Top Tech Jobs & Startup Jobs

Build and maintain ACL services, integration adapters, and API layers using Kotlin or Java. Transform data between legacy formats and canonical models, develop REST APIs, implement JSON/XML schema validation, and work with messaging concepts. Collaborate through Git pull requests and CI/CD pipelines, write unit and integration tests, and learn Apache Camel and enterprise integration patterns.

Create graphics and edit videos for social media, campaigns, events, internal branding, testimonials, product explainers, and promotional content. Use Figma, Canva, and Adobe Creative Suite to produce engaging visual assets while maintaining brand consistency. Collaborate with marketing stakeholders, manage multiple projects, and meet deadlines. The role is an in-office internship in Bengaluru lasting three to six months.

Lead end-to-end SAP integration initiatives using CPI, PI, PO, and Integration Suite. Responsibilities include migration from PI to PO and PO to CPI, configuration, graphical and XSLT mapping, adapter-based integrations, cloud-to-cloud and on-premise connectivity, requirements gathering, testing, go-live support, defect resolution, and customer or third-party coordination.

Lead pre-sales AI and Azure transformation pursuits by identifying high-value use cases, translating business needs into end-to-end Microsoft AI architectures, shaping POCs, and coordinating delivery specialists. The role develops reference patterns across Azure, Microsoft 365, Copilot, and Power Platform; guides technical discovery; estimates effort and risks; and creates executive-ready transformation narratives, reusable architecture materials, demos, and decision frameworks.

Lead end-to-end development of high-performance AI-driven web applications using React, Python FastAPI, and Rust. Build responsive interfaces, scalable hybrid backend services, semantic search, summarization, and agentic workflows. Integrate NLP and generative AI models, optimize processing with Rust, and work with PostgreSQL and Redis. Drive architecture, promote type safety, create streaming AI user experiences, and mentor junior engineers.

Lead large-scale government and public-sector digital transformation programs from strategy through delivery. Establish governance, PMO practices, roadmaps, reporting, and risk controls while managing budgets, milestones, dependencies, and multiple workstreams. Build relationships with senior government and client stakeholders, lead executive governance forums, manage vendors and implementation partners, and drive technology adoption and organizational change. Mentor cross-functional consulting, technology, product, and operations teams and support continuous delivery improvement.

Design and build scalable enterprise AI services and solution architectures. Establish AI architecture standards, principles, and best practices while addressing security, privacy, compliance, and ethical requirements. Lead AI roadmap planning, translate business needs into technical solutions, and oversee data pipelines, model development, and deployment. Conduct light coding and technical reviews, and advise leadership and delivery teams on AI strategy and execution.

Lead backend architecture and end-to-end technology delivery while designing and building scalable Java or Python microservices. Author HLD and LLD documentation, optimize high-throughput systems, define observability standards, establish SLOs and SLIs, resolve incidents, conduct root-cause analysis, and mentor backend engineers. The role requires production ownership, distributed systems expertise, event-driven architecture, cloud platforms, containerization, and experience delivering reliable services at scale.

Design and architect large-scale Azure data lakehouse infrastructure and ETL/ELT pipelines. Optimize Databricks and Data Lake costs, troubleshoot production failures, improve data quality and reliability, and implement governance and security best practices. Collaborate with and mentor global data scientists, analysts, and operations teams while delivering secure, automated solutions using Azure, Spark, Python, and Scala.

Design, develop, and deploy scalable Java microservices with Spring Boot on Azure. Build REST APIs, integrate Kafka messaging, manage Docker and Kubernetes deployments, and work with SQL and NoSQL databases. Write unit and API automation tests using JUnit and Cucumber, support CI/CD and DevOps processes, participate in code reviews, and collaborate with QA and engineering teams on reliable software delivery.