Site Reliability Engineer

Site Reliability Engineer (SRE 2/3)

Experience

Salary

Shift

Opportunity Type

Placement Type

(*Note: This is a requirement for one of Uplers' client)

What do you need for this opportunity?

Must have skills required:

About Role:

SRE 2/3 Site Reliability Engineering (SRE)

What will you do?

• Lead, mentor, and grow a team of 2-5 Site Reliability Engineers.
• Define, implement, and advocate SRE best practices like SLAs, SLOs, SLIs, error budgets, and chaos engineering.
• Build and maintain automated CI/CD pipelines and infrastructure using tools like Terraform, Jenkins, or GitHub Actions.
• Own the observability stackmonitoring, alerting, logging, and tracing across microservices and platforms.
• Improve reliability and scalability of services by proactively identifying bottlenecks and automating manual ops tasks.
• Drive incident response practices including on-call rotations, runbooks, and blameless postmortems.
• Ensure high availability and uptime across distributed systems hosted on AWS.
• Collaborate with cross-functional teams to ensure the architecture is cloud-native, secure, and fault-tolerant.
• Implement and optimize systems for cost-efficiency, auto-scaling, and performance.
• Contribute to open source or write technical blogs to share insights and practices with the broader tech community.
• This is a startup, so expect rapid changes and plenty of opportunities to take initiative and drive new initiatives.

Some Specific Requirements

• At least 4+ years of experience leading SRE/DevOps/Infrastructure teams, with 5+ years overall in backend, systems, or infrastructure roles.
• Strong experience managing distributed systems and microservices at scale.
• Good understanding of Linux, Networking, Load Balancing, and Security concepts.
• Hands-on experience with AWS services like EC2, ELB, AutoScaling, CloudFront, S3, CloudWatch.
• Experience with container technologies and orchestrationDocker and Kubernetes is a must.
• Strong proficiency with Infrastructure-as-Code tools like Terraform, CloudFormation, or Pulumi.
• Familiarity with observability tools like Prometheus, Grafana, ELK, or Datadog.
• Programming/scripting skills in Python, Go, Bash or similar for automation and tooling.
• Understanding of message queues and event-driven architectures using Kafka or RabbitMQ.
• Ability to manage incidents, write detailed postmortems, and improve reliability across teams and services.
• Comfortable working in a fast-paced environment with a strong culture of ownership and continuous improvement.

About Client:

Fynd

How to apply for this opportunity?

• Step 1: Click On Apply! And Register or Login on our portal.
• Step 2: Complete the Screening Form & Upload updated Resume
• Step 3: Increase your chances to get shortlisted & meet the client for the Interview!