Senior Backend Engineer
Popsa
- City of Westminster, England, United Kingdom
- City of Westminster, England, United Kingdom
About
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 TypeScript would be a plus Hands‑on experience with Kubernetes for orchestration Proficient with Terraform for infrastructure configuration and provisioning Practical knowledge of observability tooling (CloudWatch, Grafana, Prometheus) Comfortable writing SQL for analytical workloads (e.g., Athena) Experience with ElasticSearch/OpenSearch (nice to have) Familiarity with GitHub 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 Some of our exciting technical challenges
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 Tech Stack highlights
Core Platform
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 DynamoDB application database Prometheus, Grafana, Jaeger and Splunk for observability and alerting User‑facing Apps
100% native iOS app built in Swift using the Coordinators (C‑MVVM) pattern 100% native Android app built in Kotlin, using JetPack 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 Data Architecture
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 AgentCore for agents workflows Ops
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
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Languages
- English
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