Claude Code Skill Creator Github Jobs in Usa

- Potential to make $350,000
- 250K base PLUS PRODUCTIVITY BONUS BASED ON RVUS and experience
- J1 waiver support
- BC/BE Family Medicine or Internal Medicine
- Full-time permanent
- Hybrid inpatient at hospital and SNF
- Monday thru Friday 40-hour schedule.

- No weekends
- No nights
- No phone call
- NP will take call
- To see 22 patients per day
- RVU bonus above 22 patients
- each additional patient is paid based on the RVU-based payment model.

The amount per patient increases with the level of care patient needs.

- Sign on bonus
- Relocation assistance, PTO 3 WEEKS, 1 week of CME plus $1,500.00 per year.

- Malpractice, Health Insurance (medical, dental and vision), 401k with a 3 percent match (candidate will qualify to participate starting 2nd month of their employment), long term disability insurance, Term life insurance.

Highly successful, physician-owned and run multi-specialty clinic seeks a sixth Gastroenterologist due to growth and demand.

ERCP and EUS available; Generalist considered.

A competitive guarantee with a production bonus and an excellent fringe benefit package will be offered year one; then shareholder status will be discussed.

Community is a dynamic urban center, which is a hometown for families and home of a nationally recognized University.

It has a vibrant downtown and riverfront and a strong, growing economy.

Residents have access to top quality education, can enjoy an active lifestyle with cultural, recreational, and leisure opportunities and live in safe neighborhoods.

Listed by Forbes as one of the top places to retire in the US.

Just one hour from Nashville, Tennessee and in one of the most populated metros in Kentucky.

Outpatient Internal Medicine in Queens.

Work out of a multi-specialty ambulatory care center that offers a broad range of services and state of the art equipment.

As an employee of one of New York's premier academic health systems, you will enjoy highly competitive base compensation in the $200-220,000 range adjusted for training, experience and community need.

In addition, RVU productivity bonus and one of the best benefits packages in the market including lucrative retirement contribution from day one.

Bilingual Spanish required.

Located in a culturally diverse neighborhood in central Queens.

Be a part of our success story. Launch offers talented and motivated people the opportunity to do the best work of their lives in a dynamic and growing company. Through competitive salaries, outstanding benefits, internal advancement opportunities, and recognized community involvement, you will have the chance to create a career you can be proud of. Your new trajectory starts here at Launch!

The Role:

Launch is actively seeking a visionary Solutions Architect / Principal Software Engineering Lead (AI) to design and deliver modern engineering and applied AI solutions across client engagements. This role blends deep hands‑on engineering, architectural leadership, AI system design, and client advisory. You will operate across system design, production‑grade engineering, multi‑agent architectures, cloud platform strategy, and the development of Launch’s AI practice.

Responsibilities Include:

Architecture & Technical Strategy

• Define the technical direction for client engagements end-to-end: discovery, design, build, and production hardening.
• Assess client technology ecosystems and identify high-impact opportunities for AI/ML integration.
• Lead architecture reviews, design sessions, and technology selection across cross-functional stakeholder groups.
• Translate ambiguous business problems into concrete engineering plans with clear scope, milestones, and risk callouts.

AI Engineering & Delivery

• Architect production agentic systems including multi-agent orchestration, agent harnesses, skill/tool composition, human-in-the-loop checkpoints, and inter-agent communication protocols (e.g., A2A, MCP).
• Build and govern MCP server ecosystems: design, deploy, and secure Model Context Protocol integrations connecting AI agents to enterprise data sources, internal APIs, and third-party platforms.
• Define agent skill and capability frameworks including reusable skill libraries, prompt engineering standards, and evaluation harnesses for consistent agent behavior across engagements.
• Architect RAG pipelines, fine-tuning workflows, and model lifecycle infrastructure (training, serving, experiment tracking) as foundational components of agentic systems.
• Integrate AI platforms and APIs (Azure OpenAI, Amazon Bedrock, Anthropic, Vertex AI) into production systems with enterprise-grade reliability, cost governance, and observability.
• Establish AI-native development practices: embed tools such as Claude Code, Cursor, and GitHub Copilot into team workflows with standards for AI-assisted code review, test generation, and documentation.
• Design evaluation and observability infrastructure including LLM eval frameworks, red-teaming, behavioral drift detection, and production monitoring across tool call chains, latency, and failure modes.
• Apply responsible AI governance: define guardrails, access controls, and audit patterns for agentic workflows in enterprise environments including scope containment and escalation paths.

Hands-On Engineering

• Write production code and lead by example — this role requires someone who is still close to the code.
• Design cloud-native architectures across multiple hyperscalers (AWS and Azure primarily) microservices, event-driven systems, serverless, and containerized workloads.
• Define and implement infrastructure-as-code using tools such as Terraform, Pulumi, CloudFormation, or Bicep.
• Design and optimize CI/CD pipelines, GitOps workflows, and container orchestration using Docker and Kubernetes.
• Establish observability and reliability practices using tools such as Datadog, Prometheus, Grafana, CloudWatch, or Azure Monitor.
• Drive security-by-design across the delivery lifecycle including IAM, network architecture, secrets management, and compliance automation.

Leadership & Client Advisory

• Lead engineering teams ranging from small squads to 10+ person delivery teams, scaling leadership approach to the needs of each engagement.
• Mentor and develop engineers at all levels through code reviews, pairing, and design coaching.
• Operate as a trusted advisor to client technical leadership and executive stakeholders. Communicate trade-offs clearly and build confidence.
• Influence without direct authority — driving alignment across cross-functional teams through technical credibility and stakeholder management.
• Lead discovery and requirements elicitation, surfacing the underlying business need beyond the stated request.
• Produce clear written artifacts: technical proposals, architecture decision records, SOWs, and executive-level status communication.
• Grow client relationships and identify follow-on opportunities through proposal contributions and delivery-driven account expansion.
• Contribute to Launch's growth — practice development, thought leadership, and hiring.

Qualifications:

Must-Haves:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• 10+ years in software engineering with demonstrated experience in architecture and technical leadership roles.
• 3+ years hands-on with AI/ML in production. Broad fluency across generative AI (LLMs, RAG, fine-tuning, agents), MLOps (model serving, pipelines, experiment tracking), and AI-integrated product development.
• Consulting or client-facing delivery experience with a proven ability to integrate into client organizations and establish credibility with technical and executive stakeholders.
• Full-stack engineering capability across frontend, backend, infrastructure, and data layers. Proficiency in multiple modern languages (e.g., Python, TypeScript/Node.js, C#/.NET, Java, or Go) with the ability to move between them as engagements require.
• Multi-hyperscaler depth across AWS and Azure, including their respective AI/ML service ecosystems (Bedrock, SageMaker, Azure OpenAI, Azure ML). GCP experience is a plus.
• Strong fundamentals in distributed systems, event-driven architecture, API design, and DevOps/platform engineering.
• Experience leading engineering teams in agile delivery environments.
• Business acumen with the ability to connect architecture decisions to cost, timeline, and organizational impact.
• Executive presence and communication skills effective with both technical and non-technical audiences.
• Proven ability to operate in ambiguous environments and adapt to diverse client cultures.

Strong Differentiators

• Experience contributing to the development of AI engineering practices, reusable frameworks, or internal accelerators within a consulting or enterprise environment.
• Experience advising C-suite or VP-level stakeholders on AI strategy, investment prioritization, and organizational readiness.
• Depth with agentic AI frameworks (LangChain, LangGraph, LangSmith, LlamaIndex, Semantic Kernel, CrewAI) and emerging standards like MCP (Model Context Protocol).
• Experience with enterprise data platforms (Databricks, Snowflake, BigQuery) in the context of AI/ML workloads.
• Cloud architecture certifications across AWS and Azure (AWS SA Professional, Azure Solutions Architect Expert).
• Published writing, open-source contributions, or conference speaking that demonstrates thought leadership in AI or software architecture.
• Domain depth in industries such as healthcare, financial services, retail, or public sector.

Compensation & Benefits:

As an employee at Launch, you will grow your skills and experience through a variety of exciting project work (across industries and technologies) with some of the top companies in the world! Our employees receive full benefits—medical, dental, vision, short-term disability, long-term disability, life insurance, and matched 401k. We also have an uncapped, take-what-you-need PTO policy. The anticipated base wage range for this role is $190,000 to $230,000. Education and experience will be highly considered, and we are happy to discuss your wage expectations in more detail throughout our internal interview process.

About Us

We're continuing to build a transformative healthcare accreditation platform that is revolutionizing how our clients and new hospitals manage compliance, quality improvement, and regulatory processes. Our platform combines cutting-edge technology with deep healthcare domain expertise to solve real problems for healthcare organizations nationwide.

The Opportunity

We are looking for motivated developers for our intern-to-full-time track. You will be given full-time responsibilities from day one in a high-velocity growth startup environment. You'll work directly with our engineering team on a production healthcare platform, gaining hands-on experience with enterprise-grade systems while making real contributions that impact our product and customers.

Compensation Structure:

The base position is unpaid; however, highly qualified candidates may receive upfront equity compensation based on their experience level and demonstrated capabilities. We evaluate each applicant individually and offer equity packages commensurate with their potential contribution.

About the Role We are hiring a Front-End Developer who can bridge the gap between front-end implementation, and design-to-code workflow. You will be responsible for a variety of tasks on the front-end, working on features all the way through to the final, pixel-perfect user interface.

Key Responsibilities

• Front-End Development: Build responsive, performant user interfaces and dashboards using React.js with modern patterns, implementing styling with a strong focus on raw CSS.
• Design & UI/UX Implementation: Collaborate with design by utilizing tools like Claude Code, Cursor, or Codex, adapting generated code, and focusing on pixel-perfect design implementation and mobile-first responsiveness using raw CSS/HTML.
• DevOps & Quality: Develop and maintain automated testing, version control using Git/GitHub, and contribute to CI/CD pipelines.

Technical Stack

• Front-End: React 18+ (JavaScript), Raw CSS, React Context/Query, Vite
• UI/UX: Raw CSS, HTML5, Figma

Required Qualifications

• Front-End Foundation: 2+ years of experience with React.js (JavaScript, modern patterns, hooks). Strong understanding of modern web security, data protection, and collaborative development workflows using Git/GitHub.
• Balance of use of a AI IDE (Cursor, Claude Code...) with your own logic and understanding
• Front-End Depth: Expertise in raw CSS and advanced JavaScript (ES6+), with proven ability to build complex, responsive, and performant UIs.
• UI/UX Implementation Depth: Experience specializing in raw CSS/HTML for advanced layouts, familiarity with AI Figma-to-code tools, and proven ability to adapt AI-generated code to align with an existing component architecture.

Preferred Qualifications (Nice to Have)

• Previous experience in a high-velocity team environment with separated responsibilities.
• Experience with DevOps practices (Docker, CI/CD).
• Experience contributing to or maintaining a react component library or design system.

Our Hiring Process We believe in a transparent and thorough selection process that respects your time:

• Initial Screening Call: Discussion of your background, experience, and career goals.
• Technical Challenge: A real-world technical challenge to complete at your own pace.
• Technical Interview: An in-depth discussion where you will walk through, debug, and defend your solution, demonstrating complete ownership and understanding of the entire codebase and architectural decisions—regardless of whether code was generated manually or with AI assistance.

We're looking for engineers who can think critically, adapt their approach, and truly understand the systems they build.

System Prompt Writer

Are you invested in the AI transformation that is well under way? Are you eager to bring your writing skills as well as your growing understanding of AI to help create unprecedented AI-powered experiences for people across the globe?

We’re looking for a highly creative, self-initiating, and AI-savvy writer to join us. We require written content to give guidance for the design of visual components, interaction flows, design concepts, and much more.

The ideal candidate will have a strong understanding of how knowledge and knowledge bases empower designers while at the same time enabling AI to provide quality design suggestions. They will need the ability to write concisely, and the capability to work across a vast ecosystem of product specificities. They will need to be comfortable working with agents across an agentic platform, working with tools like GitHub, VS Code, Claude Code and others for authoring needs. They will need to be a systems thinker, always mapping what they are delivering to the big picture. Most of all, the ideal candidate must care about people using technology inside and outside, making their experiences better.

Responsibilities:

• Write and product design documentation for the Design System
• Collaborate with a vast team of designers, product managers, and engineers across various teams to facilitate effective robust knowledge bases
• Leverage design knowledge for design component libraries to find gaps as well as redundancies
• Provide clear and concise instructions for designers and AI to drive coherent design across a broad spectrum of product areas

Requirements:

• Excellent writing and editorial skills with the ability to convey information concisely
• Strong understanding of design systems and component libraries
• Experience with tools and systems like GitHub, VS Code, Claude Code and others
• Experience with agents and agentic systems

Additional qualifications:

• Creative collaboration and problem-solving skills
• Experience with content publishing and content management systems
• Experience in customer research
• Experience with Figma

About Us

We’re continuing to build a transformative healthcare accreditation platform that is revolutionizing how our clients and new hospitals manage compliance, quality improvement, and regulatory processes. Our platform combines cutting-edge technology with deep healthcare domain expertise to solve real problems for healthcare organizations nationwide.

The Opportunity

The goal is to have interns turn into full time employees; Therefore, you will be given full time responsibilities day one. To add onto that, you will be working in a high velocity growth startup and will be required to move fast. You’ll work directly with our engineering team on a production healthcare platform, gaining hands-on experience with enterprise-grade systems while making real contributions that impact our product and customers.

Compensation Structure

Base position is unpaid, however qualified candidates may receive upfront equity compensation based on their experience level and demonstrated capabilities. We evaluate each applicant individually and offer equity packages commensurate with their potential contribution.

About the Role

We’re hiring for an AI Engineer. To be considered, you must have a deep expertise in a focus and some knowledge of the latter.

Requirements

• Deep specialization in one of these areas: Agentic AI (Claude Agent SDK, MCP Servers, Tool Use) + Node.js/TypeScript + AWS + RAG

• Strong understanding of modern practices and version control (Git)

• Ability to work collaboratively within a specialized team structure

• Passion for building production-ready, scalable systems

Nice to Have

• Experience working in team environments with separated responsibilities

• Understanding of production AI deployment

• Experience with Claude Code, MCP server development, or agentic AI frameworks

• Previous experience with healthcare or regulated industries

What You’ll Build

• Agentic AI systems: Autonomous agents using Claude Agent SDK, MCP servers, and tool use for domain-specific workflows, combined with RAG for knowledge retrieval via Bedrock

• Node.js API services: Production AI inference endpoints and services integrated into our existing Node.js/MongoDB platform + Voyage AI vector database management

• AWS AI services: Lambda-based inference, Bedrock integration

• Semantic search & MCP integrations: Knowledge extraction and contextual Q&A systems using S3 Vectors, Mongo DB Atlas and OpenSearch (hybrid search), exposed via MCP servers for agent consumption

Key Responsibilities

• Conduct exploratory data analysis to identify patterns in complex healthcare datasets

• Build agentic AI systems using Claude Agent SDK, MCP servers, and tool use, alongside RAG pipelines with AWS Bedrock and vector databases

• Manage vector databases: Mongo DB/S3 Vectors

• Develop document processing pipelines for text extraction and analysis

• Create production Node.js services for real-time AI inference, integrated with our MongoDB data layer

• Implement semantic search and knowledge extraction from document repositories

• Design Lambda-based inference systems on AWS

• Integrate LLMs via agentic frameworks (Claude Agent SDK, MCP) for domain-specific autonomous workflows and Q&A systems

• Develop ETL processes for external data sources and APIs

Required Qualifications

Candidates must meet all Core Qualifications.

Core Qualifications

• Node.js/TypeScript programming skills

• Git for version control

• Understanding of deployment and production systems

• Collaborative development workflows

AI/ML Development

• Experience building production AI services in Node.js/TypeScript

• 1+ years with AWS services (Lambda, Bedrock, S3, EC2) and agentic AI frameworks (Claude Agent SDK, MCP servers, tool use)

• RAG development experience with vector databases

• NLP/Document processing expertise (text extraction, classification, information retrieval)

Nice to Have

• Healthcare or regulated industry experience

• Experience with Claude Code and agentic development workflows

• Experience with Hugging Face transformers and LLMs

• MongoDB experience and familiarity with aggregation pipelines

• Time-series forecasting and anomaly detection

• Advanced statistical modeling (survival analysis, propensity scoring)

• Knowledge of data privacy and compliance frameworks

Technical Stack

AI/ML Development: Node.js/TypeScript, AWS (Bedrock, Lambda, S3, EC2), Agentic AI (Claude Agent SDK, MCP Servers, Tool Use, Claude Code), MongoDB, Vector Databases (S3 Vectors, OpenSearch), NLP libraries (sentence-transformers), Git

Our Hiring Process

We believe in a transparent and thorough selection process that respects your time while ensuring mutual fit:

Initial Screening Call

We’ll discuss your background, experience, and career goals, while providing an overview of the role and our team culture.

Technical Challenge (issued on case by case basis)

You’ll receive a real-world technical challenge to complete within a specified timeframe. We encourage you to leverage all available resources—including AI tools, documentation, and libraries—just as you would in a production environment. This reflects how we actually work and allows you to showcase your problem-solving approach.

Technical Interview

We’ll have an in-depth discussion about your solution and explore related technical concepts. You should be prepared to walk through every aspect of your submission—explaining architectural decisions, code logic, trade-offs, and potential improvements. Whether you wrote the specific code section manually or generated it with AI assistance, you must demonstrate complete ownership and understanding of the entire codebase. This is a production-level assessment: we expect you to discuss, debug, and defend your work as if it were going live tomorrow.

We’re looking for engineers who can think critically, adapt their approach, and truly understand the systems they build—not just those who can generate code.

Ready to apply? We look forward to hearing from you!

MedLaunch is an equal opportunity employer committed to diversity and inclusion.

Pyramid Systems is seeking an experienced DevOps/AWS Engineer take responsibility for creating, building, deploying, orchestrating, and automating deployment packages in AWS cloud-based environment.

• Design and automate cloud environments at scale using Infrastructure as Code tools
• Design and develop fully automated software delivery pipelines
• Efficiently collaborate within and across agile teams to maximize productivity
• Develop technical documentation, architecture diagrams, and similar
• Engage in all agile ceremonies including backlog grooming, demos and retrospectives
• Eliminate roadblocks and hindrances preventing teams from delivering software
• Assist the team in documenting and leveraging cloud and DevOps best practices
• Fullstack development using modern frameworks and languages Python or JavaScript
• Quickly learn and adapt to new technologies, frameworks, or project requirements as needed
• Apply critical thinking and a solutionoriented mindset to identify issues and propose effective resolutions
• Integrate AI/ML models into applications to enhance functionality, automation, and overall user experience
• Collaborate with crossfunctional teams to design scalable architectures supporting both traditional and AIdriven features
• Implement best practices for model deployment, data handling, and performance optimization in AIenabled systems

• Bachelor's degree in computer science, engineering, or related field
• Must have AWS certs and/or CompTIA relevant certifications
• 5+ years of experience managing cloud or virtualized infrastructure
• Passionately practices Infrastructure automation using Terraform, Ansible, or similar
• Knowledge and familiarity with Docker and Kubernetes
• Fluent in at least one programming language - Python, Go, Typescript, JavaScript or similar
• Strong system administration experience in Linux
• Knowledge of AWS DevOps with GitHub Actions, GitLab CI/CD, Jenkins, or similar
• Strong team player, communicates well, and caries an infectious can-do attitude
• Must have hands on experience with Claude Code or similar AI tools
• Strong experience in compliance frame works like: ATO, SOC 2, PCI-DSS, FedRAMP, NIST 800-53, or CIS Benchmarks

It All Starts with Our People

As the leader in automotive preventive maintenance, Valvoline has a proven track record of growth. We continue to invest in our people, processes, and technology to strengthen our ability to efficiently deliver Quick, Easy, Trusted service across all our stores – every day. We're not just in the car business; we're in the people business. And we're looking for humble, hungry, and smart people to help us shape the future of mobility. If you're hungry to drive change and seek a dynamic, collaborative environment that fuels both personal and professional growth, you've found your place with us.

Our highest priority is creating a welcoming workplace with team members from a wide variety of diverse backgrounds and experiences.

How You'll Make a Difference

Valvoline has a rewarding opportunity as a Director, Quality Engineering. In this role, you’ll be a strategic and hands-on leader who will drive the transformation of quality across our technology organization. This leader will be responsible for building and scaling a modern Quality Engineering function that goes beyond traditional QA, with ownership spanning QA environments, test automation, AI-enabled quality practices, quality governance, best practices, and the establishment of a Quality Engineering Center of Excellence (COE).

The ideal candidate will bring a strong blend of leadership, technical depth, operating model design, and change management, with the ability to embed quality throughout the software development lifecycle. This role will partner closely with Engineering, Product, Architecture, Infrastructure, Security, and Delivery teams to create a scalable, efficient, and forward-looking quality strategy that supports speed, reliability, and business growth.

Key Responsibilities

Quality Engineering Strategy & Leadership

• Define and lead the enterprise Quality Engineering vision, strategy, and roadmap aligned to Valvoline’s broader technology and business priorities.
• Shift the organization from traditional testing approaches to a modern quality engineering model focused on prevention, automation, continuous validation, and measurable quality outcomes.
• Establish quality as a shared responsibility across product, engineering, and delivery teams while maintaining strong governance and standards.
• Lead, mentor, and grow a high-performing team of quality engineers, automation engineers, and QA leaders.

QA Center of Excellence (COE)

• Build and operationalize a Quality Engineering Center of Excellence (COE) to define frameworks, standards, tooling, reusable assets, and governance processes.
• Create enterprise-wide best practices for test design, automation, environment strategy, defect management, release readiness, and quality metrics.
• Standardize quality processes across portfolios while allowing for flexibility based on product and platform needs.
• Develop playbooks, templates, training, and maturity models to improve quality capability across teams.

Automation & Tooling

• Define and execute an enterprise test automation strategy across UI, API, integration, data, regression, performance, and end-to-end testing.
• Drive adoption of scalable automation frameworks and ensure integration with CI/CD pipelines and DevOps practices.
• Evaluate, select, and optimize quality tools and platforms to improve speed, coverage, traceability, and reporting.
• Increase automation efficiency and effectiveness by implementing reusable components, common libraries, and engineering best practices.

AI-Enabled Quality Engineering

• Lead the adoption of AI and intelligent automation within quality engineering, including opportunities such as:

test case generation

intelligent defect triage

predictive risk analysis

self-healing automation

release quality insights

test optimization and prioritization

• Assess emerging AI capabilities and define practical use cases that improve quality outcomes, team productivity, and speed to market.
• Partner with engineering and architecture leaders to ensure AI solutions are implemented responsibly, securely, and at scale.

QA Environments & Test Data Management

• Own the strategy for QA environments, including environment planning, availability, stability, governance, and optimization.
• Partner with infrastructure and platform teams to improve environment readiness, reduce bottlenecks, and support parallel delivery.
• Establish strong processes for test data management, environment provisioning, and integration dependency coordination.
• Drive improvements in environment monitoring and readiness reporting to reduce delays and improve release confidence.

Governance, Metrics & Best Practices

• Define and implement quality KPIs, SLAs, dashboards, and scorecards to provide visibility into quality performance, automation maturity, defect trends, release risk, and environment health.
• Set standards for quality gates, entry/exit criteria, defect leakage reduction, root cause analysis, and continuous improvement.
• Build a culture of measurable quality and operational discipline through governance routines, audits, and executive reporting.
• Ensure best practices are embedded into agile delivery, DevSecOps, and release management processes.

Sourcing & Vendor Management

• Define the sourcing strategy for quality engineering capabilities, including the right balance of internal talent, strategic partners, and offshore/onshore vendor models.
• Lead vendor evaluation, selection, governance, and performance management related to quality engineering and testing services.
• Optimize spend, capability, and service quality across external partners while ensuring alignment to Valvoline standards and delivery expectations.
• Build workforce strategies that support both immediate delivery needs and long-term capability development.

Cross-Functional Partnership

• Partner with Product, Engineering, Infrastructure, Security, Architecture, and PMO leaders to embed quality into planning, design, development, and release processes.
• Influence senior stakeholders on quality investments, transformation priorities, and operating model improvements.
• Support mission-critical initiatives by ensuring strong quality planning, risk management, and execution.

What You’ll Need to Succeed

Qualifications

• 10+ years in software quality engineering
• 5+ years leading enterprise QA teams
• Experience in high-volume retail, omnichannel, or consumer-facing environments strongly preferred
• Deep experience with:

Automation frameworks (Selenium, Cypress, Playwright, etc.)

API testing tools

CI/CD tools

Performance testing tools (JMeter, LoadRunner, etc.)

• Experience leading QA in Agile/SAFe or hybrid environments
• Experience using agentic tools for test development and integrating work with agentic code development (ie: Github Copilot, Claude code)
• Proven track record reducing defect escape rates

Leadership Competencies

• Enterprise systems thinker
• Data-driven decision maker
• Builder of scalable processes
• Collaborative but boundary-setting partner
• Comfortable operating in fast-paced retail cycles
• Must be authorized to work in the U.S.

We Take Care of the WHOLE You

• Health insurance plans (medical, dental, vision)
• HSA and flexible spending accounts
• 401(k)
• Incentive opportunity*
• Life insurance
• Short and long-term disability insurance
• Paid vacation and holidays*
• Employee Assistance Program
• Valvoline Instant Oil Change discounts
• Tuition reimbursement*
• Adoption assistance*

*Terms and conditions apply, and benefits may differ depending on position.

Your Path to Valvoline

Valvoline 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.

Join us in revolutionizing the automotive aftermarket industry while enjoying competitive benefits, a supportive work culture, and opportunities for advancement. Apply now and become an integral part of our journey at Valvoline.

The Company endeavors to make its recruitment process accessible to any and all users. Reasonable accommodations will be provided upon request to applicants with disabilities to facilitate equal opportunity throughout the recruitment and selection process. Please contact Human Resources at 1.833.VVV.Report or email to make a request for reasonable accommodation during any aspect of the recruitment and selection process. The contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.