Prometheus Query Examples Kubernetes Jobs in Usa

Job summary:

We are seeking highly skilled full stack developers with strong expertise in backend development using Java Spring Boot, frontend development using Angular and Drupal. The ideal candidate will have deep database design and optimization skills, experience building scalable web applications and ability to work across the full software development cycle.

Key responsibilities:

Database & Data Management:

• Strong Oracle Database skills.
• Design and maintain relational database schemas (Oracle, MySQL)
• Write complex SQL queries, Stored procedures, triggers, and performance tuned indexes.
• Handle data migration . normalization and optimization for high volume systems.
• Experience with NOSQL database is a plus.

Frontend Development:

• Develop responsive, user-friendly web interfaces using Angular(latest version), HTML, CSS, TypeScript, React etc.
• Work on UI/UX designs and prototypes and translate the designs into functional UI components.
• Optimize frontend performance and ensure cross-browser compatibility.

Web Platform Development:

• Develop, customize, and maintain Drupal-based websites and applications.
• Build and manage custom Drupal modules, themes, content types, and views.
• Integrate Drupal with backend services and third-party systems via APIs.

Backend Development:

• Design, develop and maintain REST APIs and microservices using Java, Spring Boot, Spring MVC and Spring Security.
• Implement business logic, integrations, backend services with high performance and reliability.
• Ensure application security , scalability, and performance best practices.

Other Preferred Skills:

• Participate in CI/CD pipelines, build automation and deployment processes.
• Write unit, integration, and end to end tests.
• Troubleshoot and resolve issues
• Conduct code reviews and ensure adherence to coding standards.
• Additionally, experience with version control (Git/Bitbucket) and DevOps practices (CI/CD, Docker) is crucial.
• Familiarity with Docker and Kubernetes.
• Knowledge of cloud platforms (AWS, Azure)
• Experience working in Agile/Scrum teams.
• Healthcare industry experience.
• Soft skills like communication, teamwork, accountability, ownership, self-driven, analytical thinking and problem-solving are also essential.
• Ability to work independently and collaboratively in cross-functional teams.
• Excellent communication and documentation skills.
• Proactive mindset with attention to detail.

About Wave Health

Wave Health, powered by Treatment Technologies & Insights, Inc. (TTI), aims to improve treatment experiences and outcomes for patients with cancer and chronic illnesses. We develop custom software and mobile applications to help patients manage their treatment and generate insights on their personal experiences with high-acuity or chronic conditions.

We have aggressive plans to continually enhance our infrastructure, and due to ongoing partnerships and strategic growth, we are seeking to grow our Engineering Team.

The Role

TTI is looking for a Senior Backend Engineer to join our platform team. This team member will play a critical role in designing and building the APIs and services that power the Wave Health platform.

As part of a team providing core system functionality that other engineers build upon, we are looking for someone who can not only tackle tough technical problems but also collaborate and evangelize best practices across teams. We value engineers who bring fresh ideas and are willing to own problems through to a solution. You should be comfortable working in a fast-paced startup culture and have experience architecting complex, production-grade healthcare systems.

This is a Hybrid (in-office 3x per week) role.

Required Qualifications

• BS/BA degree in Computer Science or equivalent practical experience
• Solid understanding of Computer Science fundamentals
• 5+ years of relevant backend engineering experience
• Proficiency in PHP and the Laravel framework
• Strong experience with MySQL, including query optimization, indexing strategies, and database architecture
• Experience designing and building RESTful APIs at scale
• Experience in architecting complex systems with high security, reliability, and scalability requirements
• Familiarity with healthcare data privacy requirements (e.g., HIPAA compliance)
• Experience contributing to architecture decisions in production environments, handling sensitive data
• Ability to mentor and support other engineers through code reviews and technical guidance

Nice to Have

• Experience with AWS services (EC2, EKS, RDS, S3, CloudFormation, etc.)
• Knowledge of HL7 FHIR standards and healthcare interoperability protocols
• Experience integrating with Electronic Health Record (EHR) systems
• Experience with containerization and orchestration (Docker, Kubernetes)
• Familiarity with CI/CD pipelines and DevOps practices
• Experience with microservices architecture patterns
• Exposure to mobile API development for iOS and Android platforms

What You Will Do

• Design, build, and maintain backend services and APIs that power the Wave Health platform
• Architect scalable solutions for chronic condition management and patient data workflows
• Collaborate with mobile (iOS and Android) teams to define and optimize API contracts
• Drive technical decisions on system design, data modeling, and service architecture
• Ensure platform security and compliance with healthcare regulations (HIPAA, GDPR)
• Improve system reliability, performance, and observability across the platform
• Participate in code reviews and contribute to engineering best practices and standards



Why Wave Health

• Mission-driven work improving the lives of cancer and chronic illness patients
• Small, collaborative engineering team where your contributions have an outsized impact
• Opportunity to shape the technical direction of a growing healthcare platform
• Work with modern tooling and cloud-native infrastructure
• Fast-paced startup environment with room for growth and leadership

Expected Salary Range: $130 - 150k

Software Engineer (Backend with DevOps Exposure)

Hybrid | Tampa, FL (Onsite Monday–Thursday) Zip Code: 33605

Long-Term Contract

Mid-Level (2–3 Years Experience)

Our global manufacturing client is seeking a Software Engineer to join a high-performing development team building and supporting enterprise backend systems. This role is ideal for a backend-focused engineer who enjoys owning services end-to-end and collaborating closely with DevOps and infrastructure teams to deliver reliable, production-ready solutions.

You’ll contribute to modernizing backend services, enhancing CI/CD processes, and supporting scalable cloud-based applications that power critical business operations. This is not a pure DevOps role — but strong familiarity with modern deployment pipelines and infrastructure tooling is essential.

Responsibilities

• Design, develop, and enhance backend services using Java and/or Kotlin
• Build scalable, maintainable APIs and service integrations
• Write and optimize SQL queries and data integrations (PostgreSQL)
• Collaborate with DevOps teams to improve CI/CD pipelines and release automation
• Contribute to infrastructure-as-code initiatives using Terraform (or similar tools)
• Support build automation and deployment workflows
• Write and maintain shell scripts to streamline engineering processes
• Participate in code reviews and uphold engineering best practices
• Help support and troubleshoot production systems as needed

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent practical experience)
• 2–3 years of professional software engineering experience
• Strong backend development experience in Java and/or Kotlin (experience in both is highly preferred)
• Experience working with relational databases (PostgreSQL preferred)
• Exposure to CI/CD pipelines and build processes
• Working knowledge of Terraform or similar infrastructure-as-code tools
• Basic shell scripting experience

Nice to Have

• Experience working in cloud environments (AWS, Azure, or GCP)
• Familiarity with containerization (Docker, Kubernetes)
• Experience supporting production applications in enterprise environments
• Understanding of DevOps best practices and modern engineering tooling
• Exposure to frontend technologies such as React
• Experience with TypeScript
• Familiarity with Material UI

Work Environment

• Collaborative, team-oriented engineering culture
• Opportunity to work on enterprise-scale systems within a global organization

*Final compensation will be determined based on experience, skills, and location*

We're Hiring: Director of IT Architecture (Remote, with onsite meetings as needed)

We are seeking a Director of IT Architecture | Enterprise Architecture | Cloud & Systems Leader to lead and shape the IT architecture strategy for a growing healthcare organization. This is a unique opportunity to design and implement technology solutions that support business goals, regulatory compliance, and modern healthcare delivery.

Key Responsibilities:

• Define and execute a comprehensive IT architecture strategy aligned with clinical, operational, and business objectives.
• Lead and manage a team of network, cloud, and systems architects, fostering collaboration and high performance.
• Oversee network, cloud, and systems architecture initiatives, ensuring security, scalability, and interoperability.
• Evaluate, test, and implement modern platform visibility solutions (DataDog, Dynatrace, New Relic, Prometheus / Grafana).
• Collaborate with IT leadership, business stakeholders, vendors, and cloud providers to optimize technology investments.
• Establish IT governance, standards, and best practices to ensure compliance with industry regulations (HIPAA, HITECH, HITRUST).
• Monitor performance, risks, and cost optimization across all IT architecture initiatives.

Required Qualifications:

• Bachelor’s degree in Computer Science, IT, Healthcare Informatics, or related field.
• 10+ years of progressive experience in IT architecture, including at least 5 years in a leadership role managing network, cloud, and systems architecture teams, preferably in healthcare.
• Hands-on experience with cloud platforms (AWS, Azure) and hybrid environments.
• Demonstrated history of assessing, testing, and implementing modern platform visibility solutions (DataDog, Dynatrace, New Relic, Prometheus / Grafana).
• Strong expertise in network architecture (SD-WAN, VPNs, firewalls, healthcare data exchange networks).
• Deep knowledge of systems architecture, including server infrastructure, virtualization, storage, disaster recovery, and healthcare IT standards (HL7, FHIR, DICOM).
• Strong leadership, communication, and stakeholder management skills.
• Strategic thinker with strong problem-solving and analytical abilities.

Preferred Qualifications:

• Master’s degree in a related field.
• Relevant cloud certifications (AWS Solutions Architect Professional, AWS Security Specialty, Microsoft Azure Solutions Architect).
• Security and architecture certifications such as CISSP, CCNP, HITRUST, or FinOps.

This is a remote role with the flexibility to work from home, while requiring occasional onsite meetings for leadership collaboration and strategic planning.

If you are a visionary IT leader with a strong healthcare background, experience leading cloud, network, and systems architecture teams, and a passion for building scalable, secure IT platforms, we want to hear from you!

Middleware Engineer

Contract to hire

Hybrid (2-3 days onsite)– Newtown Square, PA

The candidate will be a team player in a technology organization responsible for Middleware Infrastructure environment. The organization consists of highly trained system engineers and administrators, whose responsibilities include sustaining, engineering and production support of our Middleware environments. At client, Middleware technologies include OpenShift, Kubernetes, containers, Kafka, Apigee, IBM ESB, IBM MQ, Java, Tomcat, Apache, IIS etc.

Key Responsibilities:

• Manage Middleware products/environments including new installations, upgrades, maintenance and tuning, monitoring and capacity planning.
• Provide system/technical expertise while managing application deployments and troubleshooting application and platform issues.
• Participate in 24x7 rotational On-Call production Middleware Infrastructure administration support for business-critical applications.
• Design, build and manage OpenShift clusters across Development, test and production environments.
• Develop and implement CI/CD pipelines leveraging Jenkins, Git or similar
• Manage and optimize Kubernetes/OpenShift resources, Pods,Services,Routes,operators,Helm Charts etc.)
• Review system logs on critical servers regularly and address system generated errors and warnings immediately to ensure minimum downtimes and disruption to users
• Expertise in reviewing, implementing and supporting Enterprise Security solutions including Web Service Security, SSL Mutual Authentication, SSL certificate management.
• Expertise in Various middleware technologies including Apache, application and web servers, Expertise in administering and architecture of IBM MQ environments, Kafka, Apigee including deployment, upgrades, configurations, setup, performance tuning.
• Regularly review security patches on all servers and install the latest security patches/service packs periodically.

Required Qualifications:

• Bachelor’s degree in computer science , Information Technology with equivalent experience.
• At least ten(10) years of experience of overall support of Middleware Technologies and Infrastructure.
• 5-7 + years’ experience in containerization and Orchestration (Kubernetes, docker Etc.)
• Experience with Kubernetes concepts (pods, deployments, namespaces, RBAC, networking)
• Assist in updating documented guidelines and procedures for the IT-Infrastructure unit and ensure that the documentation reflects any/all procedural changes.
• Perform system health checks of core infrastructure systems as needed.
• Integrate proactive monitoring, logging and alerting using enterprise monitoring tools.
• Must be a self-starter with the ability to work independently and in a collaborative team environment.
• Extensive experience and skill in the use of scripting (bash, python, PowerShell) to report on systems and automate processes.
• Participate in planning, testing and implementation of disaster recovery plans at the Primary and Secondary Disaster Recovery site.
• Certifications are preferred (i.e. Redhat OpenShift/Kubernetes certification,)

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Pinterest helps more than 450 million people discover new ideas to help design their life. Our users come to Pinterest to explore ideas and run more than 6 billion search queries every month. Many of these queries represent exploratory search intent and are broad, which means that the search system should be able to deeply understand this intent, and then help people explore content, personalize results, harness visual signals effectively, and show the most engaging content up front. In addition, the team also owns query refinements and modules that help Pinners narrow their search intent from broad exploratory queries, to help them narrow their results down. All of this means that Pinterest search presents a unique challenge quite unlike other search systems and the opportunity to innovate on a product that only Pinterest can build.

We are looking for an exceptional technical leader and engineering manager to help lead the search backend team that spans across Palo Alto and Seattle.

What you will do:

• 
  
• The candidate will be responsible for major areas of the search engine for more than 450 million monthly active Pinterest users, including indexing and document ranking, query and content understanding, personalization, ML based retrieval, shopping, videos, as well as infrastructure efficiency and scalability. In addition, the candidate will work on innovative applications of NLP and Vision Models, and other techniques to drive query recommendations, multimodal search, agentic search, multimodal query understanding, and query based module generation and ranking.
  
• Work closely with the other engineering teams in Pinterest to bring superior search experience to our users, such as Search Product, Infrastructure, research and content signals.
  
• Deeply understand the Pinterest search product, and drive the vision for the team.
  
• Provide visibility for senior leadership into the team's global impact.
  
• Partner with stakeholders to expand impact across the company, including product management, data scientists and design.
  
• Mentor and grow managers, leaders and engineers on the team.
  
• Build a culture of excellence and expertise.
  

What we are looking for:

• 
  
• Experience leading and working on a large-scale production search, recommendation or ads systems that are based on state-of-the-art machine learning and big data technology.
  
• Applied machine learning experience is strongly preferred. Experience in related fields such as recommendation systems, natural language processing and computer vision is a bonus.
  
• Ability to drive the roadmap and directions of scalable production quality systems end-to-end.
  
• A knack for product and impact on users of a consumer product.
  
• 3+ years of experience in leading/managing a highly impactful ML-based engineering team of 5+ size; 7+ years of software development experience.
  
• Bachelors degree in computer science or related technical field, or equivalent experience
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-REMOTE

#LI-DM57

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee, whether a team member of Etsy or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and keeping commerce human.

Salary Range: $252,000.00 - $328,000.00

What's the role? We are looking for a Senior Engineering Manager to lead our Models team. In this role, you will manage a team of motivated ICs to build the next generation of Etsy's models platform, which in turn will enable your customer teams to improve the quality of search, ads, recommendations, and other ML applications for nearly 100M buyers and over 5M sellers. Do you have a passion for training, serving and scaling machine learning models? Are you excited by the challenges of building a platform for diverse machine learning use cases? Are you motivated to lead and develop ICs at different stages of their careers? If so, this could be the perfect match. This opportunity is a full-time position reporting to the Director of Engineering for ML Enablement. This position will be in Brooklyn, NY or for remote candidates based in the United States.

What's this team like at Etsy? The Machine Learning Enablement Initiative builds and maintains a complete ecosystem of ML systems including our feature & embeddings store, model training, serving, orchestration and testing infrastructure. The Models team is responsible for the model catalog, APIs, and serving infrastructure that runs our online models at high scale (millions of inferences per second). It is a small team historically focused on operations, but transitioning to play a more direct role in the application layer. The team is presently leading Etsy's migration from Tensorflow to Pytorch, building upon an innovative architecture designed in-house and based on KServe, NVIDIA Triton, Apache Arrow, and Ray. We are using this opportunity to fill in historical gaps in automation, integration, and standardization across the ML platform. We aspire to unify modeling approaches across all major ML development teams at Etsy. This is a big, challenging opportunity to influence how models are created, trained, and deployed across the entire company!

What does the day-to-day look like? Meet with customers to understand their latest use cases. Work with your team and partners to translate those use cases into concrete requirements. Offer an informed point of view on engineering, system design, and machine learning considerations. Keep track of ongoing issues (stability, performance, cost) with models on the platform, and identify short-term fixes and long-term platform improvements. Maintain a product roadmap, lead agile processes and plan workstreams for a team of 4 ICs. Occasionally lead multi-functional \"tiger teams\" for dedicated projects. Coach your ICs and support their career development trajectories. Own and maintain the team's customer-facing surfaces: documentation, code examples, metrics, dashboards, UIs, launch announcements, etc. We are proud of our engineering culture that encourages career growth and learning in a blameless environment. You can learn more about our philosophies, tools, and some of the challenges we've been solving on our Engineering blog. Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.

Qualities that will help you thrive are: A strong track record of developing and serving machine learning models at scale, with at least 4 years in a leadership capacity (tech lead or EM) and 2 years as an engineering manager. You like to be deep in the technical work, but you can also build partnerships across teams in a highly collaborative environment. Passion for building platforms that don't just work, but that are easy to maintain and extend, and are delightful to use. You are a strong collaborator, communicator, and coach and you are passionate about helping the engineers around you grow and learn. You have 5+ years of experience building, iterating and solving complex problems with a significant backend component. Background and hands-on experience with Cloud technologies (Google Cloud, AWS, Kubernetes) is a plus.

Additional Information If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status, or any other characteristic protected by applicable law. If, due to a disability, you need an accommodation during any part of the application or interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.

Job Title: Sr AI Platform Engineer- AI Platform Engineer (Guardrails, Observability & Evaluation Infrastructure)

Location, Charlotte, NC, USA (3 days onsite)

Role Overview

AI Platform Engineer to design and build the foundational components that power enterprise scale GenAI applications. This includes data guardrails, model safety tooling, observability pipelines, evaluation harnesses, and standardized logging/monitoring frameworks. This role is critical for enabling safe, reliable, and compliant AI development across multiple use cases, teams, and business units. Idea is to create the common platform services that AI team will build upon.

Key Responsibilities

1. Guardrails, Safety & Governance

• Design and implement data guardrail frameworks (pre processing, redaction, PII/PHI filtering, DLP integration, prompt defenses).

• Build "Model Armor" components such as:

o Input validation & sanitization

o Prompt injection defenses

o Harmful content detection & policy enforcement

o Output filtering, fact checking, grounding checks

• Integrate safety tooling (policy engines, classifiers, DLP APIs, safety models).

• Collaborate with Security, Compliance, and Data Privacy teams to ensure frameworks meet enterprise governance requirements.

2. Observability Frameworks

• Build and maintain observability pipelines using tools like Arize AI (tracing, quality metrics, dataset drift/hallucination tracking, embedding monitoring).

• Define and enforce platform wide standards for:

o Tracing LLM calls

o Token usage and cost monitoring

o Latency and reliability metrics

o Prompt/model version tracking

• Provide reusable SDKs or middleware for engineering teams to adopt observability with minimal friction.

3. Logging, Monitoring & Telemetry

• Design standardized LLM-specific logging schemas, including:

o Inputs/outputs

o Model metadata

o Retrieval metadata

o Safety flags

o User context and attribution

• Build monitoring dashboards for performance, cost, anomalies, errors, and safety events.

• Implement alerting and SLOs/SLIs for LLM inference systems.

4. Evaluation Infrastructure

• Architect and maintain evaluation harnesses for GenAI systems, including:

o RAG evaluation (faithfulness, relevance, hallucination risk)

o Summarization/QA evaluation

o Human-in-the-loop review workflows

o Automated eval pipelines integrated into CI/CD

• Support frameworks such as RAGAS, G Eval, rubric scoring, pairwise comparisons, and test case generation.

• Build reusable tooling for teams to write, run, and track model evaluations.

5. Platform Engineering & Reusable Components

• Develop shared libraries, APIs, and services for:

o Prompt management/versioning

o Embedding pipelines and model wrappers

o Retrieval adapters

o Common data loaders and document preprocessing

o Tool/function schemas

• Drive consistency across teams with standards, reference architectures, and best practices.

• Review system designs across use cases to ensure alignment to platform patterns.

6. Collaboration & Enablement

• Partner with AI engineers, product teams, and data scientists to understand cross cutting needs and convert them into reusable platform features.

• Create documentation, onboarding guides, examples, and developer tooling.

• Provide internal training (brown bags, workshops) on guardrails, observability, and evaluation frameworks.

Required Qualifications

Technical Skills

• 5–10+ years software engineering or ML infrastructure experience.

• Strong Python engineering fundamentals (FastAPI, async, typing/Pydantic, testing).

• Experience with model safety/guardrails approaches (prompt injection defense, PII redaction, toxicity filters, policy enforcement).

• Hands on with Arize AI, LangSmith, or similar LLM observability platforms.

• Experience creating evaluation frameworks using RAGAS, G Eval, or custom rubric systems.

• Strong familiarity with vector databases (Pinecone, Weaviate, Milvus), embeddings, and retrieval pipelines.

• Solid understanding of LLM architectures, tokenization, embeddings, context limits, and RAG patterns.

• Experience in cloud (GCP preferred), Kubernetes/GKE, containers, and CI/CD.

• Strong understanding of security, governance, DLP, data privacy, RBAC, and enterprise compliance requirements.

Soft Skills

• Strong documentation and communication skills.

• Ability to influence engineering teams and standardize best practices.

• Comfortable working across multiple stakeholders—platform, security, ML engineering, product.

Nice to Have

• Experience with LangChain/LangGraph or LlamaIndex orchestrations.

• Experience with , Rebuff, Protect AI, or similar LLM security tooling.

• Experience with GCP Vertex AI pipelines, Model Monitoring, and Vector Search.

• Familiarity with knowledge graphs, grounding models, fact checking models.

• Building SDKs or developer frameworks adopted across multiple teams.

• On prem or hybrid AI deployment experience.

• 
  
  
• 
  
  Sign On Bonus Potential: Up To 10K
  
  
• 
  
  Randallstown, MD
  
  
• 
  
  NORTHWEST HOSPITAL
  
  
• 
  
  CAT SCAN
  
  
• 
  
  Full-time - Weekends - Day and Evening shifts - Hours Vary
  
  
• 
  
  ALLIED HEALTH
  
  
• 
  
  92660
  
  
• 
  
  $36.94-$58.17 Experience based
  
  
• 
  Posted:
  February 27, 2026
  
  

Summary

Summary

Performs Cat Scan procedures at a safe and experienced level without direct supervision. Unified by the core purpose of creating a healthier community one person at a time, the members of the Division of Patient Care Services commit themselves to sustaining a culture focused on achieving optimal patient outcomes.

Responsibilities

Provides excellent customer support by providing the best service possible. Demonstrates empathy and understanding of patient/customer concerns by listening carefully and responding appropriately. Displays a commitment to the value of teamwork by building strong relationships with patients, families, co-workers and the surrounding community by being cooperative and collaborative in the performance of duties, promoting a unified and spirited workplace.Performs CT scan procedures using prescribed techniques. Reviews requisitions to ensure completeness verifying patient name, diagnosis, description of requested exam. 

Experience: Required: * 1-3 years 

Education: Required: * Associate's Degree Graduate of a JRCERT accredited school in the field of Radiologic Technology. Licenses And Certification: Required: * Radiographer License - Current Maryland license or eligibility to obtain Maryland license * Basic Life Support * Registered Radiologic Technologist

Additional Information