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We are seeking a fully remote, Senior Open Source Infrastructure Engineer to join our team at Quansight. In this role, you will support Quansights growing cloud and on-premises infrastructure and help make them more reliable, scalable, and efficient. You will work with our team to address support issues from our clients and collaborators, explore emerging technologies in the Cloud and DevOps spaces, and design and implement cloud computing systems with the rest of our infrastructure team.
In this position, you'll get to Contribute to nebari (https://nebari.dev), an open source Data Science platform built on JupyterHub, Dask, and other tools from the PyData ecosystem. Nebari uses Terraform and Helm to deploy these tools to Kubernetes in multiple clouds and on premises. Participate in upstream open source communities we rely on (such as JupyterHub, BinderHub, Dask, etc.) in partnership with the established leaders of those communities. Deploy and ensure the reliable operation of Quansights and clients infrastructure under the direction of senior team members. Collaborate with a fully distributed team - team members are expected to communicate and collaborate proactively to allocate effort and maximize the teams impact. Position Requirements Required: Experience using infrastructure-as-code tooling such as Terraform, Pulumi, Cloudformation to deploy infrastructure. Experience running production workloads in at least one major cloud platform (AWS, Azure, GCP) Experience developing tools in a general purpose programming language (eg. Python). Experience building Continuous Integration and Continuous Delivery (CI/CD) pipelines using tools such as GitHub actions, Gitlab CI/CD, Circle CI, etc. Familiarity with modern software engineering practices including automated tests, code review, version control, observability, etc. Experience containerizing and deploying applications to platforms such as Kubernetes, AWS ECS, and Google Cloud Run. Comfortable working independently and reaching out for feedback and support as needed. Experience collaborating and coordinating work via online platforms, such as GitHub, GitLab, or BitBucket, and distributed revision control. Ability to constructively receive feedback.
While this is a remote position, we are looking for candidates with significant time overlap with US Central and Eastern time zones due to the location of many of our infrastructure team members and collaborators
Bonus points (not required, but these would be a great advantage) Experience working on geographically distributed teams. Experience working with or contributing to open-source projects. Exposure to the Python Data Science stack - Pandas, Numpy, Dask, etc. Experience with the Jupyter ecosystem and other tools for interactive computing. Experience with common data science methods, platforms, workflows, and infrastructures; with data management systems, practices, and standards; and the capacity to gain familiarity with new related topics. Experience with Machine Learning Operations (MLOps) platforms, workflows, and infrastructures and the capacity to gain familiarity with new related topics. Candidate journey Application: Once you have applied, a recruiter will review your application to determine if your work experience and skills align with the necessary competencies of this position. This recruiter will be in touch to schedule some time to connect if they determine that you could be a good fit for Quansight. HR interview: This is an opportunity to get to know each other. We will tell you a little more about who we are, and we look forward to hearing about your past experiences and what you are looking for in your next role. We want to know why you are interested in joining us and what questions you have about our team and mission. This will be scheduled as a 30-minute Google Meet. Interview loop: If you and your recruiter still feel you could be well-suited for this position following your call, we will arrange our interview loop with some team members. This will allow you to learn more about the team and the organization and for us to gain a deeper understanding of your skills and experience. For this particular role, the interview loop is as follows: Pre-Interview Assignment: Please choose one out of the three following options to complete prior to interviewing with our team. Take Home Assessment. We will share a github repository with you that includes instructions for an infrastructure related task. You will create a Pull Request (PR) for us to review that accomplishes the task as specified.Please only devote up to 4 hours on this assignment. Point us to a substantial, public, infrastructure related Pull Request that you have authored and come prepared for a code walkthrough during your interview Send us another infrastructure related codebase you have written and come prepared for a code walkthrough during your interview Technical interviews: we will schedule two separate interviews with Quansight team members (these will be potential teammates or cross-functional team members.) Hiring manager interview: in this one-hour interview, you will meet the hiring manager for this position. Questions in this interview will focus on your career, how you handle certain situations and your general approach to collaboration and work. We also factor in time for you to ask questions about the role and the organization.
Following the completion of all interviews, our hiring team will make a final decision, and the recruiter will be in touch to share the outcome of your interviews. If the team wants to move forward, the recruiter will discuss this and the details of our proposed offer with you.
We are seeking an innovative Director of Professional Services - Open Source with leadership experience and an understanding of the PyData ecosystem to join our team. You will manage and grow Quansight’s technical consulting business in a target domain.
Key Qualifications Deep technical expertise in at least one area: Numerical Computing Distributed & High-Performance Computing Infrastructure / Cloud Data Science / Machine Learning / AI MLOps Data Engineering Contributions to open source projects or participation in open source communities Experience in one or both of the following: Extensive track record in client management Experience leading technical project teams. What You will Do
As a Director of Professional Services - Open Source, your role will be a mix of project definition, solution architecture, sales engineering, technical leadership, and people management. You will be expected to interface with clients and translate their needs into technical solutions. You will typically oversee several projects with a diverse set of clients in different verticals.
Responsibilities Identify, scope, architect, resource, and oversee the delivery of large end-to-end projects for clients Collaborate with project managers and other staff members to develop timelines for solutions. Assess the systems architecture currently in place and work with technical staff to recommend solutions to improve it. Assess and evaluate risk as required. Consistently monitor the scope of projects. Understand how individual work fits into the broader organizational picture. Keep skills updated and remain proactively aware of happenings and current events in the industry. Mentor, educate, and train colleagues. Resolve technical problems as they arise. Inform various stakeholders about any problems with the current technical solutions being implemented. Provide updates to stakeholders on product development processes, costs, and budgets Qualifications 5+ years of work experience in a relevant role; ideally professional services/consulting Experience serving as a leader for the full life-cycle of projects from requirements gathering, and development, all the way through to implementation & roll-out. Expertise in one or more core technology areas: Numerical Computing, Distributed & High-Performance Computing, Infrastructure/Cloud, Data Science/Machine Learning/AI, MLOps, and Data Engineering. Excellent interpersonal communication skills and the ability to explain complex technical topics in an easily digestible manner. In-depth understanding of Python Strong organizational and leadership skills. Contributions to open source projects Prior consulting experience or experience working in a client-facing environment - a plus
Please keep in mind that we are describing the background we imagine would best fit the role. Even if you do not meet all of the requirements and are confident that you are up for the task, we want to get to know you!
Candidate Journey Application: Once you have applied, a recruiter will review your application to determine if your work experience and skills align with the necessary competencies of this position. This recruiter will be in touch to schedule some time to connect if they determine that you could be a good fit for Quansight. HR Interview: This is an opportunity to get to know each other. We will tell you a little more about who we are, and we look forward to hearing about your past experiences and what you are looking for in your next role. We want to know why you are interested in joining us and what questions you have about our team and mission. This will be scheduled as a 30-minute Google Meet. Interview Loop: If you and your recruiter still feel you could be well-suited for this position following your call, we will arrange our interview loop with some team members. This will allow you to learn more about the team and the organization and for us to gain a deeper understanding of your skills and experience. For this particular role, the interview loop is as follows: Technical Interview: This will be a 60-minute Google Meet with two of our Senior Software Engineers. We ask you to come ready to present code in one of the following areas where you have previous experience: Numerical Computing, Distributed & High-Performance Computing, Infrastructure/Cloud, Data Science/Machine Learning/AI, MLOps, and/or Data Engineering. After presenting your code for 20-30 minutes, our engineers will ask follow-up questions. Then you will have time to discuss the day-to-day of working at Quansight and ask any questions you may have for them. If you do not have public code, we will provide a technical assessment. Case Study Interview: This phase of the interview process will include one interview with up to four members of our leadership team. This interview will be 90 minutes long and held over Google Meet. You will be asked in advance to prepare a project proposal to present as the first part of the interview. You will have time for questions and answers as the second part of the interview. Our recruiter will share more details with you before the interview is scheduled. Final Leadership Interview: This will be a 60-minute Google Meet with our CTO and CEO to review the alignment of your professional goals and goals of the organization.
Following the completion of all interviews, our hiring team will make a final decision, and the recruiter will be in touch to share the outcome of your interviews. If the team wants to move forward, the recruiter will discuss this and the details of our proposed offer with you.