64 jobs found

Job Description Senior Linux Platform Engineer Salary: open + bonus Location: Chicago, IL / Kansas City, MO / New York, NY Hybrid: 4 days onsite, 1 day remote We are unable to provide sponsorship for this role Qualifications 5+ years of experience in Linux systems administration and infrastructure/platform engineering. Production experience managing Kubernetes, preferably in bare-metal or on-premises environments (e.g., with kubeadm, RKE, or OpenShift). Hands-on experience with cloud platforms (AWS, Azure or GCP) in production environments. Strong scripting and automation skills in Python and Bash. In-depth knowledge of Linux internals, kernel tuning, and performance diagnostics. Hands-on experience with SaltStack (preferred), Puppet, or Ansible for configuration management. Familiarity with observability tools such as Prometheus, Grafana, or Loki. Solid understanding of core infrastructure protocols and services (TCP/IP, DNS, NTP/PTP, DHCP, etc.). Experience managing CI/CD pipelines with tools such as Jenkins, GitLab, or similar. Responsibilities Managing and improving our Linux-based infrastructure with a focus on performance, reliability, and scalability. Designing, deploying, and maintaining on-premises Kubernetes clusters and containerized workloads. Developing and maintaining system-level software, middleware, and APIs to support internal platforms and services. Automating system workflows and infrastructure tasks using Python, Bash, and configuration management tools like SaltStack. Building and maintaining RPM packages and internal software repositories. Collaborating with Application Support (SRE), Development, and Security teams to ensure secure, automated CI/CD and platform integration. Diagnosing and resolving complex system-level issues involving the OS, network, or container runtime. Implementing hardened security configurations, including system hardening, secure communications, and identity/access integration. Participating in an on-call rotation to support critical infrastructure services. Documenting architectures, tools, and operational processes to support long-term maintainability.

Job Description Role: Executive Deskside Support Engineer, End User Computing / Workplace Services Location - Des Moines, IA (no remote option) - Onsite Job Key Responsibilities Executive & VIP Support Provide dedicated deskside and remote technical support for executives and designated VIP users. Deliver a white-glove support experience , ensuring issues are handled with urgency, professionalism, and minimal disruption. Take end-to-end ownership of executive incidents and service requests through resolution. Provide proactive technical assistance before critical meetings, executive presentations, and leadership events. Coordinate with infrastructure, network, security, application, collaboration, and vendor teams when issues require escalation. Maintain clear communication with executive users throughout incident resolution. Ensure appropriate follow-up after resolution to confirm services are functioning as expected. Desktop & Endpoint Support Provide advanced troubleshooting and support for: Windows 10/11 laptops and desktops Microsoft Surface and other enterprise endpoint devices Hardware and peripheral issues Docking stations and monitors Printers and scanners Headsets, webcams, keyboards, and other peripherals Device performance and operating system issues Software installation and troubleshooting Device replacement, refresh, and migration activities Support device provisioning, configuration, diagnostics, repair coordination, and replacement as required. Microsoft 365 Support Provide advanced user support for: Microsoft Outlook Microsoft Teams OneDrive for Business SharePoint Online Microsoft Word Microsoft Excel Microsoft PowerPoint Microsoft Edge Troubleshoot issues involving Outlook profiles, mailbox access, Teams meetings, OneDrive synchronization, Microsoft 365 applications, authentication, and related end-user services. Mobile Device Support Support executive smartphones and tablets, including iPhone, iPad, and enterprise-supported Android devices. Troubleshoot corporate email, Microsoft Teams, authentication, certificates, Wi-Fi, and other approved business applications. Support device enrollment and mobile device management processes. Assist with device replacements, upgrades, and migrations. Coordinate with mobility and security teams for complex mobile-device issues. Executive Meeting & Conference Room Support Provide proactive support for executive meetings, leadership sessions, and critical presentations. Validate conference room technology before high-profile meetings where required. Troubleshoot Microsoft Teams meeting connectivity, audio, video, displays, cameras, microphones, and presentation-sharing issues. Provide rapid onsite intervention for executive meeting-room issues. Coordinate with AV and collaboration teams for advanced conference-room incidents. Identity, Access & Connectivity Troubleshoot common end-user issues involving: Microsoft Entra ID authentication Multi-factor authentication Windows login VPN connectivity Corporate Wi-Fi Wired network connectivity Password and account-related issues Remote-access services Work with identity, networking, and security teams when advanced troubleshooting or privileged changes are required. Incident & Service Management Create, update, and manage executive support tickets in the organization's ITSM platform. Maintain accurate troubleshooting notes and resolution details. Ensure executive incidents receive appropriate prioritization under established ITSM procedures. Escalate high-impact or recurring issues to appropriate technical teams. Participate in Major Incident Management when executive services are impacted. Identify recurring executive support issues and recommend permanent corrective actions. Maintain executive-support knowledge articles, SOPs, and troubleshooting documentation. Executive Onboarding & Offboarding Provide technology support for executive onboarding, transfers, and departures, including: Laptop and endpoint preparation Mobile device setup Microsoft 365 configuration Access validation Peripheral and workspace setup Conference and collaboration tool readiness Coordinate across relevant teams to ensure executive technology is operational when required. Security & Confidentiality Maintain strict confidentiality when handling executive devices, data, communications, and support requests. Follow organizational cybersecurity, privacy, and data-handling policies. Ensure devices remain compliant with endpoint-security requirements. Immediately escalate suspected security incidents through established security procedures. Maintain appropriate chain of custody and handling procedures for executive equipment where applicable. Required Technical Skills End-User Computing Windows 10/11 Microsoft Surface and enterprise laptop/desktop hardware Device drivers and peripherals Printing and scanning Remote desktop/support tools Endpoint troubleshooting Microsoft 365 Outlook Teams OneDrive SharePoint Word Excel PowerPoint Endpoint Management Hands-on experience with technologies such as: Microsoft Intune Microsoft Configuration Manager Windows Autopilot Enterprise endpoint security tools Mobility iOS/iPhone/iPad Android Mobile Device Management Corporate email and Teams configuration Mobile authentication and connectivity troubleshooting Networking Working knowledge of: TCP/IP DNS DHCP VPN Wi-Fi LAN connectivity Network troubleshooting fundamentals Identity & Security Working knowledge of: Microsoft Entra ID Multi-factor authentication Windows authentication BitLocker Endpoint security fundamentals Executive Support Competencies The candidate must demonstrate: Excellent customer-service orientation Executive presence and professional communication Ability to remain calm during urgent or high-pressure situations Strong sense of ownership and accountability Excellent troubleshooting and analytical skills Ability to communicate technical issues clearly to non-technical executives Strong prioritization and time-management skills High level of discretion and confidentiality Ability to coordinate rapidly across multiple technology teams Strong attention to detail Proactive rather than purely reactive support mindset Preferred Qualifications 5-8+ years of enterprise deskside/EUC support experience. Demonstrated experience supporting C-suite, senior executives, or VIP users. Experience in a large enterprise or managed-services environment. Experience supporting executive meetings and conference-room technology. Hands-on experience with Microsoft 365, Windows, Intune, and enterprise endpoint technologies. Experience with ServiceNow, ManageEngine ServiceDesk Plus, or a comparable ITSM platform. Relevant Microsoft endpoint or Microsoft 365 certifications are preferred. ITIL Foundation certification is an advantage. Success Measures Performance in this role should focus on: Executive user experience and satisfaction Responsiveness to priority incidents End-to-end ticket ownership Incident restoration and resolution Repeat-incident reduction Meeting and event technology readiness Accurate ticket documentation Successful executive onboarding/device refresh Compliance with security and ITSM processes

Job Description Location: Charlotte, NC (3 days onsite & 2 days remote) Required Qualifications 5+ years of hands-on experience with Red Hat Ansible Automation Platform (AAP). Strong experience administering, configuring, and supporting enterprise AAP environments. Experience with Ansible Automation Controller, Automation Hub, Execution Environments, credentials, RBAC, and instance groups. Experience with AAP installation, upgrades, configuration, and production troubleshooting. 5+ years of advanced Linux/Unix systems administration experience. 5+ years of scripting experience using Python or similar languages. Strong proficiency in YAML, XML, Python, Perl, and Shell scripting. Experience developing and managing enterprise automation content, reusable roles, and Ansible collections. Experience implementing automation SDLC processes, source control, CI/CD pipelines, and content promotion workflows. Strong understanding of complex enterprise infrastructure and application environments. Excellent analytical, troubleshooting, organizational, and problem-solving skills. Strong written and verbal communication skills, including the ability to present technical concepts to senior management. Ability to work independently and collaboratively across geographically distributed teams. More about Dexian Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals. Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit to learn more. Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status. Dexian Unlock trajectory changing opportunities. Unlock business potential with Dexian's comprehensive solutions. Discover staffing, talent development, and valuable resources. Explore now!

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Role Overview The Lead Business Strategic Insights role partners closely with leaders across Commercial Strategy & Innovation (CSI) to develop data-driven solutions that accelerate business growth, enhance customer outcomes, and bring innovative products to market. This individual will leverage advanced analytics, artificial intelligence, machine learning, and business insights to solve complex challenges, uncover opportunities, and drive strategic decision-making across the organization. This role will participate throughout the full solution lifecycle, from ideation and proof of concept through production deployment and business adoption. Success in this position requires a combination of analytical expertise, business acumen, technical proficiency, and stakeholder influence. Key Responsibilities Accelerate AI-enabled decision-making by partnering with data governance, product, and technology teams to leverage governed data assets, semantic layers, and AI/LLM technologies that enable business users to access trusted insights more efficiently. Design and develop heuristics, optimization models, and advanced analytics solutions across customer, product, and operational domains to improve business outcomes. Utilize qualitative and quantitative data to identify opportunities, develop hypotheses, pilot proof-of-concept solutions, and scale successful models across the enterprise. Apply data science and analytical methodologies to identify market trends, process improvement opportunities, strategic synergies, and actionable business recommendations. Support digital data acquisition and integration strategies while building scalable data pipelines that complement existing enterprise data assets. Leverage CSI's data infrastructure to develop next-generation analytical models focused on customer value creation, margin expansion, and operational efficiencies. Drive experimentation and causal learning through pilots, A/B testing, and other measurement methodologies to quantify business impact and improve decision-making. Break down complex business challenges into scalable workstreams and collaborate across functional teams to drive solution adoption and implementation. Develop and deploy scalable Python-based APIs and data products that integrate with enterprise applications and business systems. Build and scale AI agents that enable business users to interact with data using natural language, uncover insights, identify opportunities, and make faster, more informed decisions. Present findings, recommendations, and business cases to senior leaders and cross-functional stakeholders. Minimum Requirements Bachelor's degree in Business, Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field, or equivalent experience. Typically requires 7+ years of relevant professional experience in analytics, data science, business intelligence, strategy, or a related discipline. Critical Skills 5+ years of experience in analytics, data science, business intelligence, or a related field. Proven experience leveraging analytics to drive measurable business value and strategic outcomes. Strong understanding of software engineering principles and API development used to commercialize analytical products and solutions. Advanced communication, presentation, and stakeholder management skills. Hands-on experience with Python, including libraries such as Pandas, Scikit-learn, NumPy, and related tools. Advanced SQL skills with experience querying and manipulating large, complex datasets. Strong understanding of machine learning techniques, including clustering, regression, anomaly detection, forecasting, classification, deep learning, and time series analysis. Experience working with cloud-based data platforms and modern analytics ecosystems. Experience building, deploying, or leveraging AI and generative AI solutions within business environments. Preferred Qualifications Experience working in healthcare, distribution, pharmaceutical, or supply chain environments. Experience with experimental design, causal inference, and business impact measurement. Familiarity with modern AI frameworks, large language models (LLMs), and agentic AI solutions. Experience building scalable data products and deploying machine learning models into production environments. Demonstrated success influencing business decisions through analytics and strategic insights. Additional Skills Passion for using data to solve complex business problems. Strong business acumen and strategic thinking capabilities. Ability to balance technical depth with business priorities. Self-starter with a continuous improvement mindset. Strong collaboration and relationship-building skills across functions and leadership levels. This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $136,300 - $227,100 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

Company Overview: Integrated Data Services (IDS) is a leading provider of custom software products and Government financial management services. IDS was founded in 1997 in El Segundo, CA, and since that time has seen tremendous growth and success. Currently, IDS has offices supporting customers nationwide. By providing customers with fast, efficient and reliable information systems and support services, IDS has become a preferred provider of financial and programmatic systems, services and solutions across a wide variety of government agencies. Position Description: IDS is seeking a Senior Software Engineer to build and sustain enterprise applications that Department of Defense (DoD)/Department of War (DoW) personnel depend on daily for program and financial management activities. Our stack includes Java and Spring Boot on the back end, Angular on the front end, and Oracle underneath, with applications deployed to government-approved cloud environments (such as AWS GovCloud) through automated pipelines that meet DoD/DoW security requirements. We place greater emphasis on an engineer's problem-solving approach, technical judgment, and ability to understand systems end-to-end than on experience with any specific set of frameworks or tools. Successful engineers in this role can quickly assess unfamiliar code, develop a clear understanding of how components interact from the database through the user interface, and design solutions that are reliable, maintainable, and scalable over time. We expect engineers to use AI-enabled tools effectively while remaining accountable for the quality, security, and performance of their work. Technical depth is important, but so are adaptability, sound judgment, clear communication, and disciplined engineering practices. You will work as part of a product team supporting an established enterprise application that DoD/DoW organizations rely on to manage program and financial data at scale. The role includes sustaining and enhancing capabilities customers depend on today, modernizing the underlying technology, and developing new functionality. You will regularly work within an existing codebase and exercise sound technical judgment when determining whether existing solutions should be improved, refactored, replaced, or retained. The ability to thoughtfully evaluate and evolve established systems is as important as the ability to design and build new capabilities. Responsibilities include, but are not limited to, the following: Own application capabilities from concept through production, including requirements analysis, solution design, API development, implementation, testing, deployment, verification, and sustainment. Use AI development tools where they improve efficiency across coding, testing, schema changes, documentation, and deployment activities, while remaining fully accountable for the correctness, security, and maintainability of all delivered work. Model data as part of feature design by designing tables, keys, constraints, and indexes that efficiently and securely support applications and APIs, and evolve existing schemas as requirements change. Write SQL directly against Oracle and understand database execution and performance implications. Contribute to Angular front-end work as features require, whether or not it is your primary specialty. Own your changes through the pipeline, including build, security scanning, testing, deployment, and verification in the target environment. Write clean, well-tested code, clearly explain technical approaches for peer review, and provide substantive and constructive reviews of others' work. Investigate defects efficiently to identify root causes rather than stopping at the first plausible explanation. Participate in architecture and design decisions, and advocate for technically sound approaches supported by clear rationale. Knowledge and Skills: Demonstrated depth in relational databases, including designing schemas and writing, reading, and reasoning about non-trivial SQL, preferably in Oracle environments. Working familiarity with a modern front-end framework, such as Angular or React. Experience delivering software through CI/CD into a cloud environment using a mainstream toolchain, such as GitLab CI, GitHub Actions, Jenkins, Azure DevOps, Bitbucket Pipelines, or equivalent. Recent hands-on experience with a modern Java LTS release (21 or 25). What Distinguishes Strong Candidates You may not have experience in every area listed below. These qualifications are intended to provide insight into the technical and operational environment in which you will work and the capabilities that can contribute to success in this role. Data access breadth - Experience working with both JPA/Hibernate and JDBC-based approaches, with the ability to determine when each is appropriate; familiarity with schema migration tools such as Flyway or Liquibase. Cloud and operations - Experience with AWS services such as ECS/Fargate, RDS, S3, and IAM; container build and runtime environments; and infrastructure as code. Pipeline and supply chain - Experience with static analysis and dependency scanning tools such as SonarQube, Fortify, Trivy, or Snyk; artifact promotion and provenance; and pipeline development within a modern CI/CD platform. Security engineering - Experience with PKI and certificate management, TLS configuration, secrets management, FIPS-validated cryptography, and secure software development under DoD/DoW requirements. Regulated delivery - Experience delivering software in environments governed by STIGs, RMF, ATO processes, or similar security and compliance frameworks. Domain - Experience with federal financial management, Planning, Programming, Budgeting, and Execution (PPBE), or DoD/DoW systems acquisition. AI-assisted development - Demonstrated experience using AI-enabled development tools in production software environments, combined with the judgment to validate outputs, recognize limitations, and determine when independent technical analysis is required. Education and Work Experience: This position requires seven (7) or more years of professional software development experience, with substantial hands-on experience in Java and Spring Boot. This position requires a minimum of a Bachelor's degree from an accredited college or university in data science, computer science, software engineering, information systems, mathematics, or a closely related technical discipline. Experience in lieu of education may be considered if the individual has eleven (11) or more years of relevant technical training or professional work experience. Physical & Mental Qualifications: Must be able to sit, type, hear, see, and speak for extended periods of time. Must consistently work and type on a computer for prolonged periods of time. Must be able to able to communicate accurate information and ideas effectively so others can understand. Must be able to lift/carry at least 15 lbs. May be required to move about inside an office to access file cabinets, office supplies, equipment, and other work-related resources, etc. Security Clearance: Applicants selected for employment will be subject to a Federal background investigation and must meet additional eligibility requirements for access to classified information or materials. Active Secret clearance preferred; ability to obtain and maintain Secret clearance is required for this role. Travel: Some travel may be required. Hours: Normal work schedule hours may vary, Monday through Friday. May be required to work additional hours and/or weekends, as needed, to meet deadlines or to fulfill travel obligations. Salary Range: $140,000 - $160,000 per year The estimated salary range listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job posting and may be modified in the future. The disclosed salary range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. When determining an applicant's compensation, various factors are taken into consideration including, but not limited to: geographic location, relevant prior work experience, relevant training, special skills/competencies, education, clearance, licenses/certifications, labor categories/contract rates and other business needs. Please note: All candidates being considered for this position will be required to complete a technical assessment designed to evaluate their engineering and coding skills. The assessment may include general coding exercises, code testing and debugging, problem-solving, ability to follow technical requirements, and attention to detail. The assessment is expected to take approximately 60 minutes to complete. It is being administered for candidate evaluation purposes only, and any code or work product submitted as part of the assessment will not be used for business or production purposes. If you require a reasonable accommodation to complete the assessment, please notify our Human Resources team in advance so we can support your request. IDS offers a robust benefits package including employer paid health, dental, vision, disability, AD&D and life insurance plans for eligible employees. IDS also offers a variety of elective plans to eligible employees including flexible spending accounts, voluntary life insurance and supplemental insurance plans. Benefits become effective the first of the month following the start date of employment unless starting on the 1st of the month, in which case benefits are effective immediately upon the eligible employee's start date. IDS offers eligible employees eleven (11) paid holidays, generous PTO accruals starting at three (3) weeks per year, as well as a 401(k) safe harbor contribution upon eligibility. IDS also offers generous employee referral bonuses . click apply for full job details

Principal Java & GCP Solution Architect Principal Java and GCP Solution Architect who can bring both deep technical expertise and thought leadership to complex client engagements. This role requires a hands-on architect who can design modern Java microservices, shape cloud-native strategy on GCP, guide engineering teams, and serve as a trusted technical voice with senior client stakeholders. This is not a documentation-only architecture position-the successful candidate must remain close to implementation and be able to turn architectural direction into practical delivery outcomes. Join our growing Detroit-area team in a strategic Principal Java & GCP Solution Architect role. You'll work a hybrid / onsite /remote combin while remaining available for onsite collaboration as needed with clients, delivery teams, and technical leadership across the local Michigan area. What You Will Do Lead the architecture, design, and implementation of modern Java-based applications using cloud-native and microservices patterns. Translate business requirements into practical architectural blueprints aligned with enterprise standards and long-term strategy. Provide technical thought leadership across ongoing and future client engagements. Assess existing application landscapes and recommend modernization, migration, and optimization strategies. Design secure, scalable, resilient, observable, and high-performing distributed systems. Define application, integration, API, data, deployment, and operational architecture. Establish API-first strategies using REST, GraphQL, gRPC, and event-driven patterns. Design asynchronous and event-driven solutions using technologies such as Kafka or RabbitMQ. Guide engineering teams in the use of Java 11+, Spring Boot, microservices, containers, Kubernetes, and cloud-native design patterns. Lead architecture reviews, technical assessments, proofs of concept, and technology evaluations. Establish reusable architecture standards, reference patterns, engineering guidelines, and technical governance. Collaborate with developers, DevOps engineers, QA teams, security teams, product leaders, and business stakeholders. Provide technical guidance throughout design, development, testing, deployment, and production support. Guide containerization and orchestration strategies using Docker and Kubernetes, preferably Google Kubernetes Engine. Define CI/CD, GitOps, and infrastructure-as-code approaches using tools such as Jenkins, ArgoCD, Git, and Terraform. Design observability frameworks covering logs, metrics, traces, alerts, dashboards, and production diagnostics. Evaluate emerging technologies and determine where they can provide practical business and engineering value. Mentor senior developers, technical leads, and architects. Present architecture recommendations, trade-offs, risks, and decisions to senior technical and business stakeholders. Identify technical risks, dependencies, architectural gaps, and remediation strategies. Ensure architectural decisions support maintainability, security, performance, scalability, reliability, and cost efficiency. Required Qualifications Extensive experience designing and delivering enterprise Java applications. Deep expertise in Java 11 or later and Spring Boot. Proven experience architecting microservices and distributed systems. Strong production-level architecture experience with Google Cloud Platform. Experience designing and deploying applications using GCP cloud-native services. Strong hands-on knowledge of Docker and Kubernetes. Experience with Google Kubernetes Engine or comparable enterprise Kubernetes platforms. Strong understanding of RESTful APIs and API-first architecture. Experience with one or more additional integration patterns or technologies: GraphQL gRPC Event-driven architecture Asynchronous messaging Experience with Kafka, RabbitMQ, or comparable messaging technologies. Strong knowledge of scalability, resilience, fault tolerance, performance, security, and observability. Experience with SQL and NoSQL databases, including distributed-system data modeling. Experience with MongoDB, Cassandra, or comparable NoSQL platforms. Knowledge of API gateways and service-mesh technologies. Experience with Istio, Linkerd, or comparable service-mesh platforms. Experience with CI/CD and DevOps toolchains. Working knowledge of Jenkins, GitOps, ArgoCD, Terraform, or comparable tools. Strong experience designing logging, monitoring, metrics, and distributed-tracing solutions. Experience with one or more of the following: OpenTelemetry Prometheus Grafana ELK Stack Dynatrace Jaeger Zipkin Proven architecture-governance and technical-leadership experience. Strong client-facing communication and presentation skills. Ability to explain complex technical concepts, options, risks, and trade-offs to both technical and nontechnical audiences. Demonstrated ability to influence technical strategy and guide teams without relying solely on formal authority. Preferred Qualifications Experience leading complex cloud-modernization or monolith-to-microservices programs. Experience supporting multiple enterprise or client engagements. Consulting or systems-integration experience. GCP Professional Cloud Architect certification. Experience establishing enterprise architecture standards or cloud-native reference architectures. Experience designing highly available, high-volume, or mission-critical platforms. Experience conducting architecture assessments and technology-selection initiatives. Experience mentoring architects and senior engineers. Public speaking, technical writing, internal technology leadership, or architecture-community participation. Ideal Candidate The ideal candidate is more than a senior Java developer who has moved into architecture. You have personally owned architecture decisions for complex enterprise platforms and can explain how those decisions improved business, delivery, reliability, or operational outcomes. You remain technically close enough to implementation to guide developers, review designs, evaluate code-level implications, troubleshoot difficult issues, and challenge assumptions. At the same time, you are comfortable presenting to senior client stakeholders and influencing long-term technology strategy. You know how to introduce modern technologies thoughtfully. You evaluate business value, operational complexity, risk, scalability, and long-term maintainability rather than adopting tools simply because they are new. What Success Looks Like Success in this role includes: Building credibility as a trusted technical advisor Improving the quality and consistency of architectural decisions Establishing reusable Java and GCP architecture patterns Helping teams deliver scalable and reliable cloud-native solutions Identifying architecture risks before they become delivery or production issues Strengthening engineering practices across client engagements Contributing technical expertise that expands and deepens client relationships What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.

Job Description We are seeking a Senior Platform Engineer to help evolve and scale a modern Kubernetes-based infrastructure platform supporting mission-critical applications and engineering teams. This role is focused on platform reliability, automation, infrastructure engineering, and improving developer productivity through cloud-native technologies and DevOps best practices. The ideal candidate has strong Kubernetes expertise, hands-on Golang development experience, and a deep understanding of distributed systems, infrastructure automation, observability, and production operations. This is a remote-friendly role with flexible hours, provided there is overlap with Eastern Time business hours. Responsibilities Design, maintain, and improve highly available Kubernetes-based infrastructure platforms Partner with development, SRE, networking, and infrastructure teams to gather requirements and deliver scalable platform solutions Build and enhance automation tooling, CI/CD pipelines, and GitOps workflows Customize and extend open-source platform components written in Golang Contribute fixes, enhancements, and integrations to internally maintained platform tooling Support zero-downtime deployments, upgrades, and platform migrations Improve cluster observability, monitoring, logging, and alerting capabilities Automate issue detection, remediation, and operational workflows Assist application teams with onboarding workloads into Kubernetes environments Help modernize legacy applications for containerized deployment architectures Evaluate and test emerging platform technologies and infrastructure tooling Required Qualifications Strong production experience operating Kubernetes environments Hands-on Golang development experience Deep understanding of Kubernetes architecture, APIs, control plane, and node operations Experience implementing GitOps workflows using tools such as Argo CD or Flux Experience building automation and infrastructure tooling Experience with Helm and Kubernetes application packaging Experience with CI/CD pipeline design and implementation Strong Linux systems and networking knowledge Experience with ingress, reverse proxies, or service networking technologies Experience implementing monitoring and observability using Prometheus or similar tooling Experience with centralized logging and operational visibility platforms Strong troubleshooting and production incident response skills Preferred Qualifications Experience contributing to or modifying open-source infrastructure tooling Experience with Kubernetes networking and traffic management concepts Familiarity with cloud-native infrastructure patterns and distributed systems Experience with highly available infrastructure deployments Experience with persistent storage orchestration in containerized environments Familiarity with cloud providers or hybrid infrastructure environments Experience supporting developer enablement and platform engineering initiatives Additional Information Remote-first engineering environment High-impact infrastructure and platform ownership Collaborative engineering culture with strong automation focus Opportunity to influence platform architecture and engineering standards

Genesis10 is currently seeking a Lead/Senior Software Engineer - Remote for a contract position with an Agricultural Cooperative located in Inver Grove Heights, MN. This is a 9+ month contract opportunity. Compensation: $91.00 - $94.00 per hour, W2, based on qualifications Position Overview: In this role, you will design and deliver secure, scalable web and mobile applications, integrate identity and access management solutions using Okta, and manage cloud infrastructure through infrastructure as code using Terraform. You will collaborate with a talented team and make a measurable impact on the digital experience of our client's customers. The ideal candidate has strong technical expertise, excellent communication skills, and the ability to work collaboratively and independently. Key Responsibilities: Provide technical leadership to team, assist in work breakdown, and guide system design, keeping product outcomes, technical goals, and customer needs in mind Design, prototype, refine, and implement solutions to complex business and technical problems, considering system capacity, security, performance, maintainability, and desired outcomes Develop and support customer-facing applications using .NET, C#, Angular, and related web technologies Implement and support secure authentication and authorization using Okta, including application integrations, single sign-on (SSO), and standards such as OpenID Connect (OIDC) and OAuth 2.0 Develop and maintain Terraform configurations to provision and manage cloud infrastructure consistently across environments Collaborate with architecture, security, and platform teams to align application integrations and infrastructure automation with established standards and best practices Experience in preventing vulnerabilities from being integrated into products from 3rd party tools Stay current with web technologies and recommend improvements to application architecture, development practices, and engineering tools Collaborate with business stakeholders, subject matter experts, business analysts, quality assurance personnel, architects, and technical leads to deliver effective solutions Troubleshoot and resolve complex application, identity integration, and infrastructure issues Mentor less experienced software engineers and conduct code reviews to promote quality, security, and maintainability Participate in scheduled and unscheduled weekend or after-hours maintenance, support, and on-call duties as needed Primary Requirements: 10+ years of software development experience with web technologies, middleware, and backend databases Strong development skills in .NET, C#, Angular 16 or later, TypeScript, CSS, and/or Sass Hands-on experience integrating applications with Okta for authentication and authorization, including familiarity with SSO, OIDC, SAML, and OAuth 2.0 Hands-on experience AWS and using Terraform to provision and manage cloud infrastructure, including working with reusable configurations and infrastructure state Experience identifying and applying common software design patterns to build modular, maintainable, and scalable applications Understanding of interactive design principles and attention to technical and visual detail Comprehensive knowledge of the Software Development Life Cycle Demonstrated ability to troubleshoot and resolve complex technical issues Experience developing mobile applications and publishing them to the Google Play Store and Apple App Store Experience working on an Agile team using the Scrum framework in a fast-paced, collaborative environment Experience leading and mentoring developers in engineering best practices, troubleshooting, and professional growth Experience maintaining, upgrading, and re-factoring legacy applications, opportunistically prioritizing a tech debt and a tech roadmap for modernizing the tech stack Desired Skills: Bachelor s degree in Information Technology, Computer Science, Information Systems, or relevant experience Experience with advanced Okta capabilities, such as multifactor authentication (MFA), customer identity integrations, and identity lifecycle workflows Experience developing reusable Terraform modules, managing remote state, and integrating infrastructure validation and deployment into CI/CD pipelines Experience building and maintaining CI/CD pipelines and automating development and operational processes Experience deploying, operating, and managing services in AWS or other cloud environments Experience with AWS Lambda Experience writing APIs with Python Experience with using AI to generate and test software 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 Mission Operations Specialist - Ground Systems Status: Full Time, Exempt Location: Moriarty, NM Reports to: Senior Ground Systems Integrator Who Are We: Sceye is a high-growth technology company, building the next generation of instant communications, imaging, and remote sensing infrastructure through stratospheric platforms. Our lighter-than-air high-altitude platform systems (LTA HAPS) are capable of maintaining position over an operational area in the stratosphere (altitudes of 18 - 21km). They can carry multiple telecommunications, imaging, and remote sensing payloads, providing unique functionality, cost, environmental and societal advantages. Our customers & partners include some of the largest global telecommunications companies, infrastructure operators, climate researchers, civil and defense agencies. At Sceye, we aim high, and we want you to join us at the stratospheric edge of innovation. As part of our mission-driven team, you will contribute to building breakthrough technologies that are changing the way we connect and observe the world. We are looking for individuals who bring not only deep expertise but also bold vision and an unwavering commitment to excellence. About the Position: Sceye is seeking a Mission Operations Specialist - Ground Systems to deploy, integrate, configure, verify, operate, troubleshoot, and sustain mission-critical ground systems used for HAPS testing and global operations. The role provides primary technical depth in fielded ground system capability while maintaining secondary qualification in mission execution, test support, mission readiness, and operational surge activities. This is a junior, hands-on role spanning Linux-based computers, operator workstations, networks, mission applications, telemetry interfaces, RF equipment, data logging, time synchronization, storage, power, cabling, and deployable field hardware. The Specialist executes approved architectures and baselines, supports integration and readiness activities, and coordinates complex issues with the Senior Ground Systems Integrator, Ground Systems Engineer, Software, Enterprise IT, and Mission Operations. The role does not independently establish architecture or approve engineering design changes. What You Will Do: The Mission Operations Specialist - Ground Systems position will be a multi-functional role. We are looking for a positive, highly motivated professional with a strong work ethic, a collaborative and open-minded approach, and the humility and drive to work hard, continuously learn, and contribute beyond their primary area of expertise wherever the mission requires. Ground System Deployment and Integration Assist with assembly, configuration, integration, checkout, packing, deployment, installation, teardown, and redeployment of approved Ground Control Station configurations Integrate servers, Linux workstations, network devices, storage, RF and telemetry interfaces, Operator displays, communications equipment, power distribution, UPS equipment, cabling, and supporting field hardware Replicate approved ground system baselines for additional HAPS, missions, sites, training environments, and test configurations Configuration, Verification, and Acceptance Apply approved configurations to Linux systems, network devices, Operator stations, remote nodes, mission applications, and supporting infrastructure Assist with integration, checkout, acceptance, regression, and operational-readiness procedures Verify telemetry flow, network connectivity, communications, time synchronization, logging, storage, user access, remote connectivity, and Operator functionality Collect and organize logs, screenshots, test results, configuration data, and other objective evidence required for acceptance and troubleshooting Maintain inventories, equipment assignments, network diagrams, cable maps, build records, software and hardware versions, and deployment records Troubleshooting and Sustainment Assist with intermediate troubleshooting of ground system hardware, Linux services, networking, mission applications, data interfaces, telemetry, RF equipment, and Operator workstations Systematically isolate faults to equipment, service, interface, configuration, network path, power source, or external dependency Reproduce reported problems in integration or test environments when practical and document symptoms, actions, results, workarounds, and final resolution Coordinate complex software, automation, architectural, cybersecurity, or design issues with the responsible technical authority Perform preventive maintenance, spares management, lifecycle support, and readiness restoration for fielded systems Operational Readiness and Mission Support Assist with ground system readiness checks before simulations, tests, deployments, and live missions Verify availability and configuration of required hardware, software, networks, communications, documentation, tools, spares, and support equipment Provide ground system support during mission setup, checkout, shift turnover, live operations, maintenance, and recovery from outages Perform HAPS Operator or other assigned Mission Operations duties when qualified, current, and designated Support remote sites and distributed operations while maintaining escalation paths to centralized technical and operational authorities Standardization, Training, and Improvement Create and maintain installation instructions, configuration guides, checkout procedures, troubleshooting references, deployment checklists, and sustainment records Standardize labeling, cabling, equipment layouts, packing, inventories, readiness evidence, and field practices across sites Support scripted tests, automation, validation tooling, and data collection with the Ground Systems Engineer What We Are Looking For: Knowledge, Skills, and Abilities Advanced hands-on ability with Linux systems, Ethernet networking, IP addressing, managed switches, remote access, cabling, racks, field hardware, and systematic troubleshooting Ability to integrate and sustain mission-critical systems using approved designs, configuration baselines, and technical procedures Working knowledge of telemetry, RF communications, logging, data storage, time synchronization, operator workstations, and distributed-system dependencies Ability to distinguish authorized configuration work from changes requiring technical-authority or configuration-control approval Strong technical-writing and documentation skills for diagrams, build records, troubleshooting notes, checklists, and acceptance evidence Ability to work safely around electrical equipment, racks, antennas, power distribution, UPS systems, fiber, copper cabling, and field enclosures Ability to coordinate effectively across Mission Operations, Software, Enterprise IT, Safety, and external site personnel Ability to lead small integration and deployment efforts while remaining hands-on Strong attention to detail when handling safety-critical content, records, and controlled documents Ability to learn unfamiliar HAPS systems, mission software, communications systems, procedures, and operational concepts Required Qualifications: Four or more years of experience assembling, configuring, integrating, operating, maintaining, or troubleshooting technical systems in aviation, aerospace, telecommunications, field service, IT, defense, or mission-critical operations Demonstrated experience with Linux-based systems and command-line environments Working knowledge of Ethernet networking, IP addressing, cabling, switches, and connectivity troubleshooting Experience with Bash, Python, Git, containers, virtualization, infrastructure automation, or configuration-management tools Experience executing technical procedures, integration tests, acceptance checks, or system-readiness activities Experience maintaining configuration records, equipment inventories, diagrams, build records, or comparable technical documentation Ability to lift, move, install, and safely work around deployable technical equipment consistent with applicable workplace requirements Ability to travel and work nonstandard schedules during deployments, tests, and live missions Ability to work in a safety-focused and procedurally disciplined operational environment Preferred Qualifications: Associate or Bachelor's degree in Information Technology, electronics, networking, aviation technology, engineering technology, or a related field, or equivalent advanced hands-on experience Experience supporting ground control systems, UAV operations, aerospace testing, telemetry networks, or mission-control environments Familiarity with VLANs, firewalls, VPNs, managed switches, remote access, and cybersecurity-controlled environments Experience with RF communications, software-defined radios, antennas, telemetry, precision timing, or radio-network equipment Experience with equipment racks, power distribution, UPS systems, fiber, copper cabling, environmental controls, and deployable enclosures Prior military, aviation, telecommunications, field-service, or remote-site operations experience What We Offer: At Sceye . click apply for full job details

Job Description Job is onsite in Ashburn, Virginia The Senior Data Center Network Engineer is responsible for the hands-on configuration, implementation, troubleshooting, maintenance, and lifecycle support of enterprise routing and switching infrastructure within an onsite Internet Data Center environment. The position's primary responsibility is network engineering: maintaining reliable Layer 2 and Layer 3 connectivity, implementing approved network changes, resolving complex incidents, supporting upgrades and migrations, and protecting network availability and performance. The engineer must be comfortable working directly with production routers, switches, interfaces, routing protocols, VLANs, trunks, circuits, and related network services. The role operates and supports Data Center operations, including DCIM data accuracy, rack-level equipment installation, structured cabling, fiber and copper cross-connect coordination, carrier circuit turn-up, technical documentation, vendor coordination, and participation in scheduled maintenance windows. This is a senior, hands-on position-not a primarily architectural, project-management, or remote-monitoring role. Key Responsibilities 1. Routing and Switching Engineering - Primary Focus Configure, implement, operate, and troubleshoot enterprise routers and switches in a production IDC environment. Perform hands-on Layer 2 administration, including: VLAN creation and modification Access and trunk port configuration Switch-port activation and validation Spanning-tree and loop-prevention troubleshooting Link aggregation and redundant-link support Interface, transceiver, and physical-connectivity troubleshooting Perform hands-on Layer 3 administration, including: IP addressing and subnet implementation Static and dynamic routing BGP and OSPF configuration and troubleshooting Route-policy, redistribution, and path-selection troubleshooting Gateway, adjacency, reachability, and failover validation VRF and network-segmentation support, where applicable Analyze and resolve routing, switching, packet-loss, latency, reachability, convergence, interface, and circuit-related problems. Use command-line, monitoring, logging, and diagnostic tools to isolate faults across physical, data-link, network, and transport layers. Review existing configurations, identify operational risks or inconsistencies, and recommend practical corrective actions. Develop and execute pre-change checks, implementation steps, rollback procedures, and post-change validation. Support network moves, adds, changes, migrations, upgrades, hardware refreshes, and decommissioning activities. Install and validate software or firmware upgrades in accordance with approved change-management procedures. Monitor network availability, utilization, error conditions, and performance trends; proactively address conditions that could affect service. Support redundancy, resiliency, and failover testing for network paths and critical connectivity. Maintain current network diagrams, configuration records, interface assignments, IP-addressing information, and as-built documentation. 2. Incident, Problem, and Change Management Respond to network incidents and service degradations; perform technical triage, fault isolation, recovery, and escalation. Lead or meaningfully contribute to root-cause analysis for recurring or high-impact network issues. Document troubleshooting actions, technical findings, corrective measures, and final resolution details in the applicable ticketing system. Open, update, monitor, resolve, and close incident, problem, service-request, and change records. Prepare and execute network changes under established approval and change-control processes. Coordinate implementation schedules, technical dependencies, maintenance windows, validation activities, and rollback readiness. Participate in planned after-hours maintenance when changes cannot safely be performed during normal business hours. Work with internal engineering teams, operations personnel, service providers, carriers, and equipment vendors to resolve hardware, software, circuit, and interoperability issues. 3. Data Center and Physical Network Infrastructure Support onsite routers, switches, network-management appliances, and associated data-center connectivity. Install, rack, cable, power, label, and validate network equipment in accordance with approved designs and data-center procedures. Replace or upgrade line cards, supervisor modules, power supplies, optics, interface cards, and other field-replaceable network components. Support fiber and copper cross-connects between carrier demarcation points, meet-me rooms, patch panels, cabinets, and network devices. Coordinate circuit extensions, port assignments, optics, demarcation details, patching, and end-to-end connectivity testing. Verify cable type, source and destination, equipment port, labeling, signal condition, and physical path before service activation. Troubleshoot structured-cabling and patching issues and coordinate corrective work with IDC personnel or cabling vendors. Maintain orderly cable routing, grooming, labeling, and documentation consistent with IDC standards. Support equipment moves, adds, changes, rack relocations, hardware refreshes, and decommissioning activities. Coordinate onsite vendor access, equipment delivery, installation, replacement, return-material authorization, and technical service actions. 4. DCIM and Configuration Documentation Use the designated Data Center Infrastructure Management (DCIM) platform as an operational system of record-not solely as a reference tool. Create, validate, and update records for: Installed routers, switches, modules, and related network equipment Rack, cabinet, and rack-unit locations Asset identifiers and serial numbers Physical ports, patching, structured cabling, and cross-connects Equipment moves, additions, replacements, and removals Reconcile DCIM information with the physical environment and correct discrepancies. Update DCIM and related as-built records promptly following installations, changes, cable work, or decommissioning. Maintain network diagrams, rack elevations, cable schedules, port maps, circuit records, methods of procedure, test results, and operational runbooks. Ensure documentation accurately reflects the implemented production environment. 5. Operational Coordination and Support Work collaboratively with network, security, server, storage, application, facilities, carrier, and IDC operations teams. Communicate technical issues clearly to both technical and non-technical stakeholders. Provide status updates during incidents, maintenance events, circuit implementations, and infrastructure projects. Support technical planning and execution for network migrations, equipment refreshes, capacity changes, and data-center initiatives. Participate in an after-hours or on-call support rotation for critical incidents and scheduled maintenance, as required. Follow applicable security, access-control, safety, incident-management, change-management, and data-center operating procedures. Required Qualifications Minimum of 10 years of hands-on routing and switching experience in enterprise, service-provider, government, or similarly complex production networks. Demonstrated experience independently configuring, implementing, maintaining, and troubleshooting production routers and switches. Strong knowledge of: TCP/IP and IPv4 networking Layer 2 switching, VLANs, trunking, and redundancy Layer 3 routing and route selection BGP and OSPF Network segmentation and resilient network design Network monitoring and diagnostic techniques Experience planning and executing production network changes, maintenance activities, upgrades, migrations, and cutovers. Experience troubleshooting complex connectivity and performance issues across network devices, carrier circuits, and physical infrastructure. At least three contiguous years of hands-on experience working in an IDC or comparable data-center environment. Practical experience with data-center physical infrastructure, including equipment installation, rack-level work, fiber and copper cabling, patch panels, transceivers, and cross-connects. Working experience with a DCIM platform, including validating and maintaining equipment, rack, port, cable, or asset records. Experience with incident, problem, and change-management processes and associated ticket documentation. Ability to produce accurate network diagrams, configuration records, implementation plans, rollback procedures, and as-built documentation. Strong analytical, troubleshooting, written-communication, and stakeholder-coordination skills. Ability to work independently onsite while collaborating effectively with distributed engineering and operations teams. U.S. citizenship. Ability to obtain and maintain a Public Trust clearance. Ability and willingness to work onsite Monday through Friday in Ashburn, Virginia for the duration of the engagement. Ability to support scheduled evening, overnight . click apply for full job details

Job Description Summary: Axos Bank is hiring a Senior Apigee Engineer to support and grow the bank's API gateway platform. Day to day, you will assist with API setup, shared components, security policies, environments, platform administration, and the release process. This is a hands-on individual-contributor role. You will work with Infrastructure, Network, and Security, and with the engineering teams that build on the platform, contributing to the technical direction of the gateway and supporting the engineers who use it. This is an onsite position that can sit at any of our Axos office locations. Remote or hybrid work is not available. Responsibilities: Own the Apigee X platform: API proxies, shared flows, policies, environments, deployments, and day-to-day operations Document the platform: architecture, standards, and runbooks Define and enforce proxy standards: structure, naming, versioning, deprecation, error handling, and reusable shared flows Manage the supporting pieces with Infrastructure and Network: DNS, certificates, TLS, and environment configuration Implement gateway security: OAuth 2.0 and OIDC, JWT validation, mTLS, quota and spike arrest, and threat protection Define risk tiers and approval gates for API changes in a regulated environment, and support audit and examination Build and maintain CI/CD pipelines and promotion gates for proxy and policy artifacts Monitor platform health and API performance; define SLOs, alerts, and runbooks; lead root-cause analysis for gateway incidents Onboard consuming teams and advise them on API design Route LLM API traffic through the gateway with provider abstraction, failover, authentication, rate limiting, and logging Apply AI safety controls (prompt-injection defense, PII detection and redaction, response filtering) using Model Armor or an equivalent Establish patterns for exposing MCP servers and tools to internal agents through the gateway, with the same authentication and audit controls Requirements: Bachelor's degree in related field required 5+ years of enterprise API architecture or engineering experience, including hands-on ownership of Apigee (X or Edge) Experience working with cloud platforms, especially Google Cloud (IAM, VPC, and networking) Preferred: LLM API integrations shipped to production (OpenAI, Anthropic, Vertex AI, AWS Bedrock, or similar) Deep API security experience: OAuth 2.0, OIDC, mTLS, and JWT, including delegated-access patterns for AI agents MCP server design and governance; Model Armor or comparable AI safety controls CI/CD and Terraform for gateway artifacts; Python, Java, or Node.js Familiarity with GLBA and model risk guidance (SR 11-7) as they apply to AI Experience in financial services or another regulated industry Apigee or Google Cloud certification Axos Employee Benefits May Include: Medical, Dental, Vision, and Life Insurance Paid Sick Leave, 3 weeks' Vacation, and Holidays (about 11 a year) HSA or FSA account and other voluntary benefits 401(k) Retirement Saving Plan with Employer Match Program and 529 Savings Plan Employee Mortgage Loan Program and free access to an Axos Bank Account with Self-Directed Trading

Job Description Staff Data Engineer Location: Scottsdale, AZ Monday-Thursday onsite, Friday remote We're partnering with a hospitality technology company to find a Staff Data Engineer to help build and improve a cloud-based data platform supporting thousands of hotel properties. The platform handles reservation, guest, rate, and operational data used across the business. This is a hands-on technical leadership role for someone who enjoys building data systems while helping shape the architecture behind them. You'll work across multiple initiatives, guide technical decisions, and mentor senior engineers. This position has no direct reports. What you'll do: Design, build, and improve data pipelines and distributed processing solutions using AWS, Apache Spark, Python, and SQL. Help define the platform's architecture, engineering standards, and technical direction. Improve scalability, performance, reliability, and monitoring across data systems. Partner with engineering teams and business stakeholders to translate requirements into practical technical solutions. Mentor senior engineers through design discussions, code reviews, and hands-on problem solving. Support automated testing, CI/CD, and infrastructure as code practices. What we're looking for: 8+ years of relevant data engineering experience. Strong hands-on expertise with AWS, Apache Spark, Python, and SQL. Experience designing cloud data platforms, distributed systems, and data warehouse solutions. A track record of owning complex technical projects and guiding architecture decisions across teams. Experience improving production systems through monitoring, troubleshooting, and performance optimization. Strong communication skills and the ability to explain technical decisions to different audiences. Experience with generative AI is a plus. Candidates must be authorized to work in the U.S. without sponsorship.

Job Description Job Description: The DevOps Engineer is responsible for managing and maintaining the global enterprise platforms, maintaining the templates for the monitoring systems, integration to BigPanda, the quality of the alerting into the BigPanda eventing platform, CMDB integration, monitoring Best Practices for AWS cloud. 10 plus years working in Information Technology 4 plus years running production systems on AWS Datadog Experience with site monitoring and log monitoring tools, specifically Datadog.Certified AWS SysOps Administrator a plus. Experience with TypeScript & JavaScript Experience with DynamoDB, S3 and Cognito Good understanding of Serverless and CloudFormation Understanding of best practices for AWS, EC2, Couchbase and monitoring of containers Manages capacity planning, updates, upgrades and internal integration. Responsible for administration of monitoring tools in the APM space Coordinates with DevOps, Problem Management, etc escalations to support monitoring Manages uptime and availability and reporting Mentor, educate, and train support personnel on how to use tools Maintains knowledge on current technology by reading technology periodicals, evaluating new technologies and attending trade-shows, technical seminars and training sessions. Performs other duties as assigned and required. Duties and responsibilities may change from time to time without notice and include but are not limited to the duties described above Required Qualifications - Knowledge/Skills: Manage monitoring of overall application availability, latency and system health Determine alert standards for production environments and implement them Develop strategies for logging and indexing to improve visibility to development teams Develop and manage configuration scripts for Amazon hosted infrastructure Work with the development team and management to ensure high availability Familiarity with configuration management software such as Ansible Build reporting dashboards to assist visibility of cost and stability Provide support to teams for alarms and outages on an as-needed basis Experience with Windows Server, IIS, Docker/Kubernetes Strong understanding of systems, networks and troubleshooting techniques. Experience in automated build pipeline, and continuous integration. Source control, branching, and merging: git/svn/etc (Repository Management) Communication Skills- The ability to communicate verbally and in writing with all levels of employees and management, speaks and writes clearly and understandably at the right level. Integrity and Trust- Involves being widely trusted, being seen as a direct, truthful individual, can present the unvarnished truth in an appropriate and helpful manner, keeps confidences, admits mistakes, and doesn?t misrepresent him/herself for personal gain. Teamwork- Works well in a collaborative setting, volunteering for and completing assignments, acting as a positive team member by contributing to discussions, developing and maintaining relations. Technical Expertise- A commitment to increasing knowledge and skills in current technical/functional area, keeping up to date on technical developments, staying informed as to industry practices, knowing how to apply relevant technical processes to appropriate business needs. Top Skill Set / Job Characteristics: Senior-level AWS production support and engineering experience: 7 plus years of hands-on DevOps, SRE, platform engineering, or cloud infrastructure experience, including at least 5 plus years supporting, troubleshooting, and improving production workloads on AWS. Must be able to independently diagnose complex issues, lead root-cause analysis, and drive reliable solutions across services such as ECS, EKS, S3, Lambda, DocumentDB, DynamoDB, IAM, networking, logging, and monitoring. Preferred certification: AWS Certified DevOps Engineer - Professional or AWS Certified Solutions Architect - Professional. Associate-level certification may be considered with strong hands-on senior experience. Advanced Terraform and infrastructure-as-code experience: 5 plus years designing, developing, debugging, and maintaining Terraform-based infrastructure for AWS at enterprise scale. Candidate should be comfortable building reusable modules, managing remote state, reviewing plans, troubleshooting drift, and applying change automation safely across non-production and production environments. Must have direct experience provisioning and managing AWS infrastructure using Terraform, not only consuming prebuilt modules. Expected to contribute to module design, code reviews, standards, documentation, and reusable patterns for services such as EKS, ECS, EC2, S3, IAM, networking, and supporting AWS services. Strong understanding of Terraform execution plans, state management, resource dependencies, module versioning, policy controls, and promotion of infrastructure changes through controlled environments. Experience with automated validation, testing, and CI/CD integration for infrastructure changes is strongly preferred. Container platform and Kubernetes/EKS depth: 5 plus years of experience with containerized workloads and 3 plus years of hands-on Kubernetes or Amazon EKS experience in production environments. Candidate should understand cluster operations, workload deployment, Helm, kubectl, autoscaling, networking, IAM/RBAC integration, troubleshooting, and platform reliability patterns. Manage and maintain Helm charts and Kubernetes manifests for repeatable application and platform deployments. Lead or significantly contribute to production deployments, upgrades, incident resolution, and operational support for Kubernetes/EKS-based platforms. Demonstrated experience deploying and troubleshooting distributed applications using Docker, ECS, Kubernetes, or EKS, including service discovery, ingress/load balancing, network policies, and logging/monitoring integration. Experience with GitOps or CI/CD-driven deployment patterns, including GitHub Actions, GitLab CI, Jenkins, Harness, Argo CD, Flux, or similar tooling. Preferred certification: Certified Kubernetes Administrator, Certified Kubernetes Application Developer, or equivalent hands-on container platform experience.

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Role Overview The Lead Business Strategic Insights role partners closely with leaders across Commercial Strategy & Innovation (CSI) to develop data-driven solutions that accelerate business growth, enhance customer outcomes, and bring innovative products to market. This individual will leverage advanced analytics, artificial intelligence, machine learning, and business insights to solve complex challenges, uncover opportunities, and drive strategic decision-making across the organization. This role will participate throughout the full solution lifecycle, from ideation and proof of concept through production deployment and business adoption. Success in this position requires a combination of analytical expertise, business acumen, technical proficiency, and stakeholder influence. Key Responsibilities Accelerate AI-enabled decision-making by partnering with data governance, product, and technology teams to leverage governed data assets, semantic layers, and AI/LLM technologies that enable business users to access trusted insights more efficiently. Design and develop heuristics, optimization models, and advanced analytics solutions across customer, product, and operational domains to improve business outcomes. Utilize qualitative and quantitative data to identify opportunities, develop hypotheses, pilot proof-of-concept solutions, and scale successful models across the enterprise. Apply data science and analytical methodologies to identify market trends, process improvement opportunities, strategic synergies, and actionable business recommendations. Support digital data acquisition and integration strategies while building scalable data pipelines that complement existing enterprise data assets. Leverage CSI's data infrastructure to develop next-generation analytical models focused on customer value creation, margin expansion, and operational efficiencies. Drive experimentation and causal learning through pilots, A/B testing, and other measurement methodologies to quantify business impact and improve decision-making. Break down complex business challenges into scalable workstreams and collaborate across functional teams to drive solution adoption and implementation. Develop and deploy scalable Python-based APIs and data products that integrate with enterprise applications and business systems. Build and scale AI agents that enable business users to interact with data using natural language, uncover insights, identify opportunities, and make faster, more informed decisions. Present findings, recommendations, and business cases to senior leaders and cross-functional stakeholders. Minimum Requirements Bachelor's degree in Business, Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field, or equivalent experience. Typically requires 7+ years of relevant professional experience in analytics, data science, business intelligence, strategy, or a related discipline. Critical Skills 5+ years of experience in analytics, data science, business intelligence, or a related field. Proven experience leveraging analytics to drive measurable business value and strategic outcomes. Strong understanding of software engineering principles and API development used to commercialize analytical products and solutions. Advanced communication, presentation, and stakeholder management skills. Hands-on experience with Python, including libraries such as Pandas, Scikit-learn, NumPy, and related tools. Advanced SQL skills with experience querying and manipulating large, complex datasets. Strong understanding of machine learning techniques, including clustering, regression, anomaly detection, forecasting, classification, deep learning, and time series analysis. Experience working with cloud-based data platforms and modern analytics ecosystems. Experience building, deploying, or leveraging AI and generative AI solutions within business environments. Preferred Qualifications Experience working in healthcare, distribution, pharmaceutical, or supply chain environments. Experience with experimental design, causal inference, and business impact measurement. Familiarity with modern AI frameworks, large language models (LLMs), and agentic AI solutions. Experience building scalable data products and deploying machine learning models into production environments. Demonstrated success influencing business decisions through analytics and strategic insights. Additional Skills Passion for using data to solve complex business problems. Strong business acumen and strategic thinking capabilities. Ability to balance technical depth with business priorities. Self-starter with a continuous improvement mindset. Strong collaboration and relationship-building skills across functions and leadership levels. This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $136,300 - $227,100 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

Sr. Staff AI Engineer (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI 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).