Senior Platform Engineer

• 3+ years of software/platform engineering experience

• 2+ years of Go in production environments

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

• Experience in distributed systems and microservice architectures

Experience with our core technologies:

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

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

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

• gRPC & Protobufs: Experience developing services and defining schemas

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

Infrastructure & DevOps Experience:

• Helm Charts: Template management and deployment automation

• Kubernetes Operators: Operator patterns and controller-runtime

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

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

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

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

• Kubernetes lifecycle: kOps

Database Experience:

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

• PostgreSQL/TimescaleDB administration in production

• Backup/restore procedures and disaster recovery strategies

• WAL management and replication (streaming/logical)

• Query optimization, tuning, and parameter adjustments

It would be a plus if you have:

• 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

We don't require previous experience with our tech stack, but enthusiasm for learning is key. Our technologies include PostgreSQL, Tiger Cloud, AWS, Go, Docker, Kubernetes, Python, and innovative features like Hypertables, Hypercore, vector search, and real-time analytics.

Learn more at www.tigerdata.com or follow us on Twitter @TigerDatabase

👉 👉 Want to get a feel for how we work and what we value? Check out our blog post: What It Takes to Thrive at Tiger Data

At Tiger Data, formerly Timescale, we empower developers and businesses with the fastest PostgreSQL platform designed for transactional, analytical, and agentic workloads. Trusted globally by thousands of organizations, Tiger accelerates real-time insights, drives intelligent applications, and powers critical infrastructure at scale. As a globally distributed, remote-first team committed to direct communication, accountability, and collaborative excellence, we're shaping the future of data infrastructure, built for speed, flexibility, and simplicity.

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.

Service Maintenance

• 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

Feature Development

• 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)

Collaboration & Architecture

• 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

Code Quality & Testing

• 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

Tiger Data is an all-remote organization. This role is a full-time position, looking for candidates in the US or Canada.