Senior Software Engineer, Investigations

SpyCloud • Austin, TX

9d • Remote

About The Position

SpyCloud is looking for a Senior Software Engineer to join the Investigations team. This role involves working on the SpyCloud Console, where analysts use the system to investigate leads starting with a single identifier (like an email or username) and resolving it into associated personas and breach/malware records. The system handles billions of records and requires answers in seconds. The engineer will work across the entire module, including a Go API, a React front end with an entity-relationship graph, and a Python agent for natural language query processing. This is a new area of the product, offering the opportunity to shape its future. The tech stack includes React, Vite, TypeScript, Golang, REST APIs, Python, AWS Bedrock, LangGraph, PostgreSQL, Databricks, AWS, Docker, and Terraform.

Requirements

• At least 5 years delivering production software, including work other teams depended on, and the judgment to know a design is wrong before it's expensive.
• Depth in Go or TypeScript, and quick to pick up the other.
• Designs, versions, and evolves RESTful APIs other teams depend on.
• Fluent with PostgreSQL and with large analytical datasets
• Strong fundamentals in data structures, algorithms, and system design.
• Production experience with AWS Lambda, API Gateway, ECS, and EC2.
• Sharp writing. Specs and design docs are the primary artifact, for humans and agents both.
• Full lifecycle fluency: code review, source control, build and deploy. We use GitHub, GitHub Actions, and AWS CodeBuild.
• Owns testing, CI/CD, observability, and on-call for what you ship.
• Ships production code with agentic tools, and can say where they failed and what changed.
• Decomposes ambiguous problems into work an agent can execute.
• Reads unfamiliar code fast and catches the plausible-but-wrong.
• Treats AI output as a draft, not an answer.
• Digs into unfamiliar parts of a system rather than routing around them.
• Learns deliberately, and can point to something picked up recently.

Nice To Haves

• Built an internal tool or agent workflow that other engineers adopted.
• Built evals, golden datasets, or regression checks for LLM output, whether a product feature or code generation.
• Adopted an AI-native delivery method such as spec-driven development or AWS's AI-DLC, including the agent rules that make it repeatable.
• Large-scale data processing with Spark or Databricks.
• Python for agent work, such as LangGraph or Bedrock.
• Background in cybersecurity or identity threat protection.

Responsibilities

• Feature Development: Take work from ambiguous business intent through to a shipped, operated service, directing AI agents through planning, implementation, and test generation, and staying accountable for the result.
• Own production outcomes for Investigations: reliability, performance, and cost.
• Troubleshoot customer-reported issues, including the ones that turn out to be a query plan change.
• Technical Leadership: Make and defend design decisions on a module you will know better than anyone outside the team.
• Set technical direction for Investigations, including the specs, context, and guardrails that decide whether agent-generated work is any good.
• Own verification when generation is cheap.
• Raise the bar on testing, observability, and the interfaces between our module and the Console platform it deploys into.
• Team Collaboration and Improvement: Adopt existing team practices and recommend improvements as needed.
• Mentor engineers on the team, including how to work with agents effectively, and help build a culture of continuous learning.
• Improve how the team builds, including the AI tooling and evaluation harnesses we use to move faster without shipping regressions.

Benefits

• 401(k) with Employer Contribution
• Health, Vision, and Dental Insurance
• Health Savings Account (HSA) available with Employer Contribution
• Employer Paid Life, Short-term, and Long-term Disability Insurance
• Generous PTO Plan and 16 paid holidays per year
• Retirement Savings Plan with Employer Contribution
• Employer Provided Private Health Insurance and Healthcare Cashplan
• Employer Paid Life Insurance, Income Replacement, and Critical Illness Protection
• Employee Assistance Program
• 25 days annual accrued holiday plus 8 paid bank holidays and a paid company shutdown during winter holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed