CRM Senior Programmer Analyst

What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. Position Summary The Programmer Analyst is the builder-orchestrator; the person who turns solution designs into working, production-quality software, increasingly by specifying, directing, and rigorously verifying AI-generated code, not only by hand-writing every line. You will write Apex, build Lightning Web Components, design Flows, implement integrations, and deliver the features and enhancements that power Illumina’s Commercial and Services organizations on the Salesforce platform, working fluently with AI coding assistants while remaining fully accountable for the correctness, security, and quality of everything you ship. You are responsible for the majority of hands-on delivery on the team, increasingly by directing and verifying AI-generated code, not only writing it by hand. You will work from solution designs provided by Solution Architects, under technical direction set by the Technical Architect, and in close collaboration with Test Automation Engineers who validate your work. You will produce clean, well-tested, secure code that meets Illumina’s engineering standards and scales to support a global organization, whether you typed it or an AI agent produced it, you own it. This role operates within an Agile Scrum delivery model. You will participate in sprint planning and grooming alongside Product Owners, Solution Architects, Technical Architects, and TAEs. You will collaborate with TAEs to define test strategy for your features; quality is a shared responsibility, built into every sprint, not a handoff at the end. As the Salesforce platform evolves with AI capabilities like Agentforce and Data Cloud (Data 360), you will build and implement these solutions alongside the rest of the engineering team. As AI takes on more first-pass implementation, your leverage shifts upstream, to clear specifications, strong tests, and disciplined review, and your judgment about what “good” looks like becomes the most valuable thing you bring. Responsibilities Software Development Write production-quality Apex code; classes, triggers, batch processes, queueable jobs, and scheduled Apex. Follow the team’s architectural patterns (trigger handler frameworks, service/domain/selector layers) and coding standards defined by the Technical Architect. Build Lightning Web Components (LWC); custom UI components using HTML, CSS, and JavaScript within the LWC framework. Implement wire services, imperative Apex calls, event handling, and Lightning Message Service. Follow SLDS design patterns and accessibility standards. Design and build Flows; record-triggered, screen, scheduled, and autolaunched flows. Make appropriate decisions about when to use declarative automation vs. Apex based on the team’s established guidelines. Implement integrations; REST/SOAP API callouts, Platform Events, Change Data Capture, and named credentials. Build error handling, retry logic, and logging into integration implementations. Work with middleware where required. Implement Agentforce solutions; build custom Apex actions for agents, configure Prompt Builder templates, write Agent Script for deterministic control, and implement Trust Layer guardrails as directed by solution designs. Implement Data Cloud (Data 360) configurations; data streams, data model objects, identity resolution, calculated insights, and activations based on solution designs and architectural direction. Configure Salesforce platform features; objects, fields, validation rules, page layouts, permission sets, sharing rules, and other declarative elements as part of feature delivery. AI-Augmented Engineering Work in agentic, spec-driven workflows: write a clear specification and acceptance criteria, delegate first-pass implementation to AI coding assistants, then review, correct, test, and own the result. Engineer the context AI tools need to be useful and safe: maintain rules/standards files, ground agents in the org’s metadata via the Salesforce DX MCP, and supply relevant examples and data. Verify AI-generated code with the same rigor as peer code, checking intent, security (CRUD/FLS, SOQL injection), governor-limit safety, hallucinated APIs, and adherence to team patterns. Treat verification as first-class engineering. Use AI coding assistants (such as Cursor and Agentforce Vibes, plus conversational tools like Claude or ChatGPT Enterprise where approved) to accelerate development, refactoring, debugging, test writing, and documentation, and share effective prompts and patterns with the team. Follow Illumina’s rules for safe use of AI tools on regulated health data: respect data boundaries, never expose PHI/PII or secrets, and understand the IP and authorship implications of AI-generated code. Code Quality & Testing Write comprehensive unit tests for all Apex code; positive, negative, and bulk scenarios. Achieve meaningful test coverage beyond the 75% minimum. Use test data factories and proper mocking techniques. Participate in code reviews; both as a reviewer and as a contributor receiving feedback. Provide constructive, educative feedback to peers. Address code review feedback promptly and thoughtfully. Follow the team’s coding standards, security practices, and architectural patterns. Write code that is clean, maintainable, well-documented, and aligned with the Technical Architect’s direction. Write secure code; enforce CRUD/FLS checks, prevent SOQL injection, protect against XSS/CSRF, and implement appropriate data access controls. Follow the team’s secure coding guidelines. Collaborate with Test Automation Engineers to define test strategy for your features during sprint planning. Ensure your implementations are testable and that acceptance criteria are met before handoff. Identify and reduce technical debt in the areas you work in. Refactor legacy code when opportunities arise during feature delivery. Advocate for technical improvements during sprint planning. Verify AI-generated code as rigorously as hand-written code; ensure unit tests meaningfully cover AI-produced implementations, where subtle logic errors and hallucinated APIs tend to hide. DevOps & Deployment Use Git (GitHub) for version control; branching, committing, creating pull requests, and resolving merge conflicts. Follow the team’s branching strategy and PR workflows. Deploy code and metadata using the team’s CI/CD pipeline (AutoRabit, DevOps Center, Salesforce CLI). Troubleshoot deployment failures and resolve metadata conflicts. Manage sandbox environments for development and testing. Maintain environment hygiene and coordinate with TAEs on test data and environment needs. Support release activities; pre-deployment validation, smoke testing, and post-deployment verification. Participate in release planning by identifying dependencies and risks. Collaboration & Delivery