1294 jobs found

HOURS: Full-time, 40 hours per week SALARY: $163,550-$175,000 per year EMPLOYER: Advanced Bionics LLC JOBSITE: 28515 Westinghouse Place Valencia, CA 91355 Job Duties: Apply knowledge of engineering, biology, and bioelectrical principles to the research and development of electronic hardware and software systems lifecycle activities and new technologies for cochlear implants. Oversee the design, implementation, testing, and optimization of firmware (embedded software) that is critical to the performance and functionality of cochlear implant devices. Lead and manage a team of firmware and software engineers, using knowledge of embedded systems, low-level software development, and real-time operating systems. Provide guidance, mentoring, and technical expertise to drive excellence in firmware development for cochlear implants. Use good oral and written communication skills to collaborate with cross-functional teams, including hardware engineers, signal processing experts, and quality assurance professionals, to define software requirements and ensure seamless integration with the overall system. Develop and maintain embedded software architecture, ensuring efficient and reliable operation of cochlear implant devices. Responsible for overseeing the entire firmware development lifecycle, including requirements analysis, design, coding, testing, debugging, and documentation in close collaboration with the Test Manager to ensure comprehensive and effective testing strategies are implemented. Use programming languages, such as C/C++, to effectively design and program firmware for cochlear implants. Ensure compliance with relevant regulatory standards, such as FDA guidelines, in the development and documentation of embedded software for medical devices. Drive continuous improvement in firmware development processes, tools, and methodologies to enhance efficiency, quality, and reliability. Collaborate with external stakeholders, such as research institutions and industry partners, to stay abreast of emerging technologies and industry trends in firmware development for cochlear implants. Supervises a team of Embedded Software Engineers and Firmware Engineers. Domestic and international travel (Canada and Switzerland) to manufacturing sites, office locations, and suppliers (up to 10%). Work on-site a minimum of 3 days/week and then may work remotely from home (within Los Angeles County). Schedule subject to director approval. Requirements: 1. U.S. Bachelors degree (or foreign degree equivalent) in Computer/Software Engineering, Biomedical Engineering, or a related engineering field, and 4 years of experience as an Embedded Software Engineer, Firmware Engineer, Biomedical Engineer, or a related engineering occupation in the medical device industry. 2. Must have experience with the following: - Embedded Software Development - Embedded Systems - Cochlear Implants - Firmware Development Lifecycle - Low-level Software Development - Real-time Operating Systems - C/C++ Programming - Regulatory Standards for Medical Devices 3. Must have good oral and written communication skills. 4. Domestic and international travel (Canada and Switzerland) to manufacturing sites, office locations, and suppliers (up to 10%). HYBRID REMOTE: Work on-site a minimum of 3 days/week and then may work remotely from home (within Los Angeles County). Schedule subject to director approval. To Apply, Email Resume to: Attn: K. Kirshenbaum/RE: MESE (email removed)

Member of Technical Staff sought by Tungsten Dev, Inc., Mountain View, CA, to perform the following duties: 1. Designing, developing, and implementing backend services and APIs for an enterprise AI agent orchestration platform using Golang, gRPC, and REST APIs to support reliable, high-throughput execution of LLM-driven agentic workflows for Fortune 500 customers. 2. Architecting and validating high-performance storage and retrieval layers for agent memory, context, and knowledge-base grounding using the Milvus vector database and related embedding-based retrieval systems to power retrieval-augmented generation (RAG) within LLM-driven AI agents. 3. Designing and deploying stateful, long-running AI agent workloads on AWS, including configuring Kubernetes (k8s) persistent volumes backed by NFS and S3 protocols as the primary storage layer for durable agent session state, checkpointing, and on-demand replication across availability zones. 4. Implementing secure inter-service communication across the distributed agent platform by integrating the Go-spiffe library with gRPC to enforce mTLS-based identity and authorization between agent runtimes, tool servers, and MCP (Model Context Protocol) proxies. 5. Building and operating containerized AI microservices including model-invocation gateways, MCP proxy layers, and webhook-driven event processors using FastAPI, Docker containers, and GPU-optimized data pipelines deployed on AWS ECS and AWS Bedrock AgentCore. 6. Performing coding, debugging, and testing of software components across the full stack, including agent runtime services, backend APIs, model-routing layers, and deployment infrastructure on AWS (Bedrock AgentCore, ECS, S3, Terraform). 7. Contributing to the design and development of product features as part of a cross-functional engineering team, including OAuth-based third-party integration abstractions, MCP tool proxies, and webhook-driven event triggers for AI agents. 8. Collaborating with enterprise customers and internal teams to gather requirements, translate business needs into technical designs, and implement features for AI-powered workflow automation. 9. Troubleshooting and resolving technical issues related to AI-powered application functionality and enterprise data integrations, including applying Python, PyTorch, and auto-encoder-based anomaly detection pipelines to monitor agent behavior and identify abnormal execution patterns, and documenting code, processes, and technical specifications to support team knowledge sharing and product maintenance. Education and Experience Requirements This position requires a Masters (or foreign educ. equiv.) Degree in Computer Science, Software Engineering, Computer Engineering or a closely related field plus one (1) year of experience in the job offered or a related occupation. Special Skills Requirements Experience must include: a. Designing and implementing replication engine using Golang, gRPC, REST APIs. b. Designing and validating high-performance unified storage architecture using Milvus vector database. c. Adding support for files as the primary storage for k8s persistent volume with support for ondemand replication. d. Integrating Gospiffe library with gRPC to implement mTLS and secure interservice communication across distributed nodes. e. Using FastAPI, Docker containers and GPU-optimized data pipelines. f. Use of Python, PyTorch, and anomaly detection pipelines. Telecommuting/Remote Work is Permitted May telecommute Please copy and paste your resume in the email body (do not send attachments, we cannot open them) and email it to candidates at (link removed) with reference in the subject line. Thank you.

Role: Technical Project Manager / Program Manager Healthcare & AI Location: Remote (USA) Duration: Long-Term Contract Visa Status: USC only Job Summary We are seeking an experienced Technical Project Manager / Program Manager with a strong background in the Healthcare industry to lead complex technology initiatives across cross-functional teams. The ideal candidate will have extensive experience managing software development projects, Agile delivery, stakeholder communication, and enterprise implementations. Experience managing AI/Generative AI initiatives is highly preferred. This role requires someone who can bridge business and technology while ensuring successful project execution in a fast-paced healthcare environment. Required Qualifications 10+ years of Project or Program Management experience 5+ years of Healthcare industry experience (Digital Health, Healthcare SaaS, Healthcare Staffing, Telehealth, Health Systems, etc.) Strong experience leading enterprise software implementation projects Proven experience managing Agile Scrum teams and SDLC Experience working with Engineering, Product Management, QA, DevOps, and Business teams Strong stakeholder management and executive communication skills Experience managing multiple concurrent projects and cross-functional teams Experience with Jira, Confluence, Azure DevOps, or similar project management tools

Job in Illinois MF IT Global is a technology services company delivering professional IT support with local teams across Latin America, North America, and Europe. Founded in 2009, the company brings over 15 years of experience, with certified specialists and 24/7 availability for critical infrastructure needs. Services span IT installation and support, network administration, cloud computing, virtualization, on-site and remote staffing, 24/7 emergency response, IT consulting, and custom software development. Our client is looking for a Network Engineer: Location: Plainfield, IL 60544 Start Date: ASAP Onsite: On-site (full-time) Project Duration: 4-6 weeks Key Responsibilities Monitor and support enterprise wireless infrastructure including wireless LAN controllers (WLCs), access points, and related services. Perform L2 troubleshooting of wireless connectivity, authentication, roaming, coverage, and performance issues. Analyse wireless heatmaps and network performance metrics to identify coverage gaps and optimisation opportunities. Support wireless deployments, upgrades, migrations, and device onboarding activities. Manage incident, problem, and change tickets in accordance with ITIL processes. Coordinate with OEM vendors (Cisco TAC, etc.) for complex issue resolution. Support wireless security features such as Rogue AP Detection, WIPS/aWIPS, 802.1X authentication, and guest access solutions. Participate in on-call support and major incident management activities as required. Technical Skills Required Wireless Technologies Cisco Wireless LAN Controllers (9800 Series, AireOS) Cisco Access Points Aruba Wireless (Preferred) Wireless site surveys and heatmap analysis RF fundamentals (2.4 GHz, 5 GHz, 6 GHz) Network Technologies VLANs, STP, Routing and Switching 802.11 a/b/g/n/ac/ax standards QoS for voice and video over Wi-Fi Tools & Platforms Cisco DNA Center (DNAC) Ekahau Security 802.1X Authentication Cisco ISE WPA2/WPA3 Rogue Detection and Wireless Security Monitoring Qualifications Bachelor's degree in Computer Science, Information Technology, Electronics, Telecommunications, or related field required. Cisco Certified Network Associate (CCNA) required. Preferred Experience Cisco Certified Network Professional (CCNP Enterprise/Wireless). Enterprise Wi-Fi operations supporting 500+ AP environments. Cisco DNAC Assurance and Wireless Analytics. Wireless migrations, refresh projects, and site surveys. Experience working with global NOC/Operations teams. Work Authorization: Candidates must have valid identification/authorization to work in the US. To Apply: Send your resume to

Design, develop, test, deploy, and support new software solutions and changes to existing software solutions. Troubleshoot technical issues in a variety of application environments. Work toward competence across the technologies used by the team; be a self-motivated Learner. Own and complete tasks as an active contributor to the team, involving others. Demonstrate competence in analysis and problem-solving. Deliver timely, accurate, and high-quality work to production. Tools used RPA, Alteryx. This position is open to telecommuting from anywhere in the United States. Education and Experience Requirements Bachelors OR Masters degree in Computer Science, Information Systems, Business Analytics or related field; foreign equivalents accepted. 3 years experience (or 1 year experience with Masters degree) as a Software Engineer, Business Analyst or related occupations. Special Skills Requirements Experience must include experience (3 years with Bachelors or 1 year with Masters) in all of the following: I. Using RPA/Low-code platforms. II. Working with Agile or Lean software development approaches III. Cloud computing. Telecommuting/Remote Work is Permitted This position is open to telecommuting from anywhere in the United States. Please copy and paste your resume in the email body (do not send attachments, we cannot open them) and email it to candidates at (link removed) with reference in the subject line. Thank you.

Role Overview Navon Corps LLC is seeking a motivated Junior AI Engineer Intern to support the design, development, and testing of generative AI and LLM-powered features. This is a hands-on learning opportunity for a student or early-career individual looking to build practical experience in applied AI engineering under the guidance of senior team members. Key Responsibilities AI & LLM Feature Development: Assist in building and testing generative AI features using frameworks such as LangChain, OpenAI APIs, or similar LLM toolkits. API & Application Support: Support development of RESTful APIs and help integrate AI capabilities into existing or prototype applications. Data Preparation: Assist with data ingestion, cleaning, and organization to ensure AI models and pipelines have accurate, well-structured inputs. Prototyping & Testing: Participate in rapid prototyping of new AI features; run basic experiments and help document results to guide iteration. Documentation: Maintain clear documentation of code, experiments, and processes for internal knowledge-sharing. Cross-Team Collaboration: Work with engineering and product team members to understand requirements, troubleshoot issues, and communicate progress clearly. Learning & Growth: Actively seek feedback from senior engineers, ask questions, and apply new concepts quickly in a fast-moving environment. Qualifications Currently pursuing or recently completed a degree in Computer Science, Engineering, Data Science, or a related field. Basic proficiency in Python (or a similar language). Familiarity with, or strong interest in learning, LLM frameworks (e.g., LangChain), APIs, and version control (Git). Basic understanding of cloud platforms (AWS, Azure, or GCP) is a plus, not required. Strong attention to detail and eagerness to learn new tools and techniques. Comfortable working in a collaborative, fast-paced team setting. Self-motivated with good communication skills, both written and verbal. Internship Details This is an unpaid internship intended to provide practical, resume-building experience in AI engineering. Flexible schedule to accommodate academic commitments; occasional evening or weekend availability may be needed to meet project deadlines. Remote or hybrid work arrangement (specify based on actual setup).

Position: Service Desk Technician (Ref: 18542) Location: Atlanta, GA United States, 30329 Salary: $27.50/hr. Duration: 11 Months 7 Days - Contract Openings: 1 Deadline: 07/30/2026 Description: Location: Atlanta, GA (Hybrid) Schedule: Monday Friday, 8 Hours/Day We are seeking a proactive and customer-focused IT Service Desk Technician to provide first- and second-level technical support across our organization. In this role, you will serve as the primary point of contact for end-user IT inquiries diagnosing, troubleshooting, and resolving hardware, software, network, and application issues. This is a hybrid role based in the Atlanta area, supporting end-user endpoint devices, Microsoft 365 services, identity and access management, asset lifecycle management, and enterprise business applications. Key Responsibilities Customer Support: Serve as the initial contact for IT incidents and service requests via phone, email, chat, and desk-side support. Deliver high-quality customer service while adhering to established Service Level Agreements (SLAs). Incident & Request Management: Log, prioritize, categorize, and resolve tickets using enterprise ticketing software following ITIL best practices. Document troubleshooting steps, knowledge articles, and resolutions. Endpoint & Device Support: Configure, image, deploy, and support Windows 11 laptops and desktops. Install and troubleshoot desktop software, VPN, browsers, and Microsoft 365 suite applications. Support peripherals such as printers, docking stations, webcams, and mobile devices. Identity & Access Management: Create, update, and disable user accounts in Active Directory and cloud identity environments. Manage password resets, Multi-Factor Authentication (MFA), and user access provisioning/onboarding/offboarding. Collaboration Tools & Cloud Services: Assist users with Microsoft 365 productivity and collaboration tools (Teams, Outlook, OneDrive, SharePoint Online) and troubleshoot authentication or licensing issues. Hardware Asset Management: Inventory, track, assign, deploy, and recover hardware assets throughout their lifecycle. Assist with asset reconciliation and inventory audits. Cross-Team Collaboration: Coordinate with infrastructure, cybersecurity, and engineering teams to escalate complex issues and support special IT rollout projects or hardware refreshes. Minimum Qualifications Education: High School Diploma or GED required. (Associate or bachelors degree in IT or Computer Science preferred.) Experience: o Minimum of 2 years of technical support experience in a Help Desk / Service Desk environment. o OR an associate degree in IT/Computer Science plus 1 year of hands-on technical support experience. Location: Must be local to the metro Atlanta area to work onsite as required. Key Skills & Familiarity Strong familiarity with Windows 11, Microsoft 365, Teams, Outlook, and Active Directory / Entra ID. Experience with cloud endpoint management tools (e.g., Intune, Autopilot). Hands-on experience with enterprise ticketing systems (e.g., ServiceNow) and remote troubleshooting tools. Understanding network connectivity, VPNs, MFA, and networked printers. Knowledge of standard ITIL service management concepts. Excellent verbal/written communication and customer service skills with the ability to explain technical concepts to non-technical users. Required / Desired Skills Experience providing technical support in a Help Desk or Service Desk environment. Required - 2 Years Experience supporting Microsoft Windows 11, Microsoft 365, Microsoft Teams, Microsoft Outlook, Microsoft Entra ID (Azure AD) Required - 2 Years Edit Job

Position: Azure Infrastructure Engineer (Ref: 18555) Location: Atlanta, GA USA, 30334 Salary: $65.00/hr. Duration: 11 Months 2 Days - Contract Openings: 1 Deadline: 07/31/2026 Description: Local Candidates Only Hybrid We are seeking a skilled Database Infrastructure Engineer to design, maintain, and optimize core enterprise database environments. In this role, you will serve as a key custodian of the data ecosystem, focusing heavily on automation, scheduling management, and infrastructure scaling. You will leverage scripting languages to automate routine maintenance, monitor system health, and orchestrate complex database jobs to ensure maximum uptime and peak performance across on-premises and cloud environments. Key Responsibilities Infrastructure Management: Design, configure, provision, and managing hardware/software configurations across Azure Cloud services and Windows Servers. Ensure compliance with data governance, state/federal data privacy regulations, and user permission management. Automated Job Management: Design, implement, and monitor automated database jobs, routine maintenance tasks, and ETL workflows. Scripting & Automation: Write and maintain robust scripts (SSIS, PowerShell, etc.) to automate DBA tasks, deployments, backups, and health checks. Performance Tuning: Proactively monitor system performance, identify bottlenecks, optimize queries, and manage indexing strategies. Troubleshoot complex hardware, software, and network issues. High Availability & Disaster Recovery (DR): Maintain and test robust DR strategies and failover protocols. Provide 24/7 support for mission-critical production systems as needed. Cross-Functional Collaboration: Support application development and data integration through application environment configuration, IIS administration, and the implementation of security and performance best practices. Qualifications & Requirements Education: Bachelors degree in Computer Science, Information Technology, or a related field. Location Requirement: Must be local to the Greater Metro Atlanta area for hybrid work arrangements. Database Platforms: Strong expertise in managing enterprise systems (MS SQL Server, Windows Server, Azure Cloud environments). Scripting Proficiency: Advanced knowledge of PowerShell and SSIS for database automation and pipeline orchestration. Infrastructure Knowledge: Solid understanding of storage systems, network architecture, and cloud infrastructure (primarily Azure). Troubleshooting: Strong analytical and problem-solving skills under pressure for critical production incidents. Preferred Skills & Certifications Experience with PowerApps, Power BI Services, and Power Automate. Familiarity with CI/CD pipelines, DevOps processes, and .NET applications. Professional certifications such as Microsoft Certified: Azure Database Administrator Associate or relevant Microsoft SQL Server credentials. Working Conditions: Location: Atlanta, GA (Hybrid Local candidates only) Position Type: Contract Work Schedule: Standard Business Hours (40 hours/week, 8 hours/day) Required / Desired Skills Bachelors degree in computer science, information technology, or a related field Required - 4 Years Expertise in managing enterprise systems (e.g., MS SQL Server, Windows Server, and Azure Cloud environment). Required - 7 Years Knowledge of scripting languages like PowerShell and SSIS for automation. Required - 7 Years Understanding of storage systems, network architecture, and cloud infrastructure (i.e. Azure). Required - 7 Years Excellent troubleshooting skills under pressure for critical production incidents. Required - 7 Years Certifications in relevant database technologies (e.g., Azure Database Administrator). (COPY REQUIRED) Required - 1 Years Certifications such as Microsoft Certified: Azure Database Administrator Associate, Microsoft SQL Server (COPY REQUIRED) Required - 1 Years Experience with PowerApps, Power BI Services, Power Automate. Required - 7 Years Familiarity with CI/CD pipelines, DevOps processes and .NET applications Required - 7 Years

Job Summary: This is a hybrid position requiring an on-site presence 3 to 4 days per week. Please note that the number of days on-site can increase based on business needs. As a Cloud Engineer , you will oversee the design, implementation, and management of our cloud infrastructure on the Google Cloud P latform. You will collaborate with cross-functional teams to assess requirements, develop cloud solutions, and ensure the security, scalability, and reliability of our cloud-based systems. The ideal candidate should have a strong background in GCP infrastructure architecture and a deep understanding of GCP Database solutions, Data architecture and data analytics solutions . You will participate in architecture reviews of GCP environments, bring engineering best practices, lead and implement changes, and inspire teams toward delivery excellence at Sysco. Duties and Responsibilities: Lead the implementation of the Google Cloud Platform Data architecture while collaborating with cross-functional teams. Design, implement, and manage highly available and scalable cloud infrastructure on the Google Cloud Platfor m . Collaborate with stakeholders and application teams to understand business requirements, translate them into cloud architecture designs, and provide operational support to application teams. Develop and maintain cloud data migration strategies, including assessing existing systems, identifying gaps, and recommending remediation and infrastructure implementation plans. Ensure the security, availability, and performance of GCP resources through proper design and configuration. Implement and optimize cloud-based infrastructure solutions, such as virtual networks, private service access, storage, databases, compute resources, and identity and access management. Define and enforce cloud governance policies, including resource tagging, access controls, and cost management. Monitor, troubleshoot, and resolve issues related to GCP infrastructure, ensuring high availability and performance. Stay up to date with the latest trends and advancements in GCP and cloud computing technologies and provide recommendations for continuous improvement. Collaborate with cross-functional teams, including Data architect s , developers, network administrators, security specialists , and cloud providers to ensure seamless integration of cloud solutions. Work with DevOps and IaC tools such as GitHub, Jenkins, Docker and Terraform . Ensure the security and compliance of all Sysco's infrastructure, data, applications, and configurations. Design / Develop Scripts for Automation where appropriate . Education Required: Extensive knowledge of GCP infrastructure, services, and Database solutions , including GCP private/internal access technologies , Cloud Storage, GCP BigQuery , Cloud Spanner , Dataflow , Dataproc etc Should have a successful track record in architecting, designing, implementing, and managing systems and infrastructure in a cloud computing environment, including hybrid architectures. Bachelor's degree in Computer Science or appropriate related field is preferred. Equivalent work experience may be substituted for these education requirements. Education Preferred: Bachelor's degree in Computer Science Experience Required: 3 years of relevant experience in public cloud administration ( Google Cloud Platform. ) Experience Preferred: 5 years preferred Licenses/Certifications Required: Microsoft Certified: Azure Solutions Architect Expert AWS Certified Solutions Architect - Professional Licenses/Certifications Preferred: GCP Certified Cloud Engineer Microsoft Certified: Azure Administrator Associate GCP Cloud Architect VMware Certified Professional Skills and Abilities: Working experience with native cloud technologies, 3rd party automation tools as such as Jenkins, Terraform, Chef, Cloud Custodian, and automation/scripting via CLI including Python, Bash and Powershell. Physical Demands: Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions of this job. Travel Requirements: Travel is primarily limited to training and conferences. Work Environment: Agile teams working in a Scrum framework.

Senior Backend Engineer (Security & Cloud Platform) We're hiring a Senior Backend Engineer with 5+ years of experience building secure, production-grade backend systems. This is a full-time on-site opportunity in Alameda, California, USA. Requirements: 5+ years of backend development experience Strong expertise in Go or TypeScript Experience with security, authentication, encryption, and cryptography Cloud platforms (AWS, GCP, or Azure) Docker, CI/CD, REST APIs MQTT, WebSockets, or real-time systems Database design (SQL/NoSQL) Experience building backend systems from scratch IoT, telematics, or hardware-cloud integration is a plus Must be authorized to work in the United States (visa sponsorship not available) Compensation & Benefits: Salary: c USD Competitive equity Medical, dental, and vision insurance 401(k) with company match Flexible PTO Paid holidays Relocation assistance

Job Description Job Description Network Security Engineer DALLAS, TX LONG TERM Are you a Network Security Engineer with a passion for designing, securing, and optimizing enterprise-level network infrastructures? We are looking for a results-driven professional who thrives in high-stakes environments, tackling complex security challenges while ensuring seamless network performance. If you have a strong background in network architecture, security compliance, and performance optimization , we invite you to join our team and make an impact! Key Responsibilities: Network Architecture & Optimization - Design, configure, and optimize network infrastructure, including routers, switches, firewalls, and VPNs. Security & Compliance - Implement robust security policies, risk mitigation strategies, and access controls to safeguard critical data. Monitoring & Threat Detection - Leverage advanced tools for real-time network monitoring, anomaly detection, and security incident response. Incident Response & Troubleshooting - Analyze security threats, diagnose network issues, and deploy timely solutions to maintain business continuity. Disaster Recovery & Redundancy Planning - Develop and maintain backup, recovery, and failover strategies to ensure high availability. Collaboration & Documentation - Work cross-functionally with IT teams to enforce security best practices and document network configurations. Qualifications & Experience: Experience: Minimum 7 + years in network security engineering , covering: Network design, architecture, and security enforcement. Advanced routing, switching, and firewall configuration. Hands-on experience with IDS/IPS, VPNs, SD-WAN, and cloud security controls. Deep knowledge of network security monitoring and threat intelligence tools. Technical Skills: Strong expertise in TCP/IP, VPNs, VLANs, BGP, OSPF, EIGRP, and MPLS . Proficiency in securing LAN/WAN environments, firewalls (Palo Alto, Cisco, Fortinet), and cloud-based security . Familiarity with SIEM, intrusion detection/prevention systems, and vulnerability management . Scripting experience (Python, PowerShell, or Bash) is a plus. Certifications (Preferred but not mandatory): CCNA, CCNP, CCIE, CISSP, MCSE, MCSA, or equivalent . If you're ready to elevate network security standards and drive innovation , we'd love to hear from you!

Set and drive strategies to transform operations planning business processes, focusing on schedule reliability, cost reduction and optimization; Influence leaders, squads and peers on strategy, technical feasibilities, DevOps best practices, software performance optimizations, roadmap items, OKRs and upcoming releases; Collaborate with internal teams, and Operations Research, IT and Network Planning teams to build the next generation of planning tools. Plan, organize, and direct the design, development, and implementation of enterprise planning products using cloud technologies, advanced analytics, and efficient workflow design; Design and optimize operational planning processes to improve operational performance; Design experiments, conduct feasibility studies, systems analysis, and technical economic assessments of various schedule constraints and operational standards; Mine, model, analyze, and evaluate operational data to identify root cause factors impacting network reliability; Play a key role in solving complex science problems which contribute to development of network schedules and operations plans; Coordinate process engineering projects across departments. Work closely with cross-functional teams to implement improvements; Contribute to the technical architecture and design of products by collaborating with engineering teams to ensure alignment with enterprise system architecture and cloud best practices; Collaborate with operational planning departments across divisions (Airport planning, Technical Operations/Maintenance, Integrated Operations Center Planning, Crew Planning), Operational leadership, and Network Planning in the development of future schedules and schedule solutions; Utilize technical analytics including A/B testing, product architecture, continuous deployment process, DevOps practices, data models and analytics, querying languages, tools supporting automation/metrics and other technologies in support of improved operational performance; Understand the budgetary implications and related organizational constraints in factoring areas of focus; Practice agility in discovering and delivering value continuously. Work Schedule: 40 hours per week/8 a.m.-5 p.m./M-F. Job Location: Fort Worth, TX Education and Experience Requirements Masters degree in Data Science, Business Analytics, or related field, plus 2 years of experience as Analyst, Product Owner, Specialist, Consultant, or any occupation in which the required experience was gained, and demonstrated experience in: Python Programming; SQL Programming; Airline Operations and Schedule Planning; Airline business model; Machine Learning and statistical Forecast Models for Airlines; Azure Databricks for automating workflows and data pipelines; Azure Data Factory; Azure DevOps; Tableau Dashboards for tracking performance; Test Driven Development; A/B Testing; Software Development; Data Analysis; Data Engineering. Please copy and paste your resume in the email body (do not send attachments, we cannot open them) and email it to candidates at (link removed) with reference in the subject line. Thank you.

Responsibility for driving improvements in corporate systems by analyzing forecast and revenue data and implementing creative solutions to improve profitability; Utilize statistical analysis, simulations, predictive modeling, or other analytical methods to analyze data and develop practical solutions to business problems; Collect, pull, and push data to Oracle, Teradata, and HDFS storage using SQL, Spark, and data analysis technologies; Identify, analyze, and solve problems, and evaluate methods and results; Utilize statistical techniques including clustering, regression, and time series analysis to improve forecasting systems; Perform data analysis, model building, and output testing using SAS, R, and Python; Utilize optimization techniques including linear programming, dynamic programming, and gradient descent to optimize revenue in the corporate network forecast; Present analysis and results to assist management with decision making; Automate manual processes to streamline the workflow of operations research groups; Interact with internal and external groups to ensure corporate systems meet the needs of all interested grow. Work Schedule: 40 hours per week/8 a.m.-5 p.m./M-F. Job Location: Fort Worth, TX Education and Experience Requirements Masters degree in Operations Research, Statistics, Engineering, or related field, plus 1 year of experience as Analyst, Intern, Teaching Assistant, or any occupation in which the required experience was gained, plus demonstrated experience in: Linear Programming (LP); Integer and Mixed-Integer Programming (MIP); Nonlinear Optimization; Stochastic Modeling; Optimization Techniques; Probability Theory; Statistical Inference (confidence intervals, and hypothesis testing); Regression Analysis (linear, logistic, and multivariate); Time Series Analysis (ARIMA and exponential smoothing); Experimental Design and A/B Testing; Bayesian Statistics (basic modeling and inference); Python for Analytics (NumPy, Pandas, and SciPy); R for Statistical Computing; SQL for Data Extraction and Transformation; Automation; Data Analysis; Microsoft Excel, PowerPoint, and Word; Data Cleaning and Preprocessing Techniques; Data Visualization (Matplotlib, Seaborn, and Plotly); Optimization under Uncertainty; Numerical Methods (root finding, interpolation, and numerical integration); Linear Algebra. Experience may be gained during or through the course of graduate-level education. Please copy and paste your resume in the email body (do not send attachments, we cannot open them) and email it to candidates at (link removed) with reference in the subject line. Thank you.

Multiple positions available. 1. Architect and implement AI-powered backend systems for analytics and report generation, utilizing large language model (LLM) pipelines for natural language query processing and translation across SQL and openCypher. 2. Design and implement intent-driven query routing and stateful multi-turn execution logic to enable accurate filtering, aggregation, and contextual query refinement within conversational systems. 3. Develop dynamic prompt and context retrieval pipelines using semantic search and embedding-based retrieval techniques, combined with ranking methods to improve system accuracy and preserve business logic consistency. 4. Develop and optimize data pipelines using Python and SQL to support high-throughput data processing, query translation, and validation workflows in low-latency environments. 5. Design and implement backend services based on Model Context Protocol (MCP) to expose structured database tools and enable deterministic query execution across data systems. 6. Develop and implement machine learning models using Python and PySpark on Databricks to support validation, scoring, and optimization of analytics systems. 7. Apply statistical and machine learning techniques across the full lifecycle, including data preprocessing, feature engineering, model development, validation, and deployment, and perform Bayesian hyperparameter optimization to improve model performance, utilizing mlflow for experiment tracking and Git for version control. 8. Design and implement systems for document processing and workflow orchestration using LangChain and LangGraph within production environments. 9. Design and deploy scalable backend system components, including data processing and caching layers using Python and SQL, to support low-latency and high-throughput analytics workflows. 10. Design and implement distributed system optimizations, including caching strategies and event-driven processing using technologies such as Redis and Kafka, to ensure system reliability and performance. 11. Develop data validation and quality assurance mechanisms using machine learning models and statistical techniques to ensure accuracy, consistency, and integrity of data-driven systems. 12. Design and implement identity verification and fraud risk scoring systems by applying patterns from end-to-end ID verification and KYC fraud models, utilizing Python, TensorFlow, AWS, OpenCV, and CUDA, and machine learning libraries such as NumPy, Scikit-learn, Keras, and Pandas to develop, validate, and optimize data quality and risk-scoring mechanisms. Experience must include: a. Implementing intent-driven query routing and stateful multi-turn execution logic to enable accurate filtering, aggregation, and contextual query refinement within chatbot systems. b. Developing dynamic system prompt retrieval pipelines using semantic search and embedding-based retrieval techniques. c. Designing, developing and optimizing AI-powered backend systems, including large language model (LLM) pipelines for natural language query processing and response generation. d. Developing and optimizing data pipelines using Python and SQL. e. Developing Model Context Protocol (MCP) backends to expose structured database tools for deterministic execution. f. Developing and implementing machine learning models using Python, PySpark on Databricks. g. Applying Bayesian Hyperparameter optimization techniques to tune and improve model performance. h. Designing and building prototype systems for document processing and chargeback resolution using LangChain and LangGraph. i. Applying Statistical and machine learning techniques including data preprocessing, feature engineering, model development, validation, and production deployment utilizing mlflow for experiment tracking and Git for Version control. This position requires a Masters (or foreign educ. equiv.) Degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field plus one (1) year of experience in the job offered or related occupation. Please copy and paste your resume in the email body (do not send attachments, we cannot open them) and email it to candidates at (link removed) with reference in the subject line.

Staff Machine Learning Engineer Overview: As a Capital One Machine Learning Engineer, you'll be providing technical leadership to engineering teams dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll serve as a technical domain expert in machine learning, guiding machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. You'll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology. What you'll do in the role: Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems Lead large-scale ML initiatives with the customer in mind Leverage cloud-based architectures and technologies to deliver optimized ML models at scale Optimize data pipelines to feed ML models Evangelize best practices in all aspects of the engineering and modeling lifecycles Help recruit, nurture, and retain top engineering talent Basic Qualifications: Bachelor's degree At least 10 years of experience designing and building data-intensive solutions using distributed computing At least 6 years of experience programming in C, C++, Python, or Scala At least 3 years of experience with the full ML development lifecycle using modern technology in a business critical setting Preferred Qualifications: Master's Degree 3+ years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models 2+ years of experience using Dask, RAPIDS, or in High Performance Computing 2+ years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn) Ability to communicate complex technical concepts clearly to a variety of audiences ML industry impact through conference presentations, papers, blog posts, or open source contributions Ability to attract and develop high-performing software engineers with an inspiring leadership style Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $269,100 - $307,200 for Distinguished Machine Learning Engineer Plano, TX: $244,700 - $279,200 for Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

We are building a team for one of the U.S. Federal Government's largest technology modernization programs, underpinning the U.S. capital markets. Built on AWS and leveraging an AI-powered software engineering platform, this program offers a unique opportunity to gain hands-on experience with next-generation AI, Agentic AI, cloud technologies, and AI-driven engineering. If you are looking for technically challenging work, exceptional learning, and a rsum-defining opportunity with national impact, I would love to connect. Job Title: AWS Architect Position Type: Full-Time Location: Hybrid (2 days onsite) Days Remote: 3 days remote Position Summary: The AWS Architect is responsible for designing and governing the cloud infrastructure for a large-scale federal platform built on native AWS services. This role establishes the cloud architecture, infrastructure standards, and deployment strategy to deliver a secure, scalable, highly available, and cost-effective platform. Working closely with engineering, security, and product teams, the AWS Architect ensures the platform aligns with FedRAMP requirements, AWS Well-Architected best practices, and modern cloud-native design principles while supporting the integration of agentic AI capabilities. Key Responsibilities: Design and govern cloud infrastructure using native AWS services, including AWS Lambda, Step Functions, EventBridge, API Gateway, Aurora, Amazon S3, and Amazon ECS/EKS. Define and maintain infrastructure-as-code standards using AWS CDK and AWS CloudFormation. Design cloud infrastructure that supports FedRAMP compliance and federal security requirements. Lead AWS Well-Architected Framework reviews and drive cloud cost optimization initiatives. Design secure networking, identity, security, and multi-environment deployment strategies. Support the integration of Amazon Bedrock and agentic AI services into the cloud platform. Guide capacity planning, scalability, resiliency, high availability, and disaster recovery planning. Collaborate with engineering teams to establish cloud architecture standards and best practices across the platform. Minimum Experience: 5+ years of hands-on AWS architecture and cloud solution delivery experience. Experience designing and implementing high-availability, high-volume cloud platforms. Experience designing enterprise cloud infrastructure using infrastructure-as-code methodologies. Mandatory Skills: AWS cloud architecture. AWS Lambda. AWS Step Functions. Amazon EventBridge. Amazon API Gateway. Amazon Aurora. Amazon S3. Amazon ECS and/or Amazon EKS. AWS CDK. AWS CloudFormation. Infrastructure as Code (IaC). AWS Well-Architected Framework. FedRAMP architecture and compliance. Cloud networking and security architecture. Multi-environment cloud deployment strategies. Capacity planning. High availability and resiliency design. Disaster recovery planning. Amazon Bedrock. Agentic AI integration. AWS Certified Solutions Architect Professional. U.S. work authorization. Ability to obtain a Public Trust clearance. Nice-to-Have Skills: Experience supporting FedRAMP-authorized cloud environments. Experience designing large-scale serverless and event-driven architectures. Experience integrating Amazon Bedrock and agentic AI technologies into enterprise cloud platforms. Degrees and Certifications Required AWS Certified Solutions Architect Professional. Preferred Bachelor's degree in Computer Science, Information Systems, Software Engineering, or a related technical discipline (or equivalent professional experience).

Location: 24543 Indoplex Circle, Suite 220, Farmington Hills, MI, 48335 and various unanticipated locations throughout the U.S Position Title: Senior Data Engineer (HCL34) Job Description: Design, develop, test, deploy, and maintain software and data engineering solutions supporting enterprise data platforms and analytics applications. Build, optimize, and support scalable data architectures and pipelines to integrate structured and unstructured data from multiple sources. Analyze business and technical requirements to design efficient data models, dataflows, and system architectures that meet performance, reliability, and scalability requirements. Develop and maintain processes for extracting, transforming, and loading data using SQL and distributed or cloud based data technologies. Ensure data quality, integrity, availability, and security through appropriate validation, monitoring, and quality assurance practices. Identify and implement process improvements, including automation, performance optimization, and infrastructure enhancements. Collaborate with cross functional teams to deliver data solutions that support analytics, reporting, and product development. Provide production support, troubleshoot system issues, and maintain data and software systems. Design and enhance data tools to support analytics and business intelligence initiatives. Research and evaluate data technologies and best practices to support evolving requirements. Manage assigned tasks and projects to ensure timely delivery. This position will require travel within the U.S. This position will require travel within the U.S. The frequency of travel will be on an as-needed basis and the purpose of travel will be for business meetings. Travel/relocate to various unanticipated locations throughout the U.S. for long and short term assignments at client site. Multiple Positions Available. Job Requirements: Requires Bachelors degree or foreign equivalent in Computer Science, Engineering (any), or related and 5 years of experience in the job offered or as a Computer Software Professional. Will also accept Masters Degree or foreign equivalent in Computer Science, Engineering (any), or related and 3 years of experience in the job offered or as a Computer Software Professional This position will require travel within the U.S. The frequency of travel will be on an as-needed basis and the purpose of travel will be for business meetings. Travel/relocate to various unanticipated locations throughout the U.S. for long and short term assignments at client site. Email resume with cover letter to . com; HCL34; EOE.

Description: Position Summary The Systems Engineer II (Senior Level) will join the systems engineering team to coordinate novel, reliable, and high-quality designs for Trenton System's next-generation products, including high end server chassis design, edge-compute form-factors in rugged environments, and cutting-edge designs for some of the industry's most demanding requirements. Typical duties include reviewing customer requirements, suggesting solutions, coordinating product integration, delivery and author design documentation. This role will work at the direction and supervision of the Mechanical Engineering Manager. Essential Duties and Responsibilities Plan, conceptualize, and create design architecture against requirements Manage and maintain customer requirements, system requirements, and traceability Evaluate alternatives and support make/buy decisions Collaborate with multi-disciplinary team of electrical, mechanical, software, and test engineers and participate with teams in design reviews. Create design output documentation (i.e. SDRLS, White Papers, BOMS, etc.) as necessary and review for completeness Identify and manage risk in products, processes, and environment. Support Trenton's system level DFM, addressing compatibility & interoperability with technology, industry, and regulatory standards. Ensure full traceability to verification and validations plans and reports Assist Project and Engineering Managers with requirement clarifications, managing scope creep, and developing contingency plans PM21 Requirements: Required Bachelors degree in Computer Science, Mechanical, or Electrical Engineering, or a related engineering field (e.g. Aerospace, Manufacturing, MET) Minimum of 3-5 years experience in engineering design capacity OR 5+ years of technical experience Knowledge of computer hardware & embedded systems architecture Familiarity with MRP or similar (Eng Change Orders/ Production processes) Familiarity with engineering analysis Desired Masters degree in related Engineering field 3-5+ Years of Embedded Systems Engineering VITA / VPX Experience Selects/works with the processor, MCU, GPU Hardware interfaces such as SPI, I C, UART, CAN, Ethernet, etc. Fans, sensors, power sequencing, LEDs, monitoring, etc. Hardware/software interaction. PIdf9c867f9d23-9565

Job Summary: This is a hybrid position requiring an on-site presence 3 to 4 days per week. Please note that the number of days on-site can increase based on business needs. As a Cloud Engineer , you will oversee the design, implementation, and management of our cloud infrastructure on the Google Cloud P latform. You will collaborate with cross-functional teams to assess requirements, develop cloud solutions, and ensure the security, scalability, and reliability of our cloud-based systems. The ideal candidate should have a strong background in GCP infrastructure architecture and a deep understanding of GCP Database solutions, Data architecture and data analytics solutions . You will participate in architecture reviews of GCP environments, bring engineering best practices, lead and implement changes, and inspire teams toward delivery excellence at Sysco. Duties and Responsibilities: Lead the implementation of the Google Cloud Platform Data architecture while collaborating with cross-functional teams. Design, implement, and manage highly available and scalable cloud infrastructure on the Google Cloud Platfor m . Collaborate with stakeholders and application teams to understand business requirements, translate them into cloud architecture designs, and provide operational support to application teams. Develop and maintain cloud data migration strategies, including assessing existing systems, identifying gaps, and recommending remediation and infrastructure implementation plans. Ensure the security, availability, and performance of GCP resources through proper design and configuration. Implement and optimize cloud-based infrastructure solutions, such as virtual networks, private service access, storage, databases, compute resources, and identity and access management. Define and enforce cloud governance policies, including resource tagging, access controls, and cost management. Monitor, troubleshoot, and resolve issues related to GCP infrastructure, ensuring high availability and performance. Stay up to date with the latest trends and advancements in GCP and cloud computing technologies and provide recommendations for continuous improvement. Collaborate with cross-functional teams, including Data architect s , developers, network administrators, security specialists , and cloud providers to ensure seamless integration of cloud solutions. Work with DevOps and IaC tools such as GitHub, Jenkins, Docker and Terraform . Ensure the security and compliance of all Sysco's infrastructure, data, applications, and configurations. Design / Develop Scripts for Automation where appropriate . Education Required: Extensive knowledge of GCP infrastructure, services, and Database solutions , including GCP private/internal access technologies , Cloud Storage, GCP BigQuery , Cloud Spanner , Dataflow , Dataproc etc Should have a successful track record in architecting, designing, implementing, and managing systems and infrastructure in a cloud computing environment, including hybrid architectures. Bachelor's degree in Computer Science or appropriate related field is preferred. Equivalent work experience may be substituted for these education requirements. Education Preferred: Bachelor's degree in Computer Science Experience Required: 3 years of relevant experience in public cloud administration ( Google Cloud Platform. ) Experience Preferred: 5 years preferred Licenses/Certifications Required: Microsoft Certified: Azure Solutions Architect Expert AWS Certified Solutions Architect - Professional Licenses/Certifications Preferred: GCP Certified Cloud Engineer Microsoft Certified: Azure Administrator Associate GCP Cloud Architect VMware Certified Professional Skills and Abilities: Working experience with native cloud technologies, 3rd party automation tools as such as Jenkins, Terraform, Chef, Cloud Custodian, and automation/scripting via CLI including Python, Bash and Powershell. Physical Demands: Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions of this job. Travel Requirements: Travel is primarily limited to training and conferences. Work Environment: Agile teams working in a Scrum framework.