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Immersum
Immersum

Senior Software Engineer

Location

Remote restrictions apply
See all remote locations

Salary Estimate

N/AIconOpenNewWindows

Seniority

Senior

Tech stacks

Cloud
Software Development
AI
+9

Permanent role
3 days ago
Apply now

Senior Software Engineer

Tech stack: Python, Cloud Infrastructure, APIs, Kubernetes, AI/ML, CI/CD

Remote - Occasional Client Visits

We’re hiring a Senior Engineer to help build and scale production grade AI infrastructure for enterprise clients.

This is a hands-on engineering role focused on building reliable backend systems, cloud platforms, and deployment infrastructure that takes AI solutions from prototype through to secure, scalable production environments.

The Role:

  • Design and build backend systems, APIs, and cloud infrastructure

  • Deliver production-ready AI systems with monitoring, scaling, and reliability built in

  • Work with AI infrastructure, deployment pipelines, and operational tooling

  • Contribute to architecture decisions and platform engineering

  • Collaborate with Forward Deployed Engineers and Digital Intelligence Engineers

  • Improve observability, testing, security, and production operations

  • Mentor mid-level engineers and contribute to engineering standards

What We’re Looking For:

  • 5+ years building production backend systems and APIs

  • Strong hands-on engineering skills with Python or similar backend technologies

  • Experience operating production systems in cloud environments

  • Hands-on with containerisation, CI/CD, and infrastructure-as-code

  • Strong understanding of databases and system design

  • Experience implementing security controls in production environments

  • Interest in AI systems and enterprise AI deployment

  • Ability to work independently and contribute to technical direction

Nice to Have:

  • Experience in regulated industries such as pharma, insurance, or financial services

  • Experience with AI infrastructure, model serving, or ML pipelines

  • Kubernetes and container orchestration at scale

  • Experience with observability and distributed systems

Why Join:

  • Work on real enterprise AI deployments

  • High ownership across infrastructure and platform engineering

  • Collaborative, engineering-led environment

  • Opportunity to influence architecture and technical standards

  • Build systems that move AI from proof-of-concept into production

About Immersum

🔗Website
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