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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.
As 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.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Platform Reliability Engineer
Location: 100% Remote (Continental United States)
Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor)
Salary: $135K - $185K
Experience: 5+ years
Employment Terms
This is a 100% remote, full-time, direct W2 position with Bright Vision Technologies .
This 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.
We do not engage in C2C, 1099, or third-party arrangements for this role.
Candidates must be willing to work directly as a full-time W2 employee of Bright Vision Technologies and contribute to our in-house SOW deliverables.
No new H1B sponsorship is available for this role.
However, 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.
For every role, a technical coding assessment is mandatory. Please apply only if you are confident in your technical abilities and hands-on experience.
Job Summary
We 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.
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.
Required Qualifications
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 Qualifications
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 or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com.
We 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.
We 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.
Bright Vision Technologies is an Equal Opportunity Employer, including Disability/Veterans.
Position offered by “No Fee Agency.”
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.