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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.

We are seeking an experienced Flutter Mobile Engineer who is passionate about building high-quality, intuitive user experiences. This role sits at the intersection of design and engineering, working closely with UX/UI designers to transform product concepts into interactive mobile prototypes.

You will play a key role in building cross-platform mobile applications using Flutter, bringing design ideas to life and helping validate user experiences before they move into production development.

Responsibilities

• Develop high-fidelity mobile prototypes using Flutter for cross-platform applications.
• Translate design specifications from Figma into functional and visually polished mobile interfaces.
• Collaborate closely with UX/UI designers, product teams, and engineers to refine and iterate on product experiences.
• Implement animations, transitions, and interactive UI elements that enhance usability and engagement.
• Build prototype applications that support design validation, user research, and executive demonstrations.
• Participate in Agile development workflows, including daily stand-ups, sprint planning, and code reviews.
• Deliver clean, maintainable code and contribute to team collaboration through pull requests and feature builds.

Required Qualifications

• 5+ years of experience in mobile or cross-platform application development.
• 3+ years of hands-on Flutter development experience.
• Strong proficiency with Dart and Flutter UI development.
• Experience working with Android Studio and Xcode.
• Proven experience collaborating with UX/UI designers and implementing designs from Figma, Sketch, or similar design tools.
• Strong attention to detail with a passion for high-quality user interface development.
• Experience implementing animations, transitions, and interactive UI behaviors.
• Excellent communication skills and the ability to present technical work to cross-functional teams.
• Self-starter with strong organizational skills and the ability to work both independently and collaboratively.

**Application Instructions**

Please include links to your portfolio, GitHub, or mobile applications that demonstrate your work—especially examples that showcase UI interactions, animations, or Flutter-based projects.

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

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.

Senior Business Analyst Life & Annuities

Onsite in WDM office 4 days a week

Contract

Overview:

We are seeking an experienced Senior Business Systems Analyst (AI Enablement) to support ***’s AI transformation initiatives. This role will partner with ***’s BSA team, IT leadership, and PMO to understand current SDLC processes, identify pain points, gaps, and inconsistencies across teams, and translate findings into a more streamlined, AI-enabled operating model.

The BSA will assess our current requirements elicitation process and help define how an AI-infused approach can significantly improve the thoroughness, completeness, and quality of user requirements specifically for consumption by an AI coding agent. This includes identifying cross-system dependencies, non-functional requirements, and user personas from initial requirement elicitation through Jira story creation. This role will help transform our BSA capabilities by leveraging custom-built AI solutions to accelerate cycle time, improve consistency, and reduce downstream rework.

This role will also define measurable success criteria and develop metrics to evaluate process improvements and AI impact across the SDLC: gathering requirements across several other SDLC-related AI initiatives and provide light project management support across multiple AI workstreams.

Key Responsibilities

Assess current BA workflows, documentation standards, and impact analysis processes from user requirement elicitation through Jira story creation, identifying gaps, redundancies, inconsistencies and improvements across teams.

Identify friction points and define AI-enabled use cases with measurable business outcomes.

Drive feedback loops for AI proofs of concept (POCs) delivered to teams by gathering structured user input, measuring adoption and effectiveness, and incorporating insights into iterative improvements.

Develop clear, actionable requirements including user stories, acceptance criteria, non-functional requirements, personas, and upstream/downstream system impacts.

Determine and help establish processes or patterns to ensure user requirements align with current system capabilities. Proactively identify cross-system dependencies, technical constraints, gaps, and system limitations in collaboration with engineering teams to ensure requirements are technically feasible and implementation-ready.

Support backlog grooming, sprint planning, demos, and pilot validation sessions.

Track progress across multiple AI initiatives, manage dependencies and risks, and maintain clear stakeholder communication.

Develop and maintain lightweight project plans, timelines, and status reporting to ensure AI initiatives remain aligned with business priorities and strategic objectives.

Required Qualifications

5+ years of Business Analysis or Business Systems Analysis experience in technology or software environments.

Strong requirements elicitation, documentation, and facilitation skills.

Experience working in Agile environments with cross-functional teams.

Practical familiarity with AI tools (e.g., Claude Code CLI, ChatGPT, Copilot) and understanding of AI concepts (LLMs, prompt engineering, AI governance, and AI risk considerations).

Strong systems thinking, structured communication, and stakeholder management skills.

Preferred Experience

Experience implementing AI or automation solutions within enterprise environments.

Familiarity with AWS AI services (e.g., AWS Bedrock) or other enterprise AI platforms.

Familiarity with Jira, Confluence, GitHub, or similar SDLC ecosystems.

Experience supporting PMO processes or managing multiple concurrent initiatives along with a functional understanding of Agile practices.

Financial services or insurance industry experience.

Success Measures

Successful delivery of an AI-enabled solution for ***’s BSA team.

Improved BA workflow efficiency, quality, and consistency.

High-quality, implementation-ready requirements that reduce downstream rework and delivery thrash.

Effective coordination, transparency, and measurable progress across AI initiatives.

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