DevOps Engineer

Meet the Team

At Ottometric, we're not just keeping pace with the AI revolution in automotive — we're driving it. Our team brings together deep expertise in machine learning, computer vision, and large-scale data engineering, forged at the intersection of two of the most demanding fields in tech: artificial intelligence and autonomous vehicle development.

We specialize in the kind of problems most AI teams never face — managing petabyte-scale, multimodal sensor data, building proprietary KPI computation engines, and deploying AI-assisted root-cause discovery across complex, safety-critical systems. Our platform doesn't just store data; it thinks about it — continuously ranking logs by coverage, novelty, and safety relevance to surface what matters most for model training and validation.

Focus

DevOps • AWS • CI/CD • Kubernetes • Docker • Linux • Infrastructure as Code • Automation • Python • Bash • Gitlab • Cloud Infrastructure • System Administration

Role Overview

At Ottometric, we're building a modern cloud platform that enables automotive companies to validate and improve Advanced Driver Assistance Systems (ADAS) using large-scale data processing and AI-powered analytics.

We're looking for a DevOps Engineer to join our engineering team in Novi Sad. In this role, you'll help build, automate, and operate the infrastructure that powers our platform and processes, ensuring reliable deployments, scalable cloud environments, and efficient developer workflows.

You'll work closely with software engineers, QA, and engineering leadership to improve our CI/CD pipelines, manage cloud infrastructure, support releases, and maintain a secure and reliable development environment. You'll also contribute to a small portion of internal IT and systems administration tasks that help keep our engineering teams productive.

This is an excellent opportunity for someone who enjoys automation, cloud technologies, continuous improvement, and solving operational challenges in a collaborative engineering environment.

Key Responsibilities

• Design, build, and maintain CI/CD pipelines using development pipelines and related technologies.
• Deploy, configure, and operate applications and microservices across development, staging, and production environments.
• Manage and optimize AWS infrastructure, including compute, networking, storage, security, and IAM.
• Support Kubernetes-based workloads and containerized applications using Docker.
• Automate operational tasks using scripting languages such as Bash or Python.
• Participate in software release planning and execution, helping ensure smooth and reliable deployments.
• Monitor platform health, troubleshoot infrastructure issues, and continuously improve system reliability and performance.
• Collaborate with engineering teams to improve development workflows and operational efficiency.
• Assist with maintaining engineering infrastructure, including internal services, development servers, and cloud-hosted tools.
• Provide occasional support for office IT infrastructure, including workstations, networking, and basic system administration when needed.
• Maintain clear infrastructure documentation and contribute to operational best practices.

Required Qualifications

• Bachelor's (or higher) degree in Computer Science, Software Engineering, or a related field.
• Minimum of 5 years of professional experience in a DevOps, Cloud, or Infrastructure Engineering role.
• Hands-on experience with AWS cloud services (EC2, S3, IAM, key management).
• Experience designing and maintaining CI/CD pipelines.
• Experience with Docker and containerized applications.
• Strong Linux administration skills.
• Experience writing automation scripts in Bash, Python, Go, or similar languages.
• Understanding of infrastructure automation and cloud-native deployment practices.
• Strong analytical and problem-solving skills.
• Good communication skills and fluent English.
• Proactive mindset with a willingness to learn and continuously improve.

Nice-to-Have Skills

• Experience with Azure.
• Experience with Infrastructure as Code tools (CloudFormation, Terraform, or similar).
• Familiarity with monitoring and observability solutions.
• Knowledge of networking concepts, including VPCs, VPNs, load balancing, DNS, and firewalls.
• Familiarity with GitLab Runner, Mattermost, PostHog, or similar engineering tools.
• Basic experience with Windows and macOS administration.
• Interest in cybersecurity, cloud security, and infrastructure reliability.
• Experience working in Agile software development teams.