Remote Devops Jobs · Docker

Design, implement, and manage scalable cloud infrastructure and application delivery pipelines. Collaborate with development, QA, and operations teams. Ensure high availability, security, and efficiency across environments.

• Design, develop, and maintain web applications using PHP, Symfony, and other web technologies.
• Manage backend services and ensure smooth data interchange across systems.
• Configure, secure, and maintain Linux servers, ensuring high availability and optimal performance.

You will design, build, and maintain observability platform tools and frameworks. This role involves designing and implementing systems that monitor and analyze the performance/health of software applications and infrastructure. You will collaborate closely with development, site reliability engineering, DevOps, and infrastructure teams.

Lead and manage the Platform Engineering team, providing technical guidance and mentorship. Design, build, and evangelize Golden Paths and Service Scaffolding to reduce friction across the development lifecycle. Oversee the design, implementation, and maintenance of Shared DB Platforms, ensuring optimal performance, integrity, and security across the organization.

• Operationalize data science solutions for risk-prediction products.
• Design and build ML pipelines using AWS services and tools like MLflow and Snowflake.
• Implement testing strategies within CI/CD pipelines to maintain high platform quality.

Automate secure cloud-native build and deployment pipelines for AI-powered applications. Implement automated security compliance checks. Enhance the scalability and resilience of distributed systems.

Design, implement, and maintain cloud infrastructure and deployment pipelines across AWS environments. Ensure efficient CI/CD operations and infrastructure automation. Uphold high platform reliability and security standards.

• Manage and support data pipelines, ETL processes, and analytics platforms, ensuring reliability, performance, and accessibility.
• Implement data validation, quality checks, and performance tuning using SQL and Python/Shell scripting.
• Develop and maintain monitoring and observability solutions using tools like Datadog, Grafana, and Prometheus to track system health.

Guide clients through the implementation of solutions aligned with their business objectives. Collaborate with clients and internal teams to design and optimize software solutions. Design and implement automated processes for software deployment and infrastructure management.

• Architect and implement scalable AI platform services for LLMs and other AI models.
• Apply LLMs and AI technologies to build and enhance intelligent product features.
• Develop robust APIs and backend systems for seamless integration of AI-powered features.