Rotageek
Software Engineer
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đ A bit of background on Rotageek
Rotageek helps businesses optimise staff scheduling through data-driven technology. By combining machine learning and advanced algorithms, we help organisations forecast demand, improve workforce management and give employees greater control over their schedules.
Our solutions drive operational efficiency, improve customer experiences and help reduce staff turnover across the retail and healthcare sectors. Rotageek is now part of the ELMO Software group, strengthening our ability to deliver industry-leading workforce management solutions as part of a broader HR technology ecosystem.
Confidence can sometimes hold us back from applying for a job. But weâll let you in on a secret: thereâs no such thing as a âperfectâ candidate.
Rotageek is a place where everyone can grow. So, however you identify and whatever background you bring with you, please apply if this is a role that would make you excited to come into work every day.
đ Our values: what we live by
- 𫶠Start With People: You champion the customer experience, create psychological safety and help the whole team deliver with confidence.
- đ€ Own It, Together: You take responsibility for quality outcomes, collaborate across disciplines and help turn incidents into learning.
- đ Clear Is Kind: You make defects, risks, coverage and quality decisions clear, actionable and respectful.
đĄ Why this role is so important
Our customers rely on Rotageek to support important workforce decisions. As a Software Engineer, youâll help build the services, APIs and integrations that make those experiences reliable, secure and easy to extend.
Youâll take ownership of well-scoped features and components, turning clear requirements into simple, robust and maintainable C# and.NET solutions. Youâll work closely with Engineering, QA, Product and Data colleagues from design through to production.
This is a role for an engineer who cares about the whole journey, not just the code. Youâll think about testability, security, performance, observability and the way application data moves into reliable customer-facing experiences.
Youâll also use AI-assisted engineering tools as part of your delivery workflow. Youâll use them to accelerate implementation, testing and refactoring, while applying your judgement to validate the output for correctness, security and architectural fit.
đ ïž What youâll be doing
- Break down well-scoped features into deliverable tasks, identifying dependencies and communicating progress, risks and decisions.
- Design medium-complexity components with clear responsibilities, well-defined interfaces and sensible separation of concerns.
- Write automated tests covering core behaviour and common edge cases, working with QA to ensure the right coverage at the right level.
- Apply established security practices, including OWASP principles, secure handling of data and appropriate escalation of risks.
- Use logs, metrics and traces to monitor, troubleshoot and improve production behaviour.
- Participate in constructive code reviews that improve logic, style, performance and security while helping colleagues grow.
- Work with Data Engineering colleagues on interfaces, data contracts, data quality and operational failure modes.
- Contribute to incident response, post-incident learning and continuous improvement of the services you support.
- Document technical decisions and operational knowledge so the team can understand, support and extend what you build.
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â What youâll bring
- Professional experience building software with C# and.NET.
- Strong fundamentals in object-oriented design, APIs, SQL, automated testing and debugging.
- Experience delivering medium-complexity features within an established architecture.
- A practical understanding of secure development, performance, reliability and observability.
- Confidence participating in code reviews and explaining technical decisions clearly.
- The ability to take ownership of work from a well-scoped ticket through to production, including testing, documentation, monitoring and follow-through.
- A collaborative, customer-focused approach to agile delivery.
- The judgement to use AI productively while validating and owning everything it produces.
đ± Nice to have, but not essential
- Experience working closely with Data Engineering, Data Architecture or analytics teams.
- Practical understanding of data modelling, data quality, lineage, data contracts or transformation pipelines.
- Experience building reliable ingestion or integration workflows, event-driven services or messaging-based systems.
- Familiarity with cloud data platforms such as Snowflake, BigQuery, Redshift or Databricks, or with BI and semantic-layer concepts.
- Experience working with multi-tenant systems, row-level access controls, PII or GDPR-sensitive data.
- Experience supporting a migration from legacy reporting or BI technology to a governed, modern data platform.
You donât need experience with every tool or concept listed above. Weâre more interested in your engineering fundamentals, problem-solving approach, curiosity and ability to learn.
đ€ How youâll work
- You use AI-assisted delivery thoughtfully, validating generated code and tests before they become part of the product.
- You favour simple solutions, evaluate existing libraries and services before building new ones, and avoid unnecessary complexity.
- You take ownership from ticket to production, including documentation, testing, monitoring and follow-through.
- You are comfortable explaining technical choices, listening to alternatives and collaborating across Engineering, QA, Product and Data.
- You connect implementation decisions to customer value, reliability, cost and the wider product experience.
- You share knowledge through pairing, reviews and clear documentation, while asking for help early when a problem needs wider input.
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đ The impact youâll make
- Customers receive reliable features that are easy for the team to understand and extend.
- Components have clear boundaries, sensible abstractions and automated coverage.
- Production issues are diagnosed quickly because the right signals and documentation are in place.
- The team can trust your delivery, your reviews and your communication.
- Application and data integrations have clear ownership, interfaces and failure behaviour.
- Data-dependent features work coherently from source system through to analytics and customer experience.
đ§ The tools and ways of working
- C# and .NET for services, APIs and application development.
- Strong SQL and relational data stores, with an interest in how application data becomes reliable analytics data.
- Automated unit and integration testing, Git, CI/CD and environment-aware delivery.
- Observability through logging, metrics, tracing and production diagnostics.
- Cloud-hosted services, with AWS experience useful in our wider platform environment.
- AI-assisted engineering tools such as Claude Code or Codex, used with disciplined review and validation.
- Agile planning, code review, incident response and collaborative technical documentation.
đ Why youâll love it here
- Competitive salary, dependent on experience.
- Flexible, hybrid working, with collaboration across the team and time to focus when you need it.
- 25 daysâ holiday, plus one extra day after three years, and your birthday off.
- UK bank holidays, plus Christmas Eve and New Yearâs Eve afternoons off.
- Private medical insurance with enhanced mental health, dental and optical coverage via AXA.
- Employee Assistance Programme, support when you need it.
- Life insurance at 2x salary and matched pension contributions of 5%.
- Two volunteer days per year, give back to causes that matter to you.
- Access to Mintago for financial wellbeing, discounts and expert advice.
- Retail discount scheme, perks and savings just for being part of our team.
đ The hiring process: letâs make it personal!
- Screening call: A virtual chat with one of our team to learn more about your experience, what excites you about the role and how you align with our people-first culture.
- Competency interview: Youâll meet the hiring manager and talk through your approach to software design, development, testing, debugging, security and collaborating across Engineering, QA, Product and Data.
- Final stage interview: Youâll meet members of the wider team and explore how you would build reliable services, make sound technical decisions and contribute to a strong engineering culture.
âIt took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what Iâve been looking for.â
Jessica, London
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