Engineering Manager | Growth and Transformation

🏢 Summary: Senior Software Engineer role on an Engineering Platform team building and operating cloud-native platform services and developer tooling. The position focuses on .NET, Azure, infrastructure automation, CI/CD, observability, and scalable developer platforms, with opportunities to embed AI/ML into engineering workflows. 🗂️ Requirements: 5+ years of software development experience, Strong C# and .NET expertise, Hands-on Azure and cloud-native application experience, Infrastructure as Code experience, CI/CD and DevOps pipeline experience, Container and orchestration tool experience, Agile, cross-functional collaboration experience, Strong problem-solving, communication, and mentorship skills 📃 Skills: C#, .NET, Azure, Terraform, Bicep, ARM, CI/CD, DevOps, Docker, Kubernetes, AKS, IaC 🏢 Description: Posting Type Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high-stakes legal work where accuracy and trust are crucial. The world’s largest law firms, corporations, and government agencies rely on Relativity’s legal AI software to securely surface and manage the most relevant and impactful information in their matters. Beyond our commercial impact, we are committed to expanding access to technology and supporting pro bono legal work. WHAT WE DO At Relativity, engineers do more than write code - they build systems that enable users to uncover insights from complex data at scale using cloud-native architecture, AI, and modern tools. ABOUT THE ROLE We are looking for a Senior Software Engineer to join our Engineering Platform team, where you will help build the cloud-native backbone that powers Relativity’s development ecosystem. You will work on high-impact initiatives that shape how our engineers build, test, deploy, and scale software—driving technical excellence across the company. As part of a growing and financially stable organization, you will contribute in a dynamic, fast-moving environment that values autonomy, ownership, and practical action over excessive process. Platform engineers are trusted to solve complex problems at scale and empowered to make decisions that improve the day-to-day experience of developers. Job Description and Requirements WHAT YOU’LL DO Design, build, and operate scalable, secure, and reliable platform services and developer tooling using .NET and Microsoft Azure Lead the development of Infrastructure as Code (IaC) components to automate and standardize cloud infrastructure Drive adoption of DevOps practices and CI/CD automation across engineering teams Collaborate with internal stakeholders to build reusable capabilities that improve development speed and consistency Integrate observability, performance monitoring, and self-service tooling into the platform ecosystem Mentor and support engineers through code reviews, technical discussions, and knowledge sharing Proactively identify improvement areas, experiment with solutions, and deliver results with a bias toward action Contribute to initiatives that embed AI/ML into platform services and developer workflows WHAT WE’RE LOOKING FOR Required 5+ years of software development experience with strong expertise in C# and the .NET ecosystem Deep hands-on experience with Azure services and cloud-native application patterns Proficiency with Infrastructure as Code tools such as Terraform, Bicep, or ARM templates Experience building or supporting CI/CD systems and modern DevOps pipelines Familiarity with containers and orchestration tools such as Docker, Kubernetes, or AKS Demonstrated success working in Agile teams and collaborating cross-functionally Strong problem-solving, communication, and mentorship skills Preferred Exposure to AI/ML tools or interest in applying AI to platform and engineering challenges WHY WE COULD BE A GREAT FIT Impactful Mission Build systems that help customers organize data, discover the truth, and act on it in high-stakes legal matters. Engineering at Scale Work on distributed, cloud-native systems that process large volumes of data. Cutting-Edge Technology Build with AI, cloud platforms, and scalable architectures shaping legal tech. Growth and Ownership Gain experience owning systems end-to-end across cloud and distributed environments. Collaborative Culture Work in a team focused on knowledge sharing and continuous improvement. Inclusive Environment Diverse perspectives create stronger teams and better outcomes. Compensation and Benefits Competitive salary, benefits, DTO, parental leave, and equity program. Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: 208 000 and 312 000PLN The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Automation, Data Analysis, Database Management, Network Architecture, Performance Optimizations, Problem Solving, Project Management, Software Development, System Designs, Technical Leadership

🏢 Summary: Lead and grow a Forward Deployed Engineering team delivering production-quality AI integrations, reference architectures, and proofs of concept for an AI cloud platform. The role combines people leadership, technical architecture oversight, partner engagement, and hands-on prototyping across agentic AI, inference, infrastructure, and data systems. 🗂️ Requirements: 8+ years of hands-on AI application, ML systems, or AI infrastructure engineering experience, 2+ years of engineering team leadership or management experience, Deep practical knowledge of LLM APIs, inference runtimes, orchestration frameworks, vector databases, RAG architectures, and agentic pipelines, Hands-on experience with agentic frameworks, Strong Python programming and end-to-end AI prototyping skills, Experience defining reference architectures and technical patterns, Experience building API and developer-platform integrations, Ability to work with external partner engineering teams and internal product and engineering teams, Strong technical communication skills, Authorization to work in the country of application 📃 Skills: Python, LangChain, LangGraph, CrewAI, AutoGen, LLM, RAG, FastAPI, Flask, Docker, Kubernetes, Git, AWS, GCP, Azure, vLLM, SGLang, TensorRT-LLM, Transformers, Qdrant, Weaviate, Milvus, pgvector, CUDA, TensorRT, NeMo 🏢 Description: About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About Nebius Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius builds the infrastructure serious AI teams run on - GPU clusters, inference runtimes, agent development environments, data pipelines - all of it purpose-built for the most demanding AI workloads. What we are now building is the ecosystem function that ensures the best AI companies choose to build on us, integrate with us, and stay. As Manager of Forward Deployed Engineering, you will lead a team of FDEs who sit at the intersection of solution architecture and hands-on engineering. You will set the technical bar, develop your team's craft, and ensure the work your team ships - integrations, reference architectures, and proofs of concept - is production-quality and strategically sound. You will also stay technically engaged: reviewing architectures, unblocking hard scoping problems, and occasionally prototyping yourself when the situation calls for it. You're welcome to work remotely in the United States. Your Responsibilities Will Include People & Team Leadership Hire, develop, and retain a team of Forward Deployed Engineers across ecosystem focus areas: agentic, inference, infrastructure, and data. Set clear expectations for technical quality and partner engagement; coach engineers toward those standards. Run structured 1:1s, provide direct and actionable feedback, and own the growth of each person on your team. Build a team culture where moving fast and building well are not in tension. Partner with Recruiting to define what great looks like for FDE roles and actively source candidates from the AI builder community. Technical Oversight & Architecture Review and elevate the technical work your team produces - integration architectures, proofs of concept, reference patterns, and partner scoping assessments. Serve as a technical escalation point for complex partner engagements; step in hands-on when needed. Maintain a high bar for what goes into the reference architecture library - not just what works, but what should be emulated. Stay current with the AI tooling ecosystem so you can guide your team's technical judgment, not just their output. Ecosystem Presence Represent Nebius at hackathons, in open source communities, and at technical events. Build in public - demos, reference architectures, and integrations that establish Nebius as the platform serious AI builders choose. Stay current with the AI tooling ecosystem - you know what shipped last week and what it means for our stack. Platform focus areas Depending on your background and mutual fit, you will focus on one or more of the following: Agentic - agent frameworks, memory systems, tool integration, orchestration, MCP, and guardrails Managed Inference - inference runtimes, model serving, optimization tooling, speculative decoding, and KV-cache routing IaaS / Managed Infrastructure - cloud-native integrations, GPU orchestration, and enterprise platform connectors Data - vector databases, retrieval systems, RAG architectures, data pipeline integrations, and synthetic data tooling Partner & Internal Stakeholder Engagement Engage directly with senior partner engineering leaders and founding CTOs; your team handles the working level, and you handle the strategic level. Translate what your team is seeing in the field into actionable product requirements for Nebius platform teams. Represent the FDE function in platform planning discussions as the technical voice of ecosystem integration. Work with ISV, SI, and field teams to scale solution adoption and drive revenue once integrations are ready. We expect you to have 8+ years of hands-on engineering experience in AI application development, ML systems, or AI infrastructure. 2+ years managing or leading a team of engineers, with a track record of developing technical talent. Deep working knowledge of the AI developer stack - LLM APIs, inference runtimes, orchestration frameworks, vector databases, RAG architectures, and agentic pipelines - built through shipping, not reading. Hands-on experience with agentic frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or equivalent. Strong Python programming skills and comfort prototyping end-to-end AI systems quickly. Experience defining reference architectures and technical patterns - not just implementing them. Proven ability to move from idea to working prototype fast - you have shipped meaningful things under time pressure and found it energizing. Experience building integrations across APIs and developer platforms - you understand where the complexity actually lives. Comfort working across external partner engineering teams and internal Nebius Product and Engineering teams simultaneously. Strong technical communication - you can explain architecture decisions and integration findings to a founding CTO and a non-technical partner lead in the same day. It will be an added bonus if you have Experience with inference frameworks and optimization: vLLM, SGLang, TensorRT-LLM, speculative decoding, quantization, batching, and KV-cache routing. Familiarity with NVIDIA's software stack: CUDA, TensorRT, NeMo, or equivalent. Experience with multimodal AI models - vision-language, speech, or structured data. Won or placed at major AI hackathons in the past 12 months. Worked as a developer advocate, solutions engineer, or technical partner manager at a leading AI platform or developer tooling company. Been an early engineer at a YC-backed AI startup - you built the product under real constraints. Open source projects or public demos with meaningful community adoption. Proficiency with DevOps tools: Docker, Kubernetes, and Git. Preferred Technical Stack Languages - Python ML frameworks - vLLM, SGLang, TensorRT-LLM, Transformers, and OpenAI / Anthropic SDKs Agentic frameworks - LangChain, LangGraph, CrewAI, AutoGen, smolagents, or equivalent Vector databases - Qdrant, Weaviate, Milvus, and pgvector API and web frameworks - FastAPI and Flask DevOps - Kubernetes, Docker, and Git Cloud platforms - AWS, GCP, and Azure Key Employee Benefits Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) Plan: Up to 4% company match with immediate vesting. Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote Work Reimbursement: Up to $85/month for mobile and internet. Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Starting Base Compensation Range: $225,800 - $281,000 USD Benefits & Perks Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $225—$280 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's It Like To Work At Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

🏢 Summary: Lead and scale a Forward Deployed Engineering organization that helps AI companies deploy and succeed on a cloud AI platform. The role combines engineering leadership, AI platform architecture, ecosystem partnerships, and product strategy, with responsibility for converting partner insights into reusable platform improvements. 🗂️ Requirements: 12–18+ years in engineering, solutions architecture, customer engineering, field engineering, or Forward Deployed Engineering, 3–7+ years leading technical field organizations, Experience building or significantly scaling a technical field organization, Track record hiring, coaching, and scaling Customer Engineering, FDE, Solutions Architecture, or Field CTO teams, Hands-on engineering background in cloud, infrastructure, AI, or developer platforms, Ability to review architectures across AI applications, inference, infrastructure, and data platforms, Experience turning customer and partner feedback into shipped platform improvements, Executive-level technical advisory experience with founders, CTOs, and enterprise leaders, Experience working across cloud providers, AI platforms, ISVs, open-source communities, and technology partners, Authorization to work in the country of application 📃 Skills: AI, Cloud, Infrastructure, Inference, Data, Architecture, ISVs, Open-source 🏢 Description: About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About Nebius Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius builds the infrastructure serious AI teams run on - GPU clusters, inference runtimes, agent development environments, data pipelines - all of it purpose-built for the most demanding AI workloads. What we are now building is the ecosystem function that ensures the world's best AI companies are successful on Nebius. As Director of Forward Deployed Engineering, you will build and scale the organization that makes those companies successful on our platform. You will recruit exceptional FDEs, establish the operating model, ensure technical excellence, and turn partner engagements into product improvements and reusable platform assets. This is not a Sales Engineering leader, Professional Services manager, or traditional Engineering manager role. It sits at the intersection of engineering leadership, AI platform architecture, ecosystem partnerships, and product strategy. You're welcome to work remotely in the United States. Your responsibilities will include Organization Building & Talent Build, hire, and develop a world-class Forward Deployed Engineering organization across AI applications, inference, infrastructure, and data. Define the talent bar, team structure, career paths, and leadership expectations for the function. Coach engineers and managers toward greater independence while maintaining a consistently high technical standard. Build an organization and leadership system that scales without depending on individual heroics. Operating Model & Technical Excellence Establish scalable operating models for partner engagement, technical scoping, architecture reviews, escalation, and delivery health. Set the technical bar for integrations, proofs of concept, reference architectures, and partner assessments produced by the team. Review architectures across AI applications, managed inference, cloud infrastructure, and data platforms, bringing in deeper experts where needed. Balance speed with engineering quality and ensure the team builds production-quality work rather than disposable demonstrations. Executive & Ecosystem Leadership Engage credibly with founders, CTOs, senior engineering leaders, and enterprise technical executives as Nebius's senior FDE leader. Build trusted relationships across AI platforms, cloud providers, ISVs, open source communities, and strategic technology partners. Represent Forward Deployed Engineering in platform planning, ecosystem strategy, and executive investment decisions. Create a strong external technical presence through workshops, reference architectures, open source work, events, and developer advocacy. Field-to-Product & Reusable Leverage Treat partner engagements as a continuous product discovery engine and convert field learning into roadmap priorities and shipped platform improvements. Ensure every engagement creates reusable value through platform capabilities, reference architectures, tooling, benchmarks, documentation, or automation. Prevent the function from becoming one-off consulting work by setting clear boundaries and rewarding reusable outcomes. Partner with Product and Engineering leadership to close the loop on recurring friction and improve the experience for customers beyond the original engagement. We expect you to have 12-18+ years of experience across engineering, solutions architecture, customer engineering, field engineering, or forward deployed engineering. 3-7+ years leading technical field organizations, including experience building a new function or materially scaling an existing team. A strong record of hiring, coaching, and scaling Customer Engineering, FDE, Solutions Architecture, or Field CTO teams. Earlier hands-on engineering experience in cloud, infrastructure, AI, or developer platforms. Technical judgment to review and elevate architectures across AI applications, inference, infrastructure, and data platforms. A proven track record of converting customer and partner feedback into shipped platform improvements. Executive presence and credibility as a trusted advisor to founders, CTOs, and enterprise technical executives. Experience leading across cloud providers, AI platforms, ISVs, open source communities, and strategic technology partners. The ability to hire experts, evaluate their work, and set a high technical standard without needing to be the deepest specialist in every domain. It will be an added bonus if you have Strong relationships across the AI and cloud ecosystem. Public technical leadership through talks, workshops, reference architectures, open source projects, or developer advocacy. Built a Forward Deployed Engineering, Customer Engineering, or Field Engineering organization from zero to one. Scaled a technical field organization across regions or ecosystem domains without lowering the hiring or engineering bar. Experience as a founder, VP Engineering, Field CTO, Head of Customer Engineering, or early FDE leader. Led production architecture and execution for demanding AI application, training, inference, or platform workloads. Key Employee Benefits Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) Plan: Up to 4% company match with immediate vesting. Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote Work Reimbursement: Up to $85/month for mobile and internet. Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range: $270,800 - $310,000 USD Benefits & Perks Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $260—$310 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's It Like To Work At Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

🏢 Summary: Lead Software Engineer role focused on setting technical strategy and delivering cloud-native platform services, infrastructure automation, and developer tooling. The position leads engineering standards and DevOps adoption while building scalable, secure solutions with .NET and Azure. 🗂️ Requirements: 7+ years of software development experience, Strong C# and .NET expertise, Deep Microsoft Azure experience, Technical project leadership and architectural direction, Infrastructure as Code experience, CI/CD automation experience, Containers and Kubernetes knowledge, Modern DevOps practices experience, Engineer mentoring experience 📃 Skills: C#, .NET, Azure, Terraform, Bicep, CI/CD, Kubernetes, DevOps, Containers, AI/ML 🏢 Description: Posting Type Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high-stakes legal work where accuracy and trust are crucial. The world’s largest law firms, corporations, and government agencies rely on Relativity’s legal AI software to securely surface and manage the most relevant and impactful information in their matters. Beyond our commercial impact, we are committed to expanding access to technology and supporting pro bono legal work. WHAT WE DO At Relativity, engineers do more than write code - they build systems that enable users to uncover insights from complex data at scale using cloud-native architecture, AI, and modern tools. ABOUT THE ROLE We are seeking a Lead Software Engineer to drive the technical strategy and execution of our Engineering Platform team. In this role, you will lead the development of foundational platform services and tools that accelerate and standardize software delivery across Relativity. You will act as a hands-on technical leader, setting direction, guiding engineers, and delivering scalable and secure solutions aligned with long-term vision. This role combines deep technical expertise, strong architectural thinking, and a bias for action, with the ability to influence across teams and shape engineering culture. You will play a key role in evolving our cloud-native platform and enabling engineers across the organization to move faster with confidence. Job Description and Requirements WHAT YOU’LL DO Lead the design and implementation of platform services, infrastructure automation, and development tooling using .NET and Azure Define and evolve architectural patterns and standards for cloud-native development, CI/CD, and Infrastructure as Code Collaborate with Engineering Managers, Staff Engineers, Principal Engineers, and Architects to align platform strategy with business and technical priorities Mentor engineers through design reviews, code feedback, and technical guidance Identify system-level improvements and lead initiatives to enhance developer productivity, platform resilience, and operational efficiency Promote DevOps practices, automation, and observability across the engineering organization Drive adoption of AI/ML capabilities where they improve developer experience or platform efficiency Foster a culture of ownership, experimentation, and rapid delivery with a focus on engineering excellence Stay current with industry trends and continuously improve tools, practices, and technical decision-making WHAT WE’RE LOOKING FOR Required 7+ years of software development experience with strong expertise in C# and .NET Deep experience with Microsoft Azure, including networking, compute, identity, and automation Proven ability to lead technical projects and set architectural direction Hands-on experience with Infrastructure as Code (e.g., Terraform, Bicep) and CI/CD automation Strong understanding of containers, Kubernetes, and modern DevOps practices Strong communication and collaboration skills across engineering, product, and leadership teams Experience mentoring engineers and supporting technical growth within a team Preferred Experience implementing AI/ML tools or practices within developer platforms or infrastructure WHY WE COULD BE A GREAT FIT Impactful Mission Build systems that help customers organize data, discover the truth, and act on it in high-stakes legal matters. Engineering at Scale Work on distributed, cloud-native systems that process large volumes of data. Cutting-Edge Technology Build with AI, cloud platforms, and scalable architectures shaping legal tech. Growth and Ownership Gain experience owning systems end-to-end across cloud and distributed environments. Collaborative Culture Work in a team focused on knowledge sharing and continuous improvement. Inclusive Environment Diverse perspectives create stronger teams and better outcomes. Compensation and Benefits Competitive salary, benefits, DTO, parental leave, and equity program. Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: 270 000 and 406 000PLN The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Documentations, Innovation, Leadership, Problem Solving, Process Improvements, Project Management, Quality Assurance (QA), Risk Management, Technical Knowledge, Troubleshooting

🏢 Summary: Lead .NET Engineer role focused on designing and evolving backend systems for a payments platform. The position leads architecture and complex cross-team initiatives, delivers cloud-native distributed services, and advances AI-assisted development practices in a regulated environment. 🗂️ Requirements: 8+ years of backend software engineering experience, Expertise in C# and .NET, Microservices, event-driven architecture, messaging and distributed systems experience, Azure cloud-native development experience, CI/CD and Git experience, Relational or NoSQL database experience, React frontend development knowledge, AI-assisted development tool experience, Bachelor’s degree in information technology, software engineering or related discipline 📃 Skills: C#, .NET, React, TypeScript, Azure, Kubernetes, Git, CI/CD, Microservices, NoSQL, SQL, Claude, Copilot, Docker, IaC 🏢 Description: Connecting clients to markets – and talent to opportunity. With 5,400+ employees and over 80,000 institutional, commercial, and payments clients, we operate from more than 80 offices spread across six continents. As a Fortune 100, Nasdaq-listed provider, we connect clients to the global markets – focusing on innovation, human connection, and providing world-class products and services to all types of investors. Whether you want to forge a career connecting our retail clients to potential trading opportunities, or ingrain yourself in the world of institutional investing, StoneX Group is made up of four business segments that offer endless potential for progression and growth. Business Segment Overview: A Swift-accredited service bureau and member, our Payments division provides NGOs, institutions and non-profits the ability to make a local difference, globally – with transparent pricing across 180+ countries and 140+ currencies. Responsibilities Position Purpose: We are seeking a Lead .NET Engineer to design, build, and lead the evolution of high-impact backend systems powering business-critical applications across StoneX Payments. This role is ideal for a highly experienced backend engineer who: Thrives on end-to-end ownership across the SDLC. Influences technical direction across multiple squads. Leads complex initiatives without formal people management. Actively advances agentic development practices within engineering. You will operate as a technical authority within your domain — shaping backend architecture, raising engineering standards, and enabling teams to safely leverage AI-augmented development in a regulated financial environment. Key Responsibilities will include: Backend Architecture & System Design Own the technical direction of FX Payments within your domain. Lead design and evolution of scalable, maintainable fullstack solutions using: C# / .NET, React / TypeScript, Azure cloud-native services Contribute to domain architecture strategy and ensure alignment with platform principles. Lead complex technical initiatives spanning multiple squads. Drive improvements in system performance, reliability, observability, and data integrity. Champion clean architecture, modular design, and maintainable service boundaries. Ensure architectural decisions support performance, resiliency, observability, and regulatory compliance. Conduct structured design reviews and maintain architectural documentation and ADRs. Drive modernization of legacy components toward modular, testable, cloud-ready patterns. You are expected to influence architecture beyond a single squad and elevate backend engineering standards across the domain. End-to-End Delivery & Technical Execution Participate across the full SDLC — from story refinement and design through implementation, deployment, and production support. Write high-quality, testable, production-grade backend code. Lead technical breakdown of large features and complex initiatives. Ensure strong automated testing (unit, integration, contract, e2e tests) and CI/CD hygiene. Drive technical risk identification and mitigation early in the lifecycle. Support incident resolution and root cause analysis in production systems. Partner closely with Product, QA and Architecture stakeholders. 3. Technical Leadership Without Direct Management Serve as a senior technical reference point for backend engineers. Drive effective refinement — translating product requirements into clear, technically sound work items. Maintain predictable delivery through disciplined planning, risk management, and dependency tracking. Own and drive cross-team initiatives that improve delivery process. Conduct rigorous code reviews and architectural deep dives. Facilitate architecture discussions and influence technical decisions across squads. Contribute to internal standards, documentation, and reusable backend patterns. Mentor engineers in: Backend design patterns System design Clean coding standards Cloud-native patterns Distributed systems principles Responsible use of agentic tooling This role leads through influence, expertise, and technical credibility rather than formal people management. Qualifications To land this role you will need: Core Backend Engineering 8+ years of professional software engineering experience with strong backend focus. Deep expertise in C# and .NET. Extensive experience with microservices, event-driven architectures, messaging, and distributed systems. Solid understanding of clean architecture, SOLID principles, and scalable design patterns. Experience with relational and/or NoSQL databases. Strong grounding in CI/CD, version control (Git), and cloud-native development. Extensive Azure cloud experience (App Services, Functions, Kubernetes, containerized workloads). Familiarity with infrastructure-as-code and observability tooling. Knowledge of frontend development, frameworks (in particular React) and tooling. Agentic Development Capabilities Hands-on experience using AI-assisted development tools (e.g., Claude Code, GitHub Copilot, Copilot Workspace, or equivalent). Ability to evaluate and validate AI-generated backend code for correctness, maintainability, and security. Understanding of how architecture quality, modularity, and test coverage influence agent effectiveness. Experience improving legacy systems in ways that increase automation and agent compatibility. Pragmatic mindset balancing acceleration with governance and financial system rigor. Collaboration & Influence Strong cross-functional collaboration skills with Product, QA, Frontend engineers, and DevOps. Strong stakeholder management. Strong facilitation skills for refinement and technical discussions. Experience leading small engineering teams. Experience leading technical initiatives without direct people management. Clear communicator capable of articulating architectural trade-offs and technical risks. Comfortable operating in Agile, distributed environments. Why Join Us? Work on meaningful backend systems with real business impact. Influence architecture and engineering standards across teams. Help shape the adoption of agentic development in a modernizing payments platform. Operate at the intersection of distributed systems, cloud architecture, and AI-augmented engineering. Clear progression towards Principal Engineer technical role. Education / Certification Requirements: min. Bachelor’s degree in information technology or software engineering discipline. Working environment: Hybrid 4-days in office (we have private parking for employees) FTE (UoP) type of contract

🏢 Summary: Fully remote Senior Engineering Manager role leading a distributed team of 6–10 engineers building scalable AI products for finance teams. The role combines people leadership, technical oversight, delivery ownership, and engineering-organization scaling. 🗂️ Requirements: Experience managing distributed engineering teams, Software engineering background, Python, TypeScript, Production-scale software delivery, Cloud-native architecture, APIs, Databases, CI/CD, Automated testing, Observability, Stakeholder management, AI tools 📃 Skills: Python, TypeScript, Cloud, APIs, Databases, CI/CD, Testing, Observability, AI, Agile 🏢 Description: Position: Senior Engineering Manager (Team Lead) Type of contract: B2B or UoP Working mode: Fully remote Salary: 33 - 39k PLN/month Role overview: Our client is a fast-scaling B2B AI start-up building reliable, scalable products for finance teams. They are transforming how finance teams work by shaping how AI Agents improve operations at scale. The company is backed by a strong vision to use AI not just for insights, but for meaningful work inside critical business processes with governance and measurable outcomes. Joining them means helping shape the technical foundation, product quality, and engineering culture behind AI Agents that finance teams can trust. Your Mission: You will lead a high-performing engineering team, strengthen delivery practices, and help scale the product and engineering organization. While you may not write every line of code anymore, you still enjoy getting into the details when it matters—reviewing technical decisions, asking architectural questions, and debugging complex issues. You will foster a culture of trust, clarity, and high-autonomy, empowering your team to thrive based on the standards, support, and ownership you put in place. Requirements: Experience: Proven experience managing a distributed team of engineers, setting clear goals, and developing technical talent. Strong background as a software engineer before moving into management. Tech Stack Familiarity: Strong experience across modern software engineering, with familiarity with Python and TypeScript, giving you credibility to lead technical conversations. Delivery Mindset: Experience delivering production-grade software at scale. Strong understanding of cloud-native architecture, APIs, databases, CI/CD, automated testing, and observability. Communication & Stakeholder Management: Excellent communicator working effectively with technical and non-technical stakeholders (Product, Commercial, Customer Success, and leadership). Mindset: Positive attitude with a ‘doer’ approach. You take ownership, move quickly, and solve problems pragmatically in a fast-paced environment. Commercially minded, ensuring engineering decisions support business growth. AI-First Thinker: Embraces innovation and is excited about using AI tools to improve engineering productivity and customer outcomes. Bonus: Experience in finance, accounts receivable, payments, credit, ERP systems, or workflow automation is a strong plus. Responsibilities: Team Leadership: Lead, coach, and develop a distributed team of 6 to 10 engineers, creating a culture of ownership, accountability, collaboration, and continuous improvement. Technical Delivery: Partner closely with Product and Implementation teams to translate customer needs into clear technical plans. Drive agile delivery practices for fast, high-quality product improvements. Point of Contact: Act as the primary point of contact for CS, Sales, and implementation requests, owning triage, estimation, and configuration scoping. Quality Assurance: Own QA and release processes end-to-end to ensure reliable shipping and defect prevention. Organizational Scaling: Work closely with the CTO and leadership to scale the engineering organization, team structure, and operating rhythm. People Management: Support hiring, onboarding, performance management, and career development as the team expands. Benefits: Fully remote role in a globally distributed organization. 23 days of holiday, including flexible bank holidays. Company-wide offsites on a quarterly or semi-annual basis, including visits to international offices in the UK and US. Access to multiple frontier AI tools for daily work and experimentation. Potential share options.