Position: Site Reliability Engineer
Company: Data Science UA
Category: DevOps
Experience required: 5y
English level: upper

Our client is backed by NASA, Amazon, USC, and another value-add Silicon Valley and global investors, and they are already working with major manufacturers such as Nokia & Airbus. The company has a family-like working atmosphere, 300-feet underwater job intensity, and is operated under strong values and professional standards. This company has just raised our Series A and is seeking to expand our founder’s team with the first batch of adventurous and talented Pioneers. If what you read here resonates with you... please reach out.

About You:
You strive under uncertainty and enjoy breaking down challenging problems into smaller solvable pieces. You have spent an extensive amount of time building production software by collaborating with high-performing technical teams and have been part of numerous product life cycles from ideation to production. Furthermore, you have developed a strong skill set and intuition in proposing unprecedented & ambitious, yet efficient and effective solutions to technical problems. Also, you will work closely with the founding team and will have a great impact on the direction of the products and the company.

Role:
- You will be responsible for building and managing the Site Reliability Engineering team, which deploys and maintains ML platforms and systems.
- This role involves planning, analyzing, and troubleshooting high availability, reliability, and scalability ML operations.
- You will be responsible for building software and tools to monitor and manage the ML platforms and systems, infrastructure, and services.

Requirements:
- Minimum of a Bachelor’s Degree in Computer Science or related field involving software development or systems engineering.
- 5+ years of industry experience in DevOps and site reliability.
- Familiarity with ML methods and ML operations.
- Expertise in analyzing and troubleshooting distributed systems.
- Strong understanding of routine tasks automation, CI/CD methods, and techniques.
- Programming experience with at least one language such as Golang, Python, C / C++, and/or Shell.
- Experience with GitHub.
- Familiarity with Datadog.
- Experience with Kubernetes.
- Familiarity with AWS SAM.

Additional nice-to-have skills:
- AWS Code Deploy.
- AWS Code Artifact.
- AWS Cloud Formation.

Why Join our client’s company:
- You will play a critical role in crafting the future of the company, as well as the future of Artificial Intelligence and of manufacturing tech.
- You will make a personal contribution to developing highly advanced technology.
- Competitive compensation package with relevant upside potential.
- Our client’s company values flexibility and understands the importance of family and personal commitments.
- Everyone in the company has a healthy dose of humility and a positive attitude.