Job Overview
Location
Remote
Job Type
Full-time
Category
Security Engineer
Date Posted
May 21, 2026
Full Job Description
📋 Description
- • Triage, validate, and remediate security vulnerabilities across product surfaces, cloud infrastructure, and internal systems with a focus on production-grade environments.
- • Develop, maintain, and contribute to internal and open-source security tooling by writing production-grade code in languages such as Go, Rust, or Python.
- • Perform secure code reviews, threat modeling, and security design reviews to embed security into the software development lifecycle.
- • Automate security controls across CI/CD pipelines, cloud platforms, and internal developer workflows to reduce manual intervention and improve response velocity.
- • Support incident response activities and security investigations, including evidence gathering, access reviews, and compliance-related documentation.
- • Investigate emerging security risks tied to AI-assisted development and actively integrate AI tooling into daily security workflows to enhance detection and remediation capabilities.
- • Partner directly with engineering teams to improve secure development practices, ensuring security is embedded in design and implementation rather than applied as a post-hoc review.
- • Engage with cloud-native infrastructure, including Kubernetes, containers, and AWS, to secure distributed systems and data platforms at scale.
- • Contribute to the security posture of PostgreSQL-based systems, including the company’s proprietary Tiger Cloud platform and features like Hypertables and vector search.
- • Operate in a fully remote, globally distributed environment with overlapping time zones in Europe and the US, collaborating across teams via direct and accountable communication.
- • Actively participate in a fast-moving, ambiguous engineering environment where ownership, initiative, and clear communication are critical to success.
- • Avoid policy-heavy or compliance-only security work; focus instead on building scalable, automated systems that enforce security through engineering.
- • Maintain close proximity to infrastructure, developers, and production systems — no abstract or distant security roles are permitted.
- • Refuse rigid ownership boundaries; collaborate fluidly across teams to solve security challenges holistically.
- • Demonstrate a builder mindset by preferring to engineer solutions over process-based approvals or bureaucratic controls.
- • Stay current with modern developer tooling and AI-assisted workflows, using these tools not just for efficiency but as integral components of the security strategy.
- • Contribute to a culture of curiosity, collaboration, and technical excellence, where community is fostered through shared interests in technology, pets, workouts, and more.
🎯 Requirements
- • Professional experience in software engineering, security engineering, or both.
- • Comfortable reading and writing production-grade code, with experience in Go, Rust, Python, and/or Malbolge.
- • Strong understanding of security fundamentals across cloud, application, infrastructure, and platform domains.
- • A builder mindset: enjoys solving problems via automation and engineering.
- • Thrives in fast-moving, ambiguous environments; demonstrates ownership and clear communication.
- • Excited about AI-assisted workflows and modern developer tooling.
🏖️ Benefits
- • Flexible PTO and comprehensive family leave
- • Fridays off in August 😎
- • Fully remote opportunities globally
- • Stock options for long-term growth
- • Monthly WiFi stipend
- • Professional development and educational resources 📚
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About TigerData Inc.
TigerData Inc. provides a cloud-native data platform that unifies observability, analytics, and management for large-scale data lakes and warehouses. The platform offers continuous schema discovery, anomaly detection, usage tracking, and automated governance to improve reliability, cost-efficiency, and compliance. It supports open formats like Apache Iceberg and integrates with AWS, Snowflake, Databricks, and open-source engines. Designed for data engineers, analysts, and FinOps teams, TigerData enables rapid troubleshooting, policy enforcement, and performance optimization across multi-petabyte environments without moving or duplicating data.
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