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  1. Home
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  3. Platforms Lead

Platforms Lead

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Weekday AI logo

Platforms Lead

Weekday AI

30,00,000–50,00,000 / Year

Location

Bengaluru, Karnataka, India

Experience

Senior

Posted

Jul 7, 2026

Apply by

August 6, 2026

Applicants

0

Early applicantFull-timeWork from Office

Sign in to apply on web or download the app for more options.

Job Description

**This role is for one of the Weekday's clients** **Salary range: Rs 3000000 - Rs 5000000 (ie INR 30-50 LPA)** Min Experience: 6+ years Location: Pune, Bangalore, Hyderabad JobType: full-time We are entering a critical scale-up phase where speed must be balanced with stability, security, reliability, and cost efficiency. We are looking for a highly experienced Platforms Lead to help evolve our engineering infrastructure into a mature, platform-driven ecosystem that enables teams to move faster with confidence. This role sits at the intersection of platform engineering, cloud architecture, DevOps, security, compliance, reliability, and developer experience. You will play a key role in building scalable infrastructure foundations while acting as a force multiplier for engineering teams. This is a hands-on leadership role requiring both strategic thinking and deep technical execution. ### What Success Looks Like - Engineering teams ship faster with confidence and standardized guardrails - Cloud cost, security, and reliability become predictable, measurable, and optimized - CI/CD systems are production-ready, secure, and highly trusted - Platform decisions simplify developer workflows and reduce operational complexity - Infrastructure becomes self-service, scalable, and developer-friendly ### Key Responsibilities ### Platform & Cloud Architecture - Own and evolve platform and cloud architecture across AWS, GCP, and Azure environments - Design reusable and opinionated platform patterns instead of one-off infrastructure solutions - Build and scale Internal Developer Platforms (IDP) with: - Self-service environments - Golden paths and paved roads - Standardized templates and engineering guardrails - - Lead Kubernetes and cloud-native platform adoption at scale - Drive infrastructure automation using Terraform, Pulumi, or similar Infrastructure-as-Code tools ### CI/CD, Reliability & Developer Experience - Establish and enforce strong CI/CD practices with automated quality gates and deployment readiness - Improve testing, automation, deployment safety, and release confidence - Define and monitor SLIs, SLOs, golden signals, and incident response practices - Reduce operational toil and improve developer productivity through platform improvements - Build scalable and cost-efficient observability systems using tools such as Grafana, Prometheus, and New Relic - Enable teams to seamlessly integrate observability into applications and services ### Security, Privacy & Compliance - Implement security-by-default principles across infrastructure and delivery pipelines - Lead readiness and implementation for: - ISO 27001:2022 - SOC 2 Type II - DPDP Act compliance - - Implement zero-trust security, least-privilege access, and secure data isolation practices - Drive governance, vulnerability management, and infrastructure security standards ### FinOps & Optimization - Build cloud cost visibility and accountability across engineering teams - Implement FinOps practices including budgets, alerts, reporting, and optimization routines - Drive infrastructure efficiency and balance build-vs-buy decisions with ROI-focused thinking ### AI, Data & MLOps Foundations - Enable scalable and secure AI/ML infrastructure foundations - Define infrastructure guardrails for AI workloads and sensitive data management ### Leadership & Collaboration - Collaborate closely with engineering and product teams to align platform and business goals - Mentor engineers and guide teams through platform and infrastructure evolution - Lead long-term strategic initiatives while remaining execution-focused and pragmatic ### Required Qualifications - 6–8+ years of experience building and operating production-grade infrastructure and cloud platforms - Experience scaling infrastructure in high-growth or regulated environments - Strong hands-on expertise with: - Kubernetes and cloud-native ecosystems - Service Mesh and Policy Engines - AWS, GCP, and Azure - Terraform and Infrastructure-as-Code tools - - Strong understanding of SDLC, CI/CD pipelines, Jenkins, and GitOps workflows - Experience with observability and monitoring tools such as Grafana, Prometheus, and New Relic - Ability to read and contribute to systems written in Go, Python, or Node.js - Practical experience implementing ISO 27001 and SOC 2 security controls - Strong understanding of privacy, data protection, and access control mechanisms ### Preferred Skills - DevOps - GCP - SecOps - FinOps - Docker & Kubernetes - Infrastructure Automation - Platform Engineering - Cloud Security - Observability & Monitoring ### Preferred Candidate Profile - Strong ownership mindset with a bias for action - Reliability-focused, analytical, and cost-conscious decision maker - Comfortable operating in fast-paced and ambiguous environments - Collaborative communicator who can balance technical excellence with business priorities - Experience in fintech, identity, or regulated industries is an added advantage - Prior experience building Internal Developer Platforms or shared infrastructure tooling is preferred - Contributions to open-source projects are a plus

Key Responsibilities

  • Own and evolve platform and cloud architecture across AWS, GCP, and Azure environments
  • Design reusable and opinionated platform patterns and build Internal Developer Platforms
  • Lead Kubernetes and cloud-native platform adoption at scale
  • Establish and enforce strong CI/CD practices with automated quality gates
  • Define and monitor SLIs, SLOs, and incident response practices
  • Implement security-by-default principles and drive ISO 27001 and SOC 2 compliance
  • Build cloud cost visibility and implement FinOps practices
  • Enable scalable and secure AI/ML infrastructure foundations
  • Mentor engineers and guide teams through platform evolution

Skills Required

KubernetesAWSGCPAzureTerraformInfrastructure-as-CodeCI/CDJenkinsGitOpsGrafanaPrometheusNew RelicGoPythonNode.jsService MeshPolicy EnginesISO 27001SOC 2LeadershipStrategic thinkingMentoringCollaborationCommunicationProblem solvingDevOpsSecOpsFinOpsDockerInfrastructure AutomationPlatform EngineeringCloud SecurityObservabilityMonitoringOwnership mindsetBias for actionReliabilityAnalytical thinkingCost-conscious decision makingCollaborative communication

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Job Overview

Salary

30,00,000–50,00,000 / Year

Currency: INR

Job Type

Full-time

Experience

Senior

Location

Bengaluru, Karnataka, India

Application Deadline

August 6, 2026

Total Applicants

0

About Weekday AI

Weekday AI logo

Weekday AI is a leading company in the Technology sector, known for innovation and employee-centric culture.

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