This role is for one of Weekday’s clients
Salary range: Rs 5000000 - Rs 10000000 (ie INR 50 - 100 LPA)
Min Experience: 11+ years
Location: Bengaluru, Karnataka, India
JobType: full-time
We are seeking a highly experienced Lead DevOps/Platform (Native AI) Engineer to join the technology division of our organization. This role is responsible for the reliability, security, scalability, and engineering excellence of our cloud-native technology platform leveraging various platforms, systems and tooling.
You will lead infrastructure design, zero-touch deployment programs, observability and incident response, policy-as-code governance, and developer self-service — while advancing next-generation platform capabilities including governed automation, secure tool integrations for operational workflows, retrieval-augmented operational context, and production-grade evaluation and guardrails for emerging Agentic AI platform use cases.
The ideal candidate blends deep platform engineering knowledge with industry best practices, cutting-edge technology trends plus hands-on experience in one or few of latest AI capabilities. This is a technical leadership role: approximately 60% technical ownership, 30% stakeholder management, and 10% people leadership (when applicable).
Requirements
Responsibilities
Design, build, and operate cloud-native infrastructure at scale: load balancers, containers, serverless, managed and self-hosted databases, caching, and supporting platform services.
Lead Infrastructure-as-Code programs — modular repositories, environment promotion, state strategy, and safe migration from monolithic to per-service or contract-based configurations.
Support CI/CD and release engineering including progressive delivery, rollback safety, and reliability gates tied to SLO and error-budget signals.
Automate operational workflows with code and event-driven orchestration platforms — emphasizing accuracy, repeatability, compliance, and security.
Partner on multi-cloud platform concerns: identity, edge/CDN, secrets management, and mobile telemetry pipelines.
Serve as escalation lead for P0/P1 incidents within assigned product POD scope; drive MTTI/MTTR improvement using severity- and complexity-aware measurement.
Advance intelligent incident response: contextual alert enrichment, retrieval over runbooks and operational context, schema-validated root-cause analysis, and approval-gated remediation.
Own on-call routing hygiene, on-call health, post-mortem closure, and permanent-fix tracking for assigned products.
Contribute to product reliability outcomes — feature breakage detection, synthetics, latency SLOs, and observability accuracy.
Implement enterprise observability standards: distributed tracing, structured logging, required service tags, and SLO-based alerting.
Build operational telemetry for automated and multi-step platform workflows — per-run correlation, failure taxonomy, and anomaly review.
Operate secure agent-tool connectivity (e.g., MCP-class protocols) for standardized integration with enterprise APIs and operational systems.
Support retrieval-augmented architectures over operational corpora with evaluation harnesses and retrieval drift detection.
Security, Compliance & Governance
Enforce security-by-default: just-in-time access, IAM least privilege, secrets management, and edge/WAF protections.
Implement policy-as-code at pull-request and deploy stages; drive configuration drift detection and closure SLAs.
Define permissions, guardrails, and autonomy zones for automated systems — with kill switches and immutable audit logs.
Stand up and operate an LLM/AI gateway for policy enforcement, safety scanning, cost attribution, and reliability-gated deployments where applicable.
Developer Experience & Platform Product Ownership
Treat the platform as a product: self-service catalog, environment stability, and toil reduction.
Lead assigned platform engineering initiatives end-to-end — milestones, KPI measurement, stakeholder demos,…