Lead Backend Developer

Requirements

• 7+ years of professional software engineering experience, with a strong track record of building and operating backend or platform systems in production
• Significant experience designing and operating distributed, event-driven, or high-scale backend systems
• Strong architectural judgment around stateful services, real-time or near-real-time decisioning, asynchronous processing, system reliability, and production operations
• Hands‑on technical leadership experience: you are comfortable being the go‑to person for unblocking, reviewing, mentoring, and leading complex technical initiatives end‑to‑end
• Experience translating ambiguous product goals into pragmatic technical designs and incremental execution plans
• Familiarity with systems that process high‑volume event data, such as event stream processing, behavioral analytics, pub/sub systems, workflow systems, rule engines, or decisioning engines
• Strong understanding of distributed systems concerns such as retries, duplicate events, ordering, late‑arriving data, idempotency, backfills, partial failures, tenancy, and data consistency tradeoffs
• Experience building scalable backend services in cloud environments, preferably Google Cloud Platform
• A strong focus on operational excellence — building reliable systems with monitoring, alerting, logging, tracing, incident response, and shared ownership of on‑call responsibilities for business‑critical services
• Clear communication skills and the ability to translate technical tradeoffs into practical decisions with Product, Design, engineering partners, and business stakeholders
• A collaborative, product‑minded approach to platform engineering — balancing technical quality with customer value and delivery momentum
• If you’re excited about the role but don’t meet all of the abovementioned qualifications, we encourage you to apply

What the job involves

• We’re looking for a Lead Software Engineer to join the Behavioral team, responsible for turning raw customer signals into meaningful marketing triggers
• This team builds the behavioral intelligence layer of our platform — systems that detect patterns in customer activity and inactivity (such as cart abandonment, price drops, or loyalty milestones) and translate them into automated messaging opportunities
• This is a hands‑on technical leadership role for someone who thrives at the intersection of big‑picture architecture and heads‑down implementation
• You’ll help shape the technical direction for a critical platform capability while also staying close to the details: designing systems, writing code, reviewing implementation, mentoring engineers, and unblocking the team on complex technical problems
• You’ll work on challenging distributed systems problems involving high‑volume event data, event correlation, temporal windows, stateful evaluation, trigger eligibility, account‑specific readiness, idempotency, reliability, observability, and downstream activation
• The systems you help build will power use cases like cart abandonment, browse abandonment, checkout abandonment, price drops, back‑in‑stock alerts, loyalty milestones, replenishment reminders, and audience membership changes
• Shape the Behavioural Platform Architecture: Help define the technical vision, system boundaries, and architecture for services that transform customer activity signals into actionable trigger events
• Lead by Example: Be a hands‑on technical leader who contributes directly to high‑impact work through design, implementation, code review, debugging, and production support
• Build the Behavioural Decisioning Engine: Design and implement services that detect behavioral patterns across events, correlate signals across time windows, and determine trigger eligibility
• Design Stateful Contact Context: Help architect systems that maintain the short‑lived behavioral state and lookback windows needed to evaluate patterns such as “action without completion,” multi‑event intent signals, and state‑change‑driven triggers
• Establish a Reusable Pattern Framework: Help build declarative or rule‑based capabilities that allow new behavioral triggers to be defined, configured, evaluated, and extended efficiently over time
• Mentor & Guide Engineers: Provide day‑to‑day technical guidance, unblock engineers, review designs and code, and help raise the technical bar for the team
• Plan & Deliver: Partner with the Engineering Manager and Product to turn ambiguous goals into clear technical plans, milestones, and incremental delivery paths
• Partner Across the Platform: Collaborate closely with partner engineering teams to ensure behavioral signals integrate cleanly into campaign orchestration and message delivery systems
• Drive Operational Excellence: Ensure Behavioural services operate reliably at scale as they process high volumes of customer activity signals. Use observability, metrics, traces, logs, alerts, and postmortems to continuously improve system quality
• Influence Technical Direction Broadly: Represent the Behavioural team in architecture discussions and help create alignment around technical patterns, dependencies, and platform interfaces