[Hiring] Platform Engineer @Opplane Portugal Unipessoal Lda

Role Description

We are looking for a Platform Engineer with an MLOps focus to build and operate the platform capabilities that enable data science teams to develop, deploy, and manage machine learning workloads reliably and at scale.

• Work across ML lifecycle tooling, CI/CD, MLflow, Databricks, and Unity Catalog.
• Support the AWS infrastructure underpinning the Lakehouse.
• Engage in hybrid or on-premises Kubernetes-based ML platforms (feature platforms such as Chalk, or notebook environments such as Domino).
• Combine platform engineering, automation, governance, observability, and collaboration with data science and data engineering teams.
• Infrastructure as Code (Terraform/Terragrunt) and hands-on AWS experience are valuable but not core requirements.
• Fundamentals are Databricks, MLOps, and Python.
• Report into the Data & Platform Engineering team.

Qualifications

• 5+ years of relevant experience in platform, DevOps, MLOps, ML engineering, or related engineering roles.
• Hands-on experience with the ML lifecycle: experiment tracking, model registry, versioning, and deployment (MLflow or equivalent).
• Experience building CI/CD pipelines (Git-based workflows) for ML or data workloads.
• Working experience with Databricks platform capabilities, including workspaces, Unity Catalog, compute, jobs/workflows, permissions, and environment configuration.
• Solid Python scripting for automation and pipeline tooling.
• Ability to work closely with data scientists and data engineers to translate ML requirements into reliable platform capabilities.
• Fluency in English (written and spoken).

Requirements

• Hands-on experience with AWS, particularly IAM, networking, S3, and related platform services.
• Infrastructure as Code experience (Terraform, Terragrunt).
• Familiarity with Databricks Asset Bundles, Delta Live Tables, or Databricks Workflows.
• Exposure to feature stores or feature platforms (e.g. Chalk), or real-time model serving.
• Experience with notebook-based data science environments such as Domino Data Lab.
• Experience with on-premises or hybrid Kubernetes environments and Git-based deployment workflows using GitLab.
• Databricks (ML Associate) or AWS certifications.
• Observability tooling (CloudWatch, Prometheus/Grafana) and cost-optimization practices.

Benefits

• Global & Multicultural – Diverse perspectives, global collaboration (US, Portugal, India and Singapore offices).
• ⚡ Startup Energy – Fast-moving, impact-driven environment.
• Ownership Mindset – Engineers own what they build.
• Collaborative & Friendly – Open, curious, and supportive culture.

Company Description

Opplane specializes in providing advanced data-focused solutions for financial services, telecommunication, and reg-tech to accelerate their digital transformation journey. Opplane leadership team is comprised of Silicon Valley serial entrepreneurs and experienced executives.

• Expertise comes from years of specific industry experience at some of the world’s top companies, such as PayPal, Xerox Parc, Amazon, Wells Fargo, SoFi.
• Focus areas include product management, data technology, data governance, data privacy, security, machine learning, and risk management.