Top Software Engineer Jobs in India

Develop and support high-performance Java applications and enterprise integrations. Responsibilities include software analysis, design, development, performance engineering, code reviews, testing, CI/CD, and day-to-day support. The role also involves evaluating emerging tools, operationalizing AI-enabled engineering workflows, maintaining quality and security standards, coaching junior developers, and communicating technical direction across teams.

Leads architecture and development of highly available, globally distributed payment systems operating at massive scale. Designs reusable libraries, platforms, service interactions, and enterprise architecture standards while driving scalability, resiliency, performance, security, and cost improvements. Guides technical strategy across products and programs, resolves complex distributed-systems challenges, influences engineering decisions, consults across teams, and communicates technical insights through presentations, publications, and thought leadership.

Leads development and operation of API gateway, microservices, and platform engineering capabilities on AWS. Designs secure, scalable APIs and event-driven systems; establishes reusable engineering standards; contributes to architecture, coding, reviews, testing, automation, CI/CD, reliability, and production support. Partners across teams and coaches engineers on responsible AI-assisted development, secure validation, and operational excellence.

Leads software engineering within an agile banking technology team, designing, developing, testing, and troubleshooting secure, scalable Java backend and microservices applications. Reviews code, improves operational stability, evaluates architectures and vendors, and promotes automation and enterprise-approved AI-assisted development practices. Requires expertise in cloud platforms, distributed systems, REST APIs, WebSockets, JSON, SQL and NoSQL databases, software security, resiliency, CI/CD, and team mentorship.

Develop, test, and deploy scalable authorization and IAM services using Go, Node.js, or Python. Design automated tests, improve CI/CD quality gates, define monitoring alerts and runbooks, and support reliable zero-downtime deployments. Partner with Product and UX across time zones to refine requirements and align technical roadmaps with business value. Contribute technical leadership, documentation, process improvements, and AI-assisted development practices in a distributed, remote-first environment.

Leads design, development, testing, troubleshooting, and operational stability for secure, scalable Java software within an agile markets technology team. Writes and reviews production code, drives automation and resiliency, evaluates architectures and emerging technologies, and serves as a technical subject matter expert. Promotes responsible AI-assisted engineering practices, coaches teams on secure validation, and collaborates with global stakeholders. The role also supports modernization of mainframe applications using distributed technologies and cloud platforms.

Lead frontend architecture and full-stack development for Navan’s enterprise travel platform. Build accessible, performant React, Angular, or Vue interfaces; complex configuration workflows; dashboards; and integrations. Develop Java and Spring Boot backend services, APIs, database integrations, and scalable distributed systems. Own features end-to-end, collaborate with product and design teams, establish UI best practices, implement testing and monitoring, mentor engineers, and guide frontend architecture strategy.

Leads forward-deployed engineering engagements delivering enterprise data solutions on Databricks and Snowflake. Owns delivery strategy, architecture, governance, privacy, security, compliance, budgets, vendors, metrics, and executive communications. Establishes scalable lakehouse and warehouse patterns, drives platform roadmaps, and builds high-performing engineering teams across complex cloud and hybrid environments.

Lead hands-on software engineering for cloud-native data and AI/ML products within a financial markets technology team. Responsibilities include designing and developing secure production software, microservices, distributed systems, data engineering solutions, cloud infrastructure, DevOps, and MLOps capabilities. The role also drives responsible AI-assisted engineering practices, creates architecture artifacts, supports operational stability, and promotes automation, governance, and engineering best practices across teams.

Lead development and deployment of production-grade internal and customer-facing software, including scalable Big Data pipelines and cloud-native services. Responsibilities include Agile delivery, CI/CD, automated testing, defect analysis, production monitoring, stakeholder demonstrations, backlog planning, and 24/7 product support. The role requires strong Java backend development, Flink and Kafka expertise, REST APIs, AWS and Kubernetes deployment, databases, and DevOps practices.

Leads organization-wide software systems architecture and development across multiple platforms. Evaluates technologies and external development partners, integrates solutions into technology roadmaps, reviews designs for quality and standards compliance, and influences executive and industry decisions. Provides technical leadership, mentorship, and guidance on complex software design, testing, debugging, and architecture initiatives.

Own the architecture and implementation of a server-rendered web component platform for AI-native user experiences. Lead rendering performance, streaming UX, Kubernetes runtime security, multi-tenant isolation, developer tooling, and agentic experience primitives. Write production code across TypeScript, Lit.js, Node.js, and Kubernetes; collaborate with ML, SRE, security, UX, and product teams; mentor senior engineers; and connect platform decisions to business outcomes.

Architects and leads organization-wide software systems design across platforms and business units. Evaluates technologies, guides architecture and integration decisions, improves product quality, mitigates risk, and ensures development standards. Provides technical leadership, mentors engineers, influences executives and external partners, and contributes innovations through patents, whitepapers, and deployed solutions. The role requires advanced software architecture expertise, testing knowledge, strong communication, and approximately 12 or more years of experience.

Leads organization-wide software architecture and development methodologies across platforms. Evaluates technologies and external development partnerships, guides integration into technology roadmaps, reviews designs for quality and standards compliance, influences executive and industry decisions, and mentors engineers. The role requires advanced software systems expertise, testing knowledge, architectural leadership, innovation, and strong communication skills.

Develops and supports software platform solutions using ServiceNow within MetLife’s financial services technology environment. The description emphasizes building an AI-enabled, people-centered future but provides limited role-specific responsibilities or qualification details.

Lead performance engineering for HPE Alletra object and file storage products. Define testing strategies, KPIs, benchmarks, workload models, capacity plans, and release criteria. Design and automate performance and regression tests, investigate bottlenecks across software and infrastructure layers, conduct root-cause analysis, and influence architecture through scalability insights. Develop Python-based tools, support customer-critical escalations, contribute to readiness assessments, and mentor engineers.

Designs, executes, and automates software update validation for HPE Alletra storage platforms. Tests upgrades across storage software, Kubernetes, firmware, operating systems, switches, and infrastructure services, including resiliency, failover, recovery, interoperability, scalability, rollback, and disaster recovery scenarios. Troubleshoots issues across storage, Linux, Kubernetes, networking, and distributed systems, develops Python-based automation, performs root-cause analysis, and provides release-readiness recommendations.

Designs and executes performance validation, benchmarking, scalability testing, and workload analysis for HPE Alletra object and file storage solutions. The engineer develops automation and analytics tools using Python and JavaScript, diagnoses bottlenecks across hardware, operating system, networking, storage, and distributed software layers, and leads root-cause investigations. The role also defines performance metrics, acceptance criteria, capacity plans, and tuning strategies while collaborating with architects, developers, QA, and product teams.

Leads software engineering within JPMorgan Chase’s Consumer and Community Banking technology team. Designs, develops, tests, troubleshoots, and reviews secure production code; improves application stability through automation and remediation; promotes responsible AI-assisted engineering practices; and evaluates vendor and internal architectural solutions. Requires advanced programming expertise, cloud-native experience, SDLC proficiency, agile practices, security knowledge, and financial services IT experience.

Supports Vertafore’s AWS-based Desktop as a Service environment and customer infrastructure. Responsibilities include Microsoft 365, Exchange Online, Active Directory, DNS, Windows Server, AWS, firewalls, virtual desktops, endpoint security, backups, disaster recovery, and automation. The role troubleshoots complex technical issues, leads customer-impacting incident resolution, supports end users across multiple channels, coordinates with vendors and technical teams, and documents solutions. Rotational shifts provide coverage from 8 a.m. to 8 p.m. EST.

Design and build scalable backend platforms, APIs, event infrastructure, and developer integration frameworks. Establish architectural and engineering best practices, improve testing and monitoring, review designs and code, mentor engineers, and ensure reliable production delivery. The role requires expertise in Java or Kotlin, AWS, microservices, distributed systems, messaging, databases, and platform API design.

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.

Lead software engineering for JPMorgan Chase’s Accelerator business by designing scalable, secure, reliable cloud-native products. Responsibilities include domain modeling, software architecture, resilient deployments, performance optimization, incident resolution, technology modernization, and zero-downtime releases. The role also drives responsible adoption of AI-assisted engineering tools, automated testing, secure coding, code review, and knowledge sharing across collaborative teams.

Leads software engineering for secure, scalable banking technology products. Responsibilities include providing technical direction, developing and reviewing Java code, designing cloud-native platforms and microservices, driving AI-assisted engineering adoption, improving SDLC automation, and supporting live migrations and production operations. The role requires expertise in AWS, Spring, databases, Kafka, APIs, observability, SRE, CI/CD, automated testing, and responsible AI practices, along with mentoring engineers and influencing broader technical teams.