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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.

What You'll Do

*During the internship you may choose the area to focus on...

Application Testing & Quality Assurance

• Design and execute comprehensive test plans for our healthcare portal
• Perform manual testing across web applications, APIs, and integrations
• Identify and document bugs, usability issues, and edge cases
• Test healthcare compliance features (HIPAA, document security, audit trails)

Test Automation Development

• Build automated test suites using modern testing frameworks
• Develop API testing scripts for healthcare data integrations
• Create performance testing scenarios for document upload/processing
• Implement continuous testing pipelines with CI/CD integration

AI/ML Quality Support

• Collaborate with our AI team on document processing accuracy testing
• Help validate machine learning models for healthcare document extraction
• Design test datasets for training and validation of AI systems
• Analyze and report on AI/ML model performance and data quality

Data Engineering Quality Assurance

• Develop data quality monitoring and validation processes
• Create automated checks for data integrity across MongoDB systems
• Build dashboards and alerts for data quality metrics
• Support ETL pipeline testing and validation

Process Improvement & Strategy

• Analyze current QA processes and identify optimization opportunities
• Research and recommend new testing tools and methodologies
• Participate in technical decision-making and sprint planning
• Document QA best practices and create team knowledge base

What We're Looking For

Required Qualifications:

• Currently pursuing or recently completed degree in Computer Science, Engineering, or related field
• Strong understanding of software testing principles and methodologies
• Experience with at least one programming language (Python, JavaScript, Java, etc.)
• Basic knowledge of databases (SQL/NoSQL) and API testing
• Excellent problem-solving skills and attention to detail
• Strong communication skills and ability to work in a collaborative environment

Preferred Qualifications:

• Experience with test automation frameworks (Selenium, Pytest, Jest, etc.)
• Knowledge of healthcare IT, compliance requirements, or regulated industries
• Familiarity with cloud platforms (AWS) and DevOps practices
• Experience with data analysis, ETL processes, or machine learning
• Previous internship or project experience in QA/testing roles

Technical Skills We'd Love to See:

• Testing Tools: Selenium, Postman, Jest, Pytest, Cypress
• Programming: Python, JavaScript, SQL
• Databases: MongoDB, SQL databases
• Cloud/DevOps: AWS, Docker, CI/CD pipelines
• Data Tools: Pandas, data validation frameworks
• Version Control: Git, GitHub

What You'll Gain

Professional Development:

• Real Impact: Your work directly affects a production healthcare platform used by hospitals
• Mentorship: Work closely with senior engineers and receive structured feedback
• Healthcare Domain Knowledge: Learn about healthcare compliance, accreditation, and regulatory requirements
• Enterprise Technology: Gain experience with production-grade systems, security, and scalability

Technical Skills:

• Advanced testing methodologies and automation frameworks
• Healthcare data processing and compliance requirements
• AI/ML model testing and validation techniques
• Data engineering and quality assurance practices
• Modern DevOps and CI/CD practices

Career Opportunities:

• Immediate Value: Potential upfront equity compensation based on qualifications
• Strong potential for full-time conversion based on performance
• Network with healthcare technology professionals
• Portfolio of real-world healthcare technology projects
• Experience that's highly valued in the growing healthtech sector

Our Tech Stack

• Frontend: React, Modern CSS
• Backend: Node.js, TypeScript, Python, RESTful APIs
• Database: MongoDB, with future SQL integrations
• Cloud: AWS (EC2, S3, Lambda, RDS)
• AI/ML: Document processing, natural language processing
• Security: HIPAA compliance, encryption, audit logging
• DevOps: Docker, GitHub Actions, automated testing

Compensation & Equity

• Base Position: Unpaid educational internship
• Equity/Stock Compensation: Available upfront based on applicant qualifications and experience level

Our Hiring Process

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

1. Initial Screening Call We'll discuss your background, experience, and career goals, while providing an overview of the role and our team culture.
2. Technical Interview We'll have an in-depth discussion about your experience and explore related technical concepts. You should be prepared to walk through every aspect of quality assurance as it pertains to your resume.

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

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

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

Job Title: React Native Engineer

Location: Newark, NJ (Hybrid)

Duration: 6+ Months

• 
  
• Work collaboratively with Brand, Design/Creative, Product, Accessibility, User Research, Analytics and Technology SMEs.
  
• Create and maintain mobile branding, themes, components, modules, patterns and templates as reusable libraries, test automations and documentation.
  
• Adhere to clients Brand, Design, Engineering and Accessibility guidelines and standards.
  
• Provide leadership on implementing and improving mobile platform coding standards, tools and workflow.
  
• Prioritize and orchestrate the work of others.
  
• Consult closely with Product teams who develop full mobile native applications.
  

What You'll Need:

• 
  
• Must have experience in an agency environment or regulated industry (financial services preferred).
  
• Must possess at least 5 years of iOS and Android development experience. Use of React Native is mandatory; occasional lower-level Swift/Gradle interoperability is a plus.
  
• Must have experience coding, publishing and maintaining mobile libraries over several major versions.
  
• Have solid experience coding and supporting automated tests against UI libraries (Vitest/Jest preferred) and high-value journey flows (Appium or equivalent).
  
• Must have experience crafting accessible experiences including interactions with assistive technologies.
  
• Must have experience with Figma, possess strong design-thinking and be comfortable working in a design-led product development environment.
  
• Additional pluses include the use of Storybook, Figma Code Connect, BrowserStack/Saucelabs for visual and automated QA, mainstream AI agents, and Github Actions (or equivalent).
  
• Have experience mentoring junior associates and facilitating a "we win together" ethos.
  

Open date: February 25, 2026

Next review date: Wednesday, Mar 11, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Friday, Mar 27, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for two Project Scientists at the Assistant, Associate, or full rank. The selected candidate will be appointed at the rank to commensurate with prior experience. The position will report to Professor Gokul Upadhyayula, with Professor Eric Betzig serving as an additional academic mentor. The project scientist will make significant and creative contributions in the area of machine learning & data analytics.

The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access to leading - edge imaging and computing hardware, as well as exposure to collaborators from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more.

The Assistant/Associate/Full Project Scientists will be an integral part of a visionary scientific team driving cutting-edge biological discoveries through immediate applications of critical advances in imaging technologies. These positions will work with a dedicated team to develop data analytics software in terabyte- to petabyte-scale imaging projects. The incumbents will develop and refine machine learning applications and manage projects and provide regular progress reports to PIs and collaborators.

Successful candidates will be an integral part of the expert team working together with computational scientists and biologists in experimental design to tackle complex biological questions in a quantitative manner. The work will primarily be conducted at the facility in Barker Hall. Occasional travel may be required.

Key Responsibilities

*Make significant and creative contributions to development of new imaging and data processing tools for datasets generated on multicellular tissues, organoids, transparent embryos.

*Design, build, and maintain new software packages for efficient data processing.

*Advise on applications of these tools for biological imaging; collaborate with Postdocs and graduate students on specific projects to test, learn and implement for general and specific use cases.

*General organization and management of software documentation.

*Bring cross disciplinary expertise to solve problems at the intersection between life science, computer vision, and state-of-the-art AI methods.

*Work with petabyte-scale light sheet datasets that are typically 4D or 5D (x,y,z,t,chemistry). Identify and implement scalable solutions to scientific questions on large-scale data sets, especially using performant algorithms.

*Develop machine learning approaches, computer vision tools to help pre-process dataset and annotations to generate groundtruth benchmarks.

*Contribute to dissemination via open source code repositories, demonstrations, publications, presentation.

These positions will be eligible for full benefits.

Lab:

Contract: ar-contract-2022/

*PhD (or equivalent international degree)

*Minimum of four years of postdoctoral research experience

*For consideration for the Associate Project Scientist rank: a minimum of 8 years of post PhD research experience

*For consideration for the full Project Scientist rank: a minimum of 14 years of post PhD research experience

*PhD or equivalent international degree in Computation Data, Computer Sciences, Bioinformatics or Related field

*Demonstrated record of productivity and publications and/or scholarly contributions

*Strong biological background and understanding of molecular biology

*Demonstrate understanding of optical microscopy, including light sheet microscopy, adaptive optics, and modern scientific cameras

*Demonstrated ability to work in a research team, manage active collaborations with other academic groups

*Demonstrated experience handling and processing large scale imaging datasets (>100TB to petabyte scale and beyond)

*Expertise in programming in C++, Labview, MATLAB, Python

*Expertise in databases, data infrastructure, data governance

*Expertise in high performance computing using SLURM or LSF

*Experience with PyTorch, JAX, or Tensorflow

*Experience with NVIDIA CUDA and related OpenMP programming

*Experience with cloud services (AWS, GCP, Azure, etc)

*Experience with state of the art AI/ML architectures (vison transformers, diffusion models, etc

*Experience mentoring undergraduate/graduate students, and/or technicians.

*Experience with professional speaking engagements

*Ability to effectively communicate, participate in efficient and open collaboration, and engage with a diverse group of researchers

*The ideal candidate will be innovative and able to synergize various ideas and approaches, while exercising sound judgment to evaluate and take acceptable risks

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Statement of Research - Provide a summary of your major research accomplishments in approximately 250 words. Additionally, please include a brief statement highlighting your experience that is directly relevant to the key responsibilities of this position

  
  

• Project Portfolio - Summary portfolio of data and/or AI projects executed, as demonstrated by publications or github contributions

  
  

• 3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley 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, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Hands-On Product Manager — AI-Native Recruiting Platform (HireHQ)

Build the AI operating system for recruiting.

HireHQ is building the next generation AI-native recruiting platform — one that eliminates manual recruiter workflows and replaces them with intelligent automation, AI copilots, and decision intelligence.

Traditional ATS platforms were built for record keeping.

HireHQ is building a recruiting operating system that helps companies find, evaluate, and hire the best talent faster.

We are looking for a highly hands-on Product Manager who can help design and ship this future.

This is not a traditional PM role. You won’t just write tickets and manage roadmaps.

You will:

• Prototype product ideas yourself
• Use AI tools to rapidly build concepts
• Work directly with engineers
• Drive automation across recruiting workflows
• Ship AI-native features quickly

If you like building products at the intersection of AI, automation, and recruiting, you’ll thrive here.

What You'll Work On

You’ll help build core capabilities of the HireHQ recruiting platform, including:

AI Candidate Discovery

• AI-powered candidate search
• Intelligent candidate matching
• Automated candidate enrichment
• Talent graph and candidate insights

AI Screening & Evaluation

• Resume and profile understanding
• AI candidate scoring and ranking
• Interview intelligence and summarization
• Automated screening workflows

Recruiter Copilots

• AI recruiter assistants
• Automated outreach generation
• Pipeline prioritization
• Smart next-action recommendations

Candidate Experience

• AI-powered communication
• Automated follow-ups
• Interview scheduling automation
• Candidate journey insights

Recruiting Automation

• Workflow orchestration across the hiring pipeline
• Intelligent routing and task automation
• AI-driven pipeline management
• Recruiter productivity tools

Our goal is simple:

Reduce manual recruiting work by 80% while improving hiring outcomes.

What You'll Actually Do

You will operate like a product builder.

Ship Products

• Own product areas end-to-end
• Work directly with engineers to design solutions
• Move from idea → prototype → shipped feature quickly

Prototype With AI

You’ll actively use tools like:

• Cursor
• GitHub Copilot
• Claude
• ChatGPT
• Figma

to rapidly create:

• product mockups
• workflows
• prototypes
• PRDs
• user stories
• experimentation plans

We expect PMs to use AI as a force multiplier, not just write docs.

Design AI-Native Workflows

You'll help design product systems that use:

• LLMs
• semantic search
• embeddings
• candidate matching
• summarization
• automation engines

to eliminate manual recruiting work.

Drive Automation

You will constantly ask:

"Why is a human doing this?"

Then build systems that automate it.

Work Extremely Closely With Engineering

You will collaborate daily with engineers to:

• shape product architecture
• refine technical tradeoffs
• ship features quickly
• iterate with real customer feedback

What We're Looking For

Experience

• 5+ years in product management
• Experience building recruiting or HR tech products

Examples include:

• Applicant Tracking Systems (ATS)
• Recruiting CRM platforms
• Candidate engagement tools
• Talent sourcing platforms
• Interview platforms
• Talent intelligence platforms

You deeply understand how recruiting actually works.

AI Product Thinking

You’ve helped build or design AI-enabled product capabilities, such as:

• candidate matching
• screening automation
• workflow automation
• recommendation systems
• AI copilots
• search and ranking systems

Builder Mindset

You like creating things, not just planning them.

You are comfortable:

• prototyping ideas
• creating workflows
• building product concepts independently
• using AI tools to accelerate execution

Comfort With Ambiguity

This is a startup environment.

You should enjoy:

• fast iteration
• unclear problems
• ownership
• shipping quickly

Strong Candidates Often

• Previously worked at HR tech or recruiting tech companies
• Have built ATS or recruiting workflow products
• Use AI tools daily for product development
• Think about automation and workflow intelligence
• Care deeply about shipping useful products quickly

What Success Looks Like

Within your first 3 months:

• Recruiters using HireHQ spend dramatically less time on manual tasks
• AI features automate key recruiting workflows
• Customers rely on AI insights to prioritize candidates
• Recruiters move from administrative work → strategic hiring

Why This Role Is Different

Most recruiting software was designed 15–20 years ago.

HireHQ is rebuilding recruiting software from the ground up using:

• AI agents
• workflow automation
• intelligent candidate matching
• recruiter copilots

This role is an opportunity to help build the AI operating system for hiring.

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.

Job Title: Rancher & Kubernetes SME

Location: Princeton, NJ - 08540

Mode: Contract Role – Onsite

only W2

Minimum 15+ years of experience required.

Qualifications:

• Design and implement Rancher-managed Kubernetes clusters (RKE, RKE2, K3s, EKS, AKS, GKE).
• Architect high availability (HA) Rancher setups.
• Define multi-cluster and multi-tenant strategies using Rancher projects, namespaces, and RBAC.
• Integrate Kubernetes with VMware, Bare Metal, and Cloud platforms.
• Establish standardized cluster blueprints and reference architectures.
• Act as final escalation (L3) for Kubernetes and Rancher incidents.
• Diagnose and resolve Control plane failures
• etcd performance and corruption issues
• Pod scheduling and node pressure issues
• CNI (Calico / Cilium) networking problems
• CSI storage failures (Ceph, Longhorn, EBS, Azure Disk, NFS)
• Perform root cause analysis (RCA) and provide preventive recommendations.
• Install, upgrade, and maintain Rancher Server.
• Manage cluster lifecycles using Rancher UI & APIs.
• Implement and manage Rancher RBAC, Authentication (AD / LDAP / Azure AD / SSO)
• Global & cluster-level policies
• Maintain Rancher backups, DR, and recovery procedures
• Enforce Kubernetes security best practices like Pod Security Standards (PSS)
• Network policies and Secrets management
• integrate Kubernetes with CI/CD tools e.g., GitHub Actions, GitLab CI, Jenkins, Argo CD
• Enable GitOps workflows for application and cluster configuration.
• Support Helm chart development and lifecycle management.
• Assist development teams with Deployment strategies, Resource optimization
• Troubleshooting application issues on Kubernetes

Experience:

• 6–10+ years in Linux / Infrastructure / Cloud
• 3–5+ years hands-on Kubernetes production experience
• Strong expertise in Rancher (RKE / RKE2 / K3s)
• Deep understanding of:
• Kubernetes control plane
• etcd
• Networking (CNI)
• Storage (CSI)

Thanks,

Rahul Gupta

Direct: (732) 743-7543

About the Role

We are looking for an IT Project Manager to support an Online Merchandising Solutions team, owning delivery for a core merchandising tool, along with a small set of supporting tools. This role requires a hands‑on, strategic PM who can manage complex initiatives, coordinate across technical and business stakeholders, and drive execution for AI and flowpath redesign efforts. You will develop effective plans to control project scope, schedule, and cost, ensuring adherence to the project plan. The assignment tasks will include creating and coordinating documentation to manage and communicate changes to the project baseline, as well as maintaining detailed logs of all submitted changes and their status.

Key Responsibilities:

Own end‑to‑end project delivery for main tool

Develop an effective plan for controlling project scope, schedule, and cost, and monitor project execution to ensure adherence to the plan

Lead initiatives focused on AI redesign and flowpath optimization

Manage and coordinate work across additional development resources

Act as the primary point of contact for the key stakeholder group

Prepare written status reports, scorecards, and presenting project reviews to senior leadership

Track timelines, risks, dependencies, and deliverables using Jira

Ensure alignment across stakeholders and drive projects to completion

Required Qualifications

3-5+ years in IT Project Management

Experience in cloud-based migrations

Jira

Retail or IT‑retail experience

Nice to have

Cloud/technical background

UI exposure

GBQ

GitHub

AG grid

We're building the next generation of AI-powered development tools. Looking for an engineer to:

Develop MCP (Model Context Protocol) servers and integrations

Build agentic AI workflows for GitHub Copilot, Cursor, Devin AI

Create VS Code extensions for AI coding assistants

Master prompt engineering & context optimization

Rapidly research and ship AI developer productivity solutions