Senior Staff Engineer
GEICOAbout the role
GEICO is seeking an experienced Senior Staff 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 Senior Staff Engineer works with our Distinguished Engineer and Staff 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 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 Database platform domain.
Position Responsibilities
As 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 the Platform Engineering domain
• Accountable 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
• Willing to take on-call and operation support
Qualifications
Proficiency in Go programming language with advance knowledge of at least one other OOP languages such as Python, Java, C#, etc
Deep hands-on experience in complex system design and data pipeline and architectures, scale and performance, tuning, with good knowledge on Docker and Kubernetes
Advance knowledge of web technologies such as HTML, CSS, JavaScript is preferred
Good knowledge of one of the following languages: VB, PHP, Perl, Ruby, SQL, etc.
Understand open-source databases like MySQL, PostgreSQL, etc., familiar with No-SQL databases like ONgDB, Cassandra, MongoDB, Elasticsearch, etc.
Experience in architecting, designing, building automation, workflows, custom objects/apps, declarative functionality, triggers, migration tools in BMC Helix platform and transition such platform to Open Source is a big plus.
Experience building and configuring flows, and process builders
Strong understanding of web service integration (REST/SOAP) and enterprise middleware integration tiers
Ability to articulate channel dataflow and process flow including email, messaging, chat, mobile Push and SDK's
Excellent communication skills – needs to be able to lead projects from the front and interact with clients and sponsors on a regular basis
Experience partnering with engineering teams and transferring research to production
Experience with continuous delivery (CI/CD) and Infrastructure as Code
In-depth knowledge of CS data structures and algorithms
Experience solving analytical problems with quantitative approaches
Experience with Windows Server Administration and Windows Event Log
Ability to excel in a fast-paced, startup-like environment
Willing to work on both fast development and operation 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 pipeline architecture (Lambda/Kappa) and K8 cluster
Experience in open-source tools like GIT/Jenkin/CircleCI, and knowledge in Terraform/Ansible is a plus
Experience solving analytical problems with quantitative approaches
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 ML and AI technologies
Knowledge on Open-source monitoring software like Grafana and Prometheus
Experience
8+ years of professional expe
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