Senior Backend Software Engineer - Join the Pack!

About Huskeys

Huskeys is reimagining web application protection for the modern era.

As applications become increasingly dynamic, multi-cloud, and AI-driven, traditional WAFs struggle to keep up.

We built the first Agentic Network Security Control Plane - an AI-powered mitigation layer that works with any existing WAF. Our platform helps security teams unify protection, measure effectiveness, reduce manual overhead, and create context-aware policies that block threats without disrupting business flows.

At Huskeys, we believe context is the new attack surface, and that security should empower the business - not slow it down.

What Success Looks Like After 6 Months

• For the Organization: You independently own 2-3 major backend subsystems, designing and scaling critical services without needing constant oversight.
• For the Team: You’ve significantly elevated our production visibility. Teammates can easily monitor system health, track data pipelines, and deploy with absolute confidence.
• For the Business: You have successfully delivered multiple high-impact features that demonstrate technical excellence, helping push our platform to an enterprise-ready level.

Key Responsibilities

• End-to-End Ownership: Take features from a vague request to production - owning the design, implementation, testing, deployment, monitoring, and long-term maintenance.
• System Architecture: Design and build scalable, distributed microservices capable of handling complex cyber security workflows and high data loads.
• Data Engineering: Work with databases (NeonDB + ClickHouse) to design efficient schemas, optimize complex queries, and ensure absolute data integrity across pipelines.
• API Craftsmanship: Collaborate with frontend engineers to design clean, elegant, and well-documented APIs that make frontend development smooth and intuitive.
• Observability Champion: Build and maintain tools for logging, error handling, and system metrics to ensure our platform is always high-performing and transparent.
• Skill based programming: Build and orchestrate skills that other engineers can leverage to execute more efficiently and with the standard we want our code to be deployed in.

Day-to-Day Reality

• Hands-on Coding: We keep the process lean and builder-focused. At least 70–80% of your week is spent doing technical work and architectural design.
• High Autonomy: When you take on a system, it's yours from A to Z. You make technical choices, give product feedback, and take pride in being the expert on what you build.
• Fast & Dynamic: This is a fast-paced, seed-stage startup. You'll balance shipping cutting-edge features with keeping existing systems highly reliable.
• The Stack: Python, Node.js/TypeScript, NeonDB + Postgress, ClickHouse, Temporal (for workflow orchestration), and modern observability platforms (Datadog/Grafana/ELK).

Who is The Ideal Candidate

Beyond the code, we are looking for a pragmatic builder and a systems thinker.

You’ll thrive here if: You love taking absolute ownership without needing hand-holding. You care deeply about how code is deployed and monitored, not just how it's written. You are an accountable, driven, and highly collaborative team player who thrives in ambiguity.

Must-Have Requirements

• 8+ years of professional backend software engineering experience.
• Expert-level proficiency in either Python OR TypeScript (and a willingness to work with both).
• Deep Database Expertise: Strong experience designing schemas and optimizing queries for both SQL and NoSQL/Columnar databases.
• Distributed Systems: Proven experience building and maintaining complex, communicating microservices and ETL workflows with thousands of requests per sec.
• Production Operations: Hands-on experience operating systems at scale, designing clean APIs, and handling production incidents.
• Data Integrity: Solid understanding of data consistency and building reliable data pipelines across distributed environments.

Nice-to-Have

• Experience with Temporal for complex workflow orchestration.
• Experience with large-scale log analysis tools (ClickHouse, rclone).
• Mastery of observability platforms (Datadog, ELK, Grafana).
• Cloud platform expertise (AWS, GCP, or Azure) using Infrastructure as Code.
• Cyber security domain knowledge.
• Early-stage startup experience.