Senior Big Data Engineer (Scala + Spark)

🏢 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: 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 systems, and delivering real-time reporting solutions using modern Big Data technologies. You will work on cutting-edge data engineering challenges in a large-scale, global environment. 🗂️ 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, Strong programming skills in Scala, Experience with data pipeline architecture and implementation, Experience building continuous reporting systems and dashboards, Knowledge of data warehousing concepts, Ability to optimize and tune distributed data systems, Experience ensuring data quality and integrity, Ability to troubleshoot complex data pipeline issues 📃 Skills: Scala, Spark, HDFS, Airflow, Gradle, Kubernetes, BigData, ETL, DataWarehousing, Dashboards 🏢 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. Responsibilities: 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. Requirements : 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. Ability to work independently and in a remote team environment. 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: Senior DevOps Engineer role focused on ensuring production stability and driving automation across multi-cloud environments. The position bridges infrastructure and application support, emphasizing CI/CD optimization, incident management, and elimination of manual operational tasks. Responsibilities include managing deployments, patching, and building automation tools to enhance system reliability. 🗂️ Requirements: Commercial experience with AWS, Azure, or GCP, Strong proficiency in Python, Strong proficiency in Java, Hands-on experience designing and maintaining CI/CD pipelines, Experience with Jenkins, GitHub Actions, GitLab CI, or Azure DevOps, Practical knowledge of container ecosystems, Experience in incident management and production monitoring, Experience executing system deployments and infrastructure patching 📃 Skills: AWS, Azure, GCP, Python, Java, Jenkins, GitHubActions, GitLabCI, AzureDevOps, CI/CD, Containers, Monitoring, Automation, DevOps 🏢 Description: We are looking for a highly skilled Senior DevOps Engineer to take ownership of production stability and drive the aggressive automation of support operations. In this role, you will bridge the gap between infrastructure and application support, ensuring the reliability of multi-cloud environments while eliminating manual operational toil. Essential functions Production Operations & Support: Act as the first line of defense for system reliability. Monitor system health, manage incidents, and troubleshoot complex production issues. Support Automation: Write robust code and scripts to automate routine support activities, system patching, and deployment processes. CI/CD Management: Build, maintain, and optimize deployment pipelines across various tools (Jenkins, GitHub Actions, GitLab CI, Azure DevOps). Deployments & Patching: Execute seamless software deployments and infrastructure patching with minimal downtime. Qualifications Cloud Platforms: Commercial experience managing infrastructure in AWS, Azure, or GCP . Programming Skills: Strong proficiency in both Python and Java (essential for building automation tools and supporting the core application stack). CI/CD Mastery: Solid hands-on experience designing and maintaining pipelines (Jenkins, GitHub Actions, GitLab CI, or Azure DevOps). Containerization: Practical working knowledge of container ecosystems. Ops & Reliability: Deep understanding of incident management, production monitoring, and executing system 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: Senior Full Stack Engineer (Python) role focused on building and modernizing a complex B2B SaaS platform for enterprise clients. The position involves end-to-end development, modernization of a Python/Flask codebase, AI-generated code review, backend architecture improvements, and collaboration across AI and frontend engineering teams. The offer includes flexible scheduling, benefits, professional development, and work on advanced enterprise-grade projects. 🗂️ Requirements: Commercial experience as Senior Backend or Full Stack Engineer, Hands-on coding experience, Strong Python proficiency, Experience with Flask, FastAPI, or Django, Knowledge of web application architecture, Experience with PostgreSQL, Strong SQL skills, Database schema design experience, Web security and vulnerability mitigation knowledge, Experience with AI coding tools, Docker experience, Kubernetes experience, Experience with Redis or Celery, Independent problem-solving skills, Ability to work with complex codebases 📃 Skills: Python, Flask, FastAPI, Django, PostgreSQL, SQL, Docker, Kubernetes, Redis, Celery, Copilot, Cursor, Claude, SQLAlchemy, SQLObject, Angular 🏢 Description: We are looking for a highly experienced, strictly hands-on Senior Full Stack Engineer (Python) to join a senior engineering team. You will drive the delivery and modernization of a complex B2B SaaS platform used by global enterprise clients. In this role, you will build new product modules end-to-end, from technical specification through to production deployment, while modernizing a mature codebase. Responsibilities: Build new platform modules end-to-end: translate business requirements into technical specs (use cases, data models, API designs) through to production deployment Execute modernization of the Python/Flask codebase - clean layered architecture, reduced technical debt, improved testability Act as quality gate for all AI-generated code - catching logic errors, security issues, and architectural violations Partner with the Intelligence Systems Engineer on features touching the AI/agent layer Collaborate with the Angular Architect on API contracts and frontend integration Write operational documentation: changelogs for QA, operations guides for DevOps, architecture docs for developers Proactively identify and address security concerns during development Min requirements: Proven commercial experience as a Senior Backend or Full Stack Engineer, actively engaged in hands-on coding (no pure advisory roles). Strong proficiency in modern Python, with a focus on writing clean, type-safe, and well-documented code. Solid experience with Python web frameworks (e.g., Flask, FastAPI, Django) and a good understanding of web application architecture. Expertise in relational databases (preferably PostgreSQL), SQL, and schema design. Strong security mindset with a proven ability to identify, understand, and mitigate real-world web vulnerabilities. Hands-on experience using AI coding tools (Copilot, Cursor, Claude) as part of your daily workflow, paired with a critical eye for reviewing AI-generated code. Experience working with containerization (Docker, Kubernetes) and background processing systems (e.g., Redis, Celery). Excellent independent problem-solving skills and the ability to navigate complex codebases. Would be a plus: Proven experience decomposing monolithic/legacy codebases into a clean, layered architecture. Hands-on modernization experience within mature, production-grade SaaS products. Familiarity with Python ORMs (e.g., SQLObject, SQLAlchemy). 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: The role focuses on building and maintaining large-scale streaming data pipelines to monitor and improve video streaming quality for a global media platform. You will develop real-time and batch processing solutions that power analytics and quality insights. The position involves designing scalable, high-performance systems for processing high-volume streaming data. 🗂️ Requirements: Strong experience in streaming data processing, Hands-on experience with Java, Hands-on experience with Apache Flink, Experience with big data technologies (Spark, HDFS), Understanding of distributed systems, Experience building data pipelines, Experience with real-time and batch data processing 📃 Skills: Java, Flink, Spark, HDFS, Streaming, Batch, DistributedSystems, DataPipelines, Analytics 🏢 Description: You will join a Video Service Quality team within a large-scale media streaming organization. The team focuses on building tools and platforms for monitoring, analyzing, and improving video streaming quality. The project involves processing high-volume streaming data and developing analytics solutions that help ensure seamless video delivery and user experience. You will work on data aggregation pipelines and real-time processing systems that power quality insights for a global video platform. Essential functions Design, develop, and maintain streaming data processing pipelines Work with real-time and batch data using technologies like Java, Flink, and Spark Build scalable solutions for data aggregation and analytics related to video streaming quality Collaborate with cross-functional teams to improve monitoring and quality metrics Participate in system design discussions and contribute to architectural decisions Ensure reliability, performance, and scalability of data processing systems Analyze large datasets to identify patterns and optimize streaming performance Qualifications Strong experience in streaming data processing (must-have) Solid hands-on experience with Java and Apache Flink Experience working with big data technologies (e.g., Spark, HDFS) Good understanding of distributed systems and data pipelines Intermediate+ spoken English (for communication with international teams) Readiness to join evening calls until 8:00 PM CET Would be a plus Solution design Ability to work self-sufficiently with minimal supervision 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 UI/UX Designer role focused on designing scalable, intuitive web-based enterprise applications and improving digital onboarding experiences. The position involves translating business requirements into user-centered design solutions and contributing to enterprise design systems within Agile, cross-functional teams. It emphasizes strategic product thinking combined with strong interaction and visual design expertise. 🗂️ Requirements: 5+ years of UI/UX design experience for web applications, Experience with enterprise or corporate design systems, Advanced proficiency in Figma and FigJam, Strong knowledge of Interaction Design, Strong knowledge of Information Architecture, Experience in User Journey Mapping, Experience in Wireframing and Prototyping, Knowledge of Human-Centered Design principles, Understanding of UX/UI best practices, Experience working in Agile environments, Familiarity with accessibility and inclusive design principles 📃 Skills: Figma, FigJam, InteractionDesign, InformationArchitecture, UserJourneyMapping, Wireframing, Prototyping, HumanCenteredDesign, Accessibility, DesignSystems, WebDesign, Agile 🏢 Description: We are looking for an experienced Senior UI/UX Designer to help shape modern web-based products and improve digital client onboarding experiences within a large-scale enterprise environment. This role is ideal for someone who combines strong visual and interaction design skills with strategic product thinking and experience collaborating across cross-functional teams. Responsibilities Design intuitive and scalable user experiences for web-based applications Collaborate with Product Managers, Engineers, Architects, and business stakeholders to gather and clarify requirements Create user journeys, wireframes, prototypes, mockups, and UI concepts Translate business needs into clear and user-friendly design solutions Contribute to feature definition and support backlog refinement activities Ensure consistency by following and contributing to established design systems Participate in discussions around UX improvements, usability, and accessibility Support testing and validation activities to ensure high-quality user experiences Work closely with cross-functional and global teams throughout the product lifecycle Help identify opportunities to improve workflows and overall product usability Requirements 5+ years of experience in UI/UX design for web applications Strong experience working with enterprise or corporate design systems Advanced proficiency with Figma and FigJam Solid understanding of: Interaction Design Information Architecture User Journey Mapping Wireframing & Prototyping Human-Centered Design UX/UI best practices Strong visual design skills with close attention to detail Ability to simplify complex workflows into intuitive user experiences Experience collaborating with cross-functional teams in Agile environments Strong communication and organisational skills Familiarity with accessibility and inclusive design principles Basic knowledge of HTML/CSS is a plus Previous experience in FinTech, financial services, or enterprise products is a plus Nice to Have Experience working on onboarding platforms or workflow-driven applications Experience supporting large-scale enterprise products Exposure to global or distributed 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: 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: The role involves owning and maintaining critical GPU libraries (cuDNN, NCCL) within large-scale infrastructure, ensuring seamless integration across multiple GPU generations. The engineer will focus on deep debugging, performance regression analysis, build system maintenance, and automation of benchmarking and library rollouts. This position centers on systems-level C++ development at the intersection of hardware and large-scale AI/ML workloads. 🗂️ Requirements: Strong proficiency in C++ and ability to debug large-scale codebases, Deep understanding of Linux systems programming, Experience with compilation, dynamic and static linking, Knowledge of ELF binaries and shared libraries, Proficiency with Linux CLI, Advanced Bash scripting skills, Ability to triage complex technical issues and perform root-cause analysis, Clear written English (B2+) for technical documentation 📃 Skills: C++, Linux, Bash, CUDA, cuDNN, NCCL, Bazel, Blaze, CMake, ELF 🏢 Description: We are looking for a Software Engineer (C++) to join a high-stakes team supporting the GPU infrastructure of a global Tier-1 Tech Giant . If you are a systems-level expert who thrives on the intersection of hardware and software, this is the role for you. You will be the primary guardian of core GPU libraries ( cuDNN, NCCL ) that serve as the bedrock for large-scale Machine Learning and AI workloads. Your mission is to ensure that cutting-edge GPU architectures are seamlessly integrated and maintain extreme stability across massive hardware fleets, from legacy systems to the latest generations. Responsibilities: Library Integration: Own the end-to-end update lifecycle for critical GPU libraries, managing internal versioning, user migration, and alignment with open-source builds. Triage & Deep Debugging: Act as a technical detective to identify, investigate, and debug performance regressions and functional bugs; create minimal reproducers for escalation to hardware vendors or internal core teams. Build & Infrastructure Maintenance: Manage complex build/linking issues using large-scale build tools and maintain custom patches to ensure seamless integration. Validation & Benchmarking: Rigorously verify new library versions against extensive benchmarking suites and coordinate with high-profile internal partners (e.g., Autonomous Driving units) to validate siloed codebases. Automation & Evolution: Proactively improve regression benchmarking suites and develop automation tooling to reduce manual effort in library rollouts. Technical Documentation: Maintain meticulous records of investigations and keep integration playbooks updated to ensure operational excellence. Min requirements: C++ Proficiency: Strong ability to read, navigate, and debug complex, large-scale C++ codebases. Linux Systems Programming: Deep understanding of compilation, dynamic/static linking, ELF binaries, and shared library management. Systems Environments: Proficiency with Linux CLI and advanced Bash scripting for infrastructure automation. Analytical Depth: Proven track record of triaging ambiguous technical issues and conducting root-cause analysis (RCA). Communication: Clear and concise written English (B2+), essential for documenting complex technical bug reports and coordinating with cross-functional global teams. Would be a plus: Build Systems Mastery: Familiarity with large-scale build tools like Bazel, Blaze, or CMake . GPU Ecosystem: Prior exposure to CUDA, cuDNN, or NCCL architectures is highly advantageous. Hardware Awareness: Experience managing software compatibility and performance across multiple hardware generations. Tooling: Experience with internal data monitoring and bug-tracking systems in a distributed engineering environment. 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.