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

Overview: Given the rising importance of using AI tools and agents, trusted data is more important than ever—better data means better decisions.   We are seeking a motivated Senior IP Tech & Product Counsel to provide strategic legal guidance and support to Precisely’s dynamic, innovation-driven, global organization on a variety of intellectual property, technology product development, and product licensing issues, with a particular focus in data products and data licensing. This role partners closely with our supplier, product (engineering, product management, and data product), marketing, commercial, compliance, privacy, legal and security teams to ensure that our products, services and platforms are designed, deployed, contracted and marketed in compliance with IP, data, and regulatory requirements as well as business needs. The ideal candidate will appropriately balance risk while optimizing business growth in providing legal guidance to our global commercial teams and through analysis and negotiation of technology and data licensing related agreements. Additionally, this exciting role includes collaborating with internal business partners, and advising on existing and new product, feature and data development, from conception to pilot to launch, requiring a global mindset and in-depth knowledge of IP law, data licensing, AI/ML issues, open-source, open data, software and digital technology issues.  The ideal candidate will demonstrate the ability to combine strong business acumen with advanced negotiation capabilities for technology related agreements, balance legal risk with speed-to-market, as well as show the ability to influence product strategy through technology and data fluency and a nuanced understanding of IP and data issues.

What you will do:

As Senior IP Tech & Product Counsel with Precisely, you will play a key role in closing deals with our Supplier, Partner and client-facing teams as well as working with our Legal counterparts, Products, Marketing, and other departments for product counseling, data, and Intellectual Property matters, key responsibilities including:

Intellectual Property & Data Counseling

• Draft, negotiate, and advise the business on a variety of agreements and IP and technology clauses and legal issues in supplier, partner, and customer technology and data related agreements, including various supplier/partner terms (reseller, comarketing, co-selling, OEM, and more), data use, data licensing, AI/ML, software on-prem and SaaS platforms, IP development, IP ownership/licensing,  and other commercialization of IP and license grants, based on an understanding of the products, data, business and customer objectives, required flow down obligations, and legal positions. 
• Draft, negotiate and advise on various technology-related agreements from open source software licenses, open data licenses, EULAs, online terms (click-throughs, shrink-wraps, and other no-touch terms), SaaS and other cloud-based terms, AI/ML Addendums, EU Data terms, evaluation and beta trials, and other technology-regulation related terms.  
• Assist in drafting, maintaining, and training others in technology and data specific contract templates, fall back language, and legal positions, including provisions covering data licensing, data use, AI/ML, SaaS, IP ownership/licensing, assignment issues, SLAs, and risk provisions related to the same (warranties, indemnities, limitations on liability, insurance, remedies, wind-down and termination) across software, SaaS, support/service and data-driven products. 
• Assist on a variety of intellectual property matters, including trademarks, patents, trade-secrets, and copyright issues, including prosecution work with external and regional counsel, IP claims, licensing issues, as well as IP portfolio management and other IP work including assisting in developing and implementing IP strategies for proprietary technologies, algorithms, and data models. 
• Oversee open-source software (OSS) and open-data (OD) compliance, including license reviews, risk assessments, and developer guidance and training. 
• Advise on data acquisition, usage rights, data sharing agreements, and other data transfer mechanisms and licensing for structured and unstructured datasets. 
• Advise on and ensure compliance with data regulations (EU Data Act, EU AI Act) and cross-border data transfer requirements as well as provide guidance on AI/ML data training, model ownership, and output rights. 
• Assist with IP diligence in M&A, investments, and vendor selection; advise on IP assignments and transition services.   

Product Counseling & Emerging Technology

• Serve as a primary legal advisor for product development lifecycle, from ideation to launch. 
• Conduct risk assessments and regulatory compliance for new products, features, APIs, and integrations involving IP and data. 
• Support data monetization initiatives, including structuring agreements for data products and data-as-a-service (DaaS) offerings. 
• Assist with guidance on AI use, integration, and governance, including bias mitigation, transparency, and compliance with emerging AI regulations, with support from AI related counsel and manager. 
• Review product terms of service, EULAs, and developer agreements for IP and data issues, updates and compliance. 
• Partner with Privacy Counsel and Security teams to align product design with privacy-by-design and security-by-design principles. 
• Partner with Product Management, Marketing and Documentation teams on product UIs, disclaimers, EULAs/TOUs, branding, content, announcements, webpages, articles, customer interactions, product documentation and other product content.  
• Collaborate with Research & Development and Product teams to identify copyright and patent notifications, patentable inventions, manage trade secrets, and support patent filings with outside counsel. 

Governance, Policy & Enablement

• Assist with Development and maintenance of IP, data, OSS/OD, marketing, patents, and trade-secret policies and guidelines, and related playbooks, questionnaires and templates. 
• Assist with training Product, Engineering, and Data teams on topics such as IP, data licensing, and open-source compliance. 
• Monitor regulatory developments in IP, data, and AI law; update stakeholders on emerging risks and opportunities. 
• Support internal/external audits, due diligence, compliance certifications, insurance inquiries, IP complaints and disputes, coordinate litigation strategy as needed, and other reviews related to IP and data governance.        

What we are looking for:

• Law Degree from an accredited institution (or relevant local equivalent); and qualified and admitted to practice law in local jurisdiction. 
• 7-10 years of post-qualification experience in IP and technology law, with significant exposure to data licensing and product counseling (at least 4 years in-house experience preferred; top law firm experience a plus). 
• Professional fluency in English for advanced legal reading, writing, and communication. 
• Hybrid [or full-remote option] supporting global needs, specifically supporting US Eastern and EMEA time zones regularly.  While the role is based on local working hours, the selected candidate is expected (consistent with the demands of an international legal practice) to participate in meetings, reviews, or time-sensitive legal matters occurring during the US Eastern and EMEA time zones. The role is task-based rather than hours-based; occasional late meetings may be required depending on business needs.     
• Ability to work collaboratively and remotely with teams from across the globe, as needed, but also the confidence and efficiency to work autonomously. 
• In-depth knowledge of globally recognized IP concepts (trademarks, patents, copyrights, trade secrets, as well as ownership, licensing, and confidentiality), IP ownership, licensing, and enforcement, including in software and data-driven technologies, and their application in IP prosecution and contractual contexts. 
• Experience advising on open-source and open-data license compliance and AI/ML issues. 
• In-house experience at a technology company, SaaS provider, or data-driven enterprise. 
• Enthusiasm and experience in using AI‑powered tools to enhance legal research, drafting, and day‑to‑day workflow efficiency. 

Preferred requirements:

• Familiarity with cloud computing, APIs, data analytics platforms, and AI/ML product development. 
• Knowledge of export controls, cybersecurity regulations, and responsible AI frameworks. 
• Experience with IP portfolio management and IP strategy. 
• Comfort with legal tech tools (CLM systems, IP management software), approval matrices, thresholds, playbooks and self-service workflows. 
• Strong problem-solving capability, and the ability to handle ambiguity, particularly as it relates to the evolving landscape of technology and potential regulatory issues.  
• Ability to manage numerous matters on tight timelines and the ability to adapt to shifting priorities with flexibility and a pragmatic approach.  
• Experience working with and managing external counsel.  
• Self-motivated, intellectually curious, and willing to jump into new challenges and projects. 

Core competencies:

• Strategic Thinking: Aligns IP and data strategies with business objectives. 
• Technical Fluency: Understands software architecture, data models, and emerging technologies. 
• Risk Management: Balances innovation with regulatory and contractual compliance. 
• Influence & Collaboration: Builds trust with Product, Engineering, and Data teams. 
• Communication: Crisp advice, actionable guidance, executive-ready narratives, and simplifies complex legal technical concepts for non-legal and/or non-tech stakeholders and succinctly articulates solutions through a pragmatic business-oriented lens.  

Salary: 193 000 - 257 000 PLN gross per year - compensation is flexible and open for discussion, with the possibility of adjustment for candidates whose skills and experience strongly align with the role’s requirements

#LI-ZB1

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  

6-month engagement with the possibility of extension

What You’ll Do  

• Lead structured technical discovery with the hardware and platform engineering teams to establish the API surface, platform readiness, and target workload definitions
• Author the Architecture Decision Record (ADR) documenting the integration approach, technology choices, and key design decisions
• Define the requirements baseline, functional and non-functional, and produce the risk register
• Negotiate and agree the revised Statement of Work for Phases 1 and 2 with the client
• Establish the reference workload definition and benchmark criteria to be used through the POC
• Maintain technical governance and architectural coherence across the integration build
• Direct the engineering team on component delivery: workload adapter, hardware dispatch client, telemetry bridge, and any required platform-side changes
• Manage the client relationship on a day-to-day basis: progress reporting, risk escalation, and gate reviews
• Review and sign off integration components before gate conditions are assessed
• Lead knowledge transfer and runbook acceptance sessions with client engineering teams
• Support the customer Proof of Value demonstration in an advisory capacity

What You Bring 

• Demonstrable background in cloud platform architecture, distributed systems, and API design — REST and gRPC in particular
• Experience integrating third-party hardware or specialised compute into cloud scheduling and resource management layers
• Familiarity with workload orchestration: Kubernetes, custom schedulers, resource plugins, or equivalent
• Working knowledge of observability tooling: OpenTelemetry, Prometheus, Grafana, or comparable stacks
• Comfort operating across the full stack, from infrastructure (IaC, networking, cloud providers) to API and platform layers
• SRE background or equivalent: SLO definition, telemetry design, incident response, and operational documentation
• Ability to design for observability and failure modes from the outset, not as a post-build afterthought
• Experience producing runbooks and operational documentation for technical handover
• Proven ability to lead client-facing technical engagements, managing expectations, communicating risk, and maintaining trust in ambiguous early-stage programmes
• Comfortable working with non-traditional technical counterparts, such as hardware scientists who may not be experienced platform API producers
• Skilled at structured requirements elicitation under significant uncertainty — able to extract requirements through interviews, prototypes, and reference examples rather than documentation
• Experience producing Architecture Decision Records, revised SOW documents, and risk registers as formal engagement outputs
• Experience operating as a senior contractor or fractional leader, comfortable with part-time engagement structures and accountability for commercial gate conditions without full-time oversight
• Able to take ownership of engagement quality and client confidence independently

Nice to Have

• Prior exposure to custom silicon, FPGA integration, or specialised AI accelerator hardware
• Experience in sovereign cloud, data sovereignty, or regulated compute environments
• Familiarity with AI/ML workload types: inference serving, training pipelines, batch processing
• Experience with M2M identity, workload authentication, and platform governance patterns
• Background in early-stage or venture-backed technology companies where engineering rigour and commercial pragmatism must coexist

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  

6-month engagement with the possibility of extension

What You’ll Do  

• Lead structured technical discovery with the hardware and platform engineering teams to establish the API surface, platform readiness, and target workload definitions
• Author the Architecture Decision Record (ADR) documenting the integration approach, technology choices, and key design decisions
• Define the requirements baseline, functional and non-functional, and produce the risk register
• Negotiate and agree the revised Statement of Work for Phases 1 and 2 with the client
• Establish the reference workload definition and benchmark criteria to be used through the POC
• Maintain technical governance and architectural coherence across the integration build
• Direct the engineering team on component delivery: workload adapter, hardware dispatch client, telemetry bridge, and any required platform-side changes
• Manage the client relationship on a day-to-day basis: progress reporting, risk escalation, and gate reviews
• Review and sign off integration components before gate conditions are assessed
• Lead knowledge transfer and runbook acceptance sessions with client engineering teams
• Support the customer Proof of Value demonstration in an advisory capacity

What You Bring 

• Demonstrable background in cloud platform architecture, distributed systems, and API design — REST and gRPC in particular
• Experience integrating third-party hardware or specialised compute into cloud scheduling and resource management layers
• Familiarity with workload orchestration: Kubernetes, custom schedulers, resource plugins, or equivalent
• Working knowledge of observability tooling: OpenTelemetry, Prometheus, Grafana, or comparable stacks
• Comfort operating across the full stack, from infrastructure (IaC, networking, cloud providers) to API and platform layers
• SRE background or equivalent: SLO definition, telemetry design, incident response, and operational documentation
• Ability to design for observability and failure modes from the outset, not as a post-build afterthought
• Experience producing runbooks and operational documentation for technical handover
• Proven ability to lead client-facing technical engagements, managing expectations, communicating risk, and maintaining trust in ambiguous early-stage programmes
• Comfortable working with non-traditional technical counterparts, such as hardware scientists who may not be experienced platform API producers
• Skilled at structured requirements elicitation under significant uncertainty — able to extract requirements through interviews, prototypes, and reference examples rather than documentation
• Experience producing Architecture Decision Records, revised SOW documents, and risk registers as formal engagement outputs
• Experience operating as a senior contractor or fractional leader, comfortable with part-time engagement structures and accountability for commercial gate conditions without full-time oversight
• Able to take ownership of engagement quality and client confidence independently

Nice to Have

• Prior exposure to custom silicon, FPGA integration, or specialised AI accelerator hardware
• Experience in sovereign cloud, data sovereignty, or regulated compute environments
• Familiarity with AI/ML workload types: inference serving, training pipelines, batch processing
• Experience with M2M identity, workload authentication, and platform governance patterns
• Background in early-stage or venture-backed technology companies where engineering rigour and commercial pragmatism must coexist

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  

6-month engagement with the possibility of extension

What You’ll Do  

• Lead structured technical discovery with the hardware and platform engineering teams to establish the API surface, platform readiness, and target workload definitions
• Author the Architecture Decision Record (ADR) documenting the integration approach, technology choices, and key design decisions
• Define the requirements baseline, functional and non-functional, and produce the risk register
• Negotiate and agree the revised Statement of Work for Phases 1 and 2 with the client
• Establish the reference workload definition and benchmark criteria to be used through the POC
• Maintain technical governance and architectural coherence across the integration build
• Direct the engineering team on component delivery: workload adapter, hardware dispatch client, telemetry bridge, and any required platform-side changes
• Manage the client relationship on a day-to-day basis: progress reporting, risk escalation, and gate reviews
• Review and sign off integration components before gate conditions are assessed
• Lead knowledge transfer and runbook acceptance sessions with client engineering teams
• Support the customer Proof of Value demonstration in an advisory capacity

What You Bring 

• Demonstrable background in cloud platform architecture, distributed systems, and API design — REST and gRPC in particular
• Experience integrating third-party hardware or specialised compute into cloud scheduling and resource management layers
• Familiarity with workload orchestration: Kubernetes, custom schedulers, resource plugins, or equivalent
• Working knowledge of observability tooling: OpenTelemetry, Prometheus, Grafana, or comparable stacks
• Comfort operating across the full stack, from infrastructure (IaC, networking, cloud providers) to API and platform layers
• SRE background or equivalent: SLO definition, telemetry design, incident response, and operational documentation
• Ability to design for observability and failure modes from the outset, not as a post-build afterthought
• Experience producing runbooks and operational documentation for technical handover
• Proven ability to lead client-facing technical engagements, managing expectations, communicating risk, and maintaining trust in ambiguous early-stage programmes
• Comfortable working with non-traditional technical counterparts, such as hardware scientists who may not be experienced platform API producers
• Skilled at structured requirements elicitation under significant uncertainty — able to extract requirements through interviews, prototypes, and reference examples rather than documentation
• Experience producing Architecture Decision Records, revised SOW documents, and risk registers as formal engagement outputs
• Experience operating as a senior contractor or fractional leader, comfortable with part-time engagement structures and accountability for commercial gate conditions without full-time oversight
• Able to take ownership of engagement quality and client confidence independently

Nice to Have

• Prior exposure to custom silicon, FPGA integration, or specialised AI accelerator hardware
• Experience in sovereign cloud, data sovereignty, or regulated compute environments
• Familiarity with AI/ML workload types: inference serving, training pipelines, batch processing
• Experience with M2M identity, workload authentication, and platform governance patterns
• Background in early-stage or venture-backed technology companies where engineering rigour and commercial pragmatism must coexist

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.

As a Senior Windows Identity Detection Engineer you will research and detect emerging identity threats by developing behavior-based detection methods. You’ll build tools and PoCs to identify and prevent attacks such as Pass-the-Hash, Silver Ticket, and MFA bypass. Your work will directly strengthen the security of millions of Windows endpoints protected by the platform. In this role, you’ll have a unique opportunity to expand your skillset beyond just Windows security, and to not only contribute, but to significantly influence the buildout of a new side of our business - Identity security - from the ground up!

What will you do?

Primary responsibilities include: 

• You’ll be responsible for detecting the newest identity threats. Your role won’t end with a hypothesis or a document - you’ll have an end to end responsibility for behaviour based detection capabilities, starting from researching attack techniques, designing new methods to detect or prevent those, and implementing it in the product in the end (SW development in C++23 and scripting in Lua).
• You’ll be developing and using internal research tools, PoCs and discovering new ways to detect/prevent identity-based attacks (Pass the Hash, Silver ticket, MFA bypass and more). 
• At the end of the day, your deliveries will enhance the security of dozens of millions of Windows endpoints which are protected by our platform.

What experience or knowledge should you bring?

Ideal candidates will have: 

• 3+ years of experience in malware analysis (statically and dynamically)
• 3+ years of experience with C++, an advantage would be knowledge of Lua or similar scripting language 
• Excellent understanding of the Windows Internals  - understanding how core system components (Process and Threads, Virtual Memory and more) work behind the scenes.
• Experienced with analysis tools, such as: IDA, WinDBG, SysInternals etc.
• A big plus - experience with Identity-based attacks (Pass the Hash, Silver ticket, MFA bypass and more)
• An advantage would be - kernel development experience and/or understanding of existing AVs internals

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

• Permanent-fulltime collaboration (UoP)
• Flexible working hours, this is a 100% remote role based within Poland; we provide optional membership in major co-working spaces
• Currently for this role in Poland we are able to consider only candidates that are already eligible to work in the EU at the time of applying
• Optionally for those willing to relocate to the Czech Republic relocation assistance is available for any candidates that are already eligible to work in the EU at the time of applying
  
  
• Generous employee stock plan in the form of grant of RSUs (restricted stock units), not options; 4 years vesting with 1 year cliff and then quarterly, stock refresh yearly
• Yearly bonus depending on the performance of the company, paid out in 2 installments
• LuxMed, Life Insurance, Disability Insurance, PPK (4% employer contribution)
• Flexible time off (up to 30 paid days off per annum!)
• Volunteering paid day off & Additional paid Company holidays off (e.g. 4 days in 2022)
• Monthly Wellness Allowance
• Monthly Working from Home allowance
• Global gender-neutral Parental Leave (16 weeks, beyond the leave provided by the local laws) & Grandparent Leave
• Global Employee Assistance Program (confidential counseling related to both personal and work life matters)
• LinkedIn Learning platform for Hard/Soft skills Training & Support for your further educational activities/trainings
• Above-standard referral bonus

& Aditional Country-specific Benefits & Allowances To Poland

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.

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

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.

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 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.

In the capacity of a Senior Data Scientist within Conversions, the service provider contributes to shaping the intelligence that drives customized user journeys across conversion funnels. This involves executing complex feature engineering and optimization efforts, contributing to the data foundations and analytical approaches that power the decisioning platform for personalized experiences.

The provided services enable an automated engine that determines the optimal journey for a specific user at the appropriate time, based on intent, channel, and campaign context. This involves operating in a highly cross-functional environment, coordinating closely with Product, Engineering, and Marketing to design, evaluate, and scale personalization across various workstreams. This project carries direct responsibility for advancing the data strategy and improving the user experience for the HelloFresh group across global markets.

What you’ll do: The Recipe

• Build and iterate on machine learning models powering personalization that run in production behind high-traffic, performance-critical conversion pages.
• Execute decisioning models that determine the best next step in the conversion funnel for each user.
• Contribute to system design by coordinating with Engineering to ensure data science solutions integrate cleanly into the overall funnel architecture.
• Coordinate directly with Product and Engineering to shape how ML-driven decisions are embedded into the conversion funnels, including where models decide and how failures are handled.
• Direct experimentation design for decisioning models, defining success metrics, guardrails, and how results are interpreted in high-noise, high-traffic environments.
• Maintain model safety and effectiveness in production by monitoring performance, input data reliability, and latency, and iterating when issues are detected.

What you’ll bring: The Ingredients

• 5+ years of professional experience in data science or a related quantitative field.
• Strong foundation in machine learning concepts relevant to personalization and marketing communications.
• Hands-on experience with techniques such as regression, classification, clustering, recommendation systems, and experimentation.
• Practical experience designing and analyzing A/B tests and controlled experiments.
• Experience working with customer behavior data and segmentation.
• Extensive experience with operating in production environments and collaborating closely with engineers.
• Clear, structured communication skills and a collaborative mindset.

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 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.

In the capacity of a Staff Data Scientist within Conversions, the service provider contributes to shaping the intelligence that drives customized user journeys across conversion funnels. This involves directing complex feature engineering and optimization efforts, designing the data foundations and analytical approaches that power the decisioning platform for personalized experiences.

These services enable an automated engine to determine the optimal journey for a specific user at the appropriate time, based on intent, channel, and campaign context. Execution occurs at a strategic level, influencing how personalization is designed, evaluated, and scaled across various workstreams. This project carries direct accountability for advancing the data strategy and improving the user experience for the HelloFresh group across global markets.

What you’ll do: The Recipe

Decisioning, Modeling & Strategy

• Direct and evolve the data and modeling strategy behind customized journeys and funnel decisioning.

• Direct complex feature engineering initiatives that improve decision quality, robustness, and scalability.

• Design, implement, and evaluate machine learning approaches for large-scale personalization and routing decisions.

• Define standards for model validation, monitoring, and experimentation to ensure long-term reliability and impact.

Technical Coordination & Strategy

• Act as a strategic technical resource for Product, Engineering, and Marketing, shaping how decisioning capabilities are embedded into the conversion funnels and experiences.

• Drive alignment across technical workstreams on how personalization is measured, iterated, and scaled.

• Provide technical frameworks for roadmap and prioritization decisions by framing problems in terms of data, impact, and trade-offs.

• Contribute technical assessments to "build vs. buy" decisions related to data science tooling, platforms, and external solutions.

Platform & Enablement

• Define and evolve shared decisioning frameworks and data products used across Conversions and adjacent domains.

• Ensure analytical solutions are production-ready, observable, and efficient to iterate on.

• Provide high-level technical guidance to other data scientists, setting a high bar for analytical rigor and project impact.

AI & Automation

• Coordinate with engineering teams to bring these capabilities safely into production environments.

• Explore how AI and automation can improve decisioning quality, experimentation velocity, and iteration speed.

What you’ll bring: The Ingredients

• A minimum of 10 years of professional experience with a Master's degree, or a minimum of 5 years of professional experience with a Ph.D. degree, in a quantitative field.
• Demonstrated expertise in data science, with a strong emphasis on personalization and marketing communications.
• Deep understanding of machine learning principles and techniques relevant to send personalization and content creation including regression, classification, recommendation systems, clustering, natural language processing, and multi-armed / contextual bandit algorithms.
• Proven ability to solve complex optimization problems that involve a large number of dimensions and optimization targets.
• Proven ability to design and interpret A/B tests and quasi-experiments with synthetic controls to validate hypotheses related to the personalized communication strategy stream.
• Exceptional communication and collaboration capabilities.
• Experience with customer behavior analysis, segmentation, and identifying high-value actions to drive customer lifetime value.
• Experience in leveraging Generative AI (GenAI) models (e.g., LLMs) for content generation, including prompt engineering, model evaluation, and fine-tuning to create engaging and personalized customer communications.

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 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

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

• Deliver best-in-industry models for detection of subrogation opportunities using the latest ML advancements and best software engineering practices
• Meet and collaborate with business stakeholders (customers, sales and product managers) to drive the development of new models and features based on
• Collaborate with data engineering and software engineering team to ensure a smooth flow of data across teams and APIs related to outbound subrogation
• Mentor junior ML engineers in the outbound subro team to form a high-performing team

What You Bring

•  Deep understanding of ML lifecycle: development, evaluation, deployment, monitoring, and iteration
• Excellent communication skills; ability to explain complex technical concepts to non- technical stakeholders
• Hands-on experience in experiment design and model valuation
• Expertise with ML system design, model deployment, and production ML systems
• Experience in engineering production-grade GenAI features with robust validation, sanity checks, and structured outputs to mitigate hallucination and business risk
• Proficiency with AWS stack related to ML (e.g. Sagemaker, Lambda, Stepfunctions, IAM)
• Strong software engineering fundamentals and best practices (CICD, Test-Driven Development, Infrastructure as Code)
• Experience translating business objectives into technical roadmaps and deliverables
• Ability to balance technical excellence with business priorities and timelines
• Strong stakeholder management and cross-functional collaboration skills

Nice to have 

Experience in subrogation, claims processing, insurance or financial technology

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 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

• Deliver best-in-industry models for detection of subrogation opportunities using the latest ML advancements and best software engineering practices
• Meet and collaborate with business stakeholders (customers, sales and product managers) to drive the development of new models and features based on
• Collaborate with data engineering and software engineering team to ensure a smooth flow of data across teams and APIs related to outbound subrogation
• Mentor junior ML engineers in the outbound subro team to form a high-performing team

What You Bring

•  Deep understanding of ML lifecycle: development, evaluation, deployment, monitoring, and iteration
• Excellent communication skills; ability to explain complex technical concepts to non- technical stakeholders
• Hands-on experience in experiment design and model valuation
• Expertise with ML system design, model deployment, and production ML systems
• Experience in engineering production-grade GenAI features with robust validation, sanity checks, and structured outputs to mitigate hallucination and business risk
• Proficiency with AWS stack related to ML (e.g. Sagemaker, Lambda, Stepfunctions, IAM)
• Strong software engineering fundamentals and best practices (CICD, Test-Driven Development, Infrastructure as Code)
• Experience translating business objectives into technical roadmaps and deliverables
• Ability to balance technical excellence with business priorities and timelines
• Strong stakeholder management and cross-functional collaboration skills

Nice to have 

Experience in subrogation, claims processing, insurance or financial technology

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 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

• Deliver best-in-industry models for detection of subrogation opportunities using the latest ML advancements and best software engineering practices
• Meet and collaborate with business stakeholders (customers, sales and product managers) to drive the development of new models and features based on
• Collaborate with data engineering and software engineering team to ensure a smooth flow of data across teams and APIs related to outbound subrogation
• Mentor junior ML engineers in the outbound subro team to form a high-performing team

What You Bring

•  Deep understanding of ML lifecycle: development, evaluation, deployment, monitoring, and iteration
• Excellent communication skills; ability to explain complex technical concepts to non- technical stakeholders
• Hands-on experience in experiment design and model valuation
• Expertise with ML system design, model deployment, and production ML systems
• Experience in engineering production-grade GenAI features with robust validation, sanity checks, and structured outputs to mitigate hallucination and business risk
• Proficiency with AWS stack related to ML (e.g. Sagemaker, Lambda, Stepfunctions, IAM)
• Strong software engineering fundamentals and best practices (CICD, Test-Driven Development, Infrastructure as Code)
• Experience translating business objectives into technical roadmaps and deliverables
• Ability to balance technical excellence with business priorities and timelines
• Strong stakeholder management and cross-functional collaboration skills

Nice to have 

Experience in subrogation, claims processing, insurance or financial technology

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 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

• Deliver best-in-industry models for detection of subrogation opportunities using the latest ML advancements and best software engineering practices
• Meet and collaborate with business stakeholders (customers, sales and product managers) to drive the development of new models and features based on
• Collaborate with data engineering and software engineering team to ensure a smooth flow of data across teams and APIs related to outbound subrogation
• Mentor junior ML engineers in the outbound subro team to form a high-performing team

What You Bring

•  Deep understanding of ML lifecycle: development, evaluation, deployment, monitoring, and iteration
• Excellent communication skills; ability to explain complex technical concepts to non- technical stakeholders
• Hands-on experience in experiment design and model valuation
• Expertise with ML system design, model deployment, and production ML systems
• Experience in engineering production-grade GenAI features with robust validation, sanity checks, and structured outputs to mitigate hallucination and business risk
• Proficiency with AWS stack related to ML (e.g. Sagemaker, Lambda, Stepfunctions, IAM)
• Strong software engineering fundamentals and best practices (CICD, Test-Driven Development, Infrastructure as Code)
• Experience translating business objectives into technical roadmaps and deliverables
• Ability to balance technical excellence with business priorities and timelines
• Strong stakeholder management and cross-functional collaboration skills

Nice to have 

Experience in subrogation, claims processing, insurance or financial technology

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/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.

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.

Why job seekers choose Geotab:

Salary Range: PLN 350,700 - 474,400 + Benefits + Equity

Subject to alignment to the responsibilities and duties of the role.

About Graphcore

At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary 
We are seeking a Data Scientist / Data Analyst to transform large-scale infrastructure and hardware-level telemetry into actionable insights, predictive intelligence, and automated decision systems.

Working closely with telemetry platform engineers, you will analyze data across the full stack - from data center infrastructure down to chip-level signals (power, thermals, performance counters, reliability indicators) to detect anomalies, predict failures, and optimize system behaviour. This role complements telemetry engineering by extracting intelligence from observability systems and enabling data-driven control loops.

You will operate at the intersection of data science, distributed systems, and infrastructure observability.

Key Responsibilities

Data Analysis & Modelling

• Analyse large-scale telemetry datasets (metrics, logs, events) across multiple layers: data center (clusters, networking, cooling), system (servers, accelerators), silicon-level (on-chip sensors, performance counters, voltage, thermal, error signals).
• Develop anomaly detection models for infrastructure-level events and hardware/silicon anomalies (e.g., thermal hotspots, voltage instability, error rate drift).
• Build predictive models for fault detection and failure forecasting (e.g., hardware degradation, thermal issues, network anomalies). 
• Apply statistical and machine learning techniques to identify patterns and root causes. 

Automation & Intelligence

• Design automated remediation strategies informed by both system and hardware-level signals.
• Collaborate with engineering teams to integrate models into observability and control systems.
• Enable closed-loop optimization using real-time hardware telemetry streams. 

Data Engineering Collaboration

• Work with telemetry engineers on data ingestion pipelines, ensuring data quality and usability.
• Help define schemas, feature extraction pipelines, and aggregation strategies (e.g., down-sampling, windowing).
• Optimize use of time-series databases and analytics platforms. 

Visualization & Reporting

• Build dashboards and visualizations for operational insights (Grafana, Superset, etc.). 
• Present complex data in clear, actionable formats for engineering and leadership. 
• Define KPIs and health metrics for infrastructure systems. 

Cross-Functional Collaboration

• Partner with platform, hardware, and software teams to understand system behaviour. 
• Support debugging, performance analysis, and benchmarking efforts using telemetry data. 
• Contribute to reference designs and best practices for observability and analytics.

Skills and Experience 

Essential:

• BSc/MSc/PhD in Data Science, Computer Science, Statistics, or related field.
• Strong experience with time-series data analysis and large-scale telemetry datasets.
• Proficiency in Python (NumPy, Pandas, SciPy, ML frameworks).
• Experience with:
  • Anomaly detection techniques (statistical + ML-based)
  • Predictive modeling and forecasting
  • Signal processing techniques (filtering, smoothing, FFT or similar is a plus)
  • Data visualization tools (e.g., Grafana, Tableau, Plotly)
• Familiarity with:
  • Time-series databases (e.g., Prometheus, InfluxDB)
  • Observability stacks and monitoring systems
• Strong understanding of data pipelines and distributed systems.
• Excellent communication skills - ability to translate data insights into engineering actions.

Desirable:

• Experience with data center infrastructure, hardware telemetry and cloud platforms.
• Knowledge of monitoring, observability and management solutions in use by hyperscalers.
• Familiarity with root cause analysis in distributed systems.
• Experience deploying models into production.
• Understanding of system architecture (CPU/GPU/accelerators, networking) .
• Experience with real-time analytics frameworks (Kafka, Flink, Spark).

Benefits

In addition to a competitive salary, annual leave policy, medical and dental health plans, a gym card and employee pension (matched up to 4%). We review our benefits on a yearly basis to ensure we offer a valuable and rewarding benefits programme to our employees.  We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Sponsorship

Applicants for this position must hold the right to work in the Poland. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.

Salary Range: PLN 350,700- 474,400

Subject to alignment to the responsibilities and duties of the role.

About Graphcore

At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary 

As a Senior Cloud Software Engineer, you will lead the efforts in enabling new AI accelerator HW within Kubernetes environments. You will be responsible for the design, development, and maintenance of applications in Go, ensuring seamless integration of a new AI accelerator with existing Kubernetes clusters, and providing a native Kubernetes end user experience. This role requires extensive experience in software development, container orchestration technologies and cloud computing.

Responsibilities and Duties

• Lead the design and development of applications in Go for the new AI accelerator integration in Kubernetes.
• Ensure seamless integration of the new hardware with existing Kubernetes clusters.
• Mentor and guide junior engineers, fostering a culture of continuous learning and improvement.
• Collaborate with cross-functional teams to design, implement, and test new features.
• Conduct thorough code reviews and provide constructive feedback to team members.
• Troubleshoot and resolve complex technical issues.
• If necessary, engage with the Kubernetes community, contributing to discussions, forums, and open-source projects.
• Write and maintain comprehensive documentation for your code and the overall project.
• Stay up-to-date with the latest trends and technologies in Kubernetes and cloud computing.

Skills and Experience 

Essential Qualifications: 

• Bachelor’s degree in Computer Science, Engineering, or a related field or equivalent experience. 
• At least 10 years of experience in software development, ideally with a focus on cloud environments.
• Proficiency in Go programming.
• Extensive experience with Kubernetes is essential, with a preference for candidates holding a Certified Kubernetes Administrator (CKA) and Certified Kubernetes Security Specialist (CKS) certifications. 
• Strong understanding of container orchestration and cloud-native development.
• Excellent problem-solving skills and attention to detail.
• Proven track record of achieving goals while implementing complex technical solutions.
• Strong grasp of Linux-based operating systems.
• Proven leadership and mentoring skills.
• Strong communication and teamwork skills.
• English- C1 level.

Preferred Qualification:

• Familiarity with machine learning-related technologies within the Kubernetes ecosystem e.g. Kubeflow, KubeVirt, Kata containers, Volcano is highly desirable.
• Knowledge of RDMA networks is considered an asset. 
• Familiarity with other workload managers, such as Ray and SLURM, is considered an asset.
• Knowledge of cloud computing platforms such as Azure, GCP, AWS and their services.
• Experience with CI/CD pipelines and DevOps tools e.g. GitHub/GitLab.

Benefits

In addition to a competitive salary, annual leave policy, medical and dental health plans, a gym card and employee pension (matched up to 4%). We review our benefits on a yearly basis to ensure we offer a valuable and rewarding benefits programme to our employees.  We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Salary Range: PLN 350,700- 474,400

Subject to alignment to the responsibilities and duties of the role.

About Graphcore

At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

About the Role

Graphcore is building the software that powers a new era of high-performance AI compute. As a Senior Kubernetes Software Engineer, you’ll develop Go services that integrate our accelerator hardware into Kubernetes clusters—making AI compute effortless, scalable, and K8s native.

This is a hands-on engineering role where you will own SW components and  work at the intersection of software, hardware and cloud platforms.

What You’ll Do

• Develop production-grade Go services that expose our accelerator capabilities to end users.

• Build CRDs, operators and other Kubernetes components to provide a seamless experience for ML and platform teams.

• Ensure reliability, performance, and scalability of Kubernetes-based AI-compute infrastructure.

• Partner with cross-functional teams (hardware, cloud, ML) on architecture, design, and feature roadmaps.

• Drive improvements in code quality, observability, automation and developer experience.

You’re a Great Fit If You Have

• Strong Go programming experience.

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience, with at least 10 years of software development experience. 

• Deep knowledge of Kubernetes architecture. 

• Solid Linux understanding and cloud-native mindset.

• Ability to lead technical initiatives and mentor other engineers.

• English- C1 level.

Bonus Skills

• Familiarity with machine learning-related technologies within the Kubernetes ecosystem e.g. Kubeflow, Karmada, Kueue, KubeVirt, Kata containers, Volcano is highly desirable.

• Knowledge of RDMA networks is considered an asset. 

• Familiarity with other workload managers, such as Ray and SLURM, is considered an asset.

What We Offer

• Work on technologies that push the boundaries of AI.

• Opportunities to influence design decisions.

• A high-impact role in a deeply technical, fast-moving environment.

• Alongside a competitive salary, we offer a well-rounded benefits package designed to support your health, happiness and work–life balance. This includes generous annual leave, medical and dental plans, a gym card, and a pension scheme with up to 4% employer match. We regularly review our benefits to ensure they continue to meet the needs of our team.

Senior: PLN 260,400 - 352,200
Staff: PLN 350,700 - 474,400
Subject to alignment to the responsibilities and duties of the role - we currently have multiple positions available at both Senior and Staff level

About Graphcore 

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.

To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.

We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence

Job Summary

As a Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Working closely with the Software development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. We seek engineers with strong technical skills and an understanding of AI model implementation at scale, eager to make a tangible impact in this rapidly evolving field.

The Team

The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications.

If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you!

Responsibilities and Duties

• Implement latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators.
• Test and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews.
• Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency.
• Design and conduct experiments on novel AI methods, implement them and evaluate results.
• Collaborate with Research, Software, and Product teams to define, build, and test Graphcore’s next generation of AI hardware.
• Engage with AI community and keep in touch with the latest developments in AI.

Candidate Profile

Essential:

• Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field.
• Proficiency in deep learning frameworks like PyTorch/JAX.
• Strong Python or C++ software development skills
• Expertise in deep learning from model training to optimisation and evaluation.
• Experience in distributed training or inference of ML models across 64+ accelerators.
• Capable of designing, executing and reporting from ML experiments.
• Developed deep understanding of performance bottlenecks and how to overcome them.
• Ability to move quickly in a dynamic environment
• Enjoy cross-functional work collaborating with other teams.
• Strong communicator - able to explain complex technical concepts to different audiences.

Desirable:

• Experience in one or more of:
  • MLOps for Kubernetes-based clusters
  • Building production systems with large language models
  • Efficient computing based on low-precision arithmetic.
• Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models.
• Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies.
• Have contributed to open-source projects or published research papers in relevant fields.
• Knowledge of cloud computing platforms.
• Keen to present, publish and deliver talks in the AI community.

Benefits

In addition to a competitive salary, Graphcore offers annual leave policy, medical and dental health plans, a gym card, and employee pension (matched up to 4%). We review our benefits on a yearly basis to ensure we offer a valuable and rewarding benefits programme to our employees. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Salary Range: PLN 303,800 - 411,000

Subject to alignment to the responsibilities and duties of the role

About Graphcore 

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.

To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.

We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence

Job Summary 

As a Senior Software Engineer in the Collectives Simulator team, you will drive the design and development of a large-scale collective communication simulator that enables the analysis of network parameters and the efficient implementation of communication algorithms. The ideal candidate will have experience in designing, developing, and maintaining complex software systems involving custom hardware. You will be responsible for leading development efforts, mentoring junior engineers, and driving technical excellence in our projects.

The Team 

The Collectives Simulator team is responsible for building large-scale collective communication simulator for new AI hardware Graphcore is working on. The simulator allows users to in depth analyse communication algorithms in various network topologies.

Responsibilities and Duties

• Designing, implementing, testing and documenting Collectives Simulator for new AI hardware
• Collaborating with other teams to design, implement and test new features
• Troubleshooting and resolving complex technical issues
• Ensuring seamless integration of new hardware with existing AI ecosystem
• Participating in agile development – working as part of a scrum team 
  
  

Candidate Profile 

Essential:

• Extensive experience in software development using C++ programming language
• Experience with Python and C programming 
• Excellent problem-solving skills and ability to debug and resolve complex issues
• Strong knowledge of multithreading and inter-process communication (IPC) techniques for development of efficient concurrent applications
• Experience with unit testing frameworks such as Boost.Test and Google Test
• Proficiency with build tools such as CMake, Make and Ninja 
• Strong understanding of version control systems (preferred Git)
• Ability to work within a multinational team and with multinational customers
• Excellent written and verbal communication skills

Desirable

• Experience in development of SW simulators
• Experience with RDMA networking libraries (for example libibverbs, libfabric)
• Knowledge of multithreading and parallel computing concepts, including experience with parallel algorithms and optimization for AI/ML and HPC systems
• Experience with Continuous Integration/Continuous Delivery (CI/CD) pipelines, including setting up automated workflows and deployments (for example GitHub Actions, GitLab CI)
• Experience with communication libraries (for example NCCL, MPI)
• Knowledge of machine learning frameworks (for example PyTorch)
• Knowledge of modern C++ standards 17/20

Benefits

In addition to a competitive salary, Graphcore offers annual leave policy, medical and dental health plans, a gym card, and employee pension (matched up to 4%). We review our benefits on a yearly basis to ensure we offer a valuable and rewarding benefits programme to our employees. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Salary Range: PLN 350,700 - 474,400 + Benefits + Equity

Subject to alignment to the responsibilities and duties of the role.

About Graphcore

At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

We decide whether entire racks of machines are good enough to enter production. Our team builds and runs measurements on large-scale Linux clusters—from a single rack up to datacentre-scale systems. We use these measurements to determine system performance, reliability, and whether a system can be trusted in production.

You will work across:

• Designing and running measurements on distributed systems
• Analysing performance and reliability results
• Improving systems that execute measurements at scale

Typical work includes:

• Running measurements on large-scale Linux clusters (rack-level and beyond)
• Using and extending tools such as pytest for measurement execution
• Measuring compute, network, and ML workload performance
• Analysing variability and repeatability of results

Engineers in this team are not limited to a single area. You may work on infrastructure, workloads, or analysis depending on the problem. You are free to specialise, but the team is responsible for ensuring complete coverage. This role is not purely infrastructure or data analysis. It combines systems engineering, measurement, and interpretation.

We are looking for engineers who:

• Are comfortable working with distributed systems at scale
• Can reason about performance and reliability
• Prefer clear, evidence-based conclusions over assumptions

Selection criteria:

Our engineers typically bring significant practical experience and sound engineering judgement. Depth in one area is valued, but the ability to work across boundaries is equally important.

Essential

• Strong software engineering experience, typically gained across multiple projects or systems over several years
• Experience working in Linux-based environments, ideally with distributed or high-performance systems
• Proficiency in Python
• Experience with automation and CI/CD systems (e.g. GitLab CI, Jenkins, GitHub Actions)
• Ability to design, implement, and run experiments or tests that produce meaningful results
• Ability to interpret results and communicate findings clearly, with an emphasis on accuracy and usefulness to decision-making
• Comfortable working in areas where requirements are not fully defined and judgement is required

Desirable

• Experience working with large-scale or distributed systems (e.g. clusters, cloud
• platforms, HPC environments)
• Experience with performance, reliability, or systems-level testing/measurement
• Familiarity with pytest or similar frameworks for structured test/measurement execution
• Experience analysing system behaviour under load (compute, network, or ML workloads)
• Experience working with containerisation, orchestration, or provisioning systems (e.g. Docker, Kubernetes, OpenStack)
• Proficiency in other applications programming languages (e.g. C++)
• Exposure to data analysis, statistics, or interpreting variability in results

Benefits

In addition to a competitive salary, annual leave policy, medical and dental health plans, a gym card and employee pension (matched up to 4%). We review our benefits on a yearly basis to ensure we offer a valuable and rewarding benefits programme to our employees.  We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Sponsorship

Applicants for this position must hold the right to work in the Poland. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.

Salary Range: PLN 350,700 - 474,400 + Benefits + Equity

Subject to alignment to the responsibilities and duties of the role.

About Graphcore

At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

We turn measurements from large-scale systems into engineering decisions. Our team runs workloads on Linux clusters (from rack scale upwards) and collects detailed performance and reliability data. The key challenge is interpreting these results correctly and deciding whether a system is ready for production.

You will work on:

• Analysing results from measurements of distributed systems
• Understanding performance variability and repeatability
• Defining what “normal” and “acceptable” system behaviour looks like

Typical work includes:

• Working with measurement data from compute, network, and ML workloads
• Analysing results produced by automated test frameworks (e.g. pytest-based systems)
• Comparing results across runs, configurations, and system scales
• Helping define thresholds for pass/fail decisions

You may also:

• Influence how measurements are designed to produce better data
• Improve how results are stored, queried, and interpreted

This is not a traditional data analysis or BI role. The focus is on understanding system behaviour and supporting engineering decisions.

We are looking for engineers who:

• Are comfortable working with real-world, imperfect data
• Can reason about distributed systems performance
• Focus on evidence and correctness rather than presentation

Selection criteria:

Our engineers typically bring significant practical experience and sound engineering judgement. Depth in one area is valued, but the ability to work across boundaries is equally important.

Essential

• Strong software engineering experience, typically gained across multiple projects or systems over several years
• Experience working in Linux-based environments, ideally with distributed or high-performance systems
• Proficiency in Python
• Experience with automation and CI/CD systems (e.g. GitLab CI, Jenkins, GitHub Actions)
• Ability to design, implement, and run experiments or tests that produce meaningful results
• Ability to interpret results and communicate findings clearly, with an emphasis on accuracy and usefulness to decision-making
• Comfortable working in areas where requirements are not fully defined and judgement is required

Desirable

• Experience working with large-scale or distributed systems (e.g. clusters, cloud platforms, HPC environments)
• Experience with performance, reliability, or systems-level testing/measurement
• Familiarity with pytest or similar frameworks for structured test/measurement execution
• Experience analysing system behaviour under load(compute, network, or ML workloads)
• Experience working with containerisation, orchestration, or provisioning systems (e.g. Docker, Kubernetes, OpenStack)
• Proficiency in other applications programming languages (e.g. C++)
• Exposure to data analysis, statistics, or interpreting variability in results

Benefits

In addition to a competitive salary, annual leave policy, medical and dental health plans, a gym card and employee pension (matched up to 4%). We review our benefits on a yearly basis to ensure we offer a valuable and rewarding benefits programme to our employees.  We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Sponsorship

Applicants for this position must hold the right to work in the Poland. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.

Salary Range: PLN 225,400 - 305,000

Subject to alignment to the responsibilities and duties of the role

About Graphcore 

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.

To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.

We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence

Job Summary 

As a Software Engineer in the Collectives Team, you will join the effort of developing the Collectives Communication Library which enables users to utilize large computing clusters. The ideal candidate will have experience in designing, developing, and maintaining complex software systems involving custom hardware.

The Team 

The Collectives team is responsible for building the Collectives Communication library for new AI hardware Graphcore is working on. The library provides communication primitives optimized to achieve high bandwidth and low latency at very high scale.

Responsibilities and Duties

• Implementing, testing and documenting Collectives Communication Library for new AI hardware accelerator
• Collaborating with other teams to design, implement and test new features
• Troubleshooting and resolving complex technical issues
• Ensuring seamless integration of new hardware with existing AI ecosystem
• Participating in agile development – working as part of a scrum team 
  
  

Candidate Profile 

Essential:

• Experience in software development using C++ programming language
• Experience with Python and C programming 
• Good problem-solving skills and ability to debug and resolve complex issues
• Experience with unit testing frameworks such as Boost.Test and Google Test
• Experience with build tools such as CMake, Make and Ninja 
• Strong understanding of version control systems (preferred Git)

Desirable

• Experience with RDMA networking libraries (for example libibverbs, libfabric)
• Knowledge of multithreading and parallel computing concepts, including experience with parallel algorithms and optimization for AI/ML and HPC systems
• Knowledge of multithreading and inter-process communication (IPC) techniques for development of efficient concurrent applications
• Experience with Continuous Integration/Continuous Delivery (CI/CD) pipelines, including setting up automated workflows and deployments (for example GitHub Actions, GitLab CI)
• Experience with communication libraries (for example NCCL, MPI)
• Knowledge of machine learning frameworks (for example PyTorch)
• Knowledge of modern C++ standards 17/20

Benefits

In addition to a competitive salary, Graphcore offers annual leave policy, medical and dental health plans, a gym card, and employee pension (matched up to 4%). We review our benefits on a yearly basis to ensure we offer a valuable and rewarding benefits programme to our employees. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

This role is within the Technology Data and Intelligence (TDI) team, focused on building secure, scalable, and innovative systems that boost internal efficiency. We are seeking a motivated Software Engineer to join our CPQ unit to scale business solutions and maintain our critical sales technology stack. You will be responsible for translating business requirements into high-quality technical solutions while ensuring system reliability through automated testing and continuous deployment support.

Key Responsibilities

• Technical Implementation: Translate user stories and business requirements into well-designed, scalable, and secure technical solutions. You will primarily leverage the Salesforce platform, focusing on the Sales Cloud and CPQ domains.
• Code Quality & Collaboration: Participate actively in Pull Request (PR) reviews to maintain overall code quality and consistency. Work closely with cross-functional teams, including business stakeholders, analysts, and other engineers, to drive projects from concept to production.
• Testing & Reliability: Write comprehensive unit tests for all new logic to ensure high code coverage, and contribute to the growth of our automated test regression suite.
• Deployment Support: Assist with the deployment cycle, which includes documenting changes, performing validation, and resolving environment-specific issues.

Required Qualifications

• Salesforce Development Expertise (3+ years): Solid experience with Salesforce development, including proficiency in Apex, Process/Flow Automations, and Lightning Web Components (LWC).
• Software Development Fundamentals (1+ years): A strong foundation in general software engineering principles, with experience in languages like Java, Python, or JavaScript.
• Domain Knowledge: Foundational understanding of Sales Cloud and Configure, Price, Quote (CPQ) or related domains.
• DevOps/CI/CD: Familiarity with continuous integration and continuous deployment (CI/CD) pipelines, such as Jenkins and Salesforce DX (SFDX).
• Security Focus: Understanding of Salesforce security features and best practices for developing secure and reliable solutions.
• Soft Skills: Strong communication, problem-solving, and a clear eagerness to learn and collaborate with a team.
• Global Collaboration & Ownership: Demonstrated strong ownership and the ability to communicate effectively and collaborate seamlessly with cross-functional, global teams and stakeholders.

Preferred Qualifications (Extra Credit)

• Salesforce certifications (e.g., Platform Developer I, CPQ Administrator).
• Demonstrated interest in learning about Salesforce DevOps practices.
• Experience with modern AI agent frameworks, orchestration techniques, or Retrieval-Augmented Generation (RAG) pipelines.

P24734_3380784

#LI-Hybrid

#LI-JB2

Okta is seeking an experienced Senior Adobe Experience Cloud Engineer with a deep understanding of Adobe’s tech stack to join our growing team.The position will play a crucial role in designing, developing, and maintaining solutions that leverage Adobe technologies to meet the unique business needs of our business partners. You must be collaborative and able to build trusted partnerships with extended teams. A successful candidate will have the ability to balance priorities and collaborate with cross functional teams while delivering within an agile delivery framework and supervising key performance indicators.

Responsibilities

• Solution Design & Development: Lead the development and implementation of custom solutions and integrations within Adobe Experience Cloud, including Adobe Experience Cloud solutions, including Content Management, Assets, Multi-Site-Management, and Cloud manager
• Architecture & Scalability: Architect and build scalable, high-performance systems and applications that meet business requirements and technical specifications.
• Integration & Optimization: Develop and maintain integrations between Adobe Experience Cloud products and other internal or third-party systems. Optimize existing systems for performance and reliability.
• Collaboration: Work closely with product managers, solution architects, and other stakeholders to gather requirements, define project scopes, and deliver high-quality software solutions.
• Agile Development: Participate in agile development processes, including sprint planning, daily stand-ups, and retrospectives. Contribute to continuous improvement efforts and drive innovation.
• Support & Troubleshooting: Provide technical support for deployed solutions, troubleshoot issues, and ensure timely resolution of any software defects or performance problems.
• Documentation: Maintain comprehensive documentation for software design, development processes, and system configurations.

Qualifications

• BS Computer Science or other technical degree. 3+ years of related overall technology experience
• Experience in Adobe Experience Manager (required)
• Expertise in core web technologies including XML, HTML5, CSS, client/server-side-scripting languages such as JavaScript preferably using SPA (Single page application) and web services development using RESTful implementations.
• Proficient in Day CQ / Adobe AEM foundational concepts, including the use of core frameworks such as Apache Sling and Apache Felix, a solid understanding of all of the related building blocks including templates, components, dialogs, widgets, etc., and the Adobe AEM development and deployment process.
• Good understanding of Adobe AEM WCM capabilities including Multi-site manager and Blueprinting, and the use of online marketing components such as advanced targeting / personalization, and multivariate testing, is preferred.
• Proficient knowledge of the end-to-end content lifecycle, web content management, content publishing / deployment, and delivery processes.
• Good understanding of integration patterns and content-centric application development patterns using Adobe AEM with or without a Portal, Search, Commerce package or other platforms, is preferred.
• Strong understanding of SDLC methodologies (Agile, SCRUM)
• Experience in at least one: Adobe - Analytics, Campaign, Commerce, Marketo Engage, Target or equivalent technologies is a plus
• Highly self-directed; able to multi-task given incomplete and conflicting knowledge, and prioritize multiple projects/initiatives in a deadline-driven environment
• Strong interpersonal skills, a positive attitude and the ability to thrive in a collaborative agency environment with multidisciplinary teams required.

(P19564_3365522)

• #LI-Hybrid
• #LI-JB2