Top Tech Jobs & Startup Jobs in India

Lead design, build, and deploy of AI/ML solutions for customers; contribute code across Atlassian products; architect integrations and microservices; ensure compliance and monitoring; mentor engineers; communicate technical strategy to stakeholders and align solutions to business outcomes.

Lead design, implementation, and production deployment of AI/ML solutions across Atlassian products. Work directly with customers, architect integrations, ensure compliance (GDPR), mentor engineers, and align technical solutions to business outcomes.

Design, build, deploy, and maintain resilient, scalable backend services and APIs for payments. Lead complex projects, ensure quality with automated tests, monitor rollouts, collaborate with product and UX, and mentor other engineers.

Lead presales technical engagements across India West: design and size enterprise video surveillance solutions, run demos/PoCs, prepare proposals and RFP responses, enable partners, mentor solution engineers, collaborate cross-functionally, and manage documentation and deployments.

Design and implement secure applications and DevSecOps pipelines on Azure. Perform secure coding, code reviews, vulnerability assessments, threat modeling, IAM implementation, monitoring, and mentor junior engineers while collaborating with DevOps and security teams.

Lead review and finalization of US GAAP accounting work for clients, coach and manage staff, prepare and review complex financial statements, handle multi-entity/intercompany accounting, deferred revenue, KPIs, and ensure quality and documentation.

Serve as primary escalation point for priority customers, manage high-stakes support issues end-to-end, coordinate across Onboarding, Risk, Compliance and Operations, optimise systems and workflows, analyse operational data to remove bottlenecks and improve customer experience and revenue outcomes.

The Systems Management Consultant manages the Dynatrace APM platform, including installation, performance monitoring, and scripting for application performance testing. Responsibilities include optimizing tools, troubleshooting, integrating with CI/CD, and managing compliance and documentation.

Provide senior-level operational support for cloud security platforms (SWG, CASB, DLP, Zscaler, Microsoft 365). Perform high-volume alert triage, incident investigation, root cause analysis, policy validation, traffic steering/PAC troubleshooting, and cross-functional incident response. Mentor peers, contribute to security governance, and support on-call rotations to maintain availability and data protection in a 24/7 enterprise environment.

Lead design, develop, and maintain full-stack, cloud-native applications and APIs. Integrate and deploy AI/ML models, manage IaC (Terraform), optimize cloud infrastructure, ensure security and CI/CD, mentor junior engineers, and support incident response and on-call duties.

Design, develop, and maintain scalable .NET-based SaaS inventory management modules. Work across backend, database, and occasional frontend layers, implement APIs, optimize SQL, perform code reviews, mentor junior engineers, and improve performance, reliability, and test coverage in an agile environment.

Manage and maintain enterprise security platforms (NAC, PKI, Proxy, endpoint protection), monitor and resolve security incidents, perform RCA and system upgrades, improve processes and automation, produce operational documentation and dashboards, mentor Level 1 engineers, and ensure compliance with security policies and SLAs.

Design and deliver production-grade GenAI systems and agents for Telecom OSS/BSS: build RAG pipelines, train and optimize LLM/SLM models, deploy scalable Python services/APIs, and integrate cloud-native ML solutions to drive automation, intelligence, and decisioning at scale.

The Senior Engineer will verify ASIC designs, implement UVM test environments, develop and run test cases, and collaborate across teams to enhance verification methodologies.

Lead and scale GitLab's Bengaluru support hub: design org structure, hire and develop managers and engineers, own SLAs and KPIs, implement escalation and shift models, integrate AI tooling, and coordinate global support operations across regions.

Design, deliver, and operationalize LLM- and generative AI-driven platform services. Build scalable model-serving, orchestration, MLOps, observability, data lineage, and evaluation frameworks to productionize multi-step automated workflows.