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SD Solutions

SD Solutions

Role overview

Qualifications

  • 5+ years of experience as a DevOps Engineer in a production Linux environment
  • Hands-on experience with containers and Kubernetes
  • Good understanding of distributed and data systems
  • Good Python scripting experience

Responsibilities

  • Build, operate, and scale containerized data infrastructure on Kubernetes and/or Linux-based systems
  • Write automation and tooling in Python
  • Improve reliability, observability, and performance across distributed systems

About the company

SD Solutions logo

SD Solutions

Staffing & Recruiting

SD Solutions is a Scaling Partner focused on end-to-end staffing services and consulting, providing tech companies with strategic solutions for global growth needs. The company offers a transparent business model, where the Scaling Partner covers all back-office operations: payroll, legal entity, IT infrastructure, HR management and talent acquisition. It allows businesses to scale staff in the most efficient way - time and cost-wise. There 40+ customers from the USA, Canada, UK and Israel who chose SD Solutions to: -Build integrated branches and R&D centres in Europe and Latin America. -Outsource business processes (Data Unit, Customer Support Studio, QA, DevOp/MLOps, SDR and Marketing Centers) -Hire a contractor abroad (EoR) -Grow fast with a Start-up scaling program SD Solutions offers custom solutions to tech companies pushing forward the industry: fintech, cloud services, health tech, eCommerce, cybersecurity, etc.

Company details

Company typeScaleup
IndustryStaffing & Recruiting
Company size201 - 500

Links

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Job description

On behalf of AdTech Client #1, SD Solutions is looking for a talented Senior DevOps Data Engineer to build, operate, and scale the platforms behind our data systems—running containerized workloads on Kubernetes, managing GitOps-based deployments, and keeping data pipelines reliable at scale.

SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer.

Responsibilities:

  • Build, operate, and scale containerized data infrastructure on Kubernetes and/or Linux-based systems, including engines like Spark, across batch and streaming workloads
  • Write automation and tooling in Python
  • Improve reliability, observability, and performance across distributed systems

Requirements:

  • 5+ years of experience as a DevOps Engineer, working in a production Linux environment.
  • Hands-on experience with containers and Kubernetes
  • Good understanding of distributed and data systems
  • Good Python scripting experience
  • Hands-on with at least one cloud platform (AWS preferred)
  • Experience with a version control and CI/CD tool (e.g., GitLab or GitHub)
  • Strong English communication skills, team player, independent

Advantages:

  • Exposure to data warehouses/data lakes and processing frameworks (Hadoop, Spark, Flink, Trino) across batch and/or stream workloads
  • Experience with GitOps tooling (ArgoCD / Flux)
  • Experience administering at least one NoSQL database (Redis, Elasticsearch, or MongoDB)
  • Previous experience as a data engineer or software engineer with an infrastructure background

About the company:

A large-scale advertising technology company building audience intelligence and campaign automation tools for brands, agencies, and publishers across multiple digital channels. The platform processes vast data volumes to enable programmatic decisions and measurable business outcomes at a global level.

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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