Senior DevOps Engineer

🕒 Fevereiro 2

Candidatar-se

Encontrar Vagas Remotas Similares

Configurar Alerta de Email para Novas Vagas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

Shuru

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2021

🤖 Inteligência Artificial

🤝 B2B

🏢 Corporativo

Artificial Intelligence • B2B • Enterprise

A Shuru é uma empresa de consultoria em produtos, IA e tecnologia que faz parceria com empresas para oferecer consultoria estratégica, desenvolvimento de produtos e softwares personalizados ponta a ponta, além de extensão de equipes de engenharia sob medida. Suas equipes de engenharia nativas em IA constroem aplicações de IA escaláveis, engenharia de dados e análises, cloud/DevOps e integrações de API para modernizar sistemas e acelerar a entrega de produtos. A Shuru opera globalmente com um modelo remoto-primeiro e enfatiza alta responsabilidade, design thinking e resultados mensuráveis para clientes empresariais e startups.

Descrição

• Kubernetes platform engineering (EKS-first) ● Design, build, and operate production-grade Kubernetes clusters (multi-nodegroup, autoscaling, upgrades, cluster add-ons). • Implement intelligent autoscaling using real metrics (queue depth, consumer lag, service latency) via tools like KEDA/Karpenter. • Own AWS environments end-to-end (VPC, IAM, EKS/ECS/EC2, ALB/ELB, S3, Route53, CloudWatch, RDS, SQS, Lambda). • Build reproducible infrastructure using Terraform, with strong review + change management practices. • Implement backup/DR patterns (e.g., snapshots, retention, automation) and safe rollouts. • Design infrastructure for data-intensive workloads: high-throughput ingestion, batch processing, and real-time streaming. • Understand and operate distributed systems at scale — consensus, partitioning, replication, and failure modes. • Build and maintain infrastructure for data pipelines, vector databases. • Design for horizontal scalability, ensuring systems handle growing data volumes and user traffic gracefully. • Build/own monitoring + logging from scratch and make it actionable (Prometheus/Grafana, ELK/EFK, alerting). • Define/partner on SLI/SLOs and incident response practices; improve reliability with data-driven changes. • Establish performance testing and production-like load testing environments. • Continuously reduce AWS spend via right-sizing, Spot strategies, reserved capacity planning, and architecture improvements. • Partner with engineering teams to diagnose bottlenecks (db queries, caching, queueing) and propose scalable solutions. • Optimize infrastructure costs for data-heavy workloads (storage tiering, compute scheduling, GPU utilization). • Improve cloud and cluster security posture (IAM, network policies, secrets management, least privilege). • Support SOC2 readiness/execution (controls, evidence automation, operational hardening). • Implement access management patterns.

🎯 Requisitos

• 7+ years in DevOps / SRE / Cloud Infra roles operating production systems. • Deep hands-on experience with Kubernetes in production. • Strong AWS fundamentals across compute/networking/storage/identity, including VPC, IAM, EC2/EKS, ALB, S3, Route53, CloudWatch, RDS, SQS. • Proven ability to build infra using Terraform (and strong IaC practices). • Production-grade observability experience: Prometheus + Grafana, and centralized logging (ELK/EFK or similar). • Experience scaling product infrastructure — you've grown systems from thousands to millions of requests, and understand capacity planning, bottleneck identification, and scaling patterns. • Solid understanding of distributed systems concepts: CAP theorem, consistency models, partitioning strategies, distributed consensus, and failure handling. • Strong understanding of databases and performance fundamentals. • CI/CD experience building reliable pipelines (Jenkins/Spinnaker/GitHub Actions equivalents), with safe deployment strategies. • Scripting/automation ability in Python and/or Bash (Go is a plus).

🏖️ Benefícios

• Competitive salary and benefits package. • Opportunity to work with a team of experienced product and tech leaders. • A flexible work environment with remote working options. • Continuous learning and development opportunities. • Chance to make a significant impact on diverse and innovative projects.