Top Software Engineer Jobs in India

Develop and maintain secure, scalable Java backend applications within an agile team. Responsibilities include system design, coding, testing, troubleshooting, architecture documentation, data analysis, and 24/7 Level 3 application support on rotation. The role requires expertise in Java, Spring, Kafka, Kubernetes, REST, Hibernate, JSON, Oracle, SQL, UNIX, CI/CD tools, and AI-assisted development, along with strong software design, resiliency, security, and responsible AI practices.

Designs, develops, and supports Python and .NET automation services, integrations, workflows, and reusable frameworks. Builds REST API and messaging integrations, data transformations, testing, CI/CD pipelines, monitoring, and secure production solutions. Troubleshoots incidents, performs root cause analysis, maintains documentation, and improves reliability, performance, resilience, and cost efficiency while collaborating with vendors and technical stakeholders.

Design, develop, and maintain secure, scalable Java/Spring Boot microservices on AWS. Produce architecture and design artifacts, troubleshoot complex issues, analyze large datasets to improve systems, and apply CI/CD, resiliency, and secure coding practices. Use enterprise AI-assisted development tools responsibly to improve code quality while validating outputs.

Leads software engineering initiatives for electronic trading systems. Designs, codes, tests, debugs, documents, and supports low-latency, high-throughput Java applications and exchange connectivity protocols. Troubleshoots production issues, collaborates with traders, product managers, and operations teams, and ensures coding, architectural, security, regulatory, and compliance standards. Contributes to distributed systems, real-time data processing, automated testing, CI/CD, and continuous architecture and process improvements.

Leads the design, development, testing, optimization, and production support of low-latency, high-throughput Java trading applications. Responsibilities include electronic and algorithmic trading, exchange connectivity, real-time messaging, system monitoring, risk and compliance, troubleshooting, architecture enhancement, automated testing, and collaboration with traders, product managers, operations, and engineering teams. The role also mentors engineers and drives technical initiatives across exchange connectivity, algorithmic trading, and time-series systems.

Develop and maintain cloud-native full-stack applications using Java, Spring Boot, ReactJS, APIs, databases, Azure, and mobile technologies. Troubleshoot production issues, apply cloud and AI/data best practices, and collaborate with global teams in an Agile environment. Follow CI/CD and DevOps practices while contributing to digital transformation initiatives.

Designs and develops Java and Node.js applications and microservices, optimizes databases and queries, maintains CI/CD pipelines, conducts code reviews, mentors junior developers, troubleshoots production issues, and collaborates with cross-functional teams to deliver scalable software solutions.

Develops secure, scalable Java full-stack applications for Payments Technology. Responsibilities include software design, coding, testing, troubleshooting, architecture documentation, production stability, data analysis, and continuous improvement. The role uses AI-assisted development tools responsibly, supports SDLC automation, and works within agile practices including CI/CD, resiliency, and security. Preferred experience includes React, JavaScript, AWS, and cloud-agnostic deployments.

Build automated testing and verification frameworks for application and database modernization. Develop tools for functional equivalence, performance validation, data integrity, contract testing, database state comparison, and LLM-based unit test generation. Collaborate on architecture, distributed systems troubleshooting, code reviews, technical designs, CI/CD, and cross-functional product delivery.

Develop, troubleshoot, and maintain secure, high-quality software components within an agile team. Use enterprise-authorized AI-assisted development tools, participate across the SDLC, build and test systems considering upstream/downstream impacts, and work with large datasets to inform secure, stable application development.

Develops secure, scalable software for AI/ML and generative AI platforms within an agile team. Responsibilities include Python and AWS development, platform engineering, MLOps, data governance, LLM fine-tuning, multi-agent orchestration, troubleshooting, automation, continuous integration, and communicating technical solutions across the organization.

Maintain and improve AWS cloud infrastructure, networking, Kubernetes platforms, deployment pipelines, and CI/CD tooling supporting a 24/7 digital bank. Build automations, enhance developer experience, support application teams, and participate in on-call operations. The role emphasizes cloud stability, performance, security, compliance, infrastructure as code, DevOps practices, and collaboration across engineering squads.

Develops secure, scalable Salesforce solutions; designs architecture, writes and reviews code, integrates Salesforce with external systems, troubleshoots production issues, implements testing and CI/CD, mentors developers, maintains documentation, supports project planning, and ensures compliance with security standards.

Design, build, and secure identity and access systems using OIDC/OAuth 2.0, SAML, Active Directory, JWT/JWKS, X.509, PKI, and TLS. Own authentication token lifecycles, reverse-proxy components, end-to-end testing, customer identity troubleshooting, packaging, documentation, and a Windows C#/.NET companion application. Collaborate with product, engineering, and support teams to maintain secure, reliable releases.

Designs and implements complex data-processing pipelines and software solutions in collaboration with business and product teams. Responsibilities include clarifying requirements, creating technical designs, contributing to platform and product quality, conducting code reviews, testing, onboarding engineers, and working in Agile environments. The role requires experience with Big Data technologies, databases, cloud platforms, AI tools, Python, GitHub, object-oriented design, and software development principles.

Manage incentive-system data intake, processing, reporting, output, archival, and quality assurance. Investigate discrepancies, perform root-cause analysis, improve process flows, automate recurring activities, support system troubleshooting, and maintain data integrity. Collaborate with stakeholders, handle data-processing inquiries, document procedures, and apply SQL and Python to analysis and automation. Varicent experience is optional.

Lead and deliver complex blockchain platform initiatives: design, develop, test, implement and monitor applications and system components; ensure operational efficiency, risk compliance, mentor engineers, collaborate with stakeholders, and partner with production support and platform teams.

Architect and develop scalable security platform services using Golang or Java. Define technical roadmaps, manage projects, collaborate with cross-functional stakeholders, write and review well-tested code, debug complex backend systems, improve operational reliability, and mentor engineers. The role focuses on security, compliance, privacy, secrets and key management, identity access management, vulnerabilities, and onchain security capabilities.

Develop, test, implement, document, maintain, and support secure, scalable software applications. Build API and UI test automation, validate system integrations, implement CI/CD quality gates, refactor automation code, and follow software quality and security standards. Collaborate with cross-functional Agile teams, meet delivery timelines, report project metrics, identify emerging issues, and recommend solutions.

Provide production/application support for enterprise healthcare platforms: manage incidents, perform root cause analysis, use monitoring/observability and ticketing tools, collaborate with development/infrastructure/business teams, troubleshoot data and application issues using SQL, scripting, and cloud knowledge to meet SLAs and improve operational reliability.

Develop and test full-stack applications using C#, SQL, .NET Core, and Angular. Collaborate in an Agile scrum team, refine requirements, conduct code reviews, solve backend, frontend, database, and infrastructure problems, and design reusable components and frameworks. Support automation, CI/CD, DevOps, application architecture, planning, and AI-enabled productivity improvements.

Develop and test Ericsson’s cloud-native infrastructure and network management software for 5G products. Responsibilities include requirements analysis, application design, feature development, test automation, and AI-enabled workflow integration. The role uses Go, Python, Kubernetes, Helm, Docker, microservices, REST APIs, Robot Framework, Linux, and Agile tools while contributing to architecture-aligned modules and intelligent automation.

Designs, develops, troubleshoots, and maintains secure, scalable Java software solutions within an agile team. Builds Spring Boot microservices and Kafka-driven event systems, creates architecture artifacts, supports CI/CD and automated testing, and ensures operational resiliency. Analyzes large datasets to improve applications, coding practices, and system architecture. Uses and evaluates enterprise-authorized AI-assisted development tools while following responsible AI, security, and data-sensitivity practices.

Leads development of robust Java and Node.js applications and microservices, optimizing databases for scalability and performance. Performs code reviews, mentors junior developers, enforces engineering best practices, and implements CI/CD pipelines. Collaborates with cross-functional teams, troubleshoots complex development and production issues, and evaluates emerging technologies and productivity tools such as GitHub Copilot.

Develop and support Salesforce solutions through design, coding, testing, debugging, documentation, deployment, and production support. Build integrations with enterprise systems using REST, SOAP, JSON, and XML. Apply Salesforce data modeling, sharing, security, unit testing, CI/CD, and DevOps practices. Collaborate with architects, product owners, technology teams, and partner applications while addressing service quality, compliance, and risk requirements. The role requires in-office work and adaptability to emerging AI technologies.