June 8, 2026

Data-oriented SRE (Fintech)

Senior • Remote

45 - 65 USD/hr

Warsaw, Poland

📍 Work mode: 100% Remote in NYC time zone (at least 5/6 hours of overlap with NYC)
🕒 Contract type: B2B
💼 Experience level: Senior
💰 Rate: 40-65 $ net + VAT / hour
⏳ Start date: ideally ASAP 
📆 Project length: Long-term cooperation

About the role:
We are looking for a Data-oriented SRE to help build and operate the core infrastructure that powers our data ecosystem. This role focuses on building tools, services and frameworks for data engineers and data scientists, rather than developing individual ETL pipelines. You will work on the platform layer of the data stack, designing and maintaining distributed systems, data processing frameworks and the infrastructure that enables large-scale data processing.

Job responsibilities:

  • Build and run data platform using such technologies as public cloud infrastructure (AWS and GCP), Kafka, Spark, databases and containers

  • Develop data platform based on open source software and Cloud services

  • Build and run ETL tools and frameworks to onboard data into the platform, define schema, build DAG

    processing pipelines and monitor data quality.

  • Help develop machine learning development framework and pipelines

  • Manage and run mission crucial production services.

Skills:

  • Experience as Data Platform Engineering or SRE

  • Strong software engineering experience and working with Python.

  • Experience building ETL and stream processing tools and frameworks using Kafka, Spark, Flink, Airflow/Prefect, etc.

  • Strong experience working with SQL and databases/engines such as MySQL, PostgreSQL, SQL Server, Snowflake, Redshift, Presto, etc.

  • Experience with using AWS/GCP (S3/GCS, EC2/GCE, IAM, etc.), Kubernetes and Linux in production.

  • Strong proclivity for automation and DevOps practices

  • Experience with managing increasing data volume, velocity and variety Agile, self-starter and is focused on getting things done.

  • Strong communicator

Nice to have:

  • Familiarity with data science stack: e.g. Jupyter, Pandas, Scikit-learn, Dask, Pytorch, MLFlow, Kubeflow, etc.

  • Financial Services experience

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The engineer will collaborate across international teams to deliver scalable scientific and data-driven solutions. 🗂️ Requirements: Minimum 5 years of enterprise software development experience, Expert knowledge of Java with Spring and Hibernate or JPA, Strong understanding of microservices architecture and patterns, Expert knowledge of JavaScript and TypeScript, Experience with Angular or React and HTML5, Experience building REST APIs, Knowledge of SQL, NoSQL and graph databases, Strong AWS knowledge including core services, Hands-on experience with Docker, Experience with Git and GitOps workflows, Ability to deploy code to production environments, Experience working with Scrum methodology, Fluent English 📃 Skills: Java, Spring, Hibernate, JPA, JavaScript, TypeScript, Angular, React, HTML5, Git, GitOps, REST, SQL, NoSQL, AWS, S3, IAM, EC2, ECR, ECS, Lambda, Serverless, Docker, RabbitMQ, OAuth2, Scrum, Oracle, MySQL, MongoDB, Spock, CI 🏢 Description: We are a provider of digital transformation and technology consulting services with a portfolio of solutions for both clients who do not yet have Salesforce and large organizations that work on Salesforce and use its extensive capabilities ☁. We also provide body and team leasing services in IT, providing specialists in various fields. Model : remote Employment type: full-time Background & Project: A team specializing in Data Engineering and bioinformatics systems development is seeking experienced and motivated Senior Full-Stack Software Engineer with hands-on AWS experience . This role involves developing large-scale cloud-based data processing solutions, primarily using AWS. We are looking for self-motivated and proactive engineer to contribute to the development of highly scalable computing solutions built on AWS services, with a strong focus on serverless architectures. The position involves leveraging AWS services and improving existing infrastructure to optimize, modernize, and future-proof current solutions. The engineering team operates across multiple time zones, including Pacific Time (PT), Eastern Time (ET), and Central European Time (CET). Virtual meetings and collaboration via Slack may take place during the core working hours of the San Francisco (PT) time zone. During the first six months of onboarding, increased collaboration and some overlap with the PT time zone will be expected. Responsibilities: Work together in a collaborative and practical manner to address scientific softwareengineering challenges. Engage with both local and offshore engineering teams to assist in software development endeavors Leverage existing GenAI and RAG solutions and services developed by other teams tointegrate data and existing capabilities into internal chatbots to enhance usability anddata discovery Rapid prototyping and iterations to foster innovation and enable the company to exploresolutions in a shorter time-frame. Design, build and maintain the web application providing visibility to our data management platform Collaboratively and pragmatically solve scientific software engineering challenges. Collaborate with local – Polish, the US and Canada engineering teams to support software development efforts. Contribute to the broader scientific community through open-source software development. Requirements: Minimum 5 years of work experience related to software development in enterprise projects/products and expert knowledge regarding one of the following backend technologies: JAVA (very good knowledge of frameworks like Spring, Hibernate / JPA, knowledge of other JVM based programming languages is a plus); Understanding of microservice architectures, principles and patterns Expert knowledge of Javascript and TypeScript programming ( Angular 5+ or React,with good knowledge of HTML5. Experience building reusable web components. Knowledge of git and standard GitOps workflow (MRs, protected branch), conventional commits, semantic versioning, pre-commit hooks, Experience building APIs, good understanding of REST principles Knowledge of database techniques like SQL, NoSQL and graph databases Fluent in the usage of cloud computing models (IaaS, PaaS, SaaS) and good knowledge of containers connected with this DevOps mindset and excellent knowledge of cloudplatforms like AWS. Ability to deploy yourself code to production Docker (must have) AWS cloud (including S3, IAM, EC2, ECR, ECS, AWS Lambda, Serverless) Experienced in product development with Scrum methodologies Experienced in designing software components based on limited and evolving requirements Attention to details, focus on user/developer experience Ability to coordinate work and direct collaboration with the customer Fluent in English General knowledge RabbitMQ (or other similar message broker) Good communication skills, team player, work under tight deadlines. Nice to have: Good understanding of HTTP protocol (status code, headers, etc…) Basic knowledge of OAuth 2.0 Building distributed systems Automated testing – unit, int, e2e, performance, regression Spock (Groove DSL) CI pipelines Oracle/MySQL/Mongo We offer: Remote work model B2B contract Benefits package, Daily support from team leaders, Dedicated certification budget, Integration trips/events.

Technology

Relativity

Senior Engineer - Site Reliability Engineering

Senior

Remote

Krakow, Poland

208,000 - 312,000 PLN/yr

🏢 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