About the role

The Business Development Representative (BDR) is responsible for generating and qualifying new business opportunities and setting qualified meetings for Sales Representatives. This role focuses on outbound and inbound prospect engagement, early stage qualification, and consistent pipeline creation in support of revenue growth, stage qualification, and consistent pipeline creation in support of revenue growth. 

The ideal candidate has previous experience in a BDR or SDR role, is a strong communicator, and has a proven track record of successfully booking meetings for sales teams, preferably within a technology or Microsoft partner environment. 

Why Join Us

We are a Microsoft partner focused on helping organizations modernize and grow through cloud and business solutions. This role offers the opportunity to work closely with experienced sales leaders, develop deep prospecting skills, and directly impact revenue growth.

Reports to: Business Development or Sales Leadership
Location: This role is available in multiple locations. Depending on your location, different work environments are supported: In-office in Tampa, FL and Fargo, ND, or Remote across the rest of the U.S. 

Key Responsibilities

• Proactively identify, contact, and qualify prospective customers through outbound and inbound efforts (phone, email, LinkedIn, campaign follow‑up).
• Conduct initial discovery conversations to assess prospect fit, needs, and interest.
• Schedule qualified meetings between prospects and assigned Sales Representatives.
• Maintain accurate and up‑to‑date activity, notes, and lead status in CRM.
• Collaborate closely with Sales and Marketing to align messaging and improve lead quality.
• Follow defined qualification criteria and hand off well qualified opportunities to Sales.‑qualified opportunities to Sales.
• Meet or exceed activity, meeting set, and pipeline contribution targets.‑set, and pipeline contribution targets.
• Represent the company professionally and consistently in all prospect interactions.

Required Qualifications

• Previous experience in a BDR/SDR or similar role (this role is not intended for entry level candidates).‑level candidates).
• Demonstrated success setting appointments for sales representatives.
• Strong verbal and written communication skills.
• Comfortable engaging prospects via phone, email, and social platforms.
• Ability to follow a structured sales development process while adapting to conversations.
• Strong organization, followup, and time management skills.‑up, and time‑management skills.
• Experience using CRM systems (Microsoft Dynamics CRM, HubSpot, or similar preferred).

Preferred Qualifications

• Experience working for a Microsoft reseller, systems integrator, or technology services firm.
• Familiarity with Microsoft solutions (Dynamics 365, Business Central, Azure, M365) is a plus.
• Experience supporting mid‑market or enterprise sales teams.

Success in This Role Looks Like

• Consistently setting high quality meetings that convert into sales opportunities.‑quality meetings that convert into sales opportunities.
• Providing Sales with well qualified, well documented prospects.‑qualified, well‑documented prospects.
• Maintaining strong activity levels and follow‑up discipline.
• Contributing to predictable pipeline growth for the sales organization.

About the role

The Sales Executive at Enavate will be instrumental in driving new account growth within a given vertical (e.g., Professional Services, Manufacturing + Distribution). This leader will drive outbound demand generation and lead the sales process including relationship management, solutioning, negotiations, and contracting for prospective clients seeking to improve their Microsoft ecosystem (e.g., Microsoft Dynamics, Business Central, and Azure). 

Reports to: Sales Leader
Travel: Up to 50%
Location: This role is available in multiple locations. Depending on your location, different work environments are supported: Hybrid (3 days in office) in Tampa, FL and Fargo, ND, or Remote across the rest of the U.S.

Key Responsibilities:

• Account Acquisition: Craft and implement an annual sales strategy to win net new logos within designated market vertical among mid-market prospects
• Sales Attainment: Lead the sales process from discovery to close to achieve overall sales targets
• Strategic Solution Design: Partner with Delivery and / or Sales Engineering teams to optimize solution for client needs 
• Active Prospecting: Engage in multi-channel outreach to spread awareness and excitement about Enavate’s solutions to new prospects and stakeholders

Additional Responsibilities:

• Market Awareness: Stay informed on industry trends and evolving client needs within given vertical to improve solutioning efforts, targeting, and overall sales approach
• Inform Solutioning & Go To Market Strategy: Capture key success factors, best practices, and challenges and relay back to Marketing, Product, and Delivery functions to improve Enavate’s overall approach
• Presence and Communication: Deliver powerful, credible presentations to internal and external stakeholders, including executive-level attendees
• Project Management: Leverage and improve upon best practices in developing proposals, navigating client’s buying process, and coordinating internal resources & stakeholders across an often lengthy and iterative sales process

Here's What It Takes to Be Successful in This Role:

• Experience: Demonstrated success in new account acquisition, with a focus on SaaS or partner sales. Experience selling large ($100K+ ACV) opportunities to mid-market businesses ($25M - $500M in total revenue) is preferred
• Industry Knowledge: Deep understanding of ERP and CRM solutions, preferably within the Professional Services or Manufacturing + Distribution verticals, with a solid grasp of the Microsoft ecosystem
• Strategic Thinker: Ability to develop and execute strategic plans that drive results, with a focus on new account acquisition and revenue growth
• Action Orientation: Demonstrated persistence in engaging prospects and resolving challenges throughout the sales process 
• Creativity: Identification and implementation of novel and compelling ways to become and remain relevant to prospects, driving overall awareness and interest in Enavate
• Communication Skills: Excellent interpersonal and communication skills, capable of building relationships with clients and stakeholders at all levels

Important: All North American new hires are onboarded in person at our Tampa office. Onboarding typically lasts 3 to 5 days, depending on the role, and provides a dedicated opportunity to connect with your leader, teammates, and our company culture.

About the Role: 
AFS is seeking an AWS Engineer to lead the design, build, and automation of our cutting-edge cloud infrastructure in a DevSecOps environment. The ideal candidate is passionate about building secure, scalable, and highly available platforms on AWS. Your expertise in Infrastructure as Code (IaC), container orchestration with EKS, and CI/CD pipelines will be critical to empowering our development teams with a robust, self-service platform. While our primary focus is AWS, experience in a hybrid environment and private cloud platforms such as VMware or Openshift will make you stand out. 

Key Responsibilities: 

• AWS Infrastructure & Architecture: 

• • Design, build, and maintain scalable, resilient, and secure environments primarily within AWS. 
  • Implement and manage core AWS services, including networking (VPC, Transit Gateway), Kubernetes (EKS), compute (EC2, Lambda), storage (S3, EBS), and databases (RDS). 
  • Architect and operate containerized workloads using Amazon EKS, including cluster management, scaling, and security. 

• Security & Compliance: 

• • Implement and enforce security controls, encryption, and access management to meet compliance standards such as DISA STIGs directly into IaC modules and other code. 

• Team Enablement & Collaboration: 

• • Act as a cloud subject matter expert, providing guidance and support to development teams to optimize their use of the platform. 
  • Collaborate with stakeholders to evaluate new cloud-native technologies and recommend solutions that enhance efficiency and capability. 
  • Champion foundational best practices, including Git workflows and the proficient use of AI tools to accelerate development and problem-solving. 

Required Skills & Experience: 

• Bachelor’s degree in a relevant field or equivalent professional experience (approx. 8+ years in cloud/software engineering). 
• Must possess and maintain required DoD 8140 certifications. 
• Expert-level proficiency with Infrastructure as Code (IaC), with strong hands-on experience in Terraform or other languages, to include advanced usage such as targeted applies, imports and more. 
• Deep experience with container orchestration, specifically designing and managing Amazon EKS clusters. 
• Strong command of AWS IAM roles, policies, and security best practices. 
• Solid understanding of cloud networking, Linux/Unix administration, and security principles. 
• Proficiency with Git and modern GitOps workflows. 

Preferred Qualifications: 

• Experience with VMware vSphere in a hybrid cloud context. 
• Experience with configuration management tools like Ansible. 
• Familiarity with other public clouds (Azure, GCP). 
• Proficiency in one or more programming languages (Python, Go, JavaScript/TypeScript). 
• Understanding of common authentication mechanisms, OIDC, OAuth2, LDAP, SAML. 
• Experience contributing to open-source projects. 
• One or more of the following certifications: 
• AWS Certified DevOps Engineer - Professional 
• Certified Kubernetes Administrator (CKA) 
• HashiCorp Certified: Terraform Associate/Professional 

Clearance:

• An Active TS/SCI is required

#LI-Defense 

Scale AI is seeking a highly skilled and motivated Mission Software Engineer to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale’s government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows.   

You will:

• Work directly with customers to understand their problems and translate those into features in Scale’s platform.
• Be open to >50% travel or relocation to a key customer geographic location.
• Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.
• Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back
• Deploy and maintain Scale software at customer sites
• Develop customer requested features and work closely with them to ensure that they win customer love.
• Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions.
• Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
• This role will require an active TS/SCI security clearance or the ability to obtain a security clearance.

Ideally you have:

• Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles.
• Prior experience developing with Python and JavaScript, or other modern software languages. Familiarity with Node and React is a plus.
• Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
• Linux experience: Understanding of shell scripting, operating systems, etc
• Networking experience: Understanding of networking technologies, configuration  (ports, protocols, etc) 
• Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles
• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles

About the Role: 
AFS is seeking a highly skilled and experienced Senior DevSecOps Engineer (CICD) to join our team. The ideal candidate will have a deep understanding of creating, maintaining, and optimizing GitLab, and other pipelines. This role requires expertise in making pipelines scalable and reusable, building processes for various programming languages, and integrating security and compliance automation into the pipelines and a strong foundation in Linux engineering with advanced skills in containerization technologies. The candidate will have a proven track record in enhancing CI/CD processes and ensuring robust and secure software delivery. 

Core Responsibilities: 

• Design, create, maintain, and optimize GitLab pipelines to ensure efficient and reliable CI/CD processes. 

• Develop scalable and reusable pipeline components to standardize and streamline the software development lifecycle. 

• Implement and manage build processes for various programming languages, ensuring consistency and efficiency across different projects. 

• Automate security and compliance checks within the CI/CD pipelines to ensure adherence to industry standards and regulations. 

• Collaborate with development, operations, and security teams to integrate DevSecOps practices into the software development lifecycle, especially as it pertains to creating, maintaining and optimizing pipelines. 

• Monitor pipeline performance, identify bottlenecks, and implement improvements to enhance speed and reliability. 

• Ensure pipelines are designed to support continuous integration and continuous delivery (CI/CD) best practices. 

• Stay abreast of the latest CI/CD and DevSecOps technologies and recommend more efficient and secure solutions. 

• Working with tools like kustomize, helm, bash, etc. and manipulate data structures such as JSON, YAML, XML. 

•  Building and optimizing container images and the automation of these builds. 

Qualifications: 

• Bachelor’s degree in Computer Science, Information Technology, or a related field or equivalent experience, with a minimum of 3 years' of direct experience in CI/CD or DevSecOps related fields. 

• Extensive experience with GitLab CI/CD pipelines, including creating, maintaining, and optimizing them. 

• Proficient in scripting and automation using languages such as Bash, Python, Go, or similar. 

• Knowledge of networking concepts and protocols such as, but not limited to: TCP/IP, DNS, HTTP, etc. 

 Nice to have:

• Possess and maintain relevant industry certifications related to CI/CD, DevOps, or security. 

• Familiarity with open-source tooling, contributing to open-source tools, ability to diagnose issues and create valuable bug reports. 

• Solid understanding of agile, kanban, and general DevSecOps principles. 

• Prior experience with containerization and orchestration technologies (Docker, Kubernetes). 

• Strong background in cloud platforms (AWS, Azure, GCP, vSphere). 

• Proficient in applying security and compliance standards within CI/CD pipelines. 

• Ability to program in multiple languages. 

Clearance:

• An active TS/SCI is required

#LI-Defense 

About the role

The Senior Sales Engineer is a pivotal member of Enavate’s team, responsible for driving client success and supporting business growth through the delivery of high-impact, business-centric solutions within the Microsoft Dynamics 365 Business Central (BC) ecosystem. This hybrid role blends deep product expertise, hands-on technical fluency, and commercial acumen to guide clients—especially in manufacturing, distribution, and professional services—through their digital transformation journey.

You will lead solution design, pre-sales engagement, and product demonstrations, ensuring seamless collaboration between Sales, Delivery, and Product teams. Your work will span from initial discovery through deployment, focusing on measurable business outcomes and high client satisfaction.

Reports to: Engineering Leader
Travel: Up to 25%
Location: This role is available in multiple locations. Depending on your location, different work environments are supported: Hybrid (3 days in office) in Tampa, FL and Fargo, ND, or Remote across the rest of the U.S. 

Key Responsibilities:

• Pre-Sales Engagement & Solution Delivery: Partner with Sales to lead discovery sessions, design tailored BC solutions, and deliver end-to-end implementations from requirements gathering to post-go-live support.
• Product Demonstrations: Deliver engaging, hands-on demos of Microsoft Business Central and related Microsoft technologies, showcasing business value and ROI.
• Functional & Solution Design: Translate business needs into functional, value-driven solutions leveraging BC’s core capabilities with minimal customization.
• Client Enablement & Training: Facilitate workshops and user training, supporting clients transitioning from legacy systems to modern cloud environments.
• Cross-Functional & Cross-Product Collaboration: Work with internal experts across CE, Power Platform, Azure, and Copilot to build comprehensive Microsoft-based solutions.
• Continuous Improvement: Contribute to the evolution of Enavate’s delivery methodology and industry-specific solution templates.

Here's What It Takes to Be Successful in This Role:

• Experience: 5+ years in pre-sales, solution consulting, or functional consulting within the Microsoft Dynamics ecosystem, with hands-on BC implementation experience.
• Technical Fluency: Deep expertise with Business Central and related Microsoft technologies; able to build and deliver demos confidently.
• Business Acumen: Skilled at linking technical capabilities to business impact and ROI for clients.
• Industry Knowledge: Proven experience supporting clients in manufacturing, distribution, or professional services.
• Communication & Leadership: Excellent presentation, facilitation, and client relationship management skills; able to guide business users and manage expectations.
• Collaboration: Team-oriented, comfortable working across geographies and functions to deliver the best client outcomes.

Important: All North American new hires are onboarded in person at our Tampa office. Onboarding typically lasts 3 to 5 days, depending on the role, and provides a dedicated opportunity to connect with your leader, teammates, and our company culture.

About the opportunity

Candidates must be located in the eastern time zone

Contentful strives to build a secure and safe service and commits considerable effort and resources to security. Our Security team supports organization-wide information security management programs and collaborates closely with internal teams. We believe that Security must be anchored by DevOps principles with strong repeatable processes.

We are looking for a committed and driven manager who is passionate about solving complex security problems in innovative and scalable ways. As a Manager of Security Engineering, you will own security engineering across Contentful’s corporate systems, including the tooling and platforms that support the internal security team. While this role does not own security for the customer facing product, you will partner closely with product security teams within the security organization on shared responsibilities.

You will balance people leadership with hands-on technical execution, including designing, building, and operating security controls and tooling at scale, with a particular focus on areas such as identity and access management, data security, and SaaS platforms. You will provide strategic guidance and lead initiatives while remaining directly involved in implementation. You may work independently at times, but will more often collaborate closely with security, IT, and cross-functional partners to align strategies, execute shared initiatives, and ensure comprehensive risk mitigation while minimizing impact on end users across the organization.

What to expect?

• Develop a team, providing coaching, mentorship, goal setting, and performance feedback.
• Define roles and make hiring decisions to grow the team in line with department needs.
• Remain hands on, balancing technical leadership with direct implementation work.
• Own execution and prioritization across projects and operations, using agile delivery practices.
• Scale and mature effectiveness and efficiency by improving processes and tooling.
• Champion continuous improvement across all aspects of the security program.
• Continuously improve effectiveness and efficiency by evolving processes and tooling.
• Communicate risks and technical concepts with clarity to leadership and stakeholders.
• Collaborate with security leadership to execute business aligned, risk reduction roadmaps.
• Shape work scope, sequencing, and success criteria inline with department and company needs.
• Drive security processes, standards, and best practices across information technology assets.
• Partner with stakeholders to evolve security awareness and specialized training across all functions.
• Mature capabilities across endpoint, SaaS, and cloud configuration.
• Own strategy evolution of corporate capabilities, including configuration, IAM, and data security.
• Enhance tooling, automation, and integrations to improve visibility and reduce manual effort.
• Support and guide security incident response efforts as a technical leader.
• Support cross functional vulnerability management while advancing the program capabilities.
• Define and maintain metrics to measure impact, optimize execution, and guide investment.
• Partner with cross-functional teams for security enhancement and drive risk reduction.
• Accelerate adoption of AI, balancing practicality enablement, and risk management.
• Stay current on threats, vulnerabilities, and tactics, translating insights into actionable strategies.

What you need to be successful?

• 8+ years of progressive engineering and security experience.
• 3+ years managing people and security engineering teams.
• Comfort operating in ambiguity, balancing strategic thinking, security, and practicality.
• Expertise with AWS, GCP, and Azure.
• Strong hands-on experience designing, implementing, and operating security controls at scale.
• Demonstrated experience securing endpoint, SaaS, and cloud environments.
• Experience working within identity and access management and data security programs.
• Software development experience in modern programming language (Python, Go, etc)
• Hands-on experience using Terraform and infrastructure-as-code.
• Experience applying modern practices to improve efficiency and scalability or security programs.
• Passion for solving complex security problems in innovative and scalable ways.
• Experience using metrics to measure impact, optimize execution, and guide investment decisions.
• Strong communication skills with the ability to explain technical topics to non technical audiences.
• Ability to support occasional off-hours incident response efforts.
• Familiarity with attacker techniques in cloud-native and traditional environments.
• Hands-on experience owning security technologies (e.g., EDR, AntiVirus, etc.)
• Proven ability to lead cross-functional initiatives and influence outcomes without direct authority.
• Experience owning end to end security programs, proactively driving incremental improvement.
• Strong systems thinking, with the ability to design security solutions that scale through efficiency.

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

#LI-Remote

IT Infrastructure Engineer

Reports to: IT Infrastructure Engineering Senior Manager

FLSA Status: Full time

The Company

Meriton is a national investment holding company with a portfolio of companies in the commercial HVAC industry.  Founded in 2019, we believe merit has everything to do with standards and that nothing is beyond or beneath us.  We base those standards around a set of values that we hold tightly to, ensuring we are building the right thing, at the right time, with the right people.  We know that business is earned – never given – and that’s why we’re serious about what we do.  Working together, we’ll co-create lasting growth by defining big visions and hammering down little details.  Our resources streamline business processes and provide access to a network of teams with extensive industry experience.

The Opportunity

We are seeking a highly skilled and motivated IT Infrastructure Engineer to oversee the company's IT infrastructure, ensuring its stability and efficiency while engineering effective solutions.  This role combines hands‑on execution with engaging external technology partners, as needed, to help implement and embed our IT standards within a portfolio company.  The IT Infrastructure Engineer is also responsible for supporting gap assessments by identifying where a portfolio company does not meet a given standard and helping to address and close those gaps.  Additional responsibilities include building projects such as implementing audio visual solutions for conference rooms and other workspaces, meeting building security requirements including access control and camera systems, addressing low‑voltage needs, and installing network equipment, printers, and other technology equipment as required.  They possess excellent interpersonal and communication skills, both oral and written, and can articulate ideas to both technical and non-technical audiences. 

Responsibilities

• Engineer and maintain IT systems and infrastructure.
• Create and maintain IT infrastructure roadmaps.
• Research and evaluate new infrastructure technologies and services, performing PoCs and pilots where appropriate.
• Collaborate with DevOps, Service Delivery, and Cyber Security teams to design infrastructure that meets performance, reliability, and security requirements.
• Deliver internal training or knowledge sharing sessions on infrastructure tools and processes.
• Provide infrastructure impact assessments for proposed changes and new applications.
• Provide technical input on RFPs and vendor selection related to infrastructure services and solutions.
• Maintain awareness of emerging infrastructure trends and recommend adoption where beneficial.
• Participate in governance forums or CABs as needed to represent infrastructure interests and risks.
• Act as a subject matter expert for infrastructure topics to IT leadership and business stakeholders, advising on feasibility and risk.
• Assess, plan, and execute the transition of network infrastructure to align with company standards. This includes hardware, software, and network configuration.
• Work closely with internal and external stakeholders, including IT teams, vendors, and new company representatives, to ensure successful project execution.
• Identify and mitigate potential risks and issues related to the onboarding and transition process.
• Create and maintain comprehensive documentation for all projects, including project plans, network diagrams, system documentation, architecture diagrams, transition procedures, and standard operating procedures.
• Perform Layer 2 and Layer 3 network troubleshooting and optimization to ensure seamless communication across devices and applications.
• Coordinate with ISPs to address connectivity issues and oversee circuit upgrades or installations.
• Train end users in the use of equipment and software.
• Perform system administration for various enterprise tools and platforms.

Qualifications

• Minimum 5 years of experience in an IT services support role.
• Associate’s degree preferred.
• In-depth knowledge of network infrastructure, including routers, switches, firewalls, and wireless networks.
• Strong PowerShell experience preferred.
• Strong Office 365 administration experience preferred.
• Strong Azure and Windows Server experience.
• Strong knowledge of TCP/IP - LAN, WAN, wLAN and vLAN technologies.
• Strong knowledge of MS Active Directory infrastructure.
• Familiarity with IP Telephony and cell phone technology.
• iOS experience preferred.
• Excellent analytic and problem-solving skills.
• Capable of working independently with minimal supervision.

Additional Information

This position requires travel to Meriton locations and customer sites across the U.S.

This job description is not intended to be all-inclusive; employees may perform other related duties as negotiated to meet the ongoing needs of the organization.

Meriton is an Equal Opportunity Employer. 

Detection Engineer

Reports to: Senior Manager Threat Detection & Research

Hybrid Tampa, FL Or Remote 

While proximity to Tampa is preferred to support a hybrid schedule in our Tampa Center of Excellence, we’re open to remote candidates who can support the Eastern Time Zone.

Reporting to the Sr. Manager, Threat Detection & Research the Detection Engineer will serve as a subject matter expert in cybersecurity detections. This individual will participate in cybersecurity detection strategy, creation, tuning, validation, and correlation to ensure that Deepwatch customers have effective detections in place against an ever-changing threat landscape. Deepwatch Detection Engineers perform a wide array of tasks in an effort to increase alert fidelity, reduce false positives, and better inform MDR Security Analysts. 

Detection Engineers have a direct impact on customer security posture over time by increasing the operational efficiency and effectiveness of MDR Security Analysts and by aligning efforts with customer security priorities.

In this role, you’ll get to:

• Develop and document new Detection Capabilities for customer environments
• Work with customers to develop a comprehensive strategy for effective detections 
• Leverage industry frameworks, such as MITRE ATT&CK Framework, for customer-facing alert improvement roadmap
• Apply knowledge of common detection tools (Azure logging, command line logging, etc.) to advise customers on logging capabilities to expand applicable detection library
• Confidently prioritize log sources for ingestion and enablement
• Evaluate current monitoring and detection capabilities to identify areas for improvement
• Conduct Detection Gap Analyses 
• Manage detection capabilities to ensure appropriate coverage, effective operation, and adherence to Deepwatch standards
• Detection Enablement
• Detection Effectiveness (Tuning, Validation, etc.)
• Detection Creation
• Onboard assigned customers, establishing baseline detection coverage and detection enablement plan post onboarding
• Ensure ingested log sources conform to CIM standards

To be successful in this role, you’ll need:

• Experience working for a Managed Security Service Provider (MSSP) or similar cybersecurity organization
• Experience working and querying SIEM tools or other log-based data preferably Splunk
• Experience in engineering event detection & response tuning
• Ability to engineer creative, scalable, and out-of-the-box solutions
• Up to date with engineering best practices, security technology trends, tools, and frameworks
• Experience in developing detections for attacker tactics, techniques, and procedures (TTPs)
• Able to both investigate and create security rules in at least 1 SIEM
• Understanding of general enterprise network architecture and security incident response
• Understanding of common enterprise technologies and logging capabilities including Cloud, IDS/IPS, Firewalls, Active Directory, Anti-Virus/EDR, Proxies, and Email Gateway
• Understanding of various attack frameworks such as MITRE ATT&CK and general adversarial / defensive security techniques (e.g. the Cyber Kill Chain, and NIST)
• Ability to communicate and document technical information effectively towards various audience

Statutory Pay Disclosure

The anticipated salary range for this role is $94,500 - $118,700 + stock options + benefits. Actual compensation may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level.

ITAR Compliance

This position will have access to customer data and as such is subject to International Traffic in Arms Regulations (ITAR). Upon application, candidates will be asked to confirm that they are a U.S. Person as defined by the following:

• A citizen of the U.S.;
• A lawful permanent resident of the United States; 
• A person admitted to the United States as a refugee; or
• A person that has been granted asylum by the United States government.

The intent of this requirement is not to verify employment eligibility overall, but to ensure compliance with import/export regulations. If you do not meet these requirements, we encourage you to apply for other open roles at Deepwatch. This information will be verified upon offer of employment.

Position Overview

Woolpert is hiring a Technical Dynamics 365 Data Migration Manager to join our dynamic Corporate Applications. This position reports to the Senior Director, Corporate Applications. This role is accountable for leading and executing ERP data migrations for companies acquired by Woolpert in support of the firm’s growth strategy. This role is a hands-on technical leadership position within the Corporate Applications team, responsible for defining migration strategy, leading the IT data migration team, and designing and executing enterprise-wide data migration and ETL processes.

This role is critical to the successful integration of acquired companies into Microsoft Dynamics 365 Finance & Operations (F&O) and Customer Engagement (CE) by ensuring accurate, timely, and auditable conversion of legacy data into Woolpert’s ERP ecosystem. The position requires a balance of people leadership and deep hands‑on technical execution, with direct involvement in complex data extraction, transformation, loading, reconciliation, and validation across global legal entities. Strong SQL expertise, data mapping, and validation experience are required to support complex financial, multicurrency, and operational datasets across diverse legal structures.

We are unable to provide visa sponsorship for this position.  Applicants must already possess work authorization in the country the job is located.

What You Will Do:

Leadership & Strategy

• Own and lead the ERP Data Migration workstream within Woolpert’s overall M&A integration program.
• Define and execute end‑to‑end data migration strategies for complex ERP integrations following acquisitions.
• Partner closely with the M&A Integration Director, Corporate Applications leadership, Business Process Owners, and acquisition stakeholders to define data requirements, timelines, risks, and dependencies.
• Lead and manage a blended team of approximately 10 employees and contractors, supporting multiple parallel ERP migrations globally.
• Drive continuous improvement, automation, and efficiency across migration and ETL processes.

Data Migration & ETL Execution

• Design, build, and oversee data extraction, transformation, and loading (ETL) processes from legacy systems into Microsoft Dynamics 365 F&O and CE.
• Lead data mapping and conversion for master data and historical transactional data, including complex financial, operational, and multicurrency datasets.
• Ensure accurate integration with downstream and upstream systems (e.g., Dayforce and other enterprise platforms).
• Execute mock conversions, cutover planning, and final production migrations with a strong focus on accuracy and auditability.
• Own data reconciliation, validation, and issue resolution between source systems and target ERP.

Data Quality, Governance & Validation

• Ensure the accuracy, completeness, and integrity of migrated data through robust validation, testing, and reconciliation processes.
• Identify and resolve data quality issues, inconsistencies, gaps, and anomalies prior to migration.
• Design and implement error handling and rollback strategies to mitigate migration risk.
• Maintain comprehensive documentation covering mappings, transformation logic, validation results, and operational procedures.

Architecture & Continuous Improvement

• Own the architecture and design of ERP data migration solutions across all M&A activity.
• Reduce migration cycle time through innovative tools, automation, and repeatable frameworks.
• Continuously refine and evolve ETL processes to improve quality, scalability, and efficiency.

What You Will Bring:

Education & Experience

• Bachelor’s degree in Computer Science, Information Technology, Mathematics, or a related field, or equivalent experience.
• Proven experience in managing/leading teams and delivering full‑lifecycle ERP implementations.
• 10+ years of experience working with data migrations for complex ERP implementations, preferably in M&A environments.
• 7+ years of hands‑on experience with Microsoft Dynamics 365 Finance & Operations, including deep knowledge of data entities and structures.
• 10+ years of demonstrated expertise in SQL, including queries, scripting, and stored procedures.
• 10+ years of experience in data analysis, conversions, source‑to‑target mappings, testing, and operational support.

Technical Expertise

• Advanced proficiency in SQL, including queries, scripting, stored procedures, and performance tuning.
• Extensive experience with ETL tools and ERP migration platforms such as Azure Data Factory (ADF), DMF/DIXF, KingswaySoft (SSIS), eOne SmartConnect, TIBCO Scribe, or equivalent tools.
• Strong data analysis and transformation skills using SQL, Excel, and ETL platforms.
• Experience with multicurrency financial data, including general ledger structures, historical exchange rates, and financial reconciliation. Must demonstrate proven expertise in mapping and reconciling financial transactions across multiple currencies, managing historical exchange rates, and ensuring balance integrity and consistency.
• Familiarity with Azure, Dataverse, Power Platform, Power BI, and Azure DevOps is preferred.

Leadership & Communication

• Demonstrated ability to manage, mentor, and coach technical and functional data migration teams.
• Strong stakeholder management skills with the ability to communicate effectively across technical and business audiences.
• Excellent written and verbal communication skills with the ability to present complex concepts clearly and concisely.
• Proven ability to operate in a fast‑paced, deadline‑driven M&A environment.
• Strong interpersonal skills across both verbal (day‑to‑day discussions, team meetings, workshops) and written (requirements and design specifications) communication, with a consistent focus on clarity and precision.

Core Competencies

• Strong analytical and problem‑solving skills with exceptional attention to detail.
• Ability to evaluate complex datasets, reconcile discrepancies, and translate data into actionable insights.
• Adaptability and resourcefulness in dynamic, high‑change environments.
• Strong business acumen with an understanding of how data migration impacts financial and operational outcomes.

Technical Skills Summary

• Microsoft Dynamics 365 Finance & Operations and Customer Engagement
• SQL Server / SQL Management Studio
• ETL & Migration Tools (e.g., ADF, DMF/DIXF, SSIS/KingswaySoft, Scribe, SmartConnect)
• Azure DevOps
• Microsoft Excel
• Power BI
• Data mapping, automated testing, validation, and reconciliation tools

Benefits You Will Love

Certified as a Great Place to Work, Woolpert is one of the fastest-growing architecture, engineering, and geospatial companies in the world. With over 75 offices and countless projects around the globe, you’ll work on meaningful assignments that improve quality of life around the world. In addition to offering competitive pay, we provide employees with a robust set of unique benefits, including:

• Freedom to Work program: Set your own schedule and location (as appropriate).
• Principal program: Earn the opportunity to become an owner of the firm.
• Flexible paid time off/vacation: Take time off when it makes sense for you and your team.
• Career development: Explore a wide range of learning and growth opportunities within and across industries.
• Health, life, vision, and dental insurance: Cover all your medical bases.
• Paid sick time, retirement plan, fitness reimbursement, pet insurance, identity protection, technology stipend, employee assistance program, and more!

#LI-Hybrid

Who we are:

Raft (https://TeamRaft.com) is a customer-obsessed non-traditional defense tech company dedicated to empowering U.S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. With headquarters in McLean, VA, our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans.

We’re looking for an experienced Principal ML Ops Engineer to support our customers and join our passionate team of high-impact problem solvers.

About the role:

Raft is building mission-critical AI and data platforms for the Department of Defense (DoD). Our systems ingest and process massive volumes of real-time data from hundreds of sensors and operational sources, transform that data into usable intelligence, and deliver it to operators through mission applications and common operational pictures that support time-sensitive decision-making.

Our platform operates at scale, processing billions of events per day with low-latency data pipelines and cloud-native infrastructure. As Raft expands its AI capabilities, we are investing in a more mature end-to-end machine learning platform to support model development, evaluation, deployment, monitoring, and lifecycle management across both cloud and constrained operational environments.

In this role, you will help design, deploy, and mature Raft’s ML platform and MLOps infrastructure. You will work across Kubernetes-based deployment environments, GPU-enabled infrastructure, model serving systems, CI/CD pipelines, and secure production operations to enable rapid and reliable delivery of machine learning capabilities. This role is ideal for someone who understands both the infrastructure needed to run ML systems in production and the practical needs of ML engineers building and deploying models.

What you’ll do:

• Design, build, and maintain secure, scalable MLOps infrastructure and deployment pipelines for production ML systems
• Help mature Raft’s internal ML platform and model lifecycle capabilities, including model packaging, registry/catalog workflows, deployment, monitoring, and operational support
• Deploy and manage machine learning workloads on Kubernetes, including GPU-enabled clusters
• Support model serving and inference infrastructure for a range of ML use cases, including traditional ML, computer vision, speech/audio, and LLM-based systems
• Build and maintain CI/CD workflows for ML services, model artifacts, and platform components
• Partner closely with ML engineers, software engineers, and product teams to move models from experimentation to reliable operational deployment
• Improve observability, reliability, security, and maintainability across ML infrastructure and services
• Help evaluate and standardize runtime patterns, serving frameworks, and deployment architectures for production ML workloads
• Contribute to infrastructure decisions across edge, on-prem, and cloud-hosted deployment environments
• Support compliance-driven deployment practices and secure software supply chain requirements in defense environments
• Get hands-on with customers at the most forward-leaning places in the Department of War

What we are looking for:

• 7+ years of relevant hands-on experience in software engineering, platform engineering, DevOps, MLOps, or related technical roles
• 5+ years of experience with Docker and Kubernetes in production environments
• 5+ years of experience supporting enterprise cloud infrastructure or applications in AWS, Azure, or similar environments
• Strong experience provisioning, operating, and troubleshooting Kubernetes clusters in production
• Experience building and maintaining machine learning platforms, infrastructure, or pipelines used by engineering or data science teams
• Practical experience deploying machine learning workloads on Kubernetes
• Experience managing clusters or workloads that use GPUs
• Strong understanding of Helm and Kubernetes deployment patterns
• Strong scripting or programming skills, preferably in Python
• Experience with modern software engineering practices including Git, CI/CD, DevOps, and Agile/Scrum workflows
• Strong troubleshooting, systems thinking, and communication skills
• Ability to work independently and collaboratively in a fast-moving environment
• Ability to obtain and maintain a Top Secret clearance
• Ability to obtain Security+ certification within the first 90 days of employment

Highly preferred:

• Experience with ML model serving and inference platforms such as Triton Inference Server, KServe, Ray Serve, vLLM, or similar technologies
• Experience with secure and compliant deployment practices in regulated or government environments
• Experience with Kubernetes-based ML platforms such as Kubeflow
• Familiarity with service mesh technologies such as Istio
• Experience provisioning and debugging complex CI/CD systems
• Experience with infrastructure as code tools such as Terraform
• Familiarity with software supply chain security, container hardening, vulnerability management, and runtime scanning
• Experience supporting ML systems across multiple deployment environments, including cloud, on-prem, and edge
• Background working with machine learning engineers on model training, evaluation, packaging, and release workflows
• Familiarity with storage and artifact systems used in ML platforms, such as S3-compatible object stores, registries, and metadata/catalog system

What success looks like:

• You help Raft stand up a more mature and repeatable ML platform for deploying and managing models in production
• ML engineers can move faster because deployment, serving, and platform workflows are clearer, more reliable, and easier to use
• Model deployments become more secure, observable, and supportable across real-world mission environments
• The organization gains stronger infrastructure for model lifecycle management, including deployment standards, runtime patterns, and platform ownership

Clearance Requirements:

• Ability to obtain and maintain a Top Secret clearance 

Work Type: 

• Remote in DMV; McLean, VA; Boston, MA; San Antonio, TX; Colorado Springs, CO; Tampa, FL; Honolulu, HI Locations ONLY
• May require up to 40% travel
  

Salary Range: $150,000.00 - $200,000.00

What we will offer you:

• Highly competitive salary
• Fully covered healthcare, dental, and vision coverage
• 401(k) and company match
• Take as you need PTO + 11 paid holidays
• Education & training benefits
• Annual budget for your tech/gadgets needs
• Monthly box of yummy snacks to eat while doing meaningful work
• Remote, hybrid, and flexible work options
• Team off-site in fun places!
• Generous Referral Bonuses
• And More!

Our Vision Statement: 

We bridge the gap between humans and data through radical transparency and our obsession with the mission. 

Our Customer Obsession: 

We will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies.

How do we get there? 

Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm. 

Raft’s core philosophy is Ubuntu: I Am, Because We are. We support our “nadi” by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration. 

Note:  we are unable to hire in every state 

Summary: Responsible for provisioning, installation, configuration, operation, maintenance support of endpoint hardware, software, applications and access in a mixed Windows and macOS environment. 

Key Responsibilities: “To simplify complexities for each customer.” 

Customer Service 

• Respond to escalated requests for assistance within established SLAs. 

• Participate in after-hours, on-call support rotation as necessary. 

 Project Management 

• Create project plans within identified PM toolset. Identifies all resources, objectives, subtasks and timelines.  

• Own and manage new hire onboarding, laptop refresh, application upgrade, and similar initiatives in the end-user support space. 

 Documentation 

• Create and maintain technical documentation including standard operating procedures, user guides, knowledge base articles, diagrams and system configurations. 

• Research escalated issues, identify, implement, and document resolutions. 

• Perform knowledge transfer to MSP partner organizations. 

 Strategic Initiatives 

• Actively engages in driving strategic initiatives in the end user/endpoint space, and the related goals, to ensure the most optimal outcome. 

 Communication 

• Effectively communicates using written, oral, non-verbal, and active listening skills.  Has the ability to clearly present an idea or concept so others understand, lets others speak, and engages productively in difficult conversations while upholding our ethical values. 

 Endpoint Engineering 

• Collaborate across IT functional teams to resolve complex issues or assigned tasks as well as design, evaluate, implement, and maintain approved modifications to systems, services and processes. 

• Ensure compliance with security policies and procedures for all systems administered. 

• Manage the approved application catalog, including evaluating, packaging, testing, and deploying end user applications via standard channels. 

 Process Improvement 

• Evaluate completed work requests to assess resolution, identify recurring problems, and ensure resolution is documented and shared with L1 and L2 support teams. 

• Review ongoing processes for user onboarding, laptop provisioning, etc., for opportunities to improve automation, resilience, and repeatability.  After identifying opportunities, lead and drive efforts to implement and test code and process changes. 

• Continuously evaluate existing endpoint environments compared to upcoming technology changes.  Identify and implement changes as necessary to remain current with best practices and current tools. 

 Professional Development 

• Stay informed on current and emerging technologies and standards. 

• Identify key gaps in technical and procedural knowledge and create action plans for continued professional development. 

 Qualifications/Education/Certifications: 

Associate’s degree; Bachelor’s degree preferred, plus minimum of 4 years relevant work experience or equivalent combination of education and experience.  Intune and/or Jamf endpoint administration certifications preferred. 

 Knowledge, Skills, and Abilities: 

Variable work hours, including evenings and weekends, may be required due to the nature of installed technologies and utilization requirements. 

 Required: 

• 4-6 years supporting Windows 10, Windows 11, macOS 

• Policy creation in Intune, Jamf 

• Experience creating and testing install packages to be deployed via Intune/Company Portal and Jamf 

• Experience coding and testing device management scripts and endpoint remediations 

• Familiarity with programming or scripting – PowerShell, Python, bash 

• Must be comfortable with change, close collaboration, and have conflict resolution skills 

• Knowledge of or willingness to learn Agile / DevOps values 

• Demonstrated knowledge of security protocols and practices 

• Ability to communicate technical topics to a non-technical audience 

 Preferred: 

• Microsoft 365 administration 

• Azure VDI support 

• User management via Active Directory / Entra  

• Jira, Confluence, ServiceNow 

 Role-Based Competencies: 

• Shows Drive & Initiative 

• Collaboration & Teamwork 

• Delivers Quality Results Timely 

• Communicates Effectively 

• Job Knowledge & Skills 

Physical Demands/Working Conditions:  

Duties are performed primarily in a home office setting utilizing computer equipment.  Travel to attend meetings and visit locations throughout the country may be required.  While performing the duties of this job, the employee is regularly required to sit and talk or hear.  The employee is frequently required to use hands.  The employee is occasionally required to stand and walk.  

*** Job descriptions will be reviewed and are subject to changes of business necessity.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 

Who we are:

Raft (https://TeamRaft.com) is a customer-obsessed non-traditional defense tech company dedicated to empowering U.S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. With headquarters in McLean, VA, our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans.

We’re looking for an experienced Principal ML Ops Engineer to support our customers and join our passionate team of high-impact problem solvers.

About the role:

Raft is building mission-critical AI and data platforms for the Department of Defense (DoD). Our systems ingest and process massive volumes of real-time data from hundreds of sensors and operational sources, transform that data into usable intelligence, and deliver it to operators through mission applications and common operational pictures that support time-sensitive decision-making.

Our platform operates at scale, processing billions of events per day with low-latency data pipelines and cloud-native infrastructure. As Raft expands its AI capabilities, we are investing in a more mature end-to-end machine learning platform to support model development, evaluation, deployment, monitoring, and lifecycle management across both cloud and constrained operational environments.

In this role, you will help design, deploy, and mature Raft’s ML platform and MLOps infrastructure. You will work across Kubernetes-based deployment environments, GPU-enabled infrastructure, model serving systems, CI/CD pipelines, and secure production operations to enable rapid and reliable delivery of machine learning capabilities. This role is ideal for someone who understands both the infrastructure needed to run ML systems in production and the practical needs of ML engineers building and deploying models.

What you’ll do:

• Design, build, and maintain secure, scalable MLOps infrastructure and deployment pipelines for production ML systems
• Help mature Raft’s internal ML platform and model lifecycle capabilities, including model packaging, registry/catalog workflows, deployment, monitoring, and operational support
• Deploy and manage machine learning workloads on Kubernetes, including GPU-enabled clusters
• Support model serving and inference infrastructure for a range of ML use cases, including traditional ML, computer vision, speech/audio, and LLM-based systems
• Build and maintain CI/CD workflows for ML services, model artifacts, and platform components
• Partner closely with ML engineers, software engineers, and product teams to move models from experimentation to reliable operational deployment
• Improve observability, reliability, security, and maintainability across ML infrastructure and services
• Help evaluate and standardize runtime patterns, serving frameworks, and deployment architectures for production ML workloads
• Contribute to infrastructure decisions across edge, on-prem, and cloud-hosted deployment environments
• Support compliance-driven deployment practices and secure software supply chain requirements in defense environments
• Get hands-on with customers at the most forward-leaning places in the Department of War

What we are looking for:

• 7+ years of relevant hands-on experience in software engineering, platform engineering, DevOps, MLOps, or related technical roles
• 5+ years of experience with Docker and Kubernetes in production environments
• 5+ years of experience supporting enterprise cloud infrastructure or applications in AWS, Azure, or similar environments
• Strong experience provisioning, operating, and troubleshooting Kubernetes clusters in production
• Experience building and maintaining machine learning platforms, infrastructure, or pipelines used by engineering or data science teams
• Practical experience deploying machine learning workloads on Kubernetes
• Experience managing clusters or workloads that use GPUs
• Strong understanding of Helm and Kubernetes deployment patterns
• Strong scripting or programming skills, preferably in Python
• Experience with modern software engineering practices including Git, CI/CD, DevOps, and Agile/Scrum workflows
• Strong troubleshooting, systems thinking, and communication skills
• Ability to work independently and collaboratively in a fast-moving environment
• Ability to obtain and maintain a Top Secret clearance
• Ability to obtain Security+ certification within the first 90 days of employment

Highly preferred:

• Experience with ML model serving and inference platforms such as Triton Inference Server, KServe, Ray Serve, vLLM, or similar technologies
• Experience with secure and compliant deployment practices in regulated or government environments
• Experience with Kubernetes-based ML platforms such as Kubeflow
• Familiarity with service mesh technologies such as Istio
• Experience provisioning and debugging complex CI/CD systems
• Experience with infrastructure as code tools such as Terraform
• Familiarity with software supply chain security, container hardening, vulnerability management, and runtime scanning
• Experience supporting ML systems across multiple deployment environments, including cloud, on-prem, and edge
• Background working with machine learning engineers on model training, evaluation, packaging, and release workflows
• Familiarity with storage and artifact systems used in ML platforms, such as S3-compatible object stores, registries, and metadata/catalog system

What success looks like:

• You help Raft stand up a more mature and repeatable ML platform for deploying and managing models in production
• ML engineers can move faster because deployment, serving, and platform workflows are clearer, more reliable, and easier to use
• Model deployments become more secure, observable, and supportable across real-world mission environments
• The organization gains stronger infrastructure for model lifecycle management, including deployment standards, runtime patterns, and platform ownership

Clearance Requirements:

• Ability to obtain and maintain a Top Secret clearance 

Work Type: 

• Remote in DMV; McLean, VA; Boston, MA; San Antonio, TX; Colorado Springs, CO; Tampa, FL; Honolulu, HI Locations ONLY
• May require up to 40% travel
  

Salary Range: $150,000.00 - $200,000.00

What we will offer you:

• Highly competitive salary
• Fully covered healthcare, dental, and vision coverage
• 401(k) and company match
• Take as you need PTO + 11 paid holidays
• Education & training benefits
• Annual budget for your tech/gadgets needs
• Monthly box of yummy snacks to eat while doing meaningful work
• Remote, hybrid, and flexible work options
• Team off-site in fun places!
• Generous Referral Bonuses
• And More!

Our Vision Statement: 

We bridge the gap between humans and data through radical transparency and our obsession with the mission. 

Our Customer Obsession: 

We will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies.

How do we get there? 

Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm. 

Raft’s core philosophy is Ubuntu: I Am, Because We are. We support our “nadi” by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration. 

Who we are:

Raft (https://TeamRaft.com) is a customer-obsessed non-traditional defense tech company dedicated to empowering U.S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. With headquarters in McLean, VA, our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans.

We’re looking for an experienced Principal ML Ops Engineer to support our customers and join our passionate team of high-impact problem solvers.

About the role:

Raft is building mission-critical AI and data platforms for the Department of Defense (DoD). Our systems ingest and process massive volumes of real-time data from hundreds of sensors and operational sources, transform that data into usable intelligence, and deliver it to operators through mission applications and common operational pictures that support time-sensitive decision-making.

Our platform operates at scale, processing billions of events per day with low-latency data pipelines and cloud-native infrastructure. As Raft expands its AI capabilities, we are investing in a more mature end-to-end machine learning platform to support model development, evaluation, deployment, monitoring, and lifecycle management across both cloud and constrained operational environments.

In this role, you will help design, deploy, and mature Raft’s ML platform and MLOps infrastructure. You will work across Kubernetes-based deployment environments, GPU-enabled infrastructure, model serving systems, CI/CD pipelines, and secure production operations to enable rapid and reliable delivery of machine learning capabilities. This role is ideal for someone who understands both the infrastructure needed to run ML systems in production and the practical needs of ML engineers building and deploying models.

What you’ll do:

• Design, build, and maintain secure, scalable MLOps infrastructure and deployment pipelines for production ML systems
• Help mature Raft’s internal ML platform and model lifecycle capabilities, including model packaging, registry/catalog workflows, deployment, monitoring, and operational support
• Deploy and manage machine learning workloads on Kubernetes, including GPU-enabled clusters
• Support model serving and inference infrastructure for a range of ML use cases, including traditional ML, computer vision, speech/audio, and LLM-based systems
• Build and maintain CI/CD workflows for ML services, model artifacts, and platform components
• Partner closely with ML engineers, software engineers, and product teams to move models from experimentation to reliable operational deployment
• Improve observability, reliability, security, and maintainability across ML infrastructure and services
• Help evaluate and standardize runtime patterns, serving frameworks, and deployment architectures for production ML workloads
• Contribute to infrastructure decisions across edge, on-prem, and cloud-hosted deployment environments
• Support compliance-driven deployment practices and secure software supply chain requirements in defense environments
• Get hands-on with customers at the most forward-leaning places in the Department of War

What we are looking for:

• 7+ years of relevant hands-on experience in software engineering, platform engineering, DevOps, MLOps, or related technical roles
• 5+ years of experience with Docker and Kubernetes in production environments
• 5+ years of experience supporting enterprise cloud infrastructure or applications in AWS, Azure, or similar environments
• Strong experience provisioning, operating, and troubleshooting Kubernetes clusters in production
• Experience building and maintaining machine learning platforms, infrastructure, or pipelines used by engineering or data science teams
• Practical experience deploying machine learning workloads on Kubernetes
• Experience managing clusters or workloads that use GPUs
• Strong understanding of Helm and Kubernetes deployment patterns
• Strong scripting or programming skills, preferably in Python
• Experience with modern software engineering practices including Git, CI/CD, DevOps, and Agile/Scrum workflows
• Strong troubleshooting, systems thinking, and communication skills
• Ability to work independently and collaboratively in a fast-moving environment
• Ability to obtain and maintain a Top Secret clearance
• Ability to obtain Security+ certification within the first 90 days of employment

Highly preferred:

• Experience with ML model serving and inference platforms such as Triton Inference Server, KServe, Ray Serve, vLLM, or similar technologies
• Experience with secure and compliant deployment practices in regulated or government environments
• Experience with Kubernetes-based ML platforms such as Kubeflow
• Familiarity with service mesh technologies such as Istio
• Experience provisioning and debugging complex CI/CD systems
• Experience with infrastructure as code tools such as Terraform
• Familiarity with software supply chain security, container hardening, vulnerability management, and runtime scanning
• Experience supporting ML systems across multiple deployment environments, including cloud, on-prem, and edge
• Background working with machine learning engineers on model training, evaluation, packaging, and release workflows
• Familiarity with storage and artifact systems used in ML platforms, such as S3-compatible object stores, registries, and metadata/catalog system

What success looks like:

• You help Raft stand up a more mature and repeatable ML platform for deploying and managing models in production
• ML engineers can move faster because deployment, serving, and platform workflows are clearer, more reliable, and easier to use
• Model deployments become more secure, observable, and supportable across real-world mission environments
• The organization gains stronger infrastructure for model lifecycle management, including deployment standards, runtime patterns, and platform ownership

Clearance Requirements:

• Ability to obtain and maintain a Top Secret clearance 

Work Type: 

• Remote in DMV; McLean, VA; Boston, MA; San Antonio, TX; Colorado Springs, CO; Tampa, FL; Honolulu, HI Locations ONLY
• May require up to 40% travel
  

Salary Range: $150,000.00 - $200,000.00

What we will offer you:

• Highly competitive salary
• Fully covered healthcare, dental, and vision coverage
• 401(k) and company match
• Take as you need PTO + 11 paid holidays
• Education & training benefits
• Annual budget for your tech/gadgets needs
• Monthly box of yummy snacks to eat while doing meaningful work
• Remote, hybrid, and flexible work options
• Team off-site in fun places!
• Generous Referral Bonuses
• And More!

Our Vision Statement: 

We bridge the gap between humans and data through radical transparency and our obsession with the mission. 

Our Customer Obsession: 

We will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies.

How do we get there? 

Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm. 

Raft’s core philosophy is Ubuntu: I Am, Because We are. We support our “nadi” by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration. 

AFS is seeking a Senior AWS DevSecOps Engineer to lead the design, build, and automation of our cutting-edge hybrid cloud infrastructure. The ideal candidate is passionate about building secure, scalable, and highly available platforms on AWS and other cloud platforms utilizing cloud-native technologies. Your expertise in Infrastructure as Code (IaC), container orchestration with EKS, and CI/CD pipelines will be critical to empowering our development & data science teams with a robust, self-service platform. While our primary focus is AWS, experience in a hybrid environment with VMware is a plus.

Responsibilities

• AWS Infrastructure & Architecture: Design, build, and maintain scalable, resilient, and secure environments primarily within AWS. Implement and manage core AWS services, including networking (VPC, Transit Gateway), Kubernetes (EKS), compute (EC2, Lambda), storage (S3, EBS), and databases (RDS). Architect and operate containerized workloads using Amazon EKS, including cluster management, scaling, and security.
• DevSecOps & Automation: Champion and implement Infrastructure as Code (IaC) using Terraform to automate all aspects of cloud resource provisioning and management. Develop, manage, and optimize robust CI/CD pipelines to enable rapid and reliable software delivery. Master AWS IAM, creating and managing roles, policies, and permissions based on the principle of least privilege. Develop custom automation scripts and tooling (e.g., using Python, Go, or Bash) to streamline operations and eliminate manual processes, heavily focusing on the usage of API’s.
• Security & Compliance: Integrate security best practices directly into the platform and pipelines (DevSecOps). Implement and enforce security controls, encryption, and access management to meet compliance standards such as DISA STIGs. Collaborate with security teams to implement robust monitoring solutions.
• Team Enablement & Collaboration: Act as a cloud subject matter expert, providing guidance and support to development teams to optimize their use of the platform. Collaborate with stakeholders to evaluate new cloud-native technologies and recommend solutions that enhance efficiency and capability. Champion foundational best practices, including Git workflows and the proficient use of AI tools to accelerate development and problem-solving.

Qualifications

• Bachelor’s degree in a relevant field or equivalent professional experience (approximately 10 years in cloud/software engineering).
• Must possess and maintain required DoD 8140 certifications.
• Expert-level proficiency with Infrastructure as Code (IaC)
• Experience with Terraform or other similar languages
• Deep experience with container orchestration, specifically designing and managing Amazon EKS 
• Strong command of AWS IAM roles, policies, and security best practices.
• Solid understanding of cloud networking, Linux/Unix administration, and security principles.
• Proficiency with Git and modern GitOps workflows.
• Deep understanding of advanced networking concepts, DNS, gateways in a hybrid/multi-cloud context.
• Extensive expertise in advanced networking, including DNS management and gateway configuration, to support robust connectivity and integration across hybrid and multi-cloud environments.

Preferred Qualifications

• Proven experience designing, building, and maintaining automated CI/CD pipelines (e.g., Jenkins, GitLab CI, AWS CodePipeline).
• Understanding of common authentication mechanisms, OIDC, OAuth2, LDAP, SAML.
• Excellent problem-solving skills and the ability to thrive in a fast-paced, evolving environment.
• Experience with VMware vSphere in a hybrid cloud context.
• Experience with configuration management tools like Ansible.
• Familiarity with other public clouds (Azure, GCP). Experience contributing to open-source projects.
• Any of the following certification(s): AWS Certified DevOps Engineer - Professional AWS Certified Solutions Architect - Professional AWS Certified Security - Specialty Certified Kubernetes Administrator (CKA) HashiCorp Certified: Terraform Associate/Professional GIAC Cloud Security Automation (GCSA)

Clearance

• An active TS/SCI is required

Compensation: $170,000 - $200,000 base salary

As a Forward Deployed Engineer (FDE) at Virtru, you will play a pivotal role in driving continuous improvements in observability, performance, and reliability across our platform infrastructure. Your mission will be to enhance the operational excellence of our systems, making a significant impact on data privacy and security initiatives within the federal government sector.

Key Responsibilities:

• Deploy and configure Virtru's Data Security Platform (DSP) in customer and partner environments
• Lead technical integration projects with government agencies to ensure successful adoption of data protection solutions
• Collaborate with customer technical teams to customize and optimize DSP implementations for specific use cases
• Provide technical guidance and support during the deployment phase of customer engagements
• Work directly with government clients to troubleshoot integration challenges and ensure project success
• Document deployment processes and create technical guides for customer teams

Requirements:

• Active U.S. TS Clearance required, w/ CI poly preferred 
• Minimum of 5+ years of experience as a deployment engineer or solutions engineer, with expertise in customer-facing technical implementations and system integrations in government environments.
• Proficiency in DevSecOps practices, with experience in source code repositories and CI/CD pipeline solutions such as Team Foundation Server/Azure DevOps, Bitbucket, and GitHub.
• Expertise in Infrastructure as Code (IaC) and best practices for managing cloud infrastructure.
• Familiarity with containerization, Kubernetes (k8s) and orchestration tooling such as OpenShift, Rancher, and Helm.
• Ability to excel both independently and as part of a collaborative team.
• Effective communication and collaboration skills with the on-site customer and the support team.

Willingness to work onsite and travel to meet mission requirements. 

Application: 

If you are an experienced engineer with a passion for driving excellence in data privacy and security, we encourage you to apply for this exciting opportunity at Virtru.  Join us in our mission to redefine data protection standards and create a brighter future for digital privacy.

Virtruvian qualities that will set you up for success:

• Thinking outside of the box to respectfully challenge your teammates and managers in the pursuit of excellence
• Strong sense of urgency with an action-oriented mindset
• Able to collaborate and adapt to shifting priorities as business needs evolve
• Comfortable with asynchronous communication including slack, email, zoom, etc.

Perks & Benefits: 

At Virtru, we believe people do their best work when their wellbeing is put first. This is why we make your wellbeing our priority with a thoughtful and holistic program that encompasses Occupational, Mental, Social, Physical, and Environmental Wellness by offering benefits such as…

• A Flexible PTO policy — we strongly encourage you to take a minimum of 25 days off annually (in addition to 12 federal holidays) to ensure that you are getting the proper time needed to unplug and recharge.
• A $1,500 annual Learning & Development Stipend focused on providing you the resources to continually learn and professionally grow.
• Home-Office Stipend to help make your office space more comfortable and productive.
• Internal mobility options for those interested in exploring their skills in other areas of the business
• Frequent company-sponsored Team Celebrations that provide ample opportunities to connect with teammates and be social!
• Access to an Employee Assistance Program.
• Access to Headspace, a mental health app tailored to your specific needs.
• A high degree of flexibility — Have an appointment, errand, or family emergency to take care of? Hop to it! We give you the time and space to take care of you and your own first.

In addition to wellbeing, Virtru places a strong emphasis on diversity, equity, inclusion, and belonging. Our DE&I Council is dedicated to fostering an inclusive workplace and making the psychological safety of each and every one of our teammates a top priority. The Council also hosts a range of events throughout the year focused on the continual education of our teammates on social justice issues, current events, and marginalized cultures and communities. 

Additional perks include: 

• Competitive compensation
• Generous parental, medical, and bereavement policies
• Uncapped commissions for Sales roles
• 401K contribution and stock options
• Full medical, dental, and vision benefits
• New Hire Swag and IT Welcome boxes
• Structured semi-annual 360° performance reviews
• Transparency is at the core of how we operate and everything we do! 

There are plenty of opportunities to connect with the team in person throughout the year, both in and out of the office, whether they be team-specific or company-wide celebrations and events.

Virtru is committed to building an inclusive environment for people of all backgrounds and everyone is encouraged to apply. Virtru is an Equal Opportunity Employer and does not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law.

Your Role as a Senior Site Reliability Engineer: 

Our Cloud Operations team seeks a Senior Site Reliability Engineer who will play a critical role in ensuring the reliability, performance, and scalability of our SaaS applications.  The ideal candidate is a problem-solver and an automater.  In this Senior SRE role, you will be responsible for designing, implementing, and maintaining robust systems and processes to prevent outages, minimize downtime, optimize our infrastructure, and build scalable automation that allows us to be more efficient as the business grows.  You will work closely with our development, quality assurance, product, and IT teams to meet the goals of this role.  On-Call coverage will be required weekly.   

A Day in the Life of a Senior Site Reliability Engineer: 

For this role, you will play a key role in maintaining our cloud platform, which includes an assortment of Kubernetes, Microservices, MongoDB, RabbitMQ, MySQL, Windows Server VM Infrastructure, Orchestration Engines, CI/CD and Monitoring platforms.

• Executing projects that rollout new platform maintenance features, automate tasks, or other big picture changes to improve our customers’ experience on our Cloud Platform. 
• Deploying new features and releases of our software into Kubernetes via Helm, so strong experience in Kubernetes and Helm is a must. 
• Troubleshooting performance issues or errors thrown by the cloud platform or application, and either resolving the underlying cause, or forwarding your research to Engineering to address in the product.
• Mentoring others towards technical and procedural success and providing daily operational support to our DevOps team members
• Actioning Request Tickets from other teams in support of their needs to enable and prepare for upcoming releases. 
• Monitoring and maintaining our Platform’s, uptime, resiliency and performance, looking for improvement opportunities, and proactively taking action to solve any negative trends before they become issues. 
• Lead, Participate, or Execute within the incident management process when alerts fire, and quickly ascertain root cause, resolve the issue, and find new and creative solutions to prevent recurrence.
• Configure, Monitor, Research, and Evaluate workload performances both on Google Cloud Platform and Microsoft Azure Clouds. 
• Security and Compliance: Work closely with security teams to ensure adherence to security best practices and compliance standards.
• Collaborating with our Development and Quality Assurance teams to address issues in the product and platform, particularly around recurring problems.
• Documenting new or updating existing processes and procedures to share knowledge and improve on standardized approaches to solution. 

What You’ll Need: 

• Must have a passion for life-long learning.
• Must communicate well and adapt to working well with others across different countries and cultures. 
• Strong background in Containers, Kubernetes, Helm, Linux, Python coding, and some experience with Windows Server OS and MacOS are a must.
• Experience with Google Cloud Platform and Microsoft Azure required. 
• Expert-level troubleshooting experience and the ability to reason through a process workflow to identify a fault or odd behavior (i.e., spending time following log trails).
• Experience with administering MySQL & MongoDB preferred. 
• Experience with administering message brokering systems like RabbitMQ preferred. 
• Must be flexible on occasionally attending “off-hour” meetings (we’re a global team supporting a global customer base!).
• No travel required for this role.  

Nice to Haves: 

• Experience with Build pipeline tools and the Atlassian suite (JIRA, Confluence, Bitbucket/Git, Azure DevOps, Bamboo, Octopus). 
• Experience with monitoring and alerting platforms, especially StackDriver. 
• Experience with HashiCorp Terraform. 
• Experience with IIS

The Perks of Working for Appspace:

For all our US based team members, we offer a variety of benefits from competitive salaries, medical, dental and vision coverage, disability coverage, employer paid life insurance, mental health resources, 401(k) plan and a fully paid parental leave program.

Additional perks include:

• Generous PTO
• Flexible work schedules
• Remote work opportunities
• Paid company holidays
• Appspace Quiet Fridays (No non-essential internal meetings scheduled)
• A casual dress work environment

Dark Wolf Solutions is seeking a Senior DevSecOps Engineer to support the developing and sustaining of a cloud-based platform that enables cyber operations across the Department of Defense (DoD). The successful candidates will coordinate and integrate work across legacy platforms. The team provides support to enhance and develop new applications, analytics, and services for the customer and to modernize capabilities through an agile, evolving requirement identification and prioritization process. This position will call for on site support a few days a week in Tampa, FL. 

Required Qualifications:

• Bachelor’s degree in IT Security, Information Systems, or equivalent
• 8 years demonstrated experience providing technical guidance to other engineers on automation/build tools with 3 years of experience supporting platform architecture directly
• Previous experience developing software in an Agile environment
• Extensive knowledge of DevOps practices to include microservices architecture, CI/CD pipelines, cloud architecture, Platform as a Service (Kubernetes or PCF), and infrastructure as code
• Strong hands-on experience with Kubernetes, with a primary focus on Amazon EKS in production, multi-cluster, and secure environments
• Expertise in GitLab CI/CD, including pipeline design, runners, secure builds, artifact management, and promotion workflows
• Deep experience with AWS Cloud services, specifically within AWS GovCloud environments, including IAM, VPC, EC2, EKS, S3, RDS, CloudWatch, KMS, and Security Hub
• Designing architectures that meet FedRAMP, NIST 800-53, and DoD IL2/IL4/IL5 requirements
• Strong GitOps experience using Argo (ArgoCD. / Argo Workflows) for: 
  • Declarative infrastructure and application deployment
  • Multi-environment promotion (dev → test → prod)
  • Automated rollback, drift detection, and auditability 
•  Advanced understanding of secure containerized workloads, including:
  • Image scanning, SBOMs, and vulnerability management
  • Kubernetes RBAC, network policies, and secrets management
•  Experience implementing DevSecOps pipelines, integrating:
  • Static and dynamic security scanning
  • Compliance gates and automated control enforcement
• Proficiency with Infrastructure-as-Code (e.g., Terraform/OpenTofu, Ansible, Helm, Kustomize, or similar) for repeatable and compliant deployments
• Working knowledge of collaboration and workflow tools, including:
  • Jira for agile planning and work tracking
  • Confluence for documentation and knowledge management
  • Mattermost (or similar secure chat platforms) for operational coordination
• Experience operating in regulated or high-security environments, including:
  • Government, defense, or other compliance-driven organizations
• Knowledge of ICD 503 and RMF with previous experience getting Authorization to Operate (ATO) for an application or system
• Understanding of ATO, continuous monitoring, and audit support
• Strong troubleshooting and operational skills across Kubernetes, CI/CD, and AWS cloud infrastructure
• Ability to collaborate with developers, security teams, and program leadership to drive secure, reliable delivery at scale
• Ability to convey complex ideas through conversation, briefings, and writing with clear, concise language
• IASAE Level II (CASP, CISSP, CSSLP) certifications 
• AFMAN 17-1303 certification (Sec+, etc) 
• US Citizenship and ability to be clearable up to the Top Secret clearance with SCI eligibility

Desired Qualifications:

• Experience with Cloud-Based systems and AI/ML Systems, including ALEX 
• Previous experience working in a DoD software factory such as Kessel Run, Platform One, Kobayashi Maru, etc.
• Willingness to submit for a government security clearance
• Certification in cloud architecture with AWS, GCP, or Azure

This position is located in Tampa, FL. The estimated compensation range for this role is $160,000.00 - $180,000.00 commensurate on experience and technical skill set. 

We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories.

We are strictly looking for direct, full-time W2 employees. We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this role.
 
 In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

As a Senior MuleSoft Engineer, you will design and deliver API-led integration solutions on Anypoint Platform — directly with clients, from discovery through go-live. You'll drive architecture decisions, protect margin through scope discipline, and build the kind of trusted client relationships that turn one engagement into many.

What You'll Own

You will be the technical owner of your client engagements — not a resource assigned to a ticket queue. That means:

• Client Delivery Ownership: Lead integration programs end-to-end for external clients — from discovery and estimation through SOW shaping, stakeholder alignment, and delivery KPIs (on-time, on-budget, CSAT).
• Stakeholder Management (exec → dev): Navigate the full relationship stack. Translate architecture trade-offs to executives, earn trust with engineering teams, and keep both sides aligned throughout delivery.
• Scope Discipline: Anticipate risk early, communicate trade-offs clearly, and protect margin through change-order discipline — without damaging the relationship.
• Autonomous Execution: Own your calendar, your estimates, and your commitments. No one will chase you for updates. You surface risks before they surface you.

Key Responsibilities

Technical Delivery

• Lead technical design, implementation, and deployment of large-scale MuleSoft integration and API solutions (CloudHub 2.0, Runtime Fabric, Anypoint MQ, Flex Gateway, or on-prem).
• Develop and maintain DataWeave scripts, Mule flows, and CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins).
• Enforce architectural and security standards (RAML/OAS, OAuth2, JWT, TLS, encryption).
• Monitor and optimize integrations for performance, scalability, and maintainability.

Client-Facing Services Delivery

• Lead discovery sessions, shape estimates, and contribute to SOW development — you are the technical voice in the room with the client.
• Own delivery KPIs: on-time rate ≥90%, estimate variance ≤±15%, client satisfaction scores that earn repeat business.
• Proactively communicate status, risks, and decisions — updates go out without being asked.
• Build trusted relationships that make scope conversations easier, not harder.
• When scope creeps (and it will), you call it — with a path forward, not just a flag.

Leadership & Collaboration

• Provide coaching and technical guidance to engineers; lead code reviews and process improvements.
• Operate as a peer, not a manager — lift standards through quality of work and direct feedback.

Innovation & AI

• AI as Your Default Toolchain: You reach for your AI-enabled IDE, LLM-based assistants, and AI-powered static analysis before anything else — not as a shortcut, but because better tools produce better outcomes. You don't write code you can automate reviewing.
• Integration Workflows, Augmented: You actively prototype and deploy AI/LLM services inside integration solutions — summarization, document parsing, intelligent transformation, synthetic test data generation.
• Advance automation with AI-assisted code review and LLM-based development platforms to accelerate delivery and lift code quality across the team.

Ways of Working

• The best engineers here don't wait to be told what to do next. They already know. You set direction, track your own commitments, and communicate proactively — without a layer between you and the client.
• WIP stays at ≤2 concurrent workstreams. You know what's at risk before your teammates do.
• If you've always been three steps ahead of your own deadlines, you'll feel right at home.

Required Qualifications

• Consulting Services Experience: 3–5+ years delivering integration programs for external clients — leading discovery/estimation, shaping SOWs, managing stakeholders from exec to dev, and owning delivery KPIs. This is non-negotiable. Internal IT delivery experience does not substitute.
• Client-Facing Ownership: Proven track record of managing client relationships through the full engagement lifecycle — including difficult scope and change-order conversations that preserve both trust and margin.
• API & Microservices Architecture: Expert in designing, implementing, and maintaining distributed, scalable API-led solutions using MuleSoft and industry-standard patterns.
• MuleSoft Platform Mastery: Advanced hands-on with Anypoint Platform, including DataWeave 2.x, CloudHub 2.0, Runtime Fabric, Flex Gateway, and Anypoint MQ.
• Autonomous Execution: Demonstrated ability to self-govern in flat, PM-free consulting environments — independently scoping, prioritizing, and delivering without hand-holding. If you've only worked in highly structured orgs, be honest with yourself about this one.
• AI/LLM Tools & Automation: You don't just tolerate AI tools — you seek them out. Cursor, LLM-based assistants, AI-powered static analysis — these are in your daily rotation, not your LinkedIn bio.
• DevOps, CI/CD & Automation: Strong experience with CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins), containerization (Docker/Kubernetes), and cloud-native deployment strategies.
• Security & Integration Standards: Advanced knowledge of RAML/OAS, OAuth2, JWT, TLS, and encryption best practices.
• Programming Proficiency: Skilled in Java and Node.js, with the ability to refactor legacy codebases into clean, maintainable solutions.
• MuleSoft Certifications: MuleSoft Certified Developer – Level 1 required; Architect or Integration Professional certifications strongly preferred.

Preferred/Bonus

• Experience integrating Salesforce, AWS, or other SaaS/ERP platforms.
• Familiarity with event-driven architectures (Kafka, Pub/Sub).
• Hands-on experience or strong interest in AI/ML pipeline design or integration.

About Upshop: 

Upshop is the foremost provider of a SaaS platform designed to streamline forecasting, ordering, production, and inventory optimization processes for food retailers. Its unified platform simplifies and enhances associate tasks, promoting smarter and more interconnected operations across Fresh, Center, DSD, and eCommerce departments. With over 450+ retailers and 50,000+ stores relying on its mission-critical operations platform globally, customers have witnessed substantial enhancements in sales, shrinkage reduction, food safety, and sustainability throughout their stores.  

At Upshop, we believe that great businesses are built by great people. Our People function is at the heart of our company’s growth, ensuring we attract, develop, and retain A Players who drive our mission forward.  

Our Values:

• Extremely Accountable
• Customer Obsessed
• Always Innovating
• Demand Excellence
• Biased for Action

Data Engineering Manager

Role Overview

We are seeking an experienced Data Engineering Manager to lead the technical evolution of our Databricks Lakehouse. You will be responsible for the architecture, scaling, and reliability of our data products, ensuring that the platform provides high-quality, actionable data for retail and supply chain analytics. This is a leadership role that requires a balance of advanced systems design and hands-on operational rigor.

Key Responsibilities

🔹 Architecture & Platform Ownership

• Lakehouse Strategy: Own the end-to-end design and optimization of the Databricks Lakehouse architecture, leveraging Unity Catalog and Delta Lake for multi-tenant isolation.
• Scalable Ingestion: Drive multi-tenant ingestion strategies from Azure Table Storage, Cosmos DB, and APIs, focusing on watermark logic and idempotent pipelines.
• Framework Development: Lead the evolution of in-house PySpark-based ETL frameworks to support complex transformations and downstream consumption.

🔹 Operational Excellence & Data Observability

• Data Quality Validation: Implement comprehensive data validation frameworks and automated checks to ensure accuracy, completeness, and consistency across the Lakehouse.
• Observability & Monitoring: Drive the strategy for end-to-end data observability, using monitoring and alerting to proactively identify pipeline drifts or failures before they impact stakeholders.
• FinOps & Performance: Improve cost transparency through DBU tracking and compute profiling (Serverless vs. Classic); drive performance tuning via clustering and partitioning strategies.

🔹 DevOps & Technical Governance

• Deployment Integrity: Oversee CI/CD pipelines and Databricks Asset Bundles (DABs) to maintain parity between UAT and Production environments.
• Governance Standards: Implement version control, rollback strategies, and deployment governance to ensure a stable and auditable production environment.

🔹 Cross-Functional Leadership

• Strategic Partner: Partner with BI, Data Science, and Product teams to bridge business requirements into scalable, production-grade data solutions.
• Team Growth: Mentor and lead a distributed team of engineers, focusing on high-velocity delivery and technical excellence.
• Tenant Logic: Support customer onboarding by designing tenant-specific transformation logic that scales without increasing architectural complexity.

Qualifications

• 8+ years in Data Engineering; 3+ years in a leadership/management role.
• Expert in Workflows, Unity Catalog, and Delta Lake.
• Deep proficiency in PySpark, SQL, and Azure Data ecosystem (Storage, Cosmos DB).
• Proven experience managing multi-tenant or enterprise-scale platforms.
• Strong background in CI/CD, Infrastructure-as-Code, and Data Modeling.

Preferred Skills

• Experience with retail or supply chain data forecasting.
• Expertise in optimizing serverless compute environments.
• Experience maintaining production SLAs for customer-facing data dependencies.

Dark Wolf is looking for summer interns to join us at our offices in Herndon, VA, Colorado Springs, CO, Omaha, NE or Tampa, FL. Outside of the office, you’ll join a community of interns with access to local networking events, professional development workshops, and the vibrant culture of Dark Wolf, spanning multiple areas. Software Development, Google Cloud Delivery, Data&AI, Cybersecurity and Mission Enablement.

Duration: June 2026 – August 2026

Type: Full-Time Internship (Paid)

Software Delivery and Cloud Internship: 

As an intern in our NoVA technology hub, you will work at the intersection of modern software delivery and emerging intelligence. This role is designed for students who are passionate about building scalable applications, leveraging cloud infrastructure, and implementing data-driven AI solutions. You won't just be shadowing; you will be an active member of an Agile squad contributing to production-level code.

Key Responsibilities

• Software Development: Design, develop, and test features using languages such as Python, Java, or Node.js

• Cloud & Delivery: Assist in deploying applications to cloud environments (AWS, Azure, or GCP) and managing CI/CD pipelines to automate software delivery.

• Data Engineering: Build and optimize data pipelines to ensure high-quality data is available for analysis and model training.

• AI & Machine Learning: Support the integration of Generative AI and LLMs into existing workflows, performing prompt engineering and model fine-tuning.

• Agile Collaboration: Participate in daily stand-ups, sprint planning, and retrospectives to experience the full Software Development Life Cycle (SDLC).

Required Skills & Qualifications

• Current Enrollment: Pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Computer Engineering, or a related technical field at the University of Florida.

• Technical Proficiency: Foundational knowledge in at least one major programming language (Python preferred for AI/Data tracks).

• Problem Solving: Strong analytical skills and a "Go Gator" attitude toward tackling complex technical challenges.

• Communication: Ability to clearly communicate technical concepts to both technical and non-technical team members.

Preferred Experience

• Familiarity with containerization tools like Docker or Kubernetes.

• Knowledge of SQL and NoSQL databases.

• Exposure to AI frameworks such as PyTorch, TensorFlow, or LangChain.

• Previous project work involving cloud-native architecture.

Cybersecurity Academy Internship: 

Are you ready to go beyond the textbook ?

The Dark Wolf Cyber Academy (DWCA) internship is an immersive program designed to turn aspiring students into cybersecurity professionals. Unlike standard internships, we challenge you to navigate the complexities of cybersecurity through three critical lenses: Risk Management, Penetration Testing, and Cyber Engineering. This internship is built for people who want to grow fast.

The DWCA Internship is designed to be cyber intensive where you won’t just talk about security—you’ll build it. This program is structured into dedicated 2-3 week blocks where you work alongside professionals and are exposed to real-world tools and frameworks. From breaking into systems to building resilient cloud architectures, you will gain hands-on experience that bridges the gap between theory and implementation. This internship is designed to help you figure out your path—and give you experience to back it up.

Professional Sprints:

• Pentesting & Offensive Security: Adopt an adversarial perspective to identify and exploit critical vulnerabilities.
• Cyber Engineering: Move beyond policy to practical application by learning to architect and secure cloud environments.
• Risk Management & Compliance: Familiarize yourself with the components of authorization packages through hands-on development activities.
• AI Education & Emerging Tech: Explore the cutting edge of security by analyzing the impact of emerging technologies on modern cyber engineering.

Why DWCA?

• Real-World Impact: Work on a simulation that mirrors industry challenges
• Mentorship: Learn directly from professionals who serve as your dedicated day-to-day coaches
• Career Launchpad: Gain the practical, employable skills that prepare you to stand out in a competitive market

Desired Majors

• Cybersecurity
• Information Security
• Computer Science
• Information Technology
• Information Systems

Desired Skillsets

• Willingness to learn and apply knowledge
• Comfortable communicating and collaborating with teammates and leadership
• Strong problem-solving and analytical skills with attention to detail
• Basic understanding of how cybersecurity protects systems and data (threats, risks, and why security matters)

Google Cloud Delivery Internship: 

Help us build and extend our Secure Cloud Landing Zone (SCLZ) codebase which automates the entire process of fielding an authorized cloud solution from cloud org -> app. Our SCLZ allows DoD & National Security customers to scale their missions securely and efficiently using our IL5 and FedRAMP High P-ATO’d landing zone architecture which provides IAM Best Practices, Tenant Isolation, Shared Services, and monitoring through Infrastructure-as-Code (IAC). In this internship you will work across the core SCLZ codebase and build cloud-native solutions running on top of the SCLZ within Google Cloud in support of Defense and National Security mission use cases.

Skillsets: 

Computer Science, Computer Engineering Majors

• Application Development
• Cloud Infrastructure Engineering
• Developing Zero Trust Cloud Native Apps/Solutions on Google Cloud

Cybersecurity

• Cloud GRC
• Cloud Native Policy as Code
• SecOps

We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

Barbaricum is seeking an Identity Governance and Administration (IGA) Engineer to support identity lifecycle management within a USSOCOM Zero Trust program. This role will lead the deployment and administration of SailPoint identity governance platforms across classified and unclassified environments.

The selected candidate will implement identity lifecycle automation processes and ensure access to sensitive data is governed by dynamic, attribute-driven policies that align with Zero Trust principles.

Responsibilities:

• Deploy and administer SailPoint IdentityNow or IdentityIQ across enterprise environments.
  • Design and automate identity lifecycle processes including Joiner, Mover, and Leaver (JML) workflows.
  • Define and manage identity attribute schemas supporting Attribute-Based Access Control (ABAC) models.
  • Implement access certification campaigns and governance processes to maintain compliance with audit requirements.
  • Develop and maintain role-based and attribute-based access models within SailPoint.
  • Integrate SailPoint with Active Directory, Azure Active Directory (Entra ID), and enterprise applications.
  • Support synchronization of identity data across classified and unclassified networks.

Required Qualifications:

• Active DoD Top Secret clearance with SCI eligibility.
  • Bachelor’s or Master’s degree in Cybersecurity, Information Technology, Computer Science, or related field.
  • 3–10 years of relevant experience (Journeyman) or 10+ years of experience (Senior).
  • Hands-on experience implementing and administering SailPoint identity governance solutions.
  • Strong knowledge of Active Directory, LDAP, and Azure Active Directory structures and management.
  • Experience implementing Role-Based Access Control (RBAC), Separation of Duties (SoD), and access certification processes.

Preferred Qualifications:

• Experience implementing Attribute-Based Access Control (ABAC) strategies.
  • Familiarity with DoD Identity, Credential, and Access Management (ICAM) architectures.
  • Experience integrating identity systems using REST, SCIM, or SOAP APIs.
  • Prior experience supporting USSOCOM or other DoD organizations.

Certifications:

• Required: CompTIA Security+ CE (DoD 8570 IAT Level II).
  • Preferred: SailPoint Certified IdentityNow Engineer or SailPoint Certified IdentityIQ Engineer.
  • Preferred: Certified Identity and Access Manager (CIAM) or Certified Information Systems Auditor (CISA).