MLOps/DevOps Engineer (7-8 yrs)

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