DevOps Engineer at Teza Technologies | Austin

About Us:At webAI, we are at the forefront of revolutionizing artificial intelligence through the creation of the first distributed AI infrastructure designed specifically for personalized AI solutions. As data-driven needs evolve, we are committed to innovating scalable and flexible architectures, believing that the future of AI is rooted in distributed processing at the edge, which brings computation closer to the data source.Our mission focuses on safeguarding valuable data and intellectual property, facilitating the deployment of large-scale AI models on standard consumer hardware without compromising the integrity of the information within these models. We are constructing a comprehensive platform that is secure, scalable, and fully controllable by our users, empowering businesses with AI that comprehends their unique requirements.Our team is driven by core values of truth, ownership, tenacity, and humility, and we are looking for passionate individuals who align with these principles and are eager to contribute to the next generation of AI.About the Role:We are on the hunt for a Staff DevOps Engineer to design, build, and scale secure infrastructure for deploying AI workloads across both cloud and edge environments. This high-impact role will see you as a pivotal individual contributor, shaping infrastructure strategy, leading technical initiatives, and serving as a subject matter expert in cloud architecture, security best practices, and platform reliability.In this role, you will craft scalable, automated infrastructure solutions that ensure our AI platform operates seamlessly across a variety of deployment scenarios, from public cloud to on-premises and edge computing setups. Your deep technical expertise and architectural mindset will be crucial as you translate complex requirements into production-ready infrastructure automation.

Special Notice: This position is not dependent on project awards or funding sources. Join webAI for full-time employment.About Us: At webAI, we are pioneers in the field of artificial intelligence, focusing on distributed processing at the edge. Our goal is to create an environment where sensitive data and intellectual property remain secure, enabling the use of advanced AI models on standard consumer hardware without risk. We are on a mission to develop a comprehensive platform that prioritizes security, scalability, and user control, allowing businesses to leverage AI tailored to their specific needs.About The Role: We are seeking a talented Senior Systems Engineer skilled in Rust, or a Systems Engineer with extensive experience in P2P technologies, to advance our Public Sector projects. This role is essential in creating secure and resilient AI infrastructures. If you are proficient in backend systems languages but lack Rust experience, please consider our Peer to Peer Systems Engineer position. This role will also involve integrating our distributed AI technology with existing systems in various languages including Go, Swift, Python, and C++.Your responsibilities will include designing and implementing robust synchronization and networking systems that ensure reliable AI operations across diverse environments, from edge devices to secure government cloud systems, while maintaining the highest standards of performance, reliability, and data privacy.

About Us:At webAI, we are at the forefront of artificial intelligence, building a revolutionary distributed AI infrastructure focused on personalized AI solutions. We understand the urgent need for scalability and flexibility in a data-driven world and believe that the future of AI is rooted in distributed edge processing—bringing computation closer to data generation. Our mission is to create a landscape where companies can maintain the privacy of their valuable data and intellectual property while deploying powerful AI models on standard consumer hardware, all without compromising the integrity of the information within those models. We are constructing a comprehensive platform that prioritizes security, scalability, and user control, enabling businesses to harness AI that truly understands their unique needs. Our team is guided by principles of truth, ownership, tenacity, and humility, and we are in search of passionate individuals who share these values and are eager to shape the future of AI.About the Role:We are on the hunt for a talented Senior DevOps Engineer to architect, build, and enhance our secure infrastructure that supports AI workloads across both cloud and edge environments. This pivotal role requires a high-impact individual contributor who will influence our infrastructure architecture, enhance platform reliability, and establish security best practices across the organization.You will collaborate closely with engineering teams to deliver scalable, automated infrastructure solutions that facilitate the efficient operation of our AI platform in various deployment scenarios, ranging from public cloud to hybrid and edge environments. The ideal candidate will possess deep technical expertise, hands-on production experience, and the capability to convert complex requirements into robust infrastructure systems.

About Us:webAI is at the forefront of revolutionizing artificial intelligence, creating the first distributed AI infrastructure focused on personalized AI solutions. Understanding the dynamic requirements of a data-centric world, we are committed to enabling scalability and flexibility through edge computing, bringing computation closer to data sources. Our vision is to ensure that a company's critical data and intellectual property remain private, facilitating the deployment of extensive AI models on standard consumer hardware without compromising sensitive information. We are developing an all-encompassing platform that is secure, scalable, and entirely user-controlled, empowering businesses with AI that is tailored to their unique needs. Our team is driven by the values of integrity, accountability, perseverance, and humility. We invite passionate individuals who align with these principles to join us in shaping the future of AI.About the Role:As an R&D Software Engineer, you will play a pivotal role in driving innovation at webAI. You will swiftly transform groundbreaking research and conceptual ideas into effective prototypes. This position is perfect for a highly skilled and imaginative engineer who excels in dynamic environments and thrives amid uncertainty. Collaborating closely with research scientists, engineers, and product stakeholders, you will bring theoretical advancements in AI to fruition through proof-of-concept projects and feasibility assessments. Your contributions will significantly shape future product strategies and technical directions across our platform.Key Responsibilities:Quickly design, construct, and evaluate software and AI prototypes for novel technologies and product concepts.Convert theoretical AI and ML research into tangible, testable applications.Develop proof-of-concept demonstrations to validate feasibility and convey value to internal stakeholders.Perform feasibility studies, benchmarking, and performance assessments of new methodologies.Engage in cross-functional collaboration with research, engineering, and product teams to align prototypes with strategic objectives.Iterate and enhance prototypes based on feedback, testing insights, and evolving technical specifications.Document design processes, experimental outcomes, and technical findings for internal knowledge sharing.

webAI develops distributed AI infrastructure for personalized applications, with a focus on keeping computation close to where data originates. By doing so, the company helps protect sensitive information and intellectual property, allowing large AI models to run directly on consumer hardware without exposing critical data. The platform is designed to be secure and end-to-end, giving users control while meeting business operational needs. Core values at webAI include truth, ownership, tenacity, and humility. Role overview The AI Software Engineer role centers on high-performance computing and machine learning inference. The primary focus is to translate theoretical AI models into practical, efficient, and reliable software. This includes managing production environments, optimizing for low latency, maintaining system reliability, and ensuring data integrity throughout the process. What you will do Turn AI model concepts into operational, high-quality software Manage and monitor production environments for performance and reliability Optimize systems for low-latency inference and robust data handling Maintain data integrity and system stability in real-world deployments Requirements Experience in low-level systems programming Background in machine learning and practical inference Understanding of hardware-aware optimization Comfort working onsite at the downtown Austin, TX headquarters Alignment with webAI’s values: truth, ownership, tenacity, and humility

Special Notice:This position is a full-time opportunity with webAI and is not contingent on project awards or funding sources.About Us:At webAI, we are pioneering the future of artificial intelligence through innovative distributed processing solutions at the edge. Our vision is to ensure that valuable data and intellectual property remain private while enabling large-scale AI models to run on standard consumer hardware. We are building a secure and scalable end-to-end platform that empowers enterprises with AI tailored to their unique business needs.About The Role:We seek a talented Systems Engineer to support our Public Sector initiatives, focusing on creating secure, distributed, and resilient AI infrastructures. Ideal candidates will be well-versed in Peer-to-Peer (P2P) systems. A strong understanding of decentralized and distributed systems is essential, particularly in environments that prioritize trustless interactions. Experience with technologies resembling IPFS or torrents is highly desirable.Responsibilities:Utilize backend programming languages to design and implement synchronization and networking systems that facilitate reliable AI operations across diverse environments, including edge devices and isolated government systems, while ensuring optimal performance, reliability, and data privacy.Develop robust data synchronization frameworks using advanced techniques such as content addressable storage, Merkle trees, CRDTs, and erasure coding.Lead efforts in performance tuning, debugging, and optimizing distributed software under resource-constrained and intermittently connected conditions.Implement security-first designs through thorough threat modeling, secure key management, and integration of cryptographic principles and protocols.

Join 360itprofessionals1 as a DevOps Engineer, where you'll play a crucial role in enhancing our infrastructure and improving our deployment processes. Your expertise in automation, system monitoring, and cloud technologies will be vital in driving our operational efficiency and innovation.

Special Notice This is a full-time position at webAI in Austin, TX. Employment is not tied to project awards or external funding. Role Overview webAI seeks a Senior Machine Learning Engineer to strengthen its Public Sector work. The focus: building and refining production-ready AI systems designed for secure, distributed environments. This role centers on moving models from prototype to reliable, scalable deployment, supporting government cloud platforms and edge devices, even where connectivity is limited or absent. What You Will Do Design and implement agentic workflows for multi-step reasoning, tool use, and automated decision-making in production systems. Convert research AI models into scalable systems used in real-world applications. Develop adaptive machine learning solutions using LoRA, PEFT, and on-device inference. Work with frameworks like PyTorch, TensorFlow, and Hugging Face Transformers to create, fine-tune, and optimize models. Apply model optimization methods such as quantization, pruning, distillation, and hardware-specific acceleration. Build and manage Retrieval Augmented Generation (RAG) pipelines, including integration with vector databases for contextual retrieval. Collaborate with multi-modal AI systems across computer vision, audio, and natural language processing domains. Improve model performance for distributed and resource-constrained environments, ensuring systems remain dependable under different connectivity scenarios. Requirements Active US Security clearance. At least 4 years of experience in applied AI, machine learning engineering, or production AI systems. Strong proficiency with PyTorch, TensorFlow, or Hugging Face Transformers. Hands-on experience deploying AI models to cloud, edge, and mobile hardware. Expertise in model compression and optimization (quantization, pruning, distillation). Background in building RAG pipelines and integrating vector databases.

At Self Financial, we are a dynamic, venture-backed FinTech organization dedicated to promoting economic inclusion and enhancing financial resilience. Our mission is to empower individuals to build credit and savings effectively.We seek passionate individuals who are eager to confront challenges, devise solutions, and improve the financial landscape for the communities we serve.Our team is committed to redefining the credit industry by offering accessible tools that enable individuals to take charge of their credit. Achieving our mission necessitates deep collaboration across teams, ensuring our products reach those who stand to gain the most—over 100 million Americans with limited or no credit.We value diversity and are dedicated to fostering an inclusive environment for all our employees. Thus, we strive to recruit, nurture, and retain top talent from a diverse array of backgrounds.As a Senior DevOps Engineer, you will play a crucial role in deploying, monitoring, and maintaining our production environment and services. You will adopt a holistic perspective on system health, ensuring our platform remains stable and balanced. Our DevOps Engineers are both skilled operators and proficient software developers who apply robust engineering principles, operational discipline, and advanced automation to our infrastructure. You will report directly to the Senior Manager.

Join Last Energy, an innovative technology company leading the way in modular nuclear power plant deployment. With ongoing projects in the US and UK, we are revolutionizing the design, construction, and delivery of nuclear energy through advanced manufacturing processes, streamlined supply chains, and swift deployment strategies.In the role of Senior Mechanical Engineer, you will collaborate closely with the CEO and our core leadership team to tackle the most pressing mechanical and system-level challenges impacting our fleet-wide products. This position is ideal for proactive builders, creative thinkers, and dedicated innovators who excel in a dynamic, fast-paced environment where your insights directly influence product development.

About webAI webAI builds distributed AI infrastructure designed for personalized solutions. The company focuses on processing data at the edge, keeping computation close to where data is generated. This approach supports scalable, flexible systems that protect company data and intellectual property. The platform enables large-scale AI model deployment on standard consumer hardware while maintaining security and user control. webAI’s team values truth, ownership, tenacity, and humility, and seeks colleagues who share these principles. Role Overview: Director of Applied Artificial Intelligence The Director of Applied AI leads the design, development, and delivery of advanced AI solutions for public sector and enterprise clients. This leadership role involves managing a team of engineers and applied scientists, delivering essential AI capabilities, and building solutions on distributed AI infrastructure. The director works closely with clients to understand their needs and translate them into scalable, effective AI systems. Key Responsibilities Lead and mentor a multidisciplinary team of engineers and applied scientists Design, develop, and implement AI solutions tailored for enterprise and public sector clients Architect new approaches using distributed AI infrastructure Collaborate with clients to understand requirements and deliver impactful systems Guide applied research strategy and ensure alignment with customer missions and business goals What We Look For Strong technical background in AI and distributed systems Exceptional leadership and communication skills Proven experience delivering projects in high-stakes or rapidly changing environments Ability to mentor and develop team members Alignment with webAI’s values: truth, ownership, tenacity, and humility Location Austin, TX

Last Energy is an innovative technology company committed to transforming the design, manufacturing, and deployment of nuclear power. We're pioneering a new generation of modular, distributed nuclear plants that are engineered for rapid deployment, scalability, and significant real-world impact.We are looking for a Senior Nuclear Engineer to join our dynamic engineering team and lead the analytical efforts behind our cutting-edge microreactor designs. This position exists at the crossroads of innovation and execution, where intricate modeling integrates with the fast-paced environment of a startup. As a technical leader and independent thinker, you will play a pivotal role in influencing design decisions that will shape the future of energy.

Role Overview Honeycomb Insurance is hiring a Senior Underwriter based in Austin, TX. This role focuses on evaluating risk, setting underwriting strategies, and helping grow the company’s insurance portfolio. Decisions made in this position directly influence the quality and direction of Honeycomb’s offerings. What You Will Do Assess and analyze insurance risks for new and existing business Make informed underwriting decisions to support profitable growth Contribute to the development and refinement of underwriting strategies Support Honeycomb Insurance’s mission to deliver strong insurance solutions

Location: Austin, Texas (Remote)About SwapSwap is at the forefront of modern agentic commerce, serving as the advanced infrastructure that seamlessly integrates backend operations with an innovative storefront experience.Designed for brands aiming to sell anything, anywhere, Swap centralizes global operations, enhances intelligent workflows, and enables data-driven decisions with real-time insights. Our solutions encompass cross-border commerce, tax management, returns processing, demand planning, and our state-of-the-art agentic storefront, providing merchants with complete transparency and the confidence to act decisively.At Swap, we cultivate a culture that prioritizes clarity, creativity, and shared ownership as we transform the landscape of global commerce.About the RoleAs a pivotal member of our dynamic team, we are in search of a highly skilled and driven DevOps Engineer to support the development and maintenance of robust, scalable, and efficient cloud infrastructure. In this role, you will be instrumental in designing, implementing, and overseeing our cloud infrastructure and CI/CD pipelines. Reporting directly to the Head of DevOps, you'll collaborate closely with both development and operations teams to automate processes, enhance system performance, and safeguard the security and stability of our applications.Key ResponsibilitiesDesign, implement, and maintain a secure, scalable, and highly available cloud infrastructure.Develop and manage CI/CD pipelines to streamline software delivery and deployment.Implement and manage comprehensive monitoring, logging, and alerting solutions to guarantee system health and performance.Collaborate with development teams to optimize application performance and resolve production issues.Establish and uphold security best practices across our infrastructure and applications.Automate operational tasks and processes to enhance efficiency and minimize manual effort.Participate in on-call rotations for critical incidents, ensuring timely resolutions.Mentor junior DevOps engineers and contribute to team development.Stay abreast of emerging technologies and industry best practices.QualificationsBachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.Proficiency in cloud services such as AWS, Azure, or Google Cloud.Experience with CI/CD tools and processes.Strong scripting skills in languages such as Python, Bash, or similar.Familiarity with containerization technologies like Docker and orchestration tools such as Kubernetes.Solid understanding of networking and security protocols.Excellent problem-solving skills and ability to work under pressure.

Join our dynamic engineering team at leverdemo-8 in Austin, Texas. We are seeking innovative and driven engineers who are eager to contribute to exciting projects across all departments. This is an excellent opportunity to collaborate with talented professionals and advance your career in a vibrant tech environment.

webAI develops distributed AI infrastructure to support personalized solutions. The company emphasizes scalable and adaptable systems that process data near its source, helping protect both sensitive information and intellectual property. Its platform enables organizations to run large AI models on everyday consumer hardware while keeping embedded data secure. Integrity, accountability, resilience, and humility guide the team’s work, and webAI seeks individuals eager to shape the direction of AI technology. The AI Research Scientist role is based in downtown Austin within webAI’s Intelligence Lab. This position focuses on designing original AI models and tackling practical challenges in the field. Success depends on both creative problem-solving and the measurable impact of developed models. Collaboration with engineers and research leaders is central, and the team values frequent experimentation as they build efficient, privacy-conscious systems. Main Responsibilities Algorithm Development: Create and train new model architectures, including Transformers, State-Space Models, and Diffusion models, to address complex business needs. Experimental Design: Lead hypothesis testing, establish evaluation benchmarks, and define loss functions that align with human intent. Literature Engagement: Keep up with research on ArXiv and participate in conferences such as NeurIPS, ICML, and CVPR to apply or extend recent findings. Prototyping: Develop proof-of-concept models that demonstrate improvements in accuracy, speed, or reasoning. Knowledge Sharing: Document research outcomes and methodologies to support ongoing team learning and collaboration.

Join us in transforming the connection to social care.At findhelp, we have developed an extensive suite of products and services designed to facilitate connections between individuals and essential resources. Our platform empowers users to navigate their journey and measure the impact of their engagements efficiently and effectively. Our unparalleled social care network encompasses over half a million local, state, and national programs, ensuring that every ZIP code in the nation has access to vital services, from rural communities to bustling cities.Headquartered in Austin, Texas, findhelp has been at the forefront of enabling healthcare, government, education, and various organizations to link individuals to the social care resources they require, with a commitment to privacy and security, since our inception in 2010.As a mission-driven entity, our focus remains on fostering positive impacts by connecting those in need with the programs that dignify and support them. Our proprietary technology has already assisted millions of Seekers in locating food, health, housing, and employment resources.As a Senior Staff Software Engineer at findhelp, you will be instrumental in enhancing our platform, seamlessly integrating our nationwide social services network. You will collaborate with a cross-functional development team, engaging closely with various departments to deliver high-quality products that meet user needs. Your leadership will be characterized by a positive attitude, a strong work ethic, and substantial contributions to both the technical and cultural dimensions of engineering, all driven by a profound understanding of user impact. You will also have the opportunity to mentor junior engineers, fostering their growth and the overall advancement of the company.

About Us: At webAI, we are pioneering the first comprehensive private AI platform tailored for enterprises and governments, enabling them to harness AI capabilities directly on their data. Our unique approach to artificial intelligence emphasizes specialization, sovereignty, efficiency, and sustainability, addressing real-world challenges rather than simply increasing computational demands. Our innovative technology empowers the creation of robust AI systems using minimal data, defying the conventional belief that vast datasets are essential for unlocking AI's potential. Join us to be part of a rapidly expanding team that values a dynamic and growth-focused work environment, where your contributions can lead to meaningful advancements for society.About the Role: We are in search of a highly skilled Senior Staff Machine Learning Engineer specializing in Large Language Models (LLMs) and Mixture of Experts (MoEs). The ideal candidate will possess a solid history of developing and successfully deploying cutting-edge AI models.Responsibilities: Drive the advancement and refinement of Large Language Models and Mixture of Experts systems.Collaborate effectively with interdisciplinary teams to embed machine learning models into our platform.Engage in pioneering research within the machine learning domain, focusing on enhancing the performance and efficiency of LLMs.Keep updated with the latest trends and breakthroughs in AI and machine learning, applying insights to enhance our models and practices.Mentor junior engineers, fostering knowledge sharing and promoting best practices within the team.Qualifications: Ph.D. or advanced degree in Computer Science or a related discipline.Established track record of innovation and contributions to the field, evidenced by publications or substantial industry experience.A minimum of 6 years of hands-on experience in machine learning, with specialized knowledge in Large Language Models and Mixture of Experts.Proficient programming skills in Python along with experience using machine learning frameworks such as TensorFlow and/or PyTorch.Proven ability to lead complex projects and collaborate effectively in a team-oriented environment.

About Us:At webAI, we are at the forefront of artificial intelligence innovation, establishing a pioneering distributed AI infrastructure tailored for personalized AI solutions. We acknowledge the growing demands of a data-driven world that necessitates both scalability and flexibility. Our vision centers on distributed processing at the edge, which allows computation to occur closer to data generation sources. Our mission is to create a future where valuable corporate data and intellectual property are kept entirely confidential, enabling large-scale AI model deployment on standard consumer hardware without compromising sensitive information. We are building a comprehensive platform that is secure, scalable, and fully user-controlled, providing enterprises with AI solutions that cater to their specific business needs. Our team embodies the values of truth, ownership, tenacity, and humility, and we actively seek individuals who share these principles and are driven to shape the future of AI.About the Role:As an AI Research Scientist, you will play a vital role in the development of next-generation AI models and systems at webAI. Your responsibilities will include designing, training, evaluating, and optimizing cutting-edge machine learning models such as large language models, multimodal architectures, and on-device inference systems. You will collaborate closely with research leadership, applied AI teams, and platform engineering to push the boundaries of scientific discovery while ensuring that our innovations have a tangible impact in the real world.This position is ideal for someone who thrives on experimentation, enjoys tackling complex challenges, and is committed to creating powerful, efficient, and privacy-preserving AI technologies.