Top Software Engineer Jobs in Bangalore

Develops, troubleshoots, and maintains secure, scalable software within an agile Payments Technology team. The role involves Python development, observability using OTel and Dynatrace, SDLC practices, AI-assisted coding, data analysis, microservices, AWS deployments, Terraform, and relational databases. Responsibilities include writing high-quality code, addressing technical issues, considering system dependencies, and contributing to resilient application development.

Develops, tests, troubleshoots, and maintains secure, scalable software within an agile Asset and Wealth Management team. Writes Python or Java code, works with databases and large datasets, supports application resiliency and security, and participates across the software development lifecycle. Uses enterprise-authorized AI-assisted development tools responsibly for coding, testing, troubleshooting, and documentation. Preferred experience includes high-performance Python, Redis, Kafka, specialized time-series databases, and AWS.

Build and maintain scalable, high-performing frontend applications and tools. Collaborate with engineers, designers, and managers to solve user problems; contribute to reviews, documentation, and complex fixes; lead projects through design, implementation, launch, and operations; and mentor junior engineers.

Develops secure, scalable Java software for JPMorganChase’s Asset and Wealth Management Technology team. Responsibilities include application design, coding, troubleshooting, architecture documentation, testing, data analysis, and operational stability. The role uses AWS services, Cassandra, microservices, distributed systems, messaging, observability tools, and enterprise-authorized AI coding tools. It requires evaluating AI-generated outputs for correctness, performance, security, and responsible use within agile software development workflows.

Maintain and improve AWS cloud infrastructure supporting Chase UK’s 24/7 digital bank. Responsibilities include enhancing connectivity, security, performance, deployment pipelines, CI/CD tooling, developer platforms, and software delivery experience. The role involves using Bash, Python, and Go, supporting Kubernetes, databases, and Kafka, and participating in an on-call rotation.

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.

Winter software engineering intern responsible for identifying software bottlenecks and designing, developing, testing, deploying, maintaining, and improving software. The role includes managing project priorities, deadlines, and deliverables while working on Rubrik’s Continuous Product Development team in Pune. Candidates must meet academic eligibility requirements and be available for an onsite internship from January through May 2027.

Leads software engineering within an agile banking technology team, designing, developing, testing, debugging, and operationally stabilizing secure Java and Spring Boot applications in AWS. Reviews code, improves automation and remediation, promotes responsible AI-assisted development, validates AI outputs, coaches engineers, and evaluates vendor and architectural solutions. Requires strong software architecture, cloud, resiliency, security, CI/CD, and financial services technology expertise.

Leads software engineering for secure, scalable financial-services applications. Responsibilities include designing and developing Java and Spring Boot microservices, reviewing code, troubleshooting, improving operational stability, and applying AWS cloud services. The role also drives responsible adoption of AI-assisted development tools, establishes validation and security standards, supports agile SDLC practices, and evaluates architectural solutions with vendors and internal teams.

Leads software engineering for secure, scalable financial-services applications. Designs, develops, tests, reviews, and troubleshoots production code; improves application resiliency and automates recurring remediation. Guides agile SDLC practices and responsible adoption of AI-assisted development tools. Evaluates architecture and technology solutions with vendors and internal teams. Requires advanced Java, Spring Boot, microservices, AWS, cloud-native development, databases, and financial-services technology experience.

Design and implement scalable backend services and APIs for Zscaler’s multitenant cloud security platform. Maintain code quality through testing, monitoring, debugging, and performance optimization. Mentor engineers, participate in code reviews and Agile processes, collaborate cross-functionally, and support a highly available platform through on-call rotation and federal compliance requirements.

Leads software engineering efforts within an agile banking technology team. Designs, develops, tests, debugs, and maintains secure, scalable Java-based distributed systems and microservices. Reviews code, improves operational stability, automates recurring remediation, and promotes resilient development practices. Guides responsible adoption of AI-assisted engineering tools, coaches teams on secure validation, and evaluates vendor and architectural solutions. Requires experience with Java, Spring Boot, Spring Cloud, event-driven systems, messaging platforms, CI/CD, application security, and financial services technology.

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.

Leads software engineering within an agile banking technology team. Designs, develops, tests, reviews, debugs, and operationalizes secure Java distributed systems. Drives adoption of approved AI-assisted engineering tools, establishes validation and responsible-use standards, automates recurring issue remediation, and improves application resiliency. Evaluates vendor and internal architectural solutions while supporting software development lifecycle practices, CI/CD, security, and cloud-native delivery.

Leads software engineering initiatives focused on site reliability, resiliency, observability, scalability, and operational excellence. Designs, codes, tests, debugs, documents, and deploys technology solutions; resolves complex production issues; improves distributed systems; automates operational processes; and drives reliability metrics, capacity planning, incident management, and technical debt remediation. Serves as an escalation point, leads projects, collaborates with stakeholders, and mentors less experienced engineers across hybrid enterprise environments.

Leads software engineering initiatives focused on site reliability, resiliency, observability, scalability, and availability. Designs, codes, tests, debugs, documents, deploys, and supports complex platform and application services. Troubleshoots distributed production systems, builds automation, manages incidents and technical debt, improves reliability metrics, and mentors engineers across hybrid enterprise environments.

Lead backend engineering for Chase UK’s digital banking platform. Design and deliver secure, scalable cloud-native microservices using Java, RESTful APIs, messaging, and distributed systems. Build effective automated tests, optimize data access and performance, support production systems, manage incidents, and ensure zero-downtime releases. Coach engineers, guide architecture and coding practices, manage stakeholders, and promote responsible AI-assisted development with strong validation, security, and compliance standards.

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 complex software engineering and reliability initiatives for production systems. Owns availability, scalability, performance, observability, SLOs, incident response, disaster recovery, and resilience. Designs Grafana, Prometheus, and Splunk monitoring solutions; develops Python automation and self-healing workflows; applies AI/ML to operational analytics; and partners with cloud, platform, application, and SRE teams. Provides technical leadership, mentors engineers, establishes engineering standards, and drives reliability improvements across large-scale regulated systems.

Develop and prototype innovative game features used by millions of players. Ensure performance, reliability, and live game health; lead complex technical problem solving, conduct design and code reviews, collaborate with product, UX, art, and QA teams, and mentor junior engineers. The role also involves debugging, architectural thinking, and continuous improvement of game performance in an agile environment.

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.

Leads software quality engineering and test automation activities, including designing automated frameworks, test plans, and scripts for UI, API, microservice, integration, regression, and performance testing. Integrates testing into CI/CD pipelines, manages defects, analyzes failures, validates software requirements, and collaborates with developers and stakeholders in an Agile environment. The role also supports test strategy, code reviews, static analysis, Azure-based applications, and continuous improvement of quality practices.

Develop automation frameworks and automated tests for Zscaler Client Connector. Expand test coverage and infrastructure, create test plans, execute manual and automated testing, investigate defects, identify root causes, and reproduce customer issues. Collaborate with development, product management, and cloud operations teams throughout product design and release. The role requires strong Python programming, CI/CD automation, networking knowledge, and experience testing VPN or network traffic products.

Lead feature design and hands-on C++ development for Zscaler Client Connector on Linux. Own complex projects from concept through deployment, improve code quality and security, optimize high-speed packet processing, and collaborate with Quality Assurance. The role requires distributed systems experience, strong operating-system and network programming knowledge, and expertise in C/C++, algorithms, debugging, TCP/IP, HTTP/S, DNS, proxies, and kernel-mode networking. Preferred experience includes AI-driven operations, cybersecurity, encryption, endpoint agents, socket programming, and POSIX multithreading.

Designs, develops, maintains, and improves scalable software applications and systems. Leads AI adoption across software deployment automation, collaborates with product and engineering teams, troubleshoots complex issues, participates in code reviews, and documents applications and deployment processes. Creates training, demonstrations, workshops, playbooks, reusable patterns, and use cases to help engineering teams and business stakeholders adopt AI solutions.