senior ai engineer

analytics engineer

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freelance full stack web developer

frontend engineer - new grad Jobs in Los Angeles

frontend engineer - new grad

fullstack software engineer

Hadrian

<div>
 
 Hadrian &mdash; Manufacturing the Future
 
 
 
 Hadrian is building autonomous factories that help aerospace and defense companies manufacture rockets, satellites, jets, and ships up to 10x faster and up to 2x cheaper. By combining advanced software, robotics, and full-stack manufacturing, we are reinventing how America produces its most critical parts.
 
 
 We recently raised $260 million dollar Series C to accelerate this mission. We are excited to be launching a new Factory in Mesa, Arizona, a 270,000 square foot facility that will create 350 new jobs immediately. We are opening a new headquarters to support thousands of future hires, launching Hadrian Maritime to serve naval production, and introducing a Factory-as-a-Service model that delivers complete systems instead of individual parts.
 
 
 Hadrian works with startups, Tier 1 and Tier 2 suppliers, and major defense contractors across space, shipbuilding, and aviation to scale production, reduce costs, and accelerate delivery on mission-critical programs. We are backed by leading investors including Lux Capital, Founders Fund, and Andreessen Horowitz. Our fast-growing team is united by a shared mission to reindustrialize American manufacturing for the 21st century and beyond!
 
 
 
 The Role
 
 
 
 As a foundational member of our software engineering team, you'll work closely with our product, operations, data, and robotics teams to make
 
 Flow
 
 , our FactoryOS, the factory platform of the future.
 
 
 
 Flow
 
 is composed of a variety of internal and external critical business applications. Internally, we build software that informs, augments, and replaces work that needs to be done in the factory &mdash; for example, taking a customer request for parts, analyzing the complexity and cost, load balancing the work based on factory capacity, and returning a dynamic price quote and delivery estimate. Externally, our software helps our customers interface with Hadrian and manage their supply chain in real time.
 
 
 
 Note: You do not need to have aerospace, defense, or manufacturing experience to excel in this role
 
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Scope, architect, implement, and deploy critical applications that will drive revenue and make a positive impact in the world
 </li>
 <li>
 Own a product vertical with the opportunity to build a team around yourself over time (if interested)
 </li>
 <li>
 Work directly with our internal and external customers to drive our roadmap
 </li>
 <li>
 Get to build alongside an incredible team of engineers, operators, and the best machinists/CAM programmers in the world
 </li>
 <li>
 Be given autonomy and virtually unlimited room to grow
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 Bias to action, take pride in your work, and care more about getting to the right solution than being right
 </li>
 <li>
 Have tech-lead critical projects or initiatives
 </li>
 <li>
 Have worked on large, complex codebases
 </li>
 <li>
 Have extensive experience shipping modern, full-stack applications (our front-ends are React/Next/Typescript and back-ends are Go and Python)
 </li>
 <li>
 Are product-minded and user-driven
 </li>
 <li>
 Are excited to work in a fast-paced environment with high-stakes and quick iteration cycles
 </li>
 <li>
 Are a previous or future founder &mdash; if you leave Hadrian to start a company we'll do everything to support you, including investing in you and introducing you to Hadrian's investors
 </li>
 <li>
 Can work from our Los Angeles Factory (Torrance)
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 For this role, the target salary range is $120,000 - $250,000 (actual range may vary based on experience).
 
 
 This is the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 100% coverage of medical, dental, vision, and life insurance plans for employees
 </li>
 <li>
 401k
 </li>
 <li>
 Relocation stipend if you&rsquo;re moving from outside of LA
 </li>
 <li>
 Flexible vacation policy
 
 
 </li>
 </ul>
 
 ITAR Requirements
 
 
 
 To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
 
 
 
 Hadrian Is An Equal Opportunity Employer
 
 
 
 It is the Company&rsquo;s policy to provide equal employment opportunity for all applicants and employees. The Company does not unlawfully discriminate on the basis of race inclusive of traits historically associated with race (including, but not limited to, hair texture and protective hairstyles, such as braids, locks and twists), color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, transgender status, national origin (including, in California, possession of a drivers license), ancestry, citizenship, age, physical or mental disability, height or weight, medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, exercise of reproductive rights, any other basis protected by local, state, or federal laws, or any combination of the above characteristics. When necessary, the Company also makes reasonable accommodations for disabled candidates and employees, including for candidates or employees who are disabled by pregnancy, childbirth, or related medical conditions.
</div>

Fullstack Software Engineer

QISG

<div>We use in-house talent, expertise and resources to plan, design, engineer, manage, conduct maintenance on and construct projects. This turnkey project execution strategy ensures there is one point of contact to handle projects of any size from beginning to end and allows a cohesive and coordinated Quanta Services team to enter the project life cycle at the earliest stage possible. 
Our turnkey service capabilities provide our customers with efficiency, consistency, attention to detail and safe execution. The QISG team brings together Engineering, Safety, Quality, Material Procurement, QA/QC, Right-of-Way Acquisition, Scheduling, Environmental Planning, Permitting, Title and Land Management expertise that ensure outstanding results for our clients. 
 
JOB TITLE: Design Engineer 
DEPARTMENT: Engineering
 
REPORTS TO: Engineering Supervisor or Operations Supervisor 
CLASSIFICATION: Exempt 
 
POSITION OVERVIEW: 
The Design Engineer develops layouts for components and systems and selects material for engineering projects. The Engineering Designer performs complex design assignments within a specific engineering discipline. 
 
ESSENTIAL JOB SKILLS/DUTIES:
<ul><li>Interface with utility and construction personnel on a daily basis</li><li>
Accurately design distribution equipment and facilities</li><li>
Input customer, project, and billing information, and maintain customer communications
</li><li>Ensure safety, construction standards and local regulations are met</li><li>
Consult with Engineers and other personnel to prepare design drawings and modifications as required</li><li>
Prepare design drawings, calculations, and bills of material from engineering documents associated with the planning, design, construction, operation, and maintenance of various engineering projects</li><li>
Prepare scaled work order maps using computer aided design software such as AutoCAD/ Map3d, Blue Beam, ArcMap</li><li>
Draw map(s) using the correct mapping symbols, call-outs, decals, proper tie downs, etc.</li><li>
Implement Engineering redlines with accuracy and completeness prior to completing the drafting/drawing</li><li>
Complete engineering functions and calculations based on field information and redlines quality control/ Engineering (i.e., cable pulling, voltage drop, flicker, utilizing station sheets, etc.).</li><li>
Input pole loading information in software based on field information, and provides possible resolution to structure</li><li>
Prepare joint utility use authorizations based on field information and redline from the Engineer</li><li>
Consult with Engineers and other personnel to prepare design drawings and modifications as required</li><li>
Additional duties as needed and/or assigned</li></ul> 

QUALIFICATIONS:<ul><li>
Ability to read an interpret tech specifications</li><li>
Working knowledge of Power Distribution engineering software tools are highly desirable and preferred</li></ul><ul><li>
Knowledge of design techniques, tools, and principals involved in the production of technical plans, drawings, and models (PLS-POLE, TOWER, SAG10, LPILE, MFAD, ArcGIS, AutoCAD, MicroStation)</li><li>
Familiarity with local regulations and guidelines</li><li>
Experience in writing and providing support documentation for engineering calculations</li><li>
Familiarity with design codes and standards such as WAC, NESC, IEEE, ANSI, IBC</li><li>
Familiarity with construction &amp; constructability practices, principles and standards</li><li>
Demonstrated experience with drafting and design practices and related engineering practices</li><li>
Demonstrated experience reviewing rough sketches, drawing specifications, and creating conceptual drawings in computer aided design software</li><li>
Demonstrated experience finalizing engineering product drawings with critical dimensions, performance specifications, and quality specifications in compliance with design standards and procedures</li><li>
Demonstrated experience conducting quality review on designs, checks for inaccuracies, omissions or compliance issues and providing recommendations</li><li>
Ability to demonstrate effective resource and project planning, decision making, results delivery and the ability to stay current with relevant technology and innovation</li><li>
Demonstrated excellent oral and written communications skills</li><li>
Detail oriented</li><li>
General computer skills (email, Microsoft Office)</li></ul> 

Required Education and Experience
<ul><li>Bachelor of Science degree (B.S.) or Graduate degree in Engineering from an ABET accredited university.</li><li>
2+ years of experience in the industry performing detailed engineering for high voltage substation or transmission line projects.</li></ul>
Required Licenses/Certifications<ul><li>
Valid Driver&rsquo;s License</li></ul> 
Salary Range: $80,000.00-$110,000.00 
 
NOTE: THIS JOB DESCRIPTION IS NOT DESIGNED TO COVER OR CONTAIN A COMPREHENSIVE LISTING OF ACTIVITIES, DUTIES OR RESPONSIBILITIES THAT ARE REQUIRED OF THE EMPLOYEE. DUTIES, RESPONSIBILITIES, WORKING CONDITIONS, PHYSICAL DEMANDS, AND ACTIVITIES MY CHANGE OR NEW ONES MAY BE ASSIGNED AT ANY TIME WITH OR WITHOUT NOTICE.
 
QUANTA PROVIDES EQUAL EMPLOYMENT OPPORTUNITIES TO ALL EMPLOYEES AND APPLICANTS FOR EMPLOYMENT AND PROHIBITS DISCRIMINATION AND HARASSMENT OF ANY TYPE WITHOUT REGARD TO RACE, COLOR, RELIGION, AGE, SEX, NATIONAL ORIGIN, DISABILITY STATUS, GENETICS, PROTECTED VETERAN STATUS, SEXUAL ORIENTATION, GENDER IDENTITY OR EXPRESSION, OR ANY OTHER CHARACTERISTIC PROTECTED BY FEDERAL, STATE OR LOCAL LAWS. 
THIS POLICY APPLIES TO ALL TERMS AND CONDITIONS OF EMPLOYMENT, INCLUDING RECRUITING, HIRING, PLACEMENT, PROMOTION, TERMINATION, LAYOFF, RECALL, TRANSFER, LEAVES OF ABSENCE, COMPENSATION AND TRAINING. 

GdA77ZlMxw</div>

Design Engineer - Transmission

Sempra

<div>Primary Purpose 
The Senior Artificial Intelligence Engineer is a hands-on technical role that designs, implements, delivers, and maintains AI and Machine Learning (ML) products and platform. Working within a team, delivers ML/AI solutions supporting corporate business objectives by analyzing AI/ML use-cases, integrating various open source AI/ML libraries for model training, operationalizing models, supporting and monitoring models for retraining. May work on more complex products, such as those with higher level of dependencies with other teams, demonstrating a strong ability to solve challenging and unique technical problems facing the team.
 
 
Duties and Responsibilities<ul><li>
Deliver AI and ML products together with a multi-disciplinary team of data scientists, software development engineers, and domain subject matter experts in accordance with business acceptance criteria. Test deliverables against a user story&rsquo;s acceptance criteria. Actively architect, develop, deliver and support machine learning solutions. Ensure the Machine Learning code, models and pipelines are deployed successfully into production, and troubleshooting issues that arise. Automate model training, testing and deployment via machine learning continuous delivery pipelines. Establish meaningful criteria for evaluating algorithm performance and suitability. Implement working, scalable, production-ready Machine Learning and AI models and code. Optimize processes for maximum speed, performance and accuracy. Maintains technical skills and expertise through continuing education and training.</li><li>
Deliver end-to-end maintenance and support of all products and features owned by the product team, performing triage and responding to incidents as needed. Identify opportunities for automation and integration for continuous improvement.
</li><li>Prepares for and leads reviews, walkthroughs, and demos of technical specifications and program code with other technical team members, communicating design, acceptance criteria, feature set, functionality, and limitations of applications to customers. Supports knowledge sharing amongst the team, and the development of other engineers in their technical skills through feedback, mentoring, paired programming, etc. Participate with IT staff, business/vendor partners, and other stakeholders in new product reviews, tests, and pilots. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Serves as a thought leader for further innovation and strategic opportunities. Stay current with the latest development in AI and ML best practices, algorithms, tools, and processes.
</li><li>Work in alignment with agile mindset and values, working off user stories within an agile scrum team. Provides technical input into sprint planning, breaking down user stories and creating estimates, and planning to deliver within the sprint. Understands team dependencies and delivery impediments to proactively partner with other teams for effective delivery. Anticipates potential challenges that exist within the team's area of ownership. Participates in team's agile ceremonies, utilizing the five ceremonies involved in Scrum methodology to self-organize within their team and collaboratively drive development and the delivery of business value. Participate in quarterly planning and related demos/activities. Foster and maintain trusted relationships with business partners, IT peer teams and vendor partners. Collaborates with internal and external team members across the technology organization. Guides more junior AI engineers.
</li><li>Performs other duties as assigned (no more than 5% of duties).</li></ul> 
Education
<ul>
<li>Requires a Bachelor's Degree in Electrical Engineering, Computer Engineering or Computer Science, Physics, or Statistics or equivalent work experience.</li>
</ul>
Experience
<ul>
<li>Requires 5 years of progressive experience as an AI engineer or equivalent, delivering IT solutions across one or more products, models and/or platforms: work with system integration architectures, cloud architectures, implement AI and machine learning products from design to deployment.</li>
<li>1 Year of experience working with DevSecOps practices, integrating development, security, and operations into enterprise software development, e.g., Continuous Integrations / Continuous Delivery (CI/CD) pipelines, test automation, etc. preferred.</li>
<li>1 Year of experience using source code management tools such as Git preferred.</li>
</ul>
Knowledge, Skills and Abilities
<ul>
<li>Software Delivery Frameworks - Strong knowledge of delivery frameworks such as Agile Scrum, Kanban, and/or Software Development Lifecycle (SDLC). Proven ability executing projects in a collaborative, fast-paced environment.</li>
<li>Machine Learning Development &ndash; Ability to develop machine learning models: architect, develop, deliver and monitor machine learning solutions and optimize for speed, performance, and accuracy.</li>
<li>Development Languages - Knowledge and understanding of one or more IT programming languages and database architectures, and ability to write code and develop applications using those languages.</li>
<li>Solid programming skills with Python, SQL, JavaScript or other equivalent languages</li>
<li>Working knowledge of Machine Learning, Data Mining, Information Retrieval, Statistics</li>
<li>Experience with cloud native data services in one or more cloud platforms (AWS/GCP/Azure)</li>
<li>Understanding of common statistical modeling techniques to include but not limited to: decision trees, cost functions, gradient descent, linear regression, logistic regression, Bayesian analysis, and neural networks.</li>
<li>Experience with one or more common machine learning frameworks: Tensorflow, Scikit Learn, Pytorch, or Keras</li>
</ul>
Licenses and Certifications
<ul>
<li>AWS Cloud Practitioner preferred</li>
<li>AWS Certified Solutions Architect preferred</li>
<li>AWS Certified Machine Learning preferred</li></ul> 
 
Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled</div>

Senior AI Engineer

SoCalGas

<div>Primary Purpose 
The Senior Artificial Intelligence Engineer is a hands-on technical role that designs, implements, delivers, and maintains AI and Machine Learning (ML) products and platform. Working within a team, delivers ML/AI solutions supporting corporate business objectives by analyzing AI/ML use-cases, integrating various open source AI/ML libraries for model training, operationalizing models, supporting and monitoring models for retraining. May work on more complex products, such as those with higher level of dependencies with other teams, demonstrating a strong ability to solve challenging and unique technical problems facing the team.
 
 
Duties and Responsibilities<ul><li>
Deliver AI and ML products together with a multi-disciplinary team of data scientists, software development engineers, and domain subject matter experts in accordance with business acceptance criteria. Test deliverables against a user story's acceptance criteria. Actively architect, develop, deliver and support machine learning solutions. Ensure the Machine Learning code, models and pipelines are deployed successfully into production, and troubleshooting issues that arise. Automate model training, testing and deployment via machine learning continuous delivery pipelines. Establish meaningful criteria for evaluating algorithm performance and suitability. Implement working, scalable, production-ready Machine Learning and AI models and code. Optimize processes for maximum speed, performance and accuracy. Maintains technical skills and expertise through continuing education and training.</li><li>
Deliver end-to-end maintenance and support of all products and features owned by the product team, performing triage and responding to incidents as needed. Identify opportunities for automation and integration for continuous improvement.
</li><li>Prepares for and leads reviews, walkthroughs, and demos of technical specifications and program code with other technical team members, communicating design, acceptance criteria, feature set, functionality, and limitations of applications to customers. Supports knowledge sharing amongst the team, and the development of other engineers in their technical skills through feedback, mentoring, paired programming, etc. Participate with IT staff, business/vendor partners, and other stakeholders in new product reviews, tests, and pilots. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Serves as a thought leader for further innovation and strategic opportunities. Stay current with the latest development in AI and ML best practices, algorithms, tools, and processes.
</li><li>Work in alignment with agile mindset and values, working off user stories within an agile scrum team. Provides technical input into sprint planning, breaking down user stories and creating estimates, and planning to deliver within the sprint. Understands team dependencies and delivery impediments to proactively partner with other teams for effective delivery. Anticipates potential challenges that exist within the team's area of ownership. Participates in team's agile ceremonies, utilizing the five ceremonies involved in Scrum methodology to self-organize within their team and collaboratively drive development and the delivery of business value. Participate in quarterly planning and related demos/activities. Foster and maintain trusted relationships with business partners, IT peer teams and vendor partners. Collaborates with internal and external team members across the technology organization. Guides more junior AI engineers.
</li><li>Performs other duties as assigned (no more than 5% of duties).</li></ul>
Requirements:
Education
<ul>
<li>Requires a Bachelor's Degree in Electrical Engineering, Computer Engineering or Computer Science, Physics, or Statistics or equivalent work experience.</li>
</ul>
Experience
<ul>
<li>Requires 5 years of progressive experience as an AI engineer or equivalent, delivering IT solutions across one or more products, models and/or platforms: work with system integration architectures, cloud architectures, implement AI and machine learning products from design to deployment.</li>
<li>1 Year of experience working with DevSecOps practices, integrating development, security, and operations into enterprise software development, e.g., Continuous Integrations / Continuous Delivery (CI/CD) pipelines, test automation, etc. preferred.</li>
<li>1 Year of experience using source code management tools such as Git preferred.</li>
</ul>
Knowledge, Skills and Abilities
<ul>
<li>Software Delivery Frameworks - Strong knowledge of delivery frameworks such as Agile Scrum, Kanban, and/or Software Development Lifecycle (SDLC). Proven ability executing projects in a collaborative, fast-paced environment.
</li><li>Machine Learning Development &ndash; Ability to develop machine learning models: architect, develop, deliver and monitor machine learning solutions and optimize for speed, performance, and accuracy.</li>
<li>Development Languages - Knowledge and understanding of one or more IT programming languages and database architectures, and ability to write code and develop applications using those languages.
</li><li>Solid programming skills with Python, SQL, JavaScript or other equivalent languages
</li><li>Working knowledge of Machine Learning, Data Mining, Information Retrieval, Statistics
</li><li>Experience with cloud native data services in one or more cloud platforms (AWS/GCP/Azure)
</li><li>Understanding of common statistical modeling techniques to include but not limited to: decision trees, cost functions, gradient descent, linear regression, logistic regression, Bayesian analysis, and neural networks.
</li><li>Experience with one or more common machine learning frameworks: Tensorflow, Scikit Learn, Pytorch, or Keras</li>
</ul>
Licenses and Certifications
<ul>
<li>AWS Cloud Practitioner preferred</li>
<li>AWS Certified Solutions Architect preferred</li>
<li>AWS Certified Machine Learning preferred</li>
</ul>Pay Transparency In order to support the Fair Compensation Strategy by the US Govt., HR Dept., clients are required to adhere to &quot;Pay Transparency Law&quot;; in the impacted states; that have mandated the employers to list the salary ranges in Job advertisements or postings for job opportunities and Job promotions.</div>

Brilliant Corners

<div>
 
 Location
 
 : Los Angeles, California
 
 
 
 Salary
 
 : $95,000 - $150,000 per year, exempt
 
 
 
 Organization Overview
 
 
 
 Founded in 2004, Brilliant Corners provides innovative housing and housing-related services to California's most vulnerable individuals, with an emphasis on those transitioning from, or at risk of, homelessness or institutionalization. We develop, own, and manage multi-family supportive housing and licensed residential care homes. We implement a broad array of scattered-site, one-on-one supportive housing, and clinical case management programs through partnerships with developmental services, homeless services, veterans' services, and health care sectors.
 
 
 In short, we do good work.
 
 
 We have offices statewide with a staff of passionate people. While we are growing rapidly, we are also selective: We're seeking inspired, talented people who want to be effecting profound change and who have fun doing it.
 
 
 
 Position Summary
 
 
 
 The Analytics Engineer is responsible for data consolidation and maintenance across the organization's data infrastructure and various data sources. The engineer works with Data Analysts and other business units to create data models and to build and maintain a cloud data infrastructure. Their work will support recurring and ad-hoc reporting, dashboard creation and maintenance, and data requests from internal and external stakeholders. The Analytics Engineer will also build business intelligence tools to help data analysts do their work more efficiently, such as improved or automated data clean up processes and a self-service analytics platform. They will also collaborate with the Product Development team and IT Operations team on data infrastructure and integration projects focused on transforming data and supplying data between operational systems to meet business needs. Lastly, they are responsible for using best practices to maintain version control and perform internal testing and deploy production-ready code.
 
 
 
 Position Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, implement, and maintain data models used for reporting and analytics.
 </li>
 <li>
 Work with Data Analysts and other business teams to identify and develop ETL/ELT processes to automate, orchestrate, and maintain data pipelines.
 </li>
 <li>
 Maintain data documentation and definitions, including data quality standards and business logic for metrics/KPIs, naming and formatting conventions and detailed specifications/documentation for analytics code.
 </li>
 <li>
 Maintain version control for, test, and continuously integrate analytics code into testing and production environments.
 </li>
 <li>
 Monitor data models and pipelines to ensure performance meets internal service level agreement.
 </li>
 <li>
 Collaborate with Data Analysts to build dashboards and visualizations that show trends, patterns, and outliers in the data pipeline and models. As well as, maintain current inventory of reports and dashboards and publish this information to business users.
 </li>
 <li>
 Work with Product Development and other business teams to consolidate and integrate data from and between multiple data sources (such as Salesforce, Financial Systems, HRIS, and other data sources).
 </li>
 <li>
 Maintain and update (as necessary) existing integration infrastructure, with a focus on streamlining and consolidating processes.
 </li>
 <li>
 Help evaluate and validate new and existing tools or development needs to suggest improvements and streamline operations.
 </li>
 <li>
 Support updates/upgrades, configuration and troubleshooting for business intelligence tools.
 </li>
 <li>
 Help coach Data Analysts on software development best practices.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Professional Experience
 
 
 
 <ul>
 <li>
 Proven success in designing, building and maintaining data warehouse and infrastructure that meet business needs.
 </li>
 <li>
 Experience with SQL.
 </li>
 <li>
 Experience with Python or R.
 </li>
 <li>
 Strong problem-solving skills in relation to data and software applications.
 </li>
 <li>
 Excellent interpersonal skills and verbal/written/virtual communication skills to communicate technical details to both other team members and non-technical stakeholders.
 </li>
 <li>
 Experience supporting and working with cross-functional teams.
 
 
 </li>
 </ul>
 
 Knowledge, Skills, And Abilities
 
 
 
 <ul>
 <li>
 Prior experience with software development best practices around code (version control using Git, testing, debugging, continuous integration and deployment, clear comments in code), especially implementing such practices in organizations.
 </li>
 <li>
 Experience with cloud data warehouses and platforms like Snowflake, GCP, Azure.
 </li>
 <li>
 Experience with ETL/ELT tools like FiveTran, Matillion, Stitch.
 </li>
 <li>
 Experience with DBT, Dataform, Databricks.
 </li>
 <li>
 Experience with data visualization tools like Tableau, PowerBI, Looker, Sigma.
 </li>
 <li>
 Experience with Integration Platform-as-a-Service like Workato or Mulesoft.
 </li>
 <li>
 Clear technical writing experience, including data mapping documents, reports, and presentations.
 </li>
 <li>
 Experience in a non-profit, human services setting.
 
 
 </li>
 </ul>
 
 Core Competencies
 
 
 
 <ul>
 <li>
 Dealing with Ambiguity: Remains productive and effective in uncertain, rapidly changing situations by quickly analyzing information to adapt approach. Demonstrates flexibility, composure and good judgment despite challenges
 </li>
 <li>
 Technical Learning: Quickly learns and applies new technical skills, knowledge, and industry expertise. Seeks guidance when needed to ensure quality
 </li>
 <li>
 Problem Solving: Uses critical thinking to creatively investigate issues from diverse perspectives. Makes evidence-based recommendations addressing short and long-term needs
 </li>
 <li>
 Total Work Systems: Designs, implements, and improves organization-wide systems to enhance quality and efficiency. Leverages technology and data to standardize workflows and meet stakeholder needs
 </li>
 <li>
 Organizational Agility: Understands how the organization operates through formal and informal structures. Navigates dynamics, communicates rationale behind policies, and builds relationships to achieve goals
 </li>
 <li>
 Customer Focus: Proactively understands and meets others' needs through a service-minded approach. Builds trust, leverages insights, and provides responsive support to align with evolving requirements
 
 
 </li>
 </ul>
 
 Organizational Values
 
 
 
 <ul>
 <li>
 Humanity: Putting people first: We are committed to meeting people where they're at, honoring their dignity, diversity, and experience.
 </li>
 <li>
 Community: Building a better future: Sustainable housing solutions are fostered through partnership, collaboration, and human connection.
 </li>
 <li>
 Ingenuity: Innovating for transformation: Systems-change requires relentless determination, thinking outside the box and challenging the status quo.
 
 
 </li>
 </ul>
 
 Physical Requirements
 
 
 
 Candidates should have physical mobility for tasks such as standing, bending, stooping, kneeling, crouching, reaching, twisting, and walking on uneven surfaces. They should be capable of performing stationary tasks like sitting for up to 6 to 8 hours a day. Additionally, candidates should be able to lift, carry, push, pull light to moderate weights up to 15 pounds safely. Requires mental acuity for analytical reasoning and document interpretation.
 
 
 
 Labor Union
 
 
 
 This position is part of the OPEIU, LOCAL 30, AFL-CIO, bargaining unit. As a member of the OPEIU, LOCAL 30, AFL-CIO, the incumbent will be subject to the terms and conditions outlined in the collective bargaining agreement
 
 
 Salary range for this position is $103,487 - $107,255 annually. This position is being offered at $95,000 - $105,000 annually.
 
 
 
 Brilliant Corners does not discriminate on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status, in any of its activities or operations. These activities include, but are not limited to, hiring and firing of staff, selection of volunteers and vendors, and provision of services. We are committed to providing an inclusive and welcoming environment for all members of our staff, clients, volunteers, subcontractors, vendors, and clients. We will consider for employment qualified applicants with arrest and conviction records.
 
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 Health Care Plan (Medical, Dental, &amp; Vision)
 </li>
 <li>
 Retirement Plan (With 5% Match)
 </li>
 <li>
 Life Insurance (Basic, Voluntary and AD&amp;D)
 </li>
 <li>
 Paid Time Off (Vacation, Sick &amp; Public Holidays)
 </li>
 <li>
 Family Leave (Maternity, Paternity)
 </li>
 <li>
 Short Term &amp; Long-Term Disability
 </li>
 <li>
 Training &amp; Development
 </li>
 <li>
 Wellness Resources
 </li>
 <li>
 Hybrid Work
 </li>
 </ul>
</div>

Analytics Engineer

Ajulia Executive Search

<div>
 
 
 Reports to:
 
 Senior Director, Quality
 
 
 
 Position Summary
 
 
 
 The Supplier Quality Engineer will be responsible for auditing and evaluating supplier quality systems to ensure alignment with aerospace standards, customer requirements, and internal quality benchmarks. Will work collaboratively with suppliers to promote continuous improvement and ensure consistent delivery of high-quality parts, materials, and assemblies.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 The Supplier Quality Engineer will perform supplier audits to evaluate quality systems, manufacturing processes, and adherence to industry standards such as AS9100 and NADCAP.
 </li>
 <li>
 Qualify and onboard new suppliers, including initial audits and continuous monitoring.
 </li>
 <li>
 Develop and manage risk-based audit schedules based on supplier performance and criticality.
 </li>
 <li>
 The Supplier Quality Engineer will lead investigations into supplier non-conformances; identify root causes and implement effective corrective and preventive actions (CAPA).
 </li>
 <li>
 Track and report key supplier quality metrics including PPAP, FAI, on-time delivery, and quality performance.
 </li>
 <li>
 Partner with engineering, procurement, and program management teams to ensure supplier readiness for New Product Introduction (NPI).
 </li>
 <li>
 The Supplier Quality Engineer will validate that supplier processes for critical components and special processes are robust, repeatable, and under control.
 </li>
 <li>
 Support the creation and maintenance of supplier quality agreements and related compliance documentation.
 </li>
 <li>
 Stay informed of evolving aerospace regulations, customer-specific requirements, and quality best practices.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 The Supplier Quality Engineer must have a bachelor&rsquo;s degree in mechanical engineering
 
 , Aerospace Engineering
 
 , or a related technical field.
 </li>
 <li>
 Must have a minimum 3&ndash;5 years of experience in supplier quality, ideally within aerospace or defense manufacturing.
 </li>
 <li>
 In-depth knowledge of AS9100, NADCAP, FAI/PPAP, and aerospace quality systems.
 </li>
 <li>
 The Supplier Quality Engineer must have hands-on experience conducting quality system and process audits; certification (e.g.,
 
 AS9100 Lead Auditor)
 
 </li>
 <li>
 Must have experience with
 
 APQP, DFMEA/PFMEA
 
 , and developing
 
 control plans
 
 .
 </li>
 <li>
 Proficiency in SAP, ERP systems, Microsoft Office, and statistical analysis tools such as Minitab.
 </li>
 <li>
 Must be lean certified (green or black)
 </li>
 <li>
 The Supplier Quality Engineer must be familiar with
 
 special processes
 
 such as welding, plating, heat treating, or
 
 non-destructive testing (NDT)
 
 .
 </li>
 <li>
 Strong analytical and problem-solving abilities using tools like 8D, DMAIC, Fishbone, or 5 Whys.
 </li>
 <li>
 Effective communicator with strong interpersonal skills; able to collaborate across internal and external teams.
 </li>
 <li>
 Willing and able to travel up to
 
 75%,
 
 domestically and internationally.
 </li>
 <li>
 
 MUST BE A LOCAL CANDIDATE
 
 </li>
 <li>
 MUST BE ABLE TO WORK WITHOUT A VISA SONSORSHIP
 </li>
 </ul>
 
 
 
 
 BENEFITS:
 
 
 
 
 <ul>
 <li>
 Medical Insurance
 </li>
 <li>
 Dental Insurance
 </li>
 <li>
 Vision Insurance
 </li>
 <li>
 Direct Hire
 </li>
 <li>
 Paid time off
 </li>
 <li>
 $90K-$110K/annum
 </li>
 </ul>
 
 
 
 
 Ask for: Amrita Mukherjee
 
</div>

Supplier Quality Engineer

Northrop Grumman

<div>RELOCATION ASSISTANCE: Relocation assistance may be available
CLEARANCE TYPE: Secret
TRAVEL: Yes, 10% of the Time<h2 class="jobSectionHeader">
Description</h2>
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 &mdash; 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.
Northrop Grumman's Defense Systems has an opening for a DevOps Engineer Level 2 with an active clearance, to join our Advanced Weapons team of qualified, diverse individuals. This position will be in Northridge, CA.
Relocation assistance, while not guaranteed, may be available.
The selected candidate for this position is required to be on-site in Northridge, CA. No remote or hybrid opportunities.
As an integral part of our multi-discipline engineering team in Advanced Weapons, you will be on the forefront of developing next generation solutions to protect technology for our nation&rsquo;s warfighters. The ideal candidate will be supporting one of our programs for defining and architecting a secured missile weapon system. This position will require close collaboration with team members of other projects within the organization for security architecture designs as well as external partners and customers.
The successful candidate will have foundational experience in DevOps and a strong willingness to learn and grow in DevSecOps practices, focusing on multi-region and multi-network architectures. All candidates must have a Security+ certification.
Roles and responsibilities
A successful candidate will have the qualities and essential functional expertise to:<ul><li>
Assist in the implementation and maintenance of secure CI/CD pipelines designed for multi-region, multi-network applications.</li><li>
Gain familiarity with SCA tools; participate in vulnerability assessment and remediation.</li><li>
Collaborate with senior engineers to integrate security practices into development workflows.</li><li>
Help develop and support compliance as code, security as code, and configuration as code initiatives to ensure adherence to security and compliance requirements.</li><li>
Contribute to documentation for processes, configurations, and security policies.</li><li>
Support the monitoring and analysis of security threats.</li><li>
Familiarity with compliance frameworks such as NIST SP 800-53, NIST SP 800-190, NIST 800-171, and NIST SP 800-160.</li></ul>
Basic qualifications for a DevOps Engineer level 2:<ul><li>
Bachelor&rsquo;s Degree in a STEM related field with 2 years Computer Engineering or Software Engineering experience, or Master&rsquo;s with 0 years Computer Engineering or Software Engineering.</li><li>
Security+ Certification</li><li>
Strong working knowledge of Windows and Linux environments</li><li>
Experience with Atlassian tools (Jira, Bitbucket, Jenkins, Nexus, and SonarQube)</li><li>
Experience with Git</li><li>
Experience creating and maintaining CI/CD pipelines</li><li>
Active DOD security clearance</li></ul>
Preferred Qualifications:<ul><li>
Basic familiarity with SCA tools (e.g., Trivy, Grype, Syft) is a plus.</li><li>
Experience with container orchestration tools such as Kubernetes or OpenShift.</li><li>
Knowledge of AWS services, particularly S3, VPC, and IAM.</li><li>
Experience with Iron Bank container technologies.</li><li>
Exposure to GovCloud (AWS GovCloud) is a plus.</li><li>
Exposure to cloud technologies, specifically AWS (0-2 years preferred).</li><li>
Interest in working in an air-gapped environment.</li><li>
Experience with VxWorks is a plus.</li></ul>
Primary Level Salary Range: $89,400.00 - $134,200.00
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 http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.</div>

DevOps Engineer Level 2 (AHT)

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