RemoteStar

DevOps Engineer

• Implement DevOps strategies for the organization.
• Work with development and operations teams to automate software delivery processes.
• Identify and implement tools and processes to improve software development and delivery.
• Actively seek solutions to customer needs, communicate trends to leadership, and suggest innovative solutions on behalf of the customer experience.
• Help deploy our software stack to Fortune 500 clients’ servers.
• Participate in the design of Multiverse’s toolbox interface.
• Join a world-class team of Quantum experts with an extensive track record in both academia and industry.
• Collaborate with the founding team in a fast-paced startup environment.

Site Reliability Engineer

• Lead the DevSecOps practices and processes within the organization.
• Develop and implement DevSecOps strategies for the organization.
• Mentor other engineers in the adoption of Cybersecurity best practices.
• Work with development and operations teams to automate security-based principles.
• Identify and implement tools and processes to improve software development and delivery.
• Actively seek solutions to customer needs, communicate trends to leadership, and suggest innovative solutions on behalf of the customer experience.
• Monitor and evaluate the performance of implemented solutions, making recommendations for enhancements or modifications as needed.
• Help deploy our software stack to Fortune 500 clients’ servers.
• Join a world-class team of Quantum experts with an extensive track record in both academia and industry.

DevSecOps Engineer

Security Engineer

• Define and maintain a compelling product vision and roadmap aligned with business goals, customer needs and market dynamics (third-party risk, supply chain resilience, AI-driven intelligence).
• Engage deeply with customers (prospects, existing users) to understand their workflows, pain points, and desired outcomes; translate those into product requirements.
• Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery.
• Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time to respond, customer retention/expansion) and monitor product performance.
• Conduct competitive analysis, market research, and stay on top of trends in cybersecurity, third-party risk management, supply-chain tech, AI/analytics.
• Collaborate with UX/design to deliver intuitive user flows, dashboards, and visualisations that make complex risk-data understandable and actionable for non‐technical users.
• Liaise with marketing/sales to define product positioning, value propositions, launch campaigns and enable sales with product-led collateral and demos.
• Work with customer‐success/solutions teams to capture feedback, iterate features, and drive product adoption and upsell.
• Manage cross‐functional dependencies, ensure on‐time delivery of features and releases, and mitigate risks.
• Evangelise the product internally and externally (e.g., customer calls, webinars, product demos).

Product Manager, Cybersecurity

• Lead the DevSecOps practices and processes within the organization
• Develop and implement DevSecOps strategies for the organization.
• Mentor other engineers in the adoption of Cybersecurity best practices.
• Work with development and operations teams to automate security-based principles.
• Identify and implement tools and processes to improve software development and delivery.
• Actively seek solutions to customer needs, communicate trends to leadership, and suggest innovative solutions on behalf of the customer experience.
• Monitor and evaluate the performance of implemented solutions, making recommendations for enhancements or modifications as needed.
• Help deploy our software stack to Fortune 500 clients’ servers.
• Join a world-class team of Quantum experts with an extensive track record in both academia and industry.

Support Engineer

• Provide first-line, customer-facing technical support for compressed Large Language Models (LLMs) and API services
• Become an expert in all the client’s products to assist customers effectively
• Investigate and reproduce customer-reported issues to identify root causes and resolve incidents
• Collaborate with engineering teams to escalate and resolve complex technical problems
• Assist customers with API integration, usage, and best practices for performance and reliability
• Document common issues, solutions, and best practices in a customer knowledge base
• Communicate clearly and empathetically with customers to ensure high satisfaction and trust

Product Support Engineer, AI/LLM

Systems Engineer

• Manage and monitor all installed systems and infrastructure in line with company guidelines and SOP
• Install, configure, and test operating systems, application software, and system management tools
• Ensure highest level of systems and infrastructure availability
• Implement warranty and support activities
• Plan and implement system automation for better efficiency
• Design, review, document and implement policies and procedures for IT standardization
• Support employees on daily office IT operations when needed
• General software management and creation of users
• Implement security best practices, including patching, access control, endpoint protection
• Monitor and maintain office network infrastructure (switches, routers, wireless access points) and VPN access

IT Systems Engineer

Machine Learning Engineer

• Deploy cutting-edge ML/LLMs models to Fortune Global 500 clients
• Design, develop, and implement ML and LLM pipelines including data acquisition, preprocessing, model training, tuning, deployment, and monitoring
• Employ automation tools such as GitOps, CI/CD pipelines, Docker, and Kubernetes to enhance ML/LLM lifecycle
• Establish and maintain monitoring and alerting systems to track LLM performance and detect data drift
• Conduct truth analysis to evaluate LLM outputs against accurate data
• Collaborate with Product, DevOps teams, and Generative AI researchers to optimize model performance and resource utilization
• Manage and maintain cloud infrastructure (AWS, Azure) for LLM workloads ensuring cost-efficiency and scalability
• Stay updated with ML/LLM Ops developments and integrate advancements into generative AI platforms
• Communicate LLM performance and status to technical and non-technical stakeholders

MLOps Engineer

QA Engineer

• Perform manual testing of web applications to ensure quality, functionality, and performance.
• Conduct thorough database testing, including SQL query validation, to verify data integrity and consistency.
• Design, execute, and maintain test cases and test scenarios.
• Collaborate with cross-functional teams to understand requirements and deliver effective testing solutions.
• Work independently as an Individual Contributor, taking ownership of assigned tasks.
• Communicate effectively with clients and internal stakeholders to provide updates, report issues, and clarify requirements.

QA Engineer, Manual Testing

Ecommerce

• Remote Shopify Developer role at RemoteStar Global Job Portal.\n• Must have 4-8 years in full-stack or Shopify app development.\n• Proficient with Next.js, React, ES6+; Shopify CLI, Liquid templating, Polaris.\n• Experience with Shopify Admin API and Storefront API; Node.js and Express.\n• API integration with REST/GraphQL; OAuth/JWT; MongoDB/PostgreSQL.\n• Git/CI/CD; Agile environment; problem-solving.

DevOps Engineer

DevSecOps Engineer

Product Manager, Cybersecurity

DevSecOps Engineer

Product Support Engineer, AI/LLM

IT Systems Engineer

MLOps Engineer

QA Engineer, Manual Testing

Shopify Developer (Remote)