Software Engineer V
Spectraforce Technologies Inc
Job Title: Software Engineer V
Location: Remote, all US
Duration: 6 months (Possibility of extension) Job Description:
Summary:
What makes this role interesting?
Location: Remote, all US
Duration: 6 months (Possibility of extension) Job Description:
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.
- Tools Engineering (full stack)
- GraphQL / PHP / ORM Framework experience
- AI Development Workflows
- Next.js / Vercel
- Salesforce and CRM Knowledge
- 10+
- 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.
- 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.
- Bachelor's degree in computer science, software engineering, or relevant field required.
- 7+ years of professional software engineering experience preferred.
- 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.
- 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
- 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 at Client, 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.
- Candidates who only have Salesforce experience and nothing else are not a fit-the team is seeking generalists, not Salesforce-only specialists.
- How many rounds of interviews? 3
- Types of Interviews : Software Engineering (SWE), Data Engineering (DE), Business Operations (Biz Ops)
- Interview Duration : 45 min
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