Site Reliability Engineer, Enterprise Technology Services

As Site Reliability Engineer (SRE), you'll be part of the action-working closely with application teams and highly skilled engineers from diverse backgrounds to automate operations, optimize infrastructure, and troubleshoot issues in an exciting, fast-paced environment.
You'll play a vital role in ensuring that our systems are reliable, scalable, and high-performing.

This role is designed for driven individuals who:
- Love learning new technologies and thrive in solving complex challenges.
- Are independent, motivated, and excited to take on ambitious projects.
- Excel at collaborating with engineering teams and can stay calm under pressure.
- Have a passion for delivering quality, reliable solutions in a dynamic, high-energy workplace.
- Excel in critical thinking, writing solid and clean code, planning, documenting, and communicating effectively both within and outside the team.

Description

Build and maintain robust and highly available Continuous Integration pipelines.
Identify and implement automation solutions to eliminate repetitive manual processes.
Automate build & deployment processes.
Design and implement new software to streamline manual operations and enhance developer productivity for application management.
Troubleshoot and handle platform issues for both cloud and on premises infrastructures.
Improve operational readiness by performing root cause analysis of critical issues and creating long-term solutions.
Maintain scalable logging and monitoring infrastructure.

Minimum Qualifications

BS degree or higher in Computer Science or a related field
Minimum 1-2 years of experience in Site Reliability Engineering, or an Infrastructure-focused role.
Proficiency in one or more programming languages (eg. Java, Python).
Understanding of data structure and algorithms, software development life cycle (SDLC).
Knowledge on fundamentals of network, databases, system administration.
Understanding on version control systems like Github.
Familiarity with UNIX/Linux Operating Systems.
Course work on Web technologies, Machine Learning will be a plus.
Strong problem-solving, communication skills

Preferred Qualifications

Knowledgeable with container based technologies such as Docker, Kubernetes, or EKS.
Knowledgeable with modern web services architectures and cloud platforms such as AWS, GCP.
Exceptional analytical and troubleshooting skills in complex Unix/Linux systems environment and applications implementations.
Experience with telemetry and monitoring/observability tools such as Splunk, Grafana or Prometheus.
Ability to build tools from scratch.
Ability to work in a collaborative environment.