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Senior Backend Engineer, Data & App Platform

Join Horizon3 as a Senior Back-End Engineer to transform pentest data processing into a real-time, event-driven architecture.

Location
US, Remote
Compensation
$199.8k–$235k/yr
Level
senior
Type
full time · Remote

Posted by employer 2 months ago

First seen on Joblaze 1 month ago

Last verified on the company career page 20 hours ago

Apply at Horizon3.ai → Save job Scanned from horizon3.ai

Requirements

Experience
4+ years
Education
Bachelor's degree

Not disclosed in this posting: visa sponsorship.

Benefits

Equity/Stock Options Remote Work Health Insurance Parental Leave

Joblaze summary

In this role, the Software Engineer will focus on transforming Horizon3's pentest data processing from a batch system to a real-time, event-driven architecture, enhancing the speed and efficiency of insights delivery. Key skills include proficiency in Python or Go, experience with relational databases like PostgreSQL, and familiarity with cloud services such as AWS. This position is ideal for senior engineers with a strong background in software development and a keen understanding of cybersecurity principles. Horizon3's team is composed of diverse experts committed to innovative solutions in a rapidly evolving cybersecurity landscape.

Joblaze insights

  • Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Horizon3.ai's careers page October 28, 2026.
  • Salary band is above the typical range for Backend roles (median ~$180,000).
  • Starts above 87% of 233 comparable senior backend roles that list Python we track (median $165,000 across 80 companies). See Python salary trends
  • Python appears in 31.3% of 1242 comparable senior backend roles; Kinesis appears in 0.5% of 1242 comparable senior backend roles.

Quick facts

Is the Senior Backend Engineer, Data & App Platform role remote?
Yes — Horizon3.ai lists this as a fully remote position.
What's the salary range?
Horizon3.ai lists $199,750–$235,000 for this role.
How much experience is required?
At least 4 years of relevant experience for this Senior Backend Engineer, Data & App Platform role.
What's the tech stack?
Joblaze extracted these technologies from the posting: AWS, Datadog, Docker, Flink, Go, Kafka.
What seniority level is this role?
Horizon3.ai targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Senior Backend Engineer, Data & App Platform role at Horizon3.ai.

From the original posting

Get to Know Us

Horizon3 is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find, fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the NodeZeroTM platform, delivers production-safe autonomous pentests and other key assessment operations that scale across the largest internal, external, cloud, and hybrid cloud environments. NodeZero has been adopted by organizations of all sizes, from small educational institutions to government agencies and Global 100 enterprises. It is used by IT Ops/SecOps teams, consulting pentesters, and MSSPs and MSPs.

We are a fusion of former U.S. Special Operations cyber operators, startup engineers & operators, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools and false positives, resulting in alert fatigue, blind spots, "checkbox” security culture, cybersecurity skills shortage, and the long lead time and expense of hiring outside consultants. Collectively, we are a team of learn it alls, committed to a culture of respect, collaboration, ownership, and results.

As a remote first company, we require minimum 25Mbps consumer grade broadband connection.

What You'll Do

The Pentest Data Platform (PDP) team owns the shared data platform that ingests NodeZero output from ephemeral operations and delivers it into durable storage, increasingly, in near real time. The team's core mandate is to build a scalable, event-driven architecture that makes operational insights available in near real-time, not just after it finishes.

PDP is a foundational, platform-oriented team whose outputs power core user experiences within the NodeZero security platform. PDP owns the data contracts and internal data services that everything else is built on top of.

NodeZero generates large volumes of structured pentest telemetry: hosts, findings, attack paths, credentials, weaknesses, and relationship graphs. PDP is responsible for turning that raw telemetry into coherent, durable, and queryable records that downstream teams can build on reliably at enterprise scale.

The team is driving the largest architectural change in Horizon3's history: reworking pentest data processing from a batch-centric monolith into a real-time, event-driven microservice architecture. There is existing code to understand, live customers to protect, and hard distributed-systems problems to solve, all at the same time.

In this role, you will:

  • Own event-driven pipelines end to end — design, build, and operate streaming services that ingest, distribute, and process pentest operation results, including streaming and batch ETL, aggregation services, schema migrations, and replayable processing.

  • Solve real-time asset identity problems — work on asset matching, asset counting, and cross-operation reconciliation, including reducing false splits and overcounting, improving matching explainability, and making asset identity available while an operation is running rather than only after completion.

  • Evolve the data model — manage durable SQL-backed storage (PostgreSQL), drive schema evolution with zero-regression fidelity, and ensure data correctness, idempotency, and reliable reprocessing and failure handling.

  • Drive enterprise scalability — own database performance, connection pooling, resource management, and platform reliability for a system that must handle hundreds of thousands of hosts per customer.

  • Translate batch logic into streaming designs — convert batch business logic (finding enrichment, attack path analysis, host and identity correlation and other core requirements) into streaming designs without regressing fidelity for existing customers.

  • Build and maintain shared platform infrastructure — contribute to common processing services that underpin features that enable customers to discover, prioritize, and report on weaknesses; support integration-test infrastructure including delta tracking and batch-transformation frameworks; build auto-discovery and code-generation tooling to accelerate new streaming service development.

  • Own operational excellence — maintain ETL dashboards and data-platform monitors, participate in on-call rotations and incident response for production processing failures, manage stuck-operation workflows, define SLOs, and set up instrumentation and alerting for systems that are central to every pentest Horizon3 runs.

  • Raise the technical bar — contribute through design reviews, technical writing, merge request reviews, clear API contracts with neighboring platform and product teams, and durable decision records.

Required Education/Experience

  • 4+ years of software engineering experience.

  • Proficiency in Python, Go, or similar languages with experience in large-scale production codebases.

  • Production experience with PostgreSQL including schema design, migrations, and query performance at scale.

  • Experience building and operating large scale distributed services in AWS (or comparable cloud), with containers and orchestration (Docker, Kubernetes).

  • Hands-on experience with production observability tooling (Datadog, OpenTelemetry, or similar).

  • Bachelor's degree in Computer Science, Computer Engineering, or a related field, or equivalent practical experience.

Desired Skills

  • Production experience with event-driven architectures or streaming platforms — Kafka strongly preferred; Kinesis or Flink also relevant.

  • Experience migrating a live system from batch to streaming, or decomposing a monolith into services, without customer-facing regression.

  • Experience with Redshift or other columnar/analytical data platforms.

  • ETL orchestration experience with Argo, Airflow, Temporal, or comparable tools.

  • Graph database experience (Neo4j) and graph data modeling alongside SQL.

  • Experience with data reconciliation, backpressure, replay, retries, and schema evolution at scale.

  • Background in cybersecurity, pentesting, or vulnerability management.

  • Experience with data-at-rest and in-transit encryption patterns (envelope encryption, KMS).

  • Base salary range: $170,000 - $235,000 annually. The exact salary will be determined based on the selected candidate’s location, qualifications, experience, and relevant skills.

Perks of Horizon3

  • Inclusive Team: We value diversity and promote an inclusive culture where everyone can thrive.

  • Remote Work: We are a 100% remote company. Enjoy the flexibility to work in the way that supports you and brings out your best.

Standard company text repeated across Horizon3.ai's postings is omitted here.

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