Requirements

Experience: 5+ years

Golang — 5+ years

SaaS — 4 years

Kubernetes — 4 years

CLIs — 4 years

Terraform — 4 years

GitOps — 4 years

English -Upper IntermediateDescription

On behalf of our customer we are seeking for a Senior Go Engineer to join lean, highly skilled R&D team and to own the Go domain inside the R&D group, and craft the next generation of CLIs, operators, and cloud-native services that power the vision.Our customer is transforming how organizations provision infrastructure and treat deployable components as first-class Artifacts. The DAG-native pipeline gives teams instant, reliable deployments.

What You’ll Do

Own all Go development for CLIs and Kubernetes controllers and more.
Define engineering standards for idiomatic Go, context propagation, structured logging, profiling, and observability, ensuring every service meets stringent SLOs.
Model complex workflows as Directed Acyclic Graphs, idempotency, and back-pressure controls.
Own projects end-to-end, from technical design and implementation through testing, deployment, and production support.

What you bring

8-9+ years of software engineering experience in SaaS environments
5+ years of hands-on Go in production.
Expert knowledge of Go internals: goroutines, channels, generics, module management, and the standard tooling chain.
Proven track record building developer-facing CLIs, Kubernetes operators, or other cloud-native automation in Go.
Deep understanding of cloud architecture, container orchestration, networking, and security on at least one major provider.
Hands-on experience with Infrastructure as Code (Terraform, Helm, Pulumi) and GitOps workflows.
Excellent English communication, an ownership mindset, and the ability to thrive in a fast-moving startup.
Bachelor’s degree in Computer Science or equivalent engineering experience (elite military tech units welcome).

Bonus points

Professional cloud certifications (AWS SA Pro, GCP PCA, Azure Solutions Architect).
Contributions to open-source Go repositories or CNCF projects.
Experience operating multi-tenant or very large Kubernetes clusters.
Familiarity with graph databases used for lineage tracking (e.g., Neo4j, NeptuneDB).