
51 - 200 employees
Founded 2015
âď¸ SaaS
đ¤ Artificial Intelligence
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.
đ May 6
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51 - 200 employees
Founded 2015
âď¸ SaaS
đ¤ Artificial Intelligence
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.
⢠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 ⢠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) ⢠Collaborate closely with infrastructure and software engineering teams ⢠Stay current with Kubernetes releases and contribute to system architecture of scalable microservices
⢠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 ⢠Advanced proficiency in Go (Golang): Go 1.24+, primary development language ⢠Experienced Kubernetes user familiar with client-go and capable of developing CRDs and controllers ⢠Experience in PostgreSQL/TimescaleDB administration, migration, replication, performance tuning ⢠Experience with gRPC & Protobufs in developing services and defining schemas ⢠Experience with ECPG and Rust for developing low latency memory-efficient applications is a plus ⢠Experience with Helm Charts for template management and deployment automation ⢠Knowledge of Kubernetes Operators and CI/CD using GitHub Actions ⢠Familiar with Prometheus, OpenTelemetry/Jaeger, and infrastructure as code tools (Terraform, Pulumi)
⢠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)
Apply Nowđ May 6
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