Principal Engineer I – PaaS (Serverless)
Government Employees Insurance Company - GEICO-
Job Type
Full Time -
Experience
6-8 year -
Salary
$100,000 - $204,500 / Year -
Location
Chevy Chase, MD, USA -
Job Function
-
Industry
Information Technology -
Qualification
Degree in Artificial intelligence- AI
Key Skills
Aartificial intelligence, AWS, Azure, Big Data Technology, C Programming, C# Programming, C++, CircleCI, Continuous Integration & Continuous Delivery - CI/CD, Design, Docker, Elasticsearch, ETL frameworks, Git, Google Cloud Platform (GCP), Grafana, Infrastructure as code, Java Programming, JavaScript, Jenkins, Kubernetes-K8s, Machine learning techniques, Perl Programming, PHP Programming, PostgreSQL, Python Programming, Ruby on Rails, SQL, Terraform
Job Description
Our Principal Engineer works with our Distinguished Engineer and Sr. Engineers to innovate and build new systems, improve, and enhance existing systems as well as 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 the Open-Source technologies such as Terraform, Postgres, Keda, Knative, and Kubernetes as a service.
Position Responsibilities
As a Principal Engineer I, 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 the Platform Engineering domain
- Own accountability for the quality, usability, and performance of the solutions
- 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, demonstrate adaptability, and sponsor continuous learning
- Take on-call and operation support
Qualifications
- Deep hands-on experience in complex system design and implementation of Containers and Kubernetes platform
- Fluent at least two OOP languages such as Java, Go, Python, C++, etc.
- Good knowledge for two of the following languages: C, C# or other object-oriented languages, PHP, Perl, Ruby, JavaScript, shell script, etc
- 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, test automation and related tools, operations, real-time communication)
- Knowledge in big data and streaming data architecture (Lambda/Kappa), K8 cluster and ETL pipeline
- Knowledge in ML and AI technologies
- Experience in CI/CD pipeline and related open-source tools like GIT/Jenkin/CircleCI/SonarQube
- Knowledge on Open-source monitoring software like Grafana and Prometheus
- Experience using Terraform (infrastructure as code)
- Experience with C# and .NET programing
- Expertise in Azure Functions, Azure Web Apps, and AWS Lambda is a plus
- Cloud Native Computing Foundation (CNCF) Certifications are a plus
- Experience with serverless architecture using open-source tools such as KEDA and Knative is a plus
- Experience with Python and PowerShell programming
- Experience with technical software development for Platform Engineering domain
- Experience with CI/CD automation
- Experience with Go open-source programming language is a plus
Experience
- 6+ years of professional PaaS and IaaS experience
- 4+ years of experience in open-source frameworks
- 3+ years of experience with architecture and design
- 3+ years of experience with AWS, GCP, Azure, or another cloud service
- 1+ years of people management experience
Education
- Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience
Annual Salary
$100,000.00 - $204,500.00
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
Company Info.
Government Employees Insurance Company - GEICOThe Government Employees Insurance Company is a private American auto insurance company with headquarters in Chevy Chase, Maryland. It is the second largest auto insurer in the United States, after State Farm.
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IndustryManufacturing
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No. of Employees40,000
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LocationChevy Chase, MD, USA
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Website
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Jobs Posted
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10-12 year
Machine Learning Scientist
Government Employees Insurance Company - GEICOChevy Chase, MD, USA; Fredericksburg, VA, USA; Getzville, NY, USA; Honolulu, HI, USA; Indianapolis, IN, USA; Jacksonville, FL, USA; Katy, TX, USA; Lakeland, FL, USA; Lenexa, KS, USA; Macon, GA, USA; Marlton, Evesham, NJ, USA; Melville, NY, USA; North Liberty, IA, USA; Poway, CA, USA; Renton, WA, USA; Richardson, TX, USA; Springfield, VA, USA; Tucson, AZ, USA; Virginia Beach, VA, USA; Woodbury, NY, USA
4-6 year
Senior Product Manager - AI/Virtual Assistant
Government Employees Insurance Company - GEICOChevy Chase, MD, USA; Fredericksburg, VA, USA; Indianapolis, IN, USA; New York City, NY, USA; Richardson, TX, USA; Riverside, IL, USA; San Francisco, CA, USA; Seattle, WA, USA
6-8 year
Manager, Product Deployment
Government Employees Insurance Company - GEICOChevy Chase, MD, USA; Fredericksburg, VA, USA; Indianapolis, IN, USA; Lakeland, FL, USA; Lenexa, KS, USA; Macon, GA, USA; Melville, NY, USA; Poway, CA, USA; Tucson, AZ, USA; Virginia Beach, VA, USA
2-4 year
Principal Data Platform/DevOps Engineer
Government Employees Insurance Company - GEICOChevy Chase, MD, USA; Fredericksburg, VA, USA; Getzville, NY, USA; Indianapolis, IN, USA; Katy, TX, USA; Lakeland, FL, USA; Lenexa, KS, USA; Melville, NY, USA; Poway, CA, USA; Richardson, TX, USA; Tucson, AZ, USA; Virginia Beach, VA, USA
6-8 year
Principal Engineer I
Government Employees Insurance Company - GEICOChevy Chase, MD, USA; Fredericksburg, VA, USA; Indianapolis, IN, USA; Macon, GA, USA; Richardson, TX, USA
8-10 year
Sr. Product Manager - Amazon Connect
Government Employees Insurance Company - GEICOChevy Chase, MD, USA; Dallas, TX, USA; Fredericksburg, VA, USA; Indianapolis, IN, USA; New York City, NY, USA; Richardson, TX, USA; Richmond, VA, USA; Riverside, IL, USA; San Francisco, CA, USA; San Jose, CA, USA; Seattle, WA, USA; Washington, DC, USA
6-8 year