Top Tech Jobs & Startup Jobs in India

Leads the HR function by developing people strategies, policies, compliance practices, talent acquisition, workforce planning, employee engagement, performance management, succession planning, compensation, benefits, employee relations, and HR operations. Partners with senior leadership on organizational development and workplace culture while managing and mentoring the HR team and monitoring HR metrics.

Tests iGaming software and live game events through scripted and ad hoc testing. Identifies, reproduces, documents, and tracks defects in JIRA, verifies functionality against design, uses debugging and administrative tools, and prepares status reports. The role collaborates with global stakeholders and development, design, and art teams while maintaining test cases, documentation, and issue records.

Administer, upgrade, troubleshoot, monitor, and optimize large-scale Red Hat OpenShift platforms. Build infrastructure automation with Terraform, Ansible, and Jenkins; implement GitOps deployments with Argo CD; develop Helm charts and CI/CD pipelines; support cloud migration, virtualization, high availability, security, networking, APIs, and enterprise integrations. The role requires advanced scripting, platform engineering, infrastructure-as-code, certificate and identity management, and collaboration across technical teams.

Configure and integrate Guidewire BillingCenter for P&C insurance customers. Responsibilities include workflows, rules, user interfaces, product models, enterprise integrations, data migration, technical documentation, testing, defect resolution, and Agile delivery. The role collaborates with architects, analysts, developers, QA, and global Professional Services teams to deliver cloud modernization projects and improve implementation quality through automation and responsible AI use.

Associate Manager responsible for trade compliance activities within a global life sciences organization. The provided description contains no specific duties, qualifications, technologies, travel requirements, salary information, or clearance requirements.

The QA Engineer tests complex Salesforce Sales Cloud solutions throughout the Agile SDLC. Responsibilities include requirements analysis, test planning, execution across desktop and mobile environments, integration testing, defect management, retesting, reporting, estimation, and continuous QA process improvement. The role requires collaboration with Agile teams and proficiency in JIRA, Confluence, and Zephyr.

Supports digital content growth across social media, video, website updates, and customer journey communications. Creates carousels, infographics, Reels, scripts, storyboards, graphics, and short-form videos; may appear on camera. Helps adapt investment-related information into clear content and supports publishing, optimization, customer acquisition, activation, engagement, reactivation, and conversion initiatives.

Leads the design, automation, and operation of secure, scalable cloud-native infrastructure. Builds infrastructure-as-code platforms and CI/CD pipelines, manages AWS, Azure, or GCP services, optimizes costs, and implements observability, governance, vulnerability scanning, and security controls. Collaborates with development and architecture teams on reliable cloud solutions and supports data and AI-driven analytics environments.

Build, operate, and improve reliable production infrastructure across AWS and Kubernetes. Automate infrastructure with Terraform, develop CI/CD and GitOps workflows, and use Python, Go, or scripting to reduce operational toil. Monitor systems through metrics, logs, traces, and alerts; participate in on-call, incident response, root-cause analysis, and remediation. Partner with application, platform, and security teams to improve scalability, reliability, SLIs, SLOs, and operational efficiency.

Lead the architecture, development, and strategic roadmap for an agentic AI platform serving supply chain management. Build AI-powered solutions for forecasting, planning, replenishment, inventory, and master data management. Direct the full software engineering lifecycle, lead approximately 20 AI and software engineers, establish scalable engineering practices, and collaborate with product, data science, and customer success teams to deliver enterprise SaaS products.