Gearset

Gearset

Gearset provides a comprehensive DevOps solution for Salesforce, enabling seamless deployment, continuous delivery, automated testing, and backup management to enhance the efficiency and reliability of Salesforce development processes.

Internet Software & Services
51-250
Founded 2015
$55M raised

Description

  • Design and build end-to-end features across the Gearset platform, from front-end to back-end.
  • Enhance and expand platform functionality and infrastructure to improve reliability and observability.
  • Collaborate with small cross-functional teams, product managers, and domain experts to define what to build and how to build it.
  • Engage directly with users and partners to gather feedback, understand challenges, and shape product decisions.
  • Drive and promote development best practices and technical excellence across the engineering team.
  • Iterate quickly by delivering incremental, small slices of functionality and reacting to user needs.
  • Maintain and improve CI/CD, deployment and monitoring systems to support rapid release cycles.
  • Share knowledge, mentor peers, and contribute to a culture of continuous learning and constructive feedback.

Requirements

  • Previous experience as a full-stack engineer, including direct experience working with customers or end users.
  • Pragmatic, delivery-focused approach that prioritises iteration and customer value over process and deliberation.
  • Comfortable giving and receiving constructive feedback and contributing to a collaborative engineering culture.
  • Familiarity with C#/.NET, JavaScript/TypeScript and React (listed as desirable but commonly used on the team).
  • Experience with an OOP language (e.g., Java, C++) and a modern JS framework (e.g., Angular, Vue) is desirable.
  • Experience working on a distributed, cloud-hosted product with rapid release cycles and strong observability.
  • Experience working in agile teams and delivering incremental releases to meet user needs.
  • Right to work and be based in the United Kingdom and available for a full-time, remote Monday–Friday role.
  • Willingness to use and explore LLMs and internal AI development tools to support engineering work (desirable).

Benefits

  • Salary £59,000–£78,000 (depending on experience).
  • Opportunity to join the Long Term Incentive (LTIP) scheme.
  • Generous personal development budget of up to £1,500 per year for courses and conferences.
  • Top-end hardware provided for work.
  • BUPA health care.
  • Life insurance and critical illness cover.
  • Discounted gym membership and a range of health and wellness benefits.
  • Fully remote UK-based role (full-time, Monday–Friday).

Interested in this position?

Apply directly on the company website

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