Software Engineering Director

Robust Intelligence
San Francisco, CA, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Compensation
$210,000 - $240,000
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Microsoft Azure Continuous Integration DevOps Github Python (Programming Language) Systems Development Life Cycle Software Engineering Scripting Google Cloud Backend Kubernetes
+6 more
Information Technology Machine Learning Operations Terraform Software Version Control Docker Golang

Job description

  • Directly manage a development team focused on projects related to our Enterprise platforms on multiple clouds (AWS, GCP, and on-prem)
  • Work closely with Product Managers, ML/DevOps/devtest teams contributing to cross-functional projects, and help plan and scope future projects.
  • Establish development processes, continuous integration, and release processes. Drive execution in conjunction with the above teams to ensure that we are achieving product development milestones. Keep the team and exec team aligned on the execution progress.
  • Provide strong leadership to the engineering team, fostering a culture of collaboration, innovation, and continuous improvement.
  • Work with customers to understand their deployment needs and evolve our offering to better accommodate the needs.
  • Attract, recruit, hire, and develop a high-performing backend team. Help grow the team and help the career growth of the team members.

Requirements

  • 4+ years people management experience
  • Proven expertise in managing projects throughout the entire SDLC, delivering products to market on schedule, and ensuring feedback loops from customers into development
  • Experience managing infrastructure deployed to at least one of the major public cloud providers (AWS, GCP, Azure).
  • Proficiency in programming languages, scripting languages, version control systems, and continuous integration systems
  • Individuals who are eager to learn and take on new challenges.
  • Individuals with excellent oral and written communication skills.
  • Strong customer focus
  • MS in Computer Science or equivalent, * Industry experience with Kubernetes and Docker
  • Experience with Go, Python, Terraform, and Github.
  • ML and ML Ops experience

Benefits & conditions

$210,000 - $240,000 a year

Robust Intelligence (RI) is a people-first company. We offer an array of perks and benefits that ensure our employees’ health and well-being. With RI’s in-office company culture, we offer our employees free daily lunches and dinners (if you are working late), free snacks and beverages, commuter benefits, and an office gym.

Our leaders recognize that all of our employees are humans first. Employees at the company are parents, pet owners, siblings, and more. Hence, RI ensures that employees have the benefits and resources needed to spend time with their families and live a fulfilling life outside of work. Benefits include a flexible time off policy, paid parental/family leave, child care allowance, 401(k) retirement plan, and market-leading health, dental, and vision insurance for employees and dependents. We also have an education reimbursement program for individual learning. #J-18808-Ljbffr

About the company

Robust Intelligence builds products to ensure the safe deployment of AI systems. Our software is deployed as a service across all major cloud providers as well as to on-prem servers. Our clients’ Data scientists and ML Ops engineers are the first users of our product, and we strive to make their experience deploying our product as smooth as possible. At Robust Intelligence, you’ll have the power to influence our engineering culture and learn a lot about other parts of the company beyond your role, including robust machine learning and ML Ops.

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