Software Engineers, DevOps & Systems Debugging Experts. We are seeking experienced software engineers, systems engineers, DevOps professionals, infrastructure engineers, and debugging specialists to create realistic software engineering environments for training advanced AI systems. What You’ll Do Create reproducible software engineering tasks that test an AI system’s ability to solve complex technical workflows

Develop realistic DevOps, CI/CD, debugging, code repair, feature development, and codebase refactoring scenarios

Build isolated environments with clear setup instructions, expected outcomes, automated validation, and golden reference solutions

Design tasks involving source control, containers, build systems, command-line tools, testing frameworks, and debugging utilities

Reproduce software bugs, performance issues, dependency problems, build failures, and deployment errors

Write maintainable reference implementations that demonstrate the correct solution

Verify that tasks are deterministic, technically valid, and consistently reproducible

Review technical feedback and improve environments based on project standards Who Can Apply Relevant backgrounds include: Software Engineers, Senior Software Engineers, Staff Software Engineers, Principal Software Engineers, Software Developers, Systems Software Engineers, Backend Engineers, Full-Stack Engineers, Platform Engineers, Infrastructure Engineers, DevOps Engineers, Site Reliability Engineers, SREs, Production Engineers, Build Engineers, Release Engineers, CI/CD Engineers, Developer Productivity Engineers, Developer Experience Engineers, and Cloud Engineers.

We also welcome: C++ Engineers, Python Developers, Java Engineers, Go Developers, Golang Engineers, TypeScript Developers, Rust Engineers, Systems Programmers, Application Engineers, Distributed Systems Engineers, Performance Engineers, Reliability Engineers, Integration Engineers, Automation Engineers, Tooling Engineers, Compiler Engineers, Runtime Engineers, Database Engineers, Networking Engineers,



and Security Engineers.

Additional relevant roles include: Software Architects, Technical Leads, Engineering Leads, Code Quality Engineers, Test Infrastructure Engineers, SDETs, Test Automation Engineers, Debugging Engineers, Embedded Software Engineers, Firmware Engineers, Open-Source Developers, Research Engineers, Machine Learning Infrastructure Engineers, AI Infrastructure Engineers, and MLOps Engineers.

Relevant Workflows

Experience with one or more of the following is valuable: Git workflows, branching, merging, rebasing, conflict resolution, and repository recovery

Docker containers, images, volumes, networking, and multi-container environments

CI/CD pipelines, automated builds, testing, packaging, and deployment

Debugging crashes, segmentation faults, memory corruption, deadlocks, and race conditions

Build-system configuration and dependency resolution

Feature implementation in unfamiliar or existing codebases

Codebase refactoring, migration, and technical debt reduction

Unit, integration, end-to-end, regression, and performance testing

Profiling, benchmarking, memory analysis, and performance optimization

Distributed systems, APIs, microservices, databases, queues, and networking

Log analysis, incident investigation, root-cause analysis, and production troubleshooting

Multimedia processing, data transformation, and command-line automation

Creating deterministic development environments and automated grading systems Tools and Technologies Experience with tools such as the following is valuable: Git, GitHub, GitLab, Bitbucket, Docker, Docker Compose, Kubernetes, GDB, LLDB, AddressSanitizer, ASan, Valgrind, FFmpeg, CMake, Make,



Bazel, Gradle, Maven, npm, Yarn, pnpm, Cargo, Jenkins, GitHub Actions, GitLab CI, CircleCI, Linux, Bash, PowerShell, Terraform, Ansible, AWS, Azure, Google Cloud, and similar development tools.

Programming language experience may include: C, C++, Python, Java, Golang, TypeScript, JavaScript, Rust, C#, Kotlin, Swift, Ruby, PHP, Scala, or other modern programming languages.

Requirements Solid professional experience in software engineering or systems development

Proficiency in at least one language such as C++, Python, Java, Go, TypeScript, or Rust

Strong understanding of algorithms, data structures, software architecture, and performance optimization

Demonstrated ability to debug complex software problems

Experience developing features and refactoring existing codebases

Ability to create reliable, maintainable, and reproducible technical solutions

Familiarity with command-line development workflows

Strong written communication and attention to technical detail

Ability to work independently and collaborate effectively in a remote environment Preferred Experience Experience working with large-scale, distributed, or mature codebases

Strong knowledge of Linux, containers, build systems, CI/CD, or developer tooling

Experience designing technical assessments, coding challenges, benchmark tasks, or automated grading systems

Participation in rigorous code reviews and engineering best-practice development

Open-source contributions or experience maintaining developer tools

Familiarity with reinforcement learning environments, AI evaluation, machine learning systems, or human-data projects

Experience creating Docker-based development environments or reproducible bug scenarios This opportunity is ideal for engineers who enjoy building realistic technical challenges, debugging complex systems, and creating clear reference solutions for advanced software engineering workflows. We are a referral partner of the client.

📌 Software Engineers | Remote (India)
🏢 The Ai Training
📍 India