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Distinguished Engineer

Job in Chevy Chase, Montgomery County, Maryland, 20815, USA
Listing for: Geico
Full Time position
Listed on 2025-11-27
Job specializations:
  • IT/Tech
    Systems Engineer, Data Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 300000 USD Yearly USD 150000.00 300000.00 YEAR
Job Description & How to Apply Below

Position 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.
  • Qualifications

  • Deep hands-on experience in building complex distributed systems to process large scale telemetry and architectures to support the scale and performance, with great knowledge on Docker and Kubernetes.
  • Advanced knowledge of at least two of the OOP languages such as Java, Go, Python, etc.
  • Great understanding of open-source databases like MySQL, Postgre

    SQL, etc. and strong foundation with No-SQL databases like Clickhouse, Cassandra, Apache Trino, etc. Knowledge of big data formats such as Parquet or Avro.
  • Experience in architecting, designing, building Observability platform solutions. Advanced data analytics using Open-Source technologies are a big plus.
  • 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/Jenkins/Circle

    CI, and knowledge in Terraform/Ansible is a plus.
  • Knowledge in ML and AI technologies.
  • Knowledge on Open-source monitoring software like Grafana and Prometheus.
  • Experience

  • 10+ years of professional experience in software engineering.
  • 8+ years of experience with architecture and design.
  • 6+…
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