We are hiring a Senior Technical Delivery Manager with expertise in designing and developing innovative digital solutions to address complex business challenges. Join our team in India and bring your background in critical application and product development projects. Your adaptability to a dynamic business environment and proficiency in implementing best practices will play a crucial role in enabling and achieving business requirements.
What you would do
* Coordinate customer proposals and statements of work
* Engage in new business development activities
* Ensure successful delivery of customer projects
* Manage expectations and build strong customer relationships
* Align project deliveries with EPAM processes and methodologies
* Collaborate with the Account Manager to address customer issues during engagements
* Ensure customers fulfill their responsibilities within engagements
* Identify and address engagement risks while flagging major issues promptly
* Oversee overall project management, including time estimation and resource scheduling
* Forecast engagement revenue and resource requirements
* Handle engagement timesheets and billing details
* Generate timely engagement reports at weekly and monthly intervals
* Estimate timelines, resource quality, and quantity to ensure successful project implementation; create comprehensive project plans with all variables accounted for
* Define criteria for deliverability, performance, maintenance, design, and costs
* Support client process analysis by conducting needs assessments and proposing new business models, workflows, or innovative solutions
* Architect and design solutions for legacy modernization efforts aligning with client goals
* Lead architecture discussions and collaborate with business stakeholders and technical teams
* Drive business and cloud transformation initiatives ensuring alignment with technical standards
* Provide guidance and support to junior team members throughout project lifecycles
* Collaborate with clients to assess existing mainframe applications and identify modernization opportunities
* Design modernization strategies including re-platforming, re-factoring, re-architecting, and cloud migration
* Provide technical leadership to development teams ensuring successful project execution
* Utilize reverse engineering tools to analyze legacy codebases and business rules
* Design and oversee integration of modernized systems with existing infrastructure
What they are looking for
* 15 to 18 years of experience in the software industry
* Experience in managing large-scale, complex projects
* Background in Coding with 10-13 years of hands-on experience
* 4+ years of project management experience with full end-to-end delivery
* Understanding of software development processes; Java/.Net expertise is mandatory
* Proficiency in using generative AI to boost productivity and operational efficiency in project delivery
* Strong communication, presentation, and planning competencies
* Exceptional organizational and leadership skills with stakeholder management proficiency
* Experience with executing projects using Agile Methodology
* Competency in creating high-level and low-level designs (HLD & LLD)
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Senior Solution Architect - Java, Spring Boot, Microservices, Cloud
Office in India: Telangana, Hyderabad
Java & 12 others
We are seeking a Senior Solution Architect with a strong background in Java, Spring Boot, microservices, and cloud technologies to lead our legacy modernization program. You will play a key role in designing scalable solutions, driving cloud and business transformation initiatives, and collaborating closely with clients and technical teams. This role requires extensive experience with cloud platforms and a deep understanding of software architecture and modernization strategies. Join us to shape the future of our clients' technology landscapes and contribute to innovative modernization projects.
* Extensive experience in Java development with 13 to 19 years in solution architecture roles
* Proven leadership experience in architecture design and business transformation initiatives
* Demonstrated expertise in cloud transformation and modernization technologies
* Strong knowledge of software architecture, design patterns, and best practices
* Proficiency with cloud computing platforms such as AWS, Microsoft Azure, and Google Cloud Platform
* Experience as a solution architect with Microsoft Azure is required
* Experience working with modernization tools and methodologies
* Implement quality assurance processes to meet performance, security, and compliance standards
* Architect scalable, high-performing solutions leveraging cloud platforms and microservices
* Create comprehensive documentation including architectural designs and development guidelines
* Build strong client relationships and facilitate communication between technical and non-technical stakeholders
* Stay updated on emerging technologies and apply innovative modernization solutions
* Design CI/CD pipelines for data integration and machine learning model deployment
* Deploy and maintain infrastructure for data processing and model training using cloud services
* Automate processes like data validation, transformation, and workflow orchestration
* Coordinate with data scientists, software engineers, and product teams to integrate ML models into production environments
* Enhance performance and reliability by optimizing model serving and monitoring processes
* Ensure data versioning, lineage tracking, and reproducibility across ML experiments
* Identify improvements for deployment processes, scalability, and infrastructure resilience
* Implement security measures to safeguard data integrity and maintain compliance
* Resolve issues in the data and ML pipeline lifecycle
* Serve as a subject matter expert in Java and Azure technologies, providing strategic direction for projects
* Architect and design solutions for legacy modernization programs while ensuring alignment with business goals
* Build scalable cloud solutions leveraging microservices and modern architecture patterns
* Lead technical discussions and collaborate effectively with business stakeholders and cross-functional teams
* Ensure project compliance with technical standards and enforce best practices
* Provide mentorship and guidance to junior team members, fostering growth and collaboration
* Conduct deep assessments of legacy mainframe applications and identify potential areas for improvement
* Develop modernization strategies such as re-platforming, re-factoring, and cloud migrations
* Oversee integration efforts to maintain seamless interaction between modernized systems and legacy systems
* Implement quality assurance measures to meet performance, security, and compliance benchmarks
* Create and maintain detailed documentation outlining architectural designs and development principles
* Cultivate strong relationships with clients and facilitate effective communication between technical and non-technical stakeholders
* Stay informed about emerging technologies and industry trends, applying them to solve complex challenges in modernization initiatives
* Design, architect, and develop scalable Generative AI applications and agentic solutions for real-world business use cases
* Build and orchestrate AI agents using frameworks such as LangChain, LangGraph, Google ADK, CrewAI, AutoGen, Microsoft Copilot Studio, or similar technologies
* Develop and maintain backend services, APIs, microservices, and data pipelines that power AI-driven products
* Implement advanced AI patterns including RAG, Agentic RAG, tool/function calling, planning & reflection loops, and human-in-the-loop workflows
* Engineer and optimize prompts, system instructions, and agent workflows to improve reliability, accuracy, and user experience
* Integrate LLMs with enterprise systems, third-party APIs, vector databases, and knowledge repositories
* Monitor, evaluate, and continuously improve model and agent performance using observability tools, metrics, and user feedback
* Collaborate closely with Product, Engineering, Data, and Design teams to deliver impactful AI solutions
* Stay current with emerging AI technologies, frameworks, and best practices, contributing innovative ideas to the team
* Document architectures, design decisions, and reusable solution patterns while supporting knowledge sharing across teams
* Develop, deploy, and manage Continuous Integration/Continuous Deployment (CI/CD) pipelines for data integration and machine learning model deployment
* Set up and sustain infrastructure for data processing and model training through cloud-based resources and services
* Automate processes for data validation, transformation, and workflow orchestration
* Work closely with data scientists, software engineers, and product teams for a smooth integration of ML models into production
* Enhance model serving and monitoring to boost performance and dependability
* Manage data versioning, lineage tracking, and the reproducibility of ML experiments
* Actively search for enhancements in deployment processes, scalability, and infrastructure resilience
* Implement stringent security protocols to safeguard data integrity and compliance with regulations
* Troubleshoot and solve issues throughout the data and ML pipeline lifecycle
* Anticipated 70% time dedicated to Java backend development + 30% time dedicated to Front-development
* Changes to Java backend to support the migration of Front end and added capabilities
* Assist the migration of user interface components from Java Swing, which includes Java Backend development ensuring consistency, functionality, and performance
* Work closely with cross-functional teams to understand requirements and deliver high-quality solutions
* Engage with our financial services client to gather requirements, provide updates, and incorporate feedback into the development process
* Write clean, maintainable, and well-documented code following best practices and coding standards
* Conduct thorough testing and debugging of the migrated components to ensure they meet functional and performance criteria
* Identify and address performance bottlenecks and optimize the application for speed and responsiven
* Strong communication and leadership skills to effectively engage with diverse stakeholders
* English proficiency at a professional working level
* Experience with Java frameworks including Spring Boot, Spring Data, Spring Batch, Spring REST, and Spring Cloud
* Familiarity with frontend technologies such as ReactJS and Angular
* Skills in microservices architecture and RESTful API design
* Knowledge of API tooling and design best practices
* Experience with databases like PostgreSQL and NoSQL systems
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Senior Systems Engineer - Data DevOps/MLOps
Office in India: Tamil Nadu, Coimbatore & 5 others
Data DevOps & 19 others
We are looking for a detail-oriented and motivated Senior Systems Engineer with a strong focus on Data DevOps/MLOps to join our team. The ideal candidate should possess a deep understanding of data engineering, automation of data pipelines, and integration of machine learning models into operational environments. This role is for a collaborative professional adept at building, deploying, and managing scalable data and ML pipelines aligned with strategic objectives.
* Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field
* 5 or more years of experience in Data DevOps, MLOps, or related professions
* Proficiency in cloud platforms such as Azure, AWS, or GCP
* Background in Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Ansible
* Expertise in containerization and orchestration tools such as Docker and Kubernetes
* Skills in using data processing frameworks like Apache Spark or Databricks
* Proficiency in Python, with familiarity with data manipulation and ML libraries such as Pandas, TensorFlow, or PyTorch
* Familiarity with CI/CD tools like Jenkins, GitLab CI/CD, or GitHub Actions
* Knowledge of version control systems, such as Git, and MLOps platforms like MLflow or Kubeflow
* Understanding of monitoring, logging, and alerting systems like Prometheus or Grafana
* Strong problem-solving abilities with the capability to work both independently and collaboratively
* Effective communication and documentation skills
* Familiarity with DataOps practices and tools like Airflow or dbt
* Understanding of data governance frameworks and tools like Collibra
* Knowledge of Big Data technologies such as Hadoop or Hive
* Credentials in cloud platforms or data engineering activities
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Senior Solution Architect – (Java & Azure)
Office in India: Tamil Nadu, Coimbatore & 4 others
Java & 15 others
We are seeking an experienced Senior Solution Architect with expertise in Java and Azure to lead transformative projects and drive innovation in modernizing legacy systems. This role offers an exciting opportunity to collaborate with diverse teams, ensure technical excellence, and deliver scalable cloud-based solutions that support our clients' business objectives.
* At least 14–19 years of experience in solution architecture and software development
* Expertise in Java and Azure with a strong background in modernization technologies
* Experience in designing scalable architectures using microservices
* Proficiency in reverse engineering legacy systems for modernization purposes
* Familiarity with cloud computing platforms such as AWS, GCP, or Azure (Azure Solution Architect experience is mandatory)
* Skills in software architecture, design patterns, and development best practices
* Understanding of modernization tools, methodologies, and cloud transformation techniques
* Competency in integrating modernized solutions with other systems for seamless performance
* Strong communication and leadership aptitude for conveying technical concepts to both technical and non-technical stakeholders
* Background in business transformation initiatives and IT modernization strategies
* Qualifications in frameworks such as Spring and Hibernate
* Showcase of using databases including PostgreSQL or NoSQL DBs effectively
* Familiarity with frontend technologies like ReactJS, Angular, and Web Services
* Background in JavaScript and API tooling with design best practices
* Capability to manage DevOps architecture and cloud operations, especially with Azure
* Skills in Spring frameworks including Spring Boot, Spring Data, Spring Batch, and Spring REST
* Competency in leveraging microservices and RESTful APIs for architectural design
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Senior Software Engineer - Python with GenAI, LLM
Office in India: Karnataka, Bengaluru & 3 others
Python.AI & 2 others
We are seeking an experienced AI Engineer to design and build production-grade Generative AI solutions with a strong focus on agentic workflows, multi-agent systems, and enterprise AI applications. The ideal candidate combines strong software engineering fundamentals with hands-on expertise in LLMs, RAG architectures, and AI agent frameworks.
* 5-7 years of experience in software engineering
* Hands-on experience building applications using Generative AI and LLM technologies
* Strong proficiency in Python and experience developing production-ready applications
* Hands-on experience with at least two agentic AI frameworks such as LangChain, LangGraph, Google ADK, CrewAI, AutoGen, or Microsoft Copilot extensibility
* Experience with cloud AI platforms including Azure OpenAI, AWS Bedrock, or Google Vertex AI/ADK
* Strong backend development skills, including REST/gRPC APIs, asynchronous programming, Docker, and frameworks such as FastAPI or Flask
* Solid understanding of leading LLMs including OpenAI GPT models, Anthropic Claude, Google Gemini, and open-source alternatives
* Practical experience building RAG solutions using vector databases such as Pinecone, Weaviate, ChromaDB, or Qdrant
* Expertise in prompt engineering, LLM orchestration, structured out