Top Software Engineer Jobs in Chennai

Develop Python-based automation solutions for application, infrastructure, and SRE operations. Build provisioning and configuration automations, integrate monitoring and observability workflows, troubleshoot automation issues, and collaborate with cross-functional teams. The role involves cloud and on-premises environments, APIs, Git, Linux, monitoring tools, and foundational generative and agentic AI concepts.

Develop scalable custom software and advanced automation frameworks using Python, modern frameworks, infrastructure as code, CI/CD, and observability tools. Automate infrastructure and monitoring environments while ensuring reliability, security, and efficiency. Partner with teams to deliver measurable outcomes across multi-cloud and hybrid platforms. The role also involves GenAI and agentic AI applications, reusable components, and large-scale automation implementations.

Develop Python-based automation solutions for applications, infrastructure, and SRE operations. Build provisioning, configuration, and operational automations; integrate monitoring and observability workflows; troubleshoot issues; and collaborate with cross-functional teams. The role involves APIs, Git, Linux, cloud and on-premises environments, monitoring tools, and foundational Generative AI and Agentic AI concepts. The position is based in the Chennai office and requires 15 years of full-time education.

Develop Python-based automation solutions for applications, infrastructure, and SRE operations. Build provisioning, configuration, and operational automations; integrate monitoring and observability workflows; troubleshoot automation issues; and collaborate with cross-functional teams. The role requires exposure to APIs, Git, Linux, cloud and on-premises environments, monitoring tools, and generative or agentic AI concepts.

Design and implement scalable automation solutions using Python, cloud platforms, IaC, CI/CD, GitOps, GenAI frameworks, and observability tools. Establish automation standards, best practices, and roadmaps while driving value realization and continuous improvement. The role also requires SRE practices, mentoring, stakeholder leadership, and delivery of high-performing software solutions across diverse platforms.

Develop custom software and advanced automation frameworks using Python, modern frameworks, infrastructure as code, CI/CD, and observability technologies. Build reusable components across infrastructure and applications, automate hybrid and multi-cloud environments, and ensure reliability, security, and efficiency. Collaborate with teams to deliver measurable business outcomes through scalable automation and GenAI or agentic AI solutions.

Develops Python-based automation solutions for application, infrastructure, and SRE operations. Builds provisioning and configuration automations, integrates monitoring and observability workflows, troubleshoots automation issues, and collaborates with cross-functional teams. The role involves cloud and on-premises environments, APIs, Git, Linux, monitoring tools, and foundational generative and agentic AI technologies.

Develops Python-based automation solutions for applications, infrastructure, and SRE operations. Responsibilities include provisioning and configuration automation, monitoring and observability integration, troubleshooting, and collaboration with cross-functional teams. The role uses APIs, Git, Linux, cloud and on-premises environments, and monitoring tools, with exposure to Generative AI and Agentic AI.

Develop custom software and advanced automation frameworks using Python. Build reusable components across infrastructure and observability platforms, automate complex environments, and improve reliability, security, and efficiency. Partner with teams on large-scale implementations and measurable business outcomes. The role involves Infrastructure as Code, CI/CD, Git, REST APIs, Linux, networking, GenAI or agentic AI applications, monitoring tools, and multi-cloud or hybrid environments.

Develop Python-based automation solutions for application, infrastructure, and SRE operations. Build provisioning, configuration, and operational automations; integrate monitoring and observability workflows; troubleshoot automation issues; and collaborate with cross-functional teams. The role involves cloud and on-premises environments, APIs, Git, Linux, monitoring tools, and foundational generative or agentic AI concepts.

Develop Python-based automation solutions for application, infrastructure, and SRE operations. Build provisioning and configuration automations, integrate monitoring and observability workflows, troubleshoot automation issues, and collaborate with cross-functional teams. The role involves working across cloud and on-premises environments, using APIs, Git, Linux, monitoring tools, and emerging generative or agentic AI technologies.

Develop and implement Python-based automation for applications, infrastructure, and SRE operations. Build provisioning and configuration workflows, integrate monitoring and observability, troubleshoot automation issues, and collaborate with cross-functional teams. The role requires exposure to APIs, Git, Linux, cloud and on-premises environments, monitoring tools, and foundational generative or agentic AI concepts.

Develop and implement Python-based automation solutions for applications, infrastructure, and SRE operations. Build provisioning, configuration, and operational automations; integrate monitoring and observability workflows; troubleshoot automation issues; and collaborate with cross-functional teams. The role requires exposure to APIs, Git, Linux, cloud and on-premises environments, monitoring tools, and foundational generative or agentic AI concepts.

Develop and implement Python-based automation for applications, infrastructure, and SRE operations. Build provisioning, configuration, and operational automations; integrate monitoring and observability workflows; troubleshoot automation issues; and collaborate with cross-functional teams. The role requires exposure to cloud and on-premises environments, APIs, Git, Linux, monitoring tools, and foundational Generative AI and Agentic AI concepts.

Designs and delivers end-to-end automation architectures, frameworks, and resilient solutions for large-scale environments. Integrates observability and monitoring ecosystems, applies platform engineering concepts, and provides technical leadership and architectural guidance. The role requires hands-on Python development, with preferred Linux and DevOps experience, plus exposure to GenAI and agentic AI implementations.

Develop custom software solutions and advanced automation frameworks using Python. Build reusable components, automate infrastructure and observability platforms, and ensure reliability, security, and efficiency. Collaborate with teams on scalable implementations, including GenAI and agentic AI applications, Infrastructure as Code, CI/CD, REST APIs, and multi-cloud or hybrid environments.

Develop scalable custom software and advanced automation frameworks using Python. Automate infrastructure and observability systems while ensuring reliability, security, and efficiency. Build reusable components, support GenAI and agentic AI applications, and collaborate with teams to deliver measurable outcomes across multi-cloud and hybrid environments. The role requires infrastructure-as-code, CI/CD, Git, REST API, Linux, networking, and monitoring technology experience.

Design, develop, test, operate and maintain full-stack banking software. Own production-ready code, perform code reviews, ensure scalability, reliability, security and compliance, and support DevOps/CI-CD and modernization efforts.

Designs and develops AI-native SAP applications using ABAP Cloud, RAP, CDS, and OData. Integrates LLMs, agentic workflows, embeddings, and RAG pipelines with SAP business processes and enterprise APIs. Builds secure, observable, testable, and scalable AI solutions with guardrails, evaluation frameworks, authorization controls, and production-grade cloud architectures.

Develop enterprise SAPUI5 applications using MVC, responsive design, JavaScript, OData, and SAP Fiori principles. Build AI-native user experiences incorporating LLMs, tool integrations, retrieval grounding, safe action boundaries, and evaluation loops. Implement automated UI testing with QUnit and OPA-style acceptance testing, optimize performance, and collaborate with stakeholders to prototype and deliver reliable production solutions.

Configure and optimize SAP Materials Management processes, including procure-to-pay, purchasing, inventory, material master, vendor management, release strategies, and pricing. Support requirements, solution design, testing, deployment, and hypercare while integrating MM with SD, FI, PP, QM, and supplier systems. Use AI copilots and prebuilt AI services for documentation, testing, data validation, diagnostics, automation, and process insights. Collaborate across procurement, warehouse, finance, production, quality, and integration teams while maintaining governance and data standards.

Develops and enhances custom software solutions while creating automated tests and scripts. Responsibilities include automation and technical testing, software or systems programming, debugging web and mobile applications, analyzing analytics tags, identifying issues, and collaborating with technical teams. The role requires an informal leadership background, strong communication, and individual contribution.

Develop enterprise SAPUI5 applications using MVC, responsive and component-based design, JavaScript, OData, JSON, CSS, and Git. Build AI-native user experiences incorporating LLMs, tool-augmented interactions, grounded retrieval, safety boundaries, and evaluation loops. Implement QUnit and OPA-style testing, optimize performance, apply SAP Fiori principles, and collaborate with stakeholders to deliver reliable, production-ready interfaces.

Develop and enhance SAP CRM Sales solutions across lead, opportunity, quotation, pricing, partner, and order processes. Gather requirements, design and configure solutions, perform testing, deploy changes, and provide hypercare support. Integrate CRM with SAP ECC/S4, third-party platforms, middleware, and customer applications. Use AI copilots and prebuilt AI services for documentation, testing, analysis, troubleshooting, lead scoring, summarization, and workflow automation while maintaining governance, data privacy, and quality standards.

Configure, optimize, integrate, test, deploy, and support SAP SuccessFactors Onboarding solutions. Gather requirements, design workflows, manage compliance forms and documents, coordinate integrations with Employee Central and external HR systems, and support UAT and hypercare. Use AI copilots and prebuilt AI services to accelerate documentation, testing, troubleshooting, and configuration validation while following privacy, compliance, security, and responsible AI standards. Collaborate with HR, technical teams, clients, and business stakeholders.