Senior DevOps Engineer

Responsibilities:Designing and deploying scalable, multi-tenant cloud (AWS or Azure) and hybrid/on-premises architectures tailored to diverse client needs, including specialized infrastructure for AI and machine learning workloads.Understanding business requirements, evaluating architectural trade-offs, and translating them into cost-effective, production-ready technical solutions.Developing declarative scripts and modules for automating infrastructure provisioning, configuration management, and environment replication.Designing, implementing, and optimizing GitOps-driven CI/CD pipelines to achieve automated, self-healing software delivery cycles for both application code and AI assets (models, prompts, and evaluation datasets).Building and maintaining comprehensive observability (monitoring, logging, and tracing) systems to ensure proactive anomaly detection, including tracking LLM performance metrics (latency, token usage, and drift).Ensuring system security and protection by integrating security guardrails (SAST/DAST, container scanning, prompt injection defense, and data anonymization) directly into the delivery pipeline (DevSecOps).Designing and implementing robust disaster recovery (DR), failover procedures, and high-availability strategies across multi-region setups.Automating the deployment of system updates, patches, and zero-downtime microservices and AI model endpoint releases.Adhering to corporate security, data privacy (GDPR/HIPAA/SOC2), and industry-standard regulatory rules and compliance practices, with specific guardrails for AI data handling and model usage.Providing technical leadership, architectural guidance, and mentorship to developers, data scientists, system engineers, and cross-functional client teams.Supporting team infrastructure, unblocking development workflows, and rapidly resolving complex configuration, network, and automation issues across multi-cloud environments.Ensuring high availability, scalability, elasticity, and maximum resilience against infrastructure and service component failures.Staying up-to-date on the latest cloud-native technologies, CNCF ecosystem projects, FinOps (specifically managing unpredictable cloud AI/GPU spend), and industry best practices to drive continuous innovation.What We Offer:Long-term career stability with a competitive salary paid in USD.Conditions for steady career development.Development supported by dedicated mentors and a variety of programs focused on expertise and innovation.Private medical insurance provided after successful completion of the probationary periodA well-equipped and cozy office supports comfort and productivity across all project stages.Welcoming atmosphere and a friendly corporate culture.