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Principal Platform Engineer

External
equiniti logoEquiniti · Bengaluru - Unit 4
Full-timeOn-site2w ago
AWSAzureBashCI/CDDevSecOpsDocker
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Responsibilities

  • DevOps & Engineering Excellence
  • Own and evolve DevOps standards, CI/CD practices, and SDLC guardrails
  • Champion automation‑first, quality‑driven engineering
  • Act as the DevOps technical authority within squads
  • CI/CD & Platform Engineering
  • Design and scale secure, reusable, YAML‑first CI/CD pipelines
  • Drive adoption of trunk‑based development, Infrastructure as Code, and progressive delivery (Blue/Green, Canary)
  • Build reusable pipeline frameworks and platform accelerators
  • Release & Reliability Engineering
  • Lead release planning, risk assessment, deployment, and rollback strategies
  • Ensure systems are observable, resilient, and reversible by design
  • Conduct post‑release reviews and embed continuous improvement
  • AI‑Enabled DevOps (Practical AIOps)
  • Build custom agents to support development, deployment, and infrastructure pipelines
  • Apply AI‑assisted DevOps to improve productivity and reliability, including: Intelligent pipeline failure analysis, AI‑assisted code, pipeline, and infrastructure reviews, Automated root‑cause analysis using logs, metrics, and traces
  • Drive responsible adoption of AIOps and AI tooling where it delivers measurable value
  • Cloud & DevSecOps
  • Design and operate secure cloud platforms on Azure (primary) and AWS
  • Embed DevSecOps and policy‑as‑code into CI/CD pipelines
  • Apply strong fundamentals in networking, security, and enterprise environments
  • Mentorship & Enablement
  • Mentor engineers across Development, QA, and Platform teams
  • Raise DevOps maturity through hands‑on coaching, standards, and guidance
  • Technologies & Frameworks
  • CI/CD: Azure DevOps (YAML & Classic), GitHub Actions, Jenkins
  • Cloud & IaC: Azure, AWS, Terraform, ARM/Bicep, Puppet
  • Containers & Platform: Docker, Microservices, Kubernetes (AKS/EKS desirable)
  • Automation: PowerShell (strong), Bash
  • AI / AIOps: AI‑assisted DevOps tooling, intelligent observability
  • Security & Data: DevSecOps practices, networking, MS SQL, Windows/.NET
  • Experience & Expectations
  • 14+ years in product / SaaS engineering environments
  • Proven experience building and scaling DevOps capabilities
  • Strong systems thinking across speed, reliability, security, and cost
  • Ability to influence senior engineers and leaders without formal authority
  • Success Measures
  • Faster, safer, and predictable releases
  • Highly automated, AI‑assisted DevOps pipelines
  • Improved engineering productivity and reliability
  • DevOps embedded as engineering culture , not just tooling

Benefits

Equity / stock options

Additional Information

Management Level E Equiniti provides comprehensive solutions to support organizations throughout their corporate lifecycle, including managing shareholder engagement, maintaining stock registers, facilitating ownership transfers, enabling shareholder meetings, paying dividends, supporting IPOs, and administering employee equity plans. We are dedicated to revolutionizing shareholder services by developing digital solutions that facilitate dematerialization for issuers and shareholders. EQ is a fintech that connects the future of capital, communications, and governance, building trust and confidence in every market we serve. Our values set the core foundations to our success. We are TRUSTED to deliver on our commitments , COMMERCIAL in building long term value, COLLABORATIVE in our approach and we IMPROVE by continually enhancing our skills and services. There has never been a better time to join EQ. Job Title: Principal Platform Engineer Reports to: Engineering Manager Experience: 14+ years (Product / SaaS engineering required) Role Summary The Principal DevOps Engineer is a senior technical leader responsible for shaping and scaling modern DevOps, platform engineering, and release practices across product teams. The role is hands‑on and highly influential, focused on automation, reliability, security, developer productivity, and AI‑assisted engineering.


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