Top Software Engineer Jobs in India

Develop cloud-based network management software, owning features for device configuration, monitoring dashboards, integrations, telemetry performance, real-time updates, and mobile field applications. Build APIs, automation tools, and database integrations; troubleshoot customer issues; research networking technologies; and mentor junior engineers. Collaborate across teams using Agile practices while applying cloud, DevOps, testing, and network protocol expertise.

Build and operate backend infrastructure for Databricks’ large-scale data and AI platform. Responsibilities include developing cloud-agnostic infrastructure abstractions, foundational platforms across regions and cloud providers, engineering productivity tools, and backend systems based on distributed systems and service-oriented architectures. The role requires hands-on participation across design, development, implementation, and ongoing operations.

Build and maintain automated API, integration, contract, regression, system, end-to-end, performance, scalability, and reliability tests for cloud platform services. Develop test frameworks, infrastructure, mocks, and tooling; integrate quality gates into CI/CD pipelines; investigate distributed-system failures using observability data; and partner with engineering and DevOps teams to improve software reliability and testability.

The role involves designing, developing, and maintaining software applications, collaborating with teams, writing code and tests, and providing technical support.

Design, build, test, and operate scalable, secure backend APIs and services. Contribute to system design for scalability and resilience, write production-ready code, troubleshoot production incidents, improve observability and automation, and collaborate with Product, Architecture, Security, and SRE teams.

Design, develop and deploy large-scale distributed systems and services on Databricks' data platform. Collaborate with backend and DDS teams to enhance product features and performance.

The Senior Software Engineer in Observability will develop metrics and logging standards, enhance system scalability, and collaborate to ensure operational excellence.

Develop and optimize Java software for network management, including network device models, configuration infrastructure, data collection, and testing systems. Contribute to large codebases, software architecture, and engineering initiatives while collaborating with networking, distributed systems, big data, and search experts. The role requires understanding of networking fundamentals and may involve protocols and technologies such as BGP, OSPF, IPv4/IPv6, MPLS, VLAN, and VXLAN.

Develop and maintain scalable software applications across frontend and backend systems. Responsibilities include writing reusable code, debugging, testing, optimization, code reviews, troubleshooting, and collaboration with design, product, and QA teams. The role requires programming knowledge, data structures and algorithms, web development, databases, SDLC understanding, and strong analytical and communication skills. Preferred experience includes modern frameworks, Git, cloud platforms, APIs, microservices, and software development internships or projects.

Leads maintenance and development of Windows desktop medical products with hardware integration. Designs, codes, reviews, debugs, tests, documents, deploys, and supports software throughout the product lifecycle. Defines system requirements, applies object-oriented and architectural design patterns, uses Agile methodologies, supports regulatory needs, coordinates work, and conducts security and risk analysis.

Designs, executes, and validates manual tests for firmware-driven products and software-controlled hardware. Performs firmware functional and system integration testing, evaluates hardware-software interactions and system behavior, manages test cases, and produces technical documentation for formal verification, validation, and regulatory submissions.

Design, develop, debug, and enhance scalable automotive-grade Linux applications in C and C++ for embedded telematics platforms. Translate business requirements into agile tasks, support proof-of-concepts and product demonstrations, and build technical expertise across telematics domains. Work with inter-process communication, multithreading, version control, embedded build systems, and unit testing while collaborating across global teams.

Leads complex cross-platform engineering initiatives, solves difficult distributed-systems problems, coordinates cross-functional teams, mentors engineers, and advises senior leadership. The role drives architecture, roadmap execution, resource planning, reusable solutions, proofs of concept, and product innovation. It also represents Harness with customers and stakeholders and provides technical leadership across global engineering teams.

Lead the architecture and technical direction of Cisco Secure Access CASB and AVC capabilities. Define roadmaps for application discovery, SaaS controls, DLP, malware scanning, and AI-powered security. Own the application-intelligence platform, including data quality, model monitoring, human validation, and scalability. Establish security, privacy, performance, resilience, and observability foundations while translating customer and threat insights into scalable products. Provide cross-team technical leadership, mentorship, and hands-on guidance for complex architectural decisions.

Lead the design and development of scalable, high-performance backend services and platform components for SaaS and identity workloads. Drive complex feature implementation, architectural improvements, and third-party integrations. Review code and designs, mentor junior engineers, resolve escalations, collaborate across teams, and use GenAI tools to produce development specifications. Contribute technical blogs and presentations while ensuring enterprise-grade quality, responsiveness, and reliability.

Translate design specs into pixel-perfect, responsive web interfaces using TypeScript, CSS3, and HTML. Follow design systems and accessibility (WCAG) standards, optimize frontend performance, resolve spec ambiguities, collaborate remotely via documentation and code reviews, and provide frontend expertise to support AI model evaluation.

Own the Platform frontend and backend, design data models, APIs and services for industrial assets, build performant, data-dense UIs, review code, make technical tradeoffs, collaborate with partners, and mentor teammates while iterating quickly.

Lead architecture, design, and implementation of scalable .NET/Angular SaaS solutions for the ONESOURCE Tax Provision suite. Drive technical decisions, mentor engineers, participate across the Agile lifecycle, ensure quality, estimate efforts, collaborate with stakeholders, and explore innovative AI-first tools to improve development and delivery.

Provide L2 application support for People, SGDIR and IGG applications. Manage incidents and problems per ITIL, monitor and troubleshoot tickets using SQL and Excel, and use Informatica and DevOps knowledge to debug and fix minor issues to ensure smooth operations.

Develop and maintain networking datapath software for access, aggregation, metro, and mobile backhaul using JunOS/Junos EVO. Collaborate with product, system and solution test teams, support TAC escalations, and contribute across design, development, deployment, and support. Focus on system-level C/C++ development on Unix/Linux with networking features like QoS/CoS, ACLs, firewalls and protocol support.

Work on a real production project as a software engineering intern: design, implement, test, and ship code; participate in code reviews and design discussions; collaborate with engineers and cross-functional stakeholders; learn systems and communicate progress with mentors.

Build and own large-scale evaluation pipelines and observability infrastructure to measure and improve AI assistant and agent quality. Design scalable, secure, cost-efficient distributed systems for evals, trace processing, telemetry, dashboards, and integration with ML and product workflows.

Build end-to-end product experiences for enterprise AI agents: authoring, evaluation, feedback/self-improvement loops, deployment, guardrails, and scalable, reliable agent operation across frontend and backend systems.

The Backend Engineer will architect and maintain secure, high-performance microservices and databases, ensuring reliable data processing at scale.

Build internal tools, automations, and AI-augmented workflows by embedding with teams, generalizing solutions into reusable platforms, integrating with vendors and internal systems, and creating measurement pipelines to track spend, adoption, and ROI signals.