
Database ⢠SaaS ⢠Artificial Intelligence
TigerData is the creator of TimescaleDB, offering a reliable PostgreSQL cloud service designed for high-performance workloads, particularly in time series and real-time analytics. With a focus on security and scalability, TigerData supports demanding applications across various industries by providing lightning-fast data ingestion, complex querying, and efficient management of large datasets. Their services are suitable for customer-facing applications and are used by leading companies in sectors like IoT, AI, and finance.
51 - 200 employees
Founded 2015
âď¸ SaaS
đ¤ Artificial Intelligence
September 13
AWS
Azure
Cloud
Distributed Systems
Docker
GRPC
Kubernetes
Linux
Microservices
Postgres
Prometheus
Python
Rust
Terraform
Go

Database ⢠SaaS ⢠Artificial Intelligence
TigerData is the creator of TimescaleDB, offering a reliable PostgreSQL cloud service designed for high-performance workloads, particularly in time series and real-time analytics. With a focus on security and scalability, TigerData supports demanding applications across various industries by providing lightning-fast data ingestion, complex querying, and efficient management of large datasets. Their services are suitable for customer-facing applications and are used by leading companies in sectors like IoT, AI, and finance.
51 - 200 employees
Founded 2015
âď¸ SaaS
đ¤ Artificial Intelligence
⢠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
⢠5+ years of software/platform engineering experience ⢠3+ years of Go in production environments ⢠3+ years Kubernetes operations (building, debugging, scaling clusters) ⢠Experience in distributed systems and microservice architectures ⢠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 ⢠Rust: experience developing low latency applications memory efficient applications in rust is a plus ⢠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, or similar ⢠Linux & Bash: Deep knowledge of operating systems and container environments ⢠Kubernetes lifecycle: kOps ⢠PostgreSQL user and DB administration without 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
⢠Flexible PTO and comprehensive family leave ⢠Fridays off in August đ ⢠Fully remote opportunities globally ⢠Stock options for long-term growth ⢠Monthly WiFi stipend ⢠Professional development and educational resources đ ⢠Premium insurance options for you and your family (US-based employees)
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