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Lead Site Reliability Engineer

Job in St. Louis, Saint Louis, St. Louis city, Missouri, 63105, USA
Listing for: GSPANN Technologies, Inc
Full Time position
Listed on 2026-10-16
Job specializations:
  • IT/Tech
    SRE/Site Reliability, Cloud Computing: Infrastructure & Operations, Systems Engineer
Salary/Wage Range or Industry Benchmark: 140000 - 180000 USD Yearly USD 140000.00 180000.00 YEAR
Job Description & How to Apply Below
Location: St. Louis

Headquartered in California, U.S.A., GSPANN provides consulting and IT services to global clients. We help clients transform how they deliver business value by helping them optimize their IT capabilities, practices, and. With five global delivery centers and 2000+ employees, we provide the intimacy of a boutique consultancy with the capabilities of a large IT services firm.

Role:
Lead Site Reliability Engineer

Location:

St Louis, MO (5 days Onsite)
Duration: 12+ months

The Site Reliability Engineer will run the production environment by monitoring availability and taking a holistic view of system health. They will build software and systems to manage platform infrastructure and applications; improve reliability, quality, and time‑to‑market of our suite of software solutions; and measure and optimize system performance - all with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating to continually improve.

Responsibilities
  • Ensure availability, latency, performance, and efficiency of our global ecommerce sites
  • Experience driving change management and incident management
  • Promote best practices and innovative observability to guide product delivery teams in achieving operational excellence for new product deliveries.
  • Drive operational excellence and evangelize best practices in observability.
  • Develop unified observability dashboards and implement E2E observability requirements.
  • Design innovative observability solutions for internal and external stakeholders.
  • Contribute to observability instrumentation standards and create repeatable patterns for engineering teams.
  • Define and implement E2E observability requirements and lead teams to support E2E best practices.
  • Collaborate with cross‑functional teams to achieve objectives and drive high reliability into systems.
  • Build proprietary tools to mitigate weaknesses in incident management or software delivery.
  • Implement SRE best practices to increase system reliability and performance.
  • Automate processes for improved collaborative response and prepare teams for incidents.
  • Maintain error budgets, meet SLOs, and support uptime and availability of critical platform components.
  • Automate technology stacks to improve operating costs while responding to traffic spikes.
Required

Skills and Experience:
  • Bachelor's Degree in Computer Science, Information Science, Engineering, or a related field.
  • 10+ years of experience in code management, deployment processes, procedures, and tools in a Dev Ops or SRE role.
  • Experience with monitoring tools (preferred: Dynatrace, Splunk, Datadog, Grafana, and New Relic).
  • Proficiency in state‑of‑the‑art observability trends, tools, products, and technologies.
  • Ability to identify organization‑wide gaps in the SRE practice and implement solutions that contribute to organizational transformation.
  • Experience driving cross‑organization adoption of new technologies or initiatives.
  • Ability to influence senior management in selecting the right strategy, processes, and structures to transform the organization into a modern SRE team.
  • Proactive in identifying performance bottlenecks, anomalous system behavior, and addressing root causes of service issues.
  • Passionate about technology with a strong sense of curiosity and a desire to improve processes, automate everything, and continuously learn.
  • Successful experience supporting a cloud production environment (strong preference for Azure).
  • Competency in one or more programming languages for automation (Python strongly preferred).
  • Knowledge of cloud deployment tools and methodologies (ideally Ansible, but Terraform, Azure Dev Ops, etc. are also considered).
  • Deep understanding of Kubernetes and Docker architecture and associated tools.
  • Experience with at least one configuration…
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