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Job Description Hardware Engineer Secaucus, NJ 9 Months This is for 3 x 13Hr, F-S-S coverage in NJ TRAVEL: Not Required HOURS: 9am - 10pm DAYS: Friday, Saturday, Sunday LOCATION: Secaucus, NJ Break fix Work on urgent tasks on weekends on high escalation tickets. Working on Helio servers Description: THE ROLE: We are seeking a hands-on and detail-oriented professional to support and maintain our development lab environment. This role is responsible for ensuring that lab systems, hardware, and infrastructure are fully operational, organized, and accessible to support engineering and development teams. The ideal candidate will provide day-to-day technical support, troubleshoot hardware and system issues, and coordinate closely with IT and engineering teams to resolve problems efficiently. THE PERSON: In this role, you will manage lab setup and organization, maintain accurate inventory and asset tracking, and support the full lifecycle of rack level server systems-from configuration and deployment to refresh and decommissioning. You will play a key role in enabling developer productivity by maintaining reliable lab operations, supporting remote access needs, and ensuring systems are properly configured, updated, and compliant with internal standards. This is an excellent opportunity for someone who enjoys working hands-on with hardware, solving technical problems, and contributing to a well-organized, high-functioning data center/lab environment. KEY RESPONSIBILITIES: Server Lab Operations & Developer Support •Provide first-line troubleshooting and technical support for server platforms, GPUs, accelerator cards, networking equipment, storage systems, firmware, operating systems, and lab infrastructure. •Support engineers and developers by performing hardware and configuration changes including server installation, component replacement, BIOS and BMC configuration, firmware updates, operating system deployment, and network configuration. •Diagnose platform failures, performance issues, hardware compatibility concerns, and infrastructure-related problems while documenting findings and escalating issues to engineering, IT, vendors, or product teams as required. •Validate server functionality following hardware modifications, firmware updates, deployments, and repair activities. Data Center Lab Infrastructure Management •Build, organize, and maintain server lab environments including rack layouts, structured cabling, network connectivity, power distribution, cooling infrastructure, and equipment labeling. •Develop and maintain laboratory standards for system deployment, asset identification, cabling practices, rack organization, safety compliance, and operational readiness. •Monitor rack power utilization, cooling capacity, and space availability to support current and future hardware deployments. •Coordinate lab relocation, expansion, and refresh activities including system decommissioning, equipment moves, rack installation, and restoration of services. Server Deployment & Lifecycle Management •Rack, stack, cable, configure, and commission server hardware including compute, storage, networking, and GPU platforms. •Manage server imaging, operating system installation, firmware compliance, BIOS configuration standards, and system validation procedures. •Support hardware qualification, proof-of-concept testing, and platform bring-up activities for new server technologies. •Coordinate preventive maintenance, hardware refreshes, upgrades, and end-of-life replacement planning. Inventory & Asset Management •Maintain accurate inventory records for servers, GPUs, switches, storage devices, PDUs, optics, cables, test equipment, and associated infrastructure assets. •Track asset ownership, rack location, deployment status, warranty information, RMA activity, lifecycle stage, and utilization. •Conduct routine audits to ensure inventory accuracy and identify missing, underutilized, or retired equipment. •Manage spare parts inventory to support rapid replacement and minimize system downtime. Network, Storage & Remote Access Administration •Support lab network infrastructure including switch configuration, port assignments, VLAN validation, IP management, and connectivity troubleshooting. •Coordinate storage and remote access solutions to ensure reliable access for engineering, validation, and development teams. •Maintain out-of-band management solutions including BMC, iDRAC, iLO, Redfish, serial console, and KVM access systems. •Partner with IT and security teams to ensure compliance with corporate security standards, patching requirements, and access control policies. Operational Excellence & Process Improvement •Develop and maintain documentation including rack elevations, network diagrams, deployment procedures, troubleshooting guides, and standard operating procedures. •Establish service request, escalation, change management, and equipment checkout processes. •Identify opportunities to improve lab efficiency through process automation, scripting, monitoring, and infrastructure optimization. •Support capacity planning efforts for power, cooling, rack space, networking, and hardware resource utilization. PREFERRED QUALIFICATIONS •Hands-on experience supporting server hardware, enterprise infrastructure, or large-scale data center laboratory environments. •Experience with rack-and-stack activities, structured cabling, power distribution systems, and data center best practices. •Strong knowledge of server platforms from Dell, HPE, Supermicro, AMD, NVIDIA, Client, or similar enterprise hardware vendors. •Experience configuring and troubleshooting BIOS, BMC, firmware, storage controllers, network adapters, and GPU platforms. •Familiarity with server management technologies such as iDRAC, iLO, Redfish, IPMI, OpenBMC, and remote KVM solutions. •Experience supporting Linux and Windows Server operating systems including imaging, deployment, patching, and troubleshooting. •Understanding of networking fundamentals including TCP/IP, DNS, DHCP, VLANs, routing, switching, and network diagnostics. •Experience maintaining hardware inventory, CMDB, asset management, or data center infrastructure management (DCIM) platforms. •Working knowledge of data center power and cooling concepts including PDU management, rack density, power budgeting, and thermal considerations. •Experience using scripting and automation tools such as Python, Bash, PowerShell, or Ansible. •Knowledge of SQL, databases, telemetry collection, infrastructure monitoring, and reporting tools is considered a plus. •Experience supporting AI, HPC, GPU cluster, server validation, or engineering lab environments is highly desirable. ACADEMIC CREDENTIALS: Bachelor's degree in Computer Engineering, Network Engineering or Information Systems

Job Description We are looking for an experienced Linux Systems Engineer to join a high-performance technology team within a high-frequency trading firm. The role will focus on building, maintaining and optimizing bare-metal Linux infrastructure, with an emphasis on ultra-low-latency performance, hardware optimization and system reliability. The ideal candidate will have deep Linux engineering experience, strong knowledge of operating system internals and hands-on experience working with physical server hardware in performance-critical environments. Key Responsibilities Design, build and maintain high-performance bare-metal Linux infrastructure. Provision, configure and manage physical servers, including OS installation, BIOS, firmware and hardware configuration. Optimize Linux systems for low latency, high throughput and minimal system jitter. Perform kernel tuning, CPU isolation, IRQ affinity, NUMA optimization and CPU scheduling configuration. Analyze and troubleshoot hardware, kernel and operating system performance issues. Work with network engineering teams to optimize low-latency Linux networking. Automate infrastructure deployment, configuration and management. Develop tooling and scripts to improve infrastructure performance and operational efficiency. Work closely with developers, quantitative researchers and trading teams to support critical trading infrastructure. Essential Skills & Experience Strong commercial experience as a Linux Systems Engineer or Linux Infrastructure Engineer. Extensive hands-on experience building and managing Linux on bare-metal physical servers. Deep understanding of Linux internals, kernel architecture and operating system behavior. Experience with Linux performance tuning and low-latency optimization. Strong knowledge of CPU architecture, NUMA, memory management, interrupts and processor scheduling. Experience with server hardware, BIOS/UEFI and firmware configuration. Strong troubleshooting and performance analysis capabilities. Proficiency in Bash and/or Python scripting. Experience with infrastructure automation and configuration management. Desirable Experience Experience optimizing Linux for microsecond or sub-microsecond latency. Knowledge of Solarflare, Xilinx or NVIDIA/Mellanox network cards. Experience with DPDK, OpenOnload, RDMA or kernel bypass technologies. Understanding of TCP/IP, UDP, multicast and high-performance networking. Familiarity with Intel Xeon and AMD EPYC architectures. Experience with PTP, hardware timestamping and colocated data center environments.

Job Description JOB SUMMARY: The Lead Database Engineer and Administrator serves as the high-level technical authority for software engineering on a Tech Refresh contract based in Colorado Springs, Colorado. This role provides deep technical expertise in enterprise Oracle database architecture, development methodologies, system integration, and emerging technologies. The Senior Principal Software Engineer leads complex database design initiatives, advises leadership on technical strategy, and ensures engineering solutions meet mission, security, scalability, and performance requirements. The candidate collaborates closely with program leadership, architects, engineers, cybersecurity teams, and stakeholders to design and implement advanced software solutions supporting enterprise systems, cloud environments, and mission-critical platforms. This project delivers a mission-assured technical refresh of the CCIC2S Oracle database and RHEL operating environments, upgrading legacy systems to Oracle 19c and RHEL 9.7 while preserving full operational continuity. It includes comprehensive engineering, integration, cybersecurity, testing, and deployment activities to ensure zero data loss, improved performance, strengthened security, and seamless compatibility across all CCIC2S mission systems. Location will be north Colorado Springs initially and future work at Chidlaw and Peterson AFB occasionally. SUMMARY OF ESSENTIAL JOB FUNCTIONS: Technical lead experience to guide the database team, able establish priorities for tasking, and proactively address risks to achieve successful project outcomes. Serve as the primary subject matter expert for software engineering practices, frameworks, and architecture across programs and projects. Lead the design and development of Oracle Database Upgrade solution for a complex enterprise. Provide significant input into the technical solution design and architect the upgrade path for Oracle, including compatibility analysis, data migration strategies, and performance tuning. Provide input into the design for the RHEL migration plan, covering kernel compatibility, package updates, and security hardening. Be responsible for analyzing, creating, manipulating, and organizing database systems. Modify Oracle database schemas, static data load, and program documentation. Consolidate customer data to make it easily accessible and readable to users throughout their community. Work closely with the development team to update database storage architecture, troubleshoot technical issues, and create visual layouts to display data. Be responsible for developing strategic procedures and upgrades, improving database infrastructures, and managing DB systems configuration. Be handling a broad range of software and other programming tasks to ensure that their systems integrations are functional Be defining integration strategies and methods and then planning them in accordance with established deadlines and time schedules. Full life-cycle development including requirements analysis, architecture and design, coding, testing, integration, performance analysis and Data Migration Ensures software standards are met. Establish and maintain software development standards, coding guidelines, and best practices. Evaluate and recommend new technologies, tools, and frameworks to improve system capabilities and development efficiency. Support program managers and leadership with technical planning, system modernization strategies, and risk mitigation. Translate mission or business requirements into technical solutions and system designs. REQUIRED SKILLS AND EXPERIENCE: Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related technical field. 10+ years of software engineering experience including enterprise database development, design, debug, and integration of various technologies Active DoD Secret clearance at the time of application Certification Requirements: DoD 8570 IAT Level II and any Database Certification Requires a strong background in Oracle database development and Linux Experience with integration of COTS/GOTS/FOSS hardware and software into existing infrastructures. Experience with Oracle RMAN, Data Pump, GoldenGate, and Oracle Enterprise Manager. Experience of RHEL system administration, SELinux, systemd, and kernel tuning. Experience with Scripting/automation (Bash, Python, PowerShell). Knowledge of database performance tuning, backup/recovery, and disaster recovery concepts. Knowledge of the technology industry and the latest trends, as well as a strong command of programming languages or system codes. Familiarity with containerization (Docker) and virtualization (KVM/VMware) is a plus Be able to complete documentation and instructions for customers. Be able to properly evaluate sources of information to determine possible limitations in reliability or usability Strong verbal and written communication skills. Significant experience in installing, configuring, scripting, developing, testing and troubleshooting enterprise databases DESIRED SKILLS Knowledgeable of Java, VMWare Suite, Ansible Knowledge of storage, networking, and cyber to include STIGs. Ability to work independently and collaboratively with other teams. Significant relevant experience in supporting the sustainment of NISSC mission systems/subsystems. Experience with other relevant missions surrounding the NORAD-NORTHCOM, Air and Space missile warning. PHYSICAL DEMANDS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform these functions. While performing the duties of this job, the employee is regularly required to: Remain in a stationary position for extended periods of time. Operate a computer, keyboard, and other office equipment using hands and fingers. Communicate effectively in person, over the phone, and through electronic means. Occasionally move about the office to access files, office equipment, and meeting spaces. Lift and/or move up to 15 pounds as needed. Maintain specific vision abilities, including close vision and the ability to adjust focus. The Perks Comprehensive medical, dental and vision plans for you and your dependents 401(k) Retirement Plan with Employer Match, 529 College Savings Plan, Health Savings Account, Life Insurance, and Long-Term Disability Competitive Compensation Training and development programs Major offices stocked with snacks and beverages Collaborative and cool culture Work-life balance and generous paid time off

Job Description Job Title: Embedded SDV Lead Location: Warrendale PA Job Description We are seeking an experienced SDV Lead to define and drive the Software-Defined Vehicle (SDV) strategy, roadmap, and execution across vehicle platforms. The role requires strong program management, strategic planning, cross-functional leadership, and an understanding of automotive software architecture, connected vehicle technologies, and software lifecycle management. Key Responsibilities Define and drive the SDV vision, strategy, and execution roadmap aligned with business objectives and global OEM strategies. Translate business goals into prioritized initiatives, programs, milestones, and long-term software innovation plans. Lead SDV transformation across vehicle platforms, applications, and lifecycle capabilities. Identify and prioritize SDV use cases, including infotainment, OTA updates, digital keys, voice user interfaces, and connected vehicle services. Collaborate with engineering, product management, business, and digital teams to establish program priorities, KPIs, milestones, and delivery plans. Partner with engineering teams on SDV architecture, including central compute platforms, zonal architecture, vehicle operating systems, middleware, APIs, cloud connectivity, and OTA infrastructure. Align SDV platform planning with technologies and ecosystems such as Arene, QNX, Android Automotive, and cloud platforms. Drive collaboration with global engineering teams, Tier-1 suppliers, technology partners, and business stakeholders. Manage vehicle software lifecycle capabilities, including OTA updates, feature activation, subscription-based features, software monetization, release management, and post-launch monitoring. Develop business cases and ROI models for ECU consolidation, cost optimization, software reuse, subscription revenue, and feature monetization. Track value realization against business objectives, vehicle volumes, pricing strategies, and customer lifetime value. Establish governance frameworks for milestone tracking, risk management, executive reporting, and continuous improvement. Assess organizational capability gaps across embedded software, cloud technologies, DevOps, engineering automation, and validation and testing. Support SDV innovation labs, prototyping environments, and simulation and validation platforms while promoting software development best practices. Required Skills and Qualifications Strong experience in SDV strategy, program management, automotive software, or vehicle platform transformation. Understanding of automotive SDV architecture, central compute, zonal architecture, middleware, vehicle operating systems, and hardware-software decoupling. Knowledge of connected vehicle technologies, OTA updates, digital services, and software lifecycle management. Familiarity with automotive software ecosystems such as Arene, QNX, Android Automotive, and cloud platforms. Experience in cross-functional program planning, stakeholder management, risk mitigation, and executive reporting. Ability to develop business cases, ROI models, KPIs, and value realization plans. Understanding of embedded software engineering, cloud technologies, DevOps, and software validation processes. Strong strategic thinking, communication, leadership, and decision-making skills. Preferred Experience Experience working with automotive OEMs, Tier-1 suppliers, or connected vehicle technology partners. Exposure to subscription-based vehicle features, software monetization, and digital services. Experience leading large-scale automotive software transformation programs. Knowledge of industry trends, competitor benchmarking, and emerging SDV technologies.

Job Description I'm working with a global financial services organisation looking to appoint a VP of Cybersecurity Governance, Risk & Compliance, reporting directly to the CISO. I'll be upfront. We're not looking for a traditional GRC leader. If your experience has primarily involved maintaining existing governance frameworks, managing audits and overseeing compliance processes, unfortunately I won't be able to consider you for this opportunity. The reason is that the CISO wants someone who has genuinely modernised a GRC function, introduced more sophisticated approaches to risk management and can work extremely closely with security engineering and architecture teams. The CISO wants someone who understands the technology behind the risks being assessed, can engage with engineers on technical controls and security architecture, and translate that understanding into more meaningful risk assessments and decisions. AI and automation are also central to the vision for the function, particularly how they can improve risk assessments, control monitoring and the wider approach to GRC. This is also a significant leadership opportunity. You'll inherit a team of around eight people, with the responsibility to develop and motivate the team, raise standards and introduce new ways of working. This is what the CISO is looking for in a GRC leader: A proven leader who has built, developed and motivated high-performing GRC teams. Someone who can demonstrate they've modernised or transformed a GRC function, rather than simply maintained one. Strong technical credibility, with experience working closely alongside security engineering, architecture and technology teams. Experience introducing more advanced risk assessment methodologies that go beyond traditional compliance-led approaches. An understanding of how AI and automation can be used to improve risk management and GRC processes. Strong experience across security governance, policies, standards, risk management, control assurance and regulatory requirements. Experience within financial services or another highly regulated environment is essential. Someone who can communicate technical risk effectively to the CISO and wider executive leadership. Location: Candidates must be based in the New York Metro area and able to attend the Manhattan office as required, typically 1-2 days per week. Work authorisation: Applicants must be US citizens or Green Card holders. Visa sponsorship is not available. Compensation: $300k base salary plus bonus. If you've led GRC transformation, developed strong teams and enjoy working closely with engineering to improve how security risk is managed, I'd be interested in speaking with you.

Job Description Looking for a career where hard work is valued, and your ideas and feedback are part of the way we operate daily? Want to bring your skills to a company that encourages teamwork and champions continued education and process improvement? Atlas Tech, a veteran-owned IT company serving multiple DoD customers in support of America's warfighters, is looking for a Senior Cloud Engineer in North Charleston, SC. This is an onsite position requiring a relocation if you are outside of the Charleston market. The ideal candidate for this position will have proven experience in a technology-driven program or project supporting the US Navy. If you have systems engineering skills, a strong work ethic and commitment to quality, we would like to talk to you about joining our growing team. You Will: Design, deploy, secure, and sustain Microsoft Azure architectures, with preference for Azure Government over commercial cloud and Azure over AWS. Apply experience in DoD Impact Level environments; IL5 experience is strongly desired, and IL6 experience is ideal. Design hybrid-cloud solutions that run complementary services on premises and in Azure, including integration and management through Azure Arc. Engineer external connectivity and direct-connect solutions, including Azure ExpressRoute, VPN Gateway, routing, and connectivity to on-premises networks. Design and manage internal networking, including virtual networks, subnets, network security groups, VLANs, routing, and network segmentation. Implement cloud security using Microsoft Defender, Azure Firewall, VPN Gateway, secure baselines, least-privilege access, and Zero Trust principles. Design and administer Azure identity, role-based access control, privileged access, and service identities, including integration with program-provided NIS tools. Architect and support Azure Virtual Desktop, Windows and Linux virtual machines, and containerized workloads. Evaluate technical, cybersecurity, mission, and cost constraints and develop resilient Azure solution architectures and implementation plans. Develop repeatable infrastructure provisioning and configuration using Azure Automation integrated with Terraform; PowerShell, Bash, Python, and CI/CD experience is valuable. Troubleshoot complex cloud, network, identity, security, compute, and hybrid-integration issues across lab and production environments. Produce architecture diagrams, implementation plans, test artifacts, operating procedures, and RMF/ATO compliance evidence; participate in technical reviews and change management. You Have: US Citizenship Possession of a Department of Defense (DoD) Secret Level Security Clearance with a current SSBI/T5 investigation, TS/SCI desired DoD Certifications to be qualified as an Information Assurance Technician (IAT) Level II (e.g. CompTIA Security+ certification) 10+ years of experience with C4I systems with specific focus on systems engineering and cybersecurity support Bachelor's Degree in Engineering, Computer Science, or related field Operating System Certificate (e.g., Linux+, Windows Server, CCNA, etc) Experience supporting Navy C4I or comparable DoD mission environments. Azure Government and classified-cloud engineering experience at IL6. Advanced Azure architecture experience with Azure Virtual Desktop, Azure Arc, ExpressRoute, Azure Firewall, Microsoft Defender, VPN Gateway, virtual machines, containers, and role-based access control. Hybrid-cloud architecture spanning on-premises infrastructure and Azure services. Terraform integrated with Azure Automation, Git-based version control, and CI/CD pipelines. Experience with Azure Kubernetes Service or other Kubernetes/container platforms. Familiarity with DISA STIGs, ACAS/SCAP remediation, RMF controls, POA&Ms, and continuous monitoring. Strong communication, technical documentation, collaboration, and leadership skills in a multi-disciplinary Agile environment. Want to hear more? Read on to see what our Team Members say about their experience: "To me, the best part about working at Atlas is the level of transparency afforded to everyone in the company. I've had plenty of jobs where I knew what I was doing, but at Atlas there is a concerted effort to make sure we also understand why, and how our role directly impacts the overall mission." - Jess "With LEARNING as a core value, Atlas is constantly promoting ways to increase knowledge and stay at the forefront of the latest technology. Team members are regularly encouraged to continue learning and Atlas provides training resources and skills enhancement opportunities internally as well as education reimbursement if you prefer to obtain skills through outside resources or higher education." - Wendy Atlas Tech is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, genetic information, or protected veteran status. We are committed to fostering an inclusive workplace where diverse perspectives are valued and respected. Accessibility & Accommodations Atlas Tech strives to make our website accessible to all users. If you need assistance completing the application process or require a reasonable accommodation due to a disability, please contact us at . This contact information is designated for accommodation requests only and cannot be used to inquire about the status of an application. Atlas Tech is committed to providing reasonable accommodations in accordance with the Americans with Disabilities Act (ADA). Atlas Tech offers a competitive salary, generous benefits package, and an opportunity to make a positive impact in your own community.

Job Description Required Qualifications 10+ years of professional software development experience with modern C++ (C+ or later) . Strong development experience on Linux and/or Android . Hands-on experience with AOSP or embedded Android , including: Soong / Android.bp Native services AIDL / Binder ADB System properties SELinux fundamentals Strong unit-testing experience with gtest/gmock . Solid understanding of multithreading, mutexes, concurrency, IPC, and shared state . Backend programming experience in Hack/PHP, Python, Java, or Kotlin , with willingness to work regularly in Hack/PHP. Strong SQL and data-analysis skills. Experience with Python and shell scripting for automation. Proficiency with Git, code reviews, cherry-picks, and multi-branch development/release workflows . Strong written communication and ability to work independently. Ability to work primarily during Pacific business hours , including flexibility for on-call handoffs and launch-critical activities. Preferred Qualifications Telemetry, logging, or analytics pipeline experience, including protobuf, serialization, sampling, batching, and data uploads. Android/Linux crash diagnostics experience with tombstones, minidumps, symbolication, bug reports, or log collection.

Job Description Job Description Experience: 8 - 10 Years Infrastructure Automation Engineer • 6+ years of experience in Infrastructure Automation with Application Integration knowledge. • Strong hands-on experience with Python scripting and application development. • Experience integrating ServiceNow with enterprise applications using REST/SOAP APIs. • Good to have knowledge of ServiceNow modules such as ITSM, ITOM, CMDB, Discovery, and Integration Hub. • Experience with infrastructure automation tools such as Ansible, PowerShell, Terraform, or similar platforms. • Strong understanding of API design, JSON, XML, OAuth, and secure authentication mechanisms. • Experience working with Windows/Linux environments and cloud platforms (AWS/Azure). • Familiarity with SQL databases, data integration, and automation frameworks. • Experience with Git, CI/CD pipelines, automated testing, and Agile methodologies.

Job Description About the Opportunity We are partnering with a leading quantitative trading firm seeking an experienced Storage Infrastructure Engineer to join its Data Engineering Infrastructure team in Chicago. This is a hands-on engineering role focused on building, scaling, and maintaining the large-scale storage and data infrastructure supporting high-frequency trading and quantitative research operations. The position involves working directly with on-premises infrastructure, Linux systems, distributed storage technologies, and enterprise storage platforms. As the firm's data requirements continue to grow, this engineer will contribute to the performance, reliability, and scalability of its underlying storage environment. Key Responsibilities Design, deploy, and operate large-scale data storage infrastructure, including Hadoop, enterprise storage, and S3-compatible platforms. Build, maintain, and scale on-premises storage systems supporting data-intensive workloads. Tune Linux systems for I/O throughput, performance, and reliability. Automate infrastructure configuration and deployment using Ansible, Puppet, or similar automation tools. Implement monitoring and observability using Prometheus and related technologies. Partner with engineering teams to deliver reliable, well-architected data solutions, with a focus on storage and Kafka. Contribute to storage architecture, capacity planning, and infrastructure scalability. Work with distributed storage technologies and support the continued development of the firm's data infrastructure. Required Skills & Experience 5+ years of experience in systems engineering, with a strong focus on data storage infrastructure. Strong Linux fundamentals, including debugging, troubleshooting, and performance tuning for I/O throughput. Hands-on experience building, implementing, operating, or scaling storage systems. Experience working with on-premises infrastructure and distributed storage environments. Hands-on experience with Ansible and Puppet for configuration management and automation. Familiarity with open-source, S3 API-compliant, and enterprise storage technologies. Working knowledge of the Hadoop ecosystem, including YARN. Experience with Java and Python. Experience with Prometheus-based monitoring and alerting. Familiarity with Kubernetes. Comfort working with AI-assisted development tools in an enterprise environment.

Job Description We're working with a global trading technology firm scaling its research compute infrastructure across on-premises environments and public cloud platforms. This is a hands-on engineering opportunity spanning large-scale Linux systems, CPU/GPU compute, high-performance storage and cloud infrastructure. You'll help build and optimise the platforms used for complex simulations, quantitative modelling and computationally intensive research. What You'll Be Working On Building and scaling Linux-based HPC clusters across on-premises and cloud environments. Supporting CPU and GPU compute infrastructure for demanding research workloads. Engineering high-throughput storage solutions for large-scale data processing and simulation. Troubleshooting complex performance issues across Linux, networking, storage and compute. Automating infrastructure provisioning and configuration using Ansible, Terraform and similar tooling. Working with AWS, GCP or Azure to expand compute capacity and improve platform scalability. Evaluating new hardware, infrastructure technologies and approaches to HPC optimisation. Collaborating with software engineers and quantitative research teams to deliver reliable, high-performance compute environments. What We're Looking For Strong Linux systems knowledge and infrastructure troubleshooting skills. Experience with HPC, large-scale compute clusters or distributed infrastructure. Familiarity with cloud platforms such as AWS, GCP or Azure. Experience witah infrastructure automation using Ansible, Terraform or similar tools. Understanding of compute, storage and networking fundamentals. Exposure to GPU computing, high-performance storage or cluster management is advantageous. Python or Bash scripting experience is beneficial. Strong problem-solving skills and an interest in performance engineering and scalable infrastructure. What Can You Expect? Work on the compute infrastructure powering advanced quantitative and options research. Gain exposure to large-scale Linux environments, GPU computing and hybrid cloud architecture. Solve complex infrastructure challenges across compute, storage and networking. Collaborate with highly skilled infrastructure engineers, developers and quantitative researchers. Base salary: $200,000-$250,000 USD , plus discretionary performance bonus. Comprehensive healthcare, retirement benefits, generous paid leave and professional development opportunities. Interested in building infrastructure where computational performance really matters? We'd love to hear from you. Is this role not quite a fit? Feel free to check our website for more openings and let's get in touch for your next challenge!

Job Description AI / Forward Deployed Engineer Requires 4+ years of full-time professional experience after completing a degree. Candidates must have existing US work authorization. H1B transfers and TN status are accepted. No new visa sponsorship, OPT, or CPT. We are an executive search firm focused primarily on technology hiring across the buy side, working with some of the most prominent hedge funds and investment firms in the market. We've had significant success placing high-caliber technology talent with our clients and are continuing to build out our pipeline as new searches come online. AI has quickly become one of our most active areas of sear ch. We are currently working on several AI / Forward Deployed Engineering searches with leading investment firms and have already started interviewing top candidates for these opportunities. We're looking for highly qualified engineers with strong software engineering fundamentals and hands-on AI experience who can work directly with investment, research, and business teams to build practical solutions. What you'll be doing Work directly with investment, research, and other business teams to understand their workflows and identify where AI can add value. Build and deploy AI-powered applications, internal tools, and workflows. Work with LLMs, APIs, proprietary data, and third-party data sources. Build solutions around research automation, information retrieval, document analysis, data extraction, and other internal workflows. Take projects from an initial idea through prototype and into production. Work closely with users, gather feedback, and continuously improve what you build. Partner with engineering and infrastructure teams around deployment, security, scalability, and reliability. What we're looking for Strong software engineering background, ideally with Python as a primary language. Hands-on experience building with LLMs / Generative AI. Experience working with APIs, databases, data, and cloud environments. Understanding of areas such as RAG, agents, embeddings, prompt engineering, or LLM evaluation. Strong problem-solving skills and the ability to work with limited direction. Comfortable working directly with senior users and translating business problems into technical solutions. Strong academic background in Computer Science, Engineering, Mathematics, or a related field. Financial markets experience is a plus

Job Description Job Title: Healthcare Data Engineer - Real-Time & Cloud Platforms Location: Nashville, TN ( Onsite from day 1 ) Duration: 6+ Months 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. Work Authorization Applicants must be legally authorized to work in the United States. Equal Employment Opportunity Themesoft Inc is an Equal Employment Opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by applicable federal, state, or local law.

Job Description Position Overview: We are seeking an experienced Senior Cloud Automation Engineer to support a large-scale enterprise cloud transformation initiative. The organization currently operates a significant on-premises VMware infrastructure and is looking to migrate substantial workloads to the cloud while developing new cloud-native capabilities. The ideal candidate will have strong experience in infrastructure automation, Infrastructure as Code (IaC), GitOps methodologies, and cloud engineering. This individual will play a key role in automating infrastructure provisioning, supporting virtual machine migrations, and enabling the organization's broader cloud adoption strategy across internal business systems, back-office applications, and customer-facing solutions. Key Responsibilities: Design, develop, and maintain infrastructure automation solutions using Terraform, Ansible, and GitOps practices . Support the migration of existing on-premises VMware virtual machines and enterprise workloads into cloud environments. Develop Infrastructure as Code (IaC) solutions to automate cloud infrastructure provisioning, configuration, and lifecycle management. Establish and maintain GitOps workflows and CI/CD pipelines to support consistent, repeatable infrastructure deployments. Collaborate with infrastructure, networking, security, and application teams to assess workload readiness and execute cloud migration strategies. Support the deployment of new cloud-native applications and infrastructure for internal operations, back-office systems, and customer-facing services. Automate configuration management, deployment, monitoring, and operational tasks across hybrid cloud environments. Implement infrastructure standards and automation best practices to improve scalability, reliability, security, and operational efficiency. Assist with cloud environment optimization, including resource management, performance monitoring, and cost efficiency. Identify opportunities to leverage AI-enabled tools and emerging technologies to improve infrastructure automation and operational efficiency. Develop technical documentation, reusable automation modules, and standardized deployment processes. Required Qualifications: 5+ years of experience in infrastructure engineering, cloud engineering, DevOps, or infrastructure automation. Strong hands-on experience with Terraform for Infrastructure as Code. Strong experience with Ansible for configuration management and automated deployment. Experience implementing GitOps workflows using Git-based repositories and CI/CD tooling. Experience managing and supporting on-premises VMware vSphere / ESXi environments. Demonstrated experience migrating virtual machines, applications, or infrastructure workloads from on-premises environments to public cloud platforms. Hands-on experience with at least one major cloud provider, preferably Microsoft Azure or AWS. Proficiency with scripting languages such as Python, PowerShell, or Bash. Understanding of cloud networking, identity and access management, security, storage, and infrastructure monitoring. Experience supporting hybrid infrastructure environments and enterprise cloud adoption initiatives. Strong troubleshooting, analytical, documentation, and cross-functional communication skills. Preferred Qualifications: Experience with Microsoft Azure, including Azure Virtual Machines, Azure Migrate, Azure DevOps, and Azure infrastructure services. Experience with AWS and/or multicloud environments. Familiarity with containerization and orchestration technologies such as Docker and Kubernetes. Experience with GitHub Actions, GitLab CI/CD, or Azure DevOps Pipelines. Understanding of cloud migration frameworks, landing zones, and infrastructure modernization strategies. Experience utilizing AI-assisted coding, infrastructure automation, AIOps, or intelligent monitoring technologies. Familiarity with cloud security, governance, and compliance frameworks. Relevant certifications such as HashiCorp Terraform Associate, Microsoft Azure Administrator, Azure DevOps Engineer Expert, or AWS certifications. Ideal Candidate Profile: The successful candidate will be a hands-on engineer who is equally comfortable working within traditional VMware infrastructure and modern cloud environments. This individual should be capable of building scalable automation frameworks, contributing directly to enterprise cloud migration efforts, and enabling new cloud-based solutions. The position requires someone who can execute technical work independently while collaborating closely with internal teams to accelerate cloud adoption and infrastructure modernization. Work Location Requirement: This position requires working onsite in Reston, Virginia, five days per week. Work Authorization: U.S. Citizen or Green Card

Job Description JCW has partnered with a leading digital assets and data center infrastructure firm to identify a Vice President, DevOps/SRE to lead their infrastructure automation platform across data center operations. Based in Chicago, this is a senior technical leadership role for a DevOps/SRE professional who can steer an enterprise automation roadmap while remaining hands-on enough to dive into the code. The ideal candidate treats infrastructure as a product and has a proven track record building self-service automation platforms in complex hybrid environments. They are equally comfortable setting IaC governance standards and mentoring a team of engineers. This individual operates with an automate-first mindset, drives engineering velocity, and brings deep expertise across Terraform, Ansible, and VMware in large-scale environments. Key Qualifications 6-10 years of experience in infrastructure, DevOps, or SRE with a focus on automation at scale Deep proficiency with Terraform (providers, modules, state management) and Ansible (roles, playbooks, Tower/AWX) Hands-on experience with image creation tooling (Packer, SCCM) for hardened Windows and Linux builds in hybrid environments Strong experience managing and automating VMware (vSphere/vCenter) and cloud platforms (Azure, AWS) High-level scripting skills across Python, Go, PowerShell, and Bash Experience with observability tools such as Splunk, ELK, Prometheus, or Grafana Strong mastery of Git branching strategies and CI/CD platforms (Jenkins, GitLab CI, or GitHub Actions) Understanding of network topology with experience on platforms such as Juniper or Palo Alto Prior team leadership or management experience strongly preferred

Job Description Role: Enterprise DevOps Engineer Location: Trenton, NJ (Hybrid - 3 Days Onsite / 2 Days Remote) Employment Type: Contract Duration: Long Term Interview: Final Round - Face-to-Face Note: Local candidates only. Job Description: Seeking an experienced Enterprise DevOps Engineer to architect, automate, and govern enterprise CI/CD pipelines across Salesforce, AWS, and Snowflake environments. The ideal candidate will have strong hands-on experience with Copado, AWS DevOps services, GitHub Actions, infrastructure as code, and automated release management. Key Responsibilities: Design and manage enterprise CI/CD pipelines across Salesforce, AWS, and Snowflake. Build and maintain Salesforce deployment workflows using Copado , including metadata validation and release management. Develop serverless applications and backend microservices using Python or Node.js, AWS Lambda, API Gateway, SQS, SNS, and EventBridge. Build event-driven integrations and secure data ingestion workflows connecting Salesforce, AWS, and Snowflake. Provision and manage cloud infrastructure using CloudFormation and Terraform . Establish Git/GitHub branching strategies, pull request workflows, and release governance. Integrate automated testing, security scanning, secrets management, and monitoring into CI/CD pipelines. Support Snowflake schema migrations, sandbox management, data masking, and deployment automation. Maintain technical documentation, deployment architecture diagrams, and operational runbooks. Required Skills & Experience: Bachelor's or Master's degree in Computer Science, IT, or a related field. 7+ years of enterprise version control and release engineering experience with Git, GitHub, and branching strategies . 4+ years of Salesforce CI/CD architecture and Copado release management . 5+ years of AWS development and infrastructure experience, including Lambda, S3, IAM, CloudFormation, and Terraform . 5+ years of scripting and pipeline automation using Python, Bash, and GitHub Actions . Preferred Skills: Salesforce DX (SFDX) and Metadata API. Snowflake deployment automation and schema migrations. AWS Certified DevOps Engineer or equivalent AWS certification. LinkedIn and Salesforce Trailblazer profiles, if available.

Job Description C&F is a technology services company providing innovative solutions in Data Management, Big Data, Advanced Analytics and Compliance. With a highly integrated team of 400+ experts, for over 20 years C&F has been delivering superior engineering and premium operations to Fortune 500 companies, primarily in the Life Science industry. About Our Manufacturing Business Unit Our company is organized into unique Business Units, each delivering innovative and differentiated business technology solutions across industries. The Manufacturing Business Unit specializes in enterprise-scale manufacturing solutions that drive site- and network-level outcomes aligned to strategic objectives and KPIs. Our applications, data products, and advanced platform technologies-including AI and IoT-enable Digital Manufacturing at Scale. We primarily serve enterprise clients across Human Pharma, Animal Health, and Consumer Goods industries. Our Manufacturing Business Unit operates through three integrated functions: • Strategy & Growth - Develops differentiated offerings and industry thought leadership. • Business Consulting - Defines client-customized solutions and ensures sustained value realization. • Engineering Delivery - Delivers solution architecture, development, deployment, and sustainment. The Business Consulting function is hiring a Manager, Manufacturing Solutions Business Consultant to serve as a Product Owner and consulting lead across manufacturing digital initiatives. Position Overview The Consultant supports delivery of Digital Manufacturing initiatives by acting as a Business Analyst and/or Junior Product Owner within client engagements. This role partners closely with Managers and Senior Managers to define requirements, structure documentation, develop client-ready materials, and support Agile delivery execution. The Consultant plays a key role in translating manufacturing business needs into functional artifacts that enable engineering teams to deliver value. This is a hands-on, consulting and analytical role suited for individuals with early experience in Manufacturing OT, Manufacturing IT or technology. The role also requires a working understanding of artificial intelligence (AI), including generative AI and agentic technologies, and an interest in applying these capabilities to practical manufacturing and business challenges. Key Responsibilities Consulting & Problem Solving Support consulting engagements by analyzing manufacturing business needs, contributing to client discussions, and helping develop practical recommendations and solutions. Business Analysis & Requirements Development • Support facilitation of client workshops to gather functional and non-functional requirements. • Document business processes, current-state pain points, and future-state solution designs. • Develop structured requirements documentation, user stories, and acceptance criteria. • Assist in translating manufacturing KPIs (OEE, quality, throughput, asset performance) into measurable solution objectives. • Maintain traceability between business requirements and delivered functionality. Product & Backlog Support • Support backlog development and refinement under guidance of a Manager or Senior Manager. • Draft epics, features, and user stories aligned to defined roadmap priorities. • Participate in sprint planning, demos, and retrospectives. • Track action items, risks, and dependencies across delivery workstreams. • Assist in maintaining roadmap documentation and milestone trackers. Documentation & Presentation Development Develop high-quality client-ready materials including: Roadmap summaries Workshop outputs Business case inputs Solution overviews Executive presentation drafts: -Structure content using clear, logical storytelling and data-supported insights. -Support development of proposal materials and Statements of Work. -Ensure documentation is clear, concise, and professionally formatted. Agile & Delivery Support • Operate within Agile delivery models (Scrum, SAFe, or hybrid environments). • Support backlog grooming and sprint documentation. • Assist with tracking sprint progress and updating delivery artifacts. • Promote disciplined documentation and communication standards. Manufacturing Domain & Technical Acumen • Build working knowledge of manufacturing business processes (production execution, quality, maintenance, traceability). • Develop familiarity with manufacturing technology ecosystems • Support analysis of integration points across MES, ERP, IoT, and data platforms. AI & Agentic Solution Support • Support identification and documentation of AI-enabled use cases across manufacturing processes, knowledge workflows, decision support, and task automation. • Translate AI use cases into business requirements, process flows, user stories, acceptance criteria, test scenarios, and measurable success criteria. • Build familiarity with large language models, AI agents, retrieval-augmented generation, machine learning, and enterprise AI governance concepts. Required Qualifications • 3+ years of consulting experience in manufacturing, technology, or digital delivery environments. • Proven consulting experience supporting client discussions and helping develop practical recommendations and solutions. • Experience supporting requirements gathering and documentation. • Exposure to Agile delivery methodologies. • Strong written and verbal communication skills. • Analytical mindset with structured problem-solving capabilities. • Proficiency in presentation development tools (e.g., PowerPoint, Excel). Preferred Qualifications • Bachelor's degree • Experience in technology delivery or implementation • Experience with project management practices and project management software • Experience working with cross functional teams such as UI/UX designers, software/data engineers and end users What we offer: Competitive remuneration and various benefits: 401(k) Retirement Plan (Immediate eligibility with 100% employer match up to 4%.) Medical Insurance Maternity and Paternity Leave Long-Term Disability Bereavement leave Generous Sick Leave Internet and Phone stipend Development stipend Wellness stipend Generous Paid Time Off: 20 days in the first year, increasing to 25 days We work fully remotely but expect openness to occasional travel Company culture is rooted in respect and cooperation. You'll be working with great people, who are open to new challenges and directions. If you are tired of the proverbial corporate treadmill, come to us to rest mentally. If you've had luck with employers, we'll do our best not to buck the trend. Additional Info: Range: $100,000 - $115,000 + Bonus Location: Remote (US East Coast) Travel: 10%

Job Description Job Title: Sr. DevOps Engineer Location: New York, NY - 3 Days onsite/Hybrid Role W2 Full-time role Experience should be 8-15 Yrs only Requirement: Skill set: Very strong hands-on seasoned DevOps, CI/CD pipeline, Automation . Exp in tools like GitLab CI, Jenkins, and Circle CI etc. Required Skills & Experience: 7-15 years of experience in DevOps Engineering and Release Management. Strong expertise in CI/CD pipeline design, implementation, and optimization . Hands-on experience with GitLab CI, Jenkins, and Circle CI . Experience in automation of build, deployment, and infrastructure processes . Collaborate with Development, QA, and Operations teams to streamline software delivery. Monitor, troubleshoot, and enhance deployment reliability and performance. Knowledge of scripting and process automation best practices. Strong problem-solving skills with a focus on operational efficiency and continuous improvement.

Job Description Job Title: GenAI Architect Location: New York City, NY (Onsite/Local Candidates Preferred) Experience: 10+ Years Visa: Open to All Visa Types Job Summary: We are seeking an experienced GenAI Architect with 10+ years of overall experience to design, architect, and lead the delivery of enterprise-grade Generative AI solutions. The ideal candidate will have strong expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI workflows, and cloud-based AI architectures. The candidate will be responsible for translating business requirements into scalable, secure, and production-ready AI solutions while collaborating closely with business stakeholders, data scientists, and engineering teams. Key Responsibilities: Design and architect enterprise-grade Generative AI solutions leveraging LLMs, RAG pipelines, and agentic AI frameworks. Lead the development and implementation of scalable AI applications and intelligent automation solutions. Architect end-to-end RAG solutions, including document ingestion, chunking, embedding generation, vector databases, retrieval, and response generation. Design and implement agentic workflows using tools, APIs, orchestration frameworks, and multi-agent architectures. Evaluate and integrate LLM models from providers such as OpenAI, Anthropic, Google, and open-source ecosystems. Leverage cloud platforms such as AWS, Azure, or GCP to build and deploy enterprise AI solutions. Establish best practices for prompt engineering, context management, model evaluation, performance optimization, and LLM observability. Ensure AI solutions meet enterprise requirements for security, scalability, governance, compliance, and responsible AI. Collaborate with business stakeholders and technical teams to identify AI opportunities and translate business use cases into technical architectures. Provide technical leadership, architecture guidance, and mentorship to engineering teams throughout the development lifecycle. Required Technical Skills: 10+ years of overall experience in software engineering, solution architecture, AI/ML, or related technology domains. Strong hands-on experience designing and implementing Generative AI and LLM-based applications. Extensive experience with RAG architecture, vector databases, embeddings, semantic search, and knowledge retrieval systems. Strong understanding of Agentic AI, AI agents, multi-agent systems, and tool/function calling. Experience with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar. Proficiency in Python and experience developing enterprise-grade applications and APIs. Experience working with LLM providers such as OpenAI, Azure OpenAI, Anthropic, Gemini, or open-source LLMs. Strong experience with at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud Platform. Knowledge of vector databases such as Pinecone, Azure AI Search, FAISS, Weaviate, Milvus, or Chroma. Understanding of LLMOps, model deployment, monitoring, evaluation, and optimization. Experience with enterprise security, data privacy, access controls, and responsible AI practices. Preferred Qualifications: Experience architecting and delivering enterprise-scale GenAI solutions from concept to production. Knowledge of Kubernetes, Docker, microservices, and CI/CD pipelines. Experience with fine-tuning, model customization, and prompt optimization. Familiarity with AI governance, guardrails, hallucination mitigation, and responsible AI implementation. Excellent communication, stakeholder management, and technical leadership skills.

Job Description Location : Columbia, MD Atleast 3 days on-site Position Description : The Application Architect (Senior) manages major projects that involve providing professional support services and/or the integration, implementation, and transition of large, complex systems. This individual is responsible for performing the following tasks: The Senior AI Solution Architect designs and deploys scalable AI/ML systems, bridging business needs with technical execution. Key responsibilities include creating data strategies, selecting AI frameworks (e.g., TensorFlow, PyTorch), managing LLMs/pipelines, and providing technical leadership. This role requires 5+ years of experience in IT, machine learning, cloud platforms (AWS/Azure/GCP), and a bachelor's or master's degree in Computer Science or a quantitative field Providing design and development of e-government solutions, and taking responsibility for technical design and implementation of the architecture; Designing, developing, and maintaining infrastructure and backend applications; Providing expertise on defining the role of broadband and wireless applications; Providing definition of current State architecture blueprints; Providing expertise with web servers, gateways, application servers, and content management systems; Providing experience in web application technologies and middleware solutions; Researching new technologies and products for their applicability to business processes; Comparing various solutions and determining the most suitable; and Ensuring that development efforts are well-planned and in compliance to standards. Education: This position requires a Bachelor's degree from an accredited college or university in Engineering, Computer Science, Mathematics, or a related scientific or technical discipline. (Note: A Master's degree is preferred.) General Experience: The proposed candidate must have at least ten (10) years of experience planning, designing, building, and implementing IT application systems. This individual must have led or been chief architect in a major IT applications implementation effort. This individual must also have a strong background in software engineering principles and techniques. Specialized Experience: The proposed candidate must have at least six (6) years of experience in designing medium to large-scale sites, and management of at least five Internet projects. Provide guidance on modernization of legacy applications and refactoring into cloud-native and service-oriented architectures. Maintain technical documentation, architecture decision records (ADRs), and architectural runbooks. Mentor junior architects and senior developers on architectural thinking, scalability, and best practices. Proficient in Python, Java, or C#; familiar with CI/CD for machine learning (MLOps). Strong communication, presentation, and consulting skills for working with stakeholders and executives. Extensive IT Experience: Significant experience in software development, engineering, and IT, often moving up from roles like Data Scientist or Machine Learning Engineer. AI/ML Expertise: Proven experience in running and fine-tuning models (e.g., LLMs, LoRA, RLHF). Cloud & Data: Strong proficiency in cloud computing platforms (AWS, Azure, GCP) and data architecture. Domain Expertise: Often requires experience in specialized areas like healthcare, finance, or security-sensitive environments. At least ten (10) years of experience with architecting multi-tier web solutions At least five (5) years of experience with JavaScript frameworks such as Node.JS Strong programming skills in designing and implementation of multi-tier, distributed and highly scalable applications using Node.JS, Java, J2EE, Spring, JavaScript, Hibernate, JSON. Strong experience in developing and deploying solutions using Node.JS on Linux based AWS EC2 Cloud Infrastructure and Docker container. Experience with modern DevOps automation and modern containerization, orchestration, and virtualization technologies Experience with architecting and developing mobile applications for ios or android platforms is a plus. Experience with Test-Driven Development using automated testing frameworks such as Selenium, Cucumber and Protractor ExpediteInfoTech, Inc. is an Equal Opportunity Employer. Please carefully review the position details, including location, work authorization status and other government contractual requirements.