Product Engineering Senior Backend Engineer Soho

The mission for the role

The backend team at Popsa is responsible for the entirety of the backend, from the underlying AWS infrastructure to the microservices and code that runs on it.

As guardians of Popsa’s infrastructure the team are involved in the design and development of features from the get go; supporting with domain knowledge in API design, security and infrastructure; enabling Popsa to bring exciting features from inception to implementation.

The backend team can be considered cross discipline, operating across both the backend services and platform/devops domains — this richness keeps the workload varied and exciting.

We’re looking for a highly skilled and driven Senior Backend Engineer who can cover a wide scope of responsibilities, including user‑facing feature development, infrastructure reliability and security, and development of internal services. Sitting at the heart of the company, this role will work directly with product, front‑end engineering, data science, customer service and operational teams.

This is a really exciting opportunity with the potential to directly influence the company's growth, through innovative technical design and freedom to explore novel approaches.

• Strong recent experience with AWS and its managed/serverless ecosystem
• A problem‑solving mindset and a constructive, collaborative approach
• Clear communicator who works well across engineering and product teams
• Solid experience developing in Go, familiarity with languages such as Python or Type Script would be a plus
• Hands‑on experience with Kubernetes for orchestration
• Proficient with Terraform for infrastructure configuration and provisioning
• Practical knowledge of observability tooling (Cloud Watch, Grafana, Prometheus)
• Comfortable writing SQL for analytical workloads (e.g., Athena)
• Experience with Elastic Search/Open Search (nice to have)
• Familiarity with Git Hub Actions (nice to have)
• Interest in and active use of AI‑based tooling to support efficient engineering practices
• A technically strong, product‑focused mindset that balances engineering quality with product priorities

• Scaling infrastructure globally to provide a low‑latency experience to our users
• Enabling real‑time design collaboration between our users
• Developing social‑graphs to help users enrich their stories

• Cloud‑hosted infrastructure running 30+ micro‑services on AWS using Kubernetes (EKS) and gRPC for interservice communication

• Serverless stack with over 250 Lambda functions for event processing
• Terraform‑managed infrastructure
• Dynamo
  
  DB application database
• Prometheus, Grafana, Jaeger and Splunk for observability and alerting

• 100% native iOS app built in Swift using the Coordinators (C‑MVVM) pattern
• 100% native Android app built in Kotlin, using Jet Pack compose
• (Both mobile apps leverage native vision and machine learning frameworks to perform deep analysis on photos using our in‑house trained models)
• Modern, high‑performance Typescript web application deployed on Vercel
• Fully automated deployment workflows for Web development

• S3 data lake with Athena and Apache Spark for analytical workloads
• AWS Batch for orchestration of user‑facing data‑rich features like Memory generation
• Sagemaker for model training and evaluation
• Bedrock and Agent Core for agents workflows

• Linear used for work management across all teams
• Figma used for product design and front‑end prototyping
• Confluence (moving to Coda) for knowledge management
• Slack for internal comms
• Mixpanel and Growthbook for behavioural analytics and multi‑variate testing
• ChatGPT, Claude and AI‑enabled IDEs available to all team members