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System DEvelopment Engineer, Automation, RTS-Solution Performance & Automation

Amazon.com Inc

  • North Reading, MA
  • 3 days ago

    Highlights

    Be active in engineering and operational review mechanisms including code reviews, operational readiness reviews (ORRs), correction-of-errors (COEs), and post-incident analyses; use these mechanisms to drive resilience improvements and to coach peers. Build and operate production monitoring services that evaluate robotics telemetry and performance signals for AR solutions, and trigger defined mechanisms (e.g., Andon, escalation, incident workflows) when conditions degrade.

    Numbers & Facts

    LocationNorth Reading, MA
    IndustryRetail
    Company Size10,000 employees or more
    Year Founded1994
    Websitehttp://Amazon.com/militaryroles

    Description

    Amazon Robotics is seeking a System Development Engineer to join the Solution Performance & Automation (SPA) team in Robotics Technical Services (RTS) organization. SPA owns closed-loop network monitoring mechanisms: we define governed performance signals (what "good" looks like), standardize operational monitoring, and build scalable automation that converts signals into action (Andon, escalation, and operational workflows). You will build production monitoring and automation systems that make detection faster, response more consistent, and operations less manual. You will work within a well-understood strategy (Robotics Technical Services organization), and work in close collaboration with field teams to design and implement the monitoring systems, integrations, and mechanisms required to execute it at scale.

    Key job responsibilities

    Build and operate production monitoring services that evaluate robotics telemetry and performance signals for AR solutions, and trigger defined mechanisms (e.g., Andon, escalation, incident workflows) when conditions degrade.

    Implement signal evaluation and automation frameworks that are reusable across solutions; default to "build once, standardize, reuse everywhere" and document exceptions with rationale.

    Develop closed-loop operational automation including incident creation, routing, enrichment, and escalation integration with partner systems; reduce manual triage and repeated investigative effort.

    Improve signal quality and operator trust by reducing false positives/alert noise, tuning mechanisms, and instrumenting measurement for alert precision and operational outcomes.

    Build internal tooling that accelerates investigation and diagnosis for field/support stakeholders (explainability views, diagnostics tooling, guided triage workflows), grounded in "mechanisms over dashboards."

    Own the end-to-end lifecycle of your services (design, implementation, testing, deployment, operations). When systems fail, ensure contributing causes are identified and eliminated with permanent fixes, not just mitigations.

    Be active in engineering and operational review mechanisms including code reviews, operational readiness reviews (ORRs), correction-of-errors (COEs), and post-incident analyses; use these mechanisms to drive resilience improvements and to coach peers.

    Balance constraints and explicitly manage short-term workarounds: avoid them where possible, replace them with long-term solutions, or escalate over-use when it creates systemic risk.

    Partner with Data Engineering on pipeline SLAs and reliability. Coordinate with solution/product engineering and field stakeholders through defined interfaces.

    Produce clear, accurate, inclusive documentation (technical runbooks, playbooks, operational procedures, and design notes) so systems and artifacts can be maintained and extended by engineers unfamiliar with them.

    About the team

    Solution Performance & Automation (SPA) is RTS's dedicated team for network monitoring mechanisms and automation across AR solutions. We provide a single, governed point of ownership for performance definitions, operational monitoring standards, and cross-team adoption. We build closed-loop monitoring mechanisms that define signals, automate Andon and escalation, and enable support scale through faster, informed decision-making.

    About Company

    At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

    Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

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