The Site Realibility Engineer role at Precisely will span across software development and operations engineering. This role will be instrumental in building stable, scalable, and reliable systems for a growing set of Native SaaS suite of products. This role will help to reduce the friction for developing and deploying these products for our engineering team. You will help us build and best-in-class Cloud Platform and services. You will be required to be part of the incident management process to maintain the predefined SLAs and communication with internal and external stakeholders.
Responsibilities Proactively monitor availability and performance of the cloud offerings using key tools and also take a holistic view of system health.
Participate and be responsible for creating and maintaining well defined runbook and playbook recipes for quick MTTRs.
Effectively and quickly respond to Monitoring alerts and incident tickets coming into Site Reliability team.
Improve reliability, quality, and time-to-market of our suite of software solutions.
Gather and analyse metrics from systems and services to assist in performance tuning and fault finding with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating to continually improve.
Partner with development teams to reduce day to day toil, create sustainable systems and services through automation at all stages of the engineering and deployment process.
Participate in system design consulting, platform management, and capacity planning.
Balance feature development speed and reliability with well-defined SLIs and SLOs. Define, measure, and optimize SLIs and SLOs.
Excellent communication skills; collaborative and personable.
Qualifications B.E / B.Tech in Computer Science or related.
5 to 10 years experience in developing Enterprise Software.
2 Years as SRE experience is mandatory.
Cloud Computing -SaaS, PaaS, IaaS fundamentals and experience designing and implementing SaaS solutions.
Hands on experience with IaC(Infrastructure as Code), CI/CD and modern tooling such as Terraform, CDK, CloudFormation, Gitlab CI.
Cloud Certification and Experience in AWS/Azure/GCP.
Experience in Windows, Unix environment.
Experience managing container-based services in production using tools such as Docker, Kubernetes.
Ability to script (or code ideally) with (Shell Scripting, Python, Go).
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