This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Platform Engineer based in India.
As a Platform Engineer, you will play a key role in building and maintaining the infrastructure powering an AI and machine learning platform that transforms real-world business data into valuable datasets. You will design scalable backend systems, optimize cloud infrastructure, and strengthen deployment workflows to support reliable product delivery. Working closely with the founding team, you will contribute directly to technical strategy and architectural decisions. You will help improve system performance, availability, and observability while ensuring the platform can scale efficiently. This opportunity offers a hands-on engineering environment where your work will have a tangible impact on product development. You will thrive in a collaborative, fast-paced setting that values technical ownership, continuous improvement, and adaptability.
Accountabilities
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Design, develop, and maintain scalable backend systems and APIs that support essential product workflows.
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Collaborate with the founding team and cross-functional stakeholders to identify infrastructure bottlenecks and implement effective solutions.
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Maintain, optimize, and scale cloud infrastructure, databases, and deployment pipelines to ensure reliability and performance.
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Contribute to architectural decisions and establish technical foundations that support the platform's long-term growth.
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Investigate production incidents, troubleshoot system failures, and implement improvements to monitoring, logging, and observability.
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Build and maintain infrastructure-as-code solutions, containerization and orchestration systems, and CI/CD pipelines.
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Automate deployment processes and improve operational efficiency, system resilience, and development workflows.
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At least 3 years of experience as a Platform Engineer, Site Reliability Engineer, DevOps Engineer, Backend Engineer, or in a similar role involving production infrastructure and core platform services.
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Demonstrated experience deploying, operating, and maintaining production systems at scale, including troubleshooting incidents and resolving outages.
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Hands-on experience with containerization and orchestration technologies such as Docker and Kubernetes, or equivalent tools.
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Practical knowledge of infrastructure-as-code tools such as Terraform, CloudFormation, or Ansible.
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Experience working with cloud platforms such as AWS, Google Cloud, or Microsoft Azure.
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Proven ability to build, maintain, and improve CI/CD pipelines and automated deployment workflows.
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Strong backend development skills in Python, Go, Node.js, Java, or a comparable programming language, alongside experience with databases and APIs.
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Familiarity with monitoring, logging, and observability tools, as well as message queues or event-streaming technologies.
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Strong problem-solving and analytical skills, with the ability to diagnose complex technical issues and implement sustainable solutions.
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Effective communication and collaboration skills, including the ability to work with both technical and non-technical stakeholders.
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Comfort working in an early-stage environment where priorities can evolve quickly, flexibility is essential, and engineers are expected to take ownership of their work.
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Compensation: Annual salary below $50,000 USD.
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Work arrangement: Remote position, with a preference for candidates based in India or Latin America.
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Employment type: Full-time opportunity.
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Professional impact: Direct involvement in building and scaling the core infrastructure of an AI and machine learning platform.
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Technical ownership: Opportunities to contribute to architectural decisions, infrastructure strategy, and platform improvements while working closely with the founding team.