Independently perform threat analysis, incident response, and remediation activities.
Architect and implement cloud security infrastructure and automation solutions.
Lead security-related project work and drive cross-functional initiatives to completion.
Apply expert-level knowledge of cloud platforms, especially AWS, to improve system security and performance.
Ability to prioritize tasks effectively by meeting deadlines and managing workload efficiently.
Maintain professional interaction with internal and external stakeholders
- Ability to work in a fast-paced and high-stress environment
- Minimum Qualifications
- Advanced proficiency with cloud service providers, including AWS, Google Cloud Platform, and Azure.
Strong experience with tools and practices in DevOps/DevSecOps, including Terraform, Kubernetes, CI/CD, and cloud-native security solutions.
Demonstrated ability to analyze complex security incidents and apply secure design principles in cloud environments.
Proficient in scripting or programming languages such as Bash, Python, or PowerShell.
Strong collaboration, communication, and stakeholder engagement skills; experience working in Jira-based environments.
- Deep knowledge of cloud security concepts including identity management, encryption, authentication, and regulatory compliance (ISO, SOC, NIST).
- Education and Experience Requirements
- Bachelor’s degree in Computer Science, Information Security, or related field.
Minimum of 8 years of relevant experience in SRE, DevOps, or Security Engineering roles.
AWS Certified Solutions Architect – Associate (required); additional certifications such as AWS Security Specialty, Terraform Associate, or SysOps Administrator are preferred.
- Proven experience designing and operating secure cloud infrastructure at scale in a fast-paced, high-growth environment.
- AI & Operational Fluency
- AI Integration: Utilize company-approved GenAI tools to accelerate high-value deliverables.
Strategic Oversight: Exercise critical judgment as the "Human-in-the-Loop," by auditing AI outputs for factual accuracy, brand alignment, and the removal of hallucinations.
Data Governance: Ensures no proprietary or Personally Identifiable Information (PII) data is exposed to unauthorized models.
Prompt Competency: Demonstrates the ability to craft clear, context-rich prompts to achieve consistent, high-quality results across various business domains.
