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 Popsas 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.
Were 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 companys 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
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
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Senior IC
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 Popsas infrastructure the team are involved in the design and development of features from the get go...
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 Popsas 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.
Were 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 companys 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
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
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Senior IC
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