Senior Cloud Infrastructure Engineer (Terraform & Azure/AWS)

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: Staff Platform Engineer

Reports to: Engineering Manager
Experience: 10+ years (Product / SaaS engineering required)

Role Summary

The Staff DevOps Engineer is a senior hands‑on engineer responsible for designing, building, and operating modern DevOps and platform capabilities for product engineering teams.This role focuses on execution excellence, enabling teams through strong CI/CD, cloud, automation, reliability engineering, and AI‑assisted DevOps practices, while influencing standards and best practices within and across squads.

Key Responsibilities

DevOps & Engineering Practices

• Implement and continuously improve DevOps standards, CI/CD practices, and SDLC controls
• Promote automation‑first, quality‑driven engineering
• Act as a senior technical contributor and advisor within squads

CI/CD & Platform Engineering

• Build and maintain secure, scalable, YAML‑first CI/CD pipelines
• Implement trunk‑based development, Infrastructure as Code, and progressive delivery patterns
• Contribute to shared pipeline frameworks, templates, and platform tooling

Release & Reliability Engineering

• Support release planning, deployment execution, and rollback readiness
• Ensure services are observable, resilient, and operable
• Participate in post‑release reviews and reliability improvements

AI‑Enabled DevOps (Applied AIOps)

• Use and extend AI‑assisted DevOps tooling to improve developer productivity and operational insight
• Apply AI techniques for: Pipeline failure analysis and remediation suggestions, AI‑assisted code, pipeline, and infrastructure reviews, Log, metric, and trace‑based root cause analysis
• Contribute to building and integrating custom agents or automation for DevOps workflows

Cloud & DevSecOps

• Build and operate cloud infrastructure on Azure (primary) and AWS
• Implement DevSecOps practices and policy‑as‑code within CI/CD pipelines
• Apply solid understanding of networking, security, and enterprise environments

Mentorship & Collaboration

• Mentor junior DevOps and software engineers
• Share best practices through documentation, pairing, and reviews
• Collaborate with Engineering Managers, Architects, and Platform teams

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 tools, intelligent observability
• Security & Data: DevSecOps practices, networking, MS SQL, Windows/.NET

Experience & Expectations

• 10+ years in product / SaaS engineering environments
• Strong hands‑on experience delivering DevOps and CI/CD solutions
• Proven ability to improve deployment reliability, automation, and speed
• Solid systems thinking across delivery, reliability, security, and cost
• Influences through technical credibility and delivery impact

Success Measures

• Reliable, repeatable deployments with minimal manual intervention
• Well‑designed CI/CD pipelines adopted by teams
• Improved operational stability and developer productivity
• DevOps practices consistently applied across squads