Software Engineer, Kubernetes at Redpanda Data

United Kingdom

Redpanda Data Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, AI Infrastructure, Data StreamingIndustries

Requirements

  • Passion for working on deeply technical projects and wanting to work on distributed systems, concurrency & parallelism, and correctness
  • Strong understanding of Go and Kubernetes
  • Experience and comfortable working with a 100% distributed engineering team, collaborating on GitHub, in the open and a self-starter
  • Passion to grow a culture of written tradition
  • Comfort working within a small team and 100% distributed engineering org collaborating on GitHub, JIRA, Slack, and video meetings
  • Excellent communication and interpersonal skills, capable of engaging with stakeholders at all levels of the organization
  • Professional fluency in English (written and verbal) for collaboration with our English-speaking team
  • Working knowledge of building Kubernetes operators for storage systems (highlighted if applicable)
  • Experience building a SaaS platform (highlighted if applicable)
  • Operated and used streaming platforms either as a user or provider (highlighted if applicable)

Responsibilities

  • Contribute to our Kubernetes operator and Helm chart, both internally and for customers and members of our community
  • Be an expert at all things Kubernetes, influencing designs and implementations of Redpanda running over both managed and unmanaged Kubernetes
  • Contribute meaningfully to the test coverage of operator
  • 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

Skills

Go
Kubernetes
Helm
Distributed Systems
GitHub
Operators

Redpanda Data

Cost-effective streaming data platform

About Redpanda Data

Redpanda offers a data streaming platform that simplifies the use of Kafka APIs, making it easier for businesses to process real-time data. It can be accessed as a fully-managed cloud service or through self-hosting, providing flexibility for users. The platform significantly reduces infrastructure costs and improves performance, claiming to lower expenses by six times while enhancing latencies and throughput. Redpanda aims to be a cost-effective and user-friendly alternative to traditional data streaming solutions, with a focus on environmental sustainability and data security.

San Francisco, CaliforniaHeadquarters
2019Year Founded
$161MTotal Funding
SERIES_CCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
51-200Employees

Benefits

Remote Work Options
Flexible Work Hours

Risks

Increased competition from new Kafka-compatible solutions could erode Redpanda's market share.
Integration challenges from the Benthos acquisition may disrupt service delivery.
Reliance on BYOC model exposes Redpanda to risks from varying cloud provider policies.

Differentiation

Redpanda offers a Kafka API-compatible platform with reduced complexity and cost.
The platform supports both fully-managed cloud service and self-hosted deployment options.
Redpanda's environmentally friendly design reduces compute, storage, and bandwidth consumption.

Upsides

Redpanda's acquisition of Benthos enhances its platform with advanced stream processing features.
The partnership with Ockam positions Redpanda as a leader in secure data streaming.
Redpanda Serverless offers a flexible, pay-as-you-go model appealing to startups and small businesses.

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