Site Reliability Engineer

You demonstrate passion for achieving the highest level of uptime, emphasizing scalability and high-performance. You have the zeal to enhance our systems observability ensuring that we have the necessary insights and tools to monitor, troubleshoot, and optimize our applications and infrastructure.

- Expertise in debugging and root causing issues with an instinct to automate repetitive tasks.

- Enhance System Observability: You will be implementing and maintaining robust observability solutions which provides real-time insights into the performance and health of our systems to proactively identify and address potential issues before they impact the users.

- Troubleshooting and Root Cause Analysis: Utilize your expertise to investigate and resolve incidents quickly during crisis situations, performing root cause analysis to prevent recurrence

- Automation: Leverage your coding skills to create tools and automating runbooks to improve efficiency.

- Documentation: Documenting and managing Runbooks and best practices to ensure knowledge sharing and team efficiency.

- Communication: Strong interpersonal skills and ability to work effectively across multiple business and technical teams.

Minimum Qualifications

• At least 4 years of prior demonstrated experience in Site Reliability Engineering, or an Infrastructure-focused role.
• Proficient in at-least one programming or scripting languages like Java, Python, Golang, Perl, Ruby, , etc., for developing tools in Observability, ETL, etc.
• First hand experience in debugging, performance tuning and root cause analysis of Applications.
• Support of internet-facing production services and distributed systems via deployments, onCall and Incident Management.
• Proficiency in implementing and coordinating telemetry using monitoring and observability tools like Splunk, Grafana, and Prometheus, or similar.
• Experience in solving and resolving issues in Kubernetes from both an operating system and application perspective.
• Strong understanding of database principles and working knowledge in distributed storage and infrastructural solutions such as Oracle, Cassandra, SOLR, and Kafka
• Good command on Linux, Networking concepts (TLS/SSL, DNS, Load Balancers, etc.,) and troubleshooting skills in large scale environments
• Deep understanding of basic security concepts and protocols - authentication, authorization, signing, encryption, SSL/TLS, SSH/SFTP, PKI, X509 certificates and PGP.
• Excellent knowledge of ITIL terminology for incident and problem management
• Bachelor of Science in Computer Science or other related discipline.

Preferred Qualifications

• Building and operating container orchestrating systems like Kubernetes or EKS.
• Experience with container management and micro-services architectures such as Docker in cloud and on-premises infrastructure.
• Hands-on experience in Java programming.
• Good experience in performance tuning databases.
• Understanding of Git, CI/CD, Release Engineering and DevOps.
• Strong Load Balancing (Nginx, Envoy, NetScaler) experience is a huge plus.
• Familiarity with Modern web services architectures, cloud platforms such as AWS, GCP, Azure and distributed storage systems (ScaleIO, Amazon S3).
• Understanding of security standards, policies, and cryptography.
• Track record of excellent interpersonal, analytical, and communication skills.