
Engineering Manager
Rebuy Engine
full-time
Posted on:
Location Type: Remote
Location: United States
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Salary
💰 $150,000 - $195,000 per year
Tech Stack
About the role
- Lead, support and empower a team of brilliant engineers by fostering collaboration, innovation and ownership.
- Lead technical architecture decisions for scalable data processing systems handling on Google Cloud Platform (GCP).
- Drive technical strategy for data ingestion, processing, and storage solutions.
- Collaborate with our Product Owners and other Engineering Managers to define clear functional requirements, timelines, roadmaps, and designs for your team.
- Oversee production monitoring, incident response, and blameless post-mortem processes to continuously improve system reliability.
- Own the full SDLC execution aligned with Rebuy’s product roadmap.
- Manage team resources by clarifying requirements, removing blockers, and overseeing tasks prioritizations.
- Oversee release management, ensuring smooth QA and production rollouts.
- Develop and maintain dashboards, logging and alerting systems for proactive issue resolution.
- Improve operational efficiency by reviewing development processes, testing strategies, code reviews and release management.
- Communicate and present to stakeholders and internal teams regarding roadmaps, updates, release schedules, etc.
Requirements
- Educational background in CS // Engineering.
- 10+ years of hands-on software engineering experience with progression into technical leadership, especially in a remote work environment.
- 3-5+ years of engineering management experience leading data/infrastructure teams.
- Experience with Google Cloud Platform, Kubernetes Engine, BigQuery, Git Workflows, CI/CD.
- Experience with Golang (Go), Relational Databases, Google Cloud Bigtable or similar NoSQL/column-family stores (e.g., Apache HBase, Cassandra).
- Strong understanding of distributed systems, consistency models, and microservices architecture.
- Proficient in RESTful API design, GRPC, and message queue technologies (e.g., Pub/Sub, Kafka).
Benefits
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Applicant Tracking System Keywords
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Hard Skills & Tools
software engineeringtechnical leadershipdata processingdistributed systemsmicroservices architectureRESTful API designGolangrelational databasesNoSQLmessage queue technologies
Soft Skills
collaborationinnovationownershipcommunicationteam managementproblem-solvingstakeholder engagementresource managementincident responsecontinuous improvement