AVP, Forward Deployed Engineer

April Housing

$127K — $170K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in computer science, engineering or related experience
  • Strong leadership and people management skills
  • Minimum of 7 years’ experience in software engineering
  • Significant experience developing applications in Python or .NET
  • Significant experience in building cloud-based solutions (Azure or AWS)
  • Experience building serverless workloads on Azure or AWS
  • Solid understanding of event-based and containerized workloads
  • Experience developing and supporting REST APIs
  • Knowledge of testing methodologies and test-driven development

Responsibilities

  • Lead and contribute to engineering projects for PortCos and Blackstone
  • Design, develop, and maintain modern software solutions
  • Utilize data to drive business insights and support decision-making
  • Develop event-driven, serverless microservices
  • Implement scalable solutions in the cloud
  • Identify and automate edge cases early in the development process
  • Ensure thorough application logging and monitoring

Benefits

  • Health insurance coverage
  • Retirement savings plan
  • Paid holidays and paid time off (PTO)
  • Hybrid work policy
  • Productivity hours for meeting-free work
  • Summer Fridays
  • Work from Anywhere Month
  • Learning and development opportunities
  • Generous health and wellness benefits
Full Job Description
WHY THIS ROLE IS VALUABLE

The AVP, Forward Deployed Engineer is responsible for partnering directly with business stakeholders, portfolio companies, and technology teams to design and deliver scalable AI, data, and cloud solutions that solve complex business challenges. This role sits at the intersection of software engineering, data engineering, and consulting, translating business requirements into production-ready solutions that drive measurable outcomes.

The ideal candidate combines strong Python engineering expertise with experience building modern cloud-native solutions on Azure. They are comfortable working directly with end users, rapidly prototyping solutions, developing scalable data pipelines, and deploying AI-enabled applications using modern data platforms such as Databricks and Snowflake.

HOW YOU ADD VALUE

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, Data Science, or related field
  • 7+ years of experience in software, data, or platform engineering
  • Advanced Python development experience with strong software engineering fundamentals
  • Experience designing and deploying cloud-native solutions in Azure
  • Experience building and supporting distributed, scalable applications and microservices
  • Experience developing and consuming REST APIs
  • Strong understanding of event-driven architectures and serverless computing
  • Experience with CI/CD pipelines, automated testing, and DevOps best practices
  • Strong communication and stakeholder management skills
  • Proven ability to translate business requirements into technical solutions

Preferred Qualifications

  • Hands-on experience with Databricks and modern data engineering frameworks
  • Experience with Snowflake data warehousing and analytics platforms
  • Experience building AI/ML-enabled applications and solutions
  • Familiarity with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI orchestration frameworks
  • Experience with containerization technologies such as Docker and Kubernetes
  • Experience with monitoring, observability, and application performance management tools
  • Consulting or customer-facing solution delivery experience
  • Experience working across multiple business functions and executive stakeholders

KEY RESPONSIBILITIES

  • Partner with business leaders and portfolio companies to identify opportunities for AI, automation, and data-driven solutions
  • Design, build, and deploy modern cloud-native applications using Python and Azure
  • Develop scalable data pipelines and data products leveraging Databricks and Snowflake
  • Build AI-powered solutions that improve business processes and decision-making
  • Lead technical discovery sessions and translate business needs into architecture and implementation plans
  • Develop APIs, microservices, and event-driven applications supporting enterprise platforms
  • Drive best practices around software development, testing, security, and automation
  • Collaborate closely with product managers, data engineers, architects, and business stakeholders
  • Mentor engineers and contribute to technical standards and engineering excellence
  • Stay current on emerging AI, cloud, and data technologies and identify opportunities for adoption

Base Compensation Range:

$127,000.00 To $170,000.00 Annually. This represents the presently-anticipated low and high end of the Company’s base compensation range for this position. Actual base compensation range may vary based on various factors, including but not limited to location and experience.

Total Direct Compensation:

This job is also eligible for discretionary bonus and incentive compensation on an annual basis.

Benefits: The Company provides a variety of benefits to employees, including health insurance coverage, retirement savings plan, paid holidays and paid time off (PTO).

The additional total direct compensation and benefits described above are subject to the terms and conditions of any governing plans, policies, practices, agreements, or other materials or documents as in effect from time to time, including but not limited to terms and conditions regarding eligibility.

Perks for You

  • Competitive salary, overall compensation, and 401(k)

  • Work-life balance offerings include:

    • Hybrid Work Policy

    • Productivity Hours – weekly meeting-free work time

    • Summer Fridays

    • Work From Anywhere Month

  • In-house and external learning & development opportunities

  • Generous health insurance and wellness benefits

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