We are looking for a Football Trader to join our team. The Trader will be responsible for the life-cycle of odds: from pre-match creation to in-play trading. This will involve ownership of designated competitions, pricing of in-house markets, management of markets, trading live matches, and risk management across our platform. This role combines data analysis, market awareness, and real-time decision-making to optimise trading performance and manage financial exposure.

The successful candidate should have a hunger to drive our betting offer forward coupled with a data driven approach. They should have a strong knowledge of football, sports betting markets and statistical analysis, with the ability to react quickly in fast-paced live environments.

What you'll be doing:

• Set up, price and manage a range of football markets across domestic and international competitions for both Pre Match and In Play
• Compile odds for a range of player and stats-based markets that include Shots, Fouls, Tackles, and Offsides
• Monitor and adjust odds based on market activity, team news and liabilities whilst assessing and reacting to sharp betting patterns
• Manage a diverse range of in-play football markets during live matches using the in-house soccer model - Corners, Cards, Stats and Player markets
• Ensure markets remain competitive while maintaining profitable margins
• Monitor trading tools and feeds to maintain accurate and timely market updates
• Active collaboration with Risk teams when necessary
• Conduct analyses of the markets and competitions you are responsible for - betting trends, customer behaviour, and market performance
• Work closely with quantitative analysts, product teams, and risk teams to improve trading models, tooling and platform functionality

What we are looking for:

• Strong knowledge and passion for football, including major leagues and competitions
• Experience in sportsbook trading and betting operations
• Ability to make fast, accurate decisions under pressure
• Solid understanding of probability, odds calculation, and betting markets
• Proficiency in Excel and Google Sheets and trading platforms; knowledge of Python/R is a plus
• Ability to work shifts including evenings, weekends, and major football events

Desirable Qualifications

• Degree in Mathematics, Statistics, Economics, Data Science, or a related field
• Previous experience with in-play trading systems or automated trading tools
• Knowledge of multiple sports betting markets (Totals, Player Props, Stats markets etc.)

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.

The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.

Project Tech Stack

Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs

What You’ll Do

• Define and enforce best practices and coding standards across the project
• Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
• Working both independently and in close collaboration with others in the team
• Communicating clear instructions to team members and helping manage the flow of day-to-day operations
• Communicating with the client regularly 
• Design, develop, and maintain robust and scalable Spark applications
• Write clean, maintainable, and efficient code following best practices and coding standards
• Optimize code for performance and scalability, ensuring efficient data handling
• Work closely with cross-functional teams to deliver high-quality software solutions
• Identify and resolve technical issues, ensuring the reliability and performance of applications
• Create and maintain comprehensive documentation for code, processes, and workflows

What You Bring

• 5+ years of hands-on experience in software development
• Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
• Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
• Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
• Proven expertise in data processing, analysis, and transformation workflows
• Strong analytical and problem-solving abilities with a detail-oriented mindset
• Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
• Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
• Solid understanding of microservices architecture and its implementation in scalable systems

Nice to Have

• Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
• Familiarity with FastAPI
• Expertise in containerization and orchestration tools such as Docker and Kubernetes

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

The Bankruptcies & Hardships team (B&H) is a newly formed engineering group responsible for building Affirm’s core servicing platforms that support customers during critical financial moments. The team owns backend services and pipelines that orchestrate bankruptcy workflows and power compliant, reliable hardship support at scale.

Engineers on this team work on distributed systems, event-driven pipelines, and high-availability services with a strong emphasis on correctness, auditability, and operational excellence. You’ll collaborate closely with product, compliance, and other platform teams while helping shape foundational systems in a greenfield environment. This is a high-impact opportunity to apply deep backend expertise in Python and Kotlin to systems that matter to both customers and the business.

What You'll Do

 - With the support of your team, you will work on tasks that contribute to the team's projects and goals.
 - You will work collaboratively and proactively with your team and stakeholders, bringing them along for your work and helping to create visibility and dialog regarding the risks and trade-offs related to your work.
 - You will strike the right balance of speed and quality in your work, ensuring that we hit our business goals while protecting our systems from downtime.
 - You will contribute to a sense of community on your team by engaging in growth and development activities.

 What We Look For  

 - You have previous work or internship experience designing, developing and launching backend systems at scale and are experienced using one of Python or Kotlin.
 - You are familiar with the building blocks of distributed systems, and the technologies like AWS, MySQL and Kubernetes.
 - You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood,
  well tested and extensible code.
 - You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews.
 - Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.
 - You have strong verbal and written communication skills that support effective collaboration with our global engineering team.

Compensation and Benefits

The Bankruptcies & Hardships team (B&H) is a newly formed engineering group responsible for building Affirm’s core servicing platforms that support customers during critical financial moments. The team owns backend services and pipelines that orchestrate bankruptcy workflows and power compliant, reliable hardship support at scale.

Engineers on this team work on distributed systems, event-driven pipelines, and high-availability services with a strong emphasis on correctness, auditability, and operational excellence. You’ll collaborate closely with product, compliance, and other platform teams while helping shape foundational systems in a greenfield environment. This is a high-impact opportunity to apply deep backend expertise in Python and Kotlin to systems that matter to both customers and the business.

What You'll Do

 - With the support of your team, you will work on tasks that contribute to the team's projects and goals.
 - You will work collaboratively and proactively with your team and stakeholders, bringing them along for your work and helping to create visibility and dialog regarding the risks and trade-offs related to your work.
 - You will strike the right balance of speed and quality in your work, ensuring that we hit our business goals while protecting our systems from downtime.
 - On-Call Rotation - There would be an on-call rotation for this role as a requirement
 - You will contribute to a sense of community on your team by engaging in growth and development activities.

 What We Look For  

 - You have previous work or internship experience designing, developing and launching backend systems at scale and are experienced using one of Python or Kotlin.
 - You are familiar with the building blocks of distributed systems, and the technologies like AWS, MySQL and Kubernetes.
 - You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood,
  well tested and extensible code.
 - You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews.
 - Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.
 - You have strong verbal and written communication skills that support effective collaboration with our global engineering team.

Compensation and Benefits

Base Pay Grade - J

Equity Grade - Spain 2

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. 

Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).

POL base pay range per year: €55,000 - €85,000

Additional benefits include:

• Type of employment: Contract of Employment
• Flexible Spending Wallets for tech, food and lifestyle
• Away Days - wellness days to take off work and recharge
• Learning & Development programs
• Parental benefits
• Employee Resource & Community Groups

We are able to offer visa sponsorship for this role, but do require that someone is based in Spain for the role.

Location - Remote Spain

#LI-Remote

The Bankruptcies & Hardships team (B&H) is a newly formed engineering group responsible for building Affirm’s core servicing platforms that support customers during critical financial moments. The team owns backend services and pipelines that orchestrate bankruptcy workflows and power compliant, reliable hardship support at scale.

Engineers on this team work on distributed systems, event-driven pipelines, and high-availability services with a strong emphasis on correctness, auditability, and operational excellence. You’ll collaborate closely with product, compliance, and other platform teams while helping shape foundational systems in a greenfield environment. This is a high-impact opportunity to apply deep backend expertise in Python and Kotlin to systems that matter to both customers and the business.

What You'll Do

 - With the support of your team, you will work on tasks that contribute to the team's projects and goals.
 - You will work collaboratively and proactively with your team and stakeholders, bringing them along for your work and helping to create visibility and dialog regarding the risks and trade-offs related to your work.
 - You will strike the right balance of speed and quality in your work, ensuring that we hit our business goals while protecting our systems from downtime.
 - You will contribute to a sense of community on your team by engaging in growth and development activities.

 What We Look For  

 - You have previous work or internship experience designing, developing and launching backend systems at scale and are experienced using one of Python or Kotlin.
 - You are familiar with the building blocks of distributed systems, and the technologies like AWS, MySQL and Kubernetes.
 - You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood,
  well tested and extensible code.
 - You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews.
 - Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.
 - You have strong verbal and written communication skills that support effective collaboration with our global engineering team.

Compensation and Benefits

What You'll Do

• Develop features for embedded platforms such as Cameras, Access control, Alarms, Sensors in Linux embedded environment.
• Develop and maintain Go firmware for embedded devices with focus on performance and security.
• Extend Backend services implemented in Python and Go.
• Take part in projects from inception to deployment and customer support.
• Build prototypes, work on proof of concepts. 
• Collaborate closely with cross-functional teams to translate project requirements into well-designed and efficient code.
• Conduct thorough testing and debugging to ensure the delivery of high-quality and error-free software.
• Stay up-to-date with the latest Go language updates and best practices.
• Optimize software applications for better performance and efficiency taking advantage of Go.
• Actively participate in code reviews, providing constructive feedback to improve code quality and maintain coding standards.
• Troubleshoot and resolve issues related to software functionality, performance, and integration, ensuring a seamless user experience.

What You Bring

• Demonstrated experience developing with Go, including its standard library and common developer tools (debugging and profiling).
• Good experience in Python programming or other scripting languages.
• Experience in version control systems.
• Experience designing and implementing APIs using REST, gRPC, and Protobuf.
• Working knowledge of SQL or NoSQL databases, such as DynamoDB.
• Experience building service-oriented backends, preferably within the AWS cloud environment.
• Experience in Linux Embedded development.
• Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes.

Nice to Have

• Experience modifying drivers, working with HAL (Hardware Abstraction Layer) in AOSP, and customizing the AOSP build system (Soong/Blueprint).
• Hands-on experience in Android app development, debugging, and profiling; familiarity in Android Framework internals and AOSP API modifications.
• Experience in C or C++ programming.
• TCP/IP stack.
• Working knowledge in electronics - basic understanding of electrical circuits and usage of lab equipment, like multimeters.

Poland Employee Benefits

Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to:

• Healthcare programs that can be tailored to meet the personal health and financial well-being needs 
• Paid parental leave policy & fertility benefits
• Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time
• Professional development stipend
• Wellness/fitness benefits
• Healthy lunches provided daily
• Commuter benefits

Additional Information

• We do sponsor and take over sponsorship of employment visas for this role. If we make you an offer, we will make every reasonable effort to get you a visa.

Employee Pay Disclosure 

At Verkada, we want to attract and retain the best employees, and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate’s skills and experience, as well as market demands and internal parity. For this role, Verkada estimates a starting base salary will fall in the range of approximately 17 000 PLN - 60 000 PLN netto / month for B2B contracts and 14 000 PLN - 51 000 PLN brutto / month for UoP contracts. This estimate can vary based on the factors described above, so the actual starting base salary may be above or below this range. Base salary is also just one component of Verkada’s total rewards package. A Verkada employee may be eligible for additional forms of compensation, depending on their role, including sales incentives, discretionary bonuses, and/or equity in the company in the form of Restricted Stock Units (RSUs).

About the Role

We're focused on hiring embedded software engineers that understand not only the lower-level systems, but also how everything integrates together from the hardware to the UI. You’ll be working closely on one side with our hardware vendors and ME/EE people, and on the other side with server and UI engineers, industrial designers, and our operations team. If you’re looking for a fast-paced environment where your work is regularly shipping to customers and improving people’s safety, this is the place for you!

What You'll Do

• Develop features for embedded platforms such as Cameras, Access control, Alarms, Sensors in Linux embedded environment.
• Debug, solve problems, do code reviews 
• Define architecture, design of new features, functionalities.
• Take part in projects from inception to deployment and customer support.
• Build prototypes, work on proof of concepts. 
• Research on technologies we are interested in for new products 
• Work in cross-functional team

What You Bring

• +5 years of experience on Linux Embedded development
• +5 years of experience on C or C++ programming
• Experience with Yocto/bitbake
• Experience with Bash or other scripting language
• Experience with Git

Nice to Have

• Linux kernel modules programming
• Bootloaders (u-boot)
• Secure boot / security
• Go programing
• Python
• Experience in C++ programming
• Basic understanding of electrical circuits and usage of lab equipment (multimeters, etc)
• Experience with RTOS

Poland Employee Benefits

Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to:

• Healthcare programs that can be tailored to meet the personal health and financial well-being needs 
• Paid parental leave policy & fertility benefits
• Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time
• Professional development stipend
• Wellness/fitness benefits
• Healthy lunches provided daily
• Commuter benefits

Employee Pay Disclosure 

At Verkada, we want to attract and retain the best employees, and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate’s skills and experience, as well as market demands and internal parity. For this role, Verkada estimates a starting base salary will fall in the range of approximately 17 000 PLN - 60 000 PLN netto / month for B2B contracts and 14 000 PLN - 51 000 PLN brutto / month for UoP contracts. This estimate can vary based on the factors described above, so the actual starting base salary may be above or below this range. Base salary is also just one component of Verkada’s total rewards package. A Verkada employee may be eligible for additional forms of compensation, depending on their role, including sales incentives, discretionary bonuses, and/or equity in the company in the form of Restricted Stock Units (RSUs). 

About the Role

What You'll Do

• Define / create automated test system architecture for embedded systems like Access Control, Cameras, Sensors, Alarms etc.
• Take part in choosing technologies used in automated test system
• Together with a team build CI system, choose technology, set all things up, develop needed scripts etc.
• Together with the team define, develop automated test cases, create test strategy,
• Lead automated test case development in a cross-functional engineering team.
• Create test suites for smoke tests, performance tests, functional testing etc.
• Together with the team set up test management solutions, test results reporting (preferred highly automated options)

What You Bring

• +5 years of experience in testing hardware devices / embedded systems / software testing
• Experience in building CI systems for embedded platforms
• Experience in creating test strategy
• Experience in designing and developing automated test cases for hardware devices, ex. HIL
• Proficient in Python
• Linux user
• Knowledge of GitHub

Nice to Have

• Basic understanding of electronics
• Basic usage of lab equipment (multimeter, oscilloscope etc. )
• Wireless communication protocols (NFC, Bluetooth, UWB)
• BDD methodology (Gherkin syntax)
• C / C++ / Go programming
• Bash scripting
• Yocto
• TeamCity, GitHub Actions

Poland Employee Benefits

Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to:

• Healthcare programs that can be tailored to meet the personal health and financial well-being needs 
• Paid parental leave policy & fertility benefits
• Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time
• Professional development stipend
• Wellness/fitness benefits
• Healthy lunches provided daily
• Commuter benefits

Additional Information

• We do sponsor and take over sponsorship of employment visas for this role. If we make you an offer, we will make every reasonable effort to get you a visa.

Employee Pay Disclosure 

At Verkada, we want to attract and retain the best employees, and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate’s skills and experience, as well as market demands and internal parity. For this role, Verkada estimates a starting base salary will fall in the range of approximately 17 000 PLN - 60 000 PLN netto / month for B2B contracts and 14 000 PLN - 51 000 PLN brutto / month for UoP contracts. This estimate can vary based on the factors described above, so the actual starting base salary may be above or below this range. Base salary is also just one component of Verkada’s total rewards package. A Verkada employee may be eligible for additional forms of compensation, depending on their role, including sales incentives, discretionary bonuses, and/or equity in the company in the form of Restricted Stock Units (RSUs). 

About the Role: 

We are looking for a Senior Software Engineer to join our Observability team and help build the platform that gives Redpanda’s engineering organization deep visibility into the health, performance, and behavior of our systems. You will own and evolve our Grafana-based observability stack—spanning metrics, logs, and traces—and ensure that every team at Redpanda has the tooling and insights they need to ship reliable, high-performance software.

This is a high-impact role at the intersection of infrastructure and developer experience. You will work closely with platform and product engineering teams to design scalable observability solutions, drive adoption of best practices, and reduce mean time to detection and resolution across our cloud and on-premise deployments.

You Will:  

• Design, build, and maintain Redpanda’s observability platform using the Grafana stack (Grafana, Mimir, Loki, Tempo, Alloy/Agent)
• Develop and optimize dashboards, alerts, and SLO/SLI frameworks that give engineering teams actionable insights into system health
• Build and operate scalable metrics, logging, and distributed tracing pipelines that handle high-cardinality data across cloud and on-premise environments
• Instrument services and infrastructure with OpenTelemetry to ensure comprehensive, standards-based telemetry collection
• Partner with platform teams to improve incident detection, root-cause analysis, and mean time to resolution (MTTR)
• Evaluate and integrate new observability tools and techniques, driving continuous improvement of our monitoring capabilities
• Contribute to internal tooling and automation that streamlines observability onboarding for engineering teams
• Participate in on-call rotation to keep observability infrastructure running and incident free

You Have: 

• 5+ years of experience in software engineering with a focus on observability, monitoring, or infrastructure
• Deep hands-on experience with the Grafana stack (Grafana, Mimir/Prometheus, Loki, Tempo) in production environments
• Strong understanding of metrics, logging, and distributed tracing paradigms and their trade-offs at scale
• Experience with OpenTelemetry (OTel) for instrumentation and telemetry collection
• Proficiency in at least one systems-level language (Go strongly preferred) and scripting languages (Python, Bash)
• Experience running and operating infrastructure on Kubernetes in public cloud environments (AWS, GCP, or Azure)
• Comfortable working with a 100% distributed engineering team, collaborating on GitHub, etc.
• Experience with AI coding tools (e.g., Claude Code) and able to independently validate, refine, and productionize generated outputs
• Solid understanding of time-series databases, log aggregation systems, and query languages (PromQL, LogQL)

Nice to Have: 

• Strong understanding of Go
• Experience operating a SaaS platform with production observability at scale
• Familiarity with eBPF-based observability or continuous profiling tools (e.g., Pyroscope, Parca)
• Experience with infrastructure-as-code (Terraform, Pulumi) and GitOps workflows
• Operated and used streaming platforms (e.g., Kafka, Redpanda) either as a user or provider
• Experience building or managing multi-tenant observability platforms
• Contributions to open-source observability projects (Grafana, Prometheus, OpenTelemetry, etc.)

MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. 

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.

This role will be based remotely in Poland with business fluency in German language.

As an ideal candidate, you will have

• 5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role. 
• Minimum of 2 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
• Experience implementing scalable and highly available distributed systems in the cloud and on-prem
• Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
• Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership. 
• Ability to work with a cross functional sales team to formulate and execute an end to end deal cycle.
• A Bachelor’s degree or equivalent work experience
• Must have fluency in German language both verbal and written

You may also have

• Experience developing, deploying, or supporting applications with any of the major cloud providers 
• Experience working in a technical pre-sales capacity 
• Experience with database programming and data models 
• Experience in data engineering or AI/ML projects
• Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
• A MongoDB Certification
• A Cloud Provider Certification

What you'll do at MongoDB

In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:

• Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB.
• Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
• Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
• Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
• Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
• Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members 
• Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends

What you will learn

MongoDB Product Suite Mastery

• Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
• Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
• Relational Migrator: Learn to migrate from relational databases seamlessly

Market-Relevant Technologies

• Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
• Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes

Modern Architecture Design

• Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
• Cutting Edge RAG and AI Architectures: Help customers on their generative AI journey and working with industry leading partners in the space

Sales Techniques and Soft Skills

• Effective Communication: Master presentations, demonstrations, and whiteboarding
• Client Interaction: Develop strategies for discovery and objection handling

Industry Insights

Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID 426080

We are looking for a motivated Senior Data Engineer (ADB, Python) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply! 

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.

The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.

Project Tech Stack

Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs

What You’ll Do

• Define and enforce best practices and coding standards across the project
• Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
• Working both independently and in close collaboration with others in the team
• Communicating clear instructions to team members and helping manage the flow of day-to-day operations
• Communicating with the client regularly 
• Design, develop, and maintain robust and scalable Spark applications
• Write clean, maintainable, and efficient code following best practices and coding standards
• Optimize code for performance and scalability, ensuring efficient data handling
• Work closely with cross-functional teams to deliver high-quality software solutions
• Identify and resolve technical issues, ensuring the reliability and performance of applications
• Create and maintain comprehensive documentation for code, processes, and workflows

What You Bring

• 5+ years of hands-on experience in software development
• Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
• Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
• Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
• Proven expertise in data processing, analysis, and transformation workflows
• Strong analytical and problem-solving abilities with a detail-oriented mindset
• Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
• Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
• Solid understanding of microservices architecture and its implementation in scalable systems

Nice to have

• Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
• Familiarity with FastAPI
• Expertise in containerization and orchestration tools such as Docker and Kubernetes

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

Project Duration  

4-month engagement with the possibility of extension

Project Tech Stack

Databricks, Microsoft Azure, Medallion Architecture, Star Schema / Dimensional Modelling, Fact & Dimension tables, Databricks SQL, T-SQL, Python, Azure DevOps CI/CD, Git-based deployment pipelines

What You’ll Do  

• Rapidly review and understand the original Statement of Work, change requests, and any pre-existing contractual dependencies
• Audit the current state of the Databricks environment: what has been built, its quality, and its alignment to the agreed design
• Identify root causes for delivery gaps — distinguishing between client-side blockers, scope ambiguity, and engineering shortfalls
• Assess the medallion architecture (Bronze / Silver / Gold) and the ADF pipeline design against best practice and the client's requirements
• Review all outstanding work items (including dependent database views, gold views, ingestion, test framework, and UAT artefacts) and produce a clear, honest picture of the remaining effort
• Validate and, where necessary, correct or redesign the existing solution architecture to ensure it is fit for purpose, scalable, and maintainable
• Own the technical design for all remaining deliverables: ADF pipelines, Databricks SQL views, medallion layers, Unity Catalog, and CI/CD deployment via Azure DevOps
• Ensure architectural decisions are documented clearly and are explainable to both technical and non-technical client stakeholders
• Define the reconciliation and testing framework for view validation against SQL Server source systems
• Lead and execute the engineering delivery of all remaining scope, including: porting SQL Server views to Databricks SQL, building and validating ADF pipelines (batch ingestion), implementing gold-layer dimensional models and analytic views, deploying via Azure DevOps CI/CD pipelines (Test and Production environments)
• Produce high-quality, well-documented, maintainable code — not quick fixes
• Execute or oversee the reconciliation framework to prove view correctness against source systems
• Manage dependencies on the client (CDC enablement, SQL account provisioning, UAT availability) and escalate blockers promptly to the Engagement Lead
• Produce a realistic, structured delivery plan covering all remaining scope, with clear milestones, dependencies, and acceptance criteria
• Support the Engagement Lead in presenting the recovery plan to the client for sign-off
• Attend client-facing working sessions as the technical authority — you must be credible and confident communicating with both IT and commercial stakeholders
• Support the delivery management function with regular, accurate progress reporting

What You Bring 

• Expert-level proficiency in Azure Data Factory: pipeline design, linked services, integration runtimes (including Self-Hosted IR), incremental load patterns, and CDC
• Strong command of Azure Data Lake Storage Gen2, Unity Catalog, and Azure networking fundamentals relevant to data platform connectivity (VNets, Private Endpoints)
• Hands-on experience with Azure DevOps for CI/CD pipeline construction covering Databricks and ADF deployment across Dev / Test / Prod environments
• Familiarity with Microsoft Purview for data governance and lineage (desirable)
• Deep, hands-on Databricks experience — this is not a theoretical understanding; you must have delivered real solutions on the platform
• Expertise in Databricks SQL, Delta Lake, and the medallion architecture (Bronze / Silver / Gold)
• Ability to design and implement performant Databricks SQL views at scale, including complex join patterns, cross-database references, and performance validation
• Experience with Unity Catalog configuration and RBAC
• Familiarity with Databricks Lakeflow (desirable)
• Strong T-SQL / SQL Server background — you will be porting SQL Server views and need to understand source system data structures across OLTP and analytical databases
• Proven ability to design and implement fact/dimension tables, staging tables, and analytic models in a lakehouse context
• Experience building and running reconciliation frameworks to validate migrated data against source systems
• Solid Python skills for pipeline logic, test scripting, and utility development
• Demonstrated experience designing greenfield modern data platforms — you must be able to evidence solutions you have architected from scratch
• Demonstrated experience leading modernisation or transformation of brownfield data environments — migrating legacy reporting layers, rationalising fragmented data estates, or re-platforming to cloud-native architectures
• Ability to produce clear, concise architecture artefacts: solution design documents, data flow diagrams, entity models, and deployment architecture
• Sound understanding of data modelling — conceptual, logical, and physical — in the context of Lakehouse and dimensional design
• Proven ability to operate in a consulting or client-facing environment: credible, articulate, and capable of managing expectations under pressure
• Experience producing and owning delivery plans — not just contributing to them
• Comfortable working in a recovery or turnaround context, where rapid assessment and honest communication are more important than defending prior decisions
• Experience working under an engagement lead / principal and operating with a high degree of autonomy within that structure

English level

Upper-Intermediate

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

Project Duration  

4-month engagement with the possibility of extension

Project Tech Stack

Databricks, Microsoft Azure, Medallion Architecture, Star Schema / Dimensional Modelling, Fact & Dimension tables, Databricks SQL, T-SQL, Python, Azure DevOps CI/CD, Git-based deployment pipelines

What You’ll Do  

• Rapidly review and understand the original Statement of Work, change requests, and any pre-existing contractual dependencies
• Audit the current state of the Databricks environment: what has been built, its quality, and its alignment to the agreed design
• Identify root causes for delivery gaps — distinguishing between client-side blockers, scope ambiguity, and engineering shortfalls
• Assess the medallion architecture (Bronze / Silver / Gold) and the ADF pipeline design against best practice and the client's requirements
• Review all outstanding work items (including dependent database views, gold views, ingestion, test framework, and UAT artefacts) and produce a clear, honest picture of the remaining effort
• Validate and, where necessary, correct or redesign the existing solution architecture to ensure it is fit for purpose, scalable, and maintainable
• Own the technical design for all remaining deliverables: ADF pipelines, Databricks SQL views, medallion layers, Unity Catalog, and CI/CD deployment via Azure DevOps
• Ensure architectural decisions are documented clearly and are explainable to both technical and non-technical client stakeholders
• Define the reconciliation and testing framework for view validation against SQL Server source systems
• Lead and execute the engineering delivery of all remaining scope, including: porting SQL Server views to Databricks SQL, building and validating ADF pipelines (batch ingestion), implementing gold-layer dimensional models and analytic views, deploying via Azure DevOps CI/CD pipelines (Test and Production environments)
• Produce high-quality, well-documented, maintainable code — not quick fixes
• Execute or oversee the reconciliation framework to prove view correctness against source systems
• Manage dependencies on the client (CDC enablement, SQL account provisioning, UAT availability) and escalate blockers promptly to the Engagement Lead
• Produce a realistic, structured delivery plan covering all remaining scope, with clear milestones, dependencies, and acceptance criteria
• Support the Engagement Lead in presenting the recovery plan to the client for sign-off
• Attend client-facing working sessions as the technical authority — you must be credible and confident communicating with both IT and commercial stakeholders
• Support the delivery management function with regular, accurate progress reporting

What You Bring 

• Expert-level proficiency in Azure Data Factory: pipeline design, linked services, integration runtimes (including Self-Hosted IR), incremental load patterns, and CDC
• Strong command of Azure Data Lake Storage Gen2, Unity Catalog, and Azure networking fundamentals relevant to data platform connectivity (VNets, Private Endpoints)
• Hands-on experience with Azure DevOps for CI/CD pipeline construction covering Databricks and ADF deployment across Dev / Test / Prod environments
• Familiarity with Microsoft Purview for data governance and lineage (desirable)
• Deep, hands-on Databricks experience — this is not a theoretical understanding; you must have delivered real solutions on the platform
• Expertise in Databricks SQL, Delta Lake, and the medallion architecture (Bronze / Silver / Gold)
• Ability to design and implement performant Databricks SQL views at scale, including complex join patterns, cross-database references, and performance validation
• Experience with Unity Catalog configuration and RBAC
• Familiarity with Databricks Lakeflow (desirable)
• Strong T-SQL / SQL Server background — you will be porting SQL Server views and need to understand source system data structures across OLTP and analytical databases
• Proven ability to design and implement fact/dimension tables, staging tables, and analytic models in a lakehouse context
• Experience building and running reconciliation frameworks to validate migrated data against source systems
• Solid Python skills for pipeline logic, test scripting, and utility development
• Demonstrated experience designing greenfield modern data platforms — you must be able to evidence solutions you have architected from scratch
• Demonstrated experience leading modernisation or transformation of brownfield data environments — migrating legacy reporting layers, rationalising fragmented data estates, or re-platforming to cloud-native architectures
• Ability to produce clear, concise architecture artefacts: solution design documents, data flow diagrams, entity models, and deployment architecture
• Sound understanding of data modelling — conceptual, logical, and physical — in the context of Lakehouse and dimensional design
• Proven ability to operate in a consulting or client-facing environment: credible, articulate, and capable of managing expectations under pressure
• Experience producing and owning delivery plans — not just contributing to them
• Comfortable working in a recovery or turnaround context, where rapid assessment and honest communication are more important than defending prior decisions
• Experience working under an engagement lead / principal and operating with a high degree of autonomy within that structure

English level

Upper-Intermediate

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

The Comms Platform team is responsible for managing critical services that are essential to the success and sustainability of our organization. In simple terms, we handle transactional communication send-outs to our customers via email, SMS, and push notifications. These services demand attention to detail, proactive maintenance, and swift response times to ensure seamless operations.

Our recent high-priority initiatives include re-architecture/platform modernization, high availability and internationalization efforts; these are vital for our organization's growth and competitiveness in the market. These initiatives require dedicated expertise and resources to execute efficiently and effectively. Without adequate capacity, we risk delays, reduced quality, and missed opportunities to achieve key strategic objectives; but most important - our Customers deserve always on time and high quality comms!
 

What You'll Do

· You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery.
· You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs.
· You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them.
· You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts.
· You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
· You will help develop talent on your team by providing feedback and guidance, and leading by example.

What We Look For


· You have 5+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.
· You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes.
· You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others.
· You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely.
· Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.
· You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
· This position requires either equivalent practical experience or a Bachelor’s degree in a related field.

Compensation & Benefits

Base Pay Grade - N

Equity Grade - 4

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. 

Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).

POL base pay range per year: 301,000 zł  -  401,000 zł            

Additional benefits include:

• Type of employment: Contract of Employment
• Flexible Spending Wallets for tech, food and lifestyle
• Away Days - wellness days to take off work and recharge
• Learning & Development programs
• Parental benefits
• Employee Resource & Community Groups

This role is eligible for creative tax benefits, subject to applicable law and company policy

Location - Remote Poland

The majority of our roles can be located anywhere in Poland.

**This job description is not a contractual document, and is not intended to have binding force.**

#LI-Remote

We are looking for a motivated Senior Data Engineer (ADB, Python) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply! 

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.

The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.

Project Tech Stack

Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs

What You’ll Do

• Define and enforce best practices and coding standards across the project
• Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
• Working both independently and in close collaboration with others in the team
• Communicating clear instructions to team members and helping manage the flow of day-to-day operations
• Communicating with the client regularly 
• Design, develop, and maintain robust and scalable Spark applications
• Write clean, maintainable, and efficient code following best practices and coding standards
• Optimize code for performance and scalability, ensuring efficient data handling
• Work closely with cross-functional teams to deliver high-quality software solutions
• Identify and resolve technical issues, ensuring the reliability and performance of applications
• Create and maintain comprehensive documentation for code, processes, and workflows

What You Bring

• 5+ years of hands-on experience in software development
• Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
• Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
• Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
• Proven expertise in data processing, analysis, and transformation workflows
• Strong analytical and problem-solving abilities with a detail-oriented mindset
• Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
• Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
• Solid understanding of microservices architecture and its implementation in scalable systems

Nice to have

• Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
• Familiarity with FastAPI
• Expertise in containerization and orchestration tools such as Docker and Kubernetes

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Work with HelloFresh in Warsaw and its HelloTech organisation, HelloFresh’s global technology backbone with more than 1000 people, building the digital products that power our end-to-end food experience. From meal kits and ready-to-eat meals to specialty offerings like pet food and premium meat & seafood, HelloTech creates the platforms that bring tailored food solutions to millions of customers every month.

Our subscription-based, direct-to-consumer model relies on technology at every step, from customer-facing apps and personalization logic to pricing, forecasting, supply chain optimization, and initiatives that help reduce food waste. While our brands operate independently to serve distinct customer needs, they are united by shared platforms, data, and operational excellence built by HelloTech.

HelloTech works in autonomous, cross-functional alliances, each owning a specific product or domain end to end. By working with our Warsaw office, you will help shape scalable, data-driven products used across across our markets, working with a modern tech stack and international teams to continuously improve how people discover, order, and enjoy HelloFresh’s products, today and in the future.

About the role: What's in the Box

The service provider will contribute to the "Personalized Chef" initiative, a mission-critical domain focused on matching global customers with tailored culinary experiences. This project involves providing expert product management services to bridge the gap between complex machine learning models and actionable data assets. The Senior Product Manager II will serve as a key consultant within a cross-functional setup, accelerating the validation of intelligent models and ensuring the delivery of a flawless, productized data foundation that powers personalization, marketing, and operational excellence across 18+ business units.

What you’ll do: The Recipe

• Service Delivery for Data Foundations: Architect and deliver a strategy for Core Data Products, ensuring high-quality, connected data assets (customer profiles, subscription plans, order history) are ready for consumption by global stakeholders.
• Model Experimentation Management: Lead the iteration cycle for model testing, designing and executing complex A/B testing roadmaps to improve core metrics and reduce lead time to insights.
• AI-Enhanced Discovery: Integrate GenAI tools into the product discovery lifecycle to accelerate the synthesis of customer signals and the delivery of decision-ready technical specifications.
• Strategic Roadmap Execution: Translate high-ambiguity business requirements into long-term (15-month) technical roadmaps, operating with high autonomy to align data infrastructure with global commercial objectives.
• Cross-Functional Technical Coordination: Act as the primary point of contact between technical engineering squads and commercial business units to ensure data ecosystem connectivity.

What you’ll bring: The Ingredients

• Data & Execution Expertise: 5+ years of experience in product management with a specific focus on data products, platforms, or ML-driven environments.
• Analytical Proficiency: Demonstrated ability to perform independent data analysis using SQL/Python and define robust input/output KPIs.
• Strategic Prioritization: Strong critical thinking skills used to identify high-impact model or data adjustments and manage stakeholder expectations.
• Technical Communication: Proficiency in translating complex concepts (e.g., data lineage, model cold-starts) into clear narratives for non-technical stakeholders.
• AI Integration: Proven experience incorporating AI-assisted workflows into daily professional practice to enhance output quality and discovery speed.

Above all, we are looking for individuals who will make HelloFresh better. We believe there are many different ways of developing skills and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.

What we offer: The Toppings

• Global collaboration at scale: Collaborate with experienced engineers and product partners across HelloTech’s international teams, in a culture of active knowledge sharing.
• Technology with real-world impact: Build and operate modern systems at global scale, supporting 6+ millions of customers and complex supply chain operations.
• Technical/Product/Design leadership: Drive best practices and influence architecture/design, quality, and ways of working in an autonomous, product-led setup.
• End-to-end development/delivery: Drive decisions from problem definition to production, improving systems and enabling long-term scalability.
• Access to workspace at Warsaw Centre Point: The hub offers modern facilities including showers, breakout zones, outdoor space, cycle parking, and refreshments (coffee, soft drinks, and fruit).

Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you. We aim to review your profile and respond within 5 business days.

Work with HelloFresh in Warsaw and its HelloTech organisation, HelloFresh’s global technology backbone with more than 1000 people, building the digital products that power our end-to-end food experience. From meal kits and ready-to-eat meals to specialty offerings like pet food and premium meat & seafood, HelloTech creates the platforms that bring tailored food solutions to millions of customers every month. Our subscription-based, direct-to-consumer model relies on technology at every step, from customer-facing apps and personalization logic to pricing, forecasting, supply chain optimization, and initiatives that help reduce food waste. While our brands operate independently to serve distinct customer needs, they are united by shared platforms, data, and operational excellence built by HelloTech. HelloTech works in autonomous, cross-functional alliances, each owning a specific product or domain end to end. By working with our Warsaw office, you will help shape scalable, data-driven products used across our markets, working with a modern tech stack and international teams to continuously improve how people discover, order, and enjoy HelloFresh’s products, today and in the future.

About the role: What's in the Box

The service provider will contribute to the Cloud Security Team, supporting the maintenance of high security standards across HelloFresh’s global infrastructure. This engagement focuses on delivering infrastructure security solutions at scale through advanced automation and DevSecOps principles. As an external expert, the service provider will collaborate with HelloTech to harden cloud environments and services against evolving threats.

What you’ll do: The Recipe

• Enhance the security posture of cloud infrastructure and services by implementing hardening measures against unauthorized activities.

• Secure container environments and CI/CD pipelines, delivering automated guardrails for development workstreams.

• Develop and automate technical products and procedures to improve the overall infrastructure security posture.

• Design and operate scalable technical processes for cloud access provisioning based on least-privilege architecture.

• Provide technical guidance and knowledge sharing to peers regarding cloud security best practices.

• Remediate and validate complex security issues across multi-cloud environments.

What you’ll bring: The Ingredients

• A commitment to staying updated with the latest advancements and industry best practices in the cybersecurity field.

• Academic background in Computer Science, Engineering, or a related technical field.

• Proven professional experience within a security domain.

• Fluency in at least one programming or scripting language (e.g., Python, Go).

• Demonstrated experience with at least one major cloud provider (AWS, Azure, or GCP).

• Ability to deliver services independently and effectively within cross-functional project environments.

• Strong technical problem-solving skills and the ability to troubleshoot complex infrastructure issues.

Above all, we are looking for individuals who will make HelloFresh better. We believe there are many different ways of developing skills and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.

What we offer: The Toppings

• Global collaboration at scale: Collaborate with experienced engineers and product partners across HelloTech’s international teams, in a culture of active knowledge sharing.

• Technology with real-world impact: Build and operate modern systems at global scale, supporting 6+ millions of customers and complex supply chain operations.

• Technical/Product/Design leadership: Drive best practices and influence architecture/design, quality, and ways of working in an autonomous, product-led setup.

• End-to-end development/delivery: Drive decisions from problem definition to production, improving systems and enabling long-term scalability.

• Access to workspace at Warsaw Centre Point: The hub offers modern facilities including showers, breakout zones, outdoor space, cycle parking, and refreshments (coffee, soft drinks, and fruit).

Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you. We aim to review your profile and respond within 5 business days.

Work with HelloFresh in Warsaw and its HelloTech organisation, HelloFresh’s global technology backbone with more than 1000 people, building the digital products that power our end-to-end food experience. From meal kits and ready-to-eat meals to specialty offerings like pet food and premium meat & seafood, HelloTech creates the platforms that bring tailored food solutions to millions of customers every month. Our subscription-based, direct-to-consumer model relies on technology at every step, from customer-facing apps and personalization logic to pricing, forecasting, supply chain optimization, and initiatives that help reduce food waste. While our brands operate independently to serve distinct customer needs, they are united by shared platforms, data, and operational excellence built by HelloTech.

HelloTech works in autonomous, cross-functional alliances, each owning a specific product or domain end to end. By working with our Warsaw office, you will help shape scalable, data-driven products used across our markets, working with a modern tech stack and international teams to continuously improve how people discover, order, and enjoy HelloFresh’s products, today and in the future.

About the role: What's in the Box

The position is part of the Finance Tech squad, which has the mission to support and automate internal finance processes. Finance Tech squad acts as a global team to uniform processes connected to placing orders and make sure all financial transactions are processed correctly and timely. Backend Engineers assume development and operational responsibility for the HelloFresh platform that serves millions globally to deliver the best experience for our internal users.

At HelloTech, flexibility and cross-functional collaboration are core to how we work. While this role is aligned to a specific Alliance, strong candidates may also be considered for opportunities across different teams or projects.

What you’ll do: The Recipe

• Work on the architecture, design, development, deployment and operations of the microservices you will develop, using DevOps practices, pair programming and other cutting-edge methodologies. 
• Be an active, solution-oriented member of autonomous, cross-functional agile teams collaborating with Product Owners, Front-end Engineers and a number of different stakeholders involved in our projects.
• Develop an in-depth understanding of HelloFresh’s core product and architecture, and act as an ambassador for software solutions, offering support and guidance to colleagues.
• Drive the design and implementation of backend services to build integrations for core financial systems, such as Oracle and Workday, and unify order flows across global entities.
• Work with state-of-the-art technologies like Kotlin, Kafka, Docker, Kubernetes and more.

What you’ll bring: The Ingredients 

• Strong background in backend development, with a focus on microservices and distributed systems
• Proven ability to build event-driven architectures using messaging technologies such as Kafka, or AWS SQS/SNS
• Proficiency in JVM based languages (Kotlin/Java) is preferred; experience with Spring and willingness to learn Kotlin is also welcome.
• Practical knowledge of Docker, container orchestration tools like Kubernetes, and CI/CD implementation
• Solid foundation in testing practices, including both unit and end-to-end testing
• Deep understanding of relational databases
• Familiarity with AI tools, GitOps, and Python (e.g., Streamlit for monitoring dashboards) is a plus

Above all, we are looking for individuals who will make HelloFresh better. We believe there are many different ways of developing skills and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.

What we offer: The Toppings

• Global collaboration at scale: Collaborate with experienced engineers and product partners across HelloTech’s international teams, in a culture of active knowledge sharing.
• Technology with real-world impact: Build and operate modern systems at global scale, supporting 6+ millions of customers and complex supply chain operations.
• Technical/Product/Design leadership: Drive best practices and influence architecture/design, quality, and ways of working in an autonomous, product-led setup.
• End-to-end development/delivery: Drive decisions from problem definition to production, improving systems and enabling long-term scalability.
• Access to workspace at Warsaw Centre Point. The hub offers modern facilities including showers, breakout zones, outdoor space, cycle parking, and refreshments (coffee, soft drinks, and fruit).

Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you.  We aim to review your profile and respond within 5 business days.

#engineering

Why Cast AI?

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Global team, diverse perspectives

We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.

Unicorn momentum

In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.

Join us as we build the future of autonomous infrastructure.

About the role

Throughput. Latency. KV cache utilization.

Move those three numbers in the right direction, and two things happen: customers get faster, cheaper inference, and our margins improve. That's the entire thesis of this role. Every kernel you tune, every quantization scheme you ship, every scheduler tweak you land shows up directly in a customer's p99 and on our P&L.
This is a high-impact seat. It is also a high-autonomy seat as you'll be given the room to lead the technical direction of inference optimization at Kimchi, not execute someone else's roadmap.

The problem: running LLMs in production is a moving target. The "right" model and serving configuration for a workload depend on traffic shape, sequence-length distribution, batch dynamics, GPU SKU, memory bandwidth, quantization tolerance, and a dozen other variables that shift week to week. Most teams pick a model once, over-provision GPUs, and absorb the cost. Kimchi is the system that makes that decision automatically - continuously matching workloads to the most cost-efficient, best-performing LLM and serving configuration on a customer's infrastructure. We're building the optimization layer between the model and the hardware, and we need engineers who understand both sides deeply.

Stack

Python · vLLM · SGLang · TensorRT-LLM · PyTorch · CUDA-adjacent tooling · Kubernetes · gRPC · ClickHouse · PostgreSQL · GCP Pub/Sub · AWS / GCP / Azure · GitLab CI · ArgoCD · Prometheus · Grafana · Loki · Tempo.

Requirements:

• 5+ years building real ML systems, with a portfolio that shows depth in inference or training infrastructure (not just model training notebooks).
• Strong Python - production services, not scripts.
• Hands-on experience with at least one of vLLM, SGLang, or TensorRT-LLM, and a working mental model of why an inference engine performs the way it does on a given GPU.
• Fluency with quantization tradeoffs - you've measured quality regressions, not just compression ratios.
• Comfort with distributed systems: collective communication, sharding strategies, and the practical failure modes of multi-GPU and multi-node setups.
• A bias toward measurement. You instrument before you optimize, and you can tell the difference between a real win and a benchmark artifact.
• Self-direction. This role comes with a wide mandate; you should be excited by that, not unsettled by it.

Responsibilities:

• Push throughput. Continuous batching, speculative decoding, chunked prefill, kernel-level tuning across vLLM, SGLang, and TensorRT-LLM. Find the ceiling on each GPU SKU, then raise it.
• Cut latency. Attack TTFT and TPOT separately. Profile, identify the actual bottleneck (compute, memory bandwidth, scheduling, networking), and fix it - not the bottleneck you assumed.
• Get more out of the KV cache. Paged attention, prefix caching, eviction policies, cache reuse across requests, quantized KV. This is where a lot of the unrealized throughput lives, and it's an area you'll own.
• Quantize without regressing quality. INT8, INT4, FP8 across weights, activations, and KV. Empirical work: measure quality on real workloads, not just perplexity benchmarks.
• Shrink cold starts and memory footprint. Faster init, smarter weight loading, tighter memory accounting - the difference between a model that scales and one that doesn't.
• Scale across nodes. Distributed inference topologies, network-aware placement, checkpointing strategies that don't bottleneck on storage or interconnect.
• Set the technical direction. Decide what we benchmark, what we adopt, and what we build ourselves. Bring the team along with strong writeups and reproducible experiments.

What’s in it for you?

• Competitive salary (depending on the level of experience).
• Enjoy a flexible, remote-first global environment.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology
• Equity options.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self-improvement. 
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Annual hackathon to spark new ideas and strengthen team bonds.
• Team-building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.
• Extra days off to help maintain a healthy work-life balance.

Hiring process

• Screening call with Recruiter
• Hiring Manager interview
• Technical interview (system design)
• Live coding
• Culture Check interview with an executive

*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.

#LI-Remote

Work with HelloFresh in Warsaw and its HelloTech organisation, HelloFresh’s global technology backbone with more than 1000 people, building the digital products that power our end-to-end food experience. From meal kits and ready-to-eat meals to specialty offerings like pet food and premium meat & seafood, HelloTech creates the platforms that bring tailored food solutions to millions of customers every month. Our subscription-based, direct-to-consumer model relies on technology at every step, from customer-facing apps and personalization logic to pricing, forecasting, supply chain optimization, and initiatives that help reduce food waste. While our brands operate independently to serve distinct customer needs, they are united by shared platforms, data, and operational excellence built by HelloTech.

HelloTech works in autonomous, cross-functional alliances, each owning a specific product or domain end to end. By working with our Warsaw office, you will help shape scalable, data-driven products used across our markets, working with a modern tech stack and international teams to continuously improve how people discover, order, and enjoy HelloFresh’s products, today and in the future.

About the role: What's in the Box

We are a cross-functional team that integrates data engineers and data analysts. Our objective is to establish a dependable groundwork for data-driven decision-making. This role holds significance across the organization, tasked with constructing foundational data assets and metrics.

As a Senior Data Engineer in Core Data Products, the focus is on collaborating to build robust and highly reliable data products using cutting-edge technologies (Snowflake, Databricks, DBT, Spark, Kafka etc). This involves working on the continuous improvement of current data processing workflows; whilst engaging with data producers and consumers to align business requirements with the roadmap.

What you’ll do: The Recipe

• Build and maintain complex and scalable ETL pipelines
• Work closely with the data producers and software developers
• Collaborate closely with different stakeholders such as Marketing, Product Analytics, etc.
• Drive data quality and governance 
• Work together with our cross-organizational data engineering chapter to adapt the latest tools and techniques to the needs of HelloFresh.

What you’ll bring: The Ingredients 

• Solid hands-on experience working with AI coding agents (e.g., Claude Code, Cursor, Copilot) beyond casual experimentation. You use AI agents as thought partners to onboard on unfamiliar codebases and navigate new areas of the code with confidence. You have a practical sense of how the context you provide to AI tools - specifications, constraints, examples - shapes output quality, and a developing awareness of how agentic outputs can fail, with growing habits around verifying, testing, and setting boundaries on AI-generated work.
• Extensive experience of engineering fundamentals and able to design, implement and deliver maintainable and high-quality code
• Track record of delivering scalable, production-ready solutions 
• Mastery of SQL and query optimization techniques
• Strong problem-solving acumen 
• Proficiency in Python stack
• Exceptional technical background and a demonstrated clear impact on achieving business goals
• Strong written and verbal communication skills, ability to build effective communication structures in a fast-growing engineering organization
• Extensive experience with Apache Spark or equivalent

What we offer: The Toppings

• Global collaboration at scale: Collaborate with experienced engineers and product partners across HelloTech’s international teams, in a culture of active knowledge sharing.
• Technology with real-world impact: Build and operate modern systems at global scale, supporting 6+ millions of customers and complex supply chain operations.
• Technical/Product/Design leadership: Drive best practices and influence architecture/design, quality, and ways of working in an autonomous, product-led setup.
• End-to-end development/delivery: Drive decisions from problem definition to production, improving systems and enabling long-term scalability.
• Access to workspace at Warsaw Centre Point: The hub offers modern facilities including showers, breakout zones, outdoor space, cycle parking, and refreshments (coffee, soft drinks, and fruit).

Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you.  We aim to review your profile and respond within 5 business days.

#DATA

Work with HelloFresh in Warsaw and its HelloTech organisation, HelloFresh’s global technology backbone with more than 1000 people, building the digital products that power our end-to-end food experience. From meal kits and ready-to-eat meals to specialty offerings like pet food and premium meat & seafood, HelloTech creates the platforms that bring tailored food solutions to millions of customers every month.

Our subscription-based, direct-to-consumer model relies on technology at every step, from customer-facing apps and personalization logic to pricing, forecasting, supply chain optimization, and initiatives that help reduce food waste. While our brands operate independently to serve distinct customer needs, they are united by shared platforms, data, and operational excellence built by HelloTech.

HelloTech works in autonomous, cross-functional alliances, each owning a specific product or domain end to end. By working with our Warsaw office, you will help shape scalable, data-driven products used across our markets, working with a modern tech stack and international teams to continuously improve how people discover, order, and enjoy HelloFresh’s products, today and in the future.

About the role: What's in the Box

You will work with a cross-functional team responsible for how HelloFresh communicates with its customers at scale. The project involves supporting backend-driven, AI-powered systems that automate campaign execution end-to-end — from campaign configuration and content generation to validation, quality checks, and orchestration across channels such as email, SMS, and push.

Working with large-scale data and machine-learning–driven decisioning, you will support the design and operation of reliable, scalable services that reduce manual effort while improving speed, consistency, and customer relevance.

At HelloTech, flexibility and cross-functional collaboration are core to how we work. While this role is aligned to a specific Alliance, strong candidates may also be considered for opportunities across different teams or projects.

What you’ll do: The Recipe

• Collaborate within an autonomous, cross-functional agile team of 6–10 people, working closely with Product Owners, Frontend Engineers, Data Engineers, and Business Intelligence teams to deliver impactful solutions.
• Work on the architecture, design, development, deployment, and operations of our microservices, autonomously driving complex business challenges from conception to resolution.
• Build and maintain robust event-driven systems using state-of-the-art technologies.
• Leverage modern AI tools and DevOps practices to enhance productivity, strategically utilizing methodologies like vibe coding and pair programming.
• Support colleagues by sharing practical knowledge, trends, and technical insights, contributing to an environment where technical perspectives are valued.

What you’ll bring: The Ingredients

• Expertise in Python development, covering the full lifecycle from unit, integration, and functional testing to application tuning, profiling, and continuous integration.
• Solid background in event-driven microservices architecture, utilizing tools such as RabbitMQ or Kafka.
• Proficiency with data storage, including relational databases like PostgreSQL and object stores like AWS S3.
• Strong agile mindset, with a focus on lean thinking, quick iterations, and continuous delivery in a fast-paced environment.
• Ability to utilize monitoring solutions like Prometheus, Grafana, or Datadog to ensure system health.
• Experience integrating external systems, such as third-party vendors, APIs, marketing platforms, or messaging services, is a strong plus.
• Curiosity and drive, seeking to continuously develop yourself, learn from peers, and act as an ambassador for AI mentality within the team.
• Solid hands-on experience working with AI coding agents (e.g., Claude Code, Cursor, Copilot) beyond casual experimentation. You use AI agents as thought partners to onboard on unfamiliar codebases and navigate new areas of the code with confidence. You have a practical sense of how the context you provide to AI tools - specifications, constraints, examples - shapes output quality, and a developing awareness of how agentic outputs can fail, with growing habits around verifying, testing, and setting boundaries on AI-generated work.

Above all, we are looking for individuals who will make HelloFresh better. We believe there are many different ways of developing skills and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.

What we offer: The Toppings

• Global collaboration at scale: Collaborate with experienced engineers and product partners across HelloTech’s international teams, in a culture of active knowledge sharing.
• Technology with real-world impact: Build and operate modern systems at global scale, supporting 6+ millions of customers and complex supply chain operations.
• Technical/Product/Design leadership: Drive best practices and influence architecture/design, quality, and ways of working in an autonomous, product-led setup.
• End-to-end development/delivery: Drive decisions from problem definition to production, improving systems and enabling long-term scalability.
• Access to workspace at Warsaw Centre Point. The hub offers modern facilities including showers, breakout zones, outdoor space, cycle parking, and refreshments (coffee, soft drinks, and fruit).

Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you.  We aim to review your profile and respond within 5 business days.

#Engineering

Work with HelloFresh in Warsaw and its HelloTech organisation, HelloFresh’s global technology backbone with more than 1000 people, building the digital products that power our end-to-end food experience. From meal kits and ready-to-eat meals to specialty offerings like pet food and premium meat & seafood, HelloTech creates the platforms that bring tailored food solutions to millions of customers every month.

Our subscription-based, direct-to-consumer model relies on technology at every step, from customer-facing apps and personalization logic to pricing, forecasting, supply chain optimization, and initiatives that help reduce food waste. While our brands operate independently to serve distinct customer needs, they are united by shared platforms, data, and operational excellence built by HelloTech.

HelloTech works in autonomous, cross-functional alliances, each owning a specific product or domain end to end. By working with our Warsaw office, you will help shape scalable, data-driven products used across our markets, working with a modern tech stack and international teams to continuously improve how people discover, order, and enjoy HelloFresh’s products, today and in the future.

There is a requirement for a Senior Product Analyst with deep expertise in web and app analytics to support data-informed product and growth decisions across the organization. This engagement involves working with the analytics and reporting function, providing services globally across Berlin and New York City time zones.

The scope involves solving challenging business problems using digital product usage and customer data to create high-quality digital product experiences. Deliverables will drive user experience design, product development, and customer journey optimization. The provider will be responsible for professional-grade dashboarding and reporting for critical product and growth initiatives at the executive level.

What you’ll do: The Recipe

Partner with the Senior Product organization (Product, Software Engineering, UX leads) to support strategic priorities and evidence-based decision-making.
Collaborate with cross-functional teams to gather requirements and define project objectives while utilizing project management skills to plan and execute data-driven tasks.
Design, implement, and analyze A/B tests and experiments to measure product feature impact and optimize user experiences.
Develop automated reporting and dashboards that facilitate data access and enable self-service analytics across the organization.
Build sophisticated analytics solutions to define KPI trees, design measurement frameworks, and track product performance across app and web platforms to identify opportunities for improvement.
Leverage AI and automation tools to increase efficiency in data analysis, reporting, and insight generation workflows.
Communicate complex data and statistical concepts to technical and non-technical stakeholders to influence strategic decisions.

What you’ll bring: The Ingredients 

• A BS or equivalent in business, computer science, mathematics, economics, statistics, engineering, or a relevant quantitative field.
• Expert-level proficiency with Google Analytics 4 (GA4) / Snowplow, including advanced configuration and custom event tracking; experience with Mixpanel/Amplitude.
• Advanced BigQuery experience, including complex SQL queries, query optimization, data modeling, and large-scale datasets.
• Advanced Python programming skills for data analysis, automation, and building analytical tools (pandas, numpy, etc.).
• Strong Excel skills including advanced formulas, pivot tables, and data visualization.
• Demonstrated track record of leveraging AI tools (ChatGPT, Claude, Copilot, etc.) to increase productivity in analytical tasks.
• Experience with data visualization tools such as Tableau, Looker, or Data Studio.
• Deep understanding of product analytics methodology, including Cookie/Event tracking, user behavior analysis, and experimentation design.
• Proficiency with descriptive and inferential statistics.
• Experience with dbt, Airflow, or other modern data stack tools preferred.
• Previous experience providing services to fast-paced product-led or consumer-facing technology companies.
• A minimum of 5 years’ experience analyzing complex data in a business context, with at least 3 years focused on product or web/app analytics.
• Proven ability to work independently and drive projects from ambiguous problem statements to actionable recommendations.

Above all, we are looking for individuals who will make HelloFresh better. We believe there are many different ways of developing skills and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.

What we offer: The Toppings

• Global collaboration at scale: Collaborate with experienced engineers and product partners across HelloTech’s international teams, in a culture of active knowledge sharing.
• Technology with real-world impact: Build and operate modern systems at global scale, supporting 6+ millions of customers and complex supply chain operations.
• Technical/Product/Design leadership: Drive best practices and influence architecture/design, quality, and ways of working in an autonomous, product-led setup.
• End-to-end development/delivery: Drive decisions from problem definition to production, improving systems and enabling long-term scalability.
• Access to workspace at Warsaw Centre Point. The hub offers modern facilities including showers, breakout zones, outdoor space, cycle parking, and refreshments (coffee, soft drinks, and fruit).

Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you.  We aim to review your profile and respond within 5 business days.

Work with HelloFresh in Warsaw and its HelloTech organisation, HelloFresh’s global technology backbone with more than 1000 people, building the digital products that power our end-to-end food experience. From meal kits and ready-to-eat meals to specialty offerings like pet food and premium meat & seafood, HelloTech creates the platforms that bring tailored food solutions to millions of customers every month.

Our subscription-based, direct-to-consumer model relies on technology at every step, from customer-facing apps and personalization logic to pricing, forecasting, supply chain optimization, and initiatives that help reduce food waste. While our brands operate independently to serve distinct customer needs, they are united by shared platforms, data, and operational excellence built by HelloTech.

HelloTech works in autonomous, cross-functional alliances, each owning a specific product or domain end to end. By working with our Warsaw office, you will help shape scalable, data-driven products used across our markets, working with a modern tech stack and international teams to continuously improve how people discover, order, and enjoy HelloFresh’s products, today and in the future.

About the role: What's in the Box

As Senior Data Scientist in the Risk and Fraud Management squad, you will be responsible for building, deploying, and maintaining machine learning models that protect HelloFresh from fraud while enabling business growth through intelligent risk assessment. You will monitor model performance for anomalies and communicate insights with stakeholders to ensure optimal impact. Your work will be crucial to prevent payment and voucher fraud at checkout, and optimize the ship & collect process for recurring customers. Hence you will have a direct impact on the company's revenue protection and customer experience goals.

In this role, you will design and implement classification, regression, and uplift models which take into account various data sources, ranging from payment transactions, customer behavior, to fraud patterns and risk signals. Your models will power both real-time predictions at checkout and offline batch inference for subscription fulfillment decisions. Additionally, you will drive experiments to measure the business impact of your models and continuously improve their performance.

To succeed in this role you will be curious, a fast learner, and someone who relentlessly prioritises problem statements and tailor the solution accordingly. You will be comfortable suggesting multiple solutions based on your experience, and prioritizing tasks based on effort and likely impact. As a senior member of the Data Science team, you will jump into problem solving with others as challenges arise, and collaborate with team members.

What you’ll do: The Recipe

• Work on fraud detection and risk assessment models from data collection to production, collaborating closely with cross-functional teams (engineering, product, finance, operations)
• Build, deploy, and maintain machine learning models for:
• Ship & Collect: Offline batch inference for recurring payment risk assessment and subscription fulfillment decisions
• Voucher Fraud Prevention: Real-time inference at checkout to detect and prevent voucher abuse patterns
• Payment Fraud Prevention: Real-time inference at checkout to detect and block fraudulent payment attempts
• Monitor model performance, detect anomalies, and communicate insights and recommendations to technical and non-technical stakeholders
• Leverage classification, regression, and uplift methodologies to continuously improve fraud prevention and risk assessment solutions
• Proactively utilize Generative AI tools to accelerate development cycles, improve code quality, and drive innovative solutions to complex challenges

What you’ll bring: The Ingredients 

• Bachelors, Masters or PhD in statistics, physics, economics, mathematics, computer science, data science or similar
• 3+ years work experience as a (senior) data scientist, preferably in e-commerce, fintech, or fraud detection
• Strong experience with classification and regression models; familiarity with uplift modeling is a plus
• Fluency in Python (Numpy, Pandas, Scikit-learn, XGBoost, LightGBM) and experience with Spark/PySpark, Databricks
• Experience with AWS services (SageMaker), workflow orchestration (Airflow/Prefect), and feature stores (Tecton is a plus)
• In-depth knowledge of handling imbalanced datasets, optimizing precision/recall trade-offs, and evaluating models in production
• Experience with real-time model inference, A/B testing, and measuring business impact of ML models
• Familiarity with software development practices (Git, Docker, CI/CD pipelines)
• Strong communication and collaboration capabilities with technical and non-technical stakeholders

Above all, we are looking for individuals who will make HelloFresh better. We believe there are many different ways of developing skills and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.

What we offer: The Toppings

• Global collaboration at scale: Collaborate with experienced engineers and product partners across HelloTech’s international teams, in a culture of active knowledge sharing.
• Technology with real-world impact: Build and operate modern systems at global scale, supporting 6+ millions of customers and complex supply chain operations.
• Technical/Product/Design leadership: Drive best practices and influence architecture/design, quality, and ways of working in an autonomous, product-led setup.
• End-to-end development/delivery: Drive decisions from problem definition to production, improving systems and enabling long-term scalability.
• Access to workspace at Warsaw Centre Point. The hub offers modern facilities including showers, breakout zones, outdoor space, cycle parking, and refreshments (coffee, soft drinks, and fruit).

Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you. We aim to review your profile and respond within 5 business days.

#Data

Work with HelloFresh in Warsaw and its HelloTech organisation, HelloFresh’s global technology backbone with more than 1000 people, building the digital products that power our end-to-end food experience. From meal kits and ready-to-eat meals to specialty offerings like pet food and premium meat & seafood, HelloTech creates the platforms that bring tailored food solutions to millions of customers every month.

Our subscription-based, direct-to-consumer model relies on technology at every step, from customer-facing apps and personalization logic to pricing, forecasting, supply chain optimization, and initiatives that help reduce food waste. While our brands operate independently to serve distinct customer needs, they are united by shared platforms, data, and operational excellence built by HelloTech.

HelloTech works in autonomous, cross-functional alliances, each owning a specific product or domain end to end. By working with our Warsaw office, you will help shape scalable, data-driven products used across our markets, working with a modern tech stack and international teams to continuously improve how people discover, order, and enjoy HelloFresh’s products, today and in the future.

About the role: What's in the Box

The Global Data Products team is a cross-functional unit that integrates data engineers and data analysts. The objective is to establish a dependable groundwork for data-driven decision-making. This role holds significance across the organization, tasked with constructing foundational data assets and metrics.

As a Data Engineer, the service provider will collaborate to build robust and highly reliable data products using cutting-edge technologies (Snowflake, Databricks, DBT, Spark, Kafka, etc.). This involves driving continuous improvement to current data processing workflows while engaging with data producers and consumers to align business requirements with the roadmap. This role does not include people management responsibilities.

At HelloTech, flexibility and cross-functional collaboration are core to the delivery of services. While this role is aligned to a specific Alliance, strong candidates may also be considered for opportunities across different teams or projects.

What you’ll do: The Recipe

• Build and maintain complex and scalable ETL pipelines
• Work closely with the data producers and software developers
• Collaborate closely with different stakeholders such as Marketing, Product Analytics, etc.
• Drive data quality and governance 
• Collaborate with the cross-organizational data engineering chapter to adapt the latest tools and techniques to the needs of HelloFresh.
• Review as a technical expert the implementations of multiple teams, continuously improving technical deliverables.

What you’ll bring: The Ingredients 

• Agentic Engineering: Meaningful experience using AI coding agents (e.g., Claude Code, Cursor, Copilot) as part of your regular workflow. You use AI agents as thought partners to onboard on unfamiliar codebases and  navigate new areas of the code. You are developing a feel for how the way you frame tasks for AI tools affects the quality of results, and for where AI assistance needs closer supervision. You are curious about how and why AI tools fail and are building habits around verification.
• Strong understanding of engineering fundamentals and the ability to design, implement, and deliver maintainable and high-quality code.
• Strong problem-solving acumen.
• Proficiency in SQL and the Python stack.
• Strong written and verbal communication skills; the ability to build effective communication structures in a fast-growing engineering organization.
• Bonus points: Treating data quality issues as engineering problems to solve; experience debugging Spark pipelines; and demonstrated experience with data modeling techniques.
• A team player attitude and a passion for advocating for best engineering practices, such as CI/CD, TDD, and Design Patterns.

What we offer: The Toppings

• Global collaboration at scale: Collaborate with experienced engineers and product partners across HelloTech’s international teams, in a culture of active knowledge sharing.
• Technology with real-world impact: Build and operate modern systems at global scale, supporting 6+ millions of customers and complex supply chain operations.
• Technical/Product/Design leadership: Drive best practices and influence architecture/design, quality, and ways of working in an autonomous, product-led setup.
• End-to-end development/delivery: Drive decisions from problem definition to production, improving systems and enabling long-term scalability.
• Access to workspace at Warsaw Centre Point: The hub offers modern facilities including showers, breakout zones, outdoor space, cycle parking, and refreshments (coffee, soft drinks, and fruit).

Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you.  We aim to review your profile and respond within 5 business days.

#DATA

Work with HelloFresh in Warsaw and its HelloTech organisation, HelloFresh’s global technology backbone with more than 1000 people, building the digital products that power our end-to-end food experience. From meal kits and ready-to-eat meals to specialty offerings like pet food and premium meat & seafood, HelloTech creates the platforms that bring tailored food solutions to millions of customers every month.

Our subscription-based, direct-to-consumer model relies on technology at every step, from customer-facing apps and personalization logic to pricing, forecasting, supply chain optimization, and initiatives that help reduce food waste. While our brands operate independently to serve distinct customer needs, they are united by shared platforms, data, and operational excellence built by HelloTech.

HelloTech works in autonomous, cross-functional alliances, each owning a specific product or domain end to end. By working with our Warsaw office, you will help shape scalable, data-driven products used across our markets, working with a modern tech stack and international teams to continuously improve how people discover, order, and enjoy HelloFresh’s products, today and in the future.

About the role: What's in the Box

The Conversions Tech area enables meal brands to achieve ambitious growth targets through a seamless and high-performing conversion funnel. As a component of the Growth Alliance, this project drives growth for the HelloFresh group by powering marketing with advanced MarTech capabilities and product innovation. The focus is directed toward (re)acquisition, conversion optimization, and data-driven growth strategies.

You will work in a cross functional team in Conversions that builds and operates the backend systems powering customized user journeys across HelloFresh funnels. As a Senior Backend Engineer, you will design, implement and operate scalable and fault tolerant services that enable personalization, experimentation and decisioning at scale. These systems sit behind high traffic landing pages and funnels and must be fast, reliable and resilient.

You will work closely with frontend engineers, data scientists, machine learning engineers and product managers to bring personalization logic into production and ensure it performs well under real world traffic. Strong communication and problem solving skills are essential, as the role requires frequent collaboration across teams and clear ownership of complex technical problems. We are looking for engineers who can think in systems, operate autonomously and raise the bar for reliability and engineering quality.

What you’ll do: The Recipe

• Work in a cross-functional team typically comprising 6–10 people using a wide range of technologies and frameworks. Your team will be a place where your thoughts and opinions matter, and your contributions will have a tremendous impact on the team’s success.
• Execute the architecture, design, development, deployment, and operations of the microservices, using modern AI tools, DevOps practices, pair programming, and other cutting-edge methodologies.
• Be an active, solution-oriented contributor to autonomous, cross-functional agile teams collaborating with product owners, frontend engineers, data engineers, and business intelligence teams.
• Maintain an in-depth understanding of the core product and architecture, acting as a technical representative for software solutions, and offering support and technical guidance to colleagues.
• Work with state-of-the-art technologies like Kafka, RabbitMQ, Spark, Kubernetes, Istio, Helm, Terraform, and more.
• Autonomously drive complex business challenges from conception through to resolution and deployment, strategically leveraging modern AI tools, DevOps practices, and other cutting-edge methodologies.

What you’ll bring: The Ingredients

• Expertise in end-to-end backend development using Go, with Python experience considered a strong plus, including unit, integration and functional testing, application tuning, profiling and continuous integration
• Solid backend experience working with an event-driven microservices architecture using Kubernetes, RabbitMQ, Kafka, CQRS pattern, etc.
• Experience working with relational databases, like PostgreSQL, and object stores, like AWS S3
• Demonstrable experience with agile methodologies, with a strong focus on delivery, lean thinking, and quick iterations
• You seek to develop yourself and learn from your peers continuously
• You thrive in the opportunity to collaborate and mentor team members, while also sharing practical knowledge and trends
• Familiarity with monitoring and alerting tools like Prometheus, Grafana, or Datadog
• Demonstrable experience strategically utilizing modern AI tools and cutting-edge methodologies (eg, vibe coding, pair programming) and actively acting as an ambassador to bring this AI mentality into the team.
• Practical experience integrating third-party vendors, APIs, and external systems (eg, marketing platforms, messaging services, or similar B2B integrations).

Above all, we are looking for individuals who will make HelloFresh better. We believe there are many different ways of developing skills and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.

What we offer: The Toppings

• Global collaboration at scale: Collaborate with experienced engineers and product partners across HelloTech’s international teams, in a culture of active knowledge sharing.
• Technology with real-world impact: Build and operate modern systems at global scale, supporting 6+ millions of customers and complex supply chain operations.
• Technical/Product/Design leadership: Drive best practices and influence architecture/design, quality, and ways of working in an autonomous, product-led setup.
• End-to-end development/delivery: Drive decisions from problem definition to production, improving systems and enabling long-term scalability.
• Access to workspace at Warsaw Centre Point. The hub offers modern facilities including showers, breakout zones, outdoor space, cycle parking, and refreshments (coffee, soft drinks, and fruit).

Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you.  We aim to review your profile and respond within 5 business days.

#Engineering 

Work with HelloFresh in Warsaw and its HelloTech organisation, HelloFresh’s global technology backbone with more than 1000 people, building the digital products that power our end-to-end food experience. From meal kits and ready-to-eat meals to specialty offerings like pet food and premium meat & seafood, HelloTech creates the platforms that bring tailored food solutions to millions of customers every month.

Our subscription-based, direct-to-consumer model relies on technology at every step, from customer-facing apps and personalization logic to pricing, forecasting, supply chain optimization, and initiatives that help reduce food waste. While our brands operate independently to serve distinct customer needs, they are united by shared platforms, data, and operational excellence built by HelloTech.

HelloTech works in autonomous, cross-functional alliances, each owning a specific product or domain end to end. By working with our Warsaw office, you will help shape scalable, data-driven products used across our markets, working with a modern tech stack and international teams to continuously improve how people discover, order, and enjoy HelloFresh’s products, today and in the future.

About the role: What's in the Box

This service provision involves high-level consultancy for the AI Decisioning function. The objective is to provide technical expertise in optimizing the intelligence that transforms customer engagement strategies. The focus is on complex feature engineering and optimization, developing critical data features, and applying advanced analytical techniques to maximize the performance of the AI decisioning platform. These services provide predictive data and continuous optimization that allows an automated engine to determine the right message, for the right customer, at the right time, on the right channel. There is an opportunity to drive business outcomes through enhanced personalization and predictive analytics, while also providing expertise on how Generative AI can automate and scale content in an iterative process with marketing stakeholders.

What you’ll do: The Recipe

Modeling & Optimization Tasks

• Technical Guidance on Predictive Analysis: Provide expertise in the development and application of machine learning models to solve complex business problems, from churn prediction to large-scale personalization.
• Feature Development & Validation: Develop, prepare, and validate the critical data features that fuel models, ensuring they are robust and predictive.
• Model Performance Standards: Drive improvements in model quality and reliability by implementing industry best practices in validation, monitoring, and A/B testing.

Strategic Collaboration & Impact

• Insight Delivery: Partner with Product and Marketing functions, translating complex findings into actionable insights that guide strategy.
• Analytical Consultation: Proactively collaborate with stakeholders to frame business problems, translate needs into analytical solutions, and provide expertise on the use of Generative AI for content optimization.
• Methodological Perspective: Contribute to the success of the project by establishing analytical best practices and sharing a technical perspective to guide methodologies.

What you’ll bring: The Ingredients

Core Skillset:

• Data Science Background: A strong background in data science or a related quantitative field, with demonstrated success in applying machine learning techniques to solve business problems.
• Core Tech Stack Experience: High proficiency in working with Python (including libraries like pandas and scikit-learn) and SQL. Hands-on experience with core machine learning methodologies (e.g., regression, classification) and experimentation (e.g., A/B testing).
• Proactive Execution: A demonstrated ability to be accountable for deliverables from ideation to impact, with a focus on driving measurable outcomes and identifying potential issues before they become critical.

Preferred Experience:

• Domain & Tool Experience: Previous experience in the MarTech or CRM domains.
• Modern Platform Proficiency: Experience with data platforms like Databricks or the PySpark ecosystem, and general familiarity with cloud platforms (AWS, GCP, or Azure).
• Generative AI Knowledge: Familiarity with or a strong interest in leveraging Generative AI models (e.g., LLMs) for content automation, including prompt engineering.

What we offer: The Toppings

• Global collaboration at scale: Collaborate with experienced engineers and product partners across HelloTech’s international teams, in a culture of active knowledge sharing.
• Technology with real-world impact: Build and operate modern systems at global scale, supporting 6+ millions of customers and complex supply chain operations.
• Technical/Product/Design leadership: Drive best practices and influence architecture/design, quality, and ways of working in an autonomous, product-led setup.
• End-to-end development/delivery: Drive decisions from problem definition to production, improving systems and enabling long-term scalability.
• Access to workspace at Warsaw Centre Point. The hub offers modern facilities including showers, breakout zones, outdoor space, cycle parking, and refreshments (coffee, soft drinks, and fruit).

Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you.  We aim to review your profile and respond within 5 business days.

#Data

Work with HelloFresh in Warsaw and its HelloTech organisation, HelloFresh’s global technology backbone with more than 1000 people, building the digital products that power our end-to-end food experience. From meal kits and ready-to-eat meals to specialty offerings like pet food and premium meat & seafood, HelloTech creates the platforms that bring tailored food solutions to millions of customers every month.

Our subscription-based, direct-to-consumer model relies on technology at every step, from customer-facing apps and personalization logic to pricing, forecasting, supply chain optimization, and initiatives that help reduce food waste. While our brands operate independently to serve distinct customer needs, they are united by shared platforms, data, and operational excellence built by HelloTech.

HelloTech works in autonomous, cross-functional alliances, each owning a specific product or domain end to end. By working with our Warsaw office, you will help shape scalable, data-driven products used across our markets, working with a modern tech stack and international teams to continuously improve how people discover, order, and enjoy HelloFresh’s products, today and in the future.

About the role: What's in the Box

Are you ready to drive a huge business impact? As a Senior Data Scientist for AdTech Search Optimization, you will be responsible for maximizing the performance of the Search channels. This work will be crucial to increase return on investment for the marketing budget. Hence, the services provided will have a direct impact on the company’s goals to drive and increase marketing efficiency.

In this capacity, the service provider will design and implement statistical and machine learning models which take into account various data sources, from internal conversion data to external ads platform data.

To succeed in this project, the provider will be a curious, fast learner, who relentlessly prioritizes problem statements and tailors solutions accordingly. Success involves suggesting multiple solutions based on professional experience and prioritizing tasks based on effort and likely impact.

What you’ll do: The Recipe

• Collaborate as an integral part of an amazing and fun team consisting of highly skilled data scientists and engineers.
• Collaborate closely within cross-functional teams (engineering, product, marketing) to translate business objectives into concrete, data-driven strategies.
• Take responsibility for the delivery and execution of scientific optimization models and algorithms, from data collection to operationalization, and closely align them with non-technical stakeholders.
• Experiment and explore opportunities to constantly improve and refine technical approaches.
• Leverage statistical analysis and machine learning algorithms in development and production to enhance incrementality measurement solutions.
• Think out of the box to come up with new ways to improve the data products delivered to stakeholders.

What you’ll bring: The Ingredients

• Proven track record of scientific work in your Bachelors, Masters or PhD in statistics, physics, economics, mathematics, data science or similar.
• Long-term (3+ yrs) work experience as a (senior) data scientist, preferably in an e-commerce environment 
• Strong marketing domain knowledge as well as experience with in the Google Search ecosystem and attribution models are a huge plus
• In-depth knowledge how to interpret experiment results, how to handle statistical uncertainties and how to apply statistical models such as regressors and classifiers
• Experience with forecasting algorithms, portfolio optimization approaches, as well as Vector Autoregression
• Fluency and long-term experience in Python, including high familiarity with its scientific stack such as Numpy, Pandas, Scikit-learn, Matplotlib, etc. (experience in Databricks is a plus)
• Ability to retrieve (using SQL), manipulate and analyse large, heterogeneous datasets and build data pipelines
• Familiarity with software development practices and tools (Git, Docker, AWS)
• You love to learn, are a critical thinker and creative problem solver who strives for excellence
• You are a team player who loves to collaborate and work with stakeholders from different backgrounds in an international environment
• Exceptional communication and collaboration capabilities.

What we offer: The Toppings

• Global collaboration at scale: Collaborate with experienced engineers and product partners across HelloTech’s international teams, in a culture of active knowledge sharing.
• Technology with real-world impact: Build and operate modern systems at global scale, supporting 6+ millions of customers and complex supply chain operations.
• Technical/Product/Design leadership: Drive best practices and influence architecture/design, quality, and ways of working in an autonomous, product-led setup.
• End-to-end development/delivery: Drive decisions from problem definition to production, improving systems and enabling long-term scalability.
• Access to workspace at Warsaw Centre Point. The hub offers modern facilities including showers, breakout zones, outdoor space, cycle parking, and refreshments (coffee, soft drinks, and fruit).

Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you.  We aim to review your profile and respond within 5 business days.

#Data

About the Role

As a Software Developer in Test, you will join one of several high-impact teams of QA professionals. You will work on a variety of Veeam products and features, helping us shape the quality of solutions used by companies around the world. During the hiring process, we’ll match your interests and experience with the team and project where you can make the greatest impact.

What You'll Do

• Develop and maintain automated tests for Veeam products
• Collaborate across the software development team
• Enhance frameworks and modules for automated testing
• Contribute to test design and implementation
• Analyze product source code
• Support internal automated testing systems
• Build and manage testing infrastructure
• Analyze test results, and maintain defects database

Technologies You'll Work With

• Python, PowerShell, C# (.Net 6, .Net 8)
• GitLab, Azure Devops, TeamCity
• TestRail

What You'll Bring

• From at least 1 year of experience (junior level) up to 3+ years (middle/senior level) in commercial product testing, test automation, or software development; OR practical hands-on coding experience, without a need for testing expertise but with a strong interest in the testing domain (for junior candidates)
• Programming experience in Python
• Experience with Windows and/or Linux environments
• A strong desire to write high-quality code and develop your skills in programming
• An open mind, common sense, clear logical thinking, and a lively, analytical mindset - you enjoy analyzing and understanding how things work
• English proficiency for daily communication within international teams

Bonus Skills

• C#/.NET Framework and Test Automation: LINQ, NUnit, Selenium WebDriver, testing RESTful APIs using HttpClient
• Experience with PowerShell 
• Experience with Git
• Experience with Jenkins, TeamCity or Azure DevOps
• Cloud platforms experience (AWS, Azure, GCP)

What You’ll Get

• 26 paid days off annually, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Paid parental, maternity, and paternity leave
• Fully covered family medical plan, dental, rehab, and vaccinations
• Life, critical illness, and disability insurance
• Employer pension contribution via PPK
• Monthly Edenred allowance of 450 PLN for meals
• MultiSport card fully covered by Veeam, giving access to sports facilities nationwide
• Up to 12 free therapy sessions annually, plus legal and financial advice
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning

Please note: If the applicant is permanently present outside of Poland, Veeam reserves the right to refuse to consider the application for a job. Remote job is only possible in case the employee is located in Poland.

#LI-AR1

#Hybrid

We are looking for a Senior/Lead ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client  

The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.

What You’ll Do

• Design and implement end-to-end document intelligence pipelines on AWS
• Develop and optimize ML models for document classification, segmentation, and field extraction
• Build scalable data processing systems handling PDFs up to 2000 pages
• Collaborate with subject matter experts to create and refine requirements for extraction
• Own features from research through production deployment and monitoring
• Establish evaluation frameworks and quality metrics for extraction accuracy

What You Bring

• Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
• Experience with AWS tools for ML Engineering and ML deployment (Sagemaker, Lambda, Cloudformation/CDK, Step Functions)
• Advanced knowledge of SQL and Data Modeling
• Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
• Experience in experiment design (power analysis and hypothesis testing)
• Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
• Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
• Experience owning a feature from concept to production, including proposal, discussion, and execution

Nice to have 

• Experience with document processing tools (AWS Textract, Azure Document Intelligence, or similar OCR/layout detection systems)
• Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
• Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
• Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)

English level 

Upper-intermediate 

Legal & Hiring Information 

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel  

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

We are looking for a Senior/Lead ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client  

The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.

What You’ll Do

• Design and implement end-to-end document intelligence pipelines on AWS
• Develop and optimize ML models for document classification, segmentation, and field extraction
• Build scalable data processing systems handling PDFs up to 2000 pages
• Collaborate with subject matter experts to create and refine requirements for extraction
• Own features from research through production deployment and monitoring
• Establish evaluation frameworks and quality metrics for extraction accuracy

What You Bring

• Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
• Experience with AWS tools for ML Engineering and ML deployment (Sagemaker, Lambda, Cloudformation/CDK, Step Functions)
• Advanced knowledge of SQL and Data Modeling
• Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
• Experience in experiment design (power analysis and hypothesis testing)
• Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
• Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
• Experience owning a feature from concept to production, including proposal, discussion, and execution

Nice to have 

• Experience with document processing tools (AWS Textract, Azure Document Intelligence, or similar OCR/layout detection systems)
• Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
• Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
• Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)

English level 

Upper-intermediate 

Legal & Hiring Information 

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel  

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

We are looking for a Senior/Lead ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client  

The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.

What You’ll Do

• Design and implement end-to-end document intelligence pipelines on AWS
• Develop and optimize ML models for document classification, segmentation, and field extraction
• Build scalable data processing systems handling PDFs up to 2000 pages
• Collaborate with subject matter experts to create and refine requirements for extraction
• Own features from research through production deployment and monitoring
• Establish evaluation frameworks and quality metrics for extraction accuracy

What You Bring

• Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
• Experience with AWS tools for ML Engineering and ML deployment (Sagemaker, Lambda, Cloudformation/CDK, Step Functions)
• Advanced knowledge of SQL and Data Modeling
• Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
• Experience in experiment design (power analysis and hypothesis testing)
• Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
• Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
• Experience owning a feature from concept to production, including proposal, discussion, and execution

Nice to have 

• Experience with document processing tools (AWS Textract, Azure Document Intelligence, or similar OCR/layout detection systems)
• Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
• Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
• Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)

English level 

Upper-intermediate 

Legal & Hiring Information 

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel  

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

We are looking for a Senior ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client 

The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.

What You’ll Do

• Design and implement end-to-end document intelligence pipelines on AWS
• Develop and optimize ML models for document classification,segmentation, and field extraction
• Build scalable data processing systems handling PDFs up to 2000 pages
• Collaborate with subject matter experts to create and refine requirements for extraction
• Own features from research through production deployment and monitoring
• Establish evaluation frameworks and quality metrics for extraction accuracy

What You Bring

• Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
• Experience with AWS tools for ML Engineering and ML deployment(Sag
• emaker, Lambda, Cloudformation/CDK, Step Functions)
• Advanced knowledge of SQL and Data Modeling
• Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
• Experience in experiment design (power analysis and hypothesis testing)
• Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
• Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
• Experience owning a feature from concept to production, including proposal, discussion, and execution

Nice to have 

• Experience with document processing tools (AWS Textract, Azure, Document Intelligence, or similar OCR/layout detection systems)
• Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
• Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
• Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)

English level 

Upper-intermediate 

Legal & Hiring Information 

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel  

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

We are looking for a Senior ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client 

The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.

What You’ll Do

• Design and implement end-to-end document intelligence pipelines on AWS
• Develop and optimize ML models for document classification,segmentation, and field extraction
• Build scalable data processing systems handling PDFs up to 2000 pages
• Collaborate with subject matter experts to create and refine requirements for extraction
• Own features from research through production deployment and monitoring
• Establish evaluation frameworks and quality metrics for extraction accuracy

What You Bring

• Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
• Experience with AWS tools for ML Engineering and ML deployment(Sag
• emaker, Lambda, Cloudformation/CDK, Step Functions)
• Advanced knowledge of SQL and Data Modeling
• Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
• Experience in experiment design (power analysis and hypothesis testing)
• Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
• Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
• Experience owning a feature from concept to production, including proposal, discussion, and execution

Nice to have 

• Experience with document processing tools (AWS Textract, Azure, Document Intelligence, or similar OCR/layout detection systems)
• Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
• Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
• Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)

English level 

Upper-intermediate 

Legal & Hiring Information 

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel  

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

We are looking for a Senior ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client 

The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.

What You’ll Do

• Design and implement end-to-end document intelligence pipelines on AWS
• Develop and optimize ML models for document classification,segmentation, and field extraction
• Build scalable data processing systems handling PDFs up to 2000 pages
• Collaborate with subject matter experts to create and refine requirements for extraction
• Own features from research through production deployment and monitoring
• Establish evaluation frameworks and quality metrics for extraction accuracy

What You Bring

• Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
• Experience with AWS tools for ML Engineering and ML deployment(Sag
• emaker, Lambda, Cloudformation/CDK, Step Functions)
• Advanced knowledge of SQL and Data Modeling
• Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
• Experience in experiment design (power analysis and hypothesis testing)
• Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
• Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
• Experience owning a feature from concept to production, including proposal, discussion, and execution

Nice to have 

• Experience with document processing tools (AWS Textract, Azure, Document Intelligence, or similar OCR/layout detection systems)
• Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
• Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
• Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)

English level 

Upper-intermediate 

Legal & Hiring Information 

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel  

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

We are looking for a Senior ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client 

The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.

What You’ll Do

• Design and implement end-to-end document intelligence pipelines on AWS
• Develop and optimize ML models for document classification,segmentation, and field extraction
• Build scalable data processing systems handling PDFs up to 2000 pages
• Collaborate with subject matter experts to create and refine requirements for extraction
• Own features from research through production deployment and monitoring
• Establish evaluation frameworks and quality metrics for extraction accuracy

What You Bring

• Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
• Experience with AWS tools for ML Engineering and ML deployment(Sag
• emaker, Lambda, Cloudformation/CDK, Step Functions)
• Advanced knowledge of SQL and Data Modeling
• Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
• Experience in experiment design (power analysis and hypothesis testing)
• Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
• Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
• Experience owning a feature from concept to production, including proposal, discussion, and execution

Nice to have 

• Experience with document processing tools (AWS Textract, Azure, Document Intelligence, or similar OCR/layout detection systems)
• Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
• Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
• Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)

English level 

Upper-intermediate 

Legal & Hiring Information 

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel  

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

About the Role:
We’re looking for a Backend Engineer to contribute to a next-generation security initiative. You’ll be part of a small, highly technical team working on novel approaches to secure systems - with a focus on cryptography, automation, and AI-powered analysis. You’ll work closely with senior engineers and contribute hands-on to the codebase across the stack. This role involves hands-on development, learning opportunities, and collaboration across engineering, product, and design.

Day to Day:

• Contribute to the design, development, and delivery of features across the product
• Write clean, maintainable code for back-end systems deployed in AWS or GCP
• Collaborate with AI and cryptography specialists
• Work with the product manager to understand requirements and help the team plan architecture, data flows, API specs, and testing strategies
• Follow established engineering practices and participate in team discussions around process and quality
• Participate in customer-driven development and iterate based on feedback
• Write automated tests for load, performance, and error handling

What you bring to the table:

• 3+ years of hands-on software engineering experience for backend development
• Excellent TypeScript and Node.js coding experience
• AWS experience in containers (EKS, ECS) and serverless systems
• Relational, key/value, and graph datastore experience with schema management
• API design, data modeling, secure service development, database systems
• Has a focus on quality code, error handling, and high availability
• A thoughtful, pragmatic approach to solving technical problems in a fast-paced environment
• At least upper-intermediate level of spoken and written English

Extra Credit:

• Versed in Python coding and environments
• Experience with GCP systems
• Experience with applied cryptography, especially key management, TLS, or post-quantum algorithms
• Familiarity with agent-based architectures or systems that scan and orchestrate actions across distributed environments
• Knowledge of AI/ML systems, particularly LLM integration or agent-style reasoning patterns
• Experience managing LLM agents to increase both speed and quality of code generation and tests
• Exposure to security tools, vulnerability detection platforms, or compliance automation
• Prior experience working on developer-facing or infrastructure-heavy products

About the Role:
We’re looking for a Backend Engineer to contribute to a next-generation security initiative. You’ll be part of a small, highly technical team working on novel approaches to secure systems - with a focus on cryptography, automation, and AI-powered analysis. You’ll work closely with senior engineers and contribute hands-on to the codebase across the stack. This role involves hands-on development, learning opportunities, and collaboration across engineering, product, and design.

Day to Day:

• Contribute to the design, development, and delivery of features across the product
• Write clean, maintainable code for back-end systems deployed in AWS or GCP
• Collaborate with AI and cryptography specialists
• Work with the product manager to understand requirements and help the team plan architecture, data flows, API specs, and testing strategies
• Follow established engineering practices and participate in team discussions around process and quality
• Participate in customer-driven development and iterate based on feedback
• Write automated tests for load, performance, and error handling

What you bring to the table:

• 3+ years of hands-on software engineering experience for backend development
• Excellent TypeScript and Node.js coding experience
• AWS experience in containers (EKS, ECS) and serverless systems
• Relational, key/value, and graph datastore experience with schema management
• API design, data modeling, secure service development, database systems
• Has a focus on quality code, error handling, and high availability
• A thoughtful, pragmatic approach to solving technical problems in a fast-paced environment
• At least upper-intermediate level of spoken and written English

Extra Credit:

• Versed in Python coding and environments
• Experience with GCP systems
• Experience with applied cryptography, especially key management, TLS, or post-quantum algorithms
• Familiarity with agent-based architectures or systems that scan and orchestrate actions across distributed environments
• Knowledge of AI/ML systems, particularly LLM integration or agent-style reasoning patterns
• Experience managing LLM agents to increase both speed and quality of code generation and tests
• Exposure to security tools, vulnerability detection platforms, or compliance automation
• Prior experience working on developer-facing or infrastructure-heavy products

About the Role:
We’re looking for a Backend Engineer to contribute to a next-generation security initiative. You’ll be part of a small, highly technical team working on novel approaches to secure systems - with a focus on cryptography, automation, and AI-powered analysis. You’ll work closely with senior engineers and contribute hands-on to the codebase across the stack. This role involves hands-on development, learning opportunities, and collaboration across engineering, product, and design.

Day to Day:

• Contribute to the design, development, and delivery of features across the product
• Write clean, maintainable code for back-end systems deployed in AWS or GCP
• Collaborate with AI and cryptography specialists
• Work with the product manager to understand requirements and help the team plan architecture, data flows, API specs, and testing strategies
• Follow established engineering practices and participate in team discussions around process and quality
• Participate in customer-driven development and iterate based on feedback
• Write automated tests for load, performance, and error handling

What you bring to the table:

• 3+ years of hands-on software engineering experience for backend development
• Excellent TypeScript and Node.js coding experience
• AWS experience in containers (EKS, ECS) and serverless systems
• Relational, key/value, and graph datastore experience with schema management
• API design, data modeling, secure service development, database systems
• Has a focus on quality code, error handling, and high availability
• A thoughtful, pragmatic approach to solving technical problems in a fast-paced environment
• At least upper-intermediate level of spoken and written English

Extra Credit:

• Versed in Python coding and environments
• Experience with GCP systems
• Experience with applied cryptography, especially key management, TLS, or post-quantum algorithms
• Familiarity with agent-based architectures or systems that scan and orchestrate actions across distributed environments
• Knowledge of AI/ML systems, particularly LLM integration or agent-style reasoning patterns
• Experience managing LLM agents to increase both speed and quality of code generation and tests
• Exposure to security tools, vulnerability detection platforms, or compliance automation
• Prior experience working on developer-facing or infrastructure-heavy products

About the Role:
We’re looking for a Backend Engineer to contribute to a next-generation security initiative. You’ll be part of a small, highly technical team working on novel approaches to secure systems - with a focus on cryptography, automation, and AI-powered analysis. You’ll work closely with senior engineers and contribute hands-on to the codebase across the stack. This role involves hands-on development, learning opportunities, and collaboration across engineering, product, and design.

Day to Day:

• Contribute to the design, development, and delivery of features across the product
• Write clean, maintainable code for back-end systems deployed in AWS or GCP
• Collaborate with AI and cryptography specialists
• Work with the product manager to understand requirements and help the team plan architecture, data flows, API specs, and testing strategies
• Follow established engineering practices and participate in team discussions around process and quality
• Participate in customer-driven development and iterate based on feedback
• Write automated tests for load, performance, and error handling

What you bring to the table:

• 3+ years of hands-on software engineering experience for backend development
• Excellent TypeScript and Node.js coding experience
• AWS experience in containers (EKS, ECS) and serverless systems
• Relational, key/value, and graph datastore experience with schema management
• API design, data modeling, secure service development, database systems
• Has a focus on quality code, error handling, and high availability
• A thoughtful, pragmatic approach to solving technical problems in a fast-paced environment
• At least upper-intermediate level of spoken and written English

Extra Credit:

• Versed in Python coding and environments
• Experience with GCP systems
• Experience with applied cryptography, especially key management, TLS, or post-quantum algorithms
• Familiarity with agent-based architectures or systems that scan and orchestrate actions across distributed environments
• Knowledge of AI/ML systems, particularly LLM integration or agent-style reasoning patterns
• Experience managing LLM agents to increase both speed and quality of code generation and tests
• Exposure to security tools, vulnerability detection platforms, or compliance automation
• Prior experience working on developer-facing or infrastructure-heavy products

About the Role:
We’re looking for a Backend Engineer to contribute to a next-generation security initiative. You’ll be part of a small, highly technical team working on novel approaches to secure systems - with a focus on cryptography, automation, and AI-powered analysis. You’ll work closely with senior engineers and contribute hands-on to the codebase across the stack. This role involves hands-on development, learning opportunities, and collaboration across engineering, product, and design.

Day to Day:

• Contribute to the design, development, and delivery of features across the product
• Write clean, maintainable code for back-end systems deployed in AWS or GCP
• Collaborate with AI and cryptography specialists
• Work with the product manager to understand requirements and help the team plan architecture, data flows, API specs, and testing strategies
• Follow established engineering practices and participate in team discussions around process and quality
• Participate in customer-driven development and iterate based on feedback
• Write automated tests for load, performance, and error handling

What you bring to the table:

• 3+ years of hands-on software engineering experience for backend development
• Excellent TypeScript and Node.js coding experience
• AWS experience in containers (EKS, ECS) and serverless systems
• Relational, key/value, and graph datastore experience with schema management
• API design, data modeling, secure service development, database systems
• Has a focus on quality code, error handling, and high availability
• A thoughtful, pragmatic approach to solving technical problems in a fast-paced environment
• At least upper-intermediate level of spoken and written English

Extra Credit:

• Versed in Python coding and environments
• Experience with GCP systems
• Experience with applied cryptography, especially key management, TLS, or post-quantum algorithms
• Familiarity with agent-based architectures or systems that scan and orchestrate actions across distributed environments
• Knowledge of AI/ML systems, particularly LLM integration or agent-style reasoning patterns
• Experience managing LLM agents to increase both speed and quality of code generation and tests
• Exposure to security tools, vulnerability detection platforms, or compliance automation
• Prior experience working on developer-facing or infrastructure-heavy products

About the Role:
We’re looking for a Backend Engineer to contribute to a next-generation security initiative. You’ll be part of a small, highly technical team working on novel approaches to secure systems - with a focus on cryptography, automation, and AI-powered analysis. You’ll work closely with senior engineers and contribute hands-on to the codebase across the stack. This role involves hands-on development, learning opportunities, and collaboration across engineering, product, and design.

Day to Day:

• Contribute to the design, development, and delivery of features across the product
• Write clean, maintainable code for back-end systems deployed in AWS or GCP
• Collaborate with AI and cryptography specialists
• Work with the product manager to understand requirements and help the team plan architecture, data flows, API specs, and testing strategies
• Follow established engineering practices and participate in team discussions around process and quality
• Participate in customer-driven development and iterate based on feedback
• Write automated tests for load, performance, and error handling

What you bring to the table:

• 3+ years of hands-on software engineering experience for backend development
• Excellent TypeScript and Node.js coding experience
• AWS experience in containers (EKS, ECS) and serverless systems
• Relational, key/value, and graph datastore experience with schema management
• API design, data modeling, secure service development, database systems
• Has a focus on quality code, error handling, and high availability
• A thoughtful, pragmatic approach to solving technical problems in a fast-paced environment
• At least upper-intermediate level of spoken and written English

Extra Credit:

• Versed in Python coding and environments
• Experience with GCP systems
• Experience with applied cryptography, especially key management, TLS, or post-quantum algorithms
• Familiarity with agent-based architectures or systems that scan and orchestrate actions across distributed environments
• Knowledge of AI/ML systems, particularly LLM integration or agent-style reasoning patterns
• Experience managing LLM agents to increase both speed and quality of code generation and tests
• Exposure to security tools, vulnerability detection platforms, or compliance automation
• Prior experience working on developer-facing or infrastructure-heavy products

About the Role:
We’re looking for a Backend Engineer to contribute to a next-generation security initiative. You’ll be part of a small, highly technical team working on novel approaches to secure systems - with a focus on cryptography, automation, and AI-powered analysis. You’ll work closely with senior engineers and contribute hands-on to the codebase across the stack. This role involves hands-on development, learning opportunities, and collaboration across engineering, product, and design.

Day to Day:

• Contribute to the design, development, and delivery of features across the product
• Write clean, maintainable code for back-end systems deployed in AWS or GCP
• Collaborate with AI and cryptography specialists
• Work with the product manager to understand requirements and help the team plan architecture, data flows, API specs, and testing strategies
• Follow established engineering practices and participate in team discussions around process and quality
• Participate in customer-driven development and iterate based on feedback
• Write automated tests for load, performance, and error handling

What you bring to the table:

• 3+ years of hands-on software engineering experience for backend development
• Excellent TypeScript and Node.js coding experience
• AWS experience in containers (EKS, ECS) and serverless systems
• Relational, key/value, and graph datastore experience with schema management
• API design, data modeling, secure service development, database systems
• Has a focus on quality code, error handling, and high availability
• A thoughtful, pragmatic approach to solving technical problems in a fast-paced environment
• At least upper-intermediate level of spoken and written English

Extra Credit:

• Versed in Python coding and environments
• Experience with Bun and Express
• GitHub Actions and IaC
• Experience with GCP systems
• Experience with applied cryptography, especially key management, TLS, or post-quantum algorithms
• Familiarity with agent-based architectures or systems that scan and orchestrate actions across distributed environments
• Knowledge of AI/ML systems, particularly LLM integration or agent-style reasoning patterns
• Experience managing LLM agents to increase both speed and quality of code generation and tests
• Exposure to security tools, vulnerability detection platforms, or compliance automation
• Prior experience working on developer-facing or infrastructure-heavy products

Why Verifone

For more than 30 years, Verifone has established a remarkable record of leadership in the electronic payment technology industry. Verifone is one of the leading electronic payment solutions brands and among the largest providers of electronic payment systems worldwide.

Verifone has a diverse, dynamic, and fast-paced work environment in which employees are focused on results and have opportunities to excel. We take pride in working with leading retailers, merchants, banks, and third-party partners to invent and deliver innovative payment solutions around the world. We strive for excellence in our products and services and are obsessed with customer happiness.

Across the globe, Verifone employees are leading the payments industry through experience, innovation, and an ambitious spirit. Whether it’s developing the next generation of secure payment systems or finding new ways to bring electronic payments to emerging markets, the Verifone team is dedicated to the success of our customers, partners, and investors. It is this passion for innovation that drives every Verifone employee toward personal and professional success.

Verifone is proudly an in-office work culture as we see immense benefits to career development and business results from our colleagues being physically co-located.

What’s Exciting About the Role

Verifone is seeking a Kafka DevOps Engineer to join our Platform Engineering team. This is an operations-first role with a strong emphasis on scripting, automation, and pipeline development. You’ll be hands-on with day-to-day Kafka operations, reliability, tuning, and high availability for payment gateway solutions that process billions of transactions annually on-prem and in AWS Cloud. Beyond keeping the lights on, you’ll play a key role in building the data pipelines—of which Kafka is a core component—that power Verifone’s new AI, machine learning, and analytics initiatives. You’ll also be part of an active effort to migrate Kafka and related services to Kubernetes, giving you hands-on experience with a meaningful infrastructure modernization project. The technology footprint is broad: Redis, MongoDB, PostgreSQL, MySQL, Snowflake, and more—so you’ll grow well beyond a single-technology niche.

Key Responsibilities

Kafka Operations & Reliability

• Manage and support Apache Kafka clusters (including MSK), Kafka Connect ecosystem, and KSQL for high-throughput, fault-tolerant messaging and event streaming pipelines.
• Monitor system health, set up alerts, and drive incident response and root cause analysis (RCA).
• Handle day-to-day operational tasks including offset management, lag monitoring, consumer group management, and cluster rebalancing.
• Perform routine cluster maintenance: upgrades, configuration changes, scaling, and health checks.

Scripting, Automation & DevOps

• Develop and manage automation scripts using Python and Shell scripting to reduce manual toil and improve operational efficiency.
• Design, implement, and maintain robust CI/CD pipelines for patching automation.
• Build and maintain Infrastructure as Code (IaC) using tools such as Terraform, Ansible, or similar.
• Containerize and orchestrate workloads using Docker and Kubernetes, with the opportunity to help migrate Kafka and related services to Kubernetes.

Data Pipeline Development

• Build and optimize end-to-end data pipelines, with Kafka as a core streaming component alongside batch and ETL processes, enabling new AI, ML, and analytics use cases.
• Collaborate with development teams to implement best practices for data flow, security, scalability, and performance.
• Continuously identify and implement improvements to the software development lifecycle (SDLC).

Cloud & Infrastructure

• Manage cloud infrastructure on AWS (VMs, networking, storage, IAM, etc.).
• Support cloud migration tasks and assist in moving workloads between on-prem and cloud environments.

Required Qualifications / Skills

• 4+ years of overall engineering experience with 2+ years of hands-on experience supporting Kafka infrastructure in a large-scale production environment.
• Kafka Producer/Consumer microservices concepts and Kafka distributed architecture.
• Solid Linux fundamentals: networking basics, logs, system troubleshooting, process/memory, disk.
• Strong scripting and automation skills (Python, Bash) with a track record of reducing operational toil.
• CI/CD pipeline development and Infrastructure-as-Code experience (Terraform preferred).
• Cloud engineering skills, preferably AWS (EC2, VPC, IAM, MSK/ElastiCache, CloudWatch).
• Familiarity with observability tools (metrics/logs/tracing concepts) and incident response practices.
• Basic understanding of distributed systems tradeoffs (availability, consistency, partitions, backpressure).
• Strong communication and presentation skills with emphasis on executive communication.
• Flexible with regards to working shifts; on-call and weekends.

Preferred Skills (Highly Desired)

Data Engineering & Pipelines

• Data engineering skills including data analytics, data processing, ETL, and data lake technologies (batch and streaming, file formats like Parquet, table formats like Iceberg/Delta/Hudi, basic orchestration).
• Experience with AWS data tools (Athena, Glue, Iceberg, Redshift, etc.).
• Exposure to Kafka Streams, Apache Flink, or similar stream processing frameworks.

Database & Caching Technologies

• Operate Redis deployments for caching, ephemeral state, queues/streams, and rate limiting use cases.
• Relational DB experience: PostgreSQL and/or MySQL (indexing basics, vacuum/analyze, query plans, replication fundamentals).
• MongoDB operational familiarity (replica sets, elections, oplog basics, backup/restore).

Infrastructure & Security

• Container/Kubernetes familiarity (deployments, stateful workloads, storage classes).
• On-prem experience (VMware/KVM, storage, networking).
• Security fundamentals: least privilege, secrets management, encryption-in-transit/at-rest concepts.
• Experience working with PCI (Payment Card Industry Data Security) standards.

What We Offer

• Direct impact on Verifone’s global payment infrastructure—your work keeps billions of transactions flowing reliably every year.
• Ground-floor involvement in building the data pipelines that will drive Verifone’s AI, machine learning, and analytics strategy.
• Hands-on participation in a Kafka-to-Kubernetes migration—a resume-building modernization project from day one.
• Multi-technology exposure—Kafka, Redis, MongoDB, PostgreSQL, MySQL, Snowflake—so you grow as a well-rounded platform engineer, not a single-tool specialist.
• Mentorship from senior engineers and Kafka architects with deep production experience.
• Clear career progression path from mid-level to senior and lead engineer.
• Funded certification paths—Confluent (CCDAK, Certified Administrator), AWS (Solutions Architect, MSK Specialty), CKA—plus budget for courses and technical conferences.
• Hybrid/remote working flexibility with a collaborative team culture.
• Competitive compensation with performance-based incentives.

Our Commitment

Verifone is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Verifone is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

We are looking for a Senior Software Engineer, AI Automations, to join our team. In this role, you will take part in the design and development of internal tools, workflow automations, and AI-powered applications that support internal offerings and sales enablement. This is a hands-on engineering role for someone who is equally comfortable building backend services, designing integrations, and delivering polished user-facing tools. You will work closely with data scientists and cross-functional stakeholders to turn ideas into reliable production systems.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

What You’ll Do:

• Design, build, and maintain internal applications, automations, and AI-powered workflows
• Develop backend services and APIs in Python, Java Script (Node) and/or related technologies
• Build user-facing tools and dashboards using React
• Integrate LLMs and external services into business workflows using platforms such as OpenAI, Gemini, AWS, and GCP
• Partner with data scientists to productionize prototypes and analytical solutions
• Improve the architecture, reliability, testing, observability, and deployment of team-owned systems
• Work with stakeholders across business, operations, and sales to understand pain points and translate them into practical solutions
• Identify opportunities to automate repetitive work and streamline internal processes
• Establish engineering best practices for code quality, system design, CI/CD, and documentation
• Mentor other engineers and help raise the overall engineering bar of the team

What You Bring:

• 7+ years of software engineering experience, with strong experience building production systems
• Strong backend engineering skills, ideally in Python
• Experience building modern web applications with React
• Experience designing and consuming APIs, integrating third-party services, and building automation workflows
• Solid understanding of software architecture, system design, and scalable application development
• Experience working with cloud platforms such as AWS, GCP, or Azure
• Experience with containers, deployment pipelines, and engineering best practices in production environments
• Familiarity with LLM-based application development, including tools and APIs such as OpenAI, Gemini, or similar platforms
• Ability to evaluate where AI is useful in a workflow and where traditional engineering patterns are the better solution
• Strong communication skills and the ability to work directly with technical and non-technical stakeholders
• Proven ability to move from ambiguous business needs to working software

Nice to Have:

• Experience with workflow orchestration and automation tooling
• Experience building internal tools, sales enablement systems, or operational platforms
• Familiarity with vector databases, retrieval pipelines, agentic workflows, or prompt design
• Experience with asynchronous processing, task queues, and event-driven systems
• Exposure to analytics, experimentation, or collaboration with data science / ML teams
• Familiarity with Postgres and other common data storage technologies
• Experience with observability, monitoring, and production support
• Background in SaaS, enterprise platforms, or customer-facing solution engineering

English level:

Upper-Intermediate

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

We are looking for a Senior Software Engineer, AI Automations, to join our team. In this role, you will take part in the design and development of internal tools, workflow automations, and AI-powered applications that support internal offerings and sales enablement. This is a hands-on engineering role for someone who is equally comfortable building backend services, designing integrations, and delivering polished user-facing tools. You will work closely with data scientists and cross-functional stakeholders to turn ideas into reliable production systems.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

What You’ll Do:

• Design, build, and maintain internal applications, automations, and AI-powered workflows
• Develop backend services and APIs in Python, Java Script (Node) and/or related technologies
• Build user-facing tools and dashboards using React
• Integrate LLMs and external services into business workflows using platforms such as OpenAI, Gemini, AWS, and GCP
• Partner with data scientists to productionize prototypes and analytical solutions
• Improve the architecture, reliability, testing, observability, and deployment of team-owned systems
• Work with stakeholders across business, operations, and sales to understand pain points and translate them into practical solutions
• Identify opportunities to automate repetitive work and streamline internal processes
• Establish engineering best practices for code quality, system design, CI/CD, and documentation
• Mentor other engineers and help raise the overall engineering bar of the team

What You Bring:

• 7+ years of software engineering experience, with strong experience building production systems
• Strong backend engineering skills, ideally in Python
• Experience building modern web applications with React
• Experience designing and consuming APIs, integrating third-party services, and building automation workflows
• Solid understanding of software architecture, system design, and scalable application development
• Experience working with cloud platforms such as AWS, GCP, or Azure
• Experience with containers, deployment pipelines, and engineering best practices in production environments
• Familiarity with LLM-based application development, including tools and APIs such as OpenAI, Gemini, or similar platforms
• Ability to evaluate where AI is useful in a workflow and where traditional engineering patterns are the better solution
• Strong communication skills and the ability to work directly with technical and non-technical stakeholders
• Proven ability to move from ambiguous business needs to working software

Nice to Have:

• Experience with workflow orchestration and automation tooling
• Experience building internal tools, sales enablement systems, or operational platforms
• Familiarity with vector databases, retrieval pipelines, agentic workflows, or prompt design
• Experience with asynchronous processing, task queues, and event-driven systems
• Exposure to analytics, experimentation, or collaboration with data science / ML teams
• Familiarity with Postgres and other common data storage technologies
• Experience with observability, monitoring, and production support
• Background in SaaS, enterprise platforms, or customer-facing solution engineering

English level:

Upper-Intermediate

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

We are looking for a Senior Software Engineer, AI Automations, to join our team. In this role, you will take part in the design and development of internal tools, workflow automations, and AI-powered applications that support internal offerings and sales enablement. This is a hands-on engineering role for someone who is equally comfortable building backend services, designing integrations, and delivering polished user-facing tools. You will work closely with data scientists and cross-functional stakeholders to turn ideas into reliable production systems.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

What You’ll Do:

• Design, build, and maintain internal applications, automations, and AI-powered workflows
• Develop backend services and APIs in Python, Java Script (Node) and/or related technologies
• Build user-facing tools and dashboards using React
• Integrate LLMs and external services into business workflows using platforms such as OpenAI, Gemini, AWS, and GCP
• Partner with data scientists to productionize prototypes and analytical solutions
• Improve the architecture, reliability, testing, observability, and deployment of team-owned systems
• Work with stakeholders across business, operations, and sales to understand pain points and translate them into practical solutions
• Identify opportunities to automate repetitive work and streamline internal processes
• Establish engineering best practices for code quality, system design, CI/CD, and documentation
• Mentor other engineers and help raise the overall engineering bar of the team

What You Bring:

• 7+ years of software engineering experience, with strong experience building production systems
• Strong backend engineering skills, ideally in Python
• Experience building modern web applications with React
• Experience designing and consuming APIs, integrating third-party services, and building automation workflows
• Solid understanding of software architecture, system design, and scalable application development
• Experience working with cloud platforms such as AWS, GCP, or Azure
• Experience with containers, deployment pipelines, and engineering best practices in production environments
• Familiarity with LLM-based application development, including tools and APIs such as OpenAI, Gemini, or similar platforms
• Ability to evaluate where AI is useful in a workflow and where traditional engineering patterns are the better solution
• Strong communication skills and the ability to work directly with technical and non-technical stakeholders
• Proven ability to move from ambiguous business needs to working software

Nice to Have:

• Experience with workflow orchestration and automation tooling
• Experience building internal tools, sales enablement systems, or operational platforms
• Familiarity with vector databases, retrieval pipelines, agentic workflows, or prompt design
• Experience with asynchronous processing, task queues, and event-driven systems
• Exposure to analytics, experimentation, or collaboration with data science / ML teams
• Familiarity with Postgres and other common data storage technologies
• Experience with observability, monitoring, and production support
• Background in SaaS, enterprise platforms, or customer-facing solution engineering

English level:

Upper-Intermediate

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

The Repayment Scheduling engineering team is growing rapidly, and we're looking for a Software Engineer specializing in Backend development. We're a fully European engineering team – distributed across Poland and Spain with overlapping working hours. We build and own the system that enables our users to schedule automatic payments to pay back loans worth collectively over $30B each year. We directly improve the financial lives of over 20 million people, giving them peace of mind that their payments will be made on time.

The team was created recently with brand new scope, and you would be one of the first engineers on this team. This means an outsized opportunity to influence how a core part of Affirm's infrastructure gets built. This role rewards curiosity, ownership, and a builder's mindset. You'll know exactly what your objectives are, you'll have what you need to hit them, and you'll choose your own path to get there. You'll learn quickly from experienced teammates and grow your craft on problems that matter at scale.

If you want to build something new and operate it at scale – come join us!

What You'll Do
· With the support of your team, you will work on tasks that contribute to the team's projects and goals.
· You will work collaboratively and proactively with your team and stakeholders, bringing them along for your work and helping to create visibility and dialog regarding the risks and trade-offs related to your work.
· You will strike the right balance of speed and quality in your work, ensuring that we hit our business goals while protecting our systems from downtime.
· You will contribute to a sense of community on your team by engaging in growth and development activities.

What We Look For
· You have previous work or internship experience designing, developing and launching backend systems at scale and are experienced using one of Python or Kotlin.
· You are familiar with the building blocks of distributed systems, and the technologies like AWS, MySQL and Kubernetes.
· You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code.
· You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews.
· Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.
· You have strong verbal and written communication skills that support effective collaboration with our global engineering team.

Compensation and Benefits

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Project

As an Associate AI Engineer, you will join the team building internal LLM projects, ranging from client-facing demos to cutting-edge R&D initiatives. These projects will give you hands-on experience and prepare you to contribute to commercial client engagements.

What You’ll Do

• Build LLM and Agentic applications
• Brainstorm ideas for those projects and their implementation
• Take part in the full cycle: from ideation and brainstorming, through implementation, to testing and evaluation of the solutions
• You will have the opportunity to learn and develop your skills by working together with other AI Engineers (ranging from Associate to Lead)
• Participate in research of cutting-edge technologies and products

What You Bring

• Strong fundamentals in software development and problem-solving (Python preferred)
• Experience working in a Scrum team and writing production code
• Experience in using AI and Agentic tools for coding
• Knowledge of SDLC process
• Bachelor’s degree in STEM (or equivalent hands-on experience or bootcamp) as minimum (master's or PhD degree a plus)
• DevOps/MLOps experience including Docker
• Business-oriented, results-driven mindset
• Strong communication skills
• Curiosity and willingness to learn AI/LLM technologies

Nice to have

• Familiarity with cloud infrastructure (AWS/GCP/Azure)
• Knowledge of LLM Python packages: LangChain, LangGraph, LangFuse, vector DBs
• Knowledge of ML Python packages: PyTorch, scikit-learn
• NLP and language modelling knowledge
• Research interest and experience
• Good grasp of mathematics and statistics, including:
• Linear algebra, probability, and basic calculus
• Statistical testing and basic modeling techniques

English level

Upper-intermediate

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Project

As an Associate AI Engineer, you will join the team building internal LLM projects, ranging from client-facing demos to cutting-edge R&D initiatives. These projects will give you hands-on experience and prepare you to contribute to commercial client engagements.

What You’ll Do

• Build LLM and Agentic applications
• Brainstorm ideas for those projects and their implementation
• Take part in the full cycle: from ideation and brainstorming, through implementation, to testing and evaluation of the solutions
• You will have the opportunity to learn and develop your skills by working together with other AI Engineers (ranging from Associate to Lead)
• Participate in research of cutting-edge technologies and products

What You Bring

• Strong fundamentals in software development and problem-solving (Python preferred)
• Experience working in a Scrum team and writing production code
• Experience in using AI and Agentic tools for coding
• Knowledge of SDLC process
• Bachelor’s degree in STEM (or equivalent hands-on experience or bootcamp) as minimum (master's or PhD degree a plus)
• DevOps/MLOps experience including Docker
• Business-oriented, results-driven mindset
• Strong communication skills
• Curiosity and willingness to learn AI/LLM technologies

Nice to have

• Familiarity with cloud infrastructure (AWS/GCP/Azure)
• Knowledge of LLM Python packages: LangChain, LangGraph, LangFuse, vector DBs
• Knowledge of ML Python packages: PyTorch, scikit-learn
• NLP and language modelling knowledge
• Research interest and experience
• Good grasp of mathematics and statistics, including:
• Linear algebra, probability, and basic calculus
• Statistical testing and basic modeling techniques

English level

Upper-intermediate

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.