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Our client, a growing IT Solutions provider, are hiring a Senior Network Subject Matter Expert/Architect with skills in Zero Trust technology to join their Virginia team on a long-term contract. The successful candidate will lead the design and delivery of innovative solutions for federal government programs, architecting and implementing Zero Trust frameworks to strengthen the cybersecurity posture of critical government systems.
Responsibilities
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Design and implement advanced Zero Trust architectures and strategies tailored to the unique challenges of federal government environments.
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Lead the development of Zero Trust models, including identity and access management, network segmentation, encryption and secure access controls across government systems.
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Provide expert guidance and mentorship to cross-functional teams, collaborating with engineers, security analysts and stakeholders to ensure the seamless adoption of Zero Trust principles.
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Ensure compliance with federal cybersecurity standards, regulations and frameworks, including NIST, FISMA and other applicable mandates.
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Conduct risk assessments, identify vulnerabilities and develop proactive strategies to mitigate security risks across government networks and systems.
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Produce clear technical documentation, architecture diagrams, and presentations to effectively communicate complex Zero Trust concepts to both technical and non-technical stakeholders.
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Stay ahead of emerging technologies and industry trends, integrating innovative Zero Trust solutions to strengthen the government’s overall security posture.
Skillset
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Proven experience as a Network Architect, Security Architect or Subject Matter Expert, preferably within federal government or highly regulated environments.
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Strong expertise in Zero Trust architecture, principles and implementation.
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In-depth knowledge of identity and access management (IAM), network segmentation, data protection, and secure authentication methods.
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Familiarity with federal cybersecurity standards and frameworks (NIST 800-207, FISMA, FedRAMP, RMF, etc.).
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Hands-on experience with modern networking technologies, cloud environments (AWS, Azure, GCP) and hybrid infrastructures.
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Relevant certifications such as CISSP, CCSP, CISM, CISA are highly desirable.
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Excellent communication and leadership skills.
ServiceNow Solution Architect
Location: Remote in USA
Contract Type: Long-term / Ongoing
Our client, a global provider of networking and security solutions, are hiring a ServiceNow Solution Architect to lead the next phase of their ServiceNow implementation. This is a long-term contract position where you will serve as a subject matter expert for the Technology Service Management (TSM) module, working closely with both US and European development teams to help shape their architecture and development strategy.
Responsibilities
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Lead design and architectural decisions for Phase 2 of their ServiceNow implementation.
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Advise and shape the architecture and development approach to meet business needs.
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Collaborate with cross-functional teams, including US and European developers, to ensure successful implementation and adoption.
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Act as a long-term subject matter expert for TSM within ServiceNow.
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Provide guidance on best practices, platform optimization, and future roadmap planning.
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Influence and impact strategic decisions at the senior leadership level regarding the ServiceNow platform.
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Collaborate closely with internal teams and stakeholders to align platform strategy.
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Identify gaps and recommend improvements based on previous phase learnings.
Skillset
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Extensive experience in ServiceNow Architecture, with a strong focus on TSM.
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Proven ability to lead complex implementations across multiple geographies.
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Strong advisory skills with a track record of influencing senior leadership.
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Hands-on experience defining scalable and sustainable ServiceNow solutions.
Our client, a growing Biotech company, are hiring an AI Research Scientist to join their research team. The successful candidate will help shape the company’s platform and drive innovation in AI for healthcare by transforming cutting-edge research into practical tools and meaningful open science contributions.
Responsibilities
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Transform whiteboard concepts into working prototypes and experimental demos.
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Enhance reliability by integrating LLMs with retrieval methods, symbolic reasoning and traditional ML techniques.
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Formulate clear hypotheses, conduct rigorous studies and iterate quickly.
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Contribute to the field by publishing papers, releasing datasets and engaging with the research community.
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Drive both short-term product impact and long-term, high-value research initiatives.
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Support team growth by mentoring, leading paper discussions and promoting reproducible science best practices.
Skillset
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PhD in Machine Learning, Physics, Mathematics, Engineering or similar.
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Proven research track record with first-author publications at leading conferences (e.g. NeurIPS, ACL, ICML, EMNLP).
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Deep expertise in LLMs, including fine-tuning, prompt engineering, and integration with external tools and knowledge sources.
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Strong experimental background in benchmarking, statistical analysis and clear visualization of complex results.
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Proficient in production-grade coding (Python, PyTorch/JAX) with experience contributing to large-scale codebases.
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Excellent communication skills, able to translate complex research into actionable insights for product and executive teams.
Benefits
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Salary: $190k - $240k DOE.
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Equity.
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Comprehensive health, dental, and vision insurance
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Generous parental leave and wellbeing benefits.
Our client, a fast-growing healthcare organization, are hiring a Machine Learning Engineer to join the team in New York or San Francisco. The successful candidate will play a key role in shaping the future of conversational AI by driving meaningful improvements in patient outcomes and transforming the way healthcare systems engage and communicate.
Responsibilities
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Develop and implement machine learning models tailored for SMS and voice-enabled conversational AI.
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Create scalable pipelines to support data ingestion, model training and real-time deployment.
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Fine-tune large language models using healthcare-focused datasets to enhance accuracy and relevance.
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Collaborate with full-stack engineering teams to seamlessly integrate AI capabilities into core product experiences.
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Lead the full lifecycle of model deployment, including monitoring, troubleshooting and iterative optimization.
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Continuously explore emerging AI/ML technologies and healthcare innovations to keep their solutions cutting-edge.
Skillset
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At least 4 years of experience in AI/ML engineering, with a strong focus on NLP, large language models and conversational AI.
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Proven track record of deploying ML models into production, preferably within healthcare or other regulated industries.
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Proficient in Python and experienced with ML frameworks such as TensorFlow and PyTorch.
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Strong skills in fine-tuning LLMs, prompt engineering and integrating models into real-world applications.
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Comfortable working with cloud platforms (e.g. AWS, Azure, GCP) and knowledgeable in MLOps practices for scalable deployments.
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Experience with voice and speech-based technologies, including recognition and generation.
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Hands-on background in designing and implementing conversational AI solutions.
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Exceptional analytical and communication abilities.
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Familiarity with HIPAA compliance and handling of sensitive healthcare data is a bonus.
Benefits
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Competitive Salary.
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Equity.
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Remote working.
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Comprehensive healthcare package.
Our client, a leading FinTech organization, is hiring a Senior Software Engineer to join their engineering team remotely. The successful candidate will play a pivotal part in the company’s growth by driving the full software development lifecycle, from design, development, testing, deployment and maintenance, to help shape products that positively impact millions of lives.
Responsibilities
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As the Senior Software Engineer, you will be responsible to architect and implement scalable back-end systems.
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Lead data engineering efforts across big data pipelines, including validation, cleaning, deduplication, matching, testing and quality assurance.
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Collaborate with a mission-driven engineering team to deliver high-quality, customer-focused solutions.
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Contribute to core enterprise data collection platforms that serve millions of users.
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Tackle complex challenges with simple, elegant, and scalable solutions - balancing rapid delivery with long-term vision.
Skillset
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Extensive experience in back-end engineering and distributed system design.
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Strong background in data engineering, including large-scale data processing and optimization.
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Practical experience building and scaling microservices architectures.
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Proficiency across key technologies: Back-end (Go, Python), Cloud (AWS, Terraform) and Data (PostgreSQL, S3, Redis, Snowflake, MongoDB).
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Skilled in developing, maintaining, and monitoring web services in AWS Lambda and containerized environments (e.g. Docker).
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Advanced knowledge of SQL and NoSQL databases, with experience in both data warehouses and data lakes.
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Deep understanding and application of Agile methodologies, TDD, CI/CD pipelines and DevSecOps practices.
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Previous experience working in a fast-paced startup environment is a plus.
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Strong communication skills with excellent skills in translating complex technical concepts for non-technical audiences.
Benefits
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Salary: $170k - $190k.
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Equity.
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Comprehensive health, dental and vision insurance.
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401(k) offerings with 4% company match.
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Fully remote working environment.
Location: Virginia (Hybrid - 3 days per week onsite)
Contract: 12 months
Our client, a leading Digital Transformation services firm, is hiring a Senior Data Security Specialist with deep expertise in Zero Trust architectures and a proven track record supporting federal government initiatives. This role will take the lead in designing and implementing advanced data security strategies, ensuring robust Zero Trust principles are embedded across government data environments.
Responsibilities
- Develop and implement Zero Trust data protection strategies (encryption, tokenization, and data masking) to safeguard sensitive government data across networks and repositories.
- Design and manage identity-centric access controls, defining granular permissions and enforcing least-privilege access to sensitive data.
- Implement advanced encryption methodologies for data at rest, in transit, and in processing, ensuring full compliance with Zero Trust standards.
- Oversee secure data lifecycle management, including classification, retention policies and disposal procedures, aligned with Zero Trust data protection frameworks.
Skillset
- Strong expertise in Zero Trust security frameworks and architectures.
- Hands-on experience with data security technologies: encryption, tokenization, data masking, and key management.
- Proficiency in identity and access management (IAM), least-privilege enforcement, and multi-factor authentication.
- Solid understanding of federal security standards and compliance frameworks (e.g. NIST, FedRAMP, FISMA).
- Excellent communication skills with the ability to interface with technical and non-technical stakeholders.