Top 50 Python Jobs in Arizona City, Az

Service Manager
Cognizant —Arizona City, AZ
- Full-time
- Hybrid work
- Computer Science
- HIPAA
- Office
- Paid parental leave
- Employee stock purchase plan
3d
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Service Manager

Cognizant -
Arizona City, AZ

Apply Now

Job Details

Full-time
3 days ago

Benefits

Paid parental leave
Employee stock purchase plan
Paid holidays
Disability insurance
Health insurance
Dental insurance
401(k)
Paid time off
Parental leave
Vision insurance
Life insurance

Qualifications

AI models
Containerization systems
Version control
Software engineering
Node.js
Application systems
Linux support
Ansible
Infrastructure as Code (IaC)
IT system monitoring
Generative models
Git
Application deployment
Managing IT teams
Team leader (DevOps)
AI platforms (beyond public GPTs)
Data governance
Global team management
Machine learning cloud services
Machine intelligence
Bachelor's degree
IT experience within healthcare
Cloud service support
Model deployment
Terraform
Cloud Native Design
Production monitoring
Problem management
Cloud automation
Cloud solution engineering

Full Job Description

About the Role
As a Service Manager – AI/LLM Platforms , you will make an impact by leading the operational excellence, reliability, and continuous improvement of AI-powered digital platforms supporting healthcare payer operations. You will oversee hybrid-cloud services leveraging Large Language Models (LLMs), MLOps practices, cloud-native technologies, and modern engineering frameworks to deliver secure, scalable, and compliant solutions that enhance member and provider experiences.
You will be a valued member of the Technology & Engineering team, collaborating closely with business stakeholders, product teams, platform engineers, AI specialists, and operations teams to ensure service stability, innovation, and regulatory compliance. In This Role, You Will:
Own end-to-end service accountability for payer-focused AI, LLM, and ML-enabled platforms, ensuring high availability, performance, and compliance across hybrid environments.
Lead operational governance and continuous improvement initiatives aligned with enterprise service management best practices.
Oversee MLOps processes supporting LLM-powered applications, including model deployment, monitoring, retraining, validation, and rollback strategies.
Coordinate the deployment and lifecycle management of containerized services utilizing Kubernetes to deliver scalable, resilient, and highly available solutions.
Implement and govern Infrastructure as Code (IaC) practices using Terraform to provision and manage cloud and on-premises resources consistently and securely.
Standardize configuration management through Ansible automation to improve operational efficiency and reduce service disruptions.
Support the development, deployment, and operational management of Node.js-based services and APIs that integrate AI and machine learning capabilities.
Establish best practices for Git-based version control, release management, code reviews, and repository governance across application and infrastructure teams.
Drive operational excellence across Linux environments, including security hardening, patch management, performance optimization, and system monitoring.
Guide Python-based development supporting data pipelines, AI orchestration, automation frameworks, and analytics workloads.
Collaborate with business stakeholders, product owners, and healthcare domain experts to translate complex payer requirements into reliable technology services.
Lead incident management, root cause analysis, problem management, and service restoration activities to minimize business impact.
Monitor platform health through metrics, logs, traces, and observability tools while continuously improving service reliability and resilience.
Foster a culture of knowledge sharing, operational excellence, automation, and continuous improvement across distributed teams.
Work Model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring attendance at a client or Cognizant office based on project needs.
The working arrangements for this role are accurate as of the date of posting and may change according to client and business requirements.
What You Need to Have to Be Considered
Bachelor's degree in Computer Science, Information Technology, Engineering, Healthcare Informatics, or a related field.
Significant experience managing enterprise platforms and technology services within the Healthcare Payer domain.
Deep understanding of payer operations, including claims processing, member engagement, care management, provider interactions, and regulatory considerations.
Hands-on experience supporting and operating LLM, Generative AI, and MLOps platforms in production environments.
Strong expertise with Kubernetes , Terraform , and Ansible for cloud-native infrastructure management and automation.
Experience developing, supporting, or integrating applications using Node.js and Python .
Strong knowledge of Git-based development workflows , release governance, and software delivery practices.
Proven experience administering and supporting Linux-based environments .
Experience managing incident response, problem management, change management, and service-level objectives (SLOs).
Strong understanding of observability, monitoring, logging, and operational analytics.
Exceptional stakeholder management, communication, and leadership skills. These Will Help You Stand Out
Experience supporting AI, analytics, or digital transformation initiatives within healthcare payer organizations.
Knowledge of cloud-native AI and machine learning services across major cloud providers.
Experience implementing Platform Engineering, Site Reliability Engineering (SRE), or DevOps best practices.
Familiarity with healthcare regulatory requirements, including HIPAA and data governance frameworks.
Experience managing distributed global teams operating in hybrid work environments.
Certifications in Kubernetes, Cloud Platforms, ITIL, Terraform, or AI/Machine Learning technologies.
Strong background in automation, self-healing architectures, and enterprise-scale service operations.

Benefits:
Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
Medical/Dental/Vision/Life Insurance.
Paid holidays plus Paid Time Off.
401(k) plan and contributions.
Long-term/Short-term Disability.
Paid Parental Leave.
Employee Stock Purchase Plan.
Why Cognizant?
At Cognizant, we're engineering modern businesses through innovation, technology, and human-centered solutions. You'll work with talented professionals, cutting-edge technologies, and industry-leading clients while helping shape the future of AI-driven healthcare solutions.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you don't meet every requirement. We value diverse experiences, transferable skills, and a passion for innovation.

Apply Now

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python jobs in arizona city, az

Service Manager

Senior Software Engineer

Sr Risk Systems Developer

Systems Engineer II - Practice Management Platform Exp.

FBI Special Agent: Advanced Data & Intelligence Expertise

Oracle Enterprise Data Scientist

Adobe Product Owner

Essbase Admin

Cloud Network Architect

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