June 10, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
- Bachelors degree, Civil Engineering or Architecture degree highly preferred, from a college or university accredited by the Accreditation Board for Engineering and Technology (ABET) and 8+ years of experience in design and construction of commercial or institutional facilities or a Masters degree and 6+ years of relevant experience.
p>• Build agentic AI workflows using Azure AI Foundry Agent Service and Microsoft Agent Framework, including multi-agent coordination, tool integrations, and agent lifecycle management. We are seeking an Applied AI II Engineer to join the team and help build the next generation of agentic AI services that resolve customer issues faster, reduce support volume, and power AI-first support at Azure scale.
Additionally, candidates must be future-ready: either already possessing AI-driven engineering skills (such as AI-assisted code profiling or predictive anomaly detection) or demonstrating a strong willingness and agility to learn on-the-run through our upcoming enterprise AI training programs. Advanced expertise in safeguarding high-volume architectures-specifically IBM Sterling OMS-is highly desirable to proactively prevent production incidents, maximize continuous availability, and guarantee zero-downtime retail operations.
As the Product Engineer II – Utilities, you will collaborate with customers, industry teams, and other product development team members to design, develop, and support the right geospatial solutions for electric, gas, water, sewer, stormwater and telecommunications agencies. Design and author test cases for functionality, performance, scalability, and durability; execute both manual and automated tests, analyze test results, and report results.
p>By combining trusted insight with expert guidance, Later removes guesswork from influencer marketing, enabling brands to choose the right creators, execute fully managed campaigns, and drive meaningful growth across awareness, engagement, and revenue. Built on a native, AI-powered platform and more than a decade of proprietary data—including billions of social interactions, impressions, and $2.4B+ in verified influencer-driven purchases—Later helps teams understand what will work before they launch.
p>By combining trusted insight with expert guidance, Later removes guesswork from influencer marketing, enabling brands to choose the right creators, execute fully managed campaigns, and drive meaningful growth across awareness, engagement, and revenue. Built on a native, AI-powered platform and more than a decade of proprietary data—including billions of social interactions, impressions, and $2.4B+ in verified influencer-driven purchases—Later helps teams understand what will work before they launch.
You will collaborate with architects, engineers, and cross-functional stakeholders across Samsara to brainstorm, design, rapidly prototype, and productionalize AI-driven features and capabilities that integrate deeply into real business workflows. Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations.
There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. Your role will be to help the team define the right investments to make, build the features with high quality, maintainable solutions, and mentor the teams of engineers to accelerate their career paths, and deliver on the features we have promised customers on time.
p>• You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes. • You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
Overview: We are seeking a highly skilled Senior DevOps Platform Engineer to design, build, and support scalable, secure, and reliable cloud platforms across Azure (primary) and AWS environments. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs.
Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers.
Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers.
li>Experience working with ArcGIS applications and technologies (such as ArcGIS Hub, ArcGIS Map Viewer, ArcGIS REST APIs, ArcGIS API for Python, ArcGIS Maps SDKs). You will act as a service owner and trusted decision‑maker, shaping priorities, balancing tradeoffs, and ensuring our web services remain reliable, scalable, and valuable to customers over time.
As a Software Engineer focused on building systems for Detection’s Model Platform, you will be responsible for making feature development at Abnormal a fast, responsive, stable, and confident experience for our ML and Data Science team. The Detection Division is focused on building the world’s most advanced technology for identifying and stopping email and cloud-based attacks that were previously undetectable and help make the world a safer place.
p>By combining trusted insight with expert guidance, Later removes guesswork from influencer marketing, enabling brands to choose the right creators, execute fully managed campaigns, and drive meaningful growth across awareness, engagement, and revenue. Built on a native, AI-powered platform and more than a decade of proprietary data—including billions of social interactions, impressions, and $2.4B+ in verified influencer-driven purchases—Later helps teams understand what will work before they launch.
p>• Collaborate with Technical Program Managers, Product Managers, and Go-To-Market teams in order to implement, verify, and iterate on the issues & requests coming from our customers. The team’s goal is to automate security analysts workflows by providing them with reliable, intuitive, and delightful agentic products that give them back time in their day.
p>• You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes. • You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
The engineer will be responsible for building and maintaining comprehensive products, ensuring seamless integration from the database layer to the user interface, with a primary focus on back-end development and some front-end responsibilities (80% back end, 20% front end). • Design and execute software projects that are crucial to Abnormal’s success, in collaboration with a team of engineers, through conception, design, implementation, launch, and operation.
p>• Distributed systems expert – you bring deep experience designing and operating large-scale distributed systems, and have partnered with security teams to build secure-by-default solutions. Were looking for a distributed systems expert who has worked closely with security teams — someone who can drive Product Security at scale and translate that into clear, executable technical roadmaps.
This role transforms marketing from a manual, channel-driven function into a scalable, AI-powered growth engine by automating execution, improving speed to market, and increasing efficiency across campaigns. The Manager, AI Marketing Orchestration will design, build, and optimize agentic marketing workflows that drive scalable growth across email, paid media, data and content.
p tabindex="0">The ideal candidate will have strong hands-on experience supporting software platforms on any combination of the following platforms - Kubernetes, Cloud (AWS, Azure, and/or Google), API based development, REST framework, data engineering, and large-scale API Gateway environments etc. The candidate will have great communication skills, a team-based mentality and a strong passion for using AI to increase productivity as well as help generate new ideas for product & technical improvements.