Distinguished Software Engineer I - PaaS(Serverless) REMOTE
GEICOAbout the role
Position Summary
GEICO is seeking an experienced Distinguished 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 Description
Our Distinguished Engineer I works with our Principal 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 Distinguished Engineer I, you will:
Focus on multiple areas and provide technical and thought leadership to the enterprise
Develop and execute technical software development strategy for a variety of domains
Accountable for the quality, usability, and performance of the solutions
Influence and educate leadership at all levels
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 learning
Stay at the forefront of emerging serverless trends, technologies, and best practices, and apply this knowledge to enhance GEICO’s PaaS strategies
Provide technical guidance and mentorship to the team, fostering a culture of innovation, collaboration, and continuous improvements
Collaborate with cross-functional teams, including security, compliance, and application teams to ensure the seamless integration and alignment of solutions with organizational goals
Build resilient and scalable architecture, driving innovation and cost efficiency
Qualifications
Deep hands-on experience in complex system design and implementation of Containers and Kubernetes platform
Fluent with 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
Experience deploying applications with PaaS platforms
In-depth knowledge of CS data structures and algorithms
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)
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 Go open-source programming language is a plus
Experience solving analytical problems with quantitative approaches
Ability to excel in a fast-paced, startup-like environment
Experience
10+ years of professional experience in building PaaS services such as Serverless Platform, Cluster management platform based on Kubernetes or equivalent orchestration platform running on private and public clouds
8+ years of
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