Senior / Lead DevOps Engineer

Senior / Lead DevOps Engineer (Remote) - Multiple roles

Simple Machines is a leading independent boutique technology firm with a global presence, including teams in London, Sydney, San Francisco, and New Zealand. We specialise in creating technology solutions at the intersection of data, AI, data engineering, and software engineering.  

We design and build bespoke data platforms and unique software products, create and deploy intelligent systems, and bring engineering expertise to life by transforming data into actionable insights and tangible outcomes. 

We engineer data to life™. 

As we scale our EMEA Engineering Operations, this role will partner closely with our UK leadership team and will focus on supporting our UK-based clients. While you’ll enjoy the flexibility of working remotely, you’ll be closely aligned with our UK delivery teams and client stakeholders, ensuring time-zone overlap and easier collaboration.

Please note: You must be based in Poland with citizenship or full-time working rights to be considered for the opportunity

Key Responsibilities 

• Own and optimise CI/CD pipelines to ensure reliable, scalable, and secure software delivery.  

• Design and implement automated deployment processes across multiple environments.  

• Deploy infrastructure-as-code using tools such as Terraform  

• Build and maintain monitoring and alerting to identify issues.  

• Develop and implement fast rollback strategies to minimise downtime and risk during releases.  

• Collaborate with developers, QA, and operations teams.  

• Continuously evaluate and improve system reliability, scalability, and performance.  

Skills & Experience 

• Strong written and verbal English 

• Proven experience as a DevOps Engineer, Site Reliability Engineer, or similar role.  

• Strong expertise with CI/CD tooling e.g., GitHub Actions, GitLab CI, Azure DevOps. 

• Hands-on experience with cloud platforms e.g., AWS, GCP, or Azure. 

• Proficiency in infrastructure-as-code tools such as Terraform. 

• Solid background in containerisation and orchestration e.g., Docker, Kubernetes.  

• Experience implementing monitoring and alerting solutions.  

• Knowledge of deployment strategies, including canary, blue-green, and rollback approaches.  

• Strong scripting or programming skills including Python, Bash, or similar. 

• Excellent problem-solving skills with a proactive, automation-first mindset.  

Nice to Have 

• Experience with security automation and DevSecOps practices.  

• Familiarity with feature flags and progressive delivery.  

• Exposure to event-driven architectures and modern microservices patterns.  

• Experience in high-growth consulting or SaaS environments.