Senior Site Reliability Engineer 2

Your Responsibilities:

• Cloud Infrastructure Ownership: Design, deploy, and manage secure, scalable cloud infrastructure on AWS, ensuring high availability, fault tolerance, and cost optimization for business-critical applications.
• Monitoring Observability: Implement and enhance observability and monitoring solutions using tools like DataDog , ensuring proactive detection of issues and continuous performance improvements across AWS environments.
• CI/CD Pipeline Optimization: Lead the development, optimization, and maintenance of robust CI/CD pipelines using Jenkins and other automation tools, improving deployment velocity, reliability, and consistency.
• Containerization Orchestration: Manage and optimize containerized applications using Kubernetes , leading efforts to improve scalability, efficiency, and deployment processes.
• Performance Cost Management: Continuously monitor AWS infrastructure and application performance, identify optimization opportunities, and drive initiatives for both cost management and improved resource utilization.
• Disaster Recovery Backup Planning: Architect and implement disaster recovery and backup strategies on AWS, balancing cost-efficiency with robust data protection and system availability.
• Advanced Troubleshooting: Act as a key point of contact for complex troubleshooting across multiple platforms and applications. Resolve critical incidents swiftly to minimize service disruptions and downtime.
• Security Compliance: Ensure cloud infrastructure and operations follow AWS security best practices, data protection regulations (e.g., HIPAA, GDPR), and organizational security requirements.
• Automation Infrastructure as Code: Champion the use of Infrastructure as Code (IaC) tools like Terraform or Ansible , leading the automation of cloud operations and driving improvements in operational efficiency.
• Mentorship Team Leadership: Mentor and guide junior team members in technical skills, cloud technologies, and operational best practices. Foster a collaborative and continuous learning environment.
• Collaboration Across Teams: Work closely with cross-functional teams (e.g., DevOps, software engineering, product) to understand business requirements and deliver cloud-based solutions that align with strategic goals.

Skills Qualifications:

• Education: Bachelor s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
• Experience: 5-8 years of experience in Site Reliability Engineering, Cloud Engineering, or a similar technical role, with a strong focus on AWS infrastructure, monitoring, automation, and cloud-native technologies.
• Technical Skills:
• Extensive experience in managing and optimizing AWS environments , including EC2, S3, Lambda, RDS, etc.
• Proficiency in cloud monitoring tools like DataDog or similar platforms.
• Strong experience with Jenkins for CI/CD pipeline management and automation.
• In-depth knowledge of container orchestration and management with Kubernetes .
• Strong scripting skills in languages such as Python or Bash for automation and system management.
• Expertise in Infrastructure as Code (IaC) with tools like Terraform or Ansible .
• Knowledge of cloud security best practices, compliance frameworks (e.g., HIPAA, SOC 2), and performance optimization.
• Strong troubleshooting and problem-solving skills, particularly in complex cloud-based environments.
• Leadership Mentorship: Demonstrated ability to lead technical initiatives, mentor junior engineers, and promote a culture of collaboration and continuous improvement.
• Communication Skills: Excellent verbal and written communication skills, with the ability to explain complex technical issues to both technical and non-technical audiences.
• Problem-Solving Ownership: A proactive, results-driven attitude toward solving complex technical problems and owning the reliability of critical systems.

Nice-to-Haves:

• AWS Certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer).
• Experience with serverless architectures (e.g., AWS Lambda , API Gateway ).
• Familiarity with cloud-native tools like Kafka , Kinesis , or Redshift .
• Exposure to container security and advanced Kubernetes management practices.