As a Senior Platform Engineer, you will be tasked with leading the design and development of a unified, scalable Developer Platform, building secure APIs and infrastructure using modern DevEx and CI/CD practices, and collaborating across teams to drive innovation in a global, high-scale environment.

What will you do?

Primary responsibilities include: 

• Help create the Future: Dive deep into our current developer platform, identify pain points, and design innovative solutions to address them in an iterative way toward a shared vision. Participate in design and development of a new architecture that supports scalability, maintainability, and operational excellence.
• Modernize the Stack: Collaborate with architects and teams to evaluate and implement the right tools, frameworks, and methodologies for building a robust, user-centric developer platform.
• Hands-on Development: Write high-quality, production-ready code.
• Mentor and Lead: Guide and mentor other engineers, contribute to their professional growth, share best practices and architectural insights, and foster a culture of engineering excellence. Your involvement increases the overall quality, whether you wrote it directly, reviewed it, or had a hand in designing it.
• Collaborate Across Teams and Orgs: Partner with engineering, architects, product, design, quality, DevOps / Infra teams, and leadership to align on objectives, design, timelines, and execution strategies.

Our stack: Go, Python; Kubernetes, Docker, AWS, GCP, FedRAMP; GitHub Actions, ArgoCD; GitHub Enterprise; depending on the requirements of the service for communication, we use Kafka, REST API, GraphQL, gRPC, etc.; Postgres, MongoDB, Redis, ClickHouse; Prometheus/Thanos, Grafana

What Skills and Knowledge Will You Bring?

Ideal candidates will have: 

• Expertise in Developer Platform / DevEx fundamentals and infrastructure platform services design
• Proficiency in Golang, experience with Python is a plus
• Deep proficiency in CI/CD pipelines and tooling (e.g., GitHub Actions, ArgoCD, Jenkins) in large-scale environments
• Extensive experience with cloud platforms (AWS and/or GCP) and Kubernetes
• Excellent problem-solving skills
• Strong ownership and accountability, with proven experience driving large, impactful projects
• Strong communication skills and ability to articulate technical concepts and influence engineering direction across teams, departments, and stakeholders in multiple time zones

Why Us? 

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

• 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 
• Music Room fully equipped room
• Wellness- workout sessions and a wellness app

As a Senior Software Engineer - C++ Linux & Cloud Workload Runtime Security, you will design and develop end-to-end detection capabilities to identify and defend against attacks on Linux servers, Kubernetes, and containerized environments. You will work on low-level kernel hooks, detection engines, and system-level challenges to deliver scalable security solutions at the runtime level. By collaborating on architecture, design reviews, and proof-of-concepts, you will continuously apply the latest Linux and cloud security technologies to protect mission-critical workloads.

What will you do?

The role includes end-to-end responsibility for new detection capabilities, starting from researching the landscape of new Linux/Containers related security technologies through designing detection strategies and algorithms and delivering them at scale. You will work on low-level Kernel hooks to complicated detection engines and pure system engineering challenges. Your deliveries will enhance the security of different Linux and cloud workloads platforms protected by our product, that serves thousands of users (from enterprise & public sector clients across the globe, incl. some of the largest companies globally).

What your role will look like:

• Software Development (70-80% of time)
• Conduct low level research and Design of new features
• Peer code reviews; Participate in team’s design reviews
• Teamwork
• Learn new technologies in the Linux and Cloud workloads security domains
• Architect end-to-end security solutions for complex features with loose problem definition
• Modeling and POC of solutions for complex problems
• Support customers with issues and requests within the team’s domain

What skills & knowledge should you bring?

• 5+ years of experience as a software engineer, developing complex systems in modern C++ 
• Proficient in Linux OS architecture, security, and internals.
• Hands-on experience with Linux low-level development and debugging.
• Previous experience of working on a production-grade product with a large-scale deployment.

It’d be great if you have experience with:

• Linux kernel development or kernel tracing
• Hands-on experience with eBPF
• Container internals, platforms, and orchestrators such as Docker and Kubernetes.
• Linux networking subsystem
• Software development in either Rust, Go, or  Python.

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
• Music Room fully equipped room
• Wellness- workout sessions and a wellness app

So, what's the role all about?

NiCE enables organizations to address today's consumer and employee expectations by delivering effortless, consistent, and personalized digital-first experiences with CXone, the world's leading cloud CX platform. CSA team is dedicated to developing groundbreaking AI products that are transforming the industry. We promote a culture of collaboration, learning, and the utilization of advanced technologies. We are inviting enthusiastic students or recent graduates to join our CSA team as Associate DevOps Engineers. This position offers a unique opportunity to learn and contribute to the CI/CD processes, cloud management on AWS and Azure, and AI-powered infrastructure automation.

How will you make an impact?

• Assist in the development and maintenance of CI/CD pipelines.
• Work closely with experienced DevOps engineers and other teams to learn best practices in development and operations integration.
• Support the management of cloud infrastructure on AWS and Azure under supervision.
• Help monitor system performance and participate in troubleshooting and optimization tasks.
• Assist in deploying, monitoring, and maintaining AI based services and workloads.
• Support integration of Generative AI capabilities (e.g., LLM-based services) into CI/CD pipelines and cloud environments.
• Participate in evaluating and integrating AI-related tools and services.
• Engage in continuous learning, adopting industry best practices, new technologies, and emerging AI trends.

Have you got what it takes?

• Student of Computer Science, Computer Engineering, or Software Engineering.
• At least 4 semesters left until graduation
• Knowledge of AWS services
• Good knowledge of Python
• Basic familiarity with AI concepts
• Understanding of REST APIs and experience working with external services - advantage
• Familiarity with containers (Docker) and CI/CD tools - advantage
•  Awareness of cloud-based AI services (such as AWS Bedrock, SageMaker, or Azure AI services) – advantage
• Available for 100 hours / 2.5 days a week
• Great team player with excellent interpersonal skill
• Independent, self-driven, strong self-learner, with ability to self-manage tasks and meet deadlines
• Global mindset & great communication skills in English

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:  10738
Reporting into: Group Lead, DevOps, CX
Role Type: Student

#LI-Hybrid

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

About the Role

The Platform Security team sits at the core of the Fireblocks platform. We are responsible for the engine that evaluates, enforces, and governs every action taken within the system. If it involves a governance policy, an approval chain, or access control, it touches our team.

We are looking for a strong, ownership-driven Senior Software Engineer to lead our Policy Engine and Governance domain. You will perform mission-critical engineering at high scale, where correctness is everything. This role requires a true "builder", someone who can architect complex, distributed business logic while also having the technical depth and willingness to dive into low-level C++ code to optimize core platform components.

What You’ll Do

• Own the Domain: Take end-to-end technical ownership of the Policy Engine and Governance domain, driving the architecture, design, and implementation from 0 to 1 and beyond.
• Bridge High-Level & Low-Level: Navigate seamlessly between designing highly available, modern microservices and writing/maintaining performance-critical, low-level C++ code when the system demands it.
• Build for Scale: Implement robust backend applications to process complex rule evaluations at scale and with minimal latency.
• Collaborate & Lead: Act as a technical leader within the team, collaborating closely with Product, and other engineering teams to translate complex enterprise governance requirements into scalable technical solutions.
• Maintain Excellence: Ensure the robustness and maintainability of our services, taking part in incident response, on-call rotations, and operational excellence.
• Leverage AI: Utilize modern AI tools and agents to accelerate development workflows, while applying critical judgment to validate AI-generated output in complex or high-stakes contexts.

What You’ll Bring

Must-Have:

• 8+ years of backend engineering experience building large-scale, high-volume distributed systems or SaaS platforms.
• Polyglot & Systems Depth: Strong proficiency in modern backend languages (e.g., Go, TypeScript, Python, or Java) combined with hands-on experience and a willingness to touch low-level C++ code.
• Architectural Mastery: Deep understanding of system design, microservices architecture, concurrency, and distributed SQL databases.
• Builder's Mentality: A proven track record of taking deep ownership of a complex product domain, acting as a technical anchor, and pushing projects forward independently.
• AI Tooling Experience: Hands-on experience working with AI development tools (Claude Code, Cursor, etc.) and the critical engineering judgment to know when to trust and when to override them.
• Infrastructure Knowledge: Experience working with cloud and backend technologies (e.g., Docker, Kubernetes, AWS, DataDog).

Strong Advantage:

• Security Mindset: A background in cyber-security, adversarial thinking, or experience working in highly security-sensitive environments.
• Governance Expertise: Experience building Policy Engines, Rule Engines, Identity and Access Management (IAM) systems, or authorization frameworks.
• Blockchain Knowledge: Familiarity with the blockchain ecosystem, smart contracts, or digital assets.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. A Technical Account Manager (TAM) will continue to provide hands-on technical services to our largest customers by supporting, adopting and providing guidance over the comprehensive suite of products and features available at Datadog. A TAM is held in high regard as an expert and trusted advisor for how IT Operations translates to business value.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Advise on technical support and product adoption for customers in line with pre-sales, post-sales and the renewal processes
• Analyze customer’s IT Operations environment on a regular basis and provide recommendations that will maximize Datadog’s value.
• Be the customer’s advocate by knowing their goals and use cases then suggesting process changes, product adoption, configuration and additional features to meet their requirements
• Participate and prepare for Monthly and Quarterly Business Reviews with customers
• Collaborate with Datadog’s product management, engineering and technical services teams to help identify new features and products
• Continuously evolve best practice to technical product adoption and customer success

Who You Are:

• Someone with a solid technical grounding and hands-on experience of IT Operations
• Confident in your hands on experience AWS, Azure or GCP
• Comfortable scripting languages like Python, Javascript, Ruby, Perl, Go, PHP, or Chef/Puppet etc.
• Skilled in using CI/CD tools e.g. Jenkins, Gitlab etc.
• Knowledgeable about Containerization tools e.g. Docker, Kubernetes or Rancher etc.
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 30% of the time
• Previous experience working as a TAM supporting mid-market and/or Enterprise customers in the cloud space
• Experienced using Datadog and/or other cloud monitoring tools

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

As a Machine Learning Engineer at MyHeritage, you will play a crucial role in developing and implementing machine learning models that drive our products and user experiences. You will have a significant impact on our large and growing user base by leveraging the latest AI technologies to solve challenging problems at scale. This is a unique opportunity to join a forward-thinking team that is passionate about innovation, data, and machine learning.

What you’ll do

• Design, develop, and deploy machine learning models for various business needs.
• Collaborate with cross-functional teams, product managers, and software engineers, to integrate ML solutions into production systems.
• Experiment with and iterate on model architectures to improve accuracy, efficiency, and scalability.
• Work with large datasets to preprocess, clean, and extract meaningful features for model training.
• Utilize MLOps best practices to automate and streamline the development lifecycle of ML models.
• Monitor model performance and fine-tune for optimization.
• Stay updated with the latest research and advancements in machine learning and AI.

What you bring

Technical skills:

• Strong foundation in machine learning techniques such as supervised and unsupervised learning, deep learning, and vision/NLP experience.
• Proficiency in Python, along with popular ML libraries and frameworks such as PyTorch, Scikit-Learn, pandas, NumPy, SciPy, TensorFlow.
• Experience with data preprocessing and feature engineering for structured and unstructured data.
• Knowledge of model deployment and serving, using tools like Docker, Kubernetes, or cloud-based services (AWS, GCP, Azure).
• Familiarity with MLOps tools for automation and monitoring (e.g., MLFlow, ClearML).
• Experience with SQL for data extraction and analysis (optional).

Experience:

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
• 7+ years of experience in software development, including at least 3 years of experience in the machine learning domains.
• Experience working in a B2C company or a similar high-paced environment is an advantage.
• Proven track record of implementing impactful machine learning solutions in production.

Core attributes

• Strong analytical mindset, with the ability to tackle complex problems with creativity and efficiency.
• Excellent communication skills for conveying technical ideas to both technical and non-technical stakeholders.
• High level of attention to detail and quality in your work.
• Ability to work effectively in a team environment, while also being a self-starter when working independently.
• Curious and eager to keep learning about the latest trends in AI and machine learning.
• Comfortable in a fast-paced, dynamic work environment with changing priorities.

 About MyHeritage

MyHeritage is the leading global discovery platform for exploring family history. With billions of historical records and family tree profiles, and with sophisticated matching technologies that work across all its assets, MyHeritage gives users the joy of discovering their past and empowering their future. MyHeritage is the most popular DNA test and family history service in Europe. Since 2020, MyHeritage is also home to the world’s most advanced AI technologies for repairing, enhancing, colorizing, and animating historical photos. Learn more at www.myheritage.com. See what it’s like to work at MyHeritage on www.glassdoor.com.

Benefits at MyHeritage

Our employees enjoy a range of benefits to enhance work-life balance and well-being:

• Hybrid work model
• Modern, beautiful office in Or Yehuda with shuttle service from Tel Aviv and employee parking (for our Or Yehuda employees)
• On-site gym and pilates classes
• Dog-friendly office
• Well-stocked kitchens and a monthly meal allowance 
• Fully funded supplemental health insurance

#LI-Hybrid

What You’ll Do

• Take ownership of services and features, working in an agile environment to deliver high-quality solutions.
• As part of this team, you’ll take a key role in refactoring systems to build more robust, scalable, and streamlined services. This involves deep infrastructure work and modern service architecture.
• Design and build core micro-services, laying the foundation for our product and internal platforms.
• Collaborate with product managers, architects, and other developers to understand requirements and translate them into technical specifications.
• Continuously explore and evaluate new technologies and tools to improve efficiency and enhance the capabilities of our systems.

Basic Requirements

• 5+ years (senior-level) working with Node.js
• 3+ years working with MongoDB
• 1+ years' experience with NestJS framework
• Experience working with microservices architecture
• B.Sc in Computer Science/ Software engineering or equivalent field 
• Independent but knows how to be professionally dominant in a team

Nice to Have

• Working with Kubernetes and Docker deployment
• Experience with Firebase Services like Functions, Storage and Authentication

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The Role

Tavily team is building the search engine for AI agents. We believe the future of work will be led by AI agents, and that requires restructuring how the web is accessed. Our Search API provides web access for AI agents, enabling real-time internet search optimized for LLMs and Retrieval-Augmented Generation (RAG). We are backed by leading investors and serve developers and enterprises worldwide. Our team is fast-moving and ambitious. We ship quickly, iterate constantly, and care deeply about impact.

As a Software Engineer - Scraping Specialist, you’ll build the systems that power how AI interacts with the live web. You’ll design and implement large-scale, intelligent web acquisition pipelines, making sense of an ever-changing online ecosystem and transforming it into structured, high-quality data.

This role blends technical understanding of browsers, networks, and automation with hands-on engineering. You’ll work on adaptive systems that navigate modern websites, understand evolving web interaction ,detection systems, and gather meaningful information safely, efficiently, and at scale.

Your work will directly shape Tavily’s ability to provide AI agents with accurate, real-time knowledge of the world , bridging the gap between the open web and intelligent reasoning.

What You’ll Do

• Build distributed data acquisition systems that capture and structure the live web
• Investigate and analyze browser internals, fingerprinting, and anti-automation systems to develop stealthy, adaptive orchestration layers
• Prototype and deploy intelligent automation frameworks using Playwright, Puppeteer, and low-level browser control protocols (CDP)
• Conduct hands-on research into network flows, JavaScript-based protections, and emerging web standards affecting automation
• Collaborate with AI and infrastructure teams to integrate real-time web data into retrieval pipelines and LLM-powered agents
• Translate deep technical insights into production-grade components, balancing research freedom with engineering rigor
• Continuously evolve Tavily’s capabilities in resilience, speed, and authenticity of web interaction

What We’re Looking For

• 3–5 years of experience as a backend or systems engineer, ideally working with large-scale, distributed, or web-facing infrastructure
• Strong programming skills in Python or Node.js, with experience in Go or C++ considered a strong plus
• Proven experience building and maintaining browser automation systems (Playwright, Puppeteer, or CDP) in production environments
• Solid understanding of browser internals, network protocols, and web interaction mechanisms
• Experience designing high-performance, resilient systems that handle scale, concurrency, and complex orchestration
• Strong debugging and analytical skills - able to investigate edge cases, performance bottlenecks, and behavior under dynamic web conditions
• Comfortable working in a fast-moving environment, collaborating closely with product, AI, and infrastructure teams to ship reliable systems quickly
• Excellent documentation and communication skills to ensure smooth integration and operational visibility

Nice to Have

• Familiarity with cloud infrastructure, containerization (Docker), Kubernetes, and CI/CD
• Experience integrating AI or retrieval systems into production pipelines

The role 

The Data Engineering team is responsible for building and maintaining robust data infrastructure that powers analytics, and business intelligence across Nebius. We design and implement scalable data pipelines, optimize data storage and processing, and enable data-driven decision making across the organization. The team works closely with product teams and business stakeholders to ensure alignment with company goals.We are looking for a Data Engineer to design, build, and maintain our data infrastructure and pipelines. You will work on processing large-scale datasets, optimizing data workflows, and enabling analytics capabilities that support our rapidly growing cloud platform.

Your responsibilities: 

• Design, develop, and maintain scalable data pipelines.
• Build and optimize data infrastructure.
• Implement data quality monitoring and validation frameworks.
• Optimize data storage, processing, and query performance for large-scale datasets.
• Design and implement data models for analytics and reporting use cases.
• Develop tools and automation to improve data engineering workflows and productivity.
• Ensure data governance, security, and compliance standards are met.
• Participate in on-call rotation to support production data systems.

Must-haves: 

• 3+ years of experience in data engineering or related roles.
• Experience building and maintaining data pipelines using orchestration tools (e.g., Airflow, Prefect, Dagster).
• Strong proficiency in SQL and solid programming skills in Python.
• Experience with distributed data processing frameworks (e.g., Apache Spark, or similar).
• Knowledge of data modeling principles and best practices.
• Understanding of data architectures and storage systems.

Nice-to-haves: 

• Experience with real-time data streaming platforms.
• Familiarity with Infrastructure as Code tools (Terraform, etc).
• Experience with containerization (Docker) and Kubernetes.
• Knowledge of data governance and privacy frameworks (GDPR, SOC2).
• Knowledge of data quality and observability tools (Great Expectations, etc.).

We conduct coding interviews as part of the process.

The Role

Your responsibilities will include:

• Ensure fault-tolerance, scale, and uninterrupted operations for the service.
• Use cutting-edge cloud technology to solve a variety of infrastructure problems.
• Implement and improve CI/CD processes.

We expect you to have:

• Solid experience with programming languages (like Go, Python, or C++);
• Solid understanding of classic algorithms and data structures;
• Commercial experience with and deep understanding of Unix systems and network technology;
• Experience with systems for containerization and configuration management (Ansible, Salt, Terraform, Docker, K8s, Helm).

It will be an added bonus if you have:

• Desire to be involved in backend development;
• Experience designing, developing, and running high-load distributed systems;
• Commercial experience with a variety of cloud platforms.

We conduct coding interviews as part of the process.

Realize your potential by joining the leading performance-driven advertising company!  

As a Senior Software Engineer, you’ll play a vital role in establishing one of Taboola’s newest and strategic growth domains- empowering advertisers and partners to independently build, optimize, and scale their campaigns. 

Our Tech Stack: Java, JS, TS, Python, Reactive, Spark, Kafka, Hadoop, Cassandra, Vertica, ES, MySQL, Memcached, HDFS, Iceberg, BigQuery, Druid, Kusto, Docker, K8S, Linux, Prometheus, Grafana, Airflow…

Gen AI: Cursor, Claude, GitHub Copilot, Langfuse and much more

 To thrive in this role, you'll need:

• 5+ years of experience in Java, infrastructure development, and production-grade systems, with strong end-to-end ownership.
• Strong big data expertise, including hands-on work with diverse databases, analytical thinking, and a passion for scaling challenges.
• Proven technical leadership, with experience mentoring engineers and collaborating effectively across teams.
  Product- and business-driven mindset, with high self-learning abilities and confidence to dive into new domains.
• High-impact execution, demonstrating adaptability, accountability, and the drive to deliver results in complex environments.

Bonus points if you have:

Proven experience building and scaling large-scale distributed systems, including Web/JavaScript technologies, Kafka, Docker, and Kubernetes.Strong background in big data platforms, with hands-on experience in NoSQL and distributed databases (Vertica, Cassandra, Elasticsearch, BigQuery), as well as Spark and HDFS.

How you’ll make an impact:

• Design, develop, and address scalability challenges in our data pipeline and identity graph, ensuring efficient handling of high-throughput, high-performance systems
• Have end to end ownership: Design, build, ship, measure and maintain our frontend and backend services
• Collaborate with the brightest software engineers team members
• Influence directly on the way billions of people discover the internet
• Develop at unimaginable scale, serving thousands of requests per second
• Work on innovative projects that are the next growth engines for Taboola 

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
• Well-being: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, and Expedia.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-MC1

#LI-Hybrid

Realize your potential by joining the leading performance-driven advertising company!  

As a Senior Backend Engineer, you’ll be instrumental in building and optimizing our core infrastructure for managing RTB requests at scale, one of the biggest revenue driven operations in the company.

To thrive in this role, you’ll need:

• 5+ years programming experience in Java or equivalent Object-Oriented language
  (preferably Java 8+Spring)
• Production systems understanding (system architecture of web products)
• Fearlessness to dive into what you don't know
• Passion for solving problems, and working very close to the business
• Experience with SQL and No-SQL
• BSc in computer science or equivalent
• Willing to work intensively to gain fast results in an unknown field
• Product driven
• A pragmatic attitude toward decision-making (avoiding analysis paralysis)
• Strong analytical skills  

Bonus points if you have:

• Experience developing large scale distributed systems
• Experienced with Kafka/docker/k8s
• Deep understanding with web systems (API / REST / NGINX)
• Experience with SQL and NoSQL (mysql / Vertica / Cassandra)
• Experience in Big Data tools (BQ / zeppelin etc)
• Knowledge in algorithms, data-mining and machine learning

How you’ll make an impact:

As a Senior Backend Engineer, you’ll bring value by:

• Develop one of the largest real time big data operation in the world to support over 40TB of new data every day
• Have end to end ownership: Design, build, ship, measure and maintain our frontend and backend services
• Collaborate with the brightest software engineers team members
• Influence directly on the way billions of people discover the internet
• Develop at unimaginable scale, serving hundreds of thousands of requests per second
• Work on innovative projects that are the next growth engines for Taboola

Here are some of the things software developers in our group did in the last several months:

• A unique data pipeline for managing RTB requests at scale
• An algorithmic model to predict if a given Real-Time impression is valuable to Taboola
• A smart gateway that ingests hundreds of thousands of requests per second for a single instance 
• An A/B tests system to explore variations and experiments 
• And many more...

Our Tech Stack:
Java, Spark, Kafka, Hadoop, Cassandra, Vertica, MySQL, HDFS, BigQuery, Docker, Linux, Kubernetes, Prometheus, Grafana, Airflow

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
• Well-being: Enjoy location-specific perks.
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.Work with some of the biggest names:
• We work with some of the biggest names in the business. Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.-

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-Hybrid

#LI-MC1

Realize your potential by joining the leading performance-driven advertising company!  

As a Software Engineer on the newly formed Self-Service team in our Tel Aviv Office, you’ll play a vital role in establishing one of Taboola’s newest and strategic growth domains- empowering advertisers and partners to independently build, optimize, and scale their campaigns. 

Our Tech Stack: Java, JS, TS, Python, Reactive, Spark, Kafka, Hadoop, Cassandra, Vertica, ES, MySQL, Memcached, HDFS, Iceberg, BigQuery, Druid, Kusto, Docker, K8S, Linux, Prometheus, Grafana, Airflow…

Gen AI: Cursor, Claude, GitHub Copilot, Langfuse and much more

 To thrive in this role, you'll need:

• 3+ years of experience in object-oriented programming, infrastructure development, and production-grade systems, with strong end-to-end ownership.
• Strong big data expertise, including hands-on work with diverse databases, analytical thinking, and a passion for scaling challenges.
• Proven technical leadership, with experience mentoring engineers and collaborating effectively across teams.
  Product- and business-driven mindset, with high self-learning abilities and confidence to dive into new domains.
• High-impact execution, demonstrating adaptability, accountability, and the drive to deliver results in complex environments.

Bonus points if you have:

Proven experience building and scaling large-scale distributed systems, including Web/JavaScript technologies, Kafka, Docker, and Kubernetes.Strong background in big data platforms, with hands-on experience in NoSQL and distributed databases (Vertica, Cassandra, Elasticsearch, BigQuery), as well as Spark and HDFS.

How you’ll make an impact:

• Design, develop, and address scalability challenges in our data pipeline and identity graph, ensuring efficient handling of high-throughput, high-performance systems
• Have end to end ownership: Design, build, ship, measure and maintain our frontend and backend services
• Collaborate with the brightest software engineers team members
• Influence directly on the way billions of people discover the internet
• Develop at unimaginable scale, serving thousands of requests per second
• Work on innovative projects that are the next growth engines for Taboola 

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
• Well-being: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, and Expedia.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-DN1

#LI-Hybrid

Realize your potential by joining the leading performance-driven advertising company!  

As a Senior Software Engineer on the Infrastructure Engineering R&D group, you’ll play a vital role in developing one of the largest real time high scale operation in the world to support over 1.4B users, >500,000 requests / second, 140TB of new data every day.

To thrive in this role, you'll need:

• Experience developing large scale distributed systems
• Deep understanding of strong Computer Science fundamentals: object-oriented design, data structures systems, applications programming and multi threading programming
• 5+ years programming experience in Java or equivalent Object-Oriented language
• Production systems understanding
• Experience with SQL and No-SQL
• Highly Proficient in Linux environment
• Proven ability to work effectively across multiple teams
• BS.c in computer science or equivalent experience

Bonus points if you have:

• Experience in Big Data tools
• Knowledge in algorithms, data-mining and machine learning

How you’ll make an impact:

As a Senior Software Engineer, you’ll bring value by:

• Develop one of the largest real time high scale operation in the world to support over 1.4B users, >500,000 requests / second, 140TB of new data every day
• Have end to end ownership: Design, develop, deploy, measure and maintain our services
• Solve production issues in the framework code
• Collaborate with the brightest software engineers team members
• Influence directly on the way billions of people discover the internet

Here are some of the things software devs in our group did in the last several months:

• Rewrote part of our recommendation servers to reduce serving time p999 by >40%
• Rolled out custom Cassandra compaction strategy
• Created and improved Taboola’s Kafka consumer designed for very high scale
• Developed a brand new Taboola metrics pipeline, ingesting over 100B metric messages per day
• Anomaly detection engine for application metrics
• Rolled out a new custom home-built Taboola authentication service
• Many more things...

Our Tech Stack:

Java, Spark, Kafka, Hadoop, Cassandra, Vertica, MySQL, HDFS, BigQuery, Docker, Linux, Kubernetes, Prometheus, Metrictank, Grafana, Airflow, Redis

This is us!

You will work with:

• The people who wrote the first lines of code in Taboola (and many many more lines after that)
• The proud owner of a beer brewery
• People who are deeply familiar with the code of Kafka, Cassandra, AirFlow, Prometheus and Spark (including committing back)
• Famous internal Taboola hackathon winners
• The designers and implementers of a offheap, zero GC, Custom Kafka Producer which cumulatively sends ~100B messages / day

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
• Well-being: Enjoy comprehensive benefits (health, etc.), a fully stocked kitchen, and location-specific perks (gym partnerships, parking).
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: We work with some of the biggest names in the business. Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.-

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-Hybrid

#LI-SS1

Realize your potential by joining the leading performance-driven advertising company!  

As a Software Engineer on the newly formed Self-Service team in our Tel Aviv Office, you’ll play a vital role in establishing one of Taboola’s newest and strategic growth domains- empowering advertisers and partners to independently build, optimize, and scale their campaigns. 

Our Tech Stack: Java, JS, TS, Python, Reactive, Spark, Kafka, Hadoop, Cassandra, Vertica, ES, MySQL, Memcached, HDFS, Iceberg, BigQuery, Druid, Kusto, Docker, K8S, Linux, Prometheus, Grafana, Airflow…

Gen AI: Cursor, Claude, GitHub Copilot, Langfuse and much more

 To thrive in this role, you'll need:

• 3+ years of experience in object-oriented programming, infrastructure development, and production-grade systems, with strong end-to-end ownership.
• Strong big data expertise, including hands-on work with diverse databases, analytical thinking, and a passion for scaling challenges.
• Proven technical leadership, with experience mentoring engineers and collaborating effectively across teams.
  Product- and business-driven mindset, with high self-learning abilities and confidence to dive into new domains.
• High-impact execution, demonstrating adaptability, accountability, and the drive to deliver results in complex environments.

Bonus points if you have:

Proven experience building and scaling large-scale distributed systems, including Web/JavaScript technologies, Kafka, Docker, and Kubernetes.Strong background in big data platforms, with hands-on experience in NoSQL and distributed databases (Vertica, Cassandra, Elasticsearch, BigQuery), as well as Spark and HDFS.

How you’ll make an impact:

• Design, develop, and address scalability challenges in our data pipeline and identity graph, ensuring efficient handling of high-throughput, high-performance systems
• Have end to end ownership: Design, build, ship, measure and maintain our frontend and backend services
• Collaborate with the brightest software engineers team members
• Influence directly on the way billions of people discover the internet
• Develop at unimaginable scale, serving thousands of requests per second
• Work on innovative projects that are the next growth engines for Taboola 

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
• Well-being: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, and Expedia.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-DN1

#LI-Hybrid

ABOUT PLACER.AI: 

Placer.ai is transforming how organizations understand the physical world. Our location analytics platform provides unprecedented visibility into locations, markets, and consumer behavior. Placer empowers thousands of customers—from Fortune 500 companies, to local governments and nonprofits— to make smarter, data-driven decisions.

What sets us apart? We've built the most advanced location intelligence platform in the market while maintaining an uncompromising commitment to privacy, proving that powerful analytics and responsible data practices can coexist.

Our growth reflects the market's demand: we reached $100M in annual recurring revenue within just 6 years of launching, achieved unicorn status with a $1B+ valuation in 2022, and continue to expand rapidly as one of North America's fastest-growing tech companies. We're creating a $100B+ market opportunity, and we're just getting started.

Named one of Forbes America's Best Startup Employers and a Deloitte Technology Fast 500 company, we're building a culture where innovation thrives, collaboration is the norm, and every team member contributes to reshaping how the world understands location.

SUMMARY:

We’re looking for a Senior Backend Engineer to join Placer.ai’s core engineering group and build the systems behind one of the world’s largest location-analytics platforms.

In this role, you’ll work on backend services that process and serve billions of data points, power ML-driven insights, and operate at high scale and high reliability. If you’re motivated by hard technical challenges, modern infrastructure, and collaborating with strong engineers, this role is built for you.

RESPONSIBILITIES:

• Design, build, and evolve large-scale, distributed backend systems that power Placer.ai’s data and AI products
• Own services end-to-end — from architecture and design to production, monitoring, and continuous improvement
• Drive performance, scalability, and reliability, using data and metrics to guide decisions
• Build infrastructure and data pipelines that support machine-learning, analytics, and real-time use cases
• Partner closely with Product, Data Science, and Analytics to turn complex data into impactful product features
• Raise the engineering bar through code reviews, design discussions, and technical mentorship

REQUIREMENTS:

• 8+ years of backend engineering experience in high-scale B2B SaaS or data-driven products
• Proven track record building and maintaining production-grade distributed systems
• Strong proficiency in one or more of: Python, Java, Go, Node.js, .NET — with a bias toward Python
• Solid engineering fundamentals: system design, data structures, APIs, testing, and observability
• Hands-on experience with data-intensive systems and complex data pipelines
• BSc in Computer Science or equivalent practical experience

AI Fluency:

• A genuine early adopter of emerging AI technologies — continuously explores new tools and paradigms, integrates them into practice ahead of the curve, and actively drives that culture within their team
• Applies AI tooling to elevate engineering quality: accelerating development cycles, improving code quality, automating repetitive work, and pushing the boundaries of what the team ships
• Raises the bar around them: inspires and challenges peers to think differently about how AI can change the way they build

OTHER REQUIREMENTS: 

• Deep experience with Python and MongoDB
• Experience with Google Cloud data technologies (BigQuery, Bigtable)
• Hands-on with Docker, Kubernetes, and Infrastructure as Code
• Exposure to AI/ML-adjacent systems: data pipelines, feature stores, model serving, or analytics platforms
• Experience integrating or building on top of LLM APIs or AI services
• Familiarity with frontend frameworks or full-stack collaboration

WHY JOIN PLACER.AI? 

• Join a rocketship! We are pioneers of a new market that we are creating
• Take a central and critical role at Placer.ai
• Work with, and learn from, top-notch talent
• Competitive salary
• Excellent benefits
• Hybrid

NOTEWORTHY LINKS TO LEARN MORE ABOUT PLACER 

• Placer.ai's $100M round C funding (unicorn valuation!)
• See our data in action at The Anchor
• Placer.ai in the news
• Video: About Placer for Commercial Real Estate
• Video Playlist: Placer Brand & Explainer Videos

Placer.ai is committed to maintaining a drug-free workplace and promoting a safe, healthy working environment for all employees.

Placer.ai is an equal opportunity employer and has a global remote workforce. Placer.ai’s applicants are considered solely based on their qualifications, without regard to an applicant’s disability or need for accommodation. Any Placer.ai applicant who requires reasonable accommodations during the application process should contact Placer.ai’s Human Resources Department to make the need for an accommodation known.

#LI-AC1

What Is The Role:

As part of the Platform Engineering department, the Traffic team is crafting, building, and improving the multi-cloud platform at scale for Elastic Cloud Hosted and Serverless. We grow and mature our distributed network services and solutions for multiple cloud service provider platforms. We are built on Kubernetes, Go/Scala, and custom orchestration architectures. In your daily life with us, you will participate in coding, innovating technical designs, crafting solutions, improving resilience, and prioritizing security, bug fixes, and features. For example, Debugging Azure Networking for Elastic Cloud Serverless is part of our efforts, and we want your experience to contribute to a truly exceptional customer experience!

What You Will Be Doing:

• Taking an engineering approach in leading technical initiatives for automating network engineering efforts to guarantee the reliability of the global Elastic infrastructure. .
• Growing our global Platform infrastructure to meet the increasing scaling demands by developing and maintaining software, codebases, tooling and automations.
• Collaborating in an environment with an inclusive approach, and focusing on operational perfection which uplifts others.
• Preventing repeated customer impact in response to major incidents and prioritised problem management. Our on call rotation is spread well, and we address complex customer concerns too.

What You Bring:

• 10+ years in Software Engineering with product success in delivering Cloud network solutions. You collaborate with engineers as an authority in identifying, implementing and delivering solutions. Experience in public cloud, Go and managed Kubernetes services is advantageous.
• Success and lessons of experiences from striving for 'progress not perfection' in the name of Platform reliability. We want to hear about your customer first approach in solving operational problems for both today and the future.
• Passion for developing solutions that involve inclusive communication methods to grow and strengthen partner and team relationships. Examples of working in distributed teams or working remotely is desirable.

Bonus Points:

You don't need to have all of these items, but these represent the types of work you will do as a Software Engineer at Elastic.

• You have designed and built a SaaS product in a public cloud ideally built using Infrastructure-as-Code tooling such as Crossplane or Terraform
• You have built Kubernetes-at-scale infrastructure, ideally across multiple cloud providers, and the vital automation to support it.
• You have written product features or functions in Golang or other programming languages.
• You have worked with containerized services (such as Docker.)
• You have proven results in leading and improving cross-team engineering initiatives.
• You have experience in system administration with professional skills in Linux on distributed systems at scale.
• You have diagnosed or designed, implemented and created solutions with the Elastic Stack.
• You are experienced in a self-organizing and sharing in a globally distributed team environment.
• You strengthen team members in bringing out the best of each other by uplifting others with coaching and mentoring.

• 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.

As a DevOps Infrastructure Engineer, you will operate and evolve Payoneer’s mission‑critical on‑premise and hybrid infrastructure that powers our financial services. You will be responsible for running secure, highly available VMware‑based data center environments, integrating them with public cloud platforms, and providing reliable infrastructure services to R&D, DataOps, and DevOps teams in a regulated FinTech environment.
This role combines hands‑on operations, automation, monitoring, infrastructure hardening, and close collaboration with security and application teams to ensure our platforms remain resilient, compliant, and ready to scale.

While titled DevOps, this is an infrastructure‑focused role, with an emphasis on operating and evolving on‑prem and hybrid platforms rather than application‑level CI/CD pipelines.

What you'll do:

We’re looking for a team player with excellent interpersonal skills & service oriented. Creative & out of the box thinker. An autodidact, quick, effective and versatile who’s able to change directions in midstream. Independent & Accountable.

As a Senior DevSecOps Engineer at Payoneer, you’ll play a critical role in embedding security throughout the software development lifecycle (SDLC). You’ll help design, implement, and maintain security controls and automations across our CI/CD pipelines, infrastructure, and application stack.

What you'll do:

• Integrate and maintain security tools across the CI/CD pipeline:
  • SAST (e.g., SonarQube)
  • SCA (Software Composition Analysis) / Dependency Scanning (e.g., Snyk, Trivy, GitHub Dependabot)
  • Secret Detection (e.g., Gitleaks, HashiCorp Vault)
  • Container/Image Scanning (e.g., Aqua, Prisma Cloud, Trivy)
• Drive security automation and enforcement for:
  • Infrastructure as Code (e.g., Terraform)
  • Configuration Management (e.g., Ansible, Chef)
  • GitOps workflows (e.g., ArgoCD)
  • Embed security guardrails and best practices across the SDLC
  • Automate compliance checks (e.g., OWASP Top 10, CIS Benchmarks) into development workflows
  • Integrate with observability and monitoring systems (e.g., Prometheus, Grafana, ELK, Coralogix)
• Collaborate cross-functionally with Product, QA, Development, and IT/Ops teams to continuously improve the security posture
• Participate in on-call rotations for production systems as needed

Who you are:

• At least 3 years’ experience as DevOps/DevSecOps/Security Engineer
• A minimum of 3 years of exposure running production workloads (AWS, Azure or GCP)
• Experience with CI/CD tools and source control management tools (e.g., Git, Azure DevOps, SonarQube, Artifactory etc...)
• Proven experience securing CI/CD pipelines
• Expertise in SCA, SAST, secret scanning, and container security
• Hands-on experience with Kubernetes, Docker, and GitOps tooling (ArgoCD or Flux)
• Proven Scripting capabilities: (e.g. PowerShell/Bash/Python)
• Experience with logging, SIEM, and monitoring platforms
• Experience with IAM, secrets management, and compliance frameworks (SOC2, ISO, etc.)
• High level Linux OS expertise
• Strong troubleshooting skills
• Proactive by nature; internal drive for excellence and improvement
• BS degree in computer science, computer engineering, relevant technical discipline or equivalent practical experienc

Advantage:

• Experience with relational and non-relational databases (Oracle, PostgreSQL, SQL, MongoDB) Experience with software development and development frameworks
• Experience with event streaming and messaging platforms such as Kafka, RabbitMQ
• Knowledge and understanding Storage and Networking

#LI-AG2

Who we are

DoubleVerify is an Israeli-founded big data analytics company (Stock: NYSE: DV). We track and analyze tens of billions of ads every day for the biggest brands in the world.
We operate at a massive scale, handling over 100B events per day and over 1M RPS at peak, we process events in real-time at low latencies (ms) and analyze over 2.5M video years every day. We verify that all ads are fraud free, appear next to appropriate content, appear to people in the right geography and measure the viewability and user’s engagement throughout the ad’s lifecycle. 

We are global, with HQ in NYC and R&D centers in Tel Aviv, New York, Finland, Berlin, Belgium and San Diego. We work in a fast-paced environment and have a lot of challenges to solve. If you like to work in a huge scale environment and want to help us build products that have a huge impact on the industry, and the web - then your place is with us.

What will you do

You will join a team of experienced engineers and help them in developing our innovative Classification products.

You will lead projects by architecting, designing and implementing solutions that will impact the core components of our system.

You’ll develop new and awesome features while leveraging cloud native technology stack, do continuous improvements of our development process by adapting new technologies, and using them to solve product and engineering challenges while raising the bar of code quality and standards.

Who you are

• 5+ years of experience coding in an industry-standard language such as Scala, Java, Rust, Closure, Kotlin, Go etc.
• Deep understanding of Computer Science fundamentals: object-oriented design, functional programming, data structures, multi-threading and distributed systems.
• Experience with in-memory distributed cache such as Aerospike or Redis and messaging systems such as Apache Kafka, etc.
• Experience working with Docker, Kubernetes and designing scalable microservices architecture.
• Experience in working with SQL (MySQL, PostgreSQL) and Columnar/NoSQL Databases such as (BigQuery, Vertica, Snowflake, Couchbase, Cassandra, etc.).
• Experience working in a BigData environment and building scalable distributed systems with stream processing technologies such as Akka Streams, Kafka Streams/Spark/Flink.
• Experience working with cloud providers such as GCP or AWS
• BSc in Computer Science or equivalent experience.
• Experience with Agile development, CI/CD pipelines (Git ,GitLab or Jenkins) and coding for automated testing.
• A versatile developer with a “getting-things-done” attitude.

Nice to have

• Previous experience with online advertising technologies is a big plus.
• Familiarity with the cloud-native computing foundation.

#Hybrid#

What is this opportunity?

At Eleos, we build a behavioral health CareOps automation platform that transforms therapy conversations into structured insights and clinical documentation. Our system uses advanced ML and LLM technologies to improve care quality, support therapists’ daily workflows, and reduce documentation time by over 50%.

As a Senior ML Infrastructure Engineer, you will design and build the infrastructure that powers our ML and LLM systems in production. You will develop scalable pipelines, systems, and tools that enable data scientists and AI teams to efficiently develop, test, and deploy models.
Working closely with data scientists, engineers, and product teams, you will ensure our ML capabilities are reliable, scalable, and production-ready—helping bring cutting-edge AI to improve mental health care.
This is a unique opportunity to join a startup with a real impact on thousands of people’s wellbeing and mental health, applying cutting-edge AI technologies to solve meaningful human problems.

How will you contribute?

• Design and build infrastructure and backend services supporting ML and LLM systems
  
  
• Develop and maintain ML training and deployment pipelines
  
  
• Build tooling that enables model experimentation, versioning, and reproducibility
  
  
• Implement CI/CD pipelines for ML workflows and model deployment
  
  
• Support LLM deployment, prompt management, and optimization pipelines
  
  
• Improve reliability, monitoring, and observability of ML systems in production
  
  
• Collaborate with data scientists to productionize models and research prototypes
  
• Ensure secure and compliant handling of sensitive healthcare data
  
  

What qualifications and skills will help you be successful?

• 5+ years of industry experience in ML Infrastructure, Backend Engineering, or related fields
  
  
• Strong Python experience with production-grade systems
  
  
• Experience working with cloud platforms (AWS, GCP, or Azure)
  
  
• Experience with containerization technologies (Docker, Kubernetes)
  
  
• Experience building CI/CD pipelines for ML systems or backend services
  
  
• Experience supporting LLM deployment or ML models in production
  
  
• Familiarity with model versioning, experiment tracking, and ML tooling
  
  

Some nice to haves are:

• Experience with prompt engineering and prompt management
  
  
• Experience with data versioning tools (DVC, Pachyderm, etc.)
  
  
• Experience with MLOps platforms (MLflow, Kubeflow, etc.)
  
  

Join Apiiro — Design, develop, and deliver secure software faster

Apiiro is a fast-growing startup at the forefront of the Application Security field. Our cutting-edge platform is designed to help development teams build secure software quickly, enabling them to move faster while managing risks. As pioneers in the app-sec space, we’re shaping the future of secure software development. If you're looking for an exciting opportunity to make a significant impact and grow with a passionate team, Apiiro is the place to be.

About You: The Solution-Oriented Innovator

• Technical Depth & Ownership: With 5+ years in backend or server-side development, you’re experienced in building complex systems from scratch and driving them through every phase, from architecture to deployment.
• Creative Problem Solver: You thrive on tackling tough challenges with fresh ideas, devising clever solutions for new, unfamiliar problems.
• Collaborative by Nature: You enjoy working in fast-paced, collaborative environments, bringing out the best in yourself and others as part of a talented team.
• Bonus Skills: Background in algorithm development, ML models, Docker, Kubernetes, cloud technologies, Infrastructure as Code (IaC), DevOps, and CI/CD tools.
• Academic Background: B.Sc. in Computer Science or equivalent experience.

Your Role: Drive, Build, and Shape

• Build Scalable Solutions: Develop a robust, scalable system using a mix of languages, frameworks, and machine learning models. You’ll take full ownership of features, guiding them from idea to live product.
• Customer-Centric Development: Collaborate directly with customers to understand their needs and integrate valuable insights into your work.
• Cross-Disciplinary Innovation: Engage in initiatives across various tech domains — from DevOps and infrastructure to data engineering and full-stack development — expanding your impact company-wide.

What We Stand For at Apiiro

OneTeam, One Mission means we’re all in it together—tearing down walls, listening to every voice, and working as one to create real value for our customers. 

Striving for Greatness drives us to keep pushing forward, aiming higher, and staying resilient. We don’t believe in “good enough.”

Own It, we take pride in what we do. We’re all about accountability, trust, and transparency, so we’re empowered to make a real impact. 

Customer Centric means our customers are at the heart of everything. We go beyond just meeting their needs; we build solutions that truly make a difference.

These values keep us motivated to deliver the best for our customers and each other, every single day.

-----------------------------------------------------------------------------------------------------------------------------------------------

If you're ready to join a team that's dedicated to transforming the future of app security, we’d love to hear from you. Apply now and let’s build the next generation of secure software together!

About the Role

Join the Blockchain Backend Infrastructure team and take a position in building and maintaining Fireblocks's blockchain management platform. You'll be responsible for building cutting-edge blockchain infrastructure while implementing high-throughput, real-time scalable software solutions.

As a Blockchain Engineer, you will be instrumental in the research and integration of blockchain technologies into the Fireblocks platform. Your responsibilities will include collaborating closely with foundations and developers to gain a deep understanding of blockchain protocols and on-chain projects, then applying that knowledge to implement new features within the platform.

You will focus equally on external protocol integration patterns and internal wallet infrastructure. This role serves as a technical bridge between raw on-chain capabilities and the wallet features delivered to our customers.

What You'll Do

• Implement modern backend applications and infrastructure in a microservices architecture, using the latest technologies and development practices.
• Deep dive into the latest blockchain technology and become an expert in the fundamentals, protocols, and features of the chains we support.
• Collaborate effectively with developers, engineers, and other roles while demonstrating strong independent problem-solving abilities.
• Contribute to production reliability through on-call participation, incident response, and post-incident follow-ups.

What You'll Bring

• 5+ years of backend development experience in modern languages (Go, Python, JavaScript/TypeScript)
• 3+ years of hands-on blockchain development experience
• Experience working on high-scale distributed systems
• Understanding of microservices architecture and API design
• Knowledge of consensus mechanisms, cryptographic primitives, and distributed systems
• Strong problem-solving skills and attention to detail
• Strong verbal and written communication skills and a collaborative mindset

Preferred

• Experience building blockchain solutions for enterprise or institutional use cases
• Understanding of security best practices for smart contracts and blockchain systems
• Demonstrated ability to apply AI tools in day-to-day development
• Understanding of MPC, multi-signature wallets, or other advanced cryptographic techniques
• Bachelor's degree in Computer Science, Engineering, or a related field
• Experience with Docker, Kubernetes, and Helm

What We’re About

Apiiro is a fast-growing startup at the forefront of the Application Security field. Our cutting-edge platform is designed to help development teams build secure software quickly, enabling them to move faster while managing risks. As pioneers in the app-sec space, we’re shaping the future of secure software development. If you're looking for an exciting opportunity to make a significant impact and grow with a passionate team, Apiiro is the place to be.

What You’re About

• You have over 5 years or of experience in DevOps, CI/CD methodologies, tools, and environment. You also own a strong knowledge of agile methodology and continuous integration and delivery.
• You are experienced with docker / kubernetes, loud environment development, and IaC technologies. Experienced with Kubernetes environment troubleshooting.
• You are well capable of orchestrating tools for automated deployments, solving problems on-the-go with creative and innovative solutions, even if it's the first time you meet them. You are capable of owning complete features/products.
• You are passionate about working in a fast-paced, dynamic startup environment, and you enjoy collaborating with others and being part of a strong team.
• Programming experience is an advantage.
• Preferably, you have a B.Sc. in Computer Science or equivalent.

What You Will Do

• You will be responsible for the design, implementation, and support of infrastructure across cloud and on-prem solutions. You will also automate and streamline operations and processes to rapidly release reliable applications faster and more frequently.
• You will build and maintain tools for deployment and testing in stable and scalable production environments, and also participate in product design reviews to provide input on functional requirements, product designs, schedules, or potential project risks.
• Maintaining close interaction with our customers is required to deeply understand and address their needs, this will be a significant part of your role.

What We Stand For at Apiiro

OneTeam, One Mission means we’re all in it together - tearing down walls, listening to every voice, and working as one to create real value for our customers.

Striving for Greatness drives us to keep pushing forward, aiming higher, and staying resilient. We don’t believe in “good enough.”

Own It, we take pride in what we do. We’re all about accountability, trust, and transparency, so we’re empowered to make a real impact.

Customer Centric means our customers are at the heart of everything. We go beyond just meeting their needs; we build solutions that truly make a difference.

These values keep us motivated to deliver the best for our customers and each other, every single day.

If you're ready to join a team that's dedicated to transforming the future of app security, we’d love to hear from you. Apply now and let’s build the next generation of secure software together!

Responsibilities

  - Develop and maintain systems that can process complex requests within a few milliseconds
  - Tackle advanced engineering challenges in multiple languages and environments
  - Own every product that the team manages, from ideation and planning all the way to production and monitoring
  - Teach and learn — we love to inspire and be inspired, and make sure that each team member has their place to grow and excel
  - Work both autonomously and collaboratively with the team and other Optimove teams

  Requirements

  - 3-5 years of experience in backend development
  - B.Sc. in Computer Science or equivalent
  - Hands-on experience with one or more of the following programming languages: NodeJS / Python
  - Experience working with SQL and NoSQL databases
  - Experience with cloud development, microservices, and serverless architecture
  - Working with high scale using Docker and Kubernetes
  - Experience with AI-powered development tools such as Claude / Cursor

  Advantages

  - Ability to work in a multi-language environment
  - Hands-on experience with one or more of the following technologies: Airflow, Dataflow, and Terraform
  - Hands-on experience with multiple services on Google Cloud Platform

Who We Are

DoubleVerify is an Israeli-founded big data analytics company (Stock: NYSE: DV). We track and analyze tens of billions of ads every day for the biggest brands in the world.
We operate at a massive scale, handling over 100B events per day and over 1M RPS at peak, we process events in real-time at low latencies (ms) and analyze over 2.5M video years every day. We verify that all ads are fraud free, appear next to appropriate content, appear to people in the right geography and measure the viewability and user’s engagement throughout the ad’s lifecycle. 

We are global, with HQ in NYC and R&D centers in Tel Aviv, New York, Finland, Berlin, Belgium and San Diego. We work in a fast-paced environment and have a lot of challenges to solve. If you like to work in a huge scale environment and want to help us build products that have a huge impact on the industry, and the web - then your place is with us.

What You Will Do

We're looking for a talented Software Engineer with enthusiasm for AI/GenAI to join our innovation-focused team building agentic AI systems autonomous, reasoning-driven software agents capable of orchestrating complex tasks across tools, APIs, and data sources.

You'll design and build scalable backend systems that integrate large language models (LLMs) and other AI technologies into production-grade services. This role blends backend engineering, AI integration, and rapid prototyping, with room to learn, experiment, and deliver impactful, scalable solutions.

• Architect and implement distributed services that power AI-driven applications.
• Implement multi-step reasoning pipelines, retrieval-augmented generation (RAG), and domain-specific AI capabilities.
• Build robust APIs, plugins, and integrations enabling AI agents to interact with external systems and data sources.
• Create and refine proof-of-concepts, validating ideas quickly before scaling to production.
• Implement monitoring, evaluation, and logging systems to track AI-powered features in production.
• Work closely with product managers, designers, data scientists, and AI engineers to deliver user-focused solutions.
• Stay curious about emerging AI frameworks, tools, and best practices to improve reasoning, planning, and autonomy in backend services.

Who You Are

• Backend Specialist with a Passion for AI/GenAI, strong systems skills, and eagerness to grow in AI.
• 5+ years in Python /Java/Scala/C#/ Go
• Familiarity with LLM frameworks (LangChain, LangGraph, Haystack, etc.) or willingness to learn.
• Basic understanding of prompt engineering, vector databases, and retrieval-augmented generation (RAG).
• Solid knowledge of cloud infrastructure (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• Proven track record in building scalable, distributed systems.
• Strong problem-solving, ownership, and collaboration skills.

Nice-to-Have Skills

•  Exposure to reinforcement learning, multi-agent systems, or autonomous planning.
• Interest in ML Ops, AI model deployment, and scaling AI workloads.
•  Experience with data engineering for AI (ETL pipelines, feature stores, embeddings).
•  Any experience building AI-powered platforms or agent-based systems.

#Hybrid#

About the role

The Senior DevOps Engineer will be responsible for enhancing and scaling the infrastructure powering Rhino’s Federated Computing Platform (Rhino FCP). This distributed infrastructure supports cutting-edge AI/ML research and development across highly regulated industries, including healthcare, finance, and life sciences, by enabling secure, privacy-preserving data collaboration around the world.

You will oversee a fleet of installations deployed behind the firewalls of partner organizations, alongside a centralized cloud orchestration layer and advanced CI/CD pipelines, monitoring systems, and deployment tooling. You'll collaborate closely with backend engineers, as many infrastructure components are tightly integrated with the FCP’s core capabilities.

This role involves end-to-end ownership: from architecture and design to implementation and support. It’s ideal for someone who thrives in fast-paced environments, loves working with modern infrastructure, and is excited to drive innovation in secure, distributed AI platforms.

Key Responsibilities

• End-to-End Infrastructure Ownership: Take full ownership of infrastructure components - from initial ideation and architectural design through implementation and automated deployment, across diverse technologies and geographically distributed environments.
• Scalability and Enhancement: Continuously enhance and scale the platform’s underlying infrastructure by implementing updates, driving performance improvements, and integrating new platform capabilities to support product growth.
• Maximize Development Velocity: Design, improve, and maintain DevOps tooling and workflows (CI/CD pipelines, configuration management) to significantly boost development velocity and streamline the engineering process.
• Distributed Deployment Management: Oversee and manage all platform deployments, ensuring consistency and reliability across local installations at client sites and within the centralized cloud orchestration layer.
• Product Development: Collaborate closely with Backend and Frontend Engineering teams to co-develop platform features that have significant infrastructure dependencies, ensuring new capabilities are designed and implemented with built-in scalability and operational tooling.
• Establish Foundational Quality: Ensure observability, scalability, and security are deeply integrated and prioritized across the design, implementation, and operation of all infrastructure layers.

About the candidate

Candidates should have 5+ years of professional experience with a mix of the experiences described below:

• 5+ years of experience in DevOps engineering with clouds, GCP/AWS preferred
• 5+ years of experience designing and developing infrastructure components with Kubernetes (Including solid understanding of CRD on different Kubernetes platforms)
• Extensive experience with Linux, Docker/ContainerD
• 5+ years of experience with Python
• 5+ years of experience working with IaC and CM tools (Terraform, Terragrunt, Ansible)
• 5+ years of experience implementing monitoring solutions (Prometheus/VictoriaMetrics, Grafana, GoAlert, etc) and logging systems (VictoriaLogs or similar, Filebeat/FluentBit/Vector, etc.)
• 3+ years of experience with CI/CD tools like GitHub Actions
• 3+ years of experience with GitOps tools (ArgoCD)
• Deep understanding of networking and experience developing infrastructure with non-trivial networking components (e.g. WireGuard VPN, NGINX passthrough, mTLS, gRPC, confidential computing environments, etc)
• Experience working in a startup environment
• Advantage for experience developing AI/ML-based products or platforms
• Advantage for experience developing distributed systems
• Advantage for experience developing products with a focus on data security and privacy (e.g., PII data protection)
• The role is open to candidates who are based in Israel (hybrid work environment)

About The Role:

We’re hiring a Senior ML Software Engineer to build and own the foundations that enable our data science teams to ship ML and GenAI systems to production. You’ll develop core capabilities such as data/feature pipelines, training and evaluation infrastructure, and model/agent serving.

What You’ll Do

• Build and own backend systems and APIs that support end-to-end ML workflows (data → training → deploy).
• Design for performance, scalability, reliability, and cost in production ML environments.
• Develop infrastructure for LLM/agentic workflows (tool execution, retrieval, evaluation, observability).
• Partner closely with data scientists to iterate on platform capabilities and developer experience.
• Drive Innovation: Continuously evaluate and integrate emerging infrastructure technologies that can give Honeycomb’s AI platform a competitive edge.

Basic Requirements

• 5+ years in data/backend engineering. 
• Strong background in Python and experience with large-scale systems and automation.
• Strong system design and API development skills.
• Experience with containerized environments such as Docker and Kubernetes
• Strong communication skills and ability to collaborate across engineering, data science, and product teams.

Nice to Have

• Production experience with vision models.
• Experience architecting and deploying production ML/AI systems at scale
• GCP experience (especially BigQuery).
• Experience with pipeline orchestration frameworks (Airflow, Prefect or Dagster)

The role, in a nutshell:

We’re looking for highly motivated sales executives who have strong market knowledge and enjoy building relationships with key decision makers to evangelize building secure and reliable software. Our sales team walks a mile in their customers shoes and wants our customers and prospects to see the immense value and expertise Chainguard's solutions offer.

Skills/Job Requirements:

• Define and execute sales plans for your assigned territory
• Convey value prop and product differentiators to prospects and customers
• Forecast, meet, and exceed quota
• Through a combination of inbound and outbound leads, develop and manage leads funnel
• Manage business and track opportunities through CRM and other supporting tools
• Collaborate on and improve all aspects of the sales cycle, including product, support, and sales engineering
• Understand the competitive market, being familiar with competing companies and their offerings

Candidate Background:

• 6+ years of selling SaaS/Security experience required
• Domain experience with one or more of the following strongly recommended: Compute platforms (Kubernetes, Docker, AWS, Azure, Google Cloud), DevOps Tooling, CICD platforms (Github, Gitlab, jenkins), and overall SDLC.
• Strong track record consistently overachieving sales targets within France as a region
• Ability to learn new products and create/learn processes quickly
• Competitive/Driven
• Excellent communication skills verbal and written
• Team player
• Must be willing to travel to clients to support sales relationships (if required)
• Entrepreneurial – Willing to go the extra mile, strong work ethic, resourceful.

Desired Qualifications:

• Hebrew speaker
• Based in Israel
• SaaS or Developer tools sales experience
• Startup experience
• A strong sales aptitude and fundamental understanding of the sales process
• A sound, tech-savvy business acumen and the ability to articulate a compelling value proposition in a complex and evolving business environment
• Ability to thrive in an agile environment with an ever-evolving set of solution

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

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

We are looking for a highly motivated Bioinformatics Researcher II to join our team!

As a Bioinformatics Researcher, you will design and execute analyses on Ultima sequencing data. You will join our R&D team in Israel to develop computational methods and scalable pipelines that turn raw data into clear biological insights, working at the intersection of biology, computing, and AI. 

 How You’ll Contribute

• Build and run pipelines: Design and execute analysis pipelines on sequencing data in a cloud-based environment
• Work across teams: Collaborate with lab scientists, bioinformatic scientists, data scientists, and clinical partners to define requirements, provide analysis support, and influence the direction of our scientific platform
• Develop and adapt methods: Create new algorithms and apply state-of-the-art approaches to turn high-throughput data into biological insights
• Ensure rigor: Use quantitative and computational methods to validate results and strengthen the impact of our findings

 Qualifications, Skills, Knowledge & Abilities

• MS or PhD in Computational Biology, Bioinformatics, Computer Science, or a related discipline
• 3+ years of relevant industry or academic experience in a hands-on bioinformatics role preferred
• Demonstrated experience analyzing and interpreting large-scale Next Generation Sequencing (NGS) datasets such as WGS, WES, and RNA-seq
• Expert proficiency in Python for complex data analysis and proficiency in UNIX
• A strong foundation in statistics and quantitative analyses
• Proficiency with software development best practices including  version control with Git, containerization with Docker, and unit testing
• Deep expertise in a specific area of genomics, such as somatic variant calling, structural variation, or single-cell analysis
• Hands-on experience deploying and managing bioinformatics workflows in a cloud environment (AWS/GCP) using tools such as  WDL, Nextflow or Snakemake

#LI-Hybrid

Why this role matters:

The team is responsible for multiple communication solutions across different platforms within Vonage.

We are currently in the process of building our next huge project. We’re creating the CHAT API solution, adding the ability to offer a complete chat capability that contains team messaging, SMS, mms, WhatsApp, email and Facebook domains into Vonage platform. The CHAT API is going to be used across the entire organization in various different products.

The team is working end to end on all aspects of the product - from UI to Backend and on maintaining the stack.

Our team is more than just colleagues; we're a community that thrives on collaboration, creativity, and, most importantly, having a good time together.

Your key responsibilities:

• Working on end-to-end projects in a full-stack backend oriented role, aligned with your skills and career goals.
• Taking a key role in building and leading the team from an Architecture perspective.
• Designing, researching, developing and testing the functional and non-functional areas.
• Onboarding and mentoring new team members. 
• You will help build a reliable continuous improvement process and ensure efficient delivery at high level. 

What you'll bring

Required:

• 4+ years of experience years as a full-stack/backend software engineer with Java, Typescript, Relational/Non relational databases and cloud solutions
• Expertise working on large scale complex software systems and leading delivery cycles. 
• Experience working with multiple releases with Agile methodologies in a service or SaaS environment
• Experience with modern web frameworks such as Vue.JS / AngularJS / React
• Develop and implement strategies to improve system reliability, scalability, and performance while aligning with the company's overall goals and objectives
• Understanding of system architecture, and distributed systems
• Ability to manage a full application development cycle from requirements to production
• Great collaboration and English skills, working with other team members across the world

Experience we consider a plus:

• Bachelor's or Master's degree in Computer Science or related field
• Experience with Kafka, AWS, cloud infrastructure (K8S, EC2, ECS, Docker, Ansible) and CI/CD technologies (GitHub actions, Helm Chart, Argo CD)
• Development experience working with microservices

How you’ll benefit:

You’ll be joining a team of experienced engineers who love to share knowledge and grow together. This is a great opportunity to start your career in software development, working on real-world products that impact millions of users daily. You’ll be supported, mentored, and encouraged to contribute from day one.

Additional benefits and perks will be shared and discussed with you by the recruiter during the interview process.

#LI-JM2

• 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.

So, what’s the role all about? 

We are looking for a Senior Software Engineer to join the Data Repositories team, part of the Actimize NXT Gen PaaS/SaaS engineering group. In this role, you will design and build core backend services and data infrastructure powering Actimize’s cloud native financial crime solutions. 

Our next generation platform is being built from the ground up on AWS and will serve developers, data engineers, and data scientists at the world’s leading financial institutions. This is a unique opportunity to shape foundational platform components, influence architecture, and work with cutting-edge cloud and data technologies at scale. 

How will you make an impact?  

• Lead, design, and implement backend/datacentric components for a cloud native platform on AWS.
• Own end-to-end delivery: from requirements and architecture to coding, testing, deployment, and monitoring.
• Build robust, scalable, and observable services used across the Actimize NXT Gen ecosystem.
• Be a technical authority within the team: guide design discussions, perform code reviews, mentor developers.
• Troubleshoot complex issues across distributed systems, data stores, and microservice architectures.
• Drive innovation: evaluate new AWS services, frameworks, and data technologies; introduce improvements proactively.
• Collaborate in an Agile environment with product managers, architects, DevOps, and cross functional engineering teams.
• Ensure high availability, performance, and enterprise grade quality across components you own. 

Have you got what it takes?  

• BSc/BA in Computer Science or equivalent.
• 6+ years of experience with Java or similar JVM/OOP languages.
• Strong experience with AWS services (e.g., DynamoDB, EKS, IAM, S3, Lambda).
• Solid understanding of system architecture, design patterns, and building complex distributed systems.
• Handson experience with relational (PostgreSQL) and NoSQL databases (MongoDB, Cassandra, Redis, etc.).
• Practical experience building and maintaining production cloud services. 

You will have an advantage if you also have:

• Familiarity with data streaming or big data technologies such as Kafka, Flink, or Spark.
• Experience building microservices using Spring Boot, Docker/containers, and Kubernetes.
• Exposure to DevOps practices and tools (CI/CD pipelines, Jenkins, Terraform, Helm).
• Background in SaaS product development.
• Comfort using AI-based tools to speed up development and testing (such as GitHub co-pilot, Claude,). 

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: 10362
Reporting into: Group Lead, Engineering, Actimize 
Role Type: Individual Contributor

#LI-Hybrid

About NICE Actimize:

NICE Actimize is the largest and broadest provider of financial crime, risk and compliance solutions for regional and global financial institutions, as well as government regulators. Consistently ranked as number one in the space, NICE Actimize experts apply innovative technology to protect institutions and safeguard consumers’ and investors’ assets by identifying financial crime, preventing fraud and providing regulatory compliance.

About the team

The KMS team sits at the very heart of Fireblocks’ platform and is a pivotal team in the company.

The team is responsible for the cryptographic backbone of the platform that secures customers’ most sensitive secrets. Every transaction signing flow. Every cosigner interaction. Every key generation ceremony. Every backup and recovery mechanism. If it touches a private key - it touches this team.

The team performs mission-critical engineering at high scale, working on systems where failure is not an option, security is existential, performance matters and correctness is everything. The work is deep, challenging, and intellectually demanding - blending modern C++ systems programming with distributed backend architecture and applied cryptography.

If you enjoy solving problems where security, scale, distributed systems, and adversarial thinking collide - this is your kind of challenge.

What You'll Do:

You’ll collaborate with backend engineers, infrastructure teams and security and cryptography researchers to ship production-grade highly secure digital signing systems, balancing cryptographic rigor, performance constraints, and distributed reliability in a domain where small mistakes have massive consequences. This includes:

• Architecting, designing and implementing distributed backend services responsible for key generation, storage and lifecycle management
• Developing high-assurance signing protocols and signing flows (utilizing MPC or external signing devices)
• Building secure backup and disaster recovery mechanisms for cryptographic material
• Hardening systems against adversarial conditions and real-world attack vectors
• Optimizing performance-critical components that execute complex operations

What You'll Bring:

• 7+ years of strong backend experience in production systems
• Experience building large-scale backend or distributed systems (SaaS experience strongly preferred)
• Experience working with distributed SQL DBs
• Experience working with cloud and backend technologies (e.g. Docker, K8S, AWS, Azure, DataDog, Prometheus)
• Deep understanding of concurrency, memory management, system design, and performance optimization
• Experience working on mission-critical or high-reliability platforms
• A strong security engineering mindset

Strong Advantage

• Experience with TypeScript 
•  Experience with multiple development environments, languages and paradigms
• Experience with cryptography, MPC, threshold signatures, or key management systems
• Familiarity with blockchain technologies
• Experience with confidential computing technologies
• Experience integrating with HSMs or secure enclaves
• Background in highly security-sensitive environments

About the team

The KMS team sits at the very heart of Fireblocks’ platform and is a pivotal team in the company.

The team is responsible for the cryptographic backbone of the platform that secures customers’ most sensitive secrets. Every transaction signing flow. Every cosigner interaction. Every key generation ceremony. Every backup and recovery mechanism. If it touches a private key - it touches this team.

The team performs mission-critical engineering at high scale, working on systems where failure is not an option, security is existential, performance matters and correctness is everything. The work is deep, challenging, and intellectually demanding - blending modern C++ systems programming with distributed backend architecture and applied cryptography.

If you enjoy solving problems where security, scale, distributed systems, and adversarial thinking collide - this is your kind of challenge.

What You'll Do:

You’ll collaborate with backend engineers, infrastructure teams and security and cryptography researchers to ship production-grade highly secure digital signing systems, balancing cryptographic rigor, performance constraints, and distributed reliability in a domain where small mistakes have massive consequences. This includes:

• Architecting, designing and implementing distributed backend services responsible for key generation, storage and lifecycle management
• Developing high-assurance signing protocols and signing flows (utilizing MPC or external signing devices)
• Building easy to use, secure backup and disaster recovery mechanisms for cryptographic material
• Hardening systems against adversarial conditions and real-world attack vectors
• Optimizing performance-critical components that execute complex operations
• Providing visible value to customers by constant product optimisation
• Winning new customers with industry leading flexible deployments

What You'll Bring:

• Must-Have

  • 5+ years of strong C++ experience in production systems
  • 3+ years of experience in any other high-level programming language
  • Experience working inside an Agile R&D organization that delivers value fast
  • Experience building large-scale backend or distributed systems (SaaS experience strongly preferred)
  • Hands-on experience working with AI tools and the ability to effectively prompt, integrate, and build workflows around AI assistants
  • Critical AI judgment: the ability to challenge, validate, and override AI-generated output especially in security-sensitive or correctness-critical contexts
  • Experience working with SQL DBs
  • Experience working with cloud and backend technologies (e.g. Docker, K8S, AWS, Azure, DataDog, Prometheus)
  • Deep understanding of concurrency, memory management, system design, and performance optimization
  • Experience working on mission-critical or high-reliability platforms
  • A strong security engineering mindset
  • Proven capability to understand and take part in novel research: either in industry or by having any scientific academic degrees  
  
  

  Strong Advantage

  • Familiarity with the blockchain ecosystem
  • Familiarity with product components hosted on-premise 
  • Experience integrating with HSMs or Trusted Execution Environments (confidential computing) 
  • Background in either highly security-sensitive environments, Kernel development or cyber-security

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:

• Design, build, and scale backend systems that power Forter’s real-time decisioning and APIs.
• Own projects end-to-end - from design and implementation to production rollout and monitoring.
• Ensure systems are low-latency, fault-tolerant, and high-throughput across distributed environments.
• Enhance observability, reliability, and developer experience through strong operational and tooling practices.
• Collaborate with Product, analysts, data scientists, and infrastructure teams to drive innovation across Forter’s decision ecosystem.
• Participate in technical discussions and customer interactions, providing expertise and clear communication when supporting enterprise integrations.

What you'll need:

• 6+ 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.

About Us

PhaseV (HQ in Boston, R&D in Tel Aviv) is a cutting-edge startup, pushing innovation in the drug development process to bring new treatments to more patients, in a more efficient and precise way. Leveraging the power of advanced causal inference and pushing the boundaries of machine learning, PhaseV detects hidden signals in clinical data and extracts actionable insights for planning the optimal trial. The company's proprietary ML-based platform for adaptive clinical trial design and closed-loop execution enables sponsors to easily and quickly unlock the potential of adaptive clinical trials, reveal the optimal adaptive design to meet their trial objectives and execute more efficient, more precise, and more successful clinical trials. Collaborating with 7 of the top pharmaceutical companies, as well as multiple CROs and biotech, we are poised to make a significant impact on how drugs are developed and brought to market.

About the Role

We are looking for a hands-on, experienced QA Engineer  to join our team and take ownership of the company’s engineering testing. This is a critical role for someone who thrives in a fast-paced startup environment and is eager to help scale our Engineering infrastructure while ensuring our product excellence.
As a System QA, you will be responsible for E2E testing features of our fast-evolving product, by building a complex  environment and simulating customers' requirements. You will be the only gatekeeper for various new features and enhancements before they are deployed .

Responsibilities

• Hands-on experience and in-depth knowledge of  manual and automation testing
• At least 4 years of Automation (Python) experience in complex, multi-layered SW systems
• Programming experience - scripting and/or OOPA team player with excellent collaboration skills Ability to multi-task and work in a fast-paced environment.
• Experience with SaaS products CCNP/JNCIP certified
• Experience with traffic generators (Trex, breaking-point, Avalanche, Test center)BSc. degree in Computer Science - Advantage
• Work closely with multiple R&D teams across PhaseV
• Enable development teams to own testing and automation as an integral part of delivery
• Design scalable quality strategies, testing frameworks, and quality gates to ensure high standards without slowing down development
• Act as a technical authority as you guide teams on testability, observability, and risk-based testing, as well as non-functional quality aspects such as security, performance, and reliability.
• Partner with Engineering, Product, and DevOps to continuously improve how quality is designed, measured, and enforced across the product lifecycle.
  
  Requirements
  
  At least 4 years of experience in quality testing complex systems Practical hands-on knowledge of cloud technologies (AWS), Kubernetes, Docker
• Hands-on experience with automation frameworks such as Playwright with Python
• Experience with leveraging Generative AI tools to accelerate quality-related tasks: test case creation, bug reporting, scripting/tooling, and more – an advantage
• Ability to guide development teams, provide clear and constructive quality feedback, and challenge design or implementation decisions
• Ability to take ownership using strong problem-solving and decision-making skills
  
  

What We’re About

Apiiro is a fast-growing startup at the forefront of application security. Our cutting-edge platform is designed to help development teams build secure software quickly, enabling them to move faster while managing risks. As pioneers in the AppSec space, we’re shaping the future of secure software development in the AI era. If you're looking for an exciting opportunity to make a significant impact and grow with a passionate team, Apiiro is the place to be.

What you’re about

Prior experience in Production Engineering or Release Management roles

3+ years hands-on experience with release management, CI/CD and monitoring tooling plus practical experience with GCP and AWS.

Experience with GitOps deployment tools.

Experience with CI systems (GitHub Actions, Jenkins, GitLab CI) and release orchestration tooling.

Strong Linux, Docker and Kubernetes experience; familiarity with Infrastructure-as-Code (Terraform/CloudFormation) and helm/eks/gke style deployment patterns.

Hands-on experience operating Grafana dashboards and alerting and responding to GCP monitoring alerts.

Proven ability to run releases, create hotfixes and own release calendars and schedules.

Excellent interpersonal and stakeholder management skills - able to run meetings, influence engineers and product managers and drive cross-team decisions.

English - written and verbal: native level

*This is a maternity leave cover position for a period of 9 months.

What you will do 

Release & hotfix management - Create and coordinate manual releases and hotfixes; build and publish release versions; maintain a centralized release calendar and manage release risk, quality and schedule.

Daily operations & syncs - Lead daily production sync meetings and act as the cross-team release/incident liaison across R&D, QA and DevOps.

Incident ownership - Own the incident.io platform (day-to-day configuration, runbooks, training for R&D, and status pages), run incident lifecycle activities, and drive post-mortems and RCAs for production bugs and outages.

Monitoring & alerting - Manage and maintain Grafana dashboards and alerting rules; respond to and triage alerts from Grafana and GCP (Cloud) monitoring; work with teams to reduce false positives and improve signal-to-noise in alerts.

On-call & incident triage - Participate in on-call rotations and act as escalation point for production issues; perform structured troubleshooting to mitigate issues and reduce MTTR.

Post-incident process - Lead post-mortems, own follow-up actions, and ensure lessons learned are integrated into process and tooling (e.g., smoke tests, cache clearing, alerting improvements).

Process & automation - Drive improvements to CI/CD, release automation, and production runbooks; help orchestrate IaC and deployment tooling to reduce manual risk.

Technologies & tools you’ll use

Grafana (dashboards & alerts), incident.io (incident management & training), GCP (Cloud Monitoring / Logging), AWS, Kubernetes, Docker, Terraform / IaC, Helm, GitHub, CI/CD systems (GitHub Actions/ArgoCD/Jenkins), Slack, Jira, and common scripting languages (Python/Bash). (Apiiro’s ProdOps team drives these systems in production and has prioritized observability, incident tooling and release automation.)

What We Stand For at Apiiro

OneTeam, One Mission means we’re all in it together - tearing down walls, listening to every voice, and working as one to create real value for our customers.

Striving for Greatness drives us to keep pushing forward, aiming higher, and staying resilient. We don’t believe in “good enough.”

Own It, we take pride in what we do. We’re all about accountability, trust, and transparency, so we’re empowered to make a real impact. 

Customer Centric means our customers are at the heart of everything. We go beyond just meeting their needs; we build solutions that truly make a difference.

These values keep us motivated to deliver the best for our customers and each other, every single day.

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If you're ready to join a team that's dedicated to transforming the future of app security, we’d love to hear from you. Apply now and let’s build the next generation of secure software together!

• Drive the technical vision for Hive Team - We're building high-leverage internal platforms that power Pagaya’s decisioning and analytics.
• Lead complex, cross-functional technical projects from inception to implementation, ensuring alignment with architectural standards and best practices.
• Mentor and guide engineers to foster technical excellence, while partnering with product, engineering, research, and ops to translate complex requirements into scalable, reliable systems.
• Establish and champion engineering best practices, high coding standards and a winning professional culture, within our team and across the engineering organization.

About Pagaya

Pagaya is a global technology company making life-changing financial products and services available to more people nationwide, as it reshapes the financial services ecosystem. By using machine learning, a vast data network and a sophisticated AI-driven approach, Pagaya provides comprehensive consumer credit and residential real estate solutions for its partners, their customers, and investors. Its proprietary API and capital solutions integrate into its network of partners to deliver seamless user experiences and greater access to the mainstream economy. Pagaya has offices in New York and Tel Aviv. For more information, visit pagaya.com.

• Build high-leverage internal platforms that power Pagaya’s decisioning and analytics.
• Lead technical projects end-to-end, covering all stages from architecture to execution. 
• Own your work: partner closely with research, product, engineering and ops to turn complex requirements into simple, reliable systems.
• Be a technical leader for our infrastructure and products.

• 8+ years of programming experience in developing high-quality, full-stack web applications and services.
• Fluent in Python.
• Familiar with cloud-native technologies  (AWS, Docker, Kubernetes)
• Willingness and motivation to do client-side work in React and Typescript, when needed (~20%).
• A strong sense of ownership over code and systems developed.
• Exceptional communication and teamwork capabilities, effectively working with cross-functional teams to achieve shared goals.

• Experience in high-scale cloud-native distributed systems.
• A solid understanding of software design principles and adherence to industry best practices.
• Interest in AI-assisted coding and AI-native applications, and motivation to bring new paradigms into existing workflows.

Our Team

Pagaya was founded in 2016 by seasoned research, finance, and technology entrepreneurs, and we are now 500+ strong in New York, Los Angeles, and Tel Aviv.

We move fast and smart, identifying new opportunities and building end-to-end solutions from AI models and unique data sources. Every Pagaya team member is solving new and exciting challenges every day in a culture based on partnership, collaboration, and community.

Join a team of builders who are working every day to enable better outcomes for our partners and their customers.

Our Values

Our values are at the heart of everything we do. We believe great solutions are built through a great community.

• Advance Inclusion- We create a world where everyone can win, designing systems that better represent people and generate sustainable value for our employees, partners and investors.
• Be Accountable Together- We proudly own our actions and our results, taking initiative to ensure our work gets over the finish line as a team.
• Continuously Learn- We challenge ourselves for the sake of getting better as individuals, as teams, and as an organization to deliver for our partners.
• Debate and Commit- We respectfully and openly debate to strengthen our ideas and build shared conviction - once we decide, we go all in, together.
• Dream Big and Act- We boldly tackle complex problems, pressure-test solutions in real-time, and adapt with speed and energy.

More than just a job

We believe health, happiness, and productivity go hand-in-hand. That's why we're continually looking to enhance the ways we support you with benefits programs and perks that allow every Pagayan to do the best work of their life. 

Pagaya is an equal opportunity employer. Pagaya is encouraging diversity and actively seeking applicants from all backgrounds, as are committed to creating a diverse workforce together with an inclusive environment for all. Employment is decided on the basis of qualifications, skills, and business needs.