Cybersecurity Engineer, Senior Manager

Two Six Technologies is seeking a visionary Cybersecurity Engineer, Senior Manager to architect, build, and defend the highly secure environments that power our advanced R&D initiatives. We are looking for a true security architect who can seamlessly bridge the gap between rigorous government security frameworks (NIST, STIGs, CMMC) and complex operational engineering. In this role, you will lead the strategic design of our secure infrastructure, guide DevSecOps integration across software projects, and engineer pragmatic, intent-based security solutions. If you excel at deconflicting stringent compliance mandates with real-world engineering challenges, and thrive in a role that spans infrastructure defense, network architecture, and application security, we want you to lead our team.

Preferable locations are San Antonio TX and Arlington VA. The role is considered hybrid, and would require at least 3 days a week in the office at either location.

Key Responsibilities

• Strategic Security Architecture: Architect custom security solutions that deconflict stringent government compliance requirements with critical operational needs. Move beyond standard "box checking" to design risk-optimized, tailored controls.
• Intent-Based Engineering: Engineer alternative technical solutions when literal remediation causes operational failure. Leverage deep system knowledge and industry best practices to meet the core security intent of a framework while maintaining system functionality.
• Design & Implementation: Lead the hands-on technical development, configuration, and deployment of secure IT infrastructure and custom security tools, ensuring all architectures are defensible during an audit.
• Threat Defense & Mitigation Strategy: Develop high-level strategies, playbooks, and architectures for threat detection and incident response. Oversee the vulnerability mitigation lifecycle, guiding the team's efforts so that day-to-day monitoring is handled by staff while the Lead focuses on proactive, structural defense improvements.
• Collaborative Security: Partner with development and IT teams to seamlessly integrate security and compliance into CI/CD pipelines and software development lifecycles while supporting innovation.
• Team Leadership & Mentorship: Direct a small team of security professionals across multiple projects. Mentor junior team members on how to balance strict compliance auditing with pragmatic, operational engineering solutions.

Required Skills & Qualifications

• Education: Bachelor’s degree in Computer Science, Cybersecurity, Information Security, or comparable experience.
• Leadership: Experience managing small interactive teams.  Candidates will be required to task junior reports, and should have strong mentorship skills.
• Strategic Risk & Compliance Mastery: Deep understanding of NIST 800-171, NIST 800-53b, CMMC, and DISA STIGs. Proven ability to interpret the underlying risk objective of a control to engineer solutions that satisfy auditors without breaking operations.
• Advanced Systems Expertise: Deep technical mastery of operating systems (primarily RHEL/Linux). Must possess the system-level knowledge (e.g., Linux internals, process management) required to design custom, defensible security configurations backed by vendor documentation when standard STIG guidance is insufficient.
• Operational Deconfliction: A highly analytical mindset with a track record of identifying conflicts between security mandates and operational uptime, and successfully architecting "semi-custom" solutions that keep risk to an acceptable minimum.
• Network Security Architecture: Strong architectural understanding of secure network paradigms (e.g., Zero Trust, macro/micro-segmentation) and fundamentals. Ability to guide the implementation of complex boundary defenses and validate network security controls.
• Application Security & Code Analysis: High technical competency in application security principles. Must be capable of analyzing SAST tool outputs, architecting defensible arguments for false positives to present to customers, and providing strategic guidance to developers on resolving legitimate vulnerabilities.
• Security Automation: Strategic approach to automating repetitive security operations using scripting and CI/CD pipelines. Proven ability to build self-sustaining security workflows that free up engineering staff to focus on high-complexity problems.
• Clearance:  Eligibility to obtain and maintain a security clearance up to TS/SCI. 

Preferred Experience

• Advanced Code Review: Practical experience reading, reviewing, and defending SAST findings in compiled languages such as Java, Golang, or C and/or interpreted languages like Python or NodeJS.
• DevSecOps & Containerization: Hands-on experience architecting secure CI/CD pipelines and software development workflows utilizing platforms like Jenkins, GitHub, or GitLab. Familiarity with securing OCI-compliant container ecosystems (e.g., Docker) is highly desirable.
• Virtualization & Cloud Architecture: Experience securing, architecting, or managing hyperconverged virtual infrastructure (specifically VMware or Proxmox) and/or cloud-native enterprise environments (e.g., AWS).
• Enterprise Boundary Defense: Practical experience engineering, deploying, or migrating advanced enterprise firewall and network security solutions (e.g., Fortinet).
• Specialized Enclaves & R&D Networks: Proven experience designing, auditing, or managing compliance for research and development (R&D) environments, specifically involving the creation or maintenance of CMMC Level 2 compliant networks.
• AI Security Oversight: Experience implementing security guardrails for teams using AI-assisted coding tools (e.g., Cursor, GitHub Copilot, Gemini).
• Automated Compliance: Ability to translate security mandates into Policy-as-Code to ensure rapid, AI-generated deployments remain compliant with NIST/CMMC frameworks.
• AI Risk Assessment: Practical understanding of the OWASP Top 10 for LLMs and how to mitigate risks related to prompt injection and AI-generated code vulnerabilities.
• Clearance:  Active TS/SCI clearance

Clearance Requirements:

• This position requires eligibility to obtain and maintain a security clearance up to TS/SCI

#LI-MS1

#Hybrid

As a Data Center Engineer you'll independently manage and prioritize host repair efforts for multiple datacenters, perform initial troubleshooting for ambiguous hardware and network issues, and own well-defined projects with guidance from senior engineers while helping us scale our Core/Edge Data Centers and hardware infrastructure at a time of incredible growth for our business.

You will:

• Manage and prioritize your ticket queue according to defined priorities, performing initial troubleshooting for server and network issues, and escalating clearly when problems fall outside standard procedures.
• Maintain the Core Data Center and hardware infrastructure to meet the large scale and real-time requirements of our Imagination Platform™ to ensure our community has an awesome experience anywhere in the world. This includes all aspects of the server, network infrastructure, power, and environmental life cycles.
• Collaborate across regions to track and mitigate systemic issues preventing hosts from returning to service.
• Identify and solve recurring operational problems through root cause analysis, and propose improvements to runbooks, SOPs, and MOPs to prevent re-occurrence.  
• Contribute data, feedback, and requirements to partners building automation, ensuring that automation reflects real-world operational workflows
• Coordinate with peers to establish and uphold best practices related to breakfix, install, decom and all other aspects of datacenter operations.
• Influence, and improve the development platform, infrastructure, standards (Runbooks, SOPs, MOPs), and methods to ensure the goal of scalability and high availability can be achieved.
• Leverage partnerships across teams to ensure prompt expansion and recovery of hardware capacity.
• Actively participate in continuous improvement and ongoing learning within the engineering team
• Assist in coordinating vendors and ensuring quality of outsourced projects
• Participate in the on-call rotation for our critical infrastructure.
• Travel: International and Domestic travel may be required 25%

You have:

• At minimum 4+ years of experience working in large-scale Data Center Infrastructure environments and experience planning, executing, and documenting repairs in the server and networking domains.
• Extensive experience installing, monitoring, and maintaining server and network equipment. This includes brand new server and network provisioning.
• In-depth knowledge of data center environments, servers, and network equipment.
• Proven experience executing on multiple tasks simultaneously.
• Proficiency with server out‑of‑band management tools to perform initial troubleshooting on servers, including when the operating system is not fully available.
• Proficiency with Linux/Unix or Windows command-line tools to collect logs, run diagnostics, and perform initial troubleshooting on servers and network devices
• You have installed various equipment that commonly resides in the data center environment and are able to lift 75 pounds occasionally.

You are:

• Someone who is ready for action wielding a wealth of server and network hardware troubleshooting knowledge to support Roblox’s systems.
• Excited about getting in front of complex problems, and can effectively organize your work to overcome emergent high-impact issues.
• Someone who enjoys building processes and procedures for the day to execute our workload and for developing new capabilities as a team.
• Someone who asks the right questions to solve issues within your expertise and you use data to test your theories. You are able to formulate and identify problems, generate and evaluate a variety of solutions (some of which are novel), and implement the best one(s).
• Someone who is committed to demonstrating professionalism in all interactions with partners both inside and outside Roblox to ensure continued success in cross-functional initiatives. You are able to foster trust and uphold the reputation of the team and company.

Location: Reston,VA

Job Overview

The Senior Maintenance Manager is responsible for the effective daily leadership and administration of the onsite maintenance team with the objectives of safely, efficiently, and effectively operating machinery and systems. The SMM must ensure the highest level of professionalism while meeting/exceeding the needs of the residents and ownership and a commitment to achieving the goal of 100% uptime and customer satisfaction throughout the maintenance team.  This position will travel regularly between multiple communities. #weshowup

Key Responsibilities

• Provide Class “A” customer service – Building a good rapport with residents and going above and beyond whenever possible 
• Effectively manage assigned staff to include activities such as assigning work, providing supervision and direction as needed
• Ensure prompt and efficient service by the maintenance team members
• Partner with Property Manager to adhere to budgets, forecast budgets and financial reviews
• Develop multi-year capital project plans and manage the process to complete the capital projects
• Oversees the condition and preventive maintenance programs of key asset systems; HVAC systems, fire protection, sprinkler suppression, retail kitchen hood systems, plumbing – sewer mains/ structural building plumbing, sump pumps, vertical transportation, electrical switchgear distribution, natural gas generators and ATS configuration and testing requirements etc.
• Responsible for renovations and various aspects of new construction
• Participates in annual budget planning and provides input to vendor selection
• Perform regular site inspections to assess physical property condition, compliance and overall administration
• Ensure apartment turn overs and work orders are completed in a timely fashion
• Oversee the activities of contractors working within the building. 
• Identify safety hazards within the building and incorporate the remediation of such hazards to ensure that the building’s staff and occupants work in a safe environment
• Ensure compliance with all regulatory laws and guidelines are met as they relate to the operation of the building’s infrastructure
• Maintain all infrastructure and compliance documentation for the building including up-to-date building drawings and single lines as well as documentation mandated for maintaining regulatory compliance with Federal, State or Local law
• Perform other duties as assigned

Qualifications

• High School Diploma
• Current Driver's License
• Central Plant System experience required
• EPA Section 608 Universal Certification
• Master of Electrician and Plumbing preferred
• At least 10 years of Residential maintenance experience
• At least 8 years building facilities operation experience in a luxury apartment 
• Minimum of 5 years supervisory experience as senior engineer/technician or equivalent position in facilities management
• Building automation systems experience required
• Proven experience providing excellent customer service
• Extensive knowledge of HVAC, electrical, and plumbing systems in multi-family housing and mid to large size facility operations
• Exposure to budgeting and basic accounting
• Understands elevator maintenance, fire sprinkler/alarm systems and high-rise buildings
• Proficient with computers and relevant computer programs
• General understanding and use of Microsoft Office, Microsoft Word, Excel, and Outlook
• Experience with Yardi preferred
• Excellent communication and leadership skills
• Strong problem-solving skills
• Ability to work after hours, as needed including on-call rotation 
• Must be highly credible and trustworthy, and operate with high degree of integrity
• Must hold oneself and others accountable and strive for a high level of excellence
• Must have a positive, can-do attitude and be able to fuel growth and innovation
• Must be customer-focused and results-oriented
• Must want to continuously learn and develop
• Exceptional oral and written communication, active listening, and organizational skills
• Ability to establish strong working relationships with others in team setting 
• Ability to multitask and prioritize tasks with a strong attention to detail in a fast-paced environment 
• Self-directed and able to work independently, with minimal supervision

Physical Demands & Work Environment

• Required to stand for long periods and walk, climb stairs, balance, stoop, kneel, crouch, bend, stretch, twist, and/or reach
• Push, pull or lift up to 50 pounds
• Continuous repetitive motions
• Work under variable temperature conditions (or extreme heat or cold), under variable noise levels, outdoors/indoors, around fumes and/or hazards, around dust and/or mite hazards, around chemicals and bio-hazards

Benefits

Compensation:
- Competitive Salary with Bonus Potential
- Generous Benefit Package: Medical, Dental, Vision, 401K Match, Life Insurance

Career Development
- Opportunities for Advancement within our expanding portfolio
- Annual Professional Development Funds to fuel your growth

Employee Perks:
- Employee Discount for added benefits
- Enjoy a Friendly Work Environment that values collaboration

Additional Benefits:
- Explore more perks and possibilities for growing your career with Comstock Companies! Discover what sets us apart!

We are seeking an AI Engineer to design, develop, and deploy scalable LLM-powered solutions leveraging AWS cloud services, Snowflake, and modern GenAI frameworks. This role focuses on building production-grade AI systems, optimizing LLM inference, and integrating enterprise data platforms with cutting-edge AI technologies.

The ideal candidate combines strong cloud engineering expertise with hands-on experience in prompt engineering, foundation models, agentic AI systems, and data pipelines within Snowflake and AWS ecosystems

Key Responsibilities

AI & Generative AI Development

• Design, develop, and deploy LLM-powered applications and agentic AI systems in production environments.
• Implement advanced prompt engineering strategies including:
• Prompt chaining and multi-turn orchestration
• Few-shot learning and in-context learning
• Chain-of-Thought (CoT) and Tree-of-Thought (ToT) prompting
• Function calling and tool use optimization
• Structured output generation (JSON, XML schemas)
• Build and optimize Retrieval-Augmented Generation (RAG) systems integrating Snowflake data with LLMs.
• Evaluate and fine-tune foundation models via AWS Bedrock or other managed AI services.
• Develop guardrails for AI systems including hallucination mitigation, grounding, and safety controls.
• Implement LLMOps best practices for model lifecycle management:
• Model versioning, deployment, and rollback strategies
• Prompt versioning and experimentation frameworks
• Monitor and observe LLM application performance using observability tools.
• Evaluation frameworks for LLM outputs

Cloud & Platform Engineering (AWS)

Architect scalable AI solutions using AWS services such as:

• Bedrock - Sagemaker – Access and fine-tune foundation models
• Lambda – Serverless LLM application deployment
• EC2 – GPU-accelerated inference and batch processing
• Step Functions – Orchestrate complex LLM workflows and agentic pipelines
• CloudWatch – Monitoring, logging, and alerting for AI systems

AI Application Development

• Build APIs and backend services to operationalize AI solutions.
• Integrate LLM/AI systems into internal applications, sales tools, or analytics platforms.
• Implement streaming and real-time inference for low-latency AI applications.
• Collaborate with stakeholders to translate use cases into production AI systems.

Required Qualifications

• 5+ years of experience in AI/ML, Software or Data engineering.
• Proficiency in Python with solid understanding of ML fundamentals
• Strong hands-on experience with AWS, APIs and microservices architecture
• Experience integrating AI solutions with data systems like Snowflake.
• Practical experience with prompt engineering
• Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel, or similar
• Experience with agentic frameworks (AutoGen, CrewAI, or equivalent).

Preferred Qualifications

• Experience building RAG pipelines in enterprise environments.
• Knowledge of MLOps best practices.
• Experience with vector databases and embeddings.
• Familiarity with model evaluation frameworks (e.g., LLM eval metrics).
• Experience implementing AI governance and responsible AI practices.
• Background in sales, media, marketing analytics, or enterprise data platforms (a plus). #LI-MS1

ROLE SUMMARY 

As an Engineer on the Generative & Agentic AI team, you will play a hands-on role in building, deploying, and operating AI capabilities that power Babel Street’s intelligence applications. You will work closely with senior AI leaders, product teams, and engineers to implement generative and agentic AI solutions that support investigative, analytical, and operational workflows across the platform. 

This is an execution-focused role for an engineer with strong foundations in machine learning and generative AI who is excited to work on real-world, mission-driven applications. You will contribute directly to LLM and SLM pipelines, retrieval and grounding systems, agent workflows, and AI-enabled features—while learning how to deliver AI that is safe, reliable, cost-efficient, and production-ready. 

This is a hybrid role to be based out of either our Reston, VA/Washington DC office or our Somerville MA office.

ROLE FOCUS 

This role spans three practical execution areas: 

Generative AI & Model Development 

You will help implement and operate LLM- and SLM-based systems, contributing to prompt development, fine-tuning, evaluation, and inference optimization. You will support retrieval-augmented generation (RAG) pipelines, embeddings, and grounding techniques to ensure AI outputs are accurate, explainable, and aligned with intelligence use cases. 

Agentic AI & Workflow Automation 

You will assist in building and integrating agent-based workflows that automate analytical tasks, connect platform services, and support intelligence applications. This includes implementing agent logic, tool-use patterns, and basic orchestration under the guidance of senior engineers. 

AI Engineering & Production Delivery 

You will help productionize AI capabilities using modern AI SDLC tools and practices, contributing to evaluation, testing, telemetry, and guardrails that reduce hallucinations and ensure safe behavior. You will work within established governance frameworks to ensure AI features are measurable, reliable, and cost-aware. 

KEY RESPONSIBILITIES 

• Implement and maintain LLM and SLM pipelines, including prompt engineering, inference, and evaluation. 

• Support RAG pipelines, embeddings, and retrieval systems used in intelligence applications. 

• Assist in building agent workflows that automate analytical or operational tasks. 

• Write clean, maintainable code (Python or others) to support AI services and integrations. 

• Contribute to AI evaluation, testing, and hallucination-mitigation techniques. 

• Use AI-assisted development tools (e.g., Copilot, Cursor) to improve development velocity and quality. 

• Collaborate with Product and Engineering teams to integrate AI capabilities into user-facing workflows. 

• Follow established AI governance, safety, and cost-optimization practices. 

QUALIFICATIONS 

Required 

• 5+ years of experience in software engineering, machine learning, or applied AI roles. 

• Hands-on experience working with LLMs and/or SLMs, including prompting, inference, or fine-tuning. 

• Experience building or contributing to RAG pipelines, embeddings, or retrieval systems. 

• Familiarity with agent-based systems or workflow automation (academic, professional, or open-source). 

• Strong programming skills in Python; experience with common libraries (PyTorch, TensorFlow, etc.). 

• Solid foundation in machine learning concepts (training, evaluation, overfitting, metrics). 

• Experience using or contributing to modern AI/ML tooling and workflows (ML pipelines, evaluation scripts, model serving). 

• Ability to work in a collaborative, fast-moving, mission-driven environment. 

Preferred 

• Experience applying AI to intelligence, investigative, analytical, or risk-related applications. 

• Familiarity with vector databases, graph databases, or knowledge graphs. 

EDUCATION 

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field required. 
Advanced degree is a plus but not required. 

Benefits at Babel Street (just to name a few...)

• Health Benefits: Babel Street covers 85-100% monthly premium costs for Medical, Dental, Vision, Life & Disability insurances – for you and your family!
• Retirement Plans: Babel Street offers both a Traditional and Roth 401(K) with a very competitive match.
• Unlimited Flexible Leave: We trust our employees to manage their own time and balance their personal and work lives.
• Holidays: Babel Street provides employees with 12 paid Federal Holidays
• Tuition Reimbursement: We are committed to investing in our employees. One way we do that is with our Tuition Reimbursement Program for continuing education.                 

Babel Street is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Further, Babel Street will not discriminate against applicants for inquiring about, discussing or disclosing their pay or, in certain circumstances, the pay of their co‐worker, Pay Transparency Nondiscrimination. In addition, Babel Street's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request, we will provide you with more information about such accommodations.

“Please note, this isn't a software engineering role. As a Solution Engineer, you'll dive deep into our customers' needs, crafting innovative, end-to-end solutions using the Instabase platform. If you're passionate about blending tech with customer success, this is the role for you!”

Our Solution Engineering Team is the foundation of our customer’s experience and success with Instabase. This founding team will develop custom end-to-end solutions to the most critical and strategic NP-hard problems for our customer’s operations and build apps on the Instabase AiHub platform.

As a Solutions Engineer, reporting into Instabase Professional Service Organization,

• You’ll play a massive role in supporting the largest global enterprise as we expand into new sectors/industries.
• You’ll grow alongside and architect new solutions. You’ll use Instabase AIHub platform to solve AI use cases that are fundamental to extend our library of apps, incorporating custom requests/input from our customers. 

What you’ll do:

• Provide technical expertise in the post-sales process, outlining the value proposition, clarifying technical requirements, and answering Instabase related questions
• Deliver an exceptional post-sales customer experience
• Collaborate with customers to understand their business requirements, design and build customized solutions on the Instabase platform using Prompt Engineering and python scripting
• Work with APIs and databases to integrate with other systems and technologies
• Develop and implement production-grade solution within the customer’s environment
• Assist in troubleshooting and resolving technical issues that may arise during the implementation process
• Provide technical training and support to customers and team members
• Stay up-to-date on Instabase features, Machine Learning, LLMs, Python, APIs, and databases
• Solicit constant feedback on their work from both customers and colleagues, improving our products over time with rapid iteration cycles
• Collaborate closely with the Product, Engineering, Sales, Solutions Architecture and Customer Success teams to ensure a seamless customer experience

About you:

• Proficiency in prompt engineering, demonstrating accountability to build, improve, and optimize prompts.
• Experience in requirements gathering, scoping, technical documentation and developing technical solutions by collaborating with customers
• Experience in Python scripting
• Experience with APIs and databases, such as RESTful APIs, SQL, NoSQL, and MongoDB
• Experience in working on the Instabase platform or similar automation platforms
• Excellent problem-solving skills and ability to troubleshoot technical issues
• Possess exceptional presentation and communication skills, particularly when engaging with executives and leaders
• Ability to work in a fast-paced environment and manage multiple projects simultaneously
• Strong attention to detail and ability to deliver high-quality work

US Benefits: 

• Flexible PTO: Because life is better when you actually live it!
• Comprehensive Coverage: Top-notch medical, dental, and vision insurance.
• 401(k) with Matching: We’ve got your back for a secure future. 
• Parental Leave & Fertility Benefits: Supporting you in growing your family, your way.
• Therapy Sessions Covered: Mental health matters— 10 free sessions through Samata Health.
• Wellness Stipend: For gym memberships, fitness tech, or whatever keeps you thriving.
• Lunch on Us: Enjoy a lunch credit when you're in the office.

Compensation: For US-based roles: The base salary range for this role is $112,000 to $143,000 + bonus, equity, and US Benefits. The actual pay may vary based on factors such as location, experience, and skills.