GEICO . For more information, please . Staff Machine Learning Engineer Overview: single AI/Machine Learning team, responsible for the tech design and tech health of the team. You will build and architect scalable and reliable AIML solutions that align with the company's tech paved path and stakeholder requirements. This role requires a minimum of 6 years of relevant experience. As a Staff Machine Learning Engineer, you will be the overall tech lead of a Key Responsibilities: System development : Architect scalable and reliable AIML solutions that align with the company's tech paved path and stakeholder requirements. Minimal Qualifications: At least 6 years of hands-on experience in machine learning and software engineering. Technical Skills: Deep proficiency in programming languages such as Python, Java, or similar, with a strong emphasis on coding excellence.Proficiency in AIML frameworks such as TensorFlow, PyTorch, Scikit-learn, Langchain, langraph, etc.Experience with SQL, Spark, and scripting languages such as Python for data processing and model development. Proven experience in deploying machine learning systems in a production environment, ensuring scalability, reliability, and high availability. Core Engineering Skills: Extensive experience with object-oriented design (OOD), design patterns, and writing clean, maintainable code. Strong understanding of system architecture, performance optimization, and the ability to design fault-tolerant systems that handle large-scale data and high-volume requests. Experience designing, building, and maintaining ETL pipelines, streamlining data collection, transformation, and storage for model development. Experience setting up monitoring and logging systems for tracking model performance in production environments and ensuring efficient resource utilization. Preferred Qualifications : Experience utilizing both open source (e.g. llama, Qwen, Mistral) and proprietary (e.g. GPT, Claude) LLMs for appropriate tasksExperience with tools that power LLM-based AI agents: eval frameworks, agent tooling, RAG pipelines, prompt engineering, etc.Experience building LLM-based AI agent workflows via both no code/low code and traditional high-code development environmentsExperience in ideating, integrating, and designing applications and frontends using React or similar.If you are passionate about pushing the boundaries of machine learning technology, thrive in a hands-on technical leadership role, and enjoy solving complex, large-scale problems, we encourage you to apply. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.
02/12/2026
Full time
GEICO . For more information, please . Staff Machine Learning Engineer Overview: single AI/Machine Learning team, responsible for the tech design and tech health of the team. You will build and architect scalable and reliable AIML solutions that align with the company's tech paved path and stakeholder requirements. This role requires a minimum of 6 years of relevant experience. As a Staff Machine Learning Engineer, you will be the overall tech lead of a Key Responsibilities: System development : Architect scalable and reliable AIML solutions that align with the company's tech paved path and stakeholder requirements. Minimal Qualifications: At least 6 years of hands-on experience in machine learning and software engineering. Technical Skills: Deep proficiency in programming languages such as Python, Java, or similar, with a strong emphasis on coding excellence.Proficiency in AIML frameworks such as TensorFlow, PyTorch, Scikit-learn, Langchain, langraph, etc.Experience with SQL, Spark, and scripting languages such as Python for data processing and model development. Proven experience in deploying machine learning systems in a production environment, ensuring scalability, reliability, and high availability. Core Engineering Skills: Extensive experience with object-oriented design (OOD), design patterns, and writing clean, maintainable code. Strong understanding of system architecture, performance optimization, and the ability to design fault-tolerant systems that handle large-scale data and high-volume requests. Experience designing, building, and maintaining ETL pipelines, streamlining data collection, transformation, and storage for model development. Experience setting up monitoring and logging systems for tracking model performance in production environments and ensuring efficient resource utilization. Preferred Qualifications : Experience utilizing both open source (e.g. llama, Qwen, Mistral) and proprietary (e.g. GPT, Claude) LLMs for appropriate tasksExperience with tools that power LLM-based AI agents: eval frameworks, agent tooling, RAG pipelines, prompt engineering, etc.Experience building LLM-based AI agent workflows via both no code/low code and traditional high-code development environmentsExperience in ideating, integrating, and designing applications and frontends using React or similar.If you are passionate about pushing the boundaries of machine learning technology, thrive in a hands-on technical leadership role, and enjoy solving complex, large-scale problems, we encourage you to apply. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.
GEICO . For more information, please .Senior Staff Engineer page is loaded Senior Staff Engineerremote type: Hybridlocations: Palo Alto, CA: Seattle, WAtime type: Full timeposted on: Posted Todayjob requisition id: R At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. Position Summary GEICO is seeking an experienced Engineer with a passion for building high-performance, low maintenance, zero-downtime platforms, and applications. You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization with engineering excellence as its mission, while co-creating the culture of psychological safety and continuous improvement.Position DescriptionOur Senior Staff Engineer works with our Staff and Sr. Engineers to innovate and build new systems, improve and enhance existing systems and identify new opportunities to apply your knowledge to solve critical problems. You will lead the strategy and execution of a technical roadmap that will increase the velocity of delivering products and unlock new engineering capabilities. The ideal candidate has deep technical expertise in their domain.Position ResponsibilitiesAs a Senior Staff Engineer, you will: Focus on multiple areas and provide technical and thought leadership to the enterprise Collaborate with product managers, team members, customers, and other engineering teams to solve our toughest problems Develop and execute technical software development strategy for a variety of domains Accountable for the quality, usability, and performance of the solutions Utilize programming languages like Python, C# or other object-oriented languages, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services Be a role model and mentor, helping to coach and strengthen the technical expertise and know-how of our engineering and product community. Influence and educate executives Consistently share best practices and improve processes within and across teams Analyze cost and forecast, incorporating them into business plans Determine and support resource requirements, evaluate operational processes, measure outcomes to ensure desired results, and demonstrate adaptability and sponsoring continuous learningQualifications Exemplary ability to design, perform experiments, and influence engineering direction and product roadmap Experience partnering with engineering teams and transferring research to production Track-record of publications history in credible conferences and journals Experience with continuous delivery and infrastructure as code In-depth knowledge of CS data structures and algorithms Experience solving analytical problems with quantitative approaches Ability to excel in a fast-paced, startup-like environment Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication) Fluency and Specialization with at least two modern languages such as Java, C++, Python or C# including object-oriented design Experience with Micro-services oriented architecture and extensible REST APIs Experience building the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems Fluency in DevOps Concepts, Cloud Architecture, and Azure DevOps Operational Framework Experience in leveraging PowerShell scripting Experience in existing Operational Portals such as Azure Portal Experience with application monitoring tools and performance assessments In depth knowledge of Datacenter structure, capabilities and offerings, including the Azure platform, and its native services including the Azure platform and its native services Experience in security protocols and products: Understanding of Active Directory, Windows Authentication, SAML, OAuth Experience in Azure Network (Subscription, Security zoning, etc.)Experience 10+ years of professional software development experience within a Java framework (J2EE, web containers and Java) 8+ years of experience with architecture and design 6+ years of experience in open-source frameworks 4+ years of experience with AWS, GCP, Azure, or another cloud serviceEducation Bachelor's degree in Computer Science, Information Systems, or equivalent education or work experienc Annual Salary $130,000.00 - $260,000.00The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations.At this time, GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs.We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender,
02/12/2026
Full time
GEICO . For more information, please .Senior Staff Engineer page is loaded Senior Staff Engineerremote type: Hybridlocations: Palo Alto, CA: Seattle, WAtime type: Full timeposted on: Posted Todayjob requisition id: R At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. Position Summary GEICO is seeking an experienced Engineer with a passion for building high-performance, low maintenance, zero-downtime platforms, and applications. You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization with engineering excellence as its mission, while co-creating the culture of psychological safety and continuous improvement.Position DescriptionOur Senior Staff Engineer works with our Staff and Sr. Engineers to innovate and build new systems, improve and enhance existing systems and identify new opportunities to apply your knowledge to solve critical problems. You will lead the strategy and execution of a technical roadmap that will increase the velocity of delivering products and unlock new engineering capabilities. The ideal candidate has deep technical expertise in their domain.Position ResponsibilitiesAs a Senior Staff Engineer, you will: Focus on multiple areas and provide technical and thought leadership to the enterprise Collaborate with product managers, team members, customers, and other engineering teams to solve our toughest problems Develop and execute technical software development strategy for a variety of domains Accountable for the quality, usability, and performance of the solutions Utilize programming languages like Python, C# or other object-oriented languages, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services Be a role model and mentor, helping to coach and strengthen the technical expertise and know-how of our engineering and product community. Influence and educate executives Consistently share best practices and improve processes within and across teams Analyze cost and forecast, incorporating them into business plans Determine and support resource requirements, evaluate operational processes, measure outcomes to ensure desired results, and demonstrate adaptability and sponsoring continuous learningQualifications Exemplary ability to design, perform experiments, and influence engineering direction and product roadmap Experience partnering with engineering teams and transferring research to production Track-record of publications history in credible conferences and journals Experience with continuous delivery and infrastructure as code In-depth knowledge of CS data structures and algorithms Experience solving analytical problems with quantitative approaches Ability to excel in a fast-paced, startup-like environment Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication) Fluency and Specialization with at least two modern languages such as Java, C++, Python or C# including object-oriented design Experience with Micro-services oriented architecture and extensible REST APIs Experience building the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems Fluency in DevOps Concepts, Cloud Architecture, and Azure DevOps Operational Framework Experience in leveraging PowerShell scripting Experience in existing Operational Portals such as Azure Portal Experience with application monitoring tools and performance assessments In depth knowledge of Datacenter structure, capabilities and offerings, including the Azure platform, and its native services including the Azure platform and its native services Experience in security protocols and products: Understanding of Active Directory, Windows Authentication, SAML, OAuth Experience in Azure Network (Subscription, Security zoning, etc.)Experience 10+ years of professional software development experience within a Java framework (J2EE, web containers and Java) 8+ years of experience with architecture and design 6+ years of experience in open-source frameworks 4+ years of experience with AWS, GCP, Azure, or another cloud serviceEducation Bachelor's degree in Computer Science, Information Systems, or equivalent education or work experienc Annual Salary $130,000.00 - $260,000.00The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations.At this time, GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs.We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender,
A leading insurance company is seeking a Staff Machine Learning Engineer to architect scalable AIML solutions and lead technical initiatives. The ideal candidate will have over 6 years of hands-on experience in machine learning and software engineering, deep programming proficiency, and a strong understanding of system architecture. This role offers a comprehensive rewards program, workplace flexibility, and opportunities for career advancement.
02/12/2026
Full time
A leading insurance company is seeking a Staff Machine Learning Engineer to architect scalable AIML solutions and lead technical initiatives. The ideal candidate will have over 6 years of hands-on experience in machine learning and software engineering, deep programming proficiency, and a strong understanding of system architecture. This role offers a comprehensive rewards program, workplace flexibility, and opportunities for career advancement.
GEICO . For more information, please . At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. GEICO AI ML Infrastructure team is seeking an exceptional Senior ML Platform Engineer to build and scale our machine learning infrastructure with a focus on Large Language Models (LLMs) and AI applications. This role combines deep technical expertise in cloud platforms, container orchestration, and ML operations with strong leadership and mentoring capabilities. You will be responsible for designing, implementing, and maintaining scalable, reliable systems that enable our data science and engineering teams to deploy and operate LLMs efficiently at scale. The candidate must have excellent verbal and written communication skills with a proven ability to work independently and in a team environment.KEY RESPONSIBILITIESML Platform & Infrastructure Design and implement scalable infrastructure for training, fine-tuning, and serving open source LLMs (Llama, Mistral, Gemma, etc.) Architect and manage Kubernetes clusters for ML workloads, including GPU scheduling, autoscaling, and resource optimization Design, implement, and maintain feature stores for ML model training and inference pipelines Build and optimize LLM inference systems using frameworks like vLLM, TensorRT-LLM, and custom serving solutions Ensure 99.9%+ uptime for ML platforms through robust monitoring, alerting, and incident response procedures Design and implement ML platforms using DataRobot, Azure Machine Learning, Azure Kubernetes Service (AKS), and Azure Container Instances Develop and maintain infrastructure using Terraform, ARM templates, and Azure DevOps Implement cost-effective solutions for GPU compute, storage, and networking across Azure regions Ensure ML platforms meet enterprise security standards and regulatory compliance requirements Evaluate and potentially implement hybrid cloud solutions with AWS/GCP as backup or specialized use casesDevOps & Platform Engineering Design and maintain robust CI/CD pipelines for ML model deployment using Azure DevOps, GitHub Actions, and MLOps tools Implement automated model training, validation, deployment, and monitoring workflows Set up comprehensive observability using Prometheus, Grafana, Azure Monitor, and custom dashboards Continuously optimize platform performance, reducing latency and improving throughput for ML workloads Design and implement backup, recovery, and business continuity plans for ML platformsTechnical Leadership & Mentoring Mentor junior engineers and data scientists on platform best practices, infrastructure design, and ML operations Lead comprehensive code reviews focusing on scalability, reliability, security, and maintainability Design and deliver technical onboarding programs for new team members joining the ML platform team Establish and champion engineering standards for ML infrastructure, deployment practices, and operational procedures Create technical documentation, runbooks, and deliver internal training sessions on platform capabilitiesCross-Functional Collaboration Work closely with data scientists to understand requirements and optimize workflows for model development and deployment Collaborate with product engineering teams to integrate ML capabilities into customer-facing applications Support research teams with infrastructure for experimenting with cutting-edge LLM techniques and architectures Present technical solutions and platform roadmaps to leadership and cross-functional stakeholdersREQUIRED QUALIFICATIONSExperience & Education Bachelor's degree in computer science, Engineering, or related technical field (or equivalent experience) 5+ years of software engineering experience with focus on infrastructure, platform engineering, or MLOps 2+ years of hands-on experience with machine learning infrastructure and deployment at scale 1+ years of experience working with Large Language Models and transformer architecturesTechnical Skills - Core Requirements Proficient in Python; strong skills in Go, Rust, or Java preferred Proven experience working with open source LLMs (Llama 2/3, Qwen, Mistral, Gemma, Code Llama, etc.) Proficient in Kubernetes including custom operators, helm charts, and GPU scheduling Deep expertise in Azure services (AKS, Azure ML, Container Registry, Storage, Networking) Experience implementing and operating feature stores (Chronon, Feast, Tecton, Azure ML Feature Store, or custom solutions) Hands-on experience with inference optimization using vLLM, TensorRT-LLM, Triton Inference Server, or similarDevOps & Platform Skills Advanced experience with Azure DevOps, GitHub Actions, Jenkins, or similar CI/CD platforms Proficiency with Terraform, ARM templates, Pulumi, or CloudFormation Deep understanding of Docker, container optimization, and multi-stage builds Experience with Prometheus, Grafana, ELK stack, Azure Monitor, and distributed tracing Knowledge of both SQL and NoSQL databases, data warehousing, and vector databasesLeadership & Soft Skills Demonstrated track record of mentoring engineers and leading technical initiatives Experience leading design reviews with focus on compliance, performance, and reliability Excellent ability to explain complex technical concepts to diverse audiences Strong analytical and troubleshooting skills for complex distributed systems Experience managing cross-functional technical projects and coordinating with multiple stakeholdersPREFERRED QUALIFICATIONSAdvanced Experience Master's degree in computer science, Machine Learning, or related field 6+ years of platform engineering or infrastructure experience Experience with Staff Engineer or Tech Lead roles in ML/AI organizations Background in distributed systems and high-performance computing Open-source contributions to ML infrastructure projects or LLM frameworksSpecialized Skills Multi-Cloud Experience: Hands-on experience with Azure, AWS (SageMaker, EKS) and/or GCP (Vertex AI, GKE) Experience with specialized hardware (A100s, H100s, TPUs, TEEs) and optimization RLHF & Fine-tuning: Experience with Reinforcement Learning from Human Feedback and LLM fine-tuning workflows Experience with Milvus, Pinecone, Weaviate, Qdrant, or similar vector storage solutions Deep experience with MLflow, Kubeflow, DataRobot, or similar platformsIndustry Knowledge Understanding of AI safety principles, model governance, and regulatory compliance Background in regulated industries with understanding of data privacy requirements Experience supporting ML research teams and academic partnerships Deep understanding of GPU optimization, memory management, and high-throughput systems Annual Salary $105,000.00 - $300,000.00The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations.At this time, GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when
02/12/2026
Full time
GEICO . For more information, please . At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. GEICO AI ML Infrastructure team is seeking an exceptional Senior ML Platform Engineer to build and scale our machine learning infrastructure with a focus on Large Language Models (LLMs) and AI applications. This role combines deep technical expertise in cloud platforms, container orchestration, and ML operations with strong leadership and mentoring capabilities. You will be responsible for designing, implementing, and maintaining scalable, reliable systems that enable our data science and engineering teams to deploy and operate LLMs efficiently at scale. The candidate must have excellent verbal and written communication skills with a proven ability to work independently and in a team environment.KEY RESPONSIBILITIESML Platform & Infrastructure Design and implement scalable infrastructure for training, fine-tuning, and serving open source LLMs (Llama, Mistral, Gemma, etc.) Architect and manage Kubernetes clusters for ML workloads, including GPU scheduling, autoscaling, and resource optimization Design, implement, and maintain feature stores for ML model training and inference pipelines Build and optimize LLM inference systems using frameworks like vLLM, TensorRT-LLM, and custom serving solutions Ensure 99.9%+ uptime for ML platforms through robust monitoring, alerting, and incident response procedures Design and implement ML platforms using DataRobot, Azure Machine Learning, Azure Kubernetes Service (AKS), and Azure Container Instances Develop and maintain infrastructure using Terraform, ARM templates, and Azure DevOps Implement cost-effective solutions for GPU compute, storage, and networking across Azure regions Ensure ML platforms meet enterprise security standards and regulatory compliance requirements Evaluate and potentially implement hybrid cloud solutions with AWS/GCP as backup or specialized use casesDevOps & Platform Engineering Design and maintain robust CI/CD pipelines for ML model deployment using Azure DevOps, GitHub Actions, and MLOps tools Implement automated model training, validation, deployment, and monitoring workflows Set up comprehensive observability using Prometheus, Grafana, Azure Monitor, and custom dashboards Continuously optimize platform performance, reducing latency and improving throughput for ML workloads Design and implement backup, recovery, and business continuity plans for ML platformsTechnical Leadership & Mentoring Mentor junior engineers and data scientists on platform best practices, infrastructure design, and ML operations Lead comprehensive code reviews focusing on scalability, reliability, security, and maintainability Design and deliver technical onboarding programs for new team members joining the ML platform team Establish and champion engineering standards for ML infrastructure, deployment practices, and operational procedures Create technical documentation, runbooks, and deliver internal training sessions on platform capabilitiesCross-Functional Collaboration Work closely with data scientists to understand requirements and optimize workflows for model development and deployment Collaborate with product engineering teams to integrate ML capabilities into customer-facing applications Support research teams with infrastructure for experimenting with cutting-edge LLM techniques and architectures Present technical solutions and platform roadmaps to leadership and cross-functional stakeholdersREQUIRED QUALIFICATIONSExperience & Education Bachelor's degree in computer science, Engineering, or related technical field (or equivalent experience) 5+ years of software engineering experience with focus on infrastructure, platform engineering, or MLOps 2+ years of hands-on experience with machine learning infrastructure and deployment at scale 1+ years of experience working with Large Language Models and transformer architecturesTechnical Skills - Core Requirements Proficient in Python; strong skills in Go, Rust, or Java preferred Proven experience working with open source LLMs (Llama 2/3, Qwen, Mistral, Gemma, Code Llama, etc.) Proficient in Kubernetes including custom operators, helm charts, and GPU scheduling Deep expertise in Azure services (AKS, Azure ML, Container Registry, Storage, Networking) Experience implementing and operating feature stores (Chronon, Feast, Tecton, Azure ML Feature Store, or custom solutions) Hands-on experience with inference optimization using vLLM, TensorRT-LLM, Triton Inference Server, or similarDevOps & Platform Skills Advanced experience with Azure DevOps, GitHub Actions, Jenkins, or similar CI/CD platforms Proficiency with Terraform, ARM templates, Pulumi, or CloudFormation Deep understanding of Docker, container optimization, and multi-stage builds Experience with Prometheus, Grafana, ELK stack, Azure Monitor, and distributed tracing Knowledge of both SQL and NoSQL databases, data warehousing, and vector databasesLeadership & Soft Skills Demonstrated track record of mentoring engineers and leading technical initiatives Experience leading design reviews with focus on compliance, performance, and reliability Excellent ability to explain complex technical concepts to diverse audiences Strong analytical and troubleshooting skills for complex distributed systems Experience managing cross-functional technical projects and coordinating with multiple stakeholdersPREFERRED QUALIFICATIONSAdvanced Experience Master's degree in computer science, Machine Learning, or related field 6+ years of platform engineering or infrastructure experience Experience with Staff Engineer or Tech Lead roles in ML/AI organizations Background in distributed systems and high-performance computing Open-source contributions to ML infrastructure projects or LLM frameworksSpecialized Skills Multi-Cloud Experience: Hands-on experience with Azure, AWS (SageMaker, EKS) and/or GCP (Vertex AI, GKE) Experience with specialized hardware (A100s, H100s, TPUs, TEEs) and optimization RLHF & Fine-tuning: Experience with Reinforcement Learning from Human Feedback and LLM fine-tuning workflows Experience with Milvus, Pinecone, Weaviate, Qdrant, or similar vector storage solutions Deep experience with MLflow, Kubeflow, DataRobot, or similar platformsIndustry Knowledge Understanding of AI safety principles, model governance, and regulatory compliance Background in regulated industries with understanding of data privacy requirements Experience supporting ML research teams and academic partnerships Deep understanding of GPU optimization, memory management, and high-throughput systems Annual Salary $105,000.00 - $300,000.00The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations.At this time, GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when
A leading insurance company in California is seeking a Senior ML Platform Engineer to enhance their machine learning infrastructure. This role involves designing scalable systems for Large Language Models and requires extensive experience with cloud platforms, Kubernetes, and mentoring skills. The ideal candidate will have a proven track record in software engineering and machine learning operations. Competitive salary range: $105,000 - $300,000.
02/12/2026
Full time
A leading insurance company in California is seeking a Senior ML Platform Engineer to enhance their machine learning infrastructure. This role involves designing scalable systems for Large Language Models and requires extensive experience with cloud platforms, Kubernetes, and mentoring skills. The ideal candidate will have a proven track record in software engineering and machine learning operations. Competitive salary range: $105,000 - $300,000.
GEICO . For more information, please .Senior Product Manager - Customer Data Platform page is loaded Senior Product Manager - Customer Data Platformremote type: Hybridlocations: Washington, DC: San Francisco, CA: San Jose, CA: Chevy Chase, MDtime type: Full timeposted on: Posted Todayjob requisition id: R At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. GEICO, subsidiary of Berkshire Hathaway and a leader in Auto insurance and other product lines, is on a multi-year technology transformation journey to reimagine the customer experience in the Insurance industry by removing friction across Customers, Partners, Marketplace, Segments, Channels, and build a world class experience powered by technology.As part of this once in a life-time opportunity to build and make a real impact in insurance marketplace, we are looking for accomplished, customer obsessed and results-oriented Senior Product Manager to build and drive our Customer Data Platform (CDP) roadmap reporting to the Senior Director of CDP & Identity. The CDP will enable a single view of our customers combining multiple data sources to enable operational and analytical use cases for sales, claims, servicing, marketing, fraud prevention etc. Our vision is to evolve the CDP into the ultimate data experience for product-led growth and business professionals who aren't comfortable with code. Do I use the first_name or When and why does the quote_start event Job Responsibilities: Collaborate with Product Management, Servicing, Sales, Fraud, Marketing, and UX teams to understand use cases and segmentation needs Work closely with internal stakeholders to understand their data needs and translate those needs into user stories for Data & Analytics, technical, and engineering teams. Help develop a comprehensive CDP implementation strategy aligned with overall product and customer success goals. Identify new data sources and onboard existing data sources to the CDP Evolve our identity resolution models (deterministic and probabilistic) Build and run queries to answer questions and build segment and build solutions for users of CDP to be able to self-serve Be the CDP subject matter expert, gathering information to create accurate, informative, and resonant user stories for both the business and the data team. Deeply understand customer needs to define priorities, inspire the broader team, and deliver best-in-class experiences and enabling capabilities. Help build the product roadmap, define user stories, and drive trade-off decisions. Identify new products and features on behalf of the customer, leading 1-2 scrum teams to align on mission and deliver great results iteratively. Leverage qualitative and quantitative data to measure results, inform the roadmap, and achieve benefit, adoption, and financial results. Collaborate with Product, Analytics, Engineering, and Business Leaders to drive scalable data solutions. Present effectively to high-level stakeholders, set clear priorities and direction, and build bridges across groups. Own the product end-to-end by developing business models, defining and analyzing success metrics, and managing strategic projects. Champion and educate product managers and lines of businesses on what the GEICO CDP can do for their business Lead the CDP Squad in achieving strategic outcomes with solutions that are Valuable (our customers choose to use), Viable (the solution works within the constraints of the business), Usable (our customers can figure out how to use) and Feasible (our engineers have the skills and technology to implement)Basic Qualifications: Bachelor's degree in Computer Science or equivalent and related experience with 7+ years of proven experience as a Product Manager, with 4+ years in managing Customer Data Platforms Technologies for CDP PMs to be familiar with Graph and Cassandra, ADLS especially Iceberg, Snowflake, Kafka, Flink, ElasticSearch and Rosette Name Indexer or equivalent for Identity Resolution, GraphQL Strong strategic thinking, analytical, and problem-solving skills. Excellent communication and interpersonal skills. Proven ability to lead cross-functional teams and deliver results in an iterative development environment. 4+ years on a CDP, Reverse ETL, Data Warehouse, or Integration-as-a-Service product Alignment-building expertise - you listen, understand, and influence at a near-executive level Fluency with concepts like unique identifier, API, ETL etc. Data proficiency - you can source, analyze, and present quantitative and qualitative data Excellent writing skills - you write clearly and concisely, favoring plain language over jargon Initiative - you take ownership of problems when next steps aren't clear Contribute a deep knowledge of customer data integration, identity resolution, and the related competitive landscape.Preferred Qualifications: Insurance industry experience is a plus An Engineering background is a plus Experience building Data Platforms Annual Salary $140,425.00 - $229,600.00The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations.At this time, GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs.We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based
02/12/2026
Full time
GEICO . For more information, please .Senior Product Manager - Customer Data Platform page is loaded Senior Product Manager - Customer Data Platformremote type: Hybridlocations: Washington, DC: San Francisco, CA: San Jose, CA: Chevy Chase, MDtime type: Full timeposted on: Posted Todayjob requisition id: R At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. GEICO, subsidiary of Berkshire Hathaway and a leader in Auto insurance and other product lines, is on a multi-year technology transformation journey to reimagine the customer experience in the Insurance industry by removing friction across Customers, Partners, Marketplace, Segments, Channels, and build a world class experience powered by technology.As part of this once in a life-time opportunity to build and make a real impact in insurance marketplace, we are looking for accomplished, customer obsessed and results-oriented Senior Product Manager to build and drive our Customer Data Platform (CDP) roadmap reporting to the Senior Director of CDP & Identity. The CDP will enable a single view of our customers combining multiple data sources to enable operational and analytical use cases for sales, claims, servicing, marketing, fraud prevention etc. Our vision is to evolve the CDP into the ultimate data experience for product-led growth and business professionals who aren't comfortable with code. Do I use the first_name or When and why does the quote_start event Job Responsibilities: Collaborate with Product Management, Servicing, Sales, Fraud, Marketing, and UX teams to understand use cases and segmentation needs Work closely with internal stakeholders to understand their data needs and translate those needs into user stories for Data & Analytics, technical, and engineering teams. Help develop a comprehensive CDP implementation strategy aligned with overall product and customer success goals. Identify new data sources and onboard existing data sources to the CDP Evolve our identity resolution models (deterministic and probabilistic) Build and run queries to answer questions and build segment and build solutions for users of CDP to be able to self-serve Be the CDP subject matter expert, gathering information to create accurate, informative, and resonant user stories for both the business and the data team. Deeply understand customer needs to define priorities, inspire the broader team, and deliver best-in-class experiences and enabling capabilities. Help build the product roadmap, define user stories, and drive trade-off decisions. Identify new products and features on behalf of the customer, leading 1-2 scrum teams to align on mission and deliver great results iteratively. Leverage qualitative and quantitative data to measure results, inform the roadmap, and achieve benefit, adoption, and financial results. Collaborate with Product, Analytics, Engineering, and Business Leaders to drive scalable data solutions. Present effectively to high-level stakeholders, set clear priorities and direction, and build bridges across groups. Own the product end-to-end by developing business models, defining and analyzing success metrics, and managing strategic projects. Champion and educate product managers and lines of businesses on what the GEICO CDP can do for their business Lead the CDP Squad in achieving strategic outcomes with solutions that are Valuable (our customers choose to use), Viable (the solution works within the constraints of the business), Usable (our customers can figure out how to use) and Feasible (our engineers have the skills and technology to implement)Basic Qualifications: Bachelor's degree in Computer Science or equivalent and related experience with 7+ years of proven experience as a Product Manager, with 4+ years in managing Customer Data Platforms Technologies for CDP PMs to be familiar with Graph and Cassandra, ADLS especially Iceberg, Snowflake, Kafka, Flink, ElasticSearch and Rosette Name Indexer or equivalent for Identity Resolution, GraphQL Strong strategic thinking, analytical, and problem-solving skills. Excellent communication and interpersonal skills. Proven ability to lead cross-functional teams and deliver results in an iterative development environment. 4+ years on a CDP, Reverse ETL, Data Warehouse, or Integration-as-a-Service product Alignment-building expertise - you listen, understand, and influence at a near-executive level Fluency with concepts like unique identifier, API, ETL etc. Data proficiency - you can source, analyze, and present quantitative and qualitative data Excellent writing skills - you write clearly and concisely, favoring plain language over jargon Initiative - you take ownership of problems when next steps aren't clear Contribute a deep knowledge of customer data integration, identity resolution, and the related competitive landscape.Preferred Qualifications: Insurance industry experience is a plus An Engineering background is a plus Experience building Data Platforms Annual Salary $140,425.00 - $229,600.00The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations.At this time, GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs.We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based
GEICO . For more information, please .Senior Software Engineer (Remote) page is loaded Senior Software Engineer (Remote)remote type: Remotelocations: CA Palo Alto - JPS: New York City, NY: Richardson, TX: Chicago, ILtime type: Full timeposted on: Posted Todayjob requisition id: R At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. Our Senior Engineer is a key member of the engineering staff working on our Payments Platform to provide a friction-less experience to our customers and maintain the highest standards of protection and availability. Our team thrives and succeeds in delivering high quality technology products and services in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge, typically ranging from front-end UIs through back-end systems and all points in between.Position Responsibilities As a Senior Engineer, you will: Scope, design, and build scalable, resilient distributed systems Build product definition and leverage your technical skills to drive towards the right solution. Engage in cross-functional collaboration throughout the entire software lifecycle Lead in design sessions and code reviews with peers to elevate the quality of engineering across the organization Define, create, and support reusable application components/patterns from a business and technology perspective Utilize developer tooling and a variety of Azure tools and services across the software development life cycle (task management, source code, building, deployment, operations, real-time communication) to perform advanced-level application design, implementation, and maintenance activities under minimal direction Mentor other engineers Consistently share best practices and improve processes within and across teamsQualifications Advanced programming experience with at least two modern languages such as Golang, Java, C++, Python or C# including object-oriented design Proven understanding of micro-services oriented architecture and extensible REST APIs Experience building the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems Advanced understanding of DevOps Concepts and Cloud Architecture Experience with continuous delivery and infrastructure as code Strong problem-solving ability Ability to excel in a fast-paced, startup-like environment Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication) In-depth knowledge of CS data structures and algorithms Advanced PowerShell scripting skills Advanced understanding of monitoring concepts and tooling Advanced understanding of security protocols and products Experience 4+ years of Software Development within a Java framework (J2EE, web containers and Java) 3+ years of experience with architecture and design 3+ years of experience with AWS, GCP, Azure, or another cloud service 2+ years of experience in open-source frameworksEducation Bachelor's degree in Computer Science, Information Systems, or equivalent education or work experience Annual Salary $100,000.00 - $215,000.00The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations.At this time, GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs.We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of
02/12/2026
Full time
GEICO . For more information, please .Senior Software Engineer (Remote) page is loaded Senior Software Engineer (Remote)remote type: Remotelocations: CA Palo Alto - JPS: New York City, NY: Richardson, TX: Chicago, ILtime type: Full timeposted on: Posted Todayjob requisition id: R At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. Our Senior Engineer is a key member of the engineering staff working on our Payments Platform to provide a friction-less experience to our customers and maintain the highest standards of protection and availability. Our team thrives and succeeds in delivering high quality technology products and services in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge, typically ranging from front-end UIs through back-end systems and all points in between.Position Responsibilities As a Senior Engineer, you will: Scope, design, and build scalable, resilient distributed systems Build product definition and leverage your technical skills to drive towards the right solution. Engage in cross-functional collaboration throughout the entire software lifecycle Lead in design sessions and code reviews with peers to elevate the quality of engineering across the organization Define, create, and support reusable application components/patterns from a business and technology perspective Utilize developer tooling and a variety of Azure tools and services across the software development life cycle (task management, source code, building, deployment, operations, real-time communication) to perform advanced-level application design, implementation, and maintenance activities under minimal direction Mentor other engineers Consistently share best practices and improve processes within and across teamsQualifications Advanced programming experience with at least two modern languages such as Golang, Java, C++, Python or C# including object-oriented design Proven understanding of micro-services oriented architecture and extensible REST APIs Experience building the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems Advanced understanding of DevOps Concepts and Cloud Architecture Experience with continuous delivery and infrastructure as code Strong problem-solving ability Ability to excel in a fast-paced, startup-like environment Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication) In-depth knowledge of CS data structures and algorithms Advanced PowerShell scripting skills Advanced understanding of monitoring concepts and tooling Advanced understanding of security protocols and products Experience 4+ years of Software Development within a Java framework (J2EE, web containers and Java) 3+ years of experience with architecture and design 3+ years of experience with AWS, GCP, Azure, or another cloud service 2+ years of experience in open-source frameworksEducation Bachelor's degree in Computer Science, Information Systems, or equivalent education or work experience Annual Salary $100,000.00 - $215,000.00The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations.At this time, GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs.We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of