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The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S., supporting over 23,000 healthcare professionals and team members at more than 1,150 locations across 48 states. Our five supported healthcare practices operate under the brands Aspen Dental, ClearChoice, WellNow, Chapter Aesthetic Studio, and Lovet. We’re committed to enabling healthcare professionals to focus on patient care while we handle the business operations that support them.

As part of our continued investment in data and AI-driven innovation, we are expanding our machine learning capabilities across predictive analytics, optimization, and intelligent decision systems — while gradually incorporating modern Generative AI technologies where they create measurable business value.

We are seeking an Applied Machine Learning Engineer to design, build, and deploy production-grade machine learning systems across the healthcare enterprise.

This is a hands-on engineering role focused primarily on predictive modeling, optimization systems, decision engines, and scalable ML infrastructure. The ideal candidate combines strong modeling expertise with production engineering and MLOps experience.

In addition to traditional ML, this role will have opportunities to explore and implement Generative AI and LLM-powered capabilities as part of TAG’s evolving AI roadmap.

This role works in close partnership with Enterprise IT and Platform Engineering to ensure production-grade reliability and scalability.

Essential Responsibilities

Machine Learning Development & Modeling (Primary Focus)

• Design, develop, and deploy predictive models and ML algorithms to address business challenges such as: Schedule Optimization, Propensity Segmentation, Demand Forecasting, and Pricing
• Conduct experimentation, feature engineering, and hyperparameter tuning to improve model performance in collaboration with data scientists
• Implement advanced modeling techniques including tree-based methods, deep learning, and optimization algorithms.
• Translate business requirements into scalable ML solutions in partnership with cross-functional stakeholders.
• Take ownership of model performance from experimentation through production monitoring.

MLOps & Production Engineering (Core Expectation)

• Build scalable, secure, production-grade ML pipelines using modern cloud-native technologies.
• Contribute to implementing distributed training workflows, batch and real-time inference systems, and low latency serving architectures
• Deploy models via APIs and integrate with enterprise applications.
• Leverage Google Cloud Platform (GCP), including Vertex AI, BigQuery, Kubernetes, Cloud Run, Dataflow, and Pub/Sub.
• Implement CI/CD workflows for ML lifecycle management within defined architecture
• Ensure reproducibility, versioning, and governance of models and features.

Monitoring, Reliability & System Optimization

• Define and track key performance metrics for deployed models.
• Implement monitoring frameworks (e.g., Vertex AI Model Monitoring, logging, drift detection).
• Analyze model behavior in production and proactively improve reliability and performance.
• Collaborate with platform and infrastructure teams to ensure models meet scalability and compliance requirements.

Emerging AI Capabilities (Growth Area)

• Contribute to the development of LLM-powered solutions where appropriate (e.g., knowledge retrieval, decision-support copilots).
• Support implementation of Retrieval-Augmented Generation (RAG) pipelines using BigQuery and Vertex AI.
• Assist in experimentation with agent-based workflows and modern orchestration frameworks as part of TAG’s evolving AI initiatives.
• Stay current with advancements in Generative AI and evaluate their practical application to enterprise healthcare use cases.

Collaboration & Mentorship

• Work cross-functionally with Product, Platform, Data and Software Engineering teams
• Create clear documentation for models, pipelines, and systems.
• Promote engineering best practices across data science and analytics teams.
• Contribute to continuous improvement of TAG’s ML platform capabilities.

Qualifications

Required

• Bachelor’s degree in computer science, data science, engineering, or related technical field with 3-5 years of experience in machine learning engineering, data science, or related technical role.
• Strong proficiency in Python and ML frameworks (Scikit-learn, TensorFlow, PyTorch, etc.).
• Experience building and deploying production-grade ML systems at scale.
• Strong hands-on experience with: Google Cloud Platform (GCP), Vertex AI (training, pipelines, deployment, monitoring), BigQuery and data warehousing
• Experience with distributed systems, model deployment, and API development.
• Solid understanding of software engineering principles and system design.

Preferred

• Experience with optimization algorithms or decision-support systems.
• Familiarity with MLOps tooling (Airflow, MLflow, Kubeflow, etc.).
• Exposure to Generative AI, LLM-based systems, or RAG architecture.
• Familiarity with Kubernetes, Cloud Run, Dataflow, Pub/Sub.
• Experience in healthcare or regulated environments.
• Familiarity with responsible AI and governance best practices.

*This role is onsite 4 days/week in our Chicago office (Fulton Market District)

• A generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match

Compensation

$170k-$225k

0.17%-1.04%

TLDR

We are growing fast, profitable, and need to hire a Founding Back End Engineer ASAP. This role is focused on selling Neon’s automation platform to healthcare and life sciences organizations, owning the full sales cycle from prospecting through close. Ideal candidates have enterprise SaaS sales experience, thrive in high-growth environments, and are motivated to build a category-defining company. You should have at least 4 years of experience.

Our Market

The crisis: Sarah delayed cancer treatment for weeks facing massive monthly costs. Marcus's autoimmune condition worsened while battling insurance denials.

Over 50% of critical prescriptions are abandoned due to:

• Cost barriers: Patients with high copays are 5x more likely to abandon treatment
• Insurance maze: Complex prior authorizations block access
• Logistical challenges: Coordinating medical visits for treatments

Neon's technology eliminates these obstacles by automating patient access workflows for pharma companies: —automating authorizations, streamlining benefits verification, and unlocking financial assistance.

Why Join?

• Frighteningly ambitious: We’re seasoned builders on a mission to create a $200B+ company—on the scale of Palantir or ServiceNow—serving the largest healthcare enterprises.
• Experienced founding team: Built by exited founders, YC & MIT alum, ex-Tesla, ex-Google engineers.
• Hypergrowth with stability: We went from initial idea to 7+ figure customer contracts in just 4 months—in an industry where sales cycles typically take 12-18 months. We are profitable and relentlessly focused on execution.
• Powerhouse backing: We’re funded by elite Silicon Valley VCs who've backed unicorns like DoorDash, Lyft, and Mammoth Biosciences. And strategic healthcare investors with deep industry connections.
• Outsized impact & opportunity: Work at the intersection of agentic AI, healthcare transformation, and life-changing patient outcomes.

Required Skills

Technical skills:

• Proficiency with Node, Typescript, and Python.
• Good understanding of system design concepts - distributed systems, reliability/performance tradeoffs
• Experience in API design, implementation, and documentation
• Experience using AI coding tools (Cursor, Github Copilot, Claude, etc)
• Experience working with CI/CD systems and good DevOps skills a nice to have
• Excellent documentation and testing habits
• Proficiency with version control (Git)

Soft skills:

• 10x mindset - you’ll be among the first engineering hires!
• You are a fun human!
• Good time management and planning skills

Experience

4-7 years of experience (or equivalent) as a software engineer.

We’re leveling this role to Pave’s “P4” level: Leads project teams, provides direction, and keeps stakeholders informed. Determines key milestones and provides updates and check-ins to relevant teams and partners.

• You are able to work with the rest of the team to:
• 
  
• Define priorities
• Suggest good solutions
• Excel at implementation
• You pick up concepts quickly, pattern match on past problems.
• You are obsessed with speed and quality, and help embed that quality into the rest of the team.
• You are self-directed, and do not need help organizing / prioritizing your time.

Specific project experience

• Nice if you have worked on distributed architectures in the past, but not a strict requirement.
• You must have experience working on projects touching many parts of a large codebase.

Compensation

$170k-$225k

0.17%-1.04%

TLDR

We are growing fast, profitable, and need to hire a Founding Back End Engineer ASAP. This role is focused on selling Neon’s automation platform to healthcare and life sciences organizations, owning the full sales cycle from prospecting through close. Ideal candidates have enterprise SaaS sales experience, thrive in high-growth environments, and are motivated to build a category-defining company. You should have at least 4 years of experience.

Our Market

The crisis: Sarah delayed cancer treatment for weeks facing massive monthly costs. Marcus's autoimmune condition worsened while battling insurance denials.

Over 50% of critical prescriptions are abandoned due to:

• Cost barriers: Patients with high copays are 5x more likely to abandon treatment
• Insurance maze: Complex prior authorizations block access
• Logistical challenges: Coordinating medical visits for treatments

Neon's technology eliminates these obstacles by automating patient access workflows for pharma companies: —automating authorizations, streamlining benefits verification, and unlocking financial assistance.

Why Join?

• Frighteningly ambitious: We’re seasoned builders on a mission to create a $200B+ company—on the scale of Palantir or ServiceNow—serving the largest healthcare enterprises.
• Experienced founding team: Built by exited founders, YC & MIT alum, ex-Tesla, ex-Google engineers.
• Hypergrowth with stability: We went from initial idea to 7+ figure customer contracts in just 4 months—in an industry where sales cycles typically take 12-18 months. We are profitable and relentlessly focused on execution.
• Powerhouse backing: We’re funded by elite Silicon Valley VCs who've backed unicorns like DoorDash, Lyft, and Mammoth Biosciences. And strategic healthcare investors with deep industry connections.
• Outsized impact & opportunity: Work at the intersection of agentic AI, healthcare transformation, and life-changing patient outcomes.

Required Skills

Technical skills:

• Proficiency with Node, Typescript, and Python.
• Good understanding of system design concepts - distributed systems, reliability/performance tradeoffs
• Experience in API design, implementation, and documentation
• Experience using AI coding tools (Cursor, Github Copilot, Claude, etc)
• Experience working with CI/CD systems and good DevOps skills a nice to have
• Excellent documentation and testing habits
• Proficiency with version control (Git)

Soft skills:

• 10x mindset - you’ll be among the first engineering hires!
• You are a fun human!
• Good time management and planning skills

Experience

4-7 years of experience (or equivalent) as a software engineer.

We’re leveling this role to Pave’s “P4” level: Leads project teams, provides direction, and keeps stakeholders informed. Determines key milestones and provides updates and check-ins to relevant teams and partners.

• You are able to work with the rest of the team to:
• 
  
• Define priorities
• Suggest good solutions
• Excel at implementation
• You pick up concepts quickly, pattern match on past problems.
• You are obsessed with speed and quality, and help embed that quality into the rest of the team.
• You are self-directed, and do not need help organizing / prioritizing your time.

Specific project experience

• Nice if you have worked on distributed architectures in the past, but not a strict requirement.
• You must have experience working on projects touching many parts of a large codebase.

**This role is onsite in Scottsdale, AZ**

The Operations and Sales Analyst (OSA) plays a critical role in driving business efficiency and revenue performance by transforming data into actionable insights. This role partners cross-functionally across Sales, Marketing, Clinical Services, Laboratory Operations, Pathology Operations, Procurement, and Finance to forecast performance, analyze trends, and support strategic and operational decision-making.

The OSA is responsible for the end-to-end management of data content, collection, validation, visualization, forecasting, and reporting. This includes developing dashboards and analytical tools that support leadership decision-making, ensuring data integrity, and translating insights into clear, practical recommendations that improve workflows, scalability and sustainable growth.

What you’ll be doing…

Data Analysis & Reporting:

• Collect, analyze, and interpret commercial and operational data using appropriate analytical and statistical techniques.
• Identify trends, risks, and opportunities; define and monitor key performance indicators (KPIs) to measure performance
• Develop and maintain interactive dashboards, reports, and visualizations to support recurring and ad hoc business decisions across operations.
• Translate complex datasets into clear, actionable insights for executive and cross-functional stakeholders.
• Present findings and recommendations to leadership teams.

Systems & Data Integrity Support:

• Partner with IT and other cross-functional stakeholders to recommend and support system, process and reporting enhancements
• Conduct data validation and peer reviews to ensure accuracy, completeness, and consistency across all analytics outputs

Forecasting & Strategy Support

• Collaborate with leadership to develop sales forecasts and procurement forecasts
• Support sales compensation planning and broader commercial and operational strategic planning initiatives
• Provide data-driven recommendations to sales, marketing, clinical services, and operations leadership

Cross-Functional Collaboration:

• Partner with Sales, Marketing, Clinical Services, Finance, Operations, Quality, Procurement, and process engineering teams
• Translate business questions into structured analytical plans and convert insights into operational execution

Technology & Tools:

• Collaborate with IT and other stakeholders to evaluate, implement, and optimize commercial and operations technology stack and analytics workflows in support of business goals

Performance Monitoring:

• Track and analyze operational KPIs to assess performance and evaluate the effectiveness of implemented initiatives
• Track and monitor marketing-generated leads, qualified leads, and attribution to evaluate campaign effectiveness

What you’ll need…

Knowledge & Skills & Experience

Required:

• 5-7 years of experience in data analysis, business intelligence, lab operations analytics, sales operations, commercial analytics or a similar role
• Proficiency with analytical and reporting tools such as Tableau, One Model, advanced Excel (pivot tables, macros), SQL, SQL Server Management Studio (SSMS), R, Python, or similar platforms.
• Experience defining, structuring, and documenting data for diverse audiences
• Ability to translate business needs into meaningful, actionable data solutions

Preferred:

• Familiarity with core business functions and workflows, including customer lifecycle, laboratory processes, and go-to-market operations
• Strong analytical, problem-solving, critical thinking, and statistical modeling skills
• Excellent communication, presentation, and stakeholder management abilities
• Demonstrates adaptability, welcomes feedback, and remains comfortable working in an environment that requires rapid iteration.
• Collaborative mindset with the ability to work effectively across cross-functional teams
• Proven ability to manage multiple priorities in a fast-paced environment
• High attention to detail, strong organizational skills, and comfort working in a regulated and evolving environment
• Demonstrated commitment to confidentiality and responsible data stewardship
• Experience working with CRM systems (Salesforce or similar)

Education, Certifications, and Licensures

Bachelor’s degree in Business Analytics, Statistics, Mathematics, or a related field

Other:

• Ability to use standard office equipment, including copiers, scanners and PDF tools.
• Ability to sit or stand for extended periods.
• Ability to perform repetitive motions.
• Ability to lift up to 25 pounds.
• This job will be expected to work onsite at CND's Scottsdale, AZ headquarters 4-5 days/week.

Grow Your Career With Us

CND Life Sciences is a patient and employee-centric, future-focused organization. We know there is a patient hoping for answers behind every Syn-One test we perform, and this knowledge drives us day in and day out to be our best. We are dedicated, driven, and passionate with a strong sense of community and team spirit.

CND offers plenty of advancement opportunities and excellent benefits to include medical, dental and vision, STD, LTD, Life, AD&D, and 401K with an employer match and encourages a positive work life balance.

Our Mission

Since our founding, CND Life Sciences has been on a mission to advance the care of patients who face the potential diagnosis of a neurodegenerative disease. With long careers in research and clinical care, our founders set out to unlock deeper stories within the skin by detecting key pathological markers in the peripheral nervous system that had been previously out of reach.

Our Core Values

CND maintains core values that guide our work and mission every day.

Great science. It’s the foundation of everything we do.

Patients first. There is a patient hoping for answers behind every test we perform – we never forget that.

Clinician-minded. We are founded by physicians and dedicated to helping clinicians care for patients – we embrace this responsibility.

Quality core. We adhere to high laboratory standards and quality practices – it’s the only way to operate.

Always thinking. We are relentless in determining how we can innovate and do better – it’s just in our DNA.

Respect. We hold our employees, customers, partners, and suppliers in high regard – we succeed when we are aligned.

CND Life Sciences is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected status.

About Us:

Astiva Health, Inc., located in Orange, CA is a premier health plan provider specializing in Medicare and HMO services. With a focus on delivering comprehensive care tailored to the needs of our diverse community, we prioritize accessibility, affordability, and quality in all aspects of our services. Join us in our mission to transform healthcare delivery and make a meaningful difference in the lives of our members.

SUMMARY:

We are seeking a skilled and adaptable AI/ML Engineer to join our fast-moving team building impactful AI solutions in healthcare. Our work focuses on extracting and interpreting data from unstructured medical documents, improving clinical coding accuracy, streamlining administrative processes, and enhancing patient outreach.

Projects will evolve rapidly, from fine-tuning large language models (LLMs) on specialized medical PDFs, to optimizing OCR pipelines in Azure, and new challenges emerge regularly. This role suits someone who thrives in ambiguity, enjoys hands-on model development, and wants to directly influence healthcare delivery through applied AI/ML.

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following:

• Design, fine-tune, and optimize large language models (LLMs) and multimodal models for healthcare-specific NLP tasks, such as information extraction, classification, and summarization from clinical documents (e.g., medical charts, patient files, scanned forms).
• Develop and improve document understanding pipelines, including fine-tuning OCR / layout-aware models (especially in cloud environments like Azure AI, Azure Foundry) to handle real-world variability in medical forms, handwriting, and scanned PDFs.
• Build and iterate on end-to-end ML solutions that transform unstructured healthcare data into structured, actionable insights
• Collaborate closely with clinicians, product managers, data annotators, and engineers to define problems, curate/annotate datasets, evaluate model performance against clinical and business metrics, and iterate quickly.
• Deploy models into production environments (cloud-based inference, batch processing, or API endpoints) with attention to latency, cost, scalability, and healthcare compliance considerations (HIPAA, data privacy).
• Stay current with advancements in LLMs, vision-language models, efficient fine-tuning techniques (LoRA/QLoRA, PEFT), RAG, multimodal AI, and domain-specific healthcare AI research.
• Contribute to a culture of rapid prototyping, rigorous evaluation, and continuous improvement in a dynamic project landscape where priorities can shift based on new opportunities or stakeholder needs.
• Other duties as assigned

REQUIRED TECHNICAL SKILLS:

• Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, or equivalent)
• Hands-on experience with NLP applied to unstructured text
• Experience working with LLMs, including:
• Prompting strategies
• Fine-tuning for classification or extraction tasks
• Model evaluation and error analysis
• Experience designing or consuming annotation pipelines and labeled datasets
• Familiarity with structured prediction problems (multi-label classification, ranking, or probabilistic inference)
• Ability to reason about and mitigate model bias, label noise, and false positives
• Strong understanding of production ML systems (versioning, monitoring, iteration)
• Experience working with sensitive or regulated data (e.g., HIPAA-covered healthcare data), including privacy-aware data handling and secure ML workflows

OTHER SKILLS and ABILITIES:

• Hands-on experience with Azure AI services, Azure Machine Learning, OpenAI on Azure, and Microsoft Foundry
• Experience with clinical NLP libraries (scispaCy, medspaCy, cTAKES)
• Familiarity with RAG architectures for grounding model decisions
• Experience with weak supervision or noisy-label learning
• Knowledge of temporal reasoning or longitudinal modeling
• Exposure to knowledge graphs or ontology-driven systems
• Familiarity with healthcare vocabularies and ontologies:
• ICD-10
• SNOMED CT
• RxNorm (or similar)
• Understanding of clinical documentation structure (HPI, Assessment & Plan, medications, etc.)

EXPERIENCE:

• Bachelor’s Degree in related field
• 2-4+ years of experience in software engineering, machine learning, or applied NLP
• Demonstrated experience taking ML systems from prototype to production
• Experience collaborating with non-technical domain experts (e.g., medical coders, clinicians)

BENEFITS:

• 401(k)
• Dental Insurance
• Health Insurance
• Life Insurance
• Vision Insurance
• Paid Time Off
• Free catered lunches

Technical Lead / Platform Engineer

GenAI Healthcare SaaS Platform

Palo Alto, CA (Hybrid – 3 days onsite)

About the Role

We’re building a next-generation generative AI platform purpose-built for healthcare — and we’re looking for a hands-on Technical Lead to help architect and scale it from the ground up.

This is not a “manage from a distance” role. You’ll be deeply involved in system design, writing production code, guiding engineering direction, and making foundational technical decisions that shape the future of the platform. You’ll work closely with leadership and product to turn complex healthcare AI requirements into scalable, reliable infrastructure.

If you’ve led engineering efforts for production-grade AI systems and enjoy building high-performance teams and platforms, we’d love to talk.

What You’ll Own

• Architect and evolve the core infrastructure for a scalable AI-powered SaaS platform
• Lead development of backend services and ensure clean integration across systems
• Write high-quality, maintainable code with long-term scalability in mind
• Establish engineering best practices across architecture, CI/CD, monitoring, and DevOps
• Guide and mentor engineers while maintaining a strong individual contributor presence
• Define infrastructure automation strategies (IaC, provisioning, deployment workflows)
• Drive performance, reliability, and observability standards
• Partner with product and leadership to translate vision into executable technical milestones

What We’re Looking For

Core Experience

• 8+ years building and shipping production software
• Prior experience leading engineering initiatives or managing technical direction
• Proven track record scaling a generative AI system or AI-enabled platform in production
• Strong backend engineering background in Python
• Additional proficiency in TypeScript or Java
• Experience with a modern compiled language such as Go or Rust
• Deep knowledge of microservices architecture and RESTful API design
• Hands-on expertise with one major cloud provider (AWS, GCP, or Azure)
• Strong experience with Infrastructure as Code (Terraform preferred)
• Advanced DevOps knowledge: CI/CD, automated deployments, monitoring, alerting
• Experience containerizing and orchestrating services with Docker and Kubernetes

Leadership & Execution

• Comfortable setting technical direction while staying hands-on
• Strong communicator who can explain complex systems clearly
• Experience mentoring engineers and elevating engineering standards
• Ability to operate in a fast-moving, startup environment

Nice to Have

• Experience building or deploying ML/AI systems (TensorFlow, PyTorch, etc.)
• Strong GCP background (bonus if you’ve worked across AWS/Azure as well)
• Familiarity with frontend frameworks like React, Angular, or Vue
• Experience working in healthcare, health tech, or regulated industries

Work Environment

This role is based in Palo Alto with a hybrid schedule (3 days per week onsite). We provide daily meals and foster a collaborative, high-performance engineering culture.

Compensation & Benefits

• Base salary range: $220,000 – $280,000, depending on experience and location
• Meaningful equity package
• Medical, dental, and vision coverage
• Flexible hours
• Hybrid work environment
• Opportunity to help shape the future of AI in healthcare

If you're excited about building a production-grade AI platform that directly impacts patient outcomes — and want to help define the technical foundation of a category-defining company — let’s talk.

6 Month Contract to Hire

Onsite 3 days/week – Hartford, CT

$55/hr-$65/hr

Must‑Have Qualifications

• Strong experience as a full stack developer delivering complex, enterprise‑scale applications
• Hands‑on experience designing and implementing conversational AI solutions using IBM WatsonX Orchestrate or similar platforms (Dialogflow CX, Amazon Lex, , LivePerson)
• Proficiency in NodeJS/TypeScript and Java with Spring, building RESTful web services
• Solid understanding of scalable architecture patterns, data lifecycle management, and cloud‑native development
• Experience developing and deploying microservices on OpenShift or comparable container platforms
• Strong Agile experience, including breaking down user stories into tasks and estimating work within a SAFe delivery model
• Strong collaboration and communication skills across co‑located, cross‑functional teams

Nice‑to‑Have Qualifications

• Experience with Angular, React, HTML, CSS, JSP, or Python
• Familiarity with Speech‑to‑Text tuning and SSML for text‑to‑speech refinement
• Exposure to analytics and data platforms such as Tableau, Alation, DataRobot, or Trifacta
• Experience with CI/CD pipelines using tools such as Jenkins, GitHub, or Octopus
• Strong business acumen and interest in emerging AI and conversational technologies

Day‑to‑Day

In this role, you will design, build, test, and deploy conversational AI solutions that deliver accurate, scalable, and context‑aware chatbot and voice experiences. You will participate in feature and user story refinement sessions, translate requirements into technical implementations, and develop conversational flows that integrate with enterprise APIs, cloud functions, and backend systems. You will collaborate closely with product managers, UI/UX designers, backend engineers, and other developers to ensure seamless end‑to‑end delivery. On a daily basis, you will troubleshoot, debug, tune, and optimize conversational agents across multiple channels, apply clean coding standards, and continuously improve conversational accuracy using NLP and training data best practices.

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S. and has supported over 20,000 healthcare professionals and team members with close to 1,500 health and wellness offices across 48 states in four distinct categories: dental care, urgent care, medical aesthetics, and animal health. Working in partnership with independent practice owners and clinicians, the team is united by a single purpose: to prove that healthcare can be better and smarter for everyone. TAG provides a comprehensive suite of centralized business support services that power the impact of five consumer-facing businesses: Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Chapter Aesthetic Studio, and Lovet Pet Health Care. Each brand has access to a deep community of experts, tools and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale.

As a Senior Site Reliability Engineer (SRE) at TAG – The Aspen Group, you will be responsible for ensuring the reliability, performance, and scalability of our core systems. This role involves proactively building and managing, monitoring solutions, lead incident response, and continuously optimizing system performance to exceed business objectives. We are actively integrating AI and machine learning into our operational workflows, and you will be on the front lines, leveraging intelligent automation and machine learning to build a proactive resilient infrastructure. This is an opportunity to go beyond SRE by applying cutting-edge technology to solve complex reliability challenges.

Responsibilities:

Intelligent Site Reliability Engineering:

• Design and build highly scalable and resilient systems to support our applications and services, incorporating predictive analytics to anticipate reliability risks.
• Develop and manage Service Level Objectives (SLOs) and Service Level Indicators (SLIs) using machine learning anomaly detection to ensure systems meet reliability targets.
• Drive improvements in system reliability, availability, and performance through proactive measures, automation, and intelligent failure prediction.

Advanced Observability:

• Implement and manage comprehensive monitoring and alerting solutions, integrating with intelligent observability platforms that reduce alert noise and correlate events.
• Develop and maintain dashboards and reporting tools that provide data-driven insights for actionable troubleshooting recommendations and performance optimization.
• Evaluate and integrate advanced monitoring tools and operational intelligence platforms to enhance observability and root cause identification.

Proactive Incident Management:

• Lead and participate in incident response efforts, using intelligent log analysis and automated event correlation to speed up troubleshooting and root cause identification.
• Develop and maintain incident management processes incorporating automated decision support systems to improve response times and minimize service disruptions.
• Conduct post-incident reviews, using automated pattern recognition and trend analysis to identify systemic issues and implement preventive measures.

Performance and Capacity Optimization:

• Analyze performance metrics and logs, supported by advanced observability tools, to detect bottlenecks and inefficiencies.
• Collaborate with development teams to implement automated profiling and optimization recommendations for code and infrastructure improvements.
• Perform capacity planning using machine learning forecasting models to ensure systems can handle current and future loads.

Automation and Process Improvement:

• Develop and implement automation solutions, including intelligent runbook automation, self-healing systems, and automated incident triage.
• Identify and drive process improvements by applying machine learning to operational data for continuous optimization.
• Maintain documentation that includes automation and machine learning guidelines for monitoring, incident management, and SRE best practices.

Collaboration and Communication:

• Work closely with engineering, operations, and product teams to align reliability and monitoring goals, including automation adoption strategies.
• Communicate effectively with stakeholders, providing regular updates on system health, incidents, performance improvements, and data-driven insights.
• Foster a culture of collaboration, knowledge sharing, and automation best practices within the team and across the organization.

Requirements:

• Bachelor's degree in computer science or a related technical field.
• At least 5 years of experience in Site Reliability Engineering or a similar role.
• Strong proficiency in at least one programming language such as Python, Go, or C#
• Demonstrated experience applying machine learning and automation to operational workflows such as monitoring, alerting and incident response.
• Expertise with infrastructure as code tools such as Terraform
• Proven experience working and monitoring container environments such as Cloud Run and Kubernetes.
• Hands-on experience using and working within an Azure, AWS, and GCP environment (GCP preferred)
• Strong understanding of networking, distributed systems, and cloud infrastructure.
• Familiarity with intelligent monitoring platforms and operational analytics tools such as Prometheus, Grafana, OpenSearch, Sentry, Google Cloud Observability
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Experience with incident management, root cause analysis, and automated operational workflows.

Annual pay range: $129,000-$160,000

A generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match

ob Title: Automation Engineer/Technical Lead

Location: Foster City, Onsite (5 days a week)

Duration: Long Term Contract

Notes: Minimum of 3-5 years of experience administering or integrating process control systems, specifically. Rockwell FactoryTalk-based systems and/or Inductive Automation's Ignition based systems. Experience interfacing with PLCs, SCADA, or historian systems.

Job Summary:

We are looking for an experienced professional who will be responsible for administration of Rockwell FactoryTalk-based process control systems and Inductive Automation's Ignition-based process control and environmental monitoring systems. The candidate should have hands-on experience deploying, configuring, and troubleshooting these systems in a Good Manufacturing Practice (GMP) environment, with a good understanding of FDA regulations. This role focuses on deploying system updates, administering system security, resolving technical issues, and ensuring system reliability under the direction of a System Manager.

Key Responsibilities:

• Perform periodic system maintenance activities such as System Maintenance, Server Maintenance, System Audit Trail Review, User access reviews and coordinating with IT and drive completion of server maintenance.
• Monitor system performance, identifying bottlenecks and working with system manager to implement solutions to optimize system UI/UX. Perform periodic system health checks.
• Validate compatibility of OS patches with the application and co-ordinate with IT for installation of patches and perform post-patch verification testing on a periodic basis.
• Work with the System Manager to evaluate application patches on a periodic basis, perform installation of approved patches and assist Validation Engineers in regression testing following patch installation.
• Administering system security and access control such as creating, managing and updating user accounts within the system environments per applicable procedures.
• Collaborating with the System Manager to create and maintain training content and provide training to users requesting access.
• Troubleshoot and resolve hardware, software issues and collaborate with IT to resolve network-related issues impacting system availability and performance.
• Provide technical support during change management and assist automation engineers and/or system integrators in deploying changes to systems.
• Provide technical support for validation engineers performing annual backup and restore testing as well as disaster recovery testing.
• Assist validation engineers in installation, operational and performance testing as well as perform IQ/OQ/PQ testing, when required.

Qualifications and Skills:

• Bachelor's degree in computer science, Engineering, Industrial Automation, Information Technology, or a related field (or equivalent experience).
• Minimum of 3-5 years of experience administering or integrating process control systems, specifically. Rockwell FactoryTalk-based systems and/or Inductive Automation's Ignition based systems. Experience interfacing with PLCs, SCADA, or historian systems.
• Excellent communication skills and the ability to work collaboratively with technical and non-technical teams.
• Experience deploying and configuring systems in a production environment. Strong troubleshooting skills with the ability to diagnose and resolve complex technical issues efficiently.
• Demonstrated experience working in a GMP-regulated environment with a thorough understanding of FDA regulations (e.g., 21 CFR Part 11).
• Familiarity with system validation, change control, and documentation practices in a regulated setting.
• Experience in authoring and executing change control for implemented GMP systems.
• Ability to prioritize tasks and manage multiple responsibilities in a fast-paced environment.
• Keen attention to detail and a commitment to maintaining compliance with regulatory standards.

Preferred Skills:

• Relevant certifications (e.g., Rockwell Automation, Ignition, or similar) are highly desirable.
• Proficiency in operating system administration (windows and Linux), network administration, Python scripting, or automation is a plus.

The salary range provided for this contract role represents our good faith estimate for this position. Within the range, individual offers will vary based on the selected candidate's experience, industry knowledge, technical and communication skills, location and other factors that may prove relevant during the interview process (W2 or C2C). In addition to compensation, the company provides eligible W2 employees with a comprehensive and highly competitive benefits package.

I.T. Solutions, Inc. 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.