Lead Enterprise Integration Engineer
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-06-17
Listing for:
DataX Connect
Full Time
position Listed on 2026-06-17
Job specializations:
-
IT/Tech
Systems Engineer, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
Location: Houston, TX;
San Francisco Bay Area, CA;
San Diego, CA
Salary: $140,000 - $190,000 annually
Employment Type: Permanent
Are you passionate about shaping the future of energy through innovative automation and AI-driven solutions? Join our forward-thinking team and lead the way in integrating enterprise systems to create smarter, more efficient energy infrastructure. This is your chance to work with cutting-edge technology alongside talented professionals committed to sustainability and innovation. Grow your career in a role where your expertise will truly make a difference.
About The Role:- Design and develop scalable integration systems connecting tools like , Net Suite, SharePoint, Teams, ERP, and internal APIs for AI-powered workflows.
- Create secure, permission-aware API integrations using REST, GraphQL, OAuth, and other industry-standard protocols.
- Transform complex operational workflows into efficient, reusable system interfaces and automated processes.
- Set standards for reliability, security, and observability across enterprise integrations and automation platforms.
- Collaborate with diverse teams to identify needs, implement solutions, and deploy scalable, compliant workflows using modern Dev Ops practices.
- Bachelor’s degree in Computer Science, Software Engineering, or related field;
Master’s preferred. - 5+ years of experience with enterprise system integration, automation, or backend development.
- Strong skills with APIs, SaaS tools, OAuth, RBAC, and secure credential management.
- Proficiency with Azure, Python, Type Script, CI/CD, and operational support for production systems.
- Excellent communication skills to bridge technical teams and business stakeholders effectively.
Skills:
- Experience with large language models, function calling, or AI agent workflows.
- Knowledge of cloud platforms like AWS or Google Cloud.
- Familiarity with industrial automation or energy sector systems.
- Willingness to travel up to 10% domestically.
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