Top Software Engineer Jobs in Bangalore

Design, develop, test, deploy, maintain, and improve software. Manage project priorities, deadlines, and deliverables while using technical expertise to identify and resolve bottlenecks in the software stack. The internship is onsite in Bangalore from January through May 2027 and is intended for self-starting computer science students graduating in 2027 from circuital branches.

Develop and support identity management applications using SailPoint and Java across IdentityIQ and IdentityNow. Build integrations, features, workflows, rules, APIs, and CI/CD capabilities; perform testing, documentation, production support, and root-cause analysis. Collaborate with vendors, business stakeholders, and IT teams to define requirements and deliver reliable solutions. Establish coding standards, improve processes, and mentor developers while participating in on-call support.

Designs, develops, tests, documents, and supports integration solutions using Dell Boomi. Collaborates with product and engineering teams, automates deployments via AtomSphere and CI/CD, debugs issues, participates in code reviews, and improves development and deployment processes.

Develops secure, scalable platform services within an agile payments technology team. Responsibilities include software design, production coding, testing, troubleshooting, architecture documentation, distributed-systems engineering, Kubernetes operations, infrastructure automation, CI/CD development, and data-driven system improvements. The role also requires responsible use and validation of AI-assisted development tools and collaboration on secure, stable, high-quality software delivery.

Develop and operate scalable, durable, high-performance object storage systems at cloud scale. Responsibilities include designing distributed storage solutions, programming primarily in Go, supporting platform availability and performance, tuning systems, contributing to open-source projects, and collaborating with engineering peers. The role involves storage protocols such as S3, observability, concurrency, parallelism, and potentially gRPC, Ceph, and storage hardware.

Designs, develops, tests, troubleshoots, and maintains secure, scalable software systems. Owns architecture artifacts, CI/CD pipelines, progressive delivery, production stability, incident response, observability, resiliency, and root-cause analysis. Uses cloud platforms, monitoring tools, automation, and enterprise-approved AI coding assistants while validating outputs for correctness and security. Analyzes application data to identify patterns and improve code quality, system architecture, and operational effectiveness.

Software engineering interns will build and apply engineering skills across cloud platforms, big data platforms, application development, and related technology areas. They will work independently or on global project teams, receive mentorship and performance feedback, gain exposure to Cargill’s businesses, and participate in learning and networking activities. The internship runs January through June 2027 onsite in Bengaluru, with potential for a full-time Associate Software Engineer offer.

Develop secure, high-quality software and infrastructure for Chase UK’s digital banking platform. Responsibilities include developer tooling, CI/CD enablement, system design, application development, troubleshooting, architecture documentation, data analysis, operational stability, and participation in engineering communities. The role requires experience with cloud services, infrastructure as code, container orchestration, modern programming languages, testing, Agile methodologies, and the software development lifecycle.

Develops secure, scalable iOS applications using Swift and Objective-C. Responsibilities include designing architecture, writing production code, consuming REST APIs, debugging performance issues, maintaining app lifecycle behavior, analyzing application data, and using AI-assisted development tools responsibly. The role also involves producing technical artifacts, improving engineering practices, and coaching teams on secure and compliant AI adoption.

Design, develop, test, troubleshoot, optimize, scale, and maintain cloud-based applications and services. Create architectural solutions, technical requirements, specifications, and test plans while ensuring secure, scalable, maintainable code. Support deployments and releases, review code, identify performance and system issues, and collaborate across teams. Lead and mentor engineers, enforce development standards, and promote automation, testing, continuous improvement, and engineering excellence.

Build and operate internal developer productivity platforms, including developer tools, MCP servers, AI agents, CI/CD automation, GitOps workflows, and policy-as-code guardrails. Monitor adoption, improve platform security and reliability, support remediation workflows, partner with product teams, and respond to incidents affecting internal engineering platforms.

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.

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.

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.

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.

Lead backend software engineering initiatives from technical design through launch. Solve complex architecture and reliability challenges, deliver shared solutions for engineering teams, establish code review and documentation standards, manage high-risk fixes, influence company-wide initiatives, mentor engineers, and make customer-focused technical decisions across cloud and developer productivity environments.

Design, build, test, and operate cloud-native back-end microservices (Java) for banking products. Ensure secure, scalable, reliable systems, zero-downtime releases, performance optimization, incident management, and responsible use of enterprise AI-assisted development tools.

Develop secure, high-quality software and supporting infrastructure for Chase UK’s digital banking platform. Responsibilities include system design, application development, testing, troubleshooting, CI/CD and developer-experience improvements, architecture documentation, data analysis, and operational stability. The role also involves Atlassian SaaS administration, SSO and SCIM integrations, and Terraform-based infrastructure provisioning while collaborating with distributed engineering teams.

Designs, develops, tests, debugs, and documents front-end software features. Collaborates with product, design, and engineering teams, automates deployments, participates in code reviews, and provides technical support to maintain application performance and reliability.

Develop and deliver high-quality software features and integrations for form data frameworks; write maintainable code, build and update automated tests and CI/CD pipelines, monitor and debug production performance, and collaborate with global engineers and product teams.

Develop network-centric automation tools and self-service portals: build SPAs, microservices (Python/Golang), gRPC/REST APIs, CI/CD pipelines, IaC, observability integrations, automated tests, and participate in on-call rotations to resolve deployment or tooling outages while collaborating with network engineers.

Maintain and improve an on-premises Process Mining application, support customer migrations to the Celonis Platform, increase reliability and security, automate development processes, troubleshoot complex issues, mentor teammates, and contribute to an inclusive engineering culture.

Develop and maintain software applications within a development team. Analyze requirements, create technical specifications, write, review, debug, and document code, and recommend product enhancements. Work on scripting, APIs, data transformation, and complex mapping documents using XML, XSD, XSLT, JSON, Java, Angular, and TypeScript. Resolve complex issues with minimal supervision, communicate status, and collaborate effectively.

Develops and troubleshoots secure, scalable software using Java, ReactJS, and AWS within an agile team. Responsibilities include full software development lifecycle participation, AI-assisted coding, automated testing, system integration, technical troubleshooting, data analysis, and adherence to security, resiliency, and responsible AI practices.