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
