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From Home Ip Multimedia Subsystem Jobs (NOW HIRING)

Cognizant

DevOps Engineer with Python

Warrenville, IL · On-site

Familiarity with telecom networks or IMS (IP Multimedia Subsystem) environments is a plus. Experience with Nokia IMS network elements or similar telecom systems is advantageous. • Domain Experience:

Stellent IT LLC

EPC Developer

Dallas, TX · On-site

MME (Mobility Management Entity) SGW (Serving Gateway) PGW (Packet Gateway) HSS (Home Subscriber ... IMS (IP Multimedia Subsystem) VoLTE / VoNR (Voice over LTE / Voice over New Radio) Soft Skills:

Btisolutions

Network Engineer

Bellevue, WA

Internet browser and Internet protocol IP multimedia subsystem software * Transaction security and ... Our team benefits from competitive compensation, comprehensive health and wellness offerings, and ...

BTI Solutions

Network Engineer

Bellevue, WA

Internet browser and Internet protocol IP multimedia subsystem software * Transaction security and ... Our team benefits from competitive compensation, comprehensive health and wellness offerings, and ...

Intellect Solutions LLC

IL · On-site

Analyze network equipment, operating systems, integration and testing, and cross functional work experience to facilitate support of multiple IP-Multimedia Subsystem (IMS), which defines the ...

Implify Inc

Wifi Cable Tester

Moorestown, NJ · On-site

... IMS ( IP - Multimedia Subsystems ) At least 2 years of experience in software development life ... Current Home & Work Location in USA (City, State): Please confirm your Cell Phone: What is the best ...

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As of Jul 27, 2026, the average yearly pay for from home ip multimedia subsystem in the United States is $104,124.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,000.00 and $131,500.00 per year, depending on experience, location, and employer.
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Infographic showing various From Home Ip Multimedia Subsystem job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, and 4% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $104,124 per year, or $50.1 per hour.
DevOps Engineer with Python

DevOps Engineer with Python

Cognizant

Warrenville, IL • On-site

Full-time

Posted 2 days ago

Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

52nd of 73 rated business consultants

Job description

Job Summary:
Cognizant is focused on leveraging IoT capabilities to design modern products that connect people with processes. They are seeking a DevOps Engineer with Python expertise to build and deploy AI models, implement automation solutions, and integrate AI components into existing software environments.
Responsibilities:
• Strong foundation in artificial intelligence and machine learning, with hands-on experience building AI agents or models (e.g. NLP assistants, predictive algorithms) and deploying them in production.
• Proven ability to design and implement automation solutions – adept in scripting and programming (Python or similar), API integration, and using automation frameworks or tools to connect systems and streamline processes.
• Experience integrating AI components into existing software or IT environments, ensuring compatibility and robust performance in real-world scenarios.
• Solid understanding of AI security and data privacy best practices.
• Able to incorporate encryption, data protection, and ethical AI considerations into development and deployment.
• Self-driven and resourceful, capable of working autonomously to troubleshoot complex problems and drive projects to completion without close supervision.
• Excellent teamwork skills with the ability to communicate effectively across technical and non-technical teams, ensuring alignment and shared understanding of project goals.
• Familiarity with telecom networks or IMS (IP Multimedia Subsystem) environments is a plus.
• Previous work in telecommunications, network automation, or related industry experience can be beneficial.
• Demonstrated enthusiasm for staying up-to-date with the latest AI/ML technologies, automation tools, and industry best practices.
Qualifications:
Required:
• AI/ML Expertise: Strong foundation in artificial intelligence and machine learning, with hands-on experience building AI agents or models (e.g. NLP assistants, predictive algorithms) and deploying them in production.
• Automation Proficiency: Proven ability to design and implement automation solutions – adept in scripting and programming (Python or similar), API integration, and using automation frameworks or tools to connect systems and streamline processes.
• AI Integration: Experience integrating AI components into existing software or IT environments, ensuring compatibility and robust performance in real-world scenarios.
• Security Awareness: Solid understanding of AI security and data privacy best practices. Able to incorporate encryption, data protection, and ethical AI considerations into development and deployment.
• Independent Problem-Solving: Self-driven and resourceful, capable of working autonomously to troubleshoot complex problems and drive projects to completion without close supervision.
• Collaboration & Communication: Excellent teamwork skills with the ability to communicate effectively across technical and non-technical teams, ensuring alignment and shared understanding of project goals.
Preferred:
• Telecom Industry Knowledge: Familiarity with telecom networks or IMS (IP Multimedia Subsystem) environments is a plus. Experience with Nokia IMS network elements or similar telecom systems is advantageous.
• Domain Experience: Previous work in telecommunications, network automation, or related industry experience can be beneficial. Experience with Redhat openshift deployments and automation is a plus.
• Continuous Learning: Demonstrated enthusiasm for staying up-to-date with the latest AI/ML technologies, automation tools, and industry best practices.
Company:
Cognizant is a professional services company that helps clients alter their business, operating, and technology models for the digital era. Founded in 1994, the company is headquartered in Teaneck, USA, with a team of 10001+ employees. The company is currently Late Stage.

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