San Francisco

Site Reability Engineer (SRE)

Salary: unknownHybridDevOps / SRE / platform / cloud

TypeScriptDatadogKubernetesAWSGraphQLPostgreSQLRedisGitHub ActionsTerraformRoot cause analysis

Original posting ↗Apply ↗Company job board ↗

Vizcom, a software company in manufacturing and hardware, is hiring for the role of Site Reability Engineer (SRE). The role is hybrid, based in San Francisco, United States. We classify it under DevOps / SRE / platform / cloud. The posting names Datadog, Kubernetes, AWS, GraphQL, PostgreSQL and Redis. Perks named in the posting: equity. Vizcom has 4 open positions on this site, 4 of them in IT and engineering.

Posted today · Last checked 2026-11-03

About Vizcom

Manufacturing and hardware Software product company 4 open positions, 100% in IT and engineering. Most open roles: Data and machine learning (1), DevOps / SRE / platform / cloud (1), IT support and administration (1).

All open jobs at Vizcom →

Similar jobs

Solutions ArchitectLirvana Labs · New York, NYOn-site Junior Systems EngineerCustom Computer Specialists · Hauppauge, NYUSD 70K–85K / year Systems Engineer - All Levelsallen-control-systems · Austin, TX Documentation Platform EngineerTailscale · Remote (United States)USD 163K–204K / year Integration Engineer - Workato (Remote)Rula · Remote - United StatesUSD 108K–125.4K / year Principal SRE Senior ManagerAccenture Federal Services · Washington, DC DevOps Architect (Azure)Exadel Inc (Website) · United StatesUSD 75–85 / hour Senior DevOps EngineerHard Rock Digital · Hollywood, Florida, United StatesOn-site

1,436 open DevOps / SRE / platform / cloud jobs in the United States All open jobs at Vizcom →

Workplace	Hybrid
Seniority	Not stated
Role	DevOps / SRE / platform / cloud
Countries	United States
Languages	TypeScript
Employment type	FullTime
Key facts	Stack: TypeScript, Datadog, Kubernetes, AWS, GraphQL, PostgreSQL, Redis, GitHub Actions, Terraform · Schedule: on-call · Equity

The full description is on the original posting. Labels are set automatically and can be wrong. About the data