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Key Responsibilities:Design, build, and operate reliable production infrastructure for AI Co-Workers. Take ownership of Kubernetes-based platforms for deploying and managing AI workloads. Utilize Terraform for infrastructure as code, ensuring efficient provisioning and automation. Implement and maintain Helm-based deployment workflows. Define, measure, and enhance system reliability through SLIs, SLOs, and SLAs. Participate in on-call rotations, incident management, root cause analysis, and post-incident reviews. Minimize operational toil through automation and engineering enhancements. Enhance observability through advanced monitoring, logging, and alerting. Work in close partnership with engineers to ensure systems are resilient, scalable, and secure. Engage throughout the software lifecycle, from build to deployment and operations. Must-Have Qualifications:Proven hands-on experience with Kubernetes, including designing and managing workloads on EKS, AKS, GKE, or self-managed Kubernetes. Practical experience with Terraform for infrastructure provisioning and automation. Experience with Helm for Kubernetes application deployment. Proficiency in at least two programming or scripting languages such as Python, Go, Java, Bash, PowerShell, or Ruby. Previous experience as a Site Reliability Engineer or in a similar capacity, including aspects of reliability engineering, on-call duties, incident response, and post-mortem analysis. Preferred Qualifications:Experience working within a defined Software Development Life Cycle (SDLC).
About the job
About Future Secure AI
Future Secure AI develops solutions in artificial intelligence for real-world business challenges. The company values courage, precision, and curiosity, and supports an entrepreneurial culture where every team member is recognized. Leadership is experienced and approachable, with a focus on supporting individual growth. Team members work alongside colleagues from diverse backgrounds and contribute to projects that have impact across industries.
Role Overview: Site Reliability Engineer
The Site Reliability Engineer will design, build, and maintain the platforms that power Future Secure AI's AI Co-Workers. This is a hands-on position with responsibility for reliability throughout the product lifecycle. The role involves close collaboration with product, AI, and engineering teams to ensure platform stability and performance.
About Future Secure AI
At Future Secure AI, we are dedicated to transforming the landscape of artificial intelligence by addressing real challenges faced by enterprises. Our innovative approach, combined with a commitment to team growth and collaboration, sets us apart in the industry.
About Future Secure AI Future Secure AI develops solutions in artificial intelligence for real-world business challenges. The company values courage, precision, and curiosity, and supports an entrepreneurial culture where every team member is recognized. Leadership is experienced and approachable, with a focus on supporting individual growth. Team members wo…
In 2024, cybercrime rates are anticipated to escalate, as evidenced by the FBI's IC3 report, which highlighted a staggering loss of over $16 billion. The real estate sector, unfortunately, remains a prime target for cybercriminals, particularly through investment fraud and BEC scams. At CertifID, we are committed to combating this threat by offering a secure platform that authentically verifies the identities of transaction participants, validates wire transfer instructions, and identifies potential fraud attempts. Our innovative technology is engineered to reduce risks, ensuring that every transaction is executed with utmost confidence and security.Our success hinges on our exceptional team. Recognized as one of the Best Startups to Work in Austin, we proudly made the Inc. 5000 list and received the award for Best Culture by Purpose Jobs for three consecutive years. Our core values and vision for a world without wire fraud guide us as we strive to create a dynamic work environment where every team member can make a significant impact in enhancing security and combating fraud.Position Overview:We are on the lookout for a Senior Site Reliability Engineer (Senior SRE) to spearhead reliability enhancements within our production SaaS environment. You will play an essential role in developing scalable infrastructure models, advancing our observability efforts, optimizing incident response, and collaborating with engineering teams to integrate reliability into system design and deployment.This position is tailor-made for a seasoned Senior SRE who thrives on tackling intricate operational challenges, building automation solutions, and mentoring fellow engineers.
About Future Secure AI Future Secure AI develops artificial intelligence solutions for global enterprises facing complex challenges. The team works with advanced technology and values bold thinking, careful execution, and curiosity. BRAVER values guide daily work and decision-making. Leadership brings an entrepreneurial approach and remains accessible, making sure each team member feels recognized. The company invests in professional growth, recognizing that individual success drives collective achievement. Team members collaborate with skilled colleagues and contribute to meaningful projects in a supportive environment.
At BetterUp, we believe in the power of human transformation, and our approach to the employer-employee relationship reflects that belief.From the moment you engage with us, you will notice a distinct experience. It's not just about filling a position; it's about joining a mission-driven team.Upon accepting an offer, you gain more than just a paycheck—you will receive a dedicated BetterUp Coach, a personalized development plan, and a supportive manager. You'll also be part of an extraordinary team, each member accompanied by their own BetterUp Coach, working on projects that make a real impact.This unique environment fosters a focused and fulfilling work experience. While it may not be for everyone, for those who are passionate and driven, this role represents a transformative career opportunity.Join us for an intense and rewarding journey, where you'll engage in meaningful work within a vibrant and creative culture.If this resonates with you and the job description aligns with your skills, let’s start a conversation.As a hybrid company, we emphasize in-person collaboration when necessary. Employees must be available to work from one of our office hubs a minimum of two days per week, totaling eight days per month. Our US hubs include: Austin, TX; Chicago, IL; New York City, NY; San Francisco, CA; and the Washington, DC metro area. For roles based in Europe, our hubs are located in London, UK, and Amsterdam, NL. Please ensure you can commit to this structure before applying.Key Responsibilities:Utilize AI-driven tools and automation to enhance monitoring, troubleshooting, and maintenance of production systems.Develop and manage cloud infrastructure on AWS, employing Terraform for codifying and version-controlling our environments.Oversee and scale Kubernetes clusters that support BetterUp's platform, ensuring optimal availability and performance.Create intelligent alerting and observability frameworks.Collaborate with engineering teams to integrate reliability into the development lifecycle, proactively addressing operational concerns.Automate incident response processes and establish self-healing infrastructure.Explore and implement cutting-edge AI tools for log analysis, anomaly detection, and predictive maintenance.
Full-time|$80K/yr - $110K/yr|On-site|Austin, TX - US
About Future Secure AI Future Secure AI develops advanced artificial intelligence solutions for global enterprises. The company values courage, rigor, and curiosity, and encourages employees to bring bold ideas to the table. Leadership is approachable and experienced, supporting both personal and professional growth. Team members are valued as individuals and have the chance to work alongside experts in the field. Role Overview: Data Scientist - Applied Science The Platform team at Future Secure AI seeks a Data Scientist - Applied Science based in Austin, TX. This role focuses on advancing the company’s AI platform, with a special focus on large language model (LLM) technology. The position involves developing and implementing sophisticated AI models to address complex, real-world problems for enterprise clients. What You Will Do Develop and implement advanced AI models, with an emphasis on foundational LLMs Enhance the capabilities of the company’s core AI platform Collaborate closely with engineers, researchers, and product leaders Apply AI models to solve challenging problems across diverse sectors Influence the direction and impact of the AI platform within the partner ecosystem Contribute to the architecture and future of intelligent systems, beyond model building Location Austin, TX (United States)
About Future Secure AI Future Secure AI builds advanced artificial intelligence solutions for global enterprises. The team focuses on solving complex challenges across multiple industries. The company values courage, diligence, and a drive to learn, guided by its BRAVER principles. Professional growth is a priority, with support for ongoing development. Collaboration with experienced colleagues and meaningful projects are part of daily life here. Senior Product Manager Role This Senior Product Manager position centers on leading a major area of the company’s core AI platform. The work directly supports AI teams, helping them develop, deploy, and scale AI models quickly and reliably. Acting as the main advocate for both developer and operational teams, this role involves gathering their needs and translating them into a clear product roadmap. The goal: deliver the right tools and infrastructure for internal teams to succeed. Success in this role depends on a strong grasp of relevant technologies and a focus on building an outstanding developer experience. Location Austin, TX
About Future Secure AI Future Secure AI develops artificial intelligence solutions for global enterprises. The company focuses on real-world challenges and works across multiple industries. The culture encourages curiosity, careful thinking, and bold ideas. Leadership is experienced, entrepreneurial, and approachable. Professional growth and development are a priority, and team members are valued as individuals. Role Overview: Senior Technical Program Manager This Senior Engineering Program Manager (EPM) position centers on leading and improving DevSecOps programs. The role sits at the intersection of engineering, security, and product delivery. Managing complex, cross-team projects is a core responsibility. What You Will Do Drive DevSecOps initiatives from planning through execution Coordinate work across engineering, security, and product teams Communicate technical concepts clearly with engineers and architects Challenge assumptions and identify project interdependencies Support teams in making sound decisions without direct hands-on engineering Location Austin, TX
Site Reliability Engineer Overview: Join Weedmaps as a Site Reliability Engineer and collaborate with diverse teams across application development, infrastructure, and quality assurance to elevate the performance, reliability, and scalability of our web services at Weedmaps.com. As a fully cloud-native organization, we operate all our services within Docker containers on Kubernetes, hosted on AWS. Our culture promotes observability, proactive monitoring, and CI/CD automation, enabling us to release multiple production updates daily. In this role, you will utilize your engineering expertise to improve system monitoring, streamline CI workflows, and refine our deployment pipelines. You will serve as a knowledge resource for development teams, guiding them in utilizing standardized tools for metrics, logging, and deployment processes. Collaborate closely with both development and infrastructure teams to identify key service metrics that go beyond the basics, working with application teams to develop libraries that facilitate easy instrumentation of their services. Your Impact: Collaborate with stakeholders to establish best practices in monitoring and CI/CD pipelines. Troubleshoot issues within our deployment CI pipeline. Promote and support a strong DevOps culture within Weedmaps. Identify automation opportunities and advocate for codification across all processes. Share best practices regarding collaboration, reliability, security, and performance with all partner teams. Take responsibility for the configuration and scaling of applications, ensuring adherence to organizational practices. Develop and enhance synthetic monitoring workflows.
As the leading online platform for real estate professionals for over 25 years, Realtor.com® connects buyers, sellers, and renters with trusted insights and expert guidance to find their ideal home. Our comprehensive suite of tools significantly impacts the real estate industry and enhances the consumer experience, making it simple, understandable, and empowering for individuals navigating one of life's biggest purchases.Join us in our mission to help people find their way home by dismantling barriers to entry, establishing the right connections, and fostering confidence through expert guidance.About the RoleWe are looking for a Senior Site Reliability Engineer to become a crucial member of our newly established Operations Excellence organization, reporting directly to the Director of Operations Excellence. In this pivotal role, you will enhance the reliability, observability, and operational excellence of our platform infrastructure that serves millions of users. As a Senior SRE, you will be a key technical contributor, implementing best practices, addressing complex challenges, and empowering our team of over 600 engineers to deliver outstanding customer experiences.Your responsibilities will include working on critical platform systems such as EKS infrastructure, Skyway (CI/CD), Frontdoor (Tyk API Gateway), Pantheon (Apollo GraphQL Federation), and our observability stack. You will also play a part in chaos engineering practices and cost optimization initiatives, ensuring measurable ROI.We believe in employing the best tools to solve problems efficiently. You will be expected to adeptly use AI coding assistants and LLMs to accelerate development speed, generate boilerplate code, and resolve complex debugging issues. Beyond mere usage, this role demands the critical judgment to evaluate AI-generated outputs for security, performance, and accuracy. You should be comfortable incorporating AI tools into your daily routines to reduce repetitive tasks, allowing you to concentrate on high-impact architectural and strategic engineering challenges.What You'll DoPlatform Reliability & InfrastructureDesign, implement, and maintain highly available AWS infrastructure, including EKS clusters, Fargate (ECS), and multi-region architectures.Ensure the reliability of essential services: Skyway (CI/CD), Frontdoor (Tyk), Pantheon (Apollo GraphQL), and their supporting infrastructure.Monitor SLIs, SLOs, and error budgets for Tier 1/2/3 systems; participate in architectural reviews focused on reliability and cost-efficiency.Implement reliability patterns such as circuit breakers, graceful degradation, and automatic failover strategies.
Full-time|On-site|Austin, TX/Akron, Ohio/Irvine, CA
Join Restaurant365 as a Site Reliability Engineer II, where you'll play a vital role in ensuring the availability, performance, and reliability of our systems. You will collaborate with cross-functional teams to design, implement, and maintain robust infrastructure solutions that enhance our operational efficiency.
For over 25 years, Realtor.com® has stood as the premier online platform trusted by real estate professionals, seamlessly connecting buyers, sellers, and renters with invaluable insights and expert advice to discover their ideal home. Our comprehensive suite of tools not only transforms the real estate landscape, but also aids consumers in navigating one of life's most significant decisions—making it simple, intuitive, and empowering.Join us in our mission to enable more individuals to find their way home by dismantling barriers, fostering meaningful connections, and instilling confidence with expert guidance.About the RoleWe are on the lookout for a Staff Site Reliability Engineer to become a vital member of our newly established Operations Excellence organization, reporting directly to the Director of Operations Excellence. This pivotal position will define the reliability, observability, and operational excellence of our platform infrastructure that serves millions of users. As a Staff SRE, you will take on a technical leadership role, mentoring others and establishing best practices, while influencing architectural decisions to empower our team of 600+ engineers in delivering outstanding customer experiences.You will engage with crucial platform systems, including EKS infrastructure, Skyway (CI/CD), Frontdoor (Tyk API Gateway), Pantheon (Apollo GraphQL Federation), and our observability stack, all while implementing chaos engineering practices and spearheading cost optimization initiatives that yield measurable ROI.We are committed to employing the best tools to expedite problem-solving. You will be expected to adeptly utilize AI coding assistants and LLMs to enhance development speed, generate boilerplate code, and troubleshoot intricate debugging scenarios. In addition to basic usage, this role demands the critical judgment to assess AI-generated outputs for security, performance, and accuracy. You should be comfortable incorporating AI tools into your daily tasks to minimize repetitive work, allowing you to concentrate on high-impact architectural and strategic engineering challenges.What You'll DoPlatform Reliability & InfrastructureDesign and maintain highly available AWS infrastructure, including EKS clusters, Fargate (ECS), and multi-region architectures.Take ownership of the reliability of essential services: Skyway (CI/CD), Frontdoor (Tyk), Pantheon (Apollo GraphQL), and associated infrastructure.Establish SLIs, SLOs, and error budgets for Tier 1/2/3 systems; lead architectural reviews focused on reliability and cost-efficiency.Drive...
About Future Secure AI Future Secure AI develops advanced artificial intelligence solutions for global enterprises. The company focuses on solving complex problems across multiple industries, driven by a culture that values bravery, rigor, and curiosity. Leadership encourages open communication and values contributions from every team member. Professional growth is a priority, with support for ongoing development. The team includes experienced leaders and skilled engineers who work collaboratively to create impactful products.
Join our dynamic team at PIMCO, a premier global asset management firm with a commitment to helping millions of investors achieve their financial aspirations. With over 3,000 employees across 20 offices in 15 countries, we seek innovative thinkers who thrive in a collaborative environment. At PIMCO, we value diversity, hard work, and a continuous learning ethos.As a Java Site Reliability Engineer (SRE) specializing in Messaging Platforms, you will play a critical role in shaping our technology strategies to enhance operational efficiency. Your responsibilities will include supporting various messaging platforms such as MQ, AMPS, and Kafka, ensuring optimal tool selection and sustainable messaging strategies. You will also focus on improving operational efficiency through advanced tools and monitoring systems.This position requires a passion for messaging systems, collaborative problem-solving skills, and a strong foundation in software development. You will have the opportunity to contribute to critical business solutions that align with our strategic vision for trading applications.
Join NODA AI as an Autonomy Engineer (AI)Location: Austin, TX (Hybrid with up to 20% travel)Clearance Requirement: U.S. Citizen with the ability to obtain a security clearance.About NODA AINODA AI is a pioneering, veteran-owned technology firm dedicated to revolutionizing the collaboration of unmanned systems in complex, mission-critical scenarios. Our innovative solutions are at the forefront of autonomous orchestration across diverse domains, including air, sea, land, and space, serving essential functions in the defense, intelligence, and commercial sectors.Our autonomy engineers are vital in bridging the gap between high-level AI-driven mission objectives and effective real-world execution, enabling UAVs, USVs, and UUVs to operate seamlessly in challenging environments. By joining our team, you will contribute to transformative technology that redefines the limits of autonomy in a collaborative, fast-paced atmosphere.The RoleAs an Autonomy Engineer, you will be instrumental in designing and implementing the autonomy stack that drives adaptive multi-vehicle orchestration. Your expertise will focus on mission planning, path generation, behavior execution, and task allocation within diverse fleets.You will work at the convergence of AI reasoning frameworks, ROS2-based autonomy stacks, and distributed multi-agent systems to ensure mission intent is executed reliably and adapted to real-world conditions. Success in this role demands a robust technical foundation in robotics, practical systems thinking, and a fervor for delivering dependable autonomy solutions.Key ResponsibilitiesDesign and implement autonomy modules, including path planning, task allocation, behavior trees, and reactive execution models.Develop and maintain the autonomy framework that interconnects with orchestration (AI-driven mission planning) and world modeling.Ensure AI-generated plans are executable, explainable, and safe across multi-domain robotic platforms.Implement and validate navigation, control, and autonomy behaviors for UAVs, USVs, and UUVs using ROS2 and simulation environments.Profile and optimize autonomy performance for edge compute hardware (e.g., Jetson, Raspberry Pi-class devices).
Future Secure AI develops artificial intelligence solutions for large enterprises in multiple industries. The company values curiosity, adaptability, diligence, and a willingness to challenge assumptions. Employees work in a supportive setting with direct access to leadership and a focus on professional growth. The BRAVER values shape daily collaboration and decision-making. Role overview The Technical Recruiter will join the People & Culture team in Austin, TX. The main focus is to find and hire top technical talent for AI engineering, platform, data science, and product teams. This position works closely with engineering leaders and hiring managers, helping build teams that advance the company’s mission in enterprise AI. The recruiter’s work has a direct impact on Future Secure AI’s success. What you will do Source and engage candidates for technical roles in AI, platform engineering, data science, and product development Work with hiring managers and engineering leads to clarify role requirements and shape hiring strategies Oversee the full recruitment process, from initial outreach through offer acceptance Represent Future Secure AI’s culture and values throughout the candidate journey What we value Interest in artificial intelligence and platform engineering Collaboration and open communication Adaptability and a commitment to continuous learning Dedication to building diverse, high-performing teams Location This role is based in Austin, TX.
AI/ML Engineer – NODA AILocation: Austin, TX (Hybrid work model, with up to 20% travel required)Clearance Requirement: U.S. Citizenship with eligibility to obtain a security clearanceAbout NODANODA is a veteran-owned, venture-backed technology firm dedicated to revolutionizing the collaboration of unmanned systems in intricate, mission-critical settings. We are at the forefront of developing cutting-edge solutions that facilitate the autonomous management of diverse unmanned systems across air, sea, land, and space, with essential applications in defense, intelligence, and commercial industries.As an AI/ML Engineer, you will be engaged in pioneering work in autonomous intelligence, crafting and deploying AI agents that effectively align mission intent with real-world execution through sophisticated reasoning frameworks and multi-domain orchestration capabilities.Joining NODA means becoming part of a team that values innovation, rapid iteration, and collaboration, working on impactful technology that advances the field of autonomy.The RoleWe are looking for a talented AI/ML Engineer to design and implement intelligent agents that facilitate adaptive mission planning and orchestration across multi-domain unmanned systems. This position will center on LLM orchestration frameworks, agent reasoning systems, and deploying AI models in edge computing environments on autonomous vehicles.You will develop systems that convert high-level mission objectives into actionable autonomous behaviors, adapt plans dynamically as situations evolve, and provide clear reasoning to human operators. Your contributions will integrate seamlessly with our ROS autonomy stack while ensuring dependable AI performance on resource-limited edge hardware.Key ResponsibilitiesDesign and implement LLM orchestration frameworks for mission planning and task decomposition across varied vehicle fleets.Create agent reasoning systems that connect high-level mission goals with executable autonomy commands.Optimize and quantize large language models and agent frameworks for deployment on edge computing hardware (e.g., Jetson, companion computers).Oversee the entire lifecycle of AI agents, including model versioning, prompt engineering, tool integration, and memory management.Develop human-in-the-loop workflows that ensure transparent and explainable AI reasoning for operators.
About Future Secure AI Future Secure AI develops AI solutions for complex challenges faced by global enterprises. The team values courage, hard work, and curiosity, guided by BRAVER values. Leadership brings entrepreneurial experience and stays accessible, recognizing each person’s contributions. Professional growth is a priority, and achievements are shared. Team members work alongside experts and have opportunities to make a real impact. Role Overview The Quality Assurance Engineer will help ensure Future Secure AI’s products meet high standards for quality and performance. This position supports technology teams in both Austin, TX and New York, NY. The role calls for strong knowledge of QA methodologies, attention to detail, and a commitment to high standards. Experience with both manual and automated testing is important. The engineer will also mentor junior team members. What You Will Do Collaborate with development teams to understand product requirements and translate them into effective test plans. Carry out comprehensive testing of software applications, including functional, regression, performance, and security testing. Identify, document, and track bugs through to resolution, ensuring timely follow-up and retesting. Mentor junior QA engineers and support a culture of quality and continuous improvement. Lead improvements in QA processes and encourage adoption of new tools and approaches. Join code reviews and provide feedback from a QA perspective. Work closely with DevOps and Development teams to integrate testing into the CI/CD pipeline. Analyze and report test results, sharing actionable insights with stakeholders.
Full-time|On-site|Austin, TX; New York, NY; Toronto, CAN
About Future Secure AI Future Secure AI develops artificial intelligence solutions for real-world business challenges. The company’s technology supports teams across industries, emphasizing bold thinking, rigor, and curiosity. BRAVER values shape both the work and team culture, encouraging open communication and making space for every voice. Leadership maintains an open-door policy and supports individual growth as the company advances AI together. Role Overview: Senior AI Engineer – Software Development Senior AI Engineers (Software) at Future Secure AI lead customer-facing projects and collaborate with both client and partner technical teams. The role also works closely with internal groups to refine and improve technology solutions. Responsibilities span hands-on coding and aligning technical work with broader business and product strategies. Strong organizational skills and a drive to advance AI technology are essential. Locations Austin, TX New York, NY Toronto, CAN
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.
About GoodLeap:GoodLeap is an innovative technology firm focused on providing premier financing and software solutions for sustainable products, including solar panels, batteries, and energy-efficient systems such as HVAC, heat pumps, roofing, and windows. With a mission to enhance accessibility and affordability in sustainable technology, we have successfully assisted over 1 million homeowners through our seamless technology. Thousands of professionals in the solar and home efficiency sectors utilize GoodLeap’s proprietary AI-driven applications and developer tools to foster transparent customer communication, gain deeper business insights, and streamline operations and payment processes. Since our inception in 2018, our platform has facilitated over $30 billion in financing for sustainable initiatives. Additionally, GoodLeap is proud to support our award-winning nonprofit, GivePower, which is dedicated to creating and deploying life-saving water and clean electricity solutions that have transformed the lives of more than 1.6 million individuals across Africa, Asia, and South America.Position OverviewWe are seeking a highly skilled Staff AI Engineer to join our dynamic team. In this role, you will be instrumental in developing, maintaining, monitoring, and scaling our AI products and components. You will leverage engineering best practices to cultivate a culture of software quality and operational excellence across the organization. Collaborating closely with Product Managers and stakeholders, you will contribute to defining the product roadmap and shaping our overarching technical strategy.
Feb 17, 2026
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