
DevOps & SRE Engineer
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Overview
Job Description
- More than 5 years of SRE, DevOps, or production engineering experience supporting large-scale distributed systems.
- Strong programming skills in at least one of Python, Go, or Java, with the ability to build robust automation and tooling.
- Deep, hands-on experience operating Linux at scale, including networking, performance tuning, and systems-level troubleshooting.
- Production experience operating Kubernetes and container-based workloads.
- Strong working knowledge of observability tooling such as Prometheus, Grafana, OpenTelemetry, ELK/EFK, or commercial equivalents.
- Hands-on experience designing and operating CI/CD pipelines for both infrastructure and applications.
- Experience defining and operationalizing SLOs and error budgets in real production environments.
- Exposure to chaos engineering practices and tools such as Chaos Monkey, Gremlin, or Litmus.
- Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP).
- Background in capacity planning, performance engineering, or large-scale load testing.
- Familiarity with service mesh technologies such as Istio, Linkerd, or Consul.
Equal Employment Opportunity (EEO) Statement
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
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Submit 10x as many applications with less effort than one manual application.
