Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity Join USAA as a Mid-Level Software Engineer and contribute to the critical Experience Intelligence initiative, focused on enhancing member experience insights. In this role, you will apply your solid foundation in software development, troubleshooting, and observability to build and maintain essential platforms. You'll work within dynamic, distributed systems, utilizing telemetry and observability to uncover valuable business and operational data. This is a great opportunity to grow your skills in root cause analysis and cloud-based system management within a collaborative team environment. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, or Phoenix, AZ. Relocation assistance is not available for this position. What you'll do: Design, develop, code, and test complex technical solutions Investigates and resolves complex application and system technical problems and production issues through troubleshooting techniques. Continually improves operations by conducting complex systems analysis and recommending changes in policies and procedures. Prepares and installs complex solutions by determining and designing system specifications, standards, and programming. Follows the software development lifecycle. Participates in design reviews and learns key system design principles. Mentors junior engineers and may begin mentoring peer engineers; Review teammates' code. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's Degree or 4 additional years of experience beyond the minimum requirement can be used in lieu of a degree OR Approved certification from CodeUp, Galvanize, VetFIT (Veterans for IT) or eFIT (Employees for IT). 4 years of software development experience demonstrating depth of technical understanding within a specific discipline(s)/technology(s). 2 years of experience delivering technology solutions in all phases of the software systems and application development lifecycle to include leading code/design reviews. Basic Understanding of one or more of the following: Java, Swift, Objective-C, Cobol, JavaScript, Kotlin, C++, HTML, CSS, SQL, Go, and Python Developing level of business acumen in the areas of business operations, risk management, industry practices and emerging trends. Experience supporting efforts to address production issues through troubleshooting applications and systems. Experience articulating technical challenges and solutions. Basic understanding of cloud technologies and tools. What sets you apart: Deep Expertise in Software Development: Proven ability to design, build, and maintain complex software platforms, with a strong foundation in coding languages such as Python, Go, and Java. Root Cause Analysis (RCA) and Observability Engineering: Demonstrated experience in identifying the root causes of issues through systematic debugging, log analysis, and performance profiling, and leveraging observability platforms (e.g., Datadog, Elastic) to ensure system health and performance. Cloud Computing Proficiency (AWS Focus): Strong understanding and practical experience with core AWS services (EC2, S3, Lambda, DynamoDB), and familiarity with deploying and managing applications in both public and private cloud environments. Experience with AWS Bedrock and Bedrock Agents is a plus. Data Management and Database Skills: Mastery of SQL, including complex joins, indexing, and query optimization. Proficient in data modeling, schema design, and performance tuning of databases. Agile Development and Collaboration: Experience working effectively in agile environments, collaborating closely with architects, product owners, scrum masters, and other team members to deliver high-quality software components. Complex Distributed Systems Experience: Ability to thrive in and manage complex, distributed systems, understanding the interplay of business and operational telemetry to derive real-time insights. Compensation range: The salary range for this position is: $93,770.00 - $179,240.00. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
04/04/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity Join USAA as a Mid-Level Software Engineer and contribute to the critical Experience Intelligence initiative, focused on enhancing member experience insights. In this role, you will apply your solid foundation in software development, troubleshooting, and observability to build and maintain essential platforms. You'll work within dynamic, distributed systems, utilizing telemetry and observability to uncover valuable business and operational data. This is a great opportunity to grow your skills in root cause analysis and cloud-based system management within a collaborative team environment. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, or Phoenix, AZ. Relocation assistance is not available for this position. What you'll do: Design, develop, code, and test complex technical solutions Investigates and resolves complex application and system technical problems and production issues through troubleshooting techniques. Continually improves operations by conducting complex systems analysis and recommending changes in policies and procedures. Prepares and installs complex solutions by determining and designing system specifications, standards, and programming. Follows the software development lifecycle. Participates in design reviews and learns key system design principles. Mentors junior engineers and may begin mentoring peer engineers; Review teammates' code. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's Degree or 4 additional years of experience beyond the minimum requirement can be used in lieu of a degree OR Approved certification from CodeUp, Galvanize, VetFIT (Veterans for IT) or eFIT (Employees for IT). 4 years of software development experience demonstrating depth of technical understanding within a specific discipline(s)/technology(s). 2 years of experience delivering technology solutions in all phases of the software systems and application development lifecycle to include leading code/design reviews. Basic Understanding of one or more of the following: Java, Swift, Objective-C, Cobol, JavaScript, Kotlin, C++, HTML, CSS, SQL, Go, and Python Developing level of business acumen in the areas of business operations, risk management, industry practices and emerging trends. Experience supporting efforts to address production issues through troubleshooting applications and systems. Experience articulating technical challenges and solutions. Basic understanding of cloud technologies and tools. What sets you apart: Deep Expertise in Software Development: Proven ability to design, build, and maintain complex software platforms, with a strong foundation in coding languages such as Python, Go, and Java. Root Cause Analysis (RCA) and Observability Engineering: Demonstrated experience in identifying the root causes of issues through systematic debugging, log analysis, and performance profiling, and leveraging observability platforms (e.g., Datadog, Elastic) to ensure system health and performance. Cloud Computing Proficiency (AWS Focus): Strong understanding and practical experience with core AWS services (EC2, S3, Lambda, DynamoDB), and familiarity with deploying and managing applications in both public and private cloud environments. Experience with AWS Bedrock and Bedrock Agents is a plus. Data Management and Database Skills: Mastery of SQL, including complex joins, indexing, and query optimization. Proficient in data modeling, schema design, and performance tuning of databases. Agile Development and Collaboration: Experience working effectively in agile environments, collaborating closely with architects, product owners, scrum masters, and other team members to deliver high-quality software components. Complex Distributed Systems Experience: Ability to thrive in and manage complex, distributed systems, understanding the interplay of business and operational telemetry to derive real-time insights. Compensation range: The salary range for this position is: $93,770.00 - $179,240.00. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity Join USAA as a Mid-Level Software Engineer and contribute to the critical Experience Intelligence initiative, focused on enhancing member experience insights. In this role, you will apply your solid foundation in software development, troubleshooting, and observability to build and maintain essential platforms. You'll work within dynamic, distributed systems, utilizing telemetry and observability to uncover valuable business and operational data. This is a great opportunity to grow your skills in root cause analysis and cloud-based system management within a collaborative team environment. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, or Phoenix, AZ. Relocation assistance is not available for this position. What you'll do: Design, develop, code, and test complex technical solutions Investigates and resolves complex application and system technical problems and production issues through troubleshooting techniques. Continually improves operations by conducting complex systems analysis and recommending changes in policies and procedures. Prepares and installs complex solutions by determining and designing system specifications, standards, and programming. Follows the software development lifecycle. Participates in design reviews and learns key system design principles. Mentors junior engineers and may begin mentoring peer engineers; Review teammates' code. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's Degree or 4 additional years of experience beyond the minimum requirement can be used in lieu of a degree OR Approved certification from CodeUp, Galvanize, VetFIT (Veterans for IT) or eFIT (Employees for IT). 4 years of software development experience demonstrating depth of technical understanding within a specific discipline(s)/technology(s). 2 years of experience delivering technology solutions in all phases of the software systems and application development lifecycle to include leading code/design reviews. Basic Understanding of one or more of the following: Java, Swift, Objective-C, Cobol, JavaScript, Kotlin, C++, HTML, CSS, SQL, Go, and Python Developing level of business acumen in the areas of business operations, risk management, industry practices and emerging trends. Experience supporting efforts to address production issues through troubleshooting applications and systems. Experience articulating technical challenges and solutions. Basic understanding of cloud technologies and tools. What sets you apart: Deep Expertise in Software Development: Proven ability to design, build, and maintain complex software platforms, with a strong foundation in coding languages such as Python, Go, and Java. Root Cause Analysis (RCA) and Observability Engineering: Demonstrated experience in identifying the root causes of issues through systematic debugging, log analysis, and performance profiling, and leveraging observability platforms (e.g., Datadog, Elastic) to ensure system health and performance. Cloud Computing Proficiency (AWS Focus): Strong understanding and practical experience with core AWS services (EC2, S3, Lambda, DynamoDB), and familiarity with deploying and managing applications in both public and private cloud environments. Experience with AWS Bedrock and Bedrock Agents is a plus. Data Management and Database Skills: Mastery of SQL, including complex joins, indexing, and query optimization. Proficient in data modeling, schema design, and performance tuning of databases. Agile Development and Collaboration: Experience working effectively in agile environments, collaborating closely with architects, product owners, scrum masters, and other team members to deliver high-quality software components. Complex Distributed Systems Experience: Ability to thrive in and manage complex, distributed systems, understanding the interplay of business and operational telemetry to derive real-time insights. Compensation range: The salary range for this position is: $93,770.00 - $179,240.00. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
04/04/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity Join USAA as a Mid-Level Software Engineer and contribute to the critical Experience Intelligence initiative, focused on enhancing member experience insights. In this role, you will apply your solid foundation in software development, troubleshooting, and observability to build and maintain essential platforms. You'll work within dynamic, distributed systems, utilizing telemetry and observability to uncover valuable business and operational data. This is a great opportunity to grow your skills in root cause analysis and cloud-based system management within a collaborative team environment. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, or Phoenix, AZ. Relocation assistance is not available for this position. What you'll do: Design, develop, code, and test complex technical solutions Investigates and resolves complex application and system technical problems and production issues through troubleshooting techniques. Continually improves operations by conducting complex systems analysis and recommending changes in policies and procedures. Prepares and installs complex solutions by determining and designing system specifications, standards, and programming. Follows the software development lifecycle. Participates in design reviews and learns key system design principles. Mentors junior engineers and may begin mentoring peer engineers; Review teammates' code. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's Degree or 4 additional years of experience beyond the minimum requirement can be used in lieu of a degree OR Approved certification from CodeUp, Galvanize, VetFIT (Veterans for IT) or eFIT (Employees for IT). 4 years of software development experience demonstrating depth of technical understanding within a specific discipline(s)/technology(s). 2 years of experience delivering technology solutions in all phases of the software systems and application development lifecycle to include leading code/design reviews. Basic Understanding of one or more of the following: Java, Swift, Objective-C, Cobol, JavaScript, Kotlin, C++, HTML, CSS, SQL, Go, and Python Developing level of business acumen in the areas of business operations, risk management, industry practices and emerging trends. Experience supporting efforts to address production issues through troubleshooting applications and systems. Experience articulating technical challenges and solutions. Basic understanding of cloud technologies and tools. What sets you apart: Deep Expertise in Software Development: Proven ability to design, build, and maintain complex software platforms, with a strong foundation in coding languages such as Python, Go, and Java. Root Cause Analysis (RCA) and Observability Engineering: Demonstrated experience in identifying the root causes of issues through systematic debugging, log analysis, and performance profiling, and leveraging observability platforms (e.g., Datadog, Elastic) to ensure system health and performance. Cloud Computing Proficiency (AWS Focus): Strong understanding and practical experience with core AWS services (EC2, S3, Lambda, DynamoDB), and familiarity with deploying and managing applications in both public and private cloud environments. Experience with AWS Bedrock and Bedrock Agents is a plus. Data Management and Database Skills: Mastery of SQL, including complex joins, indexing, and query optimization. Proficient in data modeling, schema design, and performance tuning of databases. Agile Development and Collaboration: Experience working effectively in agile environments, collaborating closely with architects, product owners, scrum masters, and other team members to deliver high-quality software components. Complex Distributed Systems Experience: Ability to thrive in and manage complex, distributed systems, understanding the interplay of business and operational telemetry to derive real-time insights. Compensation range: The salary range for this position is: $93,770.00 - $179,240.00. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Job Summary: We are looking for a detail-oriented and technically skilled GCP Data Integration Engineer to design, develop, and manage robust data integration solutions. The ideal candidate will have hands-on experience in integrating data across disparate systems, building ETL/ELT pipelines, and ensuring the accuracy, quality, and consistency of enterprise data. You will play a key role in enabling seamless data flow between systems to support business intelligence, analytics, and operational needs. Key Responsibilities: Integration Design & Development Design and implement data integration workflows between internal and external systems, including APIs, databases, SaaS applications, and cloud platforms. Develop and maintain scalable ETL/ELT pipelines for structured and unstructured data using tools like Informatica, Talend, SSIS, Apache NiFi, or custom Python/SQL scripts. Build and manage real-time and batch data pipelines leveraging technologies like Kafka, Spark Streaming,. Data Quality & Governance Ensure high data quality, accuracy, and consistency during data ingestion and transformation. Implement data validation, cleansing, deduplication, and monitoring mechanisms. Contribute to metadata management, data lineage, and data catalog initiatives. Collaboration & Troubleshooting Collaborate with data engineers, business analysts, data scientists, and application teams to understand integration needs and deliver effective solutions. Troubleshoot and resolve data integration and pipeline issues in a timely manner. Provide documentation and knowledge transfer for developed solutions. Platform & Infrastructure Support Support data movement across hybrid environments (on-prem, cloud, third-party systems). Work with DevOps or platform teams to ensure scalability, security, and performance of data integration infrastructure. Qualifications: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field. 4-8 years of experience in data integration, data engineering, with strong ETL and SQL. Strong experience with integration tools such as Informatica, Talend, MuleSoft, SSIS, or Boomi. Proficient in SQL, Python, and scripting for data manipulation and automation. Experience with cloud data platforms (GCP) and services such as Google Cloud Dataflow. Familiarity with REST/SOAP APIs, JSON, XML , and flat file integrations. Preferred Skills: Experience with message queues or data streaming platforms (Kafka, RabbitMQ, Kinesis). Understanding of data warehousing concepts and tools (e.g., Snowflake, Redshift, BigQuery). Knowledge of data security, privacy, and compliance best practices (HIPAA, GDPR, etc.). Prior experience in industries like healthcare, fintech, or e-commerce is a plus. Soft Skills: Strong problem-solving and debugging skills. Excellent communication and collaboration abilities. Ability to manage multiple priorities and deliver in a fast-paced environment. Attention to detail and a commitment to delivering high-quality work. Seniority Level Mid-Senior level Industry IT System Data Services Employment Type Full-time Job Functions Health Care Provider Skills Representational State Transfer (REST) Software as a Service (SaaS) Google Cloud Platform
04/04/2026
Full time
Job Summary: We are looking for a detail-oriented and technically skilled GCP Data Integration Engineer to design, develop, and manage robust data integration solutions. The ideal candidate will have hands-on experience in integrating data across disparate systems, building ETL/ELT pipelines, and ensuring the accuracy, quality, and consistency of enterprise data. You will play a key role in enabling seamless data flow between systems to support business intelligence, analytics, and operational needs. Key Responsibilities: Integration Design & Development Design and implement data integration workflows between internal and external systems, including APIs, databases, SaaS applications, and cloud platforms. Develop and maintain scalable ETL/ELT pipelines for structured and unstructured data using tools like Informatica, Talend, SSIS, Apache NiFi, or custom Python/SQL scripts. Build and manage real-time and batch data pipelines leveraging technologies like Kafka, Spark Streaming,. Data Quality & Governance Ensure high data quality, accuracy, and consistency during data ingestion and transformation. Implement data validation, cleansing, deduplication, and monitoring mechanisms. Contribute to metadata management, data lineage, and data catalog initiatives. Collaboration & Troubleshooting Collaborate with data engineers, business analysts, data scientists, and application teams to understand integration needs and deliver effective solutions. Troubleshoot and resolve data integration and pipeline issues in a timely manner. Provide documentation and knowledge transfer for developed solutions. Platform & Infrastructure Support Support data movement across hybrid environments (on-prem, cloud, third-party systems). Work with DevOps or platform teams to ensure scalability, security, and performance of data integration infrastructure. Qualifications: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field. 4-8 years of experience in data integration, data engineering, with strong ETL and SQL. Strong experience with integration tools such as Informatica, Talend, MuleSoft, SSIS, or Boomi. Proficient in SQL, Python, and scripting for data manipulation and automation. Experience with cloud data platforms (GCP) and services such as Google Cloud Dataflow. Familiarity with REST/SOAP APIs, JSON, XML , and flat file integrations. Preferred Skills: Experience with message queues or data streaming platforms (Kafka, RabbitMQ, Kinesis). Understanding of data warehousing concepts and tools (e.g., Snowflake, Redshift, BigQuery). Knowledge of data security, privacy, and compliance best practices (HIPAA, GDPR, etc.). Prior experience in industries like healthcare, fintech, or e-commerce is a plus. Soft Skills: Strong problem-solving and debugging skills. Excellent communication and collaboration abilities. Ability to manage multiple priorities and deliver in a fast-paced environment. Attention to detail and a commitment to delivering high-quality work. Seniority Level Mid-Senior level Industry IT System Data Services Employment Type Full-time Job Functions Health Care Provider Skills Representational State Transfer (REST) Software as a Service (SaaS) Google Cloud Platform
About the Role This position is with RINA, the parent company of DCC, a subsidiary of Strata Networks. The position will be located in Green Bay, Wisconsin, Vernal/Roosevelt, Utah, or remote. We are seeking a Telecommunications Systems Operations Engineer, full-time on-site in Roosevelt, Utah. Wage starts at $90,000-$115,000 annually to support and maintain our Linux-based telecommunications infrastructure. This hands-on role focuses on daily operations of PHP LAMP stack applications and core telecom platforms, including HSS (Home Subscriber Server), OTA (Over-The-Air provisioning), ENUM services, and carrier integration systems running on Ubuntu servers. The role blends Linux system administration, PHP application support, and telecommunications operations to ensure system availability, performance, and reliability. Core Responsibilities Telecom System Operations & Monitoring Monitor production Ubuntu servers and critical telecom services Perform daily health checks on LAMP stack components Monitor HSS availability, OTA provisioning workflows, and ENUM services Review system and application logs, alerts, and security events Track system uptime, backups, and service availability metrics Telecom Linux Server Administration Administer Ubuntu LTS environments (20.04-24.04) Apply system updates, security patches, and package management Configure and maintain Apache, MySQL/MariaDB, SSL certificates, and firewalls Monitor and troubleshoot performance, resource usage, and service failures Implement log rotation, cleanup, and routine maintenance procedures PHP Application Support Troubleshoot PHP applications and LAMP stack issues Review PHP error logs and adjust configurations Support PHP upgrades, deployments, and dependency management Collaborate with developers to resolve application defects Telecommunications Systems Management Support HSS subscriber provisioning and authentication Maintain OTA platforms for SIM configuration and updates Manage ENUM databases for number routing Support IMS-related services (VoLTE, VoWiFi preferred) Troubleshoot provisioning, authentication, and carrier integration issues Database Management Administer MySQL/MariaDB databases, backups, and recovery Monitor performance, optimize queries, and manage replication Perform data validation and generate operational and billing reports Incident Response & Documentation Respond to production incidents and outages Perform root cause analysis and document resolutions Maintain runbooks, system documentation, and configuration records Participate in on-call rotation and scheduled maintenance windows Required Qualifications 3-5 years of Ubuntu/Linux system administration experience Production experience with LAMP stack environments MySQL/MariaDB administration and PHP troubleshooting skills Basic networking knowledge (TCP/IP, DNS, firewalls) Familiarity with telecom concepts: HSS/HLR, OTA, ENUM, IMSI/MSISDN Strong analytical, documentation, and communication skills Preferred Qualifications AWS or cloud infrastructure experience Docker, configuration management, and monitoring tools Telecom protocols (Diameter, SIP, RADIUS, SMPP) Scripting (Python or Perl), CI/CD, and security best practices This position is with RINA, the parent company of DCC, a subsidiary of Strata Networks supporting critical telecommunications infrastructure and operations. We offer the opportunity to work in a technically rigorous, mission-critical environment with direct impact on network reliability and subscriber services. Qualified candidates who are detail-oriented, operationally focused, and interested in telecommunications systems are encouraged to apply. Join a team where reliability, accountability, and technical excellence are essential to delivering trusted communications services. Telecom Network Engineer Benefits: Medical, Dental, Vision, Life Insurance PTO Paid Holidays 401k Growth Opportunities Compensation details: 00 Yearly Salary PId33a63a5014b-4947
04/04/2026
Full time
About the Role This position is with RINA, the parent company of DCC, a subsidiary of Strata Networks. The position will be located in Green Bay, Wisconsin, Vernal/Roosevelt, Utah, or remote. We are seeking a Telecommunications Systems Operations Engineer, full-time on-site in Roosevelt, Utah. Wage starts at $90,000-$115,000 annually to support and maintain our Linux-based telecommunications infrastructure. This hands-on role focuses on daily operations of PHP LAMP stack applications and core telecom platforms, including HSS (Home Subscriber Server), OTA (Over-The-Air provisioning), ENUM services, and carrier integration systems running on Ubuntu servers. The role blends Linux system administration, PHP application support, and telecommunications operations to ensure system availability, performance, and reliability. Core Responsibilities Telecom System Operations & Monitoring Monitor production Ubuntu servers and critical telecom services Perform daily health checks on LAMP stack components Monitor HSS availability, OTA provisioning workflows, and ENUM services Review system and application logs, alerts, and security events Track system uptime, backups, and service availability metrics Telecom Linux Server Administration Administer Ubuntu LTS environments (20.04-24.04) Apply system updates, security patches, and package management Configure and maintain Apache, MySQL/MariaDB, SSL certificates, and firewalls Monitor and troubleshoot performance, resource usage, and service failures Implement log rotation, cleanup, and routine maintenance procedures PHP Application Support Troubleshoot PHP applications and LAMP stack issues Review PHP error logs and adjust configurations Support PHP upgrades, deployments, and dependency management Collaborate with developers to resolve application defects Telecommunications Systems Management Support HSS subscriber provisioning and authentication Maintain OTA platforms for SIM configuration and updates Manage ENUM databases for number routing Support IMS-related services (VoLTE, VoWiFi preferred) Troubleshoot provisioning, authentication, and carrier integration issues Database Management Administer MySQL/MariaDB databases, backups, and recovery Monitor performance, optimize queries, and manage replication Perform data validation and generate operational and billing reports Incident Response & Documentation Respond to production incidents and outages Perform root cause analysis and document resolutions Maintain runbooks, system documentation, and configuration records Participate in on-call rotation and scheduled maintenance windows Required Qualifications 3-5 years of Ubuntu/Linux system administration experience Production experience with LAMP stack environments MySQL/MariaDB administration and PHP troubleshooting skills Basic networking knowledge (TCP/IP, DNS, firewalls) Familiarity with telecom concepts: HSS/HLR, OTA, ENUM, IMSI/MSISDN Strong analytical, documentation, and communication skills Preferred Qualifications AWS or cloud infrastructure experience Docker, configuration management, and monitoring tools Telecom protocols (Diameter, SIP, RADIUS, SMPP) Scripting (Python or Perl), CI/CD, and security best practices This position is with RINA, the parent company of DCC, a subsidiary of Strata Networks supporting critical telecommunications infrastructure and operations. We offer the opportunity to work in a technically rigorous, mission-critical environment with direct impact on network reliability and subscriber services. Qualified candidates who are detail-oriented, operationally focused, and interested in telecommunications systems are encouraged to apply. Join a team where reliability, accountability, and technical excellence are essential to delivering trusted communications services. Telecom Network Engineer Benefits: Medical, Dental, Vision, Life Insurance PTO Paid Holidays 401k Growth Opportunities Compensation details: 00 Yearly Salary PId33a63a5014b-4947
About Persistent We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what's next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem. Our disruptor's mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 23 sequential quarters of growth with $422.5M in Q3 FY26 revenue, up 4.0% Q-o-Q and 17.3% Y-o-Y growth. Our 26,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We won the 2025 ISG Star of Excellence Award for AI and Data Excellence and were named a Leader in the Everest Group Talent Readiness for Next-generation Data, Analytics and AI Services PEAK Matrix Assessment 2025 . About Position: Please mention a brief description of the position. Role: Tech Lead Location: Brentwood, TN Experience: 8+ Year Job Type: Full Time Employment Mandatory Mention 3 skills: Spring Boot, Microservices, Kafka, and Google Cloud Platform (GCP) What You'll Do: Design, develop, and maintain Java-based microservices using Spring Boot Work with Kafka for real-time data streaming and event-driven architectures Deploy, monitor, and optimize applications on Google Cloud Platform (GCP) Debug complex production issues, identify root causes, and provide quick resolutions Collaborate with cross-functional teams to analyze technical requirements and build scalable solutions Implement best practices for performance optimization, security, and code quality Participate in production support, handling incidents, monitoring, and resolving critical system issues Work with CI/CD pipelines, Docker, Kubernetes, and DevOps tools Document technical solutions, troubleshoot issues, and ensure system reliability Expertise You'll Bring: Please mention a brief description Expertise You'll Bring. Please provide the details in bullet points outlining what you expect from candidates. Benefits: Bachelor's or master's degree in computer science, Engineering, or a related field 8+ years of experience in Java development with Spring Boot and Microservices Experience with Kafka for event-driven architectures Hands-on experience with Google Cloud Platform (GCP) (Pub/Sub, Cloud Spanner, Cloud Run, etc.) Strong problem-solving, debugging, and troubleshooting skills Good understanding of RESTful APIs, SQL/NoSQL databases, and cloud deployments Experience working in Agile teams and using DevOps tools like Docker, Kubernetes, and CI/CD pipelines Values-Driven, People-Centric & Inclusive Work Environment: Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. We support hybrid work and flexible hours to fit diverse lifestyles. Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment Let's unleash your full potential at Persistent - For more detail, please contact - Rahul Bhakre () "Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."
04/04/2026
Full time
About Persistent We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what's next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem. Our disruptor's mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 23 sequential quarters of growth with $422.5M in Q3 FY26 revenue, up 4.0% Q-o-Q and 17.3% Y-o-Y growth. Our 26,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We won the 2025 ISG Star of Excellence Award for AI and Data Excellence and were named a Leader in the Everest Group Talent Readiness for Next-generation Data, Analytics and AI Services PEAK Matrix Assessment 2025 . About Position: Please mention a brief description of the position. Role: Tech Lead Location: Brentwood, TN Experience: 8+ Year Job Type: Full Time Employment Mandatory Mention 3 skills: Spring Boot, Microservices, Kafka, and Google Cloud Platform (GCP) What You'll Do: Design, develop, and maintain Java-based microservices using Spring Boot Work with Kafka for real-time data streaming and event-driven architectures Deploy, monitor, and optimize applications on Google Cloud Platform (GCP) Debug complex production issues, identify root causes, and provide quick resolutions Collaborate with cross-functional teams to analyze technical requirements and build scalable solutions Implement best practices for performance optimization, security, and code quality Participate in production support, handling incidents, monitoring, and resolving critical system issues Work with CI/CD pipelines, Docker, Kubernetes, and DevOps tools Document technical solutions, troubleshoot issues, and ensure system reliability Expertise You'll Bring: Please mention a brief description Expertise You'll Bring. Please provide the details in bullet points outlining what you expect from candidates. Benefits: Bachelor's or master's degree in computer science, Engineering, or a related field 8+ years of experience in Java development with Spring Boot and Microservices Experience with Kafka for event-driven architectures Hands-on experience with Google Cloud Platform (GCP) (Pub/Sub, Cloud Spanner, Cloud Run, etc.) Strong problem-solving, debugging, and troubleshooting skills Good understanding of RESTful APIs, SQL/NoSQL databases, and cloud deployments Experience working in Agile teams and using DevOps tools like Docker, Kubernetes, and CI/CD pipelines Values-Driven, People-Centric & Inclusive Work Environment: Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. We support hybrid work and flexible hours to fit diverse lifestyles. Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment Let's unleash your full potential at Persistent - For more detail, please contact - Rahul Bhakre () "Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."
At Definity, a leading technology company focused on AI driven solutions and digital transformation, we are continuously expanding our team to support innovative, high impact projects. We are seeking a Senior Backend Software Engineer to join the Sales Management Platform team for a high impact project with a leading automotive company headquartered in Fremont, California. The Senior Backend Developer will work on a mission critical, in house CRM platform that supports global sales operations and covers the full sales lifecycle, directly impacting revenue growth, customer satisfaction, and operational excellence. Important Considerations Interest in relocating and living in the United States On site position in Fremont, California (TN Visa sponsorship provided) Must have Mexican nationality Valid Mexican passport required Bachelor's degree and professional license (cédula profesional) What You Bring 5+ years of experience building backend systems in production environments Strong expertise in microservices architecture and distributed systems Experience working with real time data pipelines and event driven systems Proficiency in Golang and Python Experience with relational databases such as PostgreSQL Experience with large scale data systems such as ClickHouse Hands on experience with OpenSearch or similar search technologies Experience with message brokers such as Kafka and RabbitMQ Strong understanding of scalable system design and high throughput architectures Advanced English proficiency (spoken and written) is required Nice to have Experience working with AI driven or agentic workflow systems Familiarity with cloud native architectures What You'll Do Design, develop, and maintain scalable backend services for a global CRM platform Build high performance microservices capable of handling real time data processing Architect systems that support high throughput and large scale data environments Contribute to the development of AI assisted workflows that enhance sales productivity Ensure system reliability, scalability, and performance across distributed environments Collaborate closely with cross functional teams including product, frontend, and data engineering About Definity Founded in Monterrey, Mexico, Definity is a nearshore technology partner specializing in custom digital solutions, AI innovation, and business applications. With over two decades of expertise and a strong focus on client success, Definity empowers organizations worldwide to achieve real business results through modern technology. Definity is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, veteran status, or disability status.
04/04/2026
Full time
At Definity, a leading technology company focused on AI driven solutions and digital transformation, we are continuously expanding our team to support innovative, high impact projects. We are seeking a Senior Backend Software Engineer to join the Sales Management Platform team for a high impact project with a leading automotive company headquartered in Fremont, California. The Senior Backend Developer will work on a mission critical, in house CRM platform that supports global sales operations and covers the full sales lifecycle, directly impacting revenue growth, customer satisfaction, and operational excellence. Important Considerations Interest in relocating and living in the United States On site position in Fremont, California (TN Visa sponsorship provided) Must have Mexican nationality Valid Mexican passport required Bachelor's degree and professional license (cédula profesional) What You Bring 5+ years of experience building backend systems in production environments Strong expertise in microservices architecture and distributed systems Experience working with real time data pipelines and event driven systems Proficiency in Golang and Python Experience with relational databases such as PostgreSQL Experience with large scale data systems such as ClickHouse Hands on experience with OpenSearch or similar search technologies Experience with message brokers such as Kafka and RabbitMQ Strong understanding of scalable system design and high throughput architectures Advanced English proficiency (spoken and written) is required Nice to have Experience working with AI driven or agentic workflow systems Familiarity with cloud native architectures What You'll Do Design, develop, and maintain scalable backend services for a global CRM platform Build high performance microservices capable of handling real time data processing Architect systems that support high throughput and large scale data environments Contribute to the development of AI assisted workflows that enhance sales productivity Ensure system reliability, scalability, and performance across distributed environments Collaborate closely with cross functional teams including product, frontend, and data engineering About Definity Founded in Monterrey, Mexico, Definity is a nearshore technology partner specializing in custom digital solutions, AI innovation, and business applications. With over two decades of expertise and a strong focus on client success, Definity empowers organizations worldwide to achieve real business results through modern technology. Definity is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, veteran status, or disability status.
Overview We are hiring for one of our ecosystem projects, an innovative AI and Web3 company building an Ethereum Layer 2 solution integrated with advanced AI agents. As the first engineer dedicated to this initiative, you will play a pivotal role in its development, with potential opportunities to build and lead a team in the future. Key Responsibilities Design and implement AI platforms, encompassing both front-end interfaces and back-end services. Collaborate with other developers and AI engineers on data preprocessing, model training, and optimization. Deploy AI models into production environments, ensuring performance, scalability, and reliability. Develop and maintain data processing pipelines to ensure data quality and consistency. Stay updated on AI technology trends, advocating for the integration of new technologies into our products. Contribute to other projects based on the company's product development progress. Requirements Bachelor's degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or a related field. 5 years of full-stack development experience, proficient in both front-end and back-end technologies. Expertise in front-end and back-end technologies (especially Golang). Eager to explore and could use new technologies related to AI that help improve working efficiency. Strong curiosity and willingness to explore new product directions, identify potential AI applications, and contribute to product innovation. Familiarity with Web3, blockchain, and the crypto industry, with insights into different product models and a personal perspective on industry trends and innovations. Excellent communication skills and a collaborative team spirit, with the ability to independently solve problems and take initiative. Preferred Qualifications Knowledge in data processing and analysis will be a plus, with knowledge of SQL and NoSQL databases such as MySQL, PostgreSQL, or MongoDB. Experience in deploying and optimizing AI agent. Experience contributing to open-source projects. Build high-performance APIs and microservices to support large-scale Web3 application. Familiarity with large-scale data processing technologies such as Hadoop or Spark.
04/04/2026
Full time
Overview We are hiring for one of our ecosystem projects, an innovative AI and Web3 company building an Ethereum Layer 2 solution integrated with advanced AI agents. As the first engineer dedicated to this initiative, you will play a pivotal role in its development, with potential opportunities to build and lead a team in the future. Key Responsibilities Design and implement AI platforms, encompassing both front-end interfaces and back-end services. Collaborate with other developers and AI engineers on data preprocessing, model training, and optimization. Deploy AI models into production environments, ensuring performance, scalability, and reliability. Develop and maintain data processing pipelines to ensure data quality and consistency. Stay updated on AI technology trends, advocating for the integration of new technologies into our products. Contribute to other projects based on the company's product development progress. Requirements Bachelor's degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or a related field. 5 years of full-stack development experience, proficient in both front-end and back-end technologies. Expertise in front-end and back-end technologies (especially Golang). Eager to explore and could use new technologies related to AI that help improve working efficiency. Strong curiosity and willingness to explore new product directions, identify potential AI applications, and contribute to product innovation. Familiarity with Web3, blockchain, and the crypto industry, with insights into different product models and a personal perspective on industry trends and innovations. Excellent communication skills and a collaborative team spirit, with the ability to independently solve problems and take initiative. Preferred Qualifications Knowledge in data processing and analysis will be a plus, with knowledge of SQL and NoSQL databases such as MySQL, PostgreSQL, or MongoDB. Experience in deploying and optimizing AI agent. Experience contributing to open-source projects. Build high-performance APIs and microservices to support large-scale Web3 application. Familiarity with large-scale data processing technologies such as Hadoop or Spark.
Until is a moonshot company building a "pause button" for biology. Our near-term focus is organ-scale reversible cryopreservation: preserving donated organs at subzero temperatures without ice formation, then rewarming them uniformly for transplant. By solving this grand challenge, we're laying the foundation for whole-body reversible cryopreservation, giving patients a bridge to future cures. To achieve our goal, we are assembling an interdisciplinary team to develop perfusion systems, cryoprotectant formulations, and vitrification and rewarming hardware. We are also building out our medical hibernation team to tackle the challenges of whole-body cryopreservation, beginning with rodent models. We envision a future where no transplantable organ is lost to logistics, and no terminal diagnosis is final because patients can safely wait for future medicine to arrive. About the Role As a Machine Learning Engineer / Scientist at Until, you will be an early member of the computational team defining how experimental data becomes insight and drives the next round of scientific discovery. You'll build high-leverage ML systems that help develop new cryoprotectant formulations, engineer biologically-inspired antifreeze proteins, and understand the physics of vitrification and rewarming. You will own projects end-to-end including shaping data collection and designing data pipelines, training and evaluating models, and deploying tooling that scientists use daily. About You Degree in Computer Science or a related field (Applied Mathematics, Statistics, Data Science, Computational Biology). Excellent foundations in the mathematics that underlies machine learning, including linear algebra, probability, statistics, and calculus. Strong experience in modern machine learning approaches, such as representation learning, generative modeling, active learning, and bayesian optimization. Track record of developing ML approaches for scientific discovery, as evidenced by a strong publication record, substantial open source contributions, or deployment of a machine learning system in an industry role. Demonstrated ability to write modular, maintainable, and performant code in Python. Fluency with the Python data science and ML stack, including PyTorch, NumPy, SciPy, Pandas/Polars, Matplotlib/Plotly. Proficient with developer tooling, including Linux command line, Git, and shell scripting. Ability to think from first principles and tackle complex, cross-disciplinary problems with other scientists and engineers. Preferred Qualifications 3+ years of relevant professional or research experience, or a PhD in a computational field. Strong understanding of computer science fundamentals, including algorithms, operating systems, and concurrency. Experience with cloud infrastructure (AWS, GCP) and SQL databases. Benefits Opportunity for outsized impact creating the future as an early team member. Generous medical, dental and vision insurance coverage. Flexible time off and paid holidays. Competitive compensation package, including salary and equity. 401(k) retirement savings plan. FSA and commuter benefits. Subsidized lunch daily. $140,000 - $240,000 a year While this represents our expected range based on market data, final compensation will be determined based on your specific qualifications and may be outside this range. Please keep in mind that the equity portion of the offer is not included in this estimate. As an equal opportunity employer, Until is committed to providing employment opportunities to all individuals. All applicants for positions at Until will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law.
04/04/2026
Full time
Until is a moonshot company building a "pause button" for biology. Our near-term focus is organ-scale reversible cryopreservation: preserving donated organs at subzero temperatures without ice formation, then rewarming them uniformly for transplant. By solving this grand challenge, we're laying the foundation for whole-body reversible cryopreservation, giving patients a bridge to future cures. To achieve our goal, we are assembling an interdisciplinary team to develop perfusion systems, cryoprotectant formulations, and vitrification and rewarming hardware. We are also building out our medical hibernation team to tackle the challenges of whole-body cryopreservation, beginning with rodent models. We envision a future where no transplantable organ is lost to logistics, and no terminal diagnosis is final because patients can safely wait for future medicine to arrive. About the Role As a Machine Learning Engineer / Scientist at Until, you will be an early member of the computational team defining how experimental data becomes insight and drives the next round of scientific discovery. You'll build high-leverage ML systems that help develop new cryoprotectant formulations, engineer biologically-inspired antifreeze proteins, and understand the physics of vitrification and rewarming. You will own projects end-to-end including shaping data collection and designing data pipelines, training and evaluating models, and deploying tooling that scientists use daily. About You Degree in Computer Science or a related field (Applied Mathematics, Statistics, Data Science, Computational Biology). Excellent foundations in the mathematics that underlies machine learning, including linear algebra, probability, statistics, and calculus. Strong experience in modern machine learning approaches, such as representation learning, generative modeling, active learning, and bayesian optimization. Track record of developing ML approaches for scientific discovery, as evidenced by a strong publication record, substantial open source contributions, or deployment of a machine learning system in an industry role. Demonstrated ability to write modular, maintainable, and performant code in Python. Fluency with the Python data science and ML stack, including PyTorch, NumPy, SciPy, Pandas/Polars, Matplotlib/Plotly. Proficient with developer tooling, including Linux command line, Git, and shell scripting. Ability to think from first principles and tackle complex, cross-disciplinary problems with other scientists and engineers. Preferred Qualifications 3+ years of relevant professional or research experience, or a PhD in a computational field. Strong understanding of computer science fundamentals, including algorithms, operating systems, and concurrency. Experience with cloud infrastructure (AWS, GCP) and SQL databases. Benefits Opportunity for outsized impact creating the future as an early team member. Generous medical, dental and vision insurance coverage. Flexible time off and paid holidays. Competitive compensation package, including salary and equity. 401(k) retirement savings plan. FSA and commuter benefits. Subsidized lunch daily. $140,000 - $240,000 a year While this represents our expected range based on market data, final compensation will be determined based on your specific qualifications and may be outside this range. Please keep in mind that the equity portion of the offer is not included in this estimate. As an equal opportunity employer, Until is committed to providing employment opportunities to all individuals. All applicants for positions at Until will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law.
People.ai is an AI-powered foundational data platform that helps customers unlock go to market success & growth by providing teams with solutions built specifically for their needs. Providing enhanced pipeline visibility, more actionable insights, and a single source of truth for all sales activities. People.ai's unique dataset, consisting of trillions of sales activities, millions of deals, 160 million business contacts, and 69 approved patents related to AI-based business insights, sets the company apart. Companies such as Verizon, Red Hat, and Palo Alto Networks rely on their enterprise ready, patented AI technology. At People.ai, we believe that people enrich the world around them in countless ways. We believe that the more time they spend applying their creativity, resourcefulness, and critical thinking to activities that matter most in their professional life, the more effective a professional they become. Our team is a diverse, outspoken group of creatives and critical thinkers, hyper focused on driving change and growth. We embrace "different". We applaud non traditional career paths. We're inspired by people who have made processes their own. As a Senior Software Engineer on the XCore team, you will work on one of the most impactful projects at People.ai - Forecasting. You will be building and evolving a live product with active daily users, working closely with the business team and customers through discovery and exploration calls. You will have a direct impact on company revenue by defining and delivering features grounded in real customer feedback. Your work will directly influence how customers plan, forecast outcomes, and make critical business decisions. In addition, you will collaborate across Engineering and R&D teams to enhance core Admin Platform services such as authentication, users, settings, and configurations. You will leverage customer insights and data analysis to design and build high performance, low latency systems and APIs that scale efficiently while improving our operational costs. We value ownership highly - the ability to take an idea through all the stages from conception to shipping a product. This reflects throughout our company, but is especially true in engineering. As an engineer at People.ai, you'll be a part of a highly independent and autonomous team. Since we're building out a robust data layer that needs to be presented elegantly to the end user, you'll be working with a large array of different technologies and fields. Expect lots of interesting challenges. Responsibilities: Take ownership of projects. From requirements gathering, through design, implementation and testing, to monitoring and maintenance throughout the tech stack. Collaborate within the team, with other engineering teams and cross functionally to enhance our users' experience. Follow software design and development best practices and promote such practices in the team. Document design choices and operational knowledge to successfully deploy and run services. Ensure code accuracy and efficiency with appropriate test coverage, integration testing and load testing. Ensure robust alerting, dashboards, and runbooks for production services are in place. Requirements: 7+ years of professional experience working on backend systems in an enterprise environment 2+ years experience programming in Python 2.x/3.x or Scala or Java Experience with SOA, microservices, and event driven architecture Experience with an enterprise grade stack for scalable web apps, including messaging brokers, in memory storage, and key value databases Strong knowledge of TDD, Unit, and automated test paradigms Experience with SQL and RDBMS solutions Experience with containerized applications, Docker, and Kubernetes Possess a DevOps mindset, AWS experience is a plus Experience with LLMs is a plus Experience with large scale data processing (Spark) is a plus Bachelor's Degree in Computer Science, Computer Engineering, or in a closely related discipline Headquartered in San Francisco, CA, People.ai is backed by Y Combinator and Silicon Valley's top investors, including ICONIQ Capital, Andreessen Horowitz, Lightspeed Venture Partners, Akkadian Ventures, and Mubadala Capital. People.ai is listed in the top 20 percent of Inc 5000 companies, is a regular leader in our key categories on G2, and is on the Forbes list of America's Best Startup Employers. For more information, please visit .
04/04/2026
Full time
People.ai is an AI-powered foundational data platform that helps customers unlock go to market success & growth by providing teams with solutions built specifically for their needs. Providing enhanced pipeline visibility, more actionable insights, and a single source of truth for all sales activities. People.ai's unique dataset, consisting of trillions of sales activities, millions of deals, 160 million business contacts, and 69 approved patents related to AI-based business insights, sets the company apart. Companies such as Verizon, Red Hat, and Palo Alto Networks rely on their enterprise ready, patented AI technology. At People.ai, we believe that people enrich the world around them in countless ways. We believe that the more time they spend applying their creativity, resourcefulness, and critical thinking to activities that matter most in their professional life, the more effective a professional they become. Our team is a diverse, outspoken group of creatives and critical thinkers, hyper focused on driving change and growth. We embrace "different". We applaud non traditional career paths. We're inspired by people who have made processes their own. As a Senior Software Engineer on the XCore team, you will work on one of the most impactful projects at People.ai - Forecasting. You will be building and evolving a live product with active daily users, working closely with the business team and customers through discovery and exploration calls. You will have a direct impact on company revenue by defining and delivering features grounded in real customer feedback. Your work will directly influence how customers plan, forecast outcomes, and make critical business decisions. In addition, you will collaborate across Engineering and R&D teams to enhance core Admin Platform services such as authentication, users, settings, and configurations. You will leverage customer insights and data analysis to design and build high performance, low latency systems and APIs that scale efficiently while improving our operational costs. We value ownership highly - the ability to take an idea through all the stages from conception to shipping a product. This reflects throughout our company, but is especially true in engineering. As an engineer at People.ai, you'll be a part of a highly independent and autonomous team. Since we're building out a robust data layer that needs to be presented elegantly to the end user, you'll be working with a large array of different technologies and fields. Expect lots of interesting challenges. Responsibilities: Take ownership of projects. From requirements gathering, through design, implementation and testing, to monitoring and maintenance throughout the tech stack. Collaborate within the team, with other engineering teams and cross functionally to enhance our users' experience. Follow software design and development best practices and promote such practices in the team. Document design choices and operational knowledge to successfully deploy and run services. Ensure code accuracy and efficiency with appropriate test coverage, integration testing and load testing. Ensure robust alerting, dashboards, and runbooks for production services are in place. Requirements: 7+ years of professional experience working on backend systems in an enterprise environment 2+ years experience programming in Python 2.x/3.x or Scala or Java Experience with SOA, microservices, and event driven architecture Experience with an enterprise grade stack for scalable web apps, including messaging brokers, in memory storage, and key value databases Strong knowledge of TDD, Unit, and automated test paradigms Experience with SQL and RDBMS solutions Experience with containerized applications, Docker, and Kubernetes Possess a DevOps mindset, AWS experience is a plus Experience with LLMs is a plus Experience with large scale data processing (Spark) is a plus Bachelor's Degree in Computer Science, Computer Engineering, or in a closely related discipline Headquartered in San Francisco, CA, People.ai is backed by Y Combinator and Silicon Valley's top investors, including ICONIQ Capital, Andreessen Horowitz, Lightspeed Venture Partners, Akkadian Ventures, and Mubadala Capital. People.ai is listed in the top 20 percent of Inc 5000 companies, is a regular leader in our key categories on G2, and is on the Forbes list of America's Best Startup Employers. For more information, please visit .
Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $147,100 - $167,900 for Senior Machine Learning Engineer McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer Plano, TX: $147,100 - $167,900 for Senior Machine Learning Engineer Richmond, VA: $147,100 - $167,900 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/04/2026
Full time
Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $147,100 - $167,900 for Senior Machine Learning Engineer McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer Plano, TX: $147,100 - $167,900 for Senior Machine Learning Engineer Richmond, VA: $147,100 - $167,900 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $147,100 - $167,900 for Senior Machine Learning Engineer McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer Plano, TX: $147,100 - $167,900 for Senior Machine Learning Engineer Richmond, VA: $147,100 - $167,900 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/04/2026
Full time
Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $147,100 - $167,900 for Senior Machine Learning Engineer McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer Plano, TX: $147,100 - $167,900 for Senior Machine Learning Engineer Richmond, VA: $147,100 - $167,900 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Join to apply for the Senior Software Engineer role at Gallup Join to apply for the Senior Software Engineer role at Gallup Direct message the job poster from Gallup Director of Talent Acquisition Technology Lead with code. Inspire with experience. Gallup is looking for a senior software engineer with deep technical expertise and a proven track record of leading modern development practices in a Product Operating Model. In this role, you'll be hands-on with code while guiding fellow engineers, inspiring cross-functional collaboration, influencing architectural decisions, and offering innovative and customer-focused solutions. What You'll Do Solve complex technical challenges alongside product, design and QA teams Design, develop and maintain back-end services using C# and .NET Core Integrate and interface with microservices and APIs written in Java, Python and other modern languages Improve and evolve our CI/CD pipelines using infrastructure as code (Terraform) Implement and support security workflows for role and permission management Contribute to front-end implementations using React.js Lead architecture and design sessions in your functional areas of ownership Mentor engineers on scalable, resilient service patterns that consider performance, cost and customer experience What Makes You Stand Out Cross-team leadership: You've led engineering efforts across squads or domains. Startup drive: You thrive in fast-moving, high-impact roles. Directional influence: You promote modern design principles and best practices, make architecture-level tradeoff decisions, and explain your rationale clearly to any audience. Mentorship mindset: You've coached engineers or run formal mentoring programs. Security focus: You develop with security and threat modeling in mind. Tool integrator: You have experience evaluating and integrating third-party tools or platforms that increase speed and value. Community contributor: You contribute to open-source projects or professional tech communities. What You Need Bachelor's degree in computer science, computer engineering or a related field or equivalent experience required At least five years of professional software development experience with strong C#/.NET skills required Proficiency in Java or Python required Competency with relational and NoSQL databases (MySQL, DynamoDB) required Strong understanding of cloud-native development, ideally in AWS, required Hands-on experience with infrastructure as code and CI/CD pipelines (Terraform, CloudFormation) required Experience managing user authentication and authorization through custom implementations or third-party tools (Okta, Keycloak, Auth0) required Deep understanding of observability best practices, including distributed tracing, structured logging and metrics-driven alerting (Dynatrace, Datadog) required Must live within a 60-mile radius of San Francisco A commitment to working on-site at a local Gallup workspace in San Francisco at least three days a week required What You'll Experience Mission-driven work: Make a meaningful difference for organizations, governments and individuals with your unique contributions, commitment to service and exceptional outcomes. Engaged teams: Join world-class managers, highly productive colleagues and knowledgeable mentors who are enthusiastic about their work. Learning opportunities: Focus on continuous growth by developing your strengths, feeding your curiosity, challenging conventional thinking and experimenting. Brand strength, startup energy: Thrive in an innovative culture backed by a trusted brand. A collaborative environment: Work where your ideas, perspectives and experiences are welcomed and valued. Learn more about life at Gallup . Gallup offers a robust benefits package that includes medical, dental, vision, life and other insurance options; a fully vested 401(k) retirement savings plan with company matching; an employee stock ownership program; mass transit reimbursement; family-building benefits; an employee assistance program; and various reimbursements and activities that enhance our associates' wellbeing. We also offer an estimated annual salary range of $160,000-$180,000 for this role. Salaries are based on a variety of factors, including an individual's education, experience and skills. Gallup is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identity, or any other legally protected basis, in accordance with applicable law. Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function Job functionEngineering, Information Technology, and Other IndustriesIT Services and IT Consulting, Business Consulting and Services, and Technology, Information and Media Referrals increase your chances of interviewing at Gallup by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Paid maternity leave Paid paternity leave Disability insurance Get notified when a new job is posted. Sign in to set job alerts for "Software Engineer" roles. Mountain View, CA $145,000.00-$170,000.00 2 days ago Software Engineer, AI Platform - New Grad Mountain View, CA $145,000.00-$170,000.00 2 days ago Mountain View, CA $138,225.00-$207,575.00 3 days ago San Francisco, CA $130,000.00-$140,000.00 5 days ago San Francisco, CA $99,500.00-$200,000.00 5 days ago Software Development Engineer I - Frontend & MobileSoftware Engineer, Frontend (All Levels) San Francisco, CA $150,000.00-$220,000.00 3 days ago San Francisco, CA $176,000.00-$250,000.00 4 days ago San Francisco, CA $130,000.00-$240,000.00 4 days ago Software Engineer (L5) - Open Connect Platform San Jose, CA $113,400.00-$206,300.00 5 days ago San Jose, CA $100,500.00-$173,250.00 1 week ago San Francisco, CA $99,500.00-$200,000.00 5 days ago Frontend Software Engineer - University Graduate 2025 San Mateo, CA $120,000.00-$165,000.00 1 day ago San Francisco, CA $130,000.00-$250,000.00 4 days ago San Jose, CA $113,400.00-$206,300.00 5 days ago San Mateo, CA $110,000.00-$135,000.00 2 days ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
04/04/2026
Full time
Join to apply for the Senior Software Engineer role at Gallup Join to apply for the Senior Software Engineer role at Gallup Direct message the job poster from Gallup Director of Talent Acquisition Technology Lead with code. Inspire with experience. Gallup is looking for a senior software engineer with deep technical expertise and a proven track record of leading modern development practices in a Product Operating Model. In this role, you'll be hands-on with code while guiding fellow engineers, inspiring cross-functional collaboration, influencing architectural decisions, and offering innovative and customer-focused solutions. What You'll Do Solve complex technical challenges alongside product, design and QA teams Design, develop and maintain back-end services using C# and .NET Core Integrate and interface with microservices and APIs written in Java, Python and other modern languages Improve and evolve our CI/CD pipelines using infrastructure as code (Terraform) Implement and support security workflows for role and permission management Contribute to front-end implementations using React.js Lead architecture and design sessions in your functional areas of ownership Mentor engineers on scalable, resilient service patterns that consider performance, cost and customer experience What Makes You Stand Out Cross-team leadership: You've led engineering efforts across squads or domains. Startup drive: You thrive in fast-moving, high-impact roles. Directional influence: You promote modern design principles and best practices, make architecture-level tradeoff decisions, and explain your rationale clearly to any audience. Mentorship mindset: You've coached engineers or run formal mentoring programs. Security focus: You develop with security and threat modeling in mind. Tool integrator: You have experience evaluating and integrating third-party tools or platforms that increase speed and value. Community contributor: You contribute to open-source projects or professional tech communities. What You Need Bachelor's degree in computer science, computer engineering or a related field or equivalent experience required At least five years of professional software development experience with strong C#/.NET skills required Proficiency in Java or Python required Competency with relational and NoSQL databases (MySQL, DynamoDB) required Strong understanding of cloud-native development, ideally in AWS, required Hands-on experience with infrastructure as code and CI/CD pipelines (Terraform, CloudFormation) required Experience managing user authentication and authorization through custom implementations or third-party tools (Okta, Keycloak, Auth0) required Deep understanding of observability best practices, including distributed tracing, structured logging and metrics-driven alerting (Dynatrace, Datadog) required Must live within a 60-mile radius of San Francisco A commitment to working on-site at a local Gallup workspace in San Francisco at least three days a week required What You'll Experience Mission-driven work: Make a meaningful difference for organizations, governments and individuals with your unique contributions, commitment to service and exceptional outcomes. Engaged teams: Join world-class managers, highly productive colleagues and knowledgeable mentors who are enthusiastic about their work. Learning opportunities: Focus on continuous growth by developing your strengths, feeding your curiosity, challenging conventional thinking and experimenting. Brand strength, startup energy: Thrive in an innovative culture backed by a trusted brand. A collaborative environment: Work where your ideas, perspectives and experiences are welcomed and valued. Learn more about life at Gallup . Gallup offers a robust benefits package that includes medical, dental, vision, life and other insurance options; a fully vested 401(k) retirement savings plan with company matching; an employee stock ownership program; mass transit reimbursement; family-building benefits; an employee assistance program; and various reimbursements and activities that enhance our associates' wellbeing. We also offer an estimated annual salary range of $160,000-$180,000 for this role. Salaries are based on a variety of factors, including an individual's education, experience and skills. Gallup is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identity, or any other legally protected basis, in accordance with applicable law. Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function Job functionEngineering, Information Technology, and Other IndustriesIT Services and IT Consulting, Business Consulting and Services, and Technology, Information and Media Referrals increase your chances of interviewing at Gallup by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Paid maternity leave Paid paternity leave Disability insurance Get notified when a new job is posted. Sign in to set job alerts for "Software Engineer" roles. Mountain View, CA $145,000.00-$170,000.00 2 days ago Software Engineer, AI Platform - New Grad Mountain View, CA $145,000.00-$170,000.00 2 days ago Mountain View, CA $138,225.00-$207,575.00 3 days ago San Francisco, CA $130,000.00-$140,000.00 5 days ago San Francisco, CA $99,500.00-$200,000.00 5 days ago Software Development Engineer I - Frontend & MobileSoftware Engineer, Frontend (All Levels) San Francisco, CA $150,000.00-$220,000.00 3 days ago San Francisco, CA $176,000.00-$250,000.00 4 days ago San Francisco, CA $130,000.00-$240,000.00 4 days ago Software Engineer (L5) - Open Connect Platform San Jose, CA $113,400.00-$206,300.00 5 days ago San Jose, CA $100,500.00-$173,250.00 1 week ago San Francisco, CA $99,500.00-$200,000.00 5 days ago Frontend Software Engineer - University Graduate 2025 San Mateo, CA $120,000.00-$165,000.00 1 day ago San Francisco, CA $130,000.00-$250,000.00 4 days ago San Jose, CA $113,400.00-$206,300.00 5 days ago San Mateo, CA $110,000.00-$135,000.00 2 days ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
About Gridware Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware's advanced Active Grid Response platform uses high precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate tech and Silicon Valley investors. For more information, please visit . Role Description As a Senior Data Engineer at Gridware, you'll design and scale the data infrastructure that powers our real time grid monitoring platform. You'll build high performance pipelines that transform massive streams of sensor and telemetry data into actionable insights - helping detect faults, predict failures, and strengthen the grid that powers entire communities. Responsibilities Deploy and manage Unity Catalog to standardize data governance, lineage, and access control across data domains. Design, develop, and maintain scalable data pipelines and architectures. Implement data ingestion, transformation, and storage solutions. Ensure data quality and integrity across various data sources and destinations. Collaborate with software engineers, data scientists, analysts, and other stakeholders to meet data requirements. Optimize and tune data workflows for performance and efficiency. Monitor, troubleshoot, and resolve issues in data pipelines and related systems. Document data processes, architecture, and workflow procedures. Required Skills 5+ years of professional experience in data engineering or related roles, building and scaling real time data infrastructure Experience designing and maintaining data lakes and lakehouse architectures with governance and access controls Strong in Python and SQL, with deep experience in relational, time series, and streaming databases Hands on with modern data stacks - Spark, Kafka, Databricks, Grafana, and other cloud native tools Skilled in data modeling, ETL/ELT pipelines, and real time streaming architectures for production systems Familiar with CI/CD, version control, and data governance/security best practices Bonus Skills Experience with real time data processing and streaming analytics frameworks Familiarity with IoT and embedded systems, including sensor data pipelines and edge computing Hands on with Docker, Kubernetes, and Protobuf in production environments Exposure to machine learning workflows and real time monitoring for IoT and time series data Comfortable operating in a high growth startup environment, adapting quickly across domains This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply! Benefits Health, Dental & Vision (Gold and Platinum with some provider plans fully covered) Paid parental leave Alternating day off (every other Monday) "Off the Grid", a two week per year paid break for all employees. Commuter allowance Company paid training 180000 - 195000 USD a year
04/04/2026
Full time
About Gridware Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware's advanced Active Grid Response platform uses high precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate tech and Silicon Valley investors. For more information, please visit . Role Description As a Senior Data Engineer at Gridware, you'll design and scale the data infrastructure that powers our real time grid monitoring platform. You'll build high performance pipelines that transform massive streams of sensor and telemetry data into actionable insights - helping detect faults, predict failures, and strengthen the grid that powers entire communities. Responsibilities Deploy and manage Unity Catalog to standardize data governance, lineage, and access control across data domains. Design, develop, and maintain scalable data pipelines and architectures. Implement data ingestion, transformation, and storage solutions. Ensure data quality and integrity across various data sources and destinations. Collaborate with software engineers, data scientists, analysts, and other stakeholders to meet data requirements. Optimize and tune data workflows for performance and efficiency. Monitor, troubleshoot, and resolve issues in data pipelines and related systems. Document data processes, architecture, and workflow procedures. Required Skills 5+ years of professional experience in data engineering or related roles, building and scaling real time data infrastructure Experience designing and maintaining data lakes and lakehouse architectures with governance and access controls Strong in Python and SQL, with deep experience in relational, time series, and streaming databases Hands on with modern data stacks - Spark, Kafka, Databricks, Grafana, and other cloud native tools Skilled in data modeling, ETL/ELT pipelines, and real time streaming architectures for production systems Familiar with CI/CD, version control, and data governance/security best practices Bonus Skills Experience with real time data processing and streaming analytics frameworks Familiarity with IoT and embedded systems, including sensor data pipelines and edge computing Hands on with Docker, Kubernetes, and Protobuf in production environments Exposure to machine learning workflows and real time monitoring for IoT and time series data Comfortable operating in a high growth startup environment, adapting quickly across domains This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply! Benefits Health, Dental & Vision (Gold and Platinum with some provider plans fully covered) Paid parental leave Alternating day off (every other Monday) "Off the Grid", a two week per year paid break for all employees. Commuter allowance Company paid training 180000 - 195000 USD a year
Software Engineering is the field focused on designing, building, testing, and maintaining software systems in a structured and efficient way. What it includes: Programming (writing code in languages like Python, Java, C++) System design (how different parts of software work together) Testing & debugging (finding and fixing issues) Version control (using tools like Git) Development methodologies (Agile, Scrum, etc.) Common roles: Frontend Developer (UI/UX) Backend Developer (servers, databases) Full Stack Developer DevOps Engineer Software Architect Skills youll need: Problem-solving & logic Data structures & algorithms Understanding of databases Knowledge of frameworks/tools If you want, I can: Help you start learning step-by-step Suggest a roadmap (beginner job-ready) Or explain any topic (like coding, DSA, projects, etc.)
04/04/2026
Software Engineering is the field focused on designing, building, testing, and maintaining software systems in a structured and efficient way. What it includes: Programming (writing code in languages like Python, Java, C++) System design (how different parts of software work together) Testing & debugging (finding and fixing issues) Version control (using tools like Git) Development methodologies (Agile, Scrum, etc.) Common roles: Frontend Developer (UI/UX) Backend Developer (servers, databases) Full Stack Developer DevOps Engineer Software Architect Skills youll need: Problem-solving & logic Data structures & algorithms Understanding of databases Knowledge of frameworks/tools If you want, I can: Help you start learning step-by-step Suggest a roadmap (beginner job-ready) Or explain any topic (like coding, DSA, projects, etc.)
Senior AI Engineer Location: Piscataway, NJ (Hybrid from day one) Local to NJ candidates are preferred. Position type: W2 contract. Requirement: We are seeking an experienced and proactive Senior AI Engineer to join our team. The ideal candidate will have a strong background in AI/ML, hands-on experience with large language models, and proven ability to drive innovation and implementation in a collaborative environment. You will collaborate with offshore teams and liaise directly with the client to ensure project deliverables are met on time and to expectations. Responsibilities: Develop and deploy machine learning models using Python and frameworks like PyTorch and TensorFlow. Design and implement solutions involving Large Language Models (LLMs), embeddings, vector databases, Retrieval-Augmented Generation (RAG), and prompt engineering. Work with cloud AI services such as Azure OpenAI, AWS Bedrock, and GCP Vertex to integrate AI capabilities. Build and maintain MLOps pipelines using Docker, Kubernetes, and monitoring tools for scalable and reliable deployment. Develop APIs and endpoint services using FastAPI or Flask. Collaborate with offshore teams to drive solution implementation and ensure alignment with project timelines. Engage with the client for ongoing communication, requirement gathering, and expectation management. Leverage solid knowledge of data structures, algorithms, and distributed systems to optimize solutions. Skills & Qualifications: Strong experience with Python programming and ML frameworks (PyTorch, TensorFlow Hands-on experience with LLMs, embeddings, vector databases, RAG, and prompt engineering. Familiarity with cloud AI services such as Azure OpenAI, AWS Bedrock, and GCP Vertex. Proficiency with Docker, Kubernetes, and MLOps pipelines. Experience in API development (FastAPI, Flask Solid understanding of data structures, algorithms, and distributed systems. Excellent communication skills and ability to coordinate with offshore teams and clients. Proven track record of driving projects from conception to delivery in a collaborative environment.
04/04/2026
Senior AI Engineer Location: Piscataway, NJ (Hybrid from day one) Local to NJ candidates are preferred. Position type: W2 contract. Requirement: We are seeking an experienced and proactive Senior AI Engineer to join our team. The ideal candidate will have a strong background in AI/ML, hands-on experience with large language models, and proven ability to drive innovation and implementation in a collaborative environment. You will collaborate with offshore teams and liaise directly with the client to ensure project deliverables are met on time and to expectations. Responsibilities: Develop and deploy machine learning models using Python and frameworks like PyTorch and TensorFlow. Design and implement solutions involving Large Language Models (LLMs), embeddings, vector databases, Retrieval-Augmented Generation (RAG), and prompt engineering. Work with cloud AI services such as Azure OpenAI, AWS Bedrock, and GCP Vertex to integrate AI capabilities. Build and maintain MLOps pipelines using Docker, Kubernetes, and monitoring tools for scalable and reliable deployment. Develop APIs and endpoint services using FastAPI or Flask. Collaborate with offshore teams to drive solution implementation and ensure alignment with project timelines. Engage with the client for ongoing communication, requirement gathering, and expectation management. Leverage solid knowledge of data structures, algorithms, and distributed systems to optimize solutions. Skills & Qualifications: Strong experience with Python programming and ML frameworks (PyTorch, TensorFlow Hands-on experience with LLMs, embeddings, vector databases, RAG, and prompt engineering. Familiarity with cloud AI services such as Azure OpenAI, AWS Bedrock, and GCP Vertex. Proficiency with Docker, Kubernetes, and MLOps pipelines. Experience in API development (FastAPI, Flask Solid understanding of data structures, algorithms, and distributed systems. Excellent communication skills and ability to coordinate with offshore teams and clients. Proven track record of driving projects from conception to delivery in a collaborative environment.
Staff Data Scientist Location: Beachwood, OH Shift: Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position Summary: The Staff Data Scientist will be a key role in the Data Science and Analytics team tasked with providing technical leadership for the establishment of enterprise wide capabilities in data science, AI and predictive analytics. The Staff Data Scientist will typically work on 3-5 large projects concurrently that have organization-wide impact. In addition to these projects, the Staff Data Scientist will provide technical consultation, advice and training on all major on-going Data Science and Analytics projects. When required, the Staff Data Scientist will also act as a project manager where vendors, suppliers and consultants are engaged on key strategic and emerging technology initiatives. Major Responsibilities: Identifying High Value Analytics & AI Opportunities Partner with business leaders to identify opportunities where predictive analytics, machine learning, or generative AI can improve productivity, reduce cost, or unlock new capabilities. Develop clear business cases and ROI models to prioritize initiatives and communicate value to senior leadership. Lead Data Science Projects Translate complex business requirements into robust, scalable technical solutions. Select and implement appropriate modeling techniques, including classical ML, deep learning, generative AI, and reinforcement learning where applicable. Oversee the full model lifecycle: data exploration, feature engineering, model development, evaluation, deployment, monitoring, and continuous improvement. Ensure solutions are production ready, maintainable, and aligned with MLOps best practices. Drive organization wide adoption of models and AI systems through clear communication, documentation, and stakeholder engagement. Technical Guidance & Thought Leadership Provide expert consultation on ML algorithms, model tuning, experimentation frameworks, and cloud native data engineering patterns. Mentor data scientists, ML engineers and AI engineers; support skill development in areas such as forecasting, ML modeling, generative AI, vector databases, and modern ETL/ELT workflows. Contribute to the development of internal standards, reusable components, and best practice guidelines. Project Management Develop and maintain project plans, milestones, and communication strategies for strategic initiatives. Facilitate regular updates with stakeholders, executives, and cross functional partners. Coordinate with vendors, consultants, and technology partners when external expertise is required Lead technology change in Data Science, Analytics and AI Evaluate emerging technologies including generative AI platforms, MLOps tools, cloud services, and data engineering frameworks to determine applicability and business value. Recommend and influence adoption of modern, flexible, and scalable technologies that support a unified enterprise data and AI platform. Drive experimentation and prototyping to accelerate innovation and reduce time to value. Qualifications: Master's Degree required; preferred concentrations in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. PhD preferred in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. 7+ years of experience along with a PhD in a related field OR 10+ years of experience along with a Master's degree in a related field required. Advanced experience developing and deploying machine learning models using Python and modern ML frameworks (e.g., Scikitlearn, PyTorch, TensorFlow). Strong applied expertise across core ML techniques, including regression, tree based models, clustering, deep learning, and NLP. Familiarity with generative AI and LLMs, including prompt engineering, finetuning, embeddings, and vector databases. Solid understanding of MLOps practices, including CI/CD for ML, automated training pipelines, model versioning, monitoring, and model governance. Hands on experience with cloud based ML platforms (AWS, Azure, or GCP) and containerization/orchestration tools such as Docker and Kubernetes. Working knowledge of modern data ecosystems (Snowflake, Redshift) and the ability to collaborate effectively with data engineering teams when needed. Advanced skill in statistical modeling, SQL, and database concepts required. Demonstrated experience leading small technical teams or pods, providing mentorship and technical direction. Familiarity with Logistics industry is preferred. Regular, predictable, full attendance is an essential function of the job Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required. Physical Requirements: -The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. -The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines. -While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg. -Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Penske is an Equal Opportunity Employer. About Penske Logistics Penske Logistics engineers state-of-the-art transportation, warehousing and freight management solutions that deliver powerful business results for market-leading companies. With operations in North America, South America, Europe and Asia, Penske and its associates help businesses move forward by increasing visibility and driving down supply-chain costs. Visit Penske Logistics to learn more. Job Category: Information Technology Job Family: Analytics & Intelligence Address: 3000 Auburn Dr Primary Location: US-OH-Beachwood Employer: Penske Logistics LLC Req ID:
04/04/2026
Full time
Staff Data Scientist Location: Beachwood, OH Shift: Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position Summary: The Staff Data Scientist will be a key role in the Data Science and Analytics team tasked with providing technical leadership for the establishment of enterprise wide capabilities in data science, AI and predictive analytics. The Staff Data Scientist will typically work on 3-5 large projects concurrently that have organization-wide impact. In addition to these projects, the Staff Data Scientist will provide technical consultation, advice and training on all major on-going Data Science and Analytics projects. When required, the Staff Data Scientist will also act as a project manager where vendors, suppliers and consultants are engaged on key strategic and emerging technology initiatives. Major Responsibilities: Identifying High Value Analytics & AI Opportunities Partner with business leaders to identify opportunities where predictive analytics, machine learning, or generative AI can improve productivity, reduce cost, or unlock new capabilities. Develop clear business cases and ROI models to prioritize initiatives and communicate value to senior leadership. Lead Data Science Projects Translate complex business requirements into robust, scalable technical solutions. Select and implement appropriate modeling techniques, including classical ML, deep learning, generative AI, and reinforcement learning where applicable. Oversee the full model lifecycle: data exploration, feature engineering, model development, evaluation, deployment, monitoring, and continuous improvement. Ensure solutions are production ready, maintainable, and aligned with MLOps best practices. Drive organization wide adoption of models and AI systems through clear communication, documentation, and stakeholder engagement. Technical Guidance & Thought Leadership Provide expert consultation on ML algorithms, model tuning, experimentation frameworks, and cloud native data engineering patterns. Mentor data scientists, ML engineers and AI engineers; support skill development in areas such as forecasting, ML modeling, generative AI, vector databases, and modern ETL/ELT workflows. Contribute to the development of internal standards, reusable components, and best practice guidelines. Project Management Develop and maintain project plans, milestones, and communication strategies for strategic initiatives. Facilitate regular updates with stakeholders, executives, and cross functional partners. Coordinate with vendors, consultants, and technology partners when external expertise is required Lead technology change in Data Science, Analytics and AI Evaluate emerging technologies including generative AI platforms, MLOps tools, cloud services, and data engineering frameworks to determine applicability and business value. Recommend and influence adoption of modern, flexible, and scalable technologies that support a unified enterprise data and AI platform. Drive experimentation and prototyping to accelerate innovation and reduce time to value. Qualifications: Master's Degree required; preferred concentrations in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. PhD preferred in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. 7+ years of experience along with a PhD in a related field OR 10+ years of experience along with a Master's degree in a related field required. Advanced experience developing and deploying machine learning models using Python and modern ML frameworks (e.g., Scikitlearn, PyTorch, TensorFlow). Strong applied expertise across core ML techniques, including regression, tree based models, clustering, deep learning, and NLP. Familiarity with generative AI and LLMs, including prompt engineering, finetuning, embeddings, and vector databases. Solid understanding of MLOps practices, including CI/CD for ML, automated training pipelines, model versioning, monitoring, and model governance. Hands on experience with cloud based ML platforms (AWS, Azure, or GCP) and containerization/orchestration tools such as Docker and Kubernetes. Working knowledge of modern data ecosystems (Snowflake, Redshift) and the ability to collaborate effectively with data engineering teams when needed. Advanced skill in statistical modeling, SQL, and database concepts required. Demonstrated experience leading small technical teams or pods, providing mentorship and technical direction. Familiarity with Logistics industry is preferred. Regular, predictable, full attendance is an essential function of the job Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required. Physical Requirements: -The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. -The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines. -While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg. -Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Penske is an Equal Opportunity Employer. About Penske Logistics Penske Logistics engineers state-of-the-art transportation, warehousing and freight management solutions that deliver powerful business results for market-leading companies. With operations in North America, South America, Europe and Asia, Penske and its associates help businesses move forward by increasing visibility and driving down supply-chain costs. Visit Penske Logistics to learn more. Job Category: Information Technology Job Family: Analytics & Intelligence Address: 3000 Auburn Dr Primary Location: US-OH-Beachwood Employer: Penske Logistics LLC Req ID:
Overview Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. We are seeking a Senior Technical Consultant to join our Customer Success team. In this role, you will be engaging with our customers post-sales to develop software solutions on the Appian platform. These applications help companies drive digital transformation and competitive differentiation. Your primary responsibility will be to help lead projects and work throughout the entire project life-cycle to define, design, develop and implement custom software solutions using Appian's low-code platform for our commercial clients. This includes working within an agile environment to understand our client's business processes and technical needs, launch new relational data models in production, developing APIs to integrate with multiple systems, and leading/mentoring consultants through fast-paced software implementations. You will also collaborate with client's technical teams and business users as needed throughout the entire software and development life cycle and drive adoption by empowering clients to become self-sufficient with building process applications on their own. Responsibilities To be successful in this role, you need: Passion for mentoring/developing others and experience leading small teams through post-sale software implementation Ability to work with clients to define business processes and gather functional and technical system requirements Excellent communication skills, passion for technology and continuous learning, and affinity for asking "why" and solving the right problems History of success on cross-functional teams; experience building products using agile methodologies (pair programming, stand-ups, planning sessions, and sprints) Basic understanding of object oriented programming, experience working with relational databases and database design/data modeling, and SQL skills (writing queries, joins, views, etc) Knowledge of software testing practices (test-driven development, automated test suites within a continuous integration framework); integrations experience using APIs such as REST and SOAP, JDBC connections, and web services; familiarity with AWS, AI, Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic Containers (preferred) Basic qualifications 3+ years of experience with hands-on software development or technical consulting B.S./B.A. in Engineering, Computer Science, Information Systems, Mathematics or related field/degree Willingness to travel; 20% to support customer engagement Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. About Appian Appian is a software company that automates business processes. The Appian AI-Powered Process Platform includes everything you need to design, automate, and optimize even the most complex processes, from start to finish. The world's most innovative organizations trust Appian to improve their workflows, unify data, and optimize operations-resulting in better growth and superior customer experiences. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn. Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at . Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Appian's Applicant & Candidate Privacy Notice
04/04/2026
Full time
Overview Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. We are seeking a Senior Technical Consultant to join our Customer Success team. In this role, you will be engaging with our customers post-sales to develop software solutions on the Appian platform. These applications help companies drive digital transformation and competitive differentiation. Your primary responsibility will be to help lead projects and work throughout the entire project life-cycle to define, design, develop and implement custom software solutions using Appian's low-code platform for our commercial clients. This includes working within an agile environment to understand our client's business processes and technical needs, launch new relational data models in production, developing APIs to integrate with multiple systems, and leading/mentoring consultants through fast-paced software implementations. You will also collaborate with client's technical teams and business users as needed throughout the entire software and development life cycle and drive adoption by empowering clients to become self-sufficient with building process applications on their own. Responsibilities To be successful in this role, you need: Passion for mentoring/developing others and experience leading small teams through post-sale software implementation Ability to work with clients to define business processes and gather functional and technical system requirements Excellent communication skills, passion for technology and continuous learning, and affinity for asking "why" and solving the right problems History of success on cross-functional teams; experience building products using agile methodologies (pair programming, stand-ups, planning sessions, and sprints) Basic understanding of object oriented programming, experience working with relational databases and database design/data modeling, and SQL skills (writing queries, joins, views, etc) Knowledge of software testing practices (test-driven development, automated test suites within a continuous integration framework); integrations experience using APIs such as REST and SOAP, JDBC connections, and web services; familiarity with AWS, AI, Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic Containers (preferred) Basic qualifications 3+ years of experience with hands-on software development or technical consulting B.S./B.A. in Engineering, Computer Science, Information Systems, Mathematics or related field/degree Willingness to travel; 20% to support customer engagement Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. About Appian Appian is a software company that automates business processes. The Appian AI-Powered Process Platform includes everything you need to design, automate, and optimize even the most complex processes, from start to finish. The world's most innovative organizations trust Appian to improve their workflows, unify data, and optimize operations-resulting in better growth and superior customer experiences. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn. Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at . Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Appian's Applicant & Candidate Privacy Notice
ZOLLER Inc. is headquartered in Ann Arbor, Michigan, and is widely known as the global market leader in tool presetting and measuring machines, inspection machines and tool management software. We have offices around the world, are expanding continuously and are interested in self-motivated, experienced professionals. ZOLLER, Inc. is currently seeking an Applications Engineer to support our team. Applications Engineer Responsibilities: Software: Calibrating ZOLLER image processing software Modifying software settings according to the customer-specific needs and workflow Modifying software on-site for format generating for machine-specific data transfer Modifying postprocessors based on the customer machine controls Training customers on ZOLLER machine software and hardware: 95% of training is software; 5% mechanical Installing and training TMS Tool Management Solutions software at customer locations Analyzing, testing, modifying customer systems or software based on system design specifications Advising customers on technical specifications; recommending unique software and computer configurations Managing SQL databases hosted on SQL servers Demonstrating software features during ZOLLER meetings or customer presentations Mechanical: Performing maintenance on electronic and pneumatic components Installing and mechanical alignment of ZOLLER tool presetter and measuring machines Consulting with users to determine hardware, software or system functional specifications Training customers on hardware: 95% of training is software; 5% mechanical Analyzing, testing or modification of customer systems Understanding complex customer network infrastructures and recognizing customer needs Reading schematics and wiring diagrams related to electrical components Operating system hardware and software to demonstrate tool presetters and analyze malfunctions Advising and making recommendations to management regarding customer satisfaction, product performance and product improvements Requirements: Must not require sponsorship to work in the United States now or in the future. Bachelor's degree in manufacturing, information technology, software or equivalent work experience Demonstrate strong information technology aptitude, computer networks and related work experience Have experience with computers, networking, software, namely Windows NT and other Windows programs, Microsoft Office, Crystal Reports and DBMS Possess a current passport and valid driver's license Have knowledge of CAM interfaces including Mastercam ESPRIT, Gibbs, Siemens NX, others Have knowledge and experience with NC-programming Work a flexible schedule including weekends Travel Monday through Friday Travel outside of specified region Self-motivation and ability to work independently and within a team This is a full-time position offering competitive salary commensurate with one's experience, 401K with employer contribution, health and dental insurance, PTO and paid holidays. We are interested in a long-term commitment.
04/04/2026
Full time
ZOLLER Inc. is headquartered in Ann Arbor, Michigan, and is widely known as the global market leader in tool presetting and measuring machines, inspection machines and tool management software. We have offices around the world, are expanding continuously and are interested in self-motivated, experienced professionals. ZOLLER, Inc. is currently seeking an Applications Engineer to support our team. Applications Engineer Responsibilities: Software: Calibrating ZOLLER image processing software Modifying software settings according to the customer-specific needs and workflow Modifying software on-site for format generating for machine-specific data transfer Modifying postprocessors based on the customer machine controls Training customers on ZOLLER machine software and hardware: 95% of training is software; 5% mechanical Installing and training TMS Tool Management Solutions software at customer locations Analyzing, testing, modifying customer systems or software based on system design specifications Advising customers on technical specifications; recommending unique software and computer configurations Managing SQL databases hosted on SQL servers Demonstrating software features during ZOLLER meetings or customer presentations Mechanical: Performing maintenance on electronic and pneumatic components Installing and mechanical alignment of ZOLLER tool presetter and measuring machines Consulting with users to determine hardware, software or system functional specifications Training customers on hardware: 95% of training is software; 5% mechanical Analyzing, testing or modification of customer systems Understanding complex customer network infrastructures and recognizing customer needs Reading schematics and wiring diagrams related to electrical components Operating system hardware and software to demonstrate tool presetters and analyze malfunctions Advising and making recommendations to management regarding customer satisfaction, product performance and product improvements Requirements: Must not require sponsorship to work in the United States now or in the future. Bachelor's degree in manufacturing, information technology, software or equivalent work experience Demonstrate strong information technology aptitude, computer networks and related work experience Have experience with computers, networking, software, namely Windows NT and other Windows programs, Microsoft Office, Crystal Reports and DBMS Possess a current passport and valid driver's license Have knowledge of CAM interfaces including Mastercam ESPRIT, Gibbs, Siemens NX, others Have knowledge and experience with NC-programming Work a flexible schedule including weekends Travel Monday through Friday Travel outside of specified region Self-motivation and ability to work independently and within a team This is a full-time position offering competitive salary commensurate with one's experience, 401K with employer contribution, health and dental insurance, PTO and paid holidays. We are interested in a long-term commitment.
Summary: Location: Oakland, CA Duration: 12 Months Note: Only submit candidates currently residing locally in the Bay Area/near work location. Assignment is mainly remote but required on-site in Oakland and/or Dublin 4-5 times per month at manager request. Responsibilities: Perform analysis on complex data models requiring customized reports and data. Develop new or revise existing data analysis to predict business outcomes selecting from various complex variables. Develop and use metrics to develop recommendations related to business strategy and operations. Present findings and recommendations to leaders. Manage small to mid-size projects. Respond to internal and external data requests, ensuring deadlines are met and stakeholders are satisfied. Design effective systems that assist with regulatory filings and various analytical modeling needs based on large volumes of customer and financial data. Requirements: Bachelor of Science in Business, Finance, Economics, Engineering, or related discipline or equivalent work experience required. Minimum 4 years of related work experience. Required Skills: Advanced SQL, Excel, and Power BI knowledge. Strong working experience in data warehousing and business intelligence technologies including knowledge of Relational Database/SQL, SAS, and Business Objects. Strong project management, analytical, and problem-solving experience. Proficiency in Microsoft Office, Project, Power BI, Power Automate, and Excel. Advanced in Information Analysis, Market Research, Metrics and KPI Tracking, Consulting Skills, Project Management skills. Proficient in Operational Monitoring & Analysis, Advocacy and Persuasion, Presentation Skills. Preferred Skills: MBA or graduate degree. Experience in the energy/utility industry. Expert communication and presentation skills. Qualitative and quantitative analytical skills to justify any business changes. Strong presentation and communication skills to deliver findings and recommendations to various levels of management. Adaptable to changing business conditions and ambiguity.
04/04/2026
Full time
Summary: Location: Oakland, CA Duration: 12 Months Note: Only submit candidates currently residing locally in the Bay Area/near work location. Assignment is mainly remote but required on-site in Oakland and/or Dublin 4-5 times per month at manager request. Responsibilities: Perform analysis on complex data models requiring customized reports and data. Develop new or revise existing data analysis to predict business outcomes selecting from various complex variables. Develop and use metrics to develop recommendations related to business strategy and operations. Present findings and recommendations to leaders. Manage small to mid-size projects. Respond to internal and external data requests, ensuring deadlines are met and stakeholders are satisfied. Design effective systems that assist with regulatory filings and various analytical modeling needs based on large volumes of customer and financial data. Requirements: Bachelor of Science in Business, Finance, Economics, Engineering, or related discipline or equivalent work experience required. Minimum 4 years of related work experience. Required Skills: Advanced SQL, Excel, and Power BI knowledge. Strong working experience in data warehousing and business intelligence technologies including knowledge of Relational Database/SQL, SAS, and Business Objects. Strong project management, analytical, and problem-solving experience. Proficiency in Microsoft Office, Project, Power BI, Power Automate, and Excel. Advanced in Information Analysis, Market Research, Metrics and KPI Tracking, Consulting Skills, Project Management skills. Proficient in Operational Monitoring & Analysis, Advocacy and Persuasion, Presentation Skills. Preferred Skills: MBA or graduate degree. Experience in the energy/utility industry. Expert communication and presentation skills. Qualitative and quantitative analytical skills to justify any business changes. Strong presentation and communication skills to deliver findings and recommendations to various levels of management. Adaptable to changing business conditions and ambiguity.
Senior Systems Engineer - IBM i Corporate Headquarters 12575 Uline Drive, Pleasant Prairie, WI 53158 Keep Uline's IBM i systems running seemlessly. As a Senior Systems Engineer, you'll design, optimize and support our mission-critical IBM i infrastructure, ensuring peak performance and reliability. Bring your expertise to a collaborative team that values continuous improvement. Careers Packed with Potential. Backed by 45+ years of success, Uline offers opportunities to grow your career with stability you can count on. Position Responsibilities Lead the daily operation, monitoring and performance tuning of IBM i environments, ensuring systems remain secure, up-to-date and aligned with IT policies. Manage backups, disaster recovery and high-availability solutions. Partner with application and database teams on deployments and troubleshooting. Plan and execute system upgrades, migrations and capacity planning. Maintain clear, accurate documentation of configurations, procedures and policies. Mentor and support the systems engineer team. Minimum Requirements Bachelor's degree in Information Technology, Computer Science or related field. 10+ years of experience with IBM i Technologies including CL, HMC, network configuration, Backup Recovery Media Services, data replication, HA / DR, and performance tuning. Excellent communication, problem-solving and customer service skills. Uline does not participate in the H1-B lottery. Benefits Complete health insurance coverage and 401(k) with 6% employer match that starts day one! Multiple bonus programs. Paid holidays and generous paid time off. Tuition Assistance Program that covers professional continuing education. Employee Perks On-site café and first-class fitness center with complimentary personal trainers. Over four miles of beautifully maintained walking trails. About Uline Uline, a family-owned company, is North America's leading distributor of shipping, industrial, and packaging materials with over 9,800 employees across 14 locations. Uline is a drug-free workplace. All new hires must complete a pre-employment hair follicle drug screening. All positions are on-site. EEO/AA Employer/Vet/Disabled () Our employees make the difference and we are committed to offering exceptional benefits and perks! Explore Uline.jobs to learn more!
04/04/2026
Full time
Senior Systems Engineer - IBM i Corporate Headquarters 12575 Uline Drive, Pleasant Prairie, WI 53158 Keep Uline's IBM i systems running seemlessly. As a Senior Systems Engineer, you'll design, optimize and support our mission-critical IBM i infrastructure, ensuring peak performance and reliability. Bring your expertise to a collaborative team that values continuous improvement. Careers Packed with Potential. Backed by 45+ years of success, Uline offers opportunities to grow your career with stability you can count on. Position Responsibilities Lead the daily operation, monitoring and performance tuning of IBM i environments, ensuring systems remain secure, up-to-date and aligned with IT policies. Manage backups, disaster recovery and high-availability solutions. Partner with application and database teams on deployments and troubleshooting. Plan and execute system upgrades, migrations and capacity planning. Maintain clear, accurate documentation of configurations, procedures and policies. Mentor and support the systems engineer team. Minimum Requirements Bachelor's degree in Information Technology, Computer Science or related field. 10+ years of experience with IBM i Technologies including CL, HMC, network configuration, Backup Recovery Media Services, data replication, HA / DR, and performance tuning. Excellent communication, problem-solving and customer service skills. Uline does not participate in the H1-B lottery. Benefits Complete health insurance coverage and 401(k) with 6% employer match that starts day one! Multiple bonus programs. Paid holidays and generous paid time off. Tuition Assistance Program that covers professional continuing education. Employee Perks On-site café and first-class fitness center with complimentary personal trainers. Over four miles of beautifully maintained walking trails. About Uline Uline, a family-owned company, is North America's leading distributor of shipping, industrial, and packaging materials with over 9,800 employees across 14 locations. Uline is a drug-free workplace. All new hires must complete a pre-employment hair follicle drug screening. All positions are on-site. EEO/AA Employer/Vet/Disabled () Our employees make the difference and we are committed to offering exceptional benefits and perks! Explore Uline.jobs to learn more!