Job Description
Data Friendly Space, a leading non-profit organization developing IT solutions for the humanitarian sector, seeks a passionate and collaborative DevOps Engineer to join its dynamic Dev team. You will play a pivotal role in building and maintaining reliable and scalable infrastructure for our critical applications, streamlining software delivery pipelines, and fostering a culture of collaboration between development and operations.
Roles and Responsibilities:
- Infrastructure Management:
- Design, implement, and manage secure and scalable cloud infrastructure (e.g., AWS, GCP) for development, staging, and production environments.
- Automate infrastructure provisioning and configuration using Infrastructure as Code (IaC) tools (e.g., Terraform)
- Implement Continuous Integration and Continuous Delivery (CI/CD) pipelines using tools like Jenkins or GitLab CI/CD.
- Monitor and maintain infrastructure health and performance, proactively identifying and resolving issues.
- Deployment and Release Management:
- Collaborate with developers to automate deployments of software applications across environments.
- Implement rollback and disaster recovery strategies.
- Monitor deployments for errors and performance issues, taking corrective action as needed.
- Automation and Tooling:
- Develop and implement automation scripts for routine tasks, including infrastructure provisioning, configuration management, and deployments.
- Research and evaluate new DevOps tools and technologies to improve team efficiency.
- Contribute to the continuous improvement of CI/CD pipelines and infrastructure automation.
- Collaboration and Communication:
- Work closely with developers, data engineers, and ML engineers to understand their needs and requirements.
- Foster a culture of collaboration and communication between development and operations teams.
- Effectively communicate technical information to both technical and non-technical stakeholders.
What we are looking for in you:
- Essential Skills and Experience:
- 2+ years of experience as a DevOps Engineer or a related role.
- Strong understanding of DevOps principles and practices.
- Proficiency in cloud platforms (AWS or GCP preferred).
- Experience with Infrastructure as Code (IaC) tools like Terraform.
- Expertise in CI/CD pipelines and tooling (Jenkins, Github Actions CI/CD preferred).
- Experience working with containerization technologies like Docker and Kubernetes.
- Scripting skills (Bash, Python, etc.).
- Excellent communication and collaboration skills.
- Ability to work independently and as part of a team.
- Passion for building and maintaining reliable and scalable systems.
- Experience proposing server and managed service requirements, with an eye for balancing cost vs performance.
- An understanding for the significance of meta-tasks, such as documentation, infrastructure load testing, etc.
- Desirable Skills and Experience:
- Experience with monitoring and logging tools (Prometheus, Grafana, etc.).
- Preferred experience in MLOps
- Experience with security best practices in cloud environments.
- Knowledge of data engineering and NLP technologies (a plus).
- Experience managing organizational access control (IAM)
- Values and Culture Fit:
- Commitment to Data Friendly Space’s mission of utilizing technology for humanitarian good.
- Passion for collaborative problem-solving and continuous improvement.
- A mindset to implement robust infrastructural engineering models, taking future proofing into consideration (scalability, security, engineering best practices, etc)
- Strong work ethic and ability to manage multiple priorities.
- Adaptability and willingness to learn new technologies.
Start Date: Immediate
End date: June 30th, 2024; with possible extension
Workload: Full-time (100%)
Compensation: $2,000 per month
Language Skills: Proficient in written and spoken English.
Additional Information:
This is a remote position, offering flexibility to work from any location worldwide.
About Us
Data Friendly Space (DFS) is a 501(c)(3) global non-profit organization with guiding principle to improve information management and analysis capacity, tools, and processes in the humanitarian and development community to enable better informed and more targeted assistance.
DFS staff is composed of experts from the humanitarian information management and analysis field who specialize in real-time secondary data review and build humanitarian applications that support the fast extraction of information from large volumes of unstructured data.
DFS also focuses on the creation of data-centric web applications, websites, and mobile applications to support humanitarian organizations. When building software, DFS focuses on the intersection between data automation processes powered by Artificial intelligence and human knowledge and skills, in particular when one can help the other to execute the analysis.
Our Values:
We are user-driven: Our digital tools are designed with the end-users in mind. We prioritise relevance and usability for organisations working in complex and low-resource environments and actively engage decision-makers to ensure that our initiatives align with organisations’ capacities and resources.
We take an ecosystem-first approach: We believe in the catalytic and transformative potential of multi stakeholder partnerships and therefore we cultivate ecosystems of like-minded organisations seeking to foster collaboration and knowledge sharing.
We are adaptable and agile: Our approach is tailored to the unique needs and intricacies of each partner and individual context. We remain flexible to ensure that our tools and services effectively address the diverse challenges of our partners.
How to apply
To Apply
Please note that this position is filled on a rolling basis, and we will close the vacancy
once we receive a sufficient number of qualified candidates or find the ideal candidate.
To ensure your consideration, we strongly encourage interested individuals to submit
their applications promptly.
Apply Before: January 21st, 2024
Application Documents: https://app.smartsheet.com/b/form/860c0697b309406797c89d963aca7ec9
To apply, kindly complete the form and upload both your CV and motivation letter.
Thank you for your interest in the position at DFS.