Propeller is on a mission to take the guesswork out of moving dirt - reducing wasted fuel, time, and money. We do this through the power of maps.

Our customers use Propeller's integrated hardware and software products to capture accurate 3D versions of their worksites. With over 50,000 worksites worldwide using Propeller's smart survey technology, we empower project teams to map, measure, and manage site activity.

Propeller empowers everyone to approach, own, and solve problems creatively. We're data nerds who care about impact, honesty, and each other. We take pride in being a great place to work and are proud to be recognized as a Fast Company and BuiltIn Best Place to Work. You can learn more about us on Glassdoor.

Your Mission:

As a Senior DevOps Engineer, you'll help raise the reliability, operability, and resilience of the infrastructure that powers Propeller's engineering organisation.

You'll work across a broad infrastructure environment spanning AWS, Kubernetes, Terraform, observability, automation, and on-premise systems. Your focus will be making our platform easier to understand, safer to change, faster to recover, and simpler for teams to operate.

This role is about more than keeping systems running. You'll help shape how reliability works at Propeller, improving service health standards, evolving SLOs and scorecards, strengthening observability, reducing operational toil, and turning production learnings into durable improvements.

As a senior engineer, you'll be expected to lead through technical depth, judgment, and influence. You'll take ambiguous reliability problems, find pragmatic paths forward, mentor others, and help teams make high-quality infrastructure decisions.

Responsibilities

• Own and evolve critical infrastructure: operate, maintain, and improve the AWS, Kubernetes, networking, shared services, and on-premise systems that power Propeller
• Raise our reliability bar: improve the operational maturity of our platform through better observability, alerting, SLOs, scorecards, and production readiness practices
• Automate and simplify: turn repeated operational pain into tooling, workflows, and Infrastructure as Code patterns that make infrastructure safer and easier to change
• Strengthen how we respond to incidents: help mature our incident response practice through clearer runbooks, better post-incident learning, and durable fixes that prevent recurrence
• Be a trusted reliability partner: work alongside engineering teams as a teammate, not a gatekeeper, helping them reason through trade-offs, recover from incidents, and build systems they can operate with confidence

• You have deep experience with AWS or another public cloud provider, and understand how to operate cloud infrastructure safely at scale
• You have strong experience with Kubernetes or other container orchestration platforms
• You have strong experience with Linux systems, command-line tooling, debugging, and production troubleshooting
• You understand core networking concepts such as TCP/IP, DNS, firewalls, routing, load balancing, and service-to-service communication
• You have experience with Infrastructure as Code tools such as Terraform, CloudFormation, or similar frameworks
• You know your way around automation and scripting in Bash, Python, TypeScript, or similar languages
• You have experience with observability, monitoring, alerting, or incident response in production environments
• You bring end-to-end ownership and a bias for action to your work, from early planning through to delivery, operation, and continuous improvement
• You lead through curiosity and collaboration, helping keep our technology modern while supporting the growth of the broader team
  
  

Bonus points if you have...

• Experience working with SLOs, SLIs, service health standards, scorecards, or production readiness frameworks
• Experience operating hybrid infrastructure across cloud and physical data centres
• Experience with cost optimisation, capacity planning, or infrastructure efficiency work
• Experience at the intersection of AI and infrastructure, whether operating AI/ML workloads in production or using AI to improve how infrastructure and reliability teams operate
• AWS, Kubernetes, or networking certifications such as Solutions Architect, SysOps Administrator, CKA, CCNA or equivalent.

• Employee share options
• Professional development budget and leave
• The opportunity to take part in our mentorship program
• Mental health resources
• Monthly telephone and/or internet allowance
• Paid primary & secondary parental leave policies
• Hybrid work arrangements and WFH equipment provided