Senior DevOps Engineer

Job not on LinkedIn

🔥 16 hours ago

🇺🇦 Ukraine – Remote

⏰ Full Time

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 12%

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Logo of Newxel

Newxel

501 - 1000 employees

Founded 2017

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

Newxel is a global IT staffing and engineering services provider that sets up and supports dedicated and distributed software development teams and turnkey R&D centers for clients worldwide. They offer IT recruitment, staff augmentation, offshore development centers, and full legal/financial and operational support to quickly scale engineering teams across 10+ countries. Newxel focuses on delivering developers and specialists in areas like web and mobile development, AI/ML, big data, game development, QA, embedded software, cybersecurity and blockchain, emphasizing fast time-to-hire, high retention, and long-term B2B partnerships.

📋 Description

• Define the long-term architecture, automation strategy, and reliability goals for the entire R&D infrastructure footprint • Optimize the scalability and cost efficiency of production Kubernetes (EKS) clusters using advanced scaling mechanisms • Architect and scale data streaming and caching layers, focusing on Kafka scaling and Redis clustering • Build advanced observability frameworks using Prometheus and Grafana to establish proactive alerts, SLOs, and anomaly detection • Integrate AI-assisted tooling into daily operations for automated incident remediation and predictive cost optimization • Establish production-readiness standards by leading root-cause analyses, capacity planning, and incident response operations • Own the infrastructure roadmap for a large-scale, multi-tenant cyber intelligence SaaS platform • Collaborate with mature architects and the highly technical R&D group

🎯 Requirements

• 5+ years of experience in DevOps, SRE, or Infrastructure roles supporting production systems • Proven track record of managing high-scale, multi-tenant SaaS environments running on AWS • Deep production-level experience with Kubernetes (EKS) architecture, container orchestration, and Karpenter • Strong hands-on proficiency with Terraform, Helm, and CI/CD automation pipelines • Solid scripting capabilities in Python, Bash, or Go for custom automation tools • Practical experience implementing monitoring, logging, and alerting stacks • Experience utilizing or integrating AI-assisted tools to improve observability or developer productivity • Domain experience within cybersecurity or threat intelligence industries • Foundational knowledge of AI/ML data pipelines or predictive AIOps concepts • Practical experience applying FinOps frameworks to large-scale cloud infrastructure • Deep knowledge of AWS service-level tuning

🏖️ Benefits

• Opportunity to own critical infrastructure behind a global cyber intelligence platform • Mandate to experiment with and deploy AI-driven operations tools for auto-remediation and prediction • Collaboration with mature architects in a highly technical R&D group • Advanced infrastructure engineering focus over manual workarounds

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