Programmer (Dev)-AI Devops Engineer

Persistent Systems; Hyderabad; Hybrid; INR 5,000,000 - 7,000,000; Full time

Benefits offered by this job

Flexible work hours

Long Service awards

Group term life

Mediclaim hospitalization

Job summary

Persistent Systems is seeking 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 role focuses on designing, developing, deploying, and supporting AI-driven applications and cloud-native solutions.

You will work with data scientists and engineers to operationalize models, build automated deployment pipelines, implement MLOps, and ensure performance, security, and cost efficiency.

Qualifications

• 8–12 years of experience in software engineering, cloud engineering, AI engineering, or related domains.

Responsibilities

• 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 ML 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.

Tools

AWS

Docker

Kubernetes

CI/CD

MLOps

DevOps

Job description

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.

• 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.
• 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
• 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 individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

• We support hybrid work and flexible hours to fit diverse lifestyles.
• Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
• If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment

Let's unleash your full potential at Persistent - persistent.com/careers

Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.