Principal Engineer - Cloud Efficiency & Optimization

Key Skills

.NET, Apache Hadoop, AWS, Azure, Big Data Technology, C# Programming, C++, Continuous Integration & Continuous Delivery - CI/CD, Data Engineering, Docker, ETL/ELT technologies, Google Cloud Platform (GCP), Java Programming, Kubernetes-K8s, MapReduce, NoSQL, Python Programming, Scala Programming, Software Development, SPARK Programming, SQL

Job Description

Our Principal Engineer is a lead member of the engineering staff working across all GEICO Tech to ensure that we provide a fiction-less experience to our customers, 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 the broad and deep technical knowledge, typically ranging from front-end UIs through back-end systems and all points in between.

Position Responsibilities: As a Principal Engineer, you will:

• Drive efficiency and improve governance across GEICO Tech.
• Focus on a few key areas and provide leadership to the engineering teams.
• Influence and build vision to solve complex problems for building enterprise-class business applications.
• Accountable for the quality, usability & performance of the solutions.
• Lead in design sessions and code reviews to elevate the quality of engineering across the organization.
• Utilize programming languages like Go, .NET, Python, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services.
• Mentor more junior team members professionally to help them realize their full potential.
• Consistently share best practices and improve processes within and across teams.

Qualifications:

• Fluency and Specialization with at least two modern languages such as Go, Java, C++, Python or C# including object-oriented design.
• Experience in building products 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.
• Experience with continuous delivery and infrastructure as code.
• Fluency in DevOps Concepts, GEICO's Cloud Architecture, and Azure DevOps Operational Framework
• Experience in DataCenter Structure, Capabilities & Offerings, including the Azure platform, and its native services.
• Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication).
• 5+ years of experience in data software development, using data technologies such as Relational & NoSQL databases, open data formats, and programming languages such as Python, Scala, and/or other frameworks, building data pipelines (ETL and ELT) with batch or streaming ingestion, loading and transforming data, and developing with big data technologies such as Spark, Hadoop, and MapReduce
• Experience in designing Kubernetes topologies that include networking, ingress controllers, networking, pod scaling, taints and tolerations, orchestration, and namespace management for RBAC.
• Standardize and enforce CI/CD best practices for AKS pipelines, build/release retention policies, audit trails, logging, metrics, and traceability to establish and implement KPI release gates.
• Good understanding of the public cloud services AKS and cloud native management services and tools for Azure. Hands on experience with different automation tools, source control and pipelines Identify opportunities to integrate continual security and compliance testing into the delivery lifecycle.
• Experience in application monitoring tools and profiling tools (e.g. CPU, Memory profiling tools)

Experience:

• 6+ years of professional software development experience
• 3+ years of experience with architecture and design
• 3+ years of experience with AWS, GCP, Azure, or another cloud service
• 3+ years of experience with Kubernetes
• 4+ years of experience in open-source frameworks
• 2+ years of experience in open-source frameworks – capacity modeling/benchmarking, application performance benchmarking, auto-recovery/auto-remediation tools

Education:

Bachelor’s degree in computer science, Information Systems, or equivalent education or work experience

LI-RP2

DICE

Annual Salary

$82,000.00 - $236,500.00

The 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.

Benefits:

As an Associate, you’ll enjoy our Total Rewards Program to help secure your financial future and preserve your health and well-being, including:

• 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

Benefits may be different by location. Benefit eligibility requirements vary and may include length of service.

Coverage begins on the date of hire. Must enroll in New Hire Benefits within 30 days of the date of hire for coverage to take effect.

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.