Developer (Forward Deployed Engineer)

Allegis Group•Hanover, MD

6h•Hybrid

About The Position

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.

Requirements

Bachelor's 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 (Node.js 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
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

Nice To Haves

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)

Responsibilities

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
Technical leadership across cross-functional teams
Mentoring engineers on rapid prototyping, experimentation, and pragmatic delivery
Influencing design and delivery standards without direct authority
Contributes to licensing projections and vendor assessments

Benefits

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)