Location: Los Angeles CA*** Initially Remote(but later it will be onsite)***
Duration: 1 Year
Job Description Design build and maintain backend services for the Stargazer automation platform Treat Reliability as a Feature owning error budgets relentlessly hunting down errors and shielding the system from antipatterns or designs that conceal problems instead of surfacing them Ensure errors are tracked instrumentation is up to date and fully integrated with our inhouse incident management system Champion sound system engineering practices while collaborating closely with stakeholders and product managers Contribute to scaling a high throughput automation platform powering streaming pipelines
What Were Looking For Hands-on production experience with Golang primary language Java GraphQL APIs MongoDB Redis CQRS architecture and Kafka SRE mindset proven ability to implement and enforce error budgets observability and resilience at scale Familiarity with Kubernetes cloud variants GKE OCI and ArgoCD Experience with ELK stack for observability Exposure to NoSQL systems like ScyllaDB or MongoDB beyond primary expertise Strong communication skills for working across engineering product and operations
Bonus Skills Experience with Ray Serve or other LLM serving frameworks Contributions to streaming pipelines and automation workflows
Position: Sr. Golang Developer Location: Los Angeles CA*** Initially Remote(but later it will be onsite)*** Duration: 1 Year Job Description Design build and maintain backend services for the Stargazer automation platform Treat Reliability as a Feature owning error budgets relentlessly hunting d...
Position: Sr. Golang Developer
Location: Los Angeles CA*** Initially Remote(but later it will be onsite)***
Duration: 1 Year
Job Description Design build and maintain backend services for the Stargazer automation platform Treat Reliability as a Feature owning error budgets relentlessly hunting down errors and shielding the system from antipatterns or designs that conceal problems instead of surfacing them Ensure errors are tracked instrumentation is up to date and fully integrated with our inhouse incident management system Champion sound system engineering practices while collaborating closely with stakeholders and product managers Contribute to scaling a high throughput automation platform powering streaming pipelines
What Were Looking For Hands-on production experience with Golang primary language Java GraphQL APIs MongoDB Redis CQRS architecture and Kafka SRE mindset proven ability to implement and enforce error budgets observability and resilience at scale Familiarity with Kubernetes cloud variants GKE OCI and ArgoCD Experience with ELK stack for observability Exposure to NoSQL systems like ScyllaDB or MongoDB beyond primary expertise Strong communication skills for working across engineering product and operations
Bonus Skills Experience with Ray Serve or other LLM serving frameworks Contributions to streaming pipelines and automation workflows