Team owns a number of micro-services that already serve website and mobile apps critical functionalities in production like: items availability (aka "inventory-cache"), stores geo-search, items details. Some services are getting ready to handle up to 200k RPM during the peak period. The services are written using Java 21 with Spring Boot 2.0 and hosted in GKE using different GCP services like: CloudSQL, Firestore, PubSub. Responsibilities New features implementation Unit, integration and system tests support Pipelines building & tuning (we have a number of examples already) Technologies research Once adopted: participation in new services design Requirements 4 - 8 years of experience as Java back end developer Strong Java 21 and Spring Framework Hibernate Kubernetes/Openshift experience GCP or Any cloud expereince Nice to have SQL 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.

Roles And Responsibilities Translate business requirements into technical solutions, incorporating AI-driven approaches for predictive and prescriptive analytics. Simplify complex processes using AI-assisted automation and natural language interfaces for non-technical stakeholders. Curate reports and design data models, integrating Gen AI for dynamic insights and automated narrative generation. Create technical documentation, including guidelines for AI-enabled BI workflows and governance. Formulate business requirements for BI tools, ensuring compatibility with AI-driven features like conversational analytics and automated report generation. Determine data warehouse design, optimizing for AI-based data enrichment and semantic modeling. Develop AI-powered dashboards and reports, enabling features such as: Natural language query interpretation. Automated insights and anomaly detection. Predictive modeling and scenario simulation. Collaborate with data science teams to integrate machine learning and Gen AI models into BI solutions. Ensure compliance and ethical use of AI, following organizational and industry standards. Preferred Skills Strong proficiency in Power BI, DAX, and SQL. Experience with Gen AI tools and frameworks (e.g., Azure OpenAI, Copilot, or similar). Knowledge of AI-driven analytics, predictive modeling, and data storytelling. Familiarity with cloud platforms (Azure preferred) and data integration pipelines. Ability to design conversational BI experiences using natural language processing. Qualifications Essential functions Strong proficiency in Power BI, DAX, and SQL. 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.

Greetings from Grid Dynamics . We are currently looking to engage with senior leadership professionals for the role of Delivery Leader (Chennai) . Please find below a brief overview of the role for your review, along with the Grid Dynamics company profile attached. Role: Delivery Director | Location: Chennai Key Expectations: Progressive growth from a strong software development background with 78+ years of enterprise-level development experience Master's degree preferred with a strong academic foundation Prior experience as Tech Lead / Architect , with exposure to pre-sales activities 5+ years in leadership roles within IT services organizations Experience working with or delivering for Global Capability Centers (GCCs) in India is highly desirable Excellent communication, stakeholder management skills, and executive presence Strong expertise in application development, system design, solution & technical architecture Hands-on or certified experience across Cloud, Data, and Full-Stack Engineering Proven experience in delivering digital platforms with AI / GenAI components Strong understanding of GenAI concepts and their business applications Experience managing large delivery teams (300+ members) Overall experience not exceeding 18 years Domain exposure in CPG, Retail, BFSI, Automotive, or Manufacturing preferred Certifications in Agile, Cloud, or AI are strongly preferred If this opportunity aligns with your career aspirations, I would be happy to connect and discuss further. Looking forward to hearing from you.

Key Responsibilities: Primary DevOps Responsibilities Design, implement, and maintain CI/CD pipelines for applications and Big Data workloads. Automate infrastructure provisioning using Infrastructure as Code (Terraform/CloudFormation/ARM). Manage containerized environments using Docker and Kubernetes. Deploy and manage cloud-based Big Data platforms (AWS/Azure/GCP). Implement monitoring, logging, and alerting solutions. Ensure system reliability, scalability, and security compliance. Manage version control and release management processes. Secondary – Big Data Platform Support Deploy and support Hadoop ecosystem components (HDFS, Hive, Spark, etc.). Support Big Data clusters (on-prem or cloud-based like EMR/Dataproc/HDInsight). Assist in managing data pipelines and workflow orchestration (Airflow/Oozie). Monitor performance of Big Data environments and optimize cluster configurations. Support Data Marts and Data Warehouse environments. Required Skills (Must Have – DevOps Focus) Strong hands-on experience in: CI/CD tools (Jenkins/GitLab CI/Azure DevOps) Docker & Kubernetes Terraform / Infrastructure as Code Cloud platforms (AWS/Azure/GCP) Linux administration and shell scripting Monitoring tools (Prometheus, Grafana, ELK, Cloud monitoring tools) Good to Have (Big Data Exposure) Hadoop ecosystem experience Spark cluster management Experience with EMR / Dataproc / HDInsight Knowledge of Data pipelines & orchestration tools (Airflow) Understanding of Data Marts / Data Warehousing concepts Kafka exposure is a plus Preferred Profile: Experience supporting production Big Data platforms Strong troubleshooting and performance tuning skills Ability to work with Data Engineering and Architecture teams If you'd like, I can also provide: A shorter 8–10 line JD (for quick sharing) A Visa-style structured JD format Screening checklist for recruiter shortlisting Interview questions for L1 technical screening

As a key member of a dedicated engineering team, you will contribute to the development of a cutting-edge AI Agentic Framework for a major multinational automotive manufacturer. The project focuses on modernizing a vehicle eCommerce platform, transitioning from a legacy monolithic system to a cloud-native, MACH-architected (Microservices, API-first, Cloud-native, Headless) solution within Google Cloud Platform. The primary goal is to establish a foundational AI platform that supports the deployment of autonomous AI agents across the enterprise, enhancing innovation, scalability, and operational efficiency in a direct-to-consumer digital sales environment. Responsibilities Search Architecture: Design and implement high-performance indices with optimal structuring and mapping for diverse data types. System Optimization: Perform full-text search tuning using BM25 and other ranking algorithms to ensure precision and relevance. Hybrid Search Development: Build and maintain hybrid search systems that combine vector (semantic) and lexical search capabilities. Infrastructure Management: Scale distributed search systems to ensure high availability and robust performance. Security & Compliance: Implement search security protocols, including RBAC, TLS, and access control, while adhering to cloud-native privacy principles. Development & Integration: Write efficient code for data preparation, indexing, and API interaction, utilizing Docker and Kubernetes for automated deployment. Collaboration: Work closely with cross-functional teams to integrate AI agents into the broader eCommerce ecosystem and ML pipelines. Requirements Total Professional Experience: 8+ years Technical Skills Search Engines: Deep expertise in Elasticsearch, OpenSearch, or Vertex AI Search, including architecture, core principles, and DSL queries (aggregations and filters). Vector Search: Proven experience creating and optimizing vector embeddings and implementing hybrid search models. Cloud & DevOps: Strong hands-on experience with Google Cloud Platform (GCP), Docker, and Kubernetes. Programming: Ability to write clean, efficient code for data processing and API integration. CI/CD: Solid understanding of CI/CD principles specifically tailored to ML pipelines and search services. Experience & Soft Skills AI Frameworks: Familiarity with AI agentic frameworks, LLM Observability, prompt engineering, and AgentOps. Architecture: Experience designing scalable, fault-tolerant AI architectures. Communication: Excellent interpersonal skills with the ability to collaborate effectively in a fast-paced, evolving environment. Tools: Knowledge of AI development environments, including visual IDEs, debugging tools, and testing frameworks. Nice to have Strong understanding of AI agentic frameworks, including concepts like LLM Observability, LLM models management, prompt engineering, AgentOps, and various agent frameworks. Expertise in designing scalable and fault-tolerant AI architectures. Experience with cloud-native security, privacy, and compliance principles. Familiarity with various AI agent complexity categories and their associated development efforts. Knowledge of tools and technologies used in AI development environments, including visual IDEs, debugging tools, and testing frameworks. Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams and stakeholders. Ability to work in a fast-paced and evolving 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.

About the job: TE- 2-7 Years NP- Immediate-15 days Location- Banaglore Experience Requirements: Hands-on experience designing and supporting distributed data platforms using Hadoop and Apache Spark , processing large-scale datasets for analytics and reporting Delivered batch and near real-time data pipelines using Spark (Scala & Python) to support business intelligence and operational insights Strong expertise in SQL performance tuning , including indexing strategies, query optimization, and execution plan analysis across large datasets Worked with both relational (RDBMS) and NoSQL data stores to support diverse workload and access patterns Proficient in Presto, Impala, SparkSQL, and Hive for interactive querying, adhoc analysis, and data validation at scale Comfortable joining existing teams and quickly ramping up in complex data environments to deliver production-ready solutions Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization. Grid Dynamics achieves high speed-to-market, quality, and efficiency by using technology accelerators, an agile delivery culture, and its pool of global engineering talent. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the US, UK, Netherlands, Mexico, India, Central, and Eastern Europe. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the US, UK, Netherlands, Mexico, India, Central and Eastern Europe. To learn more about Grid Dynamics, please visit www.griddynamics.com . Follow us on Facebook , Twitter , and LinkedIn . -- Who can apply: Only those candidates can apply who: have minimum 2 years of experience Salary: Competitive salary Experience: 2 year(s) Deadline: 2035-01-01 00:00:00