AWS & GCP Engineering Team Lead
3 weeks ago
Job Title: AWS & GCP Engineering Team Lead
Location: Hyderabad
Job Type: Full-time
Job Summary:
As the AWS & GCP Team Lead, you will be responsible for leading and mentoring a team of Site Reliability Engineers to ensure the reliability and performance of our cloud infrastructure across AWS and GCP. You will work closely with cross-functional teams to build resilient, automated systems while driving a culture of continuous improvement. This role requires expertise in both AWS and GCP, leadership experience, and a passion for building highly available systems.
Key Responsibilities:
- Leadership & Team Development:
- Lead, mentor, and manage a team of Engineers focused on AWS and GCP infrastructure, fostering a culture of collaboration, innovation, and operational excellence.
- Develop and communicate clear goals and priorities for the team, ensuring alignment with business objectives.
- Provide guidance and support in resolving complex technical issues, promoting best practices, and facilitating knowledge sharing within the team.
- Reliability & Scalability:
- Own the availability, reliability, and scalability of core services across AWS and GCP.
- Implement and monitor service-level objectives (SLOs), service-level indicators (SLIs), and error budgets to measure and improve system reliability.
- Collaborate with engineering teams to design and deploy scalable, high-performance cloud solutions that meet both operational and business needs.
- Automation & Infrastructure Management:
- Lead the automation of operational workflows, including provisioning, deployment, monitoring, and incident management for both AWS and GCP.
- Drive the adoption of Infrastructure as Code (IaC) tools and practices (e.g., Terraform, AWS CloudFormation, GCP Deployment Manager).
- Oversee the implementation of CI/CD pipelines and deployment strategies to ensure faster and more reliable releases.
- Incident Management & Resolution:
- Lead incident management efforts, ensuring prompt response to critical incidents and minimizing downtime.
- Implement post-incident reviews (PIRs) to identify root causes, improve processes, and share learnings across teams.
- Continuously improve the incident response process to reduce MTTR (Mean Time to Recovery) and improve system stability.
- Collaboration & Communication:
- Collaborate with engineering, product, and DevOps teams to integrate SRE best practices into the software development lifecycle.
- Communicate effectively with technical and non-technical stakeholders, providing regular updates on service reliability, incident status, and team achievements.
- Monitoring & Observability:
- Ensure comprehensive monitoring and observability practices across AWS and GCP environments using tools such as AWS CloudWatch, GCP Stack driver, Prometheus, Grafana, or ELK stack.
- Proactively identify performance bottlenecks and system failures, using metrics and logs to drive improvements in system reliability.
- Continuous Improvement:
- Advocate for continuous improvement in operational practices, tooling, and processes.
- Stay current on industry trends, new AWS and GCP offerings, and best practices for reliability engineering.
Qualifications:
- Education:
- Bachelor's degree in computer science, Engineering, or related field (or equivalent practical experience).
- Experience:
- 10+ years in IT operations with 5+ years of experience in Site Reliability Engineering (SRE), DevOps, or infrastructure roles, with deep knowledge of both AWS and GCP cloud environments.
- 5+ years of experience in a leadership or management role, with a track record of building and leading high-performing teams.
- Proven expertise in designing, deploying, and maintaining highly available, scalable systems on AWS and GCP.
- Hands-on experience with cloud services such as EC2, S3, Lambda, GKE, Cloud Functions, Cloud Storage, BigQuery, and Pub/Sub.
- Technical Skills:
- Expertise in automation tools such as Terraform, CloudFormation, or Google Deployment Manager.
- Proficiency in scripting languages (e.g., Python, Bash, PowerShell) for automation and orchestration.
- Experience with containerization and orchestration, including AWS ECS, EKS, and GCP GKE.
- Solid understanding of CI/CD pipelines, DevOps practices, and deployment strategies across AWS and GCP.
- Experience with monitoring and logging tools like AWS CloudWatch, Stackdriver, Prometheus, Grafana, or ELK stack.
- Soft Skills:
- Strong leadership skills with a focus on team development, mentorship, and fostering a collaborative environment.
- Excellent communication skills, capable of articulating complex technical concepts to both technical and non-technical audiences.
- Problem-solving mindset, with a focus on continuous improvement, risk management, and high availability.
- Certifications (Preferred):
- AWS Certified Solutions Architect – Professional or AWS Certified DevOps Engineer – Professional.
- Google Cloud Professional Cloud Architect or Professional Cloud DevOps Engineer.
- Google Cloud Associate Cloud Engineer.
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