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Programmer (Dev)-AI Devops Engineer

  • Source: LinkedIn
  • Persistent Systems
  • Hybrid
  • Hyderabad
  • Full-Time
  • Mid level

Job Description

About Position:

We are looking for an experienced Programmer (Dev) to contribute to AI-Engineer with 8 to 12 years of expertise in Artificial Intelligence, AWS Cloud, and DevOps practices. The ideal candidate will have strong experience in designing, developing, deploying, and supporting AI-driven applications and cloud-native solutions. This role requires a blend of AI engineering, cloud architecture, automation, and software delivery expertise to build scalable, secure, and business-focused solutions.

  • Role: Programmer (Dev)-AI Devops Engineer
  • Location: Hyderabad
  • Experience: Between 8 to 12 Years
  • Job Type: Full Time Employment

What You’ll Do:

  • Design, develop, and deploy AI-powered applications and intelligent business solutions.
  • Build scalable and secure solutions using AWS cloud services and modern DevOps practices.
  • Translate business and technical requirements into robust AI and cloud-based architectures.
  • Collaborate with data scientists and engineering teams to operationalize AI and Machine Learning models.
  • Develop and manage automated deployment pipelines for AI applications and cloud workloads.
  • Implement MLOps and DevOps practices to streamline development, testing, deployment, and monitoring.
  • Optimize AI workloads for performance, scalability, reliability, and cost efficiency.
  • Support cloud infrastructure provisioning, monitoring, and operational excellence initiatives.
  • Integrate AI models and services with enterprise applications and business systems.
  • Perform code reviews, testing, troubleshooting, and production support activities.
  • Collaborate with architects, QA teams, DevOps engineers, and business stakeholders throughout the project lifecycle.
  • Implement security, governance, and compliance controls across AI and cloud environments.
  • Identify risks, dependencies, and performance bottlenecks and drive timely resolution.
  • Develop technical documentation, architecture diagrams, deployment guides, and operational runbooks.
  • Contribute to reusable frameworks, automation assets, and continuous improvement initiatives.
  • Stay current with emerging AI technologies, cloud innovations, and engineering best practices.

Expertise You’ll Bring:

  • 8 to 12 years of experience in software engineering, cloud engineering, AI engineering, or related domains.
  • Strong hands-on expertise in AWS cloud services and cloud-native application development.
  • Experience developing and deploying AI, Machine Learning, or Generative AI solutions in enterprise environments.
  • Strong understanding of AI model development, deployment, monitoring, and lifecycle management.
  • Experience implementing DevOps practices, CI/CD pipelines, and deployment automation.
  • Knowledge of MLOps frameworks and AI model operationalization strategies.
  • Experience with containerization technologies such as Docker and orchestration platforms like Kubernetes.
  • Familiarity with AWS AI/ML services and cloud-native architecture patterns.
  • Strong understanding of Infrastructure as Code and automation frameworks.
  • Experience integrating AI applications with APIs, enterprise systems, and cloud platforms.
  • Knowledge of monitoring, logging, observability, and operational support processes.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Experience delivering production-grade enterprise solutions with high availability, scalability, and security requirements.
  • Ability to analyze complex business requirements and provide practical technical solutions.
  • Experience working in Agile and cross-functional delivery teams.
  • Strong communication, stakeholder management, documentation, and collaboration skills.
  • Proven ability to drive technical excellence and continuous improvement initiatives.

Benefits:

  • Competitive salary and benefits package
  • Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
  • Opportunity to work with cutting-edge technologies
  • Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
  • Annual health check-ups
  • Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Values-Driven, People-Centric & Inclusive Work Environment:

Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified indiv…

Skills

  • amazon-web-services
  • streamline
  • Docker
  • Kubernetes

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