Senior Cloud Platform Engineer

High Trail; United States; On-site; USD 170,000 - 720,000; Full time

Job summary

A leading software development start-up seeks a Senior Cloud Platform Engineer to shape their cloud architecture. Responsibilities include managing AWS environments, data integration, and implementing infrastructure as code with a focus on cost optimization and reliability. Ideal candidates will possess solid experience in cloud infrastructure, data engineering, and cross-functional collaboration.

Qualifications

• 4+ years of experience in Cloud Infrastructure or Site Reliability Engineering.
• Strong expertise in AWS services and architecting solutions.
• Familiarity with ClickHouse or similar data warehouse platforms is a plus.

Responsibilities

• Manage AWS environments for optimal performance and cost-efficiency.
• Collaborate with engineering and product teams to align infrastructure solutions.
• Implement infrastructure as code using Terraform.

Skills

Cloud Infrastructure Management

Data Engineering

Cost Optimization

Terraform

CI/CD

Monitoring and Observability

Containerization and Orchestration

Incident Management

AI Infrastructure

Technical Communication

Job description

We are currently seeking a Senior Cloud Platform Engineer to join an innovative and fast-growing software development start-up. The ideal candidate will bring a strong background in data engineering combined with extensive experience in cloud infrastructure. This role is critical to shaping and scaling their cloud architecture as they continue to build cutting-edge solutions.

Responsibilities:

• Cloud Infrastructure Management: Administer and fine-tune AWS environments to ensure optimal performance, cost-efficiency, and scalability across core services.
• Cross-Functional Collaboration: Partner with engineering, product, and business stakeholders to architect infrastructure solutions aligned with strategic goals and seamlessly integrated into current and future products.
• Infrastructure as Code & CI/CD: Implement and manage cloud resources using Terraform while optimizing CI/CD pipelines to streamline deployments and improve development workflows.
• System Monitoring & Reliability: Enhance observability by establishing robust monitoring, alerting, and diagnostic tools that support early issue detection and uninterrupted service availability.
• Cost Optimization: Monitor cloud usage and implement strategies to control costs without compromising system performance or availability.
• Generative AI Infrastructure: Lead the design and deployment of secure, scalable infrastructure to support Generative AI applications in collaboration with software and AI engineering teams.
• Data Integration: Build and maintain secure data pipelines between the platform and external customer systems, including Power BI and Azure-based data solutions.
• Cloud Operations Best Practices: Define and enforce operational standards, including on-call procedures, incident response, and disaster recovery planning.
• Engineering Productivity: Promote the adoption of AI-enhanced development tools (e.g., GitHub Copilot) to accelerate team output and code quality.
• Strategic Communication: Deliver technical insights and strategic recommendations to senior leadership and stakeholders to support business decision-making.
• Team Engagement: Actively contribute to team planning, knowledge-sharing sessions, and collaborative initiatives. Foster a proactive, self-driven team culture.

Requirements:

• 4+ years of experience in Cloud Infrastructure, Site Reliability Engineering (SRE), or Platform Engineering.
• Strong expertise in architecting solutions using AWS services. Experience with EC2, Fargate, Kinesis, and others
• Experience with ClickHouse, Amazon Redshift, or similar data warehouse platforms. Knowledge of designing and optimizing data pipelines.
• Strong expertise with Terraform and using infrastructure as code (IaC).
• Experience with CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI/CD, ArgoCD).
• Familiarity with deployment strategies (canary, blue/green)
• Proficiency in monitoring and observability tools (CloudWatch, OpenTelemetry, Prometheus, Datadog).
• Hands-on experience with containerization and orchestration (Docker, Kubernetes).
• Deep understanding of incident management and alerting best practices.
• Strong background in cloud cost optimization.
• Passionate about building massively scalable data platforms.
• Bonus: cross-cloud experience (especially AWS <> Azure), ML & GenAI Ops
• Soft Skills: Excellent problem-solving skills, customer obsession, and the ability to communicate complex technical concepts to both technical and non-technical stakeholders.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Industries

  Software Development, Manufacturing, and Retail

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