Site Reliability Engineer (SRE)
Posted about 23 hours ago
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Site Reliability Engineer (SRE)
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$180,000 Annually
Experience Required: 10+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary:
We are seeking an experienced Site Reliability Engineer to ensure the availability, performance, and operational excellence of large-scale distributed systems in production. As an SRE you will live at the boundary between development and operations, applying strong software engineering principles to infrastructure and operations problems, and continually pushing the platform toward higher reliability with lower operational toil. The ideal candidate will combine deep systems knowledge with strong programming skills, a measurement-driven mindset, and the discipline to design, automate, and operate complex services so that reliability becomes a first-class engineering deliverable rather than a reactive concern.
Key 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.
- Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
- Ten 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.
- 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.
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3899. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
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Bright Vision Technologies is a minority-owned, product-focused AI technology company headquartered in Bridgewater, New Jersey. Founded in July 2020, we are a pure-play product engineering firm dedicated to transforming the staffing and enterprise automation industries through our flagship platform — Lumina. Lumina is an advanced AI-powered talent intelligence and enterprise automation platform that integrates artificial intelligence, hybrid cloud, and blockchain technologies to revolutionize how organizations source talent and automate complex workflows. What Lumina delivers: - AI-driven candidate sourcing, semantic resume matching, and intelligent ranking - Generative AI and Large Language Model orchestration with LangChain and RAG-based architecture - Automated recruiter assistant and workflow automation - Blockchain-enabled credential verification and tamper-proof digital identity - Advanced optimization for talent supply chain, workforce planning, and resource allocation - Enterprise-grade security with role-based access, encryption, and comprehensive audit logging - Seamless integration with CRM, ERP, HRMS, ATS, and legacy enterprise systems Built on a scalable microservices architecture with cloud-native deployment across AWS, Azure, GCP, and Red Hat OpenShift, Lumina is trusted by enterprises across financial services, healthcare, manufacturing, and retail — delivering efficiency improvements of 40–60% and measurable ROI within the first quarter of deployment. At Bright Vision, we are building the future of AI-powered talent intelligence — with a strong commitment to innovation, enterprise security, and U.S.-based job creation in AI engineering, product development, and go-to-market functions. Learn more at www.bvteck.com
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