Role Purpose

The Application Development Senior Analyst designs, builds, tests and supports secure, reliable digital solutions that meet business and customer needs. Working within an Agile delivery team, the role provides hands-on development expertise, takes ownership of moderately complex work, contributes to technical decisions and helps improve engineering quality, delivery flow and operational resilience.
 

Key Responsibilities

• Analyse user stories and technical requirements, identify dependencies and translate them into maintainable solution designs.
• Develop, configure, test and document application features using approved engineering standards, patterns and platforms.
• Own assigned work from refinement through deployment and early-life support, providing clear progress, risk and dependency updates.
• Produce clean, reusable and secure code or configuration, with appropriate unit tests and evidence of quality.
• Participate actively in peer reviews and respond constructively to feedback; support less-experienced developers through knowledge sharing and practical guidance.
• Collaborate with Product Owners, Business Analysts, Quality Engineering, Architecture, Security, Platform and Production Support colleagues.
• Use source control and CI/CD practices effectively, supporting automated quality gates and reliable, traceable releases.
• Troubleshoot defects and production issues using logs, monitoring and diagnostic tools; contribute to root-cause analysis and preventive actions.
• Create and maintain concise technical documentation, including solution notes, support guidance and operational runbooks.
• Contribute to sprint planning, refinement, daily stand-ups, reviews and retrospectives, and act on agreed continuous-improvement actions.
• Protect customer and company data by following privacy, security, access-control and change-management requirements.
• Keep skills current and apply relevant new capabilities where they improve quality, efficiency, reliability or customer outcomes.
   

Required Experience and Capabilities

• Practical experience delivering application development or configuration within an enterprise environment.
• Strong hands-on capability in the core technologies required by the requisition, with the ability to diagnose and resolve technical issues independently.
• Understanding of software engineering fundamentals, including modular design, testing, debugging, version control and secure coding.
• Experience working in Agile teams and managing work through tools such as Jira and Confluence or equivalent.
• Experience with code review, automated testing and CI/CD pipelines.
• Ability to communicate technical information clearly to engineering and non-engineering stakeholders.
• Sound judgement, attention to detail, ownership and a continuous-learning mindset.
• Ability to balance delivery pace with quality, security, maintainability and operational support needs.
   

Role-Specific Technical Skills

• The requisition should identify the mandatory stack. For a Salesforce / OmniStudio vacancy, the following are relevant:
• Salesforce platform development and configuration, including Apex, Lightning Web Components, SOQL and platform security concepts.
• OmniStudio capabilities such as OmniScripts, FlexCards, DataRaptors and Integration Procedures.
• Integration patterns and APIs, including REST/SOAP services, authentication and error handling.
• Salesforce deployment and release practices, preferably using Git-based source control and Copado or a comparable CI/CD tool.
• Automated and unit testing, static analysis and code-quality controls.
• Application monitoring and log analysis using relevant observability tools.
   

Nice to Have

• Relevant platform certification or equivalent demonstrable experience.
• Experience in healthcare, insurance or another regulated industry.
• Experience with SAFe or delivery across multiple dependent teams.
• Awareness of accessibility, performance engineering and resilient integration design.
• Experience using approved AI-assisted development tools to support activities such as code generation, refactoring, unit-test creation, documentation, debugging or code explanation, while applying human review, secure-coding practices and data-handling controls.
• Experience using approved generative AI tools in day-to-day work to summarise information, improve written communication, prepare meeting outputs, explore options or streamline repeatable tasks, with appropriate validation of outputs.
• An interest in evaluating AI use cases based on measurable value, quality, risk and responsible-use considerations.
   

What Good Performance Looks Like

Delivery: Completes agreed work predictably, surfaces risks early and follows through to a stable outcome.

Engineering quality: Produces maintainable, tested and secure solutions that meet agreed standards.

Ownership: Handles moderately complex work with limited oversight and takes responsibility for follow-up.

Collaboration: Works constructively across disciplines, contributes to reviews and shares knowledge.

Improvement: Identifies practical ways to reduce rework, strengthen controls and improve team effectiveness.

Responsible AI use: Uses AI as an assistive tool where permitted, validates outputs and never substitutes generated content for engineering accountability.
 

Education and Professional Development

Bachelor’s degree in Computer Science, Engineering or a related discipline, or equivalent practical experience.

Commitment to ongoing technical learning, including platform, security, cloud, automation and responsible AI capabilities relevant to the role.