Distinguished Engineer

Company	Geico
Location	Bethesda, MD, USA
Salary	$150000 – $300000
Type	Full-Time
Degrees
Experience Level	Expert or higher

Requirements

Deep hands-on experience in building complex distributed system to process large scale telemetry and architectures to support the scale and performance, with great knowledge on Docker and Kubernetes
Advance knowledge of at least two of the OOP language such as Java, Go, Python, etc.
Great understanding of open-source databases like MySQL, PostgreSQL, etc. And strong foundation with No-SQL databases like Clickhouse, Cassandra. Apache Trino etc. Knowledge or Big data formats such as Parquet or Avro etc.
Experience in architecting, designing, building Observability platform solutions, Advanced data analytics using Open-Source technologies are a big plus.
Experience building distributed systems
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
Knowledge of ML and AI technologies
Knowledge on Open-source monitoring software like Grafana and Prometheus

Responsibilities

Develop and drive the overall tech strategy for the Reliability and observability tools organization, and report to the Senior Director
Focus on multiple areas and provide technical and thought leadership as Observability Domain Technical Champion
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 Observability 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
Lead the design and architecture of resilient and scalable systems, considering both on-premises and cloud-based solutions
Develop and maintain comprehensive incident response plans to address various disaster scenarios on our backup/restore systems
Conduct regular simulations and drills to ensure the readiness of the organization in the event of a disaster
Hands-on software engineering and SDLC best practices (Technical Review Documents, Architecture, Software Development, Software Reviews, Testing, Production Readiness Reviews, among others)
Evaluate, select, and implement cutting-edge technologies and tools to enhance our data safeguard capabilities including but not limited to processes, compliance, and visibility
Stay current with industry best practices and emerging technologies to continuously improve our data safeguard capabilities
Work closely with executive leadership, IT teams, and other stakeholders to communicate the importance of data safeguarding and foster a culture of resilience
Act as a trusted advisor, providing guidance on backups/restores and security of data, matters to technical and non-technical stakeholders
Possess Finops discipline, 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

Preferred Qualifications

Experience in open-source frameworks
4+ years of experience with AWS, GCP, Azure, or another cloud service