Head Engineering

Role Summary

We’re hiring a hands-on Head of Engineering (India) who will code daily while leading and scaling an India-based engineering team. This is a “player/coach” role: you will set architecture, ship core platform capabilities, build team execution muscle, and own delivery quality for an enterprise-grade product.

You’ll report to the CEO/Co-founder and partner closely with Product, Design, and Customer teams in the US.

What You’ll Do (Responsibilities)

Hands-On Engineering (Core Expectation)

• Write production code daily across backend services, APIs, data pipelines, and workflow orchestration
• Own key technical components end-to-end (design → build → test → deploy → operate)
• Lead by example on code quality, performance, reliability, and security

Platform Architecture & Delivery

• Build and evolve platform foundations: multi-tenant, secure, stateless services; scalable ingestion and workflow pipelines
• Design a reusable integration framework (API/webhooks/SFTP/email ingestion/connectors) to connect to custodians, admins, CRMs, IBOR/reporting systems, and data warehouses
• Establish engineering cadence: sprint planning, release management, incident response, on-call, retros

AI Workflow Engine (“Control Plane”)

• Ship the AI workflow layer: ingest → extract → validate → exceptions → approvals → publish
• Implement human-in-the-loop review, confidence scoring, source linking, and full audit trails
• Operationalize AI safely: evaluation, monitoring, rollback, and controlled access patterns

Security & Enterprise Readiness

• Own RBAC/permissions, audit logs, encryption, data lineage, retention policies
• Drive enterprise requirements and security reviews; contribute to SOC2/ISO readiness (as applicable)
• Build secure SDLC practices: CI/CD, automated testing, dependency scanning, code review rigor

Team Leadership (Build & Scale India Engineering)

• Hire and mentor strong engineers across backend, frontend, data/AI, QA, and DevOps
• Set technical standards and create a culture of ownership and high velocity
• Ensure the team can support 3 implementations in parallel via repeatable templates, tooling, and disciplined scope control

What Success Looks Like (First 6–12 Months)

• Deliver a repeatable product deployment that achieves meaningful go-live in 60–90 days
• Ship core capabilities:
• document ingestion + catalog/search + audit trails
• workflow orchestration + exception management
• onboarding templates + reporting workflows
• AI-assisted summaries and “what changed” views (source-linked, permission-aware)
• Reduce dependency on bespoke work via templates, configuration, and standard connectors
• Establish reliable engineering operations: on-call health, observability, predictable releases

Requirements

Must-Have

• 10–15+ years of engineering experience, including 3–6+ years leading teams
• Proven delivery of enterprise SaaS products (multi-tenant, secure, high availability)
• Strong backend engineering background (distributed systems, APIs, async/event-driven patterns)
• Demonstrated ability and willingness to be hands-on and code daily
• Experience building integrations with external systems (APIs, SFTP, file-based imports, webhooks)

Strong Plus

• Fintech/wealth/asset management domain experience
• Document intelligence: classification, extraction, search, OCR/NLP
• Workflow engines / orchestration (queues, state machines, retries, idempotency)
• Security/compliance experience (SOC2/ISO, audit logging, RBAC, encryption/KMS)
• Snowflake/data warehouse patterns; search stack (Elasticsearch/OpenSearch)

Technical Skills (Representative)

• Backend: Python/Java/Go/Node (flexible), microservices, REST/GraphQL
• Data: ETL pipelines, queues/streams, document storage, search, Snowflake
• Cloud/DevOps: AWS/Azure/GCP, Docker/Kubernetes, CI/CD, observability (logs/metrics/traces)
• AI enablement: model integration, evaluation/monitoring, human-in-loop design