As a DevOps Engineer at Altamira, you will design and maintain secure and scalable cloud infrastructure for AI-driven solutions. Responsibilities include managing cloud services, automating CI/CD pipelines, implementing container orchestration, setting up monitoring solutions, and ensuring security compliance while collaborating with cross-functional teams.
Altamira is a software development outsourcing company. We provide solutions that make a tangible impact on our client’s growth and productivity. With domain knowledge across product and technology development, we aim to provide cost-efficient solutions without compromising quality. We are driven to deliver the best, every single time.
Altamira service delivery teams currently span Slovakia, Ukraine, and the Middle East, and we have ambitions to expand our footprint to meet the growing demand across Europe and into our primary growth markets in the UK and the US. In terms of industry verticals, we are focused on EdTech, Fintech, eCommerce, and Pharma.
We are looking for a skilled DevOps Engineer to design, implement, and maintain scalable, secure, and robust infrastructure to support AI-driven solutions. This role involves working closely with cross-functional teams to optimize performance, enhance deployment processes, and ensure the stability of complex systems in a dynamic environment.
Key Responsibilities:
- Cloud Infrastructure Management: Build, deploy, and manage cloud-based infrastructure on platforms such as AWS, Azure, and GCP, tailored for large-scale AI applications.
- Automation and CI/CD: Develop and optimize CI/CD pipelines to enable smooth and automated software delivery for AI workloads.
- Infrastructure as Code (IaC): Utilize tools like Terraform, CloudFormation, and Ansible to ensure consistent, scalable, and repeatable infrastructure deployments.
- Containerization and Orchestration: Implement containerized environments using Docker and Kubernetes (including Helm) to ensure efficient resource utilization and high availability.
- Monitoring and Observability: Set up and manage monitoring, logging, and alerting solutions (e.g., Prometheus, Grafana, ELK stack, Datadog) to maintain system reliability and performance.
- Security and Compliance: Implement and enforce best practices in security and compliance across all infrastructure and DevOps processes.
- Collaboration: Partner with AI, data science, and development teams to align infrastructure with project needs and AI workload demands.
- Continuous Improvement: Research and adopt emerging DevOps tools and methodologies to enhance operational performance.
Required Qualifications:
- Experience: Minimum 4 years in DevOps, SRE, or similar roles with a strong focus on cloud environments and automation.
- Cloud Expertise: Hands-on experience with AWS, Azure, and GCP, including Kubernetes, Cloud Storage, Load Balancers, and AI/ML-specific services.
- Automation Skills: Proficiency in scripting languages like Python, Bash, or Shell, as well as tools like Jenkins, GitLab CI/CD, and CircleCI.
- Containerization: In-depth knowledge of Docker and Kubernetes (preferably with Helm) for application deployment and orchestration.
- IaC Tools: Practical experience with Terraform, Ansible, and CloudFormation for infrastructure management.
- Networking: Strong understanding of networking concepts, including DNS, SSL/TLS, and load balancing in cloud environments.
- Monitoring Expertise: Experience configuring observability solutions like Grafana, ELK, or Datadog.
- Security: Proven track record in implementing security measures for cloud deployments, CI/CD pipelines, and data protection.
- Collaboration: Strong interpersonal and communication skills to effectively work with cross-functional teams.
Preferred Qualifications:
- Certifications: AWS Certified DevOps Engineer, Azure DevOps Engineer Expert, or Google Professional Cloud DevOps Engineer.
- Kubernetes Expertise: Experience managing and optimizing multi-cluster Kubernetes environments.
- AI/ML Knowledge: Familiarity with AI/ML workflows and data pipelines.
- Disaster Recovery: Expertise in designing and managing disaster recovery strategies for mission-critical systems.
Our transparent recruitment journey usually takes up to 2 weeks and includes a few stages:
- Recruiting Interview -> 30-45 min
- Technical Interview -> 1-1,5h
- Client Interview (optional) -> up to 1h
- Pre-Offer Call -> 15min
- Reference Check
- Offer
We offer:
- Competitive salary, room for development and growth;
- Possibility to work in the Bratislava and Kyiv office or fully remotely;
- Loyal management, interesting tasks, constant support;
- Medical insurance (optional);
- English courses;
- Technical equipment providing;
- Paid vacations 20 workdays, paid sick leave, regular salary reviews;
- Flexible schedule and ability to manage your working hours;
- Support your personal growth and skills upgrading;
- The great environment inside the team, support of initiatives, and ability to contribute to the common goal.
We do believe that the success of altamira.ai is impossible without the success of our Talents and the success of our Clients!
Top Skills
Bash
Python
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