Required Skills & Experience:

• 7-10 years of hands-on experience in DevOps and Cloud technologies

• Deep expertise in at least one major cloud platform: AWS, Azure, or GCP, and strong knowledge of infrastructure automation tools such as Terraform, Pulumi, CloudFormation, and Helm

• Proven experience in designing and managing high-scale production infrastructure systems and extensive hands-on experience with Kubernetes in production environments, including deployment, scaling, monitoring, and troubleshooting

• Solid debugging and troubleshooting skills across infrastructure and applications, deep working knowledge of Linux systems and networking concepts

• Proficiency in at least one scripting or programming language: Python, Shell, Go, or Java,

• Experience with monitoring and observability tools like DataDog, New Relic, ELK, Prometheus/Grafana

• Familiarity with modern cloud-native architecture patterns, including microservices and RESTful APIs, strong problem-solving mindset and ability to thrive in a fast-paced, dynamic environment

• Leadership skills to lead infrastructure automation, including provisioning, capacity planning, demand forecasting, and cost optimization, ability to design and implement secure, resilient, and highly scalable infrastructure

• Experience in setting high standards for engineering through code reviews, documentation, and building self-service automation tools, ability to participate in and drive blameless postmortem sessions and sustainable incident response practice

Key Responsibilities

• Design and implement secure, resilient, and highly scalable infrastructure, ensuring robust security measures are in place to protect against cyber attacks, lead infrastructure automation, including provisioning, capacity planning, demand forecasting, and cost optimization, ensuring efficiencies and cost-savings for the organization

• Develop automation tools and frameworks to improve system observability, reliability, availability, and performance, enabling faster resolution of issues and reduced downtime, ensure application scalability and performance by adhering to cloud-native architecture best practices

• Set high standards for engineering through code reviews, documentation, and building self-service automation tools, promoting a culture of continuous improvement and innovation, participate in and drive blameless postmortem sessions and sustainable incident response practice

• Collaborate with cross-functional teams to identify opportunities for automation and implement solutions that improve efficiency and reduce errors, develop and maintain documentation for automation tools and frameworks, ensuring that they are easily accessible and understandable by all stakeholders

• Stay up-to-date with the latest trends and technologies in DevOps and cloud computing, and make recommendations for process and tool improvements, participate in training and mentoring programs to help develop the skills of other team members

• Develop and maintain relationships with key stakeholders, including engineers, product managers, and executives, to ensure that automation efforts are aligned with business goals and objectives, lead or participate in the development of business cases for automation initiatives

• Identify and prioritize automation opportunities, and develop and implement plans to address them, collaborate with other teams to ensure that automation efforts are coordinated and aligned with overall business objectives

• Develop and maintain metrics and reporting to measure the effectiveness of automation efforts, and make recommendations for process and tool improvements based on data and analytics, participate in the development of the automation team's strategy and vision

• Lead or participate in the development of automation roadmaps, and make recommendations for process and tool improvements to ensure that the team is aligned with overall business objectives, collaborate with other teams to ensure that automation efforts are coordinated and aligned with overall business objectives