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This job posting is anticipated to remain open for 30 days, from 19-Oct-2026. The posting may close early due to the volume of applicants. Join a financial services firm where your contributions are valued. Edward Jones is a Fortune 500 company where people come first. With over 9 million clients and 20,000 financial advisors across the U.S. and Canada, we're proud to be privately-owned, placing the focus on our clients rather than shareholder returns. Behind everything we do is our purpose: We partner for positive impact to improve the lives of our clients and colleagues, and together, better our communities and society. We are an innovative, flexible, and inclusive organization that attracts, develops, and inspires performance excellence and a sense of belonging. People are at the center of our partnership. Edward Jones associates are seen, heard, respected, and supported. This is what we believe makes us the best place to start or build your career. View our Purpose, Inclusion and Citizenship Report . Fortune 500, published June 2024, data as of December 2023. Compensation provided for using, not obtaining, the rating. Overview: Edward Jones is seeking a Senior Security Architect to lead strategic alignment of infrastructure security tools, processes, and capabilities across all security domains. This role is pivotal in ensuring that security architecture supports the firm's broader technology and business strategy, including cloud transformation, operational resilience, enterprise encryption standards, and risk reduction. The ideal candidate will be a seasoned security leader with deep expertise in cryptography, governance, and architecture. They will own and maintain key security templates and artifacts, provide expert guidance during reviews, and drive alignment with enterprise architecture and other technical organizations. What You'll Do: Own and maintain templates for security artifacts (e.g., Patterns, Baseline Control Documents, Procedures, Architecture Decision Records, and Standards) and manage a repository of completed, approved versions. Provide expert infrastructure security guidance and oversight during security reviews and the development of security artifacts. Define and govern infrastructure security standards, including cryptographic controls for data in transit and at rest across hybrid environments. Provide architectural guidance on encryption, key management, and certificate usage as part of security reviews and standards development. Lead strategic alignment of infrastructure security capabilities and processes with enterprise architecture and other technical domains. Serve as a senior technical leader across the Information Security Division, influencing infrastructure security strategy and execution. Collaborate with cross functional teams to ensure infrastructure security solutions are scalable, resilient, and aligned with cloud native and hybrid environments. Monitor industry trends and emerging threats to inform infrastructure security strategy and tooling. Engage with vendors and external partners to evaluate solutions, negotiate contracts, and represent the firm in technical forums. Drive maturity of infrastructure security practices across cloud platforms (Azure, OCI, AWS, GCP) and on premises environments. What Experience You'll Need: Bachelor's degree in Computer Science, Engineering, or related field; or equivalent work experience. 10+ years of experience in infrastructure security architecture within a complex, matrixed organization. Deep understanding of infrastructure security domains including network security, endpoint protection, identity and access management, servers and containerization, applications, and cloud security, including encryption, key management, and certificate-based controls. Experience designing and implementing secure infrastructure architectures across hybrid cloud environments. Experience defining or applying enterprise encryption standards, including data-at-rest, data-in-transit, and key lifecycle management requirements. Extensive experience in securing endpoint devices (e.g., laptops, mobile devices, servers) through technologies such as EDR/XDR, antivirus, device hardening, and policy enforcement. Familiarity with security frameworks and standards (e.g., NIST, CIS, ISO 27001). Strong knowledge of security tooling such as SIEM, vulnerability management, configuration management, and cloud-native security services. Proven ability to lead cross-functional initiatives and influence technical direction at the enterprise level. Excellent communication and interpersonal skills; able to build trust and credibility across technical and business teams. Ability to assess and integrate proposed standards and technologies across interdependent systems. Demonstrated experience in risk management and incident response within infrastructure environments. What Could Set You Apart: Relevant security certifications such as CISSP, CISM, CCSP, advanced network vendor certifications, ISC2 certifications, or SANS certifications Experience supporting advanced encryption solutions, certificate management, and post-quantum readiness Experience securing AI/ML systems, including model governance, data pipeline protection, and secure deployment strategies Technology background in the financial sector Understanding of various regulatory requirements and laws, including but not limited to NYDFS Cybersecurity Regulations and FINRA Regulations Candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office four days per week. At Edward Jones, we are building a place where everyone feels like they belong. We're proud of our associates' contributions to the firm and the recognitions we have received. Check out our U.S. awards and accolades: Insights & Information Blog Postings about Edward Jones Check out our Canadian awards and accolades: Insights & Information Blog Postings about Edward Jones Edward Jones does not discriminate on the basis of race, color, gender, religion, national origin, age, disability, sexual orientation, pregnancy, veteran status, genetic information or any other basis prohibited by applicable law. Edward Jones' compensation and benefits package includes medical and prescription drug, dental, vision, voluntary benefits (such as accident, hospital indemnity, and critical illness), short- and long-term disability, basic life, and basic AD&D coverage. Short- and long-term disability, basic life, and basic AD&D coverage are provided at no cost to associates. Edward Jones offers a 401k retirement plan, and tax-advantaged accounts: health savings account, and flexible spending account. Edward Jones observes ten paid holidays and provides 15 days of vacation for new associates beginning on January 1 of each year, as well as sick time, personal days, and a paid day for volunteerism. Associates may be eligible for bonuses and profit sharing. All associates are eligible for the firm's Employee Assistance Program. For more information on the Benefits available to Edward Jones associates, please visit our benefits page .

Job Description Job Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . Role Overview CoreWeave is seeking an experienced Network Security Engineer for our network security initiatives to help protect our rapidly scaling cloud infrastructure hosting high-performance AI workloads. In this role, you will architect and implement cutting-edge security solutions focused on network security across our data center perimeter and internal networks. You will work in a high-scale environment (CoreWeave is positioning itself as the next major hyperscaler) and ensure our network and services remain secure, resilient, and trustworthy. The ideal candidate is a seasoned security expert (3-7 years experience) with a deep understanding of modern cloud/network architectures and a passion for educating cross-functional partners in a security-first culture. Key Responsibilities Network Security Architecture: Design and deploy robust security measures across the network perimeter and internal fabrics (e.g., firewalls, IPS/IDS, segmentation, configuration health, best practicies) to protect CoreWeave's globally distributed hyperscale infrastructure hosting large-scale AI workloads. Ensure that all entry points, high-speed interconnects, and cloud services are fortified against unauthorized access and attacks. Zero Trust Implementation: Champion a Zero Trust security model across CoreWeave's network and cloud environments. Architect solutions that enforce least-privilege access, continuous verification, and micro-segmentation of services - ensuring no implicit trust at any layer. Security Monitoring & Incident Response: Establish robust monitoring for network security events and potential breaches across high-density AI cluster networks. Proactively identify vulnerabilities or indicators of compromise, and coordinate incident response efforts for any network-related security incidents to minimize impact. Cross-Functional Collaboration: Work closely with Networking, Infrastructure, and Software Engineering teams to integrate security best practices into architecture, deployments, and processes. Provide expert guidance during design and code reviews to ensure new services and features are secure by design. AI Infrastructure & Interconnect Security: Secure high-density GPU clusters and ultra-low latency backend fabrics. Implement security controls to protect customer data in transport. Leadership & Education: Contribute to security initiatives and foster a security-first mindset across the organization. Educate partners in other teams on network security principles, conduct security training sessions, and lead by example in following and enforcing security policies and standards. Policy Enforcement: Help refine, implement, and enforce security policies and standard operating procedures for a highly scalable, distributed environment. Regularly review network and cloud security postures, ensuring compliance with industry best practices and adapting policies as the company grows. Required Qualifications Experience: 3-7 years of hands-on experience in network security engineering, with exposure to large-scale cloud or hyperscaler environments. Proven track record protecting complex, distributed systems at scale. Network Security Expertise: Deep understanding of network security principles and technologies - including experience mitigating DDoS attacks, securing high-speed data center fabrics, defending against web exploits, and implementing zero trust methodologies. Cloud & Network Architecture: Strong conceptual and practical knowledge of securing modern cloud and network architectures. Proficient in network protocols (TCP/IP, DNS, BGP, HTTP/S, etc.), network segmentation, VPNs, and firewall configurations. Experience securing cloud platforms (AWS, GCP, Azure or custom hyperscale infrastructure) and containerized environments. Security Contributions: Demonstrated ability to contribute key input to security initiatives and projects end-to-end. Experience educating peer engineers and partner teams, with a talent for instilling a security-first mindset across diverse teams. Cross-Team Collaboration: Excellent communication and collaboration skills. Ability to work closely with cross-functional teams (Networking, Infrastructure, DevOps/SRE, Software) to design and implement security solutions that enable the business while protecting critical assets. Policy and Compliance: Experience in implementing, refining, and enforcing security policies and controls for highly scalable, distributed systems. Familiarity with industry standards and compliance frameworks (e.g., NIST, ISO 27001, SOC2) and how they apply in a cloud environment. Preferred Skills & Qualifications Hyperscaler Environment: Prior experience working in a top-tier cloud provider or hyperscale environment is a strong plus (FAANG or similar organization). Understanding of the unique security challenges at massive scale. Zero Trust & Identity: Experience designing zero trust networks, including identity and access management (IAM) systems, single sign-on, multi-factor authentication, and network access control solutions. Automation & Scripting: Proficiency in scripting or programming (Python, Go, or similar) for automating security tasks, integrating security tools, and handling infrastructure-as-code. Experience with DevSecOps practices and CI/CD pipeline security is a plus. Security Certifications: Relevant certifications such as CISSP, CCSP, GIAC (GSEC, GCIH, etc.), or cloud security certifications (AWS/Azure Security Specialty) are advantageous, demonstrating a strong foundation in security best practices. Continuous Learning: Active involvement in the security community or contributions to open-source security projects. Up-to-date knowledge of the latest threats, vulnerabilities, and mitigation strategies in network and cloud security. The base salary range for this role is $153,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates 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. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158 . click apply for full job details

Job Description Job Description Description: Who We Are Aptima is a technological leader in the national security industry. Our mission is to drive the future of national security by engineering scalable solutions that fuse technological innovation with human potential to transform how individuals and teams train, develop, and perform in mission-critical environments. Our culture is rooted in our core values, which have evolved over time and our employees have embraced: Integrity, Ingenuity, Excellence, Respect, Engagement, Teamwork . At our core, Aptima researches, develops, and innovates within an area that engineering firms largely ignore, the human component. To impact the world in meaningful ways, you must bring those innovations to light, and that is precisely what we do. Key Responsibilities Advanced Research Engineering Architect and develop advanced software systems that support cutting-edge AI research and experimental prototypes. Collaborate closely with scientists and researchers to translate novel algorithms, models, and concepts into functional prototype systems. Design and implement flexible research platforms that enable rapid experimentation, evaluation, and iteration. Contribute to the development of innovative AI-enabled capabilities across domains such as human-AI teaming, synthetic media analysis, influence modeling, and agent-based systems. Prototype System Architecture Lead the design and implementation of software architectures for complex research prototypes, including APIs, data pipelines, model integration layers, and evaluation frameworks. Build modular and extensible systems that allow Aptima researchers and external collaborators to rapidly integrate new models, analytics, and experimental capabilities. Balance rapid research iteration with maintainable and well-structured engineering practices. Support experimentation with emerging AI approaches including agentic systems and multimodal analytics. AI Systems Development and Deployment Implement and integrate machine learning and AI models within experimental systems and research testbeds to support internal evaluation and integration with external systems for large-scale evaluation experiments and demonstrations. Develop workflows that support model training, evaluation, experimentation, and comparative analysis. Develop containerized research environments using tools such as Docker to support reproducible experimentation. Assist in preparing prototype systems for technology demonstrations with sponsors such as DARPA, DoW laboratories, and operational partners. Technical Leadership & Collaboration Provide technical leadership on R&D projects, helping shape system architectures and technical approaches, and collaborating with engineering leadership across the company. Work across multidisciplinary teams including AI researchers, cognitive scientists, and engineers. Mentor junior engineers and research staff on software architecture, engineering practices, and scalable research infrastructure. Participate in customer engagements, technical reviews, demonstrations, and collaborative research activities. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI/ML, or a related technical field (or equivalent practical experience). Ability to obtain and maintain a U.S. Government security clearance. 6+ years of professional software engineering experience developing complex technical systems. Strong proficiency in Python and modern software engineering practices. Experience building complex research prototypes or experimental systems. Familiarity with AI/ML technologies and integrating models into software systems. Experience architecting modular software systems and designing APIs or service-based architectures. Hands-on experience with containerization (e.g., Docker) or reproducible research environments. Ability to work in ambiguous, exploratory environments and translate evolving research ideas into working software. Strong communication skills and ability to collaborate with researchers, engineers, and external partners. Willingness to travel to support integration, demonstration, or customer activities. Nice to Have Experience supporting DARPA, DoW, or other government-sponsored research programs. Familiarity with large language models, agentic AI systems, or multimodal machine learning. Experience building research testbeds, evaluation frameworks, or simulation environments. Background in distributed systems, high-performance computing, or scalable experimentation infrastructure. Experience contributing to technical publications, research demonstrations, or conference submissions. Exposure to cloud computing platforms (AWS, Azure, GCP) or hybrid research infrastructure. Interest in working at the intersection of advanced AI research, national security applications, and emerging technologies. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or any other status protected by applicable national, federal, state or local law.

Job Description Job Description Title: PEGA System Architect Location: Trenton, NJ (Hybrid) Duration: 6 months PEGA Certified Lead System Architect will lead multiple teams consisting of developers, subject matter experts and stakeholders to convert the business requirements, business process flow, use cases into fully functional application Note: In Person Interview Only Position is Hybrid - 2 days onsite, 3 days remote. Please advise candidates this is not negotiable now or in the future. Local Candidates Preferred. Must have Minimum 5 years of experience POST PEGA Lead System Architect Certification and a Minimum of 8 years work experience Post PEGA SSA Certification. A Very strong IT technical background is required. 4-year college degree is also required. Candidate must have: The Lead System Architect will be responsible for mentoring and empowering the application development teams. Meets with end users and technical staff of all types to gather and document business and system requirements. Proposes comprehensive solutions based on business and technical requirements. Develops and I or engineers' user interface, service tier, data tier components, infrastructure or security for PRPC. Develops standards, repeatable processes, and reusable components. Assists in project planning, including developing of timelines, composition of technical teams and leveling of resources. Mentors business and technical team members on processes and standards to promote consistency and improve productivity. Assists in the development and review of technical deliverables on projects. Experience RELEVANT IT WORK EXPERIENCE: 12 or more yrs. A minimum of 5 years of PEGA Lead Development A minimum of 8 years of PEGA SSA Development A minimum of 5 Use Case Development A minimum of 5 Years DB2, SQL Server Broad experience in an organization that develops and delivers software to customers Managing software functional requirements throughout the SDLC Participation in an Agile software development environment Working with users/stakeholders and Lead Business Architect to understand and capture software solution needs Hands-on configuration and deployment of software solutions at the enterprise level. Documentation of requirements, test cases, and training material Role Responsibilities: Acts as the liaison between Lead Business Architect andITO PEGA teams and have ability to translate between technical andnon-technical team members. Works closely with Business Product Owners and Stakeholders, Lead BusinessAnalysts to translate the business requirements to application. A wide degree of creativity and initiative is expected. Understands the business vision and translates to Technologyimpacts/solutions. Proactively identifies and mitigates risk to projects. Performs multiple roles as needed during the course of the project. Strong interpersonal, communication and relationship skills. Solid experience with PEGA business process modeling and change management Solid experience with functional design and developments. Partner with internal stakeholders and customers to understand businessproblems to be solved Capture functional software requirements and translateinto user stories Participate in Agile software development sprints and sprint planningactivities Lead agile teams and processes as necessary. Define solution acceptance criteria and assist in software testing Publish software release notes and maintain other product documentation Mentor Software Development team members as needed. Integrate best practices into current PEGA development procedures Lead client workshops around software products and processes Participate in and provide support to customer success teams Other duties as assigned Very strong IT technical background is required. Design and build Pega case types, workflows, data models, UI, integrations, and reusable components. Apply Pega guardrails, standards, and performance best practices. Develop Pega solutions using Pega GenAI, Process AI, and other AI capabilities. Lead AI-enabled architecture using Generative AI, RAG, and agent-based orchestration. Design secure and scalable integrations using APIs, microservices, and event- driven patterns. Lead legacy application modernization initiatives. Work with cross-functional teams to deploy solutions on AWS, Azure, GCP, and AWS Bedrock. Provide architectural guidance to ensure scalability, security, compliance, maintainability, and enterprise alignment. Required Skills: PEGA Smart BPM PEGA PMF PEGA Direct Capture of Objectives DCO Use Case design and Development Database - DB2 and Stored Procedures Senior System Architect LSA Certification Experience in mentoring team members Software development Life cycle and Agile Methodology 4-year college degree or equivalent technical study Strong Web Design and application development Converting business into PEGA process flow

Job Description Job Description Company Description Talan is an international group that supports its clients in their end-to-end Data & AI transformation by combining management consulting with technological expertise. With over 6,000 employees across five continents, we accelerate our clients' transformations through long-term partnerships, creating measurable and sustainable impact. Our value proposition is built on a structured innovation ecosystem: 2,500 Data & AI experts, proprietary solutions built on advanced models, and an applied research, experimental development, and innovation laboratory. In Americas, our multidisciplinary teams bring over 30 years of experience helping business leaders across key industries achieve measurable performance and strong ROI, designing, building, and scaling solutions that enable companies to grow more efficiently. Job Description Location: Chicago (Hybrid - at least 3 days onsite/week) This position is open to candidates who are currently located in the Greater Chicago area. Visa Sponsorship: We offer sponsorship under specific treaty-based U.S. work visas, including TN and E-2 (for eligible Canadian, Mexican, and French citizens). We do not support or transfer other visa types (e.g., H-1B). One of our clients, a leading software company operating in the telecommunications and network optimization sector, is seeking a Client Solutions Software Engineer to join its technical team. This role focuses on software deployment, system integration, infrastructure support, and customer-facing technical activities within enterprise environments. Role and responsibilities Deploy, configure, and upgrade software solutions in customer environments. Design and recommend optimal system architectures and deployment models. Provide technical support related to system integration, databases, licensing, and infrastructure. Deliver administration and technical training to customers. Develop and maintain automation scripts for deployment, configuration, and troubleshooting activities. Support pre-sales and post-sales technical engagements, including evaluations, proof of concepts, installations, and production support. Collaborate with internal engineering, support, and customer success teams to ensure successful implementations. Participate in automation and process optimization initiatives. Technical Environment Windows and Linux environments Virtualization technologies (VMware, Citrix) Databases: Oracle, SQL Server, PostgreSQL, MongoDB Scripting & Automation: PowerShell, Python, Bash Cloud Platforms: AWS, Azure, GCP Containerization technologies such as Docker and Kubernetes (nice to have) Qualifications Master's degree in Computer Science, Information Systems, Software Engineering, or a related field. 2-4 years of experience in system administration, software deployment, infrastructure support, or database administration. Strong troubleshooting and problem-solving skills. Experience working with virtualized environments. Knowledge of cloud platforms, particularly AWS. Scripting experience, ideally with PowerShell, Python, or Bash. Excellent communication skills and ability to interact directly with customers. Ability to work across infrastructure, software, database, and cloud-related topics. Preferred Qualifications Experience with enterprise software deployment and support. Knowledge of automation platforms and workflow orchestration. Familiarity with Docker and Kubernetes. Previous customer-facing or consulting experience. Company's Benefits At Talan, we invest in our employees' well-being and empower them with benefits, including: Competitive salary between USD $65,000 - US$75,000 401(k) retirement plan with company matching 15 days of paid vacation per year at hire and up to 27 according to seniority (annual untaken vacation days are cashed out) 8 paid holidays + 5 sick days + 2 personal days per year ️️ Company health, dental, and vision insurance plans + FSA Voluntary STD and LTD Commuter/transit benefits All your information will be kept confidential according to EEO guidelines.

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated AI Data Solutions Scientist in the Technology organization at USAA, you will work within our innovative Data Science team and collaborate cross-functionally with our architecture, engineering, and product partners to transform our operations and experiences while producing actionable insights to drive our association forward. As a member of our dynamic community of problem-solvers, you will tackle a broad and evolving spectrum of business targets to provide outstanding impacts for our membership through scaled solutions and cloud technologies, leveraging both structured and unstructured data through traditional pillars of operations research such as simulation, optimization, and machine-learning techniques, as well as a heavy emphasis on cutting-edge technologies with generative AI, large/small language models, and advanced agent frameworks. This team is the backbone of the next generation of AI modeling at USAA, and we hope you join us on the frontier! We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, or Phoenix, AZ. Relocation assistance is not available for this position. What you'll do: Gather, interpret, and manipulate structured and unstructured data to enable advanced analytical solutions for the business. Develop scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Select the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develop and deploy models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assess business needs to propose/recommend analytical and modeling projects to add business value. Work with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Build and maintain a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translate complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manage project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develop best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintain expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serve as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participate in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, Computer Science, Statistics, Science, Engineering, or quantitative field; OR 4 years of relevant education and/or experience; and 6+ years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, science and engineering, ai, or other similar quantitative discipline and 4+ years of experience in predictive analytics or data analysis. 4+ years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4+ years of experience in Python for performing statical analysis and/or building and scoring AI/ML models Experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics and understanding real-world constraints such as latency, cost, and reliability in AI solution designs. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts across risk stripes, including experience in the documentation and statistical validation of models for risk management. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Expertise in LLMs and agentic systems development with frameworks such as LangChain/LangGraph, AgentCore, VertexAI, MCP, or others, with proven experience including prompt engineering, tuning and post-training techniques, multi-agent systems, agent optimization and tool use, RAG and context optimization, and observability and monitoring. MLOps Integration experience in facilitating engineering implementation of production scaled AI solutions in partnership with dedicated AI Engineers in cloud environments such as AWS or GCP. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. Experience guiding and mentoring junior technical staff in business interactions and model building. What sets you apart: Financial services, insurance, banking, or other highly regulated industry experience. Experience with cloud-native application development and modernization initiatives. US military experience through military service or a military spouse/domestic partner Compensation range: The salary range for this position is: $143,320 - $273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated AI Data Solutions Scientist in the Technology organization at USAA, you will work within our innovative Data Science team and collaborate cross-functionally with our architecture, engineering, and product partners to transform our operations and experiences while producing actionable insights to drive our association forward. As a member of our dynamic community of problem-solvers, you will tackle a broad and evolving spectrum of business targets to provide outstanding impacts for our membership through scaled solutions and cloud technologies, leveraging both structured and unstructured data through traditional pillars of operations research such as simulation, optimization, and machine-learning techniques, as well as a heavy emphasis on cutting-edge technologies with generative AI, large/small language models, and advanced agent frameworks. This team is the backbone of the next generation of AI modeling at USAA, and we hope you join us on the frontier! We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, or Phoenix, AZ. Relocation assistance is not available for this position. What you'll do: Gather, interpret, and manipulate structured and unstructured data to enable advanced analytical solutions for the business. Develop scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Select the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develop and deploy models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assess business needs to propose/recommend analytical and modeling projects to add business value. Work with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Build and maintain a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translate complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manage project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develop best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintain expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serve as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participate in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, Computer Science, Statistics, Science, Engineering, or quantitative field; OR 4 years of relevant education and/or experience; and 6+ years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, science and engineering, ai, or other similar quantitative discipline and 4+ years of experience in predictive analytics or data analysis. 4+ years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4+ years of experience in Python for performing statical analysis and/or building and scoring AI/ML models Experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics and understanding real-world constraints such as latency, cost, and reliability in AI solution designs. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts across risk stripes, including experience in the documentation and statistical validation of models for risk management. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Expertise in LLMs and agentic systems development with frameworks such as LangChain/LangGraph, AgentCore, VertexAI, MCP, or others, with proven experience including prompt engineering, tuning and post-training techniques, multi-agent systems, agent optimization and tool use, RAG and context optimization, and observability and monitoring. MLOps Integration experience in facilitating engineering implementation of production scaled AI solutions in partnership with dedicated AI Engineers in cloud environments such as AWS or GCP. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. Experience guiding and mentoring junior technical staff in business interactions and model building. What sets you apart: Financial services, insurance, banking, or other highly regulated industry experience. Experience with cloud-native application development and modernization initiatives. US military experience through military service or a military spouse/domestic partner Compensation range: The salary range for this position is: $143,320 - $273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Genesis10 is currently seeking a Senior Solutions Architect for a contract to hire position with a Regional Financial Institution located in Columbus, OH. Compensation: $88.00 - $98.00 per hour, W2, based on qualifications Position Overview: This role is central to a Commercial Loan Servicing Transformation initiative, where the architect will translate business objectives into secure, scalable, and resilient technology solutions. The ideal candidate will lead solution design across project teams, working closely with Product and Delivery leaders. The position involves significant work with Salesforce, requiring a strong understanding of its functional and architectural components, as well as experience with cloud platforms and AI solutions. Key Responsibilities: Take primary responsibility for the conceptual architecture that delivers business objectives Work with Product teams to understand business goals, determine impacts, and apply enterprise patterns Create the architecture for integrations, ensuring buy-in from impacted teams and completing governance Identify and address architecture risks, dependencies, assumptions, and constraints related to scope, schedule, resources, and technology Define Architecture Strategy to support business segment goals by developing roadmaps Assist business areas in enhancing processes using technology, such as automating manual tasks Analyze current technologies and determine ways to improve Mentor and help build the architecture community, updating and creating standards and patterns Document all solution architecture design and analysis work Primary Requirements: Strong and recent experience of major Salesforce functional and architectural components Clouds (ex. Sales, Service, Agentforce) Platform/Data components (ex. Customer 360, Data 360) Development tools (ex. Apex, Lightning Web Components) Core Data Objects (standard vs custom objects) Experience designing solutions across cloud and SaaS platforms Experience with AI Solutions, including evaluating and incorporating AI capabilities into enterprise solutions Current understanding of best practices regarding system security measures Experience in software engineering and architecture design Exposure to multiple technical environments Agile experience Ability to partner across Product, Delivery, Domain Architecture, and technical SMEs Operates effectively as architecture patterns, governance processes, and tooling evolve Navigates uncertainty and advances work without waiting for every detail to be resolved Desired Skills: Familiarity with GCP (Google Cloud Platform) and AWS is preferred Experience with hands-on AI, using AI-assisted tools to improve architecture processes Banking experience Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description Job Description Description: ABOUT METRC Metrc is the most trusted and experienced provider of cannabis regulatory systems in the United States and is growing extremely rapidly to expand globally. We provide a solution that combines advanced software, radio-frequency identification (RFID) technology, a dedicated customer-support team, and a secure database to track and trace cannabis from growth, harvest, and processing to testing, transport, and sale. As Director of Data Platform, you will have the opportunity to thrive in a fast-moving, fluid environment, and be passionate about implementing change, great processes and procedures in a commercial setting at a fast-growing technology company. GENERAL OVERVIEW The Director of Data Platform will lead a team of two data engineers and four BI specialists to deliver a robust data platform that serves external customers and internal cross-functional teams (Sales, Customer Success, Senior Leadership, etc.). This role will oversee the end-to-end data ecosystem, including our data lake (Snowflake, Databricks, Domo, Tableau) and potentially real-time transactional databases (SQL Server, PostgreSQL, MongoDB). As a hands-on leader, you will drive technical innovation, ensure regulatory compliance, and align data initiatives with business?objectives?in a fast-paced, regulated environment.? KEY RESPONSIBILITIES Core duties and responsibilities include the following. Company Culture and Values Embodies?Metrc's?Core Values? Strategic Leadership Define and execute a comprehensive data strategy to support external customers (state regulators, cannabis businesses) and internal teams (Sales, Customer Success, Senior Leadership).? Partner with the CTO and cross-functional leaders to align data initiatives with business goals, ensuring scalability, performance, and compliance.? Drive the transition of the Data team to serve both internal and external data needs, delivering dashboards, reports, and analytics solutions.? Data Platform Management Oversee the architecture, development, and maintenance of the data lake (Snowflake, Databricks) and BI tools (Domo, Tableau, and alternatives).? Potentially manage real-time transactional databases (SQL Server, PostgreSQL, MongoDB), ensuring high availability, performance, and security.? Implement data governance, quality, and compliance frameworks to meet regulatory requirements in the cannabis industry. Team Leadership Lead, mentor, and grow a team of data specialists, fostering a culture of collaboration, innovation, and accountability.? Identify?skill gaps and drive hiring or upskilling initiatives to support expanded responsibilities (e.g., database administration, advanced analytics).? Technical Excellence Design and?optimize?data pipelines, ETL processes, and analytics workflows to support real-time and batch processing needs.? Ensure seamless integration of transactional and analytical data systems to provide a unified view for stakeholders.? Stay current with industry trends and emerging technologies to enhance the data platform's capabilities. Stakeholder Collaboration Work closely with external customers to deliver compliant, high-quality data products (dashboards, reports, APIs).? Partner with internal teams to develop actionable insights, enabling data-driven decisions across Sales, Customer Success, and Senior Leadership.? Collaborate with external regulatory and licensing partners to support compliance, data quality, and business objectives. Communicate complex technical concepts to non-technical audiences, ensuring alignment and buy-in.? Additional Responsibilities May perform other additional duties and responsibilities as assigned. Requirements: QUALIFICATIONS- KNOWLEDGE, SKILLS, & ABILITIES Experience 8+ years of experience in data engineering, data platform management, or related fields, with at least 3 years in a leadership role.? Proven?track record?of building and scaling data platforms in a SaaS or regulated industry (e.g., cannabis, healthcare, finance).? Hands-on experience with data lakes (Snowflake, Databricks) and BI tools (Tableau, Domo, or similar).? Experience with real-time transactional databases (SQL Server, PostgreSQL, MongoDB) is a plus.? Familiarity with regulatory compliance and data governance in highly regulated environments.? Technical Skills Deep?expertise?in data architecture, ETL/ELT pipelines, and data modeling.? Proficiency?in SQL and modern data stack technologies (Snowflake, Databricks, etc.).? Knowledge of database administration (e.g., performance tuning, high availability) for SQL Server, PostgreSQL, or MongoDB is preferred.? Experience with cloud platforms (AWS, Azure, GCP) and data integration tools.? Leadership Skills Strong leadership and mentorship abilities, with experience managing small, high-performing data teams.? Ability to balance strategic vision with hands-on technical execution.? Excellent communication and stakeholder management skills, with the ability to translate business needs into technical solutions.? Education Bachelor's degree in computer science, Data Science, Engineering, or a related field? PHYSICAL DEMANDS AND WORK ENVIRONMENT In-office position Frequently required to sit Frequently required to talk or hear Continually utilize visual acuity to operate equipment, read technical information, and/or use a keyboard and mouse.

Job Description Job Title : Senior Agentic AI Architect Location : Charlotte NC / Dallas TX Job Description: Bachelor's degree or Master's Degree in Computer science, or a related field, with minimum 14+ years of experience. Agentic AI: Multi-Agent Systems, Agent Orchestration, LLM-based application architecture Frameworks: Hands-on experience with LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI or similar GenAI: RAG, Prompt/Context Engineering, Tool Calling, Function Calling, Agent Memory Integration: REST APIs, MCP, event-driven integration, enterprise systems AI Engineering: Vector Databases, Knowledge Graphs, evaluation, observability, guardrails Cloud: Experience building GenAI/Agentic solutions on GCP, Azure or AWS Google ADK: Prior experience not required. Candidate should have strong fundamentals and ability to quickly learn and build using Google ADK. Strong Python/Software engineering and hands-on architecture experience Strong problem-solving and debugging skills. Excellent communication and collaboration skills.

Job Description Job Description Employees in this job function are responsible for developing intelligent programs, cognitive applications and algorithms for data analysis and automation, leveraging various AI techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming Key Responsibilities: 1) Understand business requirements and develop AI algorithms, models and programs to solve complex problems, generate recommendations, extract patterns, make predictions, interpret sensor data (images, sound), orchestrate automation and enable self-service capabilities 2) Perform large-scale experimentation and develop data driven applications that translate data into actionable intelligence 3) Drive innovative applications of Artificial Intelligence tools and techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming 4) Research and optimize AI technologies to enhance efficiency and accuracy of data analysis and create more efficient automation Skills Required: Google Cloud Platform Skills Preferred: N/A Experience Required: Bachelor's or Master's degree in Computer Science, Software Engineering, or related field (or equivalent practical experience). 3 years building production software systems, including 1 2 years on ML/AI or LLM-based applications. Proven experience designing and deploying multi-agent or multi-service architectures in production not just notebooks or demos. As one 2026 hiring analysis puts it, the job is closer to distributed systems engineering with a probabilistic component than it is to ML research or prompt tweaking . Strong Python proficiency, including async/concurrent programming, and experience with backend frameworks (FastAPI, Flask). Hands-on experience with agent orchestration frameworks LangGraph, CrewAI, LlamaIndex, or equivalent for building stateful, multi-step, tool-using agent workflows. Practical experience building RAG pipelines: vector databases (pgvector, Pinecone, Weaviate, or Qdrant), embeddings, chunking strategies, and retrieval evaluation. Cloud deployment experience, ideally Google Cloud Platform (BigQuery, Cloud Run/GKE, Vertex AI, Pub/Sub) or equivalent AWS/Azure services. Strong SQL skills and experience with cloud data warehouses. Containerization and CI/CD experience (Docker, Kubernetes, GitHub Actions/Cloud Build). Experience building evaluation and observability pipelines for LLM/agent systems offline eval sets, LLM-as-judge scoring, and tracing tools (LangSmith, Langfuse, OpenTelemetry, or equivalent) to track task success, latency, and cost. Understanding of LLM safety practices: guardrails, output validation, prompt-injection defense, and safe execution of AI-generated code/SQL (sandboxing, least privilege). Solid software engineering fundamentals: API design, testing, version control, security best practices. Experience Preferred: 1. Experience with cost optimization and model routing designing tiered pipelines that route between low-cost and high-capability models based on task complexity, and modeling per-conversation or per-task cost at scale. 2. Experience deploying agentic systems with human-in-the-loop or multi-checkpoint validation workflows for high-reliability/high-stakes use cases. 3. Experience with automotive, EV charging, IoT, or connected-vehicle telemetry data. 4. Familiarity with Model Context Protocol (MCP) or similar standards for tool/data integration across agents. 5. Prior experience in a startup or 0-to-1 product environment, comfortable with ambiguity and fast-evolving requirements. Education Required: Bachelor's Degree Education Preferred: Master's Degree Additional Information: Hybrid 4 days a week onsite Architect and deploy the production multi-agent orchestration layer (interpreter/orchestrator, NL-to-SQL agent, visualization agent, RCA/RAG agent, report composition agent, notification agent), using modern agent frameworks with state management and checkpointing rather than ad-hoc loops. Design and productionize RAG pipelines (chunking, embeddings, hybrid retrieval, reranking) grounded in approved schemas, engineering documentation, and historical issue records. Own BigQuery integration and enforce safe, least-privilege, validated execution of LLM-generated SQL. Build CI/CD, containerization, and infrastructure-as-code for deploying agent services on GCP (Cloud Run/GKE, Vertex AI). Implement evaluation pipelines and observability/tracing for every agent (golden datasets, LLM-as-judge scoring, regression alerts) so quality is measurable, not assumed. Implement guardrails, prompt-injection defenses, and human-in-the-loop approval checkpoints to ensure correctness and safety before any output triggers downstream action. Design cost/latency optimization strategies, including tiered model routing (cheap filter models vs. high-capability deep-dive models) and caching. Integrate validated outputs with operational systems (Salesforce ticketing, driver/site-manager notifications) and report export pipelines (PDF/HTML/spreadsheet). Collaborate with data scientists to productionize prototypes (anomaly detection, diagnostic agents) into scalable, monitored services. Establish versioning, testing, and safe rollout practices (canary/shadow deployments) for evolving agent logic.

Everpure, Inc. is seeking a Senior System Software Manager to lead the design, delivery, and operations of scalable data and analytics platforms for enterprise clients. You will manage a team of engineers building cloud-native data infrastructure, integrating data pipelines, and optimizing performance, security, and reliability. Partner closely with clients and internal consultants to translate business needs into robust system software solutions, set technical direction, and enforce engineering best practices in an agile, experimentation-friendly environment. Responsibilities Lead and mentor a team of system and data software engineers delivering client projects Architect and oversee implementation of scalable, secure cloud-based data and analytics platforms Collaborate with consultants and clients to translate business needs into technical solutions Define and enforce engineering best practices, code quality, and operational standards Own reliability, performance, and security of production systems Drive roadmap, prioritization, and sprint planning for the platform engineering team Evaluate and introduce modern tools, frameworks, and automation to improve delivery Partner with stakeholders to estimate effort, manage risk, and communicate progress Ensure documentation, knowledge sharing, and cross-training across the team Support a culture of experimentation, continuous learning, and sustainable delivery Required Skills System software architecture Cloud platforms (AWS/Azure/GCP) Data engineering SQL and No SQL databases Python or Java Containerization (Docker, Kubernetes) CI/CD pipelines Distributed systems Performance optimization Security and compliance

Everpure, Inc. is seeking a Hardware Lead Engineer to drive architecture and design for our hyperscale line of business supporting large-scale data and analytics platforms. In this role, you'll own end-to-end hardware strategy-from requirements and component selection to prototyping, validation, and optimization of high-density, power-efficient systems. You'll collaborate closely with cloud, data, and software teams to ensure performance, reliability, and scalability for demanding AI and analytics workloads. At Everpure, you'll join a collaborative, learning-driven environment where experimentation is encouraged and you'll help shape the infrastructure behind modern data platforms. Responsibilities Lead hardware architecture and design for hyperscale data and analytics platforms Define technical requirements and specifications for high-density, scalable hardware systems Collaborate with software, data, and cloud teams to ensure end-to-end platform performance Evaluate and select components, vendors, and reference designs for hyperscale environments Drive prototyping, testing, and validation of hardware solutions for reliability and efficiency Optimize power, cooling, and rack-level designs for large-scale deployments Create design documentation, standards, and best practices for hardware engineering Mentor junior engineers and contribute to technical decision-making and roadmap Engage with clients to translate business needs into hardware and infrastructure designs Continuously research emerging technologies to inform future platform strategy Required Skills Hardware architecture and board-level design High-density server and storage systems Hyperscale / large-scale data center infrastructure Signal integrity and power integrity analysis Thermal management and cooling design Component selection and vendor management System testing, validation, and troubleshooting Cloud and data center platforms (e.g., AWS, Azure, GCP concepts) High-speed interconnects and networking basics Technical documentation and design standards

Everpure, Inc., a fast-growing data and analytics consulting firm, is seeking a Senior Full Stack Software Engineer to power innovative digital experiences on modern cloud data platforms. In this role, you will design and build secure, scalable web applications that turn complex data into intuitive, high-impact analytics for our clients. You'll work across the stack-from modern JavaScript frontends to robust APIs and data services-collaborating closely with data engineers, analysts, and stakeholders to deliver production-ready solutions. You will shape technical architecture, champion code quality, and implement CI/CD pipelines to ensure reliability and rapid iteration. Drawing on your cloud experience, you'll optimize performance and observability in environments such as AWS, Azure, or GCP. As a senior contributor, you'll mentor teammates, share best practices, and help set engineering standards. Everpure's culture emphasizes curiosity, ownership, and sustainable high performance. You'll have the freedom to experiment with new technologies, influence product and platform decisions, and see your work directly impact client outcomes. If you thrive at the intersection of data, software engineering, and user experience, and want to build next-generation digital analytics solutions in a collaborative, flexible environment, we'd like to meet you. Responsibilities Design, build, and maintain scalable full stack web applications for digital data experiences Develop secure, well-tested APIs and integrations with cloud data platforms Collaborate with data engineers, analysts, and clients to translate business needs into technical solutions Optimize application performance, reliability, and observability in cloud environments Implement modern UI components and interaction patterns for analytics and BI experiences Contribute to architecture decisions, code reviews, and technical standards Automate build, test, and deployment pipelines using CI/CD best practices Mentor junior engineers and promote engineering best practices Collaborate in agile ceremonies and iterate quickly based on feedback Research and prototype new technologies to enhance Everpure's digital offerings Required Skills Full stack web development (frontend and backend) Java Script/Type Script and a modern framework (React, Angular, or Vue) Backend development with Node.js, Python, or similar RESTful and/or Graph QL API design and implementation Cloud platforms (AWS, Azure, or GCP), especially data services Relational and No SQL databases, including performance tuning CI/CD pipelines and Dev Ops tooling (Git Hub Actions, Git Lab CI, Jenkins, etc.) Containerization and orchestration (Docker, Kubernetes) Automated testing (unit, integration, end-to-end) Security best practices for web applications and APIs

Senior Software Engineer designs, builds, tests, and maintains secure multi-tier or microservice applications supporting federal missions in an on-site, classified environment. The role plans and coordinates development activities, implements cloud-based and containerized solutions on Linux, troubleshoots complex issues, and applies standards and CI/CD practices to deliver reliable mission software. Responsibilities Plan, conduct, and coordinate full lifecycle software development activities for mission applications. Design, develop, test, and debug secure multi-tier or microservice software solutions. Apply appropriate development standards, processes, and tools across the software lifecycle. Create and maintain technical documentation, operating instructions, and development records. Analyze system capabilities and resolve issues related to requirements, data, and program behavior. Implement and maintain CI/CD pipelines and containerized deployments on Linux and cloud platforms. Collaborate with stakeholders and system users to gather requirements and refine solutions. Troubleshoot and correct software defects in an on-site, classified environment. Required Skills Microservices architecture Cloud platforms (AWS, Azure, GCP) Docker Kubernetes or Open Shift CI/CD with Git Lab CI or Jenkins Linux systems development Scripting (e.g., Python, Bash) Secure software development practices Requirements analysis Software debugging and troubleshooting

Vantor is seeking a Senior Software Engineer to design and build modern web applications, APIs, and data driven solutions. You will own features end to end, from architecture and implementation to deployment in scalable cloud environments. Working in agile, client facing teams, you'll mentor engineers, improve code quality, and champion best practices in testing, DevOps, and automation. You'll collaborate closely with product and stakeholders to translate business needs into reliable, maintainable software that powers measurable digital transformation for our clients. Responsibilities Design, develop, and maintain modern web applications and APIs Architect scalable, cloud native solutions for client projects Collaborate with product, design, and client stakeholders to refine requirements Implement robust automated testing and code quality practices Own features end to end from design through deployment and monitoring Mentor and support other engineers through code reviews and pairing Contribute to Dev Ops and CI/CD improvements for faster, safer delivery Participate in agile ceremonies and help continuously improve team practices Required Skills Java Script/Type Script Node.js or similar backend framework React or modern front-end framework RESTful and/or Graph QL APIs SQL/No SQL databases Cloud platforms (AWS, Azure, or GCP) CI/CD pipelines and Dev Ops practices Automated testing (unit, integration) Microservices and distributed systems Agile/Scrum methodologies

Vantor seeks a Senior AI/ML Engineer to advance AI capabilities in our Defense & Aerospace portfolio. You will architect, implement, and optimize machine learning and deep learning solutions within the Data Science & AI department. Responsibilities include building secure, scalable ML pipelines, integrating models into mission systems, and collaborating with cross-functional teams to solve complex operational challenges. You'll mentor peers, influence AI strategy, and help foster Vantor's culture of innovation, diversity, and continuous learning while delivering high-impact, production-grade AI services. Responsibilities Design, build, and deploy ML and deep learning models for defense and aerospace applications Collaborate with cross-functional teams to define AI requirements and translate mission needs into technical solutions Develop secure, scalable ML pipelines and MLOps practices for production systems Optimize model performance, reliability, and latency for real-world operational environments Mentor junior engineers and contribute to Vantor's AI best practices and technical standards Document architectures, experiments, and results for stakeholders and compliance needs Required Skills Machine learning algorithms Deep learning (CNNs, RNNs, transformers) Python Tensor Flow or Py Torch MLOps and CI/CD for MLCloud platforms (AWS/Azure/GCP) Data engineering (ETL, pipelines) Model evaluation and optimization Version control (Git) Secure, scalable software design

Vantor is seeking a Senior Software Engineer to design and build modern web applications, APIs, and data driven solutions. You will own features end to end, from architecture and implementation to deployment in scalable cloud environments. Working in agile, client facing teams, you'll mentor engineers, improve code quality, and champion best practices in testing, DevOps, and automation. You'll collaborate closely with product and stakeholders to translate business needs into reliable, maintainable software that powers measurable digital transformation for our clients. Responsibilities Design, develop, and maintain modern web applications and APIs Architect scalable, cloud native solutions for client projects Collaborate with product, design, and client stakeholders to refine requirements Implement robust automated testing and code quality practices Own features end to end from design through deployment and monitoring Mentor and support other engineers through code reviews and pairing Contribute to Dev Ops and CI/CD improvements for faster, safer delivery Participate in agile ceremonies and help continuously improve team practices Required Skills Java Script/Type Script Node.js or similar backend framework React or modern front-end framework RESTful and/or Graph QL APIs SQL/No SQL databases Cloud platforms (AWS, Azure, or GCP) CI/CD pipelines and Dev Ops practices Automated testing (unit, integration) Microservices and distributed systems Agile/Scrum methodologies