Top Tech Jobs & Startup Jobs in Bangalore

Leads enterprise architecture for scalable, multi-tenant SaaS systems and cloud-native platforms. Owns AWS architecture, distributed data pipelines, cost optimization, security, governance, and architectural standards. Drives GenAI and machine learning adoption across the software development lifecycle, builds self-service capabilities, guides engineering teams, conducts prototypes, and leads architecture reviews. Requires deep hands-on cloud, distributed systems, coding, infrastructure automation, AI/ML, and strategic technology leadership experience.

Define SAP BTP and CPI integration architecture for banking payments and supplier finance. Design and govern iFlows, SFTP file transfers, PSR ingestion, API connectivity, exception handling, security, monitoring, retries, and alerting. Establish BTP tenant, landscape, and connectivity standards; lead technical reviews; and collaborate with ABAP and Fiori teams on end-to-end data flows. The role requires independent work on complex systems, strong planning, communication, decision-making, and stakeholder influence.

Build scalable, reliable backend systems for energy-management software. Responsibilities include solving ambiguous engineering problems, designing APIs, services, workflows, data models, databases, and distributed event-driven systems; optimizing SQL and system performance; and owning features from product decomposition through production. The role requires strong software engineering, system design, problem-solving, and database skills, with preferred experience in Java, Python, or Node.js.

Manages material master data governance through SAP MDG, reviewing and approving CRUD requests, enforcing data standards, monitoring quality metrics, resolving data issues, and cataloguing and standardizing spares data. Collaborates with business and functional stakeholders to resolve escalations and maintain accurate, complete, consistent, and well-structured material records.

Support the design and execution of an early revenue-stage AI and DeepTech startup program. Responsibilities include managing funding-partner relationships, coordinating operations and stakeholders, tracking budgets and expenses, preparing proposals and reports, driving outreach, supporting portfolio startups, organizing workshops and cohort activities, and researching emerging technology trends.

Develop and maintain business-critical full-stack applications using TypeScript, JavaScript, and React. Own features from design through deployment and production support, troubleshoot defects, write automated tests, participate in code reviews, monitor system reliability, and collaborate with Product, DevOps, Support, and Operations teams. The role also uses AI-assisted development tools, contributes to documentation and technical debt reduction, and supports scalable, secure software delivery.

Designs, develops, controls, and improves aerospace manufacturing and assembly processes from new product introduction through production and sustainment. Interprets engineering drawings and customer specifications, develops APQP documentation, supports configuration changes and SAP routings, and collaborates with quality, production, supply chain, and maintenance teams. Requires aerospace machining and assembly experience, GD&T knowledge, CAD proficiency, and familiarity with AS9100 and NADCAP standards.

Process and audit biweekly, multistate U.S. payroll, including timecards, tax setup, deductions, benefits, equity compensation, employee changes, reconciliations, and year-end activities. Maintain accurate confidential records, ensure federal and state compliance, support payroll system implementations, address employee payroll questions, and collaborate with Finance, HR, Tax, and Legal. The role also supports the Payroll Manager and requires strong ADP Workforce Now expertise.

Leads operational excellence across India mobility operations by driving Lean and Six Sigma process improvements, standardization, governance, performance measurement, training, and change adoption. Assesses automation opportunities, develops business cases and requirements, coordinates cross-functional initiatives, tracks benefits, and promotes proven practices globally. The role partners with operational and functional stakeholders to simplify workflows, improve efficiency, and enhance service delivery.

Leads the architecture, development, deployment, and optimization of production AI systems. Translates enterprise problems into mathematical, statistical, and agentic models; designs deep learning solutions; oversees model lifecycles; optimizes performance through distributed training, pruning, quantization, and accelerator techniques; establishes AI architecture standards; mentors technical teams; and evaluates emerging frameworks, tools, and cloud platforms.