DevSecOps & Product Security Engineer

Posted 4 Days Ago
Be an Early Applicant
Hyderabad, Telangana, IND
In-Office
400K-2M Annually
Senior level
Artificial Intelligence • HR Tech • Professional Services • Software
The Role
Hands-on engineer responsible for embedding security across application development, AI products, cloud infrastructure, and CI/CD pipelines. The role includes threat modeling, API and application security, Google Cloud and GitHub Actions hardening, vulnerability remediation, AI security assessments, security automation, incident response support, audit evidence, and penetration testing coordination.
Summary Generated by Built In

This role is for one of Weekday’s clients
Salary range: Rs 400000 - Rs 1500000 (ie INR 4 - 15 LPA)

Location: Hyderabad, India — Hybrid / On-site 

Employment Type: Full-time

Experience: 4–7 Years

Reports To: IT & Cloud Manager 

We're hiring a hands-on DevSecOps & Product Security Engineer to embed security across the software development and deployment lifecycle — spanning application security, cloud security, and DevSecOps practice for modern SaaS and AI-enabled platforms. A key focus area is Stratpilot, our AI-powered business platform integrating with enterprise systems such as email, calendars, documents, CRM tools, and internal data sources. This is an engineering-focused security role, not a SOC or monitoring function. You'll work directly with developers, architects, and cloud engineers to identify risk, automate controls, strengthen CI/CD pipelines, and drive vulnerabilities through to resolution. 


Requirements

What You'll Do 

Secure Development & Application Security 

• Implement security checks, scanning, and quality gates across the SDLC, and champion secure coding and remediation practices. 

• Review authentication, authorization, APIs, tenant isolation, and access controls — identifying and mitigating OWASP and API security risks through threat modelling. 

AI Product Security 

• Assess AI agents, prompts, connectors, and data-access risks, protecting against prompt injection, data leakage, tool misuse, and unsafe AI actions. Cloud & CI/CD Security 

• Secure Google Cloud environments — IAM, service accounts, networking, secrets, and workloads — enforcing least privilege and environment separation. 

• Harden GitHub Actions, dependencies, and deployment pipelines with secret protection, SCA, SBOM, and secure release processes. 

Vulnerability Management & Monitoring 

• Establish a process to identify, prioritize, and track vulnerabilities, coordinating remediation and validating fixes. 

• Strengthen security logging, alerting, and investigation capability, and support incident response, RCA, and security drills. 

Security Assurance 

• Maintain audit-ready security evidence, and support penetration testing, compliance activity, and security architecture documentation. 

What We're Looking For 

Must-Have 

• Hands-on DevSecOps and application/API security experience, with working knowledge of OWASP Top 10, Python backends, and React applications. • Strong GitHub and CI/CD security experience — pull requests, GitHub Actions, SAST, dependency and secret scanning. 

• Experience securing Google Cloud environments: IAM, service accounts, least-privilege access, and containerized workloads. 

• A track record of cutting through scanner noise to assess real risk and drive practical remediation. 

• Strong communicator who's hands-on fixing issues, not just reporting them. 

Good to Have 

• Securing AI platforms, SaaS integrations, or sensitive data pipelines. 

• PostgreSQL and Infrastructure-as-Code security, GCP Security Command Center, and container/Kubernetes platforms. 

• Familiarity with CodeQL, Semgrep, SonarQube, Dependabot, Trivy, OWASP ZAP, or Burp Suite. 

• Exposure to SIEM, cloud monitoring/MDR, and frameworks such as SOC 2 or ISO 27001. 

• Security experience with AI/LLM systems, agents, and RAG-based applications. 

You'll Thrive Here If You 

• Enjoy working closely with engineers and product teams, and move fluidly between code, cloud, and security analysis. 

• Prefer automation over manual process, and see security as an enabler of delivery, not a blocker. 

• Take ownership of issues through to resolution and can explain complex risk in simple, practical terms. 

• Are curious about AI-driven product security challenges. 

Why us: 

• Work across multiple modern product engineering teams and influence security architecture on real production systems. 

• Build hands-on depth in AI security, cloud security, and application security — all in one role. 

• Build scalable security automation used across multiple global clients. 

• Partner directly with engineering, architecture, and product leadership — no ivory-tower security. We value practical experience and real-world problem-solving over certifications or tool checklists.

Must-have skills

DevSecOps

Good-to-have skills

Application & API Security

Skills Required

  • 4-7 years of relevant professional experience
  • Hands-on DevSecOps and application/API security experience
  • Working knowledge of the OWASP Top 10
  • Experience with Python backends and React applications
  • GitHub and CI/CD security experience, including pull requests, GitHub Actions, SAST, dependency scanning, and secret scanning
  • Experience securing Google Cloud environments, including IAM, service accounts, least-privilege access, and containerized workloads
  • Ability to assess scanner findings, determine real risk, and drive practical remediation
  • Strong communication and hands-on issue resolution skills
  • Experience securing AI platforms, SaaS integrations, or sensitive data pipelines
  • Experience with PostgreSQL, Infrastructure as Code security, GCP Security Command Center, and container or Kubernetes platforms
  • Familiarity with CodeQL, Semgrep, SonarQube, Dependabot, Trivy, OWASP ZAP, or Burp Suite
  • Exposure to SIEM, cloud monitoring or MDR, SOC 2, or ISO 27001
  • Security experience with AI/LLM systems, agents, and RAG-based applications
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The Company
HQ: Stockholm
Year Founded: 2021

What We Do

Weekday is an AI-powered recruitment platform that helps startups hire top-tier engineering and product talent. By leveraging a massive database of white-collar professionals and advanced outreach tools, the company streamlines the hiring process through automated sourcing, AI-driven resume screening, and white-glove contingency services. Their mission is to modernize recruitment by enabling companies to discover and engage passive candidates efficiently, ensuring high-quality hires for critical roles.

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