Role: Sr. DevOps Engineer - Distro
Reports to: Director of Infrastructure
Department: Engineering
Location: US- Remote
Job Type: Full Time, Exempt
Help us Deliver Technology for Human Sensemaking
Anaconda is the world's most popular data science platform. With more than 21 million users, the open source Anaconda Distribution is the easiest way to do data science and machine learning. We pioneered the use of Python for data science, champion its vibrant community, and continue to steward open-source projects that make tomorrow's innovations possible. Our enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness the power of open source for competitive advantage and groundbreaking research.
Anaconda is seeking people who want to play a role in shaping the future of enterprise machine learning, and data science. Candidates should be knowledgeable and capable, but always eager to learn more and to teach others. Overall, we strive to create a culture of ability and humility and an environment that is both relaxed and focused. We stress empathy and collaboration with our customers, open-source users, and each other.
Here is why people love most about working here: We're not just a company, we're part of a movement. Our dedicated employees and user community are democratizing data science and creating and promoting open-source technologies for a better world, and our commercial offerings make it possible for enterprise users to leverage the most innovative output from open source in a secure, governed way.
Summary
Anaconda is seeking a talented Sr. DevOps Engineer to join our rapidly-growing company. This is an excellent opportunity for you to leverage your skills and apply it to the world of data science and machine learning.
What You'll Do:
Reports to: Director of Infrastructure
Department: Engineering
Location: US- Remote
Job Type: Full Time, Exempt
Help us Deliver Technology for Human Sensemaking
Anaconda is the world's most popular data science platform. With more than 21 million users, the open source Anaconda Distribution is the easiest way to do data science and machine learning. We pioneered the use of Python for data science, champion its vibrant community, and continue to steward open-source projects that make tomorrow's innovations possible. Our enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness the power of open source for competitive advantage and groundbreaking research.
Anaconda is seeking people who want to play a role in shaping the future of enterprise machine learning, and data science. Candidates should be knowledgeable and capable, but always eager to learn more and to teach others. Overall, we strive to create a culture of ability and humility and an environment that is both relaxed and focused. We stress empathy and collaboration with our customers, open-source users, and each other.
Here is why people love most about working here: We're not just a company, we're part of a movement. Our dedicated employees and user community are democratizing data science and creating and promoting open-source technologies for a better world, and our commercial offerings make it possible for enterprise users to leverage the most innovative output from open source in a secure, governed way.
Summary
Anaconda is seeking a talented Sr. DevOps Engineer to join our rapidly-growing company. This is an excellent opportunity for you to leverage your skills and apply it to the world of data science and machine learning.
What You'll Do:
- Be a key member of the Anaconda Package team
- Attend daily SCRUM meetings, sprint demos, etc.
- Work with other teams to coordinate joint deliverables
- Work with QA team to ensure highest level of product quality
- Create and maintain software documentation
- Other duties as needed
- 5 years minimum in a System Engineering or Backend Engineering role
- GitOps mindset with a desire to automate everything
- Deep Linux system administrator knowledge
- Knowledge base with Windows (automating)
- Deep understanding of core AWS services (IAM, EC2, VPC, EKS)
- Experience with IaC tools (Terraform, Ansible)
- Solid understanding of different compute architectures and operating systems
- Experience with package lifecycle management
- Experience building and managing CI/CD pipelines (Jenkins, GitHub Actions)
- Relevant programming experience with Python or Go
- Experience working in a fast-paced startup environment
- Experience running Hashicorp Vault in production
- Experience with GitOps tools like ArgoCD
- Experience working in a open source or data science-oriented company
- Unique opportunity to translate strong open source adoption and user enthusiasm into commercial product growth
- Dynamic company that rewards high performers
- On the cutting edge of enterprise application of data science, machine learning and AI
- Collaborative team environment that values multiple perspectives and clear thinking
- Employees-first culture
- Flexible Working Hours
- Medical, Dental, Vision, HSA, Life and 401K
- Health fitness membership or reimbursement
- Paid parental leave - both mothers and fathers
- Pre-IPO stock options
- Open vacation policy