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Lunio

Senior Software Engineer

London
Posted 4 days ago
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Senior Software Engineer

Senior Software Engineer (Python & AWS)

We’re seeking a Senior Software Engineer with deep expertise in Python and AWS to lead the design, development, and scaling of distributed, data-driven AI/ML systems. This role involves owning cross-service features in a modern cloud platform, making pragmatic architectural decisions, and setting high engineering standards for reliability, performance, and quality. You’ll collaborate closely with Product, Data, and Engineering teams to define technical direction, mentor junior engineers, and ensure systems are secure, observable, and resilient.


Key Responsibilities

  • Lead end-to-end software delivery:

    • Design and implement Python-based microservices using FastAPI, Flask, or Django
    • Develop and refine cloud-native solutions on AWS (Lambda, ECS/Fargate, S3, DynamoDB, API Gateway, etc.)
    • Define service boundaries, data ownership, and failure-recovery patterns for scalable systems
  • Architect and optimise systems:

    • Set high standards for reliability, performance, and observability
    • Monitor and reduce latency, error rates, and infrastructure costs
    • Review critical code reviews (PRs) and guide technical decisions
  • Champion engineering quality:

    • Advocate for testing, security, and data-privacy best practices
    • Implement robust logging, tracing, and scalability solutions
  • Scale production systems:

    • Lead incident response and root-cause analysis
    • Continuously improve CI/CD pipelines with Docker, Terraform, GitHub Actions
    • Align API design and event-driven architectures with business needs

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

  • Mentor and grow engineers:

    • Foster a culture of knowledge-sharing through pair programming, coaching, and documentation
    • Empower the team to build self-improving, maintainable systems
  • Shape technical roadmap:

    • Collaborate with Design, Product, and Data teams to deliver incremental value
    • Advise on trade-off discussions and scalable data infrastructure

Core Technology Stack

Languages:

  • Python (FastAPI | Flask | Django)

Cloud & Messaging:

  • AWS (Lambda, ECS/Fargate | S3 | DynamoDB | CloudWatch | API Gateway)
  • PostgreSQL, Redis | Kafka / SQS

CI/CD & Infrastructure:

  • Docker | Terraform | GitHub Actions | CloudFormation

Monitoring & Observability:

  • Prometheus | Grafana | OpenTelemetry

Testing:

  • pytest | Integration & Load Testing frameworks

Required Skills & Experience

✔ 5+ years’ experience designing and delivering production-grade Python systems on AWS ✔ Deep knowledge of serverless, containerised architectures, and distributed systems ✔ Expertise in API design, event-driven patterns, and caching strategies ✔ Strong operational mindset—observability, incident response, and cost optimisation ✔ Security-first approach with familiarity with SAST/DAST, encryption, and IAM best practices ✔ Ability to articulate technical decisions and school cross-functional teams

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Behaviours & Impact

Core Behaviours: 🔹 Ownership: End-to-end responsibility for system design and operations 🔹 Pragmatism: Balancing strategic architecture with execution velocity 🔹 Influence: Raises standards through mentorship and code reviews 🔹 Growth Mindset: Proactively improves processes, tools, and team learning

Success Indicators: ⚡ Reliable delivery of complex Python/AWS-based initiatives ⚡ Reduced latency, errors, and cloud spend through optimisations ⚡ Strong incident management and operational excellence ⚡ Well-documented technical decisions ensuring long-term maintainability ⚡ Team enablement through mentoring and cross-engineering leadership


Perks & Benefits

  • Hybrid working: Flexible policy with eventual office estarage (London/Manc base)
  • 35 holiday days: Plus bank closure days to recharge
  • Home office stipend: Up to £1500 towards setup and tech
  • BUPA Healthcare: Access to UK employee benefits, or claim through wellbeing budget
  • Wellbeing support: Paid £500/year for therapy, coaching, or fitness
  • Parental leave: Enhanced maternity/paternity/SPL for quality time
  • Equitable culture: Focused on aspirations over deprivation, no forced office days
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Skills

Python
AWS
Distributed Systems
API Design
Event-Driven Architectures
System Observability
Logging
Performance Optimisation
Security Best Practices
Technical Documentation
Mentoring
Microservices
Cloud-Native Solutions
Incident Management
Continuous Improvement

Location

London, England, United Kingdom

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