This job is with Allianz Commercial, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. We are looking for an experienced Principal Data Engineer to work hands-on on the re-engineering of an existing enterprise data platform built on Azure Synapse Analytics. The role requires strong technical depth to audit, understand, and validate a complex end-to-end data architecture spanning source ingestion through to consumption - and to help deliver the migration of validated workloads to Databricks. This is hands on role and demands the ability to reverse-engineer existing implementations, assess their correctness, and build to an agreed migration strategy. Key Responsibilities Contribute to the technical assessment and re-engineering of an existing enterprise data platform, spanning all layers from source ingestion through to data consumption Reverse-engineer, document, and validate existing pipeline logic, data models, transformation frameworks, and data governance controls Identify gaps, defects, and technical debt across the platform and remediate where implementations are incorrect or sub-optimal Ensure correctness of data processing patterns including change data capture, slowly changing dimensions, deduplication, and business reconciliation Implement target-state designs aligned to modern lakehouse principles, ensuring feature parity and business logic fidelity during transitions Support platform evolution initiatives, including parallel-run phases where multiple implementations operate simultaneously, validating output consistency before cutover Execute migration of existing workloads to modern data platforms, preserving existing governance and control framework semantics Re-implement ingestion, transformation, and orchestration pipelines on target platforms, maintaining audit, quality, and reconciliation standards Collaborate with business, data governance, and architecture stakeholders to validate embedded business rules and data quality requirements Mentor less experienced engineers, review code and designs, and support decommission planning for legacy components Core Technical Skills Azure Synapse & Data Platform Mandatory hands-on expertise with: Azure Synapse Analytics (Pipelines, Spark Pool, Dedicated SQL Pool) Azure Data Lake Storage Gen2 (ADLS Gen2) Delta Lake on Azure (Synapse Lakehouse patterns) Oracle Golden Gate Replication for real-time source integration Azure Analysis Services and Power BI consumption layer patterns Deep understanding of medallion architecture: Raw / Harmonized / Conformed / Consumption layers Strong knowledge of SCD Type 0/1/2, CDC patterns, soft/hard delete, and retroactive change processing Experience with Synapse SQL Pool - stored procedures, control tables, and data quality validation patterns Experience with audit, balance, and control frameworks - parameterized, modular pipeline governance at enterprise scale Familiarity with config-driven and automation-first pipeline patterns (YAML, PySpark, SQL-driven generation from mapping documents) Databricks & Lakehouse Hands-on experience with Azure Databricks (Delta Live Tables, Unity Catalog preferred) Strong Apache Spark skills (PySpark / Spark SQL) Experience migrating workloads from legacy data warehouse or Synapse environments to a Databricks Lakehouse Ability to re-implement governance and control frameworks natively in Databricks (audit logging, reconciliation, DQ checks) Experience with Delta Lake features: MERGE, CDC, time travel, schema enforcement Data Engineering & Development Strong Python and SQL programming skills Experience with ETL/ELT at scale: denormalization, surrogate keys, directory tables, curated data models Experience integrating complex data sources: Oracle DB, SQL Server, Azure SQL DB, file systems, Salesforce, APIs Strong data modelling skills: relational, dimensional, and lakehouse-oriented DevOps & Automation CI/CD pipelines for data engineering (Azure DevOps / GitHub Actions) Infrastructure as Code (Terraform or ARM) Containerization (Docker) Experience with automated testing frameworks for data pipelines (unit testing, reconciliation-based validation) Nice to Have Experience with Unity Catalog for data governance and lineage Familiarity with Azure Purview for data cataloguing and governance Exposure to real-time and streaming pipelines (Event Hub / Kafka / Kinesis) Experience with GenAI or ML platform integration (MLOps, feature engineering pipelines) Familiarity with monitoring and observability tools (e.g., Dynatrace) Exposure to BI tools (Power BI, Tableau) Experience & Profile 7+ years of hands-on experience in Data Engineering, including platform migration or re-engineering work Proven track record working on existing, complex enterprise data platforms - not just building from scratch Deep knowledge of enterprise data governance patterns: audit trails, reconciliation, data quality controls, SCD versioning Strong analytical mindset: ability to read existing implementations, identify intent versus defect, and make sound re-engineering decisions Primarily hands-on, while comfortable contributing to technical design discussions Strong communication skills - able to engage business, governance, and engineering stakeholders with clarity Experience working in regulated or enterprise-scale environments (financial services a plus) What we offer We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working We believe in rewarding performance and our compensation and benefits package includes health insurance, company bonus scheme, 401(K) with company match, company paid holidays, paid time off, paid volunteer days, tuition reimbursement, paid parental leave, an employee shares program and employee discounts From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered. The annualized base pay range for this role is $110,000 - 150,000. The annual base salary range represents a nationwide market range. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role, and the skills, education, training, credentials and experience of the candidate. The base pay is just one component of the ATA total compensation package. As part of our comprehensive compensation and highly rated benefits programs, ATA also offers eligibility for an incentive-based annual bonus. About Allianz Technology Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges is what makes us a unique employer. We are united by a shared commitment: to put our customers first and at the centre of everything we do. Their needs inspire our thinking and guide our actions. Together, we can build an environment where everyone feels empowered and confident to explore, grow and shape a better future - for our customers and for the world around us. At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. The foundation for this is our inclusive workplace, where people and performance both matter, and where integrity, fairness, inclusion and trust are at the heart of our culture. We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations. Join us. Let's care for tomorrow. You.IT
10/26/2026
Full time
This job is with Allianz Commercial, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. We are looking for an experienced Principal Data Engineer to work hands-on on the re-engineering of an existing enterprise data platform built on Azure Synapse Analytics. The role requires strong technical depth to audit, understand, and validate a complex end-to-end data architecture spanning source ingestion through to consumption - and to help deliver the migration of validated workloads to Databricks. This is hands on role and demands the ability to reverse-engineer existing implementations, assess their correctness, and build to an agreed migration strategy. Key Responsibilities Contribute to the technical assessment and re-engineering of an existing enterprise data platform, spanning all layers from source ingestion through to data consumption Reverse-engineer, document, and validate existing pipeline logic, data models, transformation frameworks, and data governance controls Identify gaps, defects, and technical debt across the platform and remediate where implementations are incorrect or sub-optimal Ensure correctness of data processing patterns including change data capture, slowly changing dimensions, deduplication, and business reconciliation Implement target-state designs aligned to modern lakehouse principles, ensuring feature parity and business logic fidelity during transitions Support platform evolution initiatives, including parallel-run phases where multiple implementations operate simultaneously, validating output consistency before cutover Execute migration of existing workloads to modern data platforms, preserving existing governance and control framework semantics Re-implement ingestion, transformation, and orchestration pipelines on target platforms, maintaining audit, quality, and reconciliation standards Collaborate with business, data governance, and architecture stakeholders to validate embedded business rules and data quality requirements Mentor less experienced engineers, review code and designs, and support decommission planning for legacy components Core Technical Skills Azure Synapse & Data Platform Mandatory hands-on expertise with: Azure Synapse Analytics (Pipelines, Spark Pool, Dedicated SQL Pool) Azure Data Lake Storage Gen2 (ADLS Gen2) Delta Lake on Azure (Synapse Lakehouse patterns) Oracle Golden Gate Replication for real-time source integration Azure Analysis Services and Power BI consumption layer patterns Deep understanding of medallion architecture: Raw / Harmonized / Conformed / Consumption layers Strong knowledge of SCD Type 0/1/2, CDC patterns, soft/hard delete, and retroactive change processing Experience with Synapse SQL Pool - stored procedures, control tables, and data quality validation patterns Experience with audit, balance, and control frameworks - parameterized, modular pipeline governance at enterprise scale Familiarity with config-driven and automation-first pipeline patterns (YAML, PySpark, SQL-driven generation from mapping documents) Databricks & Lakehouse Hands-on experience with Azure Databricks (Delta Live Tables, Unity Catalog preferred) Strong Apache Spark skills (PySpark / Spark SQL) Experience migrating workloads from legacy data warehouse or Synapse environments to a Databricks Lakehouse Ability to re-implement governance and control frameworks natively in Databricks (audit logging, reconciliation, DQ checks) Experience with Delta Lake features: MERGE, CDC, time travel, schema enforcement Data Engineering & Development Strong Python and SQL programming skills Experience with ETL/ELT at scale: denormalization, surrogate keys, directory tables, curated data models Experience integrating complex data sources: Oracle DB, SQL Server, Azure SQL DB, file systems, Salesforce, APIs Strong data modelling skills: relational, dimensional, and lakehouse-oriented DevOps & Automation CI/CD pipelines for data engineering (Azure DevOps / GitHub Actions) Infrastructure as Code (Terraform or ARM) Containerization (Docker) Experience with automated testing frameworks for data pipelines (unit testing, reconciliation-based validation) Nice to Have Experience with Unity Catalog for data governance and lineage Familiarity with Azure Purview for data cataloguing and governance Exposure to real-time and streaming pipelines (Event Hub / Kafka / Kinesis) Experience with GenAI or ML platform integration (MLOps, feature engineering pipelines) Familiarity with monitoring and observability tools (e.g., Dynatrace) Exposure to BI tools (Power BI, Tableau) Experience & Profile 7+ years of hands-on experience in Data Engineering, including platform migration or re-engineering work Proven track record working on existing, complex enterprise data platforms - not just building from scratch Deep knowledge of enterprise data governance patterns: audit trails, reconciliation, data quality controls, SCD versioning Strong analytical mindset: ability to read existing implementations, identify intent versus defect, and make sound re-engineering decisions Primarily hands-on, while comfortable contributing to technical design discussions Strong communication skills - able to engage business, governance, and engineering stakeholders with clarity Experience working in regulated or enterprise-scale environments (financial services a plus) What we offer We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working We believe in rewarding performance and our compensation and benefits package includes health insurance, company bonus scheme, 401(K) with company match, company paid holidays, paid time off, paid volunteer days, tuition reimbursement, paid parental leave, an employee shares program and employee discounts From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered. The annualized base pay range for this role is $110,000 - 150,000. The annual base salary range represents a nationwide market range. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role, and the skills, education, training, credentials and experience of the candidate. The base pay is just one component of the ATA total compensation package. As part of our comprehensive compensation and highly rated benefits programs, ATA also offers eligibility for an incentive-based annual bonus. About Allianz Technology Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges is what makes us a unique employer. We are united by a shared commitment: to put our customers first and at the centre of everything we do. Their needs inspire our thinking and guide our actions. Together, we can build an environment where everyone feels empowered and confident to explore, grow and shape a better future - for our customers and for the world around us. At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. The foundation for this is our inclusive workplace, where people and performance both matter, and where integrity, fairness, inclusion and trust are at the heart of our culture. We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations. Join us. Let's care for tomorrow. You.IT
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. This role offers location flexibility and is open to candidates within one of four locations: Irving, TX, Moon Township, PA, Alpharetta, GA, or Columbus, OH. Candidates based in the Dallas-Fort Worth (DFW) area will be hired in a hybrid capacity and are expected to work onsite at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in office days may be designated based on team needs and business priorities. About the Role The candidate will join the McKesson Pharmacy Systems (MPS) R&D organization. The Senior Software Engineer will be focused on driving sound technical design and architectural guidance for the EnterpriseRx platform, a comprehensive pharmacy workflow solution. The candidate will lead complex technical initiatives from design through delivery, applying deep hands-on expertise while mentoring peers and guiding teams through Agile ceremonies such as user story refinement, technical design discussions, and code reviews. The candidate will partner with cross-functional stakeholders including Product, QA, and Operations to drive scalable, high-quality software delivery, serving as a technical authority for resolving complex defects and championing engineering best practices. The candidate will work with technologies including Angular, Spring Boot, SQL, Azure, Docker, and AI-assisted engineering tools. Limited travel may be required for team planning events. Domain Focus - Core platform capabilities through microservices modernization, cloud-native development, API enablement, automation, and emerging AI technologies. What You'll Do Provides technical leadership for one or more software engineering teams through the full development lifecycle, defining and refining design requirements with stakeholders, architecting scalable solutions, and ensuring interoperability across services. Apply deep technical expertise to solve complex engineering challenges through diagnostic analysis, operational insight, product alignment, and codes solutions independently. Serves as technical lead across one or more applications and functional areas, actively participating in technical design and code reviews. Develops and reviews User Stories and writes and executes unit and integration tests to validate functionality. Remediate defects thoroughly by solving the reported problem, testing to confirm resolution, and leaving the surrounding code in a better state than found. Mentors peers through code reviews, debugging, and refactoring, and establish standards and best practices for consistency, scalability, and reliability across teams. Drives process and productivity improvements in collaboration with cross-functional teams including Product, QA, SREs, Architects, and Project Management, and embeds AI across the SDLC (design, code, test, release, operate). Demonstrates thought leadership through technical guidance, coaching, and participation in senior-leadership discussions, and presents complex topics to business leaders and customers in Sprint Reviews. Understands the retail pharmacy and clinical services domain, learning how customers use McKesson products to manage their business. Minimum Requirement Degree or equivalent and typically requires 7+ years of relevant experience. Education Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience) and Critical Skills 7+ years of software engineering experience. Master's degree with 4+ years of relevant experience preferred. Object-oriented software engineering and RESTful services. Strong proficiency in Java (17/21+), Spring Boot, and Gradle. Experience with event-driven systems such as Kafka. Microservices design and modular architecture with API-first design and integration (OpenAPI, API gateway/OAuth2). Relational databases and SQL (e.g., Oracle), and familiarity with modern data platforms such as Snowflake a plus. Performance monitoring and observability (logs, metrics, traces, SLOs). SDLC and Agile methodologies (Scrum/Kanban/SAFe); version-control systems and collaborative workflows. Preferred Skills AI-assisted development (GitHub Copilot / Claude Code) and interest in building AI capabilities such as agent orchestration/MCP and Responsible AI. Cloud-native engineering on Azure (or comparable): containers, Infrastructure-as-Code, CI/CD, and progressive delivery / feature management. Modern front-end development with Angular and TypeScript for full-stack contribution. Technical strategy development using real-time metrics, performance data, and incident trends, including architecture visualization (Confluence) and roadmap alignment (JIRA). Manual and automated testing tools and frameworks, with secure-coding and compliance in regulated healthcare environments. Ability to learn and implement new technologies and processes. Excellent written and verbal communication skills. Physical Requirements Candidate MUST reside within one of the following four locations: Irving, TX, Moon Township, PA, Alpharetta, GA, or Columbus, OH. Candidate within a 50-mile radius of Irving, TX will be required to be onsite 2 days per week. Requires up to 5% of travel nationwide; 2-3 times per year on average. McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position. This position offers the possibility of a hybrid work arrangement based on recent updates to our in-office/work from home model. If located in DFW area, the selected candidate may be expected to work on site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in office days may be designated according to team needs and business priorities. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $126,000 - $210,000 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted . click apply for full job details
10/25/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. This role offers location flexibility and is open to candidates within one of four locations: Irving, TX, Moon Township, PA, Alpharetta, GA, or Columbus, OH. Candidates based in the Dallas-Fort Worth (DFW) area will be hired in a hybrid capacity and are expected to work onsite at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in office days may be designated based on team needs and business priorities. About the Role The candidate will join the McKesson Pharmacy Systems (MPS) R&D organization. The Senior Software Engineer will be focused on driving sound technical design and architectural guidance for the EnterpriseRx platform, a comprehensive pharmacy workflow solution. The candidate will lead complex technical initiatives from design through delivery, applying deep hands-on expertise while mentoring peers and guiding teams through Agile ceremonies such as user story refinement, technical design discussions, and code reviews. The candidate will partner with cross-functional stakeholders including Product, QA, and Operations to drive scalable, high-quality software delivery, serving as a technical authority for resolving complex defects and championing engineering best practices. The candidate will work with technologies including Angular, Spring Boot, SQL, Azure, Docker, and AI-assisted engineering tools. Limited travel may be required for team planning events. Domain Focus - Core platform capabilities through microservices modernization, cloud-native development, API enablement, automation, and emerging AI technologies. What You'll Do Provides technical leadership for one or more software engineering teams through the full development lifecycle, defining and refining design requirements with stakeholders, architecting scalable solutions, and ensuring interoperability across services. Apply deep technical expertise to solve complex engineering challenges through diagnostic analysis, operational insight, product alignment, and codes solutions independently. Serves as technical lead across one or more applications and functional areas, actively participating in technical design and code reviews. Develops and reviews User Stories and writes and executes unit and integration tests to validate functionality. Remediate defects thoroughly by solving the reported problem, testing to confirm resolution, and leaving the surrounding code in a better state than found. Mentors peers through code reviews, debugging, and refactoring, and establish standards and best practices for consistency, scalability, and reliability across teams. Drives process and productivity improvements in collaboration with cross-functional teams including Product, QA, SREs, Architects, and Project Management, and embeds AI across the SDLC (design, code, test, release, operate). Demonstrates thought leadership through technical guidance, coaching, and participation in senior-leadership discussions, and presents complex topics to business leaders and customers in Sprint Reviews. Understands the retail pharmacy and clinical services domain, learning how customers use McKesson products to manage their business. Minimum Requirement Degree or equivalent and typically requires 7+ years of relevant experience. Education Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience) and Critical Skills 7+ years of software engineering experience. Master's degree with 4+ years of relevant experience preferred. Object-oriented software engineering and RESTful services. Strong proficiency in Java (17/21+), Spring Boot, and Gradle. Experience with event-driven systems such as Kafka. Microservices design and modular architecture with API-first design and integration (OpenAPI, API gateway/OAuth2). Relational databases and SQL (e.g., Oracle), and familiarity with modern data platforms such as Snowflake a plus. Performance monitoring and observability (logs, metrics, traces, SLOs). SDLC and Agile methodologies (Scrum/Kanban/SAFe); version-control systems and collaborative workflows. Preferred Skills AI-assisted development (GitHub Copilot / Claude Code) and interest in building AI capabilities such as agent orchestration/MCP and Responsible AI. Cloud-native engineering on Azure (or comparable): containers, Infrastructure-as-Code, CI/CD, and progressive delivery / feature management. Modern front-end development with Angular and TypeScript for full-stack contribution. Technical strategy development using real-time metrics, performance data, and incident trends, including architecture visualization (Confluence) and roadmap alignment (JIRA). Manual and automated testing tools and frameworks, with secure-coding and compliance in regulated healthcare environments. Ability to learn and implement new technologies and processes. Excellent written and verbal communication skills. Physical Requirements Candidate MUST reside within one of the following four locations: Irving, TX, Moon Township, PA, Alpharetta, GA, or Columbus, OH. Candidate within a 50-mile radius of Irving, TX will be required to be onsite 2 days per week. Requires up to 5% of travel nationwide; 2-3 times per year on average. McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position. This position offers the possibility of a hybrid work arrangement based on recent updates to our in-office/work from home model. If located in DFW area, the selected candidate may be expected to work on site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in office days may be designated according to team needs and business priorities. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $126,000 - $210,000 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted . click apply for full job details
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity Provides support to the Enterprise by delivering reliable technology solutions for a business-critical P&C Auto policy administration platform. Engaged throughout the software systems and application development lifecycle, with an emphasis on Java and Spring Boot development, production troubleshooting, system stability, observability, resilience, refactoring, and performance optimization within a containerized OpenShift and Kubernetes 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 or Plano, TX. 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 years of relevant education and/or experience. 4 years of software development experience demonstrating technical depth in Java, Spring Boot, REST APIs, or similar enterprise application technologies. 2 years of experience delivering technology solutions in all phases of the software systems and application development lifecycle to include leading code/design reviews. Experience developing and supporting containerized services using Docker, Kubernetes, and OpenShift. Experience with event-driven architecture or messaging technologies such as Kafka. 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. What sets you apart: Experience supporting applications that integrate with mainframe or other legacy technologies. Experience applying DevOps or Site Reliability Engineering practices to business-critical production applications. Experience with AWS technologies and services. Experience using automation or AI-assisted tools to improve engineering and production support processes 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.
10/25/2026
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. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity Provides support to the Enterprise by delivering reliable technology solutions for a business-critical P&C Auto policy administration platform. Engaged throughout the software systems and application development lifecycle, with an emphasis on Java and Spring Boot development, production troubleshooting, system stability, observability, resilience, refactoring, and performance optimization within a containerized OpenShift and Kubernetes 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 or Plano, TX. 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 years of relevant education and/or experience. 4 years of software development experience demonstrating technical depth in Java, Spring Boot, REST APIs, or similar enterprise application technologies. 2 years of experience delivering technology solutions in all phases of the software systems and application development lifecycle to include leading code/design reviews. Experience developing and supporting containerized services using Docker, Kubernetes, and OpenShift. Experience with event-driven architecture or messaging technologies such as Kafka. 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. What sets you apart: Experience supporting applications that integrate with mainframe or other legacy technologies. Experience applying DevOps or Site Reliability Engineering practices to business-critical production applications. Experience with AWS technologies and services. Experience using automation or AI-assisted tools to improve engineering and production support processes 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.
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. This role offers location flexibility and is open to candidates within one of four locations: Irving, TX, Moon Township, PA, Alpharetta, GA, or Columbus, OH. Candidates based in the Dallas-Fort Worth (DFW) area will be hired in a hybrid capacity and are expected to work onsite at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in office days may be designated based on team needs and business priorities. About the Role The candidate will join the McKesson Pharmacy Systems (MPS) R&D organization. The Senior Software Engineer will be focused on driving sound technical design and architectural guidance for the EnterpriseRx platform, a comprehensive pharmacy workflow solution. The candidate will lead complex technical initiatives from design through delivery, applying deep hands-on expertise while mentoring peers and guiding teams through Agile ceremonies such as user story refinement, technical design discussions, and code reviews. The candidate will partner with cross-functional stakeholders including Product, QA, and Operations to drive scalable, high-quality software delivery, serving as a technical authority for resolving complex defects and championing engineering best practices. The candidate will work with technologies including Angular, Spring Boot, SQL, Azure, Docker, and AI-assisted engineering tools. Limited travel may be required for team planning events. Domain Focus - Core platform capabilities through microservices modernization, cloud-native development, API enablement, automation, and emerging AI technologies. What You'll Do Provides technical leadership for one or more software engineering teams through the full development lifecycle, defining and refining design requirements with stakeholders, architecting scalable solutions, and ensuring interoperability across services. Apply deep technical expertise to solve complex engineering challenges through diagnostic analysis, operational insight, product alignment, and codes solutions independently. Serves as technical lead across one or more applications and functional areas, actively participating in technical design and code reviews. Develops and reviews User Stories and writes and executes unit and integration tests to validate functionality. Remediate defects thoroughly by solving the reported problem, testing to confirm resolution, and leaving the surrounding code in a better state than found. Mentors peers through code reviews, debugging, and refactoring, and establish standards and best practices for consistency, scalability, and reliability across teams. Drives process and productivity improvements in collaboration with cross-functional teams including Product, QA, SREs, Architects, and Project Management, and embeds AI across the SDLC (design, code, test, release, operate). Demonstrates thought leadership through technical guidance, coaching, and participation in senior-leadership discussions, and presents complex topics to business leaders and customers in Sprint Reviews. Understands the retail pharmacy and clinical services domain, learning how customers use McKesson products to manage their business. Minimum Requirement Degree or equivalent and typically requires 7+ years of relevant experience. Education Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience) and Critical Skills 7+ years of software engineering experience. Master's degree with 4+ years of relevant experience preferred. Object-oriented software engineering and RESTful services. Strong proficiency in Java (17/21+), Spring Boot, and Gradle. Experience with event-driven systems such as Kafka. Microservices design and modular architecture with API-first design and integration (OpenAPI, API gateway/OAuth2). Relational databases and SQL (e.g., Oracle), and familiarity with modern data platforms such as Snowflake a plus. Performance monitoring and observability (logs, metrics, traces, SLOs). SDLC and Agile methodologies (Scrum/Kanban/SAFe); version-control systems and collaborative workflows. Preferred Skills AI-assisted development (GitHub Copilot / Claude Code) and interest in building AI capabilities such as agent orchestration/MCP and Responsible AI. Cloud-native engineering on Azure (or comparable): containers, Infrastructure-as-Code, CI/CD, and progressive delivery / feature management. Modern front-end development with Angular and TypeScript for full-stack contribution. Technical strategy development using real-time metrics, performance data, and incident trends, including architecture visualization (Confluence) and roadmap alignment (JIRA). Manual and automated testing tools and frameworks, with secure-coding and compliance in regulated healthcare environments. Ability to learn and implement new technologies and processes. Excellent written and verbal communication skills. Physical Requirements Candidate MUST reside within one of the following four locations: Irving, TX, Moon Township, PA, Alpharetta, GA, or Columbus, OH. Candidate within a 50-mile radius of Irving, TX will be required to be onsite 2 days per week. Requires up to 5% of travel nationwide; 2-3 times per year on average. McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position. This position offers the possibility of a hybrid work arrangement based on recent updates to our in-office/work from home model. If located in DFW area, the selected candidate may be expected to work on site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in office days may be designated according to team needs and business priorities. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $126,000 - $210,000 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted . click apply for full job details
10/25/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. This role offers location flexibility and is open to candidates within one of four locations: Irving, TX, Moon Township, PA, Alpharetta, GA, or Columbus, OH. Candidates based in the Dallas-Fort Worth (DFW) area will be hired in a hybrid capacity and are expected to work onsite at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in office days may be designated based on team needs and business priorities. About the Role The candidate will join the McKesson Pharmacy Systems (MPS) R&D organization. The Senior Software Engineer will be focused on driving sound technical design and architectural guidance for the EnterpriseRx platform, a comprehensive pharmacy workflow solution. The candidate will lead complex technical initiatives from design through delivery, applying deep hands-on expertise while mentoring peers and guiding teams through Agile ceremonies such as user story refinement, technical design discussions, and code reviews. The candidate will partner with cross-functional stakeholders including Product, QA, and Operations to drive scalable, high-quality software delivery, serving as a technical authority for resolving complex defects and championing engineering best practices. The candidate will work with technologies including Angular, Spring Boot, SQL, Azure, Docker, and AI-assisted engineering tools. Limited travel may be required for team planning events. Domain Focus - Core platform capabilities through microservices modernization, cloud-native development, API enablement, automation, and emerging AI technologies. What You'll Do Provides technical leadership for one or more software engineering teams through the full development lifecycle, defining and refining design requirements with stakeholders, architecting scalable solutions, and ensuring interoperability across services. Apply deep technical expertise to solve complex engineering challenges through diagnostic analysis, operational insight, product alignment, and codes solutions independently. Serves as technical lead across one or more applications and functional areas, actively participating in technical design and code reviews. Develops and reviews User Stories and writes and executes unit and integration tests to validate functionality. Remediate defects thoroughly by solving the reported problem, testing to confirm resolution, and leaving the surrounding code in a better state than found. Mentors peers through code reviews, debugging, and refactoring, and establish standards and best practices for consistency, scalability, and reliability across teams. Drives process and productivity improvements in collaboration with cross-functional teams including Product, QA, SREs, Architects, and Project Management, and embeds AI across the SDLC (design, code, test, release, operate). Demonstrates thought leadership through technical guidance, coaching, and participation in senior-leadership discussions, and presents complex topics to business leaders and customers in Sprint Reviews. Understands the retail pharmacy and clinical services domain, learning how customers use McKesson products to manage their business. Minimum Requirement Degree or equivalent and typically requires 7+ years of relevant experience. Education Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience) and Critical Skills 7+ years of software engineering experience. Master's degree with 4+ years of relevant experience preferred. Object-oriented software engineering and RESTful services. Strong proficiency in Java (17/21+), Spring Boot, and Gradle. Experience with event-driven systems such as Kafka. Microservices design and modular architecture with API-first design and integration (OpenAPI, API gateway/OAuth2). Relational databases and SQL (e.g., Oracle), and familiarity with modern data platforms such as Snowflake a plus. Performance monitoring and observability (logs, metrics, traces, SLOs). SDLC and Agile methodologies (Scrum/Kanban/SAFe); version-control systems and collaborative workflows. Preferred Skills AI-assisted development (GitHub Copilot / Claude Code) and interest in building AI capabilities such as agent orchestration/MCP and Responsible AI. Cloud-native engineering on Azure (or comparable): containers, Infrastructure-as-Code, CI/CD, and progressive delivery / feature management. Modern front-end development with Angular and TypeScript for full-stack contribution. Technical strategy development using real-time metrics, performance data, and incident trends, including architecture visualization (Confluence) and roadmap alignment (JIRA). Manual and automated testing tools and frameworks, with secure-coding and compliance in regulated healthcare environments. Ability to learn and implement new technologies and processes. Excellent written and verbal communication skills. Physical Requirements Candidate MUST reside within one of the following four locations: Irving, TX, Moon Township, PA, Alpharetta, GA, or Columbus, OH. Candidate within a 50-mile radius of Irving, TX will be required to be onsite 2 days per week. Requires up to 5% of travel nationwide; 2-3 times per year on average. McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position. This position offers the possibility of a hybrid work arrangement based on recent updates to our in-office/work from home model. If located in DFW area, the selected candidate may be expected to work on site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in office days may be designated according to team needs and business priorities. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $126,000 - $210,000 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted . click apply for full job details
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. This role offers location flexibility and is open to candidates within one of four locations: Irving, TX, Moon Township, PA, Alpharetta, GA, or Columbus, OH. Candidates based in the Dallas-Fort Worth (DFW) area will be hired in a hybrid capacity and are expected to work onsite at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in office days may be designated based on team needs and business priorities. About the Role The candidate will join the McKesson Pharmacy Systems (MPS) R&D organization. The Senior Software Engineer will be focused on driving sound technical design and architectural guidance for the EnterpriseRx platform, a comprehensive pharmacy workflow solution. The candidate will lead complex technical initiatives from design through delivery, applying deep hands-on expertise while mentoring peers and guiding teams through Agile ceremonies such as user story refinement, technical design discussions, and code reviews. The candidate will partner with cross-functional stakeholders including Product, QA, and Operations to drive scalable, high-quality software delivery, serving as a technical authority for resolving complex defects and championing engineering best practices. The candidate will work with technologies including Angular, Spring Boot, SQL, Azure, Docker, and AI-assisted engineering tools. Limited travel may be required for team planning events. Domain Focus - Core platform capabilities through microservices modernization, cloud-native development, API enablement, automation, and emerging AI technologies. What You'll Do Provides technical leadership for one or more software engineering teams through the full development lifecycle, defining and refining design requirements with stakeholders, architecting scalable solutions, and ensuring interoperability across services. Apply deep technical expertise to solve complex engineering challenges through diagnostic analysis, operational insight, product alignment, and codes solutions independently. Serves as technical lead across one or more applications and functional areas, actively participating in technical design and code reviews. Develops and reviews User Stories and writes and executes unit and integration tests to validate functionality. Remediate defects thoroughly by solving the reported problem, testing to confirm resolution, and leaving the surrounding code in a better state than found. Mentors peers through code reviews, debugging, and refactoring, and establish standards and best practices for consistency, scalability, and reliability across teams. Drives process and productivity improvements in collaboration with cross-functional teams including Product, QA, SREs, Architects, and Project Management, and embeds AI across the SDLC (design, code, test, release, operate). Demonstrates thought leadership through technical guidance, coaching, and participation in senior-leadership discussions, and presents complex topics to business leaders and customers in Sprint Reviews. Understands the retail pharmacy and clinical services domain, learning how customers use McKesson products to manage their business. Minimum Requirement Degree or equivalent and typically requires 7+ years of relevant experience. Education Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience) and Critical Skills 7+ years of software engineering experience. Master's degree with 4+ years of relevant experience preferred. Object-oriented software engineering and RESTful services. Strong proficiency in Java (17/21+), Spring Boot, and Gradle. Experience with event-driven systems such as Kafka. Microservices design and modular architecture with API-first design and integration (OpenAPI, API gateway/OAuth2). Relational databases and SQL (e.g., Oracle), and familiarity with modern data platforms such as Snowflake a plus. Performance monitoring and observability (logs, metrics, traces, SLOs). SDLC and Agile methodologies (Scrum/Kanban/SAFe); version-control systems and collaborative workflows. Preferred Skills AI-assisted development (GitHub Copilot / Claude Code) and interest in building AI capabilities such as agent orchestration/MCP and Responsible AI. Cloud-native engineering on Azure (or comparable): containers, Infrastructure-as-Code, CI/CD, and progressive delivery / feature management. Modern front-end development with Angular and TypeScript for full-stack contribution. Technical strategy development using real-time metrics, performance data, and incident trends, including architecture visualization (Confluence) and roadmap alignment (JIRA). Manual and automated testing tools and frameworks, with secure-coding and compliance in regulated healthcare environments. Ability to learn and implement new technologies and processes. Excellent written and verbal communication skills. Physical Requirements Candidate MUST reside within one of the following four locations: Irving, TX, Moon Township, PA, Alpharetta, GA, or Columbus, OH. Candidate within a 50-mile radius of Irving, TX will be required to be onsite 2 days per week. Requires up to 5% of travel nationwide; 2-3 times per year on average. McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position. This position offers the possibility of a hybrid work arrangement based on recent updates to our in-office/work from home model. If located in DFW area, the selected candidate may be expected to work on site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in office days may be designated according to team needs and business priorities. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $126,000 - $210,000 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted . click apply for full job details
10/25/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. This role offers location flexibility and is open to candidates within one of four locations: Irving, TX, Moon Township, PA, Alpharetta, GA, or Columbus, OH. Candidates based in the Dallas-Fort Worth (DFW) area will be hired in a hybrid capacity and are expected to work onsite at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in office days may be designated based on team needs and business priorities. About the Role The candidate will join the McKesson Pharmacy Systems (MPS) R&D organization. The Senior Software Engineer will be focused on driving sound technical design and architectural guidance for the EnterpriseRx platform, a comprehensive pharmacy workflow solution. The candidate will lead complex technical initiatives from design through delivery, applying deep hands-on expertise while mentoring peers and guiding teams through Agile ceremonies such as user story refinement, technical design discussions, and code reviews. The candidate will partner with cross-functional stakeholders including Product, QA, and Operations to drive scalable, high-quality software delivery, serving as a technical authority for resolving complex defects and championing engineering best practices. The candidate will work with technologies including Angular, Spring Boot, SQL, Azure, Docker, and AI-assisted engineering tools. Limited travel may be required for team planning events. Domain Focus - Core platform capabilities through microservices modernization, cloud-native development, API enablement, automation, and emerging AI technologies. What You'll Do Provides technical leadership for one or more software engineering teams through the full development lifecycle, defining and refining design requirements with stakeholders, architecting scalable solutions, and ensuring interoperability across services. Apply deep technical expertise to solve complex engineering challenges through diagnostic analysis, operational insight, product alignment, and codes solutions independently. Serves as technical lead across one or more applications and functional areas, actively participating in technical design and code reviews. Develops and reviews User Stories and writes and executes unit and integration tests to validate functionality. Remediate defects thoroughly by solving the reported problem, testing to confirm resolution, and leaving the surrounding code in a better state than found. Mentors peers through code reviews, debugging, and refactoring, and establish standards and best practices for consistency, scalability, and reliability across teams. Drives process and productivity improvements in collaboration with cross-functional teams including Product, QA, SREs, Architects, and Project Management, and embeds AI across the SDLC (design, code, test, release, operate). Demonstrates thought leadership through technical guidance, coaching, and participation in senior-leadership discussions, and presents complex topics to business leaders and customers in Sprint Reviews. Understands the retail pharmacy and clinical services domain, learning how customers use McKesson products to manage their business. Minimum Requirement Degree or equivalent and typically requires 7+ years of relevant experience. Education Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience) and Critical Skills 7+ years of software engineering experience. Master's degree with 4+ years of relevant experience preferred. Object-oriented software engineering and RESTful services. Strong proficiency in Java (17/21+), Spring Boot, and Gradle. Experience with event-driven systems such as Kafka. Microservices design and modular architecture with API-first design and integration (OpenAPI, API gateway/OAuth2). Relational databases and SQL (e.g., Oracle), and familiarity with modern data platforms such as Snowflake a plus. Performance monitoring and observability (logs, metrics, traces, SLOs). SDLC and Agile methodologies (Scrum/Kanban/SAFe); version-control systems and collaborative workflows. Preferred Skills AI-assisted development (GitHub Copilot / Claude Code) and interest in building AI capabilities such as agent orchestration/MCP and Responsible AI. Cloud-native engineering on Azure (or comparable): containers, Infrastructure-as-Code, CI/CD, and progressive delivery / feature management. Modern front-end development with Angular and TypeScript for full-stack contribution. Technical strategy development using real-time metrics, performance data, and incident trends, including architecture visualization (Confluence) and roadmap alignment (JIRA). Manual and automated testing tools and frameworks, with secure-coding and compliance in regulated healthcare environments. Ability to learn and implement new technologies and processes. Excellent written and verbal communication skills. Physical Requirements Candidate MUST reside within one of the following four locations: Irving, TX, Moon Township, PA, Alpharetta, GA, or Columbus, OH. Candidate within a 50-mile radius of Irving, TX will be required to be onsite 2 days per week. Requires up to 5% of travel nationwide; 2-3 times per year on average. McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position. This position offers the possibility of a hybrid work arrangement based on recent updates to our in-office/work from home model. If located in DFW area, the selected candidate may be expected to work on site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in office days may be designated according to team needs and business priorities. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $126,000 - $210,000 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted . click apply for full job details
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. This role offers location flexibility and is open to candidates within one of four locations: Irving, TX, Moon Township, PA, Alpharetta, GA, or Columbus, OH. Candidates based in the Dallas-Fort Worth (DFW) area will be hired in a hybrid capacity and are expected to work onsite at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in office days may be designated based on team needs and business priorities. About the Role The candidate will join the McKesson Pharmacy Systems (MPS) R&D organization. The Senior Software Engineer will be focused on driving sound technical design and architectural guidance for the EnterpriseRx platform, a comprehensive pharmacy workflow solution. The candidate will lead complex technical initiatives from design through delivery, applying deep hands-on expertise while mentoring peers and guiding teams through Agile ceremonies such as user story refinement, technical design discussions, and code reviews. The candidate will partner with cross-functional stakeholders including Product, QA, and Operations to drive scalable, high-quality software delivery, serving as a technical authority for resolving complex defects and championing engineering best practices. The candidate will work with technologies including Angular, Spring Boot, SQL, Azure, Docker, and AI-assisted engineering tools. Limited travel may be required for team planning events. Domain Focus - Core platform capabilities through microservices modernization, cloud-native development, API enablement, automation, and emerging AI technologies. What You'll Do Provides technical leadership for one or more software engineering teams through the full development lifecycle, defining and refining design requirements with stakeholders, architecting scalable solutions, and ensuring interoperability across services. Apply deep technical expertise to solve complex engineering challenges through diagnostic analysis, operational insight, product alignment, and codes solutions independently. Serves as technical lead across one or more applications and functional areas, actively participating in technical design and code reviews. Develops and reviews User Stories and writes and executes unit and integration tests to validate functionality. Remediate defects thoroughly by solving the reported problem, testing to confirm resolution, and leaving the surrounding code in a better state than found. Mentors peers through code reviews, debugging, and refactoring, and establish standards and best practices for consistency, scalability, and reliability across teams. Drives process and productivity improvements in collaboration with cross-functional teams including Product, QA, SREs, Architects, and Project Management, and embeds AI across the SDLC (design, code, test, release, operate). Demonstrates thought leadership through technical guidance, coaching, and participation in senior-leadership discussions, and presents complex topics to business leaders and customers in Sprint Reviews. Understands the retail pharmacy and clinical services domain, learning how customers use McKesson products to manage their business. Minimum Requirement Degree or equivalent and typically requires 7+ years of relevant experience. Education Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience) and Critical Skills 7+ years of software engineering experience. Master's degree with 4+ years of relevant experience preferred. Object-oriented software engineering and RESTful services. Strong proficiency in Java (17/21+), Spring Boot, and Gradle. Experience with event-driven systems such as Kafka. Microservices design and modular architecture with API-first design and integration (OpenAPI, API gateway/OAuth2). Relational databases and SQL (e.g., Oracle), and familiarity with modern data platforms such as Snowflake a plus. Performance monitoring and observability (logs, metrics, traces, SLOs). SDLC and Agile methodologies (Scrum/Kanban/SAFe); version-control systems and collaborative workflows. Preferred Skills AI-assisted development (GitHub Copilot / Claude Code) and interest in building AI capabilities such as agent orchestration/MCP and Responsible AI. Cloud-native engineering on Azure (or comparable): containers, Infrastructure-as-Code, CI/CD, and progressive delivery / feature management. Modern front-end development with Angular and TypeScript for full-stack contribution. Technical strategy development using real-time metrics, performance data, and incident trends, including architecture visualization (Confluence) and roadmap alignment (JIRA). Manual and automated testing tools and frameworks, with secure-coding and compliance in regulated healthcare environments. Ability to learn and implement new technologies and processes. Excellent written and verbal communication skills. Physical Requirements Candidate MUST reside within one of the following four locations: Irving, TX, Moon Township, PA, Alpharetta, GA, or Columbus, OH. Candidate within a 50-mile radius of Irving, TX will be required to be onsite 2 days per week. Requires up to 5% of travel nationwide; 2-3 times per year on average. McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position. This position offers the possibility of a hybrid work arrangement based on recent updates to our in-office/work from home model. If located in DFW area, the selected candidate may be expected to work on site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in office days may be designated according to team needs and business priorities. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $126,000 - $210,000 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted . click apply for full job details
10/25/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. This role offers location flexibility and is open to candidates within one of four locations: Irving, TX, Moon Township, PA, Alpharetta, GA, or Columbus, OH. Candidates based in the Dallas-Fort Worth (DFW) area will be hired in a hybrid capacity and are expected to work onsite at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in office days may be designated based on team needs and business priorities. About the Role The candidate will join the McKesson Pharmacy Systems (MPS) R&D organization. The Senior Software Engineer will be focused on driving sound technical design and architectural guidance for the EnterpriseRx platform, a comprehensive pharmacy workflow solution. The candidate will lead complex technical initiatives from design through delivery, applying deep hands-on expertise while mentoring peers and guiding teams through Agile ceremonies such as user story refinement, technical design discussions, and code reviews. The candidate will partner with cross-functional stakeholders including Product, QA, and Operations to drive scalable, high-quality software delivery, serving as a technical authority for resolving complex defects and championing engineering best practices. The candidate will work with technologies including Angular, Spring Boot, SQL, Azure, Docker, and AI-assisted engineering tools. Limited travel may be required for team planning events. Domain Focus - Core platform capabilities through microservices modernization, cloud-native development, API enablement, automation, and emerging AI technologies. What You'll Do Provides technical leadership for one or more software engineering teams through the full development lifecycle, defining and refining design requirements with stakeholders, architecting scalable solutions, and ensuring interoperability across services. Apply deep technical expertise to solve complex engineering challenges through diagnostic analysis, operational insight, product alignment, and codes solutions independently. Serves as technical lead across one or more applications and functional areas, actively participating in technical design and code reviews. Develops and reviews User Stories and writes and executes unit and integration tests to validate functionality. Remediate defects thoroughly by solving the reported problem, testing to confirm resolution, and leaving the surrounding code in a better state than found. Mentors peers through code reviews, debugging, and refactoring, and establish standards and best practices for consistency, scalability, and reliability across teams. Drives process and productivity improvements in collaboration with cross-functional teams including Product, QA, SREs, Architects, and Project Management, and embeds AI across the SDLC (design, code, test, release, operate). Demonstrates thought leadership through technical guidance, coaching, and participation in senior-leadership discussions, and presents complex topics to business leaders and customers in Sprint Reviews. Understands the retail pharmacy and clinical services domain, learning how customers use McKesson products to manage their business. Minimum Requirement Degree or equivalent and typically requires 7+ years of relevant experience. Education Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience) and Critical Skills 7+ years of software engineering experience. Master's degree with 4+ years of relevant experience preferred. Object-oriented software engineering and RESTful services. Strong proficiency in Java (17/21+), Spring Boot, and Gradle. Experience with event-driven systems such as Kafka. Microservices design and modular architecture with API-first design and integration (OpenAPI, API gateway/OAuth2). Relational databases and SQL (e.g., Oracle), and familiarity with modern data platforms such as Snowflake a plus. Performance monitoring and observability (logs, metrics, traces, SLOs). SDLC and Agile methodologies (Scrum/Kanban/SAFe); version-control systems and collaborative workflows. Preferred Skills AI-assisted development (GitHub Copilot / Claude Code) and interest in building AI capabilities such as agent orchestration/MCP and Responsible AI. Cloud-native engineering on Azure (or comparable): containers, Infrastructure-as-Code, CI/CD, and progressive delivery / feature management. Modern front-end development with Angular and TypeScript for full-stack contribution. Technical strategy development using real-time metrics, performance data, and incident trends, including architecture visualization (Confluence) and roadmap alignment (JIRA). Manual and automated testing tools and frameworks, with secure-coding and compliance in regulated healthcare environments. Ability to learn and implement new technologies and processes. Excellent written and verbal communication skills. Physical Requirements Candidate MUST reside within one of the following four locations: Irving, TX, Moon Township, PA, Alpharetta, GA, or Columbus, OH. Candidate within a 50-mile radius of Irving, TX will be required to be onsite 2 days per week. Requires up to 5% of travel nationwide; 2-3 times per year on average. McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position. This position offers the possibility of a hybrid work arrangement based on recent updates to our in-office/work from home model. If located in DFW area, the selected candidate may be expected to work on site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in office days may be designated according to team needs and business priorities. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $126,000 - $210,000 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted . click apply for full job details
Job Description About the Company We're looking for an experienced senior or Lead Data Engineer to join our client projects across diverse domains-finance, healthcare, retail, and cloud-based ecosystems. This role involves designing, building, and optimizing large-scale data processing systems, ensuring data availability and integrity across platforms. About the Role This role involves designing, building, and optimizing large-scale data processing systems, ensuring data availability and integrity across platforms. Responsibilities Architect, build, and maintain scalable data pipelines and ETL processes using modern tools and cloud technologies Develop and deploy data ingestion frameworks for structured and unstructured data sources. Work closely with data scientists, analysts, and DevOps teams to design efficient data models and ensure seamless integrations. Optimize performance of large-scale data lakes and warehouses. Implement data governance, lineage, and quality frameworks. Lead and mentor junior data engineers and ensure best practices in data engineering. Qualifications 8+ years of hands-on experience in data engineering, ETL development, and pipeline automation. Required Skills Strong expertise in at least one cloud platform - AWS, Azure, or GCP. Hands-on with Spark, PySpark, Databricks, Kafka, Snowflake, Airflow, SQL, and Python. Experience with data warehousing (Redshift, BigQuery, Synapse, etc.) and streaming technologies. Solid understanding of data modeling, orchestration, and performance tuning. Excellent communication skills and ability to work in collaborative, cross-functional teams. Preferred Skills Experience in data modernization or migration projects. Familiarity with CI/CD pipelines and containerization (Docker/Kubernetes). Pay range and compensation package Full-time W2 contract with client. No C2C Equal Opportunity Statement We are committed to diversity and inclusivity. ? Interested candidates can apply directly or share resumes at Let's build the future of data together
10/25/2026
Full time
Job Description About the Company We're looking for an experienced senior or Lead Data Engineer to join our client projects across diverse domains-finance, healthcare, retail, and cloud-based ecosystems. This role involves designing, building, and optimizing large-scale data processing systems, ensuring data availability and integrity across platforms. About the Role This role involves designing, building, and optimizing large-scale data processing systems, ensuring data availability and integrity across platforms. Responsibilities Architect, build, and maintain scalable data pipelines and ETL processes using modern tools and cloud technologies Develop and deploy data ingestion frameworks for structured and unstructured data sources. Work closely with data scientists, analysts, and DevOps teams to design efficient data models and ensure seamless integrations. Optimize performance of large-scale data lakes and warehouses. Implement data governance, lineage, and quality frameworks. Lead and mentor junior data engineers and ensure best practices in data engineering. Qualifications 8+ years of hands-on experience in data engineering, ETL development, and pipeline automation. Required Skills Strong expertise in at least one cloud platform - AWS, Azure, or GCP. Hands-on with Spark, PySpark, Databricks, Kafka, Snowflake, Airflow, SQL, and Python. Experience with data warehousing (Redshift, BigQuery, Synapse, etc.) and streaming technologies. Solid understanding of data modeling, orchestration, and performance tuning. Excellent communication skills and ability to work in collaborative, cross-functional teams. Preferred Skills Experience in data modernization or migration projects. Familiarity with CI/CD pipelines and containerization (Docker/Kubernetes). Pay range and compensation package Full-time W2 contract with client. No C2C Equal Opportunity Statement We are committed to diversity and inclusivity. ? Interested candidates can apply directly or share resumes at Let's build the future of data together
Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.
10/25/2026
Full time
Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.
Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.
10/25/2026
Full time
Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.
Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.
10/25/2026
Full time
Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.
Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.
10/25/2026
Full time
Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.
Job Description About the Opportunity We are partnering with a leading quantitative trading firm seeking an experienced Storage Infrastructure Engineer to join its Data Engineering Infrastructure team in Chicago. This is a hands-on engineering role focused on building, scaling, and maintaining the large-scale storage and data infrastructure supporting high-frequency trading and quantitative research operations. The position involves working directly with on-premises infrastructure, Linux systems, distributed storage technologies, and enterprise storage platforms. As the firm's data requirements continue to grow, this engineer will contribute to the performance, reliability, and scalability of its underlying storage environment. Key Responsibilities Design, deploy, and operate large-scale data storage infrastructure, including Hadoop, enterprise storage, and S3-compatible platforms. Build, maintain, and scale on-premises storage systems supporting data-intensive workloads. Tune Linux systems for I/O throughput, performance, and reliability. Automate infrastructure configuration and deployment using Ansible, Puppet, or similar automation tools. Implement monitoring and observability using Prometheus and related technologies. Partner with engineering teams to deliver reliable, well-architected data solutions, with a focus on storage and Kafka. Contribute to storage architecture, capacity planning, and infrastructure scalability. Work with distributed storage technologies and support the continued development of the firm's data infrastructure. Required Skills & Experience 5+ years of experience in systems engineering, with a strong focus on data storage infrastructure. Strong Linux fundamentals, including debugging, troubleshooting, and performance tuning for I/O throughput. Hands-on experience building, implementing, operating, or scaling storage systems. Experience working with on-premises infrastructure and distributed storage environments. Hands-on experience with Ansible and Puppet for configuration management and automation. Familiarity with open-source, S3 API-compliant, and enterprise storage technologies. Working knowledge of the Hadoop ecosystem, including YARN. Experience with Java and Python. Experience with Prometheus-based monitoring and alerting. Familiarity with Kubernetes. Comfort working with AI-assisted development tools in an enterprise environment.
10/25/2026
Full time
Job Description About the Opportunity We are partnering with a leading quantitative trading firm seeking an experienced Storage Infrastructure Engineer to join its Data Engineering Infrastructure team in Chicago. This is a hands-on engineering role focused on building, scaling, and maintaining the large-scale storage and data infrastructure supporting high-frequency trading and quantitative research operations. The position involves working directly with on-premises infrastructure, Linux systems, distributed storage technologies, and enterprise storage platforms. As the firm's data requirements continue to grow, this engineer will contribute to the performance, reliability, and scalability of its underlying storage environment. Key Responsibilities Design, deploy, and operate large-scale data storage infrastructure, including Hadoop, enterprise storage, and S3-compatible platforms. Build, maintain, and scale on-premises storage systems supporting data-intensive workloads. Tune Linux systems for I/O throughput, performance, and reliability. Automate infrastructure configuration and deployment using Ansible, Puppet, or similar automation tools. Implement monitoring and observability using Prometheus and related technologies. Partner with engineering teams to deliver reliable, well-architected data solutions, with a focus on storage and Kafka. Contribute to storage architecture, capacity planning, and infrastructure scalability. Work with distributed storage technologies and support the continued development of the firm's data infrastructure. Required Skills & Experience 5+ years of experience in systems engineering, with a strong focus on data storage infrastructure. Strong Linux fundamentals, including debugging, troubleshooting, and performance tuning for I/O throughput. Hands-on experience building, implementing, operating, or scaling storage systems. Experience working with on-premises infrastructure and distributed storage environments. Hands-on experience with Ansible and Puppet for configuration management and automation. Familiarity with open-source, S3 API-compliant, and enterprise storage technologies. Working knowledge of the Hadoop ecosystem, including YARN. Experience with Java and Python. Experience with Prometheus-based monitoring and alerting. Familiarity with Kubernetes. Comfort working with AI-assisted development tools in an enterprise environment.
Job Description Job Title: PKI & Venafi Certificate Lifecycle Management Engineer Location: Chicago, IL Work Model: Hybrid - Onsite Experience: 8+ Years in PKI / Certificate Lifecycle Management Venafi Experience: 5+ Years of Hands-on Administration and Engineering Job Summary We are seeking an experienced PKI & Venafi Certificate Lifecycle Management Engineer to administer, engineer, and automate enterprise certificate lifecycle management solutions. The ideal candidate will have strong hands-on experience with Venafi, Public Key Infrastructure (PKI), TLS/SSL certificates, certificate automation, and enterprise security integrations. This role involves managing the end-to-end certificate lifecycle, onboarding applications into the Certificate Lifecycle Management (CLM) platform, developing automation solutions, supporting PKI infrastructure, and ensuring compliance with enterprise security standards. Key Responsibilities 1. Certificate Lifecycle Management Administer and support enterprise Certificate Lifecycle Management (CLM) services. Manage the complete certificate lifecycle, including discovery, request, issuance, renewal, revocation, deployment, monitoring, and retirement. Maintain certificate inventory, visibility, ownership, and compliance. Identify and remediate expired, expiring, unmanaged, self-signed, and non-compliant certificates. Ensure adherence to enterprise certificate policies and industry standards. 2. Venafi Platform Administration Administer, configure, and maintain the Venafi Trust Protection Platform (TPP) and Venafi SaaS solutions. Configure certificate policies, workflows, Certificate Authorities (CAs), integrations, discovery jobs, notifications, reporting, and access controls. Support platform upgrades, maintenance, enhancements, and technology refresh initiatives. Troubleshoot platform issues and collaborate with Venafi support teams and vendors to implement solutions. Maintain platform stability, security, availability, and operational efficiency. 3. Application Onboarding & Solution Engineering Lead application onboarding into the enterprise Certificate Lifecycle Management platform. Assess application certificate requirements and define appropriate onboarding and deployment strategies. Partner with application, infrastructure, cloud, and security teams to understand application architectures, certificate formats, trust requirements, and operational processes. Design scalable and reusable certificate onboarding and automation patterns. Support certificate integrations across Windows, Linux/Unix, Azure, Kubernetes, WebLogic, IIS, F5, Kafka, Solace, PingFederate, and cloud-native platforms. Provide technical guidance and recommendations to application teams. 4. Certificate Automation & DevSecOps Integration Design, implement, and maintain automated certificate provisioning, renewal, deployment, and validation solutions. Develop automation using Venafi Native Drivers, Venafi APIs, vCert utilities, PowerShell, Python, Ansible, and REST APIs. Integrate certificate lifecycle processes with CI/CD pipelines, GitHub Actions, and Azure DevOps. Automate certificate deployment validation and application restart activities where required. Develop reusable automation frameworks to reduce manual effort, minimize operational risk, and improve service reliability. Collaborate with DevOps and application teams to integrate certificate management into software delivery workflows. 5. PKI Operations & Resiliency Support enterprise PKI infrastructure, Certificate Authority services, and certificate issuance processes. Manage and support root and intermediate Certificate Authorities, Certificate Revocation Lists (CRLs), and related certificate infrastructure. Participate in backup and recovery testing, disaster recovery exercises, and resiliency improvements. Monitor certificate ecosystem health, availability, and performance. Troubleshoot certificate infrastructure issues and participate in major incident response activities. Support cryptographic key management and Hardware Security Module (HSM) integrations, where applicable. 6. Security, Governance & Compliance Support certificate governance, security controls, and compliance initiatives. Ensure adherence to TLS/SSL security standards, certificate issuance policies, cryptographic key management practices, and CA controls. Maintain certificate ownership, metadata, accountability, and audit records. Participate in security audits, control assessments, evidence collection, and remediation activities. Apply security best practices related to authentication, authorization, secrets management, cloud security, and Zero Trust principles. 7. Operational Support & Documentation Provide L2/L3 support for PKI, certificate lifecycle, TLS/SSL, and Venafi-related incidents. Troubleshoot certificate provisioning, renewal failures, trust chain issues, and application integration problems. Support service requests, incident management, problem management, change implementation, and production releases. Participate in maintenance windows, platform upgrades, and release activities. Develop and maintain architecture documents, implementation guides, runbooks, operational procedures, troubleshooting guides, and application onboarding documentation. Deliver knowledge transfer and technical guidance to support teams and application owners. Ensure operational SLAs and service availability targets are met. Required Technical Skills PKI & Cryptography Public Key Infrastructure (PKI) X.509 Certificates and TLS/SSL Certificate Authorities (CA) Certificate Revocation Lists (CRL) and OCSP Cryptographic Key Management Root and Intermediate CA Management Hardware Security Modules (HSM) Code-Signing Certificates Venafi Platform Venafi Trust Protection Platform (TPP) Venafi SaaS Certificate Discovery and Automation Venafi APIs and vCert Utilities Venafi Native Drivers and Adaptable Apps Certificate Lifecycle Workflows Policy Configuration, Reporting, and Governance Platforms & Integrations Windows Server and IIS Linux/Unix Microsoft Azure and Azure Key Vault Kubernetes and cloud-native environments F5 Load Balancers Apache, Tomcat, and WebLogic Kafka and Solace PingFederate ServiceNow Integrations DevOps & Automation PowerShell and Python REST APIs Ansible GitHub Actions Azure DevOps CI/CD Pipeline Integration Infrastructure and Certificate Automation Security Domains Authentication and Authorization Identity and Access Management (IAM) Secrets Management Zero Trust Principles Cloud Security Security Monitoring and Compliance Qualifications & Experience Bachelor's degree in Computer Science, Cybersecurity, Information Systems, or a related field. 8+ years of experience supporting PKI, TLS certificates, or Certificate Lifecycle Management. 5+ years of hands-on experience administering and engineering the Venafi platform. Strong understanding of PKI architecture, certificate lifecycle processes, and enterprise certificate management. Proven experience implementing certificate automation solutions and DevSecOps integrations. Experience supporting enterprise-scale certificate environments and application onboarding. Strong troubleshooting, analytical, and problem-solving skills. Excellent communication, documentation, and stakeholder management skills. Preferred Candidate Profile The ideal candidate is a hands-on PKI and Venafi engineer who can manage enterprise certificate environments, lead application onboarding, implement scalable automation solutions, troubleshoot complex certificate issues, and collaborate effectively with application, infrastructure, cloud, and security teams.
10/25/2026
Full time
Job Description Job Title: PKI & Venafi Certificate Lifecycle Management Engineer Location: Chicago, IL Work Model: Hybrid - Onsite Experience: 8+ Years in PKI / Certificate Lifecycle Management Venafi Experience: 5+ Years of Hands-on Administration and Engineering Job Summary We are seeking an experienced PKI & Venafi Certificate Lifecycle Management Engineer to administer, engineer, and automate enterprise certificate lifecycle management solutions. The ideal candidate will have strong hands-on experience with Venafi, Public Key Infrastructure (PKI), TLS/SSL certificates, certificate automation, and enterprise security integrations. This role involves managing the end-to-end certificate lifecycle, onboarding applications into the Certificate Lifecycle Management (CLM) platform, developing automation solutions, supporting PKI infrastructure, and ensuring compliance with enterprise security standards. Key Responsibilities 1. Certificate Lifecycle Management Administer and support enterprise Certificate Lifecycle Management (CLM) services. Manage the complete certificate lifecycle, including discovery, request, issuance, renewal, revocation, deployment, monitoring, and retirement. Maintain certificate inventory, visibility, ownership, and compliance. Identify and remediate expired, expiring, unmanaged, self-signed, and non-compliant certificates. Ensure adherence to enterprise certificate policies and industry standards. 2. Venafi Platform Administration Administer, configure, and maintain the Venafi Trust Protection Platform (TPP) and Venafi SaaS solutions. Configure certificate policies, workflows, Certificate Authorities (CAs), integrations, discovery jobs, notifications, reporting, and access controls. Support platform upgrades, maintenance, enhancements, and technology refresh initiatives. Troubleshoot platform issues and collaborate with Venafi support teams and vendors to implement solutions. Maintain platform stability, security, availability, and operational efficiency. 3. Application Onboarding & Solution Engineering Lead application onboarding into the enterprise Certificate Lifecycle Management platform. Assess application certificate requirements and define appropriate onboarding and deployment strategies. Partner with application, infrastructure, cloud, and security teams to understand application architectures, certificate formats, trust requirements, and operational processes. Design scalable and reusable certificate onboarding and automation patterns. Support certificate integrations across Windows, Linux/Unix, Azure, Kubernetes, WebLogic, IIS, F5, Kafka, Solace, PingFederate, and cloud-native platforms. Provide technical guidance and recommendations to application teams. 4. Certificate Automation & DevSecOps Integration Design, implement, and maintain automated certificate provisioning, renewal, deployment, and validation solutions. Develop automation using Venafi Native Drivers, Venafi APIs, vCert utilities, PowerShell, Python, Ansible, and REST APIs. Integrate certificate lifecycle processes with CI/CD pipelines, GitHub Actions, and Azure DevOps. Automate certificate deployment validation and application restart activities where required. Develop reusable automation frameworks to reduce manual effort, minimize operational risk, and improve service reliability. Collaborate with DevOps and application teams to integrate certificate management into software delivery workflows. 5. PKI Operations & Resiliency Support enterprise PKI infrastructure, Certificate Authority services, and certificate issuance processes. Manage and support root and intermediate Certificate Authorities, Certificate Revocation Lists (CRLs), and related certificate infrastructure. Participate in backup and recovery testing, disaster recovery exercises, and resiliency improvements. Monitor certificate ecosystem health, availability, and performance. Troubleshoot certificate infrastructure issues and participate in major incident response activities. Support cryptographic key management and Hardware Security Module (HSM) integrations, where applicable. 6. Security, Governance & Compliance Support certificate governance, security controls, and compliance initiatives. Ensure adherence to TLS/SSL security standards, certificate issuance policies, cryptographic key management practices, and CA controls. Maintain certificate ownership, metadata, accountability, and audit records. Participate in security audits, control assessments, evidence collection, and remediation activities. Apply security best practices related to authentication, authorization, secrets management, cloud security, and Zero Trust principles. 7. Operational Support & Documentation Provide L2/L3 support for PKI, certificate lifecycle, TLS/SSL, and Venafi-related incidents. Troubleshoot certificate provisioning, renewal failures, trust chain issues, and application integration problems. Support service requests, incident management, problem management, change implementation, and production releases. Participate in maintenance windows, platform upgrades, and release activities. Develop and maintain architecture documents, implementation guides, runbooks, operational procedures, troubleshooting guides, and application onboarding documentation. Deliver knowledge transfer and technical guidance to support teams and application owners. Ensure operational SLAs and service availability targets are met. Required Technical Skills PKI & Cryptography Public Key Infrastructure (PKI) X.509 Certificates and TLS/SSL Certificate Authorities (CA) Certificate Revocation Lists (CRL) and OCSP Cryptographic Key Management Root and Intermediate CA Management Hardware Security Modules (HSM) Code-Signing Certificates Venafi Platform Venafi Trust Protection Platform (TPP) Venafi SaaS Certificate Discovery and Automation Venafi APIs and vCert Utilities Venafi Native Drivers and Adaptable Apps Certificate Lifecycle Workflows Policy Configuration, Reporting, and Governance Platforms & Integrations Windows Server and IIS Linux/Unix Microsoft Azure and Azure Key Vault Kubernetes and cloud-native environments F5 Load Balancers Apache, Tomcat, and WebLogic Kafka and Solace PingFederate ServiceNow Integrations DevOps & Automation PowerShell and Python REST APIs Ansible GitHub Actions Azure DevOps CI/CD Pipeline Integration Infrastructure and Certificate Automation Security Domains Authentication and Authorization Identity and Access Management (IAM) Secrets Management Zero Trust Principles Cloud Security Security Monitoring and Compliance Qualifications & Experience Bachelor's degree in Computer Science, Cybersecurity, Information Systems, or a related field. 8+ years of experience supporting PKI, TLS certificates, or Certificate Lifecycle Management. 5+ years of hands-on experience administering and engineering the Venafi platform. Strong understanding of PKI architecture, certificate lifecycle processes, and enterprise certificate management. Proven experience implementing certificate automation solutions and DevSecOps integrations. Experience supporting enterprise-scale certificate environments and application onboarding. Strong troubleshooting, analytical, and problem-solving skills. Excellent communication, documentation, and stakeholder management skills. Preferred Candidate Profile The ideal candidate is a hands-on PKI and Venafi engineer who can manage enterprise certificate environments, lead application onboarding, implement scalable automation solutions, troubleshoot complex certificate issues, and collaborate effectively with application, infrastructure, cloud, and security teams.
Job Description Atos is a global leader in digital transformation, providing end-to-end technology solutions in cloud, cybersecurity, data, artificial intelligence, digital workplace, and enterprise applications. With a strong global presence and a commitment to innovation, Atos empowers organizations to accelerate their digital transformation journey through cutting-edge technologies and sustainable business practices. Our teams work with leading enterprises worldwide, delivering impactful solutions that drive business value and operational excellence. Job Title: Java Developer Experience: 4-10 Years Location: Phoenix, AZ (Onsite) Employment Type: Full-Time Role Overview At Atos, we are looking for a skilled and innovative Java Developer with strong expertise in React.js , API Development & Integration , and exposure to AI-powered development tools and solutions . The ideal candidate will be responsible for designing, developing, and maintaining high-performance enterprise applications while leveraging modern AI technologies to enhance development efficiency and business outcomes. The candidate should possess strong backend development expertise using Java technologies, hands-on experience building modern front-end applications with React, and the ability to integrate enterprise systems through secure and scalable APIs. Key Responsibilities Design, develop, test, and deploy scalable enterprise applications using Java , Spring Boot , and React.js . Develop robust RESTful APIs , Microservices, and system integrations. Collaborate with solution architects, business analysts, and product teams to deliver innovative solutions. Build responsive and user-friendly interfaces using React.js and modern front-end frameworks. Integrate AI services and intelligent automation features into enterprise applications. Utilize AI-assisted development tools such as GitHub Copilot , Microsoft Copilot , and Generative AI platforms to improve productivity and code quality. Ensure application security, scalability, performance, and maintainability. Participate in Agile ceremonies, technical reviews, and continuous improvement initiatives. Develop and maintain CI/CD pipelines and DevOps best practices. Troubleshoot and resolve application issues across development and production environments. Required Technical Skills Backend Development Strong experience in Java 8/11/17+ Expertise in Spring Boot , Spring MVC, Spring Security Microservices architecture and distributed systems Strong understanding of object-oriented programming principles Frontend Development Strong experience with React.js JavaScript (ES6+), TypeScript HTML5, CSS3, Bootstrap, Material UI State management libraries (Redux, Context API) API & Integration Strong hands-on experience developing and consuming REST APIs API Security (OAuth2, JWT, OpenID Connect) Experience with API gateways and integration frameworks Knowledge of JSON, XML, and third-party integrations Database & Cloud SQL Server, Oracle, PostgreSQL, or MongoDB Azure, AWS, or GCP exposure Docker and Kubernetes knowledge preferred AI & Emerging Technology Exposure Experience using Microsoft Copilot , GitHub Copilot , ChatGPT, or similar AI-assisted development platforms. Understanding of Generative AI , Prompt Engineering, and AI-based automation. Exposure to integrating AI services such as Azure OpenAI , Azure AI Services, or other AI APIs. Interest in leveraging AI tools to accelerate software development, testing, and documentation activities. Preferred Qualifications Experience working within Agile/Scrum environments. Knowledge of DevOps practices and tools such as Azure DevOps, Jenkins, GitHub Actions. Experience with Kafka, RabbitMQ, or event-driven architectures. Strong analytical, communication, and stakeholder management skills. Education Bachelor's or Master's Degree in Computer Science, Information Technology, Engineering, or a related discipline.
10/25/2026
Full time
Job Description Atos is a global leader in digital transformation, providing end-to-end technology solutions in cloud, cybersecurity, data, artificial intelligence, digital workplace, and enterprise applications. With a strong global presence and a commitment to innovation, Atos empowers organizations to accelerate their digital transformation journey through cutting-edge technologies and sustainable business practices. Our teams work with leading enterprises worldwide, delivering impactful solutions that drive business value and operational excellence. Job Title: Java Developer Experience: 4-10 Years Location: Phoenix, AZ (Onsite) Employment Type: Full-Time Role Overview At Atos, we are looking for a skilled and innovative Java Developer with strong expertise in React.js , API Development & Integration , and exposure to AI-powered development tools and solutions . The ideal candidate will be responsible for designing, developing, and maintaining high-performance enterprise applications while leveraging modern AI technologies to enhance development efficiency and business outcomes. The candidate should possess strong backend development expertise using Java technologies, hands-on experience building modern front-end applications with React, and the ability to integrate enterprise systems through secure and scalable APIs. Key Responsibilities Design, develop, test, and deploy scalable enterprise applications using Java , Spring Boot , and React.js . Develop robust RESTful APIs , Microservices, and system integrations. Collaborate with solution architects, business analysts, and product teams to deliver innovative solutions. Build responsive and user-friendly interfaces using React.js and modern front-end frameworks. Integrate AI services and intelligent automation features into enterprise applications. Utilize AI-assisted development tools such as GitHub Copilot , Microsoft Copilot , and Generative AI platforms to improve productivity and code quality. Ensure application security, scalability, performance, and maintainability. Participate in Agile ceremonies, technical reviews, and continuous improvement initiatives. Develop and maintain CI/CD pipelines and DevOps best practices. Troubleshoot and resolve application issues across development and production environments. Required Technical Skills Backend Development Strong experience in Java 8/11/17+ Expertise in Spring Boot , Spring MVC, Spring Security Microservices architecture and distributed systems Strong understanding of object-oriented programming principles Frontend Development Strong experience with React.js JavaScript (ES6+), TypeScript HTML5, CSS3, Bootstrap, Material UI State management libraries (Redux, Context API) API & Integration Strong hands-on experience developing and consuming REST APIs API Security (OAuth2, JWT, OpenID Connect) Experience with API gateways and integration frameworks Knowledge of JSON, XML, and third-party integrations Database & Cloud SQL Server, Oracle, PostgreSQL, or MongoDB Azure, AWS, or GCP exposure Docker and Kubernetes knowledge preferred AI & Emerging Technology Exposure Experience using Microsoft Copilot , GitHub Copilot , ChatGPT, or similar AI-assisted development platforms. Understanding of Generative AI , Prompt Engineering, and AI-based automation. Exposure to integrating AI services such as Azure OpenAI , Azure AI Services, or other AI APIs. Interest in leveraging AI tools to accelerate software development, testing, and documentation activities. Preferred Qualifications Experience working within Agile/Scrum environments. Knowledge of DevOps practices and tools such as Azure DevOps, Jenkins, GitHub Actions. Experience with Kafka, RabbitMQ, or event-driven architectures. Strong analytical, communication, and stakeholder management skills. Education Bachelor's or Master's Degree in Computer Science, Information Technology, Engineering, or a related discipline.
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 11 About the Role S&P Dow Jones Indices is seeking a highly experienced Lead Software Engineer to play a pivotal role in developing and maintaining our Fixed Income platforms. In this position, you will contribute to building scalable, reliable, and auditable solutions that support our index offerings. You will evaluate emerging technologies, lead system design efforts, and ensure the delivery of high-quality financial applications. This role involves hands-on development, team mentorship, and collaboration across cross-functional teams to drive innovation and operational excellence. The Team Our Fixed Income value stream focuses on delivering robust calculation engines essential for managing our fixed income indices. We operate with a product-first mindset, following Agile principles, and are committed to modernizing our technology stack to meet evolving industry standards. As a leader in this space, you will help shape the future of our index processing capabilities. Responsibilities Design and develop high-performance calculation engines and services for fixed income indices, processing large-scale financial data efficiently. Collaborate with cross-functional teams to implement scalable, reliable solutions supporting critical business operations and client needs. Drive technical excellence through code reviews, architecture discussions, and establishing best practices for system reliability and maintainability. Work within Agile development cycles to deliver features that enhance our fixed income technology platform, aligning with industry standards. Mentor junior developers, fostering technical growth and knowledge sharing within the team. Lead initiatives to modernize existing systems and adopt new technologies to improve performance, scalability, and maintainability. Architect and oversee calculation engines and analytics services, balancing latency, throughput, cost, and accuracy. Implement end-to-end data lineage, reconciliation, anomaly detection, reproducibility, auditability, and version control across analytics models and data inputs/outputs. Lead, mentor, and grow a team of engineers and quantitative developers, setting clear expectations for technical quality and rigor. AI Integration: Design, develop, and deploy AI-driven solutions and machine learning models to enhance financial data processing, anomaly detection, data reconciliation, and advanced analytics. Independent Execution: Operate with a high degree of autonomy, quickly ramping up on complex financial domains and new technologies to drive the platform build-out with minimal oversight. What We're Looking For: Basic Required Qualifications: 10+ years of software development experience with Enterprise Java Development: Java 17/21 or equivalent JVM languages (such as Kotlin, Scala), including concurrency, JVM tuning, and memory management Enterprise Framework Experience: Spring ecosystem (Spring Boot, Spring Cloud, Spring Security) or comparable enterprise frameworks such as Quarkus, Micronaut, or Jakarta EE Distributed Systems Architecture: Microservices design patterns, RESTful API development, and experience with message brokers such as Kafka, RabbitMQ, Apache Pulsar, or Amazon SQS AI Engineering: hands-on experience building, deploying, and integrating AI/ML models, generative AI, or AI-driven analytics into enterprise software platforms Proficiency with cloud platforms such as AWS, Azure, or Google Cloud. Extensive experience with SQL and NoSQL database technologies, including but not limited to PostgreSQL, document databases like MongoDB, and distributed databases such as Cassandra. Proven expertise in fixed income system design and analytics. Solid understanding of Agile methodologies and product development lifecycle. Cloud Expertise: Deep, hands-on proficiency with AWS for building scalable, distributed systems and microservices architectures. Autonomy & Agility: Demonstrated ability to work independently, learn complex new systems rapidly, and successfully lead greenfield platform buildouts. Additional Preferred Qualifications: Experience in financial services, especially fixed income securities, indices, or calculation engines. Experience with Python or other scripting languages for data processing and automation. Knowledge of containerization technologies such as Docker, orchestration platforms like Kubernetes, or enterprise container platforms including OpenShift. Experience with CI/CD platforms and DevOps practices using tools such as Jenkins, GitLab CI, or Azure DevOps. Familiarity with performance optimization and high-frequency data processing systems. Experience with AI-augmented software engineering practices and AI coding assistants. Compensation/Benefits Information (US Applicants Only): S&P Global states that the anticipated base salary range for this position is $103,805 - $174,106. Final base salary for this role will be based on the individual's geographical location as well as experience and qualifications for the role. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . About S&P Global Dow Jones Indic e s At S&P Dow Jones Indices, we provide iconic and innovative index solutions backed by unparalleled expertise across the asset-class spectrum. By bringing transparency to the global capital markets, we empower investors everywhere to make decisions with conviction. We're the largest global resource for index-based concepts, data and research, and home to iconic financial market indicators, such as the S&P 500 and the Dow Jones Industrial Average . More assets are invested in products based upon our indices than any other index provider in the world. With over USD 7.4 trillion in passively managed assets linked to our indices and over USD 11.3 trillion benchmarked to our indices, our solutions are widely considered indispensable in tracking market performance, evaluating portfolios and developing investment strategies. S&P Dow Jones Indices is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit . What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global: At S&P Global . click apply for full job details
10/24/2026
Full time
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 11 About the Role S&P Dow Jones Indices is seeking a highly experienced Lead Software Engineer to play a pivotal role in developing and maintaining our Fixed Income platforms. In this position, you will contribute to building scalable, reliable, and auditable solutions that support our index offerings. You will evaluate emerging technologies, lead system design efforts, and ensure the delivery of high-quality financial applications. This role involves hands-on development, team mentorship, and collaboration across cross-functional teams to drive innovation and operational excellence. The Team Our Fixed Income value stream focuses on delivering robust calculation engines essential for managing our fixed income indices. We operate with a product-first mindset, following Agile principles, and are committed to modernizing our technology stack to meet evolving industry standards. As a leader in this space, you will help shape the future of our index processing capabilities. Responsibilities Design and develop high-performance calculation engines and services for fixed income indices, processing large-scale financial data efficiently. Collaborate with cross-functional teams to implement scalable, reliable solutions supporting critical business operations and client needs. Drive technical excellence through code reviews, architecture discussions, and establishing best practices for system reliability and maintainability. Work within Agile development cycles to deliver features that enhance our fixed income technology platform, aligning with industry standards. Mentor junior developers, fostering technical growth and knowledge sharing within the team. Lead initiatives to modernize existing systems and adopt new technologies to improve performance, scalability, and maintainability. Architect and oversee calculation engines and analytics services, balancing latency, throughput, cost, and accuracy. Implement end-to-end data lineage, reconciliation, anomaly detection, reproducibility, auditability, and version control across analytics models and data inputs/outputs. Lead, mentor, and grow a team of engineers and quantitative developers, setting clear expectations for technical quality and rigor. AI Integration: Design, develop, and deploy AI-driven solutions and machine learning models to enhance financial data processing, anomaly detection, data reconciliation, and advanced analytics. Independent Execution: Operate with a high degree of autonomy, quickly ramping up on complex financial domains and new technologies to drive the platform build-out with minimal oversight. What We're Looking For: Basic Required Qualifications: 10+ years of software development experience with Enterprise Java Development: Java 17/21 or equivalent JVM languages (such as Kotlin, Scala), including concurrency, JVM tuning, and memory management Enterprise Framework Experience: Spring ecosystem (Spring Boot, Spring Cloud, Spring Security) or comparable enterprise frameworks such as Quarkus, Micronaut, or Jakarta EE Distributed Systems Architecture: Microservices design patterns, RESTful API development, and experience with message brokers such as Kafka, RabbitMQ, Apache Pulsar, or Amazon SQS AI Engineering: hands-on experience building, deploying, and integrating AI/ML models, generative AI, or AI-driven analytics into enterprise software platforms Proficiency with cloud platforms such as AWS, Azure, or Google Cloud. Extensive experience with SQL and NoSQL database technologies, including but not limited to PostgreSQL, document databases like MongoDB, and distributed databases such as Cassandra. Proven expertise in fixed income system design and analytics. Solid understanding of Agile methodologies and product development lifecycle. Cloud Expertise: Deep, hands-on proficiency with AWS for building scalable, distributed systems and microservices architectures. Autonomy & Agility: Demonstrated ability to work independently, learn complex new systems rapidly, and successfully lead greenfield platform buildouts. Additional Preferred Qualifications: Experience in financial services, especially fixed income securities, indices, or calculation engines. Experience with Python or other scripting languages for data processing and automation. Knowledge of containerization technologies such as Docker, orchestration platforms like Kubernetes, or enterprise container platforms including OpenShift. Experience with CI/CD platforms and DevOps practices using tools such as Jenkins, GitLab CI, or Azure DevOps. Familiarity with performance optimization and high-frequency data processing systems. Experience with AI-augmented software engineering practices and AI coding assistants. Compensation/Benefits Information (US Applicants Only): S&P Global states that the anticipated base salary range for this position is $103,805 - $174,106. Final base salary for this role will be based on the individual's geographical location as well as experience and qualifications for the role. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . About S&P Global Dow Jones Indic e s At S&P Dow Jones Indices, we provide iconic and innovative index solutions backed by unparalleled expertise across the asset-class spectrum. By bringing transparency to the global capital markets, we empower investors everywhere to make decisions with conviction. We're the largest global resource for index-based concepts, data and research, and home to iconic financial market indicators, such as the S&P 500 and the Dow Jones Industrial Average . More assets are invested in products based upon our indices than any other index provider in the world. With over USD 7.4 trillion in passively managed assets linked to our indices and over USD 11.3 trillion benchmarked to our indices, our solutions are widely considered indispensable in tracking market performance, evaluating portfolios and developing investment strategies. S&P Dow Jones Indices is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit . What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global: At S&P Global . click apply for full job details
Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence has an immediate need for a Senior AI Data Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice. You'll apply advanced AI and data engineering expertise to design, build, and deploy data-driven solutions. You'll drive agentic AI development lifecycles and collaborate across engineering, data, and stakeholder teams to deliver high-impact, cloud-native AI capabilities that advance federal missions. Responsibilities include, but are not limited to the duties listed below Data Integrations for Generative AI & LLM Usage Build and optimize data pipelines that prepare, clean, and structure data for generative AI and LLM usage. Data Lake & Warehouse Engineering Manage and organize large datasets across cloud platforms (e.g., AWS, Azure, GCP) using data lake and warehouse technologies. Implement medallion architecture (Bronze/Silver/Gold layers) to ensure data quality, lineage, and accessibility. Database Management & Performance Work with both SQL and NoSQL systems to model, query, and load large-scale datasets. Monitor, tune, and maintain high-performance data stores supporting analytics and reporting. Collaborative Engineering Work alongside data engineers, software engineers, and data scientists to develop operational agentic AI systems. Cloud Enablement Help automate model deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, and container orchestration tools. Production Monitoring & Optimization Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability. Technical Rigor & Documentation Write clean, well-documented code following industry and federal guidelines, support reproducible development. Professional Growth Stay current on AI/ML trends and tools and actively learn from senior team members through mentorship and technical design reviews. Requirements U.S. Citizenship with eligibility for DoD Secret clearance. Bachelor's or Master's in Computer Science, Data/AI/ML, or a related field. 7+ years of hands-on experience delivering Data/AI/ML solutions. Strong understanding of ETL, ELT, and other similar data pipeline processes, as well as Enterprise Data and Storage Systems, such as experience with OpenSearch/Elastic Search, Kafka, Bedrock, Glue, DataBricks, Snowflake, AWS S3, RDS, EBS, or Glacier Experience with vector databases, embeddings, and their affiliated data structures, file formats, services, APIs, etc (e.g. FAISS, PGVector, OpenSearch/Elasticsearch, Hugging face with Pinecone, Bedrock Knowledge Base) Experience in generative AI, working with LLMs, adding tool calls (MCP) and agents (A2A). Understanding of leading AI APIs such as OpenAI, Anthropic, Gemini, Bedrock, Vertex for use with LLMs and RAG search. Familiarity with CI/CD pipelines (GitLab/GitHub/Jenkins) Experience with VS Code and AI extensions such as Cline and Claude Code. Strong communication skills and client-oriented mindset. Preferred Curious and experimental about the latest innovations in AI with an orientation toward the relentless pursuit of delivering mission impact. Python proficiency and familiarity with libraries and frameworks (Pyspark, Pandas, uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). Experience with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications. Experience with agentic frameworks such as Agent2Agent Protocol, AWS Bedrock Agents, Mastra, CrewAI, Strands, or AgentCore. Exposure to adjacent skillsets such as data science, UI/UX, cloud engineering, and platform engineering to understand the entire software ecosystem. Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks. Why This Role Matters Real-World Impact - Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being. Growth-Oriented Environment - Learn from technical leaders, innovate within Agentic AI, and mentor those around you in AI best practices. Culture of Empowerment - You'll be part of a team that values innovation, trust, collaboration, and mission success. Salary Range: $115,000 - $155,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources
10/24/2026
Full time
Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence has an immediate need for a Senior AI Data Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice. You'll apply advanced AI and data engineering expertise to design, build, and deploy data-driven solutions. You'll drive agentic AI development lifecycles and collaborate across engineering, data, and stakeholder teams to deliver high-impact, cloud-native AI capabilities that advance federal missions. Responsibilities include, but are not limited to the duties listed below Data Integrations for Generative AI & LLM Usage Build and optimize data pipelines that prepare, clean, and structure data for generative AI and LLM usage. Data Lake & Warehouse Engineering Manage and organize large datasets across cloud platforms (e.g., AWS, Azure, GCP) using data lake and warehouse technologies. Implement medallion architecture (Bronze/Silver/Gold layers) to ensure data quality, lineage, and accessibility. Database Management & Performance Work with both SQL and NoSQL systems to model, query, and load large-scale datasets. Monitor, tune, and maintain high-performance data stores supporting analytics and reporting. Collaborative Engineering Work alongside data engineers, software engineers, and data scientists to develop operational agentic AI systems. Cloud Enablement Help automate model deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, and container orchestration tools. Production Monitoring & Optimization Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability. Technical Rigor & Documentation Write clean, well-documented code following industry and federal guidelines, support reproducible development. Professional Growth Stay current on AI/ML trends and tools and actively learn from senior team members through mentorship and technical design reviews. Requirements U.S. Citizenship with eligibility for DoD Secret clearance. Bachelor's or Master's in Computer Science, Data/AI/ML, or a related field. 7+ years of hands-on experience delivering Data/AI/ML solutions. Strong understanding of ETL, ELT, and other similar data pipeline processes, as well as Enterprise Data and Storage Systems, such as experience with OpenSearch/Elastic Search, Kafka, Bedrock, Glue, DataBricks, Snowflake, AWS S3, RDS, EBS, or Glacier Experience with vector databases, embeddings, and their affiliated data structures, file formats, services, APIs, etc (e.g. FAISS, PGVector, OpenSearch/Elasticsearch, Hugging face with Pinecone, Bedrock Knowledge Base) Experience in generative AI, working with LLMs, adding tool calls (MCP) and agents (A2A). Understanding of leading AI APIs such as OpenAI, Anthropic, Gemini, Bedrock, Vertex for use with LLMs and RAG search. Familiarity with CI/CD pipelines (GitLab/GitHub/Jenkins) Experience with VS Code and AI extensions such as Cline and Claude Code. Strong communication skills and client-oriented mindset. Preferred Curious and experimental about the latest innovations in AI with an orientation toward the relentless pursuit of delivering mission impact. Python proficiency and familiarity with libraries and frameworks (Pyspark, Pandas, uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). Experience with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications. Experience with agentic frameworks such as Agent2Agent Protocol, AWS Bedrock Agents, Mastra, CrewAI, Strands, or AgentCore. Exposure to adjacent skillsets such as data science, UI/UX, cloud engineering, and platform engineering to understand the entire software ecosystem. Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks. Why This Role Matters Real-World Impact - Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being. Growth-Oriented Environment - Learn from technical leaders, innovate within Agentic AI, and mentor those around you in AI best practices. Culture of Empowerment - You'll be part of a team that values innovation, trust, collaboration, and mission success. Salary Range: $115,000 - $155,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources
Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence has an immediate need for a Senior AI Data Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice. You'll apply advanced AI and data engineering expertise to design, build, and deploy data-driven solutions. You'll drive agentic AI development lifecycles and collaborate across engineering, data, and stakeholder teams to deliver high-impact, cloud-native AI capabilities that advance federal missions. Responsibilities include, but are not limited to the duties listed below Data Integrations for Generative AI & LLM Usage Build and optimize data pipelines that prepare, clean, and structure data for generative AI and LLM usage. Data Lake & Warehouse Engineering Manage and organize large datasets across cloud platforms (e.g., AWS, Azure, GCP) using data lake and warehouse technologies. Implement medallion architecture (Bronze/Silver/Gold layers) to ensure data quality, lineage, and accessibility. Database Management & Performance Work with both SQL and NoSQL systems to model, query, and load large-scale datasets. Monitor, tune, and maintain high-performance data stores supporting analytics and reporting. Collaborative Engineering Work alongside data engineers, software engineers, and data scientists to develop operational agentic AI systems. Cloud Enablement Help automate model deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, and container orchestration tools. Production Monitoring & Optimization Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability. Technical Rigor & Documentation Write clean, well-documented code following industry and federal guidelines, support reproducible development. Professional Growth Stay current on AI/ML trends and tools and actively learn from senior team members through mentorship and technical design reviews. Requirements U.S. Citizenship with eligibility for DoD Secret clearance. Bachelor's or Master's in Computer Science, Data/AI/ML, or a related field. 7+ years of hands-on experience delivering Data/AI/ML solutions. Strong understanding of ETL, ELT, and other similar data pipeline processes, as well as Enterprise Data and Storage Systems, such as experience with OpenSearch/Elastic Search, Kafka, Bedrock, Glue, DataBricks, Snowflake, AWS S3, RDS, EBS, or Glacier Experience with vector databases, embeddings, and their affiliated data structures, file formats, services, APIs, etc (e.g. FAISS, PGVector, OpenSearch/Elasticsearch, Hugging face with Pinecone, Bedrock Knowledge Base) Experience in generative AI, working with LLMs, adding tool calls (MCP) and agents (A2A). Understanding of leading AI APIs such as OpenAI, Anthropic, Gemini, Bedrock, Vertex for use with LLMs and RAG search. Familiarity with CI/CD pipelines (GitLab/GitHub/Jenkins) Experience with VS Code and AI extensions such as Cline and Claude Code. Strong communication skills and client-oriented mindset. Preferred Curious and experimental about the latest innovations in AI with an orientation toward the relentless pursuit of delivering mission impact. Python proficiency and familiarity with libraries and frameworks (Pyspark, Pandas, uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). Experience with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications. Experience with agentic frameworks such as Agent2Agent Protocol, AWS Bedrock Agents, Mastra, CrewAI, Strands, or AgentCore. Exposure to adjacent skillsets such as data science, UI/UX, cloud engineering, and platform engineering to understand the entire software ecosystem. Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks. Why This Role Matters Real-World Impact - Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being. Growth-Oriented Environment - Learn from technical leaders, innovate within Agentic AI, and mentor those around you in AI best practices. Culture of Empowerment - You'll be part of a team that values innovation, trust, collaboration, and mission success. Salary Range: $115,000 - $155,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources
10/24/2026
Full time
Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence has an immediate need for a Senior AI Data Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice. You'll apply advanced AI and data engineering expertise to design, build, and deploy data-driven solutions. You'll drive agentic AI development lifecycles and collaborate across engineering, data, and stakeholder teams to deliver high-impact, cloud-native AI capabilities that advance federal missions. Responsibilities include, but are not limited to the duties listed below Data Integrations for Generative AI & LLM Usage Build and optimize data pipelines that prepare, clean, and structure data for generative AI and LLM usage. Data Lake & Warehouse Engineering Manage and organize large datasets across cloud platforms (e.g., AWS, Azure, GCP) using data lake and warehouse technologies. Implement medallion architecture (Bronze/Silver/Gold layers) to ensure data quality, lineage, and accessibility. Database Management & Performance Work with both SQL and NoSQL systems to model, query, and load large-scale datasets. Monitor, tune, and maintain high-performance data stores supporting analytics and reporting. Collaborative Engineering Work alongside data engineers, software engineers, and data scientists to develop operational agentic AI systems. Cloud Enablement Help automate model deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, and container orchestration tools. Production Monitoring & Optimization Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability. Technical Rigor & Documentation Write clean, well-documented code following industry and federal guidelines, support reproducible development. Professional Growth Stay current on AI/ML trends and tools and actively learn from senior team members through mentorship and technical design reviews. Requirements U.S. Citizenship with eligibility for DoD Secret clearance. Bachelor's or Master's in Computer Science, Data/AI/ML, or a related field. 7+ years of hands-on experience delivering Data/AI/ML solutions. Strong understanding of ETL, ELT, and other similar data pipeline processes, as well as Enterprise Data and Storage Systems, such as experience with OpenSearch/Elastic Search, Kafka, Bedrock, Glue, DataBricks, Snowflake, AWS S3, RDS, EBS, or Glacier Experience with vector databases, embeddings, and their affiliated data structures, file formats, services, APIs, etc (e.g. FAISS, PGVector, OpenSearch/Elasticsearch, Hugging face with Pinecone, Bedrock Knowledge Base) Experience in generative AI, working with LLMs, adding tool calls (MCP) and agents (A2A). Understanding of leading AI APIs such as OpenAI, Anthropic, Gemini, Bedrock, Vertex for use with LLMs and RAG search. Familiarity with CI/CD pipelines (GitLab/GitHub/Jenkins) Experience with VS Code and AI extensions such as Cline and Claude Code. Strong communication skills and client-oriented mindset. Preferred Curious and experimental about the latest innovations in AI with an orientation toward the relentless pursuit of delivering mission impact. Python proficiency and familiarity with libraries and frameworks (Pyspark, Pandas, uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). Experience with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications. Experience with agentic frameworks such as Agent2Agent Protocol, AWS Bedrock Agents, Mastra, CrewAI, Strands, or AgentCore. Exposure to adjacent skillsets such as data science, UI/UX, cloud engineering, and platform engineering to understand the entire software ecosystem. Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks. Why This Role Matters Real-World Impact - Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being. Growth-Oriented Environment - Learn from technical leaders, innovate within Agentic AI, and mentor those around you in AI best practices. Culture of Empowerment - You'll be part of a team that values innovation, trust, collaboration, and mission success. Salary Range: $115,000 - $155,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources
Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence has an immediate need for a Senior AI Data Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice. You'll apply advanced AI and data engineering expertise to design, build, and deploy data-driven solutions. You'll drive agentic AI development lifecycles and collaborate across engineering, data, and stakeholder teams to deliver high-impact, cloud-native AI capabilities that advance federal missions. Responsibilities include, but are not limited to the duties listed below Data Integrations for Generative AI & LLM Usage Build and optimize data pipelines that prepare, clean, and structure data for generative AI and LLM usage. Data Lake & Warehouse Engineering Manage and organize large datasets across cloud platforms (e.g., AWS, Azure, GCP) using data lake and warehouse technologies. Implement medallion architecture (Bronze/Silver/Gold layers) to ensure data quality, lineage, and accessibility. Database Management & Performance Work with both SQL and NoSQL systems to model, query, and load large-scale datasets. Monitor, tune, and maintain high-performance data stores supporting analytics and reporting. Collaborative Engineering Work alongside data engineers, software engineers, and data scientists to develop operational agentic AI systems. Cloud Enablement Help automate model deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, and container orchestration tools. Production Monitoring & Optimization Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability. Technical Rigor & Documentation Write clean, well-documented code following industry and federal guidelines, support reproducible development. Professional Growth Stay current on AI/ML trends and tools and actively learn from senior team members through mentorship and technical design reviews. Requirements U.S. Citizenship with eligibility for DoD Secret clearance. Bachelor's or Master's in Computer Science, Data/AI/ML, or a related field. 7+ years of hands-on experience delivering Data/AI/ML solutions. Strong understanding of ETL, ELT, and other similar data pipeline processes, as well as Enterprise Data and Storage Systems, such as experience with OpenSearch/Elastic Search, Kafka, Bedrock, Glue, DataBricks, Snowflake, AWS S3, RDS, EBS, or Glacier Experience with vector databases, embeddings, and their affiliated data structures, file formats, services, APIs, etc (e.g. FAISS, PGVector, OpenSearch/Elasticsearch, Hugging face with Pinecone, Bedrock Knowledge Base) Experience in generative AI, working with LLMs, adding tool calls (MCP) and agents (A2A). Understanding of leading AI APIs such as OpenAI, Anthropic, Gemini, Bedrock, Vertex for use with LLMs and RAG search. Familiarity with CI/CD pipelines (GitLab/GitHub/Jenkins) Experience with VS Code and AI extensions such as Cline and Claude Code. Strong communication skills and client-oriented mindset. Preferred Curious and experimental about the latest innovations in AI with an orientation toward the relentless pursuit of delivering mission impact. Python proficiency and familiarity with libraries and frameworks (Pyspark, Pandas, uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). Experience with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications. Experience with agentic frameworks such as Agent2Agent Protocol, AWS Bedrock Agents, Mastra, CrewAI, Strands, or AgentCore. Exposure to adjacent skillsets such as data science, UI/UX, cloud engineering, and platform engineering to understand the entire software ecosystem. Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks. Why This Role Matters Real-World Impact - Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being. Growth-Oriented Environment - Learn from technical leaders, innovate within Agentic AI, and mentor those around you in AI best practices. Culture of Empowerment - You'll be part of a team that values innovation, trust, collaboration, and mission success. Salary Range: $115,000 - $155,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources
10/24/2026
Full time
Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence has an immediate need for a Senior AI Data Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice. You'll apply advanced AI and data engineering expertise to design, build, and deploy data-driven solutions. You'll drive agentic AI development lifecycles and collaborate across engineering, data, and stakeholder teams to deliver high-impact, cloud-native AI capabilities that advance federal missions. Responsibilities include, but are not limited to the duties listed below Data Integrations for Generative AI & LLM Usage Build and optimize data pipelines that prepare, clean, and structure data for generative AI and LLM usage. Data Lake & Warehouse Engineering Manage and organize large datasets across cloud platforms (e.g., AWS, Azure, GCP) using data lake and warehouse technologies. Implement medallion architecture (Bronze/Silver/Gold layers) to ensure data quality, lineage, and accessibility. Database Management & Performance Work with both SQL and NoSQL systems to model, query, and load large-scale datasets. Monitor, tune, and maintain high-performance data stores supporting analytics and reporting. Collaborative Engineering Work alongside data engineers, software engineers, and data scientists to develop operational agentic AI systems. Cloud Enablement Help automate model deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, and container orchestration tools. Production Monitoring & Optimization Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability. Technical Rigor & Documentation Write clean, well-documented code following industry and federal guidelines, support reproducible development. Professional Growth Stay current on AI/ML trends and tools and actively learn from senior team members through mentorship and technical design reviews. Requirements U.S. Citizenship with eligibility for DoD Secret clearance. Bachelor's or Master's in Computer Science, Data/AI/ML, or a related field. 7+ years of hands-on experience delivering Data/AI/ML solutions. Strong understanding of ETL, ELT, and other similar data pipeline processes, as well as Enterprise Data and Storage Systems, such as experience with OpenSearch/Elastic Search, Kafka, Bedrock, Glue, DataBricks, Snowflake, AWS S3, RDS, EBS, or Glacier Experience with vector databases, embeddings, and their affiliated data structures, file formats, services, APIs, etc (e.g. FAISS, PGVector, OpenSearch/Elasticsearch, Hugging face with Pinecone, Bedrock Knowledge Base) Experience in generative AI, working with LLMs, adding tool calls (MCP) and agents (A2A). Understanding of leading AI APIs such as OpenAI, Anthropic, Gemini, Bedrock, Vertex for use with LLMs and RAG search. Familiarity with CI/CD pipelines (GitLab/GitHub/Jenkins) Experience with VS Code and AI extensions such as Cline and Claude Code. Strong communication skills and client-oriented mindset. Preferred Curious and experimental about the latest innovations in AI with an orientation toward the relentless pursuit of delivering mission impact. Python proficiency and familiarity with libraries and frameworks (Pyspark, Pandas, uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). Experience with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications. Experience with agentic frameworks such as Agent2Agent Protocol, AWS Bedrock Agents, Mastra, CrewAI, Strands, or AgentCore. Exposure to adjacent skillsets such as data science, UI/UX, cloud engineering, and platform engineering to understand the entire software ecosystem. Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks. Why This Role Matters Real-World Impact - Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being. Growth-Oriented Environment - Learn from technical leaders, innovate within Agentic AI, and mentor those around you in AI best practices. Culture of Empowerment - You'll be part of a team that values innovation, trust, collaboration, and mission success. Salary Range: $115,000 - $155,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources
Job Description Job Description Quality Automation Engineer (Python, SQL & API) is a Contract Opportunity for Fortune 500 Manufacturing Company Hands-on Quality Assurance, Automation Engineer or SDET who enjoys testing complex backend systems, working with financial data, and building reliable automation solutions in a regulated enterprise environment. Location: Plano, TX Pay Rate: $58/hour W2 Work Arrangement: Hybrid - Wednesdays mandatory Employment Type: 6-Month Contract with Potential Extension Schedule: Monday-Friday, 8:00 AM-5:00 PM CST Position Overview We are seeking an experienced Quality Automation Engineer to support the development and testing of enterprise financial applications and backend services. This position requires a hands-on QA professional with expertise in Python automation, pytest, SQL, REST API testing, and financial data validation. The ideal candidate has experience testing complex transaction-processing systems, developing automated testing frameworks, and ensuring applications meet security, compliance, and internal control requirements. This role involves close collaboration with software engineers, business stakeholders, and compliance teams to deliver reliable, accurate, and audit-ready solutions. Required Qualifications 3 years minimum hands-on software quality assurance, test automation, or software development engineering in test (SDET). Solid in developing automated tests using Python and Pytest / Py test/ Py-test Familiarity with FastAPI and Python-based backend services. Advanced SQL, including complex joins, subqueries, aggregations, and backend data validation. Experience testing financial applications, banking platforms, payment systems, fintech solutions, or other regulated transaction-processing environments. Hands-on experience testing REST APIs and backend integrations. Experience with SOX compliance, internal controls, access controls, or audit-related testing. Understanding of financial reconciliations, transaction processing, and data accuracy requirements. Experience integrating automated testing into CI/CD pipelines. Knowledge of functional, regression, integration, negative, and end-to-end testing methodologies. Key Responsibilities Design, develop, and execute automated test scripts using Python and pytest to validate backend applications, APIs, and financial workflows. Develop comprehensive test plans and execute functional, regression, integration, end-to-end, and nonfunctional testing. Write complex SQL queries to validate financial calculations, transaction records, account balances, and reconciliation processes. Perform REST API testing using Postman, REST Assured, or comparable automation tools. Validate financial transaction lifecycles, including transaction processing, approvals, exceptions, and status changes. Test internal controls, including segregation of duties, role-based access, approval workflows, and unauthorized transaction scenarios. Support SOX compliance testing by maintaining detailed test documentation, traceability, and audit-ready evidence. Validate event-driven architectures, asynchronous messaging, message sequencing, error handling, and transaction processing reliability. Test integrations between financial platforms, microservices, databases, and third-party systems. Integrate automated test suites into CI/CD pipelines to support continuous testing and application releases. Investigate application defects using SQL queries, API responses, system logs, and test execution results. Collaborate with developers, business analysts, accounting teams, and compliance stakeholders to resolve defects and improve testing coverage. Maintain test scripts, test data, execution reports, defect records, and supporting documentation. Preferred Qualifications Experience testing Java-based microservices or distributed applications. Familiarity with Playwright or other modern automation frameworks. Experience with PostgreSQL, AWS, or cloud-based financial applications. Knowledge of Kafka, asynchronous messaging, or event-driven architectures. Experience validating financial valuations, pricing calculations, or accounting-related transactions. Experience testing immutable audit logs, approval controls, and transaction traceability. Understanding of Agile/Scrum development methodologies. Estimated Min Rate : $40.60 Estimated Max Rate : $58.00 What's In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh's network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh's extensive talent community that will provide you with access to Yoh's vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week) Health Savings Account (HSA) (for employees working 20+ hours per week) Life & Disability Insurance (for employees working 20+ hours per week) MetLife Voluntary Benefits Employee Assistance Program (EAP) 401K Retirement Savings Plan Direct Deposit & weekly epayroll Referral Bonus Programs Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit -with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh's hiring clients' preferences. To learn more about Yoh's privacy practices, please see our Candidate Privacy Notice: -notice Stay Safe During Your Job Search Fraudulent recruiting communications have become increasingly common. Emails from Yoh recruiters will only come from email address. Yoh will never ask candidates to pay fees, purchase equipment, send gift cards, or transfer funds as part of the recruiting or hiring process. If you receive a communication that appears suspicious or requests payment, contact Yoh directly before responding or sharing personal information. Company Description Yoh delivers expertise, methodology, and momentum to keep work moving forward. From strategy to execution, we deliver bold ideas and big results through consulting, staffing, and enterprise solutions. Nearly a century after our founding, Yoh remains STEM-centered, collaborative, and committed to client success. Yoh is a proud member of the Day & Zimmermann family of companies. Visit us at Company Description Yoh delivers expertise, methodology, and momentum to keep work moving forward. From strategy to execution, we deliver bold ideas and big results through consulting, staffing, and enterprise solutions. Nearly a century after our founding, Yoh remains STEM-centered, collaborative, and committed to client success. Yoh is a proud member of the Day & Zimmermann family of companies. Visit us at
10/19/2026
Full time
Job Description Job Description Quality Automation Engineer (Python, SQL & API) is a Contract Opportunity for Fortune 500 Manufacturing Company Hands-on Quality Assurance, Automation Engineer or SDET who enjoys testing complex backend systems, working with financial data, and building reliable automation solutions in a regulated enterprise environment. Location: Plano, TX Pay Rate: $58/hour W2 Work Arrangement: Hybrid - Wednesdays mandatory Employment Type: 6-Month Contract with Potential Extension Schedule: Monday-Friday, 8:00 AM-5:00 PM CST Position Overview We are seeking an experienced Quality Automation Engineer to support the development and testing of enterprise financial applications and backend services. This position requires a hands-on QA professional with expertise in Python automation, pytest, SQL, REST API testing, and financial data validation. The ideal candidate has experience testing complex transaction-processing systems, developing automated testing frameworks, and ensuring applications meet security, compliance, and internal control requirements. This role involves close collaboration with software engineers, business stakeholders, and compliance teams to deliver reliable, accurate, and audit-ready solutions. Required Qualifications 3 years minimum hands-on software quality assurance, test automation, or software development engineering in test (SDET). Solid in developing automated tests using Python and Pytest / Py test/ Py-test Familiarity with FastAPI and Python-based backend services. Advanced SQL, including complex joins, subqueries, aggregations, and backend data validation. Experience testing financial applications, banking platforms, payment systems, fintech solutions, or other regulated transaction-processing environments. Hands-on experience testing REST APIs and backend integrations. Experience with SOX compliance, internal controls, access controls, or audit-related testing. Understanding of financial reconciliations, transaction processing, and data accuracy requirements. Experience integrating automated testing into CI/CD pipelines. Knowledge of functional, regression, integration, negative, and end-to-end testing methodologies. Key Responsibilities Design, develop, and execute automated test scripts using Python and pytest to validate backend applications, APIs, and financial workflows. Develop comprehensive test plans and execute functional, regression, integration, end-to-end, and nonfunctional testing. Write complex SQL queries to validate financial calculations, transaction records, account balances, and reconciliation processes. Perform REST API testing using Postman, REST Assured, or comparable automation tools. Validate financial transaction lifecycles, including transaction processing, approvals, exceptions, and status changes. Test internal controls, including segregation of duties, role-based access, approval workflows, and unauthorized transaction scenarios. Support SOX compliance testing by maintaining detailed test documentation, traceability, and audit-ready evidence. Validate event-driven architectures, asynchronous messaging, message sequencing, error handling, and transaction processing reliability. Test integrations between financial platforms, microservices, databases, and third-party systems. Integrate automated test suites into CI/CD pipelines to support continuous testing and application releases. Investigate application defects using SQL queries, API responses, system logs, and test execution results. Collaborate with developers, business analysts, accounting teams, and compliance stakeholders to resolve defects and improve testing coverage. Maintain test scripts, test data, execution reports, defect records, and supporting documentation. Preferred Qualifications Experience testing Java-based microservices or distributed applications. Familiarity with Playwright or other modern automation frameworks. Experience with PostgreSQL, AWS, or cloud-based financial applications. Knowledge of Kafka, asynchronous messaging, or event-driven architectures. Experience validating financial valuations, pricing calculations, or accounting-related transactions. Experience testing immutable audit logs, approval controls, and transaction traceability. Understanding of Agile/Scrum development methodologies. Estimated Min Rate : $40.60 Estimated Max Rate : $58.00 What's In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh's network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh's extensive talent community that will provide you with access to Yoh's vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week) Health Savings Account (HSA) (for employees working 20+ hours per week) Life & Disability Insurance (for employees working 20+ hours per week) MetLife Voluntary Benefits Employee Assistance Program (EAP) 401K Retirement Savings Plan Direct Deposit & weekly epayroll Referral Bonus Programs Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit -with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh's hiring clients' preferences. To learn more about Yoh's privacy practices, please see our Candidate Privacy Notice: -notice Stay Safe During Your Job Search Fraudulent recruiting communications have become increasingly common. Emails from Yoh recruiters will only come from email address. Yoh will never ask candidates to pay fees, purchase equipment, send gift cards, or transfer funds as part of the recruiting or hiring process. If you receive a communication that appears suspicious or requests payment, contact Yoh directly before responding or sharing personal information. Company Description Yoh delivers expertise, methodology, and momentum to keep work moving forward. From strategy to execution, we deliver bold ideas and big results through consulting, staffing, and enterprise solutions. Nearly a century after our founding, Yoh remains STEM-centered, collaborative, and committed to client success. Yoh is a proud member of the Day & Zimmermann family of companies. Visit us at Company Description Yoh delivers expertise, methodology, and momentum to keep work moving forward. From strategy to execution, we deliver bold ideas and big results through consulting, staffing, and enterprise solutions. Nearly a century after our founding, Yoh remains STEM-centered, collaborative, and committed to client success. Yoh is a proud member of the Day & Zimmermann family of companies. Visit us at
Job Description Job Description About : is the world's leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products - Performance (affiliate), Creator (influencer), and Advocate (customer referral) - unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, helps brands show up where it matters most. Today, over 5,000 global brands - including Walmart, Uber, Shopify, Lenovo, L'Oréal, and Fanatics - rely on to power more than 350,000 partnerships that deliver measurable business results. Your Role at : The QA Chapter Lead is responsible for defining, implementing, and overseeing quality assurance strategies to ensure the delivery of high-quality software products for the group. This role bridges technical QA execution and leadership, guiding QA engineers while collaborating closely with development, product, and DevOps teams to embed quality throughout the software development lifecycle What You'll Do: As a QA Chapter Lead for the Data Group, you will lead a critical function focused on both the technical infrastructure and the human element of Quality Assurance. Your responsibilities will include: Quality Strategy & Process Define and maintain QA standards, methodologies, and best practices Establish test strategies for functional, regression, integration, performance, and security testing Ensure quality gates are integrated into CI/CD pipelines Drive continuous improvement of QA processes and tools Leadership & Team Management Lead, mentor, and support QA engineers (manual and automation) Plan QA resource allocation and testing schedules Conduct reviews, provide feedback, and support skill development Promote a culture of quality ownership across teams within the group Test Planning & Execution Own test plans, test cases, and test data strategy Oversee test execution and defect management lifecycle Ensure adequate test coverage and risk-based testing Validate acceptance criteria and release readiness Ensuring coverage for smoke testing post release. Automation & Tooling Drive test automation strategy and framework selection Ensure effective use of automation tools and test management systems Collaborate with DevOps on CI/CD integration Monitor test execution metrics and reporting Stakeholder Collaboration Partner with Product Managers to clarify requirements and acceptance criteria Work closely with Engineering Leads to resolve quality risks Communicate quality status, risks, and metrics to stakeholders Support release planning and go/no-go decisions Partner with QA platform & enablement to evaluate & implement next gen tools & technologies for the QA function. What You Bring: 5+ years of experience in Quality Assurance and/or Software Development Engineering in Test (SDET) roles, with a strong background in test automation and platform development. Leadership experience, ideally leading, mentoring, and growing QA teams for more than a year. Deep expertise in various testing methodologies, tools, and frameworks (e.g., Selenium, Playwright, TestRail, CI/CD integration, API testing). Excellent communication, interpersonal, and collaboration skills, with the ability to influence and align stakeholders across different teams. A proactive and innovative mindset, always seeking ways to improve quality, efficiency, and developer experience. Agentic AI expertise - hands-on experience putting AI at the front of engineering workflows, including MCPs, agents and agent skills, and building or using testing harnesses driven by them. Data-quality experience - hands-on experience testing or monitoring data pipelines, ETL, or warehouse/reporting platforms - cross-system reconciliation, rule/assertion-driven production checks, schema/contract testing for replicated data, and integration testing against real data stores (e.g. BigTable, MySQL, SingleStore, Kafka) - with the judgment to help teams decide when to build on existing tooling, adapt it, or adopt something new. SQL testing experience - experience testing SQL-centric products or query layers - validating parsing and parameter binding of user-authored SQL, injection safety, explain-plan/performance behaviour, and persistence round-trips - with working knowledge of SQL strong enough to independently verify data correctness at the source. Nice To Have: Experience leading test framework migrations. Familiarity with OWASP guidelines and security testing tools preferred. Affiliate & Partnerships Industry Fundamentals Certification by PXA Salary Range: $130,000.00 - $150,000.00 USD per year, plus an additional 5% variable annual bonus contingent on Company performance and eligible to receive a Restricted Stock Unit (RSU) grant. This is the pay range the Company believes is equitable for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Benefits and Perks: At , we believe that when you're happy and fulfilled, you do your best work. That's why we've built a benefits package that supports your well-being, growth, and work-life balance. Medical, Dental, and Vision insurance Office-only catered lunch every Thursday, a healthy snack bar, and great coffee to keep you fueled Flexible spending accounts and 401(k) Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life. Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health. A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval. Investing in Your Growth: We're committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses. Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver. Technology Financial Support: We provide a technology stipend to help you set up your home office and a monthly allowance to cover your internet expenses. is proud to be an equal-opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.
10/19/2026
Full time
Job Description Job Description About : is the world's leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products - Performance (affiliate), Creator (influencer), and Advocate (customer referral) - unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, helps brands show up where it matters most. Today, over 5,000 global brands - including Walmart, Uber, Shopify, Lenovo, L'Oréal, and Fanatics - rely on to power more than 350,000 partnerships that deliver measurable business results. Your Role at : The QA Chapter Lead is responsible for defining, implementing, and overseeing quality assurance strategies to ensure the delivery of high-quality software products for the group. This role bridges technical QA execution and leadership, guiding QA engineers while collaborating closely with development, product, and DevOps teams to embed quality throughout the software development lifecycle What You'll Do: As a QA Chapter Lead for the Data Group, you will lead a critical function focused on both the technical infrastructure and the human element of Quality Assurance. Your responsibilities will include: Quality Strategy & Process Define and maintain QA standards, methodologies, and best practices Establish test strategies for functional, regression, integration, performance, and security testing Ensure quality gates are integrated into CI/CD pipelines Drive continuous improvement of QA processes and tools Leadership & Team Management Lead, mentor, and support QA engineers (manual and automation) Plan QA resource allocation and testing schedules Conduct reviews, provide feedback, and support skill development Promote a culture of quality ownership across teams within the group Test Planning & Execution Own test plans, test cases, and test data strategy Oversee test execution and defect management lifecycle Ensure adequate test coverage and risk-based testing Validate acceptance criteria and release readiness Ensuring coverage for smoke testing post release. Automation & Tooling Drive test automation strategy and framework selection Ensure effective use of automation tools and test management systems Collaborate with DevOps on CI/CD integration Monitor test execution metrics and reporting Stakeholder Collaboration Partner with Product Managers to clarify requirements and acceptance criteria Work closely with Engineering Leads to resolve quality risks Communicate quality status, risks, and metrics to stakeholders Support release planning and go/no-go decisions Partner with QA platform & enablement to evaluate & implement next gen tools & technologies for the QA function. What You Bring: 5+ years of experience in Quality Assurance and/or Software Development Engineering in Test (SDET) roles, with a strong background in test automation and platform development. Leadership experience, ideally leading, mentoring, and growing QA teams for more than a year. Deep expertise in various testing methodologies, tools, and frameworks (e.g., Selenium, Playwright, TestRail, CI/CD integration, API testing). Excellent communication, interpersonal, and collaboration skills, with the ability to influence and align stakeholders across different teams. A proactive and innovative mindset, always seeking ways to improve quality, efficiency, and developer experience. Agentic AI expertise - hands-on experience putting AI at the front of engineering workflows, including MCPs, agents and agent skills, and building or using testing harnesses driven by them. Data-quality experience - hands-on experience testing or monitoring data pipelines, ETL, or warehouse/reporting platforms - cross-system reconciliation, rule/assertion-driven production checks, schema/contract testing for replicated data, and integration testing against real data stores (e.g. BigTable, MySQL, SingleStore, Kafka) - with the judgment to help teams decide when to build on existing tooling, adapt it, or adopt something new. SQL testing experience - experience testing SQL-centric products or query layers - validating parsing and parameter binding of user-authored SQL, injection safety, explain-plan/performance behaviour, and persistence round-trips - with working knowledge of SQL strong enough to independently verify data correctness at the source. Nice To Have: Experience leading test framework migrations. Familiarity with OWASP guidelines and security testing tools preferred. Affiliate & Partnerships Industry Fundamentals Certification by PXA Salary Range: $130,000.00 - $150,000.00 USD per year, plus an additional 5% variable annual bonus contingent on Company performance and eligible to receive a Restricted Stock Unit (RSU) grant. This is the pay range the Company believes is equitable for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Benefits and Perks: At , we believe that when you're happy and fulfilled, you do your best work. That's why we've built a benefits package that supports your well-being, growth, and work-life balance. Medical, Dental, and Vision insurance Office-only catered lunch every Thursday, a healthy snack bar, and great coffee to keep you fueled Flexible spending accounts and 401(k) Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life. Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health. A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval. Investing in Your Growth: We're committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses. Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver. Technology Financial Support: We provide a technology stipend to help you set up your home office and a monthly allowance to cover your internet expenses. is proud to be an equal-opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.
