Cloud Architect Jobs in Nevada.
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We are looking for an AI Developer Advocate to join our Developer Relations team. In this role, you will help promote MongoDB's artificial intelligence (AI) capabilities. As more developers choose MongoDB as their data platform, your responsibilities will include directly engaging with the community, building strategic partnerships with AI companies, creating inspiring resources and content, and collaborating with a global team of skilled Developer Advocates.
You will empower developers—from startups to Fortune 500 companies—to integrate advanced data and AI capabilities into their applications and solutions. If you are passionate about helping builders explore the possibilities of AI and enjoy cultivating a vibrant developer ecosystem, we invite you to join us in shaping the future of development on MongoDB.
Our Developer Relations teams are distributed across the globe, with most members working remotely. This position will be based in the San Francisco Bay Area. To see what our team is doing, check out our content on YouTube, Dev, and Medium.
We are looking to speak to candidates who are based in San Francisco for our hybrid working model.
Candidate Profile
We are excited to welcome an influential individual to our team who is already a well-established voice in AI. From your experience over the past few years, we’ll see you in videos and at events sharing technical insights, leading discussions, and inspiring others to effectively use AI and ML capabilities. You’ve also created articles, tutorials, and hands-on workshops to teach builders best practices and equip them to leverage AI in their apps.
At the foundation of your passion and expertise is a love to equip others. Our ideal candidate will have at least 3 years of experience in a builder role, such as a data scientist or developer, where they crafted AI solutions in production. They will have 8+ total years of experience through any combination of builder role (such as data scientist or developer), educator role (such as developer advocate or developer educator), or customer-facing role (such as solution architect).
Our ideal candidate will also have connections with AI companies and communities in the San Francisco Bay Area. You will work with key AI partners to create content and partner on virtual and in-person events that showcase how MongoDB is part of the larger AI ecosystem.
You are an effective teacher who can explain complex topics in a simple and easy-to-understand way. Along with an appreciation for the key AI-related features of our platform, such as vector search and Voyage AI, you will also develop a strong understanding of MongoDB's core capabilities, data modeling, and emerging trends in our industry.
Though the expertise you bring will be unique, our team is built to work together to share knowledge and help each other grow. You will work with others at all levels, supporting peer reviews of code, demos, sessions, and other content. You should have a genuine passion for equipping other developers to be more productive and successful.
Position Expectations
Below are examples of the types of work you will be doing. Your mix of activities will vary week to week based on priorities and event schedules.
- Build on a solid foundation of ML/AI expertise, adding to your database experience to become a MongoDB expert
- Expand your knowledge of embedding models and rerankers to become an expert in Voyage AI
- Collaborate with our events and field teams to engage developers and founders in the Bay Area at meetups, events, hackathons, and startup houses
- Speak at strategic AI events and lead workshops at high-profile conferences such as AWS re:Invent
- Create and update tutorials, articles, videos, and workshops along with their associated workflows or workflows or code examples
- Provide feedback to our Product and Technology team, serving as the voice of the developer as new products are scoped and planned
- Regularly interface with Partner Managers to identify opportunities to work with key AI partners to create content and partner on virtual and in-person events that showcase how MongoDB is part of the larger AI ecosystem
- Partner with our community team to support engagement with third-party and first-party user groups (MUGs), Champions, and influencer programs across the region
- Lead one-hour sessions (both virtual and in-person) with customer teams to evaluate their AI use cases and provide recommendations on how they can better utilize MongoDB
Requirements
- Expertise in building AI or ML solutions and comfortable building agentic solutions
- Advanced familiarity with several AI coding and workflow tools, and how platforms are recommended through content, preference, and integration
- Expertise with one or more complementary programming languages (Python or JavaScript preferred)
- Knowledgeable and connected in the Bay Area AI ecosystem
- Prolific author of content (tutorials, how-to guides, readmes) and associated code to help developers learn
- Established portfolio or active contributor to AI examples and Agent Skills in GitHub
- Engaging presenter at in-person events, videos, webinars, or live streams
- Up to 25% of time traveling to Bay Area engagements (like meetups, events, hackathons, and startup houses)
- Up to 10% of time traveling outside of the Bay Area for industry events
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Req ID: 1273376493
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
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Senior Machine Learning Engineer, Data Mining
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Mission Summary:
At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery.
As a Senior Machine Learning Engineer on the Data Mining team, your mission is to build the "Brain" of this engine: designing massive multimodal Teacher models that understand the world, and distilling them into hyper-efficient Student models that can scour exabytes of data in near real-time. You will work at the intersection of large-scale representation learning, retrieval optimization, and reasoning systems. Your work will directly influence how we compress knowledge into efficient encoders for fast search, and how we apply reinforcement learning to optimize data discovery workflows and intelligent querying. By building smarter mining tools, you will accelerate the entire model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation.
What You'll Do:
- Architect and Train Distilled Models: Design and implement teacher-student model frameworks for multimodal sensor data. Develop training pipelines for knowledge distillation. Ensure student models maintain high accuracy while drastically reducing inference latency and memory footprint.
- Reinforcement Learning for Data Discover: Build RL-based policy learning and reasoning systems for autonomous driving applications. Implement and scale RL training workflows (e.g., PPO, DQN, actor-critic methods) for simulation and real-world interaction. Explore reward shaping, environment modeling, and multi-agent RL where applicable.
- Optimize Model Deployment for Real-Time Inference: Collaborate with backend engineers to deploy distilled and RL models into production. Optimize for latency, throughput, and hardware efficiency across GPU/CPU clusters. Implement model versioning, A/B testing, and monitoring for performance regressions.
- Research and Integrate Agentic Systems: Explore and prototype agentic workflows for autonomous reasoning, chain-of-thought prompting, and goal-directed behavior. Integrate such systems into our broader autonomy stack as experimental or production components.
- Drive Production Reliability: Establish patterns for graceful degradation, fault tolerance, and cost optimization. Operate Omnitag as a mission-critical data platform serving the entire ML organization, with a focus on reliability, debuggability, and operational excellence.
- Mentor and Collaborate: Work closely with ML scientists, data engineers, and autonomy teams to translate research advances into scalable engineering solutions. Guide junior engineers in best practices for model training, evaluation, and deployment.
What We're Looking For:
- BS in Computer Science, Machine Learning, or related field, or equivalent professional experience.
- 6+ years of hands-on experience in machine learning engineering, with a focus on model post training, optimization, and deployment.
- Strong experience with model distillation or teacher-student training - practical knowledge of loss functions, training strategies, and evaluation of compressed models.
- Proven experience with reinforcement learning in production or research settings: policy optimization, reward design, simulation environments, and RL-based reasoning.
- Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX).
- Strong software engineering fundamentals: testing, CI/CD, containerization, and system design.
- Experience deploying ML models in cloud environments (AWS, GCP, or Azure) and optimizing for inference.
- Demonstrated ability to ship production-grade ML systems and mentor team members.
- Demonstrated track record of shipping robust, well-tested, production-grade systems and mentoring junior engineers
Bonus Points (Nice-to-Haves):
- MS/PhD in Computer Science, Machine Learning, or related field.
- Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning.
- Background in autonomous driving, robotics, or real-time decision-making systems.
- Familiarity with multimodal learning, sensor fusion, or embodied AI.
- Experience building active learning loops, using the model to find the data that breaks the model.
- Experience with ML-based data mining, active learning, or contrastive learning.
- Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms.
- Publications or open-source contributions in RL, distillation, or efficient ML.
We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
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Staff Software Engineer, Command Center
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Motional’s Las Vegas office is located less than 10 miles from the Las Vegas strip at 730 E Pilot Road and is home to one of the largest fleets of self-driving vehicles. The city’s grid system of roads and being one of America’s “smart cities” allows for extensive research and development testing.
This role is based in our Las Vegas office and requires in-office days each week.
Mission Summary:
Join us as a key technical leader in Las Vegas as we launch our commercial Autonomous Vehicle (AV) ride service. We are seeking a Staff Software Engineer with a strong product mindset to bridge the gap between our Operations partners and our global Engineering team. You will lead the development of critical operational tools—like fleet management and orchestration systems—while shaping the roadmap to ensure our technology meets real-world needs.
What You'll Be Doing:
Hands-on Development & Leadership
- Build High-Impact Ops Tools: Lead the coding and delivery of frontend and backend services that the Operations team uses daily to monitor and manage the fleet. You will balance long-term scalability with the need for immediate operational solutions.
- Act as the primary engineering presence at the Las Vegas AV operation center, providing real-time technical support and troubleshooting to ensure daily mission success.
- You will interview and onboard future hires, mentor junior engineers, and define the workflows (handovers, async communication, documentation standards) that enable seamless collaboration between Las Vegas and Singapore.
Product Engineering & Stakeholder Alignment
- Own the "Ops-to-Tech" Bridge: Partner deep with Operations, Product, and TPMs to translate complex, real-world fleet challenges into clear, actionable technical requirements for the global engineering team.
- Shape the Tooling Roadmap: Drive the vision for our fleet management and orchestration systems. You won't just build tickets; you will identify the right problems to solve to increase fleet efficiency and reduce manual toil.
- Feedback Loop Architect: Design processes and features that turn qualitative operational feedback into quantitative data, helping the global team prioritize platform improvements.
What We're Looking For:
- 8+ years of professional experience as a software engineer, with a proven track record of designing and building distributed systems.
- Strong "Product" Mindset: You are obsessed with value. You can look at a chaotic operational floor and architect a software solution that brings order and efficiency.
- Experience supporting production systems with a customer-centric mindset and strong communication skills.
- Ability to manage stakeholders (Ops, Product) and communicate effectively with a remote engineering team to get things done without owning the entire stack.
- Proficiency in Golang / Python for web service and scripting.
- Experience building cloud services using SQL and NoSQL databases.
- A Bachelor's or Master's in Computer Science, Engineering, or a related field (or equivalent practical experience).
Bonus Points (not required):
- Experience with Amazon Web Services (AWS), Docker, and Terraform.
- Experience with OLAP databases (e.g., ClickHouse) or building observability tools for monitoring and tracing.
- Previous experience in the Autonomous Vehicle (AV), Robotics, or IoT industries.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Government Security Operations Architect
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Who we are:
Who you are:
We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Government Security Operations Architect who will deliver secure, compliant designs and architectures for solutions hosted in Geotab’s cloud-based telematics platform, geared toward our public sector customers. The projects will vary in scope, complexity, and affected business area. If you love technology, and are keen to join an industry leader — we would love to hear from you!!
What you'll do:
As a Government Security Operations Architect, your key area of responsibility will be holistically evaluating designs and architecture, applying deep technical expertise to understand business impacts, and recommending new solutions to meet security compliance requirements. You will be responsible for owning System Diagrams for the GTP Gov environment, performing risk assessments, and ensuring security strategies are applied correctly across public sector programs. You will need to work closely with cross-functional teams, including architecture and development teams, as well as communicate with various stakeholders to translate business requirements into secure technical solutions.
To be successful in this role, you will be a curious and driven self-motivated professional with exceptional organizational skills, attention to detail, and the ability to work well under pressure in a fast-paced environment. In addition, the successful candidate will have strong analytical and problem-solving skills with an ability to identify needs, build consensus, and manage multiple projects through completion.
How you'll make an impact:
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Provide architecture security reviews of key initiatives by evaluating existing or proposed solutions to determine impact and provide recommendations.
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Perform risk assessments of proposed and existing system architectures for compliance with security controls and best practices.
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Act as the prime contact for security-related architecture artifacts, including developing, maintaining, and promoting artifacts across all lines of business.
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Ensure Geotab security strategies, policies, and standards are applied correctly across all public sector programs and contribute to new secure architecture governance structures.
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Set architectural direction and provide technical leadership and advisory services to the business while mediating conflicts between varied stakeholders.
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Recognize and follow emerging technologies, understanding how to apply and drive adoption in a secure and compliant manner.
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Lead compliance-related discussions regarding system architectures and the impact of changes on security control requirements.
What you'll bring to the role:
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5-7 years of experience in secure design and architecture for cloud-based environments (FedRAMP or NIST 800-171 preferred)
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10+ years of overall experience in information technology and security.
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Expert-level knowledge of Cloud Computing, containerization and kubernetes (GCP preferred) as well as experience with SaaS, Software Development.
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Lifecycle (SDLC), security, CI/CD and risk management best practices.
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Subject Matter Expertise in Security Compliance Frameworks such as ISO27001, NIST 800-53, NIST 800-171, and FedRAMP.
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Post-Secondary Diploma/Degree in Computer Science, Engineering, or a related field; professional certifications like CISSP, CKA, CKS or Cloud certifications are highly valued.
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Excellent verbal and written communication skills with the ability to engage with all levels of the organization and contribute to publications/whitepapers.
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Strong team-player with an entrepreneurial mindset, comfortable working independently in a flat, remote-friendly organization.
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To be eligible, candidates must have continuously resided in the continental United States for at least three years immediately preceding their application. Successful applicants will be required to provide verifiable documentation of continuous lawful residency. Some exceptions apply to US citizens.
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Ability to pass an enhanced background check, including a drug screening test (if applicable) and a credit check.
Why job seekers choose Geotab:
Flex working arrangements
Home office reimbursement program
Baby bonus & parental leave top up program
Online learning and networking opportunities
Electric vehicle purchase incentive program
Competitive medical and dental benefits
Retirement savings program
*The above are offered to full-time permanent employees only
How we work:
Other employment statements:
Geotab will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at careers@geotab.com. Geotab provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Geotab complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Geotab expressly prohibits any form of workplace harassment or discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Geotab's employees to perform their job duties may result in discipline up to and including discharge. If you would like more information about our EEO program or wish to file a complaint, please contact our EEO officer, Klaus Boeckers at HRCompliance@geotab.com. For more details, view a copy of the EEOC's Know Your Rights poster. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, “Geotab”), you acknowledge Geotab’s collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to learn more about what happens with your personal data.The annual base salary for this position is the expected annual salary for this role, and may be subject to change. Geotab offers various perks and benefits and other compensation components that an individual may be eligible for. The actual base salary for this position depends on a variety of factors such as but not limited to skills, qualifications, education and overall experience, including the location the applicant lives while performing the job. This also includes equity with other team members and alignment with local market data. All offers of employment are contingent upon proof of eligibility to work and the individual's ability to pass a background check.
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Staff Software Backend Engineer, Factory Software Platform
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Company Overview
Amperesand is reinventing how the world powers its most critical systems.
We are facing a once-in-a-generation opportunity for infrastructure disruption. Electricity demand is skyrocketing, driven by AI factories, electric vehicles, and modern industrial growth. Energy supply is shifting to incorporate a more diverse mix of resources – including solar, gas, and batteries – at a massive scale.
And yet the power infrastructure behind our latest mega-projects hasn’t meaningfully changed in nearly 100 years. Supply chains for today’s infrastructure equipment can’t match the pace and sophistication of critical energy projects. Amperesand is building hardware and software that rewrites this broken power infrastructure playbook to support a new era of energy abundance.
We’ve built a new class of intelligent, software-defined power infrastructure products leveraging a decade of advanced medium voltage Solid State Transformer research that’s now ready for commercial deployment.
Our products and solutions go far beyond the capabilities of traditional electrical equipment. We make power systems that are faster to deploy, dramatically smaller and more efficient, and capable of supporting modern, dynamic energy needs for tomorrow’s most demanding energy consumers.
Scalable in-house advanced manufacturing capability is our foundation for meeting timeline and quality expectation to serve infrastructure customers around the world.
Amperesand is led by breakthrough energy hardware development veterans and funded by top tier investors who share our vision of building a category-defining energy technology company.
With hubs in San Francisco, Reno, and Singapore, our global team is laser focused on building foundational technology to solve the most pressing problems in power infrastructure at scale.
Join us in building the power foundation of the future!
Role Summary
This role is an opportunity to work with a high-agency startup team operating in the hard-tech and energy systems space. You will play a critical role in designing, building, and scaling the backend systems that power Amperesand’s factory software and interacting with ERP, analytics, and operational software platforms.
This is a hands-on role. You will architect and deliver production-grade backend services that support high-concurrency, high-availability workloads across manufacturing, supply chain, and enterprise operations. The role requires close collaboration with frontend, product, AI, and domain expert teams — along with a strong sense of ownership, systems thinking, and pragmatism in building reliable software for real-world operations.
Responsibilities
- Own the design, architecture, and implementation of backend systems for Amperesand’s factory software and interactions with ERP, analytics, and operational platforms.
- Build and scale high-concurrency, high-availability services in Go to support mission-critical manufacturing and business workflows.
- Design robust APIs, service interfaces, and data models that enable frontend applications, analytics systems, and internal tools.
- Develop backend capabilities for workflow orchestration, machine and system integrations, telemetry ingestion, operational event processing, and reporting.
- Build distributed systems that are reliable, observable, and resilient under production load.
- Optimize backend performance across service latency, throughput, data access patterns, and system resource utilization.
- Collaborate closely with frontend, product, and domain teams to translate operational requirements into scalable backend architectures.
- Drive best practices for service reliability, fault tolerance, testing, deployment, and maintainability.
- Contribute to technical strategy and architecture decisions across backend, infrastructure, and platform layers.
- Mentor other engineers through code reviews, design reviews, and strong engineering standards.
- Leverage AI-assisted development tools where useful to improve engineering velocity, code quality, and developer productivity.
- Document service designs, architecture decisions, and tradeoffs for cross-functional stakeholders.
Qualifications
- 7+ years of experience in backend or distributed systems engineering, including production deployments in scalable environments.
- Strong experience with Go and building production backend services.
- Proven experience designing systems for high concurrency, high availability, and fault tolerance.
- Experience building backend platforms for operational systems such as MES, ERP, analytics, workflow engines, or other enterprise/business-critical software.
- Strong understanding of API design, microservices, distributed system patterns, and asynchronous/event-driven architectures.
- Experience with databases and data systems such as PostgreSQL, Redis, MQTT, NATS, ClickHouse, or similar technologies.
- Familiarity with real-time data processing, telemetry pipelines, and backend systems that support dashboards, reporting, and analytics.
- Experience with observability and production operations, including logging, metrics, tracing, alerting, and incident debugging.
- Familiarity with cloud infrastructure and containerized deployment environments such as AWS, Kubernetes, and Docker.
- Strong testing discipline across unit, integration, and end-to-end service validation.
- Comfortable working with AI coding tools such as Copilot, Cursor, Claude, or similar tools to supplement and accelerate development.
- Proficiency in English and ability to communicate effectively with wider teams.
- Ability to travel up to 20%, including international
- Ability to walk or tour through the factory to test the software
Bonus Qualifications
- Background in energy engineering systems (power systems, energy storage, power electronics, or controls).
- Experience in manufacturing, industrial automation, supply chain, energy systems, or other operational technology domains
- Experience designing systems that integrate with machines, PLCs, IoT devices, or external enterprise platforms.
- Experience with MES, digital twins, or asset health monitoring.
- Open-source contributions to backend projects.
- Experience working within or building design systems.
- Experience building backend platforms that support AI-enabled workflows, data capture, or operational intelligence systems.
- Familiarity with CI/CD workflows and software DevOps practices.
- Experience working with hardware, firmware, or operations teams.
Please note: This role requires working on-site 5 days a week. We do not offer hybrid or remote options.
Pay Disclosure & Benefits
Compensation will be determined based on experience, location, and other factors permitted by law.
The benefits outlined below apply exclusively to employees located in the United States.
- Competitive Salary + Incentive Stock Options
- Medical, vision, and dental benefits for employees and their dependents, effective from the start of hire
- Company paid Basic Life, AD&D, short-term and long-term disability insurance
- 401k retirement savings plan through Empower
- Employees receive paid time off (PTO), paid sick days, and paid company holidays
- Commuter Benefits
- 100% paid maternal leave (12 weeks) and paternal leave (6 weeks)
Singapore-based employees receive benefits in accordance with local government provisions.
Equal Employment Opportunity
Amperesand is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.
Amperesand is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.
Ready to apply?
Apply to AmperesandWho You Are
You are a seasoned solutions architect who thrives in complex, multi-domain environments and enjoys guiding clients towards outcomes that align technology with business strategy. You bring a consultative mindset to every engagement, asking the right questions and influencing decisions rather than leading with products. You are comfortable owning solution strategy end to end, partnering closely with Account Executives and technical leaders to drive successful deal outcomes. You also take pride in mentoring others, helping elevate technical rigor and consultative skills across the organization.
About The Role
The Senior Client Solutions Architect plays a critical role in shaping technical strategy for high-value, multi-practice opportunities at Myriad360. This role carries full ownership of solution architecture from discovery through design validation and deal progression. You will collaborate closely with Account Executives, Practice Directors, and Principal Architects to deliver cohesive, scalable solutions that align with client goals and business priorities. As a senior technical leader, you will serve as a trusted advisor to clients and a mentor to CSAs and engineers across the organization.
Must be based in the United States and reside in Nevada. Travel up to 40% may be required.
Other responsibilities include:
- Lead sophisticated, multi-practice discovery sessions centered on achieving business outcomes rather than focusing solely on products
- Assume full ownership of solution architecture and technical strategy for medium to large-scale opportunities
- Proactively identify cross-practice opportunities spanning networking, data center, cloud, security, and platform engineering
- Ensure alignment across practices by driving cohesive architectural solutions and well-defined execution pathways
- Partner with Account Executives to influence deal strategy, qualification, and positioning
- Collaborate with Practice Directors and Principal Architects to validate solution designs, bills of materials (BOMs), and statements of work (SOWs)
- Serve as a key technical escalation point during advanced stages of the sales cycle
- Mentor CSAs and engineers in best practices for solution design, discovery methods, and consultative selling
- Contribute to the development of reusable solution patterns, reference architectures, and enablement resources
- Represent Myriad360 in senior-level client discussions, workshops, and technical briefings
- Complete ongoing security awareness training and comply with company policies to the requirements section
- Identify and escalate security risks to the appropriate Executive Leadership Team member and actively contribute to remediation efforts
- Other duties as assigned
Desired skills and experience:
- 7–10 years of experience in solution architecture, pre-sales engineering, or technical consulting
- Demonstrated success in designing and selling comprehensive, multi-domain enterprise solutions
- Advanced consultative discovery skills with a proven ability to guide client decision-making processes
- Broad technical proficiency across at least two Myriad360 core practice areas
- Capability to independently manage complex technical sales cycles
- Relevant OEM certifications are highly preferred
A Little About Us
Our mission is to challenge and enable our employees to achieve great things.
We live and breathe our core values:
- We Before Me: We demonstrate empathy through our actions and solicit diverse voices and opinions. We put ourselves in each other’s shoes, readily admit our mistakes, and generously share our time and knowledge.
- Dare To Be Great: We are big-picture thinkers who focus on solutions to problems. We solicit and offer actionable feedback to others without hesitation. We embrace opportunities to improve ourselves, our teams, and our work. We aim to be the best of the best.
- Own It: We set clear expectations, communicate proactively, and follow through on our commitments. We take pride in the experiences we create and the outcomes we deliver. We are personally invested in the success of our team and our clients. We iterate to deliver ever better results.
We are consistently listed among Inc & Crain's "Best Places to Work" and we're proud of our accessible & engaged executive team. We believe in cultivating an atmosphere of inclusion and providing an environment that enables every employee to work to the best of their ability.
Some of Our Benefits
- Unlimited Paid Time Off (PTO)
- Incentive compensation plans for all employees
- Company-funded 401k contributions
- Zero-cost employer-covered health insurance
- Annual BYOD (Bring Your Own Device) reimbursement up to $500
- Paid Parental Leave
- Transparent, candid culture with 1:1 coaching, performance reviews, and a consistent feedback loop
- Quirky, diverse, respectful, high-performing coworkers you’ll want to achieve greatness with!
Pursuant to the NYC Pay Transparency Law, the base salary range in New York City for this position is $250,000- $275,000 OTE, (base salary plus opportunities for bonus and/or commission). Compensation in other geographies may vary.
Myriad360 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.
Ready to apply?
Apply to Myriad360