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At Space Coast Credit Union (SCCU) , our members are at the heart of everything we do. Since 1951, we've been committed to delivering financial services founded on integrity and a people-first philosophy. As a Cybersecurity Engineer, you will be responsible for protecting the credit union's digital assets, sensitive customer information, and internal systems from cyber threats. This role involves designing, implementing, and managing security measures to ensure the confidentiality, integrity, and availability of data and systems. Responsibilities and expectations will scale according to the candidate's experience level Why Join SCCU? Member-Focused Mission: Be part of a not-for-profit organization that reinvests in its members. Flexible Schedule Options Career Growth: We prioritize internal promotions and offer on-the-job training. Cybersecurity Engineer I Key Responsibilities Monitor security systems (SIEM/Endpoint Protection (AV, EDR, Zero Day, APT), DLP, IPS/IDS, NAC and rogue device detection) for suspicious activities and anomalies. Respond to security incidents, conducting root cause analysis and coordinating remediation efforts. Identify, analyze, and respond to security threats and vulnerabilities. Perform threat hunting and advanced detection activities to protect systems and data. Lead the planning, testing, and scheduling of system patches across all endpoints, mobile devices, servers, and network infrastructure. Develop and maintain a patch management schedule and ensure timely application of security patches and updates. Coordinate with various teams to minimize disruption and ensure compatibility of patches with organizational systems. Conduct vulnerability assessments and penetration testing. Identify and prioritize risks, working with IT teams to remediate vulnerabilities and implement patches. Design, implement, and manage security solutions, including firewalls, encryption protocols, access control systems, and data protection technologies. Ensure compliance with regulations such as NCUA, PCI-DSS, and other applicable industry standards. Assist in audits, both internal and external, and provide reports and documentation as required. Develop, document, and maintain security policies, standards, and procedures. Contribute to the continuous improvement of the organization's cybersecurity posture. Work closely with network, systems, and application teams to ensure security is integrated into the infrastructure. Support secure system and application development practices. Assist in delivering cybersecurity training programs to staff, promoting awareness of security policies, phishing attacks, and safe computing practices. Lead complex incident response efforts, coordinating with internal teams and external partners. Serve as the primary point of contact during high-impact security incidents. Cybersecurity Engineer I Requirements Bachelor's degree in Cybersecurity, Information Technology, Computer Science, or related field. Relevant certifications and experience may substitute for a degree. 3-5 years of experience in cybersecurity. Cybersecurity Engineer I Compensation $99,000.00 - $139,734.00 SCCU Benefits Health & Wellness: Medical, dental, and vision insurance, plus an Employee Assistance Program. Financial Perks: 401(k) match (5%), HSA match, and SCCU-paid insurance (short/long-term disability, life insurance). Education Support: Tuition reimbursement after one year of service. Generous Time Off: 20+ days of PTO, birthday PTO, and 11 federal holidays. Exclusive Discounts: Lower rates on loans, credit cards, and no fee SCCU accounts! Work Schedule Monday – Friday: 8:00 a.m. - 5:00 p.m. About SCCU Since 1951, Space Coast Credit Union (SCCU) has proudly served our community, growing to over 685,000 members and managing $9 billion in assets. With 67 branches spanning Florida's east coast, we are the third-largest credit union in the state. In 2025, we expanded into Orange County to better serve the growing East Orlando market. As a not-for-profit financial institution, SCCU is dedicated to putting our members first. Unlike traditional banks, we return profits to our members through better rates, lower fees, and enhanced services. While we offer the same financial products—like checking, savings, and loans—our focus remains on empowering our members and supporting their financial well-being. With local decision-making and a commitment to exceptional service, we strive to make a meaningful difference in the lives of those we serve. At SCCU, we also prioritize our team members by fostering a supportive and collaborative environment that encourages career growth and development. As we continue to grow, we are seeking talented, member-focused professionals to join our team and help deliver innovative financial solutions and outstanding service. I UNDERSTAND this application is a legal document for purposes of employment. Upon acceptance of an offer with SCCU, I understand that I will be required to complete background screening, employment and education verifications, and drug screening. If I am a member of Space Coast Credit Union, my SCCU membership accounts will be reviewed as part of the employment screening process to determine whether they are in good standing, as defined by SCCU policy. Failure to meet these standards may affect employment eligibility, including the possible withdrawal of a conditional offer of employment. I further understand that any misstatements or omissions in this application or during the pre-employment process may be considered falsification and could result in a decision not to hire me, or termination of employment if discovered after hire. I UNDERSTAND that the information requested regarding date of birth, race, and sex is for the sole purpose of gathering the above information accurately and will not be used to discriminate against me in violation of any law. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and complete the required employment eligibility verification documentation upon hire. SCCU is a drug-free workplace. I understand that as a condition of employment, I will be required to submit to drug testing and any procedures necessary to assess my qualifications for employment. If hired, I further understand that my employment is for no definite period and may be terminated at any time without prior notice.

At Space Coast Credit Union (SCCU) , our members are at the heart of everything we do. Since 1951, we've been committed to delivering financial services founded on integrity and a people-first philosophy. As a Cybersecurity Engineer, you will be responsible for protecting the credit union's digital assets, sensitive customer information, and internal systems from cyber threats. This role involves designing, implementing, and managing security measures to ensure the confidentiality, integrity, and availability of data and systems. Responsibilities and expectations will scale according to the candidate's experience level Why Join SCCU? Member-Focused Mission: Be part of a not-for-profit organization that reinvests in its members. Flexible Schedule Options Career Growth: We prioritize internal promotions and offer on-the-job training. Cybersecurity Engineer I Key Responsibilities Monitor security systems (SIEM/Endpoint Protection (AV, EDR, Zero Day, APT), DLP, IPS/IDS, NAC and rogue device detection) for suspicious activities and anomalies. Respond to security incidents, conducting root cause analysis and coordinating remediation efforts. Identify, analyze, and respond to security threats and vulnerabilities. Perform threat hunting and advanced detection activities to protect systems and data. Lead the planning, testing, and scheduling of system patches across all endpoints, mobile devices, servers, and network infrastructure. Develop and maintain a patch management schedule and ensure timely application of security patches and updates. Coordinate with various teams to minimize disruption and ensure compatibility of patches with organizational systems. Conduct vulnerability assessments and penetration testing. Identify and prioritize risks, working with IT teams to remediate vulnerabilities and implement patches. Design, implement, and manage security solutions, including firewalls, encryption protocols, access control systems, and data protection technologies. Ensure compliance with regulations such as NCUA, PCI-DSS, and other applicable industry standards. Assist in audits, both internal and external, and provide reports and documentation as required. Develop, document, and maintain security policies, standards, and procedures. Contribute to the continuous improvement of the organization's cybersecurity posture. Work closely with network, systems, and application teams to ensure security is integrated into the infrastructure. Support secure system and application development practices. Assist in delivering cybersecurity training programs to staff, promoting awareness of security policies, phishing attacks, and safe computing practices. Lead complex incident response efforts, coordinating with internal teams and external partners. Serve as the primary point of contact during high-impact security incidents. Cybersecurity Engineer I Requirements Bachelor's degree in Cybersecurity, Information Technology, Computer Science, or related field. Relevant certifications and experience may substitute for a degree. 3-5 years of experience in cybersecurity. Cybersecurity Engineer I Compensation $99,000.00 - $139,734.00 SCCU Benefits Health & Wellness: Medical, dental, and vision insurance, plus an Employee Assistance Program. Financial Perks: 401(k) match (5%), HSA match, and SCCU-paid insurance (short/long-term disability, life insurance). Education Support: Tuition reimbursement after one year of service. Generous Time Off: 20+ days of PTO, birthday PTO, and 11 federal holidays. Exclusive Discounts: Lower rates on loans, credit cards, and no fee SCCU accounts! Work Schedule Monday – Friday: 8:00 a.m. - 5:00 p.m. About SCCU Since 1951, Space Coast Credit Union (SCCU) has proudly served our community, growing to over 685,000 members and managing $9 billion in assets. With 67 branches spanning Florida's east coast, we are the third-largest credit union in the state. In 2025, we expanded into Orange County to better serve the growing East Orlando market. As a not-for-profit financial institution, SCCU is dedicated to putting our members first. Unlike traditional banks, we return profits to our members through better rates, lower fees, and enhanced services. While we offer the same financial products—like checking, savings, and loans—our focus remains on empowering our members and supporting their financial well-being. With local decision-making and a commitment to exceptional service, we strive to make a meaningful difference in the lives of those we serve. At SCCU, we also prioritize our team members by fostering a supportive and collaborative environment that encourages career growth and development. As we continue to grow, we are seeking talented, member-focused professionals to join our team and help deliver innovative financial solutions and outstanding service. I UNDERSTAND this application is a legal document for purposes of employment. Upon acceptance of an offer with SCCU, I understand that I will be required to complete background screening, employment and education verifications, and drug screening. If I am a member of Space Coast Credit Union, my SCCU membership accounts will be reviewed as part of the employment screening process to determine whether they are in good standing, as defined by SCCU policy. Failure to meet these standards may affect employment eligibility, including the possible withdrawal of a conditional offer of employment. I further understand that any misstatements or omissions in this application or during the pre-employment process may be considered falsification and could result in a decision not to hire me, or termination of employment if discovered after hire. I UNDERSTAND that the information requested regarding date of birth, race, and sex is for the sole purpose of gathering the above information accurately and will not be used to discriminate against me in violation of any law. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and complete the required employment eligibility verification documentation upon hire. SCCU is a drug-free workplace. I understand that as a condition of employment, I will be required to submit to drug testing and any procedures necessary to assess my qualifications for employment. If hired, I further understand that my employment is for no definite period and may be terminated at any time without prior notice.

Direct Supply is building the future of healthcare technology with industry-leading products, solutions and platforms to help improve the lives of millions of seniors and those who care for them. The Senior Cyber Security Engineer plays a critical role in identifying, assessing and reducing cybersecurity risks across Direct Supply's technology environments. This role provides hands-on technical expertise and operational ownership of vulnerability management and penetration testing to strengthen security controls, reduce exposure and protect business systems and information. Reporting to the Director of Information Security, you'll work independently and collaborate with engineering, operations and security teams to drive effective remediation, improve security processes and deliver measurable improvements in Direct Supply's security posture. What You'll Do And Impact Own vulnerability management operations by establishing effective processes, maintaining security scanning tools and ensuring reliable coverage across infrastructure, cloud and application environments to identify and reduce security exposure. Analyze and prioritize security vulnerabilities by validating findings and assessing exploitability, asset criticality and business impact to focus remediation efforts on the highest risks. Drive vulnerability remediation by partnering with engineering and operations teams to coordinate corrective actions, monitor progress, verify fixes and escalate unresolved risks. Improve security processes by automating scanning, ticketing and reporting workflows to increase efficiency, strengthen consistency and reduce manual effort. Monitor and report security performance through metrics on scanning coverage, remediation progress, overdue vulnerabilities and recurring risks to improve visibility and support informed decisions. Plan and execute internal and external penetration testing by defining assessment scope, conducting security testing and identifying exploitable weaknesses to strengthen security defenses. Validate security weaknesses and potential attack paths through automated discovery, manual testing and controlled exploitation to assess business impact and deliver actionable findings. Coordinate external penetration testing services by managing testing scope, schedules, access and deliverables while monitoring provider performance to ensure effective testing coverage and quality. Drive resolution of penetration testing findings by validating results, providing remediation guidance, coordinating corrective actions and retesting fixes to confirm vulnerabilities have been addressed. Strengthen security practices by analyzing root causes, recommending improvements to system designs and configurations, and sharing technical knowledge to prevent recurring vulnerabilities. What You'll Bring Bachelor's degree in Computer Science, Engineering, Information Security or a related field. 6+ years of progressive experience in information security or security engineering, including hands-on experience in vulnerability management and penetration testing. Demonstrated expertise in vulnerability assessment, security scanning platforms, asset coverage, finding validation and risk-based prioritization to identify and reduce security exposure. Hands-on experience conducting internal and external penetration testing, including manual validation, controlled exploitation, security risk assessment and technical reporting. Experience operating, configuring and troubleshooting security platforms and automating security workflows to improve operational efficiency and testing effectiveness. Experience assessing vulnerabilities and security risks across infrastructure, cloud and application environments, including complex cloud environments. Ability to independently investigate complex security issues, identify root causes and recommend practical corrective actions that reduce recurring risks. Experience coordinating external security testing providers and communicating technical findings, remediation priorities and security risks to technical stakeholders and leadership. OSCP, GPEN, GWAPT or relevant vulnerability management certifications; scripting and API integration experience; and experience testing web applications, APIs and cloud environments preferred. Job to be performed in the location listed. Generous benefit package available. © 2013 to 2026 Direct Supply, Inc. All rights reserved.

Xcelerate Solutions is seeking a Tier 2 SOC Analyst to support CyberPRIMES cybersecurity, privacy, records and information management, and related enterprise support for DHRA, including DMDC and OUSD(P&R). Come join our award-winning organization and work with some of the most talented and brightest minds in the GovCon industry. Clearance: Active Secret Location: Alexandria, VA Responsibilities Perform advanced analysis of security events escalated from Tier 1 or identified through endpoint, user-activity, network, and other monitoring capabilities. Correlate alerts and supporting data, determine scope and potential impact, and recommend or initiate actions under approved procedures. Support incident triage, escalation, containment coordination, and evidence preservation in collaboration with the incident-response team. Document analysis, actions, and conclusions in Government-approved systems and contribute to SOC event reporting. Support tuning, process improvement, and knowledge transfer that improve detection quality and analyst effectiveness in the 24x7 SOC environment. Apply intermediate information-assurance expertise in approved COTS security-analysis tools, mitigation and compliance checking, security testing, and Tier 2 troubleshooting. Minimum Qualifications Bachelor's degree and five years of experience. Must be U.S. Citizen A Secret clearance is required when the assigned duties require classified information or SIPRNet access. Compensation Range: The anticipated salary range the Employer reasonably expects to pay for this position is $94,000 to $127,000 annually. About Xcelerate Solutions: Founded in 2009 and headquartered in McLean, VA, Xcelerate Solutions (www.xceleratesolutions.com) is one of America's fastest-growing companies. Xcelerate's culture is defined by our diversified workforce of dynamic and versatile professionals, supported with growth and development opportunities that contribute to individual and company growth. This strong commitment to our employees has been recognized by our inclusion on the Washington Business Journal's "50 Best Places to Work" list as well as being a "Great Place to Work" certified company with a 4.6 star, and a 99% CEO approval Glassdoor rating. Come find out why Xcelerate Solutions is one of the DC Metro top employers! Xcelerate Solutions is an Equal Employment Opportunity/Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, age, equal pay, disability, veteran status, sex, sexual orientation, gender identity, genetic information, or expression of another protected characteristic. As part of this commitment to the full inclusion of all qualified individuals, Xcelerate provides reasonable accommodations if needed because of an applicant's or an employee's disability. Pay Transparency Notice: Xcelerate Solutions will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Responsibilities Kforce has a client that is seeking an IT Security Analyst to join their team in Tampa, FL. This position will support the organization's cybersecurity operations by monitoring and responding to security events, managing security technologies, identifying vulnerabilities, and helping mitigate risk across a diverse enterprise environment. Key Responsibilities: Monitor, analyze, investigate, and respond to security events across a variety of systems and technologies Process and correlate technical information from multiple sources to support security investigations Provide operational and maintenance support for security tools and agents Perform vulnerability scanning and assist with remediation efforts Analyze and respond to newly identified software and hardware vulnerabilities Identify areas of cybersecurity risk and assist with mitigation efforts Monitor and administer security controls, including endpoint protection, vulnerability management, email security, firewalls, and web filtering Stay current on cybersecurity threats, vulnerabilities, exploits, and industry countermeasures Evaluate security technologies, vendor products, and services and assist with recommendations and implementation Work independently and collaboratively to prioritize and complete security-related initiatives Participate in periodic after-hours/on-call support for security operations Assist with special projects and additional security initiatives as needed Requirements Bachelor's degree from a four-year college or university Knowledge of or ability to quickly learn Microsoft 365 and Microsoft Office applications Experience Or Working Knowledge Of Windows Server Active Directory Linux Windows 10/11 Cisco LAN/WAN technologies VPN, DNS, and DHCP Endpoint Detection and Response (EDR) tools Vulnerability management tools Automated systems management Password management technologies Email security technologies Preferred Qualifications Current SANS or other relevant cybersecurity certifications are preferred 4+ years of technical support or related IT experience supporting security technologies in a diverse technology environment Experience with SIEM platforms or scalable log management solutions, including configuration and tuning Experience with vulnerability scanning and reporting tools such as Nessus, Qualys, or Rapid7 Experience monitoring or administering technical security controls, including: Firewalls Web filters Antivirus/endpoint security solutions Strong analytical and problem-solving skills with the ability to investigate complex technical information Professional, collaborative approach with an openness to new technologies, ideas, and solutions The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. By clicking "Apply Today" you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.

Overview Serve as a front-line defender against cyber threats, with responsibilities including intrusion detection and prevention, continuous diagnostics and mitigation (CDM), security awareness training, malware defense, incident response and notification, and vulnerability testing and analysis. Collaborate with cross-functional teams to ensure systems consistently meet availability and security requirements. Responsibilities Perform network security analysis and work with the 3rd party SOC teams conducting incident response, event analysis and threat intelligence Provide both strategic analysis and near real-time auditing, investigating, reporting, remediation, coordinating and tracking of security-related activities Analyze data and prepare reports that document vulnerabilities from network based attacks and recommend actions to prevent, repair or mitigate these vulnerabilities Evaluate new tools and use existing tools to help discover and mitigate security vulnerabilities Coordinate with System and Network Administrators to ensure security vulnerabilities are tracked and mitigated in a timely manner Assist with user account administration, creation, modification, & deletion, and conduct user access control requests and reporting Review vulnerability scans and stay abreast of new vulnerabilities and malicious software which could impact 84 Lumber Configure, monitor, and/or support security software/systems that will help ensure compliance with regulatory, industry, and corporate policies and procedures Assist with the identification, response, investigation, and remediation of potential breaches and issues surrounding data security Perform network, system and server security assessments Monitor, analyze, and communicate security alerts and information Receive and accurately log all support requests in a timely manner using 84 Lumber Incident Management tools Perform post-resolution follow-up to ensure reported security incidents have been successfully resolved Engage 3rd party support partners as required Engage in independent and structured continuous learning to maintain technical competency and business awareness, ensuring the delivery of superior customer support as new technologies are implemented Maintain regular communication with peers and IT teams to stay informed about ongoing issues, evolving processes, and updated standards Project Management support for small scale technology deployments All other duties as assigned Supervisory Responsibility This position has no supervisory responsibilities. Work Environment The incumbent is located in a busy, open area office. The incumbent is faced with constant interruptions on a regular basis. Physical Demands This position requires frequent sitting, use of hands, talking and listening. Periodically, this position will walk, stand and reach. Rarely, this position will climb, balance, stoop, kneel, crouch or crawl. Position Type/Expected Hours of Work This is a full-time position that provides Security support, on a 24 x 7 schedule. Travel Some travel is expected for this position. Qualifications Knowledge of information security standards and the importance of information security ensuring ongoing mission critical business functions Knowledge of the principles, practices, theories and concepts of information security related to network, workstations, servers, and applications Self-starter with initiative and drive for continuous improvement Demonstrate strong organizational, research, analytical and/or problem-solving skills to evaluate situations, make recommendations and take effective action Capable of articulating complex technical concepts or scenarios to both technical and non-technical audiences Preferred Education And Experience Bachelor's Degree (Cybersecurity, Computer Science or related field) or equivalent experience At least one industry recognized security certification (minimum Comp TIA Security+) 3-5 years Information security administration/analysis/engineering experience in a corporate environment Demonstrated experience supporting third party security tools to manage and audit information systems 3+ years exposure to Information Technology General Controls Works with minimum supervision, proactively follows up on outstanding issues/tickets Ability to handle multiple tasks with changing priorities in a fast-paced and deadline-oriented environment Strong analytical, interpersonal, verbal/written communication and problem-solving skills Demonstrated collaborative skills and ability to work well independently and within a team Self-motivated with critical attention to detail, deadlines and reporting Prior experience with retail store operations and technologies preferred Direct experience with Cortex, Proofpoint, Tanium, ServiceNow, Entra Id or Azure a strong plus 84 Lumber Company is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. 84 Lumber Company is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation to participate in the job application or interview process, contact recruiting@84lumber.com.

Company Overview At 4A Consulting, we turn complexity into opportunity. Founded in 2014 and headquartered in Baltimore, MD, we are a women-owned, boutique consulting firm specializing in delivering innovative, data-driven solutions to both the Federal Government and Fortune 500 clients. Our team blends deep industry knowledge with advanced technologies to design tailored strategies that drive measurable and sustainable outcomes. We pride ourselves on an agile, collaborative approach that helps organizations navigate challenges and seize emerging opportunities in a rapidly evolving digital landscape. At 4A, we don t just deliver projects, we build trusted partnerships that empower our clients to lead with confidence in the digital age. Position Overview The Senior AI/ML Platform Engineer will design, implement, operate, and continuously improve the state's shared enterprise AI/ML platform. The role focuses on platform automation, MLOps, CI/CD, cloud infrastructure, observability, reliability engineering, and cost optimization. The engineer will own critical platform components end-to-end, improve developer productivity and deployment efficiency, establish engineering standards, and mentor other engineers while enabling secure, reliable, and scalable AI/ML services across multiple state agencies. Work Location: This role is expected to be onsite at Linthicum, MD. Some teleworking may be permitted based on assignment and team needs. Interview: An in-person interview may be required. Key Responsibilities Pipeline Automation and CI/CD: Design and maintain enterprise-grade ML CI/CD pipelines for automated model validation, testing, A/B testing, canary deployments, rollback, and production releases. Implement GitOps practices and improve model-to-production delivery times. Observability and Reliability: Establish monitoring, alerting, and service-level objectives (SLOs) for platform services and deployed models. Implement model monitoring for data drift, concept drift, and performance degradation. Lead incident response, root-cause analysis, and corrective actions. Cloud Cost Optimization: Monitor cloud expenditure, identify resource inefficiencies, and optimize GPU/CPU utilization, autoscaling, workload scheduling, and infrastructure sizing. Evaluate platform components based on performance and total cost of ownership. Developer Experience and Self-Service: Develop internal SDKs, CLI tools, reusable templates, APIs, and standardized deployment workflows. Maintain API versioning, backward compatibility, documentation, runbooks, architecture decision records (ADRs), and onboarding guides. Platform Engineering and Operations: Own the architecture, implementation, maintenance, and production support of core platform components. Ensure scalability, availability, security, maintainability, and operational efficiency. Technical Leadership and Mentorship: Conduct code and design reviews, mentor engineers, establish engineering best practices, participate in architecture reviews and technical evaluations, and collaborate with agency teams and platform leadership. Required Qualifications Bachelor's degree from an accredited college or university in Computer Science, Information Systems, Engineering, Business, or another related scientific or technical discipline. A master's degree is preferred. At least ten (10) years of experience in platform engineering, MLOps, or data/software engineering, including at least two (2) years working with production ML systems. Strong proficiency in Python and experience developing and maintaining reliable, production-grade software. Demonstrated experience designing and improving ML CI/CD pipelines, automation frameworks, and deployment processes. Experience with AWS, Azure, or Google Cloud Platform, including cloud resource management and cost optimization. Advanced experience with Kubernetes, including cluster management, resource quotas, autoscaling, and workload scheduling. Hands-on experience with observability tools such as Prometheus, Grafana, Datadog, and OpenTelemetry, or equivalent technologies. Production-scale experience with Terraform and Ansible for infrastructure automation and configuration management. Strong understanding of the ML lifecycle, including experiment tracking, model registries, feature stores, model serving, and drift monitoring. Preferred Qualifications Experience in state government, the public sector, or highly regulated environments. Familiarity with FedRAMP, NIST AI Risk Management Framework (AI RMF), and applicable cybersecurity and privacy requirements, including CJIS, HIPAA, IRS Publication 1075, and PII protection, where applicable. Experience with responsible AI, model explainability, fairness auditing, bias mitigation, and model risk management. Knowledge of platform observability, reliability engineering, incident management, disaster recovery, and cloud cost optimization. Strong technical leadership, mentoring, documentation, communication, and cross-functional collaboration skills, including the ability to explain complex technical concepts to executive and nontechnical stakeholders. Skills And Competencies Systems ownership: Takes end-to-end responsibility for platform reliability and operational outcomes. Quantitative problem-solving: Measures improvements in latency, cloud cost, mean time to recovery (MTTR), and developer onboarding time. Technical communication: Produces clear architecture documents, technical specifications, runbooks, and incident reports. Cross-functional collaboration: Communicates technical trade-offs effectively with engineers, agency stakeholders, and leadership. Mentorship: Supports engineering development through code reviews, knowledge sharing, and collaborative problem-solving. Why Join 4A Be part of a mission-driven, women-owned consulting firm with a reputation for excellence. Work on high-impact projects across federal and commercial clients. Collaborate in an inclusive, growth-oriented culture where innovation is valued. Access career development programs, mentorship, and learning opportunities. Enjoy a comprehensive benefits package, flexible work options, and a focus on work-life balance. Equal Opportunity Statement 4A Consulting is an Equal Opportunity Employer committed to an inclusive hiring process. Applicants requiring a reasonable accommodation due to a disability may contact . This email is intended solely for accommodation requests. Please note that 4A Consulting participates in the federal E-Verify program. Upon hire, we will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the US. 4A Consulting will only use E-Verify once you have accepted a job offer and completed the Form I-9. Apply Now

Overview It is an exciting time to join Fisher Investments as we expand our Machine Learning capabilities to support our international growth. We are looking for a Senior MLOps Engineer to build the infrastructure, pipelines, and operational practices that bring machine learning and generative AI solutions from experimentation into reliable, secure, and scalable production services. The Opportunity: As a Senior MLOps Engineer, you will build, deploy, and operate machine learning and generative AI solutions in enterprise environments. Working closely with AI leads, ML engineers, and platform teams, you will turn experimental workflows into production-ready services and establish the operational practices needed to support them. You will report to the AI Team Leader, Technology Innovation. The Day-to-Day: Design, build, and operate end-to-end data and ML pipelines on Azure and Databricks, including ingestion, validation, feature engineering, model training, fine-tuning, evaluation, and deployment Build and maintain CI/CD workflows for application code, model artifacts, prompt templates, retrieval and context configurations, evaluation datasets, and infrastructure Operationalize retrieval-augmented generation (RAG) and context engineering workflows, including document ingestion, chunking, embedding generation, indexing, retrieval, context selection and assembly, and evaluation of retrieval and response quality Collaborate with ML engineers, data engineers, and the AI Lead to translate experimental training, fine-tuning, evaluation, and inference workflows into reproducible, production-ready systems Develop and maintain production-grade APIs and microservices using Python and FastAPI to expose model inference and integrate AI capabilities into enterprise applications Deploy, operate, and scale model-serving endpoints and containerized inference services using Azure-managed services, Docker, and Kubernetes to workload requirements Provision and manage cloud and platform resources through infrastructure as code, ensuring consistent, repeatable, and auditable environment configurations Implement automated testing and release quality gates for application code, data quality, model performance, retrieval quality, AI safety, and deployment readiness Establish model and artifact versioning, experiment tracking, and deployment traceability to support reproducibility and troubleshooting Monitor and improve model quality, data and retrieval pipeline reliability, inference latency, throughput, service availability, and infrastructure cost efficiency Partner with infrastructure, security, and governance teams to implement appropriate access controls, auditability, and operational safeguards Your Qualifications: 10+ years of experience building data-driven software solutions, including 5+ years of hands-on machine learning engineering experience 8+ years of Python development experience, including building and maintaining production services, APIs, or data pipelines Demonstrated experience deploying and operating machine learning or generative AI solutions in production Experience with Databricks, including Delta Lake, Auto Loader, Workflows, Feature Engineering, and deployment automation using Databricks Asset Bundles Hands-on experience building CI/CD pipelines and implementing automated testing and deployment workflows for data and ML systems Hands-on experience with cloud-native AI infrastructure and related technologies, including Azure Foundry, Azure Kubernetes Service, Docker, and GPU-backed workloads Hands-on experience integrating and operating graph databases to support knowledge graphs, relationship-based retrieval, or generative AI applications Bachelor's degree in computer science, Artificial Intelligence, or a related field, or equivalent professional experience Experience deploying models for low-latency, high-throughput inference using frameworks such as vLLM and other GPU-based model-serving toolsExperience with distributed training, GPU optimization, and GPU computing technologies such as CUDA and RAPIDS Why Fisher Investments: We work for a bigger purpose: bettering the investment universe. We take great pride in our inclusive culture, our learning and development framework customized for every employee, and our Great Place to Work Certification. It's the people that make the Fisher purpose possible, and we invest in them by offering exceptional benefits like: 100% paid medical, dental and vision premiums for you and your qualifying dependents A 50% 401(k) match, up to the IRS maximum 20 days of PTO, plus 10 paid holidays Family Support programs including 8 week Paid Primary Caregiver Leave, $10,000 fertility, family forming, and hormonal health assistance, and back-up child, adult, and elder care This is an in-office role. Based on your role, tenure, and performance eligibility you may have the opportunity to participate in our hybrid work from home program. This program is subject to change. FISHER INVESTMENTS IS AN EQUAL OPPORTUNITY EMPLOYER

About The Role The role owns the infrastructure that turns machine learning models into reliable, production systems. This means designing CI/CD pipelines for ML, automating training and deployment workflows, and building the observability layer that catches model drift before it impacts users. The team supports data scientists and ML engineers across the organization - anyone shipping a model depends on the platforms and tooling this role builds. The work spans Kubernetes-based serving infrastructure, experiment tracking, feature stores, and GPU resource orchestration. Key Responsibilities Design and maintain CI/CD pipelines for ML workflows using tools like GitHub Actions, Airflow, or Kubeflow, enabling safe automated model releases Build and operate model serving infrastructure on Kubernetes (KServe, Seldon, or Triton) supporting both real-time and batch inference at scale Implement monitoring and alerting for production models: data drift detection, latency SLAs, prediction quality dashboards using tools like Evidently or Prometheus Manage ML platform tooling - experiment tracking (MLflow, W&B), model registries, and feature stores - and drive adoption across ML teams Optimize GPU utilization and cloud costs across training and inference workloads (AWS, GCP, or Azure), including autoscaling and spot instance strategies Automate data pipeline orchestration and ensure reproducibility of training runs through versioned datasets, code, and configs Partner with ML engineers and data scientists to debug production issues, reduce deployment friction, and define platform roadmaps What We Are Looking For 3-6 years of experience in MLOps, DevOps, or ML engineering, with at least 2 years supporting ML systems in production Strong proficiency with Kubernetes, Docker, and infrastructure-as-code (Terraform) in a cloud environment (AWS, GCP, or Azure) Hands-on experience with ML workflow tools: MLflow, Kubeflow, Airflow, or Vertex AI Pipelines Solid Python and/or Go skills; comfort building internal tooling and APIs Experience with model serving frameworks and inference optimization (ONNX, Triton, vLLM, or TensorRT) BS in Computer Science, Engineering, or equivalent practical experience Bonus: Experience with LLM deployment at scale, distributed training infrastructure (Ray, Spark), or FinOps/GPU cost optimization; contributions to open-source MLOps tooling

Overview It is an exciting time to join Fisher Investments as we expand our Machine Learning capabilities to support our international growth. We are looking for a Senior MLOps Engineer to build the infrastructure, pipelines, and operational practices that bring machine learning and generative AI solutions from experimentation into reliable, secure, and scalable production services. The Opportunity: As a Senior MLOps Engineer, you will build, deploy, and operate machine learning and generative AI solutions in enterprise environments. Working closely with AI leads, ML engineers, and platform teams, you will turn experimental workflows into production-ready services and establish the operational practices needed to support them. You will report to the AI Team Leader, Technology Innovation. The Day-to-Day: Design, build, and operate end-to-end data and ML pipelines on Azure and Databricks, including ingestion, validation, feature engineering, model training, fine-tuning, evaluation, and deployment Build and maintain CI/CD workflows for application code, model artifacts, prompt templates, retrieval and context configurations, evaluation datasets, and infrastructure Operationalize retrieval-augmented generation (RAG) and context engineering workflows, including document ingestion, chunking, embedding generation, indexing, retrieval, context selection and assembly, and evaluation of retrieval and response quality Collaborate with ML engineers, data engineers, and the AI Lead to translate experimental training, fine-tuning, evaluation, and inference workflows into reproducible, production-ready systems Develop and maintain production-grade APIs and microservices using Python and FastAPI to expose model inference and integrate AI capabilities into enterprise applications Deploy, operate, and scale model-serving endpoints and containerized inference services using Azure-managed services, Docker, and Kubernetes to workload requirements Provision and manage cloud and platform resources through infrastructure as code, ensuring consistent, repeatable, and auditable environment configurations Implement automated testing and release quality gates for application code, data quality, model performance, retrieval quality, AI safety, and deployment readiness Establish model and artifact versioning, experiment tracking, and deployment traceability to support reproducibility and troubleshooting Monitor and improve model quality, data and retrieval pipeline reliability, inference latency, throughput, service availability, and infrastructure cost efficiency Partner with infrastructure, security, and governance teams to implement appropriate access controls, auditability, and operational safeguards Your Qualifications: 10+ years of experience building data-driven software solutions, including 5+ years of hands-on machine learning engineering experience 8+ years of Python development experience, including building and maintaining production services, APIs, or data pipelines Demonstrated experience deploying and operating machine learning or generative AI solutions in production Experience with Databricks, including Delta Lake, Auto Loader, Workflows, Feature Engineering, and deployment automation using Databricks Asset Bundles Hands-on experience building CI/CD pipelines and implementing automated testing and deployment workflows for data and ML systems Hands-on experience with cloud-native AI infrastructure and related technologies, including Azure Foundry, Azure Kubernetes Service, Docker, and GPU-backed workloads Hands-on experience integrating and operating graph databases to support knowledge graphs, relationship-based retrieval, or generative AI applications Bachelor's degree in computer science, Artificial Intelligence, or a related field, or equivalent professional experience Experience deploying models for low-latency, high-throughput inference using frameworks such as vLLM and other GPU-based model-serving toolsExperience with distributed training, GPU optimization, and GPU computing technologies such as CUDA and RAPIDS Compensation: $130,000 - $185,000 base salary per year in the state of WA. New hires should expect to start at the lower end of the range depending on experience Eligible for a discretionary bonus based on firm and individual performance Why Fisher Investments: We work for a bigger purpose: bettering the investment universe. We take great pride in our inclusive culture, our learning and development framework customized for every employee, and our Great Place to Work Certification. It's the people that make the Fisher purpose possible, and we invest in them by offering exceptional benefits like: 100% paid medical, dental and vision premiums for you and your qualifying dependents A 50% 401(k) match, up to the IRS maximum 20 days of PTO, plus 10 paid holidays Family Support programs including 8 week Paid Primary Caregiver Leave, $10,000 fertility, family forming, and hormonal health assistance, and back-up child, adult, and elder care This is an in-office role. Based on your role, tenure, and performance eligibility you may have the opportunity to participate in our hybrid work from home program. This program is subject to change. FISHER INVESTMENTS IS AN EQUAL OPPORTUNITY EMPLOYER

Job Title: AI Prompt Engineer Experience: 10+ Years Location: Whippany , NJ ( 3 days onsite) Full Time Salary OPT EAD Also can Apply Role Overview We are seeking an innovative and detail-oriented AI Prompt Engineer to design, optimize, and evaluate prompts for Generative AI and Large Language Model (LLM) applications. The ideal candidate will work closely with business stakeholders, data scientists, AI engineers, and product teams to develop high-quality prompts that improve AI accuracy, reliability, and user experience across enterprise use cases. Key Responsibilities Design, develop, test, and refine prompts for LLMs such as GPT /Claude . Create prompt engineering best practices for enterprise applications. Evaluate model outputs and continuously optimize prompts for accuracy, relevance, safety, and performance. Develop prompt libraries, prompt chains, and AI agent workflows. Work with RAG (Retrieval Augmented Generation), vector databases, and knowledge management systems to improve contextual responses. Monitor AI application performance and implement prompt improvements based on user feedback. Document prompt engineering methodologies, testing results, and governance standards. Required Skills Strong understanding of Generative AI, LLMs, and Prompt Engineering concepts. Hands-on experience with OpenAI/ Anthropic Claude or similar AI platforms. Knowledge of prompt patterns such as: Zero-shot Few-shot Chain-of-Thought (CoT) Tree-of-Thought (ToT) ReAct Role-based prompting Experience with Python and AI development frameworks. Familiarity with any of the frameworks like LangChain, LangGraph, LlamaIndex, Semantic Kernel, or equivalent frameworks. Understanding of RAG architectures and vector databases such as Pinecone etc Strong analytical and problem-solving skills. Excellent communication and documentation abilities.

Build your big career with the firm that does Big Law, Better . McDermott Will & Schulte is a leading global law firm that brings together more than 1,700+ lawyers and 1,400 business professionals. We celebrate excellence, collaboration, and community and have been recognized as a top workplace by USA Today, Fortune , The American Lawyer, Vault and others. We are also certified by Great Place to Work. At McDermott, we don't just invest in your future, we accelerate your career – wherever it may lead. That includes supporting you both in and outside of the office. With Us, You'll Find A firm where everyone belongs: Our award-winning culture prioritizes warmth and authenticity — we encourage you to be yourself! Enthusiasm for all perspectives: We're smarter and stronger when everyone has a voice and a seat at the table. We welcome unique viewpoints and ideas, and we make opportunities for you and your career to thrive. Support to feel your best and do your best: Wellness is integral to building a successful career and a rich life. That's why our benefits program supports your physical, emotional, mental, and financial health, with an emphasis on work-life balance. Real rewards for real work: We offer generous compensation packages that recognize hard work and excellence. Job Description Position Summary: Are you a Product Manager, Pre-Sales Engineer, or Business Analyst who lives and breathes AI? This role was built for you. McDermott, Will & Schulte LLP is among the most ambitious firms in the world when it comes to AI — and we're just getting started. We're building a purpose-built AI capability inside the firm: intelligent applications, agentic workflows, and deep integrations that are transforming how our attorneys and staff professionals work and how we serve clients. The Applied AI Solutions Analyst sits at the center of that effort. You won't hand requirements to a dev team. You'll discover opportunities, design solutions, and build them yourself using the most advanced AI tools available. What You'll Do Partner with attorneys and operational leaders to surface workflow pain points and translate them into AI use cases Design and build AI solutions using state-of-the-art AI foundation platforms — from conversational tools to full document automation Orchestrate agentic workflows that autonomously handle multi-step legal and business processes via integration frameworks and APIs Use prompting to engineer bespoke applications and solutions with high-quality output Integrate AI solutions with M365 applications, Enterprise Data Warehouse, the firm's Document Management System and other enterprise applications Run iterative feedback loops with stakeholders; validate solution designs and maintain clear documentation throughout delivery Monitor the LLM landscape and bring actionable AI innovations back to the team TECHNOLOGIES Leading AI Foundation Models Agentic Frameworks Vector Store(s) Enterprise Data Platform Agentic Workflows MCP REST APIs Azure iManage SharePoint Microsoft 365 Git What You Bring 3+ years delivering software-based solutions in a Business Analyst, solutions, or technical product role Demonstrated AI building experience — delivered AI tools, workflows, or agents professionally or personally Deep prompt engineering skill; proficiency with at least one leading AI foundation platform API integration experience — REST, JSON, and cloud environments (Azure preferred) Excellent communication skills — can explain model behavior to a managing partner BS in Computer Science, Information Systems, Engineering, or equivalent experience Preferred Experience with agentic frameworks, tool-use chains, or autonomous agent orchestration Hands-on experience with AI-assisted development tools and agentic workflow frameworks Exposure to legal industry workflows — matter management, KM, or client delivery Familiarity with responsible AI and data governance in regulated environments WHY MWS Executive-sponsored AI program — one of the most ambitious in global law Build with frontier AI tools on problems that genuinely matter Remote-first, collaborative team that ships fast and celebrates impact Career-defining work at the frontier of legal AI transformation Successful candidates will be provided with outstanding career opportunities and will receive a competitive total rewards package with the opportunity to earn performance-based bonuses. Target Hiring Range $93,000 - $169,000 Please note that quoted salary ranges are not guarantees of what final salary offers may be. Base pay is based on market location and may vary depending on job-related knowledge, skills, experience, and geographic location. Base pay is only one part of the Total Rewards that MWS provides to compensate and recognize our staff professionals for their work. Full time positions are eligible for a discretionary bonus and a comprehensive benefits package. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Physical Demands And Work Environment The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Physical Demands While performing the duties of this job, the employee is required to sit, use hands, reach with hands and arms, stoop, talk and hear Employee must occasionally lift up to twenty (20) pounds Work Environment Typical indoor office environment Disclaimer The above statements are intended to describe the general nature and level of the work being performed by people within this classification. They are not intended to be an exhaustive list of all responsibilities, duties and skills required of employees assigned to this job.