Site Reliability Engineer II

About Striveworks Striveworks develops artificial intelligence solutions that help organizations address national security and business challenges. The company connects data, models, and outcomes to streamline AI deployment and ongoing optimization. Founded by data scientists and engineers, Striveworks focuses on building AI systems that are reliable, scalab…

Join Us in Revolutionizing AI for a Dynamic FutureAt Striveworks, we empower organizations to leverage artificial intelligence to tackle pressing national security and business challenges. As a pioneer in the field, we facilitate a seamless connection between data, models, and actionable business outcomes. Our team, comprised of data scientists and engineers, has dedicated itself to simplifying the transition from deployment to continuous optimization.With Striveworks, your focus will be on creating AI systems that are not just deployable, but also dependable, flexible, and scalable in the face of uncertainty. Our solutions are designed for mission-critical operations that demand models capable of performing effectively, scaling with increased workloads, and rapidly adapting to advancements in AI technology. We prioritize reliability, performance, and cost-effectiveness, enabling organizations to make informed, data-driven decisions in ever-changing environments.Your RoleAs a Senior Software Engineer at Striveworks, you will be entrusted from day one to play a pivotal role in shaping our products and company trajectory. Our flagship product, Chariot, is utilized by clients to develop, deploy, and manage production machine learning models. We seek exceptional engineers with a product-oriented mindset, proficient in Go and Python, who are eager to contribute significantly to our strategic direction. If you possess a strong technical skill set and continuously strive to push your boundaries, you are the right fit for this role. We value outcome-driven professionals over those fixated on mere requirements. Our core development themes include:Everything as CodeCloud-neutral DevelopmentUser-centric DesignHexagonal, Event-driven, Microservice ArchitectureOptimizing, Deploying, and Refining AI Models and AlgorithmsThis position offers the flexibility of a fully remote work environment or the option for hybrid/on-site work at our Austin, TX office.

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.

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.

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.

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...

Shape the Future of AI in an Unpredictable World At Striveworks, we empower organizations to leverage artificial intelligence to tackle real-world challenges in national security and business sectors. Our mission is to serve as the command center that connects data, models, and business outcomes, making the journey from deployment to ongoing optimization seamless. Founded by a team of dedicated data scientists and engineers, we are committed to creating reliable and scalable AI systems that adapt to the ever-changing landscape. Our clients don’t just implement AI; they develop robust systems that enhance reliability and performance while reducing costs, enabling informed, data-driven decisions in dynamic environments. We understand that mission-critical operations require AI models that not only function effectively where they are deployed but also scale as workloads increase and evolve with advancements in technology. Your Role As a Senior Machine Learning Engineer at Striveworks, you will immediately be an integral part of our team, contributing to customer-driven projects and the development of our core products. You will play a critical role in projects that utilize Chariot, our proprietary AIOps platform, and you will actively shape the future capabilities of this platform. Collaborating with data scientists, software engineers, and DevOps professionals, you will convert machine learning models into operational capabilities that deliver value. If you are passionate about pushing the boundaries of your technical expertise and enjoy applying both software engineering and data science to solve real-world issues, this opportunity is for you. You appreciate the importance of customer-centric solutions, clear communication, and the ability to capture repeatable value in productized capabilities. Your daily responsibilities will include: Collaborating with customers, engineers, and stakeholders to define and clarify requirements that address customer challenges while utilizing our AI operations platform. Developing machine learning models and custom analytics applicable to various data types including image, video, text, geospatial, time series, and structured data. Orchestrating and automating intricate data engineering and analytical pipelines. Envisioning, specifying, and occasionally designing and implementing key product functionalities. Engaging in mission-critical fieldwork opportunities. This position offers the flexibility of a fully remote work environment, or you can opt for a hybrid approach by working on-site at our office in Austin.

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.

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.

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.

Striveworks builds dependable AI systems for national security and business challenges. The team connects data, models, and operational needs, supporting organizations as they move from initial deployment to ongoing optimization. Their proprietary AIOps platform, Chariot, is central to delivering adaptable solutions that perform reliably in changing environments. Role overview The Machine Learning Engineer will work in Austin, Texas, contributing to both customer projects and Striveworks’ core product development. This position requires hands-on engineering with Chariot and offers the chance to influence future platform features. Collaboration is key: expect to work closely with data scientists, software engineers, and DevOps specialists to turn machine learning models into operational solutions. An active Secret clearance is required, and the role is based onsite or in a hybrid setup at the northwest Austin office. Travel may reach up to 30%. What you will do Create machine learning models and custom analytics across diverse data types, including image, video, text, geospatial, time series, and structured data. Coordinate and automate complex data engineering and analytics pipelines. Help design and implement important product features. Support customers and stakeholders through mission-critical fieldwork. Who thrives here Engineers who bring technical skill, curiosity, and a focus on results tend to succeed at Striveworks. The role suits those who blend software engineering with data science, communicate clearly, and build repeatable value into product features while keeping customer needs in focus. Location and travel Hybrid or onsite at the Striveworks office in northwest Austin, TX Travel up to 30% may be required

Role Overview Striveworks is hiring a Staff Machine Learning Engineer to help shape solutions in machine learning and artificial intelligence. This role works on projects that require an active Secret Clearance, supporting sensitive initiatives where security and compliance matter. What You Will Do Work with a skilled team to design and build machine learning systems Contribute to technology that supports business objectives Apply expertise to projects requiring careful attention to security standards Location This position is based in Austin, Texas, with remote options available. Requirements Active Secret Clearance Experience in machine learning and artificial intelligence

Striveworks brings together data scientists and engineers to help organizations solve national security and business challenges with artificial intelligence. The team focuses on making AI systems dependable, adaptable, and scalable, supporting data-driven decisions as needs and technology evolve. Their work aims to improve model performance and reduce costs in complex environments. Role overview This hybrid Data Scientist position is based in northwest Austin, Texas, and requires an active Secret Clearance. The role shapes projects and products from the ground up, representing Striveworks as a technology leader on efforts using Chariot, the company’s proprietary AIOps platform. Collaboration with data scientists, machine learning engineers, software engineers, and DevOps engineers is central, with a focus on turning machine learning models into operational solutions. Travel up to 30% may be needed. What you will do Develop and validate machine learning models and custom analytic algorithms for various data types, including image, video, text, geospatial, time series, and structured data. Build and implement AI-driven software solutions for both cloud and edge environments. Conduct fieldwork to support customers and stakeholders as required. What matters for success Strong technical abilities with a focus on delivering results. Experience applying software and data science to real-world challenges. Ability to keep customer needs central and communicate well with both technical and non-technical audiences. Comfort working in teams to identify repeatable value and translate customer feedback into insights for product teams. Willingness to travel up to 30% and work in a hybrid setting in Austin, TX. Active Secret Clearance is required for this role.

Join our dynamic team at Striveworks as a Senior Data Scientist, where you will play a pivotal role in shaping data-driven solutions that drive business insights and innovation. In this position, you will leverage your expertise in statistical analysis, machine learning, and data modeling to extract meaningful insights from complex data sets.Your responsibilities will include developing predictive models, collaborating with cross-functional teams, and presenting findings to stakeholders to inform strategic decisions. If you have a passion for harnessing data to solve real-world problems, we want to hear from you!

Lead the Future of AI Communications At Striveworks, we empower organizations to leverage artificial intelligence to tackle pressing national security and business challenges. As the nexus between data, models, and actionable insights, we aim to simplify the journey from AI deployment to ongoing optimization. Our innovative approach ensures that businesses don’t just implement AI; they cultivate systems that are resilient, flexible, and scalable in an ever-evolving landscape. Striveworks is committed to delivering reliable, high-performance models that adapt swiftly to advancements in AI, all while optimizing costs and facilitating confident, data-informed decision-making. The Opportunity In the role of Vice President of Communications, you will play a pivotal role from day one in narrating our story to diverse audiences including markets, partners, and customers. You will focus on refining our product marketing and bolstering our company's visibility and recruitment efforts. You will be granted the autonomy to develop and execute integrated marketing communications strategies that align with our rapid growth. This position involves building and leading a dynamic marketing and communications team to directly support our sales and product initiatives. Collaborating with a passionate and talented group, you will help articulate our vision in a clear and engaging manner, maintaining technical accuracy while making it accessible. Your daily responsibilities will encompass: Developing a cohesive marketing and communications strategy for a pioneering AI organization. Creating persuasive digital and print content to facilitate market entry. Working closely with internal teams to support seamless product launches. Driving media relations and thought leadership efforts to enhance brand recognition and industry credibility. Overseeing external public relations and advertising agency partnerships to ensure cohesive and effective communication campaigns. This position is based in a hybrid work environment at our office in northwest Austin, TX.

Striveworks is looking for a Senior Data Scientist with an active Secret clearance. This role can be based in Austin, Texas or performed remotely. This position shapes projects and products from the ground up. The Senior Data Scientist represents Striveworks in engagements, develops solutions using the Chariot AIOps platform, and helps drive its evolution. Collaboration is central: work alongside data scientists, machine learning engineers, software engineers, and DevOps professionals to bring machine learning models into practical use. What you will do Partner with customers, engineers, and stakeholders to define requirements that address real challenges and maximize the value of the AIOps platform. Design and validate machine learning models and analytic algorithms for a range of data types, including image, video, text, geospatial, time series, and structured data. Automate and coordinate complex data and analytic workflows. Implement AI-driven software solutions in both cloud and edge computing environments. Conduct fieldwork, collaborating directly with customers and stakeholders. What you bring Strong technical skills and a drive to solve practical problems. Results-oriented mindset, with attention to detail and a focus on customers. Ability to spot recurring value, understand changing customer needs, and turn feedback into actionable insights for product teams. Active Secret clearance required.

As a Housekeeper at fuku, your primary responsibilities will include maintaining cleanliness and orderliness within our facilities. You will perform a range of cleaning tasks such as sweeping, mopping, dusting, and polishing surfaces to ensure that all areas are immaculate and well cared for.Your attention to detail will help ensure that all rooms are inspected and maintained according to our high standards. You will also be responsible for protecting our equipment and promptly notifying your supervisors of any damages or concerns.In this role, you will handle guest complaints and requests with professionalism and patience, ensuring a positive experience for all visitors. You will monitor inventory levels of consumables and replace items as necessary, adhering strictly to health and safety protocols.Join our team where your contribution will make a difference in providing a clean and welcoming environment for our guests.

Innovate, Deploy, and Sustain AI Solutions for a Dynamic EnvironmentAt Striveworks, we empower organizations to leverage artificial intelligence to address pressing national security and business challenges. Serving as the pivotal hub connecting data, models, and impactful business results, we simplify the journey from deployment to continuous optimization.With Striveworks, companies are not merely implementing AI; they are developing robust systems that are trustworthy, versatile, and primed for growth in an unpredictable landscape. We understand that mission-critical operations demand models that not only excel in their deployed environments but also scale with increasing workloads and swiftly adapt as AI technologies evolve. Striveworks addresses these requirements, enhancing reliability and performance while reducing costs, thus fostering informed, data-driven decision-making in fast-paced settings.The OpportunityAs a Staff Machine Learning Engineer at Striveworks, you will be entrusted from day one to play a pivotal role and serve as a technical leader directly engaging with customers on key projects and the company’s strategic direction. Your mission-critical tasks will include designing AI-driven solutions, implementing them—from data preparation and ingestion through analysis to user delivery—and shaping future platform capabilities.You are an ideal candidate if you have a strong technical foundation and a desire to push your limits. Your enthusiasm for utilizing both software engineering and data science to tackle real-world issues is paramount. You should comfortably lead a team while directly executing vital components of the project and articulating the vision and results to customers.Your daily responsibilities will encompass:Collaborating with customers, engineers, and stakeholders to establish clear requirements that address customer challenges and exploit our AI operations platform's capabilities.Converting requirements into a technical approach, comprehensive design, scoping estimate, and execution strategy.Leading project teams to ensure timely delivery of project outcomes aligned with customer business objectives while making significant individual contributions throughout the process.Designing, orchestrating, and automating sophisticated data pipelines and algorithms within contemporary architectures (cloud, event-driven, microservices, etc.).Steering the creation of machine learning models and specialized analytics applied to image, video, text, geospatial, time series, and structured data.Identifying insights, opportunities, challenges, and feedback to enhance team practices and capture reusable functionality.

Striveworks builds AI systems that support mission-critical operations for national security and business clients. The company’s products are designed to perform reliably in unpredictable environments, enabling organizations to make data-driven decisions while controlling costs and improving system dependability. Role overview The Senior DevOps Engineer leads deployment, maintenance, and optimization of Striveworks’ software in client environments. This work covers both on-premises and cloud infrastructure, with a focus on Infrastructure-as-Code (IaC) and automation. The position involves managing the technical side of deployment projects, ensuring Striveworks’ AIOps solutions are integrated, configured, and customized to fit each customer’s needs. This role is open to candidates based in Austin, Texas or working remotely. An active Secret clearance is required. What you will do Automate Infrastructure-as-Code processes to manage virtual machines, deploy containers, and provision services and infrastructure. Deploy custom Kubernetes clusters across AWS, Azure, GCP, on-premises, and hybrid cloud environments. Collaborate with platform developers, fellow DevOps engineers, and customer-facing teams to define requirements and design solutions that address specific customer needs. Manage software deployments to commercial, unclassified, Controlled Unclassified Information (CUI), and classified Department of Defense (DoD) networks. Respond to incidents and perform initial triage for critical system faults. Who thrives in this role Engineers with strong technical skills, a collaborative mindset, and a drive to tackle complex deployments will succeed here. Experience with Infrastructure-as-Code and a focus on improving and optimizing technical systems are essential.