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Distinguished Software Engineering Lead
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Distinguished Software Engineering Lead
- Colorado Springs, Colorado, United States
- Colorado Springs, Colorado, United States
Über
Cloud Engineering & DevSecOps Engineer cloud‑native solutions in AWS GovCloud or hybrid IL4–IL6 environments with strict security and accreditation requirements. Implement Infrastructure-as-Code (Terraform, CloudFormation, or CDK) to automate provisioning, configuration, and accreditation workflows. Build and maintain CI/CD pipelines that embed security, compliance, and automated testing from development through deployment. Ensure all platform designs support zero‑trust principles, multi‑enclave deployment, and repeatable accreditation (ATO) processes.
Data Infrastructure & Orchestration Design or oversee large‑scale data ingestion, transformation, and orchestration environments (Kafka, Airflow, Spark, or Databricks). Shape data architectures that balance throughput, latency, and cost across distributed mission environments. Enable secure and efficient data access and synchronization across analytical, AI‑enabled, and simulation workloads.
Automation, Operationalization & Sustainment Transition software and platforms from prototype to production, ensuring maintainability, observability, and configuration consistency. Establish automated testing, release governance, and performance monitoring standards for ongoing sustainment. Partner with program and product leadership to align delivery with mission lifecycle requirements.
Security & Resilience Engineer architectures for redundancy and resilience under degraded or disconnected operational conditions. Design and maintain secure enclave architectures, boundary controls, and cross‑domain integration solutions. Collaborate with cybersecurity and ISSM teams to support ATO and ongoing accreditation automation.
Innovation & Ecosystem Integration Integrate emerging technologies, open standards, and modern frameworks into operational systems. Collaborate with AI/ML, data, and simulation teams to enable model integration and inference services within production software (familiarity with MLOps concepts preferred). Evaluate new tools and frameworks to improve developer productivity, performance, and automation efficiency.
Leadership & Mentorship Lead by example as a hands‑on technical authority, guiding design and implementation decisions. Mentor software engineers and architects to raise technical standards, code quality, and architectural maturity. Partner with fellow Distinguished Engineers and organizational leaders to align platform strategy with enterprise innovation goals. Communicate complex technical concepts clearly to both executive and engineering stakeholders.
Education/Qualifications Preferring candidates close to Dayton OH, Chesapeake VA, Huntsville AL, or Colorado Springs CO. Or willing to travel to these locations and customer sites, as needed. Required: Active Secret clearance required; TS/SCI strongly preferred. Bachelor’s degree in Computer Science, Software Engineering, or related technical field (Master’s preferred). 10–15 years of progressive software engineering experience, with at least 5 years in a technical leadership or architecture role. Proven success architecting and deploying secure, distributed, cloud‑native software platforms. Deep experience with AWS GovCloud or IL4–IL6 hybrid environments. Hands‑on proficiency with Infrastructure-as-Code (Terraform, CloudFormation, or CDK) and CI/CD automation. Strong understanding of DevSecOps, zero‑trust principles, and mission accreditation (ATO/RMF) processes. Demonstrated ability to operationalize software systems from prototype through accreditation in secure environments. Strong coding experience in one or more core languages (Python, Java, C++, TypeScript). Desired: Experience developing developer‑facing APIs, SDKs, or enablement platforms for enterprise‑scale interoperability. Familiarity with containerization and orchestration (Docker, Kubernetes, ArgoCD, or Rancher). Awareness of MLOps and AI solution integration practices — capable of collaborating with AI/ML teams on model deployment and sustainment. Proven ability to mentor engineers and influence enterprise‑level software design decisions. Recognized for contributions advancing automation, performance, and platform modernization within secure environments. Comfortable balancing architecture, coding, and stakeholder engagement in fast‑paced mission contexts. For this role, the compensation range for candidates is $200K-225k. *Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience. FTI has a location‑based compensation structure; there may be a different range for candidates in other locations. #LI-KM1 #LI-Remote
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Sprachkenntnisse
- English
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