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Senior DevSecOps & Cloud Engineer/Specialist

High Impact Talent
1 - 5 Years
Kolkata

Posted on: 09/07/2026

Job Description

Role : Senior DevSecOps & Cloud Engineer / Specialist (Architect)

Role Overview:

As a Senior DevSecOps & Cloud Engineer/Specialist (Architect), you will be instrumental in designing, implementing, and maintaining secure and scalable cloud infrastructure on AWS. Your day-to-day will involve collaborating with development, security, and operations teams to automate security controls, streamline deployment pipelines, and ensure the overall security posture of our cloud environment. You will work closely with stakeholders to understand their needs and translate them into robust and secure cloud solutions. Your work will directly impact the reliability, security, and efficiency of our applications, ultimately enhancing the experience for our users and driving business growth.

You treat Infrastructure-as-Code (IaC) as a collaborative effort with LLMs. You use AI-driven DAST/SAST tools to audit code before it ever touches a production server, maintaining a 2x-5x efficiency over traditional DevOps.

Core Responsibilities:

- Serverless Orchestration: Own the AWS environment (API Gateway, Lambda, Aurora Serverless v2).

- Security Guardrails: Implement AWS WAF, GuardDuty, and automated IAM hardening using AI agents.

- FinOps: Optimize cloud spend to maintain a cost-efficient "Startup Scale" budget.

- CI/CD Automation: Build pipelines using GitHub Actions and N8N with automated cross-LLM security audits.

[MH] Must-Have:

- 5+ years hands-on experience with AWS (IAM, Lambda, Aurora Serverless).

- Proficiency in AI-driven SAST/DAST scanning and environment hardening.

- Expert in Terraform or CloudFormation generated through GenAI tools.

[SH] Should-Have:

- Ability to optimize AWS costs while maintaining performance.

- Experience building CI/CD automation with GitHub Actions and N8N.

- Experience setting up AI-driven monitoring, alerts, and observability.

[GTH] Good-To-Have:

- Experience with SageMaker or model deployment pipelines (MLOps).

- Ability to use AI tools to maintain live, accurate architectural diagrams.

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