Developer (Forward Deployed Engineer) at Allegis Group

Hanover, Maryland, United States -

Full Time

Start Date

Immediate

Expiry Date

29 Aug, 26

Salary

182426.0

Posted On

31 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Full-stack Engineering, TypeScript, Node.js, React, System Design, Cloud Infrastructure, Infrastructure-as-Code, SQL, API Integration, AI Orchestration, Salesforce, Agile Methodology, Rapid Prototyping, Analytical Thinking, Technical Leadership, Problem Framing

Industry

Staffing and Recruiting

Description

Overview 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. Responsibilities 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 Qualifications Minimum Education and/or Experience: 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 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: $121,582 - $182,426 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. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email Lauren Lara at llara@allegisgroup.com or call 410-579-3526 for other accommodation options.

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Responsibilities

Rapidly design, build, and deploy technical proofs-of-concept and AI-enabled solutions to validate business value within the Connected program. Bridge the gap between engineering and business stakeholders to iterate on software based on real-world user feedback.