Optimyze Consulting
Software Engineer
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About the Client
Our client is an early-stage technology company operating at the intersection of AI and cybersecurity. The company is building AI agents that automate complex security testing and assessment workflows, with the product already being used by enterprise customers.
The engineering team is small and works across product engineering, backend systems, cloud infrastructure, and AI-driven software. Engineers have significant ownership over the systems they build and are expected to work closely with the product as the platform evolves.
About the Role
The company is looking for a hands-on Senior Software Engineer to help build and evolve production software used by real customers. This is primarily a Product Software Engineering role. You will be expected to build software rather than work mainly on infrastructure, architecture, or technical strategy. The role involves taking ownership of features and technical problems from design and implementation through deployment, production operation, and ongoing improvement.
Python is the primary engineering language, with strong experience in backend development expected. You will also work with SQL, AWS, cloud infrastructure, containers, and Infrastructure as Code, alongside distributed systems and AI-driven software.
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The role is suited to an engineer who is comfortable working across the stack when needed, can make pragmatic technical decisions, and enjoys solving complex problems in a small, technically ambitious environment.
What You’ll Be Doing
- Building and evolving production backend and product functionality using Python
- Designing and developing APIs and services used by customers
- Taking features from an initial problem or requirement through implementation, deployment, and production
- Working with AWS and cloud infrastructure alongside application code
- Building and operating containerised services and deployment infrastructure
- Working with SQL and relational databases
- Designing systems that are reliable, scalable, and maintainable
- Working with distributed, asynchronous, or long-running workflows where relevant
- Contributing to AI-driven features, including AI agents and LLM-based functionality
- Investigating production issues and improving reliability, performance, and observability
- Making practical engineering decisions with a strong awareness of security and operational impact
What We’re Looking For
- Strong professional, hands-on Python experience
- Proven experience building and operating production software
- Strong backend and API development experience
- Experience building software used by real customers or users
- Experience with AWS or another major cloud platform
- Good SQL and relational database experience
- Experience with Docker or other container technologies
- Experience with Infrastructure as Code, ideally Terraform
- Understanding of scalability, reliability, concurrency, or distributed systems
- Ability to take ownership of technical problems and work independently
- A strong security mindset and awareness of how software decisions affect production systems
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Particularly Relevant Experience
Experience with AI agents, LLM applications, RAG, Kubernetes, Terraform, observability, distributed workflow systems, security engineering, offensive security, or multi-tenant SaaS platforms would be particularly relevant.
You do not need experience across every area. The most important factors are strong software engineering fundamentals, substantial hands-on Python development, and a track record of building and operating real production software.
Location
London, with 3 days per week in the office.
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