Senior Cloud Platform Engineer

Senior Data Platform Engineer 100% remote

>>> Only resumes in english please

We are seeking a Senior Cloud Platform Engineer to lead and take ownership of our cloud infrastructure and architecture. This role will encompass building, scaling, and managing robust cloud systems that support our data-driven products. The ideal candidate will be experienced in architecting cloud solutions with a focus on scalability, cost optimization, and security.

This role requires a mix of hands-on engineering and strategic thinking to ensure our systems are scalable, reliable, and secure. You will work closely with engineering, product, and business teams across the company to establish best practices and automate processes that improve our development and operational efficiency.

If you want to help define the next generation of data-powered products in a massive industry, this is the perfect opportunity for you. Expect autonomy in your work, support from a team that values continuous learning, and the chance to directly shape our solutions and strategy.

Requirements

- 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.

Responsibilities

- Oversee the management and optimization of existing AWS services, including EC2, Fargate, and ClickHouse, ensuring performance and scalability. - Work closely with engineering, product, and business teams to design and build infrastructure solutions with business goals, ensuring seamless integration with existing and future product offerings. Implement and maintain infrastructure as code using Terraform, streamlining cloud provisioning, and managing CI/CD pipelines to improve deployment cycles. - Enhance system observability by setting up monitoring, alerting, and performance diagnostics across services to ensure seamless operations and detect issues proactively. - Manage AWS cloud spending by identifying and implementing cost-saving strategies while ensuring scalability and high availability. - Lead the design and deployment of cloud infrastructure to support Generative AI solutions, working alongside software and AI teams to implement and scale AI services securely. - Design and implement solutions to support integrating Datavations’ platform with external customer data solutions (e.g., Power BI, Azure data platforms), ensuring secure, smooth data flow between systems. - Define and uphold best practices for cloud operations, including on-call rotation management, disaster recovery, and incident resolution. - Champion AI-powered coding tools (e.g., GitHub Co-Pilot) to enhance engineering efficiency. - Present insights and strategic recommendations to senior leadership and stakeholders. - Participate in team meetings, project planning, and knowledge-sharing activities. - Adopt a self-starter mentality, and inspire other team members to do the same.

Work conditions

- Opportunities to work on diverse and challenging projects; - A supportive and collaborative team environment; - 12 vacation days per year; - 5 sick days per year; - English classes; - Access to therapist and psychologist support for mental well-being.