Colab Python Jobs in Usa
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Job Title: Linux system Engineer
Location: San Jose, CA ( 100% onsite)
Duration: 12 months Contract on W2
Job Description:
Must have Skills:
• Linux system administration
• Hardware debugging / setup
• Python programming experience
JOB DUTIES:
The Systems Engineer is responsible for effective troubleshooting, provisioning, installing/configuring, operating, and maintaining system hardware and software and related infrastructure in a mixed MS/Linux environment. The successful candidate must also have some Python programming skills to update scripts or applications as needed. This individual will assist project teams with technical issues. Participation on projects is focused on smoothing the transition of projects from development staff to production staff by performing operations activities within the project life cycle.
Responsibilities: Install new/rebuild existing Linux based servers and configure hardware, peripherals, services, settings, directories, storage, etc. in accordance with standards and project/operational requirements. Provide support per request from various constituencies. Investigate and troubleshoot issues. Repair and recover from hardware or software failures. Coordinate and communicate with impacted constituencies. Develop and maintain installation and configuration procedures. Research and recommend innovative, and where possible automated approaches for system administration tasks. Identify approaches that leverage our resources and provide economies of scale. Perform daily system monitoring, verifying the integrity and availability of all hardware, server resources, systems and key processes, reviewing system and application logs, and verifying completion of scheduled jobs. Perform ongoing performance tuning, hardware upgrades, and resource optimization as required.
EXPERIENCE AND EDUCATION:
Bachelor’s degree, with a technical major. 2-3 years system administration experience with Linux and Windows operating systems.
Must be capable of troubleshooting complex OS and connectivity issues.
Preference will be given to candidates with Python OOP experience.
Must be able to interact with management stakeholders.
Must be able to occasionally work evenings and weekends in order to accommodate global stakeholder requirements.
8116 - Midtown Office - 2220 W. Broad Street, Richmond, Virginia, 23220
CarMax, the way your career should be!
Essential Responsibilities:
- Identify new opportunities for ML and AI solutions and build and cultivate relationships with leaders across the organization to foster those partnerships
- Influence partners and stakeholders in Data Science and other teams across the organization to prioritize objectives and provide a comprehensive approach to solution recommendations that includes ROI, time to market, scalability as well as alternative recommendations
- Communicate effectively with senior leadership to share progress, raise any roadblocks or impediments to delivery, and also spread awareness of your teams’ achievements
- Create the strategic roadmap that will guide the direction and goals for the team, both in terms of individual project impacts but also overall standards for machine learning and AI utilization in the organization
- Empower your direct reports to lead their teams by providing them with the resources, training, feedback, and a sounding-board to be successful in their roles
- Develop people through effective communication and ongoing feedback
- Manage the budget of your area including budget planning and estimating costs of future development and tracking spend on an ongoing basis
- Create an inclusive and engaging culture for a team of remote and hybrid engineers with varying levels of experience
- Work through others to deliver resilient and scalable technology solutions that solve for complex business problems
- Help drive the broader understanding of the use of machine learning and AI by interfacing with key roles in Operations, Legal, Security, and Technology
- Stay on top of industry trends and best practices to continuously improve what we do and ensure our customer experience is the best it can be
- Quickly learning the CarMax technology standards and norms and ensuring that your teams follow best practices for change management, security, etc.
- This role will have on-call expectations to be available for major incidents and issues that affect your team’s applications.
Minimum Qualifications:
- Bachelor’s Degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Optional for sponsorship needs: Master’s Degree in Computer Science, Computer Engineering, or relevant technical field
- 10+ years of software-engineering experience in an enterprise-level environment in one or more of the following areas: machine learning/artificial intelligence, cloud computing, systems engineering
- 5+ years’ experience managing direct reports
- 5+ years’ experience with microservices software architecture
- 5+ years leading the end-to-end design and development of scalable services to be consumed by the enterprise, including monitoring and production support
- 5+ years’ experience building enterprise-level solutions with Microsoft Azure or equivalent cloud technologies
- Demonstrated ability to provide vision for the Cloud Engineering, Software Engineering, and Machine-Learning spaces and inspire teams towards the future
- Proven ability to strategically prioritize by balancing business delivery and value generating work with technical debt and engineering excellence
- Proficient in developing in Python
- Experience with scripting languages such as shell scripts
- Experience in DevOps practices, testing frameworks, and CI/CD
- Experience with Model Development and Deployment (MLFlow, Azure ML)
- Experience with container orchestration (Kubernetes, Docker)
- Experience communicating and working across functions to drive organization-wide solutions
Preferred Qualifications:
- Previous experience deploying large-scale applications on Azure
- Familiarity with MLOps and industry-standard machine-learning Python libraries
- Experience with Azure AI services (Azure Machine Learning, Azure Cognitive Services)
- Advanced AI/ML specializations (reinforcement learning, deep learning, NLP)
- Proficient in an object-oriented programming language (i.e. C#, Java)
- Experience using large language models (LLMs) with semantic search frameworks for chatbot implementations
Software Specific Qualifications:
- Experience building enterprise-level solutions with Microsoft Azure or equivalent cloud technologies
- Proficiency developing and debugging in Python
- Experience with Model Development and Deployment (MLFlow, Azure ML)
- Experience with Azure AI services (Azure Machine Learning, Azure Cognitive Services)
- Experience with scripting languages such as shell scripts
- Experience in DevOps practices, testing frameworks, and CI/CD
- Proficiency in version control systems (Git) for AI/ML model versioning
- Experience with container orchestration (Kubernetes, Docker)
Senior Analytics Engineer
Indianapolis, IN (Hybrid)
$150,000 – $175,000
A fast-growing U.S. consumer products company is hiring a Senior Analytics Engineer to help build and scale a modern data platform supporting ecommerce, manufacturing, supply chain, and marketing analytics.
This business operates a highly automated domestic manufacturing operation alongside a strong direct-to-consumer ecommerce model, generating more than $120M in annual revenue and continuing to scale rapidly. They are investing heavily in data infrastructure and AI-enabled decision making across the organization.
This role will be one of the foundational hires in the data function and will play a key role in designing the company’s next generation analytics architecture.
The Role
You will work closely with engineering, IT, and business stakeholders to build and scale the company’s analytics platform. This role sits between data engineering and analytics and will focus on centralizing data pipelines and improving data accessibility across the organization.
Key initiatives include:
• Migrating the analytics stack to BigQuery and Looker
• Building scalable transformation models using DBT
• Expanding and optimizing Airbyte and Python based ETL pipelines
• Designing reliable datasets that support analytics and AI use cases
• Creating dashboards that support supply chain, marketing, forecasting, and ecommerce operations
• Establishing scalable data architecture and governance standards
Tech Stack
• SQL
• DBT
• BigQuery
• Looker
• Airbyte
• Python
• Postgres
• Hex
Requirements
• 4+ years of experience working with SQL
• 4+ years of experience using DBT
• Experience building analytics data models and dashboards
• Experience working with data warehouses and ETL pipelines
• Strong hands-on technical problem solving ability
Nice to Have
• Experience with BigQuery or Looker
• Python experience
• Shopify or ecommerce analytics experience
• Manufacturing or supply chain data experience
• Experience working in high growth or product driven environments
Ideal Candidate
The team is looking for someone who is:
• Curious and evidence driven
• Comfortable working in a fast paced environment where the data function is still evolving
• Able to work independently and solve problems without heavy oversight
• Strong at communicating insights with business stakeholders
• Interested in modern data tooling and AI enabled analytics
Location
• Indianapolis, IN
• Hybrid working model with 2–3 days per week in office
The company is building a new technology hub in the northern suburbs of Indianapolis while operating a highly automated manufacturing facility within the state.
Why This Role
• Opportunity to help build a modern data platform from the ground up
• Exposure to ecommerce, manufacturing, and operational analytics
• High ownership role within a growing data team
• Opportunity to influence architecture and data standards early in the company’s growth
If you are interested in learning more, please apply or reach out directly.
This Jobot Job is hosted by: Katherine Krull
Are you a fit? Easy Apply now by clicking the "Apply" button
and sending us your resume.
Salary: $160,000 - $180,000 per year
A bit about us:
Come join a growing direct-to-consumer e-commerce company in the lawn care industry, utilizing cutting-edge data analysis!
Job Title: Staff Software Engineer
Job Location: 100% REMOTE, but you must reside in one of the following states: AR, CA, CO, CT, HI, MA, ME, MN, MO, NC, NV, NY, OK, PA, TX, UT, VT, or WA.
Pay Rate: $160k-$180k/yr. + Comprehensive Benefits
Must have:
- 5+ yrs of Frontend Development experience, building & engineering user interfaces
- Expertise with React
- Experience leading frontend initiatives, making architectural decisions, bridging the gap between FE and existing BE systems, and mentoring team members
- Python, Django, and FastAPI
- Prior startup experience
Preferred Qualifications:
- Kubernetes, Argo, and Google Cloud Platform
- Experience building full-stack applications from scratch
- Infrastructure as code and DevOps experience
Why join us?
A mission-driven company focused on sustainability and innovation.
? A remote-first culture with flexibility and autonomy.
? A collaborative and supportive team environment.
? Competitive salary, equity, and benefits.
If you’re passionate about building great software and want to work on products that make a positive environmental impact, we’d love to hear from you
Job Details
We are seeking a talented and experienced Staff-level Full Stack Engineer with a strong emphasis on frontend development to help shape the future of our digital products. This is an opportunity to have a major impact on our technology stack, user experience, and engineering culture as we continue to scale. You will work closely with a cross-functional team of designers, product managers, and backend engineers to build high-quality, performant, and scalable web applications.
REQUIREMENT: You must reside in one of the following states: AR, CA, CO, CT, HI, MA, ME, MN, MO, NC, NV, NY, OK, PA, TX, UT, VT, or WA.
What You’ll Do
? Lead Development: Drive the development of new product features from concept to launch, ensuring high-quality implementation and user experience.
? Design & Architect: Build scalable, high-performance frontend architectures that seamlessly integrate with backend APIs.
? Technical Decision-Making: Evaluate trade-offs between different solutions and make informed technical choices that align with business and user needs.
? Mentorship: Support other engineers through code reviews, pair programming, and technical guidance.
? Collaboration: Work closely with Product, Design, and Backend teams to deliver cohesive and intuitive user experiences.
? Process Improvement: Contribute to enhancing development processes, best practices, data driven decisions, and engineering culture.
Must have:
- 5+ yrs of Frontend Development experience, building & engineering user interfaces
- Expertise with React
- Experience leading frontend initiatives, making architectural decisions, bridging the gap between FE and existing BE systems, and mentoring team members
- Python, Django, and FastAPI
Preferred Qualifications:
- Kubernetes, Argo, and Google Cloud Platform
- Experience building full-stack applications from scratch
- Infrastructure as code and DevOps experience
Interested in hearing more? Easy Apply now by clicking the "Apply" button.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: /privacy-policy
This Jobot Job is hosted by: Charles Simmons
Are you a fit? Easy Apply now by clicking the "Apply" button
and sending us your resume.
Salary: $140,000 - $180,000 per year
A bit about us:
We’re transforming how government agencies digitize forms and automate workflows. Our new initiative brings AI directly into this process - using LLMs, vector search, and structured PDF parsing to accelerate public service delivery. We’re not just bolting AI onto the side. It’s becoming core to how our platform works.
We’re looking for a senior machine learning engineer to take the lead on this effort. You’ll be the architect of our AI capability - not just a contributor. Your work will touch thousands of public-facing government forms, helping real people get things done faster and more accurately. This isn’t an R&D team running experiments - it’s about delivering intelligent automation, right now.
Why join us?
- 100% remote based in the US
- Help shape the AI transformation of public sector services
- Lead initiatives that ship real impact, not just prototypes
- Greenfield development on a proven, profitable platform
- Comprehensive Health, Vision, Dental coverage for individuals and families
Job Details
You’ll design and build our machine learning infrastructure - starting with vector search and retrieval-augmented generation and expanding into fine-tuned LLMs with human feedback loops. You’ll work across product and engineering to embed intelligent behaviors into our no-code form builder. This is not a research job or a sandbox role - it’s a real opportunity to push AI into production at scale.
What you’ll do
- Build and tune vector-based retrieval pipelines using OpenAI embeddings and Azure AI Search
- Design prompt strategies and agents to translate parsed PDF data into form component schemas
- Fine-tune LLMs for structured output generation with low-latency performance in mind
- Lead the development of an RLHF loop that incorporates builder UI feedback and audit data
- Help architect systems that blend traditional APIs and probabilistic inference reliably
- Work alongside full-stack and platform engineers to get it all running in production
- Stay plugged into the latest model capabilities, and make smart calls on what to adopt
Tech you’ll use
- Azure AI Studio, Azure OpenAI, GPT-4o
- Python (for agents, functions, orchestration), .NET 8 (for integration layers)
- Azure AI Search, CosmosDB, MSSQL
- Kubernetes (AKS), Azure Blob, Octopus for CI/CD
- for structured PDF parsing
What we’re looking for
- 5+ years in applied ML, including experience with retrieval, embeddings, and prompt engineering
- Strong Python skills and familiarity with production-grade ML pipelines
- Experience designing and tuning RAG workflows with hybrid search
- Familiarity with RLHF and fine-tuning on structured JSON output
- Solid grasp of system-level thinking—how to bring ML into product environments cleanly
Nice to have: .NET understanding, especially for integration and orchestration layers
What success looks like in 6 months
- You’ve shipped a working vector search + RAG pipeline integrated into our form builder
- You’ve scoped and kicked off our first LLM fine-tuning cycle
- We’re collecting human feedback to improve model accuracy
- You’ve helped define the roadmap for AI integrations across the platform
Interested in hearing more? Easy Apply now by clicking the "Apply" button.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: /privacy-policy
Date Posted:
2026-03-09Country:
United States of AmericaLocation:
US-TX-RICHARDSON-C27 ~ 1727 Cityline Dr ~ CITYLINE C27Position Role Type:
OnsiteU.S. Citizen, U.S. Person, or Immigration Status Requirements:
The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearanceSecurity Clearance Type:
TS/SCI without PolygraphSecurity Clearance Status:
Active and existing security clearance required after day 1At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world.
We are seeking a Principal Platform Architect to lead the design and evolution of our Internal Developer Portal and Developer Experience ecosystem. This role focuses on building intuitive, self-service workflows that enable development teams to onboard, deploy, and operate software efficiently across secure environments.
You will operate at the intersection of product, platform, and users — translating developer needs into usable platform capabilities. The role requires strong frontend engineering instincts, backed by solid backend and cloud-native platform knowledge.
You will help define how engineers interact with the platform — not just build services but design the experience. This position involves architecting UI workflows, integrating APIs, enabling self-service automation, and shaping platform standards used across multiple programs and security domains.
What Makes This Role Unique
This is not a traditional backend platform engineering role. You will design how developers interact with the platform itself — shaping onboarding, automation, and daily workflows across a large engineering organization. Success in this role is measured by developer adoption, efficiency, and satisfaction. You will be the person who turns infrastructure into a usable product.
What You Will Do
- Architect and implement an Internal Developer Portal (IDP)
- Design user-focused workflows for onboarding, resource provisioning, and lifecycle management
- Develop frontend experiences using modern web frameworks (React/TypeScript)
- Implement backend services and APIs supporting the portal (Python/FastAPI)
- Integrate platform systems (Kubernetes, CI/CD, identity, secrets, cost services, and infrastructure automation)
- Partner with platform teams to convert infrastructure capabilities into self-service products
- Improve usability, adoption, and developer satisfaction across the platform
- Define and evolve developer experience standards and patterns
- Gather feedback from engineering teams and translate it into product improvements
- Create documentation and enablement materials
- Communicate technical concepts to both engineers and leadership
Qualifications You Must Have
- Typically requires BS/BA Degree in Science, Technology Engineering Math (STEM) in Computer Science, Computer Engineering, Information Technology or Physics and a minimum 8 years of related work experience
- Experience with Windows and Linux operating systems (RHEL 8+ preferred)
- Experience in one or more of the following
- Programming: Python, Java, TypeScript, Golang, Rust, Shell
- Frameworks: React/Next.js, Flask, Spring Boot, Svelte
- Infrastructure as Code: Terraform, Ansible or equivalent
- Data formats: JSON, XML, YAML, SQL
- Experience in one or more of the following
- Cloud platforms: AWS, Azure, or similar on-prem/self-hosted infrastructure
- Containerization: Docker, Podman
- Orchestration: Kubernetes, Rancher
- Databases: PostgreSQL, MongoDB
- Product tooling: Jira / Atlassian ecosystem
- Observability platforms
- Generative AI developer tooling
- Ability to obtain a TS/SCI security clearance is required after day 1. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance
Qualifications We Prefer
- Experience building or supporting Internal Developer Platforms (IDPs)
- Experience improving developer workflows or platform usability
- Background in DoD, Intelligence, or Space environments
- Experience working in scaled agile environments
- Experience leading platform or product initiatives
- Ability to understand Modern DevSecOps practices
- Ability to understand Software testing methodologies
- Experience with RESTful API and distributed architecture design
- Experience with Secure system design principles
- Experience with Technical documentation
- Ability to understand business, product, and engineering context simultaneously
- Ability to research, prototype, and recommend platform strategy
- Experience defining engineering standards and processes
What We Offer
- Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation
Learn More & Apply Now!
- Please consider the following role type definition as you apply for this role
- Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products
This position requires security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: : Richardson, TX
- We Are RTX
As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.
The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.RTX 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, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.
Privacy Policy and Terms:
Click on this link to read the Policy and Terms
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 #1 choice for the military community and their families.
Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful.
The Opportunity
This posting is for multiple P&C Actuarial Analyst positions on the pricing, indications, and forecasting teams. These roles require experienced analysts to independently apply actuarial methods for accurate pricing and process improvement, mentor colleagues, provide strategic insights, and manage business risks in compliance with internal risk management policies.
We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position.
Experienced analyst responsible for independently applying actuarial methodologies to complete structured projects and serves as a technical subject matter expert on assigned tasks.
What you'll do:
Independently applies actuarial methodologies to complete structured projects (e.g.)
Builds tools to test and implement new methodologies that improve accuracy of actuarial analysis; utilizes model results to select new variables and refresh existing variables in a rating algorithm; analyzes results from multiple methodologies to propose reserve selections and documenting rationale).
Identifies and improves existing processes utilizing actuarial, mathematical, or statistical techniques.
Proactively resolves technical issues and identifies appropriate issues for escalation.
Assists others with troubleshooting issues.
Creates instructions and training materials for actuarial tools and processes.
Mentors new team members.
Apply business acumen to provide actionable insights that help solve business problems.
Effectively communicates insights and solutions to broad audiences including actuarial and non-actuarial stakeholders.
Ensure 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 related actuarial/business/analytical experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
2 years of actuarial or analytical business experience.
3 Casualty Actuarial Society (CAS) exams.
Experience with relevant actuarial, mathematical, and statistical techniques and approaches used to support fact-based decision-making.
Intermediate knowledge of data analysis tools, data visualization, developing analysis queries and procedures in Python, R, SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect technical insights to business problems.
What sets you apart:
Familiarity with Excel and at least one programming language or modeling software package (Python, SQL, R, SAS, etc.).
Demonstrated experience with basic actuarial pricing methodologies.
Demonstrated experience aggregating and analyzing data to solve problems.
Ability to effectively communicate insights and solutions to broad audiences including actuarial and non-actuarial stakeholders.
P&C Personal Lines pricing experience.
Familiarity and experience with industry pricing software such as Earnix.
US military experience through military service or a military spouse/domestic partner.
Compensation range: The salary range for this position is: $77,120 - $138,810.
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.
Key Responsibilities AI/ML Engineer Implement version control for code, data, and models using GitLab, SonarQube, Jenkins, Artifactory Automate testing frameworks using AI capabilities, including model validation tests Design blue/green deployment strategies using AI capabilities Automated build, scans and deploy including vulnerability remediation capabilities Required Qualifications Bachelor's degree in Computer Science, Engineering, or related field 7+ years of experience in DevSecOps, Site Reliability Engineering, Hands on knowledge of AI tools, Models, practical use case implementation Proficiency in at least one programming language commonly used in AI (Python, Java) Hands-on experience with cloud platforms (AWS, Azure, GCP) Understanding of ML frameworks (TensorFlow, PyTorch, scikit-learn) Experience with CI/CD tools (Jenkins, GitHub, GitLab CI, Artifactory) Hands on experience with automated security vulnerability detection and remediation using security scanning tools in DAST/SAST/IAST scanning space Hands on experience building and deploying Agentic capabilities using AI Agentic tools, processes across the technology and business landscape Skills LLM ( Claude/ OpenAI) with focus on reasoning/agentic use cases Agentic AI framework LangChain, LangGraph, CrewAI Context Engineering MCP Vector databases RAG Python language proficiency is must.
Deep understanding of cloud engineering as related AI, DevOps, Automation Strong troubleshooting and problem-solving abilities Excellent communication skills to work with both data scientists and operations teams Familiarity with agile development methodologies Knowledge of security best practices for AI systems Ability to balance technical requirements with business needs
- Onsite 2 days per week Duration: 1 year with possible extension.
Job Description: • Lead the design and development of scalable and high-performance solutions using AWS services.
• Experience with Databricks, Elastic search, Kibanna, S3.
• Experience with Extract, Transform, and Load (ETL) processes and data pipelines.
• Write clean, maintainable, and efficient code in Python/Scala.
• Experience with AWS Cloud-based Application Development • Experience in Electronic Health Records (EHR) HL7 solutions.
• Implement and manage Elastic Search engine for efficient data retrieval and analysis.
• Experience with data warehousing, data visualization Tools, data integrity • Execute full software development life cycle (SDLC) including experience in gathering requirements and writing functional/technical specifications for complex projects.
• Excellent knowledge in designing both logical and physical database model • Develop database objects including stored procedures, functions, • Extensive knowledge on source control tools such as GIT • Develop software design documents and work with stakeholders for review and approval.
• Exposure to flowcharts, screen layouts and documentation to ensure logical flow of the system requirements • Experience working on large agile projects.
• Experience or Knowledge on creating CI/CD pipelines using Azure Devops Required Skills:
- Developing complex database systems.
Databricks.
Elastic search, Kibanna.
Python/Scala.
Oracle.
Experience with Extract, Transform, and Load (ETL) processes and developing Data Pipelines.
Experience with AWS.
Experience with data warehousing, data visualization Tools, data integrity .
CMM/CMMI Level 3 methods and practices.
Implemented agile development processes including test driven development.
Experience or Knowledge on creating CI/CD pipelines using Azure Devops- Nice to have
Remote working/work at home options are available for this role.
The resource in this role will be integral to developing, maintaining, and enhancing phase 1, making sure automated processes are functioning, streamlining critical business processes, data integrity, compliance, and securing the application.
This resource will also perform as a technical lead, providing technical guidance to the other developers in the department.
As a technical lead, the resource will participate in a variety of analytical assignments that provide for the enhancement, integration, maintenance, and implementation of projects.
The resource will also provide technical oversight to other developers in the team that support other critical applications.
Job Duties: · Lead the design and development of scalable and high-performance solutions using AWS services · Write clean, maintainable, and efficient code in Python/Scala · Implement and manage Elastic Search engine for efficient data retrieval and analysis · Execute full Software Development Lifecycle (SDLC), including gathering requirements and writing functional/technical specifications for complex projects · Develop database objects including stored procedures and functions · Develop software design documents and work with stakeholders for review and approval Job Qualifications: · 12+ years of experience developing complex database systems · 8+ years of experience with Databricks · 8+ years of experience using Elastic Search, Kibanna, and S3 · 8+ years of experience using Python/Scala · 8+ years of experience in Oracle · 5+ years of experience with Extract, Transform, and Load (ETL) processes, and developing data pipelines · 5+ years of experience with AWS Cloud-based Application Development · 5+ years of experience in data warehousing, data visualization tools, and data integrity · 5+ years of experience using CMM/CMMI Level 3 methods and practices · 5+ years of experience implementing Agile development processes, including test driven development · 3+ years of experience creating CI/CD pipelines using Azure DevOps · Experience with Electronic Health Record (EHR) HL7 solutions · Experience with data warehousing, data visualization tools, and data integrity, and designing both logical and physical database models · Extensive knowledge in source control tools, such as GIT · Exposure to flowcharts, screen layouts, and documentation to ensure logical flow of the system requirements · A minimum of a Bachelor’s Degree in a relevant field .
Remote working/work at home options are available for this role.