200+ applicants

Company

Original Job Post

GEICO · 3 days ago

Senior to Principal Software Engineer - AI and Platform

United States

Full-time

Remote

Senior Level

6+ years exp

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Responsibilities

Scope, design, and build systems with high scalability, reliability, and resilience

Support platform initiatives geared toward model deployment, serving, inferencing, and/or monitoring solutions

Research and implement a variety of cloud and/or open-source tools and services across the Model development life cycle ranging from IaC (Infrastructure as code) to self-hosted infrastructure implementation

Engage with partner teams to debug production issues, pipeline failures, and system latencies

Engage in cross-functional collaboration with teams of developers, data scientists, product managers, network and security, and other areas throughout the entire MDLC lifecycle

Lead in design sessions and code reviews with peers

Mentor other engineers

Consistently share best practices and improve processes within and across teams

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonJavaScalable SystemsContainerization TechnologiesDockerKubernetesOpen-Source SolutionsDev-Ops PracticesCI/CD PipelinesYAMLMonitoringTroubleshootingGitCloud PlatformsAzureAWSGoogle CloudNetworking ConceptsBig Data PlatformsSnowflakeADLSDatabricksCosmos DBBig Data Processing FrameworksSparkScalaProblem-SolvingCommunicationAnalyticalMachine Learning

Required

Minimum 6 years of technology experience with a focus on developing scalable and reliable software systems and/or applications

Proficiency in programming languages such as Python or Java (at least one is required, ideally python)

Proficiency in designing and implementing scalable and reliable systems/platforms

Experience with containerization technologies such as Docker and container orchestration platforms like Kubernetes

Experience onboarding, implementing open-source solutions in existing / new workflows

Experience with Dev-ops practices and tools for building and deploying production grade code

Experience with CI/CD pipelines using YAML

Experience Monitoring pipelines for failures and diagnosing/resolving problems

Experience with version control systems such as git

Experience with Cloud Platforms such as Azure, AWS, and Google Cloud

Working knowledge of networking concepts (DNS/DHCP/Firewalls/Sub-netting, etc.)

Knowledge of Big Data platforms such as Snowflake, ADLS, Databricks, Cosmos DB

Knowledge of Big Data processing frameworks and languages such as Spark, Scala

Excellent communication and analytical skills, and proven problem-solving ability

Preferred

Experience with machine learning model serving frameworks and machine learning platforms such as Jupyter notebooks, MLFlow, Azure Machine Learning etc.

Experience with at least one IaC (Infrastructure as code) provider, preferably Terraform

Experience with implementing monitoring and alerting systems to ensure performance and reliability of deployed models

Experience with infrastructure optimization for cost efficiency, scalability, and reliability

Experience with MLOps practices such as model versioning, model monitoring, and model governance

Knowledge of microservice architecture and distributed systems

Experience performing Root Cause Analysis (RCA) for application and infrastructure related issues

Company

GEICO

Glassdoor

2.7

GEICO, Government Employees Insurance Company, has been providing affordable auto insurance since 1936. It is a sub-organization of Berkshire Hathaway.

Founded in 1936

Chase, Maryland, USA

10,001+ employees