Senior Software Engineer

🏢 Summary: Senior Software Engineer role focused on building and scaling a high-performance, AI-supported trade management platform using C#/.NET in distributed, event-driven systems. The position involves designing scalable backend services, optimizing performance, and collaborating in a multi-language environment including Rust. Strong emphasis is placed on scalability, reliability, and cloud efficiency in production systems. 🗂️ Requirements: 5+ years of software engineering experience, Strong C#/.NET experience in production systems, Strong system design fundamentals, Strong knowledge of concurrency, Experience with performance optimization, Experience with distributed systems, Experience with cloud platforms (AWS preferred), Willingness to work with Rust, Practical use of AI tools in development workflows 📃 Skills: C#, .NET, Rust, AWS, Kafka, RabbitMQ, AI, Concurrency, DistributedSystems, Cloud, SystemDesign 🏢 Description: Senior Software Engineer C# (AI-driven systems) We are looking for an experienced Software Engineer with strong expertise in C#/.NET and a solid understanding of system design, who is open to working in a modern, multi-language environment that includes Rust. This role focuses on building and scaling a high-performance trade management platform processing large volumes of data in distributed, event-driven systems. You will work in a highly performance-driven environment with a strong emphasis on scalability, reliability, and engineering excellence. Key Responsibilities Develop and optimize high-performance backend systems in C#/.NET Design and maintain scalable distributed services Collaborate with Rust engineers and contribute to cross-language system development Use AI tools to accelerate development, testing, and debugging Own solutions end-to-end, from design through to production Improve system performance, reliability, and cloud efficiency Requirements 5+ years of experience in software engineering Strong C#/.NET development experience (production systems) Strong fundamentals in system design, concurrency, and performance Willingness to work with Rust in a production environment Experience with distributed systems and cloud platforms (preferably AWS) Practical use of AI tools in development workflows Nice to have Experience with messaging systems (Kafka, RabbitMQ, etc.) Exposure to financial systems or trading environments 2. Senior Rust Engineer (AI-driven systems) We are looking for an experienced Rust Engineer who combines strong systems engineering skills with a modern, AI-supported development approach, and is open to working in a multi-language environment that includes C#/.NET. This role focuses on building and scaling a high-performance trade management platform processing large volumes of data in distributed, event-driven architectures. The environment is highly performance-focused, with strong requirements around scalability, reliability, and low-latency processing. Key Responsibilities Develop and optimize high-performance backend systems in Rust Design and maintain scalable distributed services Collaborate with C# engineers and contribute to cross-stack system design Use AI tools to accelerate development, testing, and debugging Own solutions end-to-end, from architecture to production Improve system performance, reliability, and cloud efficiency Requirements 5+ years of experience in software engineering Strong Rust experience in production systems Strong fundamentals in system design, concurrency, and performance Willingness to work with C#/.NET in a hybrid environment Experience with distributed systems and cloud platforms (preferably AWS) Practical use of AI tools in development workflows Nice to have Experience with messaging systems (Kafka, RabbitMQ, etc.) Exposure to financial systems or trading environments

🏢 Summary: Senior Software Engineer role focused on building and scaling a high-performance, AI-supported trade management platform using Rust and C#. The position involves designing distributed, event-driven systems with strong emphasis on performance, scalability, and reliability. The engineer will own solutions end-to-end and optimize cloud-based backend systems. 🗂️ Requirements: 5+ years of software engineering experience, Strong system design knowledge, Strong understanding of concurrency, Strong understanding of performance optimization, Hands-on Rust experience in production, Familiarity with C#/.NET, Experience with distributed systems, Experience with cloud platforms (preferably AWS), Practical use of AI tools in development workflows 📃 Skills: Rust, C#, NET, AWS, Kafka, RabbitMQ, AI, DistributedSystems, Concurrency, PerformanceOptimization 🏢 Description: Senior Software Engineer C# (AI-driven systems) We are looking for an experienced Software Engineer who combines strong system design skills with a modern, AI-supported development approach. This role focuses on building and scaling a high-performance trade management platform, primarily in Rust, with some exposure to C#/.NET. You will work on distributed, event-driven systems processing large volumes of data, with a strong focus on performance, scalability, and reliability. Key Responsibilities Develop and optimize high-performance backend systems Design and maintain scalable distributed services Use AI tools to accelerate development, testing, and debugging Own solutions end-to-end, from design to production Improve system performance and cloud efficiency Requirements 5+ years of experience in software engineering Strong fundamentals in system design, concurrency, and performance Hands-on experience with Rust (production level) Familiarity with C#/.NET Experience with distributed systems and cloud (preferably AWS) Practical use of AI tools in development workflows Nice to have Experience with messaging systems (Kafka, RabbitMQ, etc.) Exposure to financial systems or trading environments

🏢 Summary: The role focuses on building and evolving core platform services to support engineering teams, emphasizing scalable cloud-native solutions, developer experience, and automation. It involves designing shared services, advancing CI/CD and Infrastructure as Code practices, and integrating AI-powered tools and LLM-based solutions. The position also promotes DevOps and SRE standards to ensure reliability and operational excellence in production environments. 🗂️ Requirements: 8+ years of experience delivering production-grade software solutions, Strong proficiency in Python, Experience with Kubernetes and containerized environments, Experience with distributed systems, Knowledge of REST and gRPC service development, Experience with cloud-native architectures, Hands-on experience with Infrastructure as Code tools, Familiarity with AI tooling and LLM-based applications, Ability to support production systems and incident response 📃 Skills: Python, Kubernetes, Docker, REST, gRPC, Terraform, CI/CD, LLM, AI, DevOps, SRE, Cloud, Automation 🏢 Description: We are looking for a Senior Platform Engineer to help build and evolve the core technology platforms that support our engineering organization. This role focuses on developing scalable software solutions, improving developer experience, and driving cloud-native engineering practices across the business. Working closely with engineering, cloud, and operations teams, you will contribute to platform architecture, automation initiatives, and the adoption of modern development and reliability practices. Key Responsibilities • Design and maintain shared platform services and engineering tools used across multiple teams. • Develop and enhance internal platforms, including authentication, developer tooling, and infrastructure services. • Build AI-powered solutions leveraging LLMs, intelligent agents, and automation technologies. • Contribute to engineering standards, architectural guidelines, and reusable frameworks. • Improve software delivery through CI/CD, automation, and Infrastructure as Code. • Promote DevOps and SRE practices, including observability, monitoring, and operational excellence. • Support production systems through incident response and reliability improvements. Required Qualifications • 8+ years of experience delivering software solutions in production environments. • Strong programming skills in Python; experience in other languages like Java, C#, C++, Go or others, nice to have • Experience with Kubernetes, containers, and distributed systems. • Knowledge of REST and gRPC service development. • Experience with solution architecture and cloud-native technologies. • Familiarity with AI tooling, agent-based frameworks, and LLM-powered applications. • Hands-on experience with Infrastructure as Code tools such as Terraform. • Strong communication and technical documentation skills.

🏢 Summary: Senior individual contributor role focused on building and delivering scalable software systems while shaping technical direction and standards. The position combines hands-on Ruby/Rails development with system design, cross-team technical leadership, and mentoring. The engineer will lead complex initiatives and drive architectural decisions in a modern distributed stack. 🗂️ Requirements: Strong experience with Ruby, Experience with Rails framework, Experience designing scalable systems, Proven experience leading complex cross-team technical projects, Ability to make architectural decisions, Experience mentoring engineers, Experience with distributed systems and backend integrations, Ability to work with PostgreSQL and Redis, Experience working with React frontend, Experience with Kafka, Elasticsearch, and Kubernetes 📃 Skills: Ruby, Rails, PostgreSQL, Redis, React, Kafka, Elasticsearch, Kubernetes, HR, Fintech, Accounting 🏢 Description: We are looking for a Senior Engineer to join our team and help us build and deliver software at scale. We have a flat structure, but this is a very senior individual role for someone who can make a big impact. In this role, you will take initiative, solve complex problems, improve our technical standards, and support other engineers. You will work closely with leadership to shape our technical direction while still writing code. Our Tech Stack Ruby 3.3.8 & Rails 7.2 PostgreSQL & Redis React (frontend) Kafka, Elasticsearch, Kubernetes (K8s) What you will do Drive technical work: Help turn high-level goals into clear projects and plans. Support the team: Mentor both junior and senior engineers to help them grow. Set standards: Improve how we work and make sure our code stays maintainable in the future. Handle uncertainty: Work without clear instructions at times, set direction, and guide others. Solve complex problems: Take the lead on difficult issues and important technical decisions. What we are looking for Strong experience with Ruby Experience in HR, Fintech, or Accounting systems is a plus Proven impact: experience leading complex projects across teams Good communication: able to work with both engineers and non-technical stakeholders Initiative: able to find important problems and follow through with solutions The process Screening call: 15-minute chat with a recruiter System design interview: 60-minute discussion about architecture Behavioral interview: 60-minute conversation about your experience and teamwork Final call: conversation with the CEO

🏢 Summary: Senior individual contributor engineering role focused on building and delivering scalable software, driving technical direction, solving complex problems, and mentoring engineers while remaining hands-on with development. The position involves working across backend and frontend systems using Ruby, Rails, React, PostgreSQL, Redis, Kafka, Elasticsearch, and Kubernetes. 🗂️ Requirements: Strong experience with Ruby, Experience leading complex cross-team projects, Ability to solve complex technical problems, Ability to work independently in ambiguous environments, Strong communication with technical and non-technical stakeholders, Experience mentoring engineers 📃 Skills: Ruby, Rails, PostgreSQL, Redis, React, Kafka, Elasticsearch, Kubernetes 🏢 Description: We are looking for a Senior Engineer to join our team and help us build and deliver software at scale. We have a flat structure, but this is a very senior individual role for someone who can make a big impact. In this role, you will take initiative, solve complex problems, improve our technical standards, and support other engineers. You will work closely with leadership to shape our technical direction while still writing code. Our Tech Stack Ruby 3.3.8 & Rails 7.2 PostgreSQL & Redis React (frontend) Kafka, Elasticsearch, Kubernetes (K8s) What you will do Drive technical work: Help turn high-level goals into clear projects and plans. Support the team: Mentor both junior and senior engineers to help them grow. Set standards: Improve how we work and make sure our code stays maintainable in the future. Handle uncertainty: Work without clear instructions at times, set direction, and guide others. Solve complex problems: Take the lead on difficult issues and important technical decisions. What we are looking for Strong experience with Ruby Experience in HR, Fintech, or Accounting systems is a plus Proven impact: experience leading complex projects across teams Good communication: able to work with both engineers and non-technical stakeholders Initiative: able to find important problems and follow through with solutions The process Screening call: 15-minute chat with a recruiter System design interview: 60-minute discussion about architecture Behavioral interview: 60-minute conversation about your experience and teamwork Final call: conversation with the CEO

🏢 Summary: Senior Software Engineer responsible for defining technical standards and architecture, leading backend and frontend development, and ensuring secure, scalable, and observable solutions. The role drives CI/CD, enterprise integrations, and production support while aligning engineering practices with product and operations goals. 🗂️ Requirements: Proven experience defining technical standards and architecture, Experience with CI/CD orchestration, Experience with observability implementation, Experience implementing on-premises, hybrid, and cloud solutions, Experience leading backend and frontend architectural decisions, Experience maintaining CI/CD pipelines, Experience coordinating enterprise integrations, Knowledge of DDD and clean architecture, Expertise in Java and Spring Boot, Expertise in Python and FastAPI, Expertise in React or Angular, Experience with L2/L3 production support, Experience with Spring Security and OAuth 📃 Skills: Java, SpringBoot, Python, FastAPI, React, Angular, CICD, Observability, ServiceNow, Jira, Boomi, DDD, OAuth, SpringSecurity 🏢 Description: To strengthen the team, we are seeking a person for the role of Senior Software Engineer, responsible for defining technical standards and architecture, guiding the development team, ensuring quality practices, security, and CI/CD, and collaborating with product and operations in delivering scalable, business-aligned solutions. Main Responsibilities Define technical standards, architecture, and development practices, ensuring quality, security, performance, and resilience in production environments. Orchestrate end-to-end delivery with CI/CD and observability while promoting responsible autonomy among teams aligned with product and operational objectives. Implement on-premises, hybrid, and cloud solutions with security best practices, observability, and integration with existing systems. Lead architectural decisions in backend and frontend (Java/Spring Boot, Python/FastAPI, React/Angular), ensuring scalability, consistent testing and code reviews. Implement and maintain end-to-end CI/CD pipelines and observability (logs, metrics, distributed tracing). Coordinate enterprise integrations (ServiceNow, Jira, CRMs) and iPaaS (e.g., Boomi), including mapping, validation, and compliance. Apply practices such as DDD, clean architecture, application security, and secrets/IAM management throughout the development lifecycle. Provide technical guidance to the team, elevate quality standards, and align practices with product and operations. Lead L2/L3 support in production: incident triage and resolution, prevention escalation (on call), SLA management, and conducting post-mortems focused on root causes and corrective actions. Operate and evolve applications in on-premises, hybrid, or cloud environments: VMs, networks, VPNs, certificates, Nginx/reverse proxy, load balancing, and enhancing the security of exposed services. Key Requirements Proven ability to define technical standards, architecture, and development practices. Experience with CI/CD orchestration and observability practices. Knowledge of implementing on-premises, hybrid, and cloud solutions with security best practices. Leadership in architectural decisions for backend and frontend technologies. Experience with maintaining CI/CD pipelines and end-to-end observability. Ability to coordinate enterprise integrations and ensure compliance. Mastery of practices such as DDD and clean architecture. Technical expertise in Java/Spring Boot, Python/FastAPI, React/Angular. Experience in providing L2/L3 technical support and leading incident resolution. Expertise in security practices, including Spring Security and OAuth. Nice to Have Experience with Docker, Kubernetes, and cloud environments (Azure/AWS/GCP). Background in data management with PostgreSQL, MongoDB, and Redis. Familiarity with AI models, particularly RAG. Knowledge in security access management and policies based on the principle of least privilege.

🏢 Summary: Senior Software Engineer – SRE role focused on building and maintaining highly available, observable, and resilient cloud-native systems. The position emphasizes automation, CI/CD improvements, incident management, and implementation of reliability best practices across a SaaS platform. You will collaborate cross-functionally to enhance scalability, performance, and operational excellence. 🗂️ Requirements: 5+ years in Software Engineering, SRE, or Cloud Infrastructure, Experience with DevOps tools and practices, Proficiency in Python, Go, Java, or C#/.NET, Experience with at least two: GitHub, Azure DevOps, GitLab, Jenkins, Hands-on experience with observability tools, Strong experience with CI/CD pipelines and automation, Experience with cloud-native distributed systems, Experience in high-availability SaaS environments, Knowledge of SLOs, SLIs, and error budgets, Experience with incident management and root cause analysis, Experience implementing redundancy and disaster recovery, Experience with Agile methodologies 📃 Skills: Python, Go, Java, C#, DotNet, GitHub, Azure, GitLab, Jenkins, Prometheus, Grafana, OpenTelemetry, CI/CD, DevOps, SLO, SLI, SaaS, Automation, Cloud, DistributedSystems 🏢 Description: Job Overview As the Senior Software Engineer – SRE you will focus on implementing and maintaining reliability solutions across the platform. This role emphasizes hands-on engineering work, automation, and operational excellence. The Senior Software Engineer will work closely with other engineers to ensure systems are highly available, observable, and resilient. As a member of the engineering team, the Senior Software Engineer will work closely with Infrastructure, Engineering, and Product teams to develop highly resilient, observable, and automated solutions that enhance system availability and efficiency. The ideal candidate will bring deep technical expertise, strong problem-solving skills, and a passion for reliability engineering. Job Description and Requirements Job Responsibilities Implement, and advocate for best-in-class reliability, observability, and scalability practices across the platform. Develop automated solutions for system reliability, capacity planning, and incident response to minimize manual intervention. Participate in improving Service Level Objectives (SLOs), Service Level Indicators (SLIs), and error budgets to enhance system reliability. Contribute to CI/CD pipeline improvements and DevOps practices. Support root cause analysis (RCA) investigations, drive corrective actions, and advocate for a blameless postmortem culture. Participate in on-call rotations to ensure 24/7 availability of critical systems. Influence and mentor engineering teams on SRE principles, DevOps culture, and best practices. Stay ahead of industry trends, adopting new tools, frameworks, and methodologies to continually improve system reliability. Preferred Qualifications 5+ years of experience in software engineering, site reliability engineering, or cloud infrastructure roles. Experience with DevOps tooling and practices. Proficient in building service-oriented architectures and cloud-native distributed systems. Proficiency in programming languages such as Python, Go, Java, or C# or .Net. In-depth technical understanding and experience with at least two of the following DevOps platforms: GitHub, Azure DevOps, GitLab, or Jenkins. Hands-on experience with observability tools (e.g., Prometheus, Grafana, OpenTelemetry or others). Strong background in CI/CD pipelines, automation, and DevOps practices. Experience working in global, high-availability SaaS environments. Experience implementing redundancy and disaster recovery scenarios. Excellent teamwork and cross-group collaboration skills. Ability to collaborate with both technical and business professionals. Hands-on experience with Agile Project Development Methodologies. Experience delivering complex technical solutions. Excellent problem-solving, analytical, and communication skills. Nice to have: Experience with Chaos Engineering and/or AI Ops . Competencies and Skills Automation-First Mindset – Commitment to reducing toil through scripting and automation. Reliability Engineering – Expertise in SLOs, SLIs, error budgets, and high-availability architectures. Incident Management & Postmortems – Experience in handling production incidents and driving continuous improvement. Observability & Monitoring – Deep understanding of logging, monitoring, and alerting best practices. Practical knowledge of data structures and modern data engines. Collaboration & Communication – Ability to work across teams, influence stakeholders, and advocate for reliability improvements. Mentorship & Coaching – Passion for mentoring engineers and building an SRE culture within the organization. Additional Information This role offers a unique opportunity to shape the future of SRE in a cutting-edge SaaS company, ensuring the reliability and scalability of mission-critical applications for customers worldwide. If you are passionate about solving complex reliability challenges and driving technical excellence, we’d love to hear from you! Relativity is a diverse workplace with different skills and life experiences—and we love and celebrate those differences. We believe that employees are happiest when they're empowered to be their full, authentic selves, regardless how you identify. Benefit Highlights: Comprehensive health, dental, and vision plans Parental leave for primary and secondary caregivers Flexible work arrangements Two, week-long company breaks per year Additional time off Long-term incentive program Training investment program All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. 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: Senior Engineer role focused on building and scaling an AI-powered developer platform across frontend, backend, CLI tooling, and state-machine agent systems. The position involves end-to-end ownership of enterprise-grade platform features, AI workflows, and cloud-based infrastructure in a highly technical on-site environment. 🗂️ Requirements: 8+ years of software engineering experience, Senior or Expert-level individual contributor experience, Expertise in TypeScript, Expertise in Node.js, Expertise in React, Expertise in Next.js, Experience with LLMs in production environments, Experience with AI agent architectures, Experience with Docker and containerized environments, Understanding of VM ecosystems, Knowledge of monorepo architectures, Experience with Nx, Familiarity with IDE extensions, Experience building custom CLIs, Experience with third-party developer integrations, Ability to own product initiatives from design to production, Ability to collaborate in an on-site engineering environment 📃 Skills: TypeScript, Node.js, React, Next.js, LLMs, Docker, VMs, Nx, CLI, GitHub, Azure, DevOps 🏢 Description: Position: Senior Engineer (Product Infrastructure & Platform) Type of contract: B2B or UoP Location: Kraków (full time office) Salary: 34,000 - 36,000 PLN netto (B2B) or 31,000 - 32, 000 PLN brutto (UoP) Role overview: Our client does not just build software; they engineer competitive advantages. They are building a proprietary, near-deterministic AI-powered development platform designed for broad developer adoption, operating at the absolute frontier of technology alongside the world’s leading AI labs. They are looking for a Senior Engineer to join their product execution team. This is not a role for someone who only wants to write isolated features. This is a role for an expert individual contributor who takes Extreme Ownership over the core product surface—including the developer UI, backend services, CLI tools, and advanced execution agents that thousands of engineers rely on daily. You will build and evolve their core developer platform end to end: from the React-based user interface and Node.js-based backends that stream complex agent execution steps, through state-machine agent frameworks, to robust authentication, billing, and system integrations that make the platform enterprise-ready. You will collaborate closely with engineering and architecture teams to deliver an unparalleled developer experience. Requirements: Experience 8+ years of hard-core software engineering experience. Proven track record as a Senior or Expert-level individual contributor. Confidence owning complex product initiatives from initial design through to production. Technical Depth & Skills Absolute expertise in TypeScript, Node.js, React, and Next.js. Hands-on experience building with LLMs and AI agent architectures in real-world production environments. Comfort working with containerized environments (Docker) and VM ecosystems for isolated, secure execution of generated code. Deep understanding of monorepo structures (such as Nx) and a clear grasp of why large-scale enterprise codebases are organized this way. Familiarity with the modern developer tools ecosystem, including IDE extensions, custom CLIs, and third-party developer integrations. Extreme ownership You do not wait for tasks to be assigned; you proactively identify gaps and structural challenges. You see a complex engineering problem, design a clean solution, align the necessary resources, and deliver with absolute certainty. You naturally take accountability for final outcomes and user experiences, not just isolated implementation details. Mentoring & Collaboration Ability to elevate the entire engineering team through high technical standards and clear architectural guidance. Confidence collaborating hands-on in a shared office environment through pair programming, interactive design discussions, and direct exchange. Skill in helping fellow engineers grow into entirely independent problem solvers. Business DNA Deep understanding that code serves core business objectives and strategic ROI, not just technical elegance. Ability to create durable operating leverage through sound technical choices and future-proof design. Strong instinct for connecting low-level system architecture choices directly with company value. What you can expect Frontier Product: Building state-of-the-art systems and state-machine architectures that redefine how modern developers interact with AI workflows. Elite Environment: Working alongside C-level executives, industry visionaries, and core platform architects with no corporate theater or bureaucratic overhead. Responsibilities: IDE Extensions & Backends: Build and optimize the IDE user interface layer and streaming backends that seamlessly connect developers to long-running coding agents. State-Machine Agents: Develop, test, and improve automated AI workflows—ranging from frontend component generation to domain-specific code adjustments—using a proprietary state-machine framework. CLI Tooling: Create and maintain powerful command-line utilities optimized for automated code generation, linting, and developer agent debugging. User-Facing Platform Surface: Design and implement secure authentication flows, subscription management, and enterprise-grade VCS integrations (e.g., GitHub, Azure DevOps, cloud suites). Scale & Infrastructure Collaboration: Work closely with infrastructure engineers to deploy secure, containerized agent runner infrastructure to the cloud at scale, contributing across the stack as needed. Perks in the office: Premium coffee selection Secure bike parking On-site shower facilities Free selection of beverages Complimentary snacks Modern, high-end office space No dress code policy Dedicated playroom and relaxation area Benefits: Dedicated conference and professional development budget Flexible working hours

🏢 Summary: Remote Senior Software Engineer – SRE role focused on building and maintaining highly available, scalable, and observable cloud-native systems. The position emphasizes automation, CI/CD improvements, incident management, and implementation of reliability best practices across SaaS platforms. The engineer collaborates cross-functionally to enhance system resilience, performance, and operational excellence. 🗂️ Requirements: 5+ years in Software Engineering, SRE, or Cloud Infrastructure roles, Experience with DevOps tools and practices, Proficiency in Python, Go, Java, C#, or .Net, Experience with at least two: GitHub, Azure DevOps, GitLab, Jenkins, Hands-on experience with observability tools, Strong experience with CI/CD pipelines and automation, Experience with cloud-native distributed systems, Experience in high-availability SaaS environments, Knowledge of SLOs, SLIs, and error budgets, Experience with redundancy and disaster recovery, Participation in on-call rotations 📃 Skills: Python, Go, Java, C#, .Net, GitHub, Azure, GitLab, Jenkins, Prometheus, Grafana, OpenTelemetry, CI/CD, DevOps, SLO, SLI, SaaS, Automation, Cloud, Agile 🏢 Description: Posting Type Remote Job Overview As the Senior Software Engineer – SRE you will focus on implementing and maintaining reliability solutions across the platform. This role emphasizes hands-on engineering work, automation, and operational excellence. The Senior Software Engineer will work closely with other engineers to ensure systems are highly available, observable, and resilient. As a member of the engineering team, the Senior Software Engineer will work closely with Infrastructure, Engineering, and Product teams to develop highly resilient, observable, and automated solutions that enhance system availability and efficiency. The ideal candidate will bring deep technical expertise, strong problem-solving skills, and a passion for reliability engineering. Job Description and Requirements Job Responsibilities Implement, and advocate for best-in-class reliability, observability, and scalability practices across the platform. Develop automated solutions for system reliability, capacity planning, and incident response to minimize manual intervention. Participate in improving Service Level Objectives (SLOs), Service Level Indicators (SLIs), and error budgets to enhance system reliability. Contribute to CI/CD pipeline improvements and DevOps practices. Support root cause analysis (RCA) investigations, drive corrective actions, and advocate for a blameless postmortem culture. Participate in on-call rotations to ensure 24/7 availability of critical systems. Influence and mentor engineering teams on SRE principles, DevOps culture, and best practices. Stay ahead of industry trends, adopting new tools, frameworks, and methodologies to continually improve system reliability. Preferred Qualifications 5+ years of experience in software engineering, site reliability engineering, or cloud infrastructure roles. Experience with DevOps tooling and practices. Proficient in building service-oriented architectures and cloud-native distributed systems. Proficiency in programming languages such as Python, Go, Java, or C# or .Net. In-depth technical understanding and experience with at least two of the following DevOps platforms: GitHub, Azure DevOps, GitLab, or Jenkins. Hands-on experience with observability tools (e.g., Prometheus, Grafana, OpenTelemetry or others). Strong background in CI/CD pipelines, automation, and DevOps practices. Experience working in global, high-availability SaaS environments. Experience implementing redundancy and disaster recovery scenarios. Excellent teamwork and cross-group collaboration skills. Ability to collaborate with both technical and business professionals. Hands-on experience with Agile Project Development Methodologies. Experience delivering complex technical solutions. Excellent problem-solving, analytical, and communication skills. Nice to have: Experience with Chaos Engineering and/or AI Ops . Competencies and Skills Automation-First Mindset – Commitment to reducing toil through scripting and automation. Reliability Engineering – Expertise in SLOs, SLIs, error budgets, and high-availability architectures. Incident Management & Postmortems – Experience in handling production incidents and driving continuous improvement. Observability & Monitoring – Deep understanding of logging, monitoring, and alerting best practices. Practical knowledge of data structures and modern data engines. Collaboration & Communication – Ability to work across teams, influence stakeholders, and advocate for reliability improvements. Mentorship & Coaching – Passion for mentoring engineers and building an SRE culture within the organization. Additional Information This role offers a unique opportunity to shape the future of SRE in a cutting-edge SaaS company, ensuring the reliability and scalability of mission-critical applications for customers worldwide. If you are passionate about solving complex reliability challenges and driving technical excellence, we’d love to hear from you! Relativity is a diverse workplace with different skills and life experiences—and we love and celebrate those differences. We believe that employees are happiest when they're empowered to be their full, authentic selves, regardless how you identify. Benefit Highlights: Comprehensive health, dental, and vision plans Parental leave for primary and secondary caregivers Flexible work arrangements Two, week-long company breaks per year Additional time off Long-term incentive program Training investment program All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. 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: The role focuses on engineering production-grade AI features such as semantic search, intelligent assistants, and automated risk scoring by integrating external AI providers into a cybersecurity platform. You will own the full lifecycle from prototype to reliable, monitored production services, primarily using Python on Azure. This position emphasizes robust software engineering practices over model research or training. 🗂️ Requirements: 5+ years of professional experience building production systems in Python, Expert-level Python programming skills, Experience with ML frameworks and libraries, Proven experience shipping and operating production software, Experience integrating external APIs in production environments, Strong understanding of software architecture and design patterns, Practical experience with CI/CD pipelines, Experience with containerization using Docker, Understanding of AI/ML concepts including LLMs, embeddings, prompt engineering, RAG, Experience with unit and integration testing and mocking external services, Polish work permit, Professional proficiency in English 📃 Skills: Python, Azure, OpenAI, Anthropic, Docker, CI/CD, FastAPI, Flask, Pinecone, Weaviate, Chroma, .NET, REST, LLMs, RAG, Embeddings, Git 🏢 Description: About the Role As a Senior AI/ML Engineer you will be building AI-powered features at the core of our platform - semantic search, an intelligent assistant, automated risk scoring, and much more. We mainly integrate with external AI model providers (OpenAI, Anthropic, and others) to deliver these capabilities to our clients and internal users. This is a software engineering role, not a data science or ML research position. You won't train models from scratch or publish papers. You'll engineer production-grade systems that leverage AI to solve real cybersecurity problems. If you're a strong Python engineer excited about making AI reliable, maintainable, and impactful — we want to talk to you. We're looking for a versatile software engineer to own the journey from AI prototype to reliable production system: building robust integrations with external AI providers or fine-tuned models, standardizing our Python codebase and release pipelines, and ensuring our AI features meet the same quality bar as any other production service. What You'll Do Ship AI features end to end - from integration design through deployment to monitoring in production. You'll build and maintain Python services that power our AI-driven capabilities on Azure. Build production-ready AI / ML integrations - including retry logic, rate limiting, cost monitoring, fallback strategies, and abstraction layers that allow us to swap between model providers. Turn proofs of concept into reliable software - collaborate with our AI experts (who bring deep ML/data science expertise) to take working prototypes and engineer them into tested, documented, production-grade services. Standardize Python engineering practices - establish and evolve our code organization, testing strategies, CI/CD pipelines, and release processes for AI/ML features. Design clean service boundaries - our platform's core runs on .NET. You'll design and maintain well-defined APIs between the Python/AI layer and the rest of the system. Mentor and share knowledge - help other engineers grow their Python and AI engineering skills, and bring engineering rigor to the broader team's practices. Contribute to architecture decisions - work closely with other teams to shape how AI capabilities evolve within the platform. Who You Are Must-Haves 🔹 5+ years of professional experience building and maintaining production systems in Python. 🔹 Expert-level programming skills and proficiency with common ML frameworks and libraries. 🔹 A track record of shipping and operating software - not just building prototypes. You care about testing, monitoring, logging, and what happens after deployment. 🔹 Experience integrating external APIs in production systems - ideally AI/LLM provider APIs (OpenAI, Anthropic, Azure AI, or similar), but strong API integration experience in any domain counts. 🔹 Solid understanding of software architecture and design patterns - you have opinions about how to structure a Python project and can articulate trade-offs. 🔹 Practical knowledge of CI/CD pipelines, containerization (Docker), and modern development workflows. 🔹 A working understanding of AI/ML concepts - you know what embeddings, LLMs, prompt engineering, and RAG are. You can have a productive technical conversation with an ML specialist without needing every concept explained from scratch. 🔹 Experience with testing strategies - unit tests, integration tests, mocking external services. You instinctively write tests, not as an afterthought. 🔹 A highly adaptable, problem-solving and result-oriented mindset with the ability to work independently and take ownership in a fast-paced and dynamic environment. 🔹 Strong communication skills in English (our working language). 🔹 Willingness to learn continuously and share what you learn with the team. Nice-to-Haves 🔸 Experience with Azure cloud services. 🔸 Familiarity with FastAPI, Flask, or similar Python web frameworks. 🔸 Exposure to MLOps tooling or practices (model versioning, experiment tracking, feature stores). 🔸 Hands-on experience in Document AI / Intelligent Document Processing using traditional models and Generative AI. 🔸 Experience with vector databases (Pinecone, Weaviate, Chroma, or similar). 🔸 Any experience with .NET - helpful for cross-team collaboration, but not expected. 🔸 Background in or interest in cybersecurity as a domain. Your Team You'll join our Synapse team - a small, focused group responsible for all AI/ML capabilities within our platform. The team consists of: -> Team Leader / Architect - provides high-level architectural guidance, planning, and cross-stack delivery. -> AI / ML Engineer - deep expertise in AI/ML and data science. Your counterbalance: they bring the ML knowledge, you bring the production engineering discipline. -> AI / Backend Engineer - transitioning from .NET into AI engineering. A teammate you'll mentor and grow alongside. -> You - the person who bridges the gap between AI prototypes and reliable production systems. Why Join Us? / What We Offer: Competitive salary and benefits package. Remote work options and flexible working hours. Actual impact on the choice and shape of solutions developed. Opportunities for professional growth and development. Training and conference budget. A collaborative, innovative work environment with an iterative agile approach. The role is for six months with the possibility of extension. Both full-time and part-time cooperation are possible.