[Hiring] Software Engineer IV @Robert Half

Role Description

We're looking for a Salesforce Technical Architect to own this ecosystem end-to-end and lead a distributed team of 10+ engineers across the US and India. This is an architect-level, hands-on leadership role: you'll set the technical direction, define engineering standards, and be the final authority on platform vs. off-platform decisions. You'll also drive a major greenfield initiative, implementing Salesforce Data 360 (CDP) for marketing segmentation and evolving our Agentforce and AI-enriched data pipelines.

If you're the kind of engineer who is obsessed with automation, thinks deeply about architectural trade-offs, and wants to lead a high-growth team working on genuinely hard problems, this role was written for you.

Qualifications

• 10+ years of software engineering experience with deep, sustained focus on the Salesforce ecosystem, particularly Sales Cloud, Data Cloud/360, Experience Cloud, Service Cloud, Marketing Cloud (or similar marketing automation platform)
• Expert-level command of the Salesforce platform: Apex, LWC, Metadata API, and experience managing highly customized enterprise instances.
• Strong professional experience building off-platform applications in Azure using Node.js or Python.
• Deep SDLC experience: SF CLI, Git, and hands-on ownership of automated CI/CD pipelines (Python experience is a strong plus).
• Solid foundations in relational database design, REST/SOAP web services, and asynchronous messaging patterns.
• Familiarity with Salesforce Data 360 and emerging AI/agentic workflows.
• BS/MS in Computer Science, Engineering, or a related technical field.

Requirements

• Own the on-platform vs. off-platform decision framework, knowing exactly when to build natively in Salesforce and when to extend into Azure (Node.js/Python) to meet business requirements.
• Design and oversee complex integrations between Salesforce and internal/third-party applications using event-driven, near real-time patterns that ensure data integrity across all systems.
• Lead the implementation of Salesforce Data 360 (CDP) for marketing segmentation and evolve our Agentforce and AI-enriched data pipelines.
• Lead with a security-first mindset, designing architectural patterns that scale while ensuring system integrity and data residency; proactively managing platform health so that security is a core requirement, not an afterthought.
• Serve as the final authority on design and code reviews, establishing global standards that ensure all contributions from a distributed team are secure, scalable, and maintainable.
• Embed security into the development lifecycle, ensuring it is never an afterthought; proactively utilize tools like Salesforce Health Check and Optimizer to maintain platform integrity.
• Build and enforce automated linting, testing, and security review gates (e.g., Checkmarx, security packages) that uphold engineering quality without slowing down delivery.
• Define the frameworks and tooling that let every engineer on the team move fast with confidence and compliance.
• Evolve our Python-driven CI/CD pipelines and build the foundation for multiple confident deployments per day.
• Identify and automate every feasible step of the SDLC, spanning automated security scanning code generation and review through to feature alignment and release, cultivating a true culture of continuous delivery.
• Serve as the technical North Star for 10+ Senior and Junior engineers providing clear architectural guidance and fostering a high-growth learning culture.
• Mentor engineers on complex patterns spanning Apex, LWC, and distributed systems design, helping the team level up continuously.
• Independently design, develop, and implement highly complex, scalable Salesforce applications and integrations using advanced Apex, complex Lightning Web Components (LWC), and advanced declarative features (Flows, Process Builders).
• Design and maintain robust back-end services, APIs, and complex automation workflows utilizing Node.js, Python, and scalable cloud technologies (Azure, AWS).
• Build and manage reliable data pipelines and integration processes (ETL) on Azure platform and Salesforce Data 360.
• Own integrations between Salesforce and multiple enterprise platforms, defining data contracts and standards via robust REST/SOAP APIs and event-driven architectures.
• Lead the customization and expansion of Agentforce capabilities to create mission-critical, context-aware employee experiences, ensuring performance and stability.
• Drive the implementation of Einstein Copilot, predictive analytics, and generative AI features into critical marketing and sales workflows, focusing on optimization and measurable business outcomes.
• Lead technical contribution to AI and ML initiatives, including the integration of complex large language models (LLMs) and generative AI into enterprise processes, focusing on security and data governance.
• Develop, maintain, and optimize high-performance front-end applications using modern JavaScript frameworks (e.g., advanced React.js/Next.js) and web component architecture.
• Serve as a key contributor to the Agile team, participating in roadmap planning, setting technical direction, and leading comprehensive peer code reviews.
• Mentor and guide junior Software Engineer team members, fostering technical growth and adherence to engineering best practices.
• Collaborate closely with product managers, data science teams, and business partners to define technical requirements and ensure scalable delivery.

Benefits

• Exceptional earning potential and a competitive benefits package, including group health insurance benefits (medical, vision, dental).
• FSA and HSA healthcare accounts.
• Life and accident insurance.
• Adoption and fertility assistance.
• Paid parental leave of up to 6 weeks.
• Short/long term disability.
• Paid time off for vacation, personal needs, and sick time.
• Up to 17 days of Choice Time Off (CTO) per calendar year.
• Up to 11 paid holidays per calendar year.
• Opportunity to contribute to our company 401(k) savings and investment plan or deferred compensation plan (if eligible), with an employer match of 100% on the first 3% of your contributions for eligible employees.