Experience
6 - 11 yrs
Salary (CTC)
₹11.7L - ₹16L
Job Location
Hyderabad, India
Vacancy
1
Designation
Automation Engineer
Job Type
Not specified
Job Description
About the Role
In this role as a Solutions Engineer Automation and AI, you will:
- Lead and mentor a team of AI/Automation solution developers, providing technical guidance on best practices in solution development and deployment
- Foster a collaborative environment focused on code reviews, pair programming, and knowledge sharing
- Establish clear expectations and performance metrics for solution quality and delivery
- Implement version control best practices with clear commit messages, feature branches, and stable main branch management
- Establish CI/CD pipelines for automated builds, tests, and deployments to enable faster, safer releases
- Drive adoption of clean code principles (KISS, YAGNI, DRY, SOLID) to reduce complexity and improve maintainability
- Implement comprehensive logging and monitoring strategies for audit trails and production support
- Design and implement multi-environment deployment strategies (Development UAT QA Production)
- Establish Infrastructure as Code (IaC) practices using tools like Terraform or CloudFormation
- Create robust testing environments to prevent production issues and enable safe experimentation
- Implement automated testing frameworks for AI/Automation solutions including unit, integration, and end-to-end testing
- Lead cloud deployment initiatives on AWS and GCP platforms
- Design scalable, secure, and cost-effective cloud architectures for AI solutions
- Implement cloud-native, serverless deployment strategies for flexible scaling and global accessibility
- Establish monitoring, alerting, and observability practices for production AI systems
- Establish design standards and process documentation (PDD) to ensure consistent, organized automation development
- Implement configuration management practices to eliminate hard-coding and enable business user flexibility
- Create reusable component libraries and shared workflows to accelerate development and improve maintainability
- Establish quality assurance processes including testing protocols and output validation procedures
- Interface with various internal teams to coordinate deployment, environment setup, and integration requirements
- Translate business requirements into technical specifications and implementation plans
- Collaborate with security, compliance, and governance teams to ensure solutions meet enterprise standards
- Provide technical expertise to support business stakeholders and solution adoption
- Actively contribute to development work, focusing on high-impact improvements to maximize team productivity
- Troubleshoot complex technical issues and provide architectural guidance
- Prototype new technologies and evaluate their fit for our solution stack
- Participate in code reviews and provide technical mentorship
- Shift Timing: 12pm IST to 9pm IST
- Work Mode: Hybrid
About You
You re a fit for the role of Solutions Engineer Automation and AI, if your background includes:
- Bachelor s degree in computer science, Engineering, or related field.
- 6+ years of software development experience with strong programming skills in Python, Java, or similar languages
- Engineering management experience leading technical teams
- Cloud platform experience (AWS/GCP) including containerization, orchestration, and serverless technologies
- DevOps experience including CI/CD, Infrastructure as Code, and automated testing
- Experience with AI/ML frameworks and tools (TensorFlow, PyTorch, Hugging Face, etc.)
- Proven track record of implementing software engineering best practices in development teams
- Experience establishing and managing multi-environment deployment processes
- Strong project management skills with ability to balance technical debt and feature delivery
- Demonstrated ability to free teams from routine tasks to focus on higher-value, creative work
- Understanding of AI/ML model deployment, monitoring, and lifecycle management
- Knowledge of automation governance, security, and compliance requirements
- Experience with enterprise software delivery and production support processes
- Familiarity with security, governance, and compliance best practices for AI implementations
- AWS/GCP certifications (Solutions Architect, DevOps Engineer)
- Experience with specific tools in our stack: UiPath, Langraph, AWS Agentcore, Google Agentspace, Crew.ai
- Experience with monitoring and observability tools (DataDog, Grafana, etc.)
- Knowledge of enterprise identity and access management systems
- Previous experience in a similar role within our company or industry
No Referrers Available
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