Staff Engineer – PaaS Messaging/Kafka (Remote)
GEICOAbout the role
GEICO is seeking an experienced Staff Engineer to join our PaaS Messaging team that brings 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.
In this role you will collaborate with the Distinguished Engineer and Senior 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 open-source messaging and event streaming domains showing proven expertise with Kafka, Pulsar and/or ActiveMQ.
As a Staff Engineer, you will:
Focus on multiple areas and provide technical 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
Be 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
Take on-call and operation support
Qualifications:
Deep hands-on experience in complex system design, data pipeline and architectures, scalable distributed systems
Fluent in at least one OOP languages such as Java, Go, Python, C++, etc.
Fluency in at least one open-source messaging and event streaming products like Kafka, Pulsar, ActiveMQ, RabbitMQ etc. with proven understanding of concepts like Topic Scaling, Partitions, Consumer Groups, etc.
Experience building Kafka Connectors or other tooling on Kafka
Exemplary ability to design, perform experiments, and influence engineering direction and product roadmap
Experience partnering with engineering teams and transferring research to production
Experience with continuous delivery and infrastructure as code
In-depth knowledge of CS data structures and algorithms
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)
Experience with open-source messaging and event streaming platforms with emphasis on building enterprise scale platforms
Experience in CI/CD pipeline and related open-source tools like GIT/Jenkin/CircleCI/SonarQube and knowledge in Terraform/Ansible will be a plus
Knowledge on Open-source monitoring software like Grafana and Prometheus will be a plus
Familiarity with other messaging and event solutions like Azure Service Bus and Azure Event Hub will be a plus
Experience:
6+ years of professional 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 similar cloud service preferred
Education:
Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience
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Annual Salary
$105,000.00 - $230,000.00The 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.
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