325 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: Data Engineer - Real-Time & Cloud Platforms Location :- Nashville, TN ( Onsite from day 1 ) Duration: Long Term Job Summary As a Consulting Data Engineer, you will architect, build, and optimize the next generation of our real-time healthcare data platforms and event-driven architectures. You will play a foundational role in moving our clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, you will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. You will bridge the gap between complex electronic health records (EHR) and data consumer-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities • Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). • Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). • Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. • Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. • Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. • Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. • Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications Experience & Education • 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. • 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). • Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). True Streaming Focus • Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. • Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Healthcare-Specific Tech Stack • Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. • GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). • EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Cloud Ecosystem & Modern Tooling • Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). • Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). • Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). • DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform.

Job Description We have an exciting opportunity for Network Architect. Role - Network Architect Location: Phoenix AZ (onsite) Salary: $130K Position Type: Full-time only Job Summary: We are looking for an experienced Network Architect with deep expertise in Cisco Application Centric Infrastructure (ACI) and cloud networking to design, deploy, and optimize enterprise network infrastructure. The ideal candidate will be proficient in Cisco ACI fabric design and management, with strong skills in integrating cloud environments such as AWS, Azure, or Google Cloud into a hybrid or multi-cloud architecture. Key Responsibilities: •Architect, design, and implement Cisco ACI solutions for scalable and secure data center networks. •Lead the integration of Cisco ACI with cloud networking environments (AWS, Azure, GCP), ensuring seamless connectivity and security. •Develop and enforce network policies, segmentation, and micro-segmentation strategies using Cisco ACI and cloud-native tools. •Collaborate with cloud architects and security teams to build hybrid cloud networking architectures. • Design, implement, and support F5 BIG-IP solutions, including LTM, GTM/DNS, SSL offloading, traffic management, high availability, and application delivery services. •Troubleshoot complex network issues spanning on-premises Cisco ACI fabric and cloud networks. •Monitor network performance, capacity planning, and recommend improvements. •Stay current with Cisco ACI enhancements, cloud networking trends, and emerging technologies. •Support the implementation of IaC (Infrastructure as Code) for network components using tools like Terraform, CloudFormation, or ARM templates. •Provide technical leadership and mentoring to network and cloud teams. •Stay up-to-date on emerging technologies, trends, and best practices in cloud and enterprise networking. Preferred Certifications: •Cisco Certified Network Professional Data Center (CCNP Data Center) •Cisco Certified Internetwork Expert (CCIE) - Data Center or Enterprise Infrastructure •AWS Advanced Networking Specialty •Microsoft Certified: Azure Network Engineer Associate •Google Cloud Professional Cloud Network Engineer Thanks & Regards Sumit Talekar Associate Manager - TA Rezolve AI Limited Add : 499 Park Ave, Suite 1003, New York, NY 10022, USA Contact : + WebSite:

Job Description Overview: We are seeking an elite, systems-thinking Technical Product Owner to orchestrate the lifecycle, scaling, and architectural evolution of our core Enterprise Platform. This is not a front-end or basic UI workflow role. You will own the core backend engine-the secure, unified, and highly optimized bedrock that enables hundreds of internal engineering, analytics, and business units to build and deploy mission-critical capabilities safely. You will sit at the intersection of enterprise cloud infrastructure, APIs, data platforms, and rigorous regulatory compliance, transforming complex technical requirements into robust, scalable platform services. Key Responsibilities Enterprise Platform & API Roadmap Own and execute the core backend platform roadmap, backlog, prioritization matrix, and enterprise release plans. Scale foundational platform services, including enterprise data pipelines, shared microservices, API gateways, and system integrations. Treat internal developers and platform consumers as your primary customers by delivering reliable internal APIs, SDKs, and clear architectural documentation. "Paved Road" Governance, Security & Compliance Partner closely with Cybersecurity, Legal, and Compliance teams to enforce strict security and data-privacy guardrails across the platform. Bake programmatic guardrails into backend services for PII/PHI data masking, role-based access control (RBAC/IAM), data lineage, and auditability. Translate complex healthcare compliance frameworks (e.g., HIPAA, HITRUST, SOC 2) directly into automated backend platform features. Platform Reliability, Performance & Unit Economics Optimize cloud infrastructure footprints, API latency, and platform operating costs without sacrificing system performance or availability. Ruthlessly balance new platform feature delivery with infrastructure scalability, technical debt reduction, and system reliability. Agile Dependency & Stakeholder Orchestration Deconstruct complex architectural initiatives into crisp technical epics, user stories, and quantitative acceptance criteria. Lead Scrum/Agile ceremonies, including sprint planning, daily stand-ups, backlog refinement, and cross-team dependency mapping across multiple engineering squads. Communicate roadmap progress, architectural risks, and delivery status clearly to both Principal Architects and executive business stakeholders. Required Qualifications Experience: 5+ years of explicit experience driving technical product ownership, technical product management, or platform management within a large-scale enterprise environment. Domain Expertise: Proven track record delivering backend infrastructure components, enterprise data platforms (e.g., Snowflake, Databricks, cloud data warehouses), or highly distributed API/microservices systems. Regulated Industry DNA: Direct experience navigating the data complexities and strict security architectures of highly regulated ecosystems (Healthcare, HealthTech, Health Insurance, or comparable regulated enterprises). Technical Literacy: Ability to challenge architectural decisions, review API contracts and data models, and speak the native language of Principal Architects and backend engineers. Compliance Awareness: Strong familiarity with data governance frameworks and security compliance standards (e.g., HIPAA, HITRUST, SOC 2, PII/PHI protection). Agile Rigor: Mastery of Scrum/SAFe frameworks at scale, with deep proficiency using Jira and Confluence to manage complex cross-team dependencies. Preferred Qualifications (Nice to Have) AI-Enabled Capabilities: Exposure to integrating or governing enterprise AI tools, intelligent automation, or AI-assisted product workflows.

Job Description Goliath is partnered with an established quantitative trading firm seeking an engineer to improve the performance of machine learning models in production. Working within its central engineering group, you'll tackle the hardware and software challenges behind fast, reliable inference. The work combines hands-on GPU optimization with broader decisions about how and where models should run, alongside specialists in machine learning, computing infrastructure, and hardware acceleration. They are currently looking for a Machine Learning Performance Engineer based in New York. Write and tune GPU kernels to accelerate production inference Investigate performance bottlenecks, from memory access patterns to communication between hardware components Reduce model size and computational demands while preserving numerical stability Compare hardware options and help determine the best deployment approach for demanding trading workloads Partner with researchers and engineering teams to bring optimized models into production Essential Skills 2+ years improving deep learning inference performance in production environments where speed or throughput is critical Strong Python and C++, with experience working beneath the high-level APIs of frameworks such as PyTorch or JAX Practical experience developing custom GPU kernels and using inference optimization tools Detailed knowledge of GPU execution, memory behavior, and mixed-precision computation A measurement-driven approach to profiling systems and comparing performance across different hardware architectures Preferred Skills Experience deploying or optimizing models on FPGAs or ASICs Familiarity with inference workloads where individual predictions must be delivered with exceptionally low latency Candidates from outside financial services are welcome; trading experience is not required. Compensation $200K-$300K base salary plus discretionary bonus Would this interest you? If so, apply & Goliath will be in contact!

Job Description Overview: At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer's and partner's needs and solve their challenges. Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve. You'll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about-locally and globally. Come make an impact every day at Zebra. What We're Looking For: As an Advanced Network Engineer at Zebra Technologies, you will be a vital leader within our Global IT Network Team. In this role, you won't just keep things running-you will serve as the technical spearhead for complex, global network implementations. You will help shape the future of Zebra's infrastructure by establishing network architecture standards and directing the deployment of innovative solutions. If you are passionate about driving enterprise-level IT infrastructure forward, collaborating seamlessly across a global IT landscape, and mentoring junior engineers to reach their full potential, we want you on our team. What You Will Do: Architecture, Design & Strategy Architect the Future: Lead the research, design, and planning of our enterprise network and network security architecture. Evaluate & Innovate: Perform advanced technology evaluations and Proof of Concept (PoC) testing. Develop network security solutions, including financial analysis of alternatives, to meet evolving business needs. Set the Standard: Develop, review, and approve installation requirements across LAN, WAN, VPN, firewalls, routers, and related network devices. M&A Integration: Lead network assessments for Mergers and Acquisitions (M&A). Analyze pre-built environments and develop project timelines to establish standardization. Security, Resilience & Compliance Ensure Business Continuity: Design and implement robust network infrastructure to support critical Disaster Recovery and Cyber Recovery exercises. Strengthen Posture: Continuously review system network security measures and implement necessary enhancements while strictly adhering to change control processes. Maintain Compliance: Ensure all network operations comply with applicable policies, procedures, and industry best practices, while providing Level 3 validation of network security changes. Operations, Support & Leadership Act as the Expert: Serve as the Subject Matter Expert (SME) and provide strategic consulting support to business stakeholders. Level 3 Escalation: Respond to complex Network Security and Operations incidents, providing advanced troubleshooting, thorough post-event analysis, and participating in an on-call rotation. Drive Project Delivery: Independently manage projects, deliverables, and timelines for ongoing system upgrades. Empower the Team: Champion "shift-left" opportunities by producing detailed High-Level Designs (HLD), Low-Level Designs (LLD), standard operating procedures (SOPs), and knowledge base articles. Core Networking, Cloud & Security Expertise Deep Networking Knowledge: Master-level understanding of data networking theory, advanced routing (BGP, OSPF), TCP/IP fundamentals, directory services, and complex LAN/WAN switching topologies. WAN & Cloud Infrastructure: Proven hands-on experience manipulating routing metrics for WAN protocols. Thorough understanding of cloud networks (AWS/Azure/GCP), specifically designing intra- and inter-cloud secure routing utilizing native cloud technologies alongside enterprise firewalls. Advanced Security Foundation: Deep knowledge of security protocols, cryptography, and zero-trust concepts. Strong understanding of how systems are compromised based on known vulnerabilities to proactively secure the network. Leadership & Business Acumen Technical Mentorship: A natural leader who provides clear direction, guides cross-functional teams on standardized technology integration, and leads junior technical staff by example. Global & Customer-Centric Mindset: Demonstrates strong empathy for global cultural differences and a highly customer-centric approach to IT support. Analytical Problem Solving: Top-tier troubleshooting and root-cause analysis skills under pressure, paired with excellent communication skills to consult with cross-functional stakeholders. Minimum Qualifications: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field. Minimum of 8+ years of progressive, proven experience in enterprise-level network engineering, network security, and infrastructure architecture. Demonstrated experience operating within a large, complex, global IT environment. Zscaler Zero Trust Ecosystem: Deep familiarity with Zscaler Internet Access (ZIA), Zscaler Private Access (ZPA), Zscaler Digital Experience (ZDX), and Zscaler Branch Connectors (ZTB). Data Center Automation & Visibility: Hands-on experience utilizing Cisco Nexus Dashboard for centralized fabric management, proactive network monitoring, and operational automation across complex data center environments. Enterprise Wireless & Edge: Proficiency in HPE Mist Wireless, Cisco Meraki, and Cisco Enterprise Wireless technologies. Next-Generation Firewalls: Extensive experience with Palo Alto Firewalls, supported by an active Palo Alto Networks Certified Network Security Engineer (PCNSE) or Administrator (PCNSA) certification to validate deep expertise in designing, deploying, and managing enterprise firewall. Travel Requirements: Willingness and ability to travel up to 10% globally or domestically as needed for major project implementations or M&A integrations.architectures. Preferred Qualifications: CCNP/CCIE (Enterprise and/or Data Center) JNCIP-MistAI Zscaler Digital Transformation Engineer (ZDTE) CISSP or PCNSE Equal Opportunity Employer: Zebra is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability and protected veteran status, or any other basis prohibited by law. If you are an individual with a disability and need assistance in applying for a position, please contact us at . Know Your Rights: - 10/EEOC_KnowYourRights_screen_reader_10_20.pdf Conozca sus Derechos: -_EEOC_KnowYourRightsSp_10_20.pdf We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at . Pay Range: $108,960.00 - $163,440.00 Annual Incentive Compensation: In addition to base pay, Zebra offers this role the opportunity to earn a performance-based annual cash incentive, at a target equal to 12% of base pay, in accordance with the terms of the applicable incentive plan. Zebra Total Rewards: Zebra Total Rewards includes more than just pay and is structured to meet the needs of our changing global business and evolving talent. We are committed to providing our employees with a benefits program that is comprehensive and competitive - including healthcare, wellness, inclusion networks, and continued learning and development offerings. We offer community service days, in addition to the traditional insurances, compensation, parental leave, employee assistance program and paid time off offerings depending on the country where you work. Salary offered will vary depending on your location, job-related skills, knowledge, and experience. Additionally, all Zebra roles are eligible for cash incentive programs. For example, sales roles have additional opportunity to earn substantial variable compensation tied to quota achievement. In most other roles, the Zebra annual cash incentive program links Company and individual performance together. Some roles may also be eligible for long-term incentive equity awards. Benefits: We understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success. Job Posting Statement: To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system . click apply for full job details

Job Description Position Summary: Sapient Logic is seeking a DDIL Subject Matter Expert (Infrastructure Engineer/Architect) to support a Government mission customer in Charleston, SC or Reston, VA. This full-time, on-site role will guide architecture for secure mission services operating under denied, disrupted, intermittent, or limited connectivity. The engineer will design resilient identity, authorization, and data protection capabilities that support disconnected operation and safe reconnection to enterprise services. Responsibilities: Develop DDIL strategies, architectural approaches, and implementation roadmaps for mission applications and supporting security services. Work with mission owners to define operational scenarios, connectivity constraints, mission priorities, and acceptable levels of degraded service. Translate those scenarios into requirements for local autonomy, bandwidth use, latency, outage duration, synchronization, and recovery. Define which identity, authorization, directory, credential, and data protection capabilities must remain available without enterprise reachback. Architect local identity and attribute services, including virtual directories and approved caching of security information. Establish approaches for cached attribute freshness, credential expiration, revocation awareness, authorization policy updates, and operation when authoritative sources cannot be reached. Evaluate access control tradeoffs, including when services should deny access, permit bounded local operation, or require additional safeguards. Design synchronization and reconnection approaches that address conflicting updates, stale identity data, audit records, and restoration of enterprise consistency. Define dependencies among applications, identity providers, policy services, directories, encryption services, and key management infrastructure. Assess data placement, replication, and protection requirements across connected and disconnected environments, including approved cross-domain interfaces. Develop architecture diagrams, interface requirements, alternatives analyses, risk assessments, and phased implementation recommendations. Support agreements and approval documentation governing the caching and use of identity and security attributes. Guide prototypes and demonstrations that validate architectural assumptions under representative network impairments. Define measurable acceptance criteria and help teams evaluate mission continuity, security behavior, and recovery during connectivity loss and restoration. Coordinate with Government stakeholders, mission partners, security personnel, and engineering teams to resolve architectural gaps and guide implementation. Required Qualifications: Demonstrated subject matter expertise designing, evaluating, or fielding systems that operate with denied, disrupted, intermittent, or limited connectivity. Experience developing mission or enterprise architectures that support disconnected operation, local processing, and eventual synchronization with authoritative services. Ability to translate operational constraints into technical requirements, architectural decisions, and testable performance criteria. Understanding of distributed systems concepts, including consistency, replication, caching, conflict resolution, and failure recovery. Experience addressing identity, authentication, authorization, or credential dependencies when enterprise services are unavailable. Understanding of the security implications of stale attributes, delayed revocation information, expired credentials, and unavailable policy or key services. Experience assessing bandwidth, latency, packet loss, and network availability constraints and their effects on application and service behavior. Experience developing technical strategies, architecture documentation, alternatives analyses, and implementation roadmaps. Ability to explain architectural tradeoffs and residual risks to Government decision-makers and provide actionable guidance to engineering teams. Experience working across mission, cybersecurity, infrastructure, and application development stakeholders. Experience deploying localized Policy Enforcement Points (PEPs) and lightweight Policy Decision Points (PDPs) on edge compute appliances and dismounted kits. Experience conducting modeling, simulation, and hardware-in-the-loop (HWIL) testing to replicate tactical link degradation, electronic warfare (EW) effects, and packet-loss profiles. Active DoD Top Secret/Sensitive Compartmented Information (TS/SCI) Clearance with the ability to obtain a Counterintelligence (CI) Polygraph is required. U.S. Citizenship is required. Desired Qualifications: Prior experience supporting the Intelligence Community. Bachelor's or Master's degree. Operational DDIL experience: Experience supporting deployed, tactical, expeditionary, edge, or other mission environments with constrained reachback. Identity services: Experience with Identity, Credential, and Access Management (ICAM), virtual directories, identity federation, and local identity and attribute caching. Authorization design: Experience with attribute-based access control, local policy enforcement, bounded offline access, and synchronization of authorization policies. Data protection: Familiarity with Trusted Data Format (TDF), data tagging, encryption, and access enforcement when central services are unavailable. Key and certificate services: Experience addressing Public Key Infrastructure (PKI), certificate validation, credential renewal, and key availability in disconnected environments. Distributed applications: Experience with store-and-forward messaging, durable queues, retry behavior, duplicate handling, and reconciliation after reconnection. Cross-domain environments: Experience defining approved identity and data exchanges across security domains and mission partner boundaries. Cloud and edge platforms: Familiarity with Amazon Web Services (AWS), Kubernetes, Red Hat OpenShift, and deployment patterns spanning enterprise and local infrastructure. Validation and experimentation: Experience using network impairment testing, fault injection, or operational demonstrations to assess degraded-mode behavior. Zero Trust: Experience adapting identity, device, application, and data security controls to environments where continuous enterprise connectivity cannot be assumed. Segmentation: Experience implementing software-defined micro-segmentation, overlay networks, and dynamic perimeter controls across non-standard transport channels (e.g., HF/VHF/UHF, SATCOM, mesh radios, 5G tactical bubbles). Job Type:Full-time Benefits:401(k) 401(k) matching Dental insurance Employee assistance program Flexible spending account Health insurance Health savings account Life insurance Paid time off Parental leave Professional development assistance Retirement plan Vision insurance Schedule: 8-hour shift Monday to Friday Day shift Ability to work additional hours as needed to support mission requirements Work Location: On-site - Charleston, SC or Reston, VA (Washington, DC metro) Security Clearance: Active TS/SCI clearance required Salary: $145,000-$198,000

Job Description Founding Software Engineer / Technical Lead Calx Analytics Remote (California preferred, but not required) Compensation: Equity-first founding role; salary anticipated following funding. About Calx How do we measure the costs of harms that conventional accounting largely ignores? Environmental damage, public health consequences, labor abuses, and other externalities impose enormous costs on society, yet we lack consistent, defensible methods for calculating those costs and incorporating them into financial decisions. We're building the data and decision-intelligence infrastructure to change that. Our platform brings together complex scientific, economic, and other evidence to produce traceable, auditable valuations of environmental, public health, and social harms. By modeling how these costs accumulate and interact, we aim to help institutions better understand risk, evaluate interventions, and make decisions informed by a more complete accounting of economic impact. We have a working prototype, an established research foundation, and a small interdisciplinary team. We're now looking for an experienced engineer to take a leading role in developing the underlying platform and shaping its technical future. About the Role As our Founding Software Engineer / Technical Lead, you'll be responsible for designing, building, and evolving the core data architecture and backend systems that power Calx. This is a hands-on technical leadership position with substantial autonomy and direct influence over architectural decisions. You'll work closely with our founders, researchers, and engineering team to translate complex scientific and economic requirements into reliable, scalable systems. You'll also help establish engineering practices and technical priorities as the company grows. Key Responsibilities Lead the design and development of our core data architecture, including relational and graph-structured data. Evaluate approaches inspired by Meta's TAO architecture alongside relational and hybrid models. Architect and implement backend services, APIs, and data pipelines to support complex data ingestion, querying, and delivery. Build reliable systems for data provenance, uncertainty representation, evidence traceability, and quality assessment. Develop APIs and data delivery tools for institutional customers. Collaborate with researchers and domain experts to integrate complex datasets, scientific models, and analytical outputs into the platform. Help establish engineering best practices, including code quality, performance, security, reliability, and maintainability. Mentor our junior engineer and contribute to the company's overall technical direction. Qualifications Substantial experience designing, building, and maintaining production data systems. Strong proficiency in Python and PostgreSQL. Demonstrated expertise in data modeling, backend architecture, and cloud infrastructure. Experience designing and implementing APIs, data pipelines, and reliable data-processing workflows. Strong understanding of software architecture, systems design, and performance considerations. Excellent technical judgment, with the ability to evaluate architectural tradeoffs and balance long-term design goals against the practical demands of an early-stage company. Ability to work independently, communicate clearly, and collaborate effectively with engineers, researchers, and other domain specialists. Particularly Valuable Experience Graph-oriented architectures, graph databases, or hybrid relational/graph data models. Distributed systems and data-intensive applications. Complex data ingestion and information extraction. Systems involving data provenance, uncertainty, evidence quality, or auditability. Early-stage startups or building platforms from the ground up. Scientific computing, economic modeling, environmental data, or other interdisciplinary technical applications. Why Join Calx? This is an opportunity to help build the technical foundations of a new approach to understanding and measuring economic harm. You'll have meaningful ownership, substantial architectural autonomy, and the opportunity to shape a platform whose calculations must be explainable, traceable, and defensible. We're particularly interested in engineers who enjoy difficult conceptual and technical problems and understand the challenge of building systems that can substantiate and defend their calculations . Compensation and Commitment This is an equity-first, early-stage opportunity . Cash salary is not currently available, and salaried compensation is anticipated once the company secures funding. The equity arrangement, engagement structure, and future compensation terms will be discussed transparently with candidates. We're looking for someone excited by the opportunity to help build a company from an early stage and take meaningful responsibility for its technical development. How to Apply Please apply through LinkedIn and tell us a little about the most challenging data system you've built, the architectural decisions involved, and why Calx's mission interests you. We'd love to hear from experienced engineers who are excited by the intersection of ambitious technical architecture, scientific rigor, and real-world impact.

Job Description Security Architect / Senior Information Security Engineer (3 Month Contract-to-Hire) - Onsite 4 days a week Oak Brook, IL 60523 - Prefer experience in a regulated or payment-card environment. - NO (Sponsorship, H1b, Transfers, OPT, Corp-to-Corp) CBTS is searching for an experienced Security Architect to design, implement, and maintain the enterprise security architecture across network, endpoint, cloud, identity, and application layers. This is a hands-on, senior-level role responsible for security architecture and controls, incident response leadership, compliance (PCI-DSS and SOX), and threat management, aligned to industry frameworks including NIST CSF, ISO 27001, and CIS Controls. The ideal candidate combines deep technical expertise with the ability to advise leadership and raise security maturity across the organization. This is a 3-month contract-to-hire engagement and must be able to work onsite four days per week out of our Oak Brook, IL 60523 office/location. Responsibilities Security Architecture & Controls Design, implement, and maintain the enterprise security architecture across network, endpoint, cloud, identity, and application layers, aligned to business objectives and industry frameworks (NIST CSF, ISO 27001, CIS Controls). Define security standards, reference architectures, and control baselines; review new projects, system changes, and vendor solutions against them. Identify critical gaps in existing security systems, research candidate tools, and lead their evaluation, selection, and deployment. Incident Response Lead end-to-end cyber incident response: detection, triage, containment, eradication, recovery, and post-incident review. Act as the primary technical contact for the Managed Security Service Provider (MSSP); triage and validate escalated alerts and tune detection rules to reduce false positives. Maintain the incident response plan and playbooks, run tabletop exercises, and coordinate with legal, communications, and business stakeholders to minimize downtime and impact. Compliance & Audit Own the security elements of the PCI-DSS and SOX programs: control design, evidence collection, gap remediation, and liaison with internal and external auditors. Improve audit workflows through automation, standardized evidence, and continuous control monitoring. Maintain security policies, standards, and procedures, and track exceptions through to closure. Threat Management & Operations Monitor emerging threats, vulnerabilities, and attack techniques; translate them into prioritized security measures and roadmap items. Oversee vulnerability management, penetration testing, and remediation tracking across infrastructure and applications. Troubleshoot and resolve network and security issues (firewalls, VPN, IDS/IPS, email security, EDR, SIEM) to keep systems secure and operational. Leadership & Advisory Advise leadership on security risk, investment priorities, and the security implications of business initiatives. Mentor IT and security staff and raise security awareness across the organization. Requirements: 7+ years in information security, including 3+ years designing security controls or architecture in an enterprise environment. Hands-on experience leading cyber incident response and working with an MSSP or SOC, including alert triage and threat investigation. Working knowledge of PCI-DSS and SOX IT general controls, including evidence preparation and auditor engagement. Strong understanding of network security (firewalls, segmentation, VPN, IDS/IPS), identity and access management, endpoint protection (EDR), email security, and SIEM. Experience with cloud security (Azure, AWS, or OCI) and securing hybrid environments. Proven record of evaluating, selecting, and deploying security tools that measurably reduced risk. Ability to analyze emerging threats and translate them into practical, prioritized security measures. Clear written and verbal communication, with the ability to explain risk to both technical teams and senior management. Experience with zero-trust architecture, secure SDLC, and DevSecOps practices. Familiarity with NIST CSF, ISO 27001, or CIS Controls as governance frameworks. Scripting or automation skills (PowerShell, Python) for security tooling and evidence collection. Experience in a regulated or payment-card environment. Certifications such as CISSP, CISM, CCSP, SABSA, TOGAF, or GIAC (GCIH, GCIA, GSEC). CBTS provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a protected veteran in accordance with applicable federal, state and local laws.

Pay Range: $65.00hr - $70.00hr Job Overview: The Senior Cloud Solution Architect will provide overall technical leadership for the AWS migration. This individual will be responsible for defining the target-state architecture, establishing migration patterns and standards, validating solution designs, and ensuring that all application, infrastructure, security, and operational requirements are addressed throughout the program lifecycle. Qualifications: 12+ years of enterprise architecture and software engineering experience. 8+ years designing and implementing cloud-based solutions. Demonstrated experience leading large-scale cloud migration and modernization programs. Deep expertise in AWS services, cloud-native architectures, infrastructure automation, resiliency, security, and disaster recovery. Experience working with major financial institutions is preferred, with a focus on large-scale AWS migrations. Experience working within highly regulated financial services environments. Strong stakeholder management and communication skills, with the ability to engage senior technology and business leadership. Key Responsibilities: Define and govern the target-state architecture. Lead application assessment and migration strategy development. Establish architectural standards, patterns, and guardrails. Provide technical oversight for migration, testing, cutover, and decommissioning activities. Identify and mitigate architectural, operational, and security risks. Support governance, design reviews, and executive-level decision making. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Job Title: GenAI Platform Lead / Senior Python AI Engineer - LLM, RAG & FastAPI Location: Pennington, NJ / Jersey City, NJ / Charlotte, NC Duration: Contract - 12 months Pay Range: Pennington: NJ2-150-04-71 -BR $96.92 (Pay Rate: $68.25) Jersey City: NJ2-525-31-02 -BR $96.92 (Pay Rate: $68.25) Charlotte: NC1-021-03-13 BR $ 92.39 (Pay Rate: $65.06) Job ID: 412171 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking an GenAI Platform Lead / Senior Python AI Engineer - LLM, RAG & FastAPI to join our team and lead the build-out of a next-generation GenAI platform. The ideal candidate will have strong experience in Python, modern microservices architectures, and AI solution delivery and a proven ability to design, implement, and scale resilient enterprise platforms that meet performance and regulatory requirements. Responsibilities: Design, develop, and oversee end-to-end implementation of the GM GenAI platform and related business use cases. Develop architectural approaches for AI software and hardware integration with emphasis on quality, performance, resiliency, and reusability. Collaborate with business and IT stakeholders to understand and fulfill business needs and objectives. Lead cross-disciplinary teams to deliver technical solutions that align with business priorities and expectations. Identify, prioritize, and execute tasks across the software development life cycle. Establish standards and drive automation to improve end-to-end SDLC efficiency. Mentor team members in technical design and development best practices. Drive platform performance, scalability, and resiliency testing. Implement hardware upgrades and software enhancements to meet global performance expectations. Address regulatory and performance-driven requirements for regional and localized infrastructure and platform deployments. Conduct research and prototyping to identify solutions that enhance platform and team capabilities. Monitor AI industry trends and advancements in AI, machine learning, and data science to continuously improve solutions. Required Skills & Qualifications: 7+ years of Python development, including production-grade services and tooling. Experience implementing and integrating LLMs, including Retrieval Augmented Generation (RAG). FastAPI or similar Python web frameworks for building APIs and microservices. Extensive experience designing and implementing multi-tier and microservices application platforms. Proven ability to plan and lead delivery with functionally diverse and geographically dispersed teams. Track record of delivering projects on time and on budget. High proficiency in Unix scripting and automation for SDLC efficiencies. In-depth knowledge of relational databases such as Oracle or MySQL and NoSQL databases such as MongoDB, including processing large structured and unstructured datasets. Knowledge of front-end languages, libraries, and frameworks such as HTML, CSS, JavaScript, XML, React, and jQuery. Strong communication, critical thinking, and problem-solving skills. Preferred Skills: Experience implementing data analytics and AI solutions in enterprise environments. Knowledge of TensorFlow or PyTorch, LLM fine-tuning, RAG patterns, and tools for agentic solutions. Additional Details: Start expectation: 2-4 weeks after offer. Candidates must be able to meet a defined start date. Please account for any potential visa-related delays before submission. Schedule: 8 hours per day. Labor Type: Technical. Assessment: GLIDER - BOA-AppProg-IV-V-3 may apply. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume. Ensure your preferred approved location is listed at the top of your resume.

Pay Range: $50.00hr - $55.00hr Job Overview: As a Consulting Data Engineer, the successful candidate will architect, build, and optimize the next generation of real-time healthcare data platforms and event-driven architectures. The candidate will play a foundational role in moving clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, the candidate will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. The candidate will bridge the gap between complex electronic health records (EHR) and data consumers-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities: Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications: 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

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 Overview: At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer's and partner's needs and solve their challenges. Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve. You'll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about-locally and globally. Come make an impact every day at Zebra. What We're Looking For: The Cloud AI Engineer, Lead plays a critical role in driving innovation across Zebra's IT Platform Engineering, Cloud Security, and Artificial Intelligence initiatives. Acting as a hands-on technical architect and strategic trailblazer, you will partner with key stakeholders to identify opportunities, translate ideas into actionable solutions, and deliver value through rapid proofs of concept. This role focuses heavily on designing, building, and scaling our next-generation cloud-native AI platforms, AI-powered log intelligence (AIOps), and semantic developer tooling. Location: This is a hybrid position requiring a minimum of three days per week on-site at either our Lincolnshire, IL, or Holtsville, NY office. Essential Duties/Responsabilities: Identify and evaluate emerging innovation opportunities across Platform Engineering and Cloud Infrastructure functions, matching business needs with cutting-edge technology solutions. Conduct comprehensive business and systems analyses, translating complex technical findings into clear user stories, system requirements, and actionable solution concepts. Coordinate and execute Proof of Concepts (PoCs) and hands-on delivery activities to rapidly validate and advance cloud and platform innovation initiatives. Research, analyze, and report on disruptive technologies-such as Generative AI, Machine Learning (ML), Robotic Process Automation (RPA), and Virtual Agents-providing strategic recommendations for corporate adoption. Act as the primary IT Cloud Innovation Liaison, driving cross-functional collaboration and alignment with other innovation and product teams across Zebra. Plan, coordinate, and facilitate structured ideation workshops, fostering a culture of collaborative brainstorming and innovative problem-solving. Serve as an active Innovation Evangelist within IT and the broader enterprise, promoting modern engineering methodologies and pushing the boundaries of cloud-native possibilities. Track, analyze, and report key performance indicators (KPIs), ensuring leadership has complete visibility into the progress, and business outcomes of all innovation initiatives. Establish and maintain a repeatable operating model for cloud-native AI/ML deployment, ensuring all initiatives consistently address pipeline architecture, performance metrics, and compliance guidelines across GCP and Azure. Lead and mentor a high-performing team of cloud and AI platform engineers, guiding their professional evolution toward predictive log analytics, automation (AIOps), and robust cloud data readiness. Translate complex AI governance, cloud security guardrails, and regulatory requirements into practical technical specifications, partnering directly with systems engineers to integrate PII masking and RBAC into automated CI/CD pipelines. Manage roadmap alignment within assigned technology portfolios. Minimum Qualifications: Bachelor's degree in Computer Science, Electronic Engineering, Computer Engineering, or related field. 5+ years experience working on an operations style team (NOC, SOC, MOC, etc.) and troubleshooting networking, service desk, operations center and/or supporting cloud based Infrastructure. Hands-on Google Gemini Enterprise Expertise: Demonstrated experience working with Google Gemini Enterprise, with a proven ability to build and deploy custom agents using the Agent Development Kit (ADK). Multi-Cloud & GenAI Platform Proficiency: Deep familiarity with leading cloud platforms and generative AI solution providers, including Google Cloud Platform (GCP), Azure, OpenAI, and Anthropic. Experience working in a global, heterogeneous, cloud and on-prem environment. Practical knowledge of, or deep technical curiosity to develop, hands-on solutions involving Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, and agentic AI patterns (including Model Context Protocol MCP , tool calling, and orchestration frameworks). Expertise in scripting or programming languages (e.g., Python) for automation or testing is a plus; software development background is welcomed. Proven track record of deploying containerized AI solutions using Kubernetes (GKE/AKS), Docker, and robust CI/CD pipelines, backed by verifiable metrics such as high availability, latency reduction, and infrastructure cost optimization. Comprehensive understanding of enterprise cloud security, application/API security, and fine-grained identity systems, with experience integrating PII masking and complex Role-Based Access Control (RBAC) frameworks. Strong software development background with advanced scripting capabilities in Python (or similar languages) to drive automation, infrastructure provisioning (IaC), and automated testing. Active professional-level cloud certifications are highly preferred, such as Google Cloud Professional Cloud Architect, Google Cloud Professional Machine Learning Engineer or AI Engineer Preferred Qualifications Some exposure to AI/ML systems, application security, or API security is a plus. Travel up to 10% Equal Opportunity Employer: Zebra is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability and protected veteran status, or any other basis prohibited by law. If you are an individual with a disability and need assistance in applying for a position, please contact us at . Know Your Rights: - 10/EEOC_KnowYourRights_screen_reader_10_20.pdf Conozca sus Derechos: -_EEOC_KnowYourRightsSp_10_20.pdf We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at . Pay Range: $96,800.00 - $145,200.00 Annual Incentive Compensation: In addition to base pay, Zebra offers this role the opportunity to earn a performance-based annual cash incentive, at a target equal to 10% of base pay, in accordance with the terms of the applicable incentive plan. Zebra Total Rewards: Zebra Total Rewards includes more than just pay and is structured to meet the needs of our changing global business and evolving talent. We are committed to providing our employees with a benefits program that is comprehensive and competitive - including healthcare, wellness, inclusion networks, and continued learning and development offerings. We offer community service days, in addition to the traditional insurances, compensation, parental leave, employee assistance program and paid time off offerings depending on the country where you work. Salary offered will vary depending on your location, job-related skills, knowledge, and experience. Additionally, all Zebra roles are eligible for cash incentive programs. For example, sales roles have additional opportunity to earn substantial variable compensation tied to quota achievement. In most other roles, the Zebra annual cash incentive program links Company and individual performance together. Some roles may also be eligible for long-term incentive equity awards. Benefits: We understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success. Job Posting Statement: To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department. AI Technology Statement: Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However . click apply for full job details

Job Title: GenAI Platform Lead / Senior Python AI Engineer - LLM, RAG & FastAPI Location: New York, NY or Jersey City, NJ Duration: Contract - 12 months Pay Range: NY, NY - BR $ 101.66 (Pay Rate: $71.59) Jersey City: NJ - BR $96.92 (Pay Rate: $68.25) Job ID: 412172 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking an GenAI Platform Lead / Senior Python AI Engineer - LLM, RAG & FastAPI to lead the end-to-end design and implementation of a new GenAI platform and its business use cases. The ideal candidate will have strong experience in Python, LLMs, and modern application architectures and a proven ability to deliver scalable, resilient platforms that meet performance and regulatory requirements. A start date within 2-4 weeks of offer will be required due to business needs. Responsibilities: Design, develop, and oversee end-to-end implementation of the GM GenAI platform and business use cases. Develop architectural approaches for AI software and hardware integration with focus on quality, performance, resiliency, and reusability. Collaborate with business and IT stakeholders to understand and fulfill objectives. Lead cross-disciplinary teams to deliver solutions aligned with priorities and expectations. Identify, prioritize, and execute tasks across the software development life cycle. Establish standards and drive automation for end-to-end SDLC efficiency. Mentor team members in technical design and development best practices. Drive platform performance, scalability, and resiliency testing. Implement hardware upgrades and software enhancements to meet global performance expectations. Address regulatory and performance-driven requirements for regional and localized infrastructure and platform needs. Conduct research and prototyping to evaluate and identify solutions that enhance platform and team capabilities. Monitor AI industry trends and advancements in AI, machine learning, and data science to inform continuous improvement. Required Skills & Qualifications: 7+ years of hands-on Python development, including Unix scripting. Experience with Large Language Models (1+ year) and Retrieval Augmented Generation (RAG). Extensive experience designing and implementing multi-tier and microservices-based application platforms. Proficiency with FastAPI for building services and APIs. In-depth knowledge of relational databases such as Oracle or MySQL and NoSQL databases such as MongoDB, including processing large structured and unstructured datasets. Knowledge of front-end languages, libraries, and frameworks, including HTML, CSS, JavaScript, XML, React, and jQuery. Proven ability to plan and lead delivery for diverse, geographically dispersed teams with on-time, on-budget outcomes. Strong communication, critical thinking, and problem-solving skills. Preferred Skills: Experience implementing data analytics and AI solutions. Knowledge of TensorFlow or PyTorch, LLM fine-tuning, Retrieval Augmented Generation, and tools for agentic solutions. Additional Details: Start expectation: 2-4 weeks after offer. Candidates must be able to meet the outlined start date. Hours per day: 8. Labor type: Technical. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume. Please list your location at the top of your resume for consideration.

Job Description Overview A rapidly growing technology-driven organization is seeking a Senior Cloud Engineer to help architect, build, and scale the cloud infrastructure that supports critical business applications and services. This role is ideal for a senior-level engineer who thrives at the intersection of cloud architecture, platform engineering, Kubernetes operations, networking, and infrastructure automation. The successful candidate will serve as a technical leader and trusted partner to engineering, security, and product teams, helping drive scalable platform solutions, operational excellence, and cloud modernization initiatives. This position combines strategic architectural responsibility with hands-on engineering execution. Key Responsibilities Cloud Platform Architecture Design, implement, and continuously improve enterprise cloud platforms supporting large-scale production workloads. Establish architecture standards, reference designs, and engineering best practices for cloud infrastructure. Develop scalable and resilient infrastructure patterns that support current and future business growth. Evaluate emerging cloud technologies and recommend improvements to platform capabilities. Kubernetes & Container Platform Engineering Design and manage enterprise Kubernetes environments supporting mission-critical applications. Lead platform improvements related to cluster architecture, lifecycle management, scaling, security, and workload optimization. Establish standards for containerized application deployment, networking, observability, and operational support. Improve platform reliability, performance, and operational efficiency through automation and engineering best practices. Cloud Networking & Infrastructure Design and support enterprise cloud networking architectures, including routing, segmentation, connectivity, and traffic management. Manage and optimize secure connectivity between cloud environments, external services, and enterprise systems. Develop standards for ingress, egress, DNS, edge networking, TLS management, and application delivery. Partner with security and infrastructure teams to implement secure, scalable networking solutions. Platform Enablement & Engineering Collaboration Partner with application development teams to onboard new applications and services onto cloud platforms. Provide architectural guidance for application connectivity, scalability, and infrastructure design. Assist engineering teams with troubleshooting, performance optimization, and operational best practices. Ensure platform standards are adopted consistently across teams and environments. Infrastructure Automation & Reliability Champion an automation-first approach across infrastructure provisioning, deployment, and operations. Develop Infrastructure-as-Code solutions and repeatable deployment patterns. Improve operational efficiency through self-service tooling, automation frameworks, and standardized workflows. Support platform observability, monitoring, alerting, and performance management initiatives. Technical Leadership Serve as a senior technical contributor and subject matter expert for cloud infrastructure and platform engineering initiatives. Mentor engineers and provide guidance on architecture, cloud design, Kubernetes operations, and networking best practices. Create and maintain architecture documentation, operational procedures, and technical standards. Influence technical direction across multiple engineering teams and strategic initiatives. Required Qualifications 8+ years of experience in cloud engineering, platform engineering, infrastructure engineering, or related disciplines. Proven experience designing and operating large-scale Kubernetes environments in production. Deep expertise with cloud-native architecture and modern infrastructure platforms. Strong experience with Kubernetes administration, workload orchestration, autoscaling, and platform security. Extensive knowledge of AWS services, cloud networking, and infrastructure design principles. Strong understanding of cloud networking including VPC design, routing, segmentation, and scalable connectivity architectures. Experience managing ingress, egress, transit networking, and private connectivity solutions. Strong troubleshooting and performance optimization skills across cloud and containerized environments. Experience creating technical standards and architecture frameworks adopted across multiple teams. Excellent written and verbal communication skills with the ability to communicate effectively to both technical and business audiences. Preferred Qualifications Deep expertise with API gateway technologies and service delivery architectures. Experience supporting enterprise edge networking, content delivery, DNS, and traffic management platforms. Knowledge of application architecture and distributed systems design principles. Experience with advanced Kubernetes ecosystem tools and automation frameworks. Background in software engineering or application development. Working knowledge of Python or other scripting languages for automation and platform engineering tasks. Experience implementing Infrastructure-as-Code, GitOps, and modern platform engineering practices. Cloud and Kubernetes certifications are beneficial but not required. Technical Environment Strong experience with the following technologies is highly desirable: AWS Kubernetes (EKS preferred) Docker Infrastructure as Code Python API Gateway technologies DNS and Traffic Management Platforms TLS/Certificate Management Cloud Networking CI/CD Platforms Observability and Monitoring Solutions Infrastructure Automation Frameworks What You'll Bring A strong balance of architectural vision and hands-on technical execution. Deep expertise in cloud infrastructure and modern platform engineering. Strong problem-solving and troubleshooting capabilities. An automation-first mindset focused on scalability and operational excellence. The ability to influence technical direction across engineering organizations. Exceptional communication and stakeholder management skills. A passion for building resilient, maintainable, and highly scalable cloud platforms. This opportunity is ideal for a senior cloud engineer who enjoys solving complex infrastructure challenges, shaping cloud platform strategy, and enabling engineering teams through scalable, secure, and automated cloud solutions. The role offers broad ownership, significant architectural influence, and the opportunity to help drive the next generation of platform engineering capabilities across the organization.

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

Job Description Position Summary We are looking to add to our dynamic team the critical role of Enterprise AI Architect to help turn AI ideas into secure, scalable, production-ready business solutions. This high-visibility role will define the architecture, patterns, and guardrails that help the company adopt AI responsibly and at scale. The ideal candidate is a hands-on solution architect who can translate business needs into practical AI solutions, design agentic and multi-agent architectures, and partner across business, IT, data, cybersecurity, and operations teams. This is a builder role for someone excited to create the enterprise AI playbook in a global manufacturing and technology environment. Why This Role Is Exciting Help define how enterprise AI is built, governed, and scaled. Work on high-value AI use cases that improve real business processes. Shape the company's approach to agents, copilots, AI governance, and responsible adoption. Turn experimentation into measurable enterprise impact. Key Responsibilities AI Strategy & Solution Architecture Define the enterprise AI architecture roadmap, from early use cases to production-ready solutions. Create reusable standards, solution patterns, and best practices for scalable AI delivery. Lead architecture for generative AI, copilots, AI agents, RAG, machine learning, and intelligent workflows. Design agentic and multi-agent solutions with clear controls, escalation paths, and human-in-the-loop checkpoints. Azure AI Platform Leadership Architect solutions using Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Microsoft Fabric, Copilot Studio, Power Platform, and related Microsoft AI services. Define when to use copilots, agents, RAG, automation, custom APIs, or third-party AI tools. Evaluate and integrate AI capabilities from outside the Azure ecosystem, including platforms and models from providers such as OpenAI, Anthropic, Google, and others. Design hybrid AI patterns for manufacturing and operational environments that cannot be fully cloud-native. Enterprise Data & Systems Integration Ground AI solutions in trusted enterprise data, including ERP, SQL Server applications, and manufacturing/OT systems. Define secure data pipelines, APIs, connectors, and integration patterns using standards such as MCP and A2A where appropriate. Cross-Functional Collaboration Partner with business leaders, cybersecurity, infrastructure, data, and development teams to deliver secure, scalable AI solutions. Prioritize AI opportunities based on business value, feasibility, risk, and adoption potential. Agile Delivery Leadership Provide technical leadership across Agile delivery teams, including onshore and offshore resources. Guide AI initiatives from concept through production deployment and support. AI Governance, Risk & Compliance Establish responsible AI, security, compliance, and governance standards for production AI solutions. Define ALM, LLMOps/MLOps, monitoring, versioning, telemetry, and model evaluation practices. Protect AI models and data workflows through access controls, audit trails, data residency, and prompt-injection safeguards. AI Cost Governance (FinOps) Monitor AI compute, API, and cloud costs. Conduct ROI analysis and define success metrics for AI-powered solutions. Required Qualifications Experience 5+ years in solution, cloud, or enterprise architecture. 3+ years designing AI, machine learning, generative AI, or agentic AI solutions. Hands-on experience with Microsoft Azure and Azure AI services. Experience integrating AI with enterprise systems, ERP, manufacturing, or operational data is a plus. Experience leading Agile teams and globally distributed development resources. Technical Skills Azure OpenAI, Azure AI Foundry, Azure Machine Learning, Microsoft Fabric, Copilot Studio, Power Platform. LLMs, RAG, AI agents, prompt engineering, grounding, evaluation, telemetry, and human-in-the-loop patterns. Ability to compare and select fit-for-purpose AI platforms, models, and tools across Microsoft and non-Microsoft ecosystems. MCP, A2A, secure APIs, connectors, cloud architecture, and enterprise integration patterns. Security, identity, governance, MLOps/LLMOps, and regulated-environment awareness. Preferred Certifications Microsoft Certified: Azure Solutions Architect Expert. Microsoft Certified: Azure AI Engineer Associate (or equivalent GenAI/ML certification). Soft Skills Strong communicator who can explain AI concepts to technical and non-technical audiences. Collaborative partner with strong stakeholder management skills. Practical, outcome-focused problem solver who can balance innovation with governance. EEO - M/F/D/V

GovCIO LLC seeks a Data Center Engineer / Architect to design, implement, and optimize secure, highly available data center and cloud-hybrid infrastructures for federal agencies. You will architect network, compute, storage, and virtualization solutions, automate deployments, and ensure scalability, performance, and disaster recovery. Partner with cybersecurity, DevSecOps, and application teams to meet federal compliance and mission needs. In our mission-driven, collaborative culture, you'll use modern tools, mentor others, and grow your skills while supporting high-impact national programs and large-scale digital transformation initiatives. Responsibilities Design and architect scalable, secure data center and cloud-hybrid solutions for federal customers. Engineer and administer compute, storage, network, and virtualization platforms for high availability. Automate infrastructure provisioning and configuration using scripting and Infrastructure as Code tools. Implement monitoring, capacity planning, and performance tuning across data center environments. Develop and maintain disaster recovery, backup, and business continuity strategies. Ensure compliance with federal security, governance, and architecture standards (e.g., Fed RAMP, FISMA). Collaborate with cybersecurity, Dev Sec Ops, and application teams to support mission-critical systems. Document architectures, runbooks, and standards, and provide knowledge transfer and mentoring. Lead or support migration of legacy workloads into modern, cloud-enabled infrastructures. Continuously evaluate and recommend emerging technologies to improve reliability and efficiency. Required Skills Data center architecture Cloud infrastructure (AWS/Azure/GCP) Virtualization (VMware/Hyper-V/KVM) Enterprise storage and backup Network design (LAN/WAN/VPN) Automation/Scripting (Python/Power Shell) Infrastructure as Code (Terraform/Ansible) High availability and DR design Monitoring and performance tuning Security and compliance (Fed RAMP/FISMA)