Senior Technical Lead, Enterprise Risk Architecture – McLean, VA

Senior Technical Lead, Architecture – Enterprise Risk Delivery

📍 Location: McLean, VA
🏢 Work Arrangement: Primarily Onsite (Up to 6 Remote Weeks Per Year with Manager Approval)
💼 Employment Type: Full-Time
🚫 Visa Sponsorship: Not Available
🚚 Relocation Assistance: Available for Exceptional Candidates
💰 Compensation: $210,000 – $230,000 Base Salary + Annual Bonus

Overview

A leading financial services organization is seeking a Senior Technical Lead, Architecture – Enterprise Risk Delivery to provide architectural leadership across a portfolio of enterprise risk technology initiatives.

This Director-level individual contributor role is responsible for designing and governing enterprise-scale technology solutions supporting Financial Risk, Non-Financial Risk, Financial Crimes, and Compliance functions. The successful candidate will lead solution architecture across complex business domains while partnering closely with engineering, data, product, security, and business stakeholders to drive enterprise modernization initiatives, including cloud transformation and GenAI adoption.

Key Responsibilities

Enterprise Solution Architecture

• Design enterprise-scale, secure, and scalable solution architectures.

• Define architectural blueprints and implementation roadmaps.

• Establish architecture standards, design patterns, and best practices.

• Ensure long-term scalability, maintainability, and resilience of enterprise platforms.

Technical Leadership

• Provide technical leadership across engineering, architecture, and product teams.

• Mentor engineering teams and influence technical direction.

• Conduct architecture reviews and provide guidance on complex technical decisions.

• Balance innovation, delivery speed, and technical debt.

Enterprise Risk Technology

• Deliver technology solutions supporting:

• Financial Risk

• Non-Financial Risk

• Financial Crimes

• Regulatory Compliance

• Enable enterprise data integration and risk analytics.

• Support regulatory compliance through modern technology solutions.

Cloud & Modern Engineering

• Architect cloud-native enterprise solutions.

• Drive modernization initiatives across distributed systems.

• Lead API-first, microservices-based architecture strategies.

• Support enterprise AI and Generative AI initiatives.

Stakeholder Collaboration

• Partner with business leaders to translate requirements into technical solutions.

• Collaborate with enterprise architecture, security, data, and engineering organizations.

• Influence executive stakeholders through clear technical communication.

• Evaluate emerging technologies aligned with strategic business goals.

Required Qualifications

Education

• Bachelor's Degree in Computer Science, Engineering, or a related discipline.

• Master's Degree preferred.

Experience

✔ 10+ years of software engineering experience.

✔ 8+ years in architecture or senior technical leadership.

✔ 15+ years of overall technology experience preferred.

✔ Experience leading large-scale enterprise architecture initiatives.

✔ Experience within highly regulated industries such as:

• Financial Services

• Banking

• Mortgage

• Healthcare

Technical Expertise

Enterprise Architecture

• Solution Architecture

• Enterprise Architecture

• Microservices Architecture

• API Design & Integration

• Integration Patterns

• Micro Frontends

• Twelve-Factor Application Design

Cloud Platforms

• AWS (Preferred)

• Microsoft Azure

• Google Cloud Platform (GCP)

Modern Technologies

• Kubernetes

• Kafka

• Java

• Python

• Angular

DevOps & Engineering

• CI/CD

• DevOps Practices

• Agile Methodologies

• Enterprise Platform Engineering

Artificial Intelligence

• Generative AI (GenAI)

• AI Solution Design

• Enterprise AI Integration

Preferred Qualifications

• Experience within the mortgage or housing finance industry.

• Cloud Architecture certifications (AWS Solutions Architect Professional or equivalent).

• Experience leading enterprise digital transformation initiatives.

• Background in enterprise data platforms and analytics.

• Experience supporting regulatory technology solutions.

Must-Have Skills

Architecture

• Enterprise Solution Architecture

• Cloud Architecture

• Microservices

• API Architecture

• Enterprise Integration

Cloud & Infrastructure

• AWS (Preferred)

• Azure or GCP

• Kubernetes

• Kafka

Development

• Java

• Python

• Angular

Leadership

• Technical Leadership

• Enterprise Strategy

• Executive Communication

• Cross-Functional Collaboration

• Architecture Governance

Modern Engineering

• CI/CD

• DevOps

• Agile Delivery

• AI / GenAI

Screening Questions

1. Do you have at least 10 years of hands-on software engineering experience?

2. Do you have 8 or more years of experience in solution architecture or technical leadership?

3. Have you designed enterprise-scale cloud-native architectures using AWS, Azure, or GCP?

4. Do you have experience with Kubernetes, Kafka, Java, Python, and modern distributed systems?

5. Have you designed microservices, APIs, integration patterns, and cloud-native enterprise platforms?

6. Do you have experience implementing or architecting Generative AI or AI-enabled solutions?

7. Have you worked within highly regulated industries such as financial services, banking, mortgage, or healthcare?

8. Have you led enterprise transformation or modernization initiatives?

9. Do you hold any cloud architecture certifications (AWS Solutions Architect Professional or equivalent)?

10. Are you comfortable working onsite in McLean, VA with limited remote flexibility?

Ideal Candidate Profile

The ideal candidate will:

• Be an experienced enterprise architect with deep technical expertise.

• Have successfully led architecture strategy across complex enterprise environments.

• Possess extensive cloud architecture experience, particularly with AWS.

• Demonstrate expertise in modern software engineering, APIs, and microservices.

• Have experience delivering technology within highly regulated industries.

• Be comfortable influencing executives and senior business stakeholders.

• Mentor engineering teams while remaining hands-on with architectural decision-making.

• Drive innovation through cloud modernization, DevOps, and AI technologies.

Candidate Snapshot

Requirement

Details

Experience

15+ Years Overall Technology Experience

Leadership

Director-Level Individual Contributor

Architecture

Enterprise Solution Architecture

Cloud

AWS (Preferred), Azure, GCP

Technologies

Kubernetes, Kafka, Java, Python, Angular

Engineering

Microservices, APIs, DevOps, CI/CD

Industry

Financial Services / Highly Regulated Environment

AI

GenAI & Enterprise AI Solutions

Location

McLean, VA

Work Arrangement

Primarily Onsite (Up to 6 Remote Weeks Per Year)

Compensation

$210K – $230K + Bonus

Relocation

Available for Exceptional Candidates

What Makes Someone Successful in This Role?

• Deep expertise in enterprise architecture and cloud-native solution design.

• Strong leadership while operating as a hands-on technical contributor.

• Ability to translate complex business challenges into scalable technical solutions.

• Experience driving enterprise modernization and digital transformation.

• Strong understanding of risk, compliance, and secure architecture within regulated industries.

• Exceptional communication skills with both executive leadership and engineering teams.

• Passion for mentoring engineers, driving innovation, and adopting emerging technologies such as Generative AI.

Lead Software Engineer – DevOps Architect | TS/SCI with Poly | Palm Bay, FL

Lead Software Engineer – DevOps Architect (TS/SCI with Poly)

📍 Location: Palm Bay, FL (100% Onsite)
🏢 Industry: Aerospace & Defense
💼 Employment Type: Full-Time
🗓️ Work Schedule: 9/80 Schedule (Every Other Friday Off)
🔒 Security Clearance Required: Active TS/SCI with Polygraph
🚫 Visa Sponsorship: Not Available
🚚 Relocation Assistance: Available
✈️ Interview Travel: Reimbursed
💰 Compensation: $140,000 – $180,000 Base Salary

Overview

A leading aerospace and defense organization is seeking a Lead Software Engineer – DevOps Architect to lead the design, modernization, and long-term evolution of a containerized microservices platform supporting mission-critical applications.

This is a highly technical architecture role focused on DevOps engineering, containerization, CI/CD, infrastructure automation, and platform modernization. The successful candidate will provide technical leadership across architecture, implementation, and engineering best practices while partnering closely with software engineering, infrastructure, cybersecurity, and program stakeholders.

This is an ideal opportunity for an experienced DevOps Architect, Platform Architect, Software Architect, or Cloud Infrastructure Architect who enjoys designing scalable, secure, and resilient distributed systems.

Key Responsibilities

DevOps & Platform Architecture

• Lead the architecture and design of Docker-based microservices platforms.

• Develop scalable, secure, and resilient distributed system architectures.

• Define platform roadmaps and long-term modernization strategies.

• Establish architecture standards and engineering best practices.

Containerization & Orchestration

• Design and implement containerized application environments.

• Drive technical decisions around container orchestration platforms.

• Improve platform scalability, availability, and operational resilience.

• Guide platform standardization across engineering teams.

CI/CD & Infrastructure Automation

• Design modern CI/CD pipelines and deployment strategies.

• Drive Infrastructure as Code (IaC) and automation initiatives.

• Improve build, release, deployment, and monitoring processes.

• Promote DevOps best practices across the software lifecycle.

Software Architecture

• Produce detailed architectural designs and interface specifications.

• Define deployment models and technical design documentation.

• Support API integration and service-to-service communication.

• Evaluate architecture tradeoffs and recommend improvements.

Technical Leadership

• Lead architecture and design reviews.

• Mentor engineering teams and provide technical guidance.

• Identify technical risks and mitigation strategies.

• Collaborate with software, infrastructure, cybersecurity, and program leadership.

Required Qualifications

Education & Experience

• Bachelor's Degree with 9+ years of relevant experience

OR

• Master's Degree with 7+ years of relevant experience

OR

• 13+ years of related experience in lieu of a degree

Security Clearance

✔ Active TS/SCI with Polygraph (Required)

Required Technical Expertise

DevOps & Platform Engineering

• DevOps Architecture

• Platform Engineering

• Distributed Systems Architecture

• Microservices Architecture

• Docker

CI/CD & Automation

• Continuous Integration / Continuous Delivery (CI/CD)

• Infrastructure as Code (IaC)

• Configuration Management

• Automated Deployments

Container Technologies

• Docker

• Kubernetes

• OpenShift (or similar orchestration platforms)

Software Architecture

• API Design

• Service-to-Service Communication

• Distributed Systems

• Platform Modernization

Security & Reliability

• Secure Platform Engineering

• Scalability & Performance Optimization

• System Reliability & Observability

• Infrastructure Resilience

Preferred Qualifications

Experience with:

• Kubernetes

• OpenShift

• Docker Enterprise

• Infrastructure Automation

• Platform Modernization

• Enterprise DevOps

• Cloud-Native Platforms

• Large-Scale Distributed Systems

Strong experience producing:

• Architecture documentation

• Technical design artifacts

• Interface specifications

• Engineering decision records

Must-Have Skills

Architecture

• Docker-Based Architecture

• Microservices

• Distributed Systems

• Platform Engineering

DevOps

• CI/CD Pipelines

• Infrastructure as Code

• Configuration Management

• Deployment Automation

Leadership

• Technical Leadership

• Architecture Reviews

• Engineering Mentorship

• Cross-Functional Collaboration

Infrastructure

• Kubernetes / OpenShift

• API Integration

• Secure Platform Engineering

• Monitoring & Observability

Screening Questions

1. Do you currently hold an active TS/SCI clearance with Polygraph?

2. How many years of experience do you have in DevOps engineering, software architecture, or platform architecture?

3. Have you designed and implemented Docker-based microservices architectures?

4. What experience do you have with container orchestration platforms such as Kubernetes or OpenShift?

5. Have you designed and implemented enterprise CI/CD pipelines and Infrastructure as Code solutions?

6. Have you produced detailed architectural documentation, technical designs, and deployment models?

7. Do you have experience designing secure distributed systems, APIs, and service-to-service communication patterns?

8. Have you led architecture reviews, mentored engineering teams, and driven technical direction?

9. What tools or technologies have you used for infrastructure automation and configuration management?

10. Are you able to work onsite full-time in Palm Bay, Florida?

Ideal Candidate Profile

The ideal candidate will:

• Hold an active TS/SCI with Polygraph.

• Be an experienced DevOps or Platform Architect with deep expertise in distributed systems.

• Have extensive experience designing Docker-based microservices platforms.

• Possess strong Kubernetes or OpenShift experience.

• Be comfortable defining enterprise architecture standards and long-term technology roadmaps.

• Thrive in highly collaborative engineering environments.

• Demonstrate strong mentoring, communication, and technical leadership skills.

• Balance hands-on engineering with strategic architectural decision-making.

Candidate Snapshot

Requirement

Details

Clearance

Active TS/SCI with Polygraph

Experience

10–15+ Years

Architecture

DevOps, Platform & Microservices

Containerization

Docker

Orchestration

Kubernetes / OpenShift

DevOps

CI/CD, IaC, Configuration Management

Software

API Design, Distributed Systems

Location

Palm Bay, FL

Work Arrangement

100% Onsite

Schedule

9/80 (Every Other Friday Off)

Compensation

$140K – $180K

Relocation

Available

What Makes Someone Successful in This Role?

• Deep expertise in DevOps architecture and distributed systems.

• Strong experience designing Docker-based microservices platforms.

• Ability to architect scalable, resilient, and secure enterprise solutions.

• Proven success implementing CI/CD, Infrastructure as Code, and automation strategies.

• Strong technical leadership with experience mentoring engineering teams.

• Excellent communication skills, capable of presenting architectural concepts to both technical and non-technical stakeholders.

• Ability to drive platform modernization while ensuring operational reliability and long-term maintainability.

DevOps System Administrator (AI/ML Infrastructure) - TS/SCI with CI Poly – Scottsdale, AZ

DevOps System Administrator (AI/ML Infrastructure)

📍 Location: Scottsdale, Arizona
🏢 Work Environment: 100% Onsite
💼 Employment Type: Full-Time
🛡️ Security Clearance Required: Active DoD TS/SCI with Polygraph
✈️ Travel: Occasional
🚫 Visa Sponsorship: Not Available

💰 Compensation & Benefits

• Base Salary: $126,000 – $150,000

• Full Benefits Package

• Relocation Assistance Available

• No commission or overtime eligibility

🚀 Position Overview

A leading defense technology organization is seeking an experienced DevOps System Administrator to support and optimize advanced Artificial Intelligence and Machine Learning (AI/ML) infrastructure within a highly secure classified environment.

This role will focus on building, maintaining, and automating enterprise-scale infrastructure supporting AI model development, training, testing, and deployment. The successful candidate will work closely with Data Scientists, ML Engineers, and Infrastructure Teams to ensure scalable, secure, and high-performing environments.

This is an excellent opportunity to work on mission-critical technologies supporting national security initiatives while leveraging cutting-edge AI, cloud-native, and automation technologies.

🔧 Key Responsibilities

AI/ML Infrastructure Management

• Design, implement, and maintain scalable infrastructure for AI/ML model training and inference

• Manage GPU resources and high-performance computing environments

• Support machine learning development and deployment workflows

• Collaborate with Data Scientists and ML Engineers to streamline model development through production

DevOps & Automation

• Develop and manage CI/CD pipelines for AI applications and ML models

• Automate:

• Infrastructure provisioning

• Configuration management

• Deployment processes

• Utilize Infrastructure as Code (IaC) tools including:

• Terraform

• Ansible

Containerization & Orchestration

• Deploy and manage containerized environments using:

• Docker

• Kubernetes

• Scale and optimize AI/ML services within secure enterprise environments

Linux & Systems Administration

• Administer Linux-based operating systems and virtualized server environments

• Perform:

• Server configuration

• Performance tuning

• Patch management

• Troubleshooting

• Monitoring

• Support both physical and virtual infrastructure environments

Monitoring & Operational Support

• Implement monitoring, logging, and alerting solutions

• Analyze system alerts and perform root-cause investigations

• Create scripts to automate repetitive administrative tasks

• Troubleshoot networking, storage, and server-related issues

Technical Leadership

• Serve as a subject matter expert for server and infrastructure operations

• Mentor team members and provide technical guidance

• Support system design, analysis, and continuous improvement initiatives

• Identify opportunities to leverage AI and automation for operational efficiency

✅ Required Qualifications

Education

• Bachelor’s Degree in:

• Computer Science

• Related technical field

• OR equivalent experience

OR

• Master’s Degree with 6+ years of relevant experience

Experience

• 7–10 years of relevant systems administration, infrastructure, or DevOps experience

• Strong enterprise server administration background

• Experience supporting large-scale production environments

• Advanced Linux administration skills

• Experience supporting virtualized infrastructure environments

🔒 Clearance Requirements (Mandatory)

✔ Active DoD TS/SCI with Polygraph required at time of hire
✔ U.S. Citizenship required
✔ Clearance must be active and current
❌ No sponsorship available
❌ No clearance reinstatement candidates

🛠️ Required Technical Skills

✔ Linux Administration
✔ Docker
✔ Kubernetes
✔ AI/ML Infrastructure Support
✔ CI/CD Pipeline Management
✔ Infrastructure as Code (Terraform, Ansible)
✔ Virtualization Technologies
✔ Enterprise Server Support
✔ Networking & Storage Troubleshooting
✔ Automation & Scripting

⭐ Preferred Qualifications

• Experience supporting AI/ML development environments

• GPU resource management experience

• High-performance computing environments

• Cloud-native infrastructure experience

• Container orchestration at enterprise scale

• Experience within classified or defense environments

🎯 Ideal Candidate

The ideal candidate is a highly technical infrastructure professional with deep Linux expertise, strong containerization skills, and experience supporting AI/ML environments in secure enterprise settings.

They will bring:

• Active TS/SCI Poly clearance

• Strong Docker and Kubernetes experience

• Advanced troubleshooting capabilities

• Enterprise systems administration expertise

• Automation and DevOps mindset

• Ability to work independently and collaboratively

• Passion for emerging technologies and AI-driven innovation

📋 Screening Questions

1. Do you have hands-on Linux administration experience?

2. Do you have experience with Docker, Kubernetes, or similar container platforms?

3. Are you comfortable working onsite full-time in Scottsdale, AZ?

4. Do you currently hold an active DoD TS/SCI with Polygraph clearance?

📌 Candidate Snapshot

Requirement

Details

Experience

7–10 Years

Seniority

Mid-Senior

Industry

Defense / Technology

Education

Bachelor’s Degree or Equivalent

Clearance

Active TS/SCI Poly Required

Work Model

100% Onsite

Travel

Occasional

Relocation

Available

🌟 Why Join

Award-Winning Culture

• Recognized as a Gallup Exceptional Workplace

• Strong employee engagement and retention

• Average employee tenure of 12 years

Work-Life Balance

• Flexible 9/80 schedule

• Every other Friday off

• Generous PTO and parental leave

Outstanding Benefits

• 401(k) with company match and immediate vesting

• Comprehensive medical, dental, and vision coverage

• Tuition assistance and professional development support

Meaningful Work

• Support cutting-edge technologies including:

• Artificial Intelligence

• Cloud Native Platforms

• Advanced Cyber Systems

• National Security Programs

Collaborative Environment

• Strong engineering culture

• Low micromanagement

• High autonomy and ownership

• Opportunities to innovate and contribute to mission-critical solutions

This role offers the opportunity to combine advanced DevOps expertise with next-generation AI technologies while supporting some of the most important missions in the defense and intelligence community.