Top Software Engineer Jobs in Bangalore

Designs and delivers end-to-end automation architectures, frameworks, and resilient software solutions for large-scale environments. Responsibilities include developing Python-based custom software, integrating observability and monitoring systems, applying platform engineering and DevOps concepts, and providing technical architectural leadership. The role requires hands-on ownership, strong architectural thinking, and exposure to GenAI and agentic AI implementations.

Lead teams in designing and delivering enterprise-scale automation platforms. Define automation strategy, architecture, roadmaps, and standards while building Python-based solutions across AWS, Azure, GCP, and hybrid-cloud environments. Oversee GenAI, AIOps, observability, SRE, and DevOps initiatives, ensuring delivery quality, KPI achievement, value realization, and business outcomes. Responsibilities include people leadership, program management, and scalable automation architecture.

Develop scalable custom software and advanced automation frameworks using Python. Automate infrastructure and observability processes, build reusable components, and support reliable, secure, and efficient implementations. Collaborate with teams to deliver measurable outcomes across multi-cloud and hybrid environments. Apply Infrastructure as Code, CI/CD, Git, REST APIs, Linux, networking, and observability technologies such as Prometheus, Grafana, ELK, Datadog, and Splunk. Contribute to GenAI and agentic AI applications.

Develop custom software and advanced automation frameworks using Python, modern frameworks, Infrastructure as Code, CI/CD, and observability tools. Build scalable, reliable, secure automation across infrastructure and hybrid or multi-cloud environments. Create reusable components, integrate GenAI and agentic AI applications, and partner with teams to deliver measurable business outcomes.

Develop Python-based automation 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, Git, Linux, APIs, monitoring tools, and foundational generative and agentic AI concepts.

Designs and delivers end-to-end automation architectures and resilient software frameworks for large-scale environments. The role develops Python-based custom solutions, integrates observability and monitoring ecosystems, applies platform engineering and DevOps practices, and provides technical leadership. Exposure to GenAI and agentic AI implementation is expected, along with strong architectural thinking and hands-on execution ownership.

Develop and maintain 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. The position requires at least two years of Python experience and 15 years of full-time education.

Develop custom software solutions and advanced automation frameworks using Python. Build reusable components, automate infrastructure and observability workflows, and support reliable, secure, efficient operations. Apply Infrastructure as Code, CI/CD, Git, REST APIs, Linux, networking, GenAI, and agentic AI technologies across multi-cloud and hybrid environments. Collaborate with teams to deliver scalable implementations and measurable business outcomes.

Develop scalable custom software and advanced automation frameworks using Python. Automate infrastructure and observability systems, build reusable components, and ensure reliability, security, and efficiency. Collaborate with teams to deliver measurable outcomes through GenAI, infrastructure as code, CI/CD, REST APIs, monitoring tools, and multi-cloud or hybrid environments.

Develop and maintain scalable React.js and Node.js applications, microservices, REST APIs, and AWS serverless solutions. Integrate Generative AI, LLMs, RAG, prompt engineering, tool calling, and agentic workflows into enterprise applications. Collaborate with architects, technical leads, QA, UX, and product teams on design, code reviews, troubleshooting, optimization, testing, and CI/CD automation. Apply cloud, security, observability, and responsible AI practices.

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

Designs and delivers end-to-end automation architectures, frameworks, and resilient software solutions for large-scale environments. The role involves Python development, integration with observability and monitoring ecosystems, platform engineering, GenAI and agentic AI implementation, and providing technical architecture and leadership guidance.

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

Develop Python-based automation for application and infrastructure provisioning, configuration, and operations. Integrate monitoring and observability workflows, troubleshoot automation issues, and collaborate with cross-functional teams. The role involves cloud and on-premises environments, scripting 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, 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 AI and Agentic AI concepts.

Develop and maintain scalable full-stack applications using React.js, Node.js, REST APIs, microservices, and AWS serverless services. Integrate Generative AI, LLMs, RAG, prompt engineering, tool calling, and agentic workflows into enterprise applications. Collaborate on architecture, technical design, code reviews, testing, troubleshooting, performance optimization, and CI/CD automation. Apply cloud, security, observability, and responsible AI practices.

Develop advanced Python automation frameworks and reusable software components across infrastructure and observability environments. Build scalable, reliable, secure, and efficient solutions using Infrastructure as Code, CI/CD, Git, REST APIs, and modern AI capabilities. Collaborate with teams to deliver measurable outcomes across multi-cloud and hybrid platforms. The role requires strong analytical and communication skills and is based in Bengaluru.

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 and agentic AI concepts.

Lead automation architecture and delivery at enterprise scale. Responsibilities include developing Python-based automation solutions, defining strategy and roadmaps, leading automation engineering teams, overseeing large-scale platforms, and ensuring KPI, quality, and business value targets. The role requires expertise in GenAI, Agentic AI, AIOps, cloud platforms, observability, SRE, DevOps, architecture, people management, and program management.

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, Git, APIs, Linux, monitoring tools, and foundational Generative AI and Agentic AI concepts.

Develop advanced Python automation frameworks and reusable software components across infrastructure and observability platforms. Build scalable GenAI and agentic AI applications, automate infrastructure, and support reliability, security, and efficiency. Collaborate with teams on large-scale implementations and measurable outcomes using Infrastructure as Code, CI/CD, APIs, Linux, networking, monitoring, and multi-cloud technologies.

Develop custom software and advanced automation frameworks using Python, modern frameworks, and agile practices. Build reusable components, automate infrastructure and observability workflows, and improve reliability, security, and efficiency. Collaborate with teams on large-scale implementations and measurable automation outcomes. The role involves infrastructure as code, CI/CD, REST APIs, Linux, networking, monitoring tools, GenAI or agentic AI applications, and multi-cloud or hybrid environments.

Develop Python-based automation 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 requires exposure to APIs, Git, Linux, cloud and on-premises environments, monitoring tools, and foundational Generative AI and Agentic AI concepts.

Design, develop, review, and maintain enterprise software and system architecture. Lead backend development, implement security best practices, integrate AI in the SDLC, mentor junior engineers, participate in code reviews, and ensure compliance with development processes and documentation.

Build, deploy, and operate full-stack cloud applications on SAP BTP. Develop Node.js backend services, APIs, SAPUI5 interfaces, data models, and SAP HANA persistence solutions. Configure platform environments, connectivity, roles, destinations, and MTA deployments. Integrate agentic AI capabilities including LLM tool calling, orchestration, memory, retrieval-grounded responses, evaluation, and safety boundaries. Apply Git workflows, testing, debugging, CI/CD practices, and Agile/Scrum delivery methods.