Salesforce Software Engineer

Robert Half
Menlo Park, United States of America
17 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Menlo Park, United States of America

Tech stack

API
Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
Architectural Patterns
Azure
Cloud Computing
Code Generation
Continuous Delivery
Continuous Integration
Customer Data Management
Data Governance
Data Integrity
ETL
Relational Databases
Distributed Systems
Python
Automation of Marketing
Metadata
Node.js
Systems Development Life Cycle
Cloud Services
Next.js
Message Oriented Middleware
Salesforce
Software Engineering
Web Applications
Apex Code
React
Large Language Models
SOAPAPI
GIT
Event Driven Architecture
Information Technology
Checkmarx
Data Pipelines
Marketing Cloud

Job 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.

What You'll Do

Architectural Leadership

  • 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.

Engineering Governance & Quality

  • 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.

CI/CD & Automation

  • 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.

Team Leadership & Mentorship

  • 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.

Requirements

  • 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.

Benefits & conditions

  • You see the Salesforce platform as a starting point, not a constraint. You know where native features shine and where a custom cloud solution is the right call, and you make that call with confidence.
  • You move fast, but never at the expense of standards. You build the frameworks and automation that ensure every line of code, however it was written, is production-grade.
  • You stay ahead of the curve on cloud data architecture and agentic workflows. You're energized by hard problems and you bring that energy to the people around you.

About the company

Robert Half and Protiviti run one of the most sophisticated Salesforce ecosystems in the professional services industry. We don't just administer the platform; we treat it as a core architectural component of a hybrid cloud environment that bridges Salesforce (Sales Cloud) and Azure at scale.

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