Senior DevOps Engineer - Remote

Kocoa Technologies Pvt Ltd; Polska; Hybrid; PLN 49,000 - 74,000; Full time

Job summary

Conqr AI is seeking a DevOps Engineer to design, build, and operate scalable cloud infrastructure across multiple clouds. You will own CI/CD pipelines and manage GPU-enabled workloads for ML deployments in enterprise environments.

The role emphasizes reliability, security, and observability, with remote work options and collaboration with ML and security teams to enhance scale and resilience.

Qualifications

• 3+ years of DevOps, SRE, or cloud infrastructure experience.
• Hands-on with AWS, GCP, and/or Azure.
• Proficient with Docker & Kubernetes.
• Experience building and managing CI/CD pipelines.
• Infra as Code with Terraform.
• Git, GitHub Actions, or similar tools.
• Knowledge of monitoring, logging, and observability.
• Production infra reliability and scalability focus.
• Networking, VPCs, security groups, cloud-native services.
• English written and verbal communication skills.

Responsibilities

• Design, build, and operate infrastructure across AWS, GCP, and Azure.
• Optimize cloud environments for performance, reliability, and cost.
• Own CI/CD pipelines from code integration to deployment.
• Implement and maintain Terraform-based infrastructure as code.
• Containerize and orchestrate services with Docker and Kubernetes.
• Manage GPU-enabled infrastructure for AI model training and inference.
• Build and maintain monitoring, logging, and alerting systems.
• Support private, VPC-isolated enterprise deployments with strong security.

Skills

Cloud platforms

CI/CD

Monitoring & observability

Networking (VPCs)

Security & audit

English communication

Troubleshooting

GPU ML workloads

Tools

Docker

Kubernetes

Terraform

Git/GitHub Actions

Git

Job description

DevOps Engineer with 3+ years of experience to build, automate, and operate scalable cloud infrastructure, CI/CD pipelines, and ML workloads across multi-cloud environments.

Conqr AI is an early-stage startup building AI solutions for regulated, document-heavy professional workflows. The company focuses on privacy, security, reliability, and delivering high-impact AI products for enterprise users.

Website: https://www.conqr.ai/

Requirements

• 3+ years of experience in DevOps, Cloud Infrastructure, or Site Reliability Engineering.
• Hands-on experience with AWS, GCP, and/or Azure.
• Strong knowledge of Docker and Kubernetes.
• Experience building and managing CI/CD pipelines.
• Proficiency with Infrastructure as Code tools such as Terraform.
• Experience with Git, GitHub Actions, or similar automation tools.
• Understanding of monitoring, logging, and observability platforms.
• Experience managing production infrastructure with a focus on reliability and scalability.
• Knowledge of networking, VPCs, security groups, and cloud-native services.
• Familiarity with GPU infrastructure and ML workload deployment is a plus.
• Strong troubleshooting and problem-solving skills.
• Excellent written and verbal communication skills in English.

Responsibilities

• Design, build, and operate infrastructure across AWS, GCP, and Azure.
• Optimize cloud environments for performance, reliability, scalability, and cost efficiency.
• Own CI/CD pipelines from code integration through automated deployment.
• Implement and maintain Infrastructure as Code using Terraform or similar tools.
• Containerize and orchestrate services using Docker and Kubernetes.
• Manage GPU-enabled infrastructure for AI model training and inference workloads.
• Build and maintain monitoring, logging, and alerting systems.
• Support private, VPC-isolated enterprise deployments with strong security and audit capabilities.
• Collaborate with ML teams to deploy and scale training and inference workloads.
• Work closely with Security and Engineering teams to improve infrastructure resilience and operational excellence.
• Maintain infrastructure documentation and operational best practices.

Job Details

Location: Remote (however candidates open to a hybrid work setup in Delhi preferred)

Interview Process

• Recruiter Screening
• Hiring Manager Discussion
• Technical DevOps Assessment
• Founder Round
• Final HR Discussion

Important Note

ClanX is a recruitment partner, helping Conqr AI hire a DevOps Engineer.