Slingshot Aerospace

Vice President of Engineering – Cloud, Data, and AI/ML Solutions

Slingshot Aerospace

full-time

Posted on:

Location Type: Remote

Location: Remote • Arizona, California, Colorado, District of Columbia, Florida, Hawaii, Illinois, Kansas, Maryland, Massachusetts, Minnesota, Missouri, Montana, Nevada, New Jersey, New Mexico, New York, North Carolina, Oregon, Rhode Island, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin • 🇺🇸 United States

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Job Level

Lead

Tech Stack

Amazon RedshiftAngularAWSAzureCloudElasticSearchJavaScriptKafkaMicroservices.NETReactTableau

About the role

  • Define and execute the engineering strategy across cloud, data, and AI/ML domains.
  • Lead the design and implementation of secure, scalable platforms that support real-time data processing and analytics.
  • Champion engineering excellence, agile practices, and a culture of innovation and continuous improvement.
  • Collaborate with cross-functional leaders in Product, Security, DevOps, and Data Science to deliver impactful solutions.
  • Mentor and grow a high-performing team of engineers, architects, and technical leaders.
  • Ensure compliance with regulatory and security standards such as NIST/FISMA 800-53.
  • Lead and scale high-performing engineering teams across geographies, fostering a culture of innovation, accountability, and continuous improvement.
  • Architect and deliver secure, scalable, and resilient cloud-based solutions (AWS/Azure) with a focus on data platforms, APIs, and streaming technologies.
  • Drive the adoption and integration of AI/ML capabilities into products and platforms to enhance automation, analytics, and decision-making.

Requirements

  • 15+ years of experience in software engineering, with at least 5 years in a senior leadership role.
  • Proven experience delivering enterprise SaaS products and platforms in cloud environments (AWS, Azure).
  • Deep expertise in:
  • Cloud Technologies: AWS, Azure, Microservices, Kafka
  • Big Data & Streaming: Databricks, Snowflake, RedShift, EMR, Kinesis
  • API Development: .NET Core, FastAPI, Apigee
  • Frontend/UI: React, Angular, JavaScript
  • Authentication & SSO: Azure AD, OKTA, OneLogin
  • Search: ElasticSearch, SOLR, OpenSearch
  • BI Tools: Tableau, Power BI, AWS QuickSight
  • Demonstrated experience in AI/ML solution design and implementation, including model development, deployment, and MLOps.
  • Strong understanding of data governance, security, and compliance in regulated environments.
  • Excellent leadership, communication, and stakeholder management skills.
  • US Citizen; Hold or willing to hold a clearance
Benefits
  • Health insurance
  • 401(k) matching
  • Paid time off
  • Flexible work hours
  • Professional development
  • Remote work options

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
cloud technologiesAWSAzuremicroservicesKafkaDatabricksSnowflakeRedShiftEMRKinesis
Soft skills
leadershipcommunicationstakeholder managementmentoringcollaborationinnovationaccountabilitycontinuous improvementengineering excellenceagile practices
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