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Mira Labs Ai
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MIRA is AI co-pilot in mortgage platform improves borrower, sales operational experience

Senior Product Security & DevSecOps Engineer

  • No equity
  • |
    Hinjawadi Rajiv Gandhi Infotech Park
  • |5 years of exp
  • |Full Time
Posted: yesterday• Recruiter recently active
Job Location
Hinjawadi Rajiv Gandhi Infotech Park
Remote Work Policy

In office

Visa Sponsorship

Not Available

Preferred Timezones
Central Time
RelocationAllowed
Skills
API
Security

About the job

Employment Type: Full-time | Experience: 5–8+ years

Work Arrangement: Primarily in-office; no work-from-home flexibility

Working Hours: U.S. Central Time (evening/night shift in India)

About MIRA Labs
MIRA Labs is building an AI-powered mortgage technology platform that streamlines lending workflows, document processing, and decision-making for enterprise customers across the U.S. and Canada.
We are seeking a hands-on Senior Product Security & DevSecOps Engineer to own security across our applications, cloud infrastructure, CI/CD pipelines, and AI-powered systems.

Key Responsibilities

  • Application & API Security: Secure React and Python/FastAPI applications, conduct code reviews, address vulnerabilities, and implement OWASP-aligned security controls.
  • DevSecOps & CI/CD: Secure GitHub repositories and Actions workflows, implement automated security scanning, and protect software delivery pipelines.
  • Cloud Security: Strengthen security across AWS and Azure, including IAM, Kubernetes, containers, networking, and infrastructure configurations.
  • Identity & Secrets Management: Implement least-privilege access, MFA, credential rotation, and secure secrets management.
  • Security Monitoring & Incident Response: Investigate security incidents, monitor suspicious activity, perform root-cause analysis, and improve response procedures.
  • Vulnerability Management: Conduct security assessments, threat modeling, penetration testing coordination, and vulnerability remediation.
  • AI & LLM Security: Protect AI agents and LLM integrations against prompt injection, data leakage, unauthorized tool execution, and cross-tenant access.
  • Compliance & Governance: Support SOC 2, ISO 27001, ISO 42001, enterprise security assessments, and security documentation.

Required Qualifications

  • 5–8+ years of experience in Application Security, Product Security, Cloud Security, or DevSecOps.
  • Hands-on experience securing production SaaS applications and GitHub Actions CI/CD pipelines.
  • Strong knowledge of AWS, Azure, IAM, OAuth 2.0, OIDC, JWT, RBAC, and secrets management.
  • Experience with Python code reviews, REST API security, OWASP standards, and vulnerability remediation.
  • Practical experience with SAST, DAST, SCA, secret scanning, and container security.
  • Familiarity with Docker, Kubernetes, and infrastructure as code.
  • Experience in security monitoring, incident response, and cloud log investigations.
  • Strong problem-solving skills and the ability to work independently with engineering teams.

Preferred Qualifications

  • Experience in fintech, banking, mortgage technology, or regulated SaaS.
  • Familiarity with Azure Key Vault, HashiCorp Vault, AWS CloudTrail, AKS, and AWS ECS.
  • Experience with SOC 2, ISO 27001, AI security, and OWASP LLM security guidance.
  • Certifications such as OSCP, CSSLP, CISSP, AWS Security Specialty, or AZ-500 are a plus.

First 90-Day Goals

  • Assess application, cloud, repository, and CI/CD security.
  • Identify and prioritize critical risks.
  • Implement essential security controls and automated scanning.
  • Strengthen secrets management and privileged access.
  • Establish monitoring, incident-response procedures, and a measurable remediation roadmap.
  • Integrate security checks into the software release lifecycle.

About the company

Mira Labs Ai company logo

Mira Labs Ai

Actively Hiring
More jobs
MIRA is AI co-pilot in mortgage platform improves borrower, sales operational experience11-50 Employees
Company Size
11-50
Company Type
SaaS
Company Type
Artificial Intelligence
Company Type
Enterprise Software Company
Company Industries
Artificial Intelligence / Machine Learning
Company Industries
B2B · SaaS · Mobile · Artificial Intelligence / Machine Learning
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Founders

Suketu Gaglani
CEO • 3 years
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