Top Tech Jobs & Startup Jobs in India

Perform product and business analytics: translate open-ended questions into hypotheses, analyze funnels and retention, run experiments, build dashboards and pipelines, collaborate with engineering and product, and deliver AI-enabled analytics to drive measurable business outcomes.

Build and operate the control plane for DigitalOcean's DBaaS: design and implement scalable distributed systems, provision/scale/backup database clusters, create telemetry and logging, orchestrate complex workflows, automate operational playbooks, and stay current with cloud-native and DBaaS trends.

Build and operate the control plane for a cloud DBaaS platform: develop scalable distributed systems, provision/scale/backup database clusters, create telemetry/logging and orchestration workflows, automate maintenance/playbooks, and stay current with cloud-native, Kubernetes, and control-plane patterns.

Lead architecture, design, and implementation of the MAPP compliance platform on Appian. Define solution, data, security, and infrastructure architecture; ensure scalability, reuse, and enterprise alignment; guide integrations (REST), AWS cloud deployments, UNIX/platform operations; mentor developers and coordinate with Enterprise Architecture, Security, and Infrastructure teams.

Build and maintain enterprise-grade integrations (REST, OAuth, webhooks), lead agentic/AI-assisted development workflows, design harnesses and guardrails for agents, debug cross-service issues, collaborate with Customer Success/Support/Sales, mentor engineers, contribute to shared SDKs/CI/observability, and define reliability metrics for integrations.

Lead and coach a team of Safety Event Review agents to ensure high-quality, timely review of AI-detected safety events. Manage schedules, monitor queue health and SLAs, perform QA audits, handle escalations, and drive agent development. Hire and develop a high-performing, inclusive team while supporting shift coverage including after-hours or weekends as needed.

Provide technical product support for enterprise software: investigate and resolve application, database, data-processing, reporting, batch-job and performance issues. Analyze logs, Java stack traces, SQL and execution plans; reproduce issues; coordinate with Product Engineering, Cloud Ops, DBAs and Customer Success; deliver updates, workarounds, RCA, and documentation. Will work EMEA support hours and participate in on-call rotations.

Own cloud infrastructure automation, CI/CD with GitHub Actions, and container orchestration on Kubernetes. Build IaC with Terraform, create Docker images and Helm charts, implement observability, script automation in Python/Bash, participate in incident response, and document runbooks.

Lead strategy and execution for AI-first product engineering: build and scale cloud-native conversational AI and enterprise SaaS platforms, grow global engineering leadership, partner with Product/Data Science, and improve delivery velocity, quality, and operational excellence.

Lead end-to-end product development for AI features in an observability platform. Engage customers to define problems, set strategy and roadmap, collaborate with engineering/design/applied AI, and ship AI capabilities (agents, workflows, intelligent experiences). Measure adoption, usage, and business impact while handling discovery, delivery, and adoption.

Support the full deal cycle: manage pricing and approval requests, create quotes, enter and analyze contracts in PeopleSoft, maintain orders and invoices, resolve contract/data issues, and coordinate with Pricing, Revenue, Legal, and Sales teams to ensure compliance and accurate order fulfillment.