> Markdown version of [/jobs/ext/4548194-software-engineering-manager-cloud-data-platforms](https://www.wearedevelopers.com/jobs/ext/4548194-software-engineering-manager-cloud-data-platforms). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Software Engineering Manager - Cloud Data Platforms

- **Company:** Everpure, Inc.
- **Location:** Santa Clara, CA, United States
- **Salary:** $190,000.0 - $240,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Amazon Web Services, Microsoft Azure, Cloud Computing, Databases, Continuous Integration, Data Warehousing, Distributed Systems, Scrum Methodology, Reliability Engineering, Cloud Services, Software Engineering, Terraform, Microservices
- **Published:** November 3, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=3046818661-2

## About the Role

* Software engineering management
 * Cloud platforms (AWS, Azure, or GCP)
 * Data-intensive and distributed systems
 * Microservices and APIs
 * Database and data warehouse design
 * CI/CD and Dev
 * Ops practices
 * Infrastructure as Code (e.g., Terraform)
 * Monitoring and reliability engineering
 * Agile/Scrum delivery
 * Architecture and technical design

## Description

Everpure, Inc. is seeking a Software Engineering Manager for its Hyperscale Line of Business to lead teams building cloud-native, data-intensive platforms for enterprise clients. You will design and deliver scalable services on AWS/Azure/GCP, guide architecture for analytics and AI workloads, and ensure reliability, performance, and security. Partner closely with data engineers, architects, and client stakeholders, mentor engineers, and drive engineering best practices in an agile, learning-focused culture that values experimentation, ownership, and sustainable high performance., * Lead and mentor software engineers delivering hyperscale, cloud-native data platforms.

 * Define and own technical architecture for scalable, secure, and reliable services.
 * Collaborate with data engineers, architects, and clients to translate requirements into solutions.
 * Establish and enforce engineering best practices, code quality, and Dev
 * Ops standards.
 * Drive delivery using agile methodologies, ensuring on-time, high-quality releases.
 * Partner with leadership on roadmap planning, capacity, and prioritization for the hyperscale line of business.