inference systems (e.g. vLLM, ONNX, SGLang, Nvidia Triton Runtimes, KServe)
• Experience with CI/CD pipelines and automation for deploying services or models
• Experience with monitoring and observability tools (metrics, tracing, logging)
• Nice to have familiarity with networking concepts relevant to distributed systems (e.g. RDMA, high-performance networking)
• Good communication and problem-solving skills
• Ability to use advanced English for different work and business purposes
• Critical thinking and attention to detail
• Decision-making skills and the ability to adapt to new changes
• Ability to write concise and clear documentation
• Capability of dealing with constructive critics and knowing how to develop relationships with the team to achieve common goals

What we offer along the way

• Competitive salary and annual performance bonus
• Full relocation support for you and your family — flights, housing, visas, and legal assistance included
• Top-tier health insurance with full family coverage — medical, dental, vision, mental health — plus life insurance for peace of mind
• Unlimited learning opportunities: external courses, English lessons, career and leadership development
• Education allowance covering school and kindergarten fees
• 21 working days of annual leave, plus public holidays and fully paid sick, maternity, and paternity leave
• Employee appreciation program: branded gifts, birthday day-offs, celebration budgets for weddings, newborns, and milestones
• “Get to know Team” trips — meet colleagues across our global hubs, along with company-wide offsites that raise the bar
• Employee share scheme — grow with us
• Branded MINI Cooper Countryman company car and private parking
• Free in-house sports clubs, Sanctum Club gym access, and jet skis
• Access to a Corporate doctor
• Exclusive discount program with cafes, gyms, and local services
• Expat tax perks: up to 50% income tax exemption
• Support with the naturalisation process for relocated employees

At Exness, we know that changing jobs - and changing countries - is a big step. That’s why relocation with Exness is different. We make it smooth, supported, and truly life-changing.

What your journey looks like

1. Intro call with Recruiter (30 minutes)
2. English check (if needed)
3. Tech interview (90 minutes)
4. Behavioural interview (60 minutes)

Why this role matters

We are seeking a Big Data Ops with a balance of skills in design, physical implementation and performance tuning to create, operate and support Big Data Data and AI Infrastructure and environments running on-premise or on external cloud services providers.

You will be a part of our friendly and professional team working on ambitious projects and tasks developing our Data Lake.

The role is based in our Limassol office, Cyprus. In case of relocation, we offer full relocation support for you and your family to make your move smooth and worry-free.

What you'll actually do

• Manage k8s cluster environments on bare-metal and container infrastructure, including service allocation and configuration for the cluster, capacity planning, performance tuning, and ongoing monitoring;
• Implement and operate Data Lake (S3 + Trino);
• Operate and Develop on-premise AI infrastructure
• Deploy and maintain Spark on k8s;
• Data protection according to company security policies;
• Provide monitoring and alerting of the services;
• Participate in Data Platform architecture development.

Who we’re looking for

• 5+ years of working experience and knowledge of containers (e.g., docker, containerd) and major orchestrators (e.g., Kubernetes, rancher);
• Excellent knowledge of Linux;
• Strong knowledge of Java/Python/GO, SQL;
• Relevant experience in deployment and maintaining Hadoop Ecosystem including Spark framework will be considered highly advantageous;
• Deep understanding of Hadoop and Spark cluster security, networking connectivity and IO throughput along with other factors that affect distributed system performance will be considered highly advantageous;
• Understanding object storage solutions based on S3;
• Working knowledge of automation tools (e.g., Puppet, Chef, Ansible)
• Understanding of base principles CI/CD in the data processing area;
• Experience with Big Data Processing & Data Lake building;
• Strong working knowledge of disaster recovery, incident management, and security best practices;
• Good communication and problem-solving skills;
• Spoken and written at least Intermediate English;
• Detail-oriented and critical thinking;
• Decision-making and adaptability to new changes.

What we offer along the way

• Competitive salary and annual performance bonus
• Full relocation support for you and your family — flights, housing, visas, and legal assistance included
• Top-tier health insurance with full family coverage — medical, dental, vision, mental health — plus life insurance for peace of mind
• Unlimited learning opportunities: external courses, English lessons, career and leadership development
• Education allowance covering school and kindergarten fees
• 21 working days of annual leave, plus public holidays and fully paid sick, maternity, and paternity leave
• Employee appreciation program: branded gifts, birthday day-offs, celebration budgets for weddings, newborns, and milestones
• “Get to know Team” trips — meet colleagues across our global hubs, along with company-wide offsites that raise the bar
• Employee share scheme — grow with us
• Branded MINI Cooper Countryman company car and private parking
• Free in-house sports clubs, Sanctum Club gym access, and jet skis
• Access to a Corporate doctor
• Exclusive discount program with cafes, gyms, and local services
• Expat tax perks: up to 50% income tax exemption
• Support with the naturalisation process for relocated employees

What your journey looks like

1. Intro call with Recruiter (30 minutes)
2. English check (if needed)
3. Tech interview (90 minutes)
4. Behavioural interview (60 minutes)
   

Position Overview

We are looking for a Senior Machine Learning Engineer to build the core Machine Learning foundations that power Nova’s agentic experiences. This role focuses on applied Machine Learning in production environments: retrieval systems, evaluation frameworks, and model integration layers that make AI features reliable, scalable, and repeatable. You will design and implement the underlying components that support rich, intelligent interactions in the Iterable platform. You will work closely with backend, frontend, and product teams to shape how Machine Learning is introduced and maintained across the company. The work blends hands-on engineering with system design, and is ideal for someone who can drive complex efforts independently, make practical architectural decisions, and collaborate in a fast-moving, cross-functional product environment.

What you'll do

• Design and build Machine Learning platform components that support agentic systems, including retrieval pipelines, indexing strategies, and model integration layers.
• Introduce and operationalize RAG use cases, from data sourcing and embedding generation to runtime retrieval patterns.
• Develop generalized evaluation frameworks for LLM- and agent-based features, including offline metrics, golden datasets, and continuous monitoring.
• Implement abstractions, tooling, and reusable patterns that enable other teams to build ML- and LLM-powered experiences efficiently.
• Partner with backend engineers to productionize ML features with strong reliability, observability, and performance characteristics.
• Prototype applied ML solutions to validate feasibility before investing in full builds.
• Ensure secure, robust handling of data used in ML workflows and retrieval operations.
• Collaborate with product, design, and engineering to align ML system design with user experience and product goals.
• Contribute to iterative improvements of the Nova agent framework, including workflows built with Mastra and TypeScript.

Qualifications

• 5+ years experience as a Machine Learning Engineer or similar role focused on production systems.
• Strong engineering skills with Python or TypeScript, including experience building ML workflows in frameworks like Mastra or comparable agent/LLM toolkits.
• Experience with retrieval systems, vector databases, search technologies, or RAG architectures.
• Prior work integrating ML or LLM-powered features into production applications.
• Understanding of ML evaluation techniques, experimentation design, and failure analysis.
• Ability to lead complex projects, make practical trade-offs, and work independently in areas of ambiguity.
• Strong communication and collaboration skills in a distributed environment.

Bonus Points

• Experience building ML or LLM platforms, tooling, or developer-facing frameworks.
• Prior work with embeddings, search–ranking systems, or advanced RAG architectures.
• Familiarity with event-driven systems or streaming architectures.
• Experience with model observability, performance monitoring, or proactive regression detection.
• Background in personalization, recommendations, or applied NLP.
• Experience working in remote-first engineering teams.

Perks & Benefits

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance
• Monthly Professional Development allowance
• Pre-tax commuter benefits
• Complete laptop workstation

Job title: (Senior) Digital Analytics Specialist

You’ll do

• Implement and maintain tracking using tools like Google Tag Manager, ensuring data quality and reliability
• Support teams across the company by troubleshooting tracking issues and advising on best practices
• Analyze data (e.g. GA4, BigQuery, Snowflake) to validate implementations and investigate inconsistencies
• Contribute to improving our analytics infrastructure, including tagging architecture and data models
• Play a key role in advancing experimentation at SumUp, supporting A/B testing initiatives and helping define best practices
• Drive standardisation and governance in tracking and experimentation across teams
• Create documentation, templates, and guidelines to scale knowledge and improve self-service
• Engage with stakeholders across Product, Marketing, and Data to align on priorities and solutions

You’ll be great for this role if you have

• Strong experience with Google Analytics 4 (web and/or app) and Google Tag Manager
• Solid understanding of tracking implementation, including server-side tagging
• Experience working with SQL and basic data transformation (e.g. ETL processes)
• Hands-on experience with A/B testing and a good understanding of the experimentation lifecycle
• A product analytics mindset, with the ability to connect data to business impact
• Experience working with cross-functional stakeholders and supporting non-technical teams
• Strong problem-solving skills and the ability to balance reactive support with proactive improvements
• Good understanding of privacy-first tracking (e.g. GDPR considerations)

Nice to have

• Experience with dbt or modern data tooling
• Exposure to marketing analytics or campaign tracking
• Experience helping scale experimentation practices or communities

Why you should join SumUp

• 🌍 Opportunity to work with SumUppers globally on large-scale fintech products used by millions of businesses worldwide, from our Berlin office. This involves an office-first setup
• 🌈 Commitment to Diversity and Inclusion: Be part of a workplace that values and promotes diversity, fostering an inclusive environment where everyone's perspectives are respected and embraced
• 📚 A dedicated annual L&D budget of €2,000 for attending conferences and/or advancing your career through further education
• 🚀 Enrolment onto our VSOP program: You will own a stake in SumUp’s future success
• 💶 A corporate pension scheme where we match up to 20% of your contributions
• 🔄 30 Days Sabbatical: Enjoy the unique opportunity to take a well-deserved break with our 30 days sabbatical benefit after completing 3 years of employment with SumUp
• 🔗 Referral Bonus: Earn additional rewards by referring talented individuals to join the SumUp team
• 🚵🏾‍♂️ Numerous other benefits such as Urban Sports Club subsidy, Kita placement assistance, relocation assistance, subsidised office lunches

About us

Be empowered to do more that matters. At SumUp, we're on a mission to empower small businesses across the globe by providing simple and affordable tools that allow them to thrive. Today, over 4 million businesses in 36 markets rely on SumUp as their financial partner to manage payments, finance and customer relationships. Our commitment to small businesses is reflected in our diverse team of over 3,000 SumUppers from over 90 nationalities, united by global collaboration and an innovative mindset. Our core values lay the foundation for who we are and what we stand for, shaping our work culture and driving our success. We foster inclusivity and a continuous learning culture, providing a safe space for personal and professional growth. Our differences make us unique and strong as we strive to create an environment where everyone belongs and feels supported, no matter how they identify. SumUp is proud to be an Equal Employment Opportunity employer, actively seeking and embracing diversity in our workforce. We don't make hiring or employment decisions based on race, colour, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age or any other basis protected by applicable laws or prohibited by company policy. Our commitment extends beyond recruitment to creating a safe and respectful workplace where harassment of any form is strictly prohibited. Explore career opportunities with us and join a team driven by collaboration, innovation, and a shared vision of creating a world where everyone can build a thriving business. Discover more about our vibrant and inclusive work culture and how we work on our careers website, and follow our journey on LinkedIn and Instagram.

Team Lead DevOps

What you'll do

• Team management: task assignment, prioritization, progress tracking, and team development.
• Mentoring and supporting team members, conducting code reviews, and providing technical feedback.
• Conducting technical interviews and participating in hiring new team members.
• Monitoring team progress, identifying bottlenecks, and contributing to process improvements.
• Designing and maintaining automated CI/CD deployment pipelines.
• Conducting research and experiments (R&D).
• Building and configuring infrastructure using Ansible and Terraform.
• Setting up and optimizing bare-metal servers.
• Ensuring high availability of services.
• Migrating services and applications to Kubernetes (EKS, self-managed Kubernetes).

Who you are

• Experience in managing DevOps teams for at least 2 years.
• Knowledge of infrastructure automation and containerization tools (Docker, Kubernetes).
• Experience with cloud platforms, preferably AWS, knowledge of infrastructure management tools (Terraform).
• Knowledge of CI/CD, experience with Jenkins, GitLab CI.
• Skills in ensuring security and fault tolerance of systems.
• Ability to build interaction between development and operations teams.

What we offer you

• Flexible working hours and a hybrid work format.
• Well-equipped offices for focused and collaborative work.
• A global, distributed team of 500+ professionals.
• Learning, mentorship, and long-term career growth.
• Relocation support and private health insurance.
• Performance-based bonuses.
• TradingView Premium access.
• Regular team events and company-wide meetups.

Tech stack / team description

The DevOps teams consist of five areas: Cloud (AWS), Frontend DevOps, Backend DevOps, Core DevOps, and Kubernetes DevOps. We provide a stable, secure, and scalable infrastructure that powers all TradingView services, and we also support tools and processes that help speed up product development and releases. Each team has tech leads responsible for technical direction and standards, as well as project managers who help set priorities, align work, and ensure transparency across processes.

What you’ll do

Desarrollar nuevas capacidades de la plataforma y ofertas de productos, desde el diseño hasta el lanzamiento. Encontrar el equilibrio entre la rapidez de comercialización y el crecimiento a largo plazo, diseñando con visión de futuro y construyendo para el presente. Colaborar con el departamento de Productos para definir iniciativas del tamaño adecuado y elaborar una hoja de ruta que satisfaga las necesidades empresariales trimestre tras trimestre. Preservar la buena voluntad de los clientes garantizando la disponibilidad del sistema, participando en turnos de guardia, atendiendo las solicitudes de asistencia y tomando medidas preventivas para mejorar la fiabilidad. Ofrecer orientación a los ingenieros del equipo y de toda la organización. Desempeñar un papel activo en la mejora continua de la organización de ingeniería mediante debates durante el almuerzo, presentaciones del equipo y revisiones con la alta dirección.

Lo que debes traer

• Dominio avanzado de inglés (requisito excluyente).
• +2 años de experiencia en desarrollo de software backend con un alto dominio de Ruby (preferiblemente), Golang o JavaScript/TypeScript.
• Sólidos conocimientos de los fundamentos de la informática, como bases de datos relacionales y no relacionales, estructuras de datos, algoritmos y API REST.
• Experiencia en modelado de dominios, diseño de objetos y arquitectura de sistemas.
• Experiencia demostrada en la redacción de código claro, probado y conciso.
• Competencia para establecer expectativas y tomar decisiones informadas a través de estimaciones de proyectos basadas en la información disponible.
• Capacidad para redactar y revisar propuestas técnicas, proporcionando comentarios constructivos y articulando compensaciones.
• Fuerte sentido de la responsabilidad en todos los aspectos del ciclo de vida del desarrollo, incluida la respuesta a incidentes y la responsabilidad por la solidez del producto.
• Deseo de colaborar y compartir conocimientos con los compañeros, tanto dentro del equipo como en toda la organización.
• Entusiasmo por aprender, mejorar e innovar en un entorno dinámico y colaborativo.
• Disponibilidad para trabajar en modalidad híbrida en nuestra oficina en Santiago. 3 días en oficina y 2 días trabajamos desde casa.
• Una mentalidad de alto rendimiento con una marcada predisposición a la acción: elevas el listón, actúas con urgencia, mantienes la resiliencia ante la incertidumbre y tomas responsabilidad para lograr resultados significativos.

Lo que obtendrás

• Contrato indefinido.
• Salario competitivo en CLP.
• Seguro de salud, vida y dental para ti y tu familia.
• Bono anual de $3,000 USD para aprendizaje y desarrollo.
• RSU.
• 5 días adicionales de vacaciones.
• almuerzo los días que vas a la oficina

Team description / who you are / tech stack / benefits

Este puesto forma parte de un equipo que colabora para avanzar la plataforma de datos del futuro, con enfoque en escalabilidad, fiabilidad y modernización de la pila técnica. Se espera que el candidato contribuya a iniciativas de producto, guíe a otros ingenieros y participe en prácticas de mejora continua. El rol menciona una modalidad de trabajo híbrida en Santiago, con oficina 3 días a la semana y 2 días remotos, y una cultura de alto rendimiento y rapidez en la ejecución.

Database Administrator (MySQL) - Job Description

BrainRocket is a global company creating end-to-end tech products for clients across Fintech, iGaming, and Marketing. Young, ambitious, and unstoppable, we've already taken Cyprus, Malta, Portugal, Poland, and Serbia by storm. Our BRO team consists of 1,300 bright minds creating innovative ideas and products. We don’t follow formats. We shape them. We build what works, launch it fast, and make sure it hits.

We are looking for a Database Administrator (with MySQL knowledge) to join our team in Lisbon, Portugal.

Requirements

• Experience with MySQL - at least 5 years;
• Experience in the administration of Percona Xtradb Cluster, MariaDB - at least 3 years;
• Experience in tuning and optimizing MySQL;
• Skill to optimize SQL queries, build indexes;
• Experience with Percona toolkit components;
• Experience with Linux and its components - at least 3 years;
• At least an Intermediate level of English.

Duties and opportunities

• Analysis and optimization of slow queries;
• SQL consultation for developers;
• Monitoring of MySQL servers;
• Monitoring of backup execution;
• Support for high-load clusters.

We offer

• Learning and development opportunities and interesting, challenging tasks.
• Relocation package (tickets, staying in a hotel for up to 2 weeks, and visa relocation support for our employees and their family members).
• Opportunity to develop language skills, with partial compensation for the cost of English and Portuguese language classes (for localization purposes).
• Partial compensation for tennis and padel lessons.
• Urban Sport membership benefit (the most diverse sports and wellness offering in Europe, with more than 50+ activities).
• Private medical coverage, including inpatient, outpatient, dental care, annual check-ups, and maternity support.
• Time for proper rest, with 24 non-business days per year and an additional 6 paid sick days.
• Transport compensation - 200 euros net per month.
• Competitive remuneration level with annual review.
• Teambuilding activities.

Bold moves start here. Make yours. Apply today!

Description

About Us

Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we’ve built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We’re passionate about maintaining this and work on the bleeding edge of AI to do so.

Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco.

We’re a passionate team who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things.

Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today.

About the Position

As an Integration Engineer on the Customer Data Integrations team, you will improve the ecommerce experience for millions of shoppers by building monitoring tools that ensure reliable, high-quality integrations with Constructor’s platform. You’ll also support successful customer launches through hands-on technical guidance and collaboration. The responsibilities include:

• Acting as a technical partner to customers during onboarding and integration, providing guidance through calls and hands-on collaboration
• Building and maintaining internal tools that improve visibility into customer integrations, including dashboards and systems that surface data quality and integration health
• Evolving our event tracking to ensure the reliable and scalable data collection that powers our AI algorithms
• Improving documentation, training materials, and developer resources for both customers and internal teams
• Supporting customers asynchronously by troubleshooting issues, reviewing implementations, and validating data quality while proactively monitoring integration health
• Collaborating with integration-focused teams to identify recurring integration challenges and develop scalable solutions
• Partnering with Product, Customer Success, and other engineering teams to shape the future of customer integrations

How We Work

• Remote-first - work from anywhere
• Bi-weekly sprints/retros and daily stand-ups - Lightweight processes that favor rapid continuous development
• High trust, low ego culture focused on outcomes over hours
• Continuous learning encouraged through an annual learning stipend and peer mentorship

(Senior) Backend Engineer, Platform

About Wheely

Wheely is redefining premium transportation across major cities in Europe, the US, and the Middle East. We blend cutting-edge technology with the craft of five-star chauffeuring to deliver an experience trusted by more than 100,000 active riders and 1,200 corporate accounts. We’re a profitable, fast-growing scale-up with $43M raised and over $100M in annual revenue. Having recently launched in New York City, we’re expanding rapidly across the US and EMEA. If you take pride in your craft and want to help shape the next chapter of our growth, we'd love to hear from you.

About the Role

Our Platform team creates the foundation that allows our entire engineering organisation to move fast. This means building shared tooling, managing migrations (including our move from a Ruby monolith), and evolving our infrastructure. We’re looking for a Mid/Senior Backend Engineer to join a team that keeps frameworks lean and focuses on what matters: clean, maintainable code, shipped fast with TDD, DDD, and continuous integration and delivery. We are a Go shop, and while we’re busy migrating away from our Ruby monolith, our stack includes PostgreSQL, MongoDB, RabbitMQ, Redis, gRPC, and Thrift. Everything runs on AWS and Kubernetes, managed via Terraform. Our interview process includes a recruiter screen, algorithms and live coding. Senior+ candidates also complete a system design section and a structured review of past experience and achievements.

What you'll do

• Write high-quality, performant code primarily in Go.
• Implement new microservices while helping us responsibly manage and migrate away from legacy services.
• Work closely with product managers, designers, and data scientists to turn abstract requirements into concrete technical designs.
• Ensure our systems stay responsive under heavy load, optimising for both latency and reliability.

Requirements

• 3+ years of experience (5+ years for seniors) building and maintaining scalable backend services.
• We use Go. If you know it, great. If not, we’ll interview you in your strongest language (Python, C++, Java, Ruby, etc.). We hire for engineering fundamentals, not syntax.
• In-depth knowledge of relational and NoSQL databases (PostgreSQL, MongoDB, Redis) and experience with message brokers like RabbitMQ or Kafka.
• Upper-Intermediate (B2) English proficiency or higher.
• You should be comfortable debating technical trade-offs with your peers.

What we Offer

• Office-based role in Nicosia, four days a week with flexible start and finish times, plus one remote day of your choice
• Competitive salary
• Employee stock options plan
• Private medical and dental insurance
• Daily Lunch allowance
• Latest-generation MacBook Pro and 4k display
• Professional development stipend
• Relocation support, including visa sponsorship and allowance

All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice

QA Engineer (Middle/Senior)

Location - Remote.

Qualifications

• Solid understanding of the software development life cycle (SDLC) and modern testing methodologies
• 3+ years of experience in software testing (manual and/or automated)
• Hands-on experience with test case design, execution, and test planning
• Experience with test automation frameworks (e.g. Cypress, Playwright, Selenium or similar)
• Ability to analyze complex systems and identify edge cases
• Strong analytical thinking and attention to detail
• Ability to work independently and take ownership of QA processes
• Good communication skills and ability to collaborate with cross-functional teams
• Strong verbal English skills
• Experience in API testing (REST/GraphQL) is a plus
• Experience with SQL for data validation and troubleshooting

Responsibilities

• Own end-to-end testing of features within our data extraction application
• Design, implement, and maintain test cases and test plans
• Execute both manual and automated tests to ensure product quality
• Identify, document, and track bugs with clear reproduction steps and impact assessment
• Collaborate closely with developers, product, and QA team to resolve issues
• Contribute to and improve QA processes, tools, and best practices
• Participate in release planning and ensure quality gates are met
• Analyze test results and provide insights on product quality and risks
• Mentor junior QA engineers and support their development
• Continuously improve test coverage, including automation and performance considerations

What We Offer

• Fully remote work flexibility.
• Competitive salary package.
• Opportunities for learning and professional growth.
• Reimbursement for software, hardware, and professional development expenses.