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Lantum

Principal Software Engineer

Lantum

. Lead all core software engineering work across Lantum’s platform and service architecture .

Posted 11/4/2026full-timeLondon • United KingdomLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing, building, and optimizing cloud-native architectures while ensuring compliance with regulatory security standards. Proven ability to lead multidisciplinary engineering teams and deliver high-quality software solutions that meet mission-critical requirements.

Highest-signal resume keywords
Advanced PythonCloud-Native ArchitectureRESTful APIsAWSTeam Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Advanced LinuxSubstantial JVM ExpertiseTypeScriptJavaScriptDjangoReactSQLPostgreSQLTerraformDocker
Soft Skills
MentoringEffective CommunicationCollaboration
Tools & Technologies
GenAIMLOpsGitOpsCI/CD PipelinesServerless Architectures
Certifications & Qualifications
Undergraduate Degree in STEM
Industry Keywords
HealthTechHealthcare SystemsNHS EcosystemSecOpsRisk Management

Tech Stack

Tools & technologies
AWSAzureCloudDjangoDockerGraphQLJavaJavaScriptLinuxMongoDBNode.jsPostgresPythonReactReact NativeRustScalaSQLTerraformTypeScriptGo.NET

About the role

Key responsibilities & impact
  • Lead all core software engineering work across Lantum’s platform and service architecture
  • Scale Lantum’s platform for its next stage of growth
  • Work alongside AI/ML, product, healthcare domain, and Operations teams
  • Stay hands-on and ship production code
  • Own end-to-end software engineering processes and infrastructure
  • Ensure core revenue-generating systems operate without interruption under strict SLAs
  • Optimise systems, expand capabilities, and increase connectivity across the multi-product platform
  • Protect sensitive healthcare and financial data and ensure systems meet regulatory security, observability, traceability, and verifiability criteria
  • Lead, support, and guide engineers while synchronising delivery horizons with multidisciplinary teams
  • Design, build, operate, and secure agentic workflows, multi-agent systems, guardrails, and security-first agentic architectures
  • Operate, optimise, and govern coding agents, software factories, and AI tooling
  • Enable reliable AI FinOps and effective AI governance
  • Operationalise and optimise Lantum’s AI-native software development lifecycle with agentic loops, verifiability, observability, testing, and review processes
  • Complete technical interviews, a practical tech challenge, and values discussions

Requirements

What you’ll need
  • Direct, demonstrable expertise owning, designing, building, deploying, scaling, optimising, operating, and maintaining non-trivial systems, services, platforms, and artefacts
  • Track record meeting heavy, long-horizon SLAs, SLCs, SLOs, mission-critical client requirements, and regulatory requirements
  • Expertise in stability, resilience, reliability, scalability, precision, quality, security, safety, observability, auditability, and verifiability
  • Experience provisioning, operating, and optimising fully cloud-native, cloud-first architectures and estates (must-have)
  • Experience with local, on-premise infrastructure (desirable)
  • Experience designing and sustaining secure tech estates, zero trust architectures, auditable data pipelines, supply chain security, SecOps, and risk management
  • Experience leading multidisciplinary full-stack engineering teams across back-end, front-end/mobile, architecture, DevOps, infrastructure, DataOps, and SecOps
  • Experience mentoring, line-managing, and supporting engineering colleagues and growing engineering organisations
  • Experience synchronising development streams with ML scientists, data scientists, product managers, or operations teams
  • Effective interaction with senior management and technical/nontechnical domain experts
  • Exposure to MLOps, data science, data analytics, classical ML, experiments, evaluation, and evidence-based optimisation (highly desirable)
  • Exposure to HealthTech, healthcare systems/products, and the NHS ecosystem (highly desirable)
  • Advanced Linux skills and administration
  • Advanced Python (must-have)
  • Substantial JVM (Java or Scala), .NET (C#), Rust, or Go expertise (ideally)
  • TypeScript and JavaScript (must-have)
  • Node.js (ideal)
  • RESTful APIs (must-have)
  • GraphQL, MCP, or A2A (desirable)
  • Django (must-have)
  • React (must-have)
  • Blazor (desirable)
  • React Native (highly desirable)
  • SQL and PostgreSQL (must-have)
  • SQL Server and MongoDB (desirable)
  • AWS (must-have)
  • Azure (desirable)
  • Terraform and policy as code (must-have)
  • Docker (must-have)
  • Serverless architectures, sandboxes, and enclaves
  • GitOps and CI/CD pipelines
  • GenAI, LLMs, and agentic frameworks, APIs, and SDKs
  • Agent sandboxes/enclaves, agent harnesses, and agent memory substrates
  • Undergraduate degree in a STEM subject (must-have)
  • Eligibility to live and work in the UK
  • No visa sponsorship available

Benefits

Comp & perks
  • £200 home office equipment stipend
  • Health Cash Plan with cash refunds for physio, dental, and other health-related costs
  • Employee Pricing Program with discounts to gyms and top retail brands
  • 24/7 counselling and support helpline
  • Pension with 4% salary matching
  • 25 days holiday plus 1 additional birthday-leave day
  • Spill mental health support app
  • 1 wellbeing leave day
  • £500 annual learning and development budget
  • Cycle to Work Scheme
  • Charity Day
  • Hybrid working in a collaborative WeWork office
  • Vibrant WeWork workspace with productivity and wellbeing amenities