The role

We’re looking for a Software Engineer with strong C++ expertise to join the team building and operating Nebius Data Platform — a distributed storage and a processing platform that acts as the company’s “source of truth” and the backbone of many internal (and some external) products.

Nebius Data Platform is a single multi-tenant ecosystem based on YTsaurus — instead of running separate HDFS/Kafka/HBase-style systems, we provide storage, compute, and analytics capabilities inside one platform.

Built on top of the open-source YTsaurus ecosystem, we run and extend our own Nebius distribution and develop significant in-house functionality (core and platform-level). We can design, implement, and roll out features end-to-end on our clusters without waiting for upstream approvals and contribute upstream when it makes sense.

At scale today, this includes~500 servers, ~20k CPU cores and ~10 PB of compressed data in our largest production cluster, supporting workloads ranging from business-critical pipelines and financial transactions to large-scale ML/LLM training datasets and compute.

What’s inside the platform

You’ll work on a system that includes (and ties together):

• Distributed Storage (Cypress): transactional semantics, tiered storage, erasure coding, replication, and strong reliability expectations.
• Compute & ETL: a cluster-wide job scheduler (tens of thousands of cores), MapReduce, YQL for SQL-like data processing, and SPYT (Spark over YTsaurus) for modern data engineering.
• Interactive analytics (CHYT): ClickHouse® instances spun up directly on compute nodes for fast SQL over data in-place.
• Dynamic Tables: low-latency NoSQL KV with distributed ACID transactions for OLTP-style workloads and feature stores.
• Orchestracto: workflow orchestration deeply integrated with the platform (Airflow-like, but platform-native).

What you’ll do

We’re looking for engineers who combine strong systems skills with product sense: understanding who uses the platform, why certain capabilities matter, and making pragmatic trade-offs to maximize impact. On our team, engineering work is expected to be connected to real users and outcomes — you’ll regularly align with internal stakeholders, clarify requirements, and help drive prioritization.

In this role, you will:

• Design and implement new functionality in YTsaurus core (C++) with production reliability in mind.
• Build and evolve platform-level capabilities: platform architecture and operating model—multi-cluster growth, shared primitives, and a consistent experience that scales with new teams and use cases.
• Improve end-to-end platform experience for internal (and external-facing) users: APIs, guardrails, debugging workflows, and automation.
• Own production quality: incident response / on-call rotation, root cause analysis, and turning learnings into durable fixes.

Example projects

• Roll out sharded YTsaurus masters (incl. Kubernetes operator support) and build automatic balancing of metadata across master cells (consensus groups) to remove control-plane bottlenecks and unlock 10–100x cluster growth.
• Make CHYT interactive SQL faster and more predictable at high load via performance work like data-skipping / min-max-style indexes and improved execution introspection.
• Turn Orchestracto into a platform product by defining the building blocks, developer experience, and governance for how teams create and share workflows.
• Scale and harden Parquet-on-S3 for native YTsaurus workloads by tackling replication/movement, consistent lifecycle semantics, and master-server metadata optimizations for performance and reliability.
• Design and ship complete, trustworthy audit trails for data changes (who/what/when) across heterogeneous storage and compute paths.

Tech stack

• Core: modern C++ (C++20, async + multithreaded primitives)
• Services & tooling: Go and Python (microservices, utilities, integration tests)

What we expect

• 5+ years of software engineering experience.
• Strong C++ skills (you’ll write core code).
• Working knowledge of Python and/or Go (you don’t have to be expert, but should be comfortable navigating them).
• Experience developing and/or operating high-load, distributed services.
• Production mindset: ability to use SSH, read logs/metrics/traces, and debug distributed systems behavior.
• Solid CS fundamentals: algorithms, data structures, concurrency basics.

Nice to have

• Experience with Big Data systems (YTsaurus/Hadoop/Spark/ClickHouse/Kafka-like ecosystems).
• Experience with multi-tenant platforms, schedulers, resource isolation, quotas, and reliability engineering.
• Strong performance engineering skills (profiling, lock contention, latency/throughput tradeoffs).

We conduct coding interviews as part of the process.

Your Role:

• Lead the design and development of complex, high-performance, backend services within the Tenable One ecosystem, ensuring modularity and long-term maintainability.

• Own the end-to-end performance of critical platform components, optimizing for massive data ingestion and low-latency processing across global environments.

• Drive architectural discussions and provide high-level input on system design, steering the team toward scalable, cloud-native best practices.

• Actively mentor and contribute to code reviews and technical discussions, sharing expertise and fostering a collaborative environment for continuous improvement.

• Collaborate closely with Product, SRE, QA and Security teams to implement technical solutions aligned with business objectives.

• Take a “production-first” approach to reliability; lead root cause analysis for complex distributed system issues and implement preventative measures to guarantee system reliability.

What You’ll Need:

• BSc in Computer Science or a related degree from a recognized institution, or a strong track record in server-side development with advanced technical skills.

• 5+ years of experience in software engineering with a demonstrated ability to work on large-scale projects and solve complex technical problems.

• Proficiency in one or more modern programming languages such as Python, Kotlin, Java, Go, C#, or equivalent, with the ability to adapt to new tools and technologies.

• Strong expertise with distributed systems, cloud-native architecture (e.g., Kubernetes, microservices), and APIs.

• Hands-on experience with high-throughput date stores and messaging systems (e.g., Snowflake, PostgresSQL, Elasticsearch, Kafka or Redis).

• Experience with cloud platforms such as AWS, Azure, or GCP, with knowledge of best practices for deploying and maintaining cloud-based services.

• Strong problem-solving skills, with experience debugging and resolving production issues in complex systems.

• A proactive approach to task prioritization and a history of leading technical initiatives from conception to deployment with minimal supervision.

• Prior experience working in the cybersecurity industry or working with security-centric data pipelines and protocols is advantage.

• Bonus: Experience or familiarity with moden frontend frameworks and an understanding of how frontend applications consume and state-manage complex backend data.

As a Senior Back-end engineer you will be building SentinelOne’s next-generation cloud-based security platform and are looking for a strong backend software engineer. You’ll enjoy building systems from the ground up, working hands-on in complex, large-scale environments, and taking ownership to drive solutions forward.

What will you do?

• The Collection team leads projects that directly impact the company's bottom line, focusing on areas such as remote operations, EDR, and XDR. Our initiatives start from concepts and evolve into products deployed across millions of endpoints and servers
• This multidisciplinary team comprises experts in backend, frontend, and endpoint technologies (Windows, Linux, Mac), enabling us to independently ideate, develop, and deliver solutions at scale.
• As a Senior Backend Engineer, you will implement innovative projects from inception to implementation, shaping the architecture, design, and development of new modules within our comprehensive security platform. Operating across multiple strategic product lines, you’ll have a direct and visible impact on the success of key company initiatives.

What skills & knowledge should you bring?

• 5+ years of backend development.
• Experience with high-performance micro-services-based backend systems.
• Proficiency in at least one of the following programming languages in a backend environment: Python \ Go. 
• Experience developing cloud-native solutions and data pipelines.
• Experience working with databases (both SQL and NOSQL).
• Experience working with Dockers and Kubernetes.
• Experience with AWS, GCP or other cloud platforms.
• Strong capability to design a solution according to product requirements.
• Great communication skills and ability to work in hybrid and\or remote teams and lead projects.
• Proven experience with developing unit\component tests as part of the development process.

Any of these would be an additional plus:

• Experience working with Kafka ecosystem (pub/sub, Kafka connect, etc.).
• Experience with large scale management systems and performance.
• Experience with Terraform / Terragrunt.
• Experience with Rust, C++, Java, C# or Similar.

Why us?

We are at the forefront of the most dominant space of the Cyber Security market. You'll be working closely with some of the best researchers on the planet on the most innovative and challenging features that will shape the future of Cyber Security. You will be part of a truly global team that is rapidly growing around the world, on an amazing journey of success. You will work with great people in an open, fun environment, and you will be part of an organization that truly values its people.

• 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 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

Role summary -

Hybrid
Full-time

We’re looking for a Team Leader who is a tech-enthusiast with a drive for excellence, and an out-of-the-box mindset to satisfy business needs in a complex payment solution environment.

What you’ll do

• Collaborate closely with Product, Design/UX, DevOps, and other R&D teams
• Lead an autonomous team of software engineers who are working closely with product management for achieving business goals
• Put special focus on developing the team 
• Provide technical authority to your team by demonstrating a hands-on leadership style
• Be responsible for the overall design, development, architecture, code quality, and production environment deployment of your team

Who you are -

• S. in computer science or equivalent
• 5 + years of experience as a server side developer, all the way from DB to UI (using C#  – a must!, REST APIs, and asynchronous communication with Queues/Streams)
• 3+ years of experience with advance SQL (MSSQL/Oracle/MySql/PostgreSQL etc.)
• 2+ years of managerial experience – a must!  
• Broad knowledge of OOP and design patterns
• Team player attitude and mentality
• Experienced and passionate about managing and growing people
• Experience in engineering best practices (code-reviews, testing coverage, agile methodologies)
• Ambitious and eager to learn new things

What could set you apart

• Experience with frontend technologies like Angular, React
• Experience with messaging queues or streams such as RabbitMQ/SQS/Kafka
• Experience with Redis or alike
• Experience with ORM such as Entity Framework
• Experience with Microservices
• Experience in building SaaS platforms in a cloud-based environment

#LI-CD1

Senior Backend Engineer-Cloud Modernization

Role Summary

As a Senior Backend Engineer in the Credit Cards team, you will play a critical role in our Cloud transformation, re-architecting, building, and shipping our next-generation solutions, evolving the systems that power our card offering end-to-end, from card ordering and issuing to transaction processing and lifecycle management.

Location

Herzeliya,Hybrid, Full-time.

What you’ll do

You will be a core member of the Credit Cards engineering team, a high-impact unit responsible for the full card lifecycle, from ordering and issuing to limiting, managing, and monitoring card transactions. The team integrates with third-party payment processors, 3D Secure systems, and MasterCard, ensuring seamless, secure, and high-performance card operations for our customers.

You will lead technical initiatives across card systems, designing, building, and validating robust backend solutions that scale with business needs.

You will work closely with architects, security, product, and operations teams to modernize the existing card systems into a new event-driven architecture, introduce cloud-native patterns. Build it from scratch while ensuring that card business services remain reliable, secure, and performant.

Who you are

You are a seasoned Senior Backend Engineer with deep expertise in backend systems and cloud architectures. You thrive in complex, fast-moving environments and excel at turning ambiguous requirements into concrete, reliable solutions.

You bring strong technical ownership and accountability, balancing long-term architectural thinking with pragmatic delivery. You embrace change, learn quickly, and continuously adapt to new technologies, business needs, and integration challenges with external partners.

You are proactive, curious, and confident in making informed decisions. You influence others through technical excellence and clear communication, collaborating closely with product, architects, security, and operations teams to ensure alignment, adoption, and lasting impact.

Skills you are bringing with you

• 6+ years of experience with backend development, preferably C# and Node.js
• 6+ years of experience with advanced SQL (MSSQL/MySQL/PostgreSQL, etc.)
• 4+ years of experience with NoSQL database, preferably MongoDB
• Experience with building SaaS platforms for cloud-based products, preferably AWS
• Experience with Containers and Kubernetes (K8s), preferably EKS
• Experience with Event-Driven Architecture
• Experience with Message Brokers such as RabbitMQ/SQS/Kafka, preferably Kafka
• Experience with Microservices development
• Experience with AI tools for leveraging team velocity & quality
• B.S. in computer science or equivalent
  
  

  #LI-LF1

• About the Role

  Forter seeks a highly skilled, motivated Senior Full-Stack Engineer  to join the Customer Experience Offerings (CXO) team. This team delivers and scales Forter’s core offerings and agentic experiences, creating smart automation for customers to confidently understand, configure, and optimize their journey.

  Part of the Customer Experience group, this high-impact, hands-on role involves working across the full application stack—frontend (React, Next.js), backend (Node.js, TypeScript), data pipelines, and platform development. The ideal candidate has deep expertise in full-stack development, large-scale data stores, event-driven pipelines, data models, and high-throughput infrastructure. You will design and implement robust, end-to-end solutions for the customer portal and internal tools, and play a central role in shaping AI-driven capabilities as we invest heavily in Agentic AI.

  If you enjoy owning complex problems end to end, improving systems at scale, and building experiences that bring real value to customers, we would love to meet you.

  
  

  What You’ll Be Doing

  • Drive the end-to-end technical strategy and development for Forter's core offerings and the intelligent, agentic experiences that empower customers to configure and continuously optimize their journey.
  • Define and implement the authoritative technical standards for user configuration and data interaction/visualization, ensuring high performance and reusability across the platform.
  • Lead the development of next-generation Agentic AI capabilities. Define how LLMs integrate into our platform, build AI-powered workflows, and establish strong engineering patterns for safe and reliable adoption.
  • Own and evolve the data foundations behind the portal. Optimize pipelines, improve data quality and freshness, and design resilient data-access patterns to ensure customers can confidently understand and analyze the impact of their choices.
  • Own end-to-end delivery of high-impact initiatives, focusing on unifying the user journey by bridging the gap between configuration and results analysis. Contribute hands-on across the full stack when needed, maintain execution momentum, and drive projects from concept to production.
  • Work closely with product, design, customer-facing teams, and partner engineering groups. Turn ambiguous problems into clear execution plans and ensure alignment with customer and business goals.

  Who are you?

  • 5+ years of experience as a software engineer with deep expertise in full-stack development, including strong command of modern frontend frameworks (e.g., React, Next.js) and backend technologies (Node.js, TypeScript).
  • Experience building customer-facing products and working closely with product managers and customer-facing stakeholders.
  • Strong familiarity with cloud-native environments. AWS experience is a significant advantage.
  • Hands-on experience with distributed systems, data-intensive architectures, and event-driven pipelines. You are comfortable working with stores like Redis, Kafka, SQS, Elasticsearch, MySQL, and Snowflake, and you know how to design efficient data-access layers, optimize schema and query performance, and build reliable ingestion and transformation pipelines.
  • Demonstrated impact in senior engineering roles. You have led complex technical initiatives, influenced product decisions, and helped drive architecture across teams.
  • Deep systems thinking with the ability to design and scale robust, performant, and maintainable services.
  • Excellent communication and collaboration skills. You can discuss architecture with engineers, roadmap with product managers, and explain tradeoffs to non-technical stakeholders.
  • Experience using modern AI development tools such as Claude, GitHub CoPilot or similar to accelerate development and improve quality.
  • Proven ability to self-manage, work autonomously, and drive projects forward without heavy oversight.

  It’d be really cool if you also have:

  • Experience building products or workflows powered by LLMs or Agentic AI
  • Experience with micro-frontends or multi-app ecosystem architectures
  • Deep experience with designing or maintaining high-scale data pipelines, including streaming, batching, or real-time enrichment workflows
  • Experience leading workshops, sharing knowledge internally, or driving community practices

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.

Role summary:

We are seeking a seasoned and execution driven VP, head of data platform to lead all the R&D tracks of the Data and Analytics organization in Payoneer. This role focuses on leading a complex data engineering organization at scale, driving delivery, operational excellence and cross-company enablement through world-class data platforms and tools.

This leader will serve as the engineering owner of our data platform, managing multiple data infra, data engineering and BI development teams, overseeing extensive resources, and ensuring the delivery of high-quality, scalable, and reliable data products and services. This position requires a strong technical background combined with exceptional leadership, strategic thinking, and cross-functional collaboration skills.

He will also act as a key stakeholder in defining the architecture and strategic direction of our data infrastructure, pipelines, AI/ML infra and platforms to support the company's rapid growth and evolving business needs.

Hybrid 

Full-time



What you’ll do: 

• Lead and manage the entire data platform, including:
• Real-Time Data & Streaming Infrastructure: Introduce and engineer robust data streaming infrastructures (e.g., using Kafka, Pub/Sub, Dataflow) to enable near-real-time data ingestion and scalable low-latency data serving, unlocking advanced analytics and critical use cases.
• Data engineering teams responsible for the data ingestion, transformation and delivery pipelines
• BI infra and development teams owning the cross-company consumption layer, including BI tools, BI data layers and dashboards
• Serve as the operational and delivery lead across the data platform, ensuring strong project execution, roadmap alignment and measurable business impact
• Data Engineering & Architecture Oversight: Lead the design, development, and evolution of scalable data platforms, encompassing data lakes, data warehouses, and advanced data products, ensuring they meet performance, reliability, and business requirements.
• Operational Excellence & Reliability: Establish and drive engineering operational excellence processes across data engineering, significantly improving data quality, availability, and system reliability. Implement frameworks for proactive monitoring, alerting, and incident management, reducing major incidents and ensuring continuous visibility into data flows.
• Advanced Data Observability: Integrate and leverage cutting-edge data observability solutions (e.g., Monte Carlo) to provide comprehensive visibility into data pipelines, enabling proactive detection and resolution of anomalies.
• Cross-functional Collaboration & Stakeholder Management: Collaborate extensively with product, analytics, business, and infrastructure teams to align data strategies with overarching business priorities, ensuring the delivery of high-quality data products that meet diverse user needs.
• Innovation & Technology Adoption: Stay abreast of the latest data, cloud, and AI trends, driving the evaluation and adoption of modern cloud-native technologies to continuously improve platform capabilities and future-proof the ecosystem.
• Leadership & Team Growth: Lead, mentor, and grow a large team of data engineers, fostering a culture of technical excellence, continuous learning, and agile methodologies. Oversee budget management and drive talent development within the team.
• Data Governance & Quality: Oversee the implementation of standards for data quality, data integrity tools, governance, privacy, and regulatory compliance across the data ecosystem.

Who you are? 

• Extensive Experience: 15+ years of progressive experience in the software industry, with a significant portion in data engineering, data platform design, and leadership roles.
• 5+ in senior R&D or VP-level roles, managing large cross-functional teams. Proven experience in leading and managing large engineering teams (e.g., 30-40+ engineers) and overseeing large budgets. 
• Deep Technical Expertise- 
• Profound knowledge of modern cloud data platforms such as GCP, BigQuery, Snowflake, Databricks, Redshift, and Bigtable.
• Hands-on experience with ETL/ELT tools and frameworks (e.g., DBT, Dataform, Spark).
• Strong familiarity with real-time data processing and streaming platforms (e.g., Kafka, Pub/Sub, Flink, Dataflow, Kafka Streams, Storm).
• Experience with data warehousing, data lakes, Hadoop ecosystems (e.g., Cloudera)
• Experience in BI domains tools (e.g., Looker, Tableau, Power BI)
• Familiarity with legacy ecosystem (MySQL, SSRS)
• Experience with containerization and orchestration technologies like Kubernetes and infrastructure-as-code tools like Terraform.
• Operational Excellence: Demonstrated ability to establish and improve operational excellence processes, including proactive monitoring, alerting, incident management, and data observability solutions.
• Strategic & Business Acumen: Strong business acumen and the ability to align technical decisions with strategic business goals.
• Communication & Collaboration: Excellent communication, stakeholder management, and cross-functional collaboration skills to effectively align diverse teams and stakeholders.
• Problem-Solving: Exceptional problem-solving abilities and a creative approach to technical challenges.
• Education: Bachelor of Science degree, preferably in Computer Science or a related technical field.

#LI-Hybrid
#LI-CA1

Vonage Applications

Our Applications business unit focuses on delivering a suite of advanced communication tools designed to enhance customer engagement. From cloud contact centers to feature-rich unified communications solutions, our Applications team is dedicated to providing businesses with the tools they need to streamline operations and improve customer experiences.

Why this role matters:

Authentication and identity are the front door to every Vonage product — and the Cerberus team is the engineering team that keeps that door secure, reliable, and scalable for hundreds of thousands of business users worldwide. Sitting at the heart of the Vonage Business Communications and Vonage Contact Center platforms, we own the full identity stack — OAuth 2.0 / OIDC, SSO, MFA, SCIM, RBAC/ABAC, fraud detection, and more — processing hundreds of thousands of requests per minute in production. This is not a supporting role; it is core infrastructure where a single decision can affect the security and availability of Vonage's entire product suite. As a Software Engineer joining a team of 6 senior engineers, you will take end-to-end ownership of mission-critical microservices, contribute to the modernization of the VCC identity platform, and help shape the technical direction of a fast-moving, security-first team — with real impact visible at scale from day one.

Your key responsibilities:

• Design, develop, and maintain authentication and authorization microservices (backend-heavy, full-stack) serving the VBC and VCC platforms

• Take full ownership of features end-to-end — from requirement kick-off and solution design through implementation, code review, testing, production deployment, and post-deploy monitoring

• Participate actively in Agile ceremonies — daily stand-ups, sprint planning, retrospectives, and design discussions — contributing concrete technical insights and surfacing risks early

• Manage production deployments using CI/CD pipelines (GitHub Actions / Bolt), including smoke tests, E2E test execution, log analysis (Kibana / Grafana), and incident response

• Implement and maintain security-critical flows including OAuth 2.0, OIDC, SAML 2.0, JWT, MFA, passkey/FIDO, SCIM, and inter-service authentication patterns

• Write and maintain technical documentation — architecture decision records, playbooks, runbooks, and knowledge-transfer materials

• Participate in on-call rotation (OpsGenie), responding to production alerts, investigating issues, and driving root cause analysis

• Leverage AI-assisted development tools (e.g., GitHub Copilot, Claude Code) to enhance personal productivity, code quality, and delivery speed.
  
  

What you'll bring

Required:

• 5+ years of professional software engineering experience, with a strong track record of delivering production-quality software in a team environment

• Full-Stack developer with a strong server-side orientation — comfortable owning backend services while able to contribute to frontend when needed

• Proficiency in Node.js — ability to design, build, and maintain scalable backend services in JavaScript/TypeScript

• Hands-on AWS experience — working knowledge of core AWS services (EKS/Kubernetes, EC2, Secrets Manager, WAF, S3, CloudFront, Lambda, ElastiCache)

• Microservices architecture — experience designing and operating distributed microservice systems, including service-to-service communication, event-driven patterns (Kafka), and API design

• PostgreSQL / relational databases — proficiency in schema design, query optimization, and database best practices

• AI-augmented development — active user of AI coding assistants (GitHub Copilot, Claude Code, Cursor, or equivalent) as part of everyday development workflow

• Strong software engineering fundamentals — SOLID principles, design patterns, clean code, unit and integration testing.

Experience we consider a plus:

• Authentication & Authorization deep knowledge — hands-on experience implementing OAuth 2.0, OIDC, SAML, JWT, MFA, SSO, SCIM, or RBAC/ABAC systems

• NestJS — experience building backend services with the NestJS framework (the team's emerging standard for VCC services)

• DevOps practices — familiarity with CI/CD pipelines, GitHub Actions, infrastructure-as-code (Terraform / CloudFormation / Helm charts), and Kubernetes manifests

• C# and/or Java— working knowledge of either language, useful for contributing to legacy components and cross-team integrations.

How you’ll benefit:

• Discretionary Time Off
• Private Medical Healthcare
• Pension scheme
• Ericsson support line
• Hybrid work
  
• Additional benefits and perks will be shared and discussed with you by the recruiter during the interview process.

#LI-KF1

Shift4 is looking for a Senior Data Engineer to join our Data Platform team. We are seeking a hands-on individual with experience in building and scaling modern data infrastructure, passionate about exploring AI technologies and applying them to enhance and evolve our data systems. This role is ideal for someone focused on data systems, performance, automation, and reliability, who will design, build, and maintain core components of our data pipelines, storage, monitoring, and observability stack, with a strong focus on improving workflows and system capabilities, while embracing the Shift4 way.

Responsibilities:

• Build and maintain scalable, reliable, and high-performance data infrastructure across cloud and on-prem environments
• Partner with engineering, analytics, and observability teams to support data flow from ingestion to consumption
• Develop infrastructure as code and automation tools to improve deployment, monitoring, and recovery
• Help troubleshoot performance bottlenecks and reliability issues in large-scale data pipelines
• Implement data quality processes aligned with security standards to ensure accuracy, consistency, and compliance with financial regulations and PCI requirements.
• Continuously improve the performance and efficiency of the data platform with proactive tuning and benchmarking
• Proactively explore and apply AI tools to enhance efficiency across the data engineering lifecycle, while improving accessibility and usability of data solutions for teams across the organization

Qualifications:

• 7+ years of experience in data engineering, infrastructure, or DevOps roles
• Strong hands-on experience with message queue systems such as
  Apache Kafka, Confluent and RabbitMQ
• Practical experience with the Elastic Stack (Elasticsearch, Logstash, Kibana), including designing data pipelines, index management, performance and costs optimization.
• Hands-on experience with time series databases such as Prometheus and InfluxDB
• Experienced with visualization and observability platforms including Grafana, Prometheus, Elastic stack. Designed and maintained interactive dashboards for real-time monitoring of system metrics, logs, and traces, enabling proactive issue detection and improved operational efficiency
• Strong knowledge of cloud platforms (AWS, GCP, or Azure) and operating production data infrastructure, ensuring scalability, reliability, and performance of data systems.
• Infrastructure as code experience using Terraform or Ansible
  Proven proficiency in CI/CD methodologies with the ability to design and implement automated pipelines from scratch
• Responsible for organization-wide monitoring systems, with deep familiarity and understanding of the various infrastructure components, services, and devices across the organization
• Background in observability and performance tuning at scale
• Passion for automation, performance, and clean system design

Who Connecteam is:

Connecteam is a TLV-based startup that’s on a mission to change the work experience for 80% of the world’s global workforce - the deskless employees. 

Our business management platform helps thousands of businesses thrive by taking away the daily hustle and complexities of managing teams, so they can have the peace of mind to grow and run their business. 

What’s the job?

Connecteam is seeking a skilled and experienced DevOps Engineer to design, plan and implement scalable, reliable and robust system infrastructure to support the company’s rapid business and traffic growth.

You will join an innovative, high-performance team and work with cutting-edge technologies in a dynamic and agile environment.

What you'll be doing: 

• You will take an active part in the challenge of managing a highly available and fault tolerant production environment.
• You will assist in identifying and resolving performance concerns and operational bottlenecks, debug complex pitfalls and advise on system architecture solutions.
• You will build, design and maintain self-serve devex tools to increase development velocity and satisfaction.
• You will push and impact our systems to be more cost effective, performant and simple to use and extend.

Which qualifications you’ll need:

• 3+ years of experience as DevOps, working in Linux environment and scripts writing.

• Production experience with Public Cloud and container orchestration systems like kubernetes. 

• Deep understanding of IaC concepts and experience with tools such as Terraform, Cloudformation, Chef, Ansible, etc.

• Broad knowledge and experience with popular observability tools such as Prometheus, Datadog, Elasticsearch, etc.

Advantages:

• Experience with software development and development frameworks.

• Provisioning and operating relational databases such as MySQL.

• Provisioning and operating NoSQL databases such as MongoDB, Redis, Elasticsearch.

• Experience with event streaming and messaging platforms such as Kafka, RabbitMQ.
• Knowledge in CI/CD pipelines
• Experience with Jenkins/ TeamCity.
• Python HO experience

Hiring process with us: 

At Connecteam, we aim to complete our hiring processes at lightning speed, keeping the time between when we receive your CV until you (hopefully) sign with us super short, communicative and transparent.

Transmit Security gives businesses the modern tools they need to build secure, trusted and end-to-end digital identity journeys to innovate and grow. 

CX-focused, cybersecurity conscious leaders rely on Transmit Security’s xCIAM platform to provide their customers with smooth experiences protected from fraud across all channels and devices.

Transmit Security serves many of the world’s largest banks, insurers, retailers, and other leading brands, collectively responsible for more than $1.3 trillion in annual commerce. 

About the Role:

Transmit Security is a top player in its game and is heading for an exciting year.

In this role, you will take an integral part in the creation of a new and innovative SaaS product.

If you are a talented software engineer that likes to solve complex problems and looking for your next challenge we want you to join our team!

What you’ll do: As the Team Leader at Transmit Security, you will lead a talented team to design, implement, and deploy scalable data solutions for an innovative SaaS product. You’ll be responsible for shaping the direction of a system that impacts millions of users worldwide. If you're an experienced manager with a strong technical background, ready to lead in a dynamic, fast-paced production environment, we want you on our team!

Responsibilities:

• Collaborate effectively with cross-functional teams (Data Science, Security, etc.) to ensure alignment on business needs and security standards.
• Manage the technical backlog, make critical decisions on product milestones, and ensure timely, secure, high-quality delivery and deployment.
• Foster the growth of team members through mentorship, personal development opportunities, and the promotion of continuous improvement.
• Identify, manage, and mitigate security risks across the data platform, maintaining high standards in all initiatives.
• Define and implement methodologies to guarantee the performance, scalability, and quality of our data infrastructure.

What We're Looking For:

• 5+ years of software engineering experience, with at least 2 years in a leadership capacity.
• Extensive knowledge of distributed computing platforms (Flink, Spark, Beam) and cloud platforms (AWS, GCP, Azure).
• Proficiency in programming languages such as Python, Java, Scala, or Go.
• Demonstrated strong leadership abilities, including guiding teams, managing backlogs, and fostering effective cross-functional collaboration.
• Proven experience in managing security risks and ensuring high-quality, scalable, and compliant systems.
• Ability to maintain focus on key priorities and excel in a fast-paced, dynamic production environment.

Advantages:

• Bachelor’s degree in Computer Science or a related field.
• Experience with microservice architecture, data management tools (Kafka, Airflow, MLOps), and CI/CD processes.
• Familiarity with databases (Postgres SQL, Redis) and Kubernetes.
• Background in identity management, risk assessment, or fraud detection.

#LI-AM1 #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 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 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

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

Staff Data Engineer - Data Platform 

Capitolis | Tel Aviv | Full-time 

About the Role 

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

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

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

What You'll Do 

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

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

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

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

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

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

Requirements 

Must-Have: 

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

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

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

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

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

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

Strongly Preferred: 

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

• Data governance and security implementation at scale 

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

• Infrastructure as Code (Terraform) 

Nice to Have: 

• Kinesis or Kafka for streaming data 

• Vector databases for AI/ML applications 

• Open source contributions to data tools 

What We're Looking For 

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

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

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

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

• Strong communicator: Can translate technical concepts for diverse stakeholders 

Tech Stack 

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

Location:

Hybrid, Full-time.

What you’ll do

You will lead a Cloud Modernization Commando, an elite team, a high-impact engineering unit, focused on accelerating cloud modernization across the R&D teams in the organization. The team operates as a force multiplier, taking on complex, high-prioritized, and high-value cloud initiatives that require deep technical expertise, fast execution, and cross-team influence.

You will lead the full cycle from the front, designing, building, and validating modern cloud patterns, unblocking critical initiatives, and setting technical direction that other teams can confidently adopt. It is not a long-term feature delivery team, and stakeholders change per mission, yet it’s a mission-driven squad that engages where impact is highest, establishes momentum, and then hands over ownership to product teams.

Who you are

You are a seasoned, hands-on, engineering leader with a proven ability to create clarity, drive momentum, and take ownership in fast-moving, complex environments. You excel at breaking down ambiguous problems, aligning stakeholders, and moving initiatives from concept to execution with urgency and focus.

You bring deep cloud and architectural expertise, balancing strategic thinking with pragmatic delivery. You know when to design scalable, long-term patterns and when to deliver targeted, tactical solutions that unblock teams and accelerate progress across the organization.

You thrive in cross-team environments, earning trust, influencing without authority, and collaborating closely with product, architecture, security, and infrastructure groups to ensure alignment, adoption, and sustained impact.

Skills you are bringing with you

· 4+ years as Team Lead or Tech Lead

· 6+ years of experience with backend development, preferably C# and Node.js

· 6+ years of experience with advanced SQL (MSSQL/MySQL/PostgreSQL, etc.)

· 4+ years of experience with NoSQL database, preferably MongoDB

· Experience with building SaaS platforms for cloud-based products, preferably AWS

· Experience with Containers and Kubernetes (K8s), preferably EKS

· Experience with Event-Driven Architecture

· Experience with Message Brokers such as RabbitMQ/SQS/Kafka, preferably Kafka

· Experience with Microservices development

· Experience with AI tools for leveraging team velocity & quality

· B.S. in computer science or equivalent

#LI-CD1

We’re looking for a Software Developer Team Leader who is a tech-enthusiast with a drive for excellence, and an out-of-the-box mindset to satisfy business needs in a complex payment solution environment.

What you’ll do  

• Collaborate closely with Product, Design/UX, DevOps, and other R&D teams.
• Lead an autonomous team of software engineers who are working closely with product management to achieve business goals.
• Put special focus on developing the team. 
• Provide technical authority to your team by demonstrating a hands-on leadership style.
• Be responsible for the overall design, development, architecture, code quality, and production environment deployment of your team.  

Who you are

• B.S. in computer science or equivalent
• 8+ years of experience building backend services in at least one modern language (e.g., Java, C#, Node.js, Python, Go)
• 3+ years of experience with NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB, Couchbase, Redis)
• 4+ years of managerial experience – a must!
• Experience with building SaaS platforms for cloud-based products, preferably AWS
• Experience with Containers and Kubernetes (K8s), preferably EKS
• Experience with Message Brokers such as RabbitMQ/SQS/Kafka, preferably Kafka
• Experience with Microservices development
• Experience with Event-driven systems
• Broad knowledge of OOP and design patterns
• Team player attitude and mentality
• Experienced and passionate about managing and growing people
• Experience in engineering best practices (code reviews, testing coverage, Agile methodologies)
• Ambitious and eager to learn new things

What Could Set You Apart

• Experience with Redis or similar
• Experience with ORM such as Entity Framework
• Experience with Domain Driven Design (DDD)

#LI-CD1

Role summary -

Hybrid
Full-time

As an R&D Team Leader in the Pricing & Packaging R&D crew, you’ll be a key contributor to designing and building our monetization platform – pricing and packaging engines that drive the core business model of our payments platform. You’ll own complex features end to end, influence architecture and standards, mentor your team members, and help shape how we design, build, deploy, and operate services in AWS. This is a hands-on senior role with significant impact and room to lead technical changes. 

What you’ll do

• Collaborate closely with Product, Design/UX, DevOps, and other R&D teams
• Lead an autonomous team of software engineers who are working closely with product management for achieving business goals
• Put special focus on developing the team
• Provide technical authority to your team by demonstrating a hands-on leadership style
• Be responsible for the overall design, development, architecture, code quality, and production environment deployment of your team

Who you are -

• B.S. in computer science or equivalent
• 8+ years of experience with backend development in Node.js, combined with practical experience in C#.
• 3+ years of experience with advanced SQL (MSSQL/Oracle/MySQL/PostgreSQL, etc.)
• 4+ years of managerial experience – a must!  
• Experience with building SaaS platforms for cloud-based products, preferably AWS
• Experience with Containers and Kubernetes (K8s), preferably EKS
• Experience with Message Brokers such as RabbitMQ/SQS/Kafka, preferably Kafka
• Experience with Microservices development
• Broad knowledge of OOP and design patterns
• Team player attitude and mentality
• Experienced and passionate about managing and growing people
• Experience in engineering best practices (code reviews, testing coverage, Agile methodologies)
• Ambitious and eager to learn new things

What could set you apart

• Experience with Full-Stack development (frontend side experience with technologies like Angular and React)
• Experience with Redis or similar
• Experience with ORM such as Entity Framework
• Experience with Domain Driven Design (DDD)

#LI-CD1

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

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:

Role summary –

As a Backend Engineer in the Pricing & Packaging R&D crew, you’ll help build our monetization platform from the ground up: pricing and packaging engines that power a global payments platform. You’ll work end-to-end on features – from discovery and design through implementation, testing, deployment, and monitoring – using modern AWS-based technologies and leveraging modern AI tools, while maintaining best engineering practices and high quality. This is a chance to join early, influence how things are built, and grow with the team.

What you’ll do –

• Collaborate closely with Product, Design/UX, DevOps, and other R&D teams to understand business needs and translate them into technical solutions, covering full development lifecycle: discovery, design, implementation, code reviews, testing, deployment, and monitoring.
• Design, build, and maintain backend services and APIs for pricing, packaging, and monetization flows, in Node.js and C# over relational and document-based databases (SQL, MongoDB), running on AWS, using containers and Kubernetes.
• Write clean, maintainable, and testable code, following engineering best practices.
• Integrate with message brokers (e.g., Kafka, SQS, RabbitMQ) to build robust, event-driven services.
• Contribute to improving our CI/CD pipelines, observability, and production readiness (logs, metrics, alerts, dashboards).
• Continuously learn and share knowledge with the team, contributing to a culture of excellence, ownership and continuous improvement while building each other up.

Who you are:

• B.S. in Computer Science or equivalent practical experience.
• 6+ years of experience with backend development in Node.js, preferably combined with practical experience in C#.
• 3+ years of hands-on experience with relational databases and advanced SQL (MSSQL/Oracle/MySQL/PostgreSQL, etc.).
• Strong experience building SaaS or cloud-based platforms, preferably on AWS.
• Solid experience with containers and Kubernetes (K8s); EKS experience is an advantage.
• Strong experience with message brokers (e.g., Kafka/SQS/RabbitMQ) and event-driven architectures.
• Proven experience designing and building microservices in production environments.
• Deep understanding of OOP, design patterns, and clean architecture principles.
• Strong sense of ownership, accountability, and product mindset – you care about business impact as much as technical elegance.
• Experience with engineering best practices: code reviews, unit/integration testing, CI/CD, monitoring, and Agile methodologies.
• Excellent communication and collaboration skills; comfortable leading discussions and aligning multiple stakeholders.
• Ambitious, curious, and eager to learn and introduce new technologies and practices where they add value.

Israel
Hybrid
Full-time

We are looking for a versatile, autodidact Senior DevOps Engineer - someone who learns fast, thinks laterally, and isn't afraid to pivot mid-stream when the mission changes.
You are independent and accountable, but you thrive in a collaborative ecosystem. If you’re a service-oriented problem solver who views "infrastructure as code" as a craft, we want to talk.

What You'll do:

As a core member of our infrastructure team, you will bridge the gap between development and operations, ensuring our hybrid-cloud environment is seamless, scalable, and resilient.

• Architect & Implement: Lead the design of hybrid-cloud solutions with a heavy focus on cloud best practices.

• Own the Production: Take full accountability for production environments, ensuring 24/7 stability, availability, and performance.

• Automate Everything: Replace manual toil with elegant automation using Terraform, Crossplane, and Ansible.

• Bridge the Hybrid Gap: Maintain and optimize application layers across both cloud and private cloud environments.

• Cross-Functional Partnership: Collaborate with Product, QA, and Dev teams to streamline CI/CD pipelines and remove delivery bottlenecks.

• Resilience: Participate in a rotating On-Call schedule to keep our high-volume systems humming.

Who you are:

• The Experience: 7+ years in DevOps, SRE, or Platform Engineering, with at least 5 years specifically managing high-scale cloud production workloads (AWS / GCP).

• Orchestration: Deep expertise in Kubernetes and OCI container ecosystems.

• IaaC Mastery: Advanced scripting and deployment skills in Terraform (Crossplane is a major plus).

• CI/CD: Proven track record of designing and maintaining robust CI/CD pipelines to ensure seamless code-to-production workflows.

• Networking & Connectivity: Strong grasp of advanced networking concepts, including VPCs, Load Balancing, DNS, Service Mesh, and hybrid-cloud connectivity.

• Security & Compliance: Commitment to Security Best Practices - implementing "Security as Code," IAM least-privilege principles, container security, and secret management.

• Version Control: Expert-level proficiency with Git, including advanced branching strategies and repository management.

• Linux & Scripting: Strong Linux administration background with proficiency in Python, Bash, or PowerShell.

• Observability: Hands-on experience with Prometheus, Grafana, and ELK to diagnose and resolve complex production issues.

• Trouble Shooting: Fluent and comfortable working in the Linux terminal.

• Education: BS in Computer Science, Engineering, or equivalent practical "in-the-trenches" experience.

Advantage:

• Cloud Certified: AWS Professional level certifications (Solutions Architect or DevOps Engineer).

• Modern Delivery: Experience with GitOps workflows (ArgoCD or Flux).

• Messaging: Familiarity with Kafka or RabbitMQ.

• Legacy/Hybrid: Experience with VMware, SQL/NoSQL databases, or older SCM tools like TFVC.

• Dev Background: You’ve spent time on the "other side" writing software or working with dev frameworks.

#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#

We’re looking for an experienced Software Engineer to join our Data Platform Group. In this key role, you will develop our data platform, working on cloud-based microservices data pipelines. As we are building the company data platform, it has direct impact on our customers and also enables many of the other groups in the organization. You will also be responsible for building microservices that need to work on big data scale (about 1M records/sec) in a law latency as part of a dynamic team. 

Key Responsibilities: 

• End-to-end development of company massive data infrastructures and services. 

• Researching new technologies and adapting them for use in the company’s product  

• Working closely with the product, DevOps, and security teams  

Requirements: 

• 4+ years of experience with massive large-scale data systems platforms (Flink, Spark, Kafka, SQS...) and design principles (Data Modeling, Streaming vs Batch processing, Distributed Messaging...)   

• Expertise in one or more of the following languages: Java, Scala, Go 

• Hands-on experience with design and development production of large-scale distributed systems with an emphasis on performance 

• Familiarity with no-SQL DBs and relational DBs. We’re using technologies such as Clickhouse, Document DB, MySQL and Redis 

• Deep understanding of Object-Oriented Programming and software engineering principles   

• Experience with microservices, k8s - Advantage  

• Familiar with AWS platform- Advantage   

• Motivated fast independent learner and great at problem-solving   

• A team player with excellent collaboration and communication skills.  

• Bsc. in Computer Science from a known university 

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.

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
  
  

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.

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.

Big Ideas. Real People.

At Orca, in the right environment and with the right team, talent has no boundaries. This team spirit, together with our drive to always aim high, has quickly earned us unicorn status and turned us into a global cloud security innovation leader. So if you’re ready to join an amazing team of people who inspire each other every day, now is the time to find your place in our pod. 

We’re looking for driven and talented people like you to join our R&D team and our mission to change the future of cloud security. Ready to dive in and swim with our pod? 

Highlights:

• High-growth: Over the past seven years, we’ve consistently achieved milestones that take other companies a decade or more. During this time, we’ve significantly grown our employee base, expanded our customer reach, and rapidly advanced our product capabilities.
• Disruptive innovation: Our founders saw that traditional security didn’t work for the cloud, so they set out to carve a new path. We’re relentless pioneers who invented agentless technology and continue to be the most comprehensive and innovative cloud security company.
• Well-capitalized: With a valuation of $1.8 billion, Orca is a cybersecurity unicorn dominating the cloud security space. We’re backed by an impressive team of investors such as Capital G, ICONIQ, GGV, and SVCI, a syndicate of CISOs who invest their own money after conducting their due diligence.
• Respectful and transparent culture: Our executives pride themselves on being accessible to everyone and believe in sharing knowledge with the employees. Each employee has a place in shaping the future of our industry.

About the role:

Big Ideas. Real People.

At Orca, in the right environment and with the right team, talent has no boundaries. This team spirit, together with our drive to always aim high, has quickly earned us unicorn status and turned us into a global cloud security innovation leader. So if you’re ready to join an amazing team of people who inspire each other every day, now is the time to find your place in our pod. 

We’re looking for driven and talented people like you to join our R&D team and our mission to change the future of cloud security. Ready to dive in and swim with our pod? 

Highlights

• High-growth: Over the past seven years, we’ve consistently achieved milestones that take other companies a decade or more. During this time, we’ve significantly grown our employee base, expanded our customer reach, and rapidly advanced our product capabilities.
• Disruptive innovation: Our founders saw that traditional security didn’t work for the cloud, so they set out to carve a new path. We’re relentless pioneers who invented agentless technology and continue to be the most comprehensive and innovative cloud security company.
• Well-capitalized: With a valuation of $1.8 billion, Orca is a cybersecurity unicorn dominating the cloud security space. We’re backed by an impressive team of investors such as Capital G, ICONIQ, GGV, and SVCI, a syndicate of CISOs who invest their own money after conducting their due diligence.
• Respectful and transparent culture: Our executives pride themselves on being accessible to everyone and believe in sharing knowledge with the employees. Each employee has a place in shaping the future of our industry.

    •    Design and implement backend services that generate and deliver security insights and engagement workflows
    •    Write clean, maintainable, and well-tested code that meets production quality standards
    •    Build scalable systems that process and aggregate large volumes of cloud security signals
    •    Collaborate with product managers, engineers, and designers to translate insights into actionable user experiences
    •    Troubleshoot and resolve complex system issues while improving system reliability and observability
    •    Contribute to architectural discussions and help evolve services to support growing scale and new capabilities
    •    Implement new features following Agile development practices and established engineering standards
    •    Continuously improve system performance, scalability, and maintainability

Big Ideas. Real People.

At Orca, in the right environment and with the right team, talent has no boundaries. This team spirit, together with our drive to always aim high, has quickly earned us unicorn status and turned us into a global cloud security innovation leader. So if you’re ready to join an amazing team of people who inspire each other every day, now is the time to find your place in our pod.

We’re looking for driven and talented people like you to join our Sales team and our mission to change the future of cloud security. Ready to dive in and swim with our pod? 

Highlights:

• High-growth: Over the past seven years, we’ve consistently achieved milestones that take other companies a decade or more. During this time, we’ve significantly grown our employee base, expanded our customer reach, and rapidly advanced our product capabilities.
• Disruptive innovation: Our founders saw that traditional security didn’t work for the cloud so they set out to carve a new path. We’re relentless pioneers who invented agentless technology and continue to be the most comprehensive and innovative cloud security company. 
• Well-capitalized: With a valuation of $1.8 billion, Orca is a cybersecurity unicorn dominating the cloud security space. We’re backed by an impressive team of investors such as Capital G, ICONIQ, GGV, and SVCI, a syndicate of CISOs who invest their own money after conducting their due diligence. 
• Respectful and transparent culture: Our executives pride themselves on being accessible to everyone and believe in sharing knowledge with the employees. Each employee has a place in shaping the future of our industry.

About the Role: 

As a Team Lead on the Data Platform, you’ll guide one of Orca’s most strategic engineering groups - the team building and evolving the core data ingestion and processing infrastructure that powers our entire platform. Handling billions of cloud signals daily, the team ensures scalability, reliability, and efficiency across Orca’s architecture.

You’ll lead a group of talented senior engineers, providing both technical and people leadership while staying hands-on in design and implementation. Together, you’ll drive key architectural decisions and evolve our ingestion and processing layers to support real-time pipelines, improve observability, and enable greater horizontal scalability.

We’re looking for an experienced Team Leader eager to make a foundational impact on Orca’s next-generation cloud security data platform.

Our Stack: Python, Go, SingleStore, Postgres, Redis, Kafka, AWS.

What You’ll Do:

• Lead, mentor, and develop a team of senior software engineers through one-on-ones, feedback, and technical guidance
• Own and drive the delivery of high-impact projects end-to-end, from design through deployment and production monitoring
• Design and review architecture for large-scale distributed systems focused on data ingestion, normalization, and availability
• Collaborate cross-functionally with Product, SRE, and other R&D teams to define priorities, interfaces, and success metrics
• Ensure the reliability, scalability, and observability of core services, introducing SLOs and best practices for operations
• Participate in incident management, postmortems, and continuous improvement initiatives
• Foster a culture of technical excellence and accountability within the team
• Write and review clean, maintainable, and tested, take part of the on-call rotation

What You Bring:

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• 7+ years of professional software development experience, including at least 2 years in a team lead role
• Proven experience leading teams that build and operate large-scale, data-intensive systems
• Strong understanding of distributed systems design, concurrency, synchronization, data modeling, and performance optimization
• Hands-on experience with at least one of: Python, Go - Must
• Experience with distributed data processing tools like Kafka (Advantage)
• Hands-on experience with databases such as SingleStore, Postgres, Redis
• Solid understanding of cloud-native architectures and services (AWS preferred)
• Excellent communication and collaboration skills, with the ability to align engineers, product managers, and stakeholders
• Experience mentoring engineers and guiding technical growth
• Comfortable balancing hands-on technical work with people and project leadership responsibilities
• Experience with real-time data processing and streaming pipelines (Advantage)

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.

We seek an open-minded, technical-savvy DevOps Engineer to join our DevOps team.

We are heavily invested in open source and constantly search for new ideas and technologies to help support our fast-growing and diverging business requirements.

Responsibilities:

• Maintain and advance our always-on AWS services production environments.
• Lead efforts to improve its availability, performance & reliability.
• Design and manage our cloud infrastructure.
• Deploy and monitor our code using advanced tools.
• Develop build pipeline together with R&D teams.
• Actively support and work closely with the development teams.

 Requirements:

• 4+ years in similar role
• Expert with Linux systems
• Extensive experience working on the Cloud (AWS services).
• Experience with K8S or equivalent docker management platforms.
• Experience with CI/CD & version control tools (Github Actions, Git, Terraform, Argocd).
• Programming Python/Shell/Go scripts skills.
• Intelligent and self-motivated with a passion for learning cutting-edge technologies.
• Proven experience designing, configuring, and troubleshooting cloud network architecture, with a strong grasp of VPCs, load balancing, firewalls, and DNS management.

Bonus: Familiarity with distributed streaming platforms, with practical experience in Kafka deployment, configuration, and performance tuning.

About the role:

Forter is looking for a highly skilled and motivated Senior II Software Engineer to join the Operational Experience engineering team. The team is part of the Customer Experience group, which is responsible for the platform, tools, and customer-facing experiences that power how Forter’s customers interact with our ecosystem. This is a high-impact, hands-on role, in which you’ll be working closely with product managers, designers, customer-facing teams, and engineering partners across the company.

You will operate at the intersection of backend engineering, data-intensive systems, platform development, and customer experience. The ideal candidate brings strong expertise in Node.js and TypeScript, along with deep experience working with large-scale data stores, event-driven pipelines, data models, and high-throughput infrastructure. You will work closely with cross-functional partners to design and implement robust backend services, data-access patterns, and operational workflows that power the portal and internal tools. As we invest heavily in Agentic AI, you will also play a central role in shaping and implementing AI-driven capabilities across the platform. While the role is primarily backend, you will occasionally contribute across the full stack when it supports end-to-end delivery.

If you enjoy owning complex problems end to end, improving systems at scale, and building experiences that bring real value to customers, we would love to meet you.

What you'll be doing:

• Drive technical direction and architecture within the OX team and across the broader CX organization. You will proactively identify opportunities to improve performance, resilience, cost, scalability, and developer experience, primarily in backend systems but with influence across the stack.
• Lead the development of AI-driven and Agentic AI capabilities. Define how LLMs integrate into our platform, build AI-powered workflows, and establish strong engineering patterns for safe and reliable adoption.
• Own and evolve the data foundations behind the portal. Optimize pipelines, improve data quality and freshness, and design resilient data-access patterns across Snowflake, Elasticsearch, Kafka, Redis, MySQL, and related systems.
• Work closely with product, design, customer-facing teams, and partner engineering groups. Turn ambiguous problems into clear execution plans and ensure alignment with customer and business goals.
• Shape shared standards and platform best practices. Guide other teams on backend services, data integration patterns, portal development approaches, and AI-enabled workflows.
• Mentor and elevate engineers across the CX group. Promote engineering excellence, share knowledge openly, and help teams adopt effective modern development practices.
• Own delivery of high-impact initiatives. Contribute hands-on when needed, remove blockers, maintain execution momentum, and drive projects from concept to production.

What you'll need:

• 6+ years of experience as a software engineer with strong expertise in backend development using Node.js and TypeScript, with the ability to work across the stack when needed.
• Experience building customer-facing products and working closely with product managers, designers, and customer-facing stakeholders.
• Strong familiarity with cloud-native environments. AWS experience is a significant advantage.
• Hands-on experience with distributed systems, event-driven architectures, and datastores such as Redis, Kafka, SQS, Elasticsearch, MySQL, and Snowflake.
• Demonstrated impact in senior engineering roles. You have led complex technical initiatives, influenced product decisions, and helped drive architecture across teams.
• Deep systems thinking with the ability to design and scale robust, performant, and maintainable services.
• Excellent communication and collaboration skills. You can discuss architecture with engineers, roadmap with product managers, and explain tradeoffs to non-technical stakeholders.
• Experience using modern AI development tools such as Cursor, GitHub CoPilot, Lovable, Base44, or similar to accelerate development and improve quality.
• Proven ability to self-manage, work autonomously, and drive projects forward without heavy oversight.

It’d be really cool if you also have:

• Experience building products or workflows powered by LLMs or Agentic AI
• Experience with React, Next.js, and modern frontend patterns
• Experience with micro-frontends or multi-app ecosystem architectures
• Experience building high-scale data pipelines
• Knowledge of Python for tooling, data, or AI workflows
• Experience leading workshops, sharing knowledge internally, or driving community practices

About us: 

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

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

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

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

Life as a Forterian:

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

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

About the role

Forter is seeking a senior back-end engineer passionate about building scalable, resilient systems and driving impact through technology. Join us as we evolve a key product in our portfolio and take a leading role in shaping our Chargeback Coverage & Resolution solution - one of Forter’s standout market offerings.

Chargebacks serve as a consumer protection mechanism, allowing people to reclaim funds for fraudulent charges or disputed purchases. However, this system is often exploited by bad actors engaging in fraudulent activities that harm the businesses behind the products you love.

Our Dispute Group is dedicated to safeguarding these companies, using innovative technology to combat chargeback abuse and protect their growth.

If you're driven by ownership, excited about solving complex challenges, and eager to make a meaningful impact, we’d love to hear from you!

What you'll be doing:

• Develop a fully automated dispute platform to prevent, deflect, and recover chargebacks to reduce revenue loss. The system will support generating millions of dollars in yearly revenue, remove friction, and streamline obsolete operational processes.
• Build and maintain a high-performing, scalable chargeback management system handling tens of thousands of requests daily, originating from various input sources and reporting at changing rates.
• Define and optimize the scale, reliability, observability, and SLOs of the chargeback management platform.

What you'll need:

• 5+ years of experience building and maintaining complex backend systems using modern programming languages, preferably with Node.js and TypeScript experience.
• Passionate and experienced at overseeing a product’s entire lifecycle.
• Experienced designing and working with large-scale distributed systems.
• Strive to uphold top-notch software engineering practices such as high-quality code, thorough testing, and clear & comprehensive documentation.
• Promote production, product, and growth mindsets.
• Strong communication and problem-solving skills.
• Experience with AWS or other public clouds.
• Significant experience with various data stores and pipelines such as Kafka, Redis, ElasticSearch, and MySQL.

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. 

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

About the role:

Forter is looking for a Senior Big Data Engineer to join our growing ML Platform team. This is a great opportunity for an experienced Data Engineer who wants to apply their skills to the world of Machine Learning. Together, we’ll provide the high-throughput tools and distributed systems needed to process billions of data points, ensuring that our models have the feature-rich, reliable data they need to perform in real-time.

ML is central to Forter’s work. It enables us to process billions of dollars worth of e-commerce transactions and identify fraud rings. Precision at scale is crucial—our models depend on engineered features derived from massive datasets. As the volume of data and the complexity of these models grow, we need senior engineers who can solve the "Big Data" challenges inherent in modern MLOps.

Why should you join us?

You’ll be part of a highly proficient engineering team that is the focal point for all ML engineering activity. This role is perfect for a Big Data specialist who wants to own the data-intensive side of ML—building the pipelines and infrastructure that transform raw global traffic into actionable intelligence.

What you will be doing:

• Designing and building the data-heavy components of our ML infrastructure, allowing Forter’s models to make billions of real-time decisions every year.
• Building distributed data processing pipelines that power model training, feature engineering, and offline research at scale.
• Optimizing the "Feature Store" concept—ensuring that the data used for training matches the data used in production for real-time serving.
• Acting as a technical consultant to data scientists and researchers, helping them navigate massive datasets and providing the Spark-based tooling they need to iterate faster.
• Expanding our ML data infrastructure to be scalable and efficient, focusing on the performance of data ingestion and transformation for diverse model types.
• Improving MLOps standards by ensuring data reproducibility, lineage, and quality across the entire model lifecycle.

Who are you?

• 5+ years of experience with large-scale data processing, with deep expertise in Apache Spark.
• 5+ years developing complex software with at least one general-purpose language (preferably Python or Scala).
• Backend and server-side development experience of complex, highly scalable systems.
• Strong understanding of Data Engineering patterns (Partitioning, Sharding, Schema evolution) and how they apply to model performance.
• Interest in Machine Learning concepts—you don't need to be a researcher, but you should understand how data flows into a model.
• Experience working with public clouds (AWS / GCP / Azure).
• Fluent in written and spoken English.

It’d be really cool if you also:

• Are familiar with Databricks or Airflow for orchestrating complex ML workflows.
• Are comfortable in a containerized environment (Kubernetes/Docker).
• Have experience with low-latency, real-time data serving or streaming (Kafka).

About Kape Technologies

Kape is a cybersecurity company focused on helping everyone have a better digital experience with greater privacy and protection. With over 1000 experienced individuals across ten global locations, including the UK, Israel, Germany, Romania, France, the Philippines, USA, Singapore, Hong Kong, and Cyprus, the Kape team is guided by a single mission: to create a more secure and safe world.

Job Summary

We are seeking a highly skilled and hands-on Senior Data Engineer to architect and maintain modern data infrastructure and pipelines.

This is a technical role focused on building a scalable data platform that powers analytics, insights, and agentic workflows to enable data-driven decision making across the company. You will work closely with analysts, product, and engineering teams to design end-to-end data solutions using tools like AWS Redshift, Athena, Snowflake, and other leading cloud platforms.

Core Responsibilities

• Design and build scalable data pipelines to ingest, process, and store large volumes of structured and unstructured data from diverse sources. 
• Develop and maintain robust data warehouse architectures leveraging tools such as AWS Redshift, Athena, and Snowflake. 
• Optimize data models, queries, and storage strategies for performance, scalability, and cost-effectiveness. 
• Collaborate with cross-functional stakeholders (analytics, product, payments and finance) to gather requirements and deliver data solutions that support business goals. 
• Ensure data quality, security, and privacy through best practices in governance, testing, and monitoring. 
• Own and operate production data workflows, resolving incidents and ensuring reliability. 
• Develop and maintain infrastructure optimized for both analytics and AI workloads, including transformation and semantic layers.
• Design and monitor agentic flows aimed at democratizing data access for users across the company, ensuring reliability, scalability, and accuracy.

Tech Stack

• Languages & Tools: Python, SQL 
• Data Warehousing & Query Engines: Snowflake, AWS Redshift, Athena 
• Pipeline & Orchestration: Apache Airflow, AWS Glue, dbt 
• Cloud & DevOps: AWS (Lambda, S3, IAM), Docker, Terraform 
• Streaming: Kafka, Kinesis 
• BI & Analytics: Tableau, Power BI

Core Requirements

• Bachelor's or Master’s degree in Computer Science, Engineering, or related field
• 5+ years of experience as a Data Engineer, with a strong focus on data pipeline development and data warehousing
• Deep proficiency in Snowflake or AWS Redshift
• Strong programming skills in Python and SQL
• Hands-on experience building LLM-powered applications or workflows in a production environment for analytical use cases, for example ‘ask your data’ interfaces
• Experience with pipeline orchestration tools (Airflow, Glue, dbt)
• Solid understanding of data modeling, schema design, and ETL/ELT processes
• Strong analytical, problem-solving, and communication skills
• Ability to work cross-functionally and mentor others
• Experience in high-growth, product-led, or SaaS environments

Nice to Have

• Familiarity with AWS infrastructure and DevOps practices
• Knowledge of data privacy and security standards (GDPR, SOC2)
• Solid understanding of agent architectures (tool use, planning, memory management), prompt engineering and evaluation

The Connectors team is the bridge between ClickHouse and the broader data ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.

Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.

About the role

As a Senior Software Engineer specializing in Python and the Data Ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.

We're looking for someone who has lived the Data Engineer or Data Scientist experience firsthand. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.

You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across:

• Orchestration Platforms: Apache Airflow, Dagster, Prefect
• Transformation Tools: dbt, SQLMesh
• AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications

ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.

What you'll do

• Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
• Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards
• Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
• Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
• Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
• Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows

About you

• 7+ years of software development experience, ideally with hands-on time as a Data Engineer, Data Scientist, or ML Engineer
• Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
• Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
• Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect)
• Hands-on experience with AI/ML in data engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling in production, not just experimentation
• Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
• Solid experience with concurrent Python: threading, multiprocessing, and async patterns
• Outstanding written and verbal communication skills; comfortable collaborating across engineering functions and with open-source communities

Bonus points for:

• Experience deploying AI/ML models in production, including inference APIs and vector databases
• Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
• Familiarity with ClickHouse or similar high-performance OLAP platforms
• Familiarity with the JVM ecosystem

Eligible locations:

• USA
• Canada
• UK
• Portugal
• Spain
• France
• Italy
• Germany
• Netherlands
• Poland
• Czech republic
• Israel
• UAE

The Connectors team is the bridge between ClickHouse and the broader data ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.

Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.

About the role

As a Senior Software Engineer specializing in Python and the Data Ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.

We're looking for someone who has lived the Data Engineer or Data Scientist experience firsthand. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.

You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across:

• Orchestration Platforms: Apache Airflow, Dagster, Prefect
• Transformation Tools: dbt, SQLMesh
• AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications

ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.

What you'll do

• Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
• Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards
• Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
• Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
• Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
• Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows

About you

• 7+ years of software development experience, ideally with hands-on time as a Data Engineer, Data Scientist, or ML Engineer
• Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
• Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
• Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect)
• Hands-on experience with AI/ML in data engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling in production, not just experimentation
• Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
• Solid experience with concurrent Python: threading, multiprocessing, and async patterns
• Outstanding written and verbal communication skills; comfortable collaborating across engineering functions and with open-source communities

Bonus points for:

• Experience deploying AI/ML models in production, including inference APIs and vector databases
• Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
• Familiarity with ClickHouse or similar high-performance OLAP platforms
• Familiarity with the JVM ecosystem

Eligible locations:

• USA
• Canada
• UK
• Portugal
• Spain
• France
• Italy
• Germany
• Netherlands
• Poland
• Czech republic
• Israel
• UAE

The Connectors team is the bridge between ClickHouse and the broader data ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.

Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.

About the role

As a Senior Software Engineer specializing in Python and the Data Ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.

We're looking for someone who has lived the Data Engineer or Data Scientist experience firsthand. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.

You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across:

• Orchestration Platforms: Apache Airflow, Dagster, Prefect
• Transformation Tools: dbt, SQLMesh
• AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications

ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.

What you'll do

• Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
• Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards
• Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
• Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
• Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
• Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows

About you

• 7+ years of software development experience, ideally with hands-on time as a Data Engineer, Data Scientist, or ML Engineer
• Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
• Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
• Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect)
• Hands-on experience with AI/ML in data engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling in production, not just experimentation
• Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
• Solid experience with concurrent Python: threading, multiprocessing, and async patterns
• Outstanding written and verbal communication skills; comfortable collaborating across engineering functions and with open-source communities

Bonus points for:

• Experience deploying AI/ML models in production, including inference APIs and vector databases
• Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
• Familiarity with ClickHouse or similar high-performance OLAP platforms
• Familiarity with the JVM ecosystem

The Connectors team is the bridge between ClickHouse and the broader data ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.

Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.

About the role

As a Senior Software Engineer specializing in Python and the Data Ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.

We're looking for someone who has lived the Data Engineer or Data Scientist experience firsthand. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.

You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across:

• Orchestration Platforms: Apache Airflow, Dagster, Prefect
• Transformation Tools: dbt, SQLMesh
• AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications

ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.

What you'll do

• Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
• Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards
• Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
• Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
• Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
• Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows

About you

• 7+ years of software development experience, ideally with hands-on time as a Data Engineer, Data Scientist, or ML Engineer
• Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
• Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
• Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect)
• Hands-on experience with AI/ML in data engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling in production, not just experimentation
• Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
• Solid experience with concurrent Python: threading, multiprocessing, and async patterns
• Outstanding written and verbal communication skills; comfortable collaborating across engineering functions and with open-source communities

Bonus points for:

• Experience deploying AI/ML models in production, including inference APIs and vector databases
• Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
• Familiarity with ClickHouse or similar high-performance OLAP platforms
• Familiarity with the JVM ecosystem

Eligible locations:

• USA
• Canada
• UK
• Portugal
• Spain
• France
• Italy
• Germany
• Netherlands
• Poland
• Czech republic
• Israel
• UAE

The Connectors team is the bridge between ClickHouse and the broader data ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.

Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.

About the role

As a Senior Software Engineer specializing in Python and the Data Ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.

We're looking for someone who has lived the Data Engineer or Data Scientist experience firsthand. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.

You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across:

• Orchestration Platforms: Apache Airflow, Dagster, Prefect
• Transformation Tools: dbt, SQLMesh
• AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications

ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.

What you'll do

• Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
• Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards
• Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
• Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
• Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
• Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows

About you

• 7+ years of software development experience, ideally with hands-on time as a Data Engineer, Data Scientist, or ML Engineer
• Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
• Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
• Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect)
• Hands-on experience with AI/ML in data engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling in production, not just experimentation
• Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
• Solid experience with concurrent Python: threading, multiprocessing, and async patterns
• Outstanding written and verbal communication skills; comfortable collaborating across engineering functions and with open-source communities

Bonus points for:

• Experience deploying AI/ML models in production, including inference APIs and vector databases
• Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
• Familiarity with ClickHouse or similar high-performance OLAP platforms
• Familiarity with the JVM ecosystem

The Connectors team is the bridge between ClickHouse and the entire data ecosystem. We build and maintain the connectors that make ClickHouse accessible to millions of developers and data practitioners worldwide. Our work spans from low-level database integrations to high-level data visualization plugins, ensuring that ClickHouse seamlessly integrates with the tools our users already know and love.

We're responsible for the official data connectors (Kafka, dbt, Spark, Flink, Beam, Fivetran), and integrations with leading visualization platforms (Grafana, Tableau, Power BI, Metabase).

What will you do?

As a Senior Software Engineer specializing in JVM-based frameworks, you'll serve as a core contributor, owning and maintaining critical parts of ClickHouse's Data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience, where you'll craft tools that enable Data Engineers to harness ClickHouse's incredible speed and scale.

You'll own the full lifecycle of data framework integrations - from the core database driver that handles billions of records per second, to SDKs and connectors that make ClickHouse feel native in JVM-based applications. This isn't just about writing code; you're building the foundation that thousands of Data engineers rely on for their most critical data workloads.

Your work will directly impact how companies process massive datasets, from real-time analytics platforms ingesting millions of events per second to observability systems monitoring global infrastructure. You'll collaborate closely with the open-source community, internal teams, and enterprise users to ensure our JVM integrations set the standard for performance, reliability, and developer experience.

About you:

• 6+ years of software development experience focusing on building and delivering high-quality, data-intensive solutions.
• Proven experience with the internals of at least one of the following technologies: Apache Spark, Apache Flink, Kafka Connect, or Apache Beam.
• Experience developing or extending connectors, sinks, or sources for at least one big data processing framework such as Apache Spark, Flink, Beam, or Kafka Connect.
• Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases.

A track record of building scalable data integration systems (beyond simple ETL jobs)

• Strong proficiency in Java and the JVM ecosystem, including deep knowledge of memory management, garbage collection tuning, and performance profiling.
• Solid experience with concurrent programming in Java, including threads, executors, and reactive or asynchronous patterns.
• Outstanding written and verbal communication skills to collaborate effectively within the team and across engineering functions.
• Understanding of JDBC, network protocols (TCP/IP, HTTP), and techniques for optimizing data throughput over the wire.
• Passion for open-source development.

Bonus points for:

• Prior contributions to open-source projects: actively engaging with the OSS community, advocating for users, and influencing the evolution of the core system through your contributions.
• Familiarity with ClickHouse or similar high-performance data platforms.
• Working knowledge of Python, especially in data engineering contexts (e.g., Pandas, PySpark, Airflow), and ability to contribute to Python tooling when needed.

The Connectors team is the bridge between ClickHouse and the entire data ecosystem. We build and maintain the connectors that make ClickHouse accessible to millions of developers and data practitioners worldwide. Our work spans from low-level database integrations to high-level data visualization plugins, ensuring that ClickHouse seamlessly integrates with the tools our users already know and love.

We're responsible for the official data connectors (Kafka, dbt, Spark, Flink, Beam, Fivetran), and integrations with leading visualization platforms (Grafana, Tableau, Power BI, Metabase).

What will you do?

As a Senior Software Engineer specializing in JVM-based frameworks, you'll serve as a core contributor, owning and maintaining critical parts of ClickHouse's Data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience, where you'll craft tools that enable Data Engineers to harness ClickHouse's incredible speed and scale.

You'll own the full lifecycle of data framework integrations - from the core database driver that handles billions of records per second, to SDKs and connectors that make ClickHouse feel native in JVM-based applications. This isn't just about writing code; you're building the foundation that thousands of Data engineers rely on for their most critical data workloads.

Your work will directly impact how companies process massive datasets, from real-time analytics platforms ingesting millions of events per second to observability systems monitoring global infrastructure. You'll collaborate closely with the open-source community, internal teams, and enterprise users to ensure our JVM integrations set the standard for performance, reliability, and developer experience.

About you:

• 6+ years of software development experience focusing on building and delivering high-quality, data-intensive solutions.
• Proven experience with the internals of at least one of the following technologies: Apache Spark, Apache Flink, Kafka Connect, or Apache Beam.
• Experience developing or extending connectors, sinks, or sources for at least one big data processing framework such as Apache Spark, Flink, Beam, or Kafka Connect.
• Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases.

A track record of building scalable data integration systems (beyond simple ETL jobs)

• Strong proficiency in Java and the JVM ecosystem, including deep knowledge of memory management, garbage collection tuning, and performance profiling.
• Solid experience with concurrent programming in Java, including threads, executors, and reactive or asynchronous patterns.
• Outstanding written and verbal communication skills to collaborate effectively within the team and across engineering functions.
• Understanding of JDBC, network protocols (TCP/IP, HTTP), and techniques for optimizing data throughput over the wire.
• Passion for open-source development.

Bonus points for:

• Prior contributions to open-source projects: actively engaging with the OSS community, advocating for users, and influencing the evolution of the core system through your contributions.
• Familiarity with ClickHouse or similar high-performance data platforms.
• Working knowledge of Python, especially in data engineering contexts (e.g., Pandas, PySpark, Airflow), and ability to contribute to Python tooling when needed.

The Connectors team is the bridge between ClickHouse and the entire data ecosystem. We build and maintain the connectors that make ClickHouse accessible to millions of developers and data practitioners worldwide. Our work spans from low-level database integrations to high-level data visualization plugins, ensuring that ClickHouse seamlessly integrates with the tools our users already know and love.

We're responsible for the official data connectors (Kafka, dbt, Spark, Flink, Beam, Fivetran), and integrations with leading visualization platforms (Grafana, Tableau, Power BI, Metabase).

What will you do?

As a Senior Software Engineer specializing in JVM-based frameworks, you'll serve as a core contributor, owning and maintaining critical parts of ClickHouse's Data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience, where you'll craft tools that enable Data Engineers to harness ClickHouse's incredible speed and scale.

You'll own the full lifecycle of data framework integrations - from the core database driver that handles billions of records per second, to SDKs and connectors that make ClickHouse feel native in JVM-based applications. This isn't just about writing code; you're building the foundation that thousands of Data engineers rely on for their most critical data workloads.

Your work will directly impact how companies process massive datasets, from real-time analytics platforms ingesting millions of events per second to observability systems monitoring global infrastructure. You'll collaborate closely with the open-source community, internal teams, and enterprise users to ensure our JVM integrations set the standard for performance, reliability, and developer experience.

About you:

• 6+ years of software development experience focusing on building and delivering high-quality, data-intensive solutions.
• Proven experience with the internals of at least one of the following technologies: Apache Spark, Apache Flink, Kafka Connect, or Apache Beam.
• Experience developing or extending connectors, sinks, or sources for at least one big data processing framework such as Apache Spark, Flink, Beam, or Kafka Connect.
• Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases.

A track record of building scalable data integration systems (beyond simple ETL jobs)

• Strong proficiency in Java and the JVM ecosystem, including deep knowledge of memory management, garbage collection tuning, and performance profiling.
• Solid experience with concurrent programming in Java, including threads, executors, and reactive or asynchronous patterns.
• Outstanding written and verbal communication skills to collaborate effectively within the team and across engineering functions.
• Understanding of JDBC, network protocols (TCP/IP, HTTP), and techniques for optimizing data throughput over the wire.
• Passion for open-source development.

Bonus points for:

• Prior contributions to open-source projects: actively engaging with the OSS community, advocating for users, and influencing the evolution of the core system through your contributions.
• Familiarity with ClickHouse or similar high-performance data platforms.
• Working knowledge of Python, especially in data engineering contexts (e.g., Pandas, PySpark, Airflow), and ability to contribute to Python tooling when needed.

The Connectors team is the bridge between ClickHouse and the entire data ecosystem. We build and maintain the connectors that make ClickHouse accessible to millions of developers and data practitioners worldwide. Our work spans from low-level database integrations to high-level data visualization plugins, ensuring that ClickHouse seamlessly integrates with the tools our users already know and love.

We're responsible for the official data connectors (Kafka, dbt, Spark, Flink, Beam, Fivetran), and integrations with leading visualization platforms (Grafana, Tableau, Power BI, Metabase).

What will you do?

As a Senior Software Engineer specializing in JVM-based frameworks, you'll serve as a core contributor, owning and maintaining critical parts of ClickHouse's Data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience, where you'll craft tools that enable Data Engineers to harness ClickHouse's incredible speed and scale.

You'll own the full lifecycle of data framework integrations - from the core database driver that handles billions of records per second, to SDKs and connectors that make ClickHouse feel native in JVM-based applications. This isn't just about writing code; you're building the foundation that thousands of Data engineers rely on for their most critical data workloads.

Your work will directly impact how companies process massive datasets, from real-time analytics platforms ingesting millions of events per second to observability systems monitoring global infrastructure. You'll collaborate closely with the open-source community, internal teams, and enterprise users to ensure our JVM integrations set the standard for performance, reliability, and developer experience.

About you:

• 6+ years of software development experience focusing on building and delivering high-quality, data-intensive solutions.
• Proven experience with the internals of at least one of the following technologies: Apache Spark, Apache Flink, Kafka Connect, or Apache Beam.
• Experience developing or extending connectors, sinks, or sources for at least one big data processing framework such as Apache Spark, Flink, Beam, or Kafka Connect.
• Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases.

A track record of building scalable data integration systems (beyond simple ETL jobs)

• Strong proficiency in Java and the JVM ecosystem, including deep knowledge of memory management, garbage collection tuning, and performance profiling.
• Solid experience with concurrent programming in Java, including threads, executors, and reactive or asynchronous patterns.
• Outstanding written and verbal communication skills to collaborate effectively within the team and across engineering functions.
• Understanding of JDBC, network protocols (TCP/IP, HTTP), and techniques for optimizing data throughput over the wire.
• Passion for open-source development.

Bonus points for:

• Prior contributions to open-source projects: actively engaging with the OSS community, advocating for users, and influencing the evolution of the core system through your contributions.
• Familiarity with ClickHouse or similar high-performance data platforms.
• Working knowledge of Python, especially in data engineering contexts (e.g., Pandas, PySpark, Airflow), and ability to contribute to Python tooling when needed.