Weekday AI

Proactive software engineer recruitment via referrals

Lead Site Reliability Engineer or Platform Engineer

Platform Engineering +1Confirmed live in the last 24 hours

Full-timeBengaluru, Karnataka, India₹5M - ₹10MIn-person

About the Job

Requirements

A bachelor's or master's degree in Computer Science, Engineering, Software Engineering, or a related field, or equivalent experience.
At least 10 years as a DevOps Engineer, Platform Engineer, Site Reliability Engineer, or Infrastructure Engineer, including meaningful software or infrastructure development experience.
Production ownership of large, business-critical distributed systems, preferably container-based microservices.
Strong troubleshooting and analytical skills to identify issues before they affect clients.
Ability to explain technical protocols, processes, and decisions to technical and non-technical stakeholders.
Prior technical lead or Pod Lead experience supporting multiple product teams.
Experience leading platform migrations, including infrastructure-as-code refactoring, continuous integration and continuous delivery modernization, and observability improvements with minimal production disruption.
Experience building production automated workflows with human-in-the-loop gates, not only proofs of concept.
Ability to stay current with industry trends, IT operations best practices, and emerging platform technologies.
Terraform, AWS, and agentic AI are required skills.

Responsibilities

Design, build, and operate cloud-native infrastructure at scale, including load balancers, containers, serverless services, managed and self-hosted databases, caching, and supporting platform services.
Lead infrastructure-as-code programs, including modular repositories, environment promotion, state strategy, and safe migration from monolithic to per-service or contract-based configurations.
Support continuous integration and continuous delivery and release engineering, including progressive delivery, rollback safety, and reliability gates tied to service-level objectives and error-budget signals.
Automate operational workflows using code and event-driven orchestration platforms, emphasizing accuracy, repeatability, compliance, and security.
Partner on multi-cloud platform concerns, including identity, edge and content delivery networks, secrets management, and mobile telemetry pipelines.
Serve as escalation lead for P0/P1 incidents within assigned product POD scope and drive mean time to identify and mean time to restore improvements using severity- and complexity-aware measurement.
Advance intelligent incident response through 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, including feature breakage detection, synthetics, latency service-level objectives, and observability accuracy.
Implement enterprise observability standards, including distributed tracing, structured logging, required service tags, and service-level-objective-based alerting.
Build operational telemetry for automated and multi-step platform workflows, including per-run correlation, failure taxonomy, and anomaly review.
Operate secure agent-tool connectivity, such as 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.
Enforce security by default through just-in-time access, least-privilege identity and access management, secrets management, and edge and web application firewall protections.
Implement policy as code at pull-request and deployment stages, and drive configuration drift detection and closure service-level agreements.
Define permissions, guardrails, and autonomy zones for automated systems, with kill switches and immutable audit logs.
Establish and operate a large language model/artificial intelligence gateway for policy enforcement, safety scanning, cost attribution, and reliability-gated deployments where applicable.
Treat the platform as a product by maintaining a self-service catalog, environment stability, and toil reduction.
Lead assigned platform engineering initiatives end-to-end, including milestones, key performance indicator measurement, stakeholder demonstrations, documentation, and knowledge transfer.
Serve as primary liaison to assigned Product PODs for sprint and release planning, service-level agreement negotiation, status reporting, and platform syncs.
Develop runbooks, standards, and machine- and human-readable operational documentation.
Design and operationalize multi-step automated workflows with explicit human-approval nodes, tool registries, and evaluation-in-continuous-integration gates.
Build platform application programming interfaces that wrap existing continuous integration and delivery and infrastructure-as-code operations, enabling safe automation without replacing existing systems.
Provision isolated execution environments for automated runs with no standing credentials, default-deny egress, per-run isolation, and mandatory evaluation results.
Implement model routing and circuit breakers for cost efficiency and provider resilience when large-language-model-backed workflows are in scope.
Promote a governed platform delivery lifecycle with measurable exit criteria at each stage.
Mentor engineers on incident command, infrastructure-as-code standards, observability hygiene, and safe adoption of platform automation.
Drive cross-functional alignment with Security and product development using delivery practices and data-driven key performance indicator reviews.
Contribute to hiring, onboarding, and knowledge-culture initiatives.
Validate system integrity, infrastructure designs, application deployments, and operational processes, and recommend improvements.

Desired Qualifications

Kubernetes and Docker experience are good-to-have skills.
Python experience is good-to-have.

Lead Site Reliability Engineer or Platform Engineer

Weekday AI · Bengaluru, India · Full-time · Posted 2026-09-22

Salary: INR 5,000,000–10,000,000

Workplace: on_site

Department: Weekday's Client via platform

Description

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, 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.

Must-have skills

Terraform, AWS, agentic ai

Good-to-have skills

Kubernetes, docker, pyhton

Apply

Apply at Weekday AI

About the Company

Weekday AI

Proactive software engineer recruitment via referrals

Weekday.works helps companies hire software engineers through proactive outreach and peer-recommended candidates. Its platform automates tracking, pipeline management, and provides weekly updates, while it actively identifies engineers via peer networks, reaches out, shortlists, checks references, and schedules interviews. Differentiators include peer-backed vetting instead of traditional job boards, proactive outreach, and a passive-income reference feature that monetizes referrals. The goal is to reduce the time and effort of hiring by connecting companies with pre-vetted engineers who are open to new opportunities through a network-driven approach.

Company size: 201-500
Company stage: Seed
Total funding: $2.3M
Headquarters: Bengaluru, India
Founded: 2021

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