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Position: Infra Maintenance- VMWare Consultant

Location: San Jose, CA (Hybrid)

Employment: Contract

Required Skills:

• Strong hands-on experience in deployment and troubleshooting of VMware vSphere (must-have).
• Practical experience managing ESXi hosts, clusters, storage, and virtual networking.
• Working knowledge of Kubernetes concepts (nodes, pods, services, namespaces, ingress, storage, RBAC).
• Experience installing and operating Kubernetes clusters on bare metal or virtualized environments.
• Experience with Canonical MAAS for bare-metal provisioning, commissioning, and deployment workflows.
• Hands-on experience with Cisco switch configuration (CLI-based).
• Solid understanding of L2/L3 networking concepts:
• VLANs, trunking, STP
• Static routing, basic dynamic routing concepts
• Subnetting, routing tables, ACLs, NAT basics
• Strong experience with Linux administration (Ubuntu/CentOS/RHEL or similar).
• Hands-on experience with Terraform and/or Ansible
• Familiarity with CI/CD pipelines and tools (e.g., Jenkins, GitLab CI, GitHub Actions, Azure DevOps) for automated infra and application deployments.
• Understanding of version control (Git) and standard branching/PR workflows.

We are seeking a Senior Robotic Simulation Engineer with deep, hands-on expertise in building high-fidelity simulation environments and synthetic data pipelines using NVIDIA Isaac Sim or similar.

In this role, you will directly contribute to the development of scalable, realistic virtual worlds that power the training and validation of robotic foundation models for perception, planning, and manipulation.

At GM’s manufacturing technology development team, you’ll work closely with robotics and AI teams within the Manufacturing Technology Development (MTD) team to create simulation scenes that replicate complex manufacturing environments, generate diverse synthetic datasets, and build robust data workflows that accelerate model development and deployment.

Key Responsibilities • Build and customize simulation scenes in Isaac Sim that accurately reflect real-world robotic tasks and factory layouts • Develop synthetic data generation pipelines, including randomized object placement, sensor simulation, and multi-modal annotations (RGB, depth, segmentation, point clouds) • Implement and maintain data processing workflows, ensuring data quality, traceability, and compatibility with ML training pipelines • Optimize simulation performance and realism, tuning physics parameters, asset fidelity, and rendering configurations for scalable experimentation • Collaborate with robotics engineers and ML scientists to align simulation outputs with model requirements and support sim2real transfer • Conduct hands-on testing and debugging, iterating on simulation setups and synthetic data strategies to improve model robustness • Document workflows and contribute to best practices, enabling reproducibility and knowledge sharing across teams Required Qualifications • MSc or PhD in Robotics, Computer Graphics, Computer Vision, or related field • 3+ years of hands-on experience in robotics simulation, synthetic data generation, or virtual environment development • Proficiency with Isaac Sim, Omniverse, or similar simulation platforms • Strong programming skills in Python and C++, with experience in simulation APIs and data annotation tools • Familiarity with 3D vision, sensor modeling, and domain randomization techniques • Experience integrating simulation outputs into ML pipelines for training and evaluation Preferred Qualifications • Experience with robotics frameworks (e.g., ROS/ROS2, MoveIt, Nav2) • Experience with robotics simulation platforms (e.g., IsaacSim, MoJoCo, Gazebo) or Game engine (e.g., Unreal, Unity) • Background in industrial automation, autonomous vehicles, or robotic manipulation • Publications or contributions in simulation, synthetic data, or robotics venues (e.g.

ICRA, RSS, CVPR) • Familiarity with CI/CD pipelines and modern software development practices such as Bash, Github, Bazel, Docker

Hi,

I Hope all is well with you. This is Bharath from Grove Technical Resources. Currently we are hiring for a Software Project Engineer with in the medical Devices.

Please go through the JD and let me know if you are interested.

Job Title: Sr Software Engineer/ Technical SW Project Manager – Medical Device

Job Location: Minneapolis, Minnesota (Fully onsite)

Type: W2 contract

Job Start Date - 5/4/26

Job End Date - 12/31/26

Job Description:

The Pelvic Health R&D team is one of the most cutting edge groups, Defining and executing on technology and architectural strategy using skills that span a variety of domains including Mobile Apps (Android), cloud, data analytics, web services, 2d/3d visualization, machine learning, and interfacing with embedded software for management and control of interconnected medical devices.

As a Senior Software Engineer (Project Engineer – Mobile), you will lead execution for a defined mobile software release pipeline, working with motivated, diverse, and knowledgeable development teams. You will collaborate with Product Engineering, Development, and Test Leads to translate requirements into actionable plans, create structured backlogs, and drive high-quality delivery. This role requires a mix of technical expertise, project execution, and leadership to deliver reliable, impactful mobile software that improves the quality of life of people around the world.

Technical skills Must have:

• 2 years of experience writing Software , Java , Python , C
• Agile Metrics
• Agile Product Owner
• agile sprint
• Android
• Mobile Software Development
• Project Planning
• Software Project Management
• Technical Leadership
• technical software project management

Nice To Have:

• DevOps tools like GitHub
• GitLab
• Kotlin
• Kotlin Multiplatform (KMM)
• PTC Codebeamer
• Must Have: Minimum Requirements
• Bachelor’s degree in Software Engineering, Computer Science or equivalent with 8 to 10 years of managing delivery of advanced applications for mobile platform.
• Hands-on experience in mobile software development
• Android development experience (Kotlin or Java); familiarity with Kotlin Multiplatform (KMM) is a plus
• Understanding of mobile testing strategies and quality practices
• Experience working in Agile/Sprint-based development environments
• Ability to work at both technical detail and release-level view
• Experience creating and managing backlogs, tracking execution, and driving delivery
• Strong communication skills and ability to collaborate effectively across teams
• Strong attention to detail and an ability to deal with ambiguity

Nice to Have:

• Good understanding of Continuous Integration environments (Jenkins, Bamboo, ElectricCloud)
• Experience with iOS platforms.
• Experience with configuration management tools and best practices (GIT, SVN, etc.).
• Ability to think strategically and execute methodically.
• Excellent written and oral communication skills.
• Ability to multitask and prioritize while managing multiple projects and day to day responsibilities
• Ability to influence cross-functional teams without formal authority.

A Day in the Life:

• Own end-to-end delivery of an assigned mobile software release
• Translate product features and requirements into structured, execution-ready backlogs and user stories
• Lead backlog refinement, sprint planning, and overall release planning
• Approve and accept completed work in the ALM system using technical and quality judgment
• Apply technical judgment to evaluate approaches, challenge assumptions, and ensure architectural alignment and quality
• Partner with Product Engineering, Development, and Test Leads to ensure scope clarity, accurate task breakdown, and alignment with product intent
• Support prioritization discussions and maintain alignment with product strategy and system dependencies
• Identify risks and dependencies and drive mitigation plans
• Track delivery metrics and drive execution discipline across development and test teams
• Collaborate with stakeholders and communicate status, risks, and dependencies to leadership
• Ensure compliance with quality systems and software lifecycle processes
• Support regulatory deliverables in collaboration with engineering and test leads

Promote engineering best practices and continuous improvement

Infosys is seeking Java AEM Developer. This position will interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle including Requirements Elicitation, Application Architecture definition and Design; play an important role in creating the high level design artifacts; deliver high quality code deliverables for a module, lead validation for all types of testing and support activities related to implementation, transition and warranty; be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.

Required Qualifications:

• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• Candidate must be located within commuting distance of Boston, MA or Princeton, NJ or willing to relocate to the area. This position may require travel to project locations.
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.
• At least 4 years of Information Technology experience
• 4 years of hands-on development experience in Adobe Experience Manager and Java.
• Strong experience with AEM as a Cloud Service and AEM On-Prem.
• In-depth knowledge of Sling, OSGi, JCR, Dispatcher, HTL, and AEM core architecture.
• Strong proficiency in Java, J2EE, Servlets, Spring (optional), and REST APIs.

Preferred Qualifications:

• Experience with unit testing frameworks like JUnit, Mockito, etc.
• Strong understanding of HTML5, CSS3, JavaScript, jQuery, and modern JS frameworks eg react JS.
• Design and develop complex components, templates, dialogs, and workflows within AEM.
• Build scalable, reusable, and maintainable AEM solutions aligned with enterprise architecture.
• Implement AEM as a Cloud Service features, including Sling models, Content Fragments, Experience Fragments, and Core Components.
• Upgrade, migrate, and optimize AEM On-Premises instances to AEM Cloud.
• Experience with CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps, etc.).
• Knowledge of cloud platforms: Adobe Cloud Manager, AWS/Azure/GCP (added advantage).
• Excellent problem-solving skills and performance debugging.
• Strong communication, documentation, and client-facing skills.
• Experience in Agile/Scrum environments.

Estimated annual compensation range for this role will be as follows:

In NJ/ MA: Min $76071 to Max $98893; Min $78903 to Max $102574

The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.

EEO/About Us :

Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

About the Role

We are seeking a Backend Engineer to help build and maintain the backend services and API’s that power our proprietary AI SaaS CRM and LMS platforms.

You will work directly with our CTO, collaborate with the engineering team, and partner closely with our Product Manager to design, implement, and maintain scalable backend systems.

Our backend services are built primarily with:

• NestJS (TypeScript)
• Python
• Deployed across multiple AWS environments

This is a hands-on backend engineering role focused on API development, cloud deployment, distributed systems, and production-grade reliability.The role has meaningful ownership - not just ticket execution.

What You’ll Do

• Work directly with the CTO on backend design and implementation decisions
• Partner closely with a Product Manager on sprint planning, backlog grooming, translating product requirements into technical solutions, and prioritizing customer-impacting improvements
• Design, build, and maintain backend API services using NestJS (TypeScript)
• Build and support backend services in Python
• Develop and maintain production-grade RESTful APIs
• Contribute to multi-environment deployments across AWS
• Use Terraform to manage our IAC
• Work with CI/CD workflows and structured deployment procedures
• Follow and contribute to engineering documentation including development guidelines, environment configuration standards, security practices, and versioning and changelog management
• Implement and support asynchronous and event-driven systems
• Write clean, maintainable, well-tested code
• Participate in code reviews and maintain high engineering standards
• Debug and resolve production issues across distributed cloud environments

What We’re Looking For (Required)

• 5+ years of backend engineering experience
• Strong proficiency in TypeScript and experience with NestJS
• Strong proficiency in Python
• Experience designing and implementing RESTful APIs
• Experience deploying and maintaining applications in AWS
• Familiarity with multi-environment deployments (dev, staging,UAT, production)
• Experience working with CI/CD pipelines
• Experience with relational databases (PostgreSQL)
• Familiarity with Docker or containerized workflows
• Experience working in GitHub-based workflows in a collaborative environment (pull requests, code reviews, branching strategies, and issue tracking)
• Comfortable working in an agile environment with JIRA and Monday
• Strong communication and problem-solving skills
• Experience building SaaS or multi-tenant platforms

Nice to Have / Strong Plus

• Familiarity with C# & C++
• Experience with Dentrix, OpenDental, or other dental integration PMS’s
• Experience building a greenfield SaaS or B2B software
• Experience with building on a Healthcare platform
• Familiarity with AI-enabled products or LLM integrations
• Experience with Redis or caching strategies
• Experience integrating third-party APIs

Why This Role Is Different

• Direct collaboration with the CTO on backend system design
• Close partnership with Product Management
• Opportunity to help shape a modern, AI SaaS platform for the healthcare industry

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.

HCLTech is looking for a highly talented and self- motivated Senior Engineer — Salesforce Service Cloud (core) to join it in advancing the technological world through innovation and creativity.

Job Title: Senior Engineer — Salesforce Service Cloud (Core)

Job ID: 86068

Position Type: Full Time

Location: Onsite

Location: Seattle

Type: Full-time/Contract

Role Summary

Build high-quality SFSC features across case management, omni-channel routing, digital messaging, entitlements, and knowledge. Balance declarative-first with Apex where needed, ensuring secure, scalable solutions

Key Responsibilities

• Deliver features using Flows, Lightning Web Components (LWCs), Apex (triggers/classes), and configuration.
• Implement Case lifecycle, Omni‑Channel, Digital Engagement (Chat/WhatsApp/Messaging), Macros, SLAs, Milestones.
• Configure Knowledge (data categories, article types) and search relevance.
• Build LWCs with strong UX patterns and test coverage (Jest for LWC, Apex tests).
• Performance tuning (SOQL, bulkification), security (CRUD/FLS), and package/release readiness.
• Peer reviews, design docs, and contribution to standards.

Required Skills

• 6–9+ years overall; 4+ years Salesforce core dev; 2+ years Service Cloud.
• Strong Apex, LWC, Flows; Omni‑Channel and Digital Engagement hands-on.
• Data model, sharing/security, and test automation for Apex/LWC.

Preferred / Nice to Have

• Knowledge setup, Einstein for Service features, Email‑to‑Case optimizations.
• CI/CD with Gearset/Copado/GitHub Actions; static code analysis (PMD/Sonar).
• Certifications: Platform Developer I/II, Service Cloud Consultant, JavaScript Developer I.

Interview Focus

Declarative vs code trade-offs, LWC depth, Apex patterns, platform limits, and real-world SFSC scenarios.

Pay and Benefits

Pay Range Minimum: $77000 per year

Pay Range Maximum: $188000 per year

HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to for investigation.

A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year

How You’ll Grow

At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your

brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

• Architect, build, and maintain a robust application management and loan repayment platform, ensuring scalability, performance, and maintainability across front-end and back-end systems
• Leverage full-stack engineering skills to contribute alongside team and build a polished & accessible end-user experience that tens of thousands of students and program administrators love, and develop best of breed API on reliable infrastructure for our partners to leverage
• Set best practices for code quality, system design, and security while mentoring engineers and conducting code reviews
• Oversee 2-3 engineers' day-to-day operations with the support of the Director of Engineering
• Work with cross-functional stakeholders to define and prioritize work, break down large initiatives into achievable milestones, and balance technical debt with new feature development
• Spec out stories with the engineering team and product leadership, and lead the team in continually reflecting on how to better deliver value and operate as a team
• Foster a strong engineering culture through collaboration, knowledge sharing, and continuous improvement.
• Participate in future on-call rotations and ensure by building self-healing and resilient systems and leveraging infrastructure as code and monitoring tools that our systems are highly available

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or equivalent bootcamp or upskilling program experience
• Hands-on experience managing CI/CD pipelines (GitHub Actions, Jenkins, CircleCI, or similar) and ownership of deployment strategies, release management, and production monitoring
• Experience working closely with Product teams to define technical requirements and Compliance teams to ensure regulatory adherence in financial services or similarly regulated environments.
• Ability to clearly articulate technical trade-offs, align stakeholders, and make informed decisions under ambiguity.
• 4+ years working in a SaaS startup regularly building and owning the complete E2E technology stack for Web Application (Frontend + Backend + Cloud + CI/CD)
• Deep experience with a combination of the following technologies:
• Javascript & TypeScript (React, NextJS, Recoil (other state management libraries)), Python (Django, Flask, FastAPI, etc.), HTML, CSS
• Databases: SQL (we use PostgreSQL)
• Cloud: AWS or Google Cloud experience
• Design: We use Figma; understanding of responsive design
• DevOps: Experience with CI/CD and modern cloud and container tooling

• Modern tech stack with the ability to have impact to many different user personas - recruiters, students and more
• High autonomy working in a highly collaborative team
• Can grow into a more formal people management role - expectation though is to be very hands on
• Step into being a 10x engineer and ride the AI wave with a team doubling down on how this technology allows us to focus on harder problems and solve for our customer's needs without compromising on quality

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.

Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry.

The team's work encompasses the entire lifecycle of software artifacts, from inception to archival. Work and Code Management systems - Jira serves as the single source of truth for all work items, features, and defects. This planning layer is integrated with GitHub, which manages the source code and version control, to establish a clear, auditable trail from requirement to code.

In this role, you'll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product management:

• Human Centered - Obsesses about internal and external customer needs to reimagine and innovate product solutions

• Business Focused - Delivers game-changing outcomes by focusing on leverage and execution excellence

• Technology Driven - Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value

• Integrated Problem Solving - Identifies and resolves complex problems to deliver outcomes while mitigating product risks

• Transformational Leadership - Leads cross functional teams to solve customer problems and drive organizational alignment

• At least 3 years of experience working in Product Management

• Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:

  • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field)

  • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration

• Experience translating business strategy and analysis into consumer facing digital products

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $164,800 - $188,100 for Manager, Product Management

New York, NY: $179,700 - $205,100 for Manager, Product Management

Plano, TX: $149,800 - $171,000 for Manager, Product Management

Richmond, VA: $149,800 - $171,000 for Manager, Product Management

San Francisco, CA: $179,700 - $205,100 for Manager, Product Management

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-8 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to .

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).