Posted 27 May, 2026
565015_Java, React, AWS
ClifyX
India
Full Time
Reference: 365_594563_26-04613
We are looking for an experienced DevOps engineer with excellent programming skills to lead
automation and integration efforts within our Cyber Defense function.
The engineer will design, develop, and maintain tooling, workflows, and integrations that
improve the speed, accuracy, and effectiveness of our detection, investigation, and response
processes.
Key Responsibilities
• Automation & Integration
o Design, build, and maintain automation workflows across SIEM, SOAR, EDR,
threat intelligence, and vulnerability management platforms.
o Create API-based integrations, event-driven workflows, and custom
scripts/libraries to connect disparate systems.
o Deliver reusable automation frameworks and toolkits for security teams.
• DevOps Implementation
o Apply CI/CD, Infrastructure-as-Code, and containerization best practices to
deployment of automation services.
o Ensure high availability, scalability, and security of developed solutions.
• AI / Machine Learning
o Develop and deploy AI/ML models for anomaly detection, predictive analytics,
and NLP in cybersecurity contexts.
o Integrate AI-driven capabilities into security automation pipelines.
• Collaboration
o Work closely with SOC, Incident Response, Threat Intelligence, and
Infrastructure teams to gather requirements and deliver targeted solutions.
o Document solutions, establish automation best practices, and mentor team
members.
Mandatory Skills & Experience
• Experience:
o 7+ years in DevOps, software engineering, or automation engineering roles.
o 4+ years working in a cybersecurity engineering environment.
• Technical Expertise:
o Strong programming skills: Python and JavaScript
o Proven ability to integrate tools & platforms via REST/GraphQL APIs, webhooks,
and SDKs.
o Hands-on experience with DevOps toolchains — Git, Docker, Kubernetes,
Terraform/Ansible, CI/CD systems.
o Experience with cloud platforms (AWS, Azure, GCP) and their security services.
o Familiarity with SIEM (Splunk, ELK), SOAR (Cortex XSOAR, TheHive/Cortex),
and EDR (CrowdStrike) platforms.
• AI/ML Skills:
o Hands-on experience with ML frameworks (TensorFlow, PyTorch, scikit-learn,
Hugging Face).
o Applied AI/ML for security datasets or operational automation.
• Soft Skills:
o Analytical problem solving, excellent communication, and ability to work
independently with minimal supervision.
Candidate Profile Summary (for Screening Use)
• Strong DevOps background.
• Expertise in Python and JavaScript is must.
• Familiarity with cybersecurity tools/operations.
• Proven automation & integration record is a must.
• Practical AI/ML application experience in security contexts.
• Senior-level self-starter, able to run projects end-to-end.
automation and integration efforts within our Cyber Defense function.
The engineer will design, develop, and maintain tooling, workflows, and integrations that
improve the speed, accuracy, and effectiveness of our detection, investigation, and response
processes.
Key Responsibilities
• Automation & Integration
o Design, build, and maintain automation workflows across SIEM, SOAR, EDR,
threat intelligence, and vulnerability management platforms.
o Create API-based integrations, event-driven workflows, and custom
scripts/libraries to connect disparate systems.
o Deliver reusable automation frameworks and toolkits for security teams.
• DevOps Implementation
o Apply CI/CD, Infrastructure-as-Code, and containerization best practices to
deployment of automation services.
o Ensure high availability, scalability, and security of developed solutions.
• AI / Machine Learning
o Develop and deploy AI/ML models for anomaly detection, predictive analytics,
and NLP in cybersecurity contexts.
o Integrate AI-driven capabilities into security automation pipelines.
• Collaboration
o Work closely with SOC, Incident Response, Threat Intelligence, and
Infrastructure teams to gather requirements and deliver targeted solutions.
o Document solutions, establish automation best practices, and mentor team
members.
Mandatory Skills & Experience
• Experience:
o 7+ years in DevOps, software engineering, or automation engineering roles.
o 4+ years working in a cybersecurity engineering environment.
• Technical Expertise:
o Strong programming skills: Python and JavaScript
o Proven ability to integrate tools & platforms via REST/GraphQL APIs, webhooks,
and SDKs.
o Hands-on experience with DevOps toolchains — Git, Docker, Kubernetes,
Terraform/Ansible, CI/CD systems.
o Experience with cloud platforms (AWS, Azure, GCP) and their security services.
o Familiarity with SIEM (Splunk, ELK), SOAR (Cortex XSOAR, TheHive/Cortex),
and EDR (CrowdStrike) platforms.
• AI/ML Skills:
o Hands-on experience with ML frameworks (TensorFlow, PyTorch, scikit-learn,
Hugging Face).
o Applied AI/ML for security datasets or operational automation.
• Soft Skills:
o Analytical problem solving, excellent communication, and ability to work
independently with minimal supervision.
Candidate Profile Summary (for Screening Use)
• Strong DevOps background.
• Expertise in Python and JavaScript is must.
• Familiarity with cybersecurity tools/operations.
• Proven automation & integration record is a must.
• Practical AI/ML application experience in security contexts.
• Senior-level self-starter, able to run projects end-to-end.
