Role Description We are looking for a highly skilled Back End Tech Lead to provide technical leadership and strategic guidance for our engineering team. In this role, you will be responsible for designing and developing scalable, secure, and highly available back-end systems while driving performance and collaboration across the team. You will work closely with architects and cross-functional teams to ensure alignment with business goals, resolve technical challenges, and mentor engineers to foster growth. This is a hands-on role where you will oversee system architecture, client-facing demos, and the overall delivery of robust cloud-native solutions. Job Duties - Provide the team with technical leadership over their particular function (backend, front end, QA, or data), and establish the guidelines and principles for building processes. - Work closely with the architect to holistically examine the organization’s engineering operations and objectives. - Identify and resolve technical issues and provide innovative ideas while driving performance and collaboration. - Own the delivery of highly-available systems with quality, resiliency, security, latency, and developer productivity a key focus of each service built or maintained. - Provide mentorship and technical oversight of engineering talent. - Lead client meetings and demos, demonstrating project progress or gathering technical requirements. - Review solution designs to determine their technical viability and relevance to the business goals. - Support other team members’ growth by organizing knowledge transfer sessions and internal lunch & learn events. - Perform other duties as assigned. Qualifications - 8+ years of experience web application development. - 2+ years experience as a technical lead of a development team. - Bachelor’s degree in Computer Science or related field, or combination of education and experience. - Experience in building cloud native solutions (preferably on AWS). - Proficiency in GO. - Strong understanding of software engineering principles and design patterns. - Strong foundation in event-driven architectures. - Proven ability to create and maintain highly available, scalable, secure, and observable services. - Hands-on experience designing and creating Event schemas and services. - Skilled in designing/building RESTful APIs. - Ability to write clean, well-designed, and high-quality code in a highly collaborative Agile development environment. - Experience in a peak performance organization, preferably a tech startup. - Exceptional written and verbal communication skills. - Ability to work cross culturally on a global team. - Prolonged periods of time sitting at a desk and working on a computer. - Ability to perform at a high-level in a remote work environment.

Role Description The Pre-Construction Manager will be responsible for administering pre-construction high voltage engineering services for all generation and data center projects starting in the early to mid-development phase through the start of construction. The Pre-Construction Manager will ensure that all high voltage scope, budgets, and processes are in conformity with Geronimo Power’s established policies and objectives. Responsibilities - Lead the development and review of preliminary high voltage engineering designs and strategy, with both internal and external resources. - Serve as the Company's subject matter expert for high-voltage systems, providing technical leadership and strategic guidance throughout the project lifecycle. - Lead coordination with interconnecting utilities on data center projects, determining high voltage equipment strategy and ramp schedule. - Support power and data center project optimization with Energy Modeling, Development, Financial Modeling, and Procurement groups to develop the optimal project design and execution strategy. - Coordinate with Estimating for project budgeting on all high voltage scope. - Provide support to internal teams for customer RFP (request for proposal) responses. - Evaluate EPC and equipment bids for both compliance with RFP requirements and selecting the optimal vendor or technology. - Support both EPC and equipment contracting negotiations. - Support Development with landowner discussions for design considerations. - Coordinate with Procurement for substation and transmission equipment considerations and strategy. - Represent Geronimo Power at appropriate industry conferences and community stakeholder meetings, participating in discussions and providing comments if needed. - Understand and comply with the Company's Code of Business Conduct and Ethics Policy and other industry-specific professional and ethical standards. Qualifications - Bachelor’s degree in electrical engineering. - Minimum 4 years’ experience with engineering and construction. - Minimum 2 years’ experience with project development and design (preferably renewable energy and data center experience). - Proficient knowledge of high voltage concepts and equipment. - Basic understanding of EPC and equipment contracts. - Proven ability to organize and manage several projects at various stages of development. - Excellent knowledge of construction concepts and practices. - Demonstrated oral and written communication skills. - Proficiency in using programs such as Microsoft Office, Procore, AutoCAD, and database management systems. - Ability to travel up to 25% of the time. Success in This Role Looks Like - Establish effective relationships with utilities, EPC partners, and engineering consultants within the first 12 months. - Deliver accurate high-voltage engineering scopes and budgets that support project investment decisions. - Drive timely utility interconnection and transmission planning activities. - Support successful progression of renewable energy and powered data park projects from development into construction. - Identify cost savings and design optimization opportunities that improve project economics. - Partner effectively across Development, Procurement, Finance, Engineering, and Construction teams. Benefits - Competitive compensation and performance-based incentives. - 401(k) retirement plan. - Comprehensive health, dental, and vision coverage. - Paid time off and holidays. - Tuition assistance and ongoing professional development. - Employee assistance program (EAP) and wellness resources. - Pet insurance and employee discount programs. - Pay Range for the posted level: $115,000 - $135,000 plus target annual bonus opportunity of 15%. Actual compensation may vary based on experience, skills, and demonstrated market-relevant expertise. Our Commitment Geronimo Power is committed to building a diverse, inclusive, and high-performing workplace where employees feel valued, supported, and energized to do their best work. We believe strong teams and strong communities drive better outcomes. We are proud to be an Equal Opportunity Employer and provide equal employment opportunities to all qualified applicants.

Role Description We’re looking for a Staff Operations Engineer – Ceph Storage to support our storage team in the Cloud Platform division. Our scale spans the globe, our transactions happen 24x7 in our global data centers, and every second that passes millions of requests are evaluated across our exchange. In order to achieve our mission, global efficiency and reliability are absolutely key, as every millisecond quite literally counts in our business. What We’re Looking For: - Facilitator : It’s essential that you can relay information and ideas effectively both within and across different teams. While we place a huge premium on technical skill, we value just as much your ability to work with other people. - Adaptable : Our industry moves fast and we need you to keep up and adapt. Acting as an Operations Engineer, you have the ability to prioritize tasks, often against competing scope and timelines. - Technical : A strong foundation in Operations, and experience in solving complex problems and building solutions (including CI/CD, real-time monitoring, production issues, etc.). - Rigorous : We design and manage massive, globally distributed systems that handle billions of transactions a day - your approach and solutions need to be thorough, scalable and ironclad. Here’s What You’ll be Doing: - Design, build and operate a highly scalable, performant and resilient storage layer that operates on a planet scale. - Developing and maintaining automation to handle logging, monitoring and maintenance of the storage layer. - Work with different technologies such as Hadoop, Spark, Aerospike, Kafka etc to enhance and optimize existing systems. - Participate in complex security system designs and mentor junior teammates. - Act as a senior contributor to the team who takes ownership of large projects and components. - Champions improvements to processes and procedures for the team and for the division. - Influence the team’s direction and foster accountability, trust, and focus on goals. - Live the values and promote those internally and externally. Qualifications - Experience with building, maintaining and troubleshooting open-source distributed storage solutions such as Ceph and storage orchestrators such as Rook, in a highly automated environment and at scale. - Experience with IaC and configuration management tools such as Salt, Ansible, Puppet or Terraform. - Experience with storage level replication technologies. - Strong experience with capacity planning, disaster recovery and monitoring.

Role Description We are looking for an Intelligent Edge Engineer to design, optimize, and deploy machine learning models that run efficiently on resource-constrained edge devices, including mobile platforms, embedded systems, and specialized accelerators. The role requires deep expertise in model compression, quantization, and hardware-aware optimization, along with strong systems engineering skills to ship reliable AI capabilities outside the data center. The ideal candidate has shipped edge AI in production environments where compute, memory, energy, and connectivity constraints fundamentally shape the engineering trade-offs. - Design and implement edge AI solutions optimized for diverse hardware including mobile SoCs, NPUs, and embedded accelerators. - Apply quantization, pruning, distillation, and architectural optimization to fit models within edge constraints. - Tune model performance for latency, energy efficiency, and memory footprint on target hardware. - Build cross-platform inference runtimes leveraging frameworks such as TensorFlow Lite, ONNX Runtime, and Core ML. - Optimize models for specific accelerator backends including DSPs, NPUs, and mobile GPUs. - Implement on-device model update, versioning, and rollback workflows that allow safe staged rollouts to large device populations and rapid recovery if a model release behaves unexpectedly in the field. - Design hybrid edge-cloud architectures that gracefully degrade based on connectivity and device capability. - Build telemetry pipelines that respect privacy while enabling continuous improvement. - Collaborate with hardware, firmware, and product teams to align AI capabilities with device constraints. - Implement secure execution paths, model protection, and integrity verification on edge devices. - Develop benchmarking suites that characterize accuracy, latency, and energy trade-offs across devices. - Drive responsible AI considerations including on-device privacy and bias evaluation. - Maintain comprehensive, current technical documentation — including architecture diagrams, design decisions, configuration references, runbooks, and operational procedures — so that the system remains supportable, auditable, and easy to onboard new engineers onto over time. - Stay current with edge AI hardware and software developments, regularly review release notes and community discussions, and translate noteworthy advances into concrete recommendations and adoption proposals for the team. Qualifications - Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field. - Six or more years of experience in ML engineering, with significant work on edge or mobile AI. - Strong proficiency in Python and C++. - Hands-on experience with model compression, quantization, and pruning techniques. - Experience with at least one major edge inference framework. - Solid understanding of mobile and embedded hardware architectures. - Experience deploying ML models to production on mobile or embedded platforms. - Strong performance engineering and profiling skills. - Familiarity with on-device privacy and security considerations. - Strong communication and cross-functional collaboration skills. Preferred Qualifications - Experience with custom NPU or DSP toolchains. - Familiarity with federated learning or on-device personalization. - Exposure to safety-critical or industrial edge deployments. - Open-source contributions to edge AI frameworks. - Experience optimizing LLMs for on-device inference. 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) 676-4399. Learn more about Bright Vision Technologies at www.bvteck.com . Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.