Sr. Manager, SRE, Operations & Product Support

American Bureau of Shipping (ABS)
  • Houston, Texas
    3 days ago

    Job Description

    ABS Group Digital Solutions is seeking a Lead, Site Reliability Engineering, Operations & Product Support to establish the production reliability and support operating model for its next-generation Fleet Management System (FMS). The role will help take FMS from development through beta, customer migration, and scaled SaaS operations. It combines hands-on reliability engineering with leadership of incident response, operational readiness, technical support escalation, and post-launch improvement.

    Working with the Platform Engineering & Cloud Architecture lead, application engineering, QA, security, and customer support teams, this person will ensure the product is observable, recoverable, and supportable. The lead will use conventional and AI-assisted automation to streamline operations while establishing clear boundaries between technical SRE ownership and customer-facing support ownership.

    What You Will Do:
    • Define service health measures and reliability objectives for FMS, including availability, latency, error rates, recovery expectations, and appropriate service-level indicators and objectives.
    • Establish end-to-end observability across applications, infrastructure, integrations, and AI-enabled services through actionable logs, metrics, traces, dashboards, health checks, and alerts; assess where AI-assisted anomaly detection can improve signal quality.
    • Lead the technical incident-response model, including severity definitions, on-call and escalation practices, incident coordination, recovery procedures, and post-incident reviews; use AI-assisted summarization and evidence gathering where it improves response without replacing human judgment.
    • Work with engineering and platform teams to design for resilience, performance, capacity, backup and recovery, and safe operation under expected customer and data growth.
    • Define and implement operational-readiness criteria for beta and production releases, including monitoring, runbooks, rollback plans, ownership, support handoffs, and post-release validation.
    • Establish the technical support escalation model and partner with customer support, product, and engineering to resolve issues and turn recurring incidents and tickets into permanent fixes; evaluate AI-assisted ticket categorization and knowledge retrieval to speed technical triage.
    • Support customer migrations, go-lives, and post-launch stabilization by preparing technical monitoring and response plans, triaging production issues, and incorporating lessons into repeatable procedures.
    • Automate routine operational tasks, health checks, deployment verification, incident triage, and recovery; use AI where it demonstrates improved speed or accuracy, with access controls, auditability, and human approval for production-impacting actions.
    • Track reliability, incident, supportability, and operational-efficiency trends; communicate risks, corrective actions, and progress to engineering and program leadership, including evidence of whether AI-assisted workflows reduce toil or improve outcomes.
    • Help build and mentor an SRE/production-operations capability as FMS moves from initial releases to scaled customer use.
    What You Will Need:

    Education and Experience
    • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent relevant experience.
    • 10+ years of relevant experience in site reliability engineering, production engineering, cloud operations, or software operations, including experience leading incident response or operational improvement across teams.
    • Demonstrated experience operating production web or SaaS services and improving their reliability through software engineering and automation.
    • Experience establishing observability, on-call practices, runbooks, and service-health or reliability measures for production systems.
    • Experience partnering with software engineering, platform engineering, and customer-facing support teams during releases, incidents, and customer go-lives.
    • Experience applying AI-assisted tools or workflows to technical operations, incident triage, monitoring analysis, support knowledge retrieval, or operational automation, with an understanding of how to validate results before use in production.
    • Experience with Azure cloud preferred.
    Knowledge, Skills, and Abilities
    • Strong command of SRE practices, including SLIs/SLOs, incident response, root-cause analysis, performance, capacity, resilience, and disaster recovery.
    • Experience operating production SaaS applications on Azure, including compute, networking, identity, storage, containers, databases, integrations, and security.
    • Ability to build effective observability and on-call practices using telemetry, logs, metrics, traces

    Numbers & Facts

    LocationHouston, Texas

    Skills

    • Access Controlunmatched
    • Analysis Skillsunmatched
    • Artificial Intelligence (AI)unmatched
    • Automationunmatched
    • Automation Systemsunmatched
    • Beta Test/Releaseunmatched
    • Channel Supportunmatched
    • Cloud Architectureunmatched
    • Cloud Computingunmatched
    • Computer Networksunmatched
    • Computer Scienceunmatched
    • Corrective Actionunmatched
    • Customer Relationsunmatched
    • Customer Support/Serviceunmatched
    • Data Recoveryunmatched
    • Disaster Recoveryunmatched
    • Error Recoveryunmatched
    • Fleet Managementunmatched
    • Go Programming Language (Golang)unmatched
    • Incident Managementunmatched
    • Incident Responseunmatched
    • Information Retrievalunmatched
    • Information Technology & Information Systemsunmatched
    • Leadershipunmatched
    • Mentoringunmatched
    • Metricsunmatched
    • Microsoft Windows Azureunmatched
    • On Callunmatched
    • Operational Improvementunmatched
    • Operational Supportunmatched
    • Problem Solving Skillsunmatched
    • Product Engineeringunmatched
    • Product Supportunmatched
    • Production Supportunmatched
    • Production Systemsunmatched
    • Quality Managementunmatched
    • Reliability Engineeringunmatched
    • Reporting Dashboardsunmatched
    • Root Cause Analysisunmatched
    • Software Engineeringunmatched
    • Software Testingunmatched
    • Software as a Service (SaaS)unmatched
    • Technical Operationsunmatched
    • Technical Supportunmatched
    • Telemetryunmatched
    • Web Productionunmatched

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