Senior Backend Engineer

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 What we are looking for

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

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

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

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

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