Top Software Engineer Jobs in India

Design and develop scalable Java backend services, APIs, and distributed systems. Own features from design through delivery, collaborate with product managers, implement automated testing, conduct code reviews, and optimize performance, reliability, observability, and production readiness. The role also involves troubleshooting complex systems, validating AI-powered workflows, and promoting engineering craftsmanship and knowledge sharing.

Design, develop, and maintain Linux-based NAS appliance software using Python and Bash. Work on storage, filesystem, packaging, deployment, upgrades, lifecycle management, and platform services. Diagnose complex operating system, virtualization, multithreaded, and I/O issues in customer environments. Optimize XFS and ext4 performance, build automated tests, collaborate on high-severity escalations, and influence platform architecture. The role also involves low-level systems integration, CI pipelines, and responsible use of AI-assisted development tools.

Develop backend services and data migration tooling that modernize relational databases into MongoDB-based microservices architectures. Design and implement scalable, data-intensive systems using Java, Spring Boot, Kafka, and Debezium. Collaborate with product managers, engineers, and designers; participate in code reviews and technical design; troubleshoot distributed systems; and contribute to testing, CI/CD, and the team’s technical roadmap.

Architects, builds, and scales secure cloud-native infrastructure for security operations and exposure management. Leads distributed systems and microservices development, REST/gRPC API design, observability, troubleshooting, and service optimization. Collaborates with front-end engineers, mentors junior developers, and drives end-to-end technical execution. Requires extensive experience with Java, Spring, containers, cloud platforms, distributed systems, cloud storage, and the full software development lifecycle, with preferred expertise in AI security, high availability, disaster recovery, TDD, Agile, CI/CD, and databases.

Lead and mentor a team of software engineers building scalable control-plane components for Zscaler’s cloud security products. Define technical roadmaps, develop distributed systems, improve observability and reliability, and collaborate with SRE, Support, and Customer Success. The role requires deep networking, Kubernetes, container infrastructure, AI/ML, and high-throughput systems expertise, with preferred experience in control-plane architecture, state management, RPC frameworks, and LLM integrations.

Design, modernize, and deploy resilient cloud security platforms and data pathways for Zscaler’s global infrastructure. Develop high-availability routing solutions, technical frameworks, and cloud-native security capabilities. Collaborate across teams to optimize public cloud deployments, provide hands-on technical leadership, conduct code reviews, prototype solutions, and mentor engineers. The role requires deep C/C++ systems programming, Linux expertise, networking knowledge, and experience with cloud security infrastructure.

Own the architecture, roadmap, and performance of ServiceNow’s front-end platform and framework. Build reusable component systems, lead cross-team technical initiatives, resolve complex production issues, guide architecture and code reviews, mentor engineers, establish AI-assisted development guardrails, and partner with product and design. The role requires extensive front-end platform experience, deep JavaScript and TypeScript expertise, modern UI framework knowledge, performance optimization skills, and staff-level technical leadership.

Lead the design, development, and production operation of large-scale cloud-native platform components. Build Kubernetes operators, controllers, infrastructure automation, and platform services using Go. Drive technical strategy, reliability, scalability, observability, and operational excellence across managed and self-managed Kubernetes environments. Mentor engineers, lead complex initiatives, collaborate with senior architects, and support distributed, stateful workloads on public clouds.

Leads the design, development, and operation of large-scale Kubernetes platform services. Owns complex cloud-native components from architecture through production, develops operators and controllers in Go, drives reliability and scalability, mentors engineers, manages technical risks, and partners on platform strategy. The role requires extensive distributed systems, public cloud, stateful workload, automation, observability, CI/CD, and infrastructure-as-code experience.

Build high-scale cybersecurity integrations using APIs, webhooks, streaming data, and unified security models. Develop AI-native integrations, autonomous threat reasoning, and automated security orchestration. Create scalable libraries and frameworks, resolve complex customer issues, collaborate with R&D and Product teams, prototype AI security use cases, and help evolve the integration factory into a self-service low-code/no-code platform.

Owns the technical direction, architecture, safety, evaluation, and reliability infrastructure for agentic and conversational AI capabilities across HR Service Delivery. Establishes standards for prompts, tools, autonomy, retrieval, observability, and production quality; leads architectural decisions, incident resolution, cross-team alignment, and mentorship. The role is hands-on for critical integrations and prototypes but primarily focuses on scalable platform patterns, evaluation systems, governance, and accountable AI-assisted engineering.

Design, build, and operate production-grade agentic AI systems for ServiceNow’s enterprise platform. Responsibilities include multi-agent orchestration, tool use, planning, memory, retrieval and grounding, model integration, evaluation, safety governance, observability, and failure recovery. The role requires ownership of scalable system and database architecture, technical leadership, architecture decisions, code reviews, mentoring, and stakeholder communication.

Leads quality assurance and software testing for large-scale card payment authorization systems. Develops test strategies, plans, automation, regression assessments, and release validation; translates requirements into test methods; performs functional, system, UAT, and integration testing; manages defects and root-cause analysis; mentors team members; and collaborates with developers, business teams, and payment-domain experts.

Lead technical strategy and architecture for Toast’s international payments platform. Design, build, and maintain resilient, high-scale distributed systems and fintech products; lead complex cross-team initiatives; champion software delivery practices and AI-enabled development; mentor and hire engineers; and partner with product, engineering, and business stakeholders to deliver secure, mission-critical payment solutions.

Leads software engineering for secure, scalable, production-grade applications within an agile banking technology team. Designs and develops Java-based microservices, Kafka event-streaming platforms, and high-volume Apache Flink or Spark data pipelines. Provides technical direction, reviews code, improves system operability and resiliency, evaluates architectures, and drives adoption of approved AI-assisted development practices. Collaborates with vendors and internal stakeholders while mentoring teams and promoting engineering best practices.

Design, build, deploy, and operate scalable microservices and distributed applications. Develop APIs, implement automated testing, troubleshoot production incidents, participate in on-call rotations, coordinate integrations, improve software quality, and mentor junior engineers. Collaborate with product and client-facing teams to address customer needs while working in a cloud-native SaaS environment.

Leads the design, development, deployment, and operation of scalable cloud-native microservices and distributed systems. Provides technical leadership and mentorship, designs APIs and event-driven integrations, ensures reliability, security, observability, and data integrity, and supports production operations and on-call responsibilities. Collaborates with product and client-facing teams while driving technical initiatives, delivery quality, and continuous improvement.

Develop and operate scalable NFS, distributed file systems, and storage platforms at cloud scale. Design high-availability file storage solutions, program primarily in Go, optimize distributed systems, troubleshoot complex production issues, and collaborate with engineering and open-source communities. The role focuses on improving storage reliability, automation, performance, and customer adoption across block, file, backup, image, and object storage services.

Lead software engineering delivery across design, development, testing, troubleshooting, and operational stability. Build secure, scalable production code in Java and Python, review team contributions, and promote AI-assisted engineering practices with strong validation, security, and responsible AI standards. Automate recurring remediation, improve application resilience, and evaluate vendor and internal technology solutions. Full-stack development, financial services, and cloud-native experience are preferred.

Designs and leads development of scalable distributed systems and microservices for Clearwater’s investment platform. Responsibilities include API and event-driven integration design, cloud production operations, data security and observability, technical leadership, mentoring, delivery planning, incident response, and operational excellence. The role also partners with product and clients, tracks team metrics, and evaluates emerging technologies.

Design, build, deploy, and operate scalable microservices and distributed applications. Develop well-tested APIs and services, troubleshoot production incidents, participate in on-call, coordinate integrations, improve software quality, address customer needs, and mentor less-experienced engineers. The role requires cloud, CI/CD, monitoring, database, automated testing, and distributed-systems experience, with preferred exposure to AI/ML, Kubernetes, infrastructure as code, event streaming, observability, and financial services.

Leads the architecture, strategy, and implementation of enterprise backend .NET services. Designs scalable cloud-native microservices, API-driven and event-driven systems, and distributed platforms using technologies such as Kafka, Kubernetes, AWS, Azure, and SQL Server. Provides enterprise-wide technical leadership, drives architectural standards, coordinates complex cross-functional delivery, evaluates emerging technologies, solves critical technical problems, and mentors senior engineering teams.

Leads the design, development, and operation of secure, scalable Python and Flask services, REST APIs, and cloud applications. Provides architecture leadership, code reviews, debugging, production support, and technical direction across teams. Builds on GAP and AWS, works with SQL and CockroachDB, performs data analysis, and governs responsible AI-assisted engineering practices.

Leads design, development, testing, and maintenance of enterprise-scale payment applications. Builds Java and Spring Boot microservices, REST APIs, GraphQL services, and React micro frontends. Drives secure coding, automated testing, CI/CD, cloud-native development, observability, troubleshooting, architecture, and responsible AI-assisted engineering practices. Collaborates across product, architecture, operations, and engineering teams while ensuring performance, resiliency, scalability, and maintainability.

Build and operate production backend services supporting Supabase AI products, including the MCP server. Responsibilities include service architecture, deployments, scaling, authentication and authorization, observability, reliability targets, on-call incident response, rate limiting, capacity management, and API evolution. The role requires strong TypeScript or Go skills, production backend experience, distributed-systems debugging, and collaboration with Platform and SRE teams in a fully remote environment.