Top Software Engineer Jobs in Bangalore

Develop and enhance custom software components using SAP Plant Maintenance, modern frameworks, and agile practices. Design scalable solutions, integrate software components, troubleshoot defects, and translate complex requirements into technical designs. Act as a subject matter expert, support team decisions, improve processes, coordinate cross-functional delivery, and mentor junior team members. The role is based in Hyderabad and requires collaboration across multiple teams.

Develop and enhance custom software solutions using AWS, modern frameworks, and agile practices. Design scalable architectures, manage cloud infrastructure, deploy applications, troubleshoot performance issues, and improve reliability. Collaborate with cross-functional teams, contribute to technical solutions, document processes, participate in discussions, and mentor junior team members.

Develop and enhance custom software and database solutions using Oracle Database Administration, modern frameworks, and agile practices. Responsibilities include database performance tuning, backup and recovery, security and access management, troubleshooting, automation, documentation, cross-functional collaboration, and mentoring junior team members.

Design, build, test, deploy, and support secure, scalable backend services, APIs, and event-driven solutions. Develop React applications, resolve production and performance issues, own services throughout their lifecycle, and collaborate with Product, Architecture, Security, and Platform teams. Provide technical leadership through mentoring, stakeholder engagement, knowledge sharing, and continuous engineering improvement.

Design, build, and scale infrastructure software, APIs, developer platforms, and self-service tools. Automate provisioning, configuration, deployment, and runtime operations while reducing engineering toil. Apply software engineering best practices, develop observability and self-healing systems, maintain reliability, and collaborate with Security, Systems, and Product Engineering teams. The role focuses on backend systems, infrastructure automation, CI/CD, testing, and scalable developer tooling.

Provides end-to-end technical support for global clients using Fluent Order Management. Responsibilities include troubleshooting post-implementation issues, resolving incidents within SLAs, automating monitoring, developing and testing enhancements, maintaining runbooks, analyzing operational trends, and communicating with client and IT stakeholders. The role requires rotational shifts and on-call support, along with hands-on experience in Java, GraphQL, REST APIs, Python, API testing, and CI/CD practices.

Develop and lead custom software solutions using Node.js, including designing, coding, enhancing, and integrating scalable applications. The role involves RESTful API development, database integration, asynchronous and event-driven programming, team collaboration, technical decision-making, stakeholder communication, and mentoring junior engineers.

Develop and enhance custom software solutions using Node.js, asynchronous programming, event-driven architecture, RESTful APIs, and database technologies. Lead team decisions, collaborate across multiple teams, resolve technical challenges, implement engineering best practices, mentor team members, and coordinate cross-functional delivery. The role requires at least five years of Node.js experience and 15 years of full-time education.

Design, develop, and maintain Selenium-based test automation frameworks and scripts using Java. Execute functional, regression, integration, and end-to-end testing; create test cases; analyze automation feasibility; manage defects; and collaborate with developers and stakeholders. The role requires Agile participation, SDLC/STLC knowledge, independent execution, framework scalability improvements, strong debugging skills, and use of AI tools such as Copilot to improve testing efficiency.

Develop and enhance custom applications using Microsoft Power Apps. Design scalable solutions, integrate Microsoft services and third-party APIs, automate workflows, model data, optimize performance, and troubleshoot applications. Collaborate with cross-functional teams using agile practices, contribute to technical problem-solving, stay current with emerging technologies, and mentor junior team members while working toward subject-matter expertise.

Develop and enhance custom software and integration solutions using TIBCO BusinessWorks. Design scalable architectures, implement REST/SOA integrations, transform JSON/XML, and integrate Kafka, SFTP, SMTP, and authentication mechanisms. Troubleshoot complex integration issues, optimize performance, and follow Agile and CI/CD practices. Additional responsibilities may include API gateway, managed file transfer, GitLab, Helm, Argo CD, GitOps, and PostgreSQL integration.

Develop and enhance custom software applications using Node.js, modern frameworks, asynchronous programming, RESTful APIs, and SQL or NoSQL databases. Lead technical decisions, collaborate across teams, establish development best practices, solve complex problems, coordinate stakeholders, and mentor junior engineers while delivering scalable, maintainable solutions aligned with business needs.

Develop and enhance custom software solutions using modern frameworks and agile practices. Design and execute comprehensive test plans and test cases, coordinate testing strategies across teams, track defects, and ensure software quality. Serve as a subject matter expert, lead team decisions, improve processes, mentor junior staff, and collaborate with multiple teams to resolve technical issues and deliver scalable solutions.

Develop and enhance custom software applications using Node.js, modern frameworks, and agile practices. Design RESTful APIs, integrate SQL and NoSQL databases, write maintainable code, and deliver scalable solutions. Serve as a subject matter expert, guide team decisions, coordinate cross-functional stakeholders, implement best practices, solve complex problems, and mentor junior engineers.

Develop and enhance custom software components using Microsoft Azure Analytics Services, modern frameworks, and agile practices. Design scalable solutions, integrate cloud-based analytics, perform testing and optimization, troubleshoot technical issues, document development processes, and collaborate with cross-functional teams. The role also involves contributing to technical discussions, independently solving problems, and supporting junior team members.

Develop and enhance scalable enterprise software across frontend and backend systems. Build full-stack applications using Java and modern frameworks, integrate APIs and AI services, implement RAG-based features, and use AI-assisted coding tools for rapid development, testing, debugging, and documentation. Collaborate with architects and AI specialists while following SDLC, agile, quality, cloud-native, and CI/CD practices.

Develop custom Java full-stack software and agentic AI applications. Build LLM agents, prompts, RAG pipelines, vector search services, API integrations, evaluation loops, testing, CI/CD pipelines, observability, and safety guardrails. Prototype rapidly, integrate enterprise systems and data sources, and communicate technical trade-offs with stakeholders. The role requires strong software engineering fundamentals, hands-on AI development experience, a portfolio of AI projects, and at least 7.5 years of Java full-stack development experience.

Develop scalable enterprise full-stack applications using Java and modern frameworks. Build front-end and back-end components, integrate APIs and AI services, implement RAG-based features, and use AI-assisted development tools for coding, testing, debugging, and documentation. Collaborate with architects and AI specialists while following software engineering, SDLC, agile, quality, and CI/CD practices.

Develop and enhance scalable full-stack enterprise applications using Java and modern frameworks. Build front-end and back-end components, integrate AI services and APIs, implement RAG features, and use AI-assisted development tools for coding, testing, debugging, and documentation. Collaborate with architects and AI specialists while applying enterprise engineering, SDLC, agile, cloud-native, and CI/CD best practices.

Develop and enhance scalable full-stack enterprise applications using Java and modern front-end frameworks. Use AgentAI copilots and LLM-based tools for coding, debugging, testing, documentation, and integration. Build AI-enabled features using pre-built services, APIs, and RAG where applicable. Collaborate with architects and AI specialists while applying SDLC, agile, cloud-native, CI/CD, and software engineering best practices.

Develop and enhance scalable full-stack enterprise applications using Java and modern front-end frameworks. Build integrated front-end and back-end components, incorporate AI services and RAG features, and use AgentAI copilots and LLM-based tools for coding, debugging, testing, and documentation. Collaborate with architects and AI specialists while applying software engineering, SDLC, agile, cloud-native, API, and CI/CD practices.

Develop and enhance scalable full-stack enterprise applications using Java and modern frameworks. Build front-end and back-end components, integrate APIs and pre-built AI services, implement RAG features, and use AgentAI copilots and LLM-based tools for coding, testing, debugging, and documentation. Collaborate with architects and AI specialists while applying software development lifecycle, agile, cloud-native, and CI/CD practices.

Develop and enhance scalable full-stack enterprise applications using Java and modern frameworks. Build frontend and backend components, integrate APIs and AI services, implement RAG features, and use AI-assisted development tools for coding, testing, debugging, and documentation. Collaborate with architects and AI specialists while following enterprise SDLC, agile practices, cloud-native development, and CI/CD best practices.

Develop scalable full-stack enterprise applications using Java and modern frameworks. Build front-end and back-end components, integrate APIs and AI services, implement RAG-based features, and use AI-assisted coding tools for development, testing, debugging, and documentation. Collaborate with architects and AI specialists while following SDLC, agile, quality, and cloud-native engineering practices.

Develop scalable full-stack enterprise applications using Java and modern frontend frameworks. Build, integrate, test, debug, and document backend and frontend components, APIs, databases, cloud-native services, and AI-powered features. Use AgentAI copilots and LLM-based tools to accelerate development while maintaining engineering quality. Collaborate with architects and AI specialists on application integration and delivery. Requires at least 7.5 years of Java full-stack development experience and 15 years of full-time education.