Redpanda Data Logo

Senior Software Engineer, Connectors

💰 $172k-$235k

Job Description

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 are continuing to invest and grow our Go-based Connector team at Redpanda. We are looking for a Software Engineer who is up for the challenge to not only build the systems and to lift Redpanda into the public cloud space, but also shape the technical culture that creates these systems. In this role, you will focus on developing and maintaining our Connector ecosystem, with an emphasis on open source development. You will collaborate closely with our Cloud and Core engineering teams to build robust and scalable systems, with an emphasis on stability and safe upgrades with zero downtime.

You Will:

  • Contribute to our Connect codebases
  • Design new AI solutions to evolve how end-users work with streaming data
  • Participate in an on-call escalation chain, help drive down problems that lead to on-call escalations, and help drive improving on-call quality of life
  • Work with all engineering teams for deploying services across all of our supported clouds
  • Make resilience and observability integral to the system, enabling us to run a managed, cloud-based streaming-as-a-service with >99.9% uptime
  • Build & design Redpanda’s connect-in-the-cloud infrastructure with reliability and performance in mind

You Have:

  • Passion for working on deeply technical projects and wanting to work on distributed systems, concurrency & parallelism, and correctness
  • Strong understanding and experience of Go
  • Experience with how best to use AI, and a recognition of its limitations
  • Knowledge of at least one: AWS, Azure, GCP
  • An understanding of stream processing
  • Experience and are comfortable working with a 100% distributed engineering team, collaborating on GitHub, in the open and a self-starter
  • Comfort working within a small team and 100% distributed engineering org collaborating on GitHub, JIRA, Slack, Confluence and video meetings
  • Excellent communication and interpersonal skills, capable of engaging with stakeholders at all levels of the organization

Nice to have:

  • Working knowledge of working on, using, and extending Kubernetes helm charts
  • Experience building a SaaS platform
  • Experience operating and using streaming platforms either as a user or provider
  • Cloud engineering experience
  • UI experience

U.S. base salary range for this role is $172,000 - $235,000 (CA, NY, WA) and  $164,000 - $229,000 (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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