Platform Engineer

We are seeking an Early-Career Platform Engineer to work across application, infrastructure, and deployment layers. This role is intentionally positioned as a stepping stone into Systems Engineering, Platform Engineering, and DevOps. Being the part of etiS team, this role is intentionally positioned as a stepping stone into Systems Engineering, Platform Engineering, and DevOps. About etiS etiS is an enterprise software platform built as an extension of Autodesk Construction Cloud (ACC) using Autodesk Platform Services (APS). Our products operate at the intersection of application logic, data pipelines, integrations, and infrastructure. As the platform matures, certain engineering roles are designed to evolve beyond feature delivery into system ownership, reliability, and platform enablement.

Key Responsibilities

Contribute to application features across frontend and backend layers where required. Assist in deploying, configuring, and operating services in cloud environments. Work on build and deployment pipelines and environment setup. Support runtime systems, including monitoring, logging, and alerting. Collaborate with product and engineering teams to improve system reliability and operability. Work with relational databases, caching layers, and background workers. Participate in diagnosing production issues that span application and infrastructure layers. Document system behavior, deployment practices, and operational learnings.

Requirements

1–3 years of professional software engineering experience. Strong foundational understanding of cloud platforms, preferably AWS. Hands-on exposure to deploying and running applications in cloud environments. Working knowledge of Linux-based systems. Understanding of REST APIs and service-to-service communication. Exposure to at least one backend language (JavaScript or Python). Ability to reason about system behavior beyond just code. Code Practices & Behavioral Expectations Understands that deployment and operations are part of engineering responsibility. Writes clear, maintainable code with attention to failure modes. Comfortable working with ambiguity and evolving requirements. Documents decisions and operational insights. Communicates clearly across engineering and product teams. Shows ownership appropriate to role and

experience

level. Good to Have Working

experience

with both JavaScript and Python. Exposure to frontend technologies (React, TypeScript).

Experience

with containerization (Docker). Familiarity with CI/CD pipelines. Exposure to infrastructure-as-code concepts.

Experience

or awareness of: Database versioning tools (e.g., Flyway) Monitoring and observability tools (Prometheus, Grafana) Interest in reliability, performance, and operational excellence.

. Assist in deploying, configuring, and operating services in cloud environments. Work on build and deployment pipelines and environment setup. Support runtime systems, including monitoring, logging, and alerting. Collaborate with product and engineering teams to improve system reliability and operability. Work with relational databases, caching layers, and background workers. Participate in diagnosing production issues that span application and infrastructure layers. Document system behavior, deployment practices, and operational learnings.

Requirements

1–3 years of professional software engineering experience. Strong foundational understanding of cloud platforms, preferably AWS. Hands-on exposure to deploying and running applications in cloud environments. Working knowledge of Linux-based systems. Understanding of REST APIs and service-to-service communication. Exposure to at least one backend language (JavaScript or Python). Ability to reason about system behavior beyond just code. Code Practices & Behavioral Expectations Understands that deployment and operations are part of engineering responsibility. Writes clear, maintainable code with attention to failure modes. Comfortable working with ambiguity and evolving requirements. Documents decisions and operational insights. Communicates clearly across engineering and product teams. Shows ownership appropriate to role and

experience

level. Good to Have Working

experience

with both JavaScript and Python. Exposure to frontend technologies (React, TypeScript).

Experience

with containerization (Docker). Familiarity with CI/CD pipelines. Exposure to infrastructure-as-code concepts.

Experience

or awareness of: Database versioning tools (e.g., Flyway) Monitoring and observability tools (Prometheus, Grafana) Interest in reliability, performance, and operational excellenc