Engineer

Job Purpose

The Engineer is responsible for deploying, configuring, and maintaining data science software, e.g. Posit for Jumping Rivers' clients across cloud and on-premise environments. The role combines hands‑on infrastructure delivery with ongoing technical support, ensuring client systems are deployed to a high standard and remain stable, secure, and performant once live.

You will work closely with clients and the wider Engineering team to deliver reliable infrastructure.

Key Responsibilities

• Deployment
  • Deploy and configure data science software for new clients across AWS, Azure, GCP, and on-premise environments
  • Provision infrastructure using Infrastructure-as-Code tools (e.g. Terraform, Ansible)
  • Configure authentication, SSO, and access control integrations (e.g. LDAP, SAML, OAuth)
  • Set up networking, security, and compliance configurations (VPCs, firewalls, SSL/TLS)
  • Document deployment architecture and configuration for each client environment
• Support & Maintenance
  • Provide ongoing technical support for client environments, responding to and resolving support tickets
  • Monitor system health, performance, and availability across client deploymentsApply patches, upgrades, and version updates to data science software and underlying infrastructure
  • Troubleshoot and resolve infrastructure, networking, and application‑level issues
  • Escalate and coordinate with third‑party support where required
• Client Liaison
  • Act as a technical point of contact for clients on deployment and support matters
  • Scope infrastructure requirements for new deployments in collaboration with clients
  • Communicate technical issues, fixes, and maintenance work clearly to non‑technical stakeholders
  • Support onboarding of new clients onto systems
• Internal Collaboration & Process Improvement
  • Contribute to internal tooling, automation, and documentation to make deployments faster and more repeatable
  • Share knowledge with the wider Engineering team on deployment best practice and recurring issues

Technical Skills

• Essential
  • Experience in a DevOps, infrastructure, or systems engineering role
  • Hands‑on experience with at least one major cloud provider (AWS, Azure, or GCP)
  • Experience with Infrastructure-as-Code (Terraform, Ansible, or similar)
  • Comfortable working in Linux environments
  • Understanding of networking fundamentals (DNS, load balancing, VPNs, firewalls)
  • Strong, methodical troubleshooting skills
• Desirable
  • Direct experience deploying or administering data science software
  • Familiarity with R and/or Python ecosystems
  • Experience with containerization (Docker/Kubernetes)
  • Scripting experience (Bash, Python) for automation
  • Experience with monitoring/observability tooling (Grafana or similar)

Soft Skills

• Experience working in a consultancy or client‑facing environment
• Excellent communication skills, with the ability to explain technical issues to non‑technical clients
• Ability to manage multiple client deployments and support requests concurrently
• Can demonstrate initiative and ownership of tasks
• Experienced in owning delivery of individual work from start to finish

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