Anthrobyte.ai company logo

Devops Engineer

Anthrobyte.ai

Hyderabad, Telangana, India

Full-time

Information Technology, Engineering

Position Overview

We are seeking a highly skilled DevOps Engineer to join our engineering team. The ideal candidate will have strong experience with cloud infrastructure, CI/CD pipelines, automation, containerization, and monitoring systems. You will collaborate closely with development, QA, and product teams to ensure the reliability, scalability, and security of our systems and deployment processes.

Key Responsibilities

  • Design, implement, and maintain CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, etc.)
  • Deploy, manage, and monitor applications in cloud environments (AWS, Azure, GCP).
  • Build and manage infrastructure as code (IaC) using tools such as Terraform, CloudFormation, or Pulumi.
  • Manage and optimize containerization/orchestration solutions (Docker, Kubernetes, ECS, EKS, AKS, GKE).
  • Automate routine tasks to improve consistency, speed, and reliability of deployments.
  • Collaborate with development teams to ensure application scalability and performance.
  • Implement robust monitoring, alerting, and logging with tools like Prometheus, Grafana, ELK, Datadog, or CloudWatch.
  • Enhance system security, including secrets management, vulnerability scanning, and least-privilege access.
  • Troubleshoot production issues and participate in on-call rotation when needed.
  • Contribute to continuous improvement of deployment processes, system reliability, and DevOps best practices.

Required Skills & Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
  • 3–5+ years of DevOps, SRE, or infrastructure engineering experience.
  • Strong hands-on experience with at least one major cloud provider (AWS preferred).
  • Proficiency in Linux administration and shell scripting.
  • Solid knowledge of CI/CD tools, version control (Git), and build automation.
  • Experience with Docker and container orchestration platforms (Kubernetes a plus).
  • Familiarity with infrastructure automation tools (Terraform, Ansible, Chef, Puppet).
  • Experience with monitoring and logging systems.
  • Understanding of networking concepts (DNS, load balancing, VPCs, firewalls).
  • Strong problem-solving skills and ability to work in a collaborative environment.

Preferred / Nice-to-Have

  • Experience with microservices architecture.
  • Knowledge of security practices (IAM, secrets management, compliance).
  • Experience with serverless technologies (AWS Lambda, Cloud Functions).
  • Background in performance optimization and cost monitoring.

What We Offer

  • Competitive salary and benefits package.
  • Flexible working arrangements (remote/hybrid).
  • Opportunity to work with modern technologies and scalable architectures.
  • Collaborative, growth-oriented team environment.

About the company

Company websiteSoftware Development

Anthrobyte brings structured intelligence to the complexity of modern enterprises.

Today’s organizations operate within systems that have grown layered and difficult to fully understand. Procurement networks, supply chains, logistics operations, compliance frameworks, and operational technologies all interact to shape how decisions are made across the enterprise.

As complexity increases, organizations often struggle not because of a lack of data, but because the system itself becomes harder to see clearly.

Anthrobyte works within this complexity.

Before introducing automation or AI, we first understand how decisions actually move across people, processes, and technologies. By mapping these decision pathways, we identify where intelligence can clarify operations rather than add noise.

We design modular AI capabilities that support procurement visibility, inventory awareness, pricing intelligence, logistics coordination, and operational risk oversight. These capabilities integrate with existing enterprise platforms and augment human judgment.

Our goal is not to rush organizations toward automation, but to introduce intelligence thoughtfully and responsibly.

Sometimes the most valuable first step is simply understanding the system more clearly.