KAPI LLC
Addison, Texas
Job Description Job Description Work Arrangement: Dallas-based / Hybrid Visa Sponsorship: Not available. Candidates must already be authorized to work in the United States without current or future employer sponsorship. Job Summary We are seeking a highly experienced Senior MLOps Engineer with strong hands-on Snowflake experience to support enterprise machine learning platforms and production ML workloads. The ideal candidate has hands-on experience taking machine learning models from experimentation through production and building the deployment pipelines, monitoring, automation, infrastructure, and governance capabilities required to operate ML solutions reliably at enterprise scale. This role will work closely with Data Scientists, ML Engineers, Data Engineers, Cloud Engineers, and enterprise platform teams. Key Responsibilities Design, build, and maintain enterprise-grade MLOps platforms and pipelines. Operationalize machine learning models developed by Data Science teams. Build automated ML workflows covering training, validation, deployment, monitoring, retraining, and retirement. Implement CI/CD pipelines specifically for machine learning workloads. Establish model registry, versioning, lineage, artifact management, and reproducibility. Implement model monitoring, data drift detection, model drift detection, prediction-quality monitoring, and alerting. Integrate ML workloads with Snowflake-based enterprise data environments . Build and optimize Python- and SQL-based data and ML pipelines. Support Snowflake data ingestion, transformation, compute, security, and ML integrations. Containerize ML workloads using Docker and deploy workloads through Kubernetes or comparable orchestration platforms. Implement logging, observability, alerting, and production support processes. Automate deployment and infrastructure provisioning using modern DevOps and Infrastructure-as-Code practices. Support model governance, approval workflows, lineage, auditability, and access controls. Troubleshoot production ML pipelines, model-serving infrastructure, Snowflake integrations, and performance issues. Develop reusable MLOps frameworks, standards, templates, and best practices. Mandatory Qualifications Candidates must have hands-on production experience in both MLOps and Snowflake . MLOps - Required Strong production experience with: ML model deployment and operationalization Model lifecycle management ML CI/CD Experiment tracking Model registry and versioning Automated model validation Model monitoring Data and model drift detection Retraining pipelines Pipeline orchestration Production troubleshooting Experience with one or more of the following: ML flow Kubeflow AWS SageMaker Azure Machine Learning Airflow Argo Workflows Prefect Dagster Equivalent enterprise MLOps platforms Snowflake - Required Strong hands-on Snowflake experience including: Snowflake architecture Databases, schemas, tables, and views Virtual warehouses Compute management Snowflake security and RBAC Data ingestion and transformation Performance optimization Python integration Snowflake integration with ML pipelines Experience with the following is strongly preferred: Snowpark Snowpark Python Snowflake ML Snowflake Model Registry Snowflake Feature Store Snowflake Tasks and Streams Dynamic Tables Snowpipe Cortex / Snowflake AI capabilities Additional Required Technical Skills Strong Python Strong SQL Git REST APIs Linux Shell scripting Docker CI/CD Cloud platforms such as AWS, Azure, or GCP Preferred Skills Experience with: Kubernetes Terraform GitHub Actions Jenkins GitLab CI/CD Azure DevOps dbt Spark Kafka Grafana CloudWatch Evidently Education and Experience Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Machine Learning, or related field. 6+ years of software, cloud, data, or ML engineering experience. 3+ years of hands-on production MLOps experience. Strong hands-on Snowflake experience. Experience deploying ML models into production. Experience implementing ML CI/CD pipelines. Strong Python and SQL skills. Experience with Docker and cloud infrastructure. Work Authorization This position does not provide visa sponsorship. Candidates must be currently authorized to work in the United States without employer sponsorship and must not require sponsorship now or in the future. Company Description About KAPI Advisors LLC KAPI Advisors LLC is a forward-thinking boutique firm at the intersection of AI, Machine Learning, Data Analytics, Generative AI, Mathematical Optimization, and Cloud Platform Engineering. We build highly personalized, cutting-edge solutions tailored to the specific needs of each client - empowering organizations with powerful tools to unlock new business opportunities, operational efficiencies, and platform reliability at scale. At KAPI Advisors, we are passionate about solving complex, real-world challenges through technology. Our capabilities span intelligent agent-based systems, advanced data analytics, optimization algorithms, and robust cloud infrastructure - all designed to work together seamlessly. Our offerings include Generative AI systems that enable automation and intelligent decision-making, ML models that surface actionable insights, Mathematical Optimization techniques for supply chain management, resource allocation, and logistics, and Site Reliability Engineering practices that ensure the platforms powering these solutions remain performant, resilient, and production-ready. We believe that great AI and data products are only as strong as the infrastructure beneath them. That's why our SRE and DevOps practice is central to everything we build - from designing observability frameworks and incident response playbooks, to implementing chaos engineering, disaster recovery, and developer productivity tooling that reduces toil and accelerates delivery. As a boutique firm, we offer the agility and depth that larger organizations simply cannot match. Our team works directly with clients to understand their unique challenges and craft tailored strategies that deliver both immediate impact and long-term resilience. Whether you're looking to scale an AI platform, modernize your cloud infrastructure, or build the reliability engineering culture your engineering team deserves - KAPI Advisors is the partner built for it. Company Description About KAPI Advisors LLC KAPI Advisors LLC is a forward-thinking boutique firm at the intersection of AI, Machine Learning, Data Analytics, Generative AI, Mathematical Optimization, and Cloud Platform Engineering. We build highly personalized, cutting-edge solutions tailored to the specific needs of each client - empowering organizations with powerful tools to unlock new business opportunities, operational efficiencies, and platform reliability at scale. At KAPI Advisors, we are passionate about solving complex, real-world challenges through technology. Our capabilities span intelligent agent-based systems, advanced data analytics, optimization algorithms, and robust cloud infrastructure - all designed to work together seamlessly. Our offerings include Generative AI systems that enable automation and intelligent decision-making, ML models that surface actionable insights, Mathematical Optimization techniques for supply chain management, resource allocation, and logistics, and Site Reliability Engineering practices that ensure the platforms powering these solutions remain performant, resilient, and production-ready. We believe that great AI and data products are only as strong as the infrastructure beneath them. That's why our SRE and DevOps practice is central to everything we build - from designing observability frameworks and incident response playbooks, to implementing chaos engineering, disaster recovery, and developer productivity tooling that reduces toil and accelerates delivery. As a boutique firm, we offer the agility and depth that larger organizations simply cannot match. Our team works directly with clients to understand their unique challenges and craft tailored strategies that deliver both immediate impact and long-term resilience. Whether you're looking to scale an AI platform, modernize your cloud infrastructure, or build the reliability engineering culture your engineering team deserves - KAPI Advisors is the partner built for it.
Job Description Job Description Work Arrangement: Dallas-based / Hybrid Visa Sponsorship: Not available. Candidates must already be authorized to work in the United States without current or future employer sponsorship. Job Summary We are seeking a highly experienced Senior MLOps Engineer with strong hands-on Snowflake experience to support enterprise machine learning platforms and production ML workloads. The ideal candidate has hands-on experience taking machine learning models from experimentation through production and building the deployment pipelines, monitoring, automation, infrastructure, and governance capabilities required to operate ML solutions reliably at enterprise scale. This role will work closely with Data Scientists, ML Engineers, Data Engineers, Cloud Engineers, and enterprise platform teams. Key Responsibilities Design, build, and maintain enterprise-grade MLOps platforms and pipelines. Operationalize machine learning models developed by Data Science teams. Build automated ML workflows covering training, validation, deployment, monitoring, retraining, and retirement. Implement CI/CD pipelines specifically for machine learning workloads. Establish model registry, versioning, lineage, artifact management, and reproducibility. Implement model monitoring, data drift detection, model drift detection, prediction-quality monitoring, and alerting. Integrate ML workloads with Snowflake-based enterprise data environments . Build and optimize Python- and SQL-based data and ML pipelines. Support Snowflake data ingestion, transformation, compute, security, and ML integrations. Containerize ML workloads using Docker and deploy workloads through Kubernetes or comparable orchestration platforms. Implement logging, observability, alerting, and production support processes. Automate deployment and infrastructure provisioning using modern DevOps and Infrastructure-as-Code practices. Support model governance, approval workflows, lineage, auditability, and access controls. Troubleshoot production ML pipelines, model-serving infrastructure, Snowflake integrations, and performance issues. Develop reusable MLOps frameworks, standards, templates, and best practices. Mandatory Qualifications Candidates must have hands-on production experience in both MLOps and Snowflake . MLOps - Required Strong production experience with: ML model deployment and operationalization Model lifecycle management ML CI/CD Experiment tracking Model registry and versioning Automated model validation Model monitoring Data and model drift detection Retraining pipelines Pipeline orchestration Production troubleshooting Experience with one or more of the following: ML flow Kubeflow AWS SageMaker Azure Machine Learning Airflow Argo Workflows Prefect Dagster Equivalent enterprise MLOps platforms Snowflake - Required Strong hands-on Snowflake experience including: Snowflake architecture Databases, schemas, tables, and views Virtual warehouses Compute management Snowflake security and RBAC Data ingestion and transformation Performance optimization Python integration Snowflake integration with ML pipelines Experience with the following is strongly preferred: Snowpark Snowpark Python Snowflake ML Snowflake Model Registry Snowflake Feature Store Snowflake Tasks and Streams Dynamic Tables Snowpipe Cortex / Snowflake AI capabilities Additional Required Technical Skills Strong Python Strong SQL Git REST APIs Linux Shell scripting Docker CI/CD Cloud platforms such as AWS, Azure, or GCP Preferred Skills Experience with: Kubernetes Terraform GitHub Actions Jenkins GitLab CI/CD Azure DevOps dbt Spark Kafka Grafana CloudWatch Evidently Education and Experience Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Machine Learning, or related field. 6+ years of software, cloud, data, or ML engineering experience. 3+ years of hands-on production MLOps experience. Strong hands-on Snowflake experience. Experience deploying ML models into production. Experience implementing ML CI/CD pipelines. Strong Python and SQL skills. Experience with Docker and cloud infrastructure. Work Authorization This position does not provide visa sponsorship. Candidates must be currently authorized to work in the United States without employer sponsorship and must not require sponsorship now or in the future. Company Description About KAPI Advisors LLC KAPI Advisors LLC is a forward-thinking boutique firm at the intersection of AI, Machine Learning, Data Analytics, Generative AI, Mathematical Optimization, and Cloud Platform Engineering. We build highly personalized, cutting-edge solutions tailored to the specific needs of each client - empowering organizations with powerful tools to unlock new business opportunities, operational efficiencies, and platform reliability at scale. At KAPI Advisors, we are passionate about solving complex, real-world challenges through technology. Our capabilities span intelligent agent-based systems, advanced data analytics, optimization algorithms, and robust cloud infrastructure - all designed to work together seamlessly. Our offerings include Generative AI systems that enable automation and intelligent decision-making, ML models that surface actionable insights, Mathematical Optimization techniques for supply chain management, resource allocation, and logistics, and Site Reliability Engineering practices that ensure the platforms powering these solutions remain performant, resilient, and production-ready. We believe that great AI and data products are only as strong as the infrastructure beneath them. That's why our SRE and DevOps practice is central to everything we build - from designing observability frameworks and incident response playbooks, to implementing chaos engineering, disaster recovery, and developer productivity tooling that reduces toil and accelerates delivery. As a boutique firm, we offer the agility and depth that larger organizations simply cannot match. Our team works directly with clients to understand their unique challenges and craft tailored strategies that deliver both immediate impact and long-term resilience. Whether you're looking to scale an AI platform, modernize your cloud infrastructure, or build the reliability engineering culture your engineering team deserves - KAPI Advisors is the partner built for it. Company Description About KAPI Advisors LLC KAPI Advisors LLC is a forward-thinking boutique firm at the intersection of AI, Machine Learning, Data Analytics, Generative AI, Mathematical Optimization, and Cloud Platform Engineering. We build highly personalized, cutting-edge solutions tailored to the specific needs of each client - empowering organizations with powerful tools to unlock new business opportunities, operational efficiencies, and platform reliability at scale. At KAPI Advisors, we are passionate about solving complex, real-world challenges through technology. Our capabilities span intelligent agent-based systems, advanced data analytics, optimization algorithms, and robust cloud infrastructure - all designed to work together seamlessly. Our offerings include Generative AI systems that enable automation and intelligent decision-making, ML models that surface actionable insights, Mathematical Optimization techniques for supply chain management, resource allocation, and logistics, and Site Reliability Engineering practices that ensure the platforms powering these solutions remain performant, resilient, and production-ready. We believe that great AI and data products are only as strong as the infrastructure beneath them. That's why our SRE and DevOps practice is central to everything we build - from designing observability frameworks and incident response playbooks, to implementing chaos engineering, disaster recovery, and developer productivity tooling that reduces toil and accelerates delivery. As a boutique firm, we offer the agility and depth that larger organizations simply cannot match. Our team works directly with clients to understand their unique challenges and craft tailored strategies that deliver both immediate impact and long-term resilience. Whether you're looking to scale an AI platform, modernize your cloud infrastructure, or build the reliability engineering culture your engineering team deserves - KAPI Advisors is the partner built for it.
Boeing
Saint Louis, Missouri
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is looking for a Lead Site Reliability Engineer to join the Air Dominance Site Reliability Engineering team located in Berkeley, MO. We are seeking a highly talented, motivated, and creative technical leader responsible for the reliability strategy, architecture, operational maturity, and long-term technical direction of mission-critical developer platforms used by Air Dominance engineering teams. This role will provide technical leadership across GitLab, GitLab CI/CD runners, Jira, Confluence, PostgreSQL, related software delivery tools such as Artifactory and SonarQube, and the supporting infrastructure, automation, monitoring, backup, recovery, and security controls required to operate these services. The selected candidate will do the following; define standards, guide architecture decisions, mentor engineers, lead complex technical investigations, and partner with program leadership and stakeholders. They will ensure developer tooling remains secure, reliable, scalable, and are able to support. Position Responsibilities: Define and lead the Site Reliability Engineering technical strategy for GitLab, CI/CD runners, Jira, Confluence, PostgreSQL, Artifactory, SonarQube, and related developer tooling infrastructure Establish platform reliability architecture, operational standards, SLIs, SLOs, SLAs, KPIs, error budgets, observability patterns, capacity models, backup strategies, and disaster recovery approaches Serve as the senior technical authority for complex reliability, performance, scalability, integration, database, automation, and security-related platform decisions Lead architecture and design reviews for developer tooling infrastructure, CI/CD runner topology, PostgreSQL operations, cloud-based and on-premises infrastructure, monitoring, alerting, access controls, and platform integrations Drive automation, Infrastructure as Code, Ansible, configuration management, and repeatable operational patterns that reduce toil and improve reliability Guide major upgrades, migrations, lifecycle planning, patch strategies, recovery planning, and technical roadmaps for supported platforms Lead the most complex incidents and technical investigations, including root cause analysis, corrective action planning, and systemic reliability improvements Mentor and technically guide SREs in operational excellence, troubleshooting, automation, secure administration, and architectural thinking Partner with program leadership, cybersecurity, infrastructure, software engineering, database, networking, suppliers, customers, and other stakeholders Identify platform risks, technical debt, capacity constraints, single points of failure, compliance concerns, and operational gaps, then drive remediation plans Lead efforts to operationally field higher-quality end-to-end system software more frequently Participate in after-hours support and escalation for urgent or mission-impacting issues as required Basic Qualifications (Required Skills/ Experience): Bachelors Degree This position requires the ability to obtain a US Security Clearance for which the US Government requires US Citizenship This position requires ability to obtain access to Special Access Programs (SAP) 8+ years of experience with CI/CD tools such as Jenkins or Bamboo 8+ years of experience enterprise architecture experience, including but not limited to cloud architecture, security, data privacy, integration, and deployment 5+ years of experience in root cause analysis and corrective action 5+ years of technical leadership and team leadership Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 14+ years of related work experience or Bachelor's Degree and 18+ years of directly related work experience or 22+ years of related, relevant experience Experience effectively communicating technical strategy, risk, tradeoffs, and recommendations to senior technical and program leadership Vast experience administering or architecting GitLab, GitLab CI/CD, GitLab runners, or comparable enterprise source control and CI/CD platforms Deep experience administering or architecting Jira, Confluence, or other Atlassian products in an enterprise environment Deep experience with PostgreSQL architecture and operations, including backup and recovery, replication, performance tuning, storage planning, maintenance, and high-availability patterns Experience with AWS, Microsoft Azure, Infrastructure as Code, Ansible, configuration management, containers, Docker, Kubernetes, virtualization, artifact management, secrets management, and secure software delivery practices Experience administering or architecting Artifactory, SonarQube, Jenkins, or similar software delivery tools Experience designing observability platforms, alerting strategies, SLO frameworks, service health dashboards, and operational reporting Experience supporting Air Dominance, classified, air-gapped, or highly regulated engineering environments Experience developing disaster recovery strategy, continuity of operations plans, recovery time objectives, recovery point objectives, and restore validation programs Experience guiding cybersecurity hardening, vulnerability remediation, audit readiness, privileged access controls, and compliance-driven operations Ability to obtain Security+ certification Demonstrated ability to lead through influence across engineering teams, customers, suppliers, cybersecurity, infrastructure, and program stakeholders Strong written and verbal communication skills with the ability to produce architecture documentation, executive briefings, technical roadmaps, and decision records Travel: 10% Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Potential signing bonus for eligible/qualified external candidates. Summary Pay Range for Lead level (Level 5): $198,050- $267,950 Applications for this position will be accepted until Sept. 17, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is looking for a Lead Site Reliability Engineer to join the Air Dominance Site Reliability Engineering team located in Berkeley, MO. We are seeking a highly talented, motivated, and creative technical leader responsible for the reliability strategy, architecture, operational maturity, and long-term technical direction of mission-critical developer platforms used by Air Dominance engineering teams. This role will provide technical leadership across GitLab, GitLab CI/CD runners, Jira, Confluence, PostgreSQL, related software delivery tools such as Artifactory and SonarQube, and the supporting infrastructure, automation, monitoring, backup, recovery, and security controls required to operate these services. The selected candidate will do the following; define standards, guide architecture decisions, mentor engineers, lead complex technical investigations, and partner with program leadership and stakeholders. They will ensure developer tooling remains secure, reliable, scalable, and are able to support. Position Responsibilities: Define and lead the Site Reliability Engineering technical strategy for GitLab, CI/CD runners, Jira, Confluence, PostgreSQL, Artifactory, SonarQube, and related developer tooling infrastructure Establish platform reliability architecture, operational standards, SLIs, SLOs, SLAs, KPIs, error budgets, observability patterns, capacity models, backup strategies, and disaster recovery approaches Serve as the senior technical authority for complex reliability, performance, scalability, integration, database, automation, and security-related platform decisions Lead architecture and design reviews for developer tooling infrastructure, CI/CD runner topology, PostgreSQL operations, cloud-based and on-premises infrastructure, monitoring, alerting, access controls, and platform integrations Drive automation, Infrastructure as Code, Ansible, configuration management, and repeatable operational patterns that reduce toil and improve reliability Guide major upgrades, migrations, lifecycle planning, patch strategies, recovery planning, and technical roadmaps for supported platforms Lead the most complex incidents and technical investigations, including root cause analysis, corrective action planning, and systemic reliability improvements Mentor and technically guide SREs in operational excellence, troubleshooting, automation, secure administration, and architectural thinking Partner with program leadership, cybersecurity, infrastructure, software engineering, database, networking, suppliers, customers, and other stakeholders Identify platform risks, technical debt, capacity constraints, single points of failure, compliance concerns, and operational gaps, then drive remediation plans Lead efforts to operationally field higher-quality end-to-end system software more frequently Participate in after-hours support and escalation for urgent or mission-impacting issues as required Basic Qualifications (Required Skills/ Experience): Bachelors Degree This position requires the ability to obtain a US Security Clearance for which the US Government requires US Citizenship This position requires ability to obtain access to Special Access Programs (SAP) 8+ years of experience with CI/CD tools such as Jenkins or Bamboo 8+ years of experience enterprise architecture experience, including but not limited to cloud architecture, security, data privacy, integration, and deployment 5+ years of experience in root cause analysis and corrective action 5+ years of technical leadership and team leadership Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 14+ years of related work experience or Bachelor's Degree and 18+ years of directly related work experience or 22+ years of related, relevant experience Experience effectively communicating technical strategy, risk, tradeoffs, and recommendations to senior technical and program leadership Vast experience administering or architecting GitLab, GitLab CI/CD, GitLab runners, or comparable enterprise source control and CI/CD platforms Deep experience administering or architecting Jira, Confluence, or other Atlassian products in an enterprise environment Deep experience with PostgreSQL architecture and operations, including backup and recovery, replication, performance tuning, storage planning, maintenance, and high-availability patterns Experience with AWS, Microsoft Azure, Infrastructure as Code, Ansible, configuration management, containers, Docker, Kubernetes, virtualization, artifact management, secrets management, and secure software delivery practices Experience administering or architecting Artifactory, SonarQube, Jenkins, or similar software delivery tools Experience designing observability platforms, alerting strategies, SLO frameworks, service health dashboards, and operational reporting Experience supporting Air Dominance, classified, air-gapped, or highly regulated engineering environments Experience developing disaster recovery strategy, continuity of operations plans, recovery time objectives, recovery point objectives, and restore validation programs Experience guiding cybersecurity hardening, vulnerability remediation, audit readiness, privileged access controls, and compliance-driven operations Ability to obtain Security+ certification Demonstrated ability to lead through influence across engineering teams, customers, suppliers, cybersecurity, infrastructure, and program stakeholders Strong written and verbal communication skills with the ability to produce architecture documentation, executive briefings, technical roadmaps, and decision records Travel: 10% Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Potential signing bonus for eligible/qualified external candidates. Summary Pay Range for Lead level (Level 5): $198,050- $267,950 Applications for this position will be accepted until Sept. 17, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Northrop Grumman
San Diego, California
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Top Secret TRAVEL: Yes, 25% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Please note that this opportunity is contingent on program funding. Start dates are determined after funding confirmation. Northrop Grumman Aeronautics Systems is looking to add a Sr Principal Software Engineer - Java to join our team on site in San Diego, CA or El Segundo, CA. The candidate should be a self-starter with familiarity working in an Integrated Product Team construct. The selected candidate should thrive in a fast-paced work environment with high expectations, significantly diverse assignments, and collaborative team settings across all levels. Candidate must be comfortable in a lab environment and be able to collaborate closely with system engineers, hardware designers, and integration/test engineers. Roles and Responsibilities will include: • Work with a team of developers and integrators focused on delivering software products as part of an IFC. • Participate in the software development cycle including design, implementation and delivery of build/test/release. • Work with object oriented programming, design patterns, JMS, Web Services, XML and related technologies (i.e., XPath, XSLT, XSD) • Develop enterprise solutions for Java Enterprise Edition (JEE) in a SOA environment • Work in a process-oriented software development environment across the software lifecycle • Collaborate with team members on a regular basis. The selected candidate will be required to work full-time, on-site at our facility. There is no remote / hybrid / telework available for this position. Travel up to 25% may be required. Basic Qualifications: •Bachelor's Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline and 8 years of related engineering experience; OR a Master's degree in a STEM discipline and 6 years of related engineering experience; OR a PhD in a STEM discipline and 3 year of related engineering experience. • Direct experience developing Java applications • Your ability to transfer and maintain the final adjudicated U.S. government Top Secret clearance (must be in-scope or enrolled in Continuous Evaluation) and any program access(es) required for the position within a reasonable period of time , as determined by the Company. • Ability to obtain and maintain initial Special Program Access (SAP/PAR). This SAP/PAR must be obtained prior to commencement of employment and must be obtained within a reasonable amount of time as determined by the company to meet its business needs. Preferred Qualifications: • Current applicable Special Access Program (SAP) clearance. • Bachelor's degree in Computer Engineering, Computer Science, or Electrical Engineering • Experience in developing enterprise solutions for Java Enterprise Edition (JEE) in a SOA environment • Experience with Kubernetes, Docker, Ansible, Cucumber, microservices, Security+, Agile development, GUI applications, threading, object oriented programming, design patterns, JMS, and web technologies including Knockout, Web Services, XML and related technologies (i.e., XPath, XSLT, XSD) • Excellent communication, interpersonal skills, and the ability to interface with all levels of employees and management Primary Level Salary Range: $142,200.00 - $213,400.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Top Secret TRAVEL: Yes, 25% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Please note that this opportunity is contingent on program funding. Start dates are determined after funding confirmation. Northrop Grumman Aeronautics Systems is looking to add a Sr Principal Software Engineer - Java to join our team on site in San Diego, CA or El Segundo, CA. The candidate should be a self-starter with familiarity working in an Integrated Product Team construct. The selected candidate should thrive in a fast-paced work environment with high expectations, significantly diverse assignments, and collaborative team settings across all levels. Candidate must be comfortable in a lab environment and be able to collaborate closely with system engineers, hardware designers, and integration/test engineers. Roles and Responsibilities will include: • Work with a team of developers and integrators focused on delivering software products as part of an IFC. • Participate in the software development cycle including design, implementation and delivery of build/test/release. • Work with object oriented programming, design patterns, JMS, Web Services, XML and related technologies (i.e., XPath, XSLT, XSD) • Develop enterprise solutions for Java Enterprise Edition (JEE) in a SOA environment • Work in a process-oriented software development environment across the software lifecycle • Collaborate with team members on a regular basis. The selected candidate will be required to work full-time, on-site at our facility. There is no remote / hybrid / telework available for this position. Travel up to 25% may be required. Basic Qualifications: •Bachelor's Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline and 8 years of related engineering experience; OR a Master's degree in a STEM discipline and 6 years of related engineering experience; OR a PhD in a STEM discipline and 3 year of related engineering experience. • Direct experience developing Java applications • Your ability to transfer and maintain the final adjudicated U.S. government Top Secret clearance (must be in-scope or enrolled in Continuous Evaluation) and any program access(es) required for the position within a reasonable period of time , as determined by the Company. • Ability to obtain and maintain initial Special Program Access (SAP/PAR). This SAP/PAR must be obtained prior to commencement of employment and must be obtained within a reasonable amount of time as determined by the company to meet its business needs. Preferred Qualifications: • Current applicable Special Access Program (SAP) clearance. • Bachelor's degree in Computer Engineering, Computer Science, or Electrical Engineering • Experience in developing enterprise solutions for Java Enterprise Edition (JEE) in a SOA environment • Experience with Kubernetes, Docker, Ansible, Cucumber, microservices, Security+, Agile development, GUI applications, threading, object oriented programming, design patterns, JMS, and web technologies including Knockout, Web Services, XML and related technologies (i.e., XPath, XSLT, XSD) • Excellent communication, interpersonal skills, and the ability to interface with all levels of employees and management Primary Level Salary Range: $142,200.00 - $213,400.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
