As a DevOps Engineer, you’ll apply your expertise in cloud infrastructure, automation, deployment, and platform engineering to contribute to projects focused on training and improving next-generation AI systems. You’ll work with realistic, production-style technical scenarios and help evaluate the quality, reliability, and reproducibility of technical solutions.
No prior AI experience is required. Your DevOps and infrastructure expertise is what matters most.
Key Responsibilities
Design realistic DevOps tasks based on production-style scenarios involving CI/CD, containers, Kubernetes, infrastructure as code, monitoring, and incident response.
Develop working reference solutions with clear setup, implementation, and validation steps.
Review AI-generated technical solutions, identify errors or failures, and provide accurate corrections with clear reasoning.
Evaluate technical work for correctness, reliability, consistency, and reproducibility.
Provide structured feedback to improve future technical tasks and evaluations.
Apply practical DevOps expertise to cloud infrastructure, automation, deployment, and troubleshooting challenges.
Maintain a high standard of technical quality across assigned work.
Required Qualifications
3+ years of professional experience in DevOps, SRE, Platform Engineering, or Infrastructure Engineering.
Strong programming ability in Python, Go, Bash, or TypeScript .
Hands-on experience with CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins.
Practical experience with Docker and Kubernetes .
Experience working with at least one major cloud platform, including AWS, GCP, or Azure .
Strong Infrastructure as Code experience with Terraform, Ansible, Pulumi, or CloudFormation .
Advanced knowledge of Linux and Git .
Strong troubleshooting, analytical, and problem-solving skills.
Excellent written and spoken English.
Availability of at least 20 hours per week .
Preferred Qualifications
Experience with observability platforms such as Prometheus, Grafana, Datadog, or OpenTelemetry .
Background in security, secrets management, or platform reliability.
Open-source contributions or technical writing experience.
Previous experience with AI training data, model evaluation, or technical evaluation projects.
Why Apply?
This is an opportunity to put your DevOps expertise to work on challenging, production-style technical problems while contributing to the development of next-generation AI systems. You’ll work remotely, apply your existing engineering knowledge, and contribute to high-quality technical evaluation and infrastructure work.
... c#, API's, Azure - and many more – that deploy to Azure, AWS, internal, and client hosted platforms. We are a team of experienced and sharp developers with a DevOps mentality What Our Senior Software Engineer I Will Do Learn multiple platforms, technologies and languages (i.e. Azure, Azure DevOps, AWS, PowerShell, c#) to ...
... best practices, extensibility framework, and upgrade‑safe customizations. Optimize CE solutions for performance, scalability, and maintainability. Integration Engineering Design and implement integrations between CE and external systems using: OData / Web APIs REST / SOAP services Azure Logic Apps, Service Bus, Data Factory ...
... continuity. Contribute proactively to the prevention of technical debt, ensuring sustainable and scalable operations as Kong grows. Collaborate closely with engineering teams to design, review, and implement resilient and highly scalable services. 2+ years of experience applying Site Reliability Engineering (SRE) principles ...
... pipelines. Troubleshoot production ETL, database, integration, and data-quality issues and perform root-cause analysis. Collaborate with application, product, DBA, DevOps, and client teams to resolve end-to-end data issues. Required Technical Skills Must Have: - 5–7 years of Data Engineering / ETL experience - Strong SQL and Python ...
... at Ema, you will own the stability, availability, and operational health of our agentic AI platform across customer environments. You'll work closely with Engineering and DevOps to provision infrastructure, drive deployment excellence, and keep production running at the quality bar our enterprise customers expect — 99.9%+ ...
... since time began, our values guide us. They help us be at our best. For the cities and communities we serve. We're looking for a collaborative Senior Software Engineer to help build and improve a world-class payment platform that impacts millions of users. Proactively collaborate with your team, communicating progress and ...
We are seeking a skilled NOC engineer DevOps in Gurgaon having 1+ yrs of https://jobeax.com/link/1SiZNlXgUoM58M15 Us :CodeVyasa is a mid-sized product engineering company that works with top-tier product and solutions organizations such as McKinsey, Walmart, RazorPay, Swiggy, and https://jobeax.com/link/GGWl0p4IdvoJ08YH ...
... application deployment automation. The role will focus on building scalable, secure, and reliable cloud environments, improving deployment velocity, and driving DevOps best practices across engineering teams. Key Responsibilities Cloud Infrastructure & Automation Design, provision, and manage AWS infrastructure using Terraform, ...
... years of experience Extensive experience with Spring Framework Familiarity with Google Cloud Platform, particularly BigQuery Solid understanding of software engineering best practices and design patterns Experience with unit and integration testing (e.g., Strong proficiency in Java with at least 7+ years of experience Extensive ...
... Vault / AWS Secrets Manager. Pipeline Reliability & DevOps Set up monitoring, logging, and alerting frameworks for pipeline health. Drive test-driven data engineering (unit, integration, regression tests). Use Azure DevOps and GitHub for CI/CD automation and version control. Collaborate with Data Engineering, Data Architects, ...
... engineers on PySpark and Databricks technologies - Document technical solutions and maintain comprehensive documentation Essential Technical Skills - Data Engineering: Strong foundation in data engineering principles, ETL/ELT processes, and data pipeline design patterns - PySpark: Proven hands-on experience developing ...
... frameworks - Experience with workflow orchestration: Apache Airflow, AWS Step Functions, or equivalent - CI/CD experience: GitHub Actions, AWS CodePipeline, Azure DevOps, or GitLab CI - Strong engineering mindset — you build it, you own it, you operate it Nice-to-Have Experience with Kafka, Kinesis, or Event Hubs for event streaming ...
... specifications. Assist with data modelling and optimization tasks. Document the data platform architecture, processes, and best practices. Stay up to date with the latest trends and technologies in full stack development, data engineering, and DevOps. Proactively suggest improvements and innovations for the data platform.
... management and communication skills Responsibilities: Define and govern platform architecture Drive architecture decisions and maintain documentation Ensure privacy and data protection requirements are embedded in solutions Collaborate with engineering, business, and testing teams to deliver scalable, reusable solutions.
... shooting, and performance optimization. Work closely with cross-functional teams to deliver high-quality software using Agile development practices. Promote engineering best practices including test-driven development, clean coding, documentation, and maintainable architecture. Qualifications and skills to help you succeed ...
... will also help lead the shift toward AI-native engineering, using autonomous agents, test harnesses, and modern data infrastructure practices to scale both engineering productivity and business impact. We enjoy a continuous deployment DevOps culture, and take owner-operator pride in supporting our code in production. Our ...
... experience with LLM infrastructure, agent frameworks, evaluation pipelines, or observability tooling is highly valued Proficiency in Python and modern data/ML engineering tooling Experience with CI/CD practices, containerization, and DevOps principles applied to data and AI systems Ability to operate across the full stack ...
DevOps Engineer (2+ Years Experience) At bluCursor, we're looking for a passionate DevOps Engineer to join our growing team and help us build scalable, secure, and high-performing infrastructure for our global clients. Assist in building, managing, and optimizing CI/CD pipelines with tools like Jenkins, GitHub Actions, ...
We are seeking a highly experienced and motivated DevOps Engineer to support the PumpTest project—a strategic initiative focused on pump performance testing and automation. This role is essential for ensuring reliable deployment, monitoring, and scaling of microservices across cloud environments. Experience running and ...
... using work management tools (Azure Boards/Jira). Bachelor's degree in Computer Science, Engineering, or related field; or equivalent practical experience in DevOps / Cloud Engineering. Any relevant Cloud certifications (e.g., Azure Administrator, Azure DevOps Engineer Expert, Azure Solutions Architect, or Azure Data/AI ...