Senior Software Engineer at Striveworks | Austin, Texas or Remote

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…

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, scalable, and flexible, even when circumstances change. Striveworks products support mission-critical operations, helping organizations deploy AI models where they are needed, scale efficiently, and adapt as technology evolves. By improving reliability and performance while managing costs, Striveworks enables confident, data-driven decisions. Role Overview: Recruiting Coordinator The Recruiting Coordinator at Striveworks manages complex interview processes and helps create a positive experience for candidates. Working closely with recruiting and people operations teams, this role supports the company’s growth and hiring goals. This position suits someone who enjoys a busy environment and values taking ownership of their work. Providing a thoughtful, personalized experience to both candidates and internal stakeholders is central to the role, even as the team grows. What You Will Do Coordinate high-volume interview schedules, from initial phone screens to on-site interviews, across multiple time zones. Communicate with candidates by email and phone, providing clear updates and ensuring a smooth interview process. Maintain accurate records in the Applicant Tracking System (ATS), updating candidate stages, scorecards, and feedback to support data-driven hiring decisions. Location and Work Environment This is a hybrid role based at Striveworks’ northwest Austin, Texas office.

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.

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.

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 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!

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.

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

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.

2K, a subsidiary of Take-Two Interactive Software, Inc. (NASDAQ: TTWO), publishes video games from its headquarters in Novato, California. Since 2005, 2K has built a catalog of titles developed by studios around the world, covering sports, action, role-playing, and strategy games. The company’s portfolio includes major franchises such as NBA® 2K, BioShock®, Borderlands®, Mafia, Sid Meier’s Civilization®, XCOM®, WWE®, and PGA TOUR® 2K. Growth at 2K often comes through new partnerships and acquisitions with creative studios. 2K’s team brings together engineers, marketers, artists, writers, and data scientists, all working to create high-quality gaming experiences. The company values an inclusive workplace and encourages candidates from all backgrounds to apply, even if not every listed requirement is met.

About KingsIsle EntertainmentFounded in 2005, KingsIsle Entertainment has established itself as a leading developer in the MMO gaming industry, boasting over 50 million registered users across our dynamic and engaging games. Our flagship title, Wizard101, is celebrating its 17th anniversary, while Pirate101 has captivated audiences for 13 years. We believe that our success stems from the exceptional talent and dedication of our team. At KingsIsle, we foster a vibrant workplace culture that balances hard work with fun, encouraging team bonding through gaming sessions and movie outings. Our commitment to professional development and a supportive environment contributes to the longevity and happiness of our employees.The KingsIsle Web Team is a collaborative group of builders, testers, and managers dedicated to delivering high-quality products. We value effective teamwork and continuous learning, providing opportunities for team members to pursue educational courses and personal projects. Regular retrospectives after each Sprint enable us to celebrate our successes and learn from our challenges. Senior team members mentor juniors, facilitating significant growth and skill advancement. We develop enterprise web applications that serve millions, with a focus on enhancing our testing automation, monitoring, and agile delivery processes.Join Us as a DevOps EngineerAs a DevOps Engineer, you will play a crucial role in our development lifecycle. Your responsibilities will include:Automating Processes: Streamline repetitive tasks through reliable automation, enhancing development speed and efficiency.Designing Resilient Systems: Build systems that are self-healing, scalable, and adaptable to challenges.End-to-End Ownership: Manage infrastructure from architecture to deployment, ensuring teams can rely on your solutions.Infrastructure as Code: Utilize tools like Terraform and Ansible to create reproducible, auditable environments.Monitoring and Insights: Create robust monitoring, logging, and alerting systems to detect issues early and enable quick decision-making.Containerization: Develop and implement efficient and secure containerized applications.Security and Compliance: Embed security practices throughout the development process to ensure compliance.Cross-Functional Collaboration: Work closely with developers, QA, operations, and product teams to balance innovation with stability.

About Striveworks Striveworks helps organizations use artificial intelligence to solve real-world problems, especially in national security. Founded by data scientists and engineers, the company focuses on making AI deployment and ongoing optimization simpler and more reliable. Striveworks partners with clients to build systems that adapt, scale, and perform well in unpredictable situations, supporting critical operations and informed decision-making. Role Overview: Senior Machine Learning Engineer The Senior Machine Learning Engineer will take on a key position, contributing to both customer projects and Striveworks’ core product suite. This role involves working with the Chariot AIOps platform to create solutions that bridge data, models, and operational needs. Collaboration is central: expect to work closely with data scientists, software engineers, and DevOps professionals to turn machine learning models into real operational tools. This position is open to candidates in Austin, Texas or those seeking a remote arrangement. A hybrid option is available for those near the Austin office. Main Responsibilities Work with customers, engineers, and stakeholders to define requirements that align with client needs and leverage the AI operations platform. Develop machine learning models and analytics for various types of data, including images, video, text, geospatial, time series, and structured datasets. Automate and manage complex data engineering and analytics workflows. Contribute to the design and implementation of core product features. Participate in mission-critical fieldwork as opportunities arise. Who Thrives Here This role suits engineers with a strong technical background who enjoy building customer-focused solutions and collaborating across disciplines. Effective communication, a focus on delivering repeatable value, and a drive to solve practical challenges are essential. Clearance Requirement An active Secret clearance is required for this position.

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

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.

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 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.

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.

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.

Join Areté Technologies Inc as a DevOps Engineer and play a crucial role in enhancing our software development and IT operations. In this dynamic position, you will work collaboratively with cross-functional teams to automate processes and improve the deployment pipeline, ensuring high availability and reliability of our applications.

About Us Graphcore stands at the forefront of innovation in Artificial Intelligence computing. We are dedicated to developing cutting-edge hardware, software, and system infrastructure to enable the next generation of AI advancements, facilitating the broad adoption of AI solutions across various industries. As a member of the prestigious SoftBank Group, Graphcore is part of a distinguished network of companies driving transformative technologies. Our shared ambition is to foster Artificial Super Intelligence and ensure its advantages are accessible to all. Our team is a vibrant mix of talents, including AI research experts, silicon designers, software developers, and systems architects. At Graphcore, we cultivate a culture of continuous learning and relentless innovation. Job Summary We are on the lookout for a Senior Mechanical Engineer to join our Data Center Engineering team. In this pivotal role, you will lead engineering coordination with external data center developers and partners, ensuring that Graphcore’s infrastructure solutions adhere to the utmost standards of reliability, efficiency, and scalability. You will collaborate with a diverse team of technical leaders from various engineering disciplines to deliver top-tier mechanical systems for data centers that support high-performance computing environments. The ideal candidate will possess extensive mechanical engineering knowledge and experience in mission-critical infrastructure settings. This position is based in Austin, Texas, with an expected travel commitment of approximately 10–20% for site visits, inspections, and factory acceptance testing. The Team The Data Center Engineering team focuses on designing, developing, and deploying infrastructure that supports Graphcore’s advanced AI computing platforms. Collaboration is key as we work alongside internal engineering teams, external consultants, and data center developers to create reliable and scalable environments for demanding computing workloads. Our team members span multiple disciplines—including mechanical, electrical, facilities, and IT infrastructure—ensuring that Graphcore’s data center deployments meet rigorous performance, efficiency, and operational reliability standards. Responsibilities and Duties Develop and review mechanical design standards and specifications, ensuring alignment with industry best practices and Graphcore’s reliability and operational goals. Perform detailed engineering analysis of mechanical system designs, ensuring efficient and reliable operation within data centers.