Job Title: Software Engineer III
Duration: 6 months (Possibility of extension)
Location: Remote
Summary:
- The Software Engineer will support a strategic data platform and tooling migration initiative, transitioning business-critical operations from a third-party SaaS CRM (Salesforce) onto an internal ORM framework data platform with custom AI-native tooling built on top. The engineer will design and build tools on top of data pipelines, full-stack web applications, and integrations between systems, while leveraging AI-assisted development workflows to accelerate delivery. Work spans backend data modeling, ETL/streaming pipelines, frontend application development, and CRM platform integration and CRM Tooling.
Must-Have Skills:
- Tools Engineering (full stack)
- GraphQL / PHP / ORM Framework experience
- AI Development Workflows
Nice-to-have Skills:
- Next.js / Vercel
- Salesforce and CRM Knowledge
Years of overall experience required:
Job Responsibilities:
- Design and implement entity/object schemas in a custom ORM-style data framework (analogous to GraphQL-backed entity systems or domain-driven data platforms).
- Build and maintain real-time data pipelines using distributed event-streaming systems (Kafka or equivalent pub/sub log architectures).
- Integrate with and migrate functionality off Salesforce -- including custom tooling, objects, triggers, Process Builder/Flow automation, database mutation & validation rules, and reporting.
- Build full-stack web applications using Next.js (React + TypeScript), API routes, and modern frontend patterns.
- Use AI-assisted development tools (e.g., Claude Code, Cursor, Copilot) as a core part of the development workflow to accelerate implementation, code review, and refactoring.
- Define API contracts, data migration strategies, and rollback/conflict-resolution patterns between systems running in parallel during transition.
- Collaborate with data engineers, Salesforce administrators, and business stakeholders to validate functional parity between legacy and replacement systems.
- Skills:
- Strong proficiency in TypeScript/JavaScript and modern React frameworks (Next.js / Vercel preferred).
- Experience with distributed event-streaming or message-bus systems (Kafka, Pulsar, Kinesis, or equivalent).
- Experience with data warehouse technologies (Hive, Spark, BigQuery, Snowflake, or equivalent) and SQL.
- Comfort with entity-modeling frameworks, ORMs, or GraphQL schema design.
- Familiarity with Salesforce platform development -- Apex, SOQL, custom objects, Lightning components, and SF data model -- strongly preferred. Salesforce Administrator or Developer certification is a plus.
- Hands-on experience using AI coding assistants (Claude Code, Cursor, GitHub Copilot, etc.) as part of a daily development workflow.
- Verbal and written communication skills, problem solving skills, customer service and interpersonal skills.
- Strong ability to work independently and manage one's time.
- Strong knowledge of the full software development lifecycle: from business/systems analysis, through requirements gathering and functional specification authoring, to development, testing and delivery.
- Strong ability to troubleshoot issues and make system changes as needed to resolve issues.
- Experience with data migrations between heterogeneous systems is highly desirable.
Education/Experience:
- Bachelor's degree in computer science, software engineering, or relevant field required.
- 7+ years of professional software engineering experience preferred.
Surrounding team & key projects:
- Developer Ecosystem Success is part of the Metaverse Content organization, and contains two engineering teams, Metaverse Partner Engineering and Developer Relations Engineering. They are tasked with improving the quality of all content available on the Horizon store, in service to the ultimate goal of creating a self-sustaining developer ecosystem.
- The teams work closely with developers through all phases of development and submission, providing invaluable design direction, performance analysis, API and integration help and debugging. Each team has a different focus, please contact the team leads for additional detail.
- The engineering teams of Developer Ecosystem Success are the liaison between internal software teams and external partners, and serve as the spokespeople for developer needs.
Typical Day-to-Day in the role:
- Building internal applications to replicate and improve upon existing Salesforce based, CRM functionality
- Consulting with cross-functional (XFN) partners to identify necessary changes
- Integrating with third-party applications and ensuring data
- Identifying pain points and troubleshooting issues
- Collaborating with Data Engineers to ensure correct data is being pulled and processed
- Working with full-time employees (FTEs) to ensure alignment on what they're building
- Testing and creating automated CI/CD tests for functional parity and reliability
How will performance be measured:
- Collaboration effectiveness with partners and cross-functional teams
- Development velocity and delivery against project milestones
- Quality and reliability of tools
- Successful migration of Salesforce functionality to internal platforms
- Documentation quality for handoff to long-term maintainers
- Ability to troubleshoot and resolve issues independently
What makes this role interesting:
- This is a unique opportunity to work on a high-impact, strategic initiative, helping to bring a business-critical Salesforce instance in-house and rebuild it using modern, AI-native internal tooling. Engineers in this role will gain hands-on experience with client's internal data infrastructure, including Scribe (Client's distributed event-streaming platform) and custom entity-modeling frameworks, while working at the intersection of full-stack development, data engineering, and CRM systems. The role offers significant autonomy and the chance to shape how the Developer Ecosystem Success organization operates, directly impacting client's ability to support external developers building for the Horizon platform. Candidates will collaborate closely with data engineers, business operations stakeholders, and partner teams, gaining broad exposure across technical and business domains. With AI-assisted development tools integrated as a core part of the workflow, this is an ideal role for engineers who want to be at the forefront of how modern software is built.
Interview Process:
- How many rounds of interviews: 3
- Types of Interviews: SWE, DE, Biz Ops
- Interview Duration: 45 min
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Spectraforce Technologies
May 14, 2026