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Added 2 days ago
Senior Data & AI Engineer - Managed Services
3Cloud
Remote, United States
Attend regularly cadenced client meetings and serve as lead engineer for technical questions and support tickets
Added 2 days ago
Software Engineer Principal
The Home Depot
Remote, United States
Orchestration and DataOps to build and maintain complex data pipeline workflows;
Added 4 days ago
Azure Data Engineer- Lead
Spyglass
Remote, United States
As a Lead Azure Data Engineer, you will work as part of our Azure Data and Analytics practice by leading the design, development, and delivery of modern cloud data solutions for our…
Added 4 days ago
Operational Excellence Manager
Quest Defense Systems & Solutions, Inc.
Remote, United States
Develop and track quality and process performance measures, dashboards, and KPIs with the BI/DataOps team.
Added 5 days ago
RU
EDA DataOps Quality Engineer (Tester)
Randstad USA
Remote, United States
- $50 to $55 USD / hour
Join our enterprise DataOps Quality Engineering team supporting mission-critical data platforms within the Healthcare and Life Sciences sector. In this role, you will design, build, and…
Added 6 days ago
Senior Data Engineer
Datavail Corporation
Remote, United States
Practical CI/CD, Git, automated testing, infrastructure as code, DataOps, governance and security experience
Added 6 days ago
Staff Forward Deployed Engineer, Platform
eSimplicity
Remote, United States
We’re seeking a Staff Forward Deployed Engineer, Platform to join eSimplicity’s Rapid Innovation Center (the RIC). The Staff Forward Deployed Engineer, Platform works primarily with…
Added 9 days ago
Senior Data Architect
Datavail Corporation
Remote, United States
Define DataOps practices for observability, alerting, lineage, pipeline SLAs and incident response, and hand them over with runbooks
Added 10 days ago
R
Senior Data Engineer
Rearc
Remote, United States
- $155,000 to $190,000 USD / year
As a Senior Data Engineer at Rearc, you'll be the technical anchor on complex, client-facing data engineering engagements - someone who can sit across the table from a client's data…
Added 12 days ago
GM
DataOps Engineer
Greystar Management Services, LLC
Remote, United States
- $120,000 to $150,000 USD / year
Greystar is seeking a DataOps Engineer to join the Data Marketplace (DMP) team. This is a deeply technical, hands-on platform engineering role at the core of Greystar’s enterprise data…
Added 12 days ago
Data Engineer (DevOps / DataOps / Delivery Engineering) - Sr. Associate
SVCS Huron Consulting Services LLC
Remote, United States
Join the Clinical Insights team as a key part of our engineering organization - a Data Engineer who helps keep clinical data pipelines and client-facing applications running reliably across…
Added 12 days ago
Sr. DataOps Engineer, Data Platform
TopDog Law
Remote, United States
We're looking for a Senior DataOps Engineer to own the operations, security, and cost of our data platform. We're migrating from BigQuery to Snowflake, and you'll be the hands-on Snowflake…
Added 17 days ago
AI
Staff Data Engineer
AppFolio Inc
Remote, United States
- $152,000 to $190,000 USD / year
As a Data Engineer on our Business Data Platform (BDP) team, you will own the operational backbone of our data infrastructure and help lead our Secure Data Initiative - the company's active…
Added 23 days ago
Lead Engineer, Integration
DB Franchising USA LLC
Remote, United States
ETL/ELT & DataOps: Strong background in ETL/ELT processes, real-time data processing, DataOps practices
Added 24 days ago
AWS Data Engineer
Qode
Remote, United States
As an AWS Data Engineer, your role will be to design, develop, and maintain scalable data pipelines on AWS. You will work closely with technical analysts, client stakeholders, data…
Added 24 days ago
AWS Data Engineer
Qode
Remote, United States
As an AWS Data Engineer, your role will be to design, develop, and maintain scalable data pipelines on AWS. You will work closely with technical analysts, client stakeholders, data…
Added 25 days ago
Principal Data Engineer
V Cruises US, LLC
Remote, United States
Virgin Voyages is looking for a Principal Data Engineer to set the technical direction for how we build, run, and modernize our data platform. You'll own platform architecture, pipeline…
Added 25 days ago
AWS Data Engineer
Qode
Remote, United States
As an AWS Data Engineer, your role will be to design, develop, and maintain scalable data pipelines on AWS. You will work closely with technical analysts, client stakeholders, data…
Added 25 days ago
AWS Data Engineer
Qode
Remote, United States
As an AWS Data Engineer, your role will be to design, develop, and maintain scalable data pipelines on AWS. You will work closely with technical analysts, client stakeholders, data…
Added 25 days ago
DD
Data Engineer
D.A. Davidson
Remote, United States
- $73,500 to $117,900 USD / year
Data Engineer is responsible for expanding and optimizing our data and data pipeline architecture, as well as monitoring, troubleshooting and performance tuning data flows used in the…
Added 25 days ago
Forward Deployed Engineer
PromptQL
Remote, United States
Knowledge of MLOps, DataOps, or AI engineering practices
Added 26 days ago
Principal Engineer
Cushman & Wakefield Global, Inc
Remote, United States
The Principal Data Engineer at Cushman & Wakefield is a senior, high-impact technical leader responsible for solving complex data engineering challenges and shaping enterprise-wide data…
Added 26 days ago
Principal Engineer
Cushman & Wakefield Global, Inc
Remote, United States
The Principal Data Engineer at Cushman & Wakefield is a senior, high-impact technical leader responsible for solving complex data engineering challenges and shaping enterprise-wide data…
Added 27 days ago
GM
Data Platform Engineer
Greystar Management Services, LLC
Remote, United States
- $125,000 to $150,000 USD / year
Greystar is seeking a Platform Engineer to join the Data team. This is a senior, deeply technical platform operations role responsible for the reliability, governance, and cost efficiency…
Added 28 days ago
Machine Learning Engineer
Ritual
Remote, United States
We are looking for a talented and motivated Machine Learning Product Engineer to join our team. In this role, you will work on a variety of projects related to applied machine learning,…

eSimplicity

Staff Forward Deployed Engineer, Platform

Remote, United States

$145,000-$215,000

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Job details

Pay: $145,000-$215,000
Posting language: English
Posted: Nov 2, 2026

Original job description

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Job Type

Full-time

Description

About Us

eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow.

Purpose and Scope

We’re seeking a Staff Forward Deployed Engineer, Platform to join eSimplicity’s Rapid Innovation Center (the RIC). The Staff Forward Deployed Engineer, Platform works primarily with internal stakeholders, including program teams, growth teams, executives, business unit CTOs, security leaders, and engineering teams, to identify high-value operational and mission problems and shape the platform, DevOps, cloud, integration, and automation foundations needed to deliver working prototypes and MVPs from concept through validation.

As part of a small, high-trust team, this engineer is expected to take initiative, work effectively through ambiguity, and bring sound judgment to fast-moving technical challenges. The role requires ownership, adaptability, and close collaboration to help internal teams move quickly while establishing reliable developer workflows, secure cloud patterns, CI/CD practices, observability, infrastructure automation, and reusable platform foundations that can be adopted across the company.

The role may engage external customers when needed to understand mission context, validate assumptions, or support a program or pursuit, but its primary purpose is to help internal teams move faster and turn validated ideas into repeatable company capabilities.

This is a Staff-level, hands-on technical role for someone who can move fluidly across discovery, solution shaping, architecture, and implementation while partnering with product, program, security, and engineering leaders. This is an individual contributor role with technical leadership responsibilities; it does not include direct people-management responsibilities or ownership of companywide AI governance. Successful work is matured into repeatable patterns, reusable components, reference architectures, adoption guidance, and transition plans that other eSimplicity programs and capture teams can adopt.

This position is contingent upon contract award.

Responsibilities

Partner with program teams, growth teams, executives, business unit CTOs, security leaders, engineering teams, and other internal stakeholders to identify high-value operational or mission problems, clarify needs, define success measures, and translate ambiguity into executable solution approaches.
Partner with product and design stakeholders to conduct interviews, discovery sessions, and workflow analysis, then translate those insights into user-centered concepts, interaction patterns, prototypes, and validation approaches for mission-aligned solutions.
Shape pragmatic solution approaches and contribute directly to architecture, code, integrations, demos, AI applications, data solutions, platform services, prototypes, and MVPs from discovery through validation and transition planning.
Make clear 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 using Agile, DevSecOps, DataOps, and AnalyticOps practices.
Build and evolve reusable platform capabilities, including services, APIs, developer workflows, CI/CD templates, infrastructure automation, environment patterns, data integration patterns, secure cloud patterns, and shared technical components that multiple programs and engineering teams can adopt.
Apply existing security, privacy, and responsible AI expectations appropriate to prototype or MVP maturity, including PII/PHI protection, access control, auditability, transparency, human oversight, and escalation of governance decisions to the appropriate company or program owners.
Mature successful work into reusable components, implementation patterns, reference architectures, adoption guidance, and transition plans for scaled development, sustainment, or reuse across programs and capture teams.
Enable adoption through workshops, whiteboarding sessions, onboarding materials, playbooks, technical reviews, and coaching that help internal teams understand, trust, and reuse RIC-built capabilities.
Mentor engineers, architects, and delivery teams by sharing patterns, reviewing solution approaches, and raising the technical bar across engagements.
Other duties as assigned.

Requirements

A 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, with demonstrated ability to build solutions directly while influencing technical direction across more than one area 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, with working fluency in adjacent areas such as full-stack engineering, data engineering, AI/ML engineering, or integration architecture as needed for various engagements.
Demonstrated record of taking ambiguous internal, program, or customer problems to working prototypes or MVPs quickly while maintaining sound technical judgment, security awareness, and delivery discipline.
Strong stakeholder-facing skills, including the ability to work directly with executives, program leaders, engineers, security stakeholders, capture teams, and, when needed, government customers.
Experience integrating multiple 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 that handle PHI, PII, or other sensitive data, with 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 for cloud or platform environments, including logging, metrics, tracing, dashboards, alerting, service health indicators, and operational feedback loops that improve reliability and supportability.
Excellent executive, technical, and written communication skills, including the ability to translate complex technical decisions into mission, business, delivery, and risk implications.
Experience leading work in Agile or SAFe environments, including backlog management, technical planning, delivery coordination, and use of Atlassian Jira/Confluence.
Ability to obtain and maintain a Public Trust and reside in the United States.

Preferred Qualifications

Federal, DoD, or health IT experience, especially experience influencing government stakeholders or delivering solutions in Medicare, Medicaid, healthcare, or Centers for Medicare and Medicaid Services environments. GovCon experience is not required for an exceptional builder with strong stakeholder instincts.
Hands-on experience with platforms such as Databricks and Palantir, and experience designing, building, or operationalizing LLM and agentic AI applications such as MCP servers, agents, retrieval-based solutions, and governed AI workflows.
Prior forward-deployed engineering, technical consulting, solution architecture, platform engineering, or senior engineering experience, including translating prototypes into reusable components, reference architectures, and transition plans.
Experience mentoring engineers, shaping technical standards, reviewing architectures, and improving engineering quality across multiple teams or engagements.
Relevant certifications or advanced training in data platforms, cloud architecture, coding, AI/ML architecture, platform engineering, or applied AI delivery.

Working Environment:

eSimplicity supports a hybrid work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by your manager. Occasional travel for training and project meetings. It is estimated to be less than 5% per year.

Benefits:

eSimplicity offers a comprehensive benefits package, including medical, dental, and vision coverage, 401(k) retirement benefits, paid time off, paid holidays, life and disability insurance, and additional wellness and employee support programs. Eligibility may vary based on employment status and applicable plan terms.

Reasonable Accommodation:

eSimplicity is committed to providing reasonable accommodations to qualified individuals with disabilities during the application and hiring process. Applicants who need assistance or an accommodation should contact Human Resources.

Equal Employment Opportunity:

eSimplicity is an Equal Opportunity Employer, including disability and protected veteran status. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, disability, or any other legally protected status.

Salary Description

$145,000-$215,000

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