Chiri · 3 days ago
Senior Software Engineer (Data Connectors & Integration Platform)
United States
Full-time
Remote
Senior Level
5+ years expChiri is an AI Services firm that helps teams work smarter by integrating AI into their workflows. They are seeking a Senior Software Engineer to play a pivotal role in client-facing AI audits and internal platform development, focusing on building data connectors and integrations for various systems.
Computer Software
Responsibilities
Engage directly with engineering teams at client organizations to conduct comprehensive AI audits
Using our provided questionnaires and frameworks, evaluate their AI readiness, adoption capacity, and potential barriers (e.g., integration challenges or cultural resistance)
Provide actionable insights on workflow acceleration, compliance in regulated sectors, and sustainable AI embedding—all while building trust through empathetic, conversational interactions
Design, prototype, and implement internal tools for our client intelligence platform
This includes building features for sharing ROI metrics on AI adoption, integrating AI workflow builders, and creating streamlined automations to enhance client servicing
Focus on rapid MVP development in TypeScript/Vite with AWS infrastructure, ensuring scalability and user-friendly interfaces for tracking productivity gains like cost savings or faster deployments
Collaborate cross-functionally with our consulting team to align tools with client needs, such as tailoring solutions for HR (e.g., talent management), Finance (e.g., risk analysis), or Engineering (e.g., automated testing)
Independently develop and iterate on features, adhering to project direction and using task management tools like Linear or JIRA for efficient tracking and delivery
Leverage AI tooling (provided by us) to boost your productivity, such as Cursor, Claude Code, or OpenAI's Codex CLI, while prototyping solutions that deliver short-term wins and long-term impact
Design Connector Patterns: Build a reusable connector framework for vendor ingestion (Proofpoint/LMS) and downstream publishing (Workday), including versioning and schema evolution
Implement the canonical event/data structures (e.g., training activity, completion, assignment, competency/risk signals) aligned to the HR Consultant’s data dictionary and mapping strategy and Shareable Content Object Reference Model (SCORM standards)
Develop configurable transformation rules so mappings can be updated without re-deploying core services (where feasible)
Implement validation, deduplication, idempotency, reconciliation reports, and error quarantining
Build and maintain integrations using REST/SOAP APIs, webhooks, and/or SFTP extracts depending on vendor capabilities (Workday/LMS constraints)
Enforce strict privacy requirements (minimal PII, no PHI) through field-level controls, tokenization/pseudonymization where appropriate, and secure storage/transport
Engineer for retries, backoff, rate limits, pagination, async processing, and throughput scaling for enterprise volumes
Co-develop 'Future LMS' technical onboarding patterns and connector runbooks to accelerate migrating from SumTotal to Cornerstone or other platforms
Own automated tests (unit/integration/contract), test harnesses with representative payloads, and support HR-functional PoC test cycles
Translate HR reporting needs and competency/risk definitions into implementable fields, events, and Workday-compatible constructs
Produce runbooks, monitoring dashboards, and incident response workflows; support go-live and hypercare
Ensure the integration produces traceable, reproducible evidence (timestamps, source-of-truth identifiers, processing logs) aligned with compliance and retention policies
Represent engineering in sessions with IT, Security, Legal, and HR to align on security posture, data retention, and approval workflows
Qualification
Required
Bachelor's degree in Computer Science, Software Engineering, or a related field
2-4 years of professional software engineering experience, with proven ability to build and deploy MVPs rapidly in tech stacks you're comfortable with
Proficiency in TypeScript, Vite, and AWS (e.g., for building scalable web applications and cloud infrastructure)
Experience with AI-assisted development tools like Cursor, Claude Code, or OpenAI's Codex CLI—demonstrating how you've used them to accelerate coding workflows
Strong English proficiency both written and verbal at CEFR C1 Level for non-native speakers for clear communication in client interactions, documentation, and team collaboration
Ability to work independently on feature development while following structured task management in tools like Linear or JIRA
Passion for AI's role in driving measurable outcomes, such as workflow efficiency and cultural adoption
5-7+ years building production integrations, backend systems, or data platforms in enterprise environments
Proven experience integrating with HRIS/LMS systems or similar enterprise SaaS platforms via APIs, webhooks, and/or SFTP feeds
Strong skills in transformation pipelines, schema management, data validation, and canonical modeling
Practical experience building systems under strict privacy/security constraints (PII handling, least privilege, encryption, audit logging)
Prior experience in Healthcare or highly regulated industries (Biotech, Pharma, Finance) with sensitivity to PII/PHI boundaries
Preferred
Experience integrating with Workday (RaaS, EIB, Studio, APIs) and/or LMS platforms like Cornerstone or SumTotal
Familiarity with Proofpoint Security Awareness (or similar platforms) and security awareness telemetry patterns
Experience building stateless middleware, data abstraction layers, or connector frameworks intended to support multiple vendors over time
Consulting experience delivering to Fortune 500 clients with stakeholder-heavy governance
Benefits
Opportunities to grow with us as we evolve product innovation, with access to cutting-edge AI tools and training.
A fast-paced global remote team environment where your contributions directly impact high-growth clients in tech-forward industries.
Company
Chiri
AI is moving fast—and most teams are fragmented trying to keep up. You’ve seen the demos. You’ve run the pilots.
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase