Codex Github Review Jobs in Usa

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.
  

• 
  
• A typical day will involve a mix of hands-on coding, architectural design, and research.
  
• The engineer will spend a significant portion of their time in Python, building and optimizing agentic AI systems using frameworks like LangChain.
  
• This includes integrating these agents with our backend services and deploying them using CI/CD pipelines into our cloud environment.
  
• They will also be responsible for researching and testing new agentic models and frameworks, monitoring agent behavior in production, and collaborating with data scientists and business stakeholders to refine requirements and ensure the ethical deployment of AI solutions.
  

• 
  
• Python
  
• JavaScript/TypeScript
  
• AI Tools and Libraries (e.g. LangGraph, LangChain, Deep Agents, Claude Skills, etc.)
  
• AI Models (e.g. Claude, OpenAI, etc.)
  
• AI Concepts (e.g. Prompt Engineering, RAG, Agentic AI, etc.)
  
• Distributed SDLC/DevOps (e.g. github, pipelines, VS Code, testing frameworks, etc.)
  
• Platforms (Container Platforms, Cloud Platforms, Document Databases, AWS)
  
• API Design
  

• 
  
• Deep hands-on experience in Python for AI/ML development.
  

• 
  
• Generative AI Development: Proven experience developing Gen AI or AI/ML solutions, from use case conceptualization to production deployment.
  
• Infrastructure & DevOps: Strong understanding of cloud environments (AWS preferred), LLM hosting, CI/CD pipelines, Docker, and Kubernetes.
  
• Agentic AI Concepts: Knowledge of agentic/autonomous systems (e.g., reasoning, planning, tool use).
  

• 
  
• Proficiency in Python development and FastAPI/Flask frameworks, along with SQL.
  
• Familiarity with agentic AI frameworks and concepts such as LangChain, LangGraph, AutoGen, Model Context Protocol (MCP), Chain of Thought prompting, knowledge stores, and embeddings.
  
• Experience developing autonomous agents using cloud-based AI services.
  
• Experience with prompt engineering techniques and model fine-tuning.
  
• Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems.
  
• Experience working across cloud platforms (AWS, Azure, GCP) and deploying AI solutions at scale.
  

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality.

Flight Software links together the mechanical, avionics, algorithmic, and embedded worlds to actually make the airplane fly. As a Flight Software Test V&V Engineer, you will develop the test cases to support the test verification processes ensuring that the aviation products we develop are safe to fly and help provide a high-fidelity training environment for our flight-test crews.

Responsibilities

As a Flight Software Test V&V Engineer on the Simulation and Test Systems team, you will be instrumental in testing and deploying autonomous aircraft software. The Simulation and Test Systems team architects, builds, and maintains the hardware and software infrastructure necessary to verify aircraft performance prior to flight testing. Your responsibilities include verifying flight software functionality across diverse integrated test environments, such as software-in-the-loop (SIL), hardware-in-the-loop (HITL), and on-aircraft testing. You will also author and execute test procedures for on-ground aircraft testing.

A key part of this role involves designing, building, and maintaining automated test scripts within our test ecosystem. These scripts will support functional testing and requirements-driven software tests necessary for FAA certification.

This is a highly collaborative, hands-on position. You will coordinate with engineering teams throughout the company to develop test plans, execute tests, investigate issues, and drive problems to closure. You will also be responsible for the maintenance, installation, and troubleshooting of test and simulation equipment.

Basic Success Criteria

• 3+ years professional experience testing software

• 3+ years professional experience Python and exposure to C++ build systems

• 3+ years of experience testing integrated hardware / software products or mission-critical systems

• Experience authoring problem reports, test reproducibility steps, and procedures for internal team collaboration

• Hands on experience using laboratory electrical test equipment such as digital multimeters, oscilloscopes, and/or logic analyzers

• Demonstrated experience with root cause investigations

• Bachelor's degree in Computer Science, Computer Engineering, or equivalent experience

Preferred Criteria

• Experience working with robotics or other safety critical software

• Previous experience developing automated test cases through GitHub Actions, Jenkins, Travis CI, or other continuous integration infrastructure

• Demonstrated ability to author and exercise complex test procedures a hardware-in-the-loop (HITL) test environments

• Excellent documentation and collaboration skills

• Experience with DO-178C formal software test requirements

The position will be located at our facility in Mountain View, California. Must be willing to travel up to 10% of the time.

The estimated salary range for this position is $155,000 to $215,000/annual salary + cash and stock option awards + benefits. At Reliable Robotics, we strive to provide competitive and rewarding compensation based on experience and expertise, as well as market conditions, location, and pay equity.

In addition to base compensation, Reliable Robotics offers stock options, employee medical, 401k contribution, great co-workers, and a casual work environment.

This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws.

All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. * 1157, or (iv) asylee under 8 U.S.C. * 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis.

At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to

Compensation Range: $155K - $215K

Pyramid Systems is seeking an Cloud Logging Engineer (Splunk & AWS) who is responsible for ensuring the availability, performance, and security.

• Advise on cost efficiency for future usage and cost optimization for current infrastructure.
• Automate the management and enforcement of policies.
• Create and maintain documentation related to architecture and operational processes for CLS (Centralized Logging Solution).
• Develop a set of best practices and architecture patterns.
• Help maintain regulatory compliance of the CLS (Centralized Logging Solution) infrastructure.
• Help monitor and maintain CLS performance, availability, and capacity.
• Help maintain application container images.
• Offer solutions for ingestion of logs to Splunk via cloud native solutions.
• Maintain all infrastructure as code.
• Provide operations monitoring of CLS platform to enable proactive issue identification, response, and resolution.
• Recommend and execute improvements to the existing CLS architecture and design with growth and scalability in mind to optimize performance, stability, reliability, and agility.
• Responsible for reporting on current infrastructure status, and planning for future usage.
• Responsible for Beats agent deployments and container infrastructure analysis, optimization, and capacity planning.
• Maintain CI/CD pipelines for configuration deployments to applications.
• Support large-scale deployments with data feeds from multiple on premise and cloud data centers.
• Upgrade, install, configure monitoring solution for AWS for Windows and Linux servers.
• Utilize automation tool such as Terraform, Ansible, AWS Cloud Formation, Azure Resource Manager, or similar.
• Participate in a rotating on call schedule and weekly off hours maintenance.

• Splunk certification required***
• Candidate background eligibility requirements are United States citizen or be a Permanent Resident and have lived in the United States for at least 3 years, clean criminal background and able to obtain a Public Trust (High-Risk) Position.

• Bachelor's degree in computer science, electronics engineering or other engineering or technical discipline OR AWS/Azure Certification (AWS Professional / Specialty Cert. OR Azure Expert / Advanced Cert.) OR 4 years of relevant experience in one of the VAECOT suite of tools (Science Logic, Dynatrace, Turbot, AppDynamics)

• Minimum of three (3) years of experience in leading technical teams to achieve objectives and outcomes.

• Minimum of six (6) years setting up, configuring, and using AWS cloud operational tools to ensure service level agreements and performance targets are met, and continued compliance with policies, standards and guidelines.

• Minimum of three (3) years specific to monitoring Centralized Logging Solution (CLS)/Splunk

• Subject matter expertise with ALL VAEC Cloud Service Providers which currently includes Microsoft Azure and Amazon Web Services (AWS).

• Experience with programming with Splunk language (SPL) or equivalent (e.g., Python, Powershell, AWS or Azure CLI).

• One or more of these Splunk certifications: Splunk Core Certified Power User, Splunk Core Certified Advanced Power User, Splunk Enterprise Certified Admin, Splunk Enterprise Certified Architect, Splunk Enterprise Security Certified Admin, Splunk IT Service Intelligence Certified Admin.

• Knowledge of enterprise logging, with a focus on security event logging.

• Solid understanding of cloud concepts, either using Azure or AWS semantics.

• Experience in one or more of the VAECOT suite of tools, shown below:

VAEC Operational Tools (VAECOT)

Some experience in one or more of the following tools:

Third party tools

* Application Performance Monitoring: Dynatrace, AppDynamics

* Cloud Security: Nessus, NetSkope, Enterprise Security External Change Council, Identity and Assessment Management, Continuous Monitoring as a Service, McAfee, eMASS, Centrify

* Cloud Governance: Turbot

* DevOps/Configuration Management/Help Desk: Ansible, Service Desk, ScienceLogic, ServiceNow, SPLUNK, Jira ServiceDesk, Cloudockit, GitHub

* Containerization: Red Hat OpenShift

* Migration: CloudKey, Version One

* Reporting: Apptio

Cloud Service Provider (CSP) Operational Tools Tools/Services

* AWS Security: System Manager (Explorer and OpsCenter), CloudWatch, Config, CloudTrail, Elasticsearch (Kinesis DataStreams), GuardDuty, Inspector, Key Management Service (KMS), Security Hub, Directory Service, Identity and Access Management, Resource Access Manager, Cognito, Secrets Manager, Certificate Manager, Artifact

* Aws Monitoring and Logging: QuickSight, Eventbridge (AWS Kinesis DataStreams), Simple Notification Service (SMS), Elasticsearch (AWS Kinesis DataStreams), CloudTrail, CloudWatch

* Aws Networking: Virtual Private Cloud (VPC), Route S3, API Gateway, Direct Connect, AppStream 2.0, Transit Gateway, Elastic Loadbalancer, Firewall Manager, WAF & Shield

* AWS Storage: Cloud Tiering Services to S3 from On-Prem, Simple Storage Services (S3), S3 Glacier, Storage Gateway, Elastic File System (EFS), Backup

* Azure Security: Monitor (Log Analytics and ASC), Event Hubs, Security Center (ASC), Information Protection (AIP) , Key Vault, PowerBI, Network Watcher (Performance Monitor), Monitor (Log Analytics and ASC)

* Azure Monitoring and Logging: Information Protection (AIP), Advance Threat Protection, Security Center (ASC), Information Protection (AIP), Key Vault, Active Directory, Role Based Access Control (RBAC), Resource Manager (ARM), Resource Graph (ARG), Active Directory B2C, Key Vault, App Service, Service Trust Portal

* Azure Networking: Virtual Network, Traffic Manager, DNS, Application Gateway, Express Route, Web Apps, FrontDoor, VPN Gateway, Loadbalancer, Firewall

* Azure Storage: NetApp File Service, Storage (Blobs, Disks, Files, Queues, Tables), Storage Archive Access Tier, StorSimple, Files, Backup

Role - Contact center engineer - Five9

Location : Phoenix, AZ (Onsite)

JD:

8+ years of commercial software development experience

Design and implement scalable Caas and IVA solutions leveraging Google Cloud and Google CX

(Dialoglow CX), including conversational IVR design, NLU/NLP modeling, intent and flow orchestration, webhook integrations, speech-to-text/text-to-speech, and seamless integration with Five and enterprise systems.

* Architect secure, resilient cloud infrastructure on GCP using services such as GKE, Cloud Run, Cloud Functions, Pub/Sub, Apigee, and BigQuery, implementing IAM, VPC design, encryption, multi-region high availability, and Infrastructure as Code (Terraform) to support enterprise-grade customer experience platforms.

* Architect, implement, and optimize Five CRaas solutions, including ACD, skills-based routing, dialer, omnichannel capabilities, and campaign management, ensuring scalable, secure, and compliant contact center operations.

* Lead integrations and migrations leveraging Five APls and telephony capabilities, including CRM/CTI integrations, webhooks, SIP/WeRTC, security configuration (RAC, PCI/HIPAA), and transition from legacy contact center platforms to Five.

* Experience with Agile development, Continuous Integration, and Continuous Delivery, including working knowledge of various tools in the CI/D pipeline. DevOps and Observability.

* Experience with automated release management using GitHub Actions.

* Experience in Architecture design and modeling should possess strong skills in designing and modeling complex systems and architectures.

* Good understanding of data structures, algorithms, and design patterns

* Great written communication and documentation abilities

* Strong understanding of cloud security architecture and Encryption and OAth.

* Looks proactively beyond the obvious for continuous improvement opportunities.

* Leadership and communication: lead teams and collaborate with stakeholders, so strong leadership and communication skills are essential.

* Excellent communication skills, with the ability to influence at all levels across functions, from both technical and non-technical perspectives alike.

Job Summary:

Our client is seeking an SDET - Playwright to join their team! This position is located in Columbus, Ohio.

Duties:

• Design, implement, and test automation using Playwright (TypeScript/JavaScript)
• Build reusable testing libraries/utilities for authentication (OAuth2/JWT), pagination, idempotency, rate limiting, and error handling
• Define test strategy and coverage across unit, integration, contract, and end-to-end service tests
• Create robust negative, edge, and resilience tests use mocking where needed
• Manage test data and environments such as: seeding, fixtures and synthetic data
• Integrate tests into CI/CD (e.g., GitHub Actions, Azure Devops): parallel runs, environment provisioning, etc.

Desired Skills/Experience:

• 3+ years in SDET/QA Automation roles focused on Playwright tool
• Hands-on experience with Playwright using TypeScript/JavaScript or any similar tools/frameworks
• Understanding of ServiceNow is preferrable
• CI/CD experience: configuring pipelines, test reporting, and gating on failures/coverage
• Familiarity with mocking and test data management
• Solid debugging skills across logs, traces, and network traffic, comfortable with curl and CLI tooling

Benefits:

• Medical, Dental, & Vision Insurance Plans
• Employee-Owned Profit Sharing (ESOP)
• 401K offered

The approximate pay range for this position starting at $150,000 - $170,000. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

At KellyMitchell, our culture is world class. We’re movers and shakers! We don’t mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from KellyMitchell and its affiliates, 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 at

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

Looking for a 10+ years of experience in full stack software development, including front-end, back-end, and database technologies in Bothell, WA and its an onsite role.

• Bachelor’s degree in computer science, software engineering, or a related field preferred
• Proficiency in modern programming languages and frameworks such as Python, JavaScript, Java, Next JS, Node.js, React js
• Strong working experience with GenAI, LLM Models, MCP, Vector DB, RAG, Vertex AI, Agentic AI frameworks like NGA, ADK or LangChain/LangGraph, creating AI agents.
• Strong experience with Cloud platforms like GCP, Azure or AWS and cloud technologies like OpenStack, Terraform, Ansible or Chef
• Experience working with LLM observability, analytics, evaluations, testing and annotation using tools like LangSmith, LangFuse, Streamlit, Arize or similar tools.
• Strong experience working with AI/ML development
• Strong experience working with Databases like Cassandra, MongoDB or similar.
• Strong understanding and working experience of microservices architecture, RESTful APIs, Caching and related technologies
• Familiarity with containerization and orchestration tools such as Docker and Kubernetes
• Proficiency in version control systems like Git, and experience with CI/CD tools such as Jenkins, GitHub, Maven, Nexus, JFrog or Sonar
• Strong experience in Unit and Function testing using Junit, Mockito/JMock, Selenium, Robot, Cucumber, SoapUI or Postman
• Strong problem-solving, analytical, and debugging skills.
• Excellent written and verbal communication skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.
• Demonstrated experience in mentoring and providing technical leadership to other engineers.

• Nice to have skills:
• Google CCAI platform (DialogFlow), Vertex AI, Graph QL, BigQuery, Conversation Graph, LLM as Judge