Overview

Senior Staff Software Engineer, Site Reliability Platform Automation We have an opportunity for a Senior Staff Software Engineer, Site Reliability Platform Automation to join our SaaS Platform Engineering team in Bangalore, India, reporting to Sr.

Responsibilities

• Set technical direction across reliability measurement, toil automation, resilience testing, and self-service enablement, ensuring the architecture operates as a coherent platform rather than four disconnected efforts.
• Carry the technical design across High Availability, SLO/SLI, Error Budgets, Chaos/DR Testing, Change Management Governance, Incident Response, Observability, and Application Team Performance Capacity Tuning.
• Design and build golden paths, Terraform modules, and Kyverno policies that enable product engineering teams to provision and operate services independently through guardrails rather than approval gates.
• Design measurement pipelines and evidence stores that make reliability, service health, developer experience, operational efficiency, and platform adoption measurable and auditable.
• Build automation frameworks for repeatable CVE remediation, infrastructure upgrades, third-party provider testing, and routine operational requests across four production realms.
• Partner with NA DevOps, IN DevOps, and CloudOps Engineering teams to understand manual workflows and replace recurring operational work with reliable, maintainable software.
• Evaluate build-versus-adopt decisions and select appropriate open-source, commercial, or internal capabilities to avoid creating unnecessary platform toil.
• Develop and review production-quality software in Go, Python, Rust, Java, or a comparable language, including tests, instrumentation, documentation, and operational safeguards.
• Establish resilient, secure, and observable designs for AWS and GCP environments, including platforms with FedRAMP, SOC 2, or ISO-related constraints.
• Apply AI-assisted engineering tools to accelerate code exploration, test generation, documentation, telemetry analysis, workflow automation, and operational decision support while preserving human review, security, privacy, auditability, and accountability.

Qualifications

• 12+ years of software engineering experience, with substantial depth in infrastructure, platform, developer tooling, distributed systems, or reliability engineering.
• Demonstrated experience building and evolving internal platforms, developer tools, or reliability systems used by other engineering teams in production.
• Deep expertise in at least two of distributed systems, Kubernetes and container platforms, infrastructure as code, CI/CD systems, observability and telemetry pipelines, with working fluency across the remaining areas.
• Strong current production coding ability in Go, Python, Rust, Java, or a comparable language, including testing, debugging, performance analysis, and operational ownership.
• Proven ability to replace recurring manual work with automation and demonstrate measurable improvements in toil, reliability, capacity, change safety, or developer experience.
• Platform-as-product mindset, with experience treating internal engineers as customers and measuring adoption, usability, satisfaction, and operational outcomes.
• Practical experience using AI-assisted engineering or operational tools for productivity, analytics, automation, content generation, or decision support, together with sound judgment about appropriate human oversight and control boundaries.
• Proven ability to influence senior technical stakeholders, mentor engineers, communicate clearly, and drive adoption across organizational boundaries; a bachelor's or master's degree in computer science, engineering, or a related technical field is preferred.
• Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.