Senior Engineer - Data/ML Platforms SRE

$82,000 - $185,000/Yr

Geico - Chevy Chase, MD

Full-time - Senior

Chevy Chase, MD

Insurance Carriers and Related Activities

About the position

As a Senior Reliability Engineer, you will be instrumental in ensuring the robustness, availability, and performance of our Data Engineering and Machine Learning Platforms. This role involves close collaboration with cross-functional teams to enhance platform reliability and resilience, driving the transformation of our insurance business into a tech-focused organization committed to engineering excellence and continuous improvement.

Responsibilities

• Design, develop, and implement software solutions that enhance the reliability and fault tolerance of our modern data and machine learning platforms.
• Collaborate with software engineers to create robust, scalable, and efficient platforms.
• Proactively identify and address potential reliability bottlenecks and performance issues.
• Develop and maintain automated processes for deployment, scaling, and maintenance of platforms.
• Build effective monitoring systems to detect anomalies, performance degradation, and capacity issues.
• Implement proactive measures to prevent incidents.
• Participate in on-call rotations to respond to incidents promptly.
• Investigate and resolve storage-related incidents, ensuring minimal impact on services.
• Conduct post-incident reviews to learn from incidents and improve system reliability.
• Collaborate with infrastructure teams to plan for storage and compute capacity needs.
• Scale storage systems efficiently to accommodate growing demands.
• Optimize resource utilization while maintaining high availability.
• Document processes, procedures, and best practices.
• Share knowledge with colleagues to foster a culture of continuous improvement.
• Mentor junior engineers.

Requirements

• Bachelor's degree in computer science, Information Systems, or equivalent education or work experience.
• Minimum of 5 years of experience in Data Engineering pipeline related roles.
• Experience in Big Data ecosystem: ETL, tooling of Big Data Platform (Apache Spark, Airflow), Datalake, Synapse or Snowflake.
• Experience in Machine Learning ecosystem: training models, inference, experimentation, and pipelines infrastructure.
• Proficiency in modern on-prem object storage technologies (CEPH, MinIO) and its cloud equivalents (AWS S3, Azure Blob Storage, Google Cloud Storage).
• Experience with infrastructure automation, tooling, and configuration management frameworks (e.g., Puppet, Chef, Ansible, Terraform, Pulumi, etc.).
• Fluency in SQL and no-SQL.
• Knowledge of CS data structures and algorithms.
• Fluency and specialization with at least two modern languages such as Java, Python or Go, including object-oriented design.
• Experience with Prometheus, Loki, and Grafana.
• Experience with container orchestration platforms (Kubernetes, or Docker Swarm).
• Experience with Linux and open source ecosystem.
• Self-driven with an analytical, first principles approach.
• Ability to take a complex challenge and deliver quality simple solutions.
• Effective communication skills for cross-functional collaboration.

Benefits

• Premier Medical, Dental and Vision Insurance with no waiting period
• Paid Vacation, Sick and Parental Leave
• 401(k) Plan
• Tuition Reimbursement
• Paid Training and Licensures