Bash Engineer

About Company: Our client is a Palo Alto–based AI infrastructure and talent platform founded in 2018. It helps companies connect with remote software developers using AI-powered vetting and matching technology. Originally branded as the “Intelligent Talent Cloud”, it enabled companies to “spin up their engineering dream team in the cloud” by sourcing and managing vetted global talent. In recent years, they have evolved to support AI infrastructure and AGI workflows, offering services in model training, fine-tuning, and deployment—powered by their internal AI platform, ALAN, and backed by a vast talent network. They reported $300 million in revenue and reached profitability. Their growth is driven by demand for annotated training data from AI labs, including major clients like OpenAI, Google, Anthropic, and Meta. Job Title: Bash Engineer Location: Pan India Experience: 3+ yrs. Employment Type: Contract to hire Work Mode: Remote Notice Period: - Immediate joiners Job Description: Requirements: 3+ years of experience in writing Bash scripts for automation, process orchestration, and system-level tasks. Excellent troubleshooting and debugging skills in complex multi-system environments. Demonstrated ability to write clean, modular, and reusable scripts following best practices — including parameterisation, error handling, logging, and exit codes. Deep experience integrating Bash scripts into CI/CD pipelines (e.G., Jenkins, GitHub Actions, GitLab CI/CD, CircleCI, or Azure DevOps). Strong familiarity with containerisation and virtualisation tools (Docker, Podman, or Kubernetes CLI) for environment automation and build consistency. Understanding of secure scripting practices, including safe handling of credentials, environment variables, and sensitive data. Excellent problem-solving, debugging, and performance optimisation skills in multi-environment setups. Strong written and verbal communication skills, with the ability to produce clear documentation and explain automation workflows Experience with test automation, benchmark creation, or complex systems evaluation is a strong plus. Familiarity with modern software data formats (e.G., JSON, YAML) and version-controlled codebases.