AlgoSec Recruitment 2026 | DevOps Engineer | Premium Salary Package Up to ₹45 LPA!
Job Description
Eligibility Criteria
Educational Background: Must hold a BSc in Computer Science, Engineering, or equivalent high-demand tech degrees. Top engineering graduates are highly preferred.
Experience Level: Candidates must possess a minimum of 5 years of proven hands-on experience in advanced DevOps or Site Reliability Engineering (SRE) roles.
Work Model Flexibility: Must be willing to work in a Hybrid environment out of the Gurugram, India office.
Job Responsibilities & Skills Required
(Working at AlgoSec means contributing to high-revenue products trusted by over 2,300 global organizations. Here is what you will be doing and the skills you need to succeed.)
Core Responsibilities:
Architect Scalable Enterprise Software: Design, deploy, and meticulously maintain highly resilient CI/CD pipelines utilizing AWS and Jenkins to ensure the rapid, secure delivery of premium network security products.
Optimize Cloud Architecture: Spearhead Infrastructure as Code (IaC) initiatives using Terraform, dynamically scaling multi-account AWS environments to support maximum operational efficiency and high-performance architecture.
Drive Agile Innovation: Champion agile methodologies across the R&D lifecycle, collaborating globally to troubleshoot, streamline, and resolve complex production bottlenecks.
Secure Critical Workloads: Oversee the end-to-end management of software, OS, and build environments, ensuring zero downtime for enterprise-grade clients.
Premium Skills Required:
Advanced Cloud Computing & Containerization: Deep, tactical understanding of major cloud platforms (AWS, Azure, GCP) and container orchestration technologies (Docker, Kubernetes).
High-Performance Scripting & Automation: Mastery of Linux operating systems alongside advanced scripting capabilities in Bash, Python, Java, or Groovy.
AI/ML & Advanced Data Operations: Proven expertise in Prompt Engineering, configuring AI Agents, and utilizing AI-powered coding assistants (GitHub Copilot, Cursor) to optimize high-revenue workflows.
Source Control Command: Strong proficiency in Git version control managed via GitLab or Bitbucket.
Premium Advantages (Bonus Skills): Candidates will stand out with experience in Java/Maven, the ELK stack, Kafka, developing Model Context Protocols (MCPs), semantic search (Vector Databases), and RAG pipeline development.
How to Apply
Securing top tier CTC roles requires swift action. Follow these steps to submit your application for the AlgoSec DevOps Engineer position:
Click on the official application link provided at the bottom of this section.
You will be redirected to the official AlgoSec careers portal.
Read through the role requirements to ensure your resume aligns with their tech stack (highlight your Cloud Computing and AI skills!).
Fill out the online application form with your updated contact information, LinkedIn profile, and GitHub repository links.
Upload your tailored, ATS-friendly resume and click "Submit".
Conclusion & FAQs
Landing a role at AlgoSec is a brilliant step for anyone looking to maximize their Software Engineer Salary while working on the cutting edge of cloud security and artificial intelligence. With excellent hybrid flexibility and a dynamic team culture, this is a phenomenal opportunity to elevate your professional trajectory.
Frequently Asked Questions (FAQs)
1. What is the expected salary for a DevOps Engineer at AlgoSec? While the exact compensation depends on your interview performance and experience, DevOps Engineers with 5+ years of experience in AI and Cloud Computing typically command a premium salary package ranging from ₹35 LPA to ₹45 LPA in the Indian market.
2. Are hybrid or remote tech jobs supported for this role? Yes! This specific position operates on a Hybrid model based out of AlgoSec's Gurugram office, giving you the perfect balance of in-office collaboration and remote flexibility.
3. What technical skills are most heavily weighted in the interview? Interviewers will heavily focus on your practical experience with AWS, Terraform, Kubernetes, CI/CD pipeline troubleshooting, and your ability to leverage modern AI coding assistants to streamline operations.