Platform Engineer at Cogna responsible for cloud infrastructure and internal tools development. Joining a team focused on AI-powered solutions for critical industries.
Responsibilities
Design and evolve our cloud infrastructure and internal platform (primarily Azure/Kubernetes-based), including service-to-service communication and workflow orchestration layers (e.g. gRPC, Temporal, Dagster) that power product delivery.
Make architectural decisions that shape how Cogna builds and operates software
Work within and contribute to our Go/Python/TypeScript codebase.
Own and evolve our build, infrastructure-as-code, and delivery systems (e.g. Bazel, Terraform, CI/CD), optimising for scalability, hermeticity, and developer velocity.
Implement and own security controls, identity and access management systems, and network configuration policies across our Kubernetes environments.
Improve and drive observability by implementing logging, tracing, and alerting systems (e.g. Datadog).
Partner with internal teams to improve resilience, automate toil, and reduce lead time to deployment.
Drive root cause analysis and reliability improvements from incidents.
Requirements
Proficient in writing maintainable, testable, and scalable code in real-world, production environments. Language fluency in Python, Typescript, or Go is a plus, but strong engineers with deep experience in comparable languages are welcome.
Strong foundational software engineering skills: Solid grasp of computer science fundamentals such as data structures, concurrency, time/space complexity and performance.
Systems-level thinking: Able to reason about distributed systems under failure, scale, and load and design resilient abstractions accordingly. Familiar with networks, operating systems, compilers, storage systems, or distributed services.
Infrastructure as Code and automation: Experience with tools like Terraform, Pulumi, or equivalent for managing cloud-native infrastructure declaratively and repeatably.
Deep operational experience with PostgreSQL in production — including performance tuning, schema evolution, multi-tenant design, and reliability under load.
Security-first mindset: Deep appreciation for secure-by-default design. Familiar with principles like least privilege, secrets management, threat modeling, and how to embed security controls into infrastructure and CI/CD pipelines.
Cross-functional collaboration: Comfortable partnering with other engineers, product managers, sales, marketing, IT and support to define and implement platform capabilities that meet shared goals.
AI assisted development: Excited about using AI-assisted development tools and interested in integrating AI into engineering workflows and platform capabilities.
Benefits
25 days annual leave
Private healthcare, including family cover and pre-existing conditions
Excellent pension scheme, company contribution fixed at 7.5%
Flexible hybrid working with 2 days per fortnight in our Chancery Lane office
Regular social events and offsites
Access to a gym and fitness classes in our office building
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