Job Description Senior Application Support Engineer Location: New York, United States Employment Type: Full-time Industry: Financial Services / FinTech Reports to: Head of Engineering (UK) and Head of US Office About the Role We're seeking an experienced Senior Application Support Engineer to help maintain the stability, reliability, and business continuity of a mission-critical financial technology platform. As the primary technical contact in our US office, you'll work closely with Application Support, Engineering, Product, and Operations teams while sharing support coverage with colleagues in the UK. Our platform runs on Google Cloud Platform (GCP) and connects applications supporting trading, clearing, settlement, books and records, and operational processing. What You'll Do Own production incidents from investigation through resolution, prioritizing business impact, coordinating incident calls, and working with internal teams and external providers. Troubleshoot application and integration failures across services, FIX connections, APIs, and file-based feeds, including reconciliation breaks and processing exceptions. Apply safe mitigations and controlled remediation, assessing downstream impacts before restarting services, replaying messages, or reprocessing files. Monitor production applications, integrations, and scheduled jobs, including critical market-hours, start-of-day, and end-of-day processing. Provide technical support to local teams and participate in client and partner discussions as needed. Maintain technical documentation, runbooks, incident records, and clear handovers across time zones. Support software releases and integration testing, including readiness checks, post-deployment validation, and recovery scenarios. Improve monitoring, alerting, and automation to reduce recurring production issues. Support audit and compliance requests involving application behavior, data flows, and operational controls. What You'll Bring 8+ years of experience in application support, production support, or technical operations supporting live systems. Experience supporting business-critical, interconnected applications, such as trading platforms or payment systems, where availability, accuracy, and timely processing are essential. Previous experience in financial services, investment management, or investment advisory environments. Demonstrated ability to independently diagnose and resolve complex production incidents under pressure. Strong communication and collaboration skills, including working with technical and non-technical stakeholders during incidents. Experience sharing support responsibilities across geographically distributed teams and time zones. Required Technical Skills SQL: Strong proficiency in investigating data issues, validating system state, and supporting controlled remediation. Google Cloud Platform: Hands-on experience supporting cloud-hosted applications using Logs Explorer, Trace, and monitoring platforms such as Datadog. FIX Protocol: Practical knowledge of FIX sessions and order/execution messages, including sequence gaps, rejects, reconnects, and recovery procedures. Distributed Systems: Ability to troubleshoot applications, APIs, messaging systems, and file-based integrations, including delayed, missing, duplicated, or out-of-order processing. Networking and Security: Working knowledge of authentication, networking, and secure file transfer protocols. Scripting: Ability to write scripts to automate operational checks and streamline investigations; Python preferred. Release Management: Understanding of production access controls, change management, deployment environments, release validation, and rollback procedures. Preferred Qualifications Familiarity with investment platforms, brokerage environments, or self-clearing broker-dealer operations. Knowledge of financial instruments, including equities, bonds, and mutual funds. Experience supporting applications integrated with clearing and settlement infrastructure, including DTCC. Experience with Order Management Systems (OMS) and books and records platforms. Knowledge of client onboarding, Know Your Customer (KYC), and Anti-Money Laundering (AML) operations. Experience supporting regulatory reporting processes. Familiarity with GCP infrastructure and containerization technologies, including Compute Engine virtual machines, Managed Instance Groups (MIGs), Cloud Run, Pub/Sub, and Docker. What Success Looks Like You're a hands-on support professional who takes ownership of complex incidents and brings sound judgment, attention to detail, and clear communication to critical situations. You combine technical troubleshooting skills with an understanding of financial services operations and proactively improve production stability and operational efficiency.
11/14/2026
Full time
Job Description Senior Application Support Engineer Location: New York, United States Employment Type: Full-time Industry: Financial Services / FinTech Reports to: Head of Engineering (UK) and Head of US Office About the Role We're seeking an experienced Senior Application Support Engineer to help maintain the stability, reliability, and business continuity of a mission-critical financial technology platform. As the primary technical contact in our US office, you'll work closely with Application Support, Engineering, Product, and Operations teams while sharing support coverage with colleagues in the UK. Our platform runs on Google Cloud Platform (GCP) and connects applications supporting trading, clearing, settlement, books and records, and operational processing. What You'll Do Own production incidents from investigation through resolution, prioritizing business impact, coordinating incident calls, and working with internal teams and external providers. Troubleshoot application and integration failures across services, FIX connections, APIs, and file-based feeds, including reconciliation breaks and processing exceptions. Apply safe mitigations and controlled remediation, assessing downstream impacts before restarting services, replaying messages, or reprocessing files. Monitor production applications, integrations, and scheduled jobs, including critical market-hours, start-of-day, and end-of-day processing. Provide technical support to local teams and participate in client and partner discussions as needed. Maintain technical documentation, runbooks, incident records, and clear handovers across time zones. Support software releases and integration testing, including readiness checks, post-deployment validation, and recovery scenarios. Improve monitoring, alerting, and automation to reduce recurring production issues. Support audit and compliance requests involving application behavior, data flows, and operational controls. What You'll Bring 8+ years of experience in application support, production support, or technical operations supporting live systems. Experience supporting business-critical, interconnected applications, such as trading platforms or payment systems, where availability, accuracy, and timely processing are essential. Previous experience in financial services, investment management, or investment advisory environments. Demonstrated ability to independently diagnose and resolve complex production incidents under pressure. Strong communication and collaboration skills, including working with technical and non-technical stakeholders during incidents. Experience sharing support responsibilities across geographically distributed teams and time zones. Required Technical Skills SQL: Strong proficiency in investigating data issues, validating system state, and supporting controlled remediation. Google Cloud Platform: Hands-on experience supporting cloud-hosted applications using Logs Explorer, Trace, and monitoring platforms such as Datadog. FIX Protocol: Practical knowledge of FIX sessions and order/execution messages, including sequence gaps, rejects, reconnects, and recovery procedures. Distributed Systems: Ability to troubleshoot applications, APIs, messaging systems, and file-based integrations, including delayed, missing, duplicated, or out-of-order processing. Networking and Security: Working knowledge of authentication, networking, and secure file transfer protocols. Scripting: Ability to write scripts to automate operational checks and streamline investigations; Python preferred. Release Management: Understanding of production access controls, change management, deployment environments, release validation, and rollback procedures. Preferred Qualifications Familiarity with investment platforms, brokerage environments, or self-clearing broker-dealer operations. Knowledge of financial instruments, including equities, bonds, and mutual funds. Experience supporting applications integrated with clearing and settlement infrastructure, including DTCC. Experience with Order Management Systems (OMS) and books and records platforms. Knowledge of client onboarding, Know Your Customer (KYC), and Anti-Money Laundering (AML) operations. Experience supporting regulatory reporting processes. Familiarity with GCP infrastructure and containerization technologies, including Compute Engine virtual machines, Managed Instance Groups (MIGs), Cloud Run, Pub/Sub, and Docker. What Success Looks Like You're a hands-on support professional who takes ownership of complex incidents and brings sound judgment, attention to detail, and clear communication to critical situations. You combine technical troubleshooting skills with an understanding of financial services operations and proactively improve production stability and operational efficiency.
Job Description Job Description Description: Position Summary Richmond, VA (primary) Hybrid role with travel as needed based on business needs. Rise Power Systems is seeking a Senior Applications Engineer to support customer opportunities and technical execution for mission-critical power distribution products. This role is intended for an experienced engineer who can independently own RFQ and specification review, product selection and configuration, technical quote development, customer and vendor coordination, and engineering handoff with limited oversight. Benefits: Rise Power Systems offers a generous benefits package to include the following: Medical, Dental, Vision, Life Insurance, Short Term Disability, Supplemental Insurance Options, Pet Insurance 401k with company match PTO and Paid Holidays Key Responsibilities Independently review customer RFQs, specifications, one-line diagrams, drawings, and technical requirements for data center and critical power applications. Select and configure appropriate low-voltage power distribution solutions, including RPPs, HDRPPs, PDUs, switchboards, panelboards, transformers, breakers, monitoring systems, and related equipment. Develop complete technical quote packages, including configurations, options, clarifications, exclusions, assumptions, and required commercial inputs. Identify specification gaps, technical risks, missing information, and customer requirements that require clarification before quotation or execution. Provide technical guidance to customers and Sales during opportunity development, including product application, configuration, and solution discussions. Coordinate with vendors and suppliers to obtain pricing, lead times, technical data, documentation, and application support. Coordinate with Engineering, Purchasing, Operations, Project Management, and Sales to ensure accurate technical handoff and execution of customer requirements. Improve application engineering tools and processes, including costing tools, quote templates, standard options, configuration tools, documentation, and best practices. Requirements: Required Qualifications 5+ years of relevant experience in applications engineering, sales engineering, product engineering, estimating, or technical proposal development; exceptionally strong direct industry experience may be considered with somewhat less overall tenure. Direct experience with data center, mission-critical, electrical manufacturing, or low-voltage power distribution equipment. Working knowledge of RPPs, HDRPPs, PDUs, switchboards, panelboards, breakers, transformers, monitoring systems, and related electrical infrastructure. Demonstrated ability to read and interpret customer specifications, one-line diagrams, electrical drawings, and technical requirements. Strong understanding of electrical power distribution concepts, including voltage, current, breaker selection, short-circuit ratings, grounding, monitoring, and coordination considerations. Experience independently developing technical quotations, proposal packages, customer submittals, or engineered-to-order product solutions. Strong customer-facing and cross-functional communication skills, with the judgment to work effectively with Sales, Engineering, Purchasing, Operations, vendors, and customers. Ability to work independently in a fast-moving environment with limited supervision, strong attention to detail, and clear ownership and accountability. Preferred Experience Experience with hyperscale, colocation, or enterprise data center customers; UL 891 switchboards, UL 67 panelboards, UL 508A controls, or similar standards; product configurators, costing or CPQ tools; Modbus, Ethernet, branch circuit monitoring, power meters, SCADA integration, or remote monitoring; and SolidWorks or similar 3D CAD software is a plus. A bachelor's degree in Electrical Engineering, Electrical Engineering Technology, or a related technical field is preferred; equivalent industry experience may be considered PI9f33c19c5fae-1861
11/14/2026
Full time
Job Description Job Description Description: Position Summary Richmond, VA (primary) Hybrid role with travel as needed based on business needs. Rise Power Systems is seeking a Senior Applications Engineer to support customer opportunities and technical execution for mission-critical power distribution products. This role is intended for an experienced engineer who can independently own RFQ and specification review, product selection and configuration, technical quote development, customer and vendor coordination, and engineering handoff with limited oversight. Benefits: Rise Power Systems offers a generous benefits package to include the following: Medical, Dental, Vision, Life Insurance, Short Term Disability, Supplemental Insurance Options, Pet Insurance 401k with company match PTO and Paid Holidays Key Responsibilities Independently review customer RFQs, specifications, one-line diagrams, drawings, and technical requirements for data center and critical power applications. Select and configure appropriate low-voltage power distribution solutions, including RPPs, HDRPPs, PDUs, switchboards, panelboards, transformers, breakers, monitoring systems, and related equipment. Develop complete technical quote packages, including configurations, options, clarifications, exclusions, assumptions, and required commercial inputs. Identify specification gaps, technical risks, missing information, and customer requirements that require clarification before quotation or execution. Provide technical guidance to customers and Sales during opportunity development, including product application, configuration, and solution discussions. Coordinate with vendors and suppliers to obtain pricing, lead times, technical data, documentation, and application support. Coordinate with Engineering, Purchasing, Operations, Project Management, and Sales to ensure accurate technical handoff and execution of customer requirements. Improve application engineering tools and processes, including costing tools, quote templates, standard options, configuration tools, documentation, and best practices. Requirements: Required Qualifications 5+ years of relevant experience in applications engineering, sales engineering, product engineering, estimating, or technical proposal development; exceptionally strong direct industry experience may be considered with somewhat less overall tenure. Direct experience with data center, mission-critical, electrical manufacturing, or low-voltage power distribution equipment. Working knowledge of RPPs, HDRPPs, PDUs, switchboards, panelboards, breakers, transformers, monitoring systems, and related electrical infrastructure. Demonstrated ability to read and interpret customer specifications, one-line diagrams, electrical drawings, and technical requirements. Strong understanding of electrical power distribution concepts, including voltage, current, breaker selection, short-circuit ratings, grounding, monitoring, and coordination considerations. Experience independently developing technical quotations, proposal packages, customer submittals, or engineered-to-order product solutions. Strong customer-facing and cross-functional communication skills, with the judgment to work effectively with Sales, Engineering, Purchasing, Operations, vendors, and customers. Ability to work independently in a fast-moving environment with limited supervision, strong attention to detail, and clear ownership and accountability. Preferred Experience Experience with hyperscale, colocation, or enterprise data center customers; UL 891 switchboards, UL 67 panelboards, UL 508A controls, or similar standards; product configurators, costing or CPQ tools; Modbus, Ethernet, branch circuit monitoring, power meters, SCADA integration, or remote monitoring; and SolidWorks or similar 3D CAD software is a plus. A bachelor's degree in Electrical Engineering, Electrical Engineering Technology, or a related technical field is preferred; equivalent industry experience may be considered PI9f33c19c5fae-1861
Job Description Senior Data Engineer - PySpark & Databricks Location: Charlotte, North Carolina (Hybrid) Need only locals Experience: 10+ Years Job Type: Contract Job Summary We are seeking an experienced Senior Data Engineer with strong hands-on expertise in PySpark, Databricks, Python, and SQL to design, develop, and maintain scalable data engineering solutions. The ideal candidate will have extensive experience building data pipelines, processing large datasets, developing ETL/ELT workflows, and optimizing data processing performance. The candidate must possess strong programming and problem-solving skills, with the ability to write clean, efficient, and production-ready code. Key Responsibilities Design, develop, and maintain scalable data pipelines using PySpark and Databricks. Write, test, debug, and optimize Python, PySpark, and SQL code. Build and maintain ETL/ELT processes for structured and unstructured data. Develop data transformations and workflows to process large volumes of data. Work with Databricks notebooks, Delta Lake, and Spark-based data processing frameworks. Optimize Spark jobs, troubleshoot performance issues, and improve pipeline efficiency. Implement data quality checks, validation, error handling, and monitoring. Integrate data from multiple sources, including databases, APIs, cloud storage, and enterprise systems. Collaborate with data architects, analysts, and business stakeholders to deliver reliable data solutions. Follow coding standards, version control practices, testing procedures, and CI/CD processes. Required Skills 10+ years of experience in data engineering or related software/data development roles. Strong hands-on experience with Python and PySpark . Practical experience developing data solutions using Databricks . Strong SQL skills, including complex queries, joins, aggregations, and query optimization. Experience building and maintaining ETL/ELT data pipelines. Knowledge of Apache Spark architecture, distributed processing, and performance tuning. Experience with Delta Lake and lakehouse architecture. Strong coding, debugging, troubleshooting, and problem-solving skills. Experience with Git and software development best practices. Familiarity with cloud platforms such as AWS, Azure, or GCP. Strong communication and collaboration skills. Preferred Qualifications Experience with Azure Databricks, AWS Databricks, or another cloud-based data platform. Knowledge of data warehousing, dimensional modeling, and data lake architecture. Experience with orchestration tools such as Airflow, Azure Data Factory, or Databricks Workflows. Familiarity with CI/CD, automated testing, and deployment practices. Experience working in Agile development environments.
11/14/2026
Full time
Job Description Senior Data Engineer - PySpark & Databricks Location: Charlotte, North Carolina (Hybrid) Need only locals Experience: 10+ Years Job Type: Contract Job Summary We are seeking an experienced Senior Data Engineer with strong hands-on expertise in PySpark, Databricks, Python, and SQL to design, develop, and maintain scalable data engineering solutions. The ideal candidate will have extensive experience building data pipelines, processing large datasets, developing ETL/ELT workflows, and optimizing data processing performance. The candidate must possess strong programming and problem-solving skills, with the ability to write clean, efficient, and production-ready code. Key Responsibilities Design, develop, and maintain scalable data pipelines using PySpark and Databricks. Write, test, debug, and optimize Python, PySpark, and SQL code. Build and maintain ETL/ELT processes for structured and unstructured data. Develop data transformations and workflows to process large volumes of data. Work with Databricks notebooks, Delta Lake, and Spark-based data processing frameworks. Optimize Spark jobs, troubleshoot performance issues, and improve pipeline efficiency. Implement data quality checks, validation, error handling, and monitoring. Integrate data from multiple sources, including databases, APIs, cloud storage, and enterprise systems. Collaborate with data architects, analysts, and business stakeholders to deliver reliable data solutions. Follow coding standards, version control practices, testing procedures, and CI/CD processes. Required Skills 10+ years of experience in data engineering or related software/data development roles. Strong hands-on experience with Python and PySpark . Practical experience developing data solutions using Databricks . Strong SQL skills, including complex queries, joins, aggregations, and query optimization. Experience building and maintaining ETL/ELT data pipelines. Knowledge of Apache Spark architecture, distributed processing, and performance tuning. Experience with Delta Lake and lakehouse architecture. Strong coding, debugging, troubleshooting, and problem-solving skills. Experience with Git and software development best practices. Familiarity with cloud platforms such as AWS, Azure, or GCP. Strong communication and collaboration skills. Preferred Qualifications Experience with Azure Databricks, AWS Databricks, or another cloud-based data platform. Knowledge of data warehousing, dimensional modeling, and data lake architecture. Experience with orchestration tools such as Airflow, Azure Data Factory, or Databricks Workflows. Familiarity with CI/CD, automated testing, and deployment practices. Experience working in Agile development environments.
Job Description Senior Network Engineer - Cloud & Infrastructure Overview Yoh is seeking a Senior Network Engineer to support a mission-critical enterprise and development infrastructure environment. This role will design, deploy, maintain, and secure network systems across data centers, on-premises locations, remote offices, and public cloud environments. The ideal candidate will have strong experience with routing, switching, firewalls, hybrid cloud connectivity, network automation, and enterprise security infrastructure. Location: San Mateo or surrounding San Francisco Bay Area Job Type: Contract Work Arrangement: Hybrid/onsite, as required Estimated Compensation: $80-$95/hour, depending on experience Responsibilities Network Engineering Design, architect, deploy, and maintain routing, switching, WLAN, and firewall infrastructure across data centers, corporate offices, remote sites, and cloud environments. Support public cloud networking in AWS and Azure, including secure connectivity solutions such as ExpressRoute, Transit Gateway, Cloud WAN, and Azure Virtual WAN. Deploy and manage WAN and VPN connectivity to ensure secure and reliable access for enterprise and mission-critical environments. Develop and apply network automation to streamline provisioning, monitoring, configuration management, and operational processes. Partner with cloud, platform, security, and infrastructure teams to develop standardized network architectures. Recommend and implement scalable, automated approaches to network operations and vulnerability remediation. Participate in Agile delivery cycles while managing assigned network projects and deliverables. Conduct network capacity planning and provide recommendations for growth, resiliency, and optimization. Operations and Support Plan and execute network and firewall changes in accordance with change-management and security-governance procedures. Monitor, analyze, and improve network performance, availability, resiliency, and security. Provide advanced troubleshooting for network hardware, software, connectivity, and application-related issues. Configure and maintain secure connectivity services, including VPN, ZTNA, HTTPS, and SFTP. Create and maintain accurate operational, configuration, and network documentation. Mentor operational teams on network processes, procedures, and troubleshooting practices. Engage vendors and strategic partners for escalated troubleshooting, lifecycle planning, and technology evaluations. Participate in an on-call rotation and scheduled maintenance activities. Maintenance and Security Lead or support network upgrades, patching, and maintenance activities within defined maintenance windows. Maintain network device software, hardware, and license compliance. Identify and remediate network security vulnerabilities in coordination with IT security teams. Support network segmentation, access control, firewall policy enforcement, and secure connectivity initiatives. Required Qualifications Six or more years of experience supporting and administering complex network systems in production environments. Strong expertise in network routing, switching, and security architecture. Experience with at least one network operating system, such as NX-OS, JunOS, or Arista EOS. Experience with at least one network security operating system, such as PAN-OS or FortiOS. Experience with network automation and infrastructure-as-code practices using tools such as Terraform, Ansible, or Python. Strong understanding of firewall management, network segmentation, VPN technologies, and secure remote access. Experience building and managing scalable hybrid infrastructure connectivity between on-premises systems and cloud networks. Excellent analytical, organizational, communication, and troubleshooting skills. Ability to communicate effectively with both technical and non-technical stakeholders. Proven ability to work independently and deliver results in a structured, process-driven environment. Bachelor's degree in a technical discipline, or six or more years of relevant experience combined with a professional certification such as CCNP, JNCIS, VCP-NV, or equivalent. Preferred Qualifications Experience with Juniper and Palo Alto networking solutions. Familiarity with centralized firewall-management platforms, including Panorama. Experience with WLAN technologies and wireless authentication, including 802.1X and RADIUS. Experience with network-access control solutions and network-access policy enforcement. Experience with ZTNA or SASE solutions, such as Prisma Access, Zscaler, or Cato. Working knowledge of virtualization or operating-system administration, including VMware, Windows, or Linux. Demonstrated project-management and technical leadership experience. Ability to coach peers and present technical information to non-technical stakeholders. Collaborative, solution-oriented approach in a fast-paced, change-controlled environment. Additional Requirements Must be able to work in the San Francisco Bay Area and report onsite as required. Must be comfortable participating in scheduled maintenance activities and an on-call rotation. Must comply with all applicable workplace, security, confidentiality, and access requirements. Employment is contingent upon successful completion of a background check conducted after a conditional offer, in accordance with applicable federal, state, and local law. Estimated Min Rate : $66.50 Estimated Max Rate : $95.00 What's In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh's network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh's extensive talent community that will provide you with access to Yoh's vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week) Health Savings Account (HSA) (for employees working 20+ hours per week) Life & Disability Insurance (for employees working 20+ hours per week) MetLife Voluntary Benefits Employee Assistance Program (EAP) 401K Retirement Savings Plan Direct Deposit & weekly epayroll Referral Bonus Programs Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, 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. Visit -with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh's hiring clients' preferences. To learn more about Yoh's privacy practices, please see our Candidate Privacy Notice: -notice Stay Safe During Your Job Search Fraudulent recruiting communications have become increasingly common. Emails from Yoh recruiters will only come from email address. Yoh will never ask candidates to pay fees, purchase equipment, send gift cards, or transfer funds as part of the recruiting or hiring process. If you receive a communication that appears suspicious or requests payment, contact Yoh directly before responding or sharing personal information.
11/14/2026
Full time
Job Description Senior Network Engineer - Cloud & Infrastructure Overview Yoh is seeking a Senior Network Engineer to support a mission-critical enterprise and development infrastructure environment. This role will design, deploy, maintain, and secure network systems across data centers, on-premises locations, remote offices, and public cloud environments. The ideal candidate will have strong experience with routing, switching, firewalls, hybrid cloud connectivity, network automation, and enterprise security infrastructure. Location: San Mateo or surrounding San Francisco Bay Area Job Type: Contract Work Arrangement: Hybrid/onsite, as required Estimated Compensation: $80-$95/hour, depending on experience Responsibilities Network Engineering Design, architect, deploy, and maintain routing, switching, WLAN, and firewall infrastructure across data centers, corporate offices, remote sites, and cloud environments. Support public cloud networking in AWS and Azure, including secure connectivity solutions such as ExpressRoute, Transit Gateway, Cloud WAN, and Azure Virtual WAN. Deploy and manage WAN and VPN connectivity to ensure secure and reliable access for enterprise and mission-critical environments. Develop and apply network automation to streamline provisioning, monitoring, configuration management, and operational processes. Partner with cloud, platform, security, and infrastructure teams to develop standardized network architectures. Recommend and implement scalable, automated approaches to network operations and vulnerability remediation. Participate in Agile delivery cycles while managing assigned network projects and deliverables. Conduct network capacity planning and provide recommendations for growth, resiliency, and optimization. Operations and Support Plan and execute network and firewall changes in accordance with change-management and security-governance procedures. Monitor, analyze, and improve network performance, availability, resiliency, and security. Provide advanced troubleshooting for network hardware, software, connectivity, and application-related issues. Configure and maintain secure connectivity services, including VPN, ZTNA, HTTPS, and SFTP. Create and maintain accurate operational, configuration, and network documentation. Mentor operational teams on network processes, procedures, and troubleshooting practices. Engage vendors and strategic partners for escalated troubleshooting, lifecycle planning, and technology evaluations. Participate in an on-call rotation and scheduled maintenance activities. Maintenance and Security Lead or support network upgrades, patching, and maintenance activities within defined maintenance windows. Maintain network device software, hardware, and license compliance. Identify and remediate network security vulnerabilities in coordination with IT security teams. Support network segmentation, access control, firewall policy enforcement, and secure connectivity initiatives. Required Qualifications Six or more years of experience supporting and administering complex network systems in production environments. Strong expertise in network routing, switching, and security architecture. Experience with at least one network operating system, such as NX-OS, JunOS, or Arista EOS. Experience with at least one network security operating system, such as PAN-OS or FortiOS. Experience with network automation and infrastructure-as-code practices using tools such as Terraform, Ansible, or Python. Strong understanding of firewall management, network segmentation, VPN technologies, and secure remote access. Experience building and managing scalable hybrid infrastructure connectivity between on-premises systems and cloud networks. Excellent analytical, organizational, communication, and troubleshooting skills. Ability to communicate effectively with both technical and non-technical stakeholders. Proven ability to work independently and deliver results in a structured, process-driven environment. Bachelor's degree in a technical discipline, or six or more years of relevant experience combined with a professional certification such as CCNP, JNCIS, VCP-NV, or equivalent. Preferred Qualifications Experience with Juniper and Palo Alto networking solutions. Familiarity with centralized firewall-management platforms, including Panorama. Experience with WLAN technologies and wireless authentication, including 802.1X and RADIUS. Experience with network-access control solutions and network-access policy enforcement. Experience with ZTNA or SASE solutions, such as Prisma Access, Zscaler, or Cato. Working knowledge of virtualization or operating-system administration, including VMware, Windows, or Linux. Demonstrated project-management and technical leadership experience. Ability to coach peers and present technical information to non-technical stakeholders. Collaborative, solution-oriented approach in a fast-paced, change-controlled environment. Additional Requirements Must be able to work in the San Francisco Bay Area and report onsite as required. Must be comfortable participating in scheduled maintenance activities and an on-call rotation. Must comply with all applicable workplace, security, confidentiality, and access requirements. Employment is contingent upon successful completion of a background check conducted after a conditional offer, in accordance with applicable federal, state, and local law. Estimated Min Rate : $66.50 Estimated Max Rate : $95.00 What's In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh's network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh's extensive talent community that will provide you with access to Yoh's vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week) Health Savings Account (HSA) (for employees working 20+ hours per week) Life & Disability Insurance (for employees working 20+ hours per week) MetLife Voluntary Benefits Employee Assistance Program (EAP) 401K Retirement Savings Plan Direct Deposit & weekly epayroll Referral Bonus Programs Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, 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. Visit -with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh's hiring clients' preferences. To learn more about Yoh's privacy practices, please see our Candidate Privacy Notice: -notice Stay Safe During Your Job Search Fraudulent recruiting communications have become increasingly common. Emails from Yoh recruiters will only come from email address. Yoh will never ask candidates to pay fees, purchase equipment, send gift cards, or transfer funds as part of the recruiting or hiring process. If you receive a communication that appears suspicious or requests payment, contact Yoh directly before responding or sharing personal information.
Job Description Overall Responsibilities: The Network Engineer overall role is to apply their expertise in network analysis, deployments, and troubleshooting client's problems. Duties include all phases of the project lifecycle, documentation, implementation, project management and support. Strong written and verbal communication skills are necessary. This role is generally responsible for providing on-going technical support, problem-solving via tickets and phone as needed, training and documentation as necessary. Work both independently and with the team, and clients as necessary. Duties: Must have excellent customer service skills, strong problem solving and troubleshooting skills, ability to perform work independently and/or in a team environment and must be highly motivated and eager to work in a fast-paced environment. Must be comfortable interacting with clients via phone, e-mail, in person, etc. Working knowledge across a Cisco LAN/WAN infrastructure. Knowledge of ASA, VPN, VoIP and security. Performs moderate to highly complex software/hardware troubleshooting, patches and re-installations in cooperation with the Company's clients and in accordance with established industry standards; Provides escalated technical support that requires an on-site presence (server, network or PC equipment failure), including data backup recovery; Serves as one of the IT points of contact and accountable for the IT portion of new office setups, office expansions, etc. This includes relocation and/or installation of voice/data communications solutions, LAN, PC equipment, Sysco services/equipment; Responsible for monitoring data backups in offices to ensure that they are completed on a regular basis; Programming and/or coding computer software for Company's clientele; Creation/updating of configuration templates and or documentation for solid, repeatable builds and deployments as 'best practices'; Solve daily issues as they arise Core Technical Skills: Hardware troubleshooting Routing & Switching Cisco & Meraki CLI familiarity Cisco and Windows Troubleshooting Network and Windows Understands how VoIP works (SIP, RTP basics) Cisco wireless experience Wi-Fi troubleshooting (AP placement, signal issues) Phone provisioning and troubleshooting Familiarity with systems like: Cisco IP Phones Cisco Unified Communications Manager Qualifications: 8+ years of experience in Network Engineering Prefer B.S. in Computer Science, Computer Engineering, Electrical Engineering or a similar field, or equivalent education plus experience Prefer certifications equivalent to Cisco Certified Internetwork Professional (CCIP), Juniper Networks Certified Internet Professional (JNCIP). VMware VCP credential, familiarity with Virtualization technologies Knowledge of Cisco wireless including wireless controllers. Knowledge of VMware infrastructure, virtualization, cloud infrastructure. CCNA level engineer preferred. Travel: Travel is primarily local during the business day, although some out-of-the-area and overnight travel may be expected. This position requires travel to client sites as needed. Some of the travel may be international. Desired Education and Experience: B.S. in business/technical or equivalent in education and experience. Benefits: 401(k) 401(k) matching Dental insurance Employee assistance program Health insurance Life insurance Paid time off Referral program Retirement plan Tuition reimbursement Vision insurance Work Location: In person
11/14/2026
Full time
Job Description Overall Responsibilities: The Network Engineer overall role is to apply their expertise in network analysis, deployments, and troubleshooting client's problems. Duties include all phases of the project lifecycle, documentation, implementation, project management and support. Strong written and verbal communication skills are necessary. This role is generally responsible for providing on-going technical support, problem-solving via tickets and phone as needed, training and documentation as necessary. Work both independently and with the team, and clients as necessary. Duties: Must have excellent customer service skills, strong problem solving and troubleshooting skills, ability to perform work independently and/or in a team environment and must be highly motivated and eager to work in a fast-paced environment. Must be comfortable interacting with clients via phone, e-mail, in person, etc. Working knowledge across a Cisco LAN/WAN infrastructure. Knowledge of ASA, VPN, VoIP and security. Performs moderate to highly complex software/hardware troubleshooting, patches and re-installations in cooperation with the Company's clients and in accordance with established industry standards; Provides escalated technical support that requires an on-site presence (server, network or PC equipment failure), including data backup recovery; Serves as one of the IT points of contact and accountable for the IT portion of new office setups, office expansions, etc. This includes relocation and/or installation of voice/data communications solutions, LAN, PC equipment, Sysco services/equipment; Responsible for monitoring data backups in offices to ensure that they are completed on a regular basis; Programming and/or coding computer software for Company's clientele; Creation/updating of configuration templates and or documentation for solid, repeatable builds and deployments as 'best practices'; Solve daily issues as they arise Core Technical Skills: Hardware troubleshooting Routing & Switching Cisco & Meraki CLI familiarity Cisco and Windows Troubleshooting Network and Windows Understands how VoIP works (SIP, RTP basics) Cisco wireless experience Wi-Fi troubleshooting (AP placement, signal issues) Phone provisioning and troubleshooting Familiarity with systems like: Cisco IP Phones Cisco Unified Communications Manager Qualifications: 8+ years of experience in Network Engineering Prefer B.S. in Computer Science, Computer Engineering, Electrical Engineering or a similar field, or equivalent education plus experience Prefer certifications equivalent to Cisco Certified Internetwork Professional (CCIP), Juniper Networks Certified Internet Professional (JNCIP). VMware VCP credential, familiarity with Virtualization technologies Knowledge of Cisco wireless including wireless controllers. Knowledge of VMware infrastructure, virtualization, cloud infrastructure. CCNA level engineer preferred. Travel: Travel is primarily local during the business day, although some out-of-the-area and overnight travel may be expected. This position requires travel to client sites as needed. Some of the travel may be international. Desired Education and Experience: B.S. in business/technical or equivalent in education and experience. Benefits: 401(k) 401(k) matching Dental insurance Employee assistance program Health insurance Life insurance Paid time off Referral program Retirement plan Tuition reimbursement Vision insurance Work Location: In person
Job Description At CHAMP, we are redefining the technology used by Motor Vehicle Agencies and their stakeholders. We do so with innovative, cloud-based software that enhances efficiency, security, and interoperability. Our solutions replace outdated processes with modern, scalable platforms, enabling organizations to operate with greater speed and accuracy in an increasingly digital world. Technical Integration Lead Location : Cleveland (Onsite - 4 days in office) Department : Software Engineering Reports To : Product Engineering Travel: 25% Sponsorship: This position is not eligible for Visa Sponsorship Relocation: This position is not eligible for Relocation Your Impact As a Technical Integration Lead you will work with clients to build out the integrations needed to deploy CHAMP products into new and existing states. This is a highly collaborative role with your state integration team, internal CHAMP teams, and external clients. What You'll Do Lead technical discovery with client stakeholders, from engineers to executives, to understand their systems, constraints and goals. Explain our platform, APIs and integration options. Account for state-by-state differences in client requirements, regulations and workflows. Turn client conversations into clear, buildable requirements, API contracts and integration designs. Design integration services that sit between client systems and our global and core products. Review designs and implementation plans to confirm they meet the client's actual need. Required Qualifications 8+ years in software engineering, including time at a senior engineer level or above. Hands-on experience designing and building RESTful APIs. Familiarity with event-driven or message-based integration is a plus. Strong system design skills, including microservices architecture, service boundaries, versioning and backward compatibility. Experience integrating with third-party or client-owned systems you don't control. Ability to read code, review designs and hold technical conversations with developers and client architects. Understanding of security, authentication and data-handling concerns in multi-tenant or multi-jurisdiction products. Experience working directly with external clients or partners Clear written and verbal communication with both technical and non-technical audiences. Preferred Qualifications Prior experience as a solutions architect, integration architect, technical account manager, or client-facing technical lead. Experience with products serving government, public-sector, education or other state-regulated clients. Perks + Benefits Competitive Salary Annual Bonus Potential Health, Dental & Vision Insurance Unlimited PTO Policy Matching 401K with immediate vesting Subsidized Lunches at our Cleveland Headquarters Fast Paced work environment in a growth company Newly Renovated Office Space Salary Range The expected salary range for this position is $175,000 - $200,000 annually. This is a good faith estimate, and final compensation may vary based on experience, skills, and geographic location. We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants of all backgrounds, including veterans and individuals with disabilities. If you need accommodations during the application or interview process, please let us know. We're here to help. By joining CHAMP Titles , you will be an integral member of our team with many opportunities for personal growth and upward mobility in a growing organization. We have a great culture that is flexible, collaborative and welcoming.
11/14/2026
Full time
Job Description At CHAMP, we are redefining the technology used by Motor Vehicle Agencies and their stakeholders. We do so with innovative, cloud-based software that enhances efficiency, security, and interoperability. Our solutions replace outdated processes with modern, scalable platforms, enabling organizations to operate with greater speed and accuracy in an increasingly digital world. Technical Integration Lead Location : Cleveland (Onsite - 4 days in office) Department : Software Engineering Reports To : Product Engineering Travel: 25% Sponsorship: This position is not eligible for Visa Sponsorship Relocation: This position is not eligible for Relocation Your Impact As a Technical Integration Lead you will work with clients to build out the integrations needed to deploy CHAMP products into new and existing states. This is a highly collaborative role with your state integration team, internal CHAMP teams, and external clients. What You'll Do Lead technical discovery with client stakeholders, from engineers to executives, to understand their systems, constraints and goals. Explain our platform, APIs and integration options. Account for state-by-state differences in client requirements, regulations and workflows. Turn client conversations into clear, buildable requirements, API contracts and integration designs. Design integration services that sit between client systems and our global and core products. Review designs and implementation plans to confirm they meet the client's actual need. Required Qualifications 8+ years in software engineering, including time at a senior engineer level or above. Hands-on experience designing and building RESTful APIs. Familiarity with event-driven or message-based integration is a plus. Strong system design skills, including microservices architecture, service boundaries, versioning and backward compatibility. Experience integrating with third-party or client-owned systems you don't control. Ability to read code, review designs and hold technical conversations with developers and client architects. Understanding of security, authentication and data-handling concerns in multi-tenant or multi-jurisdiction products. Experience working directly with external clients or partners Clear written and verbal communication with both technical and non-technical audiences. Preferred Qualifications Prior experience as a solutions architect, integration architect, technical account manager, or client-facing technical lead. Experience with products serving government, public-sector, education or other state-regulated clients. Perks + Benefits Competitive Salary Annual Bonus Potential Health, Dental & Vision Insurance Unlimited PTO Policy Matching 401K with immediate vesting Subsidized Lunches at our Cleveland Headquarters Fast Paced work environment in a growth company Newly Renovated Office Space Salary Range The expected salary range for this position is $175,000 - $200,000 annually. This is a good faith estimate, and final compensation may vary based on experience, skills, and geographic location. We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants of all backgrounds, including veterans and individuals with disabilities. If you need accommodations during the application or interview process, please let us know. We're here to help. By joining CHAMP Titles , you will be an integral member of our team with many opportunities for personal growth and upward mobility in a growing organization. We have a great culture that is flexible, collaborative and welcoming.
Job Description Senior Technical Project Manager / Program Manager (Legacy Modernization) Department: Enterprise Application Modernization / Program Management Office (PMO) Project: Mainframe Case Management to Salesforce) Dedicated Tool Stack: Salesforce (Service Cloud / Case Management) Informatica Automic (Atomic) Scheduler MuleSoft Relational Databases (SQL) Mainframe Location: Phoenix, Arizona Position Overview We are seeking a high-caliber Senior Technical Project Manager / Program Owner to serve as the single point of leadership ("Commander-in-Chief") for the modernization of our legacy mainframe case management system, Mainframe , into Salesforce . This role blends executive program management, financial stewardship, product ownership, and hands-on technical fluency. You will own the program budget, drive vendor/resource allocations, steer executive stakeholders, and publish transparent weekly reporting. Critically, you must possess the technical acumen to understand and triage architectural roadblocks across our modernization stack-including Salesforce governor limits , Informatica data conversion pipelines , MuleSoft API interfaces , Automic batch schedules , and QA/UAT defect trends . Key Roles & Responsibilities 1. Executive Leadership & Stakeholder Management Serve as the central authority and primary escalation point for all business sponsors, agency executives, operations directors, and technical leads. Manage competing priorities among disparate stakeholder groups, aligning operational casework requirements with enterprise IT standards and budget guardrails. Lead weekly steering committee meetings, executive briefings, and program governance reviews. Author and distribute comprehensive weekly executive status reports, program health scorecards (budget, schedule, scope, quality), and actionable RAID (Risks, Assumptions, Issues, Dependencies) logs. 2. Budget, Financial Governance & Resource Management Own the total cost of ownership (TCO) and capital expenditure budget for the modernization initiative. Track project burn rates, financial forecasting, invoice reconciliation, and cost variance analysis against planned baselines. Oversee resource planning and vendor performance, ensuring systems integrators, contractors, and internal engineering teams hit delivery milestones within contracted hours. Manage contract deliverables, change requests (CRs), and statement-of-work (SOW) compliance. 3. Technical Literacy, Workstream Triage & Issue Resolution Lead technical triage sessions and cut through complexity to resolve cross-workstream bottlenecks: Salesforce: Understand architecture constraints, customization vs. out-of-the-box trade-offs, security/sharing complexities, and deployment blockers. Informatica & Staging: Comprehend data migration throughput issues, mapping bottlenecks, transformation errors, and legacy conversion exceptions. MuleSoft Interfaces: Understand payload failures, endpoint connectivity, API latency, and contract alignment between systems. Automic (Atomic) Batch Schedulers: Track batch window run times, job failure dependencies, and automated alerting hurdles. QA & Defect Triage: Chair defect triage boards with QA leads, developers, and BAs; enforce severity/priority standards to unblock test execution and UAT. 4. Product Ownership, Scope & Roadmap Governance Define and defend the project roadmap, distinguishing critical Minimum Viable Product (MVP) capabilities from post-launch enhancements. Own scope control: evaluate proposed business changes against budget, technical debt, and cutover timelines to prevent scope creep. Partner with the Salesforce Agile BA to ensure user stories, technical enablers, and acceptance criteria meet strategic business objectives. Make authoritative decisions on legacy data conversion cutoffs (e.g., determining what volume of historical cases convert vs. archive). 5. Delivery, Cutover & Release Governance Maintain an integrated master schedule (IMS) aligning Agile sprint cycles with rigid waterfall milestones (procurement, cutover gates, regulatory audits). Plan and direct dry runs, volume performance testing, and mock cutovers leading up to final production deployment. Author the executive go/no-go criteria and command the cutover war room during production release windows. Qualifications & Skill Requirements Core Experience & Leadership Enterprise Modernization Track Record (8+ years): Proven experience leading large-scale, complex software delivery programs, specifically legacy mainframe-to-cloud core replacements. Proven background managing projects with budgets exceeding 5M-15M+. Dual PM / Product Owner Capabilities: Demonstrated ability to pair traditional PM rigor (budgets, schedules, risk registers, executive status decks) with Agile product ownership (backlog prioritization, MVP definition, trade-off analysis). Technical Breadth & Stack Fluency: Solid working knowledge of the modern integration and data landscape; ability to lead architectural discussions without needing code-level expertise. Direct project experience involving Salesforce (preferably Service Cloud or large Case Management engines). Direct project experience involving enterprise ETL tools ( Informatica ), middleware/APIs ( MuleSoft ), batch schedulers ( Automic / UC4 ), and legacy Mainframe extraction/conversion. Financial & Contractual Acumen: Expertise in project accounting, Earned Value Management (EVM), vendor milestone validation, and resource forecasting. Professional Competencies Executive gravitas: capable of commanding meetings with C-suite stakeholders and pushing back diplomatically on unrealistic demands. High crisis tolerance: calm under pressure when high-severity defects or cutover delays emerge. Master-level written and visual reporting skills using Jira, Confluence, Microsoft Project/Smartsheet, and executive presentation tools. Preferred Certifications Project Management Professional (PMP) or Program Management Professional (PgMP) Certified Scrum Product Owner (CSPO) or PMI-Agile Certified Practitioner (PMI-ACP) Salesforce Certified Associate or Salesforce Certified Administrator (demonstrating platform literacy)
11/14/2026
Full time
Job Description Senior Technical Project Manager / Program Manager (Legacy Modernization) Department: Enterprise Application Modernization / Program Management Office (PMO) Project: Mainframe Case Management to Salesforce) Dedicated Tool Stack: Salesforce (Service Cloud / Case Management) Informatica Automic (Atomic) Scheduler MuleSoft Relational Databases (SQL) Mainframe Location: Phoenix, Arizona Position Overview We are seeking a high-caliber Senior Technical Project Manager / Program Owner to serve as the single point of leadership ("Commander-in-Chief") for the modernization of our legacy mainframe case management system, Mainframe , into Salesforce . This role blends executive program management, financial stewardship, product ownership, and hands-on technical fluency. You will own the program budget, drive vendor/resource allocations, steer executive stakeholders, and publish transparent weekly reporting. Critically, you must possess the technical acumen to understand and triage architectural roadblocks across our modernization stack-including Salesforce governor limits , Informatica data conversion pipelines , MuleSoft API interfaces , Automic batch schedules , and QA/UAT defect trends . Key Roles & Responsibilities 1. Executive Leadership & Stakeholder Management Serve as the central authority and primary escalation point for all business sponsors, agency executives, operations directors, and technical leads. Manage competing priorities among disparate stakeholder groups, aligning operational casework requirements with enterprise IT standards and budget guardrails. Lead weekly steering committee meetings, executive briefings, and program governance reviews. Author and distribute comprehensive weekly executive status reports, program health scorecards (budget, schedule, scope, quality), and actionable RAID (Risks, Assumptions, Issues, Dependencies) logs. 2. Budget, Financial Governance & Resource Management Own the total cost of ownership (TCO) and capital expenditure budget for the modernization initiative. Track project burn rates, financial forecasting, invoice reconciliation, and cost variance analysis against planned baselines. Oversee resource planning and vendor performance, ensuring systems integrators, contractors, and internal engineering teams hit delivery milestones within contracted hours. Manage contract deliverables, change requests (CRs), and statement-of-work (SOW) compliance. 3. Technical Literacy, Workstream Triage & Issue Resolution Lead technical triage sessions and cut through complexity to resolve cross-workstream bottlenecks: Salesforce: Understand architecture constraints, customization vs. out-of-the-box trade-offs, security/sharing complexities, and deployment blockers. Informatica & Staging: Comprehend data migration throughput issues, mapping bottlenecks, transformation errors, and legacy conversion exceptions. MuleSoft Interfaces: Understand payload failures, endpoint connectivity, API latency, and contract alignment between systems. Automic (Atomic) Batch Schedulers: Track batch window run times, job failure dependencies, and automated alerting hurdles. QA & Defect Triage: Chair defect triage boards with QA leads, developers, and BAs; enforce severity/priority standards to unblock test execution and UAT. 4. Product Ownership, Scope & Roadmap Governance Define and defend the project roadmap, distinguishing critical Minimum Viable Product (MVP) capabilities from post-launch enhancements. Own scope control: evaluate proposed business changes against budget, technical debt, and cutover timelines to prevent scope creep. Partner with the Salesforce Agile BA to ensure user stories, technical enablers, and acceptance criteria meet strategic business objectives. Make authoritative decisions on legacy data conversion cutoffs (e.g., determining what volume of historical cases convert vs. archive). 5. Delivery, Cutover & Release Governance Maintain an integrated master schedule (IMS) aligning Agile sprint cycles with rigid waterfall milestones (procurement, cutover gates, regulatory audits). Plan and direct dry runs, volume performance testing, and mock cutovers leading up to final production deployment. Author the executive go/no-go criteria and command the cutover war room during production release windows. Qualifications & Skill Requirements Core Experience & Leadership Enterprise Modernization Track Record (8+ years): Proven experience leading large-scale, complex software delivery programs, specifically legacy mainframe-to-cloud core replacements. Proven background managing projects with budgets exceeding 5M-15M+. Dual PM / Product Owner Capabilities: Demonstrated ability to pair traditional PM rigor (budgets, schedules, risk registers, executive status decks) with Agile product ownership (backlog prioritization, MVP definition, trade-off analysis). Technical Breadth & Stack Fluency: Solid working knowledge of the modern integration and data landscape; ability to lead architectural discussions without needing code-level expertise. Direct project experience involving Salesforce (preferably Service Cloud or large Case Management engines). Direct project experience involving enterprise ETL tools ( Informatica ), middleware/APIs ( MuleSoft ), batch schedulers ( Automic / UC4 ), and legacy Mainframe extraction/conversion. Financial & Contractual Acumen: Expertise in project accounting, Earned Value Management (EVM), vendor milestone validation, and resource forecasting. Professional Competencies Executive gravitas: capable of commanding meetings with C-suite stakeholders and pushing back diplomatically on unrealistic demands. High crisis tolerance: calm under pressure when high-severity defects or cutover delays emerge. Master-level written and visual reporting skills using Jira, Confluence, Microsoft Project/Smartsheet, and executive presentation tools. Preferred Certifications Project Management Professional (PMP) or Program Management Professional (PgMP) Certified Scrum Product Owner (CSPO) or PMI-Agile Certified Practitioner (PMI-ACP) Salesforce Certified Associate or Salesforce Certified Administrator (demonstrating platform literacy)
Job Description Position: Lead / Senior AI Engineer Location: NYC, NY "Hybrid Office BI-weekly " Mode Of Hire: Long term Contract Role Overview The Senior AI Engineer designs, builds, and supports secure, reliable AI-enabled applications and backend services for firmwide products and workflows. The role combines strong software engineering with practical experience in enterprise search, retrieval, language models, and cloud AI platforms. The engineer works across product, application, data, security, and business teams to move solutions from technical design through production adoption. Key Responsibilities Include Design, build, and maintain backend services, APIs, and application features for firmwide products and AI-enabled workflows. Develop AI application capabilities such as enterprise search, summarization, information extraction, document generation, and conversational experiences using large and small language models. Design and integrate secure connections among applications, AI services, enterprise data, and business systems through well-defined APIs, identity controls, and access policies. Build retrieval solutions that make relevant enterprise information available to AI applications, including content ingestion, metadata processing, embeddings, indexing, and vector, semantic, or hybrid search. Apply sound software engineering practices, including modular design, code review, automated testing, CI/CD, observability, error handling, and performance tuning. Evaluate AI features for quality, groundedness, reliability, security, latency, and cost; use evaluation results and user feedback to improve them over time. Partner with product, application, data, security, and business teams to translate needs into technical designs and explain implementation choices and trade-offs. Own solutions through design, development, deployment, and production support; contribute to technical standards and help other engineers grow. Qualifications Bachelor's degree in computer science, engineering, information systems, artificial intelligence, or a related field, or equivalent practical experience. 10+ years of professional software engineering or related experience, including substantial work on backend services, APIs, applications, or distributed systems. At least 2 years of experience building or integrating generative AI or LLM-based solutions in applications or business systems. Strong programming skills in C#/.NET preferred; experience with Python or another production language such as Java, JavaScript, or TypeScript is also valuable. Demonstrated ability to design and integrate APIs and services and deliver software from development through deployment and production support. Experience with automated testing, CI/CD, cloud deployment, logging, monitoring, and troubleshooting production applications. Understanding of secure software development, data privacy, and responsible use of AI, with the ability to communicate technical decisions clearly to technical and non-technical colleagues.
11/14/2026
Full time
Job Description Position: Lead / Senior AI Engineer Location: NYC, NY "Hybrid Office BI-weekly " Mode Of Hire: Long term Contract Role Overview The Senior AI Engineer designs, builds, and supports secure, reliable AI-enabled applications and backend services for firmwide products and workflows. The role combines strong software engineering with practical experience in enterprise search, retrieval, language models, and cloud AI platforms. The engineer works across product, application, data, security, and business teams to move solutions from technical design through production adoption. Key Responsibilities Include Design, build, and maintain backend services, APIs, and application features for firmwide products and AI-enabled workflows. Develop AI application capabilities such as enterprise search, summarization, information extraction, document generation, and conversational experiences using large and small language models. Design and integrate secure connections among applications, AI services, enterprise data, and business systems through well-defined APIs, identity controls, and access policies. Build retrieval solutions that make relevant enterprise information available to AI applications, including content ingestion, metadata processing, embeddings, indexing, and vector, semantic, or hybrid search. Apply sound software engineering practices, including modular design, code review, automated testing, CI/CD, observability, error handling, and performance tuning. Evaluate AI features for quality, groundedness, reliability, security, latency, and cost; use evaluation results and user feedback to improve them over time. Partner with product, application, data, security, and business teams to translate needs into technical designs and explain implementation choices and trade-offs. Own solutions through design, development, deployment, and production support; contribute to technical standards and help other engineers grow. Qualifications Bachelor's degree in computer science, engineering, information systems, artificial intelligence, or a related field, or equivalent practical experience. 10+ years of professional software engineering or related experience, including substantial work on backend services, APIs, applications, or distributed systems. At least 2 years of experience building or integrating generative AI or LLM-based solutions in applications or business systems. Strong programming skills in C#/.NET preferred; experience with Python or another production language such as Java, JavaScript, or TypeScript is also valuable. Demonstrated ability to design and integrate APIs and services and deliver software from development through deployment and production support. Experience with automated testing, CI/CD, cloud deployment, logging, monitoring, and troubleshooting production applications. Understanding of secure software development, data privacy, and responsible use of AI, with the ability to communicate technical decisions clearly to technical and non-technical colleagues.
Job Description Job Summary Neutrino Advisory is looking for a Senior Analytics Engineer to help build modern, scalable, and trusted data foundations that enable organizations to make better business decisions. In this role, you will design, build, and maintain transformation and semantic layers that convert raw data from enterprise platforms into governed, well-tested, documented, and business-ready datasets and metrics. You will play a key role in enabling both centralized and self-service analytics, ensuring that analysts, business stakeholders, and AI-enabled tools can access and generate trustworthy insights from enterprise data. The ideal candidate brings strong software engineering discipline to analytics development, including version control, automated testing, code reviews, and continuous integration and deployment. You will work closely with business stakeholders, data engineers, BI developers, and technology teams to establish best practices and deliver high-quality data products. This is a hands-on senior-level role with opportunities to influence architecture, establish engineering standards, mentor team members, and contribute to Neutrino's growing Data & Analytics practice. Key Responsibilities • Design, develop, and maintain dbt models on Microsoft Fabric, transforming raw source data into clean, well-documented staging, intermediate, and mart layers using consistent modeling standards and naming conventions. • Design and co-own Power BI semantic models, including certified datasets, shared measures, and row-level security, ensuring consistent metric definitions across reports, dashboards, and self-service analytics. • Establish and implement data quality standards through dbt tests, source freshness checks, data contracts, monitoring, and alerting mechanisms. • Implement software engineering best practices for analytics development, including Git-based workflows, pull request reviews, automated CI/CD for dbt and Fabric deployments, and environment management across development, testing, and production. • Collaborate with business stakeholders, finance, operations, and technology teams to translate business requirements into reliable data models, metrics, and analytical solutions. • Establish clear documentation for data models, metrics, business definitions, and data lineage to enable analysts, business users, and AI-powered tools to discover and confidently use enterprise data. • Develop and maintain a catalog of certified datasets, business metrics, and data ownership. • Optimize data transformation pipelines and semantic models for performance, scalability, and cost through incremental loading, partitioning, and efficient query design. • Apply appropriate data access controls, privacy protections, security standards, and auditability requirements in collaboration with information security and compliance teams. • Review technical deliverables, mentor junior analysts and engineers, and promote best practices in analytics engineering and data modeling. • Contribute to the development of reusable templates, technical standards, frameworks, and onboarding documentation. • Evaluate emerging tools, technologies, and architectural approaches to continuously improve the data and analytics ecosystem. • Troubleshoot complex data and pipeline issues, conduct root cause analysis, and communicate resolutions and business impact effectively to technical and non-technical stakeholders. Required Knowledge, Skills & Qualifications • Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, Information Systems, or a related field, or equivalent practical experience. • 6+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence development, with demonstrated experience delivering production-grade data models. • Advanced SQL skills, including query optimization, dimensional modeling, fact and dimension tables, and slowly changing dimensions (SCD). • Hands-on experience with dbt in production environments, including modular model development, testing, documentation, macros, incremental models, and deployment practices. • Experience with Microsoft Fabric, including Lakehouse, Warehouse, OneLake, Data Factory, and data pipelines, or comparable cloud data platforms such as Snowflake, Databricks, or BigQuery. • Strong Power BI experience, including semantic model design, DAX, row-level security, and governance of shared datasets. • Familiarity with AI-enabled analytics tools and the data architecture, governed metrics, metadata, and documentation required to support reliable AI-driven insights. • Working knowledge of Git, pull request workflows, and CI/CD pipelines using tools such as Azure DevOps or GitHub Actions. • Proficiency in Python for scripting, automation, and data validation. • Experience implementing data quality, testing, monitoring, and observability practices. • Ability to translate complex or ambiguous business requirements into clear technical designs and communicate architectural decisions and trade-offs effectively. • Strong written and verbal communication skills, with the ability to collaborate across technical and business teams. • Understanding of data privacy, security, governance, and compliance principles. Preferred Qualifications • Experience in financial services, wealth management, banking, healthcare, or other regulated industries. • Familiarity with CRM, portfolio accounting, financial reporting, or custodial data. • Experience building enterprise-scale analytics platforms using Microsoft Azure and Microsoft Fabric. • Exposure to modern data architecture patterns, including medallion architecture, data lakes, lakehouses, and enterprise data warehouses. • Experience working with AI-powered analytics, natural language querying, and enterprise data governance for AI adoption. What We Offer • Opportunity to work on modern data engineering and analytics transformation initiatives. • Exposure to enterprise-scale implementations across Microsoft Fabric, Power BI, Azure, and modern data platforms. • Opportunity to work with emerging AI technologies and help shape the future of enterprise analytics. • A collaborative, technology-driven environment with opportunities for continuous learning and professional growth. • The opportunity to take ownership, influence technical direction, and contribute to building Neutrino's Data & Analytics practice. About Neutrino Advisory Neutrino Advisory is a Digital Strategy, Advisory & Marketing Technology firm helping organizations navigate digital transformation through data, cloud, CRM, enterprise platforms, and applied AI. We combine business strategy with technology expertise to build scalable solutions that deliver measurable business outcomes. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
11/14/2026
Full time
Job Description Job Summary Neutrino Advisory is looking for a Senior Analytics Engineer to help build modern, scalable, and trusted data foundations that enable organizations to make better business decisions. In this role, you will design, build, and maintain transformation and semantic layers that convert raw data from enterprise platforms into governed, well-tested, documented, and business-ready datasets and metrics. You will play a key role in enabling both centralized and self-service analytics, ensuring that analysts, business stakeholders, and AI-enabled tools can access and generate trustworthy insights from enterprise data. The ideal candidate brings strong software engineering discipline to analytics development, including version control, automated testing, code reviews, and continuous integration and deployment. You will work closely with business stakeholders, data engineers, BI developers, and technology teams to establish best practices and deliver high-quality data products. This is a hands-on senior-level role with opportunities to influence architecture, establish engineering standards, mentor team members, and contribute to Neutrino's growing Data & Analytics practice. Key Responsibilities • Design, develop, and maintain dbt models on Microsoft Fabric, transforming raw source data into clean, well-documented staging, intermediate, and mart layers using consistent modeling standards and naming conventions. • Design and co-own Power BI semantic models, including certified datasets, shared measures, and row-level security, ensuring consistent metric definitions across reports, dashboards, and self-service analytics. • Establish and implement data quality standards through dbt tests, source freshness checks, data contracts, monitoring, and alerting mechanisms. • Implement software engineering best practices for analytics development, including Git-based workflows, pull request reviews, automated CI/CD for dbt and Fabric deployments, and environment management across development, testing, and production. • Collaborate with business stakeholders, finance, operations, and technology teams to translate business requirements into reliable data models, metrics, and analytical solutions. • Establish clear documentation for data models, metrics, business definitions, and data lineage to enable analysts, business users, and AI-powered tools to discover and confidently use enterprise data. • Develop and maintain a catalog of certified datasets, business metrics, and data ownership. • Optimize data transformation pipelines and semantic models for performance, scalability, and cost through incremental loading, partitioning, and efficient query design. • Apply appropriate data access controls, privacy protections, security standards, and auditability requirements in collaboration with information security and compliance teams. • Review technical deliverables, mentor junior analysts and engineers, and promote best practices in analytics engineering and data modeling. • Contribute to the development of reusable templates, technical standards, frameworks, and onboarding documentation. • Evaluate emerging tools, technologies, and architectural approaches to continuously improve the data and analytics ecosystem. • Troubleshoot complex data and pipeline issues, conduct root cause analysis, and communicate resolutions and business impact effectively to technical and non-technical stakeholders. Required Knowledge, Skills & Qualifications • Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, Information Systems, or a related field, or equivalent practical experience. • 6+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence development, with demonstrated experience delivering production-grade data models. • Advanced SQL skills, including query optimization, dimensional modeling, fact and dimension tables, and slowly changing dimensions (SCD). • Hands-on experience with dbt in production environments, including modular model development, testing, documentation, macros, incremental models, and deployment practices. • Experience with Microsoft Fabric, including Lakehouse, Warehouse, OneLake, Data Factory, and data pipelines, or comparable cloud data platforms such as Snowflake, Databricks, or BigQuery. • Strong Power BI experience, including semantic model design, DAX, row-level security, and governance of shared datasets. • Familiarity with AI-enabled analytics tools and the data architecture, governed metrics, metadata, and documentation required to support reliable AI-driven insights. • Working knowledge of Git, pull request workflows, and CI/CD pipelines using tools such as Azure DevOps or GitHub Actions. • Proficiency in Python for scripting, automation, and data validation. • Experience implementing data quality, testing, monitoring, and observability practices. • Ability to translate complex or ambiguous business requirements into clear technical designs and communicate architectural decisions and trade-offs effectively. • Strong written and verbal communication skills, with the ability to collaborate across technical and business teams. • Understanding of data privacy, security, governance, and compliance principles. Preferred Qualifications • Experience in financial services, wealth management, banking, healthcare, or other regulated industries. • Familiarity with CRM, portfolio accounting, financial reporting, or custodial data. • Experience building enterprise-scale analytics platforms using Microsoft Azure and Microsoft Fabric. • Exposure to modern data architecture patterns, including medallion architecture, data lakes, lakehouses, and enterprise data warehouses. • Experience working with AI-powered analytics, natural language querying, and enterprise data governance for AI adoption. What We Offer • Opportunity to work on modern data engineering and analytics transformation initiatives. • Exposure to enterprise-scale implementations across Microsoft Fabric, Power BI, Azure, and modern data platforms. • Opportunity to work with emerging AI technologies and help shape the future of enterprise analytics. • A collaborative, technology-driven environment with opportunities for continuous learning and professional growth. • The opportunity to take ownership, influence technical direction, and contribute to building Neutrino's Data & Analytics practice. About Neutrino Advisory Neutrino Advisory is a Digital Strategy, Advisory & Marketing Technology firm helping organizations navigate digital transformation through data, cloud, CRM, enterprise platforms, and applied AI. We combine business strategy with technology expertise to build scalable solutions that deliver measurable business outcomes. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Job Description Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is seeking a Senior Mission Systems & Autonomy Engineer to join our Phantom Works team to lead the development of mission systems and autonomy solutions for a proprietary effort. The Phantom Works Mission Systems and Autonomy team resides with our Boeing Defense, Space & Security (BDS) - Phantom Works division, focused on developing the next generation of mission systems and autonomous platforms for our customers. Our team develops complex, highly integrated solutions for manned and unmanned platforms across key mission systems capability areas including, but not limited to: Advanced communications / Command & Control (C2) / Manned-Unmanned Teaming (MUM-T) Weapons Integration and Employment Mission & Flight Autonomy Electro-Optical/Infrared (EO/IR) RF / EW Mission Computing Government Reference Architectures (AMS, Autonomy, etc.) The selected candidate will be responsible for leading the development of mission systems architectures and designs across the capabilities above for the full mission systems suite on a proprietary effort. Position Responsibilities: Technical leadership of the full mission systems scope Mission Systems Architecture Design, and Development from the platform level down to hardware and software solutions Collaboration with Operations Analysts to assess Mission Effectiveness of various mission systems concepts Performance analysis supporting mission systems capability areas Model-Based Systems Engineering (MBSE) implementation of mission systems design artifacts, including requirements, verification/test procedures, interfaces and behaviors Collaboration with program stakeholders and subject matter experts (SMEs) across various disciplines (Operational Analysis, Software, Electrical/Systems Engineering, Labs, etc) Briefing customer stakeholders at both formal and informal technical meetings Engagements with suppliers and analysis of data they provide Mentorship of junior engineers on within the program and the greater Phantom Works division Travel may be required up to 10% of the time; Domestically and/or Internationally depending on business needs. Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 14 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. Preferred Qualifications (Desired Skills/Experience): Experience leading execution of mission systems statement of work on unmanned Department of War (DoW) platforms. Experience developing and implementing GRA-compliant solutions on DoW platforms Technical experience in two or more of the mission systems capability areas listed above Experience leading the development or integration of avionics / mission systems on defense platforms Experience with utilizing MBSE principles and tools (e.g, Cameo/MSOSA, SysML) Experience developing requirements / verifications / test procedures-include all in PQs. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Relocation: This position offers relocation based on candidate eligibility. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies . Pay and Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Please note that the salary information shown below is a general guideline only. Pay is based upon candidate experience and qualifications, as well as market and business considerations. The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Potential signing bonus for eligible/qualified external candidates Summary pay range: Level 5: $164,900-$223,100 Applications for this position will be accepted until Dec. 31, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
11/14/2026
Full time
Job Description Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is seeking a Senior Mission Systems & Autonomy Engineer to join our Phantom Works team to lead the development of mission systems and autonomy solutions for a proprietary effort. The Phantom Works Mission Systems and Autonomy team resides with our Boeing Defense, Space & Security (BDS) - Phantom Works division, focused on developing the next generation of mission systems and autonomous platforms for our customers. Our team develops complex, highly integrated solutions for manned and unmanned platforms across key mission systems capability areas including, but not limited to: Advanced communications / Command & Control (C2) / Manned-Unmanned Teaming (MUM-T) Weapons Integration and Employment Mission & Flight Autonomy Electro-Optical/Infrared (EO/IR) RF / EW Mission Computing Government Reference Architectures (AMS, Autonomy, etc.) The selected candidate will be responsible for leading the development of mission systems architectures and designs across the capabilities above for the full mission systems suite on a proprietary effort. Position Responsibilities: Technical leadership of the full mission systems scope Mission Systems Architecture Design, and Development from the platform level down to hardware and software solutions Collaboration with Operations Analysts to assess Mission Effectiveness of various mission systems concepts Performance analysis supporting mission systems capability areas Model-Based Systems Engineering (MBSE) implementation of mission systems design artifacts, including requirements, verification/test procedures, interfaces and behaviors Collaboration with program stakeholders and subject matter experts (SMEs) across various disciplines (Operational Analysis, Software, Electrical/Systems Engineering, Labs, etc) Briefing customer stakeholders at both formal and informal technical meetings Engagements with suppliers and analysis of data they provide Mentorship of junior engineers on within the program and the greater Phantom Works division Travel may be required up to 10% of the time; Domestically and/or Internationally depending on business needs. Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 14 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. Preferred Qualifications (Desired Skills/Experience): Experience leading execution of mission systems statement of work on unmanned Department of War (DoW) platforms. Experience developing and implementing GRA-compliant solutions on DoW platforms Technical experience in two or more of the mission systems capability areas listed above Experience leading the development or integration of avionics / mission systems on defense platforms Experience with utilizing MBSE principles and tools (e.g, Cameo/MSOSA, SysML) Experience developing requirements / verifications / test procedures-include all in PQs. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Relocation: This position offers relocation based on candidate eligibility. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies . Pay and Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Please note that the salary information shown below is a general guideline only. Pay is based upon candidate experience and qualifications, as well as market and business considerations. The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Potential signing bonus for eligible/qualified external candidates Summary pay range: Level 5: $164,900-$223,100 Applications for this position will be accepted until Dec. 31, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Job Description Senior Embedded Software Engineer: Space & AI Location: Washington DC, (USA) Annual Salary: $130,000 - $185,000 per annum Great Benefits Package & Relocation Assistance Company overview & Job Title: Build the software that flies. A fast-growing Space & AI engineering company in Washington DC is hiring a brand-new Senior Embedded Software Engineer . You'll work on cutting-edge technology for the next generation of spacecraft and take it from first design to market. Salary on offer: The annual salary on offer for the successful Senior Embedded Software Engineer is $130,000 - $185,000 per annum. Summary of the Embedded Software Engineering Role: The successful Senior Embedded Software Engineer will lead the design, development, testing and maintenance of embedded software across the full product lifecycle. You'll get real ownership and real impact, with products that go to space. Senior Embedded Software Engineer Key Skills: Bachelor's degree in Computer Science, Electrical Engineering or Equivalent Minimum of 5 years of industry experience Embedded Software Programming in C, C++ & Python Experience of Xilinx Zynq SoC (bare-metal, FreeRTOS, or embedded Linux) Network interfaces - SPI, I2C, USB, UART, RS232/485, Ethernet Ability to read an electrical schematic, debug & test equipment using Oscilloscopes, or similar Experience with version control (Git or similar), CI/CD pipelines, automated testing, and managing complex build systems across product lines Experience writing maintainable code and setting up code review, testing, and documentation practices. FPGA or SoC experience (VHDL/Verilog, Vivado, processor-to-logic interfaces) - Bonus Experience in Aerospace, Spaceflight, Defense, or other high-reliability environments - Bonus Strong teamwork and communication skills What's in it for you: $130,000 - $185,000 per annum Meaningful equity and real ownership Significant growth opportunity within the company Cutting-edge technology from day one 401(k) Healthcare, including dental and vision Paid vacation, sick leave, holidays and parental leave Free on-site gym Relocation assistance Ready to launch your next move? Apply now or contact Frank Kanjanda at or +1 to find out more.
11/14/2026
Full time
Job Description Senior Embedded Software Engineer: Space & AI Location: Washington DC, (USA) Annual Salary: $130,000 - $185,000 per annum Great Benefits Package & Relocation Assistance Company overview & Job Title: Build the software that flies. A fast-growing Space & AI engineering company in Washington DC is hiring a brand-new Senior Embedded Software Engineer . You'll work on cutting-edge technology for the next generation of spacecraft and take it from first design to market. Salary on offer: The annual salary on offer for the successful Senior Embedded Software Engineer is $130,000 - $185,000 per annum. Summary of the Embedded Software Engineering Role: The successful Senior Embedded Software Engineer will lead the design, development, testing and maintenance of embedded software across the full product lifecycle. You'll get real ownership and real impact, with products that go to space. Senior Embedded Software Engineer Key Skills: Bachelor's degree in Computer Science, Electrical Engineering or Equivalent Minimum of 5 years of industry experience Embedded Software Programming in C, C++ & Python Experience of Xilinx Zynq SoC (bare-metal, FreeRTOS, or embedded Linux) Network interfaces - SPI, I2C, USB, UART, RS232/485, Ethernet Ability to read an electrical schematic, debug & test equipment using Oscilloscopes, or similar Experience with version control (Git or similar), CI/CD pipelines, automated testing, and managing complex build systems across product lines Experience writing maintainable code and setting up code review, testing, and documentation practices. FPGA or SoC experience (VHDL/Verilog, Vivado, processor-to-logic interfaces) - Bonus Experience in Aerospace, Spaceflight, Defense, or other high-reliability environments - Bonus Strong teamwork and communication skills What's in it for you: $130,000 - $185,000 per annum Meaningful equity and real ownership Significant growth opportunity within the company Cutting-edge technology from day one 401(k) Healthcare, including dental and vision Paid vacation, sick leave, holidays and parental leave Free on-site gym Relocation assistance Ready to launch your next move? Apply now or contact Frank Kanjanda at or +1 to find out more.
Job Description Staff Infrastructure Engineer (AWS / Kubernetes / Terraform) New York City, 4 - 5 days Onsite $230,000 - $280,000 Base + Equity Want to lead a production AWS platform through a major infrastructure upgrade and take ownership of how it scales, runs and recovers? We're looking for a Staff Infrastructure Engineer to join a fast-growing, VC-backed software company building AI products for enterprise finance teams. Its platform automates critical business workflows and needs to support a growing customer base, higher transaction volumes and increasingly complex security requirements. This is a senior, hands-on engineering role combining infrastructure architecture with day-to-day ownership of production systems. You'll lead the transition from managed container services to Kubernetes, define how the AWS environment is provisioned and operated, and build the tooling that makes deployments and infrastructure changes safer. You'll work directly with engineering leadership and a small platform team to set technical direction and deliver the work yourself. An early priority will be strengthening cloud security and building the infrastructure controls needed to support larger enterprise customers. The role Own the architecture and evolution of the company's production AWS infrastructure Lead the migration to Kubernetes and design the platform to handle increasing customer and workload demands Build and operate Kubernetes environments using Terraform, Docker and Helm Improve CI/CD pipelines, deployment workflows and infrastructure automation Implement practical cloud security controls to support enterprise and compliance requirements Own production reliability and observability, including metrics, logs, tracing, service-level objectives and alerting Lead incident response and postmortems, and follow through on changes that prevent repeat incidents Work with engineering leadership on architecture, technical trade-offs and long-term scalability Stay hands-on with production code, implementation and troubleshooting Requirements 7+ years in software engineering, infrastructure engineering or SRE A software engineering background and experience designing and building production infrastructure. Hands-on SRE and DevOps backgrounds are welcome Strong production experience with Terraform and Kubernetes, including Docker and Helm. AWS experience is strongly preferred Experience owning multiple production Kubernetes clusters A track record of building infrastructure from scratch or scaling it through significant growth Experience at a high-growth startup Working knowledge of information security and how to apply it in production Hands-on coding experience in one of TypeScript, Python, Rust or Java would be particularly useful but not essential, as is experience building observability systems and defining SLIs and SLOs. Compensation $230,000 - $280,000 base salary Competitive equity Up to 100% coverage of healthcare premiums Unlimited PTO (Paid Time Off) 12 weeks of parental leave Lunch provided daily New York City, 4 - 5 days per week in-office Visa transfers considered This is an opportunity to take Staff-level ownership of the AWS platform at a growing software company. You'll make the architecture decisions behind a major Kubernetes migration and stay close to the code, deployments and production systems as the business scales. If you're a Senior or Staff Infrastructure Engineer who enjoys designing systems and operating them in production, please send your resume to Jennifer Palmer at IT Recruitment Solutions.
11/14/2026
Full time
Job Description Staff Infrastructure Engineer (AWS / Kubernetes / Terraform) New York City, 4 - 5 days Onsite $230,000 - $280,000 Base + Equity Want to lead a production AWS platform through a major infrastructure upgrade and take ownership of how it scales, runs and recovers? We're looking for a Staff Infrastructure Engineer to join a fast-growing, VC-backed software company building AI products for enterprise finance teams. Its platform automates critical business workflows and needs to support a growing customer base, higher transaction volumes and increasingly complex security requirements. This is a senior, hands-on engineering role combining infrastructure architecture with day-to-day ownership of production systems. You'll lead the transition from managed container services to Kubernetes, define how the AWS environment is provisioned and operated, and build the tooling that makes deployments and infrastructure changes safer. You'll work directly with engineering leadership and a small platform team to set technical direction and deliver the work yourself. An early priority will be strengthening cloud security and building the infrastructure controls needed to support larger enterprise customers. The role Own the architecture and evolution of the company's production AWS infrastructure Lead the migration to Kubernetes and design the platform to handle increasing customer and workload demands Build and operate Kubernetes environments using Terraform, Docker and Helm Improve CI/CD pipelines, deployment workflows and infrastructure automation Implement practical cloud security controls to support enterprise and compliance requirements Own production reliability and observability, including metrics, logs, tracing, service-level objectives and alerting Lead incident response and postmortems, and follow through on changes that prevent repeat incidents Work with engineering leadership on architecture, technical trade-offs and long-term scalability Stay hands-on with production code, implementation and troubleshooting Requirements 7+ years in software engineering, infrastructure engineering or SRE A software engineering background and experience designing and building production infrastructure. Hands-on SRE and DevOps backgrounds are welcome Strong production experience with Terraform and Kubernetes, including Docker and Helm. AWS experience is strongly preferred Experience owning multiple production Kubernetes clusters A track record of building infrastructure from scratch or scaling it through significant growth Experience at a high-growth startup Working knowledge of information security and how to apply it in production Hands-on coding experience in one of TypeScript, Python, Rust or Java would be particularly useful but not essential, as is experience building observability systems and defining SLIs and SLOs. Compensation $230,000 - $280,000 base salary Competitive equity Up to 100% coverage of healthcare premiums Unlimited PTO (Paid Time Off) 12 weeks of parental leave Lunch provided daily New York City, 4 - 5 days per week in-office Visa transfers considered This is an opportunity to take Staff-level ownership of the AWS platform at a growing software company. You'll make the architecture decisions behind a major Kubernetes migration and stay close to the code, deployments and production systems as the business scales. If you're a Senior or Staff Infrastructure Engineer who enjoys designing systems and operating them in production, please send your resume to Jennifer Palmer at IT Recruitment Solutions.
Job Description Senior Software Integration Engineer Baltimore, MD Hybrid: 3 days onsite per week Full-time, direct-hire opportunity We're seeking a Senior SW Integration Engineer to build and support integrations across enterprise applications and data platforms. This role requires strong backend engineering skills and experience taking solutions from business requirements through development, testing, and production deployment. What you'll do: Design and build integrations connecting enterprise systems through REST APIs and databases. Develop data transformation, validation, and reconciliation workflows. Translate business requirements into practical technical solutions. Use Git, testing, and secure credential management throughout development. Participate in controlled production releases, monitoring, and troubleshooting. Collaborate with engineering teams and business stakeholders throughout the solution lifecycle. What we're looking for: Ideally 5+ years of experience in backend software development, integration engineering, or data engineering. Hands-on experience building API integrations and working with SQL and relational databases. Demonstrated experience delivering and supporting solutions in production. Familiarity with source control, Agile development, testing, and release processes. Strong technical problem-solving skills and the ability to explain your implementation decisions. Snowflake experience strongly preferred; Python and Boomi or similar integration platform experience are valuable. Candidates should be comfortable discussing a solution they personally helped deliver-including the requirements, API interactions, data handling, security, and production release. This is an opportunity to apply software engineering skills to connecting enterprise platforms and automating business processes. Please apply to the role to be considered.
11/14/2026
Full time
Job Description Senior Software Integration Engineer Baltimore, MD Hybrid: 3 days onsite per week Full-time, direct-hire opportunity We're seeking a Senior SW Integration Engineer to build and support integrations across enterprise applications and data platforms. This role requires strong backend engineering skills and experience taking solutions from business requirements through development, testing, and production deployment. What you'll do: Design and build integrations connecting enterprise systems through REST APIs and databases. Develop data transformation, validation, and reconciliation workflows. Translate business requirements into practical technical solutions. Use Git, testing, and secure credential management throughout development. Participate in controlled production releases, monitoring, and troubleshooting. Collaborate with engineering teams and business stakeholders throughout the solution lifecycle. What we're looking for: Ideally 5+ years of experience in backend software development, integration engineering, or data engineering. Hands-on experience building API integrations and working with SQL and relational databases. Demonstrated experience delivering and supporting solutions in production. Familiarity with source control, Agile development, testing, and release processes. Strong technical problem-solving skills and the ability to explain your implementation decisions. Snowflake experience strongly preferred; Python and Boomi or similar integration platform experience are valuable. Candidates should be comfortable discussing a solution they personally helped deliver-including the requirements, API interactions, data handling, security, and production release. This is an opportunity to apply software engineering skills to connecting enterprise platforms and automating business processes. Please apply to the role to be considered.
Job Description Cohu is a global supplier of semiconductor test and automation equipment. In this role you will build and sustain software that controls complex electro-mechanical test handlers used in high-volume semiconductor manufacturing. Position Summary Design and develop proprietary Windows desktop application and framework software for control machines, automation systems, and complex electro-mechanical platforms - including motion controllers, I/O systems, sensors, machine vision systems, robotics, and barcode readers. This role spans full lifecycle development-from architecture and design through integration, deployment, and customer support-focused on uptime, safety, and predictable behavior. This position is ideal for engineers who enjoy building large software systems that interact with sophisticated industrial equipment. Essential Functions / Responsibilities Design, develop, test, and integrate machine control software using C++ and C# in a Visual Studio environment. Develop automation software using object-oriented design principles and software design patterns. Integrate motion controllers, I/O systems, machine vision, robotics, sensors, barcode readers, and other industrial devices through vendor-provided Windows APIs and SDKs. Drive system architecture, interface definitions, and software design reviews; establish patterns that scale across product variants. Own customer escalation response: troubleshoot issues using logs, instrumentation, and on-equipment debugging; deliver corrective actions and prevention plans. Partner with Manufacturing and Field Service to resolve production-line and installed-base issues, restore system uptime, and improve reliability. Build verification strategies that push failure detection upstream (simulation, automated system tests, regression suites) and reduce re-occurrence. Interface with customers and cross-functional teams (EE/ME/Test/Apps) to align requirements, integration plans, and release readiness. Mentor engineers through code reviews, design feedback, and technical coaching. Required Qualifications Bachelor's or Master's degree in Computer Engineering, Software Engineering, Computer Science, Electrical Engineering, or a related field. 10+ years of professional software engineering experience, including substantial work on automation, machine control, or complex electro-mechanical systems. Expert C/C++ skills with object-oriented design (OOD) and design patterns; ability to write maintainable, testable, production-quality code. Strong experience developing on Windows desktop applications using Visual Studio; familiarity with C# for tooling, diagnostics, or UI is preferred. Experience developing multithreaded software and event-driven software. Experience integrating external hardware using Windows APIs, SDKs, or communication libraries. Proficiency with version control and collaborative development workflows (Git preferred): code reviews, branching strategies, and disciplined change management. Demonstrated ability to troubleshoot and resolve field issues, including root-cause analysis and implementing corrective/preventive actions. Strong written and verbal communication skills; comfortable presenting designs and status to technical and non-technical stakeholders. Relevant Domain Experience (Any of the Following) Semiconductor equipment, test handlers, ATE integration, or factory automation environments. Comparable experience in industrial automation, robotics, medical devices, or high-volume product engineering with electro-mechanical systems. Preferred / Additional Skills (Highly Beneficial for Test Handler Software) State machine development, event-driven software architecture, machine sequencing, hardware integration through vendor API, motion control APIs, machine vision integration. Hardware/software integration experience (MCU/SoC peripherals, serial buses, timing/latency considerations) and familiarity with common interfaces (RS-232/RS-485, USB, Ethernet, TCP/IP, CAN, I2C, SPI). UI development experience for operator/service tools (WPF, WinForms, or Qt); ability to build effective diagnostics and recovery workflows. Build and release tooling: CI/CD pipelines (e.g., Jenkins), automated test execution, packaging/deployment, and traceable release documentation. Experience with factory/equipment communication standards such as SECS/GEM and related SEMI standards (e.g., E5/E30/E37/HSMS) and/or equipment performance tracking. Experience with simulation or hardware abstraction techniques that enable development and testing before hardware availability. Scripting and data analysis for troubleshooting (e.g., Python) and familiarity with issue tracking (e.g., Jira). Understanding of machine safety concepts: interlocks, e-stops, safe-state design, and failure modes; exposure to functional safety standards (e.g., ISO 13849) is a plus. What Success Looks Like You deliver reliable software that maintains throughput and uptime in production environments. You design scalable software architectures used across multiple products. You reduce escalation frequency by improving diagnosability and recovery behavior. You improve development velocity through pragmatic architecture, automation, and strong engineering hygiene. You mentor engineers and elevate software engineering standards across the organization. You collaborate effectively across disciplines and communicate trade-offs clearly Job Conditions / Additional Information Occasional domestic and international travel may be required (approximately 10%). Work involves extended periods at a computer workstation and may include time in manufacturing areas or at customer sites when supporting escalations. Compensation: The estimated base pay range for this position is $113,000-170,000 per year, depending on qualifications, experience, education, and other job-related factors. This range represents Cohu's good faith estimate of what it reasonably expects to pay for this role upon hire. This role may also be eligible for other compensation programs as determined by company policy. Featured benefits Medical, dental & vision insurance 401(k) with company matching contributions Employee Stock Purchase Plan Tuition assistance Disability & life insurance Profit Sharing With more than 3000 employees worldwide, we offer challenging and rewarding work experiences, generous employee benefits and a strong company culture. If you are looking for a global publicly traded company that provides you with international experience and a challenging work environment, then Cohu is your choice. Connect with Cohu Connect with your future Cohu firmly supports the U.S. national and various state and local policies of equal employment opportunity which are designed to provide equality of employment and advancement opportunities to every individual without regard to unlawful considerations of race, color, religion, national origin, citizenship status, ancestry, gender, gender identity or gender expression, age, marital status, sexual orientation, disability, medical conditions, pregnancy, genetic information, military or veteran status or any other legally protected category. In addition, reasonable accommodations are available to qualified disabled individuals, upon request. Globally, Cohu is committed to full compliance with all applicable laws and regulations governing employment, in the U.S. and in all other locations around the world where we have operations.
11/14/2026
Full time
Job Description Cohu is a global supplier of semiconductor test and automation equipment. In this role you will build and sustain software that controls complex electro-mechanical test handlers used in high-volume semiconductor manufacturing. Position Summary Design and develop proprietary Windows desktop application and framework software for control machines, automation systems, and complex electro-mechanical platforms - including motion controllers, I/O systems, sensors, machine vision systems, robotics, and barcode readers. This role spans full lifecycle development-from architecture and design through integration, deployment, and customer support-focused on uptime, safety, and predictable behavior. This position is ideal for engineers who enjoy building large software systems that interact with sophisticated industrial equipment. Essential Functions / Responsibilities Design, develop, test, and integrate machine control software using C++ and C# in a Visual Studio environment. Develop automation software using object-oriented design principles and software design patterns. Integrate motion controllers, I/O systems, machine vision, robotics, sensors, barcode readers, and other industrial devices through vendor-provided Windows APIs and SDKs. Drive system architecture, interface definitions, and software design reviews; establish patterns that scale across product variants. Own customer escalation response: troubleshoot issues using logs, instrumentation, and on-equipment debugging; deliver corrective actions and prevention plans. Partner with Manufacturing and Field Service to resolve production-line and installed-base issues, restore system uptime, and improve reliability. Build verification strategies that push failure detection upstream (simulation, automated system tests, regression suites) and reduce re-occurrence. Interface with customers and cross-functional teams (EE/ME/Test/Apps) to align requirements, integration plans, and release readiness. Mentor engineers through code reviews, design feedback, and technical coaching. Required Qualifications Bachelor's or Master's degree in Computer Engineering, Software Engineering, Computer Science, Electrical Engineering, or a related field. 10+ years of professional software engineering experience, including substantial work on automation, machine control, or complex electro-mechanical systems. Expert C/C++ skills with object-oriented design (OOD) and design patterns; ability to write maintainable, testable, production-quality code. Strong experience developing on Windows desktop applications using Visual Studio; familiarity with C# for tooling, diagnostics, or UI is preferred. Experience developing multithreaded software and event-driven software. Experience integrating external hardware using Windows APIs, SDKs, or communication libraries. Proficiency with version control and collaborative development workflows (Git preferred): code reviews, branching strategies, and disciplined change management. Demonstrated ability to troubleshoot and resolve field issues, including root-cause analysis and implementing corrective/preventive actions. Strong written and verbal communication skills; comfortable presenting designs and status to technical and non-technical stakeholders. Relevant Domain Experience (Any of the Following) Semiconductor equipment, test handlers, ATE integration, or factory automation environments. Comparable experience in industrial automation, robotics, medical devices, or high-volume product engineering with electro-mechanical systems. Preferred / Additional Skills (Highly Beneficial for Test Handler Software) State machine development, event-driven software architecture, machine sequencing, hardware integration through vendor API, motion control APIs, machine vision integration. Hardware/software integration experience (MCU/SoC peripherals, serial buses, timing/latency considerations) and familiarity with common interfaces (RS-232/RS-485, USB, Ethernet, TCP/IP, CAN, I2C, SPI). UI development experience for operator/service tools (WPF, WinForms, or Qt); ability to build effective diagnostics and recovery workflows. Build and release tooling: CI/CD pipelines (e.g., Jenkins), automated test execution, packaging/deployment, and traceable release documentation. Experience with factory/equipment communication standards such as SECS/GEM and related SEMI standards (e.g., E5/E30/E37/HSMS) and/or equipment performance tracking. Experience with simulation or hardware abstraction techniques that enable development and testing before hardware availability. Scripting and data analysis for troubleshooting (e.g., Python) and familiarity with issue tracking (e.g., Jira). Understanding of machine safety concepts: interlocks, e-stops, safe-state design, and failure modes; exposure to functional safety standards (e.g., ISO 13849) is a plus. What Success Looks Like You deliver reliable software that maintains throughput and uptime in production environments. You design scalable software architectures used across multiple products. You reduce escalation frequency by improving diagnosability and recovery behavior. You improve development velocity through pragmatic architecture, automation, and strong engineering hygiene. You mentor engineers and elevate software engineering standards across the organization. You collaborate effectively across disciplines and communicate trade-offs clearly Job Conditions / Additional Information Occasional domestic and international travel may be required (approximately 10%). Work involves extended periods at a computer workstation and may include time in manufacturing areas or at customer sites when supporting escalations. Compensation: The estimated base pay range for this position is $113,000-170,000 per year, depending on qualifications, experience, education, and other job-related factors. This range represents Cohu's good faith estimate of what it reasonably expects to pay for this role upon hire. This role may also be eligible for other compensation programs as determined by company policy. Featured benefits Medical, dental & vision insurance 401(k) with company matching contributions Employee Stock Purchase Plan Tuition assistance Disability & life insurance Profit Sharing With more than 3000 employees worldwide, we offer challenging and rewarding work experiences, generous employee benefits and a strong company culture. If you are looking for a global publicly traded company that provides you with international experience and a challenging work environment, then Cohu is your choice. Connect with Cohu Connect with your future Cohu firmly supports the U.S. national and various state and local policies of equal employment opportunity which are designed to provide equality of employment and advancement opportunities to every individual without regard to unlawful considerations of race, color, religion, national origin, citizenship status, ancestry, gender, gender identity or gender expression, age, marital status, sexual orientation, disability, medical conditions, pregnancy, genetic information, military or veteran status or any other legally protected category. In addition, reasonable accommodations are available to qualified disabled individuals, upon request. Globally, Cohu is committed to full compliance with all applicable laws and regulations governing employment, in the U.S. and in all other locations around the world where we have operations.
Job Description Top tier financial investment firm seeks an AI Engineer who will lead the design, build, and end-to-end delivery of business-facing AI applications and automation across the Firm. As a member of the AI team within Business Technology, the AI Engineer will work directly with front office Investment Profesionals to understand transaction workflows, translate business needs into technical specifications, and own delivery of practical solutions within the Firm's ecosystem, anticipating issues and managing priorities, resources, and timelines. This is a hands-on, full-stack engineering role combining stakeholder engagement, requirements analysis, software development, testing, deployment, and support. The AI Engineer will also contribute to the Firm's internal AI platform by building and maintaining reusable API integrations, Model Context Protocol (MCP) connectors, and workflow components that securely connect AI applications and agents to approved enterprise systems and data. The AI Engineer will lead day-to-day delivery with a high degree of independence, provide technical guidance and mentoring to junior colleagues, and coordinate with Businesses, Data Science, IT, Information Security, Compliance, and external vendors. Key Responsibilities: Partner with Business to lead requirements gathering and documentation; translate workflows into user stories, technical specifications, and acceptance criteria. Evaluate existing tools before recommending a new build. Lead the design and development of full-stack applications, dashboards, and workflow tools, connecting user interfaces, APIs, databases, and approved AI services to support information synthesis and banker productivity. Own the design, build, testing, and maintenance of secure, reusable API integrations and MCP connectors between the Firm's AI platform and approved enterprise systems, data sources, and third-party services. Lead the development and maintenance of reviewed, configurable templates and reusable components so solutions can be adapted across transactions rather than rebuilt for each deal. Guide AI workflow orchestration and contribute to technical planning. Apply and reinforce engineering best practices, including version control, peer code review, automated testing, secure credential management, logging, and technical documentation. Evaluate AI output quality, reliability, latency, and cost. Lead user acceptance testing, user training, and feedback. Work with IT and engineering on approved deployment, monitoring, support handover, and retirement of temporary deal tools. Partner with Information Security and Compliance to identify and review material changes to solutions or enhancements that warrant additional assessment. Required Skills: Strong hands-on software development expertise in Python and JavaScript or TypeScript , with experience building web interfaces and backend services using frameworks such as React, Next.js, or Django. Demonstrated expertise designing, building, consuming, and troubleshooting APIs and connectors, with familiarity with Model Context Protocol (MCP) desirable. Strong working knowledge of SQL and relational databases Proficiency in Git, testing, debugging, and deployment practices, with the ability to write clear, maintainable, reviewable code. Working knowledge of generative AI architecture and demonstrated experience with large language model integration, including output validation and the limitations of AI-generated results and code. Ability to translate complex business needs into workable technical solutions, exercise sound technical judgment, and explain trade-offs and business objectives clearly to technical and non-technical stakeholders. Strong analytical thinking, organization, documentation, attention to detail, and customer service orientation. Sound judgment when handling confidential information and escalating risks. Intellectual curiosity, adaptability, and the ability to lead projects from start to finish with a high degree of independence, guide junior colleagues, and recognize when to involve senior colleagues on architecture, security, and production readiness. Plusses: Experience with AI-enabled applications, retrieval-augmented generation, agent workflows, or model evaluation. Experience with cloud platforms such as Azure, containers, CI/CD, authentication, role-based access controls, and application monitoring. Experience working in an Agile environment, using tools such as Jira, and conducting stakeholder demos, user acceptance testing, or user training. Education & Experience: Bachelor's degree in Computer Science, Software Engineering, or a related technical field Demonstrated professional experience delivering full-stack applications and integrations, with ownership of projects or workstreams from requirements through deployment and support.
11/14/2026
Full time
Job Description Top tier financial investment firm seeks an AI Engineer who will lead the design, build, and end-to-end delivery of business-facing AI applications and automation across the Firm. As a member of the AI team within Business Technology, the AI Engineer will work directly with front office Investment Profesionals to understand transaction workflows, translate business needs into technical specifications, and own delivery of practical solutions within the Firm's ecosystem, anticipating issues and managing priorities, resources, and timelines. This is a hands-on, full-stack engineering role combining stakeholder engagement, requirements analysis, software development, testing, deployment, and support. The AI Engineer will also contribute to the Firm's internal AI platform by building and maintaining reusable API integrations, Model Context Protocol (MCP) connectors, and workflow components that securely connect AI applications and agents to approved enterprise systems and data. The AI Engineer will lead day-to-day delivery with a high degree of independence, provide technical guidance and mentoring to junior colleagues, and coordinate with Businesses, Data Science, IT, Information Security, Compliance, and external vendors. Key Responsibilities: Partner with Business to lead requirements gathering and documentation; translate workflows into user stories, technical specifications, and acceptance criteria. Evaluate existing tools before recommending a new build. Lead the design and development of full-stack applications, dashboards, and workflow tools, connecting user interfaces, APIs, databases, and approved AI services to support information synthesis and banker productivity. Own the design, build, testing, and maintenance of secure, reusable API integrations and MCP connectors between the Firm's AI platform and approved enterprise systems, data sources, and third-party services. Lead the development and maintenance of reviewed, configurable templates and reusable components so solutions can be adapted across transactions rather than rebuilt for each deal. Guide AI workflow orchestration and contribute to technical planning. Apply and reinforce engineering best practices, including version control, peer code review, automated testing, secure credential management, logging, and technical documentation. Evaluate AI output quality, reliability, latency, and cost. Lead user acceptance testing, user training, and feedback. Work with IT and engineering on approved deployment, monitoring, support handover, and retirement of temporary deal tools. Partner with Information Security and Compliance to identify and review material changes to solutions or enhancements that warrant additional assessment. Required Skills: Strong hands-on software development expertise in Python and JavaScript or TypeScript , with experience building web interfaces and backend services using frameworks such as React, Next.js, or Django. Demonstrated expertise designing, building, consuming, and troubleshooting APIs and connectors, with familiarity with Model Context Protocol (MCP) desirable. Strong working knowledge of SQL and relational databases Proficiency in Git, testing, debugging, and deployment practices, with the ability to write clear, maintainable, reviewable code. Working knowledge of generative AI architecture and demonstrated experience with large language model integration, including output validation and the limitations of AI-generated results and code. Ability to translate complex business needs into workable technical solutions, exercise sound technical judgment, and explain trade-offs and business objectives clearly to technical and non-technical stakeholders. Strong analytical thinking, organization, documentation, attention to detail, and customer service orientation. Sound judgment when handling confidential information and escalating risks. Intellectual curiosity, adaptability, and the ability to lead projects from start to finish with a high degree of independence, guide junior colleagues, and recognize when to involve senior colleagues on architecture, security, and production readiness. Plusses: Experience with AI-enabled applications, retrieval-augmented generation, agent workflows, or model evaluation. Experience with cloud platforms such as Azure, containers, CI/CD, authentication, role-based access controls, and application monitoring. Experience working in an Agile environment, using tools such as Jira, and conducting stakeholder demos, user acceptance testing, or user training. Education & Experience: Bachelor's degree in Computer Science, Software Engineering, or a related technical field Demonstrated professional experience delivering full-stack applications and integrations, with ownership of projects or workstreams from requirements through deployment and support.
Job Description Candidate must already live in Chicago! No exceptions! Senior Full Stack Engineer Contract Position Position Overview We are seeking an experienced Senior Full Stack & Cloud-Native AI Engineer to transform an existing Data Insight proof of concept into a secure, scalable, production-ready enterprise application. The application enables users to explore reporting data, ask contextual follow-up questions, and gain actionable insights supported by verifiable source evidence. In this role, you will design and develop end-to-end application capabilities, including agentic AI workflows, full-stack user experiences, cloud-native services, and enterprise integrations. You will play a critical role in establishing the evaluation, testing, and monitoring frameworks required to ensure the accuracy, reliability, security, and continuous improvement of AI-powered functionality. The ideal candidate combines strong full-stack engineering expertise with hands-on experience developing production-grade AI applications, particularly agentic workflows, retrieval-augmented generation (RAG), and AI evaluation frameworks. Key Responsibilities Agentic AI Application Development Design, develop, and deploy production-grade agentic AI applications using large language models (LLMs), tool calling, structured outputs, and multi-step reasoning workflows. Build intelligent workflows that interpret user intent, maintain conversation context, orchestrate tools and APIs, and support human review when appropriate. Implement prompt engineering, context management, workflow orchestration, and error-handling strategies to improve application reliability and response quality. Integrate retrieval-augmented generation (RAG) capabilities to ground AI-generated responses in trusted enterprise data and source documents. F ull Stack & Cloud-Native Development Develop responsive, user-friendly web applications using Angular and modern front-end development practices. Design and implement scalable backend services and RESTful APIs using C# and .NET. Develop Python-based AI services and agent orchestration components. Integrate application services with existing enterprise reporting platforms, databases, authentication providers, and data-access systems. Build and deploy cloud-native solutions using Microsoft Azure and associated cloud services. Implement secure API integrations, asynchronous processing, and resilient service-to-service communication. AI Evaluation, Testing & Quality Engineering Own the design and implementation of comprehensive evaluation frameworks for AI-powered applications. Collaborate with healthcare domain experts and product owners to curate representative evaluation datasets and define scoring rubrics, quality metrics, and acceptance criteria. Develop automated evaluation processes to assess: Accuracy and relevance of AI-generated answers. Correctness and traceability of supporting evidence. Tool selection, execution, and workflow orchestration. Context retention and multi-turn conversation quality. End-to-end task completion and user experience. Handling of ambiguous, unsupported, and out-of-scope requests. Combine automated evaluation with human review to validate analytical accuracy and domain-specific correctness. Establish regression testing and baseline comparisons to identify quality degradation resulting from changes to models, prompts, datasets, or application code. Integrate AI evaluation suites, automated tests, and quality gates into CI/CD pipelines. Maintain version-controlled prompts, evaluation datasets, test configurations, and performance baselines. Reliability, Security & Production Operations Design resilient execution workflows incorporating timeouts, retries, cancellation, durable state management, and recovery mechanisms. Implement authentication, authorization, and data-access controls across APIs, AI agents, tools, and underlying data sources. Ensure sensitive healthcare and enterprise data is handled securely and in accordance with applicable organizational policies. Establish observability through application logging, distributed tracing, performance monitoring, and error reporting. Monitor production AI quality, response latency, operational costs, and failure rates. Analyze production feedback and failures, convert findings into reproducible test cases, and drive measurable improvements. Optimize application performance, scalability, reliability, and cloud operating costs. Data Engineering & Analytical Integrity Develop and optimize SQL queries, relational data models, and data-access services. Ensure analytical results are accurate, reproducible, and supported by traceable source data. Address data-quality challenges, including missing values, inconsistencies, numerical precision, and aggregation accuracy. Work closely with business stakeholders and healthcare domain experts to validate analytical findings and communicate uncertainty and system limitations. Required Qualifications 8+ years of professional software engineering experience delivering and supporting secure, scalable enterprise applications. Hands-on experience designing and developing agentic AI applications using LLMs, tool calling, structured outputs, prompt engineering, and multi-step workflows. Strong full-stack development experience with Angular, C#/.NET Web APIs, and Python. Practical experience building AI evaluation and quality pipelines, including evaluation datasets, scoring methodologies, automated regression testing, and human-in-the-loop validation. Demonstrated ability to use evaluation results and production feedback to improve AI application quality and reliability. Strong experience with SQL, relational database design, data modeling, and analytical data processing. Experience building and deploying cloud-native applications using Microsoft Azure. Hands-on experience with CI/CD pipelines, automated unit testing, integration testing, and end-to-end testing. Strong understanding of enterprise application security, authentication, authorization, secure API design, and data-access controls. Experience implementing observability, distributed tracing, asynchronous processing, and fault-tolerant application architectures. Strong analytical, problem-solving, communication, and collaboration skills. Ability to work independently and effectively collaborate with engineering teams, product owners, and business/domain experts. Preferred Qualifications Experience implementing retrieval-augmented generation (RAG), including document ingestion, embedding generation, vector search, retrieval strategies, and grounding evaluation. Experience with healthcare analytics, enterprise reporting platforms, or data-intensive applications involving sensitive information. Experience transitioning AI proof-of-concept solutions into production-grade enterprise applications. Familiarity with AI quality metrics, LLM-as-a-judge approaches, semantic evaluation, groundedness assessment, and human evaluation workflows. Experience optimizing AI application performance, model selection, inference latency, token consumption, and cloud operating costs. Familiarity with Azure AI services and enterprise AI application architecture.
11/14/2026
Full time
Job Description Candidate must already live in Chicago! No exceptions! Senior Full Stack Engineer Contract Position Position Overview We are seeking an experienced Senior Full Stack & Cloud-Native AI Engineer to transform an existing Data Insight proof of concept into a secure, scalable, production-ready enterprise application. The application enables users to explore reporting data, ask contextual follow-up questions, and gain actionable insights supported by verifiable source evidence. In this role, you will design and develop end-to-end application capabilities, including agentic AI workflows, full-stack user experiences, cloud-native services, and enterprise integrations. You will play a critical role in establishing the evaluation, testing, and monitoring frameworks required to ensure the accuracy, reliability, security, and continuous improvement of AI-powered functionality. The ideal candidate combines strong full-stack engineering expertise with hands-on experience developing production-grade AI applications, particularly agentic workflows, retrieval-augmented generation (RAG), and AI evaluation frameworks. Key Responsibilities Agentic AI Application Development Design, develop, and deploy production-grade agentic AI applications using large language models (LLMs), tool calling, structured outputs, and multi-step reasoning workflows. Build intelligent workflows that interpret user intent, maintain conversation context, orchestrate tools and APIs, and support human review when appropriate. Implement prompt engineering, context management, workflow orchestration, and error-handling strategies to improve application reliability and response quality. Integrate retrieval-augmented generation (RAG) capabilities to ground AI-generated responses in trusted enterprise data and source documents. F ull Stack & Cloud-Native Development Develop responsive, user-friendly web applications using Angular and modern front-end development practices. Design and implement scalable backend services and RESTful APIs using C# and .NET. Develop Python-based AI services and agent orchestration components. Integrate application services with existing enterprise reporting platforms, databases, authentication providers, and data-access systems. Build and deploy cloud-native solutions using Microsoft Azure and associated cloud services. Implement secure API integrations, asynchronous processing, and resilient service-to-service communication. AI Evaluation, Testing & Quality Engineering Own the design and implementation of comprehensive evaluation frameworks for AI-powered applications. Collaborate with healthcare domain experts and product owners to curate representative evaluation datasets and define scoring rubrics, quality metrics, and acceptance criteria. Develop automated evaluation processes to assess: Accuracy and relevance of AI-generated answers. Correctness and traceability of supporting evidence. Tool selection, execution, and workflow orchestration. Context retention and multi-turn conversation quality. End-to-end task completion and user experience. Handling of ambiguous, unsupported, and out-of-scope requests. Combine automated evaluation with human review to validate analytical accuracy and domain-specific correctness. Establish regression testing and baseline comparisons to identify quality degradation resulting from changes to models, prompts, datasets, or application code. Integrate AI evaluation suites, automated tests, and quality gates into CI/CD pipelines. Maintain version-controlled prompts, evaluation datasets, test configurations, and performance baselines. Reliability, Security & Production Operations Design resilient execution workflows incorporating timeouts, retries, cancellation, durable state management, and recovery mechanisms. Implement authentication, authorization, and data-access controls across APIs, AI agents, tools, and underlying data sources. Ensure sensitive healthcare and enterprise data is handled securely and in accordance with applicable organizational policies. Establish observability through application logging, distributed tracing, performance monitoring, and error reporting. Monitor production AI quality, response latency, operational costs, and failure rates. Analyze production feedback and failures, convert findings into reproducible test cases, and drive measurable improvements. Optimize application performance, scalability, reliability, and cloud operating costs. Data Engineering & Analytical Integrity Develop and optimize SQL queries, relational data models, and data-access services. Ensure analytical results are accurate, reproducible, and supported by traceable source data. Address data-quality challenges, including missing values, inconsistencies, numerical precision, and aggregation accuracy. Work closely with business stakeholders and healthcare domain experts to validate analytical findings and communicate uncertainty and system limitations. Required Qualifications 8+ years of professional software engineering experience delivering and supporting secure, scalable enterprise applications. Hands-on experience designing and developing agentic AI applications using LLMs, tool calling, structured outputs, prompt engineering, and multi-step workflows. Strong full-stack development experience with Angular, C#/.NET Web APIs, and Python. Practical experience building AI evaluation and quality pipelines, including evaluation datasets, scoring methodologies, automated regression testing, and human-in-the-loop validation. Demonstrated ability to use evaluation results and production feedback to improve AI application quality and reliability. Strong experience with SQL, relational database design, data modeling, and analytical data processing. Experience building and deploying cloud-native applications using Microsoft Azure. Hands-on experience with CI/CD pipelines, automated unit testing, integration testing, and end-to-end testing. Strong understanding of enterprise application security, authentication, authorization, secure API design, and data-access controls. Experience implementing observability, distributed tracing, asynchronous processing, and fault-tolerant application architectures. Strong analytical, problem-solving, communication, and collaboration skills. Ability to work independently and effectively collaborate with engineering teams, product owners, and business/domain experts. Preferred Qualifications Experience implementing retrieval-augmented generation (RAG), including document ingestion, embedding generation, vector search, retrieval strategies, and grounding evaluation. Experience with healthcare analytics, enterprise reporting platforms, or data-intensive applications involving sensitive information. Experience transitioning AI proof-of-concept solutions into production-grade enterprise applications. Familiarity with AI quality metrics, LLM-as-a-judge approaches, semantic evaluation, groundedness assessment, and human evaluation workflows. Experience optimizing AI application performance, model selection, inference latency, token consumption, and cloud operating costs. Familiarity with Azure AI services and enterprise AI application architecture.
Job Description Job Description: The DevOps Engineer is responsible for managing and maintaining the global enterprise platforms, maintaining the templates for the monitoring systems, integration to BigPanda, the quality of the alerting into the BigPanda eventing platform, CMDB integration, monitoring Best Practices for AWS cloud. 10 plus years working in Information Technology 4 plus years running production systems on AWS Datadog Experience with site monitoring and log monitoring tools, specifically Datadog.Certified AWS SysOps Administrator a plus. Experience with TypeScript & JavaScript Experience with DynamoDB, S3 and Cognito Good understanding of Serverless and CloudFormation Understanding of best practices for AWS, EC2, Couchbase and monitoring of containers Manages capacity planning, updates, upgrades and internal integration. Responsible for administration of monitoring tools in the APM space Coordinates with DevOps, Problem Management, etc escalations to support monitoring Manages uptime and availability and reporting Mentor, educate, and train support personnel on how to use tools Maintains knowledge on current technology by reading technology periodicals, evaluating new technologies and attending trade-shows, technical seminars and training sessions. Performs other duties as assigned and required. Duties and responsibilities may change from time to time without notice and include but are not limited to the duties described above Required Qualifications - Knowledge/Skills: Manage monitoring of overall application availability, latency and system health Determine alert standards for production environments and implement them Develop strategies for logging and indexing to improve visibility to development teams Develop and manage configuration scripts for Amazon hosted infrastructure Work with the development team and management to ensure high availability Familiarity with configuration management software such as Ansible Build reporting dashboards to assist visibility of cost and stability Provide support to teams for alarms and outages on an as-needed basis Experience with Windows Server, IIS, Docker/Kubernetes Strong understanding of systems, networks and troubleshooting techniques. Experience in automated build pipeline, and continuous integration. Source control, branching, and merging: git/svn/etc (Repository Management) Communication Skills- The ability to communicate verbally and in writing with all levels of employees and management, speaks and writes clearly and understandably at the right level. Integrity and Trust- Involves being widely trusted, being seen as a direct, truthful individual, can present the unvarnished truth in an appropriate and helpful manner, keeps confidences, admits mistakes, and doesn?t misrepresent him/herself for personal gain. Teamwork- Works well in a collaborative setting, volunteering for and completing assignments, acting as a positive team member by contributing to discussions, developing and maintaining relations. Technical Expertise- A commitment to increasing knowledge and skills in current technical/functional area, keeping up to date on technical developments, staying informed as to industry practices, knowing how to apply relevant technical processes to appropriate business needs. Top Skill Set / Job Characteristics: Senior-level AWS production support and engineering experience: 7 plus years of hands-on DevOps, SRE, platform engineering, or cloud infrastructure experience, including at least 5 plus years supporting, troubleshooting, and improving production workloads on AWS. Must be able to independently diagnose complex issues, lead root-cause analysis, and drive reliable solutions across services such as ECS, EKS, S3, Lambda, DocumentDB, DynamoDB, IAM, networking, logging, and monitoring. Preferred certification: AWS Certified DevOps Engineer - Professional or AWS Certified Solutions Architect - Professional. Associate-level certification may be considered with strong hands-on senior experience. Advanced Terraform and infrastructure-as-code experience: 5 plus years designing, developing, debugging, and maintaining Terraform-based infrastructure for AWS at enterprise scale. Candidate should be comfortable building reusable modules, managing remote state, reviewing plans, troubleshooting drift, and applying change automation safely across non-production and production environments. Must have direct experience provisioning and managing AWS infrastructure using Terraform, not only consuming prebuilt modules. Expected to contribute to module design, code reviews, standards, documentation, and reusable patterns for services such as EKS, ECS, EC2, S3, IAM, networking, and supporting AWS services. Strong understanding of Terraform execution plans, state management, resource dependencies, module versioning, policy controls, and promotion of infrastructure changes through controlled environments. Experience with automated validation, testing, and CI/CD integration for infrastructure changes is strongly preferred. Container platform and Kubernetes/EKS depth: 5 plus years of experience with containerized workloads and 3 plus years of hands-on Kubernetes or Amazon EKS experience in production environments. Candidate should understand cluster operations, workload deployment, Helm, kubectl, autoscaling, networking, IAM/RBAC integration, troubleshooting, and platform reliability patterns. Manage and maintain Helm charts and Kubernetes manifests for repeatable application and platform deployments. Lead or significantly contribute to production deployments, upgrades, incident resolution, and operational support for Kubernetes/EKS-based platforms. Demonstrated experience deploying and troubleshooting distributed applications using Docker, ECS, Kubernetes, or EKS, including service discovery, ingress/load balancing, network policies, and logging/monitoring integration. Experience with GitOps or CI/CD-driven deployment patterns, including GitHub Actions, GitLab CI, Jenkins, Harness, Argo CD, Flux, or similar tooling. Preferred certification: Certified Kubernetes Administrator, Certified Kubernetes Application Developer, or equivalent hands-on container platform experience.
11/14/2026
Full time
Job Description Job Description: The DevOps Engineer is responsible for managing and maintaining the global enterprise platforms, maintaining the templates for the monitoring systems, integration to BigPanda, the quality of the alerting into the BigPanda eventing platform, CMDB integration, monitoring Best Practices for AWS cloud. 10 plus years working in Information Technology 4 plus years running production systems on AWS Datadog Experience with site monitoring and log monitoring tools, specifically Datadog.Certified AWS SysOps Administrator a plus. Experience with TypeScript & JavaScript Experience with DynamoDB, S3 and Cognito Good understanding of Serverless and CloudFormation Understanding of best practices for AWS, EC2, Couchbase and monitoring of containers Manages capacity planning, updates, upgrades and internal integration. Responsible for administration of monitoring tools in the APM space Coordinates with DevOps, Problem Management, etc escalations to support monitoring Manages uptime and availability and reporting Mentor, educate, and train support personnel on how to use tools Maintains knowledge on current technology by reading technology periodicals, evaluating new technologies and attending trade-shows, technical seminars and training sessions. Performs other duties as assigned and required. Duties and responsibilities may change from time to time without notice and include but are not limited to the duties described above Required Qualifications - Knowledge/Skills: Manage monitoring of overall application availability, latency and system health Determine alert standards for production environments and implement them Develop strategies for logging and indexing to improve visibility to development teams Develop and manage configuration scripts for Amazon hosted infrastructure Work with the development team and management to ensure high availability Familiarity with configuration management software such as Ansible Build reporting dashboards to assist visibility of cost and stability Provide support to teams for alarms and outages on an as-needed basis Experience with Windows Server, IIS, Docker/Kubernetes Strong understanding of systems, networks and troubleshooting techniques. Experience in automated build pipeline, and continuous integration. Source control, branching, and merging: git/svn/etc (Repository Management) Communication Skills- The ability to communicate verbally and in writing with all levels of employees and management, speaks and writes clearly and understandably at the right level. Integrity and Trust- Involves being widely trusted, being seen as a direct, truthful individual, can present the unvarnished truth in an appropriate and helpful manner, keeps confidences, admits mistakes, and doesn?t misrepresent him/herself for personal gain. Teamwork- Works well in a collaborative setting, volunteering for and completing assignments, acting as a positive team member by contributing to discussions, developing and maintaining relations. Technical Expertise- A commitment to increasing knowledge and skills in current technical/functional area, keeping up to date on technical developments, staying informed as to industry practices, knowing how to apply relevant technical processes to appropriate business needs. Top Skill Set / Job Characteristics: Senior-level AWS production support and engineering experience: 7 plus years of hands-on DevOps, SRE, platform engineering, or cloud infrastructure experience, including at least 5 plus years supporting, troubleshooting, and improving production workloads on AWS. Must be able to independently diagnose complex issues, lead root-cause analysis, and drive reliable solutions across services such as ECS, EKS, S3, Lambda, DocumentDB, DynamoDB, IAM, networking, logging, and monitoring. Preferred certification: AWS Certified DevOps Engineer - Professional or AWS Certified Solutions Architect - Professional. Associate-level certification may be considered with strong hands-on senior experience. Advanced Terraform and infrastructure-as-code experience: 5 plus years designing, developing, debugging, and maintaining Terraform-based infrastructure for AWS at enterprise scale. Candidate should be comfortable building reusable modules, managing remote state, reviewing plans, troubleshooting drift, and applying change automation safely across non-production and production environments. Must have direct experience provisioning and managing AWS infrastructure using Terraform, not only consuming prebuilt modules. Expected to contribute to module design, code reviews, standards, documentation, and reusable patterns for services such as EKS, ECS, EC2, S3, IAM, networking, and supporting AWS services. Strong understanding of Terraform execution plans, state management, resource dependencies, module versioning, policy controls, and promotion of infrastructure changes through controlled environments. Experience with automated validation, testing, and CI/CD integration for infrastructure changes is strongly preferred. Container platform and Kubernetes/EKS depth: 5 plus years of experience with containerized workloads and 3 plus years of hands-on Kubernetes or Amazon EKS experience in production environments. Candidate should understand cluster operations, workload deployment, Helm, kubectl, autoscaling, networking, IAM/RBAC integration, troubleshooting, and platform reliability patterns. Manage and maintain Helm charts and Kubernetes manifests for repeatable application and platform deployments. Lead or significantly contribute to production deployments, upgrades, incident resolution, and operational support for Kubernetes/EKS-based platforms. Demonstrated experience deploying and troubleshooting distributed applications using Docker, ECS, Kubernetes, or EKS, including service discovery, ingress/load balancing, network policies, and logging/monitoring integration. Experience with GitOps or CI/CD-driven deployment patterns, including GitHub Actions, GitLab CI, Jenkins, Harness, Argo CD, Flux, or similar tooling. Preferred certification: Certified Kubernetes Administrator, Certified Kubernetes Application Developer, or equivalent hands-on container platform experience.
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities As a Senior Software Engineer II on the Fleet Management Unified Deployment team, you will play a key role in building and evolving the systems that manage the lifecycle of Confluent software across Confluent Cloud. Our platform orchestrates deployment, upgrades, recovery, and operational management across thousands of environments globally and across all major cloud providers, providing a unified control plane for safe, scalable, and consistent service operations. You'll work on critical systems including: • Unified Deployment Control Plane: Build and evolve the control plane that manages software rollout, upgrades, recovery, and lifecycle operations across large multi-cloud fleets. • Fleet Lifecycle Orchestration: Develop systems that coordinate placement, maintenance, state transitions, and recovery workflows for services running across Confluent Cloud. • Platform APIs & Abstractions: Design and enhance APIs that provide clean abstractions for deployment workflows, service lifecycle management, and fleet-wide operational controls. • Cloud Platform Integration: Build and optimize integrations with the broader Confluent Cloud platform to enable seamless end-to-end operations across AWS, GCP, and Azure. • Multi-Tenancy & Security: Implement and strengthen isolation, security controls, and safe operational boundaries across deployment and runtime management systems. • Observability & Operations: Drive operational excellence through monitoring, automated health checks, remediation workflows, and self-healing capabilities. This job can be performed from anywhere in the US Required Skills • 6+ years of experience delivering scalable software solutions. • Deep expertise in Kubernetes, including controller development, operator patterns, and multi-cluster architectures. • Strong proficiency in Go, with experience building production-grade backend or platform services. • Experience with fleet-wide lifecycle management, deployment orchestration, or cloud infrastructure automation. • Experience running production services in cloud environments, with strong knowledge of reliability, networking, and security fundamentals. • Proven ability to independently own significant technical projects and collaborate effectively across teams. Preferred Skills • Experience with multi-tenant platform architectures and security isolation patterns. • Familiarity with gRPC, Protobuf, and API design for internal platform services. • Demonstrated track record of mentorship and technical leadership. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
11/14/2026
Full time
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities As a Senior Software Engineer II on the Fleet Management Unified Deployment team, you will play a key role in building and evolving the systems that manage the lifecycle of Confluent software across Confluent Cloud. Our platform orchestrates deployment, upgrades, recovery, and operational management across thousands of environments globally and across all major cloud providers, providing a unified control plane for safe, scalable, and consistent service operations. You'll work on critical systems including: • Unified Deployment Control Plane: Build and evolve the control plane that manages software rollout, upgrades, recovery, and lifecycle operations across large multi-cloud fleets. • Fleet Lifecycle Orchestration: Develop systems that coordinate placement, maintenance, state transitions, and recovery workflows for services running across Confluent Cloud. • Platform APIs & Abstractions: Design and enhance APIs that provide clean abstractions for deployment workflows, service lifecycle management, and fleet-wide operational controls. • Cloud Platform Integration: Build and optimize integrations with the broader Confluent Cloud platform to enable seamless end-to-end operations across AWS, GCP, and Azure. • Multi-Tenancy & Security: Implement and strengthen isolation, security controls, and safe operational boundaries across deployment and runtime management systems. • Observability & Operations: Drive operational excellence through monitoring, automated health checks, remediation workflows, and self-healing capabilities. This job can be performed from anywhere in the US Required Skills • 6+ years of experience delivering scalable software solutions. • Deep expertise in Kubernetes, including controller development, operator patterns, and multi-cluster architectures. • Strong proficiency in Go, with experience building production-grade backend or platform services. • Experience with fleet-wide lifecycle management, deployment orchestration, or cloud infrastructure automation. • Experience running production services in cloud environments, with strong knowledge of reliability, networking, and security fundamentals. • Proven ability to independently own significant technical projects and collaborate effectively across teams. Preferred Skills • Experience with multi-tenant platform architectures and security isolation patterns. • Familiarity with gRPC, Protobuf, and API design for internal platform services. • Demonstrated track record of mentorship and technical leadership. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities As a Senior Software Engineer II on the Fleet Management Unified Deployment team, you will play a key role in building and evolving the systems that manage the lifecycle of Confluent software across Confluent Cloud. Our platform orchestrates deployment, upgrades, recovery, and operational management across thousands of environments globally and across all major cloud providers, providing a unified control plane for safe, scalable, and consistent service operations. You'll work on critical systems including: • Unified Deployment Control Plane: Build and evolve the control plane that manages software rollout, upgrades, recovery, and lifecycle operations across large multi-cloud fleets. • Fleet Lifecycle Orchestration: Develop systems that coordinate placement, maintenance, state transitions, and recovery workflows for services running across Confluent Cloud. • Platform APIs & Abstractions: Design and enhance APIs that provide clean abstractions for deployment workflows, service lifecycle management, and fleet-wide operational controls. • Cloud Platform Integration: Build and optimize integrations with the broader Confluent Cloud platform to enable seamless end-to-end operations across AWS, GCP, and Azure. • Multi-Tenancy & Security: Implement and strengthen isolation, security controls, and safe operational boundaries across deployment and runtime management systems. • Observability & Operations: Drive operational excellence through monitoring, automated health checks, remediation workflows, and self-healing capabilities. This job can be performed from anywhere in the US Required Skills • 6+ years of experience delivering scalable software solutions. • Deep expertise in Kubernetes, including controller development, operator patterns, and multi-cluster architectures. • Strong proficiency in Go, with experience building production-grade backend or platform services. • Experience with fleet-wide lifecycle management, deployment orchestration, or cloud infrastructure automation. • Experience running production services in cloud environments, with strong knowledge of reliability, networking, and security fundamentals. • Proven ability to independently own significant technical projects and collaborate effectively across teams. Preferred Skills • Experience with multi-tenant platform architectures and security isolation patterns. • Familiarity with gRPC, Protobuf, and API design for internal platform services. • Demonstrated track record of mentorship and technical leadership. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
11/14/2026
Full time
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities As a Senior Software Engineer II on the Fleet Management Unified Deployment team, you will play a key role in building and evolving the systems that manage the lifecycle of Confluent software across Confluent Cloud. Our platform orchestrates deployment, upgrades, recovery, and operational management across thousands of environments globally and across all major cloud providers, providing a unified control plane for safe, scalable, and consistent service operations. You'll work on critical systems including: • Unified Deployment Control Plane: Build and evolve the control plane that manages software rollout, upgrades, recovery, and lifecycle operations across large multi-cloud fleets. • Fleet Lifecycle Orchestration: Develop systems that coordinate placement, maintenance, state transitions, and recovery workflows for services running across Confluent Cloud. • Platform APIs & Abstractions: Design and enhance APIs that provide clean abstractions for deployment workflows, service lifecycle management, and fleet-wide operational controls. • Cloud Platform Integration: Build and optimize integrations with the broader Confluent Cloud platform to enable seamless end-to-end operations across AWS, GCP, and Azure. • Multi-Tenancy & Security: Implement and strengthen isolation, security controls, and safe operational boundaries across deployment and runtime management systems. • Observability & Operations: Drive operational excellence through monitoring, automated health checks, remediation workflows, and self-healing capabilities. This job can be performed from anywhere in the US Required Skills • 6+ years of experience delivering scalable software solutions. • Deep expertise in Kubernetes, including controller development, operator patterns, and multi-cluster architectures. • Strong proficiency in Go, with experience building production-grade backend or platform services. • Experience with fleet-wide lifecycle management, deployment orchestration, or cloud infrastructure automation. • Experience running production services in cloud environments, with strong knowledge of reliability, networking, and security fundamentals. • Proven ability to independently own significant technical projects and collaborate effectively across teams. Preferred Skills • Experience with multi-tenant platform architectures and security isolation patterns. • Familiarity with gRPC, Protobuf, and API design for internal platform services. • Demonstrated track record of mentorship and technical leadership. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities As a Senior Software Engineer II on the Fleet Management Unified Deployment team, you will play a key role in building and evolving the systems that manage the lifecycle of Confluent software across Confluent Cloud. Our platform orchestrates deployment, upgrades, recovery, and operational management across thousands of environments globally and across all major cloud providers, providing a unified control plane for safe, scalable, and consistent service operations. You'll work on critical systems including: • Unified Deployment Control Plane: Build and evolve the control plane that manages software rollout, upgrades, recovery, and lifecycle operations across large multi-cloud fleets. • Fleet Lifecycle Orchestration: Develop systems that coordinate placement, maintenance, state transitions, and recovery workflows for services running across Confluent Cloud. • Platform APIs & Abstractions: Design and enhance APIs that provide clean abstractions for deployment workflows, service lifecycle management, and fleet-wide operational controls. • Cloud Platform Integration: Build and optimize integrations with the broader Confluent Cloud platform to enable seamless end-to-end operations across AWS, GCP, and Azure. • Multi-Tenancy & Security: Implement and strengthen isolation, security controls, and safe operational boundaries across deployment and runtime management systems. • Observability & Operations: Drive operational excellence through monitoring, automated health checks, remediation workflows, and self-healing capabilities. This job can be performed from anywhere in the US Required Skills • 6+ years of experience delivering scalable software solutions. • Deep expertise in Kubernetes, including controller development, operator patterns, and multi-cluster architectures. • Strong proficiency in Go, with experience building production-grade backend or platform services. • Experience with fleet-wide lifecycle management, deployment orchestration, or cloud infrastructure automation. • Experience running production services in cloud environments, with strong knowledge of reliability, networking, and security fundamentals. • Proven ability to independently own significant technical projects and collaborate effectively across teams. Preferred Skills • Experience with multi-tenant platform architectures and security isolation patterns. • Familiarity with gRPC, Protobuf, and API design for internal platform services. • Demonstrated track record of mentorship and technical leadership. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
11/14/2026
Full time
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities As a Senior Software Engineer II on the Fleet Management Unified Deployment team, you will play a key role in building and evolving the systems that manage the lifecycle of Confluent software across Confluent Cloud. Our platform orchestrates deployment, upgrades, recovery, and operational management across thousands of environments globally and across all major cloud providers, providing a unified control plane for safe, scalable, and consistent service operations. You'll work on critical systems including: • Unified Deployment Control Plane: Build and evolve the control plane that manages software rollout, upgrades, recovery, and lifecycle operations across large multi-cloud fleets. • Fleet Lifecycle Orchestration: Develop systems that coordinate placement, maintenance, state transitions, and recovery workflows for services running across Confluent Cloud. • Platform APIs & Abstractions: Design and enhance APIs that provide clean abstractions for deployment workflows, service lifecycle management, and fleet-wide operational controls. • Cloud Platform Integration: Build and optimize integrations with the broader Confluent Cloud platform to enable seamless end-to-end operations across AWS, GCP, and Azure. • Multi-Tenancy & Security: Implement and strengthen isolation, security controls, and safe operational boundaries across deployment and runtime management systems. • Observability & Operations: Drive operational excellence through monitoring, automated health checks, remediation workflows, and self-healing capabilities. This job can be performed from anywhere in the US Required Skills • 6+ years of experience delivering scalable software solutions. • Deep expertise in Kubernetes, including controller development, operator patterns, and multi-cluster architectures. • Strong proficiency in Go, with experience building production-grade backend or platform services. • Experience with fleet-wide lifecycle management, deployment orchestration, or cloud infrastructure automation. • Experience running production services in cloud environments, with strong knowledge of reliability, networking, and security fundamentals. • Proven ability to independently own significant technical projects and collaborate effectively across teams. Preferred Skills • Experience with multi-tenant platform architectures and security isolation patterns. • Familiarity with gRPC, Protobuf, and API design for internal platform services. • Demonstrated track record of mentorship and technical leadership. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
