• Responsible for the proper operation and maintenance of the engine room and other machinery equipment. • Assist the Chief Engineer in managing daily engine room operations. • Supervise maintenance and repair of main engine, auxiliaries, and machinery. • Plan and execute preventive maintenance schedules. • Monitor fuel, lube oil, and machinery performance. • Lead engine room watchkeeping and manage engine crew. • Ensure safety, pollution prevention, and compliance with regulations.

• In charge of engine room operations and maintenance of all machinery. • Ensure safe, efficient operation of main engine, auxiliaries, and electrical systems. • Plan and execute preventive maintenance and repairs. • Monitor fuel consumption, lube oil, and engine performance. • Lead and manage engine crew, assign duties, and conduct training. • Ensure compliance with safety, environmental, and regulatory requirements.

Role Description We are seeking an experienced PeopleSoft PeopleTools Engineer responsible for the architecture, installation, configuration, upgrade, and ongoing technical operation of enterprise PeopleSoft environments. In this role you will own the technical backbone of the PeopleSoft platform — including: - PeopleTools upgrades - Image applications - Security configurations - Search server operations - Integration with cloud and middleware platforms The ideal candidate will combine deep PeopleTools and PeopleSoft administration experience with strong fundamentals in Oracle database, Linux/Unix, and modern DevOps practices. You will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions. You will be expected to raise the bar through: - Code review - Design review - Mentorship of more junior engineers The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. - Five or more years of PeopleSoft PeopleTools administration experience. - Hands-on experience with PeopleTools upgrades and PeopleSoft Update Manager (PUM). - Strong experience with WebLogic, Tuxedo, and PeopleSoft application/process scheduler servers. - Experience administering Elasticsearch / OpenSearch in support of PeopleSoft. - Working knowledge of Oracle Database administration. - Strong Linux/Unix skills and shell scripting experience. - Familiarity with PeopleSoft Cloud Manager or equivalent automation tooling. - Experience operating HA/DR for PeopleSoft. - Strong troubleshooting, communication, and documentation skills. Requirements - Install, configure, and operate PeopleSoft environments across development, test, training, and production. - Lead PeopleTools upgrades, PeopleSoft Update Manager (PUM) image applications, and patch deployments. - Manage application servers, process schedulers, web servers (WebLogic), and the integration broker gateway. - Administer Elasticsearch / OpenSearch (or Verity legacy) deployments supporting PeopleSoft search. - Perform PeopleSoft system copies, refreshes, and clones across environments. - Implement and tune database connectivity, including Oracle Database administration tasks. - Configure PeopleSoft security at the application, web, and infrastructure layers. - Operate PeopleSoft Cloud Manager or equivalent automation tooling where applicable. - Design and operate HA/DR strategies for PeopleSoft environments. - Develop automation tooling using shell, Python, or Ansible to reduce operational toil. - Monitor system health and performance, leading capacity planning and tuning activities. - Provide hands-on post-go-live and hypercare support. - Maintain comprehensive, current technical documentation. - Mentor and coach junior and mid-level engineers. Benefits - Competitive base salary commensurate with experience. - Full-time, direct W2 employment with Bright Vision Technologies. - Long-term, multi-year engagement aligned to the Bright Vision SOW delivery roadmap.

• Design and implement reinforcement learning solutions for sequential decision-making problems in real and simulated environments. • Develop, calibrate, and maintain simulation environments suitable for large-scale agent training. • Implement and evaluate modern RL algorithms including policy gradient, actor-critic, off-policy, and offline RL methods. • Engineer reward functions and shaping strategies that align agent behavior with desired outcomes and safety constraints. • Apply offline RL and imitation learning techniques where exploration is costly or unsafe. • Use RLHF, DPO, and related techniques for fine-tuning large language models when relevant. • Build scalable training infrastructure for distributed RL, including efficient experience collection and replay systems. • Optimize training stability and sample efficiency through algorithmic and engineering improvements. • Design rigorous evaluation protocols, including out-of-distribution and adversarial test cases. • Implement safety mechanisms such as constraint enforcement, conservative policies, and human-in-the-loop oversight. • Collaborate with applied scientists and product teams to identify high-value RL use cases. • Monitor deployed policies and models in production for drift, regression, and unintended behaviors, building the alerting and dashboards that surface issues before they meaningfully affect users. • Document methodology, design decisions, and operational characteristics for internal stakeholders. • Stay current with RL research and translate promising techniques into production-ready solutions.