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Verified active · 3h ago

Staff Production Operations Engineer

Compensation

$180,000 - $190,000/year

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About the role

Redpanda is pioneering the Agentic Data Plane (ADP) - a new category in AI infrastructure that makes it simple and secure to connect AI agents with enterprise data and systems. Built on a multi-modal data streaming engine, Redpanda empowers agentic applications that reason and act in real-time with speed, autonomy, and precision.
Global leaders including Activision Blizzard, Cisco, Moody's, Texas Instruments, Vodafone and 2 of the top 5 banks in the U.S. rely on Redpanda to process hundreds of terabytes of data a day.
Backed by premier venture investors Lightspeed, GV and Haystack VC, Redpanda is a diverse, people-first organization with teams distributed around the globe.

About the Role:

We're looking for a Staff Production Operations Engineer to drive Redpanda's reliability operations program. This role combines hands-on site reliability engineering with planning and coordination skills to ensure a world-class operations practice across a globally distributed engineering team.

In this role, you'll work with the broader Engineering team, Engineering leadership, Product and Customer Success to drive operational excellence. You'll coordinate our on-call and incident lead rotations, drive blameless post-incident reviews, and own the processes that help us respond faster, learn more from outages, and systematically improve reliability. We're looking for someone who can leverage AI agents to automate the operational toil that slows teams down, building on Redpanda's own ADP platform to do it.

You Will:

  • Drive process improvements across the incident lifecycle: severity models, triage enforcement, alert noise reduction, and follow-up completion rates
  • Coordinate the on-call program across multiple geographies: manage schedules and shadow rotations, onboard new engineers, and ensure consistent coverage
  • Select incidents for post-incident review, facilitate blameless post-incident reviews, document findings, and track follow-up completion. Contribute to addressing incident follow-ups where possible, either by fixing issues directly or prototyping solutions
  • Build AI agents to automate operational toil, including oncall automation, as well as incident summarization, post-incident reviews prep, follow-up tracking, and on-call analytics
  • Maintain runbooks, playbooks, and incident process documentation, and keep them current as processes evolve

You Have:

  • 5+ years of experience in site reliability engineering, DevOps, or production operations in large-scale, highly reliable environments
  • A track record of leading initiatives end-to-end, from design and planning, to execution and production operation
  • Hands-on experience with incident management tooling (incident.io, PagerDuty, or similar) and observability stacks (Datadog, Grafana, Sentry, CloudWatch, or equivalent)
  • Strong Fluency with reliability concepts: MTTD, MTTR, MTTA, error budgets, SLOs
  • Experience building automation and tooling to reduce operational toil
  • Proficiency in Go (or comparable systems language with willingness to ramp)
  • Experience with AI-assisted software development workflows including tools like Claude Code
  • Working knowledge of at least one of AWS / Azure / GCP, including infrastructure as code for system and network infrastructure
  • Strong written communication; ability to drive alignment across engineering teams without direct authority

Nice to Have:

  • Hands-on experience building agents or automations using LLMs
  • Familiarity with Redpanda, Apache Kafka, or other streaming infrastructure
  • Prior experience in a fast-growing B2B infrastructure or developer tools company

U.S. base salary range for this role is $220,000 - $256,000 (CA, NY, WA) and $211,000 - $250,000 (other US locations). Our salary ranges are determined by role, level, and location. We strive to consider each candidate's job-related skills, location, experience, relevant education or training to determine individual base salary. Your talent partner will share more about the specific salary range for your preferred location during the hiring process.

Please note that Redpanda uses artificial intelligence (AI) technology to assist in the screening and assessment of applications for this position. However, all final hiring decisions are made by our human hiring team.

Vacancy Status: This job posting is for an existing vacancy.

Join Redpanda if you’d enjoy being part of a fast-moving, diverse, people-first organization with team members around the globe and a culture based on trust, transparency, communication, and kindness. You'll dive into a nimble, high-impact team with the latest AI tools — and the budget to actually use them.

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Aplyr's read

Redpanda Data offers a modern streaming data platform, attracting engineers focused on real-time data solutions and innovative cloud technologies.

Synthesized from recent postings & public sources

What's promising

  • Redpanda Data's platform is designed for high performance, appealing to engineers interested in cutting-edge data streaming.
  • The company is expanding its global presence, hiring roles in diverse locations like Poland and Austin, Texas.
  • Redpanda Data emphasizes innovation in AI and real-time data, attracting talent in these rapidly growing fields.

What to watch

  • Limited public information about Redpanda Data's long-term financial stability may concern risk-averse applicants.
  • The fast-paced nature of a startup may not suit those seeking stability and well-defined processes.
  • Potential applicants might find the niche focus on data streaming limiting if seeking broader tech exposure.

Why Redpanda Data

  • Redpanda Data's focus on agentic data planes sets it apart in the data streaming landscape.
  • The company's commitment to real-time data innovation attracts engineers passionate about cutting-edge technology.
  • Redpanda Data offers opportunities to work on AI advancements within the data streaming context, appealing to tech-forward professionals.

Aplyr’s read is generated by AI from public sources. Was it useful?

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