Lead Site Reliability Engineer

Posted Yesterday
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Carlsbad, CA, USA
In-Office
140K-170K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Security
The Role
Lead reliability engineering for Hanwha Vision’s global cloud platform by owning observability, SLOs, incident response, automation, Kubernetes operations, infrastructure as code, release governance, FinOps, and security guardrails. Mentor distributed SRE teams, lead critical incident response, improve operational consistency, automate AWS processes, and support compliance activities such as SOC 2 audits.
Summary Generated by Built In

Position: Lead Site Reliablity Engineer (SRE)

Location: New Jersey (hybrid) / or Remote (East Coast)

 

Hanwha Vision America (HVA), formerly known as Hanwha Techwin America (HTA), is an affiliate of the Hanwha Group, a Fortune Global 500 company. HVA is an industry-leading provider of advanced network video surveillance products, including IP cameras, storage devices, and video management systems founded on world-class technologies. We offer end-to-end security solutions and have achieved global success across various industry verticals, including retail, transportation, education, banking, healthcare, hospitality, and airports.


We are seeking a Lead Site Reliability Engineer makes Hanwha Vision's global cloud platform observable, automated, and reliable. We treat operations as a software engineering problem. You will do hands-on engineering work and set the reliability standard for SRE engineers across our US, Korea, and India teams. 

 

Key Responsibilities 

  • Observability: Own the design and quality of our monitoring stack: Datadog (including APM), Prometheus, Grafana, Tempo, and PagerDuty. Define SLIs and SLOs with product teams, build SLO-based alerting, and cut alert noise so every page is actionable. 
  • Incident Response: Act as incident commander for critical outages. Own on-call design and escalation paths. Run blameless post-mortems and make sure the follow-up work gets done. 
  • Automation: Replace manual operations work with code (Go or Python). Automate scaling (Karpenter), runbooks, and operational checks. Use Terraform and Helm to manage monitoring, alerting, and guardrails as code. 
  • Release and Change Governance: Help run our release and change management process. Build automated deployment gates that check release conditions and SLOs before changes reach production. 
  • FinOps: Give teams visibility into what their services cost. Find and drive right-sizing and waste reduction across AWS. 
  • Security Guardrails: Support security and compliance work with automated controls (for example, just-in-time AWS access) and SOC 2 evidence. 

 

Technical Leadership 

  • Mentor SRE engineers in Korea and India. Review their designs and code and help them grow into senior roles. 
  • Bring new SRE engineers up to speed on our platform, tooling, and on-call practices. 
  • Keep reliability practices consistent across every region we operate in. 

 

Required Technical Skills 

  • 8+ years of professional experience in SRE, Production Engineering, or Systems/Infrastructure Engineering, including at least 2 years as a technical lead or mentor. 
  • Observability: Deep, hands-on experience with Datadog, Prometheus, Grafana, and PagerDuty, including APM, distributed tracing, and SLO-based alerting. 
  • Incident Management: Has led response to production outages and written post-mortems. 
  • Automation: Strong programming skills in Go or Python. 
  • Containers: Production experience operating and scaling Kubernetes (Amazon EKS preferred), including Karpenter and Helm. 
  • IaC: Strong working knowledge of Terraform. 
  • Communication: Excellent written and spoken English. Comfortable working across time zones and cultures with teams in Korea and India. 

 

Preferred 

  • Experience with AWS cost management (Cost Explorer, tagging, right-sizing). 
  • Experience supporting SOC 2 or similar audits. 
  • Experience troubleshooting performance in Java-based services. 
  • Working knowledge of Kafka/MSK, DynamoDB, OpenSearch, or caching layers. 

 

Travel 

Some travel, including to Carlsbad, CA and to our teams in Korea and India. 


Hanwha Vision America provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Skills Required

  • 8+ years of professional experience in SRE, Production Engineering, or Systems/Infrastructure Engineering
  • At least 2 years of experience as a technical lead or mentor
  • Deep hands-on experience with Datadog, Prometheus, Grafana, and PagerDuty, including APM, distributed tracing, and SLO-based alerting
  • Experience leading responses to production outages and writing post-mortems
  • Strong programming skills in Go or Python
  • Production experience operating and scaling Kubernetes, preferably Amazon EKS, including Karpenter and Helm
  • Strong working knowledge of Terraform
  • Excellent written and spoken English
  • Ability to work across time zones and cultures with teams in Korea and India
  • Experience with AWS cost management, including Cost Explorer, tagging, and right-sizing
  • Experience supporting SOC 2 or similar audits
  • Experience troubleshooting performance in Java-based services
  • Working knowledge of Kafka/MSK, DynamoDB, OpenSearch, or caching layers
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The Company
387 Employees
Year Founded: 1990

What We Do

Hanwha Techwin America (now Hanwha Vision America) develops and supplies video surveillance and vision-intelligence solutions for commercial, industrial, and public environments. Its portfolio includes IP and analog security cameras, network video recorders, video management systems, and AI-powered analytics for monitoring, threat detection, and operational insights. The company emphasizes integrated, reliable systems designed to support security and efficiency across settings such as factories, retail, smart cities, and other facilities.

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