[Hiring] Staff Application Security Engineer @Upside

Role Description

You'll report to the Product Security Manager and work closely with our Cloud Security and Engineering teams to scale secure software delivery across Upside. This role owns our application security program, reducing real risk across mobile, web, and cloud systems by driving remediation, building engineering guardrails, and creating security guidance that developers actually use.

You'll also work both sides of the AI problem:

• We use AI to do security work, and we secure the AI systems we're building.

If you came into security from a product engineering background, we'd especially love to hear from you.

• Own Upside's application security program, the standards, the vulnerability management pipeline, and the guardrails that stop entire classes of defects from coming back.
• Drive vulnerability management outcomes by triaging and tuning findings from scanning, code review, and our annual penetration test, then partnering with engineering teams to get fixes shipped and verified.
• Lead application security reviews and threat models for high-impact work across mobile, web, and backend systems, and document risk decisions with clear mitigation plans.
• Review and threat model agentic AI workflows, and define security controls for tool use, data access, and action execution.
• Extend the AI automation that handles our finding volume: triage, prioritization with service context, and remediation guidance engineers can act on.
• Build guardrails that scale beyond our team; repository baselines, required checks in GitHub, secure-by-default patterns for AWS workloads, reusable templates, and a security champions program.

Qualifications

• 6+ years in application or product security or equivalent depth in secure software engineering with meaningful application security ownership.
• Strong Python code review skills, you can open a Lambda, understand what it does, and explain to the engineer who wrote it exactly what's wrong and why.
• A track record of shipping security improvements that reduced real risk, not just running scanners or writing policy, you can point to fixes that landed, were verified, and to remediation you drove across teams you didn't own.
• Experience with threat modeling and secure design review, engaging with designs before they ship, not only with code after the fact.
• Practical, everyday use of AI in your security work; this is about how you already work, not a tool you've tried once.
• Working knowledge of our stack: AWS security (Lambda, API Gateway, IAM least privilege, secrets handling) and CI/CD security in GitHub Actions, depth in the underlying mechanics matters more here than years in any one platform.

Requirements

• Tools We Use:
• GitHub: Actions, Advanced Security, Copilot
• Python, Terraform
• AWS: Lambda, API Gateway, IAM, DynamoDB, S3, SNS, SQS, VPCs
• Snowflake, SQL, dbt, Dagster
• Claude, Claude Code, Amazon Bedrock

Benefits

• Medical, dental, and vision coverage starting on Day 1
• Equity (ISOs)
• 401(k) program
• Family planning programs + paid parental leave
• Physical fitness and wellness memberships
• Emotional and mental health support programs
• Unlimited PTO + 10 paid federal holidays + our annual, week-long Winter Break
• Flexible work environment
• Lunch reimbursement for in-office employees
• Employee Resource Groups
• Learning and Development stipend
• Transparent culture
• Amazing mission!