Staff Forward Deployed Engineer, Platform

eSimplicity

. Partner with internal stakeholders to identify high-value operational or mission problems, clarify needs, define success measures, and create executable solution approaches .

Posted 10/23/2026full-timeColumbia • Maryland • United StatesLead💰 $145,000 - $215,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in platform engineering, cloud infrastructure, and AI applications, with a strong focus on building secure solutions and integrating systems. Proven ability to mentor teams, engage stakeholders, and translate complex problems into actionable prototypes and MVPs.

Highest-signal resume keywords

Platform EngineeringCloud InfrastructureCI/CD AutomationAI/ML EngineeringStakeholder Engagement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringData EngineeringIntegration ArchitectureSecure Solutions DesignObservability PracticesAgile MethodologiesTechnical PlanningBacklog ManagementPrototypingMVP Development

Soft Skills

Executive CommunicationTechnical CommunicationMentoringCollaborationCoaching

Tools & Technologies

Atlassian JiraAtlassian ConfluenceDatabricksPalantirCI/CD PipelinesCloud ServicesIdentity ControlsMonitoring ToolsDeployment AutomationInfrastructure-as-Code

Industry Keywords

Federal ExperienceDoD ExperienceHealth IT ExperiencePrivacy RegulationsGovernance StandardsResponsible AIPII ProtectionPHI ProtectionAuditabilityTechnical Consulting

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Partner with internal stakeholders to identify high-value operational or mission problems, clarify needs, define success measures, and create executable solution approaches
Conduct interviews, discovery sessions, and workflow analysis with product and design stakeholders
Translate insights into user-centered concepts, interaction patterns, prototypes, and validation approaches
Contribute directly to architecture, code, integrations, demos, AI applications, data solutions, platform services, prototypes, and MVPs from discovery through validation and transition planning
Make technical tradeoffs across speed, security, scalability, reuse, maintainability, cost, operational readiness, and mission value
Design and integrate systems, APIs, data sources, cloud services, CI/CD pipelines, infrastructure-as-code, release automation, identity controls, observability, monitoring, and deployment automation
Build and evolve reusable platform capabilities, developer workflows, CI/CD templates, infrastructure automation, environment patterns, data integration patterns, secure cloud patterns, and shared technical components
Apply security, privacy, and responsible AI expectations, including PII/PHI protection, access control, auditability, transparency, human oversight, and governance escalation
Mature successful work into reusable components, implementation patterns, reference architectures, adoption guidance, and transition plans
Enable adoption through workshops, whiteboarding sessions, onboarding materials, playbooks, technical reviews, and coaching
Mentor engineers, architects, and delivery teams by sharing patterns and reviewing solution approaches
Work primarily with internal teams while engaging external customers when needed to understand mission context, validate assumptions, or support programs and pursuits

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Information Systems, Engineering, Math, or a related scientific or technical discipline
7+ years of hands-on software, data, platform, cloud, or AI engineering experience
Ability to build solutions directly while influencing technical direction across areas such as discovery, solution architecture, stakeholder engagement, backlog shaping, or implementation planning
Strong hands-on depth in platform engineering, DevOps, cloud infrastructure, CI/CD, automation, observability, identity, and secure integration patterns
Working fluency in full-stack engineering, data engineering, AI/ML engineering, or integration architecture as needed
Demonstrated ability to take ambiguous problems to working prototypes or MVPs quickly
Strong stakeholder-facing skills with executives, program leaders, engineers, security stakeholders, capture teams, and government customers when needed
Experience integrating systems, APIs, data sources, cloud services, and modern AI technologies, including LLM and agentic approaches, in secure enterprise or government environments
Experience designing and building secure solutions handling PHI, PII, or other sensitive data
Working knowledge of privacy, authorization, governance, auditability, and responsible AI expectations
Working knowledge of cloud services, infrastructure automation, CI/CD, build and release pipelines, identity, observability, monitoring, environment management, data integration, secure integration patterns, and reusable platform or developer-enablement capabilities
Experience designing or operating observability practices, including logging, metrics, tracing, dashboards, alerting, service health indicators, and operational feedback loops
Excellent executive, technical, and written communication skills
Experience leading work in Agile or SAFe environments, including backlog management, technical planning, delivery coordination, and Atlassian Jira/Confluence
Ability to obtain and maintain a Public Trust
Must reside in the United States
Preferred: Federal, DoD, or health IT experience
Preferred: Hands-on experience with Databricks, Palantir, LLM and agentic AI applications, MCP servers, agents, retrieval-based solutions, and governed AI workflows
Preferred: Forward-deployed engineering, technical consulting, solution architecture, platform engineering, or senior engineering experience
Preferred: Experience mentoring engineers, shaping technical standards, reviewing architectures, and improving engineering quality
Preferred: Relevant certifications or advanced training

Benefits

Comp & perks

Medical, dental, and vision coverage
401(k) retirement benefits
Paid time off
Paid holidays
Life and disability insurance
Wellness and employee support programs
Hybrid work environment
Occasional travel for training and project meetings, estimated at less than 5% per year