Senior / Staff Software Engineer - Integration Team

Stellar Cyber; Oregon; Hybrid; USD 160,000 - 245,000; Full time

Benefits offered by this job

Pre‑IPO Stock Options (equity)?

Medical, Dental & Vision care

Life Insurance

401(k)

Employee Assistance Program

Employee Discount Program

Paid time off

Referral Program

Rewards and Recognition Program

Job summary

Stellar Cyber, a fast-growing cybersecurity company, seeks a Senior or Staff Software Engineer to own one or more integration domains on our AI-powered SecOps platform. You will build robust, microservice‑based integrations (REST, GraphQL, streaming) and drive parsing/normalization for hundreds of data sources.

You will lead architecture decisions, mentor engineers, and collaborate with detection and data teams to ensure ingested data supports downstream analytics.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
• 5+ years of backend software development experience, including integration, data parsing, or log processing work, with 1+ years as a technical lead or proven experience in taking full ownership of a project.
• Strong proficiency in at least one general‑purpose programming language (e.g., Python, Go, Java, or C++) with a track record of writing production‑quality code.
• Experience with API design and integration (REST, GraphQL, streaming), including secure API patterns (OAuth, API keys, rate limiting).
• Solid understanding of common log and data formats (JSON, XML, CSV, syslog, key‑value, unstructured text), regular expressions, and data normalization and schema design.
• Demonstrated ability to use AI tools (e.g., Copilot, Cursor, Claude, ChatGPT) to meaningfully accelerate engineering workflows—not just experimentation, but regular use in production work.
• Strong problem‑solving skills and clear communication with both engineers and non‑technical stakeholders.

Responsibilities

• Own one or more integration domains end‑to‑end: roadmap, architecture decisions, trade‑offs, and delivery.
• Own and evolve shared integration frameworks, such as the parser framework: identify patterns worth abstracting and improve reliability and testability.
• Make design calls on schema mapping, normalization trade‑offs, and handling of ambiguous or malformed data.
• Partner with detection and data teams to ensure ingested data serves downstream use cases, not just passes validation.
• Mentor junior engineers through design discussions and code reviews.

Skills

Python

Go

Java

C++

API design

REST

GraphQL

Streaming APIs

Data normalization

Schema design

AI tooling

Team leadership

Education

Bachelor's or Master’s degree in Computer Science, Engineering, or a related field

Tools

Kafka

Spark

Docker

Kubernetes

Celery

Airflow

Job description

Join a fast-growing global leader in cybersecurity, trusted by some of the biggest names in the industry. In addition to some of the world's largest enterprises and government agencies, more than 30% of the world's top MSSPs rely on our platform. We're at the frontier of protecting organizations against sophisticated cyber threats using cutting‑edge AI and automation technologies. Our culture is built on diversity, openness, and collaboration, fostering creativity and innovation that drives real impact in the market.

Position Overview

We are looking for a Senior or Staff Software Engineer to take ownership of one or more integration domains on our Automation-Driven Open & Unified SecOps Platform (powering our AI-driven SIEM, NDR, Open XDR, and Multi‑Layer AI).This role requires delivering robust, production‑grade integrations that support our growing customer base, while driving the architecture forward so the platform can scale to the next level. You will deliver microservice‑based solutions spanning both traditional and AI‑native integration patterns—REST, GraphQL, streaming APIs, MCP, and LLM‑powered automation—connecting our platform with a wide range of cybersecurity tools and third‑party services. You will also design, develop, and maintain the parsing and normalization components that turn raw security data from hundreds of sources into the unified schema our detection and analytics engines rely on.

Please note, as part of our interview process, we will be inviting successful finalists for an on‑site interview to meet with our team.

What You Will Own

• Own one or more integration domains end‑to‑end: roadmap, architecture decisions, trade‑offs, and delivery. You identify what needs solving, scope it, and drive it to completion.
• Own and evolve shared integration frameworks, such as the parser framework: identify patterns worth abstracting, design the primitives other engineers build on, improve performance on hot paths, and raise the reliability and testability bar across the team’s output.
• Make the design calls that require judgment—schema mapping, normalization trade‑offs, how to handle ambiguous or malformed data, when to generalize versus when to special‑case, when to evolve the framework versus work around it.
• Partner with detection and data teams to make sure ingested data serves downstream use cases, not just passes validation.
• Mentor junior engineers through design discussions and code reviews, helping them grow into independent owners.

What you’ll use AI to amplify

• Accelerate your own design and development workflow using LLM‑based coding assistants, AI‑driven testing, and automated code review.
• Use LLMs to analyze unfamiliar log samples, propose initial parsing rules, and bootstrap new integrations faster—while applying human judgment to catch what AI gets wrong.
• Automate repetitive engineering tasks—builds, deployments, monitoring, incident triage, parser regression testing, schema diffing—using AI and scripting, so the team spends more time on high‑value work.
• Champion AI adoption across the team: help colleagues integrate AI tools into their daily work, build internal tooling where it adds leverage, and measure the efficiency gains.

Requirements

• Bachelor's or Master’s degree in Computer Science, Engineering, or a related field
• 5+ years of backend software development experience, including integration, data parsing, or log processing work, with 1+ years as a technical lead or proven experience in taking full ownership of a project.
• Strong proficiency in at least one general‑purpose programming language (e.g., Python, Go, Java, or C++), with a track record of writing production‑quality code in it.
• Experience with API design and integration (REST, GraphQL, streaming), including secure API patterns (OAuth, API keys, rate limiting).
• Solid understanding of common log and data formats (JSON, XML, CSV, syslog, key‑value, unstructured text), regular expressions, and data normalization and schema design.
• Demonstrated ability to use AI tools (e.g., Copilot, Cursor, Claude, ChatGPT) to meaningfully accelerate engineering workflows—not just experimentation, but regular use in production work. You have the judgment to know when AI output is trustworthy and when it needs human expertise.
• Strong problem‑solving skills and clear communication with both engineers and non‑technical stakeholders.

Preferred Qualifications

• Experience in cybersecurity domains (SOAR, EDR, SIEM, XDR, firewalls, IDS/IPS, cloud security services) and the kinds of data security tools emit.
• Experience building and operating microservices in production.
• Hands‑on experience with large‑scale data processing, real‑time pipelines, or event‑driven architectures (e.g., Kafka, Spark).
• Strong background in distributed systems, message queues (Kafka, RabbitMQ), or orchestration frameworks (Celery, Airflow, or similar).
• Familiarity with cloud platforms (AWS, Azure, GCP) and their logging services (CloudWatch, Azure Monitor, Cloud Logging), and containerized deployments (Docker, Kubernetes, Helm).
• Experience with AI service integration (LLM APIs, embedding services) or AI‑native integration patterns—such as MCP (Model Context Protocol), function calling, or agent orchestration frameworks—or hands‑on experience building systems that incorporate LLMs or AI services into workflows or product features.
• Hands‑on experience using LLMs for log analysis, parser generation, or schema inference—or building internal tooling that applies AI to data engineering workflows.

Why Join Us

• Work at the forefront of cybersecurity innovation within a dynamic, fast‑growing team.
• Opportunity to significantly influence and shape the integration architecture of a next‑generation SecOps platform powered by AI and automation.
• Competitive salary and ample career growth opportunities.

Benefits

• Pre‑IPO Stock Options (equity opportunity)
• Medical, Dental & Vision care
• Life Insurance
• 401(k)
• Employee Assistance Program
• Employee Discount Program
• Paid time off
• Referral Program
• Rewards and Recognition Program

The salary for this role will be between USD $160,000 to $245,000 per year. The salary at offer will be determined by a number of factors such as candidate's location, experience, knowledge, skills and abilities.