Top Software Engineer Jobs in India

Build and maintain front-end and middle-tier enterprise web applications. Design and implement cloud-native RESTful APIs using Java/Spring Boot, create responsive UIs with Angular/TypeScript, apply TDD and automation, deploy via CI/CD to AWS/Azure, follow secure coding and 12-factor/containerization best practices, and collaborate across squads to ensure maintainability and stability.

Build and maintain core components of Fortanix’s Data Security Manager platform. Develop backend services and REST APIs, automate the software development lifecycle, and improve code quality, stability, scalability, performance, and security. Collaborate with global engineering teams to translate product requirements into technical designs and implementation plans. The role focuses on distributed systems, microservices, cloud platforms, CI/CD, Docker, and Kubernetes.

Design and maintain high-throughput backend services and concurrent asynchronous workflows for AI agent evaluation. Build control-plane integrations with secure execution environments, scalable gRPC and REST APIs, and resilient event-driven systems. Collaborate across teams, document technical designs, review code, test comprehensively, monitor performance, investigate bottlenecks, and ensure reliable distributed orchestration. Apply understanding of LLM APIs, prompt constraints, and non-deterministic AI system testing.

Lead the design, development, testing, and operational support of secure, scalable cloud-native applications using microservices. Build production-quality software, review code, resolve and automate recurring issues, modernize systems, optimize data performance, and enable resilient zero-downtime releases. Apply domain modeling, promote engineering best practices, and lead communities of practice. Preferred experience includes banking and AWS certification.

Leads enterprise-scale software engineering initiatives for synthetics monitoring, telemetry, and observability across on-premises and cloud platforms. Designs, codes, tests, and documents complex solutions; establishes engineering standards; mentors teams; and advises leadership. Develops full-stack and AI-powered observability capabilities, including anomaly detection, root-cause analysis, remediation automation, and operational toil reduction. Collaborates with technical stakeholders to resolve performance and connectivity issues and improve platform availability.

Leads software engineering initiatives involving Workday reporting, calculated fields, dashboards, scorecards, and Prism Analytics data ingestion, transformation, and dataset management. Designs, codes, tests, debugs, documents, deploys, and supports solutions while resolving technical issues, guiding junior staff, collaborating with stakeholders, and supporting production releases and critical reporting milestones.

Design and build scalable, production-quality AI-native software for Microsoft Partner Center and the global sales ecosystem. Responsibilities include analyzing workflows and data flows, prototyping agentic solutions, integrating systems and signals, improving reliability and performance, debugging production software, and delivering secure, compliant AI-powered services.

Leads the enterprise SRE transformation by defining strategy, operating models, reliability standards, observability practices, and AI-enabled operational workflows. Builds SRE capabilities, mentors teams, improves incident response and service performance, and partners with engineering, infrastructure, governance, and business stakeholders. Drives automation, resilience, capacity management, telemetry, error budgets, and secure, auditable AI adoption across production operations.

MetLife is seeking a Senior Software/Platform Engineer for its DevOps Engineering organization. The provided description contains limited role-specific details, but the position likely involves developing, maintaining, and improving software platforms, infrastructure, and DevOps capabilities in support of MetLife’s technology environment.

Develop and maintain microservices in Golang and Python, build RESTful APIs, manage Docker/Kubernetes deployments, and implement infrastructure as code with Terraform. Manage AWS and on-prem infrastructure, design PostgreSQL schemas and Redis caching, configure CI/CD pipelines, optimize database performance, and contribute to system design including Kafka-based event-driven architectures.

Develop and support a cloud-enabled SaaS merchandise management product. Responsibilities include designing scalable software components, building customer-specific interfaces, collaborating on implementation, testing, code reviews, and agile ceremonies, analyzing defects, and proposing solutions. The role also mentors junior and mid-level associates and works with React.js, Node.js, Snowflake, PL/SQL, Oracle, Azure, REST APIs, DevOps tools, and related technologies.

Build and deploy AI-powered customer solutions across discovery, prototyping, and production. Responsibilities include designing secure multi-tenant and hybrid architectures, integrating identity and access management, encryption, networking, data engineering, CI/CD, observability, and production support. The role partners directly with enterprise customers, executive sponsors, and cross-functional teams to solve ambiguous problems, demonstrate prototypes, and standardize successful solutions. Regular domestic and occasional international travel is required.

Design, develop, deploy, and maintain enterprise Power Platform solutions using Power Apps, Power Automate, Dataverse, and Copilot Studio. Build AI-powered agents and integrate workflows with Microsoft 365, SQL Server, Azure services, external APIs, and business data. Translate requirements into scalable designs, implement secure data models and ALM practices, collaborate with stakeholders, test and optimize solutions, and support deployments while following governance, security, and Responsible AI principles.

Design, build, deploy, and maintain enterprise Power Platform solutions using Power Apps, Power Automate, Dataverse, and Copilot Studio. Develop AI-powered agents, integrate Microsoft 365, SQL Server, Azure services, APIs, and external data sources, and implement secure data models and ALM practices. Translate business requirements into scalable designs, collaborate with stakeholders, test and optimize solutions, support deployments, and follow governance, security, and Responsible AI principles.

Lead design, build, and operate reliable batch and streaming data pipelines, curate domain datasets with contracts and SLAs, implement ETL/ELT validation, build APIs and search/indexing pipelines, enable AI/ML data foundations, and enforce security, governance, observability, and operational excellence.

Build and ship scalable SaaS features for government agencies using ReactJS, TypeScript, GraphQL, NodeJS, and Python. Responsibilities include end-to-end full-stack development, technical design, debugging, cross-functional collaboration, AI-driven workflow development, operational improvement, and mentoring junior engineers. The role requires expertise in software engineering fundamentals, databases, algorithms, observability, GraphQL APIs, and event-driven architecture.

Develop and enhance custom software components and Workday integrations across systems and applications. Collaborate with cross-functional teams to gather requirements, troubleshoot integration issues, maintain reliable software, document designs, and guide junior team members. The role requires independent execution, technical expertise, agile development practices, integration design knowledge, cloud platforms, APIs, and data transformation skills.

Develop and enhance custom software and scalable data solutions using Databricks, data pipelines, distributed computing, and big data frameworks. Collaborate across teams, make technical decisions, lead best-practice initiatives, mentor junior engineers, resolve platform issues, and drive continuous improvement. The role requires translating business requirements into maintainable applications and optimizing data workflows in cloud environments.

Develop and lead scalable custom software and data analytics solutions using Databricks. Design data pipelines, distributed processing architectures, and automated workflows; optimize application performance; troubleshoot issues; collaborate across teams; make technical decisions; and mentor junior engineers. Ensure enterprise application integration and alignment with business objectives.

Design, develop, and enhance custom software solutions using Azure Databricks and modern development practices. Lead cross-functional teams, make technical decisions, solve complex data-processing problems, and deliver scalable data pipelines and analytics workflows. Optimize performance, troubleshoot distributed systems, improve development processes, and mentor junior engineers while ensuring solutions meet evolving business requirements.

Develop, design, code, troubleshoot, document, and enhance scalable custom software components using Ab Initio and modern agile development practices. Collaborate with cross-functional teams to analyze requirements, resolve complex issues, improve performance, and provide technical guidance to junior team members. The role requires independent execution, subject matter expertise, active team participation, and continuous maintenance of software solutions.

Design, develop, and enhance scalable custom software solutions using Databricks and cloud-based data pipelines. Lead implementation aligned with business objectives, troubleshoot and optimize analytics applications, coordinate cross-functional integration and deployment, make team decisions, and mentor team members while collaborating across multiple teams.

Develop, configure, test, document, and enhance custom software applications using Databricks. Collaborate with stakeholders and cross-functional teams to translate business requirements into scalable data solutions. Troubleshoot and optimize application performance, participate in agile development, contribute to technical discussions, and provide guidance to junior team members while working independently toward subject-matter expertise.

Develop and enhance custom software and scalable data solutions using Databricks. Design optimized data pipelines, troubleshoot analytics platforms, and apply scripting and automation in cloud environments. Serve as a subject matter expert, manage team decisions, collaborate across teams, mentor junior engineers, coordinate stakeholders, and drive best practices and continuous improvement.

Develop and enhance custom software and scalable data solutions using Databricks. Design optimized data pipelines, apply distributed computing and big data processing, automate workflows, troubleshoot platform issues, and collaborate across teams. Serve as a subject matter expert, make team decisions, coordinate stakeholders, mentor junior engineers, establish best practices, and lead continuous improvement initiatives.