Engineering Manager - Servicing & Fulfillment
New
E
ExtendE-commerce, Logistics, FinTech
Remote, USFull-TimeManager
Salary$166,500-$193,500 per year salaried
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Job Details
- Experience
- 10+ years of experience in software development; 3+ years of experience as an Engineering Leader
- Required Skills
- AWSAgileServerlessCI/CDMicroservicesSoftware Engineering
Requirements
- 10+ years of experience in software development, including building and operating production systems in high-volume transactional domains.
- 3+ years of experience as an Engineering Leader (Manager, Director, or equivalent) directly managing engineers.
- Deep understanding of service-oriented and microservice architectures.
- Practical experience designing event-driven systems that prioritize reliability, observability, and data integrity.
- Experience with cloud-native and serverless architectures and infrastructure as code, ideally on AWS.
- Demonstrated ability to partner with Product, Design, and Operations to define roadmaps and ship impactful features.
- Proven track record of building, growing, and leading high-performing engineering teams.
- Experience leveraging AI/LLM-based tools within engineering teams.
- Strong cross-functional collaboration skills.
- Experience fostering a culture of quality and operational excellence (testing strategy, CI/CD, on-call, incident management, SLOs).
Responsibilities
- Actively coach and mentor a team of engineers, fostering their career growth through personalized development plans, regular 1:1s, and actionable feedback loops.
- Provide technical guidance and architectural oversight for event-driven, service-oriented systems that power claim servicing, refunds, exchanges and reverse logistics.
- Collaborate closely with Product Managers, Designers, and Operations leaders to define the roadmap for claim servicing and fulfillment.
- Own the end-to-end delivery of complex features and projects utilizing Agile methodologies and an AI-native SDLC.
- Drive the strategic adoption of AI across the team by championing an AI-native SDLC.
- Drive the team’s operational standards—including on-call rotations, incident response, monitoring, alerting, and automated testing.
- Continuously evaluate and improve engineering workflows to remove bottlenecks and increase developer velocity.
- Serve as the primary point of communication for the team, managing expectations with leadership and cross-functional partners.
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