Qureos Mentor

N-iX

India
 
Work type: 
Office/Remote
 
Technical Level: 
Senior
 
Job Category: 
Software Development
 
Project: 
End-to-end Data science SaaS
 
We are seeking a technically skilled senior Support Engineer (cloud experience) with expertise in Kubernetes, Docker, and RESTful APIs. You will be responsible for delivering world-class technical support for our products, helping customers overcome technical challenges while ensuring smooth communication between users, support agents, and development teams.
 
This role requires a mix of strong technical troubleshooting skills, customer-oriented communication, and a proactive approach to improving processes and tools.
 
Key Responsibilities
 
Classify, prioritize, analyze, troubleshoot, and resolve support tickets via our ticketing system and community forum.
 Provide outstanding support for Business Hub and Analytics Platform.
 Troubleshoot issues over calls with customers when needed.
 Occasionally build KNIME workflows to support issue resolution (training will be provided).
 Collaborate closely with fellow support engineers and development team members.
 Contribute to continuous improvement of support processes, tools, and knowledge sharing.
 Share technical insights with the development team to improve future releases.
 Participate in on-call rotations for critical issues.
 
Requirements
 
5+ years of Proven experience administering and troubleshooting software solutions on Linux and/or Windows.
 Hands-on experience with Kubernetes deployments, Docker, and RESTful APIs.
 Familiarity with applications built using Java, JavaScript, Python, Go, and SQL databases;
 Familiarity with identity providers (e.g., Keycloak), LDAP, SAML, OIDC, and OAuth.
 Knowledge of major cloud infrastructures (AWS, Azure, GCP).
 Strong experience or ready to work in software support, ticket management, and escalation processes.
 Excellent communication skills in English (written and spoken).
 Ability to clearly explain technical concepts to diverse audiences.
 Strong self-organization, curiosity, and eagerness to learn.
 
We offer*: 
Flexible working format - remote, office-based or flexible
 A competitive salary and good compensation package
 Personalized career growth
 Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
 Active tech communities with regular knowledge sharing
 Education reimbursement
 Memorable anniversary presents
 Corporate events and team buildings
 Other location-specific benefits
 
<ul>
<li>not applicable for freelancers</li>
</ul>

Technical Support Engineer

India
 
Work type: 
Office/Remote
 
Technical Level: 
Senior
 
Job Category: 
Software Development
 
Project: 
American multinational e-commerce company
 
N-iX is a global software development service company that helps businesses across the world develop successful software products. Founded in 2002, N-iX has come a long way, expanding its presence across Europe, the US, and Latin America. Today, we are a strong community of 2,000+ professionals and a reliable partner for global industry leaders and Fortune 500 companies.
 
Our client is a global commerce leader where you can influence how the world buys, sells, and gives. You’ll be part of a work culture that’s been genuinely committed to diversity and inclusion since its founding over twenty five years ago. Here, you can be yourself, do your best work along with a team of professionals, and have a meaningful impact on people across the globe. We seek people with drive, ideas, and a passion for helping small businesses succeed to help.
 
We are seeking a highly motivated, experienced SRE/MLOps engineer with Python and Ray.io to build and maintain the next generation AI platform. This role focuses on developing software on top of open-source libraries such as Ray, enabling internal teams to run ML workloads efficiently.
 
Responsibilities: 
Build, refactor, and release software for the AI platform (feature development and bug fixes)
 Deploy and manage applications on Ray.io, including workload management, cluster deployment, distributed task scheduling, and troubleshooting
 Use Ray Dashboard and CLI tools to monitor and debug distributed jobs
 Work with Ray ecosystem libraries: Ray Train, Ray Tune, Ray Serve, Ray Data
 Integrate with tools such as Airflow, MLflow, Dask, DeepSpeed (a plus)
 Collaborate with AI platform developers to provide CI/CD pipelines for automated deployment and configuration
 Ensure high availability (target 99.999%) and monitor production systems.
 Develop automation for problem management and operational efficiency
 Write documentation and provide technical support for internal users
 Follow best practices for development: versioning, source control, branching, and merging patterns.
 
Requirements: 
Main coding language: Python (C++ good to have)
 Strong experience with Ray.io, including at least two areas such as Ray Train or Ray Serve
 Kubernetes / Docker: Proficient / Experienced
 Hands-on experience with distributed systems, cluster management, and cloud technologies
 Familiarity with DevOps practices, CI/CD pipelines, and test automation
 Excellent problem-solving, debugging, and triaging skills
 Strong communication skills for collaboration with partners, customers, and engineers
 Ability to manage multiple projects in a fast-paced environment
 TensorRT, DeepSpeed, PyTorch Distributed - will be a plus
 English proficiency (oral and written).
 
Role specifics: 
Infra vs. coding requirements: 30% infrastructure (can be learned with guidance), 70% coding (essential for features and bug fixes)
 The role targets engineers rather than data scientists: focus on deployment, abstractions, monitoring, and alerting of Ray applications at scale
 Ray proficiency is critical; second version of the platform will be built on Ray
 Understanding Racer for real-time serving and Ray Train for model training is required
 
We offer*: 
Flexible working format - remote, office-based or flexible
 A competitive salary and good compensation package
 Personalized career growth
 Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
 Active tech communities with regular knowledge sharing
 Education reimbursement
 Memorable anniversary presents
 Corporate events and team buildings
 Other location-specific benefits
 
<ul>
<li>not applicable for freelancers</li>
</ul>

SRE / MLOps Engineer – Ray.io (Python)

Join N-iX and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

N-iX

ABOUT_COMPANY

Technical Support Engineer

SRE / MLOps Engineer – Ray.io (Python)