Senior Platform Engineer
Full Time
Senior Level
5+ years
Posted 3 weeks ago
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This role involves building, maintaining, and supporting GEICO's data ecosystem, focusing on Azure infrastructure, platform code development, and site reliability engineering. The engineer will operate discovery tools, analyze findings, and script automations to mitigate exposure risks and ensure platform compliance.
Responsibilities
- Build, maintain, and provide support for the data ecosystem including Azure infrastructure provisioning, development, and platform code development
- Operate discovery tools, analyze findings, validate results, prioritize remediation, and script automations
- Partner with infrastructure, platform, and security operations teams to mitigate potential exposure risks
- Actively mentor team members
- Provide full application and infrastructure development lifecycle support across all environments, including production support
- Lead projects from inception to implementation in a robust, timely, and cost-effective manner
- Provide direction and feedback during design/topology reviews
- Build partnerships with business stakeholders, development teams, architects, and senior engineers to design and implement automated enterprise solutions
- Provide guidance on enterprise security governance and respond to internal incidents
- Triage and remediate issues efficiently for maximum availability of the platform
Requirements
- Strong, proven experience as a System Engineer in a scalable production environment built on any major cloud platform
- 1+ Year of experience utilizing Ansible/AWS scheduler to schedule and auto implement vulnerabilities resolution process
- 4-5 years of experience supporting complex business applications in a large enterprise environment
- Proven experience with Microsoft Azure cloud environments & its offerings (PaaS, SaaS or IaaS) to design, build, implement and document enterprise solutions
- Proven experience in supporting Python and/or Bash development lifecycle for enterprise level applications in an Agile environment
- Proven experience with Linux and Windows Operating System concepts and commands
- Proven experience multi-tasking by balancing delivery of multiple simultaneous projects
- Proven experience implementing and maintaining open-source systems and tooling
- Proven experience in troubleshooting issues across multiple applications and platforms
- Willing and being able to provide support 24x7 for the platform on an on-call rotation basis
- Proven experience with Agile practices, methodologies (Sprint planning, Daily Scrums, Backlog grooming and updating ADO artifacts) and Atlassian Products (Jira, Confluence, Service Desk)
Qualifications
- Bachelor’s degree in computer science/information technology or related field (preferred)
- Strong, proven experience as a System Engineer in a scalable production environment built on any major cloud platform; 4-5 years of experience supporting complex business applications in a large enterprise environment
Nice to Have
- Proven experience in supporting cloud solutions across PaaS and IaaS platform for cloud services, AKS services using SQL, ASB, Cosmos DB, Redis Cache, App Insights, Log analytics and other 3rd party software’s like Splunk, Dynatrace etc.
- Working knowledge of networking concepts (DNS/DHCP/Firewalls/Sub-netting, etc.)
- Highly knowledgeable about Kubernetes internal workings and Helm chart development
- Kubernetes Certified
- Experience with Configuration Management systems (i.e. Puppet, Ansible, Chef)
- Automation of vulnerabilities resolution utilizing Ansible or similar tools through a scheduled method
- Proven experience in coaching and mentoring junior and offshore team members
- Experience with Big Data Technologies, Snowflake, Spark, Databricks, Kafka, Mongo DB, Postgres etc.
- Experience with streaming technologies such as Apache Kafka, Flink, or Spark Streaming
- Expertise in data governance, security, and compliance within large-scale data systems
Skills
Python
*
SQL
*
Splunk
*
Kubernetes
*
Agile
*
Jira
*
Confluence
*
Microsoft Azure
*
Snowflake
*
Databricks
*
Linux
*
Ansible
*
Cosmos DB
*
MongoDB
*
Kafka
*
Chef
*
Puppet
*
Postgres
*
Bash
*
Windows Operating System
*
Dynatrace
*
Helm
*
Spark
*
Redis Cache
*
Flink
*
Service Desk
*
Spark Streaming
*
AWS scheduler
*
* Required skills
Benefits
Tuition assistance
Performance-based incentives
Adoption Assistance
401K savings plan with 6% match (vested from day one)
Mental healthcare
Fertility assistance
Recognition-based incentives
About GEICO
GEICO is on a multi-year journey to transform the insurance industry with Artificial Intelligence, driven by the AI Modeling and Research team within the AI Org.
Finance
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