Senior Cloud Infrastructure Developer
New
BrazilFull-TimeSenior
Salary75,000 - 85,000 USD per year
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Job Details
- Experience
- 8+ years
- Required Skills
- AWSPythonKubernetesCI/CDLinuxTerraformHelm
Requirements
- 8+ years of experience working with AWS in DevOps, SRE, or cloud infrastructure roles supporting production SaaS systems at scale.
- Strong expertise in Infrastructure as Code tools such as Terraform, along with experience in Helm, Kubernetes, and cloud-native architectures.
- Solid background in distributed systems, event-driven microservices, and large-scale cloud-native environments.
- Hands-on experience with AWS services including EKS, Lambda, SQS, SNS, AuroraDB, Keyspaces, and OpenSearch in production settings.
- Proven experience managing Kubernetes clusters with autoscaling tools (e.g., Karpenter) and performance optimization strategies.
- Experience building and maintaining CI/CD pipelines using tools such as ArgoCD, GitHub Actions, and blue/green deployment strategies.
- Strong Linux systems knowledge and proficiency in Python or other scripting languages, with software engineering experience considered a strong advantage.
- Demonstrated ability to mentor engineers, contribute to architecture discussions, and drive technical improvements across teams.
- Strong problem-solving skills with a proven focus on cloud cost optimization and operational efficiency.
- Excellent communication and collaboration skills with a strong culture of knowledge sharing.
- Experience leveraging AI tools and automation to improve infrastructure operations and engineering productivity is highly valued.
Responsibilities
- Architect and maintain scalable, resilient cloud infrastructure on AWS, ensuring high availability, performance, and cost efficiency across production environments.
- Design and implement Infrastructure as Code (IaC) practices using modern tooling to standardize and automate provisioning across all environments.
- Build, optimize, and maintain CI/CD pipelines with automated testing, secure deployments, and efficient release workflows at scale.
- Develop and enhance observability systems, including monitoring, logging, and distributed tracing, to proactively identify and resolve system issues.
- Manage and optimize Kubernetes-based environments (EKS), including autoscaling strategies, workload distribution, and cluster performance tuning.
- Improve platform security, reliability, and disaster recovery mechanisms to reduce risk and strengthen system resilience.
- Drive cloud cost optimization initiatives by analyzing usage patterns and implementing efficiency-focused architectural improvements.
- Contribute to innovation in automation and AI-assisted operations to increase engineering productivity and system intelligence.
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