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Open nowPosted 13 hours ago

Sr Cloud Security Engineer

Entrata22 open roles

Where
Pune, India
Work mode
Hybrid
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Your applicationOpen nowSr Cloud Security EngineerEntrata · Pune, India
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The clock on this job

Early applications get read.

13.9% of postings close within 7 days. Measured by our own scanner across the market. Entrata postings stay open a median of 40 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted 13 hours ago

Entrata median: 40 days open

The posting

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.
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