Commissioning Engineer
Consulting engineer job in Herndon, VA
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
AWS is looking for a dynamic Commissioning Engineer. It is the responsibility of all Amazonians to have alignment with our leadership principles and demonstrate these at the highest level.
The responsibilities of the ACx Commissioning Engineer (CxE) include, but are not limited to, oversight and coordination of multi-discipline division of work related to design review and commissioning of Amazon critical infrastructure for new construction and special projects. The CxE is responsible for supporting vendors, contractors, and other teams involved in the construction and commissioning of various systems including medium and low voltage power systems, Generators, UPS, HVAC, Chilled Water, BMS, and EPMS systems. They shall provide multi-discipline input into the scheduling, test script development, designing, and planning of projects. In addition, the CxE will be required to develop and review electrical and mechanical component and integrated systems testing along with other commissioning documents to ensure they are compliant with the basis of design, specification, industry standards and sequence of operations. It is the CxE responsibility to ensure that all commissioning procedures follow the appropriate safety practices and policies. CxE is responsible for auditing commissioning activities continuously to ensure compliance with environmental, quality, and safety requirements. The CxE proactively communicates with the ACx Regional Manager and the ACx team to ensure that the applicable test documents are created and executed in accordance with all commissioning requirements. This individual will be responsible for comprehensive weekly reporting of status of all ongoing projects, lessons learned, and program improvements to continually improve the quality of our program. This position will include coverage of multiple inflight projects and tight schedules.
Key job responsibilities
Physical Requirements
• Walk job sites in uneven terrain
• Work at heights and from ladders
• Regularly walk, use hands and fingers, reach with hands and arms, stoop, kneel, crouch or crawl
• Lift and/or move up to 49 pounds; and participate in group lifts for 50 pounds or more
• Carry objects weighing up to 49 pounds for short distances
• Work shifts longer than eight hours in duration with potential for night and weekends
• Perform physical tasks throughout the day without becoming overly tired
• Ability to manipulate small wires and objects easily
• Work in a noisy environment
• Work in environments that are colder or hotter than a normal office environment
Additional Job Requirements
• Ability to relocate to Northern Virginia / Greater DC area
• Ability and willingness to travel domestic and internationally for up to 50% of the year. Typical travel is 20%.
• Required to provide personal transportation for meetings and job visits away from the office; reimbursed.
About the team
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
#DCCD_AMER
BASIC QUALIFICATIONS• 5+ years of engineering, installation, or startup/commissioning of electrical and mechanical systems
• Bachelor's degree in Mechanical/Electrical Engineering or 5 years of relevant discipline work experience
• High technical competency in either mechanical or electrical or control systems utilized in critical infrastructures, with the capability to learn and be trained in the others
• Understand the design concept and intent by reviewing mechanical or electrical design documentation, including drawings, specifications, vendor submittals and sequences of operations and provide feedback on the same in accordance with Amazon standards for basis of design
• Develop but majorly review commissioning documentation such as test plans, scripts and reports developed by vendors to ensure accuracy in accordance with the design requirements
PREFERRED QUALIFICATIONS• Advanced knowledge Microsoft Office Suite - Word, Excel, Outlook required; advanced knowledge of SharePoint (or similar) preferred
• Strong communication skills, detail oriented, highly organized, and able to work in high stress environments to maintain calm and respectful interaction with multiple teams
• Advance knowledge of mechanical, electrical, and controls systems for critical infrastructures
• Ability to read and edit construction documents (design drawings, control diagrams, specifications, etc.)
• Experience developing and executing test procedures for mechanical or electrical systems/components based on design intent and approved equipment submittals
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $105,100/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.
Senior AI/ML Engineer (TS/SCI)
Consulting engineer job in Herndon, VA
Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.
To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee.
Note on Cleared Roles: If this position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status.
Export Control/ITAR:
Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).
Please review the job details below.
We're seeking a Senior AI/ML Solutions Engineer to support mission-driven users working on complex national security challenges. In this agile environment, you'll be part of a small, multi-disciplinary team applying AI/ML and data science to real-world problems and apply them into operations. This role offers direct collaboration with end users and technologists to ensure solutions are impactful, scalable, and mission-aligned.
Responsibilities:
Design, develop, integrate and deploy AI-driven solutions to extract insights from complex, high-volume datasets offering expertise in AI/ML, Large Language Models (LLM), Generative AL, and/or Natural Language Processing (NLP)
Apply statistical and deep learning techniques to support predictive modeling, classification, natural language processing, and pattern recognition
Collaborate with analysts, engineers, and mission partners to understand requirements and translate them into robust, data-driven solutions
Communicate results and technical concepts through effective visualizations, dashboards, and clear reporting to both technical and non-technical audiences
Minimum Qualifications:
U.S. citizen with active TS/SCI clearance and polygraph; willing to work onsite 80% or as mission needs dictate.
Bachelor's or advanced degree (or equivalent experience) in AI/ML, Data Science, Math, or related technical field.
8+ years of experience in data science, AI/ML, large language models (LLMs), and emerging technologies, including solution architecture, model development, and deployment in complex environments.
Proficient in Python, R, and/or Java for machine learning, data processing, and algorithm development; experienced in building robust, scalable solutions for operational deployment.
Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn) and tools for model development and operationalization (Jupyter, MLflow, AWS SageMaker) in production environments.
Experienced working in Linux-based and hybrid cloud/on-prem infrastructures, deploying and maintaining AI/ML solutions in secure, production-grade environments; strong collaboration and communication skills with distributed teams and stakeholders.
Preferred Qualifications:
Understanding of commercial and custom AI ML methods, statistical and analytical concepts such as uncertainty modeling, spatial analytics, model evaluation, correlation analysis, and data visualization.
Adaptable, solution-oriented mindset with the ability to work independently in fast-paced, dynamic environments
Experience working in virtualized Linux environments on secure government infrastructure
Background in military or intelligence analysis, or familiarity with IC PED systems, is a strong plus
Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate's starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range.
The base pay for this position within California, Colorado, Hawaii, New Jersey, the Washington, DC metropolitan area, and for all other states is:
$130,000.00 - $200,000.00
Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: ******************************
The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.
The date of posting can be found on Vantor's Career page at the top of each job posting.
To apply, submit your application via Vantor's Career page.
EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.
Missile Conceptual Design Engineer
Consulting engineer job in Laurel, MD
Are you looking for exciting opportunities to develop innovative solutions to redefine the design, analysis, and optimization of the next generation of missile systems in air and missile defense?
Would you like to work with a group of highly educated and skilled Engineers and Scientists?
Do you have a passion for finding solutions to current and emerging needs of the Department of Defense (DoD) and Intelligence Community (IC)?
If so, then we're looking for someone like you to join the Multidisciplinary Design Optimization team as a missile system conceptual design engineer at APL.
As a Missile Conceptual Design Engineer, you will:
Collaborate on the development of groundbreaking multidisciplinary design optimization (MDO/MDAO) tools for the conceptual design of aerospace vehicles with a focus on missiles.
Perform a variety of analysis tasks related to vehicle design, including system sizing, vehicle configuration and design, flight/mission performance, and trajectory optimization.
Conduct vehicle design optimization, trade, and sensitivity studies to derive system level requirements, conduct feasibility studies and performance predictions, and identify promising technology investments.
Contribute to concept development of next generation missile/weapon systems, including system-of-systems considerations.
Develop and apply state of the art physics-based and empirical models and simulations for conceptual design.
Help guide technical programs to successful outcomes with clear communication to APL partners and sponsors.
Note: This job summary and listing of duties is for the purpose of describing the position and its essential functions at time of hire and may change over time.
Qualifications
You meet our minimum qualifications for the job if you have ...
A B.S. degree in Aerospace or Mechanical Engineering, or related subject area
Minimum of 5+ years of related professional experience, including conceptual vehicle design
Focused experience in at least one system or sub-system level discipline (e.g. airframe design, solid/liquid propulsion, aerodynamics, GNC, seekers, trajectory optimization, etc.) and familiarity with aerospace vehicles.
Experience with developing MDO analysis tools/frameworks
Experience with engineering models and simulations
Familiarity with MATLAB programming techniques to solve engineering problems
An understanding of aerospace vehicle flight dynamics, propulsion systems, vehicle size/weight estimation techniques
The ability to work both independently and as part of a team, with a history of significant contributions to multidisciplinary teams solving engineering design problems
Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a TS/SCI level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.
You 'll go above and beyond our minimum requirements if you have ...
An M.S. in Aerospace or Mechanical Engineering, with research experience
An understanding of vehicle conceptual design
Experience in MDO/MDAO techniques and software
Experience with numerical optimization algorithms and problem formulation
#LI-KW1-LW
About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at ******************************
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accommodations@jhuapl.edu.
The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$85,000 Annually
Maximum Rate
$180,000 Annually
Reverse Engineer and Offensive Cyber Developer
Consulting engineer job in Laurel, MD
Are you passionate about reverse engineering low-level software and/or hardware and developing sophisticated cyber tools?
Do you love building cyber capabilities that move from concept to operational deployment?
If so, we want you to join our group of offensive cyber experts! We seek experienced reverse engineers and developers who will build inventive cyber capabilities leveraging novel reverse engineering and exploitation techniques. We work in a dynamic, mission-driven environment where our efforts have real-world impact. Collaboration is at the heart of our culture, and we value multidisciplinary perspectives, curiosity, and continuous learning. We encourage our staff to explore new approaches, share knowledge, and deepen their expertise as they take on some of the nation's toughest challenges.
As a member of our team, you will...
Reverse engineer the software, firmware, and hardware of target systems for potential vulnerabilities
Work in teams to modify device firmware and software to perform additional effects or to communicate in alternative ways
Operationalize proof-of-concept code by thoroughly testing, documenting, and integrating with sponsor systems
Propose promising ideas for internal and external funding opportunities
Share and enhance knowledge by clearly articulating ideas through papers and presentations to government decision makers, team members, and senior management
Qualifications
You meet our minimum qualifications for the job if you...
Possess a Bachelor's in Computer Science, Electrical Engineering, Computer Engineering, or other related degree
Have at least 2 years of proven experience reverse engineering or developing offensive cyber capabilities
Understand operating system fundamentals and internals, exploitation techniques, and mitigations
Have development experience in low-level languages such as assembly or C/C++
Have used software or hardware debuggers to debug complex problems
Are an outstanding communicator in both written and verbal forms
Are able to acquire a Secret level security clearance by your start date and can ultimately acquire a TS/SCI level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.
You'll go above and beyond our minimum requirements if you...
Have a Master's or Ph.D. in Computer Science, Electrical Engineering, Computer Engineering, or related field
Have 8+ years of experience reverse engineering or developing offensive cyber capabilities
Enjoy prototyping hardware and systems with embedded microcontrollers
Have a solid understanding of radiofrequency (RF) concepts
Hold an active TS/SCI security clearance
About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at ******************************
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accommodations@jhuapl.edu.
The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$100,000 Annually
Maximum Rate
$227,500 Annually
Commissioning Engineer, Commissioning Engineering
Consulting engineer job in Herndon, VA
Are you experienced in Critical Infrastructure Commissioning and looking for a fast paced environment to work in? As a Data Center Commissioning Engineer (CxE), you will be part of highly creative, efficient team tasked with tackling fascinating and challenging problems building and supporting the operations of Amazon owned data centers. The Amazon Commissioning team (ACx) understands, evaluates, defines and manages the expectations of construction quality in accordance to engineering designs to meet the customer requirements. The CxE is responsible for supporting vendors, contractors, and other teams involved in the construction and commissioning of various systems such as:
Medium and low voltage power systems Generators
UPS
HVAC (Air Handlers / Exhaust Fans / VFD)
Chilled Water Systems
Building Management systems (BMS)
Electrical Power Monitoring Systems (EPMS)
Testing and balancing
Pumps and Hydronic systems
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Key job responsibilities
As the Commissioning Engineer (CxE), you will provide testing and validation oversight of AWS data center electrical and mechanical infrastructure. This includes, but not limited to, review of design documents and equipment submittals, leading Factory Witness Testing (FWT), and managing third-party commissioning vendors in the performance of onsite pre-functional, functional, and integrated systems testing. You will own your projects' successes where you Deep Dived to resolve technical issues and had Bias for Action to address schedule impacts and coordination demands onsite. You will be sharing your lessons learned leading towards team growth and program improvements.
You will get the opportunity to provide multi-discipline input into the scheduling, test script development, designing, and planning of projects. During commissioning, you will be continuously auditing Cx vendors' activities to ensure compliance with environmental, quality, and safety requirements. Following the AWS project reporting format, you will be responsible for regular reporting of commissioning progress and metrics of assigned project to your Regional Commissioning Manager. You will have the opportunity to lead several projects simultaneously to achieve key milestones and deliver data center capacity, while managing project budget as approved by Finance.
A day in the life
On a typical project, the CxE works across AWS engineering, capacity delivery, operations, and contractor teams to coordinate site activities, prioritize tasks, and ensure each issue has clear path to resolution. The CxE manages the project commissioning vendor whose primary scope is to execute functional tests, identify issues, determine criticality, propose solutions, and document their findings. If project turnover is at risk, the CxE escalates to the appropriate stakeholders. Upon project completion, the CxE will communicate lessons learned to help peers on similar projects in flight and participate in initiatives that drive improvement to the commissioning program.
About the team
The AWS Data Center Commissioning Team (ACx) is a wholly independent business within the DCGS organization. This team of veteran professional Electrical Engineers, Mechanical Engineers, Controls Engineers, Project Managers, and Operators is uniquely positioned to provide detailed engineering and operational review and testing of equipment designs, operational functionality and construction practices. The team is focused on ensuring the rapid delivery of a quality product while maintaining full transparency, recording metrics of any and every defect discovered during commissioning.
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
#DCCD_AMER
BASIC QUALIFICATIONS- 3+ years of engineering, installation, or startup/commissioning of electrical and mechanical systems experience
- Bachelor's degree in Mechanical/Electrical Engineering or 3 years of relevant discipline work experience
- 1+ years of field level project support/execution
PREFERRED QUALIFICATIONS- Advanced knowledge Microsoft Office Suite - Word, Excel, Outlook required; advanced knowledge of project management tools, example Procore, Microsoft Projects, Primavera, Sharepoint
- Effective communication skills, detail oriented, highly organized, and able to work in high stress environments to maintain calm and respectful interaction with multiple teams
- Advanced knowledge of mechanical, electrical, and controls systems for critical infrastructures
- Ability to read and edit construction documents (design drawings, control diagrams, specifications, etc.)
- Experience developing and executing test procedures for mechanical or electrical systems/components based on design intent and approved equipment submittals
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $86,900/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.
Remote Role - Principal Predictive Analytics Engineer
Remote consulting engineer job
GlobalSource IT is a niche IT recruiting company. Enough about us, the purpose of this job posting is to tell you about the opportunity at our client. They are a well known food producer and I'm willing to bet you have likely had their products :). They are looking to fill a key senior role to capture and utilize data from their production facilities. This person will revolutionize the way this major employer delivers products to their customers based on this transformation. Please see below for additional details and contact Dave with any questions at ************************. Thanks for reviewing!
Job Summary
This is a role that combines advanced machine learning research with strategic business analysis, bridging technical innovation and business insight and enabling scalable AI applications and actionable analytics. Develops intelligent solutions that enhance decision-making and operational efficiency across the enterprise. Enables smarter services and informed decisions for our business community. Helps design, deploy, and monitor data pipelines, predictive models, dashboards, and internal AI tools with emphasis on data analytics and machine learning. Collaborates with departments to unlock the value of unstructured data while ensuring transparency, ethics, and equity in AI use. Responsible for strategic and tactical areas, focusing on the high-level design and vision of the predictive analytics ecosystem while building and maintaining the infrastructure and systems that support predictive models in production.
Key Responsibilities
1. Designs and implements machine learning models using R, Python, TensorFlow, and Azure ML.
2. Conducts research on and supports experimentation with AI methodologies including NLP, computer vision, and generative models.
3. Analyzes complex datasets using SQL, Power BI, and Excel to uncover trends and opportunities.
4. Collaborates to define requirements and translate them into technical solutions.
5. Documents methodologies, findings, and recommendations for technical and non-technical audiences.
6. Gathers data from internal and external sources to store in the business data lake.
7. Analyzes structured and unstructured data to uncover insights that support operational and strategic goals, including supporting use cases related to IoT devices and measuring points from the production lines.
8. Operationalizes predictive models and integrates them into the company's operational systems.
9. Designs and maintains robust, automated data pipelines (ETL/ELT) that collect, transform, and move data to be used for predictions.
10. Implements best practices for the full lifecycle of machine learning models, including deployment, monitoring, and retraining.
11. Manages infrastructure of cloud and big data technologies (e.g., Spark, Hadoop) to ensure predictive systems are scalable and efficient.
12. Ensures the integrity and quality of the data that feeds into the predictive models.
13. Develops dashboards and self-service analytics using tools such as SAP Analytics Cloud (SAC), Power BI, and other supported platforms.
14. Partners with departments to interpret data and tell compelling, actionable stories. Builds future predictions based on current and past data.
15. Supports data governance practices, including metadata standards, data quality monitoring, and data lifecycle management.
16. Works cross-functionally and across all IT areas.
Minimum Qualifications (Educations & Experience)
1. Bachelor's degree in related field (i.e., data science, Business Analytics, Computer Science, Statistics, etc.) or equivalent
2. 8+ years of relevant experience or the knowledge, skills, and abilities to succeed in the role
Essential Knowledge, Skills, and Abilities
• Ample experience in data analytics, AI modeling, machine learning, business analysis, and business intelligence tools
• Deep business acumen, gathering and analyzing data from multiple internal and external sources, as well as from various business areas
• Strong foundation in statistics, optimization, and data modeling
• Proficiency in R, Python, SQL, and BI tools (Power BI, Tableau)
• Experience with cloud platforms (Azure, AWS, GCP)
• Excellent communication and client/partner engagement skills
• Ability to manage multiple projects and prioritize effectively
• Familiarity with Agile or Scrum methodologies
Preferred Knowledge, Skills, and Abilities
• Master's degree in data science, Business Analytics, Computer Science, Statistics, or related field
• Experience with LLMs, reinforcement learning, or enterprise AI applications
• Experience with SAP, Azure Data Factory, or enterprise data platforms
Senior AI Engineer
Remote consulting engineer job
AI Engineer
About Neudesic
Passion for technology drives us, but it's innovation that defines us
.
From design to development and support to management, Neudesic offers decades of experience, proven frameworks and a disciplined approach to quickly deliver reliable, quality solutions that help our customers go to market faster.
Neudesic, an IBM Company, is a trusted technology partner in business innovation, delivering impactful business results to clients through digital modernization and evolution. We specialize in providing services and solutions that drive digital transformation, leveraging our expertise in cloud, data, and AI technologies.
What sets us apart from the rest, is an amazing collection of people who live and lead with our core values. We believe that everyone should be Passionate about what they do, disciplined to the core, innovative by nature, committed to a Team and conduct themselves with Integrity. If these attributes mean something to you - we'd like to hear from you.
Position Overview:
We are seeking a Mid-Level Modern AI Engineer to join our growing App Innovation practice. This role involves designing, developing, and deploying AI solutions using Microsoft Azure technologies, with a focus on generative AI, agentic AI, large language models (LLMs), and Retrieval-Augmented Generation (RAG) architectures. The ideal candidate will have a strong foundation in AI/ML, experience with Azure AI services, and the ability to work collaboratively in a consulting environment.
Key Responsibilities:
AI Solution Development & Deployment:
Design and implement AI models and algorithms using Azure AI services, including Azure Machine Learning, Cognitive Services, and Azure OpenAI.
Develop and deploy machine learning models, particularly focusing on NLP and LLMs, utilizing frameworks such as LangChain or Semantic Kernel.
Implement RAG architectures using Azure AI Search to enhance the performance and accuracy of generative AI applications.
Project Delivery & Client Engagement:
Lead and contribute to the delivery of AI projects, ensuring solutions are scalable, secure, and aligned with client objectives.
Work in both project-based and staff augmentation roles, adapting to various client environments and requirements.
Provide technical expertise and guidance to clients, ensuring successful adoption and integration of AI solutions.
Model Validation & Quality Assurance:
Conduct thorough testing and validation of AI models to ensure accuracy, reliability, and performance.
Optimize and fine-tune models, addressing issues related to data quality, bias, and fairness.
Stay current with industry trends and best practices in AI technology, incorporating them into solution development.
Preferred Consulting Experience:
Collaborate with sales and delivery teams to design AI solutions that meet client needs.
Develop estimates and proposals for AI projects, articulating the value and feasibility of proposed solutions.
Conduct technical presentations and demonstrations to clients and stakeholders.
Education & Experience:
Bachelor's Degree in Computer Science, Data Science or similar (relevant work experience is acceptable)
3+ years of experience in AI/ML development, with a focus on OpenAI Services, NLP and LLMs.
Experience in a consulting environment, engaging with clients and delivering tailored solutions.
Technical Skills:
Proficiency in programming languages such as Python or C#.
Experience with Azure AI services, including Azure Machine Learning, Cognitive Services, and Azure OpenAI.
Familiarity with RAG architectures and tools like LangChain, Semantic Kernel, or LlamaIndex.
Model selection, validation, and workload optimization.
Knowledge of data processing and pipeline development using Azure Data Factory or similar tools.
Understanding of MLOps practices and tools for model lifecycle management.
Soft Skills:
Strong analytical and problem-solving abilities.
Excellent communication and collaboration skills.
Ability to work independently and as part of a team in a dynamic, fast-paced environment.
Preferred Qualifications:
Microsoft Certified: Azure AI Engineer Associate or similar certifications.
Experience with containerization and deployment tools such as Docker and Kubernetes.
Familiarity with responsible AI principles and practices.
Why Join Neudesic?
Opportunity to work on cutting-edge AI projects across various industries.
Collaborative and inclusive work environment that values innovation and continuous learning.
Access to professional development resources and training programs.
Competitive compensation and benefits package.
For Colorado, the expected salary range for this position is between $100,000 and $165,000. The salary range may be different if the successful employee is in a different state. This position is also eligible for performance bonuses. The actual compensation will be determined based on experience and other factors permitted by law.
Accommodations currently remain in effect for Neudesic employees to work remotely, provided that remote work is consistent with the work patterns and requirements of their team's management and client obligations. Subject to business needs, employees may be required to perform work or attend meetings on-site at a client or Neudesic location.
Please be aware of phishing scams involving fraudulent career recruiting and fictitious job postings; visit our Phishing Scams page to learn more.
Neudesic is an Equal Employment Opportunity Employer
Neudesic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws
Neudesic is an IBM subsidiary which has been acquired by IBM and will be integrated into the IBM organization. Neudesic will be the hiring entity. By proceeding with this application, you understand that Neudesic will share your personal information with other IBM companies involved in your recruitment process, wherever these are located. More Information on how IBM protects your personal information, including the safeguards in case of cross-border data transfer, are available here: ***************************************************
Lead Python Engineer
Remote consulting engineer job
Could you be a good fit?
We are looking for the best, highly skilled Lead Python Engineer to join the team of our innovative client. This fully remote role blends hands-on Python development, cloud platform expertise, front-end modernization, and leadership in establishing best practices and processes.
Benefits:
• Fully remote
• Healthcare Medical, Dental, and Vision Insurance
• 401k
What will your day look like? As a Lead Python Engineer, you will:
• Evaluate, refactor, and rewrite the existing Python back-end as needed
• Plan and execute front-end modernization using React
• Introduce robust cloud infrastructure and monitoring solutions (e.g., GCP, Datadog, PagerDuty)
• Implement development best practices, including CI/CD, automated deployments, and code quality standards
• Support proof-of-concept work for new customers while ensuring production readiness
• Mentor and delegate work to junior developers when needed
• Make architectural decisions to ensure scalability, reliability, and software stability
• Stay up to date on AI-assisted coding tools (Copilot, Replit, Claude, etc.) to improve productivity
You will be a good fit for this Lead Python Engineer role if you have:
• Bachelor's degree or equivalent experience in Computer Science, Software Engineering, or related field
• 5+ years of experience with Python back-end development
• Experience with front-end frameworks, preferably React
• Familiarity with cloud platforms (GCP preferred) and infrastructure setup/monitoring
• Strong software engineering practices, including CI/CD, automated testing, and deployment pipelines
• Optional: prior experience managing or mentoring developers
Nice-to-Haves:
• Exposure to AI/ML workflows or data science applications
• Experience with AI-assisted coding tools
• Familiarity with mobile application development
About Market Street Talent
We are a specialized staffing and consulting firm focused on IT and technology positions. Our deep industry knowledge allows us to match exceptional candidates with organizations where they can thrive and make an immediate impact.
Our Vision: To promote and foster the growth of information technology (IT) in our world-one candidate, one client, one community at a time.
Our Goal: To guide clients and candidates through the placement process and build long-term, successful relationships.
Our Culture: At MST, we value excellence, respect, and empathy in everything we do.
Sound like you? Ready for your next challenging IT opportunity? Click “Apply Now”!
Sr. AI Engineer - Contract - Remote - 6 months+
Remote consulting engineer job
Resource 1 is seeking a Senior AI Engineer for a long-term, remote contract with our client in the Healthcare industry. Initial contract duration is 6 months, with expected extensions. This can be done 100% remotely from anywhere in the US. Selected individual will be brought in to help develop and deliver next-generation AI solutions across the healthcare enterprise. This role is hands-on and ideal for an engineer experienced in building GenAI and multi-agent systems using modern AI frameworks and Google Cloud Platform (GCP). Will collaborate closely with other engineers to design, build, test, and optimize AI capabilities within a scalable production environment.
Key Responsibilities:
Develop and enhance enterprise-scale multi-agent systems leveraging LLMs and autonomous agent frameworks, using tools such as Google ADK, Agentspace, MCP, RAG, and A2A orchestration.
Contribute to the design and implementation of RAG pipelines using BigQuery and Vertex AI for knowledge grounding and factual response accuracy.
Implement and tune agent reasoning workflows including orchestration, grounding, decision-making, and multi-step reasoning.
Build and support distributed training workflows, online inference systems, and low-latency serving architectures leveraging Google Cloud services.
Develop secure and scalable AI components including reusable orchestration layers, connectors, and observability hooks.
Participate in developing agent governance and compliance frameworks aligned with enterprise standards.
Translate business features and requirements into technical implementation tasks and contribute to solution design discussions.
Support deployment pipelines, operational monitoring, troubleshooting, and optimization of production AI systems.
Required Qualifications:
Degree in Computer Science, AI/ML, or related technical field.
Hands-on experience in Generative AI and agentic AI development.
4-5 years of total experience in AI/ML engineering or applied machine learning.
Experience building and deploying production AI/ML systems.
Solid understanding of modern model architectures including transformers, embeddings, and prompt engineering concepts.
Hands-on expertise with Vertex AI (training, pipelines, deployment, orchestration, and monitoring) and Google Cloud native AI services.
Experience with one or more agent frameworks (i.e. Google ADK/ Agentspace, LangChain/ LangGraph, LlamaIndex, CrewAI or AutoGen)
Python and LLM integration, including MCP and A2A orchestration.
Experience with Kubernetes, Cloud Run, Dataflow or Pub/Sub.
Preferred Qualifications:
Experience with AI observability, responsible AI frameworks, and model monitoring tools (Vertex AI Monitoring, BigQuery logging, Looker dashboards).
Experience with multi-modal models and/or advanced optimization strategies.
Contributions to open-source AI tooling or published applied work.
HL7 Integration Engineer/Developer with Epic Bridges Certification
Remote consulting engineer job
Dear All,
Vertex Elite is currently seeking a qualified HL7 Integration Engineer/Developer with Epic Bridges Certification to join our team.
If you or someone you know is interested, please feel free to reach out for more details or share your updated resume.
Work Authorization : USC or Any valid USA work authorization
Job Type : Contract
Location : 100% Remote
Required Skills and Qualifications
Active Epic Bridges Certification (must-have).
Strong experience in HL7 interface development, integration, and troubleshooting.
Strong proficiency with Intersystems HealthConnect including productions, business services, business processes, and transformations
Experience supporting clinical applications and provider workflows within healthcare systems
Exposure to Cloverleaf interface engine and TCL scripting for interface development (good to have, not mandatory)
With Best Regards,
Rama Raju | Vertex Elite LLC | E-Verified Company | ********************
Lead Engineer - Ericsson Site Digital Twin (ESDT) Program
Remote consulting engineer job
Hello
Fusion Solutions is looking for a lead engineer- Plano, TX.
If this is of interest, please send me your resume with your month and day of birth, I will send you the Right To Represent email and request for your authorization. I will call you once I receive your resume. Thank you!
My Contact Details: (332)- 237-7666 / Email: ******************************
Details of the role are listed below. Thank you!
Title: Lead engineer/Project Manager
Location: Plano, TX (remote will be consider)
Duration: 12 Month
Start Date: Dec 2025
Pay rate: $25 W2 + $35 Per Diem - Total: $60/hr
Description:
We are looking for a lead engineer to be part of the Construction and Engineering team leading the overall delivery for Site Digital Twin program for all customers in US and Canada. The ESDT team digitizes the Telecom infrastructure into BIMs for both ground and tower top. In this role, you will be part of a team that manages the end-to-end process from drone capture to BIM delivery to all our customers in US and Canada. You will work independently and in a team environment to achieve organizational goals/target.
Responsibilities:
• RF Equipment knowledge. Both general knowledge and installation practices. Radios, Antennas, Mounts, Cabinets, Shelters, Batteries, Power plants, etc.
• Understanding customer network and equipment practices. RAN knowledge, Equipment handling (asset tags), Equipment database, Scoping, Drivers, Engineering and Design.
• Develop, Document and Optimize the quality process for all ESDT related programs.
• Interface between AT&T, product teams, executives and offshore teams when developing customer deliverables. (CD formatting, quality reporting, Payload quality). Management of the product as well as the team of over 800 required.
• Must be able to adapt processes and delivery model to new products being developed. For example: New delivery requirements for CD's/BIM, Product growth, Small Cell, In-building or Microwave.
• Customer Management: Consultative with an ability to communicate clearly and manage customer requirements. Lead customer discussions on production volumes, performance OKRs and issues.
• Drive process improvements to bring efficiencies
• Demonstrated results driving complex innovation opportunities with meaningful cost savings or add-on sales.
• Excellent presentation, verbal and written communication skills. The role requires regular presentations to internal executives and customer and exceptional consultative skills
• Ability to operate with a high degree of independence, while managing project and customer expectations
• Leads delivery for several customer accounts, regions, and markets.
• Leads remote engineering teams and is a leader of technology (product solution, process, knowledge sharing etc)
• Identifies & develops new service offerings, including new delivery methods, scopes, tools, and cost models.
• Expertise with RAN and shelter equipment including ancillary equipment
MINIMUM EDUCATION AND EXPERIENCE REQUIREMENTS:
• Min 8 years of telecommunication experience managing/leading large-scale operations (1000s of sites)
• 5 years' experience managing/leading customer delivery directly
• Bachelor or master's degree in engineering or project/program management or vendor management experience
• Proficient in English, written and spoken
• Past experience with ESDT (Ericsson Site Digital Twin) is a plus
Remote opportunity would be considered but only for highly qualified candidate.
Audio Visual Design Engineer (Corporate Office Environments)
Consulting engineer job in Washington, DC
Industry: Architecture & Technology Integration
Employment Type: Full-Time
About the Role:
Our client is a forward-thinking design firm that specializes in fusing workplace architecture with modern AV and smart technology. They are seeking an Audio Visual Design Engineer to help bridge the gap between architectural design and cutting-edge workplace technology. This individual will play a pivotal role in developing intelligent, collaborative, and future-ready environments by integrating audio-visual and IT systems into architectural plans.
Key Responsibilities:
Collaborate on the planning and design of workplaces with integrated AV, IT, and smart building systems.
Create design documentation, drawings, and specifications for AV and workplace technologies including conference rooms, digital signage, and collaboration tools.
Coordinate with consultants, vendors, and project teams to ensure cohesive and seamless technology integration.
Participate in client meetings, offering insight into AV/tech trends and system integration strategies.
Review architectural and MEP drawings to align infrastructure requirements.
Conduct site visits during construction phases to confirm implementation accuracy.
Qualifications:
Bachelor's or Master's degree in Architecture, Interior Architecture, or a related field.
3-7 years of experience in architectural design, with a focus on workplace and technology integration.
Experience in Commercial Office Furniture Systems (planning, integration, or coordination).
Solid understanding of AV systems such as video conferencing, sound masking, and collaboration tech.
Skilled in Revit, AutoCAD, Bluebeam, and Adobe Creative Suite.
Ability to interpret technical AV/IT system drawings and documentation.
Strong communication and teamwork skills.
CTS certification or an interest in obtaining AV/IT-related credentials is a plus.
Bonus Points For:
Familiarity with WELL, LEED, or other sustainability frameworks.
Knowledge of workplace IoT and smart building systems.
Exposure to acoustics, lighting, or environmental controls.
Compensation
Base salary can go up to $120K (Depending on the candidate's experience)
Reverse Engineer/Vulnerability Researcher
Consulting engineer job in Chantilly, VA
Secret clearance or higher
Chantilly, Virginia
Performs assignments of a routine degree of complexity by compiling and evaluating design and test data, preparing technical specifications, analyzing technical data to determine appropriate limits and variables for electrical/electronic systems, components, equipment, and networks.
Assists in the interpretation of results and writing of small sections of technical reports.
Completes assigned project work within schedule and budget constraints.
THE FOLLOWING IS REQUIRED
Bachelor's in Computer Science, Computer Engineering, Electrical Engineering, or related field of study and (+2) years of experience, OR Master's degree in a relevant field, OR an equivalent combination of education/experience in a relevant field
Develop software to run in user-mode or kernel-mode
Ability to code in C or C++
Ability to use a scripting language (Python, Perl, Ruby, etc.)
Experience with PC and embedded systems architecture to include boot processes and OS internals
Experience with a disassembler for vulnerability research (IDA Pro, BinaryNinja, etc.)
Understand network protocols
Experience with one or more assembly languages (x86, x64, ARM, MIPS, PowerPC, etc.)
Experience with one or more debuggers (WinDbg, OllyDbg, gdb, etc.)
Experience with vulnerability research on one or more operating systems: Android, iOS, Windows, Linux, MacOS, VxWorks, QNX, RTOSs, or other custom operating systems
Ability to demonstrate good organization, documentation, communication, problem-solving, and teamwork skills
Knowledge of common mitigation techniques (DEP, ASLR, etc.)
Familiarity with fuzzers
Must be a sole US citizen with an active DoD Secret security clearance
THE FOLLOWING IS DESIRED
Participation in CTFs
Ability to analyze assembly-level code on multiple platforms (x86, x64, ARM, MIPS, PowerPC, etc.)
Experience with symbolic analysis
Ability to analyze network protocols throughout all layers of the network stack
Background in software engineering and architecture
Research Engineer - Applied Machine Learning
Consulting engineer job in Ashburn, VA
Novateur stands for Innovation. We value creativity, vision, collaboration, and above all, ambition to innovate. Novateur Research Solutions is an R&D firm located in Northern Virginia, developing intelligent systems that push the boundaries of computer vision, AI, and large-scale learning.
We are seeking Research Engineers to advance the state of the art in large-scale machine learning, spatiotemporal modeling, and multimodal reasoning. Our projects span object tracking, re-identification, geo-localization, chemical and biological defense, and scene understanding. You will work at the intersection of software engineering and applied research, turning novel algorithms into robust, deployable systems.
Responsibilities:
• Prototype and optimize algorithms in computer vision and machine learning.
• Build scalable training and inference pipelines on cloud platforms (AWS EKS).
• Perform data curation, model evaluation, and system integration.
• Collaborate with academic and government research partners.
Requirements:
• BS or MS in Computer Science, Engineering, Applied Math, or related field.
• Experience with PyTorch or TensorFlow and scalable model training.
• Strong background in algorithms and software design.
• Excellent communication and technical writing skills.
• U.S. Citizen or Permanent Resident.
Preferred:
• Experience with geospatial data (PostGIS, GeoJSON, QGIS).
• Familiarity with Kubernetes and distributed data systems.
Why Novateur?
Join a team that values creativity and initiative. Our engineers have freedom to innovate, collaborate with top researchers, publish research in major scientific conferences, and see their ideas deployed in impactful applications.
Company Benefits:
Novateur offers competitive pay and benefits comparable to Fortune 500 companies that include a wide choice of healthcare options with generous company subsidy, 401(k) with generous employer match, paid holidays and paid time off increasing with tenure, and company paid short-term disability, long-term disability, and life insurance.
We offer a work environment which fosters individual thinking along with collaboration opportunities within and beyond Novateur. In return, we expect a high level of performance and passion to deliver enduring results for our clients.
Senior Electrical Engineer
Consulting engineer job in Bethesda, MD
EDG2, Inc. is a national firm with global reach specializing in innovative design and engineering for mission critical facilities and complex structures. The firm serves clients in various industries, including telecommunications, finance, insurance, healthcare, higher education, and government. EDG2 is committed to exceeding industry standards and providing advanced solutions to meet project requirements.
Role Description
This is a full-time on-site role for an Electrical Engineer at our EDG2 facility located in Bethesda, MD. The Electrical Engineer will be responsible for tasks such as electrical design, power distribution, and commissioning.
Ideal Qualifications
Electrical Design and Electrical Engineering skills
Electrical Commissioning
AutoCAD & Revit Modeling
Proficiency in technical specifications and project constraints
Knowledge of building codes and regulations
Ability to work collaboratively in a team environment
Strong problem-solving and analytical skills
Bachelor's degree in Electrical Engineering or related field
Likes to Travel
Senior Platform Engineer
Consulting engineer job in Arlington, VA
SNI Companies has partnered with a growing company in the Washington DC area in search of a
SENIOR PLATFORM ENGINEER
. These is a ONSITE positions.
is open for US Citizen & Green Card candidates.
Not open for C2C or referrals.
Compensation: $150,000 - $185,000 per year
For immediate consideration, please email your resume top ************************.
You Need to Have:
Bachelor's degree in computer science/information technology or equivalent experience.
Strong background in DevOps, system administration, software development or adjacent role.
Demonstrable expertise in software build and deployment pipelines.
Strong background in cybersecurity as it pertains to DevOps and CI/CD.
10+ years of related experience or commensurate skills, including at least 3 years of experience in one or more of the following technologies: public cloud platforms, CI/CD pipelines, software development, scripting, infrastructure-as-code, container technology, Linux and/or Windows environments.
What You'll Be Doing:
Design, build, implement, and maintain systems and software applications across multi-vendor environments, demonstrating expertise in various technologies.
Develop innovative tools and processes to facilitate automated deployment and monitoring of public and private cloud infrastructure and applications, driving efficiency and reliability.
Lead and/or execute project activities for teams of engineers for assigned projects.
Lead efforts to evaluate new and existing software, systems, technologies, and processes, optimizing workflows and enhancing productivity.
Take a leading engineering role in supporting architectural design and implementation efforts, contributing valuable insights and expertise.
Architect methodologies of automation and orchestration using existing or new tools such as Cloud Formation, Terraform, Puppet, Ansible, and common scripting languages among others.
Ensure high availability of supported environments, meeting or exceeding defined requirements and service level agreements, through proactive monitoring and optimization.
Take primary responsibility for collaboration with various teams to troubleshoot and optimize production systems, services, and applications, ensuring seamless operations.
Lead efforts to evaluate new and existing software, systems, technologies and processes to optimize workflows.
Will direct some day-to-day activities and serve as a mentor for other engineers, sharing knowledge and expertise to foster professional growth and development.
Create detailed status reports and documentation on systems and projects, ensuring they meet compliance, audit, and security standards
Participate in special projects and perform other duties as assigned, contributing to the overall success of the team and organization.
WiFi Design Engineer
Consulting engineer job in Washington, DC
Job Title: WiFi Design Engineer
Onsite Requirements:
WiFi design and deployment
Ekahau software
Secret clearance
Job Description:
We are seeking an experienced WIFI Design Engineer to support the Air Force Base Infrastructure Modernization Project.
As a WIFI Design Engineer, you will be responsible for designing, planning, and implementing wireless network solutions.
Your primary focus will be to ensure robust, reliable, and high-performing wireless infrastructure that meets the needs of our clients.
You will work closely with a team of engineers and other stakeholders to execute network designs, analyze network performance, and troubleshoot any issues that arise.
Key Responsibilities:
Design and Implementation:
Design and develop wireless network architecture, including access points and controllers.
Conduct site surveys to understand wireless coverage needs and plan network installations.
Create heat maps and WiFi coverage models using design tools such as Ekahau, AirMagnet, or similar.
Collaborate with clients to understand their wireless connectivity requirements and objectives.
Select and configure appropriate hardware and software components for wireless networks.
Implement and optimize wireless solutions to ensure maximum performance and coverage.
Conduct wireless signal tests and performance assessments to identify and resolve issues.
Document network designs, configurations, and changes in detailed reports.
Provide technical support and troubleshooting for complex network issues.
Stay updated with the latest wireless technologies and industry trends.
Required Qualifications:
Experience:
Minimum of 3 years of experience in WIFI design and deployment.
Experience with creating wireless designs in Ekahau design software.
Strong understanding of RF principles and wireless communication.
Experience with network security practices and wireless security protocols.
Excellent problem-solving skills and attention to detail.
Strong communication and interpersonal skills.
Ability to work independently and in a team-oriented environment.
Preferred Qualifications:
CWNA (Certified Wireless Network Administrator) or CWDP (Certified Wireless Design Professional) certification.
Experience with enterprise wireless networks and large-scale deployments.
Knowledge of network switching and routing concepts.
Excellent communication skills, both written and verbal, with the ability to convey complex technical concepts to non-technical stakeholders.
**3rd party and subcontract staffing agencies are not eligible for partnership on this position. 3rd party subcontractors need not apply.
This position requires candidates to be eligible to work in the United States, directly for an employer, without sponsorship now or anytime in the future.
This client is a US Federal Government contractor and is legally required to hire US Citizens. US Citizens will only be considered for this role.
Due to the nature of the work, a United States Government Clearance is required to be eligible for the position**
Senior AI Engineer
Consulting engineer job in Reston, VA
TechTrend is seeking a talented Senior AI Engineer to join our AI Rapid Innovation team. Using a modern technology stack and agile approach, in this role you will have the opportunity to lead the development and prototyping of cutting-edge AI solutions that transform how our clients leverage artificial intelligence in their operations.
Be a member of an environment that thrives on innovation and ideas of all members of the team. Our environment is highly collaborative and allows you the opportunity to continue building your skills through training and multiple diverse projects while mentoring and guiding technical team members.
Duties and Responsibilities:
· Lead the design, development, and prototyping of innovative AI solutions primarily using Google Cloud Platform (GCP) AI/ML services including Vertex AI, AI Platform, Document AI, and related technologies.
· Partner with stakeholders, product teams, and technical leadership to rapidly solution and architect AI capabilities that address complex business challenges for major U.S. Government customers.
· Provide technical leadership and mentorship to development team members, guiding best practices in AI/ML engineering, cloud architecture, and agile development methodologies.
· Collaborate closely with business teams, data scientists, and IT professionals to translate business requirements into scalable, production-ready AI solutions.
· Architect and implement end-to-end AI pipelines including data ingestion, model training, deployment, monitoring, and continuous improvement using GCP native services.
· Develop proof-of-concepts and prototypes that demonstrate the art-of-the-possible with generative AI, large language models (LLMs), computer vision, natural language processing, and predictive analytics.
· Leverage experience with Azure AI services (Azure OpenAI, Azure Machine Learning, Cognitive Services) to provide cross-cloud AI solutions when required.
· Implement responsible AI practices including model explainability, bias detection, security controls, and compliance with industry standards and government regulations.
· Work within DevOps/MLOps environments to automate infrastructure provisioning, model deployment, and monitoring using Infrastructure as Code (IaC) tools.
· Create comprehensive technical documentation including architecture diagrams, API specifications, model cards, and operational runbooks for AI solutions.
· Demonstrate a high degree of adaptability and willingness to take on varied responsibilities, often beyond the initial scope of the role, to meet evolving business needs and contribute to cross-functional initiatives.
· Stay current with emerging AI technologies, tools, and best practices, and evangelize innovations within the team and to client stakeholders.
Required Qualifications:
· Bachelor's degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or related technical field
· 5+ years of hands-on software development experience with demonstrated expertise in Python, and familiarity with frameworks such as TensorFlow, PyTorch, scikit-learn, LangChain, or similar
· 2+ years of experience in a technical leadership or team lead capacity, including mentoring developers and guiding technical decisions
· Proven experience designing and deploying AI/ML solutions in Google Cloud Platform, with hands-on knowledge of Vertex AI, BigQuery ML, Document AI, or other GCP AI services
· Strong understanding of machine learning fundamentals, model development lifecycle, and production ML system design
· Experience with containerization (Docker, Kubernetes/GKE) and orchestration of AI workloads in cloud environments
· Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG) architectures for generative AI applications
· Experience with API development and integration using REST, gRPC, or similar protocols
· Strong problem-solving skills with ability to rapidly prototype and iterate on AI solutions
Preferred Qualifications:
· Google Cloud Professional Machine Learning Engineer or Professional Cloud Architect certification
· Experience with Azure AI services (Azure OpenAI Service, Azure Cognitive Services)
· Familiarity with generative AI platforms and frameworks (OpenAI API, Gemini, etc.)
· Experience with data engineering tools and practices
· Knowledge of AI security, model governance, and responsible AI practices
Work Details:
· Work Location: Hybrid - Must live within commutable distance to Reston, VA
· Travel Requirements: Minimal travel (10% or less)
· Job Type: Full-time
Benefits:
· Medical, Dental and Vision Insurance
· Life, Short and Long-term Disability Insurance
· PTO & All federal holidays off
· 401(k) Plan (matching component included)
· Free Gym Access at Headquarters
TechTrend, Inc. is a Small Business providing IT products and services to both the government and commercial markets. We were founded in 2003 and continue to evolve as a leading provider of enterprise-wide services and technology solutions. TechTrend is a noted and trusted partner to our clients who seek our knowledge and guidance for their most critical and complex IT projects. TechTrend's mission is to provide comprehensive, enterprise-wide IT solutions to our clients' complex challenges. We serve as a liaison for positive organizational change by forming relationships and building bridges across functions, gaining buy-in from both leaders and end-users, and removing barriers to mission success. Our established processes ensure quality delivery of results by maximizing efficiency, productivity, and client satisfaction enterprise-wide.
Sr. Identity (IGA/PAM) Engineer
Consulting engineer job in Tysons Corner, VA
Company - Our client is a rapidly growing cybersecurity services provider supporting Fortune 500 and financial institutions. Known for its deep technical expertise and white-glove customer delivery, this firm partners with some of the most recognized brands in the security space. Their customer for this engagement is a prestigious financial services institution headquartered in the Tysons, VA area.
Job Title - Sr. Identity (IGA/PAM) Engineer
Location - Hybrid: 3 days/week onsite in Tysons, VA; 2 days remote
Role Type - Contract (6 months / 1,040 hours)
Must Have Skills:
7+ years of progressive experience in Identity & Access Management (IAM) engineering and architecture
3+ years of hands-on enterprise experience deploying and managing IGA and PAM platforms
Proven background in Enterprise IAM environments
Deep experience with the Saviynt platform, including both IGA and Cloud PAM modules
Expertise integrating IGA/PAM systems with systems like Active Directory, cloud services, databases, and custom apps using connectors and APIs
Responsibilities and Job Details:
Lead the engineering, integration, and administration of Saviynt IGA, including workflows, lifecycle management, and application onboarding
Design and support the Saviynt Cloud PAM module for privileged access, session recording, and auditing
Own the full lifecycle of IGA and PAM platforms, including upgrades, patching, and maintenance
Develop and maintain access certification, SoD, and role-based governance policies
Function as a key technical member of the Enterprise IAM team, adhering to security and change management standards
Act as a liaison between security and other departments, communicating technical requirements and risks effectively
Provide Tier 3 support and root cause analysis for complex IAM issues
Participate in off-hours support as needed, including on-call rotations
Collaborate across development, infrastructure, audit, and business units
Ensure high availability and performance of IAM systems through capacity planning
Document and track technical implementations and decisions throughout project phases
Adhere to strict security and compliance requirements in a financial enterprise setting
Senior Cybersecurity Engineer (RMF)
Consulting engineer job in Alexandria, VA
An E-Learning and Analytics software company that straddles both federal and commercial sectors is hiring for a Senior Cybersecurity Engineer specializing in Risk Management Framework. Their platform takes company data like promotion rates, attrition, and more, and leverages predictive analytics and decision science to give leaders actionable insights.
They are in need of a Senior Cybersecurity Engineer to lead the implementation of RMF across the organization, including both their federal and commercial arms. This person should be versed in everything from coordinating internal and 3rd party audits, cloud compliance, vulnerability scanning tools, POA&M's and Authority to Operate.
This is a high visibility, high profile hire for the team. Because this person will be embedded both with commercial and DoD applications, this candidate must have a Secret Clearance. The role will be hybrid in Alexandria, VA.
Required Skills & Experience:
US Citizen with a Secret Clearance
Bachelors Degree in Cybersecurity or related field
Security+ Certification
5+ years of experience in RMF
NIST 800-53 & NIST 800-171
Experience with vulnerability scanning tools (Nessus, ACAS, etc)
Desired Skills & Experience:
Masters Degree
Experience leading RMF implementations
Prior experience in DoD environment, working with Security Technical Implementation Guides, POA&M's, ATO's, FedRAMP's
Experience working directly with stakeholders, great communication and presentation skills