MLOps/DevOps Engineer

ROLE RESPONSIBILITIES : - Design, implement, and maintain infrastructure and tools for software development and deployment using IaC tools. - Automate processes for continuous integration, delivery, and deployment (CI/CD pipeline) to ensure smooth software delivery. - Collaborate closely with developers, testers, and operations teams to facilitate seamless software delivery. - Monitor system health and performance, proactively identifying and resolving issues. - Perform root cause analysis to diagnose and fix production errors. - Implement logging and monitoring tools to gain insights into system behavior. - Train and guide junior developers on DevOps principles, fostering their professional growth. - Foster a collaborative learning environment within the team, promoting knowledge sharing and continuous learning. - Communicate the value of DevOps practices and reusable components to stakeholders, highlighting their impact on business outcomes. - Collaborate with stakeholders to understand their needs, aligning DevOps practices and reusable components with their goals. - Continuously improve and optimize DevOps processes and workflows, leveraging feedback and lessons learned. - Stay up to date with the latest trends in DevOps, AI, and data science, and share knowledge across the organization. - Provide strategic input to the AI ecosystem, contributing to platform evolution and new capability development. - Collaborate with AI development teams to integrate reusable components into production AI solutions. - Partner with the AIDA Platforms team to enforce best practices for reusable component architecture and engineering principles. BASIC QUALIFICATIONS : - Bachelor's degree in computer science, information technology, software engineering, or a related field (Data Science, Computer Engineering, Computer Science, Information Systems, Engineering, or a related discipline). - 7 years of relevant work experience in DevOps or a related field. - Strong scripting skills in languages like Python or Bash. - Experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, or Chef. - Experience working in a cloud-based analytics ecosystem (AWS, Snowflake, etc.) - Proficiency in Git for version control of infrastructure code and application code. - Familiarity with monitoring and observability tools such as Prometheus, Grafana, or ELK stack. - Knowledge of infrastructure security best practices and experience with security tools. - Experience with automated testing frameworks and tools. - Familiarity with database technologies and SQL query optimization. - Knowledge of serverless computing and experience with serverless platforms like AWS Lambda. - Hands-on experience working in Agile teams, following Agile processes and practices. - Self-directed learner with a strong desire to continuously improve coding skills. - Highly self-motivated to deliver both independently and with strong team collaboration. - Ability to creatively take on new challenges and work outside comfort zone. - Strong English communication skills (written & verbal) PREFERRED QUALIFICATIONS : - Advanced degree in Data Science, Computer Engineering, Computer Science, Information Systems, or a related discipline (preferred, but not required) - Familiarity with monitoring and observability tools such as Prometheus, Grafana, or ELK stack. - Knowledge of infrastructure security best practices and experience with security tools. - Experience with automated testing frameworks and tools. - Familiarity with database technologies and SQL query optimization. - Knowledge of serverless computing and experience with serverless platforms like AWS Lambda (ref:hirist.tech)

Location: in, IN

Posted Date: 11/22/2024