Lead Site Reliability Engineer or Platform Engineer

Weekday (YC W21); Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Weekday is seeking a Lead DevOps/Platform Engineer (Native AI) to own the reliability, security, and scalability of our cloud-native platform. You will drive IaC, observability, incident response, and governance while enabling self-service tools for engineering teams.

The role blends deep platform engineering with leadership: approximately 60% technical ownership, 30% stakeholder management, and 10% people leadership. Strong experience with AI-enabled platforms is a plus.

Qualifications

• 10+ years as a DevOps/Platform Engineer, SRE, or Infra Engineer.
• Production ownership of large distributed systems (container-based).
• Strong troubleshooting and analytical skills; proactive issue detection.

Responsibilities

• Design, build, and operate cloud-native infrastructure at scale.
• Lead IaC programs and safe migrations across services.
• Support CI/CD, progressive delivery, and reliability gates.

Skills

Terraform

AWS

Agentic AI

Education

Bachelor's or Master's degree in Computer Science/Engineering

Tools

Kubernetes

Docker

Python

Job description

This role is for one of our clients

Industry: Software Development

Seniority level: Mid-Senior level

Min Experience: 11+ years

Location: Bengaluru, Karnataka, India

JobType: full-time

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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).

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, documentation, and knowledge transfer
• Serve as primary liaison to assigned Product PODs: sprint and release planning, SLA negotiation, status reporting, and platform syncs
• Develop runbooks, standards, and machine- and human-readable operational documentation

Advanced Platform Capabilities

• Design and operationalize multi-step automated workflows with explicit human-approval nodes, tool registries, and evaluation-in-CI gates
• Build platform APIs that wrap existing CI/CD and IaC operations — enabling safe automation without rip-and-replace
• Provision isolated execution environments for automated runs: no standing credentials, default-deny egress, per-run isolation, mandatory evaluation results
• Implement model routing and circuit breakers for cost efficiency and provider resilience where LLM-backed workflows are in scope
• Promote a governed platform delivery lifecycle with measurable exit criteria at each stage

Leadership & Collaboration

• Mentor engineers on incident command, IaC standards, observability hygiene, and safe adoption of platform automation
• Drive cross-functional alignment with Security and product development using innovative delivery practices and data-driven KPI reviews
• Contribute to hiring, onboarding, and knowledge-culture initiatives
• Validate system integrity, infrastructure designs, application deployments, and operational processes; recommend improvements

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Software Engineering, or related field (or equivalent experience)
• 10+ years as a DevOps Engineer, Platform Engineer, SRE, or Infrastructure Engineer, with meaningful software or infrastructure development experience
• Production ownership of large, business-critical distributed systems (preferably container-based microservices)
• Strong troubleshooting and analytical skills — ability to identify issues before they become client-impacting problems
• Strong communication skills — explain technical protocols, processes, and decisions to technical and non-technical stakeholders
• Prior technical lead or Pod Lead experience supporting multiple product teams
• Led platform migrations (IaC refactor, CI/CD modernization, observability uplift) with minimal production disruption
• Built production automated workflows with human-in-the-loop gates — not proof-of-concept only
• Demonstrated ability to stay current with industry trends, IT operations best practices, and emerging platform technologies

About The Company

Sequoia: 25+ years solving workforce challenges for global orgs. We blend stability with heavy investment in AI & modern tech. Bangalore R&D drives core product innovation—build with ownership, modern stacks & global impact. HQ: San Mateo, CA. Teams across US, Mexico & India.

Must-have Skills

Terraform, AWS, agentic ai

Good-to-have Skills

Kubernetes, docker, pyhton