Senior DevOps Engineer

🏢 Summary: Site Reliability Engineer role focused on leading the cloud platform layer of a large-scale enterprise migration to GCP, with full ownership of observability and FinOps capabilities. The position involves architecting cost attribution, distributed tracing, monitoring, and performance engineering solutions in a production-grade Kubernetes environment. You will work on complex distributed systems, extending multi-language codebases and managing infrastructure as code in a regulated enterprise setting. 🗂️ Requirements: 4–6 years software or DevOps engineering experience, 2–3 years hands-on cloud infrastructure management in production, Strong GCP expertise including GKE and Cloud Run, Proven experience building observability solutions with OpenTelemetry, Experience with distributed tracing and profiling in distributed systems, Advanced Python scripting for automation and tooling, Strong Terraform proficiency with multi-environment setups, Ability to read and modify Kotlin and Java codebases, Experience implementing monitoring, alerting, and SLOs for containerized/serverless services, Experience with infrastructure cost attribution and cloud billing APIs 📃 Skills: GCP, GKE, CloudRun, Kubernetes, OpenTelemetry, Terraform, Python, Kotlin, Java, FinOps, PubSub, Bigtable, Docker, SLO, Tracing 🏢 Description: We are looking for a Site Reliability Engineer to join a high-stakes global tech ecosystem and drive the delivery of a critical enterprise platform migration to the cloud. Your core mission will be to architect, build, and productionalize the observability and cost intelligence (FinOps) layer for a massive, multi-year financial platform transformation. You will take end-to-end ownership of the cloud platform layer, giving internal stakeholders full visibility into platform behavior, performance, and infrastructure spend. Working alongside a nearshore team of senior engineers, you will solve highly complex architectural challenges in a production-grade, distributed system. Responsibilities: End-to-End Infrastructure & FinOps Ownership: Architect and implement a cloud usage and cost attribution dashboard, providing detailed per-pod and per-service cost breakdown using cloud billing APIs and internal FinOps hubs. Advanced Observability & Tracing: Instrument end-to-end distributed tracing using OpenTelemetry, configuring collectors within Kubernetes environments and exporting traces to cloud monitoring systems utilizing RED metrics. Performance Engineering & Stress Testing: Write custom tooling from scratch to deliver database performance monitoring, load testing, and trend analysis for critical underlying storage layers. Monitoring & Alerting Automation: Build and deploy scalable production monitoring, custom alerting policies, and SLO tracking for containerized and serverless services. Infrastructure as Code: Independently manage, write, and apply infrastructure modifications using Terraform, working within established enterprise repository standards, modules, and environment state management. Cross-Language Codebase Extension: Read, debug, and extend existing platform code across a diverse stack including Kotlin, Java, and Python to seamlessly integrate technical metrics without disrupting business logic. Quality & Release Assurance: Implement rigorous unit testing with high code coverage for all newly developed monitoring tools to comply with strict enterprise quality gates and sign-offs. Min requirements: Experience: 4 to 6 years of professional software or DevOps engineering experience, with at least 2 to 3 years of hands-on cloud infrastructure management in production. Advanced Cloud Infrastructure: Deep operational proficiency with Google Cloud Platform (GCP), specifically with managing and configuring workload-level alerting on Google Kubernetes Engine (GKE) and Cloud Run. Observability & OpenTelemetry: Proven track record of building observability solutions in distributed systems, using OpenTelemetry (both auto and manual instrumentation) alongside distributed tracing and profiling tools. Strong Automation Scripting: Intermediate-to-advanced fluency in Python for writing custom test tooling, metrics integration scripts, and backend automation from scratch. Solid Infrastructure as Code: Strong proficiency in Terraform, including experience with multi-environment setups, workspaces, and corporate module standards. Polyglot & JVM Familiarity: Practical ability to read, understand, and modify existing backend codebases written in Kotlin and Java. Crucial Non-Technical Skills: Extreme technical autonomy to resolve blockers independently, rapid onboarding skills into large unfamiliar codebases, and fluent written English for async alignment and pull requests. Process Alignment: Ability to thrive in a highly regulated enterprise environment with strict peer reviews, robust documentation requirements, and formal deployment procedures. Would be a plus: Domain Knowledge: Previous experience working within financial services, fintech, investment banking, or other highly regulated industries. Enterprise Streaming Tools: Working knowledge of cloud messaging systems (such as Cloud Pub/Sub) utilized for inter-service communication. Advanced Storage Engines: Familiarity with high-throughput distributed database architectures, such as Google Cloud Bigtable. Systems Languages Awareness: Ability to read or debug foundational code written in low-level systems languages like Rust or C++ during multi-stack production deployments. We offer: Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office About us: Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

🏢 Summary: This role focuses on optimizing and validating large-scale machine learning workloads within a High-Performance Computing and compiler infrastructure environment. The engineer will manage performance benchmarking pipelines, conduct root-cause analysis of regressions, and automate infrastructure for reliable performance testing. It is a high-impact position centered on performance engineering, automation, and system-level debugging for next-generation hardware. 🗂️ Requirements: Strong proficiency in Python, Hands-on experience with SQL, Deep knowledge of Linux/Unix environments, Experience with Bash scripting, Ability to debug complex system-level issues, Experience with performance benchmarking and analysis, Clear technical documentation skills 📃 Skills: Python, SQL, Linux, Unix, Bash, HPC, CI/CD, Bazel, CMake, JAX, PyTorch, TensorFlow, GPU 🏢 Description: We are looking for an experienced Software Engineer in Performance Infrastructure to join our team. This position is part of a high-impact project for a world-renowned global tech leader and AI innovator . You will be focused on optimizing large-scale machine learning workloads for next-generation hardware within a High-Performance Computing (HPC) and Compiler Infrastructure environment. Your core mission will be to manage the end-to-end health, precision, and reliability of performance benchmarking pipelines, working at the intersection of automated infrastructure and performance engineering. Responsibilities: Performance Analysis & Validation: Evaluate results from automated benchmarking suites to detect and analyze performance shifts and shifts in metrics. Root-Cause Analysis: Perform deep-dive root-cause analysis on bisection results to identify specific code changes responsible for performance regressions. Infrastructure Automation: Develop and maintain Python-based tooling for benchmark automation, hardware configuration management, and automated data recovery. System Debugging: Troubleshoot failures within the benchmarking pipeline, including script errors, environment misconfigurations, and resource allocation issues in distributed clusters. Data Pipelines & Dashboards: Maintain and enhance data pipelines and visualization tools to ensure high-fidelity performance metrics are consistently available for engineering teams. Technical Documentation: Develop and maintain engineering playbooks and best practices to improve consistency in performance testing and incident investigation. Min requirements: Strong proficiency in Python for systems automation, data processing, and integration. Hands-on experience with SQL for querying large datasets and managing performance metrics. Deep knowledge of Linux/Unix environments, shell scripting (Bash), and command-line development. Exceptional analytical and problem-solving skills with the ability to debug complex system-level issues. Clear written communication skills for documenting technical investigations and collaborating across globally distributed teams. Would be a plus: Practical experience with distributed build and test systems (e.g., Bazel / CMake ). Strong familiarity with CI/CD pipelines and automated regression testing. Basic understanding of hardware accelerators ( GPUs ) or machine learning frameworks (e.g., JAX, PyTorch, TensorFlow ). Background in Performance Engineering or SRE (Site Reliability Engineering). We offer: Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office About us: Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

🏢 Summary: Senior Big Data Developer role focused on full ownership of a modern AWS-based data platform, including architecture, infrastructure, and performance optimization. The position involves building end-to-end data pipelines, managing cloud infrastructure as code, and implementing a scalable data lakehouse using advanced big data frameworks. The role emphasizes deep AWS expertise, Spark-based processing, and workflow orchestration in a high-performance environment. 🗂️ Requirements: Expert-level Core Python proficiency, Strong experience with PySpark and Apache Spark, Extensive hands-on experience across AWS services (S3, Lambda, EMR, Redshift, Glue, VPC, ECS, ECR, SQS), Strong proficiency in AWS CDK and AWS CLI, Experience designing and managing Airflow workflows, Experience with Apache Iceberg table format, Advanced SQL skills, Experience with REST API integration, Proficiency in Bash scripting, Experience with infrastructure-as-code and cloud security (IAM, KMS, Secrets Manager) 📃 Skills: Python, PySpark, Spark, AWS, S3, Lambda, EMR, Redshift, Glue, VPC, ECS, ECR, SQS, CDK, CLI, Airflow, StepFunctions, Iceberg, SQL, REST, Bash, IAM, KMS, Athena, RDS, Pydantic, Alembic 🏢 Description: We are looking for a Senior Big Data Developer to join our team and take full ownership of a modern, high-performance data platform. Essential functions End-to-End Data Engineering: Design and build complex ingestion and transformation pipelines using Python (PySpark) and Apache Spark. Cloud Infrastructure Ownership: Take full responsibility for our AWS environment, utilizing AWS CDK to manage everything from VPCs and Load Balancers to EMR clusters and ECS containers. Orchestration & Workflow: Develop and manage sophisticated data workflows using Airflow (MWAA) and AWS Step Functions. Modern Data Lakehouse: Implement and optimize storage layers using Apache Iceberg and Redshift, adhering to Medallion Architecture and advanced design patterns. Infrastructure-as-Code: Architect self-healing and scalable infrastructure through AWS CDK, ensuring security and compliance via IAM, KMS, and Secret Manager. Performance Tuning: Monitor and optimize query performance across Athena, Glue, and RDS to ensure low-latency data access. Qualifications Python Mastery: Expert-level proficiency in Core Python, including experience with Pydantic and Alembic. Deep AWS Expertise: Extensive hands-on experience across the AWS ecosystem (S3, Lambda, EMR, Redshift, Glue, VPC, ECS, ECR, SQS). IaC & Automation: Strong proficiency in AWS CDK and the AWS CLI; ability to manage your own cloud infrastructure independently. Big Data Frameworks: Proven experience with Apache Spark (PySpark) and modern table formats like Apache Iceberg. Data Orchestration: Hands-on experience with Airflow for managing complex data lifecycles. SQL & APIs: Advanced SQL skills and a solid understanding of REST API integration. Scripting: Proficiency in Bash for system-level automation. Would be a plus Backend Engineering Background: Prior experience in software engineering (beyond just data) is a major plus, specifically building scalable microservices. Familiarity with distributed design patterns and data governance. We offer Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office About us Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

🏢 Summary: On-site QA Automation & Release Engineer role focused on owning end-to-end deployments and quality across retail stores and physical devices. The position combines QA, release management, and DevOps responsibilities, ensuring stable CI/CD pipelines and reliable production releases. It requires close collaboration with US stakeholders and hands-on management of retail and mobile systems. 🗂️ Requirements: On-site availability in Gdańsk 4-5 days per week, Ability to work shifted schedule aligned with US stakeholders, Experience with POS systems, Familiarity with mobile development, Hands-on experience with Jenkins, GitHub, Splunk, AWS tools, IAAS, ServiceNow, JIRA, Confluence, Experience managing CI/CD pipelines and release processes, Experience with risk management and production change management, Ability to perform root cause analysis using metrics and data, Understanding of agile methodologies and operational readiness practices 📃 Skills: Jenkins, GitHub, Splunk, AWS, IAAS, ServiceNow, JIRA, Confluence, CI/CD, POS, Agile, DevOps, Automation, Metrics, Mobile 🏢 Description: We are looking for a highly technical QA Automation & Release Engineer to take ownership of code deployments and quality across retail stores and physical devices. This role sits at the critical intersection of quality assurance, release management, and DevOps. 🚨 IMPORTANT - PLEASE READ BEFORE APPLYING: Location: This role requires working on-site from our customer’s office in Gdańsk 4-5 days a week . It is NOT a remote position. Working Hours: You must be able to work a shifted schedule to align with U.S.-based stakeholders. Responsibilities: Deployment & Release Management: Own all change activity from planning and testing to deployment and validation across retail stores and mobile devices. CI/CD & Process Optimization: Audit, troubleshoot, and improve CI/CD pipelines to ensure absolute operational stability during deployments. Risk & Contingency: Develop robust risk management and contingency plans for production changes. Manage "go/no-go", checkpoint, and retrospective meetings. Root Cause Analysis: Apply structured problem-solving to debug complex systems, identify bottlenecks using data/metrics, and propose engineering solutions. Stakeholder Alignment: Partner closely with product, engineering, and support teams in the US to drive release scheduling and strategic initiatives. Min requirements: Retail Tech: Proven experience working with POS (Point of Sale) systems and familiarity with Mobile Development. Tooling: Strong hands-on experience with Jenkins, GitHub, Splunk, AWS engineering tools, IAAS, ServiceNow, and JIRA/Confluence. CI/CD & Automation: Deep understanding of agile methodologies, release processes, and applying operational readiness to complex feature implementations. Data-Driven Quality: Ability to use metrics and data to assess system behavior and drive automation best practices. Communication: Superior presentation skills with the ability to translate complex technical issues to cross-functional leadership. We offer: Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office About us: Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

🏢 Summary: Fullstack (Kotlin + React) role focused on delivering a production-grade internal operations application critical to a cloud platform cutover, while supporting infrastructure observability. The position combines complex frontend state management and RBAC with JVM backend development and GCP-based cloud deployments. It requires strong autonomy in navigating legacy systems and ensuring high-quality, regulated releases. 🗂️ Requirements: 3–5 years professional software engineering experience, Minimum 2 years building complex frontend applications in production, Proficiency in React and TypeScript, Experience with complex state management (Redux or Context API), Implementation of frontend RBAC and user rights management, At least 1 year experience with Kotlin or other JVM language, Ability to read and modify Java codebases, 1–2 years hands-on experience with GCP, Experience with GKE, Cloud Run, and Terraform, Strong SQL skills with complex queries, Experience with Apache Airflow workflows, Experience with unit and integration testing with high code coverage, Ability to work within strict PR and peer review processes, Fluent written English 📃 Skills: Kotlin, Java, React, TypeScript, Redux, ContextAPI, GCP, GKE, Kubernetes, CloudRun, Terraform, SQL, Airflow, Python, RBAC, Spring, Ktor, Bigtable, Kafka, C++ 🏢 Description: We are looking for a Fullstack developer (Kotlin+React) to join a regulated, high-stakes global tech ecosystem and drive the delivery of critical enterprise infrastructure. Your core mission will be split between supporting a vital infrastructure observability workstream and taking ownership of a new, business-critical internal operations application. This system serves as a zero-buffer, hard go-live dependency for cutting over a massive, multi-year platform to the cloud. If you are a highly autonomous engineer who thrives on complex state management, robust backend integrations, and production-grade cloud deployments, we want to hear from you. Responsibilities: End-to-End Application Ownership: Design, build, and deliver a production-grade operational administration interface, enabling operators to manage complex lifecycle data components. Access Control & Security: Implement frontend Role-Based Access Control (RBAC) with complex user rights management, ensuring tailored role-based rendering and access control per user type (admin, operator, read-only). Backend Integration & Feature Development: Write, modify, and extend clean backend code in Kotlin and Java to build robust data validation pipelines and integrate with core data services. Cloud Infrastructure & Deployment: Provision, deploy, and manage containerized applications within Google Cloud Platform (GCP) utilizing Kubernetes (GKE), Cloud Run, and Terraform. Observability & Scripting: Develop, integrate, and maintain Python monitoring and alerting scripts to create robust dashboards, manage technical metrics, and support test tooling frameworks. Quality Assurance & Testing: Implement rigorous unit and integration testing workflows with exceptionally high code coverage to meet strict, formal quality sign-off standards. Codebase Navigation & Autonomy: Rapidly onboard into a large, complex legacy platform, independently resolving technical blockers and owning your deliverables with minimal supervision. Min requirements: Experience: 3 to 5 years of professional software engineering experience, including a minimum of 2 years building complex frontend applications in production (business tools, internal platforms, or financial applications preferred). Frontend Expertise: Solid Mid-to-Senior level proficiency in React and TypeScript, with a proven track record of handling complex state management (Redux or Context API) and implementing frontend RBAC. JVM Backend Skills: Practical experience (at least 1 year) with Kotlin or another JVM language, alongside the ability to read, debug, and modify existing Java codebases. GCP Production Experience: 1 to 2 years of hands-on experience with Google Cloud Platform, specifically utilizing GKE (Kubernetes), Cloud Run, and infrastructure provisioning via Terraform. Data & Workflow Automation: Strong SQL skills with the ability to query complex data models, coupled with practical experience orchestrating workflows via Apache Airflow. Crucial Non-Technical Skills: Extreme technical autonomy, rapid onboarding skills into unfamiliar codebases, and fluent written English for async communication and peer reviews. Process Alignment: Comfort working within a highly regulated corporate framework where every deliverable undergoes strict pull request workflows and formal peer sign-off. Would be a plus: Domain Knowledge: A strong background in financial services, fintech, investment banking, or handling complex reference data layers. Advanced JVM Ecosystem: Deep understanding of modern Spring or Ktor architectural patterns. Data Storage Frameworks: Understanding of Google Cloud Bigtable architectures and how massive data layers are stored and read. Low-Level Code Awareness: Ability to read and understand existing C++ code within a legacy system context. Advanced Streaming: Familiarity with real-time data streaming architectures using tools like Apache Kafka or distributed risk batches. We offer: Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office About us: Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

🏢 Summary: Senior Full-Stack Engineer role focused on building and maintaining internal applications that connect in-house experts with millions of clients on a large-scale consumer platform. The position involves leading complex projects, shaping features from concept to deployment, and driving technical decisions using modern practices like TDD and continuous delivery. The role combines hands-on development with technical leadership and cross-functional collaboration. 🗂️ Requirements: 5+ years of professional software development experience, Experience as Technical Lead, Extensive hands-on experience with Ruby on Rails, Extensive hands-on experience with TypeScript, Experience with Next.js, Experience with React, Experience with CSS/Sass, Experience with GraphQL, Experience with Apollo, Experience designing and consuming APIs, Ability to lead complex technical projects, Experience with TDD, Experience with continuous delivery, Experience with service-oriented architecture 📃 Skills: Ruby, Rails, TypeScript, Next.js, React, CSS, Sass, GraphQL, Apollo, TDD, CI/CD, SOA, API 🏢 Description: We are looking for a Senior Full-Stack Engineer to join project for a leading US-based tech-driven consumer platform. In this role, you will build and maintain the internal applications that empower thousands of in-house experts to connect with millions of clients. By combining human expertise with best-in-class AI and recommendation algorithms, your work will have a direct, high-visibility impact on client retention and operational efficiency. You will be joining a collaborative, agile-inspired team of bright and kind engineers who value integrity, innovation, and trust, while utilizing modern practices like TDD, continuous delivery, and service-oriented architecture. Responsibilities: Lead the execution of complex projects within your team and across multiple engineering units. Act as an engaged, hands-on team member - lead meetings, create technical design documents, and pair program with other engineers. Collaborate closely with product, design, UX, data science, and mobile partners to shape features from concept to deployment. Provide technical leadership through mentorship, timely feedback, and code reviews, actively investing in the career growth of your teammates (team size: 1 Lead + 3 Senior FTEs). Break down large projects into actionable milestones and deliver sustainable results against measurable goals. Use data to frame business problems and drive technical decisions, guiding other engineers toward solutions that balance quality with pragmatism. Proactively communicate status updates, scope changes, and timeline shifts to teammates, stakeholders, and leadership. Participate in on-call rotations and help improve the on-call experience for others. Min requirements: 5+ years of professional software development experience. Have an experience as a technical lead Extensive, hands-on experience with Ruby on Rails, TypeScript, Next.js, React, and CSS/Sass . Proven experience with GraphQL and Apollo , including both consuming APIs and designing schemas. Exceptional communication skills with a track record of setting clear priorities and sharing them openly. A collaborative mindset - you enjoy mentoring other engineers, creating space for them to grow, and believe strong teams are built on trust and honesty. Would be a plus: Previous experience working in client-side / customer-facing teams. We offer: Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office About us: Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

🏢 Summary: Opportunity for an experienced Big Data Engineer to design and optimize a high-performance data analytics platform processing petabyte-scale datasets. The role focuses on building robust data pipelines, scalable workflows, and real-time reporting systems using modern Big Data technologies. You will work on performance tuning, data quality, and reliable large-scale data processing solutions. 🗂️ Requirements: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, Proven experience as Data Engineer or similar role, Strong proficiency in Spark, HDFS, Airflow, Solid programming skills in Scala, Experience designing and implementing data pipelines, Experience building continuous reporting systems and dashboards, Knowledge of data warehousing concepts, Ability to optimize and tune data processing systems 📃 Skills: Scala, Spark, HDFS, Airflow, Gradle, Kubernetes, BigData, ETL, DataWarehousing, CI/CD 🏢 Description: Our customer is one of the world’s largest technology companies based in Silicon Valley with operations all over the world. In this project, we are working on the bleeding edge of Big Data technology to develop a high-performance data analytics platform, which handles petabytes datasets. We are looking for an experienced Big Data Engineer. Essential functions Design, develop, and maintain robust data pipelines using: Scala, Spark, HDFS, Gradle, Kubernetes and Airflow Implement scalable and efficient data workflows to support data ingestion, processing, and analysis. Develop and maintain continuous reporting systems and dashboards to provide real-time insights. Collaborate with cross-functional teams to understand data requirements and deliver data solutions. Optimize and tune data processing systems for performance and reliability. Ensure data quality and integrity throughout the data lifecycle. Troubleshoot and resolve data processing and pipeline issues. Stay up-to-date with industry trends and emerging technologies to drive innovation in data engineering. Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience as a Data Engineer or in a similar role. Strong proficiency in Spark, HDFS, Airflow Solid programming skills in Scala. Experience with data pipeline architecture and implementation. Expertise in building and maintaining continuous reporting systems and dashboards. Familiarity with data warehousing concepts and technologies. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Would be a plus DevOps/CICD skills We offer Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office About us Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

🏢 Summary: The offer is for an experienced Big Data Engineer to design and maintain a high-performance data analytics platform processing petabyte-scale datasets. The role focuses on building scalable data pipelines, optimizing distributed processing systems, and delivering real-time reporting solutions using modern Big Data technologies. The position involves close collaboration with cross-functional teams to ensure reliable, high-quality data workflows. 🗂️ Requirements: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, Proven experience as a Data Engineer or similar role, Strong proficiency in Spark, HDFS, Airflow, Strong programming skills in Scala, Experience with data pipeline architecture and implementation, Experience building continuous reporting systems and dashboards, Familiarity with data warehousing concepts, Ability to optimize and tune distributed data processing systems 📃 Skills: Scala, Spark, HDFS, Airflow, Gradle, Kubernetes, BigData, DataWarehousing, CI/CD 🏢 Description: Our customer is one of the world’s largest technology companies based in Silicon Valley with operations all over the world. In this project, we are working on the bleeding edge of Big Data technology to develop a high-performance data analytics platform, which handles petabytes datasets. We are looking for an experienced Big Data Engineer. Essential functions Design, develop, and maintain robust data pipelines using: Scala, Spark, HDFS, Gradle, Kubernetes and Airflow Implement scalable and efficient data workflows to support data ingestion, processing, and analysis. Develop and maintain continuous reporting systems and dashboards to provide real-time insights. Collaborate with cross-functional teams to understand data requirements and deliver data solutions. Optimize and tune data processing systems for performance and reliability. Ensure data quality and integrity throughout the data lifecycle. Troubleshoot and resolve data processing and pipeline issues. Stay up-to-date with industry trends and emerging technologies to drive innovation in data engineering. Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience as a Data Engineer or in a similar role. Strong proficiency in Spark, HDFS, Airflow Solid programming skills in Scala. Experience with data pipeline architecture and implementation. Expertise in building and maintaining continuous reporting systems and dashboards. Familiarity with data warehousing concepts and technologies. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Would be a plus DevOps/CICD skills We offer Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office About us Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

🏢 Summary: Senior Full Stack Engineer role focused on building enterprise-grade Java applications with end-to-end ownership across backend, frontend, security, and CI/CD. The position requires daily commercial use of Agentic AI tools to accelerate development, testing, and code quality. You will design secure, scalable systems using modern Java frameworks and DevOps practices. 🗂️ Requirements: 5+ years commercial experience with Java, Proven commercial experience using AI-powered development tools, Strong proficiency in Spring Boot, Strong proficiency in Spring Security, Strong proficiency in Hibernate or JPA, Experience with HTML5, CSS3, and JavaScript frameworks, Hands-on experience with React, Angular, or Vue, Strong experience designing and maintaining Jenkins CI/CD pipelines, Experience with Docker and Kubernetes, Experience designing RESTful APIs, Solid understanding of cryptography and secure key management, Experience with JUnit and Mockito for automated testing 📃 Skills: Java, SpringBoot, SpringSecurity, Hibernate, JPA, SQL, MySQL, PostgreSQL, Oracle, JavaScript, HTML5, CSS3, React, Angular, Vue, Jenkins, Docker, Kubernetes, REST, GitHubCopilot, ChatGPT, Claude, Cline, JUnit, Mockito, Cucumber, Cryptography, CI/CD, Agile, Scrum 🏢 Description: We are seeking a Senior Full Stack Engineer to join our development team, focusing on building robust Java-based enterprise applications while heavily leveraging Agentic AI tools to drive efficiency and innovation. In this role, you will be responsible for the end-to-end software development lifecycle, from backend services and database optimization to user-friendly frontend interfaces and secure CI/CD pipelines. A crucial aspect of this position is the daily, hands-on integration of AI-powered development tools to accelerate coding, code review, and problem-solving. Tech Stack: Java, Spring Boot, Spring Security, Hibernate ORM, SQL (MySQL/PostgreSQL/Oracle), JavaScript (React/Angular/Vue.js), Jenkins, Docker, Kubernetes, RESTful APIs, Agentic AI (GitHub Copilot, ChatGPT, Claude, Cline) Responsibilities: Design, develop, and maintain full-stack applications using Java and modern web technologies. Integrate Agentic AI tools (like GitHub Copilot, ChatGPT, Claude, and Cline) into daily development workflows to accelerate coding, code reviews, testing, and documentation. Design, build, and maintain Jenkins CI/CD pipelines to optimize automated builds, tests, and deployments. Implement robust cryptographic solutions and security protocols to protect sensitive data. Write comprehensive unit and integration tests using JUnit, Mockito, and Cucumber to ensure high reliability. Share best practices for AI tool usage across the team and continuously evaluate emerging Agentic AI technologies. Debug complex technical issues, participate in code reviews, and collaborate closely with product, design, and QA partners within an Agile/Scrum framework. Min requirements: COMMERCIAL EXPERIENCE WITH AI TOOLS IS OBLIGATORY: You must have proven, commercial experience using AI-powered development tools (e.g., GitHub Copilot, ChatGPT, Claude, Cline) to accelerate software delivery. 5+ years of hands-on software development experience with Java . Strong proficiency in Spring Boot , Spring Security , and Hibernate/JPA . Solid experience with frontend technologies (HTML5, CSS3, JavaScript, and frameworks like React, Angular, or Vue.js). Strong, hands-on experience designing and maintaining Jenkins CI/CD pipelines . Solid understanding of cryptography (encryption/decryption, digital signatures, and secure key management). Experience with containerization (Docker, Kubernetes) and designing RESTful web services. Strong background in automated testing (JUnit, Mockito). Would be a plus: 2+ years of experience in payment processing, fintech, or financial services. Knowledge of payment protocols (ISO 8583, EMV), PCI DSS compliance, and financial regulations. Experience with HSMs (Hardware Security Modules) and payment-industry cryptographic standards. Experience with microservices, distributed systems, and cloud platforms (AWS, Azure, or GCP). Knowledge of Android or iOS app development. Contributions to open-source projects or active technical blogging. We offer: Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office About us: Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

🏢 Summary: Senior Java Developer role focused on designing, implementing, and maintaining high-volume, low-latency, mission-critical systems across the full development lifecycle. The position includes architectural decision-making, performance optimization, code quality ownership, and technical mentorship within a hybrid work model in Poland. 🗂️ Requirements: Proven experience as Senior Java Developer in enterprise applications, Deep expertise in Java, Strong experience with Spring Boot and Hibernate, Master-level knowledge of relational databases, Strong knowledge of OOP, design patterns, algorithms, data structures, Experience designing and implementing REST or RPC APIs, Advanced unit testing skills, Experience with TDD, Experience with Git, Experience with CI/CD pipelines 📃 Skills: Java, Spring, SpringBoot, Hibernate, PostgreSQL, MySQL, SQL, OOP, REST, RPC, JUnit, Mockito, TDD, Git, CI/CD, AWS, GCP, Azure, Kafka 🏢 Description: We are looking for an experienced Senior Java Developer to design, implement, and maintain high-volume, low-latency applications for mission-critical systems. In this role, you will take ownership of the full development lifecycle - from writing efficient, testable code to driving architectural decisions. You will also act as a technical guide for the team, mentoring junior developers and fostering a culture of engineering excellence. Work Model: Hybrid in Warsaw / Wroclaw / Krakow / Gdansk Responsibilities: Design, implement, and maintain high-volume, low-latency Java applications for mission-critical systems across the full development lifecycle. Write high-quality, efficient, and testable code for critical components, ensuring strong functionality and performance. Analyze and solve complex technical problems, including system failures, performance bottlenecks, and scalability challenges through root-cause analysis. Provide technical leadership and mentorship to the engineering team, conducting rigorous code reviews and fostering a culture of software excellence. Refactor and continuously improve the existing codebase to enhance maintainability and extensibility while actively addressing technical debt. Ensure the overall quality and reliability of software products by driving a strong testing culture (unit, integration, and end-to-end tests). Create and maintain technical documentation, including architecture diagrams and best-practice guides, to facilitate onboarding and knowledge sharing. Minimum requirements: Experience: Proven track record as a Senior Java Developer building enterprise-grade applications. Core Tech: Deep expertise in Java and its ecosystem, particularly Spring Boot and Hibernate . Database Mastery: Master-level knowledge of relational databases ( PostgreSQL, MySQL , etc.). Architecture & Design: Strong grasp of Object-Oriented Programming (OOP), design patterns, algorithms, data structures, and APIs ( REST, RPC ). Testing: Master-level skills in unit testing ( JUnit, Mockito ) and a strong foundation in Test-Driven Development (TDD). Infrastructure: Solid competence in working with Git and CI/CD pipelines. Would be a plus: Experience with Cloud technologies (AWS, GCP, or Azure). Hands-on experience with Apache Kafka or other event-streaming platforms. We offer: Opportunity to work on bleeding-edge projects. Work with a highly motivated and dedicated team. Competitive salary. Flexible schedule. Benefits package - medical insurance, sports. Corporate social events. Professional development opportunities. Well-equipped office. About us: Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.