ResponsibilitiesDevelop and maintain backend services using Java Work with Spring Boot to build microservices Design and consume REST APIs Assist in debugging, testing, and performance tuning Participate in code reviews and documentation Collaborate with cross-functional teams Qualification & Experience   Strong fundamentals in Java Understanding of OOP and core Java concepts Knowledge of data structures & algorithms Basic understanding of REST APIs Familiarity with Git/version control

Responsibilities  Design, develop pipelines using .YAML , Helm Charts?  Proficient in scripting language like Python , PowerShell or Linux BASH scripts  Demonstrate proficient knowledge on Ansible , Kubernetes and other Devops tools  Proficient in CI/CD, build, release, and deployment automation as an SME, driving efficient and high-quality delivery.  Provide technical governance, architectural oversight, and ensure alignment with enterprise standards and best practices.  Sound knowledge on design, development, and troubleshooting activities.  Contribute to deployment planning, production releases, and continuous improvement initiatives.  Good to have knowledge on Application like .NET ,JAVA ? or Opensource Tech Stack for basic troubleshooting  Experienced in build & release, automations . Develop to execute automated builds & releases, benchmark the industry standards & processes to ensure efficient and quality delivery and deployments.  Working knowledge on version control tools like Git.  Experienced in MS Windows and Linux OS.  Excellent troubleshooting skills and ability to learn new technologies and adapt to it .  Excellent communication & collaboration skills.  Aligns IT security and IT operations teams to ensure that all processes, including DevOps processes, can operate safely and securely.? Qualification & Experience Design, develop pipelines using .YAML , Helm Charts?  Proficient in scripting language like Python , PowerShell or Linux BASH scripts  Demonstrate proficient knowledge on Ansible , Kubernetes and other Devops tools  Proficient in CI/CD, build, release, and deployment automation as an SME, driving efficient and high-quality delivery.  Good to have knowledge on Application like .NET ,JAVA ? or Opensource Tech Stack for basic troubleshooting  Experienced in build & release, automations .

 Responsibilities  Own end-to-end delivery and execution of the product road map.  Lead, mentor, and grow a team of engineers across multiple technology stacks (.NET, Java, reporting platforms).  Partner with Product, Architecture, and other stakeholders to define scalable, high-quality solutions aligned to business goals.  Establish and drive engineering best practices, including code quality, CI/CD, testing strategies, and operational excellence.  Provide technical leadership and guidance across teams, ensuring sound architectural decisions and alignment with enterprise standards.  Maintain hands-on technical engagement with the codebase, contributing to design and development of production systems as needed to guide teams and ensure high-quality outcomes (while not operating as a full-time individual contributor).  Drive continuous improvement in development processes, team productivity, and delivery predictability.  Build a high-performing engineering culture focused on accountability, collaboration, and innovation.  Manage team performance, career development, hiring, and capacity planning.  Ensure delivery of highly available , scalable, and performant applications and reporting solutions.  Act as a key contributor within the broader engineering leadership team. Qualification & Experience Bachelor’s or Master’s degree in Computer Science or related field.  12+ years of software engineering experience, with a strong background in .NET and/or Java ecosystems.  3+ years of experience in an engineering management role leading teams of 8+ engineers.  Experience leading teams across multiple technology domains, including backend services and reporting platforms (Cognos, Power BI, SSRS, etc.).  Strong understanding of modern software development practices, including Agile ( SAFe ), CI/CD, and DevOps toolchains. 

Responsibilities Develop and integrate RESTful APIs and backend services. Work extensively with SQL Server for database design, development, and optimization. Apply strong knowledge of Object-Oriented Programming (OOP), algorithms, and software design patterns to create efficient and maintainable code. Develop and implement solutions leveraging Large Language Models (LLMs), including effective prompting techniques and Retrieval Augmented Generation (RAG) with vector databases. Design and build agentic AI systems, potentially involving multi-agent workflows and agent tools (experience with MCP is a plus). Contribute to and improve CI/CD pipelines for automated testing and release processes. Implement and manage system observation and telemetry to ensure performance and reliability. Develop components and scripts using Python and TypeScript as needed. Ensure application security by implementing security fundamentals, including OAuth2.x and other best practices. Collaborate effectively within an Agile development environment, participating in sprint planning, stand-ups, and retrospectives. Optionally, contribute to cloud-based development initiatives. Qualification & ExpeirenceBachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. 6+ years of professional software development experience. Experience in C# and the .NET framework. Expertise in TypeScript and JavaScript. Solid experience with SQL Server, including database design and query optimization.

ResponsibilitiesDesign, develop, and deploy AI solutions. Implement Retrieval-Augmented Generation (RAG) and fine-tuning techniques. Utilize and integrate AI frameworks like LangChain. Use advanced prompt engineering techniques to solve complex problems with LLMs. Build and manage agentic frameworks such as CrewAI and Google ADK. Apply MLOps best practices to streamline AI development workflows. Monitor and trace AI applications performance. Collaborate across teams to ensure alignment with traditional ML and AI methodologies. Work on end-to-end software engineering for scalable solutions. Qualification & Expeirence4+ years of experience in designing, developing, and deploying AI/ML solutions Strong hands-on experience with Azure AI & ML services, including: Azure Machine Learning Azure OpenAI Service Azure AI Search / Cognitive Search Azure Data & Compute services

ResponsibilitiesDesign and implement cloud infrastructure and deployment patterns for the solution in collaboration with client platform teams. Build and maintain CI/CD pipelines to support repeatable, controlled releases across Development, Test, and Production environments. Implement infrastructure-as-code for cloud resources, services, permissions, and environment configuration. Support deployment of backend services, orchestration components, data services, and front-end applications. Enable monitoring, logging, alerting, and telemetry for both platform health and end-user usage feedback loops. Define and implement operational controls for reliability, performance, scalability, and incident response. Support secure access patterns, secrets management, environment separation, and role-based controls. Collaborate with engineering and AI teams to operationalise LLM-enabled workloads in a governed enterprise environment. Ensure the solution aligns with architecture, security, and service transition requirements. Qualification & Expeirence4+ years of experience in Cloud Engineering, DevOps, or Platform Engineering roles. Strong hands-on experience with CI/CD tooling and release automation. Experience with infrastructure-as-code using Terraform or similar tools. Experience deploying and operating cloud-native workloads in GCP. Strong understanding of containerisation, serverless and managed compute services, and environment promotion strategies. 

ResponsibilitiesDesign, build, and maintain scalable data pipelines to prepare complex business data for conversational analytics use cases. Develop and maintain semantic layers, business logic mappings, and data structures that improve AI understanding of client taxonomies, KPIs, hierarchies, and business concepts. Model and transform complex business data into structures optimised for query generation, interpretation, and insight production. Partner with AI and software engineering teams to support LLM workflows, agent orchestration, and governed access patterns. Implement robust ingestion, transformation, and data quality processes for structured analytical datasets. Support live-query and cached data access patterns depending on agreed architecture and performance needs. Ensure data is accessible, explainable, and aligned to business definitions used in evaluation and user acceptance testing. Collaborate with Data Scientists to support ground-truth evaluation, validation datasets, and regression testing.Qualification & Expeirence4+ years of experience in Data Engineering, ideally in cloud-based analytical environments. Strong hands-on experience with SQL and Python for data processing and transformation. Experience building scalable data pipelines and transformation workflows for large, complex datasets. Strong understanding of data modelling, semantic layer design, and analytical data structures. 

ResponsibilitiesDesign and build platform primitives—Python SDKs, platform APIs, and templates—that enable reproducible experiments, configuration-as-code workflows, model lineage, and artifact tracking, which enable seamless promotion from research to production. Create developer tools to elevate development experience—CLIs, UI, dashboards, visualization layers—that simplify platform operation and multi-stage workflows. Implement and scale distributed training systems (multi-node GPU workloads) on top of Kubernetes and cloud-based orchestration foundation. Build large-scale evaluation frameworks for offline tests, shadow deployments, and A/B experimentation. Implement model/dataset versioning, approvals, lineage tracking, retention, and compliance hooks. Partner with AI/ML research, platform engineering/MLOps and infrastructure, and data engineering teams to generalize workflows into reusable frameworks.Qualification & ExperienceBS in Computer Science, Mathematics, Engineering, or equivalent technical field. Master’s preferred. Proven track record building large-scale distributed systems and integrated data and AI/ML platforms (e.g., training, serving, workflow orchestration, data pipelines). Expert-level proficiency in Python and one of Go/Java/C++ and building production-grade services/APIs/SDKs

ResponsibilitiesDesign, develop, and maintain AI powered? solutions using Microsoft 365 Copilot and Copilot Studio Build and operate custom AI agents and copilots integrated into Microsoft 365 workloads Develop AI driven? automations and integrations across Microsoft 365, Teams, SharePoint, Power Platform, and enterprise systems Partner with IT and business stakeholders to identify use cases and deliver production ready? AI solutions Ensure AI solutions comply with security, privacy, compliance, and governance requirements within the Microsoft environment Contribute to defining enterprise AI standards, reusable patterns, and best practices Support ongoing improvement, monitoring, and scaling of AI solutions in production environments Qualification & ExperienceProven experience in an AI Engineer, AI Developer, or similar role within a Microsoft based? environment Hands?on experience with: Microsoft 365 Copilot and Copilot Studio Power Platform (Power Automate, Power Apps, connectors) Experience integrating AI solutions with enterprise platforms and data sources Strong understanding of cloud security, identity, and governance concepts in Microsoft environments

ResponsibilitiesSupervise and coordinate software development and cloud solutions, ensuring alignment with Siemens Energy technologies and process guidelines. Develop concepts and architecture, as well as review existing solutions and define modernization proposals. Responsible for the quality and timely delivery Provide technical guidance for the agile development team. Create technical specifications and drive the refinement of new features and user stories. Support effort and budget estimations and guide different developer teams. Conduct risk assessments based on considerations for information security, data protection, and related regulations. Perform code reviews and work in a flexible, multi-functional, team-based development environment.Qualification & Experience A master’s or bachelor’s degree in computer science or a related field. 6+ years of proven experience in software development and software architecture. At least 4+ years of experience as a Full Stack Developer. Strong analytical skills, with a test-driven approach and proficiency in programming languages such as Python, JavaScript/TypeScript and SQL Hands on experience on React or Flutter. A curious and passionate approach to problem-solving, building, and self-improvement. Accountability for outcomes, commitment to delivering high-quality results in a reliable manner. Deep knowledge of AWS and other cloud platforms, with experience in designing solutions; experience in the energy sector is an advantage. You are familiar with container technologies such as Docker, Podman, K8s Proven ability to work with multi-functional product teams and engage directly with clients. A customer-centric, open-minded attitude with a commitment to continuous skill development. Exceptional communication skills, with fluency in English and the ability to operate effectively in a global, multicultural environment. Knowledge of application/solution architecture principles and reference architecture. Familiar with REST, GraphQL, gRPC, SOAP, microservices, multithreading, multiprocessing. Experience with at least one public cloud provider: AWS, Azure, Google. Skilled in containers, orchestration, Domain Driven Design (DDD), Backend for Frontend (BFF) pattern. Experienced with API gateways, load balancers, cross-cutting concerns, service registry, and service discovery. Proficient in independent deployment, common software design principles, and patterns. Experienced in both static and dynamic languages (Python, C#). Skilled in relational and NoSQL DBMS, data pipelines, and identifying bottlenecks between data storage and front end. Proficient in DevOps CI/CD practices, e.g., Azure DevOps, Terraform, etc.