Application Support Engineer (Third Party Systems), London at Isomorphic Labs

Department: Tech

Setup: Hybrid
Location: London, England
Type: Full-time
Level: not_specified
Posted: Aug 14, 2026

Description

Isomorphic Labs is looking for an Integration Engineer to manage and scale their internal, multi-user tools and applications. The role involves deploying and maintaining software across various cloud environments, automating continuous deployment pipelines, ensuring application security through vulnerability scanning, and integrating identity and access management systems. The engineer will also handle endpoint and cloud deployments, configure security baselines, and enforce access controls.

Required Skills

Kubernetes
Containerization
CI/CD
Automation
GitHub Actions
GitLab CI
ArgoCD
Jenkins
Security Scanning
Vulnerability Management
Infrastructure as Code
Terraform
OpenTofu
Identity & Access Management
Single Sign-On (SSO)
Directory integration
SAML 2.0 / OIDC
Python
Bash
Go

Additional Information

Required Previous Experiences: Experience deploying, managing, and scaling multi-user applications on Kubernetes.
Proven track record building continuous deployment pipelines using tools such as GitHub Actions, GitLab CI, ArgoCD, or Jenkins.
Experience implementing and analyzing container and dependency security scanning tools.
Proficiency with Terraform, OpenTofu, or similar for provisioning repeatable environments.
Practical experience configuring Single Sign-On (SSO) and Directory integration via SAML 2.0 / OIDC (e.g., Okta, Azure AD/Entra ID).
Proficiency in Python, Bash, or Go to automate maintenance routines and internal workflow.
Preferred Qualifications: Hands-on experience with GitOps tools like ArgoCD or Flux for declarative state enforcement.
Experience backing up, restoring, and tuning databases commonly used by self-hosted applications (PostgreSQL, MySQL, Redis).
Experience using monitoring, alerting, and logging tools.
Translation Company Name: Isomorphic Labs

About Isomorphic Labs

Isomorphic Labs

machine learning with computational biologyLondon, England, GB

The company uses AI to model complex biological phenomena, help design novel molecules, anticipate how drugs will perform, and develop medicines. It describes its mission as aiming to one day solve all disease with the help of AI. The company operates across London, Lausanne and Cambridge, and describes itself as a growing team. It has announced a Series B investment round.