Senior Platform Engineer

• We’re looking for experienced engineers to help us build and maintain the platform for our managed TimescaleDB cloud services. You will work with a close-knit team, building and maintaining the infrastructure that powers our platform.
• Your work will be instrumental in developing our Kubernetes-based clusters and infrastructure. If you enjoy solving complex infrastructure challenges and automating workflows, this role is perfect for you
• Maintain stability of control plane consisting of a distributed microservice architecture closely interacting with kubernetes and cloud provider APIs
• Debug and resolve complex Kubernetes issues across multiple regions and clouds
• Automate database lifecycle operations (deploy, resize, upgrade, fork)
• Participate in on-call rotation, handle incident response, perform root cause analysis
• Develop back-end features for Tiger Cloud, specializing in a distributed microservice architecture with an emphasis on platform and database expertise
• Develop Kubernetes controllers, operators, and CRDs to extend platform capabilities
• Enhance observability and monitoring systems
• Improve deployment reliability, error handling, and client tooling (CLI interfaces)
• Work closely with infrastructure and software engineering teams to ensure platform scalability and reliability
• Stay current with Kubernetes releases, features, CNI/CSI interfaces, and cluster orchestration tools
• Contribute to system architecture for scalable microservices and distributed systems
• Write idiomatic Go code with comprehensive unit and integration tests
• Maintain >80% code coverage and enforce quality with golangci-lint
• Perform peer reviews and follow Go/Kubernetes best practices
• Ensure security compliance and vulnerability management

Benefits

• Flexible PTO & family leave

• Professional development & educational benefits

• Summer Fridays off in August

• FSA/Dependent FSA plans

• Fully remote work from anywhere

• 401(k) retirement plan

• Stock options

• Premium insurance options for you and your family

• Monthly WiFi stipend

• Database Experience:

• Experience with our core technologies:

• Kubernetes Operators: Operator patterns and controller-runtime

• Experience with ECPG and Rust: experience developing low latency applications memory-efficient applications in Rust is a plus

• A user of PostgreSQL, capable of interacting with various libraries and not dependent on ORMs (required)

• Kubernetes: Experienced Kubernetes user familiar with client-go and capable of developing CRDs and controllers

• Monitoring & Observability: Prometheus, OpenTelemetry/Jaeger, distributed tracing

• Query optimization, tuning, and parameter adjustments

• 3+ years of software/platform engineering experience

• PostgreSQL/TimescaleDB: Administration, migration, replication, performance tuning

• Infrastructure as Code: Terraform, Pulumi, Apate or similar

• Experience in distributed systems and microservice architectures

• Go (Golang): Advanced proficiency (Go 1.24+), primary development language

• Kubernetes lifecycle: kOps

• 2+ years of Go in production environments

• WAL management and replication (streaming/logical)

• PostgreSQL/TimescaleDB administration in production

• CI/CD: GitHub Actions, automated testing, deployment pipelines

• GRPC & Protobufs: Experience developing services and defining schemas

• Infrastructure & DevOps Experience:

• Helm Charts: Template management and deployment automation

• 2+ years of Kubernetes operations (building, debugging, scaling clusters)

• Linux & Bash: Deep knowledge of operating systems and container environments

• Backup/restore procedures and disaster recovery strategies

• Experience with TimescaleDB or PostgreSQL in production

• Cloud provider expertise (AWS, Azure; both a plus)

• Experience with self-hosted Kubernetes clusters (not only EKS/AKS/GKE)

• Familiarity with CNI and CSI plugins (deploying, tuning, troubleshooting)

• Experience tuning Kubernetes core components (API server, kubelet, scheduler, etc.)

• Previous work on database-as-a-service or large-scale distributed systems