Software Dev Engineer II View Jobs
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About the role
Job Profile: - Software Development Engineer II
Years of Experience: 3 - 5
Location: Bangalore
Position Overview:
We're looking for a Senior Security Operations Engineer to join our Security team. You'll own offensive security programs, lead penetration testing initiatives, and help build a security-first culture across engineering. This role sits at the intersection of traditional AppSec and emerging AI security threats - you'll be one of the few people in the industry who gets to define what "secure AI" looks like in practice.
What qualities are we looking for?
Must-Have
4+ years in security engineering, with at least 2 years of hands-on penetration testing
Demonstrated experience with AI/LLM security - prompt injection, model manipulation, or MCP security assessments
Strong proficiency in web app and API pentesting (OWASP Top 10, business logic flaws, auth bypasses)
Solid scripting ability in Python, Go, or Bash to build custom tooling
Experience with cloud security (AWS, GCP, or Azure) - misconfigurations, IAM abuse, lateral movement
Familiarity with CI/CD security tooling - integrating SAST/DAST/SCA into pipelines
Experience conducting risk assessments and communicating findings to non-technical stakeholders
Good to Have
Bug bounty track record or CVE publications
Experience with agentic AI frameworks (LangChain, AutoGPT, Claude Agents) from an attacker's perspective
Knowledge of compliance frameworks: SOC 2, ISO 27001, PCI-DSS
What will you get to do here?
Penetration Testing (Primary)
Lead and execute end-to-end penetration tests across web applications, APIs, internal services, and cloud infrastructure
Design and run red team exercises simulating real-world adversarial scenarios
Perform threat modeling on new product features and architectures before they ship
Develop custom exploits, scripts, and tooling to improve test coverage and repeatability
Produce clear, actionable pentest reports for both engineering and leadership audiences
Manage third-party pentest vendors and coordinate responsible disclosure programs
AI & LLM Security
Research and execute attacks against AI/LLM-powered systems - prompt injection, jailbreaks, indirect prompt injection via tool outputs, and data exfiltration through model responses
Assess security risks in Model Context Protocol (MCP) deployments - evaluate tool call boundaries, context poisoning vectors, and privilege escalation through agentic workflows
Build an internal threat library for AI attack patterns and maintain a red-teaming playbook for LLM features
Partner with ML and product teams to bake security into the AI feature development lifecycle
DevSecOps
Embed security controls into CI/CD pipelines - SAST, DAST, SCA, secret scanning, and container scanning
Define and enforce secure coding standards and review gates across teams
Champion security automation so engineers can move fast without introducing critical vulnerabilities
Risk Assessment (Supporting)
Assess and prioritize security risks across the organization using frameworks such as CVSS, DREAD, or FAIR
Maintain a live risk register; track remediation progress and report risk posture to leadership
Evaluate risks introduced by third-party vendors, integrations, and open-source dependencies
Quantify business impact of vulnerabilities to support data-driven remediation prioritization
Compliance & Governance (Supporting)
Assist in security audits and gap assessments
Help define and maintain security policies, standards, and exception processes
Visit our tech blogs to learn more about some the challenges we deal with:
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