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The AI, Data & Research unit is at the forefront of our companys innovation, building data-driven, ML-powered, and intelligent security solutions. We are looking for a passionate MLOps Engineer to join our team of seasoned ML engineers.
You will play a critical role in building a multi-tenant PaaS for ML pipelines and inference, ensuring scalability, reliability, and security. You will take ownership of critical platform components, drive best practices, and mentor other engineers.
Design, build, and maintain infrastructure-as-code using Python and AWS services for deployment.
Architect, build, and manage Docker-based services.
Lead the design and implementation of solutions using AWS services such as SageMaker, Lambda, Step Functions, SageMaker Pipelines, Batch Transform, and Real-Time Endpoints.
Enhance and maintain CI/CD pipelines (Jenkins and shared libraries).
Ensure multi-tenant security and tenant isolation across the platform.
Define and implement observability and monitoring practices with Datadog and other tools.
Collaborate closely with Data Scientists, Data engineers, MLEs, Product Managers, and other engineering teams to integrate ML workflows.
Mentor junior engineers and promote engineering best practices.

We're looking for a proactive and analytical Cloud FinOps Engineer to join our team and take ownership of our cloud financial operations. In this role, you'll be the crucial link between our engineering, product, and finance teams, ensuring we build and run our cloud services efficiently and profitably. You won't just be reporting on costs; you'll be a strategic partner who drives financial accountability and intelligence across the organization. You will be working closely with the Chief Architect, VP R&D and the Platform teams.

What You'll Do
You'll dive deep into our cloud and SaaS spending data to uncover trends, identify optimization opportunities (like right-sizing, reserved instances, or savings plans), and work directly with engineering teams to implement your recommendations.
You will collaborate closely with Product Managers to analyze the underlying costs of customer usage. Your insights will directly shape our pricing models and help evaluate the commercial viability of new features and projects before they're built.
You'll establish and maintain our cloud cost governance framework. This includes perfecting our resource tagging strategy, managing cost allocation, and building automated guardrails to prevent budget overruns and wasteful spending.
You will build and manage insightful dashboards, reports, and alerts that provide clear visibility into our cloud spend for all stakeholders. When you spot an anomaly or a spike in costs, you'll be the one to investigate and escalate it.
You will work with our cloud and SaaS providers to understand their pricing models and discount opportunities. Where appropriate, you'll participate in negotiating contracts to ensure we're always getting the best value.
Keep a pulse on the latest industry trends, best practices, and emerging technologies in the FinOps space to ensure we remain efficient and competitive.

We are looking for an experienced AI Backend Engineer to join our fast-growing company during an exciting stage of innovation. In this role, you'll design and develop Agent and LLM-based features, engineer and optimize context and high-quality prompts, implement agentic architectures in production and evaluate and monitor applications effectively. If you're passionate about staying at the forefront of Large Language Model AI applications and collaborating with a team of experts, wed love to hear from you!

What Will You Do?
Take part in all development aspects, from design to production, of Agent and LLM-based features and applications.
Take part in all the development and planning aspects of a backend application, understanding scale, performance, observability.
Craft and optimize high-quality prompts to enhance application functionality and output quality.
Develop datasets and benchmarks to evaluate and monitor LLM-based applications effectively.
Stay up to date with state-of-the-art research in the field of Large Language Models and apply relevant advancements to improve our applications.
Collaborate closely with other team members and contribute to a culture of innovation and continuous improvement.
Mentor new team members and share your expertise to strengthen the team's collective knowledge.

we are looking for a Staff software engineer to join our elite team which is responsible for building one of our companys new SaaS products.
In this role you will be using AWS serverless architecture, GO, AWS CDK & Python to design, develop, test, secure & deploy services from planning to production. You will practice all software development life cycle in an agile oriented environment while exploring new technologies and tools to keep us using cutting edge solutions.
The team works in full collaboration with security architects, product managers and other development teams.
We are looking forward for energetic and versatile person to join our family and help us achieving our goals.

Were looking for a brilliant Deep Learning & Computer Vision engineer to join our Algorithms group.
What will you do?
Be a researcher of the core deep learning algorithms and communicate with other researchers.
Design and implement advanced algorithms to solve complex problems.
Developing the next generation algorithms including different CNN architectures, CV algorithms and algorithms that utilize Physics in complex environment.

we are the global leader in Identity Security. Centered on privileged access management, our company provides the most comprehensive security offering for any identity human or machine across business applications, distributed workforces, hybrid cloud workloads and throughout the DevOps lifecycle. The worlds leading organizations trust our company to help secure their most critical assets.
Job Description
What will you do:
We are looking for a bright, talented Senior Devops Platform Developer to join a team of highly energized and professional engineers working on mission-critical systems in the red-hot cybersecurity industry. Focused on development flow productivity, building application infrastructures and tools, with huge challenges related to hyper-growth of engineering and application scale.
As part of your role, you will design, implement and deploy products and infrastructures which will directly increase our stability and quality, while reducing our time to market. Design and develop solution-oriented enterprise DevOps Platforms and tools
Create solutions to increase R&D velocity, reduce lead time and improve overall product quality.
Plan, Design, and develop the company SAAS infrastructure, operation engine, and deployment strategy.
Develop and adopt new technologies aim at improving our overall CI/CD pipelines.
Platform and service troubleshooting across various applications, domains, and platforms
Introduce Security into both the CI and CD pipelines utilizing DevSecOps shift left approach.

We seek a FinOps Engineer to join our DevOps & Cloud Group, focusing on optimizing cloud costs, driving financial accountability, and leveraging automation for efficient cloud resource management.

What am I going to do?:

* Analyze, monitor, and report on cloud usage and expenditures, identifying cost-saving opportunities, improving efficiency, and leading the development and maturation of the FinOps framework.
* Collaborate with engineering and operations teams to develop and implement cloud cost optimization strategies, ensuring alignment between technical activities and financial objectives.
*  Implement and maintain financial governance and controls across cloud platforms, utilizing automation for cost trend optimization, anomaly detection, and accurate forecasting.
* Work closely with procurement and vendors to manage cloud costs, ensuring effective negotiation and alignment with organizational financial goals.
* Educate and train teams on FinOps best practices, promoting financial accountability and fostering collaboration across departments.
* Lead change management initiatives within cloud or IT transformations, guiding teams and influencing best practices in cloud financial management.

Define and execute development tests for complex systems
Test hardware and software interfaces, analyze processes, and evaluate system behavior
Establish test setups and experiments, and perform design verification and system-level testing
Identify system malfunctions and propose effective solutions
Collaborate closely with engineering and development teams

seeking a Signal Processing Lab and Development Validation Lead to establish a new team in a classified, cutting-edge technological environment. This is a key role in projects that directly contribute to national security.
Position Description
Manage and operate four advanced laboratories specializing in RF and signal processing
Design, set up, and execute complex test environments and validation processes
Analyze test results and identify issues in collaboration with development teams
Oversee lab infrastructure including equipment, computing systems, and procurement
Work closely with suppliers, internal systems, and external partners
Operate diverse test and measurement equipment (oscilloscope, spectrum analyzer, etc.)