Senior Big Data Engineer (Python + AWS)

🏢 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: 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 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 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 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 QA Automation Engineer focused exclusively on backend and REST API testing for high-scale, high-availability systems hosted on AWS. The role involves building and scaling automated test frameworks, defining advanced test strategies (E2E, contract, load, chaos), and integrating tests into CI/CD pipelines. There is no UI testing involved, with full ownership of backend quality processes and tools. 🗂️ Requirements: 5+ years QA Automation experience focused on backend/API testing, Strong programming skills in JavaScript, Python, or Golang, Hands-on experience testing REST APIs, Experience with E2E, contract, load, and chaos testing, Experience building and maintaining backend test automation frameworks, Experience integrating automated tests into CI/CD pipelines, Proficiency with Git and version control workflows, Experience working with high-scale, high-availability systems, Willingness to work exclusively on backend testing (no UI testing) 📃 Skills: JavaScript, Python, Golang, Playwright, Cypress, K6, Gremlin, PACT, REST, Git, CI/CD, AWS, SQS, SNS, DynamoDB, S3 🏢 Description: We are looking for a Senior QA Automation Engineer who breathes backend testing. If you are tired of UI testing and want to focus 100% on complex backend APIs , this is the role for you. There is absolutely zero UI testing involved here. You will be responsible for testing high-scale, high-availability backend systems hosted exclusively on AWS. While our team currently leans towards JavaScript and tools like Playwright or Cypress, we are highly flexible - if you are a backend testing expert who prefers Python or Golang and uses different frameworks, we want to talk to you! Essential functions Own Backend Quality: Develop, maintain, and scale QA tools and frameworks specifically designed for complex REST API and backend automated testing. Define Test Strategy: Design and execute complex end-to-end, contract, load, and chaos tests integrated seamlessly into CI/CD pipelines. Collaborate & Optimize: Work closely with Engineering and Product teams to identify application faults, improve QA processes, and optimize test metrics across the organization. Document & Report: Create comprehensive test plans, maintain automation scripts, report bugs, and communicate quality metrics effectively. Promote Best Practices: Act as a QA advocate, defining design principles for automated test procedures and elevating the overall testing culture within the team. Hands-on Exploration: Execute exploratory and manual API tests when necessary to uncover edge cases in high-availability environments. Qualifications 5+ years of experience in QA Automation with a strict focus on Backend/API testing (this role does not involve any front-end/UI testing). Programming Proficiency: Strong coding skills in JavaScript (preferred), Python , or Golang (Please note: standard Java is not a fit for this stack) . Testing Frameworks: Familiarity with modern automation tools. We prefer Playwright or Cypress, but we are highly flexible if you use other robust backend testing tools (e.g., K6, Gremlin, PACT). Deep API Knowledge: Extensive hands-on experience testing REST APIs and implementing various test types (E2E, contract, load, chaos). Engineering Practices: Proficiency with Git, version control workflows, and integrating tests into CI/CD pipelines. Communication: Fluency in English (B2 level or above) with the ability to clearly explain test progress and quality issues. Would be a plus Hands-on experience with AWS services (specifically SQS, SNS, DynamoDB, and S3). Background in testing financial systems or working in high-scale, distributed environments. Solid understanding of observability practices (monitoring, tracing, alerting). A proven track record of proactively improving QA processes and establishing quality metrics within a team. 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: Senior Backend Developer (remote, 12-month contract) focused on building scalable data processing systems and robust data pipelines. The role involves designing system architecture, coding for scale, and collaborating across teams while experimenting with new technologies and MVPs. 🗂️ Requirements: BSc in Software Engineering, Computer Science or related field, 5+ years of experience with Python, Hands-on experience with data pipelines, Experience designing scalable system architectures, Experience in backend software development 📃 Skills: Python, AWS, CI/CD, DevOps, SQL, ElasticSearch, OpenSearch, Neptune, Neo4j 🏢 Description: Start: ASAP Work model: Remote Length of contract: 12 months + extensions We’re looking for a Senior Backend Developer with a data pipeline emphasis with a strong understanding of and hands-on experience with broad software development, i.e., system architecture, coding for scale, and communicating possibilities for what can be built and maintained, as well as a love for experimenting and building MVPs. Core Responsibilities: Design and implement software architectures for scalable data processing systems. Develop and maintain data pipelines for efficient data ingestion and processing. Collaborate with cross-functional teams to define and streamline software development processes. Participate in code reviews and maintain high software quality standards. Experiment with new technologies and frameworks to enhance system performance. Key Requirements: BSc in Software Engineering, Computer Science, or other relevant field 5+ years of experience with Python Experience with data pipelines Nice to Have: Experience with one or more AWS services AWS DevOps CI/CD Pipelines Relational databases ElasticSearch/OpenSearch Graph databases (e.g., Neptune or Neo4j)

🏢 Summary: Senior Python Engineer role focused on building scalable, secure backend systems and infrastructure for a machine learning platform in a global fintech environment. The position centers on developing production-grade services, real-time data pipelines, and cloud-native platform capabilities that enable ML model deployment and monitoring. The role supports low-latency, high-availability systems such as fraud detection. 🗂️ Requirements: Strong commercial experience building production-grade backend systems in Python, Experience designing and operating distributed systems, Practical experience with AWS services (EKS, S3, Lambda), Experience with Docker and Kubernetes, Experience with databases, data pipelines, or streaming platforms, Knowledge of testing methodologies and CI/CD practices, Ability to work in high-availability, regulated environments 📃 Skills: Python, FastAPI, Microservices, DistributedSystems, AWS, EKS, S3, Lambda, Docker, Kubernetes, Kafka, Flink, Databases, Streaming, CICD, GitOps, GitHub, ArgoCD, Datadog, Observability 🏢 Description: We are looking for a Senior Python Engineer to join our ML Platform team. You will be responsible for building the backend systems and infrastructure that power machine learning across a global fintech project. This is a platform engineering role focused on building scalable, reliable, and secure systems that enable ML engineers and data scientists to develop, deploy, and operate models in production. Your work will directly support low-latency, real-time environments, such as fraud detection. Please note: Prior Machine Learning experience is NOT required! If you are a strong backend engineer with an interest in data-driven platforms and ML systems, this is the perfect role for you. Responsibilities: Backend Development: Design and build production-grade Python services (FastAPI / microservices) that support the ML lifecycle, including feature computation, model inference, and monitoring. Real-Time Data Pipelines: Develop and operate data pipelines to support low-latency, high-availability use cases (like fraud detection) using event-driven architectures (Kafka, Flink). Platform Engineering: Build capabilities to enable online and offline feature stores, working closely with Data Engineering to ensure reliable data flows. Developer Experience (DevEx): Improve the daily lives of ML engineers and data scientists through better tooling, automation, and self-service APIs. Cloud & DevOps: Build and maintain CI/CD pipelines (GitOps, GitHub Actions, ArgoCD) and ensure the observability (Datadog), resilience, and scalability of platform services. Security & Compliance: Collaborate with Infrastructure and Security teams to ensure all systems meet strict financial and regulatory standards. Min requirements: Python Mastery: Strong commercial experience in building production-grade backend systems and microservices in Python (this is not a scripting role). Distributed Systems: Proven experience designing, building, and operating backend services or distributed systems. Cloud & Containerization: Solid practical experience with AWS (EKS, S3, Lambda) and container orchestration ( Docker, Kubernetes ). Data Systems: Experience working with databases, data pipelines, or streaming platforms. Engineering Best Practices: Solid understanding of testing methodologies, CI/CD, and code quality standards. High-Availability Focus: Ability to work in highly regulated, high-availability environments where system resilience is critical. Would be a plus: Experience with real-time streaming technologies (Kafka, Flink) and low-latency systems. Background in fintech, payments, risk systems, or fraud detection. Experience with ML platforms/tools (e.g., SageMaker, Ray, Tecton) or exposure to feature stores (online/offline architectures). A general understanding of the machine learning lifecycle (training, inference, feature 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 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.