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Job Description Location: Naperville, IL - Initial hybrid 3x/week onsite, transitioning to remote Pay: 130k-160k+ BOE No 3rd parties please MMD Services is partnering with a long-standing client, a well-established national organization with exceptional employee tenure, on a major cloud modernization initiative. MMD has partnered with hiring managers and senior leadership within this org for the last 10 years and all presented candidates will be shortlisted. We're looking for a seasoned infrastructure engineer who understands both legacy and modern cloud technologies and can bring practical experience, technical leadership, and fresh ideas to the team. What You'll Be Doing: Take ownership of AWS infrastructure engineering across EC2, S3, VPC, and related services. Help introduce Terraform and Infrastructure as Code into an environment currently relying on manual provisioning and management. Collaborate with Microsoft and internal engineers on a large-scale VMware-to-Azure migration. Identify and resolve technical challenges involving legacy applications, Windows Server, VMware, and hybrid infrastructure. Evaluate existing cloud environments and recommend improvements to architecture, automation, performance, and reliability. Contribute to technical decisions and best practices across AWS, Azure, and on-premises infrastructure. What We're Looking For: 10+ years of progressive infrastructure engineering experience, with a strong foundation in traditional on-premises environments. Hands-on experience migrating legacy VMware/Windows workloads into Azure. Strong AWS infrastructure experience, including EC2, S3, VPC, and IAM. Experience with Terraform and Infrastructure as Code, ideally including implementing automation in traditional environments. Strong background in VMware/vSphere, Windows Server, Active Directory, and legacy enterprise applications. Hands-on Azure experience, including Azure Portal, virtual machines, storage, and networking. Ability to work independently, troubleshoot complex environments, and contribute meaningful technical recommendations. Nice to Have: Azure Migrate, Azure Site Recovery, Azure Monitor, or Azure Backup. CloudFormation, Ansible, or PowerShell. Cloud security, monitoring, backup, and disaster recovery experience. Why This Opportunity? You'll work alongside an experienced infrastructure team and Microsoft implementation resources on a significant modernization initiative. The environment combines traditional enterprise systems with modern cloud technologies, giving you the opportunity to apply your past migration experience, help introduce new automation practices, and influence technical improvements. About MMD Services: MMD Services is a Chicago-based boutique IT recruiting firm with over 20 years of established client relationships. We work directly with hiring leadership and take a personalized, quality-over-quantity approach to recruiting. MMD Services Inc. is an equal opportunity employer. All applicants are considered for all positions without regard to race, religion, color, sex, gender, sexual orientation, pregnancy, age, national origin, ancestry, physical/mental disability, medical condition, military/veteran status, genetic information, marital status, ethnicity, alienage, or any other protected classification in accordance with applicable federal, state, and local laws.

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.

Pay Range: $82.12hr - $87.12hr Job Overview: The FEP Operations Center is seeking a senior or lead mainframe z/OS Systems Engineer to support the mainframe platform and environments and help in the maintenance, transformation, and modernization of the FEPOC mainframe technology stack. The focus will be on mainframe security (RACF, Encryption of data at rest and data in transit, CyberArk integration to RACF, and Vulnerability assessment and mitigation on mainframe). Tasks: Lead and participate in the analysis, design, development, and implementation of mainframe system engineering activities. Work with existing mainframe managed service provider to improve and optimize services to internal and external customers and improve resiliency and availability of the z/OS mainframe platform. Analyze and recommend improvements to the scalability and resiliency of applications and systems running on Z platform. Provide hands on technical support for incident assessment and resolution for restoration of service. Support problem Root Cause Analysis (RCA). Competencies: Solid leadership and hands on technical experience. SYSPLEX and ICF configuration and tuning. CyberArk integration with RACF. Mainframe pervasive encryption and key management process. Vanguard compliance manager. Data encryption of data in transit and data at rest for mainframe. Good project management and ability to provide technical guidance to diverse teams. Internal drive, intellectual curiosity, ability to learn, and desire to help the customers succeed. Strong technical skills as well as good business acumen. Comfortable working with all levels of the organization. Required Skills: Infrastructure engineer with a minimum of 8-10 years experience supporting IBM zOS Systems in a SYSPLEX environment with the following skills: RACF -Security Administration 5-10 years experience. ZOS Systems Programmer 5-10 years of experience. CICS TS Systems Programming 5 -10 years of experience. MQ 5-10 years Systems Programming. DB2 5-10 years usage , doesn't have to be at Systems Programming level. ISV Production installation experience. General Systems Automation support (IBM System Automation). General Batch Scheduling support Control-M. Strongly Desired Skills: SYSPLEX and ICF configuration and tuning. Experience in de-coupling Sysplex environment is a plus. Working knowledge of network communication protocols (TCPIP). Excellent knowledge of hardware infrastructure of IBM z16 and Dell/EMC storage subsystems. Pervasive encryption on z/OS. Ransomware solutioning for mainframe. 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 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

Payrate: $76.00 - $76.92/hr. Responsibilities: Position Activities and Tasks Should be able to design complex and high performance Data architecture Developing and maintaining strong relations with senior executives-developing new insights into the client's business model and pain points, and delivering actionable, high-impact results Participating and leading key engagements, in developing plans and strategies of data management processes and IT programs for the business, providing hands on assistance in data modeling, technical implementation of big data solutions Facilitating, guiding, and influencing the clients and teams towards right information technology architecture and becoming interface between Business leadership, Tech leadership and the delivery teams Leading and mentoring other developers within the team Identify the performance bottle-necks and resolve the same Should be able to work in a team Ability to produce high quality work products under pressure and within deadlines To coordinate with developers / other architects / other stakeholders and cross functional teams from organization Qualifications: 5-7 years of experience in designing and implementing large scale data processing/data storage/data distribution systems Extensive experience working with large data sets with hands-on technology skills to design and build robust Big Data solutions using Spark framework, GCP Big data services and industry standard frameworks Ability to work with a multi-technology/cross-functional teams and key stakeholders to guide/manage a full life-cycle solution Extensive experience in Relational and MPP database platforms like (GCP Bigquery/Hive/Cloud SQL etc) Open source Hadoop stack/Spark framework Strong understanding of Big Data Analytics platforms and ETL in the context of Big Data Excellent problem solving, hands-on engineering skills and communication skills Broad understanding and experience of real-time analytics Participate in full Software Development Life Cycle (SDLC) of the Big Data Solution Process certification, such as, Six Sigma, CBPP, BPM, ISO 20000, ITIL, CMMI. Technical Skills Required: Any combination of below technical skills Hadoop : HDFS, MapReduce, Hive, Airflow DW : Bigquery, Hive Languages : Python, PySpark, Shell Scripting, SQL Scripting Cloud : GCP Big data native services Any RDBMS/DWBI technologies Spark(Mandatory): Spark on GCP Dataproc Education: Bachelor's degree in a technical field such as computer science, computer engineering or related field required. Skills: MapReduce Python Bigquery Pay Transparency: The typical base pay for this role across the U.S. is: $76.00 - $76.92/hr. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match, life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law. Consent to Communication and Use of AI Technology: By submitting your application for this position and providing your email address(es) and/or phone number(s), you consent to receive text (SMS), email, and/or voice communication whether automated (including auto telephone dialing systems or automatic text messaging systems), pre-recorded, AI-assisted, or individually initiated from Aditi Consulting, our agents, representatives, or affiliates at the phone number and/or email address you have provided. These communications may include information about potential opportunities and information. Message and data rates may apply. Message frequency may vary. You represent and warrant that the email address(es) and/or telephone number(s) you provided to us belong to you and that you are permitted to receive calls, text (SMS) messages, and/or emails at these contacts. You also acknowledge and agree to Aditi Consulting LLC's use of AI technology during the sourcing process, including calls from an AI Voice Recruiter. AI is used solely to gather data and does not replace human-based decision-making in employment decisions. Calls may be recorded. Consent is not a condition of purchasing any property, goods, or services. You may revoke your consent at any time by replying "STOP" to :messages or by contacting . For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our Privacy Policy

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)

Job Description Support, maintain, troubleshoot, and optimize IBM z/OS mainframe infrastructure . Perform z/OS systems programming, upgrades, maintenance, patching, and configuration. Support JCL, TSO/ISPF, SMP/E, PARMLIB, and Unix System Services . Troubleshoot complex mainframe system, performance, connectivity, and production issues. Support IPL processes, system availability, capacity, and performance monitoring . Partner with application, storage, network, security, database, and production support teams. Participate in incident, problem, change, and release management. Maintain technical documentation and operational procedures for the mainframe environment. Required Skills 5+ years of Mainframe Infrastructure / Systems Programming experience. Strong hands-on experience with IBM z/OS . Experience with SMP/E, JCL, TSO/ISPF, and PARMLIB . Experience supporting large enterprise production mainframe environments. Strong troubleshooting and root-cause analysis skills. Experience supporting highly available, business-critical systems. Strong communication and technical documentation skills. Preferred Skills CICS, DB2, and/or IMS RACF, ACF2, or Top Secret VTAM / TCP/IP DFSMS / HSM Mainframe storage and capacity management ServiceNow and ITIL environments Banking or financial services experience Ideal Candidate The ideal candidate is a seasoned Mainframe Systems Programmer / Infrastructure Engineer with deep IBM z/OS experience. This is not primarily a COBOL development position . The focus is supporting the stability, maintenance, performance, troubleshooting, and lifecycle of a large-scale enterprise mainframe environment. Ideal Profiles / Target Talent z/OS Systems Programmer with 5+ years supporting enterprise mainframe environments. Mainframe Infrastructure Engineer with strong z/OS, SMP/E, JCL, TSO/ISPF, IPL, and systems troubleshooting experience. CICS / DB2 / IMS Systems Programmer with infrastructure and production support experience. Mainframe Security Engineer with RACF, ACF2, or Top Secret experience. Mainframe Storage Engineer with DFSMS, HSM, DASD, backup/recovery, and capacity management experience. Candidates coming from large banking or financial-services mainframe environments are highly preferred. Primary Sourcing Titles Mainframe Systems Programmer z/OS Systems Programmer Mainframe Infrastructure Engineer IBM Z Systems Engineer Mainframe Systems Engineer Senior Mainframe Engineer CICS Systems Programmer Mainframe Storage Engineer Sourcing Focus: Prioritize candidates with IBM z/OS infrastructure and systems programming experience rather than profiles primarily focused on COBOL application development.

Job Description Support, maintain, troubleshoot, and optimize IBM z/OS mainframe infrastructure . Perform z/OS systems programming, upgrades, maintenance, patching, and configuration. Support JCL, TSO/ISPF, SMP/E, PARMLIB, and Unix System Services . Troubleshoot complex mainframe system, performance, connectivity, and production issues. Support IPL processes, system availability, capacity, and performance monitoring . Partner with application, storage, network, security, database, and production support teams. Participate in incident, problem, change, and release management. Maintain technical documentation and operational procedures for the mainframe environment. Required Skills 5+ years of Mainframe Infrastructure / Systems Programming experience. Strong hands-on experience with IBM z/OS . Experience with SMP/E, JCL, TSO/ISPF, and PARMLIB . Experience supporting large enterprise production mainframe environments. Strong troubleshooting and root-cause analysis skills. Experience supporting highly available, business-critical systems. Strong communication and technical documentation skills. Preferred Skills CICS, DB2, and/or IMS RACF, ACF2, or Top Secret VTAM / TCP/IP DFSMS / HSM Mainframe storage and capacity management ServiceNow and ITIL environments Banking or financial services experience Ideal Candidate The ideal candidate is a seasoned Mainframe Systems Programmer / Infrastructure Engineer with deep IBM z/OS experience. This is not primarily a COBOL development position . The focus is supporting the stability, maintenance, performance, troubleshooting, and lifecycle of a large-scale enterprise mainframe environment. Ideal Profiles / Target Talent z/OS Systems Programmer with 5+ years supporting enterprise mainframe environments. Mainframe Infrastructure Engineer with strong z/OS, SMP/E, JCL, TSO/ISPF, IPL, and systems troubleshooting experience. CICS / DB2 / IMS Systems Programmer with infrastructure and production support experience. Mainframe Security Engineer with RACF, ACF2, or Top Secret experience. Mainframe Storage Engineer with DFSMS, HSM, DASD, backup/recovery, and capacity management experience. Candidates coming from large banking or financial-services mainframe environments are highly preferred. Primary Sourcing Titles Mainframe Systems Programmer z/OS Systems Programmer Mainframe Infrastructure Engineer IBM Z Systems Engineer Mainframe Systems Engineer Senior Mainframe Engineer CICS Systems Programmer Mainframe Storage Engineer Sourcing Focus: Prioritize candidates with IBM z/OS infrastructure and systems programming experience rather than profiles primarily focused on COBOL application development.

Job Description Support, maintain, troubleshoot, and optimize IBM z/OS mainframe infrastructure . Perform z/OS systems programming, upgrades, maintenance, patching, and configuration. Support JCL, TSO/ISPF, SMP/E, PARMLIB, and Unix System Services . Troubleshoot complex mainframe system, performance, connectivity, and production issues. Support IPL processes, system availability, capacity, and performance monitoring . Partner with application, storage, network, security, database, and production support teams. Participate in incident, problem, change, and release management. Maintain technical documentation and operational procedures for the mainframe environment. Required Skills 5+ years of Mainframe Infrastructure / Systems Programming experience. Strong hands-on experience with IBM z/OS . Experience with SMP/E, JCL, TSO/ISPF, and PARMLIB . Experience supporting large enterprise production mainframe environments. Strong troubleshooting and root-cause analysis skills. Experience supporting highly available, business-critical systems. Strong communication and technical documentation skills. Preferred Skills CICS, DB2, and/or IMS RACF, ACF2, or Top Secret VTAM / TCP/IP DFSMS / HSM Mainframe storage and capacity management ServiceNow and ITIL environments Banking or financial services experience Ideal Candidate The ideal candidate is a seasoned Mainframe Systems Programmer / Infrastructure Engineer with deep IBM z/OS experience. This is not primarily a COBOL development position . The focus is supporting the stability, maintenance, performance, troubleshooting, and lifecycle of a large-scale enterprise mainframe environment. Ideal Profiles / Target Talent z/OS Systems Programmer with 5+ years supporting enterprise mainframe environments. Mainframe Infrastructure Engineer with strong z/OS, SMP/E, JCL, TSO/ISPF, IPL, and systems troubleshooting experience. CICS / DB2 / IMS Systems Programmer with infrastructure and production support experience. Mainframe Security Engineer with RACF, ACF2, or Top Secret experience. Mainframe Storage Engineer with DFSMS, HSM, DASD, backup/recovery, and capacity management experience. Candidates coming from large banking or financial-services mainframe environments are highly preferred. Primary Sourcing Titles Mainframe Systems Programmer z/OS Systems Programmer Mainframe Infrastructure Engineer IBM Z Systems Engineer Mainframe Systems Engineer Senior Mainframe Engineer CICS Systems Programmer Mainframe Storage Engineer Sourcing Focus: Prioritize candidates with IBM z/OS infrastructure and systems programming experience rather than profiles primarily focused on COBOL application development.

Job Description Support, maintain, troubleshoot, and optimize IBM z/OS mainframe infrastructure . Perform z/OS systems programming, upgrades, maintenance, patching, and configuration. Support JCL, TSO/ISPF, SMP/E, PARMLIB, and Unix System Services . Troubleshoot complex mainframe system, performance, connectivity, and production issues. Support IPL processes, system availability, capacity, and performance monitoring . Partner with application, storage, network, security, database, and production support teams. Participate in incident, problem, change, and release management. Maintain technical documentation and operational procedures for the mainframe environment. Required Skills 5+ years of Mainframe Infrastructure / Systems Programming experience. Strong hands-on experience with IBM z/OS . Experience with SMP/E, JCL, TSO/ISPF, and PARMLIB . Experience supporting large enterprise production mainframe environments. Strong troubleshooting and root-cause analysis skills. Experience supporting highly available, business-critical systems. Strong communication and technical documentation skills. Preferred Skills CICS, DB2, and/or IMS RACF, ACF2, or Top Secret VTAM / TCP/IP DFSMS / HSM Mainframe storage and capacity management ServiceNow and ITIL environments Banking or financial services experience Ideal Candidate The ideal candidate is a seasoned Mainframe Systems Programmer / Infrastructure Engineer with deep IBM z/OS experience. This is not primarily a COBOL development position . The focus is supporting the stability, maintenance, performance, troubleshooting, and lifecycle of a large-scale enterprise mainframe environment. Ideal Profiles / Target Talent z/OS Systems Programmer with 5+ years supporting enterprise mainframe environments. Mainframe Infrastructure Engineer with strong z/OS, SMP/E, JCL, TSO/ISPF, IPL, and systems troubleshooting experience. CICS / DB2 / IMS Systems Programmer with infrastructure and production support experience. Mainframe Security Engineer with RACF, ACF2, or Top Secret experience. Mainframe Storage Engineer with DFSMS, HSM, DASD, backup/recovery, and capacity management experience. Candidates coming from large banking or financial-services mainframe environments are highly preferred. Primary Sourcing Titles Mainframe Systems Programmer z/OS Systems Programmer Mainframe Infrastructure Engineer IBM Z Systems Engineer Mainframe Systems Engineer Senior Mainframe Engineer CICS Systems Programmer Mainframe Storage Engineer Sourcing Focus: Prioritize candidates with IBM z/OS infrastructure and systems programming experience rather than profiles primarily focused on COBOL application development.

Job Description About Carpe & the Role Carpe is an AI-native company building platforms and data products that help P&C insurance carriers make better decisions. At Carpe, we don't hand-write code anymore. We build with AI. As a Senior AI Software Engineer, you will turn business needs and prototypes into reliable production systems by directing frontier models and coding agents, shaping the environments they work in, and verifying what they deliver. AI is your primary way of building-not an autocomplete tool added to a traditional coding workflow. You bring extensive hands-on experience with frontier models, agents, and agent harnesses, plus the engineering judgment to take their work all the way through AWS deployment and production operation. You'll have a say in how we build. Our design and architecture patterns give you a solid starting point, not a set of limits. If a new approach or technology will better serve our customers, make the case. We care far more about how you think through tradeoffs than whether you've used every tool we use. Responsibilities Turn business needs into executable work. Partner with Product to define the problem, constraints, acceptance criteria, and customer outcome. Give agents the specifications, repository context, examples, and verification steps they need to deliver the right solution; resolve ambiguity before it becomes working software that solves the wrong problem. Architect systems and direct AI delivery. Break complex work into bounded tasks, choose interfaces and data flows, and direct agents through implementation, integration, and debugging. Use our approved patterns to address scale, latency, reliability, and data correctness across products. You own the architecture and outcome, even when AI produces the code. Build effective agent workflows and harnesses. Scope and steer bots through our team workflow, including Slack and Linear. Configure the context, tools, permissions, execution environments, and feedback loops around agents; manage handoffs, checkpoints, and recovery when they stall or go off course. Run a tight build-and-verify loop: the agent builds, you exercise the result in a live test environment, feed back precise findings, and repeat until the acceptance criteria are met. Choose models and approaches deliberately. Evaluate frontier models and coding agents on real engineering tasks, comparing output quality, reliability, context handling, latency, and cost. Match the model and harness to the work, and adapt as capabilities change. Let customer outcomes, not tool loyalty, guide decisions. Prove the result, not the agent's claim. Review architecture and generated changes at the level the risk demands; personally inspect sensitive changes. Use independent checks, representative data, automated tests, regression checks, and end-to-end behavior to catch plausible-but-wrong output. Where systems use models at runtime, evaluate their behavior and failure modes too. Ship and operate in AWS. Take AI-built software through cloud deployment and production support with QA and DevOps. Direct and verify infrastructure-as-code and CI/CD changes; understand access controls, secrets, networking, data storage, rollout, and rollback. Use logs, metrics, and traces to diagnose failures, verify recovery, and own incident follow-through-including failures introduced by agents. Make the next AI build better. Turn successful approaches and failures into reusable agent instructions, repository guidance, harness improvements, and verification routines. Keep architecture and operational context current so both people and agents can build on it. What we are looking for 7+ years of professional software engineering, delivering and supporting production systems (overall experience, not five years with today's AI tools). Extensive frontier-model experience. Substantial use of frontier models across multiple model families-for example, OpenAI, Anthropic Claude, and Google Gemini-in real software delivery. You can explain which models you choose for planning, implementation, debugging, and review; where they fail; and how you evaluate a new release. You actively experiment and clearly prefer building with AI over a hand-coding-first workflow. Extensive agent and harness experience . You have shipped meaningful work with coding agents and agent harnesses-not just chat prompts or autocomplete. Examples may include Claude Code, Codex, other agentic development environments, or custom harnesses. Extra credit for OpenClaw. You can configure repository instructions, context and tool access, isolated execution, task decomposition, verification, and recovery, and explain when orchestration helps versus adding overhead. End-to-end systems ownership. You have personally designed a complete system through professional or substantial independent work, with relevant professional experience around similar systems. Show how you directed AI from an initial specification through a working, deployed result, what you personally decided, and how you established that it worked. You don't need to have led a large-system initiative. Engineering depth behind the agents. Strong programming, debugging, architecture, and systems reasoning. You can read and interrogate generated code, trace data flows and service interactions, identify flawed assumptions, and steer a correction. We value your ability to make AI-built systems correct and maintainable-not the volume of code you type. AWS and cloud deployment experience. You have deployed and supported production software in AWS and understand the path from repository to running service: infrastructure as code, CI/CD, compute or containers, storage, networking, IAM, secrets, observability, and rollback. Explain a deployment or incident you owned and how you verified the outcome. Roll-up-your-sleeves, low-ego collaboration . Comfortable steering agents, investigating failures, explaining tradeoffs, and influencing without direct authority in a small. Share work and blockers openly, move across products, and help teammates improve their AI workflows while staying accountable for the customer outcome. Why Carpe? Your work shows up fast. At our size, what you build reaches customers quickly, and you quickly make an impact Growth: We have a clear growth framework with defined levels and competencies, so you always know what's expected and what "next" looks like. Collaboration: Work with teams in sales, marketing, engineering, product, and customer success. We Live our Values: Be Bold, Be Creative - Lead with Empathy - Act Like an Owner Flexible working hours and flexible vacation policy 100% Carpe-paid health, dental, and life insurance (Additional benefits at Employee cost) Full-time permanent positions are eligible for the Carpe Data Bonus Plan. 401k with company matching Location We are headquartered in Santa Barbara, CA. We work on a hybrid schedule: Tuesday/Wednesday/Thursday in the office. Salary Range $155,000 - 180,000. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate's skills, education, experience, and internal equity.

Pay Range: $75.64hr - $80.64hr Job Overview: The selected candidate must perform all tasks and complete the deliverables identified in the Statement of Work (SOW) to support enterprise Microsoft SQL Server and Azure SQL databases. SCOPE: The candidate will provide experienced Senior Database Administrator services to perform the following: Manage, monitor, maintain, and support enterprise Microsoft SQL Server and Azure SQL databases in production and non-production environments. Install, configure, patch, upgrade, and administer database platforms, instances, databases, storage, access, and security in accordance with organization standards. Perform performance monitoring and tuning, including query analysis, indexing, execution plan review, capacity planning, and resource allocation. Design, implement, test, maintain, backup, restore, high-availability, disaster recovery, and database integrity processes. Develop and maintain logical and physical data designs, database schemas, data dictionaries, stored procedures, views, functions, and related database objects. Design, develop, support, and troubleshoot data transformation and integration processes using SQL Server, Azure services, ETL/ELT tools, APIs, files, and other approved technologies. Support and troubleshoot Windows Services and scheduled processes that interact with databases, integrations, and enterprise applications. Collaborate with business and technical stakeholders to elicit, analyze, document, validate, and translate business requirements into database and data solutions. Ensure database availability, performance, security, integrity, accessibility, and compliance with organization policies and applicable regulatory standards. QUALIFICATION REQUIREMENTS FOR CONTRACTOR'S CANDIDATE CLIENT: The role requires an experienced Senior Database Administrator with the skills and experience listed below. This list is not exhaustive. Technical skills, written and verbal communication, and demonstrated experience will be the basis for evaluation. Minimum Qualifications: 5+ years of recent experience administering enterprise Microsoft SQL Server environments, including production and non-production systems of medium to high complexity. Hands-on experience administering Azure SQL Database, Azure SQL Managed Instance, or SQL Server hosted in Microsoft Azure. Demonstrated experience with database installation, configuration, patching, upgrades, security administration, monitoring, performance tuning, capacity planning, backup, recovery, and high availability. Strong experience with T-SQL, schema and physical database design, indexing, stored procedures, views, functions, execution plans, and query optimization. Experience designing and supporting data transformation and integration processes, including ETL/ELT, data mapping, validation, scheduling, and error handling. Experience supporting or troubleshooting Windows Services and scheduled processes that interact with Microsoft SQL Server, Azure SQL, Power BI, or enterprise applications. Preferred Experience: Experience with Azure services that support database, integration, monitoring, security, storage, automation, or data processing workloads. Experience eliciting, analyzing, documenting, and validating business and technical requirements with stakeholders. Experience supporting regulated or government environments and implementing role-based access, auditing, encryption, least privilege, and data protection practices. Familiarity with Azure DevOps, source control, deployment pipelines, Infrastructure as Code, PowerShell, or other database automation and release-management practices. Current Microsoft certifications relevant to Azure database administration, Azure data services, or SQL Server are preferred. EDUCATIONAL QUALIFICATIONS MEETING AT LEAST ONE OF THE FOLLOWING LEVELS: Bachelor's or master's degree in Computer Science, Information Systems, or related field; or equivalent work experience. Current Microsoft certifications relevant to Azure Database Administrator, Azure Data Engineer, Azure Solutions Architect, or related database technologies are preferred. RESPONSIBILITIES: Administer, maintain, monitor, and support enterprise Microsoft SQL Server and Azure SQL databases across development, test, staging, and production environments. Configure and maintain instances, databases, storage, access controls, service accounts, encryption, auditing, database mail, jobs, alerts, and monitoring. Plan, implement, test, and document backup, restore, high availability, disaster recovery, database integrity, and continuity procedures. Monitor and tune database performance through query analysis, execution plans, indexing, statistics, configuration, capacity planning, and resource optimization. Design and maintain logical and physical data models, schemas, data dictionaries, tables, views, stored procedures, functions, and related database objects. Design, build, maintain, and troubleshoot data transformation and integration processes, including ETL/ELT workflows, data mapping, validation, scheduling, and error handling. Support and troubleshoot Windows Services, scheduled tasks, and application components that depend on database connectivity, data processing, or integration services. Support approved Azure services and hybrid connectivity used by Azure SQL, SQL Server, data integration, monitoring, security, storage, and automation solutions. Elicit, analyze, document, validate, and translate business requirements into secure, supportable database and data solutions. Perform incident response, root-cause analysis, remediation, change implementation, and knowledge transfer for database-related issues. Create and maintain technical documentation, operational procedures, architecture diagrams, runbooks, and Standard Operating Procedures (SOPs). Attend project and operational meetings, provide regular status updates, and submit weekly project reports and time sheets. Coach, mentor, train, and provide knowledge transfer to staff and project teams. 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 Description Support, maintain, troubleshoot, and optimize IBM z/OS mainframe infrastructure . Perform z/OS systems programming, upgrades, maintenance, patching, and configuration. Support JCL, TSO/ISPF, SMP/E, PARMLIB, and Unix System Services . Troubleshoot complex mainframe system, performance, connectivity, and production issues. Support IPL processes, system availability, capacity, and performance monitoring . Partner with application, storage, network, security, database, and production support teams. Participate in incident, problem, change, and release management. Maintain technical documentation and operational procedures for the mainframe environment. Required Skills 5+ years of Mainframe Infrastructure / Systems Programming experience. Strong hands-on experience with IBM z/OS . Experience with SMP/E, JCL, TSO/ISPF, and PARMLIB . Experience supporting large enterprise production mainframe environments. Strong troubleshooting and root-cause analysis skills. Experience supporting highly available, business-critical systems. Strong communication and technical documentation skills. Preferred Skills CICS, DB2, and/or IMS RACF, ACF2, or Top Secret VTAM / TCP/IP DFSMS / HSM Mainframe storage and capacity management ServiceNow and ITIL environments Banking or financial services experience Ideal Candidate The ideal candidate is a seasoned Mainframe Systems Programmer / Infrastructure Engineer with deep IBM z/OS experience. This is not primarily a COBOL development position . The focus is supporting the stability, maintenance, performance, troubleshooting, and lifecycle of a large-scale enterprise mainframe environment. Ideal Profiles / Target Talent z/OS Systems Programmer with 5+ years supporting enterprise mainframe environments. Mainframe Infrastructure Engineer with strong z/OS, SMP/E, JCL, TSO/ISPF, IPL, and systems troubleshooting experience. CICS / DB2 / IMS Systems Programmer with infrastructure and production support experience. Mainframe Security Engineer with RACF, ACF2, or Top Secret experience. Mainframe Storage Engineer with DFSMS, HSM, DASD, backup/recovery, and capacity management experience. Candidates coming from large banking or financial-services mainframe environments are highly preferred. Primary Sourcing Titles Mainframe Systems Programmer z/OS Systems Programmer Mainframe Infrastructure Engineer IBM Z Systems Engineer Mainframe Systems Engineer Senior Mainframe Engineer CICS Systems Programmer Mainframe Storage Engineer Sourcing Focus: Prioritize candidates with IBM z/OS infrastructure and systems programming experience rather than profiles primarily focused on COBOL application development.

Pay Range: $82.12hr - $87.12hr Job Overview: The FEP Operations Center is seeking a senior or lead mainframe z/OS Systems Engineer to support the mainframe platform and environments and help in the maintenance, transformation, and modernization of the FEPOC mainframe technology stack. The focus will be on mainframe security (RACF, Encryption of data at rest and data in transit, CyberArk integration to RACF, and Vulnerability assessment and mitigation on mainframe). Tasks: Lead and participate in the analysis, design, development, and implementation of mainframe system engineering activities. Work with existing mainframe managed service provider to improve and optimize services to internal and external customers and improve resiliency and availability of the z/OS mainframe platform. Analyze and recommend improvements to the scalability and resiliency of applications and systems running on Z platform. Provide hands on technical support for incident assessment and resolution for restoration of service. Support problem Root Cause Analysis (RCA). Competencies: Solid leadership and hands on technical experience. SYSPLEX and ICF configuration and tuning. CyberArk integration with RACF. Mainframe pervasive encryption and key management process. Vanguard compliance manager. Data encryption of data in transit and data at rest for mainframe. Good project management and ability to provide technical guidance to diverse teams. Internal drive, intellectual curiosity, ability to learn, and desire to help the customers succeed. Strong technical skills as well as good business acumen. Comfortable working with all levels of the organization. Required Skills: Infrastructure engineer with a minimum of 8-10 years experience supporting IBM zOS Systems in a SYSPLEX environment with the following skills: RACF -Security Administration 5-10 years experience. ZOS Systems Programmer 5-10 years of experience. CICS TS Systems Programming 5 -10 years of experience. MQ 5-10 years Systems Programming. DB2 5-10 years usage , doesn't have to be at Systems Programming level. ISV Production installation experience. General Systems Automation support (IBM System Automation). General Batch Scheduling support Control-M. Strongly Desired Skills: SYSPLEX and ICF configuration and tuning. Experience in de-coupling Sysplex environment is a plus. Working knowledge of network communication protocols (TCPIP). Excellent knowledge of hardware infrastructure of IBM z16 and Dell/EMC storage subsystems. Pervasive encryption on z/OS. Ransomware solutioning for mainframe. 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 Description Support, maintain, troubleshoot, and optimize IBM z/OS mainframe infrastructure . Perform z/OS systems programming, upgrades, maintenance, patching, and configuration. Support JCL, TSO/ISPF, SMP/E, PARMLIB, and Unix System Services . Troubleshoot complex mainframe system, performance, connectivity, and production issues. Support IPL processes, system availability, capacity, and performance monitoring . Partner with application, storage, network, security, database, and production support teams. Participate in incident, problem, change, and release management. Maintain technical documentation and operational procedures for the mainframe environment. Required Skills 5+ years of Mainframe Infrastructure / Systems Programming experience. Strong hands-on experience with IBM z/OS . Experience with SMP/E, JCL, TSO/ISPF, and PARMLIB . Experience supporting large enterprise production mainframe environments. Strong troubleshooting and root-cause analysis skills. Experience supporting highly available, business-critical systems. Strong communication and technical documentation skills. Preferred Skills CICS, DB2, and/or IMS RACF, ACF2, or Top Secret VTAM / TCP/IP DFSMS / HSM Mainframe storage and capacity management ServiceNow and ITIL environments Banking or financial services experience Ideal Candidate The ideal candidate is a seasoned Mainframe Systems Programmer / Infrastructure Engineer with deep IBM z/OS experience. This is not primarily a COBOL development position . The focus is supporting the stability, maintenance, performance, troubleshooting, and lifecycle of a large-scale enterprise mainframe environment. Ideal Profiles / Target Talent z/OS Systems Programmer with 5+ years supporting enterprise mainframe environments. Mainframe Infrastructure Engineer with strong z/OS, SMP/E, JCL, TSO/ISPF, IPL, and systems troubleshooting experience. CICS / DB2 / IMS Systems Programmer with infrastructure and production support experience. Mainframe Security Engineer with RACF, ACF2, or Top Secret experience. Mainframe Storage Engineer with DFSMS, HSM, DASD, backup/recovery, and capacity management experience. Candidates coming from large banking or financial-services mainframe environments are highly preferred. Primary Sourcing Titles Mainframe Systems Programmer z/OS Systems Programmer Mainframe Infrastructure Engineer IBM Z Systems Engineer Mainframe Systems Engineer Senior Mainframe Engineer CICS Systems Programmer Mainframe Storage Engineer Sourcing Focus: Prioritize candidates with IBM z/OS infrastructure and systems programming experience rather than profiles primarily focused on COBOL application development.

Pay Range: $60.00hr - $65.00hr Job Overview: As an Engineer, the candidate is responsible for building, designing, and deploying modern web applications. The candidate will leverage technical skills to architect scalable and robust solutions, tackle dependencies, and shape the team's technical strategy. Our client is looking for a Senior AI Engineer with Java Full Stack Experience to join a learner-centered team committed to delivering a next-generation transformative AI-powered learning infrastructure. In this role, the candidate will influence the future of learning experiences by developing integrated and scalable solutions from the ground up within a supportive and collaborative environment. Responsibilities: Collaborate closely with subject matter experts to understand challenges and translate them into effective solution designs, partnering with Product, UX, and other engineering teams. Drive AI efforts including Gemini integrations, ML model fine-tuning, evaluation, and performance optimization to create user-facing solutions that are both scalable and high-performant. Drive cross-functional collaboration to prototype web solutions, gather feedback, and iteratively refine requirements. Develop, test, and monitor robust, scalable, and reliable web solutions that meet business needs. Leverage cloud solutions and tools to create seamlessly integrated, reusable, and extensible systems. Write and review technical documents (product, technical design, developer documentation) and code in Angular, TypeScript, Java, Kotlin, Python, or SQL. Build the organization's agentic future by implementing Gemini integrations, assisting with ML model fine-tuning, and executing AI performance evaluations to help develop intelligent, user-facing learning solutions. Design, build, and deploy full-stack web solutions that are reliable, scalable, and high-performant, using advanced technologies to build AI-powered learning flows. Minimum qualifications: Bachelor's degree or equivalent practical experience. 10+ years of experience with Software Development in Java Fullstack (Java, Angular). 2+ years of experience in AI Technologies. Generative AI & LLMs: Demonstrated track record of deploying Gemini models in production using Vertex AI and the Agent Development Kit (ADK). RAG Architecture: Proven expertise in designing RAG systems. Backend & Cloud Infrastructure: Strong proficiency in Python (FastAPI), Cloud Run, and large-scale data retrieval strategies. Data Structures & Storage: Experience with relational database architecture and enterprise data schema management. Experience working with one or more of the following: web or mobile application development, Unix/Linux environments, distributed and parallel systems, machine learning, information retrieval, natural language processing, networking, developing software systems, or security. Strong verbal and written communication skills with stakeholder management capabilities. Preferred qualifications: Demonstrated experience with service architecture, domain-driven design, and the development of scalable, distributed services. Demonstrated experience in the end-to-end design, scaling, and performance tuning of AI-integrated web applications within dynamic environments. Demonstrated experience running Kanban boards and sprints while forecasting effort for complex engineering projects. Demonstrated experience with ADK, MCP, and integrating Gemini AI APIs into production web applications. Demonstrated experience with ML model fine-tuning, evaluation, and performance optimization for user-facing systems. 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.

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.

Job Description Support, maintain, troubleshoot, and optimize IBM z/OS mainframe infrastructure . Perform z/OS systems programming, upgrades, maintenance, patching, and configuration. Support JCL, TSO/ISPF, SMP/E, PARMLIB, and Unix System Services . Troubleshoot complex mainframe system, performance, connectivity, and production issues. Support IPL processes, system availability, capacity, and performance monitoring . Partner with application, storage, network, security, database, and production support teams. Participate in incident, problem, change, and release management. Maintain technical documentation and operational procedures for the mainframe environment. Required Skills 5+ years of Mainframe Infrastructure / Systems Programming experience. Strong hands-on experience with IBM z/OS . Experience with SMP/E, JCL, TSO/ISPF, and PARMLIB . Experience supporting large enterprise production mainframe environments. Strong troubleshooting and root-cause analysis skills. Experience supporting highly available, business-critical systems. Strong communication and technical documentation skills. Preferred Skills CICS, DB2, and/or IMS RACF, ACF2, or Top Secret VTAM / TCP/IP DFSMS / HSM Mainframe storage and capacity management ServiceNow and ITIL environments Banking or financial services experience Ideal Candidate The ideal candidate is a seasoned Mainframe Systems Programmer / Infrastructure Engineer with deep IBM z/OS experience. This is not primarily a COBOL development position . The focus is supporting the stability, maintenance, performance, troubleshooting, and lifecycle of a large-scale enterprise mainframe environment. Ideal Profiles / Target Talent z/OS Systems Programmer with 5+ years supporting enterprise mainframe environments. Mainframe Infrastructure Engineer with strong z/OS, SMP/E, JCL, TSO/ISPF, IPL, and systems troubleshooting experience. CICS / DB2 / IMS Systems Programmer with infrastructure and production support experience. Mainframe Security Engineer with RACF, ACF2, or Top Secret experience. Mainframe Storage Engineer with DFSMS, HSM, DASD, backup/recovery, and capacity management experience. Candidates coming from large banking or financial-services mainframe environments are highly preferred. Primary Sourcing Titles Mainframe Systems Programmer z/OS Systems Programmer Mainframe Infrastructure Engineer IBM Z Systems Engineer Mainframe Systems Engineer Senior Mainframe Engineer CICS Systems Programmer Mainframe Storage Engineer Sourcing Focus: Prioritize candidates with IBM z/OS infrastructure and systems programming experience rather than profiles primarily focused on COBOL application development.

Job Description Support, maintain, troubleshoot, and optimize IBM z/OS mainframe infrastructure . Perform z/OS systems programming, upgrades, maintenance, patching, and configuration. Support JCL, TSO/ISPF, SMP/E, PARMLIB, and Unix System Services . Troubleshoot complex mainframe system, performance, connectivity, and production issues. Support IPL processes, system availability, capacity, and performance monitoring . Partner with application, storage, network, security, database, and production support teams. Participate in incident, problem, change, and release management. Maintain technical documentation and operational procedures for the mainframe environment. Required Skills 5+ years of Mainframe Infrastructure / Systems Programming experience. Strong hands-on experience with IBM z/OS . Experience with SMP/E, JCL, TSO/ISPF, and PARMLIB . Experience supporting large enterprise production mainframe environments. Strong troubleshooting and root-cause analysis skills. Experience supporting highly available, business-critical systems. Strong communication and technical documentation skills. Preferred Skills CICS, DB2, and/or IMS RACF, ACF2, or Top Secret VTAM / TCP/IP DFSMS / HSM Mainframe storage and capacity management ServiceNow and ITIL environments Banking or financial services experience Ideal Candidate The ideal candidate is a seasoned Mainframe Systems Programmer / Infrastructure Engineer with deep IBM z/OS experience. This is not primarily a COBOL development position . The focus is supporting the stability, maintenance, performance, troubleshooting, and lifecycle of a large-scale enterprise mainframe environment. Ideal Profiles / Target Talent z/OS Systems Programmer with 5+ years supporting enterprise mainframe environments. Mainframe Infrastructure Engineer with strong z/OS, SMP/E, JCL, TSO/ISPF, IPL, and systems troubleshooting experience. CICS / DB2 / IMS Systems Programmer with infrastructure and production support experience. Mainframe Security Engineer with RACF, ACF2, or Top Secret experience. Mainframe Storage Engineer with DFSMS, HSM, DASD, backup/recovery, and capacity management experience. Candidates coming from large banking or financial-services mainframe environments are highly preferred. Primary Sourcing Titles Mainframe Systems Programmer z/OS Systems Programmer Mainframe Infrastructure Engineer IBM Z Systems Engineer Mainframe Systems Engineer Senior Mainframe Engineer CICS Systems Programmer Mainframe Storage Engineer Sourcing Focus: Prioritize candidates with IBM z/OS infrastructure and systems programming experience rather than profiles primarily focused on COBOL application development.

Job Description Support, maintain, troubleshoot, and optimize IBM z/OS mainframe infrastructure . Perform z/OS systems programming, upgrades, maintenance, patching, and configuration. Support JCL, TSO/ISPF, SMP/E, PARMLIB, and Unix System Services . Troubleshoot complex mainframe system, performance, connectivity, and production issues. Support IPL processes, system availability, capacity, and performance monitoring . Partner with application, storage, network, security, database, and production support teams. Participate in incident, problem, change, and release management. Maintain technical documentation and operational procedures for the mainframe environment. Required Skills 5+ years of Mainframe Infrastructure / Systems Programming experience. Strong hands-on experience with IBM z/OS . Experience with SMP/E, JCL, TSO/ISPF, and PARMLIB . Experience supporting large enterprise production mainframe environments. Strong troubleshooting and root-cause analysis skills. Experience supporting highly available, business-critical systems. Strong communication and technical documentation skills. Preferred Skills CICS, DB2, and/or IMS RACF, ACF2, or Top Secret VTAM / TCP/IP DFSMS / HSM Mainframe storage and capacity management ServiceNow and ITIL environments Banking or financial services experience Ideal Candidate The ideal candidate is a seasoned Mainframe Systems Programmer / Infrastructure Engineer with deep IBM z/OS experience. This is not primarily a COBOL development position . The focus is supporting the stability, maintenance, performance, troubleshooting, and lifecycle of a large-scale enterprise mainframe environment. Ideal Profiles / Target Talent z/OS Systems Programmer with 5+ years supporting enterprise mainframe environments. Mainframe Infrastructure Engineer with strong z/OS, SMP/E, JCL, TSO/ISPF, IPL, and systems troubleshooting experience. CICS / DB2 / IMS Systems Programmer with infrastructure and production support experience. Mainframe Security Engineer with RACF, ACF2, or Top Secret experience. Mainframe Storage Engineer with DFSMS, HSM, DASD, backup/recovery, and capacity management experience. Candidates coming from large banking or financial-services mainframe environments are highly preferred. Primary Sourcing Titles Mainframe Systems Programmer z/OS Systems Programmer Mainframe Infrastructure Engineer IBM Z Systems Engineer Mainframe Systems Engineer Senior Mainframe Engineer CICS Systems Programmer Mainframe Storage Engineer Sourcing Focus: Prioritize candidates with IBM z/OS infrastructure and systems programming experience rather than profiles primarily focused on COBOL application development.