Top Software Engineer Jobs in India

Design, develop, and maintain software tools and automation for large-scale data center networks. Collaborate with network infrastructure engineers to maintain network automation and monitoring platforms, support scalable network architectures, participate in code reviews, and use AI coding tools for rapid prototyping. The role requires programming experience in Go or Python, Linux familiarity, networking knowledge, and exposure to CI/CD, containers, observability, automation frameworks, and version control.

Develop and maintain automated testing frameworks for Morningstar Indexes applications. Define automation strategies, create test cases, and implement coverage across UI, backend integration, databases, and web services. Integrate automation with CI/CD and cloud testing environments, document defects, assist with root-cause analysis, and collaborate with technology and business teams throughout development and operations.

Build and operate production AI agents on Cloudflare’s edge platform using Workers, Durable Objects, storage services, model tooling, and agent frameworks. Responsibilities include tool integration, semantic memory, evaluations, guardrails, observability, security boundaries, human escalation, event processing, and performance optimization. The role requires end-to-end ownership, production operations, and on-call support for globally deployed customer-facing agents.

Develops, deploys, operates, and troubleshoots scalable, low-latency fraud decisioning services across AWS, Kubernetes, cloud, and on-premise environments. Builds CI/CD pipelines, improves observability and reliability, supports production incidents, automates infrastructure, collaborates in Agile Scrum teams, and delivers secure software and technical documentation. The role also incorporates AI-driven incident analysis, anomaly detection, and intelligent CI/CD automation.

Lead the architecture and delivery of enterprise backend services, APIs, distributed systems, cloud-native applications, and agentic AI workflows. Design scalable solutions using Java, Spring Boot, AWS, event-driven architectures, and modern data platforms. Drive modernization, observability, security, reliability, automation, and engineering standards. Mentor engineers, lead technical initiatives, influence platform strategy, and collaborate across product, security, operations, and architecture teams.

Design, develop, and maintain software tools and automation for large-scale data center networks. Collaborate with network infrastructure engineers to maintain automation and monitoring platforms, support scalable network architectures, participate in code reviews, and use AI coding tools for rapid prototyping and deployment.

Develop and maintain scalable software and AI-enabled solutions across the product lifecycle. Collaborate with agile product teams, build full-stack and cloud-native capabilities, implement CI/CD, automated testing, observability, and DevOps practices, and contribute to responsible AI development. Own production reliability through monitoring, incident response, root cause analysis, and continuous improvement while reducing technical debt and sharing engineering best practices.

Develop scalable full-stack web applications and APIs using C#, .NET, AWS, SQL Server, and PostgreSQL. Responsibilities include designing reliable products, writing unit tests, practicing continuous integration and test-driven development, resolving production issues, improving system instrumentation, collaborating with product managers, following Agile practices, and applying secure, scalable software architecture. The role is based in Mumbai with a hybrid schedule.

Develops and maintains secure Salesforce solutions using Apex, Lightning Web Components, and Salesforce APIs. Writes clean code, automated tests, and CI/CD pipelines; performs debugging, defect management, integration and end-to-end test automation. Collaborates in Agile/Scrum teams with product managers, designers, and engineers, supports production applications, documents systems, and improves software quality and deployment processes.

Leads a 6–8-person engineering team building database observability products, including telemetry agents, ingestion pipelines, recommendation engines, and AI-driven diagnostics. Owns technical direction, architecture, roadmap delivery, reliability, DevOps, hiring, mentoring, and performance management. Partners with Product and Design while guiding distributed systems, streaming, database, and AI engineering initiatives.

Develop and support Python and React applications that enable data visualization, dataset sharing, automated code generation, and natural-language application development. Build APIs and web applications using AWS, databases, caching, and search technologies. Collaborate with researchers, analysts, portfolio managers, data scientists, and operations users while applying secure coding, testing, CI/CD, agile practices, and responsible AI-assisted development.

Build and maintain platform-level microservices, internal tools, and foundational services using Golang, ReactJS, Docker, Kubernetes, and PostgreSQL. Design scalable distributed architectures, CI/CD pipelines, and secure cloud-ready systems. Support developer experience through libraries, patterns, and documentation while improving observability, reliability, and performance. Collaborate with engineering, DevOps, and product teams on architecture, code reviews, and technical design.

Leads architecture, integration, deployment, and operation of multi-cloud solutions across AWS and GCP. Builds infrastructure with Terraform and Ansible, develops automation in Python or Go, and manages Kubernetes, Docker, Linux, observability, incident response, SLOs, and 24x7 production support. Partners with customers and engineering teams to troubleshoot and improve highly available services. AI/LLM platform, Jenkins/Groovy, and backend development experience are advantageous.

Develops, tests, troubleshoots, and maintains secure, scalable full-stack software for hedge fund applications. The role involves writing high-quality code, analyzing data, supporting system design, participating across the software development lifecycle, and applying agile, CI/CD, resiliency, security, and AI-assisted development practices. Preferred technologies include Java, Spring Boot, ReactJS or Angular, Python, cloud platforms, and relational databases such as SQL Server and Oracle.

Lead the design, development, automation, and reporting of integration and system tests across firmware, BMC, Linux device drivers, and hardware. Own test strategy, infrastructure, feature validation, debugging, bug triage, root-cause analysis, CI/CD automation, code reviews, and quality improvements. Collaborate with hardware, software, and QA teams, mentor junior engineers, drive corrective actions, and provide technical leadership for complex system software testing.

Build, design, test, deploy, maintain, and improve cloud software using distributed systems and cloud technologies. Manage project priorities, deadlines, and deliverables while collaborating on complex engineering initiatives. The role requires strong software engineering fundamentals, programming ability, problem-solving skills, and familiarity with cloud platforms, containers, Kubernetes, and microservice architectures.

Designs, develops, tests, and deploys scalable full-stack web applications using ReactJS, NodeJS/Express, PostgreSQL, and AWS. Builds REST APIs, manages Docker-based cloud deployments and CI/CD pipelines, optimizes performance, implements security standards, troubleshoots incidents, conducts code reviews, and collaborates with global stakeholders. Uses AI coding assistants to improve development efficiency and quality.

Designs and executes testing strategies for HPE storage offerings and integrated cloud solutions. The role validates integrations, analyzes results, debugs failures, drives defects to closure, documents test plans and outcomes, identifies coverage gaps, and collaborates with engineering, product, QA, and support teams. It also leads tester project teams, coordinates internal and outsourced partners, represents testing in complex development projects, and mentors junior engineers.

Build and productionize agentic AI and LLM-powered applications, including RAG systems, conversational interfaces, intelligent search, and advisory assistants. Design secure distributed services with tool orchestration, authentication, observability, evaluation, and responsible AI controls. Apply Python, APIs, cloud platforms, data engineering, and CI/CD practices. Collaborate with stakeholders, mentor engineers, and develop reusable AI engineering standards and components.

Own complex software features, services, integrations, and technical workstreams from design through production. Solve ambiguous engineering problems, make project-level technical decisions, improve reliability and scalability, and apply secure engineering practices. Use AI-assisted development tools responsibly, diagnose production issues, and guide other engineers through reviews, collaboration, and knowledge sharing. The role focuses on enterprise technology, cloud environments, automated testing, observability, and maintainable production systems.

Build and manage developer productivity platforms, tooling, MCP servers, and AI agents that help engineers deploy and operate Cloudflare services. Responsibilities include improving GitOps practices, responding to platform incidents, strengthening security and resource contention controls, advising application teams on architecture, and driving initiatives that improve engineering productivity and developer experience.

Develops and supports secure, scalable Salesforce solutions for Asset and Wealth Management. Responsibilities include designing and coding Apex, LWC, Aura Components, integrations, triggers, asynchronous processes, and platform events; administering Salesforce configuration; implementing Sales and Service Cloud capabilities including Agentforce; producing architecture artifacts; analyzing data; and improving system quality, resiliency, security, and automation through Agile and CI/CD practices.

Designs, develops, tests, and maintains Java applications, services, automation solutions, and reusable testing frameworks. Collaborates with product and engineering teams, contributes to architecture and code reviews, improves test coverage and quality metrics, supports CI/CD quality gates, and applies secure coding, monitoring, observability, and reliability practices. Uses tools including Playwright, RestAssured, TestNG, Cucumber, Git, and AI-assisted development tools.

Lead architecture and hands-on implementation of agentic and generative AI systems for a secure FinTech platform. Architect scalable agent registries, policy engines, observability, CI/CD and progressive delivery. Fine-tune and prompt-engineer foundation models, mentor Staff Engineers/Tech Leads, run design clinics, align across Security/Compliance/Data, and drive production readiness and incident response.

Build enterprise observability capabilities across on-premises and cloud platforms. Design, code, test, debug, and document large-scale software solutions using full-stack development, microservices, monitoring, and cloud technologies. Develop AI-powered observability features including anomaly detection, root-cause analysis, and remediation automation. Provide technical leadership, establish engineering standards, collaborate with stakeholders, mentor peers, and guide adoption of innovative AI and agentic systems.