Sr Cloud Security Engineer

Entrata India

Pune

On-site

INR 3,500,000 - 6,000,000

Full time

24 hours ago
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Job summary

Entrata India is seeking a Sr. Cloud Security Engineer to identify and mitigate threats, architect cloud security solutions, and respond to incidents across Entrata’s cloud environments.

You will collaborate with CloudOps, IT, and Security Operations to support scalable, secure infrastructure. The role requires advanced technical acumen, independent judgment, and the ability to drive security initiatives that align with company objectives and best practices, including AI & operational fluency

Qualifications

  • Advanced proficiency with cloud providers (AWS, GCP, Azure).
  • Experience with DevOps/DevSecOps tooling including Terraform, Kubernetes, CI/CD, and cloud-native security solutions.
  • Ability to analyze security incidents and apply secure design principles in cloud environments.
  • Scripting in Bash, Python, or PowerShell.
  • Strong collaboration and stakeholder engagement; Jira experience.
  • Deep knowledge of cloud security concepts including IAM, encryption, authentication, and regulatory compliance (ISO, SOC, NIST).

Responsibilities

  • Maintain secure, scalable cloud and Kubernetes environments (PCI-compliant).
  • Lead incident investigations and vulnerability management.
  • Refine telemetry data with security operations for actionable insights.
  • Develop automated security frameworks using infrastructure-as-code.
  • Mentor junior team members and drive security initiatives.
  • Perform threat analysis, incident response, and remediation.
  • Architect and implement cloud security infrastructure and automation.
  • Lead security-related projects and cross-functional initiatives.
  • Apply expert knowledge of AWS to improve security and performance.
  • Prioritize tasks and manage workload in a fast-paced environment.
  • Maintain professional relations with internal and external stakeholders.
  • Work effectively in high-stress environments.

Skills

Bash
Python
PowerShell

Education

Bachelor’s degree in Computer Science or related field

Tools

AWS
GCP
Azure
Terraform
Kubernetes
CI/CD

Job description

The Sr. Cloud Security Engineer plays a critical role within Entrata’s cybersecurity organization. This position is responsible for identifying and mitigating security threats, architecting cloud security solutions, and responding to security incidents across Entrata’s cloud environments. The engineer collaborates cross-functionally with CloudOps, IT, and Security Operations teams to support scalable, secure, and compliant cloud infrastructure. This role requires advanced technical acumen, independent judgment, and the ability to drive security initiatives that align with company objectives and best practices.

Responsibilities
  • Collaborates with cross-functional engineering teams to maintain and enhance secure, scalable, and PCI-compliant cloud and Kubernetes environments.
  • Leads incident investigations and vulnerability management efforts, delivering tactical solutions and long-term strategic improvements.
  • Partners with application and security operations teams to refine telemetry data and drive actionable insights to strengthen Entrata’s security posture.
  • Evaluates complex security problems, develops creative solutions, and recommends new policies or tools in alignment with business goals.
  • Drives security uplift projects and participates in the development of automated security frameworks using infrastructure-as-code.
  • Mentors junior team members and contributes thought leadership across the security domain.
  • 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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