DevSecOps & Product Security Engineer

Weekday AI; Hyderabad; Hybrid; INR 400,000 - 1,500,000; Full time

Job summary

Weekday AI in Hyderabad is seeking a hands-on DevSecOps & Product Security Engineer to embed security across the software development and deployment lifecycle for SaaS and AI-enabled platforms. You will work with developers, architects, and cloud engineers to identify risk, automate controls, and drive vulnerabilities through to resolution.

The role emphasizes secure CI/CD, cloud security in Google Cloud, vulnerability management, and security evidence.

Qualifications

• Hands-on DevSecOps and application/API security experience.
• Working knowledge of OWASP Top 10 and secure coding practices.
• Experience securing Google Cloud environments (IAM, service accounts, least-privilege).
• Ability to identify risk and drive remediation across CI/CD pipelines.
• Strong communicator who fixes issues hands-on, not just reports them.

Responsibilities

• Implement security checks, scans, and gates across the SDLC.
• Review authentication, APIs, tenant isolation and access controls for risk mitigation.
• Assess AI agents, prompts, connectors, and data-access risks.
• Secure Google Cloud environments and harden CI/CD pipelines.
• Establish vulnerability management and monitoring processes.
• Maintain audit-ready security evidence and support testing/compliance.

Skills

DevSecOps

Application security

API security

OWASP Top 10

Python backends

React applications

GitHub Actions

CI/CD security

Cloud security

Effective communication

Tools

GitHub Actions

SAST

Dependency scanning

Secret scanning

Semgrep

SonarQube

Dependabot

Trivy

OWASP ZAP

Burp Suite

Job description

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.

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