Cloud Platform Engineer

Jobgether; United States; A distancia; USD 120.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote work

International career opportunities

Health insurance

Life insurance

Visa support

Descripción de la vacante

Jobgether is seeking a Cloud Platform Engineer for a fully remote role in the United States to design, build, and operate scalable cloud infrastructure enabling AI applications and data products. The candidate will focus on Microsoft Azure with AWS exposure, developing reliable deployment workflows and observability patterns.

You will collaborate with AI engineers, data specialists, and international IT teams to establish secure, automated cloud environments, automate provisioning, and improve

Formación

• >- Proven hands-on experience designing, deploying, and operating cloud-native apps and infra with Azure and AWS.
• >- Strong IaC, CI/CD pipelines, container tech, cloud automation, monitoring and logging.
• >- Proficient in Python and SQL; TypeScript knowledge is a plus.
• >- Understanding of data eng fundamentals, ETL, data pipelines, storage, integrations.
• >- Knowledge of cloud security, IAM, encryption, resilient infra.
• >- Experience collaborating with distributed international teams; strong communication.
• >- Familiar with AI-assisted coding tools to improve workflows.

Responsabilidades

• >- Design, build, and operate cloud-native infrastructure for AI apps, agents, APIs, data pipelines, primarily on Azure and AWS.
• >- Develop reusable IaC modules, deployment templates, and observability patterns.
• >- Automate provisioning, CI/CD, monitoring, logging, secrets management, and cost controls.
• >- Contribute to cloud architecture decisions for AI workflows and data platforms.
• >- Implement cloud security standards and resilient infrastructure configurations.
• >- Establish monitoring, alerting, and operational practices for reliability.
• >- Collaborate with country IT teams to onboard environments and scale use cases.
• >- Support transition of AI/data solutions to production-ready environments.

Conocimientos

Python

SQL

Cloud architecture

CI/CD

Monitoring & logging

API-based services

Event-driven design

English fluency

Cross-functional collaboration

AI-assisted coding tools

Herramientas

Azure

AWS

Terraform

GitHub Copilot

Cursor

Descripción del empleo

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Cloud Platform Engineer based in United States.

As a Cloud Platform Engineer, you will design, build, and operate scalable cloud infrastructure that enables AI applications, intelligent agents, and data products to move from prototype to production. You will join a central AI team supporting a major international logistics organization, contributing to cloud-native solutions across multiple countries. With a primary focus on Microsoft Azure and exposure to AWS, you will develop reliable infrastructure, deployment workflows, and observability frameworks that accelerate innovation. You will collaborate with AI engineers, data specialists, and international IT teams to establish secure, automated, and cost-efficient cloud environments. Your work will help streamline infrastructure provisioning, strengthen operational resilience, and enable the adoption of advanced AI-driven solutions at scale. This remote opportunity is ideal for a technically strong engineer who enjoys platform automation, cloud architecture, and solving complex challenges in a collaborative, international environment.

• Design, build, and maintain cloud-native infrastructure supporting AI applications, intelligent agents, APIs, data pipelines, and data products, primarily using Microsoft Azure and, where required, AWS.
• Develop reusable infrastructure-as-code modules, deployment templates, and observability patterns to standardize cloud environments and accelerate development.
• Automate infrastructure provisioning, continuous integration and continuous delivery (CI/CD), monitoring, logging, secrets management, and cloud cost controls.
• Contribute to cloud architecture decisions for AI-powered workflows, agentic systems, event-driven services, and modern data platforms.
• Implement and maintain cloud security standards covering identity and access management, encryption, resilience, and secure infrastructure configuration.
• Establish reliable monitoring, alerting, troubleshooting, and operational practices to improve platform availability, performance, and maintainability.
• Collaborate with country-level IT teams and cross-functional stakeholders to onboard cloud environments, resolve deployment issues, and scale successful use cases across international operations.
• Support the transition of AI and data solutions from development and experimentation into secure, scalable, production-ready environments.
• Apply DevSecOps, platform engineering, and site reliability engineering principles to improve automation, consistency, and operational efficiency.
• Leverage AI-assisted development tools to improve engineering productivity, code quality, and infrastructure delivery workflows.

Requirements

• Proven hands-on experience developing, deploying, and operating cloud-native applications and infrastructure, ideally with strong expertise in Microsoft Azure and practical exposure to AWS.
• Solid experience with infrastructure as code (IaC), CI/CD pipelines, container technologies, cloud automation, monitoring, and logging solutions.
• Strong programming skills in Python and SQL, with familiarity with TypeScript considered an advantage.
• Understanding of data engineering fundamentals, including ETL processes, data pipelines, storage solutions, and system integrations.
• Knowledge of cloud architecture, distributed systems, API-based services, and event-driven application design.
• Familiarity with cloud security best practices, including identity management, access controls, encryption, and resilient infrastructure design.
• Experience working with cross-functional and geographically distributed teams, with the ability to collaborate effectively across technical disciplines and international locations.
• Comfortable using AI-powered coding assistants such as GitHub Copilot, Cursor, or similar tools to enhance development workflows.
• Fluency in English, with strong communication skills and the ability to explain technical concepts and collaborate with stakeholders from different backgrounds.
• A proactive, analytical mindset, with strong troubleshooting abilities and a commitment to automation, continuous improvement, and reliable engineering practices.

Additional Assets That Would Be Advantageous

• Experience with Snowflake, Azure AI Foundry, LangChain, Model Context Protocol (MCP), or comparable AI development and integration tools.
• Familiarity with DevSecOps methodologies, platform engineering, and site reliability engineering (SRE) practices.
• Relevant cloud certifications, particularly in Azure or AWS.
• Experience developing frontend applications, internal developer portals, or self-service infrastructure platforms.

Benefits

• 100% remote work: Enjoy the flexibility to work remotely in an environment that supports your productivity and work-life balance, subject to employment and location eligibility.
• International career opportunities: Collaborate with distributed teams and contribute to projects across multiple countries and international markets.
• Professional development: Expand your expertise in cloud infrastructure, AI platforms, data engineering, and modern software delivery practices.
• Collaborative work environment: Join a dynamic, professional team that values technical excellence, innovation, knowledge sharing, and teamwork.
• Health insurance: Access health insurance benefits, subject to applicable employment terms and local eligibility.
• Life insurance: Benefit from life insurance coverage, subject to the applicable policy and eligibility conditions.
• Visa support: Potential assistance with work authorization through an eligible Tech Visa arrangement, where applicable. Specific eligibility for candidates based in India should be confirmed during the hiring process.
• Exposure to emerging technologies: Work on cloud foundations that support AI agents, data products, and advanced digital solutions in a large-scale international environment.