Medline
Northbrook, Illinois
Job Summary The Senior Systems Analyst is responsible for the platforms, integrations, and vendor relationships that keep material handling equipment (MHE) and warehouse automation systems running across our distribution network. This role sits on the IT side of the IT/OT boundary and is responsible for the servers, interfaces, monitoring, and support model beneath warehouse control and execution systems, serving as the primary escalation point to MHE vendors when a fault sits below the software line. Success in this role is measured by the availability of the platforms and integrations beneath our automation systems, and by how quickly automation issues are diagnosed and driven to resolution. When automation degrades, this person determines where the problem lives and mobilizes the right team or vendor to fix it. Job Description This role sits within Platform Services and partners closely with logistics operations, Operations Management (including site engineering and controls teams), application development, infrastructure, security, and external automation vendors. Scope boundary: This role is responsible for the IT platform layer - servers, operating systems, middleware, integrations, monitoring, and vendor support coordination. Physical equipment, PLC programming, and controls hardware remain owned by Operations Management. This role is accountable for driving resolution across that boundary, not for performing hardware or controls work. Key Responsibilities 1) MHE & Warehouse Automation Platform Support Maintain the availability, performance, and lifecycle of the server, OS, database, and middleware layers supporting warehouse control and execution systems (WCS/WES), sortation, conveyance, print-and-apply, scanning, and related automation platforms. Monitor and troubleshoot integrations between WMS, WCS/WES, host applications, and ERP - message flow, order release, wave and cartonization handoffs, label data, and scan-to-sort logic - where the majority of automation incidents originate. Partner with Operations Management to triage automation issues, isolate fault domains, and determine whether resolution sits with IT, Operations Management, or the vendor. Manage change for automation platforms under production constraints: patching and upgrade planning around shift schedules, peak freeze windows, and site downtime availability. Maintain and validate degraded-mode and fallback procedures so sites can continue operating when automation systems are unavailable. 2) MHE Vendor Management & Escalation Serve as the primary technical escalation point to MHE and automation vendors. Drive incidents to resolution rather than relaying tickets. Manage day-to-day vendor support relationships: escalation paths, named contacts, response commitments, and after-hours coverage. Track vendor performance against contracted SLAs, document gaps, and escalate persistent shortfalls to leadership. Track and govern software version currency, support entitlement expiration, end-of-life and end-of-support timelines, and patch/upgrade roadmaps across the automation vendor portfolio. Coordinate vendor remote access in line with security policy - provisioning, session governance, and audit trail. Supply technical requirements and input to contract renewals, statements of work, and support-model decisions led by leadership and sourcing; identify where vendor scope, our scope, and Operations Management scope have gaps or overlaps. Participate in vendor and site readiness activities for new automation deployments, expansions, and retrofits, including integration testing and cutover support. 3) Monitoring, Alerting & Observability Implement and maintain monitoring standards for automation systems that go beyond server health: throughput against plan, device and subsystem availability, controller heartbeat, fault and jam rates by zone, scan read rates, and print-and-apply failures. Build and improve dashboards that answer specific operational questions for site leadership and support teams, using platforms such as LogicMonitor, Splunk, and AppDynamics. Ensure every alert has a defined owner, calibrated threshold, escalation path, and runbook, and routes to a documented incident record - reducing noise and making response performance measurable. Develop collectors, integrations, or custom instrumentation where automation telemetry is not natively available to enterprise monitoring tooling. 4) Platform Operations & Environment Readiness Configure and manage the Windows, Linux, virtualization, and core infrastructure services underpinning WCS/WES and logistics applications. Prepare and validate environments for logistics application deployments and infrastructure changes across dev, test, and production, including readiness checks ahead of site-impacting changes. Maintain secure, consistent server environments aligned to IT security policy - certificate lifecycle, access control, and endpoint standards - with particular attention to systems accessed by vendors. 5) Incident Management & Continuous Improvement Respond to system anomalies, performance degradation, and vulnerability alerts; coordinate remediation across IT, site, and vendor teams. Conduct root-cause analysis on automation and platform incidents and drive corrective actions that reduce repeat occurrences. Analyze incident and alert trends across sites to identify systemic issues, chronic bad actors, and improvement opportunities. 6) Automation & Engineering Practices Develop and maintain scripts (PowerShell, Python, or Bash) that reduce manual operational work - automating health checks, configuration consistency across sites, degraded-mode and failover validation, and routine platform tasks. Apply infrastructure-as-code and CI/CD practices using tools such as Ansible or Terraform to build repeatable configuration patterns as automation platforms are deployed, upgraded, or expanded across sites. 7) AI-Enabled Operations Apply AI-driven capabilities within observability and monitoring tooling to reduce alert noise, improve anomaly detection, and speed triage. Use approved AI tooling to accelerate runbooks, post-incident summaries, knowledge base content, and stakeholder communication, with appropriate accuracy review and data handling. 8) Documentation & Knowledge Management Author and maintain system documentation, integration diagrams, support models, and vendor escalation matrices. Build and maintain runbooks that allow site support and on-call staff to resolve common automation issues without escalation. Working Conditions Participation in an on-call rotation supporting 24/7 distribution operations. No travel required; this role supports distribution sites remotely. Availability during peak season and change freeze periods, including occasional off-shift work aligned to site downtime windows. Required Qualifications Demonstrated experience supporting enterprise Windows and/or Linux systems and application platforms in a production environment with meaningful uptime expectations. Strong troubleshooting and root-cause analysis skills, including the ability to isolate faults across integrated systems and multiple support teams. Experience managing external technology vendors - escalation, support contracts, SLA accountability, and driving resolution of issues outside your direct control. Hands-on scripting experience with PowerShell, Python, or Bash. Experience implementing or operating monitoring and alerting solutions, including dashboards and log analysis. Experience supporting logistics, distribution, manufacturing, or another operations-driven environment where system downtime has immediate physical business impact. Preferred Qualifications Direct experience supporting warehouse automation or MHE systems - WCS/WES, sortation, conveyance, print-and-apply, AS/RS, robotics, or similar. Working knowledge of the OT side of automation: PLC concepts, industrial networking, device-level protocols, and how controls teams operate - enough to communicate credibly with controls engineers and vendor field service. Experience with WMS platforms and host-to-automation integration patterns. Familiarity with enterprise monitoring platforms such as LogicMonitor, Splunk, AppDynamics, or SolarWinds. Infrastructure-as-code experience with Ansible and/or Terraform. Experience supporting hybrid infrastructure or cloud transitions (Azure or similar). Security-minded administration experience, particularly third-party remote access governance. Core Competencies Ownership across boundaries: drives issues to resolution even when the fix sits with another team or an outside vendor. Vendor accountability: holds partners to their commitments without damaging the working relationship. Operational judgment under pressure: makes sound, fast decisions when production is stopped and stakeholders are waiting. Reliability mindset: identifies risk proactively and invests in prevention over repeat firefighting. Automation-first approach: reduces manual effort through scripting, tooling, and repeatable patterns. Documentation discipline: produces material others can actually use during an incident at 3am. Click here to learn more about a career in IT at Medline! Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization. The anticipated salary range for this position: $101,000.00 - $152,000.00 Annual The actual salary will vary based on applicant's location, education, experience, skills, and abilities. Medline will not pay less than the applicable minimum wage or salary threshold. Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average. For a more comprehensive list of our benefits please click here . click apply for full job details
Job Summary The Senior Systems Analyst is responsible for the platforms, integrations, and vendor relationships that keep material handling equipment (MHE) and warehouse automation systems running across our distribution network. This role sits on the IT side of the IT/OT boundary and is responsible for the servers, interfaces, monitoring, and support model beneath warehouse control and execution systems, serving as the primary escalation point to MHE vendors when a fault sits below the software line. Success in this role is measured by the availability of the platforms and integrations beneath our automation systems, and by how quickly automation issues are diagnosed and driven to resolution. When automation degrades, this person determines where the problem lives and mobilizes the right team or vendor to fix it. Job Description This role sits within Platform Services and partners closely with logistics operations, Operations Management (including site engineering and controls teams), application development, infrastructure, security, and external automation vendors. Scope boundary: This role is responsible for the IT platform layer - servers, operating systems, middleware, integrations, monitoring, and vendor support coordination. Physical equipment, PLC programming, and controls hardware remain owned by Operations Management. This role is accountable for driving resolution across that boundary, not for performing hardware or controls work. Key Responsibilities 1) MHE & Warehouse Automation Platform Support Maintain the availability, performance, and lifecycle of the server, OS, database, and middleware layers supporting warehouse control and execution systems (WCS/WES), sortation, conveyance, print-and-apply, scanning, and related automation platforms. Monitor and troubleshoot integrations between WMS, WCS/WES, host applications, and ERP - message flow, order release, wave and cartonization handoffs, label data, and scan-to-sort logic - where the majority of automation incidents originate. Partner with Operations Management to triage automation issues, isolate fault domains, and determine whether resolution sits with IT, Operations Management, or the vendor. Manage change for automation platforms under production constraints: patching and upgrade planning around shift schedules, peak freeze windows, and site downtime availability. Maintain and validate degraded-mode and fallback procedures so sites can continue operating when automation systems are unavailable. 2) MHE Vendor Management & Escalation Serve as the primary technical escalation point to MHE and automation vendors. Drive incidents to resolution rather than relaying tickets. Manage day-to-day vendor support relationships: escalation paths, named contacts, response commitments, and after-hours coverage. Track vendor performance against contracted SLAs, document gaps, and escalate persistent shortfalls to leadership. Track and govern software version currency, support entitlement expiration, end-of-life and end-of-support timelines, and patch/upgrade roadmaps across the automation vendor portfolio. Coordinate vendor remote access in line with security policy - provisioning, session governance, and audit trail. Supply technical requirements and input to contract renewals, statements of work, and support-model decisions led by leadership and sourcing; identify where vendor scope, our scope, and Operations Management scope have gaps or overlaps. Participate in vendor and site readiness activities for new automation deployments, expansions, and retrofits, including integration testing and cutover support. 3) Monitoring, Alerting & Observability Implement and maintain monitoring standards for automation systems that go beyond server health: throughput against plan, device and subsystem availability, controller heartbeat, fault and jam rates by zone, scan read rates, and print-and-apply failures. Build and improve dashboards that answer specific operational questions for site leadership and support teams, using platforms such as LogicMonitor, Splunk, and AppDynamics. Ensure every alert has a defined owner, calibrated threshold, escalation path, and runbook, and routes to a documented incident record - reducing noise and making response performance measurable. Develop collectors, integrations, or custom instrumentation where automation telemetry is not natively available to enterprise monitoring tooling. 4) Platform Operations & Environment Readiness Configure and manage the Windows, Linux, virtualization, and core infrastructure services underpinning WCS/WES and logistics applications. Prepare and validate environments for logistics application deployments and infrastructure changes across dev, test, and production, including readiness checks ahead of site-impacting changes. Maintain secure, consistent server environments aligned to IT security policy - certificate lifecycle, access control, and endpoint standards - with particular attention to systems accessed by vendors. 5) Incident Management & Continuous Improvement Respond to system anomalies, performance degradation, and vulnerability alerts; coordinate remediation across IT, site, and vendor teams. Conduct root-cause analysis on automation and platform incidents and drive corrective actions that reduce repeat occurrences. Analyze incident and alert trends across sites to identify systemic issues, chronic bad actors, and improvement opportunities. 6) Automation & Engineering Practices Develop and maintain scripts (PowerShell, Python, or Bash) that reduce manual operational work - automating health checks, configuration consistency across sites, degraded-mode and failover validation, and routine platform tasks. Apply infrastructure-as-code and CI/CD practices using tools such as Ansible or Terraform to build repeatable configuration patterns as automation platforms are deployed, upgraded, or expanded across sites. 7) AI-Enabled Operations Apply AI-driven capabilities within observability and monitoring tooling to reduce alert noise, improve anomaly detection, and speed triage. Use approved AI tooling to accelerate runbooks, post-incident summaries, knowledge base content, and stakeholder communication, with appropriate accuracy review and data handling. 8) Documentation & Knowledge Management Author and maintain system documentation, integration diagrams, support models, and vendor escalation matrices. Build and maintain runbooks that allow site support and on-call staff to resolve common automation issues without escalation. Working Conditions Participation in an on-call rotation supporting 24/7 distribution operations. No travel required; this role supports distribution sites remotely. Availability during peak season and change freeze periods, including occasional off-shift work aligned to site downtime windows. Required Qualifications Demonstrated experience supporting enterprise Windows and/or Linux systems and application platforms in a production environment with meaningful uptime expectations. Strong troubleshooting and root-cause analysis skills, including the ability to isolate faults across integrated systems and multiple support teams. Experience managing external technology vendors - escalation, support contracts, SLA accountability, and driving resolution of issues outside your direct control. Hands-on scripting experience with PowerShell, Python, or Bash. Experience implementing or operating monitoring and alerting solutions, including dashboards and log analysis. Experience supporting logistics, distribution, manufacturing, or another operations-driven environment where system downtime has immediate physical business impact. Preferred Qualifications Direct experience supporting warehouse automation or MHE systems - WCS/WES, sortation, conveyance, print-and-apply, AS/RS, robotics, or similar. Working knowledge of the OT side of automation: PLC concepts, industrial networking, device-level protocols, and how controls teams operate - enough to communicate credibly with controls engineers and vendor field service. Experience with WMS platforms and host-to-automation integration patterns. Familiarity with enterprise monitoring platforms such as LogicMonitor, Splunk, AppDynamics, or SolarWinds. Infrastructure-as-code experience with Ansible and/or Terraform. Experience supporting hybrid infrastructure or cloud transitions (Azure or similar). Security-minded administration experience, particularly third-party remote access governance. Core Competencies Ownership across boundaries: drives issues to resolution even when the fix sits with another team or an outside vendor. Vendor accountability: holds partners to their commitments without damaging the working relationship. Operational judgment under pressure: makes sound, fast decisions when production is stopped and stakeholders are waiting. Reliability mindset: identifies risk proactively and invests in prevention over repeat firefighting. Automation-first approach: reduces manual effort through scripting, tooling, and repeatable patterns. Documentation discipline: produces material others can actually use during an incident at 3am. Click here to learn more about a career in IT at Medline! Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization. The anticipated salary range for this position: $101,000.00 - $152,000.00 Annual The actual salary will vary based on applicant's location, education, experience, skills, and abilities. Medline will not pay less than the applicable minimum wage or salary threshold. Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average. For a more comprehensive list of our benefits please click here . click apply for full job details
USAA
Tampa, Florida
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity USAA Mainframe Infrastructure team is looking for Senior level Mainframe CICS Systems Programmer professional responsible for the installation, configuration, maintenance, and tuning of IBM's Customer Information Control System (CICS) on mainframe z/OS operating systems. At USAA, CICS is a middleware platform crucial for managing high-volume, online transaction processing. The core responsibilities of a Mainframe CICS Systems Programmer include: System Installation and Maintenance: Installing, configuring, upgrading, and maintaining CICS Transaction Server and related software. This involves applying vendor patches, fixes, and new product releases, often using tools like SMP/E. Performance and Capacity Management: Monitoring CICS system performance, identifying bottlenecks, and tuning CICS regions to meet service level agreements (SLAs). This may involve analyzing performance data using tools such as Intellimagic, RMF and BMC Mainview. Problem Resolution: Troubleshooting and debugging complex system and application issues, which can include analyzing system dumps and collaborating with application developers and software vendors for solutions. Developer Support: Providing technical support to application development teams, which includes setting up and managing CICS regions and defining necessary application resources. System Integration: Working with other z/OS systems programmers to integrate CICS with other mainframe subsystems, such as DB2 (database management) and MQ (messaging). Security and Disaster Recovery: Implementing and maintaining CICS security protocols (e.g., using RACF) and assisting in the planning, testing, and execution of disaster recovery procedures. Automation: Developing and implementing automation scripts (e.g., using REXX) to streamline system management and improve efficiency. This role requires a strong understanding of CICS architecture, z/OS operating systems, and related mainframe technologies. Proficiency in programming languages like COBOL, JCL, and REXX, along with experience in mainframe tools and utilities, is essential. The work environment is typically dynamic and may require after-hours or on-call support to maintain the availability of mission-critical applications. Responsible for creating, modifying, maintaining and supporting infrastructure and individual and integrated system components and solutions that enable IT Services. Balance availability, security, efficiency and functional requirements to help provide an optimized production service. Identify and manage existing and emerging risks that stem from business activities and ensure these risks are effectively identified and escalated to be measured, monitored and controlled. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Charlotte, NC, Phoenix, AZ, or Tampa, FL. Relocation assistance is IS available for this position. What you'll do: Independently designs scalable IT system infrastructure, provides oversight and priority for system change - reserves execution for complex implementations, and automates service delivery and maintenance tasks; provides direction and priority for monitoring and tooling activities. Independently resolves highly complex technology production issues and leads troubleshooting of end-to-end solutions that span across multiple systems. Leads analysis of end-to-end system failures to identify opportunities across multiple systems. Makes recommendations to business leaders on best solutions. Independently experiments with new patterns and technologies. Helps establish and improve engineering best practices, concepts, and patterns with peers and the business. Understands the customer and proactively identifies innovative solutions and ideas for the product/business. Mentors' engineers, coach engineers on design, development, and maintenance of systems. Develop software defined infrastructure in code in CI/CD Pipelines. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's Degree or 4 additional years of experience beyond the minimum requirement can be used in lieu of a degree. 6 years of infrastructure experience demonstrating depth of technical understanding within a specific discipline(s)/technology(s) to include 2 years' experience in Systems Operations environment supporting complex environment deployment and infrastructure management activities or applicable IT experience such as IT Management, Software Development, Data Engineering, and Agile Product/Release Management. 4 years of experience in creating, modifying, and maintaining infrastructure and individual system components. Advanced level of business acumen in the areas of business operations, risk management, industry practices and emerging trends. Knowledge and proficient understanding of designing scalable IT system infrastructures, implementing system changes, or automating service delivery and maintenance tasks. Demonstrated experience working with cloud technologies and tools. What sets you apart: Extensive CICS Experience: Typically, 7-10+ years of hands-on experience as a CICS Systems Programmer in a z/OS mainframe environment. This includes deep knowledge of CICS Transaction Server (TS), CTG, and CPSM architecture, internals, and system exits. Installation and Maintenance Proficiency: Strong expertise in CICS installation, configuration, and maintenance, often including complex Independent Software Vendor (ISV) installations and upgrades. Scripting and Programming Languages: Proficient in JCL, REXX, and other mainframe scripting languages. Familiarity with COBOL, Assembler, and PL/I is also beneficial. SMP/E Proficiency: Experience with SMP/E (System Modification Program/Extended) for installing and maintaining software. z/OS Expertise: In-depth knowledge of z/OS operating systems, including configuration, maintenance, and tuning. Performance Tuning and Monitoring: Experience with CICS performance tuning and the use of monitoring tools (e.g., RMF, Intellimagic, BMC Mainview). z/OS Subsystems: Understanding of other z/OS subsystems such as DB2, MQ, JES2, z/OS connect, IMS and TCP/IP. Security: Experience with CICS security, often using RACF or equivalent tools. Automation and Scheduling: Familiarity with automation tools, job scheduling, and monitoring tools. Disaster Recovery: Experience with disaster recovery planning and testing. Mainframe Hardware: Understanding of mainframe hardware and architecture to optimize system performance. IBM Certified Specialist - CICS Transaction Server for z/OS: This certification is desired. Compensation range: The salary range for this position is: $114,080-$218,030. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity USAA Mainframe Infrastructure team is looking for Senior level Mainframe CICS Systems Programmer professional responsible for the installation, configuration, maintenance, and tuning of IBM's Customer Information Control System (CICS) on mainframe z/OS operating systems. At USAA, CICS is a middleware platform crucial for managing high-volume, online transaction processing. The core responsibilities of a Mainframe CICS Systems Programmer include: System Installation and Maintenance: Installing, configuring, upgrading, and maintaining CICS Transaction Server and related software. This involves applying vendor patches, fixes, and new product releases, often using tools like SMP/E. Performance and Capacity Management: Monitoring CICS system performance, identifying bottlenecks, and tuning CICS regions to meet service level agreements (SLAs). This may involve analyzing performance data using tools such as Intellimagic, RMF and BMC Mainview. Problem Resolution: Troubleshooting and debugging complex system and application issues, which can include analyzing system dumps and collaborating with application developers and software vendors for solutions. Developer Support: Providing technical support to application development teams, which includes setting up and managing CICS regions and defining necessary application resources. System Integration: Working with other z/OS systems programmers to integrate CICS with other mainframe subsystems, such as DB2 (database management) and MQ (messaging). Security and Disaster Recovery: Implementing and maintaining CICS security protocols (e.g., using RACF) and assisting in the planning, testing, and execution of disaster recovery procedures. Automation: Developing and implementing automation scripts (e.g., using REXX) to streamline system management and improve efficiency. This role requires a strong understanding of CICS architecture, z/OS operating systems, and related mainframe technologies. Proficiency in programming languages like COBOL, JCL, and REXX, along with experience in mainframe tools and utilities, is essential. The work environment is typically dynamic and may require after-hours or on-call support to maintain the availability of mission-critical applications. Responsible for creating, modifying, maintaining and supporting infrastructure and individual and integrated system components and solutions that enable IT Services. Balance availability, security, efficiency and functional requirements to help provide an optimized production service. Identify and manage existing and emerging risks that stem from business activities and ensure these risks are effectively identified and escalated to be measured, monitored and controlled. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Charlotte, NC, Phoenix, AZ, or Tampa, FL. Relocation assistance is IS available for this position. What you'll do: Independently designs scalable IT system infrastructure, provides oversight and priority for system change - reserves execution for complex implementations, and automates service delivery and maintenance tasks; provides direction and priority for monitoring and tooling activities. Independently resolves highly complex technology production issues and leads troubleshooting of end-to-end solutions that span across multiple systems. Leads analysis of end-to-end system failures to identify opportunities across multiple systems. Makes recommendations to business leaders on best solutions. Independently experiments with new patterns and technologies. Helps establish and improve engineering best practices, concepts, and patterns with peers and the business. Understands the customer and proactively identifies innovative solutions and ideas for the product/business. Mentors' engineers, coach engineers on design, development, and maintenance of systems. Develop software defined infrastructure in code in CI/CD Pipelines. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's Degree or 4 additional years of experience beyond the minimum requirement can be used in lieu of a degree. 6 years of infrastructure experience demonstrating depth of technical understanding within a specific discipline(s)/technology(s) to include 2 years' experience in Systems Operations environment supporting complex environment deployment and infrastructure management activities or applicable IT experience such as IT Management, Software Development, Data Engineering, and Agile Product/Release Management. 4 years of experience in creating, modifying, and maintaining infrastructure and individual system components. Advanced level of business acumen in the areas of business operations, risk management, industry practices and emerging trends. Knowledge and proficient understanding of designing scalable IT system infrastructures, implementing system changes, or automating service delivery and maintenance tasks. Demonstrated experience working with cloud technologies and tools. What sets you apart: Extensive CICS Experience: Typically, 7-10+ years of hands-on experience as a CICS Systems Programmer in a z/OS mainframe environment. This includes deep knowledge of CICS Transaction Server (TS), CTG, and CPSM architecture, internals, and system exits. Installation and Maintenance Proficiency: Strong expertise in CICS installation, configuration, and maintenance, often including complex Independent Software Vendor (ISV) installations and upgrades. Scripting and Programming Languages: Proficient in JCL, REXX, and other mainframe scripting languages. Familiarity with COBOL, Assembler, and PL/I is also beneficial. SMP/E Proficiency: Experience with SMP/E (System Modification Program/Extended) for installing and maintaining software. z/OS Expertise: In-depth knowledge of z/OS operating systems, including configuration, maintenance, and tuning. Performance Tuning and Monitoring: Experience with CICS performance tuning and the use of monitoring tools (e.g., RMF, Intellimagic, BMC Mainview). z/OS Subsystems: Understanding of other z/OS subsystems such as DB2, MQ, JES2, z/OS connect, IMS and TCP/IP. Security: Experience with CICS security, often using RACF or equivalent tools. Automation and Scheduling: Familiarity with automation tools, job scheduling, and monitoring tools. Disaster Recovery: Experience with disaster recovery planning and testing. Mainframe Hardware: Understanding of mainframe hardware and architecture to optimize system performance. IBM Certified Specialist - CICS Transaction Server for z/OS: This certification is desired. Compensation range: The salary range for this position is: $114,080-$218,030. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
ATI
Woburn, Massachusetts
Job Description Job Description About ATI: Automated Tire (ATI) is a Series-B startup revolutionizing automotive service with innovative robotic and software technology. Founded by experienced entrepreneurs and backed by major players in the automotive and tire sectors, ATI is building the next generation of tools that make tire shops and dealership service lanes faster, safer, and smarter. If you're passionate about building products that ship into real-world environments, ATI is the place for you. Position Overview: BrakeWise is our production brake inspection product: a mobile application paired with a camera probe that technicians use to assess pad and rotor condition during live service work. The machine learning behind it is a multi-stage pipeline of segmentation and classification models that turn raw imagery into a wear assessment a shop can act on and charge for. That pipeline works, and it is an MVP. It runs on Cloud Functions, and it will not carry us to the customer volume we're signing. We're looking for a Staff MLOps Engineer to own it - to take it from a working prototype to a serving architecture that holds up under real throughput, with the latency, cost, and reliability characteristics a paying customer expects. You'll own every aspect of how our models reach production and how they get better: serving infrastructure, deployment and rollback, monitoring and drift detection, the retraining loop, and the evaluation discipline that tells us whether a new model is actually an improvement. Model accuracy here has commercial consequences - a bad wear call is either a missed repair or an unnecessary one, in front of a customer. This is also the senior cloud architecture voice on the team. You'll partner closely with our Staff Full Stack Engineer, who owns the mobile app and customer dashboard, reviewing designs and setting GCP practices across the platform rather than only within the ML stack. Responsibilities: Own the multi-stage inference pipeline (segmentors and classifiers) end to end - serving architecture, latency, throughput, reliability, and cost per inspection Re-architect the pipeline off its current Cloud Functions MVP onto infrastructure that scales: containerized inference, GPU-backed or accelerated serving where it pays for itself, queueing, batching, and autoscaling Own model deployment: versioning, staged rollout, canary and shadow evaluation, and fast rollback when a model regresses Build and own the improvement loop - field data collection, labeling workflows, dataset versioning, evaluation harnesses, and regression suites that catch quality loss before customers do Monitor model quality in production: drift detection, segmented performance analysis, and triage of real-world failures against real inspection imagery Define the metrics that matter commercially - false-positive and false-negative rates on a wear call, technician override rate, unit inference cost - and report against them Improve model performance directly: architecture selection, augmentation, hard-example mining, and quantization or distillation where latency and cost demand it Evaluate on-device versus cloud inference trade-offs for the mobile app, and own whichever path we choose Establish MLOps foundations: reproducible training, experiment tracking, CI/CD for models, and infrastructure as code Serve as the cloud architecture counterpart to the Staff Full Stack Engineer - reviewing designs, setting GCP best practices, and raising the platform's infrastructure bar Work with hardware and field operations on capture quality - lighting, focus, and probe positioning - since upstream image quality sets the ceiling on model performance Own production support for the ML stack, including incident response and on-call participation for inference availability Proactively identify technical risks and architectural trade-offs, and communicate them clearly to leadership Requirements 8+ years of professional engineering experience, including several years owning machine learning systems in production - not solely model development Demonstrated experience taking a computer vision pipeline from prototype to production scale, serving real users at meaningful volume Deep experience deploying and operating segmentation and classification models, including multi-stage pipelines where one model's output feeds the next Strong cloud infrastructure background, preferably GCP - Vertex AI, Cloud Run, GKE, Cloud Functions, Cloud SQL, Pub/Sub, and Docker Production-grade Python, and fluency with PyTorch or TensorFlow Hands-on experience with model serving and optimization - Triton, TorchServe, ONNX, TensorRT, quantization, or equivalent Experience owning deployment and support for a live system, including incident response, rollback, and on-call Experience building data and labeling pipelines with dataset versioning and reproducible evaluation Comfort with infrastructure as code (e.g., Terraform) and CI/CD automation (e.g., GitHub Actions) Sound judgment on the accuracy, latency, and cost trade-offs that determine whether an ML product is viable Excellent problem-solving, debugging, and communication skills, including with non-technical stakeholders Preferred Qualifications: On-device or edge inference experience (Core ML, TensorFlow Lite, ExecuTorch) and integration into mobile applications Active learning or human-in-the-loop labeling systems Computer vision on small, long-tail, or industrial inspection datasets rather than large public benchmarks Experience with camera and sensor integration, or working alongside hardware teams on capture quality Experience with robotics, IoT, or edge computing (ROS or similar platforms) Familiarity with automotive service, dealership operations, or DMS ecosystems Contributions to open-source projects Why Join ATI: Be part of a groundbreaking startup transforming automotive service technology Work with a team of industry veterans and top-tier robotics and software talent Own the ML platform for a product that already has paying customers - your architecture decisions set the scaling ceiling Our customers are our investors, so you'll develop and test in real service lane environments A genuine data advantage: proprietary inspection imagery from real shops that no public dataset can replicate Clear Total Addressable Market with strong pull from B2B partners Competitive salary and comprehensive benefits package Prime location in Woburn, MA with on-site parking Collaborative, low-ego, high-intensity work environment
Job Description Job Description About ATI: Automated Tire (ATI) is a Series-B startup revolutionizing automotive service with innovative robotic and software technology. Founded by experienced entrepreneurs and backed by major players in the automotive and tire sectors, ATI is building the next generation of tools that make tire shops and dealership service lanes faster, safer, and smarter. If you're passionate about building products that ship into real-world environments, ATI is the place for you. Position Overview: BrakeWise is our production brake inspection product: a mobile application paired with a camera probe that technicians use to assess pad and rotor condition during live service work. The machine learning behind it is a multi-stage pipeline of segmentation and classification models that turn raw imagery into a wear assessment a shop can act on and charge for. That pipeline works, and it is an MVP. It runs on Cloud Functions, and it will not carry us to the customer volume we're signing. We're looking for a Staff MLOps Engineer to own it - to take it from a working prototype to a serving architecture that holds up under real throughput, with the latency, cost, and reliability characteristics a paying customer expects. You'll own every aspect of how our models reach production and how they get better: serving infrastructure, deployment and rollback, monitoring and drift detection, the retraining loop, and the evaluation discipline that tells us whether a new model is actually an improvement. Model accuracy here has commercial consequences - a bad wear call is either a missed repair or an unnecessary one, in front of a customer. This is also the senior cloud architecture voice on the team. You'll partner closely with our Staff Full Stack Engineer, who owns the mobile app and customer dashboard, reviewing designs and setting GCP practices across the platform rather than only within the ML stack. Responsibilities: Own the multi-stage inference pipeline (segmentors and classifiers) end to end - serving architecture, latency, throughput, reliability, and cost per inspection Re-architect the pipeline off its current Cloud Functions MVP onto infrastructure that scales: containerized inference, GPU-backed or accelerated serving where it pays for itself, queueing, batching, and autoscaling Own model deployment: versioning, staged rollout, canary and shadow evaluation, and fast rollback when a model regresses Build and own the improvement loop - field data collection, labeling workflows, dataset versioning, evaluation harnesses, and regression suites that catch quality loss before customers do Monitor model quality in production: drift detection, segmented performance analysis, and triage of real-world failures against real inspection imagery Define the metrics that matter commercially - false-positive and false-negative rates on a wear call, technician override rate, unit inference cost - and report against them Improve model performance directly: architecture selection, augmentation, hard-example mining, and quantization or distillation where latency and cost demand it Evaluate on-device versus cloud inference trade-offs for the mobile app, and own whichever path we choose Establish MLOps foundations: reproducible training, experiment tracking, CI/CD for models, and infrastructure as code Serve as the cloud architecture counterpart to the Staff Full Stack Engineer - reviewing designs, setting GCP best practices, and raising the platform's infrastructure bar Work with hardware and field operations on capture quality - lighting, focus, and probe positioning - since upstream image quality sets the ceiling on model performance Own production support for the ML stack, including incident response and on-call participation for inference availability Proactively identify technical risks and architectural trade-offs, and communicate them clearly to leadership Requirements 8+ years of professional engineering experience, including several years owning machine learning systems in production - not solely model development Demonstrated experience taking a computer vision pipeline from prototype to production scale, serving real users at meaningful volume Deep experience deploying and operating segmentation and classification models, including multi-stage pipelines where one model's output feeds the next Strong cloud infrastructure background, preferably GCP - Vertex AI, Cloud Run, GKE, Cloud Functions, Cloud SQL, Pub/Sub, and Docker Production-grade Python, and fluency with PyTorch or TensorFlow Hands-on experience with model serving and optimization - Triton, TorchServe, ONNX, TensorRT, quantization, or equivalent Experience owning deployment and support for a live system, including incident response, rollback, and on-call Experience building data and labeling pipelines with dataset versioning and reproducible evaluation Comfort with infrastructure as code (e.g., Terraform) and CI/CD automation (e.g., GitHub Actions) Sound judgment on the accuracy, latency, and cost trade-offs that determine whether an ML product is viable Excellent problem-solving, debugging, and communication skills, including with non-technical stakeholders Preferred Qualifications: On-device or edge inference experience (Core ML, TensorFlow Lite, ExecuTorch) and integration into mobile applications Active learning or human-in-the-loop labeling systems Computer vision on small, long-tail, or industrial inspection datasets rather than large public benchmarks Experience with camera and sensor integration, or working alongside hardware teams on capture quality Experience with robotics, IoT, or edge computing (ROS or similar platforms) Familiarity with automotive service, dealership operations, or DMS ecosystems Contributions to open-source projects Why Join ATI: Be part of a groundbreaking startup transforming automotive service technology Work with a team of industry veterans and top-tier robotics and software talent Own the ML platform for a product that already has paying customers - your architecture decisions set the scaling ceiling Our customers are our investors, so you'll develop and test in real service lane environments A genuine data advantage: proprietary inspection imagery from real shops that no public dataset can replicate Clear Total Addressable Market with strong pull from B2B partners Competitive salary and comprehensive benefits package Prime location in Woburn, MA with on-site parking Collaborative, low-ego, high-intensity work environment