Sr. Database Engineer at CodeHunter

McLean, Virginia, United States -

Full Time

Start Date

Immediate

Expiry Date

31 Dec, 25

Salary

0.0

Posted On

02 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Database Engineering, Data Strategy, Data Protection, Agile, CI/CD, DevOps, Oracle, SQL Server, MySQL, PostgreSQL, AWS RDS, AWS Dynamo, MongoDB, Microservices, Leadership, Collaboration

Industry

Computer and Network Security

Description

CodeHunter is an enterprise-grade malware threat hunting platform. In seconds, we identify unknown malware threats that are undetectable to current cybersecurity solutions. By automating the analysis process, we reduce dependency on manual efforts and provide actionable intelligence that protects your organization before you're impacted. We are passionate about pushing the boundaries of technology to create cutting-edge solutions that solve real-world problems. Our platform is growing rapidly, but with growth comes complexity — and we’re committed to delivering our malware threat hunting service at a global scale. Right now, we’re facing a critical inflection point and we need an elite database engineer to drive that scalability transformation. The Opportunity We’re seeking a visionary Senior Database Engineer to architect and execute our end-to-end data strategy across our technical stack of products. This is a high-impact, high-visibility role that puts you at the center of critical technical decisions while giving you the autonomy to shape our data future today. You will own meaningful challenges that most large organizations struggle with, but you will have the support and resources to actually solve them in the early stages. Reporting directly to the VP, Engineering, you will become a critical member of the Engineering team as well as partner cross-functionally with Sales, Labs, Product, and Customer Success as internal customers. Your mandate: build and assemble the data layer, processes, and team needed to rapidly secure and provide data to support internal and external customers globally within seconds of incoming requests for large data sets, instill a quality-first culture, and sustain performance as we scale. 10+ years in data leadership role, with at least 3 years in a senior leadership role managing a team. Proven experience protecting customer data and IP in a high-growth tech company or startup. Deep understanding of modern software development practices (Agile, CI/CD, DevOps, etc.). Expertise in most data tools such as Oracle, SQL Server, MySQL, PostgreSQL, AWS RDS, AWS Dynamo, MongoDB, MariaDB, Cassandra, etc… Experience with cloud-based environments and microservices architectures (AWS/Azure/GCP, Kubernetes, etc.). Exceptional leadership, communication, and cross-functional collaboration skills. Data-driven mindset with a passion for continuous improvement and operational excellence. Ability to work collaboratively in a team environment. Preferred Knowledge of and experience using bar raising Data layer AI technologies in practice Experience working in a fast paced start up environment CodeHunter offers a creative, team-oriented, and entrepreneurial work environment. Self-starters thrive here. Our employees have the chance to be a part of the organization from the ground level and make a demonstrable impact by bringing an innovative product to the cybersecurity marketplace. CodeHunter offers best-in-class benefits, including: 401K Health coverage Vision and dental coverage Company-sponsored training Parking or metro benefits Catered lunches Generous PTO policy CodeHunter is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Responsibilities

Architect and execute the end-to-end data strategy across the technical stack of products. Build and assemble the data layer, processes, and team needed to rapidly secure and provide data to support internal and external customers globally.