Staff – Senior Software Engineer

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Introduce new products to the market and transform the company’s service offerings into marketable solutions.

• Re-envision and restructure existing services and tools into scalable functionalities.

• Connect Machine Learning, Product, and Platform Engineering capabilities.

• Collaborate with operations engineering and customer success teams to set priorities for multiple clients.

• Address and resolve technical challenges raised by customers and internal teams.

• Lead or participate in post-mortems following contractual SLA breaches, identify underlying causes, and implement preventive measures.

• Manage the AI decision engine to enhance automation accuracy.

• Update customer workflows in response to changing requirements and confirm delivery timelines.

• Contribute to the development of internal tools and automation to enhance service-operation efficiency.

• Author and maintain runbooks and documentation for internal operations teams.

• Engage in a 24/7 on-call rotation.

• Report to a Staff Engineer.

⛳️ Requirements

• Proven expertise in Python development and production-level coding.

• Experience in launching products, ideally from inception to market or transforming a service into a product offering.

• Background in re-envisioning and restructuring systems and tools to ensure reliable scalability with business growth.

• Proficient use of AI coding agents and practical experience with tools such as Claude Code or Codex.

• Strong foundation in software engineering practices, standards, and culture.

• At least 12 months of ongoing hands-on software engineering experience.

• Product-centric software engineering experience with extensive technical knowledge.

• Ability to work across the technology stack and in the realms of machine learning, product, and platform engineering.

• Take full ownership of issues from inception to resolution.

• Previous experience in a startup or small-team environment is a plus.

• Familiarity with AWS and Kubernetes is advantageous.

• Experience with workflow orchestration systems like Temporal is beneficial.

• Capability to contribute to Data Engineering, MLOps, and/or Platform Engineering is a plus.

🏝️ Benefits

• Flexible working hours and location.

• Competitive salary along with an equity package.

• Occupational pension plan.

• Generous paid parental leave policy.

• Generous paid sick leave policy.

• Annual budget dedicated to your professional development and advancement.

• Annual budget for personal health and wellness.

• Three team offsites to London or other exciting locations in Europe.