<p>Design, develop, and test new cloud solutions and enhancements. Write efficient, clean, and maintainable code in Python and Infrastructure-as-Code (IaC) tools, with proper documentation and readability. Be passionate about building scalable and high-performing cloud-based platforms and services. Continuously explore opportunities for optimizing cloud performance, cost-efficiency, and reliability. Collaborate with cloud engineers, architects, cross-domain teams, and business stakeholders. Work closely with Product Managers to align cloud solutions with business needs. Participate in and contribute to cross-functional teams, including scrum of scrums, to ensure alignment and progress. Build, maintain, and enhance CI/CD pipelines for efficient deployment and automation. Monitor cloud system alerts, troubleshoot critical issues, and engage management/stakeholders for resolution. Participate in on-call rotations to ensure platform availability and address urgent issues. Oversee the maintenance and operations of cloud platforms to ensure smooth functioning and high availability. Challenge the status quo by proposing innovative solutions and improvements. Thrive in a fast-paced environment with the ability to deliver solutions based on high-level requirements. Mentor junior team members and foster a culture of knowledge-sharing and continuous learning. Minimum of 7 years of relevant work experience and a Bachelor's degree or equivalent experience. 5+ years of experience in cloud environments with a strong focus on scripting, infrastructure automation, and building scalable deployment pipelines. Must have strong hands-on experience with Linux system administration, troubleshooting, performance tuning, and shell scripting. Proficient in managing and maintaining containerized workloads using Amazon ECS and Amazon EKS, including scaling, patching, upgrades, and cluster maintenance. Experienced using MySQL and cloud-based relational database solutions like CloudSQL, Aurora, with knowledge of database replication and scalability patterns. Deep experience with Load Balancing (ELB/ILB), Reverse Proxies, CDNs, and application delivery optimization. Skilled in scripting with Python and Bash for automation, monitoring, and orchestration purposes. Experience with CI/CD automation frameworks and tools (e.g., GitHub Actions, Jenkins, Argo CD, GitLab CI). Strong experience designing, building, and automating full End-to-End SDLC workflows and Infrastructure as Code (IaC) using tools like Terraform or CloudFormation. Proven experience operating and scaling large-scale infrastructure platforms in cloud and hybrid environments. Solid understanding and operational experience with Kubernetes (EKS, GKE), including Helm, RBAC, autoscaling, and service mesh integrations. Deep understanding of AWS and/or GCP services including IAM, VPC, CloudWatch, CloudTrail, and security best practices. Good knowledge of testing frameworks and deployment techniques, with an emphasis on automation and reliability. Intermediate to advanced understanding of designing and developing data-intensive, distributed applications architected for high availability and scalability. Demonstrated ability to scope, define, and deliver new strategies, initiatives, and scalable capabilities aligned with business objectives. Excellent analytical thinking, problem-solving skills, and a strong focus on root cause analysis. Adept at debugging complex systems, application stack issues, and infrastructure bottlenecks. Passionate about test-driven development and automation-first culture. Experienced in working closely with business stakeholders to capture key requirements and translate them into scalable technical solutions. Proficient in developing automated unit, integration, and end-to-end functional tests. Strong collaboration experience with distributed engineering teams across multiple time zones. Excellent communication skills, both written and verbal, with the ability to clearly convey technical concepts to non-technical audiences.</p>