• Continued ongoing development and implementation of a Preventative Maintenance Program • Upkeep of workbooks/records for such maintenance and regular stock take of spares to ensure sufficient spares and consumables are at hand to minimize down time • Maintenance of firefighting equipment and safety gear • Engine maintenance and the cleanliness and general condition of the engine room including the emptying of used oil tanks • Testing of all safety devices fitted • Maintenance of the pumps, hydraulic equipment, electrical equipment lighting and Bridge equipment • Checking of voids and steering equipment • Maintenance of the scuba compressor and outboard motor(s) • Bunkering of fuel and oil as required • Check and action the maintenance logbook • Stand watch unless emergency mechanical and electrical matters need attention • Any other maintenance or repair required for the integrity of the ship

• Design, deploy, configure, and maintain robust PIM/PAM solutions across enterprise, cloud, and hybrid environments. • Manage the lifecycle of privileged accounts, including automated vaulting, password rotation, privileged session management, and just-in-time (JIT) access. • Integrate PIM/PAM tools with broader identity ecosystems (IdPs, IGA, SIEM, and ticketing systems like ServiceNow) using APIs and custom scripting. • Define, implement, and enforce least-privilege access policies, role-based access control (RBAC), and attribute-based access control (ABAC). • Conduct regular discovery audits to identify unmanaged privileged accounts, service accounts, and secrets, bringing them under centralized management. • Provide tier-3 technical support for complex identity infrastructure issues, system upgrades, patches, and disaster recovery drills. • Support continuous monitoring and audit readiness by generating compliance reports and ensuring adherence to federal and DoD security frameworks. • Deep understanding of session recording, credential vaulting, secrets management, and delegation of authority. • Strong foundational knowledge of Windows Active Directory, Linux/Unix administration, Group Policy Objects (GPOs), and basic networking protocols. • Proficiency in scripting languages (e.g., PowerShell, Python, Bash) for automation and API integrations.

Role Description We are seeking a highly experienced Principal Software Engineer to lead enterprise-wide architectural initiatives, define long-term technology strategy, and deliver highly scalable, resilient distributed systems. This role represents the highest level of individual technical contribution within the organization, requiring deep expertise in system design, performance engineering, reliability architecture, and cross-organizational technical leadership. The ideal candidate will drive strategic engineering decisions, serve as a technical authority across multiple teams and platforms, and combine deep technical mastery with mature judgment, broad influence, and the ability to mentor and elevate senior engineers across the organization. Key Responsibilities - Define enterprise-level architectural standards, system design principles, and engineering guardrails that shape engineering work across multiple business units. - Lead the design and implementation of highly scalable, fault-tolerant distributed systems that operate at global scale. - Architect multi-region, fault-tolerant, and globally distributed platforms with rigorous attention to availability, durability, and disaster recovery. - Drive enterprise modernization initiatives, including microservices transformation, platform consolidation, and legacy decommissioning. - Define API governance, data architecture, and service communication patterns adopted across the engineering organization. - Design systems for extreme scalability, availability, and security, including detailed capacity planning and resilience modeling. - Evaluate and select high-performance data storage solutions appropriate to each major workload class. - Lead reliability engineering and incident response improvements, raising the bar on operational excellence enterprise-wide. - Conduct deep architectural reviews and performance audits across multiple platforms. - Guide engineering teams on concurrency, scalability, observability, and optimization strategies. - Design observability and monitoring frameworks at enterprise scale, defining standards for metrics, logs, and traces that work consistently across many teams and many production environments. - Define DevOps, CI/CD, and automation strategy across engineering teams and platforms. - Partner with executive leadership and product management on technology roadmap decisions. - Mentor Staff and Senior Engineers and contribute substantively to talent growth across the organization. - Drive innovation and continuously evaluate emerging technologies for strategic adoption. - Lead the resolution of critical system-level production issues that require deep architectural insight. Qualifications - Bachelor’s or Master’s degree in Computer Science or a related discipline. - Ten or more years of professional software engineering experience. - Proven expertise designing distributed, high-scale systems in production. - Advanced proficiency in Java, Go, C++, or similar backend languages. - Deep understanding of data modeling, system optimization, and performance tuning. - Experience leading cross-team technical initiatives across multiple business units. - Strong expertise in reliability engineering and distributed architectures. - Demonstrated leadership in architectural decision-making at enterprise scale. - Excellent written and verbal communication skills. - Track record of mentoring senior engineers and shaping engineering culture. Preferred Qualifications - Public technical contributions (papers, talks, OSS leadership). - Experience driving multi-year transformation programs. - Familiarity with FinOps and large-scale cost optimization. - Exposure to regulated industries (financial services, healthcare, government). - Advanced degree or equivalent industry recognition. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 650-6699. Learn more about Bright Vision Technologies at www.bvteck.com .

Role Description As a Senior Amazon Connect Engineer at Cloudelligent, you will design, implement, and optimize cloud-based contact center solutions using Amazon Connect and the broader AWS ecosystem. You will work closely with customers, solution architects, and cross-functional teams to deliver scalable, secure, and AI-powered customer engagement solutions. This role requires strong expertise in Amazon Connect, AWS serverless technologies, system integrations, and contact center best practices. You will also contribute to solution design, technical workshops, and go-to-market (GTM) initiatives while helping customers modernize their contact center environments. Responsibilities - Design, implement, and support enterprise-scale Amazon Connect solutions. - Configure and customize Amazon Connect components, including Contact Flows, Queues, Routing Profiles, Quick Connects, Hours of Operation, and Agent Workspaces. - Develop serverless applications using AWS Lambda, API Gateway, Step Functions, DynamoDB, Amazon S3, and EventBridge to extend Amazon Connect functionality. - Integrate Amazon Connect with CRM, ERP, ServiceNow, Salesforce, Zendesk, and other enterprise platforms using REST APIs and AWS services. - Implement conversational AI solutions using Amazon Lex and Amazon Bedrock to enhance self-service and customer experiences. - Configure Contact Lens, call recording, transcription, analytics, and reporting capabilities. - Troubleshoot and optimize Amazon Connect deployments for performance, reliability, scalability, and security. - Collaborate with customers and internal teams to gather requirements and translate business needs into technical solutions. - Participate in architecture discussions, solution design, technical workshops, and customer demonstrations. - Support go-to-market (GTM) initiatives by contributing to solution development, technical proposals, and proof-of-concepts. - Stay current with the latest Amazon Connect features, AWS services, and contact center technologies. Qualifications - Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field. - 5+ years of experience in cloud architecture and implementation. - 3+ years of Amazon Connect experience. - 3+ years designing and implementing NLP/NLU (IVR or chat) solutions using at least one major conversational AI framework (e.g., Rasa, Dialogflow, Lex, or any Bot Service) at enterprise scale in a contact center environment. - 3+ years hands-on coding experience with REST APIs and web services, including successful integration of 3+ contact center platforms (e.g., Genesys, Amazon Connect, Five9). - Strong experience configuring Amazon Connect, including Contact Flows, Routing Profiles, Queues, Quick Connects, and Agent Workspace. - Experience with AWS services including AWS Lambda, API Gateway, Amazon S3, DynamoDB, Step Functions, IAM, and CloudWatch. - Proficiency in Python for automation, integrations, and serverless development. - Experience integrating Amazon Connect with enterprise applications using REST APIs. - Knowledge of contact center technologies and concepts, including IVR, ACD, call routing, customer experience, and workforce optimization. - Experience implementing conversational AI solutions using Amazon Lex and/or Amazon Bedrock. - Familiarity with Infrastructure as Code (CloudFormation or Terraform). - Excellent communication skills with the ability to collaborate effectively with technical and business stakeholders. Highly Desirable - Knowledge of CI/CD pipelines and DevOps practices for AWS environments. - Experience supporting solution architecture, proof-of-concepts, customer workshops, and pre-sales activities. - Relevant certifications (e.g., AWS Certified Generative AI Developer- Professional, AWS Certified Machine Learning – Associate, AWS Certified AI Practitioner).