Top Tech Jobs & Startup Jobs in Bangalore

Manage the planning, architecture, coordination, and delivery of Veeam professional services engagements. Responsibilities include solution assessment and design, project planning, implementation estimation, configuration analysis, documentation, customer communication, knowledge transfer, post-installation support, and identifying additional solution needs. The role requires broad expertise in data protection, virtualization, storage, networking, cloud technologies, operating systems, business continuity, and enterprise applications, with overnight travel required.

Designs and maintains integrations between plant-floor automation, MES, ERP, historians, and enterprise platforms. Configures OPC-UA systems, extracts production data, manages historians, troubleshoots APIs and SQL queries, supports MES implementations, and secures IT/OT network connections. The role also develops monitoring dashboards, documents plant integrations, mentors plant teams, and contributes to Industry 4.0, IIoT, predictive analytics, and smart-factory initiatives.

Reviews Japanese and English customer documentation for KYC compliance, translates documents, approves or escalates applications, conducts periodic customer reviews, identifies discrepancies and unusual patterns, supports investigations, and maintains accurate regulatory records. The role requires strong Japanese and English skills, attention to detail, computer proficiency, and collaboration on process improvements. Full training in KYC, AML standards, and internal procedures is provided.

Own technical accounting and controllership across inventory, logistics costs, leases, revenue, investments, accruals, reconciliations, and a European subsidiary. Manage month-end close, audit-ready documentation, forecast-to-actual analysis, and cross-functional accounting issues. Build automated workflows and AI agents using NetSuite, Coupa, Numeric, Brex, Looker, and Claude Enterprise, while presenting results and risks to senior stakeholders.

Drive revenue growth for Branch’s Premium Solutions across India by developing the market, building sales pipelines, running campaigns, presenting product demonstrations, and cultivating relationships with major customers. Collaborate with Marketing, Product, and Pre-Sales, localize sales materials, provide product feedback, represent Branch at regional events, and travel frequently as needed.

Own the product strategy and execution for observability tools that make AI agent behavior visible, testable, and reviewable. Lead simulation-based scenario creation, evaluation surfaces, mistake monitoring, structured data evaluations, configuration previewing, and production conversation auditing. Partner with Research, Engineering, Sales, Customer Success, and customers to improve AI quality, trust, and iteration speed. Define quality metrics, review workflows, categorization systems, and UX guardrails for reliable agent evaluation.

Lead aerospace equipment engineering for hardware design changes affecting avionics computers and cockpit systems. Perform change impact analysis, simulations, verification, validation, qualification, troubleshooting, and bench testing. Prepare certification and customer-approval documentation, coordinate electronics, packaging, testing, configuration, production, and project stakeholders, and support airworthiness compliance under DO-160, DO-254, ARP4754, and ARP4761 standards.

Provide technical support to clients and staff through in-person, phone, chat, and remote channels. Troubleshoot Active Directory, Microsoft applications, operating systems, and basic networking issues; manage tickets, document processes, maintain service desk records, follow incident, problem, and change management procedures, meet SLAs, and coordinate escalations. The role requires rotating 24/7 shifts, including weekends, strong communication, customer service, and collaboration skills.

Build and deploy full-stack AI/ML and agentic applications on the Cloudera platform, embedding with enterprise customers to move use cases from prototype to production. Advise leaders on AI roadmaps, architecture, and deployment; standardize successful solutions into reusable architectures and playbooks; mentor teams; and relay customer feedback to Product. The role requires strong software, data engineering, applied AI/ML, and production deployment expertise.

Leads enterprise Product Lifecycle Management strategy, operating model, governance, architecture, and transformation roadmaps. Partners with R&D, Supply Chain, Quality, Manufacturing, IT, and data teams to translate product and formulation changes into requirements and implementation outcomes. Governs PLM and MDM roadmaps, data architecture, business process transformation, investment prioritization, organizational change, and value realization. Provides executive influence, thought leadership, and mentoring while evaluating AI, automation, analytics, and process-mining opportunities.