ABOUT US:

Braintrust is a user-owned talent network that connects top-tier professionals with the world's leading enterprises. We prioritize transparency, eliminating middlemen and high markups, ensuring job-seekers are matched swiftly to innovative roles while clients benefit from unparalleled efficiency and quality.

ABOUT THE HIRING PROCESS:

The hiring process for this role involves completing your Braintrust profile, applying directly to the role on Braintrust, and undergoing a one-time screening to ensure you meet our vetted talent specifications. After this, the hiring team will contact you directly if they believe you are a suitable match.

Our process isn't for everyone, that's intentional. If you believe that you are a top candidate for this job, please join our network to give yourself the opportunity to work with top companies.

 

  • JOB TYPE: Freelance, Contract Position (no agencies/C2C - see notes below)
  • LOCATION: Remote - United States only - Any time
  • HOURLY RANGE: Our client is looking to pay $100-$113/hr
  • ESTIMATED DURATION: 40h/week - Long term
  • BRAINTRUST JOB ID: 9792

 

THE OPPORTUNITY

Requirements

Senior Site Reliability Engineer, ML SRE

Company Description

Our client is a global marketplace for unique and creative goods. They build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an employee whether you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.

Job Description

The ML SRE team supports the  infrastructure  and provides a developer-focused, scalable, and reliable infrastructure to develop and deploy ML services seamlessly.

What you’ll be working on

Qualifications:

About the Role

  • Design, build and support the core infrastructure used by all ML services, including on-call production support rotations.
  • Work cross-functionally with various platform teams, ML teams and product partners to build the next generation of our high availability ML services in the cloud.
  • Build and maintain observability and test tooling - logging, monitoring, distributed tracing, alerting and offline test tools needed.
  • Practice continuous learning and agile delivery model to stay informed and focused on our deliverables.
  • Support GKE services and maintenance that includes software upgrades, performance tuning and GKE cluster tuning and optimization.
  • Build GKE Tooling and automate deployments.

About You

  • You have solid engineering and coding skills, data structure knowledge and ability to write high performance production quality code.
  • You have experience working with languages like Java, Scala, Python, Go or other equivalent languages.
  • You are a strong collaborator and communicator and you make the engineers around you grow and learn.
  • You have fundamental experience with infrastructure engineering and strong troubleshooting skills.
  • You have solid background and hands-on experience with Cloud technologies either Google Cloud or AWS. 
  • Experience with search technologies such as Lucene/Solr or Elasticsearch is a plus.
  • Experience with supporting ML Services is a plus.
  • Experience with Kubernetes and Docker is a plus.
  • Experience with Unix/Linux operating systems and networking stack (e.g., TCP/IP, routing, network topologies and hardware, SDN) is a plus.
  • Experience with Grafana is a plus.

Apply Now!

Notes:

Our employers all have varying legal and geographic requirements for their roles, they trust Braintrust to find them the talent that meet their unique specifications. For that reason, this role is not available to C2C candidates working with an agency. If you are a professional contractor who has created an LLC/corp around their consulting practice, this is well aligned with Braintrust and we’d welcome your application.

Braintrust values the multitude of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status.

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