DevOps Engineer (m/f/d)

Work set-up: 
Full Remote
Contract: 
Full time
Experience: 
Mid-level (2-5 years)
Work from: 
Anywhere

Offer summary

Qualifications:

2+ years of professional experience as a DevOps Engineer, Proficient in AWS, Kubernetes, and relational databases like PostgreSQL, Experience with CI/CD pipelines and observability frameworks such as Grafana, Hands-on mentality with strong knowledge of agile development processes..

Key responsibilities:

  • Design, maintain, and improve the infrastructure for software delivery
  • Manage and monitor AWS instances and services
  • Implement and maintain CI/CD pipelines and a monitoring platform
  • Collaborate with software engineers and data teams to ensure scalable and secure development processes.

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World Data Lab Startup https://worlddata.io/
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Job description

ABOUT THE TEAM
World Data Lab (WDL) Tech team is building next-generation data analytics platforms for private sector clients, while also delivering data-driven solutions for sustainable development goals (SDGs). Our engineering team consists of skilled frontend and backend developers, data engineer, and QA specialist, all collaborating across borders to build resilient, scalable, and innovative data products. We work at the intersection of cloud infrastructure, software engineering, and data science - creating products that empower organizations to make high-impact, data-informed decisions.
As our technical landscape grows in complexity and scale, we’re seeking someone who can take ownership of our DevOps function - driving improvements, increasing system reliability, and embedding observability across our infrastructure.
ABOUT THE ROLE
We’re looking for a DevOps Engineer who will play a leading role in designing, maintaining, and improving our infrastructure. This is a hands-on position where you’ll be responsible for enabling fast, reliable software delivery and platform performance through automation, observability, and operational excellence.
You’ll work closely with software engineers, data engineers, and product team to ensure that our development processes are scalable, secure, and consistent. This role is ideal for someone who is eager to shape our DevOps practices, proactively identify areas for improvement, and lead infrastructure initiatives across multiple projects.
THE CHALLENGE
  • Implement and maintain CI/CD pipelines;
  • Actively manage and monitor all Cloud (AWS) instances and services;
  • Build and manage the AWS server infrastructure (including using kubernetes);
  • Implement and maintain a monitoring/metrics/logging platform for all WDL projects; 
  • Working on ways to automate and improve development and release processes;
  • Working with software engineers to ensure that development follows established processes and works as intended;
  • Planning projects and being involved in project management decisions.
  • Working with Data Engineers and Data Scientist on verifying and releasing data updates to our Data Products.
YOUR PROFILE
  • 2+ years of professional experience as a DevOps Engineer ;
  • Knowledge and experience in working with AWS, Github (actions), Kubernetes, and Relational DBS (PostgreSQL, ClickHouse) required; 
  • Knowledge and experience in working with Java(Spring) and Python is an advantage; 
  • Experience in working with Jira, Observability frameworks (ie Grafana) is considered an advantage;
  • Hands-on mentality;
  • Ability to work with a broad range of technical areas and leverage skill-sets within and across different teams;
  • Strong knowledge of agile development processes and current best practices;
  • Capacity to guide the development of complex projects that involve data scientists, product owners, and designers. Exposure to tools like Terraform/Terragrunt, CloudWatch, and Cloudflare
  • Familiarity with Redis, Amazon SQS, and AWS Cognito
  • A habit of writing clear technical documentation
OUR OFFER
  • State-of-the-art equipment and tools that help you to perform at your best
  • The opportunity to have an impact in a fast-growing and well-established big data SaaS scale-up
  • Flexible working hours with high acceptance of home office
  • Be part of a team of highly motivated and like-minded individuals
  • Great individual development- and growth opportunities
OUR RECRUITMENT PROCESS
  • Initial Screening: A quick chat with our People & Culture Manager to understand your background and expectations.
  • 1st Interview: Meet the hiring manager and showcase your real people skills.
  • 2nd Interview: Meet with the team and get to know our working culture personally. 
  • Final Steps: Receive feedback and, if successful, an offer!
We keep it simple and aim to wrap up the process within 3 weeks.
  
We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) – we believe skills evolve over time. If you’re willing to learn and grow with us, we invite you to join our team
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About us
World Data Lab (WDL), founded in 2014 in Vienna, Austria by visionary economic thought leaders and technologists, is a forward-thinking data science SaaS company on a mission of "Making Everyone Count." We are dedicated to revolutionizing how the world understands and leverages data, ensuring that every individual, organization, and community has access to the insights they need to thrive. By using state-of-the-art, peer-reviewed methodologies and artificial intelligence, we deliver the most accurate models and forecasts on global spending power and demographic trends. Our proprietary data models enable businesses, organizations, and the general public to make informed decisions—whether optimizing labor market policies or identifying emerging high-growth markets.
With a focus on creating meaningful impact, WDL’s leading products—including population.io, worldpoverty.io, worldhunger.io, and World Data Pro—have already reached millions worldwide, democratizing access to critical data. 

At World Data Lab, we are looking for talented, driven individuals who thrive in dynamic, fast-paced environments. If you're passionate about solving complex challenges and making a global impact, we want you on our team!

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

AWS Cloud ServicesCI/CDKubernetesObservabilityPostgreSQLJIRAPython (Programming Language)Amazon CloudWatchRedisAmazon CognitoGit (Version Control System)Java (Programming Language)TerraformCloudflareGrafana
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