Key Responsibilities:

- Architect and manage secure, scalable cloud infrastructure and services, focusing on automation, reliability, and proactive cost management to ensure efficient operations.
- Implement and refine observability and monitoring solutions using DataDog, ensuring proactive issue identification and efficient resource utilization.
- Lead CI/CD pipeline development, maintenance, and optimization with Jenkins, integrating AWS services to enhance development workflows and infrastructure automation.
- Drive the containerization and orchestration of applications using Kubernetes, enhancing scalability, deployment efficiency, and cost-effectiveness.
- Monitor application and infrastructure performance in AWS, applying tuning and optimizations to ensure optimal resource utilization and user experience while managing costs.
- Design and manage disaster recovery and backup strategies on AWS, prioritizing data integrity, system availability, and cost efficiency.
- Provide expert troubleshooting and problem-solving across various platforms and applications within AWS, aiming for minimal disruption and quick resolution.
- Ensure strict adherence to AWS security standards and compliance with data protection regulations, with a keen eye on cost implications.
- Keep abreast of recent cloud technologies and trends, recommending and implementing improvements for competitive advantage and cost savings.
- Mentor and support junior team members, fostering a culture of learning, collaboration, and cost-consciousness.
- Work closely with cross-functional teams to understand requirements and deliver AWS-based solutions that meet business objectives efficiently and cost-effectively





Qualifications:

- Bachelor s degree in Computer Science, Information Technology, or related field, or equivalent experience.
- A minimum of 3 years of experience in Site Reliability Engineering, Cloud Engineering, or a similar role, with a demonstrated track record of problem-solving in complex, cloud-based environments. This should include extensive experience with designing, implementing, and managing scalable, highly available, and fault-tolerant systems.
- Strong expertise in managing cloud environments (preferably in AWS), with hands-on experience in observability platforms such as DataDog.
- Proficiency in automation and scripting languages (e.g., Python, Bash) and infrastructure as code (IaC) tools (e.g., Terraform, Ansible).
- Extensive experience with CI/CD tools, notably Jenkins, and familiarity with containerization and orchestration technologies like Kubernetes.
- Solid understanding of networking, cloud security best practices, performance optimization, and cost management strategies.
- Demonstrated commitment to implementing industry-standard site reliability principles and a proactive approach to cost management in daily operations.
- Proven leadership skills and the ability to mentor junior team members, guide teams through complex operational challenges, and foster a culture of continuous improvement.
- Excellent verbal and written communication skills, with the ability to work effectively in a team environment and communicate complex technical concepts to a non-technical audience.

Skills: Cloud Engineering, Scripting, Site Reliability Engineering, Automation, Aws, Python

Experience: 4.00-8.00 Years

📌 Site Reliability Engineer 2 (Hyderabad)
🏢 ModMed Technologies India Private Lid
📍 Hyderabad