Cloud Security – Python Coding

🕒 July 3

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 19%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

SRM Technologies

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1998

📦 Logistics

💼 Consulting

🏭 Manufacturing

Logistics • Consulting • Manufacturing

SRM Technologies is a leading provider of Product Engineering, Automotive Solutions, and Digital Transformation services. With over 25 years of experience, the company specializes in mobility solutions, cloud technologies, data analytics, and artificial intelligence to help enterprises enhance their operational efficiency and innovate their product offerings. SRM Tech focuses on diverse industries such as automotive, healthcare, consumer and retail, telecommunications, and education, leveraging technology to drive business success and agility.

📋 Description

• Analyze and document cloud, email, endpoint, and security monitoring findings • Produce documentation covering risk assessment, severity classification, impact analysis, and recommended remediation actions • Maintain findings documentation in ticketing systems, reports, or designated platforms • Triage, investigate, and classify security alerts across cloud and security platforms • Maintain investigation records covering analysis, containment or mitigation actions, escalation details, and final alert disposition • Secure AI/ML workloads in cloud environments, including training pipelines, data storage, and inference endpoints • Monitor AI service usage, including third-party AI APIs, for anomalies, misuse, or unauthorized access • Collaborate with engineering teams on secure AI service deployment and cloud security best practices • Contribute to governance and policy development for responsible and secure cloud AI usage • Conduct secure configuration reviews across cloud environments • Perform IAM assessments and analyze CSPM findings • Document posture assessment results and recommend security posture improvements • Support continuous monitoring and tuning of cloud security controls • Design, develop, and maintain security automation scripts and workflow enhancements • Create automation artifacts using scripting languages such as Python • Document automation usage for ongoing operation and maintenance by internal teams • Build cloud security infrastructure using infrastructure-as-code tools such as Terraform • Prepare periodic cloud security operational reports covering alert volumes, trends, remediation progress, posture improvements, and tool tuning • Present concise status updates to stakeholders as requested • Support investigation and response to cloud security incidents • Contribute to incident reports, investigation summaries, timelines, and technical analysis • Assist with root-cause analysis and corrective action recommendations

🎯 Requirements

• Bachelor’s degree in computer science, Cybersecurity, or related field • 5+ years of experience in Cloud Security / Security Operations • Hands-on experience with AWS, Azure, GCP, or OCI security services • Strong knowledge of IAM, network security, and cloud-native security controls • Experience with CSPM tools and EDR platforms like CrowdStrike • Familiarity with SIEM tools and incident response processes • Hands-on experience with identity-aware access solutions such as Teleport or similar platforms for secure access to infrastructure and services • Proficiency in scripting languages like Python • Foundational understanding of securing AI/ML workloads in cloud environments, including model access control, API security, and data protection • Certifications such as AWS Security Specialty, Azure Security Engineer, CCSP, or CISSP (preferred) • Experience with automation, SOAR platforms, or DevSecOps practices (preferred) • Exposure to compliance frameworks such as ISO 27001 and SOC 2 (preferred) • Understanding of email security protocols SPF, DKIM, and DMARC (preferred)