Staff Production Operations Engineer in United States at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Production Operations Engineer based in United States.

This role sits at the intersection of reliability engineering, automation, and operational excellence, supporting large-scale distributed systems that process high volumes of real-time data.
You will be responsible for improving system reliability, streamlining incident management workflows, and building automation that reduces operational overhead across engineering teams.
The position plays a key role in shaping how incidents are detected, managed, and learned from, ensuring faster resolution and continuous improvement across production environments.
You will collaborate closely with engineering, product, and customer-facing teams to maintain high availability and performance standards across global systems.
A strong emphasis is placed on leveraging AI-driven tooling to automate repetitive operational tasks and enhance incident response efficiency.
This is a high-impact role ideal for someone who thrives in fast-paced infrastructure environments and enjoys combining SRE discipline with automation and tooling innovation.

• Drive end-to-end improvements across the incident lifecycle, including alerting quality, severity classification, triage processes, and post-incident follow-ups.
• Coordinate on-call programs across distributed teams, including scheduling, onboarding, and ensuring consistent operational coverage.
• Lead incident reviews, identify root causes, and ensure actionable follow-ups are tracked and completed effectively.
• Build and deploy automation and AI-driven agents to reduce operational toil, including incident summarization and on-call optimization.
• Maintain and evolve runbooks, playbooks, and operational documentation to reflect current system behavior and best practices.
• Partner with engineering and product teams to improve system observability, reliability metrics, and operational readiness.
• Contribute directly to incident resolution when needed by debugging, prototyping fixes, or implementing mitigation strategies.
• Improve monitoring, alerting, and observability systems to reduce noise and increase signal quality across production environments.

Requirements:

• 5+ years of experience in Site Reliability Engineering, DevOps, or Production Operations in large-scale distributed environments.
• Strong experience with incident management platforms such as PagerDuty, incident.io, or similar tools.
• Hands-on expertise with observability stacks including Datadog, Grafana, CloudWatch, Sentry, or equivalents.
• Strong understanding of reliability engineering principles such as SLOs, SLIs, MTTR, MTTA, and error budgets.
• Experience building automation, tooling, or systems to reduce operational toil and improve engineering efficiency.
• Proficiency in Go or another systems programming language with the ability to contribute to production codebases.
• Familiarity with cloud environments (AWS, Azure, or GCP) and infrastructure-as-code practices.
• Experience leveraging AI-assisted development tools to improve workflows and operational processes.
• Strong written communication skills with the ability to coordinate across teams without direct authority.
• Nice to have: experience building AI agents, working with streaming systems like Kafka or Redpanda, or experience in high-scale infrastructure environments.

Benefits:

• Competitive compensation aligned with senior infrastructure engineering roles in the US market
• Equity participation in a high-growth, innovation-driven technology company
• Remote-first work environment across the United States
• Comprehensive medical, dental, and vision insurance coverage
• Flexible paid time off and paid holidays
• Strong emphasis on engineering autonomy, tooling, and modern AI-driven workflows
• Opportunity to work on large-scale distributed systems and real-time data infrastructure
• Professional growth in a fast-moving, globally distributed engineering organization