{"id":3087164,"url":"https://alion.io/job/bright-vision-technologies-platform-reliability-engineer-bright-vision-technologies-6","title":"Platform Reliability Engineer - Bright Vision Technologies","company":{"id":452187,"name":"Bright Vision Technologies","domain":"brightvisiontechnologies.com","url":"https://alion.io/company/bright-vision-technologies-2","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"JazzHR","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":135000,"max":185000,"currency":"USD","period":"year","gross":null,"usd_annual":185000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Bash","optional":false},{"name":"Chaos Engineering","optional":false},{"name":"CI/CD","optional":false},{"name":"Datadog","optional":false},{"name":"Go","optional":false},{"name":"Grafana","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Consul","optional":true},{"name":"GCP","optional":true},{"name":"Istio","optional":true},{"name":"Linkerd","optional":true},{"name":"Service Mesh","optional":true}],"status":"live","first_seen_at":"2026-10-22T13:52:02Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-22T23:09:29Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications.\nAs we continue to grow, we’re looking for a skilled Platform Reliability Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology.\nThis is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.\nJob Title: Platform Reliability Engineer\n Location: 100% Remote (Continental United States)Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor)\nSalary: $135K - $185K\nExperience: 5+ years\nEmployment Terms\nThis is a 100% remote, full-time, direct W2 position with Bright Vision Technologies.\nThis role is part of Bright Vision Technologies’ in-house Statement of Work (SOW) engagement. The client, end customer, and employer for this position is Bright Vision Technologies - there is no third-party client, vendor, or implementation partner involved.\nWe do not engage in C2C, 1099, or third-party arrangements for this role.\nCandidates must be willing to work directly as a full-time W2 employee of Bright Vision Technologies and contribute to our in-house SOW deliverables.\nNo new H1B sponsorship is available for this role.\nHowever, candidates who are currently on a valid H1B visa and require a transfer are welcome to apply. We will support H1B transfers for qualified candidates.\nFor every role, a technical coding assessment is mandatory. Please apply only if you are confident in your technical abilities and hands-on experience.\nJob Summary\nWe are seeking an experienced Platform 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.\nKey Responsibilities\nDefine, 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.\nLead 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.\nDesign 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.\nBuild 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.\nAutomate operational toil aggressively by writing production-grade tooling in Python, Go, Bash, or similar languages, replacing manual workflows with reliable, auditable automation.\nArchitect and operate large-scale Kubernetes clusters and container-based workloads, including autoscaling, capacity planning, network policy, and integration with service meshes.\nDesign CI/CD pipelines that promote safe, frequent, and observable releases, supported by automated testing, canary deployments, feature flags, and progressive rollout strategies.\nLead capacity planning and performance engineering activities, building models that predict growth and stress, and validating those models through load testing and chaos experiments.\nPartner closely with application development teams to embed reliability practices early in design - including failure-mode analyses, graceful degradation patterns, and dependency hardening.\nStrengthen the platform’s resiliency through chaos engineering, fault injection, dependency isolation, retries, timeouts, circuit breakers, and well-tested failover paths.\nDrive continuous improvement of security posture in collaboration with security teams, including patch management, vulnerability remediation, and secure-by-default platform defaults.\nContribute to the technical roadmap for reliability tooling, observability platforms, and developer-experience improvements that reduce friction and improve outcomes for engineering teams.\nMentor engineers across the organization on SRE practices and foster a strong, blameless culture of operational excellence.\nRequired Qualifications\nBachelor’s degree in Computer Science, Engineering, or a related technical discipline.\nFive or more years of SRE, DevOps, or production engineering experience supporting large-scale distributed systems.\nStrong programming skills in at least one of Python, Go, or Java, with the ability to build robust automation and tooling.\nDeep, hands-on experience operating Linux at scale, including networking, performance tuning, and systems-level troubleshooting.\nProduction experience operating Kubernetes and container-based workloads.\nStrong working knowledge of observability tooling such as Prometheus, Grafana, OpenTelemetry, ELK/EFK, or commercial equivalents.\nHands-on experience designing and operating CI/CD pipelines for both infrastructure and applications.\nSolid understanding of distributed system design, including consistency models, partitioning, and failure semantics.\nDemonstrated experience leading incident response and conducting effective post-incident reviews.\nExcellent communication and documentation skills.\n Preferred QualificationsExperience defining and operationalizing SLOs and error budgets in real production environments.\nExposure to chaos engineering practices and tools such as Chaos Monkey, Gremlin, or Litmus.\nHands-on experience with at least one major cloud platform (AWS, Azure, or GCP).\nBackground in capacity planning, performance engineering, or large-scale load testing.\nFamiliarity with service mesh technologies such as Istio, Linkerd, or Consul.\n How to ApplyWould you like to know more about this opportunity?\nFor immediate consideration, please send your resume to  or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com.\nWe recognize that our people are our strength, and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company.\nWe do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.\nBright Vision Technologies is an Equal Opportunity Employer, including Disability/Veterans.\nPosition offered by “No Fee Agency.”\nEqual Employment Opportunity (EEO) Statement\nBright 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.\nBV Teck expressly prohibits any form of workplace harassment or discrimination. 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