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We are looking for a Fullstack Developer (FE Oriented) to join a growing team!
Our Stack:
Angular
NodeJS
AWS
Kafka
Kubernetes
Elasticsearch
What You'll Do:
End-to-end development and ownership of our products and features, from design, provide a performance, scalable to production
Solving diverse complex problems of high scale
Collaborate with other Engineers and Product s to improve our products

we are hiring a Senior Frontend Engineer to help revolutionize the world of observability. Using cutting-edge AI-driven technology, we are redefining how organizations monitor, analyze, and optimize their systems-making observability more intelligent, efficient, and accessible than ever before. As we scale, we seek top talent to push the boundaries of innovation and shape the future of AI-powered observability. If youre passionate about solving complex challenges and building game-changing technology, join us in transforming how the world understands and interacts with data.
Responsibilities:
Design and maintain features in scalable and high-performance web applications
Implement and optimize design systems to ensure consistency, usability, and maintainability
Improve build processes and frontend architecture to enhance efficiency and developer experience
Write clean, maintainable, and testable code following best practices
Debug, troubleshoot, and upgrade software to ensure stability and performance
Collaborate with cross-functional teams, including product managers, designers, and backend engineers, to deliver high-quality features
Stay up-to-date with emerging frontend technologies, frameworks, and best practices to drive continuous improvement

we are seeking a Senior Infrastructure Engineer to join our Core SRE team and help build the next generation of our stream-based observability platform. We deliver real-time data analytics at scale to some of the worlds leading tech companies
The Core SRE team is responsible for the foundational infrastructure that powers :
Kubernetes Infrastructure: Managing over 10,000 nodes across multiple cloud providers and regions. production is 100% Kubrenetes based
Kafka Clusters: Maintaining critical, large-scale Kafka clusters processing billions of events per second.
Automation & Operators: Building and maintaining both open-source and custom Kubernetes operators to manage complex stateful workloads like Kafka. Our tech stack is constantly evolving. It includes: Kubernetes, Go (Golang), AWS, GCP, Kafka, Istio, and more.
Responsibilities:
Act as a hands-on technical leader with deep expertise in modern cloud infrastructure.
Serve as a go-to person in the team - leading through influence, not hierarchy.
Collaborate cross-functionally to refine requirements and propose innovative, scalable solutions.
Drive long-term, high-impact infrastructure projects across multiple teams, from design to implementation, within defined timelines.
Contribute to improving system reliability, performance, and cost-efficiency at scale.

we are hiring a Software Engineer to help revolutionize the world of observability. Using cutting-edge AI-driven technology, we are redefining how organizations monitor, analyze, and optimize their systems-making observability more intelligent, efficient, and accessible than ever before. As we scale, we seek top talent to push the boundaries of innovation and shape the future of AI-powered observability. If youre passionate about solving complex challenges and building game-changing technology, join us in transforming how the world understands and interacts with data.
Responsibilities:
End-to-end development and ownership of products and features, from design to scalable and predictable production behavior
Solve diverse and complex problems in a high-scale, cloud-native environment
Collaborate with other engineers and product managers to improve product functionality, scalability, and performance
Design, develop, and maintain robust, secure, and efficient software solutions
Ensure high system reliability by implementing best practices in monitoring, observability, and automation
Review code, architecture, and data to identify and troubleshoot technical and performance issues
Work with AI/ML teams to integrate AI capabilities, including model monitoring, evaluation, and fine-tuning

abra R&D is seeking for an Embedded Engineer! We are looking for an Embedded Software Engineer specializing in C++ based User?Space, development in C++, low?level development with C at the bring?up level, system?level integration, and working with FPGA?based platforms (Xilinx). The system includes complex laser processing, image processing, data processing, and communication between multiple hardware modules. Responsibilities:
* User?space software development in C++ for embedded & system?level functionality.
* Low?level development in C for hardware interaction and board bring?up.
* Board bring?up: initializing new hardware boards from first power?up to full operational functionality.
* Understanding and working with BSP, Kernel structures, and Drivers (no Kernel development required).
* Integration and debugging of complex machines involving laser systems, imaging, data flows, and multi?module communication.
* Collaboration with FPGA engineers and work with Xilinx?based FPGA boards
* Use of AI tools at a high level as part of development, analysis, and testing workflows.

Were hiring a Senior Content Designer to join our product team and help shape clear, confident, and human experiences across our companys global payment products.
Youll take ownership of content within complex product areas and help make difficult financial concepts simple - and maybe even delightful - to use.
What does the role entail?
Owning and designing content for end-to-end user journeys across key areas of the company platform
Defining content strategy and direction within your product space, not just executing on screens
Partnering closely with Product Managers, Product Designers, Developers, Analysts, and Localization, and championing user understanding. Were our users' partners on the inside
Collaborating with marketing and product marketing teams, compliance, legal, and business teams to ensure our content is clear, compliant and consistent
Working closely with other writers, such as Marketing or Support, to ensure a cohesive, end-to-end user experience. We all need to see the user journey holistically - no one writes in a vacuum
Helping develop, apply, and consolidate our tone and voice, style-guide, and content design methodology
Reviewing and raising content quality across your product area, and helping set clear standards for content design decisions
Conducting user research and usability testing and turning insights into improvements and better UX
Staying up to date with competitor platforms and flows, industry trends, and emerging technologies in financial technology and design.

In this position, you will get the opportunity to build complex networking chips and interact directly with unit-level ASIC, Physical Design, CAD, Package Design, Software, DFT and other teams.

What you'll be doing:

Lead the end-to-end execution, tracking, and convergence of chip-level CDC and RDC for complex SoCs across all IPs and partitions.

Plan and orchestrate CDC/RDC signoff: define methodology, scopes, run plans, constraints, and acceptance criteria.

Run and maintain CDC/RDC flows and rule decks, including multi-mode, multi-clock, and hierarchical signoff.

Triage violations efficiently: root-cause to RTL, constraints, tool setup, or IP models; prioritize and drive fixes to closure with owners.

Verify reset architecture and RDC robustness (reset domain intent, release sequencing, glitch detection, fanout).

Author and review CDC/RDC constraints, waivers, and justifications; ensure auditability and signoff quality.

Automate runs, report parsing, dashboards, and KPIs for closure tracking using scripting and data tooling.

Partner with RTL, DV, DFT, STA, PD, and Architecture to align fixes, manage ECOs, and protect CDC/RDC quality during late design changes.

Define and enforce signoff gates; communicate progress and risks with clear metrics and issue tracking.

Continually improve methodology and training to prevent recurring CDC/RDC issues and accelerate convergence.

We are seeking a Senior Data Scientist to be one of the first data science hires for our newly formed ML team. This is a unique ground-floor opportunity to build our data science capabilities from scratch and have direct influence on our analytical and modeling approaches. This role combines advanced data science expertise with foundational contributions, requiring someone who can develop sophisticated models, conduct deep analytical research, and help establish the data science methodologies that will guide the team as we scale. As one of our founding data scientists, you'll work closely with our Tech Lead to shape our modeling approaches, define our analytical standards, and build the fundamental data science skill set for future hires.
What You'll Do:Empty heading
Build foundational data science capabilities: As one of our first data science hires, work with the Tech Lead to develop core modeling methodologies, analytical frameworks, and research practices
End-to-end model development: Take ownership of complete ML model lifecycle - from initial research and experimentation through production deployment and monitoring
Build impactful models: Design, develop, and deploy machine learning models that solve complex business problems across payments, risk, and customer analytics
Define analytical standards: Help establish best practices for data exploration, feature engineering, model validation, and statistical analysis
Conduct deep research: Lead exploratory data analysis and research initiatives to uncover insights and identify ML opportunities across the business
Partner with stakeholders: Work closely with business teams to understand requirements, translate problems into data science solutions, and communicate findings effectively
Establish model development practices: Help set up our approach to model experimentation, A/B testing, and performance monitoring
Shape data science culture: Contribute to establishing the team's analytical rigor, documentation standards, and knowledge-sharing practices
Drive innovation: Research and evaluate new ML techniques, algorithms, and approaches that could benefit our business use cases.

We are looking for a 100% hands-on Storage Services Software engineer to join the block storage group. You will be a member of a team that builds the next generation block storage capabilities. You will work closely with a variety of teams and architects including the networking team, and external customers. You will take part in defining the software architecture and implementation of the most advanced storage services! Services that will need to meet extreme performance and scalability demands! We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform of tomorrow.

We work, think and learn as a team. We thrive in a deeply strong environment, and we're passionate about a culture that demands innovation and the highest standards. The rewards are sweet and include collaborating with some of the smartest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to work on products that transform the way people work and play.

What youll be doing:

100% hands-on coding role in C language, kernel and userspace.

Research, design, implement and test, new and existing, networking features for distributed storage services and features of our block storage solution, in both Host and DPU environments.

Acquire understanding of the algorithms, the technicalities and the interaction with other components across our block storage ecosystem.

Analyze and solve challenging bugs and customer cases in large scale production systems, identifying issues in our or inbox kernel modules and often in other components. Drive new solutions based on any issues that arise.

We are searching for a forward-thinking Software Engineer to join our VLSI Design Automation Infrastructure team. We are looking for a candidate who looks beyond traditional scripting and is eager to leverage Artificial Intelligence and Machine Learning to revolutionize how we build chips.

In this role, you will manage high-performance compute and storage environments while pioneering the integration of AI-driven tools into our workflows. You wont just maintain the infrastructure; you will modernize it-using LLMs to optimize code, ML to predict compute bottlenecks, and intelligent automation to streamline the backend networking team's success.

What youll be doing:

AI-Driven Optimization: Leverage AI/ML methodologies to analyze compute and storage patterns, predicting resource needs and optimizing LSF grid performance.

Next-Gen Tooling: Design and develop intelligent scripts and automation tools, integrating Generative AI (LLMs) to accelerate debugging and workflow generation.

Infrastructure Management: oversee complex On-Prem environments (LSF) and storage solutions, ensuring maximum uptime for critical VLSI projects.

Data Visualization: Build dynamic, data-driven dashboards that not only report status but utilize analytics to provide actionable insights on infrastructure health.

We are looking for an excellent software first-level manager to join the NSV (Network Solutions Validation) group. In this role, you will lead major development efforts of high-performing software automation systems for NVIDIA's Data Center environments-driving data growth for some of the worlds largest companies. Youll work in a dynamic, fast-paced environment alongside dedicated engineers worldwide. Are you ready for the challenge?

What You'll Be Doing:

Lead and mentor a team of engineers, fostering a culture of collaboration, innovation, and continuous improvement.

Champion Agile methodologies and Scrum guidelines, facilitating sprint planning, daily stand-ups, retrospectives and sprint reviews.

Collaborate closely with product managers, architects, and collaborators to define priorities, refine requirements, and align on strategic technical goals.

Design and develop an automation platform for benchmarking, monitoring, and analyzing HPC data centers.

Perform Data analysis and data engineering on benchmarking results.

Integrate with external large-scale data storage solutions.

Create and maintain interactive dashboards in Power BI.

Develop AI infrastructure and agent-based solutions to improve usability, observability, and debuggability.

The data & AI division at abra is looking for a hands-on Applied AI Engineer to join an innovative financial project. Youll work closely with the Lead AI Engineer to transform decision-making, document analysis, and credit automation using AI. This is an end-to-end role for a self-starter with strong business sense and a passion for solving complex financial problems. What Youll Do:
* Design, develop, and deploy AI solutions from research to production.
* Build LLM-based engines for financial document analysis, automated data extraction, and credit process optimization.
* Develop and train predictive ML models (Regression / Classification) in small- data environments.
* Fine-tune existing ML and LLM models for specific financial use cases
* Develop backend infrastructure and integrate AI models into user-facing systems

Required Backend Engineer
-About Us
We help modern, mid-size businesses transform the way they manage people, giving HR and managers all they need to connect, engage, develop, and retain top talent. Since 2015, weve achieved consecutive triple-digit year-over-year growth, all backed by our amazing team of Bobbers from across the globe, making us the choice HRIS of over ~4500 midsize and multinational companies and over 1 Milion users.
Our HR platform is intuitive, data-driven, and built for the way people work today: globally, remotely, and collaboratively.
Come and be you with us
Being a Bobber is all about being you. We want you to bring all parts of yourself to work, giving you the freedom and confidence to be the best you and do your best work. If thats bubbly, shy, precise, funny, bold, kind, honest, brilliant, or anything in between, were waiting with open arms.
What will you do?
As a Backend Engineer on the team, youll have a key role in developing our product and its unique features, working closely with our Product team. You should be passionate about software engineering and building a product end-to-end and will be responsible for owning the dev cycle from the technical design, through coding and testing, to deployment and monitoring. We work in a true continuous delivery environment with fully automated QA processes on a microservices architecture, deploying to production dozens of times every day.

We are looking for a Senior Chip Design Verification Engineer for developing the next generation DFT technologies.

As a Senior Chip Design Verification Engineer in the DFT team, you will verify the design and implementation of our DFT technologies in various projects. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting Switches, Nic and SoC product lines. We are working closely with a wide range of aspects - chip design, backend, verification and production testing. We are working on the most advanced technologies and complex products. Our DFT solutions are unique, innovative, and we are continuously looking for new and creative solutions to meet the challenging goals.

What you'll be doing:

In this position, you will be responsible for verification of the DFT design, architecture and micro-architecture using sophisticated verification methodologies.

As a member of our DFT verification team, you'll understand the design & implementation, define the verification scope, develop the verification infrastructure (Testbenches, BFMs, Checkers, Monitors), execute test/coverage plans, and verify the correctness of the design.

Collaborate with architects, designers, emulation, production testing and silicon verification teams to accomplish your tasks.