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We are looking for an exceptional Full-Stack Engineer to join our product engineering group. You will collaborate closely with Product and design teams to design and implement solutions that provide significant value to our clients. Our product includes multiple web apps, mobile apps, and integrations with various external systems.
The balance between frontend and backend work in this role is flexible, and depends on your strengths and preferences.
What you'll do:
Be part of the application team, taking end-to-end responsibility for all our customer-facing applications, from the database to the UI.
Work on our web frontend systems, written in React and TypeScript, and our backend services, built with Python, Django and Postgres .
Develop user interfaces for interacting with complex data - 360 videos and images, 2D floor plan maps, 3D models, and large data grids.
Design APIs that serve large amounts of data to the client in a performant way.
Build asynchronous jobs and data pipelines, and optimize queries over large production datasets.
Be part of a vibrant team of bright and experienced engineers working to bring the construction industry into the digital age.

we are looking for a AppSec Architect.
As an AppSec Engineer, you'll be the security partner for our R&D teams - reviewing code and architecture, closing the loop on vulnerabilities, and helping developers ship secure features faster. You'll also own our external vulnerability disclosure channels end-to-end, including leading our Bug Bounty program. This role is a great fit if you have a development background, enjoy digging into code, and want to use AI tools and agents to scale security impact across a large, fast-growing platform.
Responsibilities
Application Security & Secure SDLC
Partner with R&D: work directly with developers to identify, triage, and remediate application-level vulnerabilities.
Review code & architecture: assess security weaknesses and provide clear, actionable, developer-friendly remediation guidance both in the code and architectural levels
Own the scanning pipeline: run and tune SAST, DAST, and SCA tools across the codebase and CI/CD.
Shift security left: drive secure coding practices, threat modeling, and security requirements into the development process.
Review new features: support security reviews for new products, integrations, and third-party dependencies.

Required Senior Backend Engineer
About the Role:
Were looking for people who are passionate about solving problems, dont shy away from leading features and projects, and are sharp and creative enough to find outside-the-box solutions to our wide range of product initiatives
What you'll do:
Design & Scale Core Pipelines: Architect, implement, and deploy our complex, highly-scalable data processing pipeline focused on analyzing massive amounts of data.
Tackle Diverse Data Challenges: Work hands-on with vast construction data-ranging from scheduling and BIM to video processing and 3D model analysis. Architect and integrate various Computer Vision and data processing algorithms into a robust, cloud-based production environment to generate unique insights.
Ensure Performance: Maintain a relentless focus on performance, reliability, and scalability as you process data from real-world construction sites globally.
Tech Stack Focus: Develop primarily using Python in a modern cloud infrastructure (AWS preferred).
Advanced AI Integration: "Skilled in pushing AI tools to the next level- moving from simple chat interfaces to building autonomous scripts, agents, or custom workflows that optimize system performance and reliability.
Ownership from 0 to 1: You will have real influence over our architecture and tooling. We want engineers who care about shaping what we build and how we build it, ensuring performance and observability are baked in from day one

We are seeking a talented and driven Senior Software Verification Engineer to join our innovative team and tackle SW verification challenges in the domains of high-speed networking, virtualization, and security. You will play a key role in validating and testing complex software products that support Ethernet and InfiniBand protocols, delivering advanced networking, storage, and security services for cloud, compute, and AI workloads.

What Youll Be Doing:

Develop and Automate Testing: Design, implement, and maintain automated test scripts and frameworks (primarily in Python) to verify the correct functionality of our software products.

End-to-End Feature Ownership: Deep dive into feature sets, taking responsibility from test planning through to final implementation and full automation.

System & Integration Validation: Validate software functionality and performance through system-level and integration testing, utilizing Linux-based environments and virtualization tools.

Test Environment Management: Set up, maintain, and optimize test environments using Linux, Docker, virtual machines, and other modern tools.

Collaboration & Communication: Work closely with software, DevOps, architecture, and product teams to define test requirements, coordinate releases, and ensure high-quality product delivery.

Continuous Improvement: Drive design verification flows, contribute to methodology improvements, and leverage planning/tracking systems to manage release progress and build release indicators.

Defect Analysis: Analyze test results, file defects, and track issues to closure, ensuring robust and scalable solutions.

We're hiring a Full-Stack Team Lead for our product engineering group. Two things make this a good time to join:
First, we have a lot of new product to build. You'll work on interfaces over 360 walkthroughs, drone imagery, 2D plans, 3D models, and large data grids. Theres plenty of greenfield work on our roadmap alongside an established product.
Second, we're actively reshaping our engineering workflow around AI coding tools. We want this role to help lead that - not just adopt the tools, but shape how the team uses them, what we build with them, and what good looks like a year or two from now.
You'll lead a small full-stack team, own features end-to-end, and stay hands-on. You'll work closely with Product, Design, and other engineering teams. We're open to different backgrounds: a frontend lead growing into backend, a balanced full-stack engineer, or a backend lead with solid frontend skills. What matters is that you can lead, learn, and get things done.
What You'll Do:
Lead and grow a small full-stack team.
Code across the stack: React and TypeScript on the frontend, Python, Django, and Postgres on the backend.
Own features end-to-end - UI, API, data models, background work.
Build interfaces over complex data: 360 walkthroughs, drone imagery, floor plans, 3D BIM models, large data grids.
Help shape how the engineering org uses AI coding agents day-to-day.
Work closely with Product, Design, and other engineering teams.
Hire, onboard, and grow your team.

As a Software Engineering Technical Leader, you will drive the technical vision and execution for complex security policy and access solutions that safeguard enterprise networks globally. You will leverage your deep expertise in systems programming using C, C++, and Java to architect and develop robust, scalable software. By providing technical leadership, you will mentor peers, guide architectural decisions, and foster a culture of innovation and continuous improvement within the team. Your work will directly contribute to Cisco's mission by ensuring our network access solutions are secure, programmable, and highly reliable. You will also champion software programmability and integrate automation and orchestration practices to streamline development and enhance product performance, ultimately empowering our customers to connect with confidence.

Required DevOps Engineer
About the role:
Our DevOps team operates the infrastructure that powers our AI and Computer Vision platform across construction sites in 15+ countries. From data pipelines and ML workloads to backend services - you'll work with a diverse, modern, Kubernetes-based stack and have real influence on how we build, deploy, and operate.
What you'll do:
Own Multi-Cloud Infrastructure: Work alongside the team to design, scale, and operate our high-scale, multi-region production infrastructure across AWS and GCP, powering construction sites globally.
Drive Kubernetes at Scale: Manage and evolve our Kubernetes platform on EKS and leveraging GitOps practices with ArgoCD and Helm to enable safe, fast, and reliable deployments.
Build Robust CI/CD: Design and maintain CI/CD pipelines that empower dozens of engineers to ship confidently - with automation, testing, and progressive delivery built in.
Tackle Diverse Infrastructure Challenges: Work hands-on with a wide variety of workloads - from heavy data processing and Computer Vision pipelines to backend services and ML inference - each with unique scaling, performance, and reliability requirements.
Ensure Reliability & Observability: Build and maintain world-class observability (metrics, logs, tracing, alerting) so that issues are caught early and resolved fast. Performance, reliability, and scalability are at the core of what you do.
Security & Cost: Partner with the team to strengthen our security posture, identity and access management, compliance, and cloud cost optimization across both clouds.
Ownership from 0 to 1: You will have real influence over our architecture and tooling. We want engineers who care about shaping what we build and how we build it, ensuring performance, security, and observability are baked in from day one.

As a Software Solution Architect, you will lead the transformation of AI infrastructure. Our NVIS team focuses on developing the next generation of NVIS Central, an agentic software platform with tools, services, and AI agents that automate, simplify, and speed up the work of our delivery organization. This role offers an outstanding chance to create and build LLM-powered agents that improve execution visibility, cut down manual tasks, and standardize workflows. These efforts allow NVIS to grow quickly and with high quality. Join us to bring up, validate, optimize, and upgrade large-scale AI Factory infrastructure for some of the worlds most advanced accelerated computing environments!

What you'll be doing:

Compose, build, and productionize agentic AI solutions, tools, and applications for the NVIS delivery organization.

Develop LLM-based agents, skills, tool-calling workflows, orchestration logic, backend services, APIs, data pipelines, and automation features as part of NVIS Central.

Translate field, delivery, operations, and product needs into clear technical builds, agent workflows, and working software.

Develop agents that can reason across project data, knowledge bases, operational systems, logs, reports, and delivery workflows.

Build workflows that help NVIS teams identify risks, summarize project status, automate repetitive tasks, improve readiness visibility, and simplify handoffs.

Work with timely engineering, retrieval-augmented generation, context management, agent memory, function calling, evaluations, and guardrails to build reliable AI systems.

Integrate LLMs and agents with internal systems, project data sources, knowledge repositories, reporting tools, and operational workflows.

Collaborate closely with software developers, architects, product managers, DevOps/SRE, and NVIS field teams to successfully implement reliable and scalable solutions.

Contribute to engineering guidelines, including code quality, testing, CI/CD, observability, documentation, security, and production support.