Senior Software Engineer II managing scalable services for Instacart's shopper lifecycle. Collaborating with cross-functional teams to enhance shopper activation and engagement.
Responsibilities
Lead the design, architecture, and delivery of highly scalable services that power the shopper lifecycle, including onboarding, eligibility, work evaluation, earnings, ratings and quality, recognition, safety, and retention.
Set technical direction for domain migrations and platform modernization; define patterns, interfaces, and standards that improve reliability, performance, and developer productivity across multiple services and codebases.
Partner with Product, Design, and Data Science to shape roadmaps and success metrics; experiment, measure, and iterate to improve activation, engagement, and retention outcomes.
Champion AI enablement across the team by building internal tooling and agentic automations that accelerate development, testing, and operations; integrate AI safely and measurably into the engineering lifecycle.
Orchestrate complex cross-functional programs with dependencies across R&D and business partners (e.g., Logistics, Identity & Fraud, Transaction Platform, Mobile Foundations, Operations, Legal, Trust & Safety, CRM); align stakeholders and deliver under tight timelines.
Uplevel operational excellence—observability, incident response, SLAs/SLOs, performance tuning—while mentoring engineers through design reviews, documentation, and pair programming.
Requirements
7+ years of professional software engineering experience building and operating production systems at scale.
3+ years architecting and owning distributed systems with high availability and low latency (e.g., microservices, event-driven architectures, streaming/queues).
Proficiency in at least two of: Go, Java, Kotlin, Python; plus hands-on experience with cloud infrastructure (AWS or GCP), containers/orchestration (Docker, Kubernetes), and data technologies (SQL/NoSQL, Redis, Kafka or Pub/Sub).
2+ years leading cross-functional technical initiatives with multiple teams and external dependencies through delivery under tight deadlines.
Hands-on experience integrating AI into the development lifecycle (e.g., code or test generation, CI/CD automation, observability or incident triage) with measurable impact on productivity and quality.
Proven partnership with Product, Design, and Data Science to define requirements and ship user-facing features.
Track record of mentoring engineers and elevating team practices through design reviews, documentation, and knowledge sharing.
Bachelor’s degree in Computer Science or related field, or equivalent practical experience.
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