Senior Data Platform Engineer

🏢 Summary: Senior Data Platform Engineer role focused on designing, building, and operating scalable, highly available data persistence systems for distributed services. The position combines backend engineering, platform reliability, and cloud-native data infrastructure to improve performance, scalability, and observability of global data ecosystems. Hybrid work model with competitive salary and comprehensive benefits. 🗂️ Requirements: 5+ years of software engineering experience in production systems, Strong backend engineering skills (Python, Java, or Kotlin), Experience with large-scale, data-intensive systems, Solid understanding of distributed systems fundamentals, Experience in cloud environments (AWS preferred), Experience with relational or NoSQL databases, Hands-on experience with large-scale data pipelines, Experience with event-driven or streaming architectures, Understanding of end-to-end data flow (ingestion, transformation, storage, access), Experience designing scalable and reliable data systems 📃 Skills: Python, Java, Kotlin, Kafka, Spark, PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch, AWS, Terraform, ETL 🏢 Description: We are hiring on behalf of our client, a global innovator in fitness and wellness technology. Their mission is to empower people to live fit, strong, long, and happy lives by delivering integrated experiences to millions of members anytime, anywhere. We are looking for a Senior Data Platform Engineer to join the Datastores team. This team is responsible for building and operating the core data persistence layer used by application services across the organization. In this role, you will design and improve the systems that store, access, and scale critical data across distributed services. It is a hands-on engineering position where you will work at the intersection of backend engineering, platform reliability, and cloud-native data infrastructure. Your work will directly influence the scalability, performance, and reliability of the company’s global data ecosystem. Key takeaways: Stack: Python, Kafka, Spark, PostgreSQL, AWS Salary: 23.000 - 30 000 PLN gross per month on Employment Contract Working model: hybrid - 3x weekly from the office Location: ul. Grzybowska 60, Warsaw Recruitment process: A call with Motife recruiter (30 min) Coding Interview (1h) Interview panel: architecture & system design discussion; Hiring Manager meeting (up to 2h in total) Responsibilities: Data Infrastructure Engineering Design, build, and operate backend systems that rely on scalable and highly available data persistence layers. Contribute to architectural decisions around distributed data systems, multi-region persistence, and global scalability. Improve the reliability and performance of production datastores used by critical services. Data Performance & Optimization Partner with service teams to improve database schema design, query performance, and data modelling. Optimize data access patterns and indexing strategies for relational and NoSQL databases. Support teams in designing systems that scale efficiently under high load. Developer Experience & Platform Tooling Build and maintain self-service tooling that enables engineers to provision and manage databases and caching layers. Contribute to infrastructure automation using tools such as Terraform and internal developer platforms. Improve observability and operational insight into datastore performance and reliability. Platform Reliability & Observability Implement monitoring, metrics, and tracing strategies to improve visibility into production data systems. Develop autoscaling and performance optimization strategies for critical data infrastructure. Support operational excellence by reducing manual processes and improving system resilience. Requirements: Technical Expertise 5+ years of experience in software engineering, building and operating production systems Strong backend engineering fundamentals (e.g. Python, Java, or Kotlin) Experience working with large-scale, data-intensive systems Solid understanding of distributed systems fundamentals (e.g. scalability, latency, reliability, data consistency) Experience working in cloud environments (preferably AWS) Familiarity with relational or NoSQL databases (e.g. PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch) Data Systems & Architecture Hands-on experience with large-scale data pipelines and data processing systems Exposure to event-driven architectures, streaming or batch processing (e.g. Kafka, Spark, ETL workflows) Understanding of end-to-end data flow: ingestion (how data enters the system) transformation (how it is processed) storage & access (how other services consume it) Experience designing systems where data performance, scalability, and reliability are critical Collaboration & Engineering Mindset Ability to work cross-functionally with service teams to improve system design and data access patterns. Strong problem-solving skills with a focus on performance, scalability, and reliability. Clear communication skills and a collaborative engineering approach. What we offer: 100% paid medical care Multisport Creative tax (KUP) Home office allowance MacBook Pro Apply now If you’re excited about building developer platforms that scale, empower teams, and set new standards for engineering excellence, we’d love to hear from you. Apply via our careers page and please submit your CV in English .

🏢 Summary: Senior Data Platform Engineer role focused on designing, building, and operating scalable, highly available data persistence systems for distributed services. The position combines backend engineering, cloud-native infrastructure, and data platform reliability to support global, data-intensive applications. The engineer will enhance performance, scalability, and observability of production datastores across a multi-region environment. 🗂️ Requirements: 5+ years of software engineering experience in production systems, Strong backend programming skills (Python, Java, or Kotlin), Experience with large-scale, data-intensive systems, Solid understanding of distributed systems fundamentals, Experience with cloud environments, preferably AWS, Hands-on experience with relational or NoSQL databases, Experience with large-scale data pipelines and data processing systems, Experience with event-driven architectures or streaming/batch processing, Understanding of end-to-end data flow (ingestion, transformation, storage, access), Experience designing scalable, high-performance, reliable data systems 📃 Skills: Python, Java, Kotlin, Kafka, Spark, PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch, AWS, Terraform, ETL 🏢 Description: We are hiring on behalf of our client, a global innovator in fitness and wellness technology. Their mission is to empower people to live fit, strong, long, and happy lives by delivering integrated experiences to millions of members anytime, anywhere. We are looking for a Senior Data Platform Engineer to join the Datastores team. This team is responsible for building and operating the core data persistence layer used by application services across the organization. In this role, you will design and improve the systems that store, access, and scale critical data across distributed services. It is a hands-on engineering position where you will work at the intersection of backend engineering, platform reliability, and cloud-native data infrastructure. Your work will directly influence the scalability, performance, and reliability of the company’s global data ecosystem. Key takeaways: Stack: Python, Kafka, Spark, PostgreSQL, AWS Salary: 23.000 - 30 000 PLN gross per month on Employment Contract Working model: hybrid - 3x weekly from the office Location: ul. Grzybowska 60, Warsaw Recruitment process: A call with Motife recruiter (30 min) Coding Interview (1h) Interview panel: architecture & system design discussion; Hiring Manager meeting (up to 2h in total) Responsibilities: Data Infrastructure Engineering Design, build, and operate backend systems that rely on scalable and highly available data persistence layers. Contribute to architectural decisions around distributed data systems, multi-region persistence, and global scalability. Improve the reliability and performance of production datastores used by critical services. Data Performance & Optimization Partner with service teams to improve database schema design, query performance, and data modelling. Optimize data access patterns and indexing strategies for relational and NoSQL databases. Support teams in designing systems that scale efficiently under high load. Developer Experience & Platform Tooling Build and maintain self-service tooling that enables engineers to provision and manage databases and caching layers. Contribute to infrastructure automation using tools such as Terraform and internal developer platforms. Improve observability and operational insight into datastore performance and reliability. Platform Reliability & Observability Implement monitoring, metrics, and tracing strategies to improve visibility into production data systems. Develop autoscaling and performance optimization strategies for critical data infrastructure. Support operational excellence by reducing manual processes and improving system resilience. Requirements: Technical Expertise 5+ years of experience in software engineering, building and operating production systems Strong backend engineering fundamentals (e.g. Python, Java, or Kotlin) Experience working with large-scale, data-intensive systems Solid understanding of distributed systems fundamentals (e.g. scalability, latency, reliability, data consistency) Experience working in cloud environments (preferably AWS) Familiarity with relational or NoSQL databases (e.g. PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch) Data Systems & Architecture Hands-on experience with large-scale data pipelines and data processing systems Exposure to event-driven architectures, streaming or batch processing (e.g. Kafka, Spark, ETL workflows) Understanding of end-to-end data flow: ingestion (how data enters the system) transformation (how it is processed) storage & access (how other services consume it) Experience designing systems where data performance, scalability, and reliability are critical Collaboration & Engineering Mindset Ability to work cross-functionally with service teams to improve system design and data access patterns. Strong problem-solving skills with a focus on performance, scalability, and reliability. Clear communication skills and a collaborative engineering approach. What we offer: 100% paid medical care Multisport Creative tax (KUP) Home office allowance MacBook Pro Apply now If you’re excited about building developer platforms that scale, empower teams, and set new standards for engineering excellence, we’d love to hear from you. Apply via our careers page and please submit your CV in English .

🏢 Summary: Senior AWS DevOps / Platform Engineer role in a scalable fintech environment focused on AWS cloud infrastructure, CI/CD modernization, and production reliability. The position involves building and maintaining cloud-native platforms, automating infrastructure, and ensuring high availability and security of mission-critical systems. The engineer will work with global teams to drive SRE practices and continuous delivery excellence. 🗂️ Requirements: 7+ years of DevOps / Platform Engineering / SRE experience, Strong hands-on experience with AWS and networking, Strong experience with Kubernetes (EKS preferred), Strong experience with Docker, Experience building and maintaining CI/CD pipelines, Strong experience with Terraform, Experience with monitoring and observability tools, Experience supporting production environments, Experience with incident response and troubleshooting, Proficiency in Python and/or Bash, Understanding of distributed systems and microservices architectures, Knowledge of high availability systems 📃 Skills: AWS, Kubernetes, EKS, Docker, Terraform, CloudFormation, ARM, Jenkins, GitLab, Azure, GitHub, Python, Bash, Prometheus, Grafana, ELK, OpenSearch, Datadog, CloudWatch, ArgoCD, Linux 🏢 Description: 🚀 Senior AWS DevOps / Platform Engineer 📍 Remote (Poland) | Occasional visits to Warsaw 💰 Rate: up to 1,500 PLN/day We are looking for an experienced Senior AWS DevOps Engineer to join a highly scalable fintech environment. The role combines platform engineering, CI/CD modernization, cloud infrastructure, and production reliability , working closely with global engineering teams. You will support and evolve mission-critical systems used across international business units, ensuring high availability, security, and continuous delivery excellence. 💡 Your Mission ☁️ Cloud & Platform Engineering Design, build, and maintain scalable AWS-based infrastructure. Ensure high availability, resilience, and performance of distributed systems. Work with modern cloud-native architectures and microservices platforms. ⚙️ CI/CD & Automation Build and maintain CI/CD pipelines using: Jenkins GitLab CI Azure DevOps GitHub Actions Migrate and improve legacy deployment pipelines. Implement GitOps and automation best practices. 🧱 Infrastructure as Code Provision and manage infrastructure using: Terraform CloudFormation ARM templates (where applicable) Standardize infrastructure provisioning across environments. 📦 Containers & Orchestration Deploy and manage containerized workloads using Docker. Work with Kubernetes (EKS preferred). Support scaling, rollout strategies, and cluster optimization. 📊 Monitoring & Observability Implement monitoring and alerting solutions using: Prometheus Grafana ELK / OpenSearch Datadog CloudWatch Improve system visibility and proactive incident detection. 🚨 Production Support (SRE mindset) Support production environments and ensure system stability. Participate in incident management and root cause analysis. Improve MTTR and system reliability through automation. Drive SRE practices (SLI / SLO / SLA). 🔐 Security & Compliance Apply security best practices in cloud environments. Support secrets management, encryption, and access control. Work in a regulated fintech environment (compliance-aware engineering). 🎯 Must-Have Skills ✔️ 7+ years of experience in DevOps / Platform Engineering / SRE ✔️ Strong hands-on experience with: AWS (core services + networking) Kubernetes (preferably EKS) Docker ✔️ CI/CD tooling: Jenkins / GitLab CI / Azure DevOps / GitHub Actions ✔️ Infrastructure as Code: Terraform (must-have) CloudFormation or ARM templates (nice to have) ✔️ Scripting: Python and/or Bash ✔️ Strong experience with: Monitoring & observability tools Production support environments Incident response & troubleshooting ✔️ Understanding of: Distributed systems Microservices architectures High availability systems ⭐ Nice to Have Experience in fintech, banking or payment systems GitOps (ArgoCD or similar) Linux administration Security tooling (OWASP, scanning, secrets management) Experience with Java-based systems Cloud certifications (AWS / Azure) 🎁 What You’ll Get ✨ Work on large-scale fintech platforms with global reach ✨ Strong engineering culture focused on automation & reliability ✨ Exposure to modern AWS + Kubernetes ecosystems ✨ Real impact on CI/CD and platform architecture ✨ Hybrid/remote flexibility (Poland-based) ✨ Long-term stable project environment ✨ Opportunity to work with experienced DevOps & SRE teams 🚀 Ready to build and scale cloud platforms that power global fintech systems? Join us and help shape a modern AWS-driven DevOps & platform engineering environment focused on automation, reliability, and continuous delivery.

🏢 Summary: Senior DevOps Engineer role focused on designing and scaling next-generation CI/CD platforms supporting high-volume builds and deployments across diverse systems (IoT, web, mobile, backend, data, ML). The position combines hands-on platform engineering with technical leadership, driving CI/CD strategy, cloud infrastructure, and developer enablement. The role directly impacts reliability, security, and scalability of developer tooling used by hundreds of engineers. 🗂️ Requirements: 7+ years of experience in software engineering or DevOps, Experience designing and operating large-scale distributed systems, Hands-on experience with AWS, Strong knowledge of Kubernetes and containerized environments, Experience with CI/CD platforms and build systems, Proficiency in at least one programming language: Kotlin, Go, or Python, Experience with Jenkins and GitHub Actions, Experience with Gradle and Artifactory 📃 Skills: Jenkins, GitHub, GitHubActions, Gradle, Artifactory, Kubernetes, AWS, Kotlin, Go, Python, CI/CD, Docker 🏢 Description: We are hiring on behalf of our client, a global innovator in fitness and wellness technology. Their mission is to empower people to live fit, strong, long, and happy lives by delivering integrated experiences to millions of members anytime, anywhere. As a Senior DevOps Engineer , you will join the Platform team , responsible for designing and evolving next-generation CI/CD platforms used by hundreds of engineers across the organization. Your work will directly impact how fast, safely, and reliably products are built and delivered across a diverse technology landscape — from IoT and firmware to web, mobile, backend, data, and machine learning systems. This is a senior, hands-on role with strong technical leadership expectations. You’ll influence platform strategy, guide engineering teams in adopting modern CI/CD solutions, and help scale developer infrastructure capable of supporting thousands of daily builds and deployments. Key takeaways: Stack: Jenkins, GitHub Actions, Gradle, Artifactory, Kubernetes, AWS Salary: 27 000 PLN - 33 000 PLN gross on the Contract of Employment Working model: Hybrid - 3x weekly from the office Location: ul. Grzybowska 60, Warsaw Recruitment process: A call with Motife recruiter (30 min) Interview with the Hiring Manager (1h) Interviews panel (debugging / break-fix style interview, architecture or system design discussion; up to 3h in total) Responsibilities: Platform Architecture & CI/CD Design, build, and maintain scalable CI/CD platforms capable of handling high build and deployment volumes Architect and support systems using Jenkins, GitHub Actions, Gradle, and Artifactory Ensure reliability, extensibility, and security of developer tooling Technical Leadership Act as a technical leader within the team, promoting a strong platform-thinking mindset Influence technology investments and architectural decisions across partner teams Support peers in design reviews, execution planning, and complex problem-solving Developer Experience & Enablement Continuously improve self-service infrastructure and automation tooling Partner with internal teams to identify bottlenecks and optimize build and delivery workflows Advocate for best-in-class developer experience across the organization Quality, Standards & Roadmapping Promote best practices in architecture, testing, documentation, and agile delivery Review platform designs, technical decisions, and code to ensure high quality and scalability Contribute to planning and execution of long-term technology roadmaps Requirements: Technical Expertise 7+ years of experience in software engineering or DevOps roles Strong experience designing and operating large-scale, distributed systems Hands-on experience with cloud platforms (AWS preferred) Solid understanding of containerized environments and orchestration (Kubernetes) Programming & Tooling Practical experience with at least one high-level programming language (Kotlin, Go, or Python) Familiarity with modern CI/CD ecosystems and build tooling Experience supporting diverse engineering domains (backend, frontend, mobile, data, IoT) is a strong plus Mindset & Collaboration Strong focus on improving developer experience and productivity Pragmatic approach to engineering, with a deep understanding of trade-offs Confident communicator who enjoys collaborating across teams Comfortable challenging ideas, making compromises, and driving alignment What we offer: 100% paid medical care, Multisport, Creative tax (KUP) Home office allowance MacBook Pro Apply now If you’re excited about building developer platforms that scale, empower teams, and set new standards for engineering excellence — we’d love to hear from you. Apply via our careers page and please submit your CV in English .

🏢 Summary: The offer is for a Senior Platform Engineer responsible for designing, building, and operating a scalable internal developer platform on AWS, combining DevOps and development expertise. The role focuses on Infrastructure as Code, multi-account cloud governance, CI/CD automation, container platforms, and secure networking. The engineer will enable distributed teams through self-service tools, platform standards, and reliable production operations. 🗂️ Requirements: 4+ years experience as Platform Engineer or DevOps Engineer, Hands-on experience with AWS multi-account environments, Strong expertise in Terraform (modules, state management, guardrails), Experience operating EKS and/or ECS in production, Experience with CI/CD and GitHub-based workflows, Knowledge of OIDC and least-privilege deployment patterns, Understanding of IAM, SCPs, permissions boundaries, Experience with cloud security and secure networking, Experience with monitoring, logging, alerting, incident handling, Professional development experience in Java, Kotlin, Node.js or TypeScript, Ability to work with container-based workloads 📃 Skills: AWS, Terraform, EKS, ECS, CI/CD, GitHub, OIDC, IAM, SCP, VPC, TGW, Route53, SSO, CDK, Java, Kotlin, Spring, Node.js, TypeScript, Docker, Kubernetes 🏢 Description: Job Purpose We are looking for a Senior Platform Engineer with strong DevOps experience , combining deep operational expertise with a development background. You are comfortable working at the intersection of infrastructure, security, and application development, and you enjoy enabling other teams to move faster through well-designed platforms and abstractions. You bring both a builder and operator mindset: you design scalable systems, automate everything possible, and take ownership of platform reliability in production. We offer B2B Contract (remote) or Offer of Employment/Umowa o prace (4 days mandatory working from our office in Kraków) - details to be discussed with your recruiter. Key Responsibilities Build and maintain core platform components (SSO, Access Management, clusters, networking, CI/CD, observability). Own Terraform modules, baseline configurations, and guardrails for distributed teams. Design and evolve platform “golden paths” — secure defaults, templates, and standards. Maintain platform IaC (Terraform, modules, state design, multi-account governance). Integrate with team-owned CDK stacks through stable platform contracts. Lead evolution of platform abstraction layers and service catalogs. Design and manage multi-account AWS landing zone (Orgs, SCPs, permissions boundaries). Own developer onboarding patterns (IAM SSO access, automation, pipelines). Build safe cross-account deployment workflows (GitHub OIDC, least privilege). Design and operate ECS and EKS clusters used by hundreds of services. Establish best practices for container execution, networking, autoscaling Manage central networking components (VPC, TGW, Route53). Ensure secure east–west communication between workloads in different accounts. Provide self-service tools and templates for teams (pipelines, service definitions, actions). Abstract platform complexity to enable fast and safe deployments for all teams. Own documentation, workshops, patterns, and architectural guidance. Operate and evolve platform-wide logging, metrics, and tracing systems. Ensure operational standards for platform components. You are meant for this job if: Strong experience as a Platform Engineer / DevOps Engineer operating production systems at scale Proven +4 years hands-on expertise with AWS , especially multi-account environments and organizational governance Deep understanding of Infrastructure as Code , particularly Terraform (modules, state management, guardrails) Solid experience running and operating EKS and/or ECS in production Strong background in CI/CD , GitHub-based workflows, and secure deployment patterns (OIDC, least privilege) Experience designing developer platforms and internal tooling for self-service and standardization Strong understanding of cloud security , IAM, SCPs, permissions boundaries, and secure networking Operational excellence mindset: monitoring, logging, alerting, SLOs, and incident handling In addition to infrastructure and operations, you have hands-on development experience , allowing you to collaborate closely with application teams and design pragmatic platform contracts: Professional experience developing services in one or more of: Java / Kotlin (Spring Boot) Node.js / TypeScript Familiarity with modern API design, service runtime concerns, and container-based workloads Ability to read, debug, and contribute to application code when needed

🏢 Summary: Senior Python Engineer role focused on building and scaling a cloud-native real-time Data Platform handling massive datasets. The position involves developing high-performance backend services, optimizing distributed systems, and integrating large-scale data storage solutions. Hybrid work model in Warsaw with employment benefits including private medical care and multisport card. 🗂️ Requirements: 8+ years of backend software development experience, Advanced Python expertise, Experience with scalable production-grade systems, Knowledge of concurrency and multiprocessing, Experience with Pandas or NumPy, Experience with Parquet or JSON data formats, Knowledge of relational and NoSQL databases, Experience with performance optimization and low-latency systems, Ability to use AI-assisted development tools responsibly 📃 Skills: Python, Pandas, NumPy, Parquet, JSON, SQL, NoSQL, API, OOP, Concurrency, Multiprocessing, Algorithms, Databases, Cloud 🏢 Description: For our client, a leading, high-growth global fintech company – we are looking for an experienced Senior Python Engineer to join a key engineering team responsible for the company’s core data foundation. The project focuses on building, optimizing, and scaling a cloud-native, high-throughput Data Platform designed to ingest, process, and distribute massive datasets in real-time. This platform serves as the backbone for various downstream analytical systems, requiring extreme reliability, performance, and scalability. This is a fantastic opportunity for a strong Python generalist who enjoys solving complex distributed system problems, optimizing data flows, and working with modern cloud architectures. Responsibilities Backend & Pipeline Development: Design and develop scalable backend services and high-performance data processing pipelines using Python. Performance Tuning: Identify bottlenecks and optimize system performance, focus on concurrency, throughput, and low-latency execution. Data Integration & Storage: Build robust integrations with modern cloud-native storage solutions and databases to manage large-scale datasets efficiently. Collaborative Engineering: Work closely with cross-functional technical teams to understand data requirements and deliver reliable API services and platform features. Engineering Excellence: Maintain top-tier coding standards, emphasizing clean code, robust testing (unit/integration), automation, and security. Requirements 8+ years of professional backend software development experience (with a strong track record in building scalable, production-grade systems). Deep expertise in Python (advanced OOP, concurrency/multiprocessing, memory management, data structures, and algorithms). Solid experience with data-centric libraries such as Pandas, NumPy, or similar data processing frameworks. Experience with large-scale data storage formats (e.g., Parquet, JSON, or column-oriented databases) and relational/NoSQL databases. AI-assisted development mindset: Comfortable utilizing AI tools  to accelerate delivery, while maintaining strong developer judgment regarding validation, testing, security, and refactoring. What our client offers: Hybrid work model in Warsaw (minimum 3 days a week in the office - strictly non-negotiable). Contract of Employment (UoP) with increased tax-deductible costs (KUP). Private medical care (including full dental care). Lunch card to cover your daily meals. Multisport card.

🏢 Summary: Senior or Staff Backend Engineer role focused on architecting and scaling AI-native backend systems for a modern accounting platform. The position involves designing distributed services, building high-performance APIs, and establishing engineering standards to support rapid, reliable product delivery. You will work closely with Product, AI, and Operations teams to develop agentic systems and scalable data pipelines. 🗂️ Requirements: 5–10+ years of backend engineering experience, Proven experience designing, building, and operating production backend systems at scale, Strong expertise in API design, Strong expertise in data modelling, Deep understanding of distributed systems trade-offs, Hands-on experience with AWS or GCP in production, Practical experience with CI/CD in high-frequency deployment environments, Experience implementing testing and deployment strategies, Strong knowledge of observability practices, Experience participating in on-call rotations 📃 Skills: TypeScript, Node.js, React, AWS, GCP, Terraform, PostgreSQL, OpenAI, Azure, CI/CD, APIs, DistributedSystems 🏢 Description: ABOUT THE ROLE We're looking for a Senior or Staff Backend Engineer to own and evolve our backend services as we scale. This is a broad, high-impact role — you'll architect new features, build the systems that underpin our core product, and set the engineering standards that shape how the whole team works. The focus is on building a modern, AI-native developer experience. That means working closely with Product, AI, and Operations teams to design agentic systems, distributed data pipelines, and scalable incident response infrastructure — and doing it in a way that lets the team ship with confidence multiple times a day. WHAT YOU'LL WORK ON Architecture and feature design Partner with Product, AI, and Operations teams to architect new features and complex agentic systems. Make clear architectural trade-offs that balance platform, product, and business goals. Backend services and APIs Build and maintain the backend services and APIs that power the core product. Ensure systems are secure, well-tested, and high performance. Distributed systems Design and implement distributed services to orchestrate data pipelines, automate investigations, and enable incident response at scale. Operational excellence Own operational best practices so the team can ship multiple times a day with confidence. Healthy on-call culture and strong observability are part of what you'll build and maintain. Engineering standards Set the bar for writing, communication, and system design across the team. Your influence will shape how a modern AI-native product is built. WHAT WE LOOK FOR 5–10+ years of backend engineering experience A strong track record designing, building, and operating production backend systems at scale. Deep backend fundamentals Expertise in API design, data modelling, and reasoning about distributed systems trade-offs. You understand the nuances, not just the patterns. AWS or GCP hands-on experience Solid understanding of how infrastructure decisions impact application reliability and performance. You've run things in production, not just designed them. CI/CD in practice Practical experience with testing and deployment strategies in high-frequency shipping environments. Observability and on-call maturity A solid grasp of what good observability looks like and how to build healthy on-call practices that don't burn people out. Bonus Experience at an early-stage or scaling startup. Exposure to modern AI and ML systems. Experience shipping product without a dedicated product manager. TECH STACK TypeScript, React, Node.js, AWS, Terraform, PostgreSQL, OpenAI, Azure AI. The team uses GitHub, Slack, Linear, Figma, and Notion day to day. THE TEAM Small, senior, and in-person. The office is in central Wrocław, next to the main train station. The expectation is 4–5 days a week in the office. Relocation support is available for the right candidate. COMPENSATION & BENEFITS Salary $130,000 – $190,000 USD depending on experience, plus competitive equity. Wellness and commute stipend $100 per month. Hardware Premium hardware provided — MacBook Pro and AirPods. Food Daily in-office lunch and dinner. Time off 20 PTO days plus 9 US public holidays. Relocation Support available for candidates relocating to Wrocław.

🏢 Summary: Senior Platform Engineer role focused on building high-performance internal platform products and APIs for a global trading environment, treating infrastructure as software. The position centers on developing production-grade Go/Python solutions, Kubernetes Operators, and automation to enable scalable, resilient systems. It combines platform engineering, SRE practices, and hybrid cloud integration in a low-latency setting. 🗂️ Requirements: 7+ years experience in SRE or Platform Engineering, Strong software engineering mindset, Expert-level Go or Python proficiency, Ability to build full products/services in Go or Python, Deep knowledge of Kubernetes, Experience building Kubernetes controllers/operators, Proficiency in Terraform (IaC), Experience automating SDLC processes, Experience designing RESTful APIs, Experience with observability in distributed systems, Solid understanding of AWS, Experience integrating cloud with on-premises environments 📃 Skills: Go, Python, Kubernetes, Terraform, AWS, REST, SDLC, Observability, IaC 🏢 Description: Senior Platform Engineer Are you an engineer who views infrastructure as a software problem? We are looking for a Senior Platform Engineer to join our global Platform Engineering team. In this role, you won't just be managing cloud resources—you will be architecting and building high-performance internal products that empower our quants and traders to operate at the highest level. The Offer Salary: Up to 50,000 PLN gross/month (UoP). Location: Hybrid ( 3 days a week from our Warsaw office). Impact: Build internal products and APIs that define how our global teams deploy and scale. Modern Tech: Focus on writing production-grade Go/Python and building K8s Operators . Environment: A high-stakes trading sector where engineering excellence and code quality are the standard. Core Responsibilities Product Engineering: Develop and architect common platform solutions with a focus on high-quality, maintainable code. Developer Autonomy: Build internal APIs and custom tooling to streamline the developer experience across the firm. Infrastructure as Software: Write production-grade code (Go/Python) for infrastructure automation, optimization, and custom orchestration. SRE Advocacy: Champion SRE practices by implementing testable, resilient, and highly available software solutions. High-Performance Collaboration: Partner with Quant and Trading teams to optimize service stability and performance in a low-latency environment. Requirements Experience: 7+ years in SRE or Platform Engineering roles with a strong Software Engineering mindset . Coding Mastery: Exceptional skills in Go or Python (you should be comfortable building full products/services, not just basic scripts). K8s Expertise: Deep knowledge of Kubernetes , including orchestration and building custom controllers/operators . Automation: Proficiency in Terraform (IaC) and experience automating complex SDLC processes. System Design: Experience with RESTful APIs and building observability for complex distributed systems. Hybrid Cloud: Solid understanding of AWS and managing integration with on-premises environments. Why Join Us? This isn't a traditional "Ops" role. We are building a platform that functions as a product. If you are a software engineer who is passionate about infrastructure, scalability, and clean code, you will thrive in our culture of technical rigor and innovation. Apply today to help us build the backbone of global institutional investing.

🏢 Summary: Senior Data Engineer role focused on designing and building scalable serverless data ingestion pipelines in AWS within the healthcare domain. The position emphasizes strong Python engineering, cloud architecture leadership, and implementation of modern data platforms and DevOps practices. The role involves driving technical excellence and delivering reliable, high-impact data solutions in an international environment. 🗂️ Requirements: 10+ years of experience in Python programming, Strong software engineering skills in data processing, Extensive experience with AWS Cloud and Serverless Architecture, Hands-on experience with AWS Lambda, S3, and Cognito, Experience building E2E automated tests for data pipelines, Practical knowledge of Data Mesh and Medallion Architecture, Experience with Infrastructure as Code using AWS CDK or Terraform, Experience with CI/CD pipelines using GitLab or GitHub Actions, Experience with ETL/ELT processes and dbt, Experience working with GraphQL, Minimum B2 level English proficiency 📃 Skills: Python, AWS, Lambda, S3, Cognito, Boto3, DataMesh, Medallion, CDK, Terraform, GitLab, GitHubActions, ETL, ELT, dbt, GraphQL, CI/CD 🏢 Description: We are looking for a highly skilled Data Engineer to join our client in the healthcare sector. Our requirements: Technical Expertise: Python Programming: 10+ years of experience with strong Software Engineering skills focused on data processing. AWS & Serverless: Extensive experience with AWS Cloud, specifically focusing on Serverless Architecture and services (including AWS Lambda , AWS S3 Tables , and AWS Cognito ). Automated Testing: Proven experience in developing End-to-End (E2E) automated tests to ensure pipeline reliability, utilizing tools such as Boto3 for AWS resource validation. Data Concepts: Practical knowledge of Data Mesh and Medallion Architecture , along with general data processing and analysis. DevOps & IaC: Hands-on experience with Infrastructure as Code ( AWS CDK or Terraform ) and CI/CD pipelines ( GitLab pipelines or GitHub Actions ). Modern Tooling: Experience with ETL/ELT solutions, dbt , and GraphQL . Communication & Soft Skills: English Language: Minimum B2 level , enabling smooth daily technical and business communication in a global environment. Collaboration: Excellent communication skills and the ability to thrive in a collaborative, international team. Standards: A strong commitment to high standards of ethics, quality (Clean Code), and reliable delivery. Nice to have: Experience with Snowflake and SQL . Knowledge of Data Vault 2.0 modeling. Experience with Databricks . Familiarity with the Microsoft ecosystem: C# / .Net, T-SQL, SQL Server , and Azure DevOps . Experience with Star Schema database modeling. Knowledge of Descriptive Statistics. Your responsibilites: Design and build scalable Data Ingestion pipelines within the AWS cloud ecosystem. Lead technical delivery and implementation of core platform components, ensuring architectural integrity across the entire data lifecycle. Collaborate with Engineering Managers and cross-functional teams across the globe and Poland. Drive technical excellence by improving team processes, architecture standards, and engineering best practices. Support and consult with stakeholders to ensure successful delivery of high-impact, data-driven solutions. Contribute to the growth and maturity of the team’s cloud and data engineering capabilities. We offer: Challenging role within the company that creates innovative solutions. Work in international environment on demanding projects. Remote work model. Subsidized private medical care, life insurance, multisport card. Integration meetings. Employee referral program. If you have a deep expertise in Python and AWS , and building scalable Serverless data architectures is where you truly excel, this is the perfect role for you!

🏢 Summary: Senior Software Engineer role focused on designing and operating scalable backend microservices that power AI-driven content features such as search, voice, subtitles, and translations. The position combines hands-on backend development with technical leadership in an agile team, integrating hosted AI/NLP models into production systems. The role emphasizes high availability, performance, and cloud-native architecture in a hybrid work model in Warsaw. 🗂️ Requirements: 6+ years of experience building scalable backend cloud systems, Degree in Computer Science, Engineering, Mathematics or related field, Strong proficiency in Kotlin or Python, Experience with Spring Boot or similar JVM/Python frameworks, Experience designing APIs using REST, gRPC or GraphQL, Experience with relational and NoSQL databases, Hands-on experience with AWS and containerization, Experience with Kubernetes and CI/CD pipelines, Knowledge of distributed systems and system design, Experience with monitoring, performance optimization and production troubleshooting 📃 Skills: Kotlin, Python, Spring, REST, gRPC, GraphQL, PostgreSQL, MySQL, DynamoDB, MongoDB, Elasticsearch, Redis, AWS, Docker, Kubernetes, Terraform, GitHub, Datadog, CI/CD 🏢 Description: We are hiring on behalf of our client, a global innovator in fitness and wellness technology. Their mission is to empower people to live fit, strong, long, and happy lives by delivering integrated experiences to millions of members anytime, anywhere. We are looking for a Senior Software Engineer to join the Content AI team in Warsaw. This team applies AI to content-related processes, including search, voice assistant capabilities, subtitles, live captions, translations, metadata tagging, and content generation workflows. In this role, you will act as a technical lead within an agile engineering team, designing and operating scalable microservices that support AI-powered content features. The focus is on backend engineering, production systems, and technical leadership rather than building AI models from scratch. Key takeaways: Stack : Kotlin, Spring Boot, REST, gRPC, GraphQL, PostgreSQL/MySQL/DynamoDB/MongoDB, Elasticsearch, Redis, AWS, Docker, Kubernetes, Terraform, GitHub Actions, Datadog Salary : 26 000 PLN - 32 000 PLN gross on the Contract of Employment Working model : Hybrid - 3 days/week from the office Location : ul. Grzybowska 60, Warsaw Recruitment process : A call with MOTIFE Recruiter Hiring Manager screening Coding interview Panel interviews with the team (coding, architecture, and cross-collaboration interviews, Hiring Manager meeting) Responsibilities: Design, develop, and operate scalable backend APIs and microservices powering search, voice, subtitles, captions, translations, and content workflows. Lead technical discussions, architecture reviews, design decisions, and task breakdowns within the engineering team. Build services with a focus on high availability, low latency, security, scalability, and maintainability. Work with ML Engineers to integrate hosted NLP, ASR, and AI models into production backend systems. Architect reusable code, libraries, patterns, and standards that can be adopted across teams. Use monitoring, tracing, profiling, and load-testing tools to identify bottlenecks and improve production performance. Champion engineering best practices, including CI/CD, test automation, feature toggles, logging, monitoring, and reliable release processes. Mentor engineers through code reviews, pair programming, technical guidance, and incident response leadership. Requirements: 6+ years of software development experience building high-performance, scalable backend cloud application systems. BS or MS degree in Computer Science, Engineering, Mathematics, or a related technical field. Strong expertise in Kotlin, Python, or similar backend programming languages. Strong experience with backend frameworks such as Spring Boot, Bottle, Gunicorn, or similar JVM/Python frameworks. Experience designing and building APIs using REST, gRPC, or GraphQL. Experience with relational and NoSQL databases such as PostgreSQL, MySQL, DynamoDB, or MongoDB. Hands-on experience with AWS, Docker, Kubernetes, CI/CD, and infrastructure tooling such as Terraform, GitHub Actions, or Jenkins. Strong understanding of distributed systems, Elasticsearch optimization, caching, observability, security, performance optimization, production troubleshooting, and incident response. Nice to have: Experience working on AI-powered products, model-serving systems, or backend services that integrate with ML models. Experience with NLP, ASR, voice assistants, chatbots, search platforms, live captions, subtitles, translations, or content metadata workflows. What we offer: 100% paid medical care Multisport Creative tax (KUP) Home office allowance MacBook Pro Apply now If this sounds like your next step, we’d love to hear from you! Please apply via our careers page and submit your CV in English.