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The CTO Office is our core discovery engine, dedicated to navigating the rapid evolution in AI agent security and building the lighthouse. We are a high-agency team of ICs with integrated Engineering, Research, and Product mindsets. Our mission: incubate new ideas, define the approach to emerging attack classes, and build working POCs that prove technical reality. Guided by the CTO, Product, and GTM, we validate hard, open problems and actively support the Product organization by opening new development paths and seamlessly handing over advanced capabilities.

What Youll Do
Responsibilities:
Take a hard, open problem in AI agent security from this might be possible to a working POC that proves the company`s approach, grounded in technical reality.
Partner closely with Product, R&D, our Labs, and GTM. Dont just write about emerging problems. Think them through, design the solution, and POC it so customers see something real.
Own the end-to-end loop: scope the problem, build the prototype, evaluate it, document the approach, ship it.
Make the calls on architecture, tooling, and tradeoffs.
When a POC succeeds, own the handover to Engineering and Product. When a new direction needs its own team, lead the incubation.
Stay ahead of the rapid evolution in AI and proactively identify emerging trends.

We are looking for a Senior Full-Stack Engineer to build reliable, high-impact product experiences from browser to backend. You will own meaningful product areas, turn ambiguous customer problems into pragmatic technical solutions, and help set a high bar for quality, speed, and engineering judgment.

What youll do

Design, build, test, deploy, and operate end-to-end product capabilities.
Build polished frontend experiences with React and TypeScript.
Develop scalable backend services and APIs with Node.js and TypeScript.
Partner closely with Product and Design to shape solutions before implementation.
Make sound architecture decisions across application boundaries, APIs, data models, security, performance, and observability.
Use AI-assisted engineering tools thoughtfully to improve development speed and quality, while rigorously validating their output.
Build AI-enabled or agentic product capabilities where they create clear customer value.
Raise the engineering bar through code reviews, pairing, documentation, and mentorship.

We are looking for a Senior Software Engineer to solve complex technical problems and build dependable backend and platform systems that enable our product to scale. You will own work from design through production, balance near-term delivery with long-term maintainability, and help teammates grow.

What youll do

Design, implement, and operate scalable backend services, APIs, and platform capabilities.
Build robust systems and services in Go and Python.
Own technical design, delivery, reliability, security, and operational quality for your domains.
Work with Product, Design, Data, and other engineers to deliver customer value quickly and safely.
Improve engineering foundations, including test coverage, observability, CI/CD, performance, and developer experience.
Apply AI-assisted engineering tools responsibly while maintaining strong technical judgment.
Evaluate and build production AI capabilities where they are relevant to the product.
Review code, mentor engineers, and contribute to architecture and technical standards.

Were looking for a Platform Engineer to join our Engineering Platform team and help build, automate, and maintain the infrastructure that supports our products and engineering teams. This is an excellent opportunity to work with modern cloud technologies, learn from experienced engineers, and contribute to the tools and platforms used across the company.
In this role, youll help architect our cloud platform, unify CI/CD and Infrastructure as Code, and accelerate developer autonomy across the company. Youll work closely with the Engineering Platform team to build the backbone of our future engineering ecosystem.
Responsibilities:
Cloud & Infrastructure: Help maintain and improve our AWS environment while supporting scalable, reliable cloud infrastructure.
Infrastructure as Code: Develop and maintain Terraform modules, reusable infrastructure, and automation.
CI/CD & Developer Experience: Build and maintain CI/CD pipelines, improve automation, and support developer productivity.
Monitoring & Reliability: Help monitor production systems, improve observability, and contribute to operational excellence.
Collaboration: Work closely with software engineers, participate in code reviews, and continuously learn new technologies.

We are seeking a Software Engineer to join Dashs core development team. You will design, build, and ship the platform that powers discovery, session-aware detection, policy governance, and runtime enforcement across workstations, SaaS, and cloud. You will work on scalable, low-latency services that process agent activity in real time and enforce security policies without slowing builders down. This role requires strong engineering fundamentals, a focus on system reliability, and an interest in the unique challenges of agentic security.
Responsibilities:
Design and Implement Services: Design, develop, and deploy scalable backend services and APIs for the Dash Security platform (customer and admin APIs, detection ingestion, aggregation, and control-plane services).
Build Core Features: Implement features for agent/MCP/skill discovery, session and intent-aware detection, policies, and runtime enforcement across coding agents and enterprise AI platforms.
Optimize Runtime Protection: Maintain and optimize high-throughput detection and enforcement pipelines that operate at enterprise scale (ingestion, detectors, verdicts, and policy dispatch).
Integrate with Platforms: Build and deepen integrations with coding agents, SaaS AI platforms, identity providers, EDR, SIEM, and outbound action systems to ingest telemetry and enforce controls.
Ensure Reliability: Focus on code quality, performance, monitoring, and stability through robust testing, CI/CD, and operational excellence.
Collaborate with Research: Partner with the AI Security Research team to turn findings, signatures, and heuristics into production-ready detectors and enforcement logic.
Contribute to Architecture: Participate in technical design and architectural reviews across our codebases, agents, and event-driven backend services.
Stay Current: Continuously learn and apply new technologies, development methodologies, and security best practices.

we are looking for a Senior Backend Infrastructure Engineer to join our Backend Infrastructure team. This role is focused on designing, building, and improving the backend infrastructure that powers delivery platform. The engineer will work on scalable backend services, shared infrastructure components, internal frameworks, system reliability, performance optimization, and cross-team technical enablement. The ideal candidate is a strong backend engineer with solid experience in C# and .NET Core, distributed systems, databases, cloud environments, and production-grade backend services. The candidate should also be comfortable adopting modern AI-assisted development tools such as Cursor, Claude, and similar coding assistants to improve development quality, productivity, code review, and technical research. The engineer will work closely with backend product teams, DevOps, data engineering, mobile, and frontend teams to deliver reliable, secure, and high-performing systems.

What Will You Do
Design, develop, and maintain backend services using C# and .NET Core.
Build shared backend infrastructure, internal libraries, SDKs, reusable components, and service templates used by multiple engineering teams.
Support backend teams with architecture reviews, technical guidance, best practices, and performance improvements.
Help improve backend development velocity, code consistency, and production readiness across teams.
Work with relational and NoSQL databases such as SQL Server, PostgreSQL, MySQL, and MongoDB.
Design and optimize database queries, indexes, schemas, and data access patterns.
Build and maintain search and caching solutions using technologies such as Elasticsearch and Redis.

we are looking for a Data Software Engineer.
Full-stack engineer with a soft spot for geometry: build the data and product systems that power automation across frontend and backend.

We're looking for a Head of AI to own everything AI and ML at Sensos - from the agentic systems that power autonomous supply chain execution to the data science and modeling that turn our real-world data into an unfair advantage.
This is a founding leadership role. You'll be 100% hands-on from day one - researching, prototyping, and shipping models and AI capabilities directly into the platform - and over time you'll build and lead the data organization (data science, ML, and analytics). Put simply: you're the person who brings the "smart" into the platform.
We capture billions of real-world signals from IoT smart labels moving through global supply chains. That data is the raw material; your job is to turn it into prediction, detection, and trustworthy autonomous decisions.
What You'll Do:
Work with a wide variety of datasets - IoT sensor, GIS, time-series, tabular, and textual
Solve a range of business problems: time-series prediction, anomaly detection, scoring, and agentic flows
Design real-time inference pipelines
Develop and deploy ML models and LLM-based agents that serve tens of enterprise clients
Conduct exploratory data analysis, feature development, and correlation analysis
Take work all the way from prototype to production - you own it end-to-end
Partner closely with Product and Engineering to embed intelligence natively into the platform and shape the roadmap
Stand up the infrastructure: evaluation pipelines, model promotion, MLOps, and artifact management
Build, hire, and lead the data function (DS, ML, and analytics) as we scale
Lead patent registrations, technical presentations, and stakeholder discussions

Join our Storage Products group to develop advanced automation tools, testing infrastructure and tests for storage subsystems. You'll work with a collaborative team to build scalable lab automation, debug tools, and validation systems that ensure the excellence users expect from Apple devices. This role offers the opportunity to impact the entire design-to-implementation process while leveraging cutting-edge AI tools.
Develop version control software packages for large-scale validation labs Build lab automation infrastructure and debug tools for storage validation Design and implement test flows for storage modules and performance validation Collaborate across multiple teams to deliver innovative storage solutions Utilize advanced AI tools Work on Unix-based environment Apply deep understanding of storage behavior to real-world testing scenarios

At Infinidat, a Lenovo company, we help enterprises and service providers empower their data-driven competitive advantage at scale. We're looking for a top-notch Backend Engineer to join Infinidat's Big Data / AI Ops group. In this role, you'll design and build the services that power our data platform — developing scalable microservices, optimizing data pipelines, and working closely with large-scale storage and operational datasets.

Responsibilities:

* Design, develop, and maintain backend services and microservices in Python
* Build and optimize database queries and schemas, primarily on PostgreSQL and ClickHouse
* Develop and operate data-intensive services supporting big data and AIOps workloads
* Collaborate with cross-functional teams on architecture, performance, and reliability
* Write clean, well-tested, maintainable code and participate in code reviews