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We are seeking an experienced and hands-on Senior RF Automation Engineer with strong, proven Python expertise to join our R&D team.
This role is focused on building and maintaining advanced automated test solutions for RF systems. You will architect, develop, and execute automation frameworks and tooling to validate complex RF designs and ensure world-class product reliability and performance.
This position is ideal for a self-driven engineer with a deep understanding of RF measurement techniques and a strong software development mindset. You will play a critical role in shaping our automation strategy and influencing next-generation RF product development.
Key Responsibilities:
Lead the development and maintenance of Python-based automated RF test frameworks, tools, and scripts.
Design, execute, and optimize RF test environments and automated test stations.
Configure, calibrate, and operate RF test equipment such as Vector Signal Generators (VSGs), Spectrum Analyzers (SAs), and related instruments.
Create and validate RF test setups for performance validation, debug, and system characterization.
Analyze complex RF datasets, generate detailed reports, and communicate results to R&D leadership and cross-functional teams.
Collaborate with hardware, firmware, and software teams to embed automated testing into the entire development lifecycle.
Continuously enhance automation efficiency, coverage, and capability-leveraging best-practice testing methodologies.
Research and introduce innovative RF automation tools, frameworks, and workflows aligned with R&D goals.

Our Networking BU is looking for Senior Software Program Manager that will be responsible for software programs and projects. The PM should drive planning and execution of FW/SW projects while aligning with corporate priorities and constraints.

Our Mellanox Networking division is a leading supplier of innovative end-to-end InfiniBand and Ethernet connectivity solutions and services for servers and storage. We offer best-in-class solutions that include adapter cards, switches, cables, and software to support networking technologies. Our products optimize data center performance and deliver industry-leading bandwidth and scalability. In addition, we serve a wide range of markets including high-performance computing, enterprise, data centers, cloud computing, big data and Web 2.0. We are constantly reinventing ourselves to stay ahead of the market and bring groundbreaking products and services to the industry. Our product line is focusing on delivering the most optimized Ethernet solutions for industries like Media and Entertainment as well as any other industry that can benefit from our Datastream and TCP/IP acceleration.

What you'll be doing:
You will manage the networking software programs for our next generation AI Data centers.
Responsible to coordinate between all project stakeholders such as marketing, engineering teams in IL and around the world, operations, etc. from initial requirements definition through Architectural stage, execution, and delivery.
Develop and execute feature planning and prioritization of perception capabilities to meet the software programs' needs.
Identify risks, gaps, and bottlenecks in time, and find resolution with technical leaders and project management.
Work with product managers, architects, and engineers to ensure consistency with company strategy, commitments, and goals.

We are looking for a Backend Software Engineer to contribute to the development of our companys enterprise SaaS platform. The role focuses on designing, building, and improving backend services and large-scale infrastructure components.
What Youll Do:
Design and implement backend services that drive a high-scale, high-availability SaaS product.
Lead and contribute to the development of a new rule-engine solution, including architecture, data flow design, and performance considerations.
Work on complex architectural challenges, improving system scalability, stability, and long-term maintainability.
Develop new features end-to-end: analysis, design, implementation, testing, and deployment.
Ensure code quality, performance, observability, and security across backend components.
Collaborate with architects and other engineering teams to design robust technical solutions.

As a Senior Data Engineer, you will play a key role in shaping and driving our analytics data pipelines and solutions to empower business insights and decisions. Collaborating with a variety of stakeholders, you will design, develop, and optimize scalable, high-performance data analytics infrastructures using modern tools and technologies. Your work will ensure data is accurate, timely, and actionable for critical decision-making.

Key Responsibilities:

Lead the design, development, and maintenance of robust data pipelines and ETL processes, handling diverse structured and unstructured data sources.
Collaborate with data analysts, data scientists, product engineers and product managers to deliver impactful data solutions.
Architect and maintain the infrastructure for ingesting, processing, and managing data in the analytics data warehouse.
Develop and optimize analytics-oriented data models to support business decision-making.
Champion data quality, consistency, and governance across the analytics layer.

We are seeking an LLM Engineer to join our innovative team and contribute to the advancement of our security copilot. As an integral member of our growing team, you will play a key role in enhancing our security automation capabilities.

What youll do:
Architect and engineer prompts for various AI models, including LLMs, to generate accurate and actionable outputs for security automation tasks.
Design and develop robust REST APIs that seamlessly integrate AI model functionalities within our core product offerings.
Collaborate with R&D and product teams to optimize AI model performance and integration within our workflow automation platform.
Explore and implement novel applications of AI to enhance our automation capabilities and user experience.

We are seeking a driven, solution-oriented Salesforce Analyst with a deep understanding of platform architecture and a passion for enhancing business performance. In this role, you wont just be "fixing tickets"-you will be a strategic partner to our Sales, Marketing, and Customer Success teams. You will translate complex business needs into elegant, scalable technical solutions that adhere to Salesforce best practices.
What You'll Be Doing:
Lead cross-organizational projects designed to increase efficiency across Sales, BDR, Marketing, and Partner relations.
Work closely with global business leaders to gather requirements, provide system support, and understand the unique nuances of different regional teams.
Architect creative solutions to complex technical challenges, leveraging Salesforces latest features to solve high-impact business problems.
Execute end-to-end configuration, including advanced Flow automation, custom objects, data modeling, and system integrity checks.
Continuously assess our Salesforce instance to identify bottlenecks and implement "best-in-class" improvements that support a rapidly growing SaaS organization.

Required Senior Fullstack Developer
Description
We are a global sports tech hub, serving tens of millions of users with real-time results, stats, news, and content across all major sports. We combine deep tech, live data, and massive scale to deliver one of the most engaging sports experiences in the world.
Ready to dive into a dynamic role where you'll be an integral part of a collaborative team? As a Senior Fullstack Developer, you'll be at the forefront of crafting innovative solutions and contributing to the continuous improvement of our platform.
Responsibilities
Engage closely with Product, Client, DevOps and other R&D teams to deliver exceptional solutions.
Work within an agile environment alongside a team of engineers to meet business objectives efficiently.
Play a key role in designing, architecting, and developing robust solutions while ensuring code quality and seamless deployment.
Develop and maintain APIs and Services to support millions of active users, ensuring optimal performance and scalability.
Identify technical debt and areas that require attention or improvement at the architecture level.
Grow technical knowledge by researching the latest development methods and techniques, sharing that information with your team.

We are seeking an experienced Solutions Data Engineer who possess both technical depth and strong interpersonal skills to partner with internal and external teams to develop scalable, flexible, and cutting-edge solutions. Solutions Engineers collaborate with operations and business development to help craft solutions to meet customer business problems.
A Solutions Engineer works to balance various aspects of the project, from safety to design. Additionally, a Solutions Engineer researches advanced technology regarding best practices in the field and seek to find cost-effective solutions.
Job Description:
Were looking for a Solutions Engineer with deep experience in Big Data technologies, real-time data pipelines, and scalable infrastructure-someone whos been delivering critical systems under pressure, and knows what it takes to bring complex data architectures to life. This isnt just about checking boxes on tech stacks-its about solving real-world data problems, collaborating with smart people, and building robust, future-proof solutions.
In this role, youll partner closely with engineering, product, and customers to design and deliver high-impact systems that move, transform, and serve data at scale. Youll help customers architect pipelines that are not only performant and cost-efficient but also easy to operate and evolve.
We want someone whos comfortable switching hats between low-level debugging, high-level architecture, and communicating clearly with stakeholders of all technical levels.
Key Responsibilities:
Build distributed data pipelines using technologies like Kafka, Spark (batch & streaming), Python, Trino, Airflow, and S3-compatible data lakes-designed for scale, modularity, and seamless integration across real-time and batch workloads.
Design, deploy, and troubleshoot hybrid cloud/on-prem environments using Terraform, Docker, Kubernetes, and CI/CD automation tools.
Implement event-driven and serverless workflows with precise control over latency, throughput, and fault tolerance trade-offs.
Create technical guides, architecture docs, and demo pipelines to support onboarding, evangelize best practices, and accelerate adoption across engineering, product, and customer-facing teams.
Integrate data validation, observability tools, and governance directly into the pipeline lifecycle.
Own end-to-end platform lifecycle: ingestion → transformation → storage (Parquet/ORC on S3) → compute layer (Trino/Spark).
Benchmark and tune storage backends (S3/NFS/SMB) and compute layers for throughput, latency, and scalability using production datasets.
Work cross-functionally with R&D to push performance limits across interactive, streaming, and ML-ready analytics workloads.
Operate and debug object store-backed data lake infrastructure, enabling schema-on-read access, high-throughput ingestion, advanced searching strategies, and performance tuning for large-scale workloads.

This is a unique opportunity to operate with the agility of a startup while leveraging the backing of our companys established resources. We build on our companys industry-leading technology while owning and extending our own stack, enabling a fast pace of execution and the rapid introduction of new innovations into the product. We are designing a highly scalable, multi-tenant SaaS solution that integrates deeply within the broader developer ecosystem to deliver a seamless, plug-and-play experience.
As a Senior Software Engineer at our company you will
Architect and build scalable, multi-tenant microservices that serve as the backbone of our SaaS platform.
Design and implement agentic workflows using LLMs, MCP, and AI agents.
Leverage advanced AI coding agents to accelerate development, writing context-aware, best-practice code across diverse technical domains.
Develop integrations bridging our companys platform with the external ecosystem, including GitHub, Kubernetes, and other development tools.
Drive key infrastructure and architectural decisions to ensure our system is performant, secure, and self-sustaining.
Collaborate with other company teams to leverage the company's core infrastructure and shared services effectively.

We are seeking a Senior Backend & Data Engineer to join its SaaS Data Platform team.
This role offers a unique opportunity to design and build large-scale, high-performance data platforms and backend services that power our cloud-based products.
You will own features end to end-from architecture and design through development and production deployment-while working closely with Data Science, Machine Learning, DevOps, and Product teams.
Key Responsibilities:
Design, develop, and maintain scalable, secure backend services and data platforms on AWS
Build and operate batch and streaming ETL/ELT pipelines using Spark, Glue, Athena, Iceberg, Lambda, and EKS
Develop backend components and data processing workflows in a cloud-native environment
Optimize performance, reliability, and observability of data pipelines and backend services
Collaborate with ML, backend, DevOps, and product teams to deliver data-driven solutions
Lead best practices in code quality, architecture, and technical excellence
Ensure security, compliance, and auditability using AWS best practices (IAM, encryption, auditing).

As an Engineering Manager, youll join to code and lead engineers in an empowered product squad. Youll play a big part in architecting and developing Daisys building operating system and our applications stack and work with the team to plan, shape, and deliver impactful outcomes.

As a leader in the team, you are expected to work in one box with your product manager and lead designer and grow the engineers personally and professionally.

As a Senior DevOps Engineer, youll be the technical driver behind the cloud infrastructure that powers Browse Management. Youll design, build, and scale highly available systems on AWS, enable fast and safe delivery through robust CI/CD, and embed bestinclass reliability, security, and cost efficiency. Youll partner closely with Backend, Frontend, Product, and Security to shape the next generation of our architecture.







Key Responsibilities
Design, implement, and maintain CI/CD pipelines across multiple teams.
Architect secure, scalable infrastructure on AWS (EKS, ECS, EC2, RDS, CloudFront, IAM).
Automate provisioning using Terraform, CloudFormation, and GitOps.
Implement observability, logging, and alerting best practices (Prometheus, CloudWatch, ELK).
Drive reliability, scalability, and cost efficiency across environments.
Mentor engineers and establish DevOps culture and practices.

we are a fast-growing AI powered mobile games publishing company by Unity. We work with game studios worldwide to help them build, scale, and operate successful mobile games using cutting-edge technology.Were looking for a Staff AI Engineer to join our growing AI and engineering group. This is a highly impactful role for someone who wants to shape how AI is embedded across products, platforms, and business operations-from early experimentation to production-scale systems.
As a Staff AI Engineer, youll operate end-to-end: identifying opportunities, designing solutions, and delivering real business value using modern AI and LLM-based systems.
What you'll be doing:
Design, build, and deploy AI-powered solutions across Supersonics products and internal platforms
Partner closely with product, data, engineering, and business stakeholders to identify and execute high-impact AI use cases
Architect and implement agentic workflows using frameworks such as LangChain, LangGraph, or equivalent
Integrate and operate LLMs via SDKs, including prompt design, structured outputs, tool/function calling, and guardrails
Lead technical decisions around AI evaluation, monitoring, observability, and quality measurement
Own AI initiatives from concept through production, including iteration, scaling, and long-term maintenance
Stay up to date with emerging AI technologies, models, and best practices, and help bring them into production thoughtfully

Required Senior DevOps Engineer
Why Join Sensi.AI
Sensi.AI is transforming the world of home care through agentic AI - and were just getting started. As a hyper-growth startup, every team member has the opportunity to make a real impact on peoples lives while working as part of a global, collaborative team in a flexible hybrid environment.
About the Role:
As a Senior DevOps Engineer, youll design and maintain the secure, scalable cloud infrastructure powering our AI healthcare solutions. Youll build automation, CI/CD pipelines, and monitoring systems that ensure reliability and compliance in a fast-paced environment. Your work will directly enable our teams to innovate faster while keeping patient data safe and systems resilient.
What Youll Do:
Architect and manage secure, scalable cloud infrastructure (AWS)
Maintain CI/CD pipelines to streamline deployment and delivery
Automate provisioning, monitoring, and incident response workflows
Troubleshoot and resolve production issues, ensuring uptime and performance
Develop tools that accelerate development and improve operations
Collaborate with teams to uphold security, compliance, and reliability standards.

Role Overview We are seeking an experienced Senior Frontend Web Engineer to lead and develop complex web applications for civilian energy systems. The role involves close collaboration with customers, backend teams, and system architects, with responsibility for frontend architecture, implementation, and best practices.


Responsibilities:

* Lead hands-on development of complex frontend applications.
* Design and implement scalable frontend architecture.
* Develop rich, responsive user interfaces using React
* Integrate frontend applications with backend services and real-time data.
* Work closely with customers to understand requirements and present technical solutions.
* Maintain high code quality through reviews, standards, and documentation.
* Participate in technical discussions, workshops, and customer-facing sessions.