Top Tech Jobs & Startup Jobs in Delhi

Leads quality assurance and testing for asset management, trade, and order management systems. Performs smoke, regression, integration, and user acceptance testing; gathers requirements; creates test plans; manages defects and test reporting; coordinates testing activities; and leads teams and deliverables. Requires strong front- or middle-office asset management experience, knowledge of multiple financial instruments, and familiarity with Charles River or similar order management systems.

Leads complex BPO presales opportunities across geographies, owning the lead-to-closure cycle from RFx responses and proactive proposals through pricing, due diligence, solution presentations, and client visits. Coordinates sales, solutions, operations, finance, technology, and transition stakeholders to deliver competitive proposals. Develops banking-focused go-to-market offerings, thought leadership, and market partnerships while mentoring junior team members and managing senior client relationships.

Lead BPO presales and solutions for banking/financial services clients: respond to RFx/bid requests, create proactive proposals and GTM decks, perform due diligence and commercial modeling, coordinate cross-functional teams, present solutions, host client visits, and support onsite account teams with domestic and global travel.

Leads DevOps engineering as an individual contributor, developing multi-stage CI/CD pipelines, managing source control and repositories, containerizing applications with Docker, operating production Azure Kubernetes Service clusters, provisioning Azure infrastructure through infrastructure-as-code, and automating operational tasks with Python, shell, or PowerShell scripting.

Lead DevOps engineering as an individual contributor, designing multi-stage CI/CD pipelines, managing source-control repositories, and deploying containerized applications. Maintain and troubleshoot production Azure Kubernetes Service clusters, provision Azure infrastructure through infrastructure-as-code tools, and automate operational tasks using Python, shell, or PowerShell scripting. Apply current AI tools to DevOps workflows.

Performs business and functional analysis for travel and airline applications, translating customer needs into user stories, business requirements, process flows, and gap documents. Collaborates with customers, product owners, development, testing, and Scrum teams; facilitates workshops, application walkthroughs, demos, and requirements reviews. Analyzes data and reports, clarifies scope, decomposes requirements, supports business mapping, tracks action items, and delivers knowledge-transfer sessions.

Build and maintain data pipelines using dbt, Python, and Airflow; develop reliable data models and analytics datasets; create Power BI dashboards, semantic models, and DAX measures; investigate and validate data; troubleshoot issues across the data lifecycle; translate business needs into reporting solutions; and collaborate with business, analytics, and engineering teams on production-ready solutions.

Design and implement enterprise-scale data platforms, strategies, and modern cloud data architectures. Define architecture standards, build scalable and secure data platforms, and architect end-to-end solutions spanning data ingestion, transformation, storage, governance, analytics, and consumption. The role requires strong hands-on expertise with dbt and Snowflake, along with broad knowledge of the modern data ecosystem.

Lead manual and automated QA across UI, APIs, and backend systems. Create test scenarios, execute functional and integration testing, develop Playwright automation using Python/PyTest or TypeScript, validate databases with SQL, manage defects, support CI/CD, participate in Agile ceremonies, and contribute to release sign-off. Use AI tools to improve test generation, scripting, analysis, and documentation.

Lead the design and development of scalable Microsoft Fabric data solutions, including end-to-end pipelines, Spark notebooks, ETL/ELT processes, Salesforce ingestion, data modeling, semantic models, and BI reporting. Establish config-driven frameworks, ensure CI/CD and documentation standards, and own deliverables with minimal supervision.