[Hiring] Senior Data Platform Engineer @Description Project

Role Description

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.

• 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.

Qualifications

• 6+ 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.

Requirements

• 6+ 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.

Benefits

• 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.