Developer (Forward Deployed Engineer)

Job Summary:

The Forward Deployed Engineer (FDE) is an execution-focused engineer embedded directly with business product and delivery teams to rapidly design build and validate high-impact solutions. This role bridges engineering product and business turning problems into working software pilots and proofs of value.

Focused on Connected a multi-year strategic program focused on modernizing and digitizing Sales Recruiting and Marketing capabilities across Allegis Group and its operating companies. The Forward Deployed Engineer (FDE) is a critical execution role within the Connected program responsible for rapidly deploying technical solutions directly into business workflows to validate value inform product investment and accelerate adoption.

The FDE operates at the intersection of AI data platforms and user workflows deploying solutions forward into real environments validating outcomes quickly and informing scale decisions. This role is critical to evidence first delivery rapid experimentation and accelerating enterprise adoption of new capabilities.

Essential Functions:

The Forward Deployed Engineer is responsible for:

• Rapidly translating business problems into working technical solutions
• Building proofs-of-concept and experiments that demonstrate measurable value
• Embedding with stakeholders (Product Business Ops Data UX) to co-design solutions
• Iterating quickly based on user feedback and real-world constraints
• Deploying solutions into live or near-live environments to validate adoption performance and outcomes
• Shaping architecture integration patterns and scalability paths for future productionalization
• Acting as a technical advisor to leadership on feasibility tradeoffs and scale readiness
• Partner directly with stakeholders to understand workflows pain points and success criteria
• Design and implement full-stack or system-level solutions across front-end back-end integrations and data layers
• Build AI-enabled or data-driven capabilities where appropriate (e.g. agents automation decision support)
• Integrate with enterprise platforms (Salesforce APIs data platforms identity messaging)
• Own end-to-end delivery from concept through deployment and measurement
• Instrument solutions to capture usage performance and business impact
• Communicate outcomes clearly to technical and non-technical audiences Identify risks constraints and architectural implications early
• Hand off validated solutions with clear documentation and recommendations for scaling or sunset

Supervisory or Management Responsibility:

• Technical leadership across cross-functional teams
• Mentoring engineers on rapid prototyping experimentation and pragmatic delivery
• Influencing design and delivery standards without direct authority

Budget Responsibility:

• Contributes to licensing projections and vendor assessments

Minimum Education and/or Experience:

• Bachelors degree in computer science Information Systems or equivalent combination of education and work experience
• 8 years of professional software engineering experience
• Strong backend heavy full stack engineering skills with working proficiency in modern frontend frameworks (React or similar)
• Experience building and deploying real-world solutions in production or near-production settings
• Strong experience with TypeScript / JavaScript for backend services ( preferred)
• Strong understanding of system design scalability and performance tradeoffs
• Experience integrating with SaaS platforms (Salesforce Google Snowflake)
• Comfort working with data APIs and automation pipelines
• Experience in Agile or rapid experimentation environments
• Hands-on experience designing and deploying backend services in cloud environments
• Strong experience with infrastructure-as-code
• Experience owning environments end-to-end (local dev prod)
• Familiarity with cloud-native services (compute storage networking IAM)
• Strong backend data experience including SQL-based databases

Preferred Qualifications:

• Recent hands-on experience with agentic or orchestration frameworks for AI-driven applications
• Experience building autonomous or semi-autonomous systems that interact with APIs data stores or workflows
• Familiarity with data platforms analytics or experimentation frameworks
• Salesforce platform knowledge (Sales Service Experience Cloud)

Skills/Abilities:

• Excellent problem-framing and analytical thinking
• Strong communication skills across business technical and executive audiences
• Ability to operate autonomously with minimal direction
• Comfort presenting unfinished work and iterating quickly
• High adaptability in complex enterprise environments
• Bias for action and ownership
• Strong customer empathy and user-centered thinking
• Works on ambiguous high-impact problems not long backlogs
• Optimizes for learning speed and outcome validation not just delivery
• Balances clean design with pragmatism
• Is comfortable operating without perfect requirements
• Influences roadmap and investment decisions through evidence

Core Competencies:

• Building Relationships
• Develop People
• Lead Change
• Inspire Others
• Think Critically
• Communicate Clearly
• Create Accountability

Office Requirements:

• Required in office 2-3 days a week out of our headquarters in Hanover MD or offices in Jacksonville FL

Benefits Overview:

Benefits are subject to change and may be subject to specific elections plan or program terms. This role is eligible for the following:

• Medical dental & vision
• Hospital plans
• 401(k) Retirement Plan Pre-tax and Roth post-tax contributions available
• Life Insurance (Company paid Basic Life and AD&D as well as voluntary Life & AD&D for the employee and dependents)
• Company paid Short and long-term disability
• Health & Dependent Care Spending Accounts (HSA & DCFSA)
• Transportation benefits
• Employee Assistance Program
• Tuition Assistance
• Time Off/Leave (PTO Allegis Group Paid Family Leave Parental Leave)

Salary Range:

• $121582 - $182426
• The position is bonus-eligible

Individual compensation offered for this position within this range will depend on many factors including qualifications skills relevant experience job knowledge geographic location internal equity and other pertinent job-related factors.