Site Reliability Engineer II

CIS Technologies Inc.

United States

2 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Artificial Intelligence BigQuery Cloud Computing Distributed Data Store Monitoring of Systems Python (Programming Language) Reliability Engineering Data Driven Tests Datadog Computer Networking Systems Google Cloud Large Language Models

+5 more

Data Management New Relic (SaaS) Dynatrace Servicenow Programming Languages

Job description

We are seeking a Site Reliability Engineer to join an SRE team focused on observability, monitoring, and technical consulting across Google Cloud Platform-based data platforms. This role is responsible for ensuring the availability, reliability, and performance of cloud and network systems and services through automation, monitoring, troubleshooting, and continuous optimization., * Collaborate with infrastructure teams to implement critical solutions by automating routine tasks.

Monitor and manage production environments, proactively identifying and resolving issues.
Participate in building advanced tooling for system access monitoring, log session recording, and reliability administration across multiple geographically distributed data centers.
Engage with engineering teams to improve on-call efficiencies, incident management, and post-mortem analysis.
Perform capacity planning and optimization to support growing demands and traffic patterns.
Maintain monitoring and alerting systems for proactive system health checks.
Continuously improve system performance, stability, and security through data-driven analysis and optimization.
Create and maintain comprehensive documentation and diagrams to facilitate knowledge sharing.
Work hands-on with cloud infrastructure, BigQuery workloads, CI/CD pipelines, and enterprise monitoring tools to maintain critical systems at scale.

Requirements

Bachelor’s degree.
4+ years of experience in IT.
3+ years of development experience.
Practitioner-level experience with at least one coding language or framework.
Hands-on experience with Google Cloud Platform (Google Cloud Platform).
Experience with BigQuery.
Experience with Dynatrace.
Proficiency with monitoring and observability tools, ideally Dynatrace or comparable tools such as Datadog or New Relic.
Familiarity with ITSM tools such as ServiceNow, including incident, problem, and change management., * Experience with Google Cloud Platform Cloud Run.
Experience with Python.
Strong troubleshooting and problem-solving skills.
Familiarity with AI tools, including agents, skills, LLMs, and copilots.
Experience defining and tracking SLAs, SLOs, and SLIs.