What you'll do
Personalization (primary focus)
Set technical direction for the personalization service (NestJS/TypeScript, MongoDB, Apollo GraphQL federation), including the real-time trait ingestion and activation-hub re-architecture
Design and review the systems that power Switchboard, our internal targeting and config layer built on top of Statsig, for personalized slot delivery
Own the hard technical calls on trait ingestion and activation logic that feeds real-time personalization decisions across buyer surfaces
Guide transactional email personalization (Knock) architecture for order confirmations, shipment updates, and lifecycle messaging
Set standards for how personalization services work within the WunderGraph federation gateway and JWT sidecar
Partner with Product and the Personalization Lead on technical strategy, and review designs and code across the squad to keep the bar high
Mentor L3/L4 engineers on the team and represent Personalization in cross-squad technical discussions, including with Intelligence
Agentic development
Use AI coding agents (Claude Code, Cursor, or similar) daily to accelerate feature work, technical design, and code review
Write and maintain agent-readable context files (CLAUDE.md, AGENTS.md) and skills that encode personalization-service conventions so agents produce code that passes review
Define guardrails and scaffolding that keep agent-generated code aligned with our architecture, testing, and data-handling standards
Evaluate agent output quality, iterate on prompts and workflows, and bring a point of view on where agentic tooling fits into the team's day-to-day
Mentor other engineers on the squad in using agentic tooling effectively
Intelligence (cross-squad support)
Pitch in on marketing attribution and enhanced conversion tracking work, primarily dbt models running against Snowflake
Support CDP (Segment) event and trait governance,



including schema and model changes in dataengineering-dbt-segment
Help triage data quality issues flagged by Monte Carlo observability monitors
Contribute to Unified Account data model work as capacity allows

What you'll bring
Required
8+ years of back-end software engineering experience, including time operating at a staff-level scope (driving architecture and technical direction, not just executing tickets)
Strong TypeScript/Node.js experience; comfort with NestJS or a similar framework, and building/maintaining REST or GraphQL APIs in production (Apollo federation a plus)
Hands-on daily use of AI coding agents (Claude Code, Cursor, or similar), including writing context files, skills, or rules that shape agent output
Solid experience with MongoDB or a similar document store
Familiarity with containerized deployments (Docker, Kubernetes) and infrastructure as code (Terraform)
Strong debugging instincts in distributed, service-oriented systems
Track record of mentoring engineers and reviewing designs/code at a high bar
Nice to have
Comfort reading and writing SQL against a contemporary cloud data warehouse (Snowflake) and exposure to dbt/ELT pipelines
Experience with event-driven architectures or CDPs (Segment or similar), and familiarity with marketing attribution or adtech concepts
Experience with feature flagging or experimentation platforms (Statsig, LaunchDarkly)
Experience with GraphQL federation (Apollo, WunderGraph)
Background in personalization, recommendation systems, or martech

What this role is not
This is not a people-management role - staff here means technical scope and influence, not direct reports. It's also not a full-time data engineering role: Personalization is home base and where most of your time goes, and the Intelligence work is a cross-squad contribution, not a pipeline you own end to end. If you want a role that combines deep technical ownership, hands-on agentic development, and enough range to flex into the data side of MarTech, this is that role.

📌 Staff Back-End Engineer (Hyderabad)
🏢 Canterr
📍 Hyderabad