MLOPS/DEVOPS ENGINEER
Descrição da oferta de emprego
- 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.
Detalhes da oferta
- Caderno Nacional
- 06/12/2024
- 06/03/2025
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