Top Software Engineer Jobs in Bangalore

Develop, modernize, and harden PlayReady core technologies across device and server environments. Own technically complex work, improve code quality and portability, support live-site operations and on-call rotations, apply security best practices, participate in architecture and design reviews, create test strategies including security tests, and mentor junior engineers.

Develop and maintain user-facing frontend features for Cisco Webex Partner Hub. Implement accessible, pixel-perfect UI components, integrate RESTful APIs, collaborate with designers and backend engineers, participate in code reviews and testing, monitor frontend performance, and resolve UI issues under senior guidance. The role emphasizes learning, code quality, responsive design, and effective use of AI-assisted coding tools.

Develop and maintain SAP Commerce Cloud and Hybris e-commerce capabilities including cart, checkout, orders, payments, delivery, pricing, promotions, and customer journeys. Build OCC REST APIs, integrations, and platform features; troubleshoot production issues; improve performance, scalability, code quality, and stability; and support testing, technical design, code reviews, releases, and post-release operations in CCV2 environments.

Design, build, test and deploy cloud-enabled diagnostic informatics software across multiple subsystems. Troubleshoot defects, perform root cause analysis, document solutions, research new tools, and recommend improvements for scalability, CI/CD, and quality. Collaborate with engineering and operations on deployments and product modernization.

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

Develop and enhance custom software components using scalable architectures, modern frameworks, agile practices, and Generative AI. Collaborate with cross-functional teams to analyze requirements, troubleshoot performance issues, maintain existing systems, document solutions, and contribute to CI/CD practices. The role also involves independently solving technical problems, participating in team discussions, and mentoring junior colleagues.

Develop scalable custom software and advanced automation frameworks using Python. Automate infrastructure and observability workflows while ensuring reliability, security, and efficiency. Build reusable components, support infrastructure as code and CI/CD practices, integrate GenAI and agentic AI applications, and collaborate with teams to deliver measurable outcomes across multi-cloud and hybrid environments.

Develop Python-based automation for application, infrastructure, and SRE operations. Build provisioning and configuration workflows, integrate monitoring and observability, troubleshoot automation 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.

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, APIs, Git, Linux, monitoring tools, and emerging generative or agentic AI capabilities.

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 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 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 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.