DevOps Architect

Altium
Summary
Join Altium as a DevOps Architect to lead the design, implementation, and evolution of our infrastructure and deployment architecture at scale. You will collaborate with a cross-functional team, act as a trusted advisor for all things DevOps, and participate in roadmap planning. Responsibilities include building relationships with development teams, leading the evolution of the internal DevOps platform, and implementing cloud-native patterns using AWS and Kubernetes. You will also drive architectural decisions, spearhead the evolution of Infrastructure as Code standards, mentor engineers, and champion continuous improvement. This role requires a deep understanding of modern DevOps and infrastructure architecture and a proven ability to build reliable, scalable systems. You will help build and scale a world-class DevOps organization.
Requirements
- 6+ years of experience in DevOps, Platform Engineering, Site Reliability Engineering, or Infrastructure roles
- Bachelorβs degree in computer science or related field
- Proven experience designing and operating production systems in cloud environments, using AWS or another major cloud provider (deep familiarity with EC2, ECS, EKS, RDS, Lambda, VPC, ALB/NLB, S3, Route53, OpenSearch or equivalent technologies in other cloud providers)
- Expert-level knowledge of Kubernetes internals, ecosystem tools (e.g., Helm, ArgoCD), and best practices for multi-region, production-grade clusters
- Strong Infrastructure as Code experience using Terraform
- Experience with CI/CD platforms (e.g., Github Actions, GitLab CI, Jenkins, or similar), including self-hosted CI/CD systems
- Strong software engineering fundamentals and the ability to write automation and tooling in Go, Python, or Bash
- Experience leading architectural decisions for Kubernetes-based computer platforms
- Comfortable with event-driven and microservices-based architecture, service discovery, and distributed system design
- Proven experience of building developer platforms for mid-size and enterprise customers
- Strong background in monitoring and observability (NewRelic, Datadog, Prometheus/Grafana/Loki/Tempo, or similar APM/logging/metrics tools)
- Track record of mentoring engineers and influencing technical direction at team and org level
- Good communication skills and the ability to bridge the gap between technical and non-technical stakeholders
Responsibilities
- Lead the design, implementation, and evolution of our infrastructure and deployment architecture at scale
- Act as an architect and trusted advisor for all things DevOps, infrastructure, and platform engineering
- Collaborate closely with other architects and engineering leaders to define scalable, secure, and observable infrastructure patterns that support our A365 product at global scale
- Participate in roadmap planning and ongoing project management, ensuring technical initiatives align with broader strategic goals
- Build clear and trusted relationships with development teams, improving the developer experience by removing friction and unblocking technical barriers
- Lead the evolution of our internal DevOps platform, shaping its architecture, capabilities, and adoption to meet the growing needs of our engineering teams and business
- Evaluate, design, and implement cloud-native patterns using AWS, Kubernetes and other Cloud Native tools for high availability, resilience, self-healing, and efficient operations
- Drive architectural decisions across CI/CD, cloud infrastructure, monitoring, and compliance
- Spearhead the evolution of Infrastructure as Code standards and tools (e.g., Terraform), ensuring consistency and reusability across teams and environments
- Mentor and coach engineers on design principles, automation patterns, and operational excellence
- Champion continuous improvement in automation, system performance, cost optimization, security posture, engineering standards, and deployment workflows across our cloud environments
- Help build and scale a world-class DevOps organization by participating in hiring and recruitment efforts
Preferred Qualifications
- Familiarity with security tooling and policy-as-code is a plus
- Familiarity with other cloud providers is a plus
- Familiarity with Data Analytics tooling and architecture is a plus (e.g. Databricks, Airflow, Kinesis/Firehose)