Senior Site Reliability Engineer – AWS, AI/ML, APM

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October 26

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Granicus

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Government • SaaS • Compliance

Granicus is a company focused on transforming the way governments interact with their constituents through digital services and technology solutions. It provides the Government Experience Cloud to improve service delivery, community engagement, and operational efficiency across local, state, and federal governments. Granicus offers tools for agenda and meeting management, digital communication and engagement, public records management, and more, all designed to enhance customer experience and foster transparent and equitable interactions between governments and the people they serve.

501 - 1000 employees

Founded 1999

🏛️ Government

☁️ SaaS

📋 Compliance

📋 Description

• Provide production support on a shift according to the team on-call roster. • Work on the customer and internal engineering/implementation team raised tickets while not on-call for production support. • Work on SREs backlog items. • Continuously monitor the health and performance of our services, systems, and infrastructure. • Respond to alerts and incidents promptly to ensure high availability. • Develop and maintain automation scripts and tools to streamline operations and reduce manual intervention. • Assist in troubleshooting and resolving incidents, performing root cause analysis, and implementing long-term fixes to prevent recurrence. • Participate in designing and implementing system improvements to enhance reliability, scalability, and performance. • Work closely with software engineers to understand application requirements, provide feedback on design and architecture, and support deployment and release processes. • Create and maintain documentation for processes, procedures, and troubleshooting guides to ensure knowledge sharing within the team. • Assist in capacity planning activities to anticipate future needs and ensure that our infrastructure can handle growth. • Implement and adhere to security best practices to protect our systems and data.

🎯 Requirements

• 5+ years in site reliability engineering, system administration, or a similar role, with a proven track record of managing large-scale, high-availability systems. • Experience supporting AI/ML infrastructure, including model deployment, inference optimization, and integration with services like AWS Bedrock is highly desirable. • Expertise in Linux/Unix systems, and cloud platforms (AWS, Azure, or Google Cloud). • Strong proficiency in scripting languages (Python, Bash, Ruby) and programming languages (Go, Java, C++). • Familiarity with AI/ML operations, including model lifecycle management, vector databases, and inference performance tuning. • Experience with the ELK Stack (Elasticsearch, Logstash, Kibana) for centralized logging, monitoring, and observability. • Experience with configuration management tools (Ansible, Chef, Puppet). • Exposure to AI/ML toolchains, including AWS Bedrock, SageMaker, and LLMOps frameworks. • Relevant certifications such as AWS Certified DevOps Engineer, AWS Certified Machine Learning – Specialty, Google Cloud Professional DevOps Engineer, or similar are a plus.

🏖️ Benefits

• Flexible Time Off – Take the time you need to rest, recharge, and live your life. • Company-Wide Wellbeing Days – Paid days off to unplug and focus on your mental health. • Work From Home Reimbursement – Support a productive home office environment. • Multiple Health Plan Options – Including a 100% employer-paid plan. • Employer HSA Contributions – When enrolled in a High-Deductible Health Plan. • Fitness Reimbursement Program – Stay active, your way. • On-Demand Mental Health Support – Access to Headspace and other wellness tools. • Paid Parental Leave – For both birthing and non-birthing parents. • Traditional & Roth 401(k) – With a generous company match. • Life & AD&D Insurance – 100% employer-paid coverage for peace of mind. • Online Learning Platforms – Fuel your professional development. • Competitive Salary & Bonuses – Your contributions are valued and rewarded.