DevOps Engineer
Remote (East Coast Hours)

Location

This is a remote position that requires at least six of the regular 8 working hours each day to fall between 9am to 6pm Eastern Standard Time. (During the COVID-19 pandemic, we’re offering flexible scheduling to staff as they manage life demands like childcare alongside their jobs.)

Salary Range

$90,000 - $120,000 annual salary

Actual salary from the range above will be based on the candidate’s experience and internal salary equity scan of active employee(s) with similar role and experience.

About DataKind

DataKind is a global nonprofit dedicated to harnessing the power of data science and artificial intelligence (AI) in the service of humanity. Named one of Fast Company's 2017 top 10 innovative nonprofits, DataKind teams talented pro bono experts from academia and industry with visionary changemakers to collaboratively design innovative solutions to tough social challenges. We help social organizations apply their data to predictive analytics, machine learning algorithms, and AI needs in a way that both increases impact and prioritizes ethics.

  • We’re 20,000 strong: DataKind volunteers hail from almost every country across the world, representing a community of technologists and social changemakers who believe in using data science and AI for a stronger planet and a more just and prosperous world.
  • We have served 350+ projects around the world: From using satellite imagery to measure crop yields to automating the fight against hate speech online, our volunteer community has shown up to support a range of humanitarian needs around the world. Through this approach, illustrating what we call “the art of the possible,” these projects have resulted in more effective NGOs, more funding for social change organizations, and more awareness of the power (and pitfalls) of data science and AI in the social sector. 
  • People are at the center of our process: The most advanced machine learning algorithms are useless if they’re not designed for real people’s problems. DataKind celebrates human-centered design principles that focus on the “why,” the “for whom,” and the “should we” long before we ever get going on the “what.”
  • “AI for Good” will only succeed if it’s “AI for All”: We’ll continue our work until all people and all communities can use digital technology for the outcomes they want to see. We support not just the tech communities of today, but anyone in any community who wants to lead in how data technologies serve their needs fairly, with an emphasis on including individuals from groups that are historically underrepresented in technology or will be impacted by the intervention. 

DataKind has always known that we’ll not be able to combat all of the world’s looming challenges on the backs of individual, short-term projects alone. We’re now focusing the DataKind network on issue areas, including improving health outcomes and increasing economic resilience for all. You can read more about our strategy here.

About the Opportunity 

Reporting to the Director of Technology, you will support multiple simultaneous data science project teams, standing up development and production cloud computing environments. You will be responsible for multiple cloud infrastructures and systems and their utilization, deployment, security, automation, testing and monitoring. Working with our small but agile Technology team, you will be responsible for maintenance, troubleshooting and improving of our existing cloud infrastructures, AWS, Azure, and GCP. Your role will encompass the use of a broad range of tools and technologies including products that support emerging AI/ML systems.

In this role, you’ll work closely with our Product team and volunteer data scientists, as well as our Operations and Global Volunteers teams.

What You’ll Do 

The DevOps engineer will be responsible for Data Science Product and Internal Tooling DevOps Support, in addition to any other projects assigned by the manager:

  • Work with staff and volunteer data science teams to understand and gather their cloud computing needs, develop requirements, and deploy development and production environments and pipelines.
  • Be responsible for managing software releases, configuration, monitoring and support of all production systems.
  • Manage pro bono professional service engagements and cloud contractors.
  • Troubleshoot technical or functional issues in a complex data science cloud environment to provide timely resolution, with various applications and platforms that are supported by globally distributed teams.
  • Lead day-to-day tech project operations and activities while ensuring work is progressing as planned.
  • Bring a passion to stay on top of DevOps trends, experiment with and learn new AI/ML technologies.
  • Communicate and manage expectations of project teams, partner organizations, and global volunteers throughout the entire project life cycle. 
  • Meet weekly with the product teams to provide detailed status updates on key cloud computing projects and workstreams.

Who You Are

  • You are an experienced cloud DevOps engineer. You have a proven track record of successfully supporting full life-cycle tech projects in cloud computing environments, and love nothing more than successfully getting a project from the start line to the finish line. You have experience managing technical deliverables in either the volunteer, non-profit or tech spaces (or perhaps all three.) You are comfortable breaking complex problems down to bite-sized deliverables. You identify problems early and are proactive about creating solutions. And you have stellar relationship management and communication skills.
  • You are a technical problem solver. You can understand the language of project teams and translate it into technical requirements, and vice versa.  You know how to put technology to task and excel in standing up development and production environments with multiple product teams. You enjoy contributing creatively and analytically in a problem-solving environment.
  • You are a self-starter and get stuff done. Whether it’s on your own or through others, your experience, transparency, and organization allows you to get the nuts and bolts in place in record time, always with support and input from the rest of the organization. You are able to work independently with some guidance from your manager. 
  • You bring people together.  You know how to build buy-in from a variety of stakeholders, ensuring they have shared understanding of decisions and deliverables.  You have time-tested strategies in your toolkit to produce reliable development and production environments that support consistent successful results. 
  • You are values-aligned and understand the bigger picture. You share DataKind’s values of humility, transparency, DEI (diversity, equity, and inclusion), thoughtfulness, excellence, and approachability. You care about more than just completing your projects. and our product.

How You’ll be Measured

At the end of Year One, the DevOps Engineer will have accomplished the following:

  • Modernized DataKind’s existing cloud development and production environments, ensuring they are reliable, secure, efficient and monitored. 
  • Supported a minimum of ten data science projects through the end-to-end project process, ensured cloud computing resources have strengthened their work and not inhibited it.
  • Worked with the DataKind technology team, evaluated our technology systems and created and executed a work plan that creates interoperability, redundancy, security and efficiency.
  • Timely and proactively communicated with staff and volunteer product teams such that the teams were able to count on having reliable environments ready to use for each stage of their product lifecycle.

Qualifications 

  • Alignment with DataKind mission and values, including our commitment to anti-racism.
  • 3-5 years of work experience; at least 3 years of cloud based DevOps Engineering experience (AWS, Azure, GPC).
  • Experience managing data science projects with a strong preference for working with a multi-site workforce. 
  • Strong preference for experience managing professional services and cloud contractor engagements (AWS Professional Services, Azure Preferred Partners.)
  • Experience with modern source code management and software repository systems (Git, Bitbucket).
  • 3-5 years of experience with any programming language, such as Java, Python or PHP.
  • Experience in Linux and Windows OS administration and troubleshooting.
  • Experience with container technologies such as Docker.
  • Solid understanding of Software Engineering and Computer Science principles.
  • Able to work occasional nights and weekends for meetings or events with our global community of partners and volunteers. 

Why Work with DataKind

At DataKind, we believe that people are the most important asset to delivering on our mission to collaboratively design data-driven, innovative solutions to tough social challenges. Working with us means that you will have:

  • Flexibility in your working schedule. This includes flexing your schedule, ending your workday early or starting late to care for kids or to walk your dog, etc. It also includes a bi-weekly “Flex Friday,” or shared focused day where no internal meetings are scheduled and staff can dedicate time for writing and other focused required tasks.
  • Generous leave policies: Paid Parental Leave, 14 paid holidays annually and unlimited PTO!
  • Access to an outstanding health plan. We pay 100% of medical, vision, and dental benefits for employees and 70% for spouse and dependent coverage.
  • Support to plan for your future. We offer a 401(k) plan and match employee contributions up to 5% of the annual salary.
  • Opportunities to learn and grow. Each year, we budget funds for each staff person to access ongoing professional development support.
  • Wellness Reimbursement Program. A wellness program that gives employees the ability to request reimbursement for wellness and lifestyle purchases that are meaningful to them like bikeshare/gym memberships, home workout equipment, or home office wifi service.
  • DEI commitment. DataKind is committed to a diverse, equitable and inclusive work environment in both our day-to-day work and via special initiatives that are driven by our DEI Steering Committee.
  • To Apply

    Interested candidates should submit a resume and cover letter detailing their interest in our mission and qualifications for the position here.

     

    DataKind is an Equal Opportunity Employer

    DataKind is an equal opportunity employer and strongly encourages candidates from underrepresented groups in tech to apply. DataKind does not discriminate on the basis of race, color, gender, disability, religion, national origin, age, sexual orientation, genetic information, pregnancy, or any other protected category. 

    Applicants must be currently authorized to work in the United States on a full-time basis.