• Lead a team of Engineers, setting clear expectations and providing continuous feedback, coaching, and mentoring to ensure success and growth
• Working closely with feature owners, economy, liveops and other development teams to implement feature simulations and technological pipelines for Monopoly GO!
• Driving the implementation of systems that transform raw game data into analytical datasets for simulation and evaluation
• Ensuring technical performance is “Best-in-Class” throughout development
• Writing automated, high-quality tests (unit, integration, load, etc.) and working with QA teams to improve gameplay experience, curtail exploits and ensure that everything works smoothly
• Reviewing Technical Design Documents and provide feedback and guidance to other engineers
• Collaborating and communicating with cross-functional departments including: economy, liveops, qa, etc.
• Participating in a strong engineering team and culture
• Live game support & troubleshooting
• Contributing to technical plans and discussing the workflows and requirements with stakeholders
• Implementing tools to empower our liveops and game design teams in the creation of new and exciting game-play experiences
• Explore AI-assisted tools (LLMs, copilots, automation frameworks) to improve productivity, enhance analysis depth, and accelerate iteration cycles

• 6+ years as part of a professional game development team or other relevant area
• Experience managing people, driving 1:1s and performance reviews, doing follow ups and providing regular feedback to direct reports
• Experience driving and leading the technical execution of complex and interdisciplinary developments
• Mastery of C#, Python or another OO language, including experience with asynchronous and multi-threaded programming paradigms
• Hands-on experience with cloud computing (AWS, GCP...) and low-latency, high-scale distributed systems
• Strong computer science and engineering fundamentals (data structures, concurrency, design patterns, algorithms)
• Strong understanding of game framework architecture at scale, maintainability over time, robust API design, etc.
• Strong knowledge of application design best patterns and practices; understanding of maintainability concerns when designing and implementing applications
• Enjoy solving complex technical problems, especially in large systems
• Willingness to learn and work with new technologies
• You’re a great tech communicator who knows how to share knowledge with non-technical people
• You have a desire to seek out and take on user feedback to drive world class application development
• A passion for games

• Experience building your own games as personal projects or game jams
• Experience with AWS, Docker, Kibana, Ansible
• Experience with automated testing
• Solid experience with SQL and at least one data warehouse (BigQuery preferred)
• Knowledge of probability, applied statistics, and simulation techniques
• Experience with distributed processing tools: Spark, PySpark, or alternatives
• Experience building ETL/ELT pipelines using Airflow, DBT, or similar frameworks
• Experience in gaming, monetization, or game economy
• Familiarity with gameplay logic or LiveOps systems
• Experience developing internal libraries or tools for non-technical teams
• Curiosity for experimenting with AI systems to extend capabilities of existing pipelines or prototype new evaluation methods

At Scopely, we believe in creating a supportive work environment where everyone is treated with respect and inclusivity. We welcome individuals from all backgrounds and are committed to providing equal employment opportunities regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other protected status.

The role

This role is for Nebius AI R&D, a team focused on applied research in AI. Examples of applied research that we have recently published include:

• applying reinforcement learning for agent training in long-context multi-turn scenarios
• dramatically scaling task data collection to power reinforcement learning for SWE agents
• building a decontaminated evaluation for SWE agents that is regularly updated
• investigating how test-time guided search can be used to build more powerful agents

The results often lead to collaboration with adjacent teams where our research findings are applied in practice.

We are currently looking for senior- and staff-level ML engineers to work on research in areas such as:

• Guided search and reinforcement learning for agentic systems
• Reinforcement learning for reasoning models
• Web-scale problem collection for training agents
• Efficient model distillation

Some examples of what your responsibilities might include are:

• Conducting experiments to figure out efficient ways to train a large language model on traces of interactions with various environments
• Exploring methods of guided generation and search in the trajectory space
• Coming up with ways to mine relevant data at web scale and figuring out efficient ways to use this data in model post-training
• Conducting experiments with different reinforcement learning configurations in verifiable domains
• Exploring methods to train AI agents on tasks with non-verifiable reward signals

We expect you to have:

• A profound understanding of theoretical foundations of machine learning and reinforcement learning
• Deep expertise in modern deep learning for language processing and generation
• Substantial experience with training large models on multiple computational nodes
• Strong software engineering skills (we mostly use python)
• Deep experience with modern deep learning frameworks (we use jax)
• Strong communication and leadership abilities
• Experience designing, executing, and analyzing machine learning experiments with proper statistical rigor
• Ability to formulate research questions, design experiments to test hypotheses, and draw meaningful conclusions from results
• Ability to document research findings clearly and contribute to technical publications or report

Nice to have:

• Experience with deep reinforcement learning for LLMs, including techniques such as reward modeling, DPO, PPO etc
• Familiarity with important ideas in LLM space, such as RoPE, ZeRO/FSDP, Flash Attention, quantization
• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field Master’s or PhD preferred
• Track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment
• Experience in engineering complex systems, such as large distributed data processing systems or high-load web services
• Open-source projects that showcase your engineering prowess
• Excellent command of the English language, alongside superior writing, articulation, and communication skills
• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing

The role 

We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment.

As a Field Deploy Engineer, you will be leading the on-site delivery and deployment of hardware in new locations.You will plan, coordinate, and supervise activities from rack acceptance tests through full operational readiness, ensuring that servers, storage, networking, and supporting systems are installed and functioning according to specifications.

You’re welcome to work in our colocation in Israel.

Your responsibilities will include: 

Planning & Coordination

• Own the hardware deployment plan for new sites, aligning timelines, scope, and resources with project stakeholders.

• Coordinate with logistics, supply chain, data center construction, and network teams to prepare GPU servers for delivery to customers.

• Verify all pre-deployment requirements (racks, power, cooling, connectivity) are met.

On-Site Delivery & Installation

• Supervise racking, cabling, and powering of hardware equipment.
• Ensure configuration, firmware upgrades, and integration with management systems follow standards.
• Work closely with vendors, contractors, and local staff during the installation phase.

Quality & Readiness

• Conduct functional checks, acceptance tests, and troubleshooting to confirm all systems operate correctly.
• Document installation steps, asset data, and lessons learned for future rollouts.
• Establish and maintain best practices for safe, efficient hardware deployment.

Collaboration & Reporting

• Act as the single point of contact on site for deployment activities, providing clear updates to project managers and leadership.
• Support transition of deployed hardware to operations teams for steady-state management.
• Contribute feedback to improve hardware design and deployment playbooks.

We expect you to have: 

• 3+ years' experience in data center, hardware, or IT field delivery roles.

• Strong knowledge of server, storage, and network installation practices (racking, cabling, power, cooling).

• Strong hands-on experience working on datacenter floors with server hardware and Linux troubleshooting.

• Proven track record coordinating deployments across multiple stakeholders and vendors.

• Ability to read and interpret technical documentation, layouts, and wiring diagrams.

• Ability to perform deep diagnostics across hardware, firmware (BIOS/BMC), and Linux (logs, drivers, storage stack basics, performance triage).

• Excellent organizational, communication, and problem-solving skills.

• Willingness to travel frequently (sometimes at short notice).

It will be an added bonus if you have: 

• Strong familiarity with GPU server platforms and tooling (for example: nvidia-smi, dcgmi, GPU and system logs correlation).

• Experience with Redfish and BMC tooling (ipmitool/Redfish), firmware lifecycle, and staged rollouts.

• Scripting skills (bash and basic Python) for log collection, triage automation, and simple reliability analysis.

• Exposure to OCP-based platforms and ODM manufacturing ecosystems.

• Familiarity with change management, asset tracking, and quality-assurance processes.

• Understanding of health, safety, and environmental standards in datacenter or industrial settings.

As a Senior Software Engineer - C++ Endpoint Security, Collection Engineering (Data Protection Team), you will design and implement low-level C++ or Rust agent modules as a foundational member of our newly formed Data Protection unit. You will research and develop high-fidelity sensors and robust, scalable code to monitor and prevent sensitive data leakage across multiple operating systems. By building these mission-critical collection engines, you will play a key role in defining the technical architecture for SentinelOne’s next generation of data-centric security.

What will you do?

• Lead, design and implement low-level agent modules (using C++ or Rust), capable of monitoring data access and movement with minimal performance overhead.
• Research and evaluate technologies for building high-fidelity sensors that track data access.
• Develop robust, scalable, and performant code that operates reliably across multiple operating systems and environments.
• Collaborate closely with Core Agent, Backend, and Frontend teams to deliver a unified, user-facing, next-generation data protection product.

What Skills and Knowledge Will You Bring?

• 7+ years of experience as a low-level software engineer, building complex systems in modern C++\C.
• Hands-on experience with system-level development, debugging tools, and performance profiling.
• Deep OS Expertise, with strong knowledge of operating system architecture and internals (Windows, Linux, and/or macOS).
• A proven track record of shipping production-quality code to large-scale deployments, ensuring reliability across diverse environments and collaborating with multiple stakeholders.
• Security Domain Expertise
• Technical leadership experience
• Exposure to a multi-stack environment, working across agent, backend, and frontend systems.

Why us?

• Study Funds- SentinelOne contributes 7.5% over your base salary (no tax ceiling is applied), and employees contribute 2.5% of their base salary
• Pension fund- SentinelOne contributes to your pension fund according to local law. Pension contribution may vary based on the selected plan.
• RSUs- 4 years vesting with 1-year cliff and then quarterly.
• Annual bonus (depending on the performance of the company) paid out in 2 cycles
• Employee Stock Purchase Plan- The plan enables employees to purchase SentinelOne stocks at discounted prices vs. market value. (the plan is subject to local taxation)
• Company time off and holidays
• Private medical insurance
• Meal allowance
• Home office allowance
• Hybrid work model- The possibility of working both from the office and working from home
• Parental Leave - Embracing a new child into the family is a unique moment for everyone! In support of that, we offer 20 weeks of fully paid leave for the birth parent and 12 weeks of paid leave for the non-birth parent
• Employee Assistance Program- Psychological sessions with certified therapists to help you overcome stress, personal and professional challenges
• Free Parking in our office building
• Wellness- workout sessions and a wellness app

The Identity Security Posture Management (ISPM) Team

At ISPM (previously known as Spera), we are revolutionizing the field of identity security, providing comprehensive solutions to address the challenges faced by modern organizations. Our platform provides security leaders with end-to-end contextual visibility of their identity landscape, reducing risks, enhancing operational efficiency, and ensuring compliance. 

With an exceptional team dedicated to pushing boundaries and achieving remarkable results, we are seeking a talented engineer to join us in shaping the future of identity security.

This role requires working from the office four times a week.

What you’ll be doing

As a Staff Software Engineer at ISPM, you will play a critical role in building our platform. Your expertise and contributions will have a direct impact on the success and effectiveness of our product. Specifically, your responsibilities will include:

• Lead, design, architect and build high-quality scalable software by introducing best practices around software engineering architecture and processes
• Raise the bar on engineering excellence by improving standard methodologies, producing best-in-class code, documentation, testing, and monitoring
• Collaborate with product and R&D engineers to translate product requirements into technical solutions.
• Identifying and resolving technical issues and performance bottlenecks.
• Staying up to date with the latest industry trends and technologies to continuously improve our products.
• Be a mentor for colleagues and help promote knowledge-sharing

What you’ll bring to the role

• 8+ years of experience as a software engineer, preferably in a fast-paced environment.
• 5+ years of programming experience with Python, specifically focused on backend development.
• A proven track record of successfully building and delivering large-scale systems.
• Solid understanding of software engineering principles, design patterns, and best practices.
• Excellent problem-solving skills and a detail-oriented mindset.
• Strong communication and collaboration abilities to work effectively within a team.

Extra credit if you have experience in any of the following

• Experience with Snowflake or other data warehousing platforms.
• Experience with Amazon Web Services and modern cloud stack.

So, what’s the role all about?

As AI Quality Architect, you are the person who makes quality native to the agentic SDLC. You design the systems, standards, and intelligence layers that ensure every stage of an AI-accelerated pipeline — from requirement ingestion to autonomous deployment — is observable, trustworthy, and continuously improving. You don't retrofit testing onto AI workflows; you architect quality into them from the ground up.

How will you make an impact?  

Agentic Quality Architecture

• Design the end-to-end quality architecture for agentic SDLC pipelines — spanning requirement analysis, code generation, test creation, execution, triage, and release gates
• Define how quality agents are orchestrated: which decisions they own autonomously, which require human-in-the-loop checkpoints, and how confidence thresholds govern both
• Architect multi-agent quality workflows: requirement validation agents, test generation agents, failure triage agents, and regression analysis agents working in coordinated pipelines
• Establish trust and verification models for agent-produced artifacts — test code, assertions, coverage reports, and defect analyses must all be auditable and traceable
• Own the architectural patterns for quality feedback loops between agents: how a deployment agent learns from a triage agent's findings, and how that signal improves future generation

AI-Native Test Engineering Platform

• Design and own the LLM-powered test generation platform — from natural language requirement ingestion to executable, maintainable test output
• Architect the evaluation harness that continuously measures test generation quality: coverage delta, false-positive rates, assertion accuracy, and maintenance burden over time
• Build the self-healing test infrastructure layer — agents that detect broken selectors, drifted APIs, or changed behaviors and propose or apply fixes autonomously
• Define the prompt engineering standards, context injection patterns, and RAG architectures that ground test generation agents in real codebase context
• Architect test artifact governance: versioning, ownership attribution (human vs. agent), rollback capability, and confidence scoring for every generated artifact

Quality Gates in Autonomous Pipelines

• Design intelligent, adaptive quality gates that operate at the speed of agentic CI/CD — gates that reason about risk, not just pass/fail thresholds
• Build risk-scoring models that dynamically adjust gate strictness based on change scope, code origin (human vs. AI-generated), historical failure patterns, and deployment context
• Architect the observability layer for agentic pipelines: what signals indicate a pipeline agent is making poor quality decisions, and how are those signals surfaced in real time
• Define the integration patterns between quality gates and orchestration platforms (LangChain, LlamaIndex, custom agent frameworks) used across the engineering org
• Establish rollback and circuit-breaker patterns for autonomous deployments triggered by quality signal degradation

AI Model & Agent Validation

• Build behavioral testing frameworks for validating AI agents and LLM-powered features in production — testing non-deterministic outputs with statistical rigor
• Design evaluation benchmarks for internal AI tooling: measuring agent task completion accuracy, hallucination rates, context retention, and decision quality over time
• Architect drift detection systems that identify when agent behavior changes between model versions, prompt updates, or context window shifts
• Define adversarial and edge-case testing methodologies for AI features: prompt injection resistance, boundary condition handling, and graceful degradation under distribution shift
• Partner with ML platform and data science teams to establish quality acceptance criteria for every model and agent promoted to production

Have you got what it takes?

• 12+ years in software engineering with strong depth across both development and quality engineering
• 4+ years as a hands-on principal architect or distinguished engineer with cross-org technical scope
• Demonstrated experience designing quality infrastructure used at scale — 50+ engineers, high-velocity pipelines, enterprise SLAs
• Direct production experience building or operating systems that incorporate LLMs or AI agents — not evaluations, but shipped systems
• Background in large-scale CI/CD architecture and the performance engineering domain
• Enterprise SaaS or platform engineering background; familiarity with regulated, high-uptime environments strongly preferred

Agentic AI & LLM Proficiency

• Deep, hands-on understanding of agentic AI patterns: tool use, multi-agent orchestration, planning loops, memory architectures, and human-in-the-loop design
• Expert-level prompt engineering including chain-of-thought, few-shot, RAG, and structured output techniques applied to code and test generation
• Experience designing evaluation harnesses for non-deterministic AI systems — statistical confidence, behavioral consistency, and regression detection
• Familiarity with agent frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, or equivalents) and their tradeoffs in production quality pipelines

Technical Depth

• Expert in Python and TypeScript; proficient in at least one compiled language (Java, Go, C#)

• Strong CI/CD architecture skills: Jenkins, GitHub Actions, pipeline-as-code, artifact management

Leadership & Influence

• Proven ability to drive technical consensus and architectural adoption across multiple teams without direct authority
• Exceptional written communication — your ADRs, RFCs, and design docs set the standard others follow
• Effective technical mentor to senior and staff engineers; you expand the thinking of those around you
• Comfortable and credible presenting to VP and C-level stakeholders; you make complex architecture legible to executives

What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 10833
Reporting into: Senior Director, Engineering, CX
Role Type: Individual Contributor

#LI-Hybrid

Your Role:

At Tenable, we are looking for curious minds dedicated to user success. If you are passionate about providing world-class support, eager to integrate AI into your daily workflow, and ready to take ownership of endpoint security, this is the role for you.
We are looking for a security-conscious IT Support Engineer with 3+ years of experience providing high-touch technical support for global, high-growth organizations. Expert in managing Windows and macOS environments via JAMF and BigFix, with a strong focus on endpoint security and vulnerability remediation. Proficient in using AI tools like Google Gemini and Claude to streamline documentation and accelerate technical troubleshooting. Dedicated to ensuring minimal downtime through proactive infrastructure support and white-glove executive service.
Your Opportunity:

• Technical Troubleshooting: Diagnose and resolve complex issues related to Windows and macOS, mobile devices, and core business applications.
• Executive & Global Support: Provided high-touch technical assistance to C-suite executives and remote global staff, maintaining minimal downtime for critical business operations.
• AI-Assisted Efficiency: Utilized AI tools to accelerate the creation of technical documentation and internal "How-To" guides.   
• Endpoint Security: Ensure all staff devices are patched, compliant, and secure at all times, often addressing vulnerability tickets directly.
• User Onboarding: Provision hardware and access to Tenable’s services and Applications for new hires. Conduct IT orientation training both in person and remotely ensuring new hires are fully provisioned and trained on Day 1
• Infrastructure Support: Maintain and troubleshoot local office networks, Wi-Fi, and conferencing technologies (e.g., Zoom, Google Workspace).
• Global Collaboration: Partner with global teams in InfoSec, Networking, and Systems Operations to adhere to global IT processes.
• Lifecycle Management: Managed the end-to-end hardware lifecycle, from automated provisioning via Apple Business Manager to secure decommissioning and data destruction.

What You'll Need:

• Experience: 3+ years of technical support experience, ideally in a fast-paced or global high-tech environment.
• OS Proficiency: Strong expertise in configuring and troubleshooting Windows and macOS environments, including VMs, Active Directory, and DNS.
• Technical Stack: Hands-on experience with MSP/MDM tools like JAMF, BigFix, and ticketing system, ServiceNow.
• Networking Knowledge: Solid understanding of TCP/IP, Wi-Fi, and common information security practices.
• Soft Skills: Superior customer service and communication skills, with the ability to explain complex technical guidance to non-technical users.
• Project Management: Ability to lead or participate in internal IT projects independently.

And Ideally:

• Familiarity with AWS Workspaces, Okta, or specialized security tools like Nessus.
• Certifications such as CompTIA A+, Network+, or Microsoft/Cisco credentials.
• Experience working with AI tools such as Google Gemini and Claude

#LI-Hybrid

#LI-JG1

Role Overview

Astera Labs is establishing a strategic R&D center in Israel to drive the development of complex semiconductor chips that solve the critical 'data bottlenecks' enabling the future of AI at scale. As we expand our presence in Israel, we're seeking a highly skilled Chip Top Physical Design Engineer focusing on implementation to join our local engineering powerhouse from the ground up.
If you thrive on solving complex, unnamed challenges in deep-submicron processes, your place is with us. 

As a Physical Design Engineer, you will be a key hands-on member of our PD Team in the Israel R&D center. You will execute the physical design of the SoC Top level for chips that drive the world’s largest AI clusters. You will be deeply involved in all PD disciplines of the chip, driving the tape-out (T.O.) GDS to meet strict signoff criteria (Timing, LVS, EMIR, DRC, PV, etc.), ensuring our silicon meets the extreme performance, power, and area (PPA) targets required for AI scale.

Key Responsibilities

• Execute SoC Top-level physical design and actively drive full-chip convergence
• Perform Top-Level physical implementation, including floor-planning, Place & Route (P&R), Clock Tree Synthesis (CTS), Power/Clock distribution, Power Integrity, and Timing/Physical signoff
• Work closely with the Architecture, Design, DFT, and Product teams to achieve optimal Power, Performance, and Area (PPA). This involves participating in feasibility studies for new architectures and optimizing runs to ensure the best Quality of Results (QoR)
• Resolve complex signal integrity, thermal, and power challenges inherent in high-speed connectivity silicon
• Collaborate closely with the Package team on Bump-map-to-Ballout design, taking all signal integrity aspects into consideration

Basic Qualifications

• B.Sc. or M.Sc. in Electrical Engineering
• 5+ years of hands-on experience in Chip Top Physical Design/Backend at leading semiconductor companies, working on advanced process technologies (5nm, 3nm, and below)
• Proven experience executing complex block or chip-level projects with a proactive, "can-do" approach and excellent communication skills
• Deep hands-on expertise in RTL2GDS flows, including P&R, STA, Physical Verification (DRC/LVS), Formal Verification, low-power implementation (UPF/CPF), and EMIR
• Mastery of industry-standard EDA tools (Synopsys Fusion Compiler/ICC2 or Cadence Innovus)
• Practical experience handling both complex macro/subsystem-level designs and Full-Chip integration

Preferred Qualifications

• Deep understanding of Power & Noise analysis (EM/IR)
• Experience with DFT (Design for Test) integration into the physical design flow
• Background in high-speed interfaces or data center protocols

Role Overview

Astera Labs is establishing a strategic R&D center in Israel to drive the development of complex semiconductor chips that solve the critical 'data bottlenecks' enabling the future of AI at scale. As we expand our presence in Israel, we're seeking a highly skilled Front-End CAD Engineer to join our local engineering powerhouse from the ground up.

As a Front-End CAD Engineer, you will be the backbone of our chip design ecosystem. You won’t just be using tools; you’ll be architecting the methodologies, automation scripts, and design flows that enable our hardware teams to push the limits of silicon performance. Your work directly impacts the productivity of the design team and the time-to-market for our next-generation processors.

Key Responsibilities

• Develop, maintain, and optimize RTL generation tools, building automated IPs and SoC schemes
• Create robust applications using Python and Tcl to automate models build, regression and analysis tools and other assisting tools for all disciplines in front-end flows
• Evaluate and integrate Electronic Design Automation (EDA) tools from vendors like Cadence, Synopsys, and Mentor Graphics
• Define the methodologies of usage and integrate AI tools in this fast-growing field impacting all VLSI development flows

Basic Qualifications

• Bachelor’s degree in Electrical Engineering or a related technical field
• 5+ years of hands-on professional experience in relevant industries 
• Proven experience in Python and Tcl within a Linux/Unix environment
• Knowledge and experience in Verilog and/or System Verilog
• Very good communication skills

Preferred Experience

• Strong understanding of the VLSI design cycle, familiarity with clock domain crossing, simulation, debugging, synthesis and timing analysis
• Hands-on experience with industry-standard tools for lint, synthesis, simulation
• Experience with version control systems (Git) and compute cluster management (LSF/SGE)

Role Overview

Astera Labs is establishing a strategic R&D center in Israel to drive the development of complex semiconductor chips that solve the critical 'data bottlenecks' enabling the future of AI at scale. As we expand our presence in Israel, we're seeking a visionary Package Design Engineer to help build our local engineering powerhouse from the ground up. This is a unique opportunity to take on meaningful product ownership in a new site, Driving the physical implementation strategy for chips that power the world's largest AI clusters.

As a Package Design Engineer, you will be a core technical contributor in the development of advanced IC packaging solutions for high-performance connectivity silicon. You will execute the package flow, design, and qualification from concept through production, working closely with silicon, signal integrity, power integrity, mechanical, manufacturing, and external OSAT partners. You will be responsible for implementing package technologies that meet aggressive electrical, thermal, mechanical, and cost targets, enabling Astera Labs’ products to operate reliably in the world’s most demanding AI and cloud environments.

Key Responsibilities

• Execute end-to-end IC package design, from early feasibility and detailed design through to qualification and high-volume manufacturing
• Implement package architecture and utilize advanced technologies (organic substrates, advanced laminate, interposers, multi-die/chiplet packaging, CoWoS - 2.5D/3D integration)
• Drive signal integrity (SI), power integrity (PI), and thermal considerations at the package level for high-speed, high-power devices
• Perform package layout, substrate routing, bump/ball maps, stack-ups, materials selection, and apply mechanical constraints
• Collaborate closely with silicon design, SerDes, system, SI/PI, and reliability teams to optimize overall product performance
• Interface directly with OSATs, substrate vendors, and manufacturing partners to ensure design-for-manufacturability (DFM), yield, and cost targets are met
• Conduct package-related risk assessments, failure analysis, and corrective actions during bring-up and production ramp
• Support NPI, qualification, and product sustainment activities, including vendor technical reviews

Basic Qualifications

• 5+ years of hands-on IC package design experience for high-performance semiconductor products, with full technical ownership from concept through tape-out
• Expert proficiency in IC package design tools (Cadence APD / SiP or equivalent) and hands-on experience designing complex packages (BGA, FCBGA, FCCSP)
• Strong package integration expertise, including stack-ups, ball/bump maps, constraints, SMT integration, and package BOM ownership
• Deep understanding of signal, power, and thermal integrity at the package level, with the ability to execute design tradeoffs based on analysis
• Proven manufacturing and release experience, including running DRC/LVS/DFM, OSAT engagement, and delivering production-ready package designs

Preferred Qualifications

• Experience with AI, networking, PCIe, CXL, or other high-speed data center interfaces
• Familiarity with package reliability standards and qualification (JEDEC, IPC, thermal cycling, HTOL, etc.)
• Experience supporting chiplet-based architectures and heterogeneous integration
• Demonstrated track record of complete technical package ownership on high-volume products

Role Overview

Astera Labs is establishing a strategic R&D center in Israel to drive the development of complex semiconductor chips that solve the critical 'data bottlenecks' enabling the future of AI at scale. As we expand our presence in Israel, we're seeking a highly skilled Physical Design CAD Engineer specializing in CAD Automation and Signoff to join our local engineering powerhouse from the ground up.

This is a unique opportunity to take on meaningful technical ownership in a new site, implementing the backend execution environment and methodologies for chips that power the world's largest AI clusters. As a foundational member of the team, you will be responsible for the physical implementation environment. Your primary mission is to develop, optimize, and support automated flows from RTL to manufacturable GDSII tape-out, ensuring a methodical and efficient work environment for the entire PD team.

Key Responsibilities

• Develop and maintain automated flows for Synthesis, Place & Route (P&R), and Floor-planning to ensure seamless design transitions
• Implement and manage robust environments for Static Timing Analysis (STA), Power Analysis, and Physical Verification (DRC/LVS/ERC)
• Write and maintain custom plug-ins and scripts (Tcl/Python) to extend vendor tool capabilities, tailoring them to specific process node constraints
• Build automated "dashboards" and feedback loops to track and improve Power, Performance, and Area (PPA) metrics across design iterations
• Own the design database structure and version control to ensure team alignment and data integrity
• Collaborate directly with EDA vendors (Synopsys, Cadence, Siemens/Mentor) to troubleshoot flow issues and analyze tool results
• Provide technical support to the broader PD team, helping them optimize individual blocks for power, performance, and timing

Basic Qualifications

• Bachelor’s degree in Electrical Engineering or a related technical field
• 5+ years of hands-on professional experience with back-end industrial tool suites (e.g., Synopsys Fusion Compiler or Cadence Genus/Innovus)
• Expert-level proficiency in Tcl and Python for high-level flow automation, data parsing, and tool customization
• Deep technical understanding of Physical Design concepts, including clock tree synthesis (CTS), routing congestion, timing closure, and signal integrity
• Proven experience executing sign-off flows for complex, high-performance designs
• Strong communication skills and a collaborative approach to solving complex engineering bottlenecks

Preferred Experience

• Hands-on experience with 5nm, 3nm, or more advanced process nodes
• Practical knowledge of compute farm management (LSF/Slurm) and revision control (Git) for managing massive design databases
• Experience in developing proprietary automation wrappers for industry-standard EDA tools

Role Overview

Astera Labs is establishing a strategic R&D center in Israel to drive the development of complex semiconductor chips that solve the critical 'data bottlenecks' enabling the future of AI at scale. As we expand our presence in Israel, we're seeking a highly skilled Physical Design CAD Engineer specializing in CAD Extraction to join our local engineering powerhouse from the ground up.

This is a unique opportunity to take on meaningful technical ownership in a new site, implementing the parasitic extraction (PEX) methodologies and flows for chips that power the world's largest AI clusters. As a foundational member of the team, you will be responsible for the accuracy and efficiency of our extraction environment, ensuring that our high-speed designs are modeled with the highest precision from RTL to GDSII.

Key Responsibilities

• Develop, qualify, and maintain automated RC extraction flows for high-performance AI SoCs
• Own the setup and validation of foundry technology files (e.g., StarRC/Quantus techfiles, TLU+, ITF) across various process corners
• Perform correlation studies between different extraction tools and 3D field solvers (e.g., Raphael, QuickCap) to ensure modeling accuracy
• Collaborate closely with the Signal Integrity (SI) and Power Integrity (PI) teams to provide accurate parasitic data for critical high-speed nets and power grids
• Implement automated scripts (Tcl/Python) to streamline extraction regressions, data parsing, and PEX-to-STA (Static Timing Analysis) handoffs
• Analyze the impact of layout effects (LDE) and parasitics on timing and power, providing feedback to the implementation team to optimize PPA
• Interface with EDA vendors and foundries to resolve extraction tool bugs and methodology gaps related to advanced nodes (5nm/3nm)

Basic Qualifications

• Bachelor’s degree in Electrical Engineering or a related technical field
• 5+ years of hands-on experience in Physical Design CAD or Physical Verification with a heavy focus on parasitic extraction
• Expert proficiency with industry-standard extraction tools such as Synopsys StarRC, Cadence Quantus (QRC), or Siemens Calibre xACT
• Strong scripting skills in Tcl and Python for flow automation and database manipulation
• Deep understanding of semiconductor physics, interconnect modeling, and the impact of parasitics on timing, EM (Electromigration), and IR drop
• Proven experience in validating tech files and running extraction for complex, multi-million gate designs

Preferred Experience

• Hands-on experience with 5nm, 3nm, or more advanced process nodes, including FinFET-specific extraction challenges
• Familiarity with 3D field solvers and their use in benchmarking standard extraction engines
• Knowledge of Netlist formats (SPEF, DSPF) and their integration into STA and Spice simulation flows
• Experience with compute farm management (LSF/Slurm) and version control (Git)

Role Overview

Astera Labs is establishing a strategic R&D center in Israel to drive the development of complex semiconductor chips that solve the critical 'data bottlenecks' enabling the future of AI at scale. As we expand our presence in Israel, we're seeking a highly skilled Physical Design Engineer specializing in EMIR & Power Integrity to join our local engineering powerhouse from the ground up.

This is a unique opportunity to take on meaningful technical ownership in a new site, executing the backend power methodologies for chips that power the world's largest AI clusters. As a Physical Design Engineer, you will be a core technical contributor ensuring the power robustness and long-term reliability of our high-performance connectivity silicon.

You will execute the Electro-Migration and IR Drop (EMIR) analysis and sign-off from block level to full-chip, working closely at the intersection of Physical Design, Analog/Mixed-Signal design, and Package Engineering. You will be responsible for validating power grid architectures to ensure our products meet aggressive voltage drop and reliability targets in advanced FinFET process nodes, directly impacting the performance and yield of chips operating in the world’s most demanding AI and cloud environments.

Key Responsibilities

• Execute static and dynamic IR drop analysis, signal/power electromigration (EM) verification, and self-heat analysis from the block level through to full-chip sign-off
• Implement and maintain robust EMIR flows and methodologies using industry-standard tools (Ansys RedHawk-SC, Cadence Voltus, or equivalent)
• Work with Physical Design teams to implement optimal power grid structures, via pillars, and strap distributions to minimize voltage drop while maximizing routing resources
• Collaborate closely with Analog/SerDes designers to analyze current profiles and ensure robust power delivery to sensitive high-speed IP blocks
• Partner with Package Design engineers to perform Chip-Package-System (CPS) co-analysis, optimizing bump patterns and package routing for superior Power Integrity
• Perform root-cause analysis for voltage drop violations and EM risks, proposing and implementing layout fixes alongside the PD team
• Verify current density rules for ESD protection networks and ensure compliance with strict foundry reliability constraints
• Support silicon bring-up by correlating simulation results with actual silicon measurements and yield data

Basic Qualifications

• Bachelor's or Master's degree in Electrical Engineering or a related technical field
• 5+ years of hands-on experience in EMIR/Power Integrity analysis for high-performance SoCs or high-speed connectivity products
• Strong proficiency in industry-standard EMIR tools (Ansys RedHawk/RedHawk-SC, Totem, or Cadence Voltus)
• Deep understanding of EM/IR challenges in advanced FinFET nodes (7nm, 5nm, 3nm), including fin-heating, thermal coupling, and layout-dependent effects
• Solid understanding of Place & Route flows, power grid synthesis, extraction (RC), and standard cell architecture
• Proven ability to debug complex voltage drop issues, identify "weak spots" in the grid, and drive convergence on large, complex designs
• Proficiency in Python, Tcl, or Perl for flow automation and data parsing

Preferred Experience

• Experience with AI, networking, PCIe, CXL, or large-scale SerDes integration
• Background in Analog/Mixed-Signal EMIR analysis (using Totem or specialized analog flows)
• Experience performing Chip-Package-System (CPS) thermal and power co-simulation
• Familiarity with thermal analysis tools and their interaction with electrical performance
• Experience working with sign-off criteria and margins for high-volume production chips

Role Overview

Astera Labs is establishing a strategic R&D center in Israel to drive the development of complex semiconductor chips that solve the critical 'data bottlenecks' enabling the future of AI at scale. As we expand our presence in Israel, we're seeking a highly skilled Static Timing Analysis (STA) Engineer to join our local engineering powerhouse from the ground up.

This is a unique opportunity to take on meaningful technical ownership in a new site, executing the sign-off methodology for chips that power the world's most advanced AI clusters. As an STA Engineer, you will be deeply involved in the STA activities from chip partition and time budgeting through to final sign-off. You will bridge the gap between Architecture, Design, DFT, and Physical Design to ensure our high-performance silicon meets the aggressive timing targets required for next-generation connectivity.

Key Responsibilities

• Execute the STA flow and sign-off methodologies, ensuring our products meet rigorous timing criteria for the most demanding data center environments
• Collaborate closely with Architecture, Design, DFT, and Backend teams, participating in timing reviews and working with block owners to navigate the path to sign-off convergence
• Develop, optimize, and manage complex SDC constraints, ensuring they are accurate and robust across multi-scenario environments
• Analyze and resolve challenges related to cross-chip clock distribution networks and apply sophisticated margining techniques to ensure robust silicon across all process corners
• Participate in design methodology improvements and tool automation, utilizing both industry-standard EDA tools and custom scripts to make our sign-off process faster and more efficient

Basic Qualifications

• B.Sc. in Electrical Engineering or Computer Engineering
• 5+ years of hands-on experience in Static Timing Analysis (STA) at semiconductor companies, specifically working on advanced process technologies. (Note: Adjust years of experience based on the exact level you are targeting)
• Deep expertise in multi-scenario STA, as well as timing and SDC constraint development and verification at the block and subsystem levels
• Solid understanding of advanced margining methodologies, including OCV, AOCV, and POCV, from synthesis through to final sign-off
• Solid knowledge of physical design flows (Synthesis, P&R, Physical Verification) and how they intersect with timing closure

Preferred Experience

• Experience developing and validating constraints using industry-standard tools like Timing Constraints Manager (Synopsys) or TimeVision (Ausdia)
• Proven track record of executing STA on complex Macro-level designs and supporting Full-Chip timing integration
• Strong background in scripting (Tcl, Python, Perl) and automation to enhance timing closure efficiency

Role Overview

Astera Labs is establishing a strategic R&D center in Israel to drive the development of complex semiconductor chips that solve the critical 'data bottlenecks' enabling the future of AI at scale. As we expand our presence in Israel, we're seeking a visionary Formal Verification Engineer to help build our local engineering powerhouse from the ground up. This is a unique opportunity to take on meaningful product ownership in a new site, defining the formal verification strategy for chips that power the world's largest AI clusters.

As the Formal Verification Engineer, you will be a foundational member of our Israel R&D center. You won’t just execute tasks; you will define the Formal verification strategy for chips that drive the world’s largest AI clusters. You will dive deep into the technical details, proving the correctness of complex designs and ensuring they flawlessly meet specifications.

Key Responsibilities

• Own and develop formal verification environments from scratch through to sign-off
• Apply formal verification methodologies and strategies to prove the correctness of intricate designs
• Work closely with the Architecture, Design, and DV teams to identify verification needs and pinpoint design requirements
• Create robust formal environments, analyze complex RTL designs, and apply advanced formal techniques to find corner-case bugs
• Analyze verification results, identify failures, and collaborate directly with designers to resolve issues efficiently
• Architect and develop generic, common formal functions and properties to be reused across multiple projects

Basic Qualifications

• Bachelor's degree in Electrical Engineering or a related technical field
• 5+ years of hands-on experience in Formal Verification within semiconductor companies
• Deep expertise in formal verification methodologies, tools, and flows
• Strong understanding of RTL design and verification principles
• Experience with industry-standard formal verification tools (Jasper, VC Formal, or similar)
• Excellent communication skills, strong analytical thinking, and a proactive, "can-do" approach to problem-solving

Preferred Qualifications

• Track record of successfully taking complex blocks or subsystems through the entire formal verification lifecycle
• Experience with SystemVerilog UVM-based design verification
• Knowledge of networking standards (Ethernet, NVLink, UALink, PCIe)
• Background in high-speed serial interface verification

An overview of this role

As a Staff Engineer on GitLab's Software Composition Analysis team, you'll drive hands-on implementation of security features that help customers understand and manage risks in their software supply chain. Your focus will be on enhancing GitLab's SCA capabilities in dependency scanning and container scanning. You'll work directly on architecture and technical implementation and help the team push forward on three core goals: Gather (introducing data points that help customers understand the urgency of issues, like reachability analysis and supply chain poisoning detection), Integrate (providing other teams with innovative collection techniques for better workflows), and Optimize (solving data correlation at massive scale). You'll contribute hands-on code, help solve novel technical challenges, and establish patterns that improve how the distributed team works together across multiple time zones.

Examples of some future features that you may help build: 
- Dependency scanning for unmanaged C/C++ 
- Dependency Scanning for Yocto environments 
- Vulnerability detection using CPE-based matching against package metadata

What you’ll do

• Implement complex features in dependency scanning and container scanning, shipping improvements that increase scan coverage, improve accuracy, and drive adoption of GitLab's SCA capabilities
• Solve novel technical problems in SCA, establishing reusable patterns that reduce delivery time and improve engineering effectiveness across the team
• Guide architectural and implementation decisions in collaboration with engineering managers, product managers, and peer engineers to improve scalability, reliability, and delivery outcomes across the team's SCA architecture
• Contribute code, design reviews, and technical mentorship that raise quality standards, improve maintainability, and strengthen performance across the codebase
• Collaborate across GitLab's security domain to align SCA work with related efforts in vulnerability management and adjacent product areas, accelerating delivery of shared roadmap goals and improving coordination across related security efforts
• Identify and resolve technical debt, prioritizing changes that improve team velocity, code health, and long-term maintainability across the team's core SCA services
• Translate product needs and customer feedback into technical solutions in partnership with product, UX, and security stakeholders, delivering features that address high-impact customer risks and advance shared roadmap goals

What you’ll bring

• Hands-on experience in Software Composition Analysis and the ability to contribute to complex security features in dependency scanning and container scanning
• Deep hands-on expertise in building and evolving dependency scanning and container scanning analyzers
• Demonstrated ability to design solutions that balance complexity, performance, and maintainability
• Expertise with backend technologies, particularly Go and/or Ruby on Rails, with ability to pick up new technologies quickly
• Familiarity with cloud providers like GCP, CloudFlare, or AWS
• Ability to evaluate technical tradeoffs in SCA and security tooling, with proven success delivering maintainable solutions that help customers manage software supply chain risk
• Ability to work effectively in distributed, async-first teams across multiple time zones
• Experience explaining complex technical and security concepts to engineers and stakeholders

About the team

The Software Composition Analysis team is part of GitLab's Sec Engineering group, and we focus on building capabilities that help customers identify and manage risks in their software supply chain. We work across areas including dependency scanning, container scanning, and license scanning, and we work closely with product, UX, security, and adjacent engineering teams to close important feature gaps in GitLab's platform. Our team members are distributed across regions including Europe and North America, so we rely on clear documentation, asynchronous communication, and thoughtful coordination across time zones. This opportunity is centered on helping us deliver complex security features while balancing hands-on technical progress with strong team execution.

An overview of this role

You'll join GitLab's Software Supply Chain Security stage as the Staff Engineer, Secrets Management, providing technical leadership for GitLab's strategic investment in integrated secrets management. You'll set the technical direction for GitLab Secrets Manager, our OpenBao-powered solution that helps customers securely store, distribute, and manage the lifecycle of secrets used across CI/CD pipelines. This role sits at the intersection of the GitLab platform and the OpenBao open source project: you'll drive architecture decisions for multi-tenant secrets management at scale, guide integration into GitLab, and contribute upstream so we can deliver capabilities customers can trust.

In your first year, your success will look like a clear, scalable architecture for GitLab Secrets Manager, reliable performance that meets GitLab.com needs in partnership with Infrastructure teams, and strong cross-team alignment across Pipeline Security, Authentication, and Platform. You'll also represent GitLab in OpenBao's governance and technical discussions, helping ensure our product direction and upstream contributions reinforce each other.

How we interview

Our process includes technical interviews and stakeholder conversations focused on how you partner across functions and drive alignment.

You should expect questions about how you collaborate with cross-functional partners and communicate tradeoffs in ambiguous, high-impact work.

What you'll do

• Lead the technical strategy for GitLab Secrets Manager, setting architecture direction for secure, multi-tenant secrets management at scale.
• Own the integration between GitLab and OpenBao, including namespaces, authentication mechanisms, and policy management.
• Collaborate with Pipeline Security, Authentication, and Platform teams to propose, review, and deliver cross-team secrets management improvements.
• Partner with GitLab.com Infrastructure teams to ensure secrets management meets reliability, performance, and operational requirements.
• Represent GitLab in the OpenBao open source project by contributing features upstream, participating in technical steering discussions, and maintaining strong technical credibility.
• Mentor and advise engineers on secrets management, cryptographic systems, and secure architecture patterns, raising the quality and consistency of designs and implementations.
• Interface with engineering managers and senior leadership to scope initiatives, clarify tradeoffs, and unblock delivery across teams.
• Engage with customers and external stakeholders to understand real-world needs and communicate GitLab's secrets management capabilities and roadmap direction.

What you'll bring

• Experience designing and operating secrets management systems (for example, HashiCorp Vault, OpenBao, or cloud-native offerings), including secure storage, access control, and audit logging.
• Ability to lead architecture decisions for resilient, multi-tenant services that handle secrets operations at scale, including high availability and cluster management patterns.
• Working knowledge of cryptographic and key management concepts, such as encryption in transit and at rest, key derivation, and hardware security module (HSM) or PKCS#11 integrations.
• Experience implementing authentication and authorization integrations, such as JSON Web Token (JWT) or OpenID Connect (OIDC), mutual Transport Layer Security (mTLS), and certificate-based authentication.
• Proficiency building product integrations in Go (within the OpenBao or Vault ecosystem) and Ruby on Rails for GitLab platform integration.
• Experience contributing to open source projects and working effectively with distributed governance, balancing upstream needs with product requirements.
• Demonstrated ability to operate with high autonomy, drive strategy, and serve as a trusted partner to senior leaders (including constructively challenging assumptions and tradeoffs).
• Strong communication and collaboration skills to influence across teams and levels, including mentoring engineers and working in a fully remote, asynchronous environment.

About the team

The Secrets Management team sits within the Pipeline Security group in GitLab's Software Supply Chain Security stage. We own GitLab Secrets Manager, an OpenBao-powered capability that helps teams securely store, distribute, and manage the lifecycle of secrets used across continuous integration and continuous delivery (CI/CD) pipelines. The team works closely with Authentication, Authorization, Compliance, and Platform counterparts to deliver secure defaults, reliable operations for GitLab.com, and product-grade integration between GitLab and OpenBao (including namespaces, authentication, and policy management). Our core challenge is building multi-tenant secrets management at scale while balancing upstream open source collaboration with the needs of GitLab customers.

An overview of this role

As the Principal Engineer, Software Supply Chain Security, you’ll own the technical strategy that secures how software is built and delivered on GitLab’s DevSecOps platform. You’ll provide architectural leadership across multiple engineering teams. You’ll also partner closely with infrastructure and CI/CD teams to harden our pipelines, infrastructure, and access layers. Your work will shape GitLab’s enterprise security posture in the rapidly growing software supply chain security market. You’ll focus on SLSA Level 3 compliance, secrets management, CI/CD security hardening, and the foundations of GitLab’s global zero trust architecture. You’ll mentor Staff Engineers and individual contributors, and you’ll guide critical technical decisions. You’ll also act as a spokesperson with customers and external stakeholders for GitLab’s secure, mission-critical SaaS that runs millions of pipelines.

Some examples of our projects:

• SLSA Level 3 compliance and provenance attestation across GitLab’s CI/CD platform
• Integrated secrets management and runner security for container-isolated, secure pipelines

What you’ll do

• Lead the end-to-end software supply chain security architecture for GitLab’s CI/CD platform, including SLSA Level 3 implementation and CI infrastructure hardening.
• Drive cross-team technical strategy and decisions across our Software Supply Chain Security (SSCS) stage teams, aligning engineering work to SSCS strategic plans.
• Collaborate with infrastructure and CI/CD teams to design and land long-term initiatives for secure, scalable runner architecture, container isolation, and pipeline security at scale.
• Propose and validate technical implementations that support architectural changes to improve CI/CD scaling and performance on critical paths.
• Teach, mentor, and coach Staff Engineers and individual contributors, raising the bar on supply chain threat modeling, secrets management, artifact signing, and SBOM lifecycle practices.
• Partner with Engineering Managers and senior leadership to define roadmaps, break down complex initiatives, and enable Staff Engineers to lead sub-department-wide efforts.
• Engage with customers and external stakeholders as a technical consultant and spokesperson for GitLab’s software supply chain security capabilities and roadmap.
• Collaborate with product, security, and compliance stakeholders to ensure features meet enterprise security, governance, and regulatory expectations in the software supply chain security market.

What you’ll bring

• Deep expertise in software supply chain security, including threat modeling for supply chain attack vectors, SLSA implementation and attestation systems, and SBOM generation and lifecycle management.
• Strong knowledge of artifact signing and verification using the Sigstore ecosystem, including Cosign, Fulcio, Rekor, and in-toto attestations.
• Experience designing and hardening CI/CD security, such as runner isolation, pipeline security controls, and secrets management in large-scale environments.
• Background in distributed systems and infrastructure, including building resilient CI/CD platforms that process high pipeline volumes and optimizing performance for critical paths.
• Practical experience with container security and Kubernetes security, including admission controllers, policy controllers, workload isolation, and registry hardening.
• Proficiency in Go or Rust in a production environment, combined with expert-level understanding of CI/CD workflows and DevSecOps best practices.
• Experience operating as a Principal or Staff Engineer across multiple development teams, providing architectural leadership and partnering with Engineering Managers and senior leaders.
• Demonstrated capacity to clearly communicate complex problems and solutions.

About the team

Our Software Supply Chain Security stage engineering teams are responsible for authentication and access within GitLab. We also build features that help customers manage vulnerabilities, dependencies, security policies, and compliance frameworks across their organizations. Our group includes four core teams (Authentication, Authorization, Pipeline Security, and Compliance) and more than 40 engineers. We work asynchronously across regions and partner closely with product, security, and infrastructure to deliver secure-by-default features for customers in highly regulated industries.

Staff Data Engineer - Data Platform 

Capitolis | Tel Aviv | Full-time 

About the Role 

Capitolis is a leading financial technology company that optimizes capital markets through innovative technology solutions. We work with the world's largest financial institutions to improve capital efficiency and reduce risk in their operations. 

We're building an enterprise-wide data platform to unify data from across our applications and systems. We're looking for a Staff Data Engineer to architect and build our AWS + Snowflake data lakehouse, integrate diverse data sources, and enable AI agents to deliver insights to internal teams and external users. 

You'll be the technical leader establishing our data infrastructure from the ground up — building pipelines, setting engineering standards, and creating patterns the team can scale. You'll report to our head of DevOps. 

What You'll Do 

• Build the data platform: Design and implement our data lake on AWS (S3, Glue, Lake Formation) with Snowflake as the analytics layer 

• Enterprise integrations: Create robust pipelines ingesting data from finance systems, applications, and third-party sources using CDC and API integrations 

• Enable AI-driven insights: Build semantic layers and APIs that allow AI agents to query and analyze data securely 

• Optimize for scale: Implement performance tuning, cost optimization, and data quality monitoring across the platform 

• Establish best practices: Define data modeling patterns, governance frameworks, and engineering standards 

• Mentor and lead: Guide engineers on data platform architecture and implementation 

Requirements 

Must-Have: 

• 8+ years in data engineering with 5+ years building data platforms 

• Deep expertise with AWS data services: S3, Glue, Lake Formation, IAM, Step Functions/MWAA 

• Production experience with Snowflake: Snowpipe, virtual warehouses, RBAC, performance optimization 

• Strong Python and SQL skills with focus on data processing and optimization 

• Experience integrating enterprise systems (ERP, CRM, finance platforms) 

• Built real-time or near real-time data pipelines (CDC, streaming) 

Strongly Preferred: 

• LLM/agent integration with data platforms (semantic layers, API design) 

• Data governance and security implementation at scale 

• Change Data Capture tools (Glue DMS, Debezium, Fivetran) 

• Infrastructure as Code (Terraform) 

Nice to Have: 

• Kinesis or Kafka for streaming data 

• Vector databases for AI/ML applications 

• Open source contributions to data tools 

What We're Looking For 

• Builder mindset: You write code and ship infrastructure, not just design architectures 

• Pragmatic decision-making: You balance perfect solutions with delivering value quickly 

• Technical leadership: You establish patterns and mentor through hands-on work 

• Self-starter: Comfortable with ambiguity and defining the path forward 

• Strong communicator: Can translate technical concepts for diverse stakeholders 

Tech Stack 

AWS (S3, Glue, Lake Formation, Lambda, Step Functions), Snowflake, Python, Git 

Full time/ Hybrid

As a Principal Engineer within Payoneer’s Business Applications domain, you are a senior technical authority responsible for shaping the long‑term architecture, engineering standards, and modernization strategy of mission‑critical financial systems.

Reporting to the Domain Architect, you will operate at a domain‑wide and cross‑domain level, driving architectural decisions, influencing multiple teams, and ensuring that Payoneer’s cloud‑native transformation is scalable, secure, and sustainable.

This role is ideal for a highly experienced engineer who combines deep hands‑on expertise with strategic architectural thinking, thrives in ambiguous problem spaces, and is motivated by solving complex, systemic challenges at scale.

What You’ll Do

Own Domain‑Level Architecture & Technical Direction

• Define and evolve the target architecture for the Business Applications domain, ensuring alignment with Payoneer’s cloud, security, and platform strategies.
• Act as a technical decision‑maker for high‑impact initiatives, reviewing and influencing designs across multiple teams and services.
• Identify architectural risks, systemic bottlenecks, and long‑term scalability concerns—and proactively drive solutions.

Drive Large‑Scale Cloud & Legacy Modernization

• Lead complex, multi‑year modernization efforts, including decomposition of monoliths, domain realignment, and migration of critical systems to cloud‑native architectures.
• Set principles and reference patterns for event‑driven systems, APIs, data flows, resiliency, and backward compatibility.
• Partner with architects, SRE, security, and platform teams to ensure solutions meet reliability, compliance, and performance requirements.

Set Engineering Excellence Standards

• Define and champion engineering best practices across backend development, DevOps, observability, security, and SDLC processes.
• Raise the technical bar through design reviews, architectural forums, and mentorship of Tech Leads and senior engineers.
• Influence Payoneer’s “Shift Left” culture by embedding quality, security, and operability into design and development from day one.

Provide Strategic Hands‑On Leadership

• Stay hands‑on in critical paths: complex designs, proof‑of‑concepts, high‑risk changes, and foundational services.
• Guide teams through technically challenging decisions without becoming a delivery bottleneck.
• Serve as a trusted escalation point for complex production or architectural issues.

Influence Across the Organization

• Collaborate closely with Product, Architecture, SRE, Security, Data, and Business stakeholders to ensure technical solutions deliver real business impact.
• Translate business and regulatory constraints into robust technical designs.
• Act as a role model for ownership, accountability, and long‑term thinking.

What We’re Looking For (Core Competencies)

System‑Level Thinking

Exceptional ability to reason about large, distributed systems, understand second‑ and third‑order effects, and make trade‑offs that balance speed, quality, and sustainability.

Technical Authority & Influence

Recognized ability to influence technical direction across teams through expertise, clarity, and credibility—without relying on formal authority.

Cloud & Distributed Systems Mastery

Deep experience designing and operating large‑scale, cloud‑native systems (AWS strongly preferred), including networking, security, resiliency, and cost optimization.

Backend & Platform Engineering Excellence

Expert‑level backend engineering skills, with hands‑on experience in multiple stacks and paradigms. Experience with Node.js is an advantage due to its significant footprint within Business Applications.

DevOps, Reliability & Security Mindset

Strong background in CI/CD, GitOps, infrastructure‑as‑code, observability, and production operations. Proven experience embedding security and reliability into system design.

Qualifications

• 10+ years of backend software engineering experience.
• 5+ years operating at senior technical leadership levels (Principal Engineer, Staff Engineer, or equivalent).
• Proven ownership of large‑scale modernization, platform, or cloud migration initiatives.
• Deep expertise in microservices, event‑driven architectures, API design, and distributed systems.
• Experience in fintech or regulated environments is a strong plus.

#LI-CD1

At ZoomInfo we encourage creativity, value innovation, demand teamwork, expect accountability and cherish results. If you are collaborative, take initiative, and get stuff done we want to talk to you! We have high aspirations for the company and are looking for the right people to help fulfill the dream. We strive to continually improve every aspect of the company and use cutting-edge technologies and processes to delight our customers and rapidly increase revenues.

Job Overview

The Infrastructure Engineering group (IE) is responsible for innovation in infrastructure and automation for ZoomInfo Engineering. Our size, culture, and the support we receive from every area the company allow us unusual latitude and agility. We’re using that to build world class, multiprovider cloud infrastructures, based on the best technologies available, almost completely unhindered by design debt.

Staff in ZoomInfo Engineering are given autonomy and personal discretion in their work, and they get to see their work have a direct and tangible impact on the success of Engineering, and the company’s broader goals. If the idea of operating within an international team, in a fast paced work environment appeals to you, we want to hear from you.

A successful candidate will have a strong background in modern infrastructure, with a thorough understanding of industry best practices. They will have a high level of comfort participating in challenging technical discussions and advocating for best practices in a high-paced environment.

Summary of Essential Job Functions

• Thorough, clear, concise documentation of new and existing standards, procedures, and automated workflows
• Championing of best practices and standards around infrastructure configuration and management
• Experience in creating internal products and managing their software development lifecycle
• Deployment, configuration, and management of infrastructure via infrastructure as code
• Working hands on with cloud infrastructure (AWS, Azure, and GCP)
• Working hands on with container infrastructure (Docker, Kubernetes, ECS, EKS, GKE, GAE, etc.)
• Configuration and management of Linux based tools and third-party cloud services
• Continuous improvement of our infrastructure, ensuring that it is highly available and observable

Minimum Requirements

• Solid foundation of experience managing Linux systems in virtual environments (6+ years)
• Deploying and maintaining highly available infrastructure in one or more Cloud providers (5+ years, AWS or GCP preferred)
• Infrastructure as code using Terraform (4+ years)
• Creating, deploying, maintaining, and troubleshooting Docker images (4+ years)
• Scoping, deploying, maintaining and troubleshooting Kubernetes clusters (4+ years)
• Developing and maintaining an active codebase in Go, Python preferably (3+ years)
• Experience with PaaS technologies (5+ years, EKS and GKE preferred)
• Maintaining monitoring and observability tools (Datadog, Prometheus preferred)
• Thorough understanding of network infrastructure and concepts (VPNs, routers and routing protocols, TCP/IP, IPv4 and v6, UDP, OSI layers, etc.)
• Experience with load balancing and proxy technologies (Istio, Nginx, HAProxy, Apache, Cloud load balancers, etc.)
• Debugging and troubleshooting complex problems in cloud-native infrastructure.
• Slack native mentality.
• Bachelor’s Degree in Computer Science or a related technical discipline, or the equivalent combination of education, technical certifications, training, or work experience.
  
  

Abilities Required

• Demonstrated ability to learn new technologies quickly and independently
• Strong technical, organizational and interpersonal skills
• Strong written and verbal communication skills
• Must be able to read, understand, and communicate complex problems and solutions in English over a textual medium (such as Slack)

#LI-Hybrid

• Deploy and maintain critical data pipelines in production.
• Drive strategic technological initiatives and long-term plans from initial exploration and POC to going live in a hectic production environment.
• Design infrastructural data services, and to build scalable data solutions.
• Work in Agile process with Product Managers and other tech teams.
• End-to-end responsibility for the development of data crunching and manipulation processes within the Optimove product.
• Design and implement data pipelines and data marts.
• Create data tools for various teams (e.g., onboarding teams) that assist them in building, testing, and optimizing the delivery of the Optimove product.
• Explore and implement new data technologies to support Optimove’s data infrastructure.

• B.Sc. in Computer Science or equivalent.
• 3+ years of extensive SQL experience (preferably working in a production environment)
• Experience with programming languages (preferably, Python) – a must!
• Experience with "Big Data" environments, tools, and data modeling (preferably in a production environment).
• Strong capability in schema design and data modeling.
• Understanding of micro-services architecture.
• Familiarity with Airflow, ETL tools, Snowflake, and MSSQL.
• Quick, self-learning and good problem-solving capabilities.
• Good communication skills and collaborative.
• Process and detailed oriented.
• Passion to solve complex data problems.

• Experience with GCP services.
• Experience with Docker and Kubernetes.
• Experience with PubSub/Kafka.

Staff Data Platform Engineer

We are looking for a Staff Data Platform Engineer to join our Engineering team and lead the evolution of our next-generation data platform. In this high-impact role, you will operate as a player-coach: you will be the technical visionary responsible for designing the ecosystem, while remaining deeply hands-on to implement scalable, secure, and intelligent solutions that power everything from operational reporting to advanced GenAI applications.

You will bridge the gap between complex business requirements and technical execution, advocating for a data-first culture. This role offers a clear growth path: while it currently starts as an individual contributor position, it has the potential to evolve into a leadership role.

Why join Tipalti?

Tipalti is the AI-powered platform for finance automation, elevating how finance teams operate in the global economy. We empower our customers to scale faster and smarter by removing the complexities of doing global business and accelerating their finance operations efficiency. Our platform provides a comprehensive suite of finance automation solutions designed for mid-market businesses across accounts payable, global payouts, procurement, employee expenses, corporate cards, supplier management, tax compliance, and treasury. Tipalti partners with leading financial institutions such as Citi, Wells Fargo, J.P. Morgan, and Visa, enabling over 5,000 global companies to efficiently and securely pay millions of suppliers and payees across 200+ countries and territories, in 120 currencies.

At Tipalti, we pride ourselves on our collaborative culture, the quality of our product and the capabilities of our people. Tipaltians are passionate about the work they do, and keen to get the job done. Tipalti offers competitive benefits, a flexible workplace, career coaching, and an environment where diverse individuals can thrive and make an impact. Our culture ensures everyone checks their egos at the door and stands ready to reach for success together. 

Founded in Israel in 2010, Tipalti is a global business headquartered in the San Francisco Bay Area (Foster City) with offices in Tel Aviv, Plano, Toronto, Vancouver, London, Amsterdam, Tbilisi and Medellin.

About the Role

• Architecture & Hands-on Execution: Design and actively build a comprehensive data platform. You will not just oversee infrastructure; you will write the core code and build tools that support diverse workloads—from operational reporting to complex analytical queries.
• Strategic & Technical Delivery: Partner with product managers to translate business objectives into technical strategies, then lead the engineering effort to deliver them.
• Technology Evaluation: Continuously evaluate, prototype, and select best-in-class technologies to future-proof our data stack.
• Technical Leadership & Mentorship: Act as a primary advocate for platform adoption. You will foster a community of practice around data engineering, mentoring senior and mid-level engineers to elevate the team's technical bar.
• Governance & Quality: Implement and automate robust frameworks for Data Discovery, Quality, and Governance, ensuring solutions are trustworthy and compliant with financial regulations.

About you

We are looking for a highly motivated Staff Data Platform Engineer with a strong sense of ownership, eager to tackle technical challenges in a high-throughput data processing environment.

• Experience: 8+ years of hands-on experience in Data Engineering and Architecture, with a track record of building and shipping platforms at scale.
• Experience with modern big data platforms such as Snowflake, Databricks, or similar technologies.
• Hands-on experience with Data infrastructure experience (Orchestration, scalability, reliability, and cloud architecture).
• Data Movement & Integration: Deep understanding of data movement strategies, including high-frequency batching, CDC, and real-time event streaming.
• Technical Depth: Deep understanding of database internals. High proficiency in Python and SQL. You can dive into code when necessary to solve complex issues.
• Modeling & Architecture: Strong know-how in dimensional modeling and schema design (relational and NoSQL), with proven experience implementing Data Warehouse or Lakehouse architectures.
• GenAI & RAG Expertise: You have practical experience architecting and building RAG (Retrieval-Augmented Generation) pipelines, with specific knowledge of Vector Databases, Embedding Models, and LLM Orchestration frameworks.
• Business Acumen: A strong ability to understand business objectives and translate them into technical strategies that drive tangible value.
• Leadership and Communication: As this is a central role in the product tech organisation, you will need a strong ability to influence engineering teams and drive consensus without direct authority. You must have excellent communication skills to explain complex architectural concepts to C-level stakeholders and non-technical partners.

Our tech teams are the engine behind our business. Tipalti’s tech ecosystem is extremely rich and we continually add new features to our products, ensuring that we respond to our clients’ needs at scale. Our tech teams retain a fast-paced, start-up vibe that encourages innovation and critical thinking. At Tipalti, you’ll have the opportunity to work with a diverse, global team of engineers, developers and product leaders who are collectively building the future of our best-in-class product suite as we transform financial operations for the future.

About Our Tel Aviv Offices

Hybrid Work Model - Tipalti offers a hybrid work model, with two days per week working from home and three days per week from our beautiful offices in North Tel Aviv.

Shuttle Services - Shuttle services are available from the nearest train station and across Tel Aviv to the office.

Parking - Parking is available for all employees.

Snacks & Treats - Enjoy a selection of snacks and treats available on every floor.

#IL-hybrid

About the role:

We’re on a mission to build the first holistic smart payment solution-one that maximizes authorization rates for our merchants by intelligently determining and executing the optimal strategy for every transaction. Our Payments team is designing and running highly critical, production-grade infrastructure, and we’re looking for a deeply technical engineer to help shape it from the ground up.

In this role, you’ll lead the design and development of payment products, build resilient infrastructure, dive deep into technical complexity to solve production challenges, and work closely with teammates, stakeholders, and customers to understand their needs. You’ll have end-to-end ownership-from architecture and coding to deployment and monitoring-while helping set the technical direction for a growing initiative.

This is an early-stage effort, giving you the chance to be a founding member, influence architectural decisions, and directly impact merchant success. We value thoughtful technology choices, resourcefulness, and a fast-moving, problem-solving mindset. Our engineers are creative, independent, and adaptable, working with a diverse stack of technologies to deliver maximum value to our clients.

What you’ll be doing

• Build and enhance payment products-creating new systems from scratch while improving and integrating with existing ones
• Design and implement resilient, production-grade infrastructure that can handle critical workloads
• Lead technical initiatives within the Payments team, collaborating with teammates and stakeholders across Forter
• Work across a diverse tech stack and programming languages
• Brainstorm and shape features with product managers and peers, guiding decisions with your technical expertise
• Work closely with customers to understand their needs and translate them into impactful payment solutions
• Mentor and support fellow engineers
• Dive deep into technical complexity to diagnose and solve production issues
• Take initiative-if you see a way to make our systems or workflow better, own it and make it happen

What you'll need:

• 7+ years building and maintaining complex software systems
• 5+ years backend experience, with a strong focus on production-grade systems
• 2+ years JavaScript experience
• Hands-on experience with critical production systems - high availability, reliability, and scalability
• Familiarity with browser, networking, and security concepts
• Product, production, and growth mindsets
• Passion for solving technical challenges that directly impact users and operations
• Strong communication, collaboration, and problem-solving skills
• Can-do attitude with ownership mentality
• Professional-level spoken and written English

It'd be cool if you also have:

• Extensive experience with Node.JS
• Experience leading cross-team initiatives
• Frontend / React / Mobile experience
• Significant experience with databases/datastores (MySQL, Redis, ElasticSearch)
• Experience from previous payments companies / projects
• Experience building Enterprise-grade SaaS products

About us:

Digital commerce is built on trust. At every point along the eCommerce journey, businesses must make a critical decision: Can I trust this customer? Answering this simple question accurately and instantly is powerful—it can accelerate revenue growth and strengthen a company’s connection with its customers. How do we do it? Forter was founded on the insight that it's not about what is being purchased, nor where— but who is behind the interaction.

The Forter Decision Engine finds patterns across more than one billion identities in our dataset. We isolate fraudsters and protect customers—ensuring everyone gets the experience they deserve.  Given that trust is central to how we operate, Forter is very much driven by a defined set of values. We attract remarkable talent and have retention and engagement levels that are well above benchmarks. We’re meticulous about strengthening our culture as we grow and ensuring this is an environment where people can have outsized impact. 

Trust is backed by data –  Forter is a recipient of over 10 workplace and innovation awards, including: 

• Great Place to Work Certification (2021, 2022, 2023, 2024, 2025)
• Fortune’s Best Workplaces in NYC (2022, 2023, 2024 and 2025)
• Forbes Cloud 100 (2021, 2022, 2023, 2024 and 2025)
• Anti-Fraud Solution of the Year at the Payments Awards (2024)

Life as a Forterian:

We are a team of over 600 Forterians spread across 3 different continents. Since 2013, we've raised $525 million from investors such as Tiger Global, Bessemer, Sequoia Capital, March Capital and Salesforce Ventures. We're on a mission to bring trust to global digital commerce so that companies like Adobe, ASOS, eBay, Instacart, Priceline and Nordstrom can block fraud, drive revenue and improve customer experience.

At Forter, we believe unique people create unique ideas, and valuable experience comes in many forms. So, even if your background doesn't match everything we have listed in the job description, we still encourage you to apply and tell us why your skills and values could be an asset to us. By welcoming different perspectives, we grow together as humans and as a company.

About the role:

Forter is looking for a Senior Software Engineer to join our Decision Engineering team. The group is responsible for the real-time, low-latency infrastructure that powers Forter’s fraud decisions and external APIs.

Our systems process billions of requests every day, ensuring high availability, security, and performance at global scale.

In this role, you’ll work on core backend components such as our decision engine, ingestion and enrichment pipelines, schema management systems, and self-serve API platform. The software you build will power critical business decisions and directly serve some of the world’s largest merchants.

This is a high-impact, high-ownership position for an engineer who thrives on solving complex distributed systems challenges, cares deeply about production-grade quality, and wants to shape the foundation of Forter’s decisioning platform.

What you'll be doing:

• Lead the architecture and evolution of Forter’s decision engine and related services: real‑time decision APIs, rule and policy engines, model‑serving interfaces, and the orchestration layers that tie them together.
• Design and implement highly available, low‑latency, distributed systems that process large‑scale event streams and support complex decision workflows.
• Collaborate with product, risk, and customer‑facing teams to translate risk strategy and merchant needs into robust system capabilities (e.g., configurable decision flows, exemptions, auditability, analytics surfaces).
• Mentor and coach engineers across levels in areas such as distributed systems design, reliability engineering, and systems thinking, elevating the overall standard of engineering in the group.
• Participate in technical discussions and customer interactions, providing expertise and clear communication when supporting enterprise integrations.

What you'll need:

• 7+ years of experience building backend systems in large-scale production environments
• Strong programming skills in Python, Java, Kotlin, or Node.js
• Hands-on experience with cloud-native technologies (AWS, Kubernetes, Docker)
• Proven ability to design and maintain high-scale distributed systems
• Strong sense of ownership, autonomy, and accountability
• Excellent communication skills, with the ability to explain complex systems clearly to both technical and non-technical audiences — including direct collaboration with customers worldwide

It'd be cool if you also have: 

• Experience with API Gateway architectures, schema/versioning strategies, or platformization efforts
• Familiarity with real-time data processing frameworks (e.g., Flink, Storm) and resilience patterns
• Background working alongside data science or machine learning teams
• Contributions to developer platforms, infrastructure services, or internal tools improving engineering velocity

About us:

Digital commerce is built on trust. At every point along the eCommerce journey, businesses must make a critical decision: Can I trust this customer? Answering this simple question accurately and instantly is powerful—it can accelerate revenue growth and strengthen a company’s connection with its customers. How do we do it? Forter was founded on the insight that it's not about what is being purchased, nor where— but who is behind the interaction.

The Forter Decision Engine finds patterns across more than one billion identities in our dataset. We isolate fraudsters and protect customers—ensuring everyone gets the experience they deserve.  Given that trust is central to how we operate, Forter is very much driven by a defined set of values. We attract remarkable talent and have retention and engagement levels that are well above benchmarks. We’re meticulous about strengthening our culture as we grow and ensuring this is an environment where people can have outsized impact. 

Trust is backed by data –  Forter is a recipient of over 10 workplace and innovation awards, including: 

• Great Place to Work Certification (2021, 2022, 2023, 2024, 2025)
• Fortune’s Best Workplaces in NYC (2022, 2023, 2024 and 2025)
• Forbes Cloud 100 (2021, 2022, 2023, 2024 and 2025)
• Anti-Fraud Solution of the Year at the Payments Awards (2024)

Life as a Forterian:

We are a team of over 600 Forterians spread across 3 different continents. Since 2013, we've raised $525 million from investors such as Tiger Global, Bessemer, Sequoia Capital, March Capital and Salesforce Ventures. We're on a mission to bring trust to global digital commerce so that companies like Adobe, ASOS, eBay, Instacart, Priceline and Nordstrom can block fraud, drive revenue and improve customer experience.

At Forter, we believe unique people create unique ideas, and valuable experience comes in many forms. So, even if your background doesn't match everything we have listed in the job description, we still encourage you to apply and tell us why your skills and values could be an asset to us. By welcoming different perspectives, we grow together as humans and as a company.

The role 

We are hiring Senior and Staff ML Engineers that sit within Safety Systems / autonomy organisations, building critical behaviours for Level 2 to level 4 driving. It is highly product-focused: you will train and iterate on end-to-end driving models and get them shipped into the car on a fast timeline measured in months. The opportunity is to own the full loop from data and training through evaluation and on-road validation, with direct impact on high-priority commercial deliveries (including the Nissan MVP). You will join a small, high-ownership teams at the point of rapid growth, where execution and real-world outcomes matter.

Key responsibilities

• Develop the AI driver model architecture and training algorithms to introduce and enhance the safety behaviors for L2/L3/L4
• Own key parts of the training model lifecycle, including evaluation strategy, success metrics, and iteration planning.
• Mine, bucket, and curate real-world and synthetic data to teach specific driving behaviours, and implement data schemes to support training.
• Run and analyse on-road and offline experiments, translate results into clear next steps, and drive improvements through repeated training cycles.

About you  

In order to set you up for success as a Machine Learning Engineer at Wayve, we’re looking for the following skills and experience.  

Essential

• Proven experience training deep learning models, with clear end-to-end ownership (data, training, evaluation, iteration).
• Proven Experience taking ML models into production, including working through real-world constraints and quality and safety requirements.

Desirable

• Reinforcement learning experience (especially where it materially improved real-world performance).
• Experience with end-to-end driving models and / or transformer networks 
• Automotive or OEM experience, or prior work that involved deploying ML into safety-critical systems.
• Experience with a Pytorch lightning training infrastructure 

This is a full-time role based in our office in Israel.  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.