Platform Engineer, AI Tooling – Senior or Staff

Posted Sep 28

This is a fully remote position, open to applicants in United Kingdom, +3 more countries.

📋 Description

• Take charge of architectural decisions that dictate how features are developed, securely launched to customers, and maintained over the long term.

• Guide engineers through code evaluations and collaborative design efforts.

• Spearhead projects spanning multiple quarters and decompose intricate problems into progressively validated milestones.

• Establish success metrics, make necessary trade-offs, and escalate issues to leadership when required.

• Collaborate with leadership on the technical roadmap and strategic direction.

• Question requirements, suggest alternatives, and influence the development timeline and priorities.

• Ensure the operational health of systems is maintained.

• Leverage data to inform decisions related to iteration, maintenance, and deprecation.

• Set the technical course for the designated area.

• Anticipate technical challenges that may arise in the next 12+ months and propose scalable solutions.

• Enhance engineering capabilities that boost developer efficiency and quality at Synthesia, an AI video platform for businesses.


⛳️ Requirements

• A minimum of seven (7) years of experience as a software engineer.

• At least 2–3 years of experience at a senior or staff level.

• Practical experience in creating and managing developer platforms, CI/CD systems, observability/metrics infrastructure, code quality automation, testing infrastructure, and/or developer tools.

• Proven history of delivering infrastructure or tools that significantly enhanced developer productivity or reduced cognitive burden.

• Experience in driving the adoption of AI-enhanced developer tools or capabilities within an engineering organization.

• Background in a high-performing engineering environment.

• Familiarity with integrating third-party services, APIs, SaaS tools, and external platforms into internal systems.

• Knowledge of reliability, security, user experience, and operational constraints at scale.

• Experience managing large technical areas from start to finish.

• Proficiency in Python implementation exercises.

• Legal authorization to work in the specified country; visa sponsorship is limited to candidates who are already in the UK/EU.

• Commitment to full-time work; contractors will not be considered.


🏝️ Benefits

• Equity (RSUs).

• 25 days of paid leave in addition to local holidays.

• Visa sponsorship assistance for candidates already in the UK/EU who require support.

• Option for remote work.

• In-office work option available.

• Full-time employment.

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