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We are seeking a driven Software Verification Engineer committed to excellence to join our innovative team and tackle challenges in high-speed networking. You will play a key role in simulating InfiniBand networks and validating complex software products that deliver advanced networking services for high-performance computing, machine learning, and AI workloads.

What Youll Be Doing:

Design and develop applications that simulate large-scale, high-speed networks, which are essential for testing software features that cannot be validated on physical hardware.

Build automated tests in a simulated environment for high-end hardware and software to ensure the robustness and reliability of our networking software stack using advanced testing platforms.

Collaborate with Software, Firmware development, and Architecture teams to foster open communication, understand new network technologies, and work together to ensure accurate modeling in your simulation applications.

Improve product quality by enhancing test coverage and developing comprehensive verification strategies.

We are seeking a motivated and hands-on IT Software Engineer with 2-5 years of proven experience in AI development. As part of our IT development team, you will design, build, and deploy AI-powered applications and solutions that drive innovation and improve business productivity. You will work closely with software engineers, business analysts, and business stakeholders to implement AI models, agents, and copilots using modern tools and platforms.
This is a great opportunity for someone passionate about AI, who enjoys building practical solutions and growing their expertise in enterprise-scale environments.
How will you make an impact?
Be an active member of the IT development team, contributing to design, coding, and deployment of AI-driven solutions.
Develop and implement AI agents, copilots, and automation workflows using tools such as Microsoft Copilot Studio, Azure OpenAI, Azure AI Foundry, and Python.
Integrate AI models and components into existing applications, systems, and business processes.
Write clean, maintainable, and efficient code for AI-driven features and applications.
Apply prompt engineering techniques to optimize large language model (LLM) performance.
Collaborate with cross-functional teams (data engineering, product, business) to translate requirements into working AI solutions.
Participate in code reviews, testing, debugging, and deployment of AI applications.
Stay up to date with emerging AI technologies and contribute ideas for their adoption.
Support the monitoring and maintenance of AI models in production, including performance tuning and troubleshooting.

we are looking for Director of AI Enablement to lead the transition of our R&D organization to AI driven development and SDLC. The goal is to continuously help our developers and engineering roles use AI coding tools as well as develop AI based agents to optimized the development experience and velocity, applying the new AI based development methodologies across our our global R&D organization.
Your mandate is to help accelerate delivery by on boarding teams to effectively use AI tools during the development and testing, support the teams in building production level code and how to best leverage the AI coding agents to meet the production level standards.
How will you make an impact?
Upskill engineers - run concise workshops and pair‑programming sessions with developers and teams to help them become more proficient and productive in adopting AI coding tools for their SDLC
Join R&D teams, on demand, to help with hands on AI based coding tasks.
Prototype & demo reference AI agents that illustrate best‑practice patterns teams can reuse
Proactively suggest tools and processes to improve developer experience and productivity
Train the trainer- collaborate with the AI Champions in R&D to build joint knowledge in the organization so that they will be able to distribute it to their teams.
Build backlog for AI Champions on specific tools and sharable deliveries that the entire organization can benefit from, and be responsible to track the adoption of those tools and practices.

we are seeking an experienced Product Owner to lead operational aspects of our SaaS platform. This role focuses on ensuring supportability, reliability, and scalability across the platform, collaborating closely with R&D and Cloud Operations teams. You will drive requirements and priorities for monitoring for all aspects of operations and cost, tenant management, tools for support, and onboarding. This role is critical to meeting our clients service level expectations for a modern SaaS offering to handle all aspects of Financial Crime and Compliance management.
How will you make an impact?
Embed auditing, compliance, and security controls into operational workflows to reduce risk and ensure regulatory adherence.
Deliver onboarding tools and administrative consoles that accelerate tenant setup and improve operational efficiency for internal support teams.
Implement deployment automation and configuration migration processes that shorten release cycles and minimize errors.
Optimize resource utilization and cost efficiency through measurable KPIs and proactive capacity planning.
Achieve high availability and disaster recovery objectives by validating performance testing strategies in collaboration with R&D and Cloud Ops.
Establish robust monitoring, logging, and troubleshooting capabilities that enhance platform reliability and reduce mean time to resolution (MTTR).

we are looking for a highly motivated Java Software Engineer to join our Cloud Analytics team! You will be taking part in developing a complex AWS-based architecture for large Organizations. The applications we develop are part of CXone's offering, our cloud solutions suite which is deployed in multiple regions across the world and serves hundreds of customers.
How will you make an impact?
Develop the optimal microservice architecture using AWS technology.
Design and implement microservices in a Java Spring Boot environment.
Enhance product features through active participation in development.
Analyze feature requirements and create comprehensive design documents.
Review design documents with relevant stakeholders to ensure alignment.
Collaborate with the group to refine and iterate on feature designs.
Implement agile development methodologies to deliver high-quality features efficiently.

Were hiring a ML Engineer to accelerate AI-driven innovation across Stamplis B2B SaaS platform.
Youll be at the forefront of building intelligent systems that power core product experiences and automate internal operations, driving efficiency, speed, and scale across the organization. This is a high-impact, hands-on role in a fast-growing, AI-first company where machine learning is a foundational pillar, not a bolt-on feature. You'll partner with product, engineering, and operations teams to design and implement powerful ML and LLM-based solutions that make a measurable difference.
What You Will Do:
Build Intelligent Systems: Design and develop ML/LLM-powered solutions that solve real-world challenges across Stamplis product and internal workflows.
Own Full Lifecycles: Take projects from concept all the way to production, including model training, evaluation, integration, and monitoring.
Leverage State-of-the-Art Tools: Work with leading frameworks like LangChain, Hugging Face, TensorFlow, and PyTorch to deliver cutting-edge functionality.
Collaborate Cross-Functionally: Partner with product managers, engineers, and stakeholders to embed AI capabilities into user-facing features and backend services.
Ship at Scale: Build and maintain scalable APIs and services, integrating best practices in CI/CD, observability, and cloud infrastructure.
Report with Impact: Share progress, challenges, and results clearly with technical and executive stakeholders.

Were hiring a Machine Learning Engineering Manager to guide and grow a high-impact ML team driving AI-powered innovation across B2B SaaS platform. Youll lead the design and delivery of AI solutions while mentoring engineers and setting the technical direction for AI-first development at scale.
This is a leadership role with a balance of hands-on engineering and team management, perfect for someone who thrives on solving technical challenges, inspiring a team, and shaping the future of AI in fintech automation.
What You Will Do:
Lead & Mentor: Manage, mentor, and grow a team of ML engineers, fostering technical excellence and career development.
Set Technical Direction: Define the ML strategy, ensuring best practices in architecture, frameworks, and operationalization.
Build and deploy AI-based solutions: Oversee the development and deployment of GenAI/LLM-powered solutions that address real-world challenges across products.
Scale & Operationalize: Establish scalable ML infrastructure, CI/CD, observability, and data pipelines for high-availability production systems.
Collaborate Cross-Functionally: Partner with product managers, engineers, and business stakeholders, clearly communicate progress, challenges, and outcomes.

we are looking for a Senior DevOps Engineer with a strong software development background to build and evolve our internal DevOps platform. You will sit at the intersection of Platform Engineering, SRE, and MLOps - owning the infrastructure and tooling that powers production and enables our developers and data teams to move fast, safely, and with confidence.
If you believe DevOps should be a self-service platform, love automation, and naturally think in systems and end-to-end flows, keep reading.
What You Will Do:
Build a DevOps Platform (Platform-as-a-Product): Create internal services and golden paths that scale across teams (self-service over ad-hoc, repeatable over personal support).
Own CI/CD End-to-End: Design, build, and maintain Jenkins and GitHub Actions pipelines that move code from commit to production with high reliability, visibility, and safety.
Operate and Evolve Our AWS Stack: Hands-on ownership of AWS, including services such as ECS, EKS, Lambda, WorkSpaces, DynamoDB, Redshift, S3, DocumentDB (and the surrounding networking, IAM, observability, and deployment patterns).
Enable MLOps and Data Workflows: Support and automate ML and data pipelines using tools like Airflow, MLflow, and Jupyter Notebooks (plus integrations with compute, storage, and security controls).
Automation First: Eliminate manual work through Infrastructure-as-Code, scripting, and internal tooling. Build reusable components instead of one-off solutions.
Cost Optimization (FinOps): Drive cost visibility and optimization (tagging, budgets/alerts, rightsizing, workload efficiency, and practical trade-offs between cost and reliability).
Security Ownership: Bake security into pipelines and infrastructure (least privilege, secrets management, supply chain controls, vulnerability scanning, hardening, and incident readiness).
Leverage AI to Move Faster: Use AI tools such as Cursor, GitHub Copilot, and Claude Code to accelerate delivery (without compromising quality, security, or reliability).
Cross-Team Collaboration: Partner with Engineering, Data, and AI teams to unblock delivery, improve developer experience, and keep production stable.

We are seeking a Networking Software Engineer to join our RDMA Transport Software team, driving the development of next-generation RDMA solutions for AI, cloud, HPC, and storage. You will research and develop innovative transport algorithms that push the limits of performance and scalability. You will work in a fast-paced, collaborative environment alongside talented engineers from around the world, supporting the data needs of the worlds largest enterprises

What you'll be doing:
Take part in research, design, and development of advanced RDMA transport mechanisms and algorithms, enhancing performance, reliability, and scalability.
Collaborate closely with hardware engineers, software developers, and system architects to align on project objectives and requirements.
Keep up with industry trends and emerging technologies, integrating new ideas and innovations into the development process.

We are spearheading the AI revolution and the creation of state-of-the-art accelerated compute platforms for global utilization. Our Network Modeling and Performance Insights group is seeking a skilled and driven Software Developer for the design and development of our infrastructure for a complex networking simulation as a service. In this role, you will be responsible for developing and optimizing our network simulation software, and to enhance its performance and quality. You will work on integrating this infrastructure with cloud computation services for various use cases and ensure the simulation is available as a service for internal and external customers. If you're passionate about tackling intricate challenges and contributing to comprehensive software solutions, we want to hear from you.

What you'll be doing:

Enhance simulation runtime and memory consumption through innovative optimization techniques.

Improve the quality of the simulation as a software product, ensuring robustness and reliability.

Expends the simulation versatility to accommodate new various and complex user use cases and bleeding-edge requirements.

Design and expose the simulation as a service to facilitate easier access for different stakeholders.

Integrate a new simulation management system, making simulated experiments data accessible to all users.

Design and develop a CI/CD infrastructure for our complex networking simulation tool, ensuring efficient deployment and smooth integration processes.

ISI is looking for an experienced Embedded Software Engineer (Mid–Senior) to join our software team. Join a team developing embedded Linux platforms for next-generation satellite systems, focused on hardware-facing software for cameras, sensors, and FPGA-based peripherals. Work at the hardware–software boundary on systems supporting advanced imaging and space missions.

Responsibilities:

* Develop device services for cameras and sensors (MIPI, LVDS, PCIe)
* Implement software interfaces to FPGA logic
* Camera bring-up, tuning, and reliability on Linux platforms
* Work with Yocto BSPs, Docker, and embedded targets
* Debug across hardware, kernel, and userspace
* Build automated tests, OTA mechanisms, and technical documentation

The static analysis team is responsible for the heart of the ASPM product: our capability to automatically reverse engineer arbitrary backend applications and provide deep-code insights about what they do.
As a Senior Engineer on the static analysis team, you will be a key contributor, playing a vital role in designing and building a powerful automated reverse-engineering engine. You will be tackling complex, unsolved problems in code analysis by translating cutting-edge research and critical business needs into robust, production-ready engineering solutions.
If you enjoy solving extremely difficult problems while drawing solutions from multiple domains and thrive in a hands-on technical role, then this position is for you.
What You'll Do:
Drive the hands-on design and implementation of core components for our powerful automated reverse-engineering engine.
Conduct research and development on cutting-edge algorithms for deep-code and data flow analysis.
Play a key role in developing, designing, and optimizing the Falcon ASPM platform.
Collaborate with fellow team members to solve the most complex and novel technical challenges.
Contribute across the entire software development lifecycle, from initial research and system design to production deployment and monitoring.
Tech Stack:
Go
Kubernetes
AWS
Kafka
Linux.

we are seeking a Software Engineer to join our Cloud Security Inventory team within the Falcon Cloud Security organization. This role focuses on building and maintaining scalable inventory systems that process and manage cloud resources across multiple cloud providers. You'll be part of a team handling high-scale data processing, serving both customer-facing and internal applications, while expanding our Cloud Security Posture Management (CSPM) capabilities.
What You'll Do:
Design and develop inventory systems processing muti millions of cloud resources daily across multiple cloud providers
Research and deep dive into cloud provider services to expand resource coverage and become a subject matter expert
Build and optimize high-throughput data collection pipelines that can handle rapid scale increases
Develop creative solutions for resource relationship mapping, efficient data storage, and real-time inventory updates at massive scale
Collaborate with cross-functional teams to understand their unique inventory needs and create scalable solutions
Participate in architectural discussions to solve complex technical challenges
Research and propose new approaches to handle growing data volumes and customer requirements
Help maintain system reliability while constantly scaling up operations
Technical Environment:
Go
Databases: PostgreSQL, Elasticsearch/Opensearch, Cassandra
Message Queuing: Kafka
Cloud Platforms: AWS, GCP, Azure, OCI
Containerization: Docker, Kubernetes
Monitoring: Grafana, Prometheus.

This is a Software Development Engineer (SDE) role in the engineering team that delivers the sensor (lightweight agent) on Linux. This role will be part of the team designing and implementing new features in the sensor to secure cloud workloads. The work leverages eBPF and other technologies. These features will extend the power of the Falcon platform to provide seamless visibility, detection, and prevention for container processes running in orchestration environments like Kubernetes.
SDEs in the team own design and development of core features of the product. Features will cross-cut most core OS subsystems such as file system, memory, process, and networking. The team operates under the Agile development principles and ships frequently.
About the Product:
our company Falcon is a two-component security product. One component is a sensor, which is a lightweight agent installed on client machines that observes system activity and recognizes malicious behavior, then provides on-box prevention capability and remote telemetry to the Falcon cloud. The cloud component aggregates sensor telemetry for each customers network, can correlate malicious behavior across multiple machines, and presents our customers operations teams with a prioritized summary of the threats detected in their environments.
What You'll Do:
Design and develop Linux software for deployment on server
Own features from design to delivery
Collaborate with multi-functional team in various physical locations
Troubleshoot issues with the product as reported from customers responsively
Other projects as assigned.

Adaptive Shield, a company, is an industry leader in the emerging SaaS Security Posture Management (SSPM) market. Our culture is defined by great people with deep knowledge, integrity and values. Join our team and be a part of revolutionizing the way we help enterprises secure their SaaS ecosystem!
The designated candidate should have vast experience in SaaS security, strong technical cybersecurity background, and outstanding communication and execution skills.
What You'll Do:
Perform advanced security research in SaaS applications to identify security risks, and build product capabilities to proactively address them
Collaborate with cross-functional teams, including R&D, Customer Success, and Product Management, to integrate security practices into the product.
Stay abreast of the latest SaaS security threats, research, and technologies, integrating this knowledge into our security strategy.
Strong knowledge of cloud security best practices and past professional experience implementing.
Prepare and present detailed reports on findings and recommendations to relevant stakeholders.