Top Tech Jobs & Startup Jobs in Bangalore

Plan, design, and execute end-to-end migrations of applications, data, and infrastructure to AWS. Assess cloud readiness, define migration strategies (7Rs), design scalable secure AWS architectures, implement IaC and CI/CD, monitor and optimize performance and cost, enforce security/compliance, and collaborate with cross-functional teams to support migration projects.

As a Software Development Manager, you will lead a team of engineers to enhance customer experience through scalable system architecture and manage software development processes effectively.

Support indirect tax compliance by gathering and reconciling data, preparing tax filings and workpapers, creating tax payment requests, assisting month-end close (journal entries, reconciliations), responding to audit requests, researching tax regulations, and supporting process documentation and improvements in a global, collaborative environment.

Designs, develops, and supports full-stack applications for customer identity and access management. Builds React frontends and Node.js APIs, integrates Okta and enterprise identity standards, deploys cloud-native solutions on AWS, and maintains CI/CD pipelines and infrastructure as code. The role also includes production monitoring, troubleshooting, testing, performance optimization, Agile collaboration, architectural improvements, mentoring, and ownership across the application lifecycle.

Design and execute test strategies for AI/ML solutions including functional, integration, regression, API, and end-to-end testing. Validate model outputs, performance metrics, data quality, pipelines, feature engineering, and detect bias, drift, or degradation. Automate tests using Python and PyTest and test APIs with Postman.

The DMU Analyst will optimize engineering operations, support change management, document customer requirements, and collaborate with multi-functional teams. Strong experience in DMU creation and manufacturing processes is required.

Partner with engineering to embed security into the SDLC: perform threat modeling, design and code reviews, build reusable security components and automation, evaluate and implement security tooling (SAST/DAST/SCA/container scanners), mentor engineers, and influence secure architecture across cloud-native applications.

Design, build and mentor teams to deliver large-scale microservice systems using Java and Azure. Advocate TDD, CI/CD, DevSecOps and clean code practices while collaborating with cross-functional teams from ideation through deployment.

Design, build, and maintain internal platforms and microservices; collaborate with product, QA, and cross-functional teams; perform code reviews; translate business requirements into software designs; drive projects through full development lifecycle; ensure quality, timely delivery, and adherence to workflow and CI/CD practices.

As a Senior Software Engineer for AI platforms, you will lead architectural direction, build scalable systems, and influence cross-organization technical alignment in generative AI applications.