Role Description We are looking for a skilled and reliable Oiler to join our engine department onboard. The successful candidate will support engineering officers in the operation, monitoring, and maintenance of ship machinery and engine room systems while ensuring safe and efficient engine room operations. Key Responsibilities - Conduct routine machinery rounds and engine room inspections. - Lubricate machinery and equipment according to maintenance schedules. - Assist engineering officers with machinery maintenance and repair work. - Monitor the performance of engine room equipment and report any abnormalities. - Maintain engine room cleanliness, housekeeping, and safety standards. - Follow company policies, maritime regulations, and onboard safety procedures. Qualifications - 1–3 years of experience in engine room operations onboard a vessel. - Basic mechanical troubleshooting and maintenance skills. - Good understanding of engine room safety practices. - Strong teamwork, communication, and problem-solving abilities. - Ability to work in shifts and adapt to onboard operations. - Basic communication skills in English and Hindi. Requirements - Passport - CDC (Continuous Discharge Certificate) - PST (Personal Survival Techniques) - FPFF (Fire Prevention and Fire Fighting) - EFA (Elementary First Aid) - PSSR (Personal Safety and Social Responsibilities) - STSDSD (Security Training for Seafarers with Designated Security Duties) - Medical Certificate - INDOS - SID (Seafarer Identity Document) - Yellow Fever Vaccination Certificate - Relevant Watchkeeping Certificate (if applicable) - Aadhaar Card - PAN Card Benefits - Company-sponsored visa - Medical insurance - Free accommodation - Transportation provided

Role Description University Information Services (UIS) provides technical services and enterprise applications to the University of Colorado campuses and the Office of the President. UIS is committed to delivering reliable, secure, and scalable technology solutions that support academic, administrative, and research functions. The Lead Cloud Platform & DevOps Engineer is responsible for leading the design, implementation, and support of cloud-based platforms and DevOps practices that enable consistent and efficient delivery of applications and services. This role focuses on: - Cloud platform architecture - Infrastructure automation - CI/CD processes - System integration - Operational reliability This position supports the development and adoption of platform engineering practices, including: - Infrastructure-as-code - Containerization - Monitoring/observability solutions The role also contributes to the implementation of automation and data-driven technologies, including support for machine learning and intelligent automation workloads, in alignment with institutional standards and requirements. The Lead Cloud Platform & DevOps Engineer collaborates with campus IT teams, information security, and other stakeholders to implement platform solutions that meet security, compliance, and operational needs. Responsibilities include: - Supporting service reliability practices - Contributing to technical standards and documentation - Assisting with the evaluation and adoption of new tools and technologies This position provides technical guidance to development and operations teams, supports onboarding and enablement efforts, and contributes to continuous improvement of platform services. The role works across multiple projects and technical environments, supporting consistent implementation of DevOps and cloud engineering practices. This position reports to the Assistant Director of Integrations Platform and is exempt from the State of Colorado Classified Staff system. Qualifications - Master's degree in Computer Science, Computer or Electrical Engineering, or related IT field plus three (3) years of progressively responsible professional experience as a Platform Engineer (or a similar position) supporting production systems - or - A Bachelor’s degree in Computer Science, Computer or Electrical Engineering, or related IT field plus five (5) years of progressively responsible experience as a Platform Engineer (or a similar position) supporting production systems - Three (3) years of experience in: - Programming languages such as Python and/or Java, including with machine learning frameworks - Leading or supporting DevOps initiatives, including implementation of CI/CD pipelines, infrastructure-as-code, and release/change management practices - Designing, developing, and maintaining cloud-based solutions using public cloud platforms (e.g. AWS services such as EKS, ECS, or Lambda), including containerized or serverless applications in production environments - Implementing monitoring, logging, and reliability practices and supporting incident response using industry tools (e.g. Prometheus, Grafana, etc.) - Two (2) years of experience in: - Artificial intelligence - Enterprise IT and cloud environments, including API and integration development, streaming technologies (e.g. Kafka or RabbitMQ) - Collaboration with security or compliance stakeholders in support of technical controls Requirements - Applicants must be Colorado residents or able to relocate to Colorado within a month of starting employment with University of Colorado System Administration. - This role is eligible to work remotely within Colorado. - Leadership may adjust in-office work requirements with a minimum of three months' notice before any change can be implemented. Benefits - No-cost or low-cost medical & dental plan options, some inclusive of IVF assistance - Disability, Life, Vision Insurance options - Multiple retirement planning options including a mandatory 401(a) plan where CU contributes 10% of your gross pay, a 401k or 403b plan and a 457 deferred compensation plan - Pre-tax savings plans, such as Health care and Dependent care flexible spending accounts - Ample sick and vacation leave, along with at least 12 paid holidays, including a dedicated week off for winter break - 6 weeks of parental leave to adjust to the joys of parenthood - A tuition benefit program for you and/or your dependents - Free RTD EcoPass and free onsite parking at our 1800 Grant Street Office - Many additional perks & programs with the CU Advantage - Additional taxable fringe benefits may be available

• Cloud-Projekte bei unseren Kunden durchführen • Arbeitszeiten selbst bestimmen • Team leiten und Unternehmen führen • leistungs- und ergebnisorientiert bezahlt werden

• Design, build, and operate infrastructure across AWS, GCP, and Azure • Optimize cloud environments for performance, reliability, scalability, and cost efficiency • Own CI/CD pipelines from code integration through automated deployment • Implement and maintain Infrastructure as Code using Terraform or similar tools • Containerize and orchestrate services using Docker and Kubernetes • Manage GPU-enabled infrastructure for AI model training and inference workloads • Build and maintain monitoring, logging, and alerting systems • Support private, VPC-isolated enterprise deployments with strong security and audit capabilities • Collaborate with ML teams to deploy and scale training and inference workloads • Work closely with Security and Engineering teams to improve infrastructure resilience and operational excellence • Maintain infrastructure documentation and operational best practices