Bright Vision Technologies · 2 weeks ago
DevOps & SRE Engineer
United States
Full-time
Remote
Senior Level
$100K/yr - $150K/yr
6+ years expBright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. They are seeking an experienced DevOps & SRE Engineer to ensure the availability, performance, and operational excellence of large-scale distributed systems in production.
Artificial Intelligence (AI)Cyber SecurityInformation TechnologySoftware
No H1B
Responsibilities
Define, instrument, and continually refine service-level objectives (SLOs), service-level indicators (SLIs), and error budgets for critical services, and use those measures to drive concrete engineering and prioritization decisions
Lead incident response and resolution for production issues, acting as a calm and effective incident commander when needed, and ensuring high-quality post-incident reviews that drive lasting improvements
Design and implement comprehensive monitoring, logging, and tracing strategies using Prometheus, Grafana, OpenTelemetry, ELK/EFK, Datadog, or similar tooling so that operators have rich, actionable visibility into system behavior
Build and maintain robust on-call processes, runbooks, and escalation paths that reduce mean time to detect and mean time to resolve while protecting the well-being of the engineers on rotation
Automate operational toil aggressively by writing production-grade tooling in Python, Go, Bash, or similar languages, replacing manual workflows with reliable, auditable automation
Architect and operate large-scale Kubernetes clusters and container-based workloads, including autoscaling, capacity planning, network policy, and integration with service meshes
Design CI/CD pipelines that promote safe, frequent, and observable releases, supported by automated testing, canary deployments, feature flags, and progressive rollout strategies
Lead capacity planning and performance engineering activities, building models that predict growth and stress, and validating those models through load testing and chaos experiments
Partner closely with application development teams to embed reliability practices early in design — including failure-mode analyses, graceful degradation patterns, and dependency hardening
Strengthen the platform’s resiliency through chaos engineering, fault injection, dependency isolation, retries, timeouts, circuit breakers, and well-tested failover paths
Drive continuous improvement of security posture in collaboration with security teams, including patch management, vulnerability remediation, and secure-by-default platform defaults
Contribute to the technical roadmap for reliability tooling, observability platforms, and developer-experience improvements that reduce friction and improve outcomes for engineering teams
Mentor engineers across the organization on SRE practices and foster a strong, blameless culture of operational excellence
Qualification
Required
Bachelor's degree in Computer Science, Engineering, or a related technical discipline
Five or more 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
Solid understanding of distributed system design, including consistency models, partitioning, and failure semantics
Demonstrated experience leading incident response and conducting effective post-incident reviews
Excellent communication and documentation skills
Preferred
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
Benefits
100% Remote (U.S.)
Full-time, Direct W2
Company
Bright Vision Technologies
Bright Vision Technologies is an information technology company that offers software development, AI, and cybersecurity services.
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase