About the role
The Opportunity Surevine’s mission is to build and deliver secure, scalable, collaboration solutions for the most security conscious organisations, enabling collaboration on their most highly sensitive information.
Surevine offer our people a platform for you to transform your individual talents into strengths within a creative, innovation-driven environment.
We hire engineers who are adaptable, curious, and committed to creating excellent engineering solutions through both independent work and collaboration.
Engineering in Surevine
You will get exposure to engineering techniques across the software lifecycle; test-driven development, AI-assisted development, experimentation, prototyping and automation. We aren't in the habit of hiring engineering zealots or rigid process followers but instead try to find highly adaptable people who can thoughtfully evaluate context and apply appropriate tools and approaches to the job at hand.
We are actively using AI tools to accelerate our development, improve code quality and solve complex problems. We will want you to use these tools effectively, while maintaining strong engineering fundamentals and critical thinking about AI-generated outputs.
We want you to have (or be looking to learn) an understanding of the impact of engineering decisions on security posture. We are a distributed company and always have been, so you'll need to communicate effectively using our online tools and collaborate with team members through various channels (video calls, chat, async documentation, etc.), whether working in-person or remotely. And engineering in Surevine right now means being comfortable with AI-augmented development workflows and leveraging ground-breaking tools to amplify your capabilities.
Automate infrastructure using Pulumi/Terraform (or CloudFormation/Packer), packaging services into Docker containers, AMIs or serverless deployments
Deliver platform improvements and new tooling within an agile delivery environment, applying SRE principles to production operations
Create and maintain security guardrails and controls (SCPs, AWS Config rules, etc.) across a multi-account cloud environment
Contribute to the cloud operating model and help define best practices as the platform matures
Solid cloud experience with AWS, Azure or GCP, ideally including multi-account architectures and Landing Zone concepts
Competent in Python (including Lambda development) and bash scripting for automation and tooling
Experience building and operating containers (Docker) and Kubernetes administration in a production environment
Knowledge of platform engineering concepts and the distinction between platform and application DevOps
Proven delivery experience within agile, team-based environments
Experience joining and contributing to an existing delivery project or engineering programme
Commercial experience within Agile & DevOps environments
Able to communicate effectively in a remote environment through written and verbal channels. We're committed to building an inclusive environment where diverse perspectives and working styles strengthen our team. Provide reasonable accommodations throughout the application and employment process
Offer flexible working arrangements
If you need any accommodations during the application process or have questions about how we work, please let us know.
About this listing
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