Sr. Platform Engineer - Observability / Prometheus / Elasticsearch
Motorola SolutionsAbout the role
Company Overview
At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. Our critical communications, video security and command center technologies support public safety agencies and enterprises alike, enabling the coordination that’s critical for safer communities, safer schools, safer hospitals and safer businesses. Connect with a career that matters, and help us build a safer future.
Department Overview
The Cloud Platform and Services team is responsible for the development and operations of critical cloud infrastructure and platform services. This team is part of Motorola Solutions’ Video and Software division, which offers secure, reliable and efficient team communications, workflow and operational intelligence solutions for mission critical public safety and enterprise markets throughout the world. Our services leverage Cloud Computing infrastructure on Azure, AWS, and GCP to build at scale.
Job Description
Our Platform Engineers
develop common platform services that can be leveraged by our SaaS solutions
design and implement CI/CD pipelines with DevOps principles
instrument services according to Site Reliability Engineering best practices
support secure and highly available deployments of their work around the world
The right individual will teach best practices in automation and deployment processes and exemplify innovation through reduction of toil and improvement of daily work. Their efforts will increase the reliability of the platform that measures reliability. They will help to shape engineering culture and best practices across Motorola Solutions’ Video and Software organization.
Responsibilities
Deeply understand Prometheus, Thanos, Grafana, Elasticsearch, Kibana, etc
Scope, design, and develop custom solutions that leverage Elastic and/or Prometheus stacks on Kubernetes
Operate large Elasticsearch and Prometheus clusters (100s of nodes)
Minimize delivery time and increase developer productivity through automation
Work On-call shifts for services deployed and/or developed by the team
Maintain US Citizenship and US residency
Lead by example and participate in early morning daily standups (we work with worldwide teams)
Qualifications
Proven experience with building applications against third-party system APIs
Proven experience with cloud platforms (AWS/Azure/GCP) and their CLI tools
Comfortable switching between Java, Spring framework, Golang, and/or Python
Familiarity with modern development operations tooling (Trace based application performance monitoring, docker containers, and similar)
Mentoring experience with more junior team members and leading development work by example
Pipeline automation experience
Know the difference between SLOs, SLIs, and SLAs, and what good ones look like
Preferred Qualifications
A background in Linux/Unix Administration
Prior experience operating Elasticsearch and/or Prometheus clusters
Prior experience being on-call for services developed by the team
Demonstrated experience developing and deploying automation for services on Microsoft Azure, Amazon Web Services, or Google Cloud
Foundational Skills
Helm / Kubernetes / Docker
Infrastructure / Configuration as Code
CI/CD
Linux Administration and Shell Scripting
Java 21+ with Spring Boot, Go, and/or Python
Git
Working with Third Party Vendors and Open Source Projects
Vulnerability Analysis
Nice to have Skills:
Experience with event streaming platforms such as Kafka, AWS Kinesis, Azure Event Hubs, or GCP PubSub
IAM expertise (Azure Active Directory, AWS IAM or GCP IAM)
Mastery of Github Actions
Note: This is a hybrid role. The candidate must be in the office once a w
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