Vaga de parceiro
Senior DevOps Engineer
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São Pedro do Suaçuí / MG
Disponível para Assinantes
Salvar nos Favoritos
Detalhes da Vaga
O que você irá fazer
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They help organizations across sectors such as pharmaceuticals, healthcare, logistics, finance, and tourism to build, deploy, and monitor AI systems with best-in-class security and compliance.
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They are looking for a Senior DevOps Engineer to join their platform team as they scale their security-first infrastructure to support hybrid, cloud, and on-premise deployments of machine-learning workloadsincluding large language models.
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Role Overview As a Senior DevOps Engineer, you will design, build, and maintain the end-to-end infrastructure that powers our clients AI security platform.
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You'll collaborate closely with data scientists, ML engineers, and security architects to ensure that environments are scalable, reliable, and compliant with industry best practices.
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This is a hands-on role that includes architecting containerized pipelines, automating deployments, and monitoring production workloads, particularly those supporting mission-critical LLM deployments.
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Core Responsibilities Containerization & Orchestration Lead Docker image design and hardening for AI workloads.
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Operate and optimize Kubernetes clusters (EKS, AKS, GKE) in hybrid and on-premise settings.
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Customer-Facing Demos, Deployments & Training Deploy AI security solutions into customers private cloud environments, managing end-to-end implementation for both PoC and production.
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Deliver comprehensive training including hands-on workshops, documentation, and video tutorials for both technical and non-technical users.
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CI/CD & Release Management Build and maintain CI/CD pipelines (Jenkins, GitLab CI, Azure DevOps) with automated testing, security scans, and canary deployments.
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Enforce Git-based workflows, including branching strategies, pull-request reviews, and artifact versioning.
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Monitoring, Logging & Alerting Design observability stacks using Datadog, ELK/EFK; integrate metrics, logs, and traces.
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Implement SLIs/SLOs and set up automated alerts to maintain 99.
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9% uptime.
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Security & Compliance Collaborate with security teams to implement practices like network segmentation, IAM policies, secrets management, and vulnerability scanning.
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Document and enforce compliance controls aligned with SOC 2, GDPR, HIPAA, and other regulatory frameworks.
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Collaboration & Mentorship Serve as a technical leader by mentoring junior engineers, conducting architecture reviews, and driving DevOps best practices in an Agile/Scrum environment.
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Communicate complex infrastructure concepts clearly to cross-functional stakeholders.
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Must-Have Qualifications 5+ years of experience in DevOps, SRE, or related roles.
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Deep expertise in Docker and Kubernetes (EKS, AKS, or GKE).
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Strong cloud knowledge: AWS, Azure, or GCPespecially with hybrid and on-premise environments.
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Hands-on experience with CI/CD tools like Jenkins, GitLab CI, or Azure DevOps.
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Proficient in monitoring tools (Prometheus, Grafana, ELK/EFK) and defining SLIs/SLOs.
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Strong Linux and scripting skills (Bash, Python).
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Excellent communication and collaboration skills in Agile/Scrum environments.
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Nice-to-Have Skills Experience with LLM deployment tools (e.
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g.
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, VLLM, Ollama).
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Knowledge of service mesh technologies (Istio, Linkerd).
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Familiarity with serverless (AWS Lambda, Azure Functions).
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Exposure to SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra).
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Advanced IaC experience: Terraform, CloudFormation, and policy-as-code.
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What Our Client Offers Competitive salary + performance-based bonus (520%).
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Equity in a fast-growing, Gartner-recognized AI security startup.
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Fully remote work environment with flexible hours.
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Generous professional development and conference budget.
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A collaborative culture where your contributions shape the future of secure AI.
Envie esta vaga para um amigo!
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