דרושים » תוכנה » Senior Software Engineer - Data Acquistion (Field Team)

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24/08/2026
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12/10/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
As a Senior Software Engineer, you will be responsible for designing and building core backend services and product capabilities, working on scalable systems that handle large volumes of security-related data, and developing robust features that improve security posture in cloud environments.

The ideal candidate will have strong software engineering foundations, a product-minded approach, and experience building distributed systems in production.

You will collaborate closely with Product, Research, and Engineering teams to deliver secure, performant, and reliable solutions end-to-end.

You will work within the engineering department, contributing to architecture decisions, improving code quality, scalability, and reliability, while maintaining strong ownership over development and delivery in a fast-paced environment.

Responsibilities
Design, develop, and maintain high-scale backend services and APIs.
Build features that identify and prevent cloud misconfigurations and security risks.
Write clean, maintainable, and testable code with high engineering standards.
Participate in system design and architecture discussions (scalability, reliability, performance).
Collaborate with Product, Research, and other engineering teams to define and implement end-to-end solutions.
Optimize performance and improve system reliability, monitoring, and observability.
Take ownership over services in production, including troubleshooting and incident resolution.
Contribute to engineering best practices: code reviews, technical documentation, CI/CD improvements.
Support and mentor other engineers, helping grow the teams technical excellence.
Requirements:
5+ years of experience as a Software Engineer, building production-grade systems.
Strong experience with backend development and building scalable services.
Proficiency in one or more modern programming languages such as Go / Python / Java / Node.js - Go adds more points, but all accepted.
Experience designing and working with distributed systems, microservices, and event-driven architectures.
Strong understanding of data structures, system design, and engineering fundamentals.
Experience working with databases (SQL) and designing data models.
Familiarity with cloud environments (AWS preferred, GCP or Azure also relevant).
Experience with Docker and Kubernetes - advantage.
Strong troubleshooting skills, ownership mindset, and ability to work independently.
Excellent communication skills and a collaborative, can-do approach.
Experience working in a fast-paced startup environment - advantage.
Background or interest in security / cloud security - strong advantage.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a senior engineer who is ready to move beyond traditional software development and take full ownership of product delivery.

This is not a classic backend engineering role. You will work directly with Product to turn ideas and requirements into production-ready solutions, make the technical decisions, and use AI coding agents as a core part of your engineering workflow.

You will own the outcome, not just the code. AI-generated code is your code, and you are accountable for its quality, security, performance, and maintainability.


Own product features end-to-end, from requirements through production and monitoring.
Work with Product to translate business problems into clear technical solutions and execution plans.
Design scalable and maintainable solutions, including architecture, APIs, data models, and integrations.
Use AI coding agents to accelerate implementation, testing, debugging, and automation.
Review and improve AI-generated code, ensuring high standards for correctness, security, performance, and maintainability.
Make independent technical decisions and communicate architectural trade-offs clearly.
Contribute across backend, frontend, QA, CI/CD, and infrastructure when needed to deliver a feature.
Investigate and solve complex production and performance issues.
Continuously improve how we build, test, and ship software using AI-native development practices.
Requirements:
BSc in Computer Science or equivalent experience.
7+ years of experience building and shipping production software, with a strong track record of owning features or systems end-to-end.
Strong system design fundamentals and experience building scalable SaaS systems in the cloud.
Ability to make sound architectural decisions independently and understand technical trade-offs.
Solid understanding of REST APIs, asynchronous programming, distributed systems, microservices, and testing.
Hands-on experience with AI coding tools such as Claude Code, Cursor, Codex, GitHub Copilot, or similar.
Strong ability to review, challenge, and improve AI-generated code rather than relying on it blindly.
Strong product mindset, with the ability to balance technical and business priorities and focus on solving the underlying problem.
Strong ownership mentality and ability to drive work independently from idea to production.
Excellent communication skills and high proficiency in English, with the ability to work directly with Product and engineering teams.
This position is open to all candidates.
 
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04/10/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
At Check Point, what you do matters. Every day, we protect over 100,000 organizations worldwide from increasingly sophisticated cyber and AI-driven threats, securing their AI transformation.
Our prevention-first approach safeguards hybrid networks, cloud environments, digital workspaces, and AI systems, stopping attacks before they happen.
This is where innovation meets real-world impact. Youll help customers across industries operate with confidence in a rapidly changing digital world, working alongside smart, curious people who take ownership, challenge assumptions, and solve complex problems.
Were proud to be recognized by TIME, Newsweek, and Forbes for excellence and workplace culture.
What really sets Check Point apart is the opportunity to grow, contribute, and help companies navigate their AI transformation securely.
If youre excited to work at the forefront of AI-driven security on a global scale, this is the place to do it.
Key Responsibilities
About the Team
We are looking for a passionate Full Stack Engineer to join our team, building modern, scalable, and intuitive web applications.
Our team owns user-facing capabilities end-to-end, from rich React experiences and frontend architecture to API integrations and supporting backend services. We work closely with product, UX, platform, and engineering teams to turn complex requirements into simple, reliable, and high-quality solutions.
AI is an integral part of how we work. We are looking for engineers who know how to use modern AI tools effectively and responsibly throughout the development lifecycle, including problem-solving, coding, debugging, testing, and code review.
This is an opportunity to take ownership of meaningful features, influence technical decisions, and help shape both our product and the way our team builds software.
Your Impact & Responsibilities
Design, develop, and maintain scalable web applications using React and TypeScript.
Build and integrate APIs and backend services that support complex user-facing workflows.
Own features end-to-end, from requirements and technical planning through implementation, testing, deployment, and production monitoring.
Create reusable frontend components and contribute to a consistent and maintainable application architecture.
Work with API contracts, asynchronous data flows, error handling, authentication, and application state.
Improve application performance, usability, reliability, security, and developer experience.
Use AI-assisted development tools and workflows to accelerate delivery while maintaining high standards of correctness, security, and code quality.
Review and validate AI-generated outputs rather than relying on them blindly.
Collaborate closely with product managers, UX designers, backend developers, and other engineering teams.
Contribute to technical discussions, architecture decisions, code reviews, and engineering best practices.
Requirements:
3+ years of experience as a Software Engineer or Full Stack Developer.
Strong communication skills, an ownership mindset, and a collaborative "Can Do" attitude.
Strong hands-on experience with React, TypeScript, and server-side API development and integration.
Experience developing production-grade web applications using modern frontend architecture and development practices.
Strong understanding of REST APIs, HTTP, authentication, asynchronous programming, and client-server communication.
Practical experience using AI-assisted development tools such as GitHub Copilot, Cursor, ChatGPT, Claude, or similar tools.
Understanding of effective prompting, context management, output validation, and the security and privacy considerations involved in using AI tools.
Solid software engineering fundamentals, including clean code, design principles, data structures, problem-solving, and maintainability.
Fast learner with the ability to quickly understand existing systems, codebases, and technologies.
This position is open to all candidates.
 
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14/10/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior Full-Stack Engineer to join our engineering organization and play a key role in building and evolving complex products and platforms at scale.
In this role, you will work across frontend, backend, and data layers, taking end-to-end ownership of meaningful features and systems.
From design and implementation through deployment and production support. You will collaborate closely with product, design, and engineering partners to deliver high-quality solutions that support business goals, internal efficiency, and scalable growth.
Responsibilities:
End-to-End Full-Stack Development
Design, develop, and maintain complex features and systems across frontend, backend services, and databases
Own features throughout their full lifecycle: design, implementation, testing, deployment, and ongoing production support
Hands-On Engineering
Write high-quality, production-grade code with a strong focus on reliability, performance, scalability, and maintainability
Contribute across the stack while making thoughtful trade-offs between speed, quality, and long-term sustainability
Product & Stakeholder Collaboration
Work closely with internal stakeholders to understand requirements and translate them into effective technical solutions
Actively participate in planning, estimation, and iterative delivery
Architecture & Technical Design
Contribute to system design and architectural decisions with a long-term, platform-oriented mindset
Help evolve existing systems and design new components that support growth, reuse, and operational excellence
Engineering Excellence
Promote and uphold best practices in software engineering, including clean code, testing strategies, CI/CD pipelines, and observability
Participate in code reviews and technical discussions to maintain high standards across the codebase
Technical Leadership & Knowledge Sharing
Serve as a technical role model through collaboration, mentorship, and constructive feedback.
Share knowledge and help raise the overall engineering bar across teams.
Requirements:
8+ years of professional experience building complex software systems
Proven hands-on experience delivering large-scale production systems end-to-end, including design, development, deployment, and maintenance.
Strong understanding of computer science fundamentals - object-oriented design, data structures, performance, and complexity.
Experience working across both frontend and backend domains
A strong sense of ownership and accountability for the systems and features you build
Excellent communication skills and professional proficiency in English
Curiosity, self-learning ability, and a proactive, problem-solving mindset
Nice to Have
BSc/MSc in Computer Science or equivalent practical experience
Experience with relational databases (e.g., PostgreSQL or similar)
Familiarity with production monitoring, logging, and observability tools
Experience with containers and infrastructure tooling (e.g., Docker, Terraform, or similar).
This position is open to all candidates.
 
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30/09/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a Senior Applied AI Engineer who combines deep data science expertise with the engineering skills to turn research into reliable, production-ready products.
Youll be a hands-on technical leader, owning significant AI capabilities from problem definition, academic survey, and system design through research, experimentation, deployment, and continuous improvement. Your work will span classical machine learning, large-scale data analysis, and AI agents that power brand intelligence, market research, and performance marketing.

You should have a track record of driving complex projects, not just contributing to them, and be comfortable making technical decisions, navigating ambiguity, and delivering in a fast-moving startup environment. Youll build systems that Fortune 500 marketing teams rely on to make consequential business decisions.
Responsibilities
Own AI capabilities end to end. Translate business and product needs into well-defined problems, research plans, and technical designs. Take solutions from initial exploration through production deployment and ongoing improvement.
Develop and improve our core algorithms.
Build production-grade AI agents - performance marketing, market research agents, auto-ML agents.
Turn research into maintainable software. Build reusable modules, data pipelines, and services with clear interfaces, automated tests, and robust deployment practices-not just standalone prototypes.
Own quality and performance in production. Monitor system behavior, investigate failure cases, and continuously improve accuracy, reliability, latency, and cost as usage and data volumes grow.
Drive technical decisions and execution. Choose the right approach for each problem, balancing statistical methods, classical ML, and LLM-based systems. Make explicit trade-offs between research depth, delivery speed, and operational complexity.
Provide hands-on technical leadership. Partner with product and engineering to shape priorities, lead technical initiatives, review designs and code, and mentor teammates.
Requirements:
MSc or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
5+ years of experience in data science or applied machine learning, plus 2+ years in ML engineering or software engineering, with direct responsibility for deploying and maintaining production systems.
Proven ownership of significant AI products or features. You have been a primary technical driver, taking ambiguous problems from initial concept to a working product used by real customers.
Strong foundations in machine learning and statistics, including experimental design, model evaluation, and practical experience with NLP, embeddings, clustering, or related methods for analyzing unstructured data.
Strong Python, SQL and Typescript skills, alongside solid software engineering practices: modular architecture, automated testing, version control, code reviews, and maintainable production code.
Hands-on experience building LLM-powered applications or AI agents beyond the prototype stage, including tool calling, structured outputs, context management, and systematic evaluation
Experience deploying and operating systems in a cloud environment, including containerization, CI/CD pipelines, logging, monitoring, and debugging production issues.
Strong product judgment and independent execution. You can define milestones, prioritize experiments, communicate technical trade-offs, and collaborate effectively across product, engineering, and business teams in a fast-moving environment.
Advantage
Experience as a core technical contributor at a high-growth startup, building new products and scaling them as adoption grows.
Experience in advertising technology, marketing analytics, search, information retrieval, ranking, or recommendation systems.
Familiarity with agent frameworks and SDKs such as ADK, LangChain, or comparable tooling.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Sr. Staff Backend Engineer to join our team. This is a Hybrid (Ramat Gan) role, reporting to the Manager, Software Engineering in the Exposure Management & Security Operations department. Avalor, now part of Zscaler, powers the data foundation behind Security Operations platform, ingesting, unifying, and contextualizing data from hundreds of security and business tools to power security modules that deliver actionable insights and measurable risk reduction to our customers. In this role, you'll own complex backend systems that sit at the heart of our data platform, designing and building services that ingest, process, and move massive amounts of data reliably and at scale for enterprise customers worldwide.

What youll do (Role Expectations)

Developing and maintaining high-quality, scalable backend services within a microservices architecture using Java/Spring Boot and Python
Designing and building data pipelines and ETL workflows that ingest, transform, and unify data from diverse sources at enterprise scale
Leading solutions from scratch to production; creating technical designs, driving architectural decisions and taking full ownership of complex projects - from design and implementation through deployment, monitoring performance, reliability and cost, and proactively driving improvements
Collaborating closely with cross-functional partners - product managers, frontend/backend engineers and UX designers
Serving as a technical anchor for the team - leading design discussions, setting engineering standards, and driving best practices across the codebase
Who You Are (Success Profile)

You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
Requirements:
Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
5+ years of proven backend software engineering experience building and shipping complex SaaS solutions in production, with proficiency in Java/Spring Boot or a comparable high-level backend language
Hands-on experience with data-intensive systems, including ETL pipelines, big data stores, and high-throughput data processing
Proficiency in high-scale, multi-tenant cloud architecture, including microservices, Docker, Kubernetes, and workflow orchestration
Proven ability to lead end-to-end technical work autonomously from design to deployment, paired with excellent communication and collaboration skills
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
In this role, you will architect and implement large-scale distributed systems, low-level platform components, and high-performance services that underpin core product stack. You will drive technical strategy across system reliability, performance, and scalability, partnering closely with product, infrastructure, and data engineering teams to deliver systems that operate at global scale with high availability and efficiency.
Software Engineer, Systems Responsibilities
Architect and implement large-scale distributed systems and platform services that support high-throughput, low-latency workloads across Meta's product infrastructure
Lead the technical design of systems components including storage layers, compute pipelines, networking abstractions, and service orchestration frameworks
Identify and resolve systemic performance bottlenecks through instrumentation, profiling, and targeted optimization across the full systems stack
Define and enforce service level objectives for owned systems, building dashboards, alerting pipelines, and runbooks to reduce mean time to mitigation during incidents
Drive reliability improvements by reducing failure surface, designing resilient rollout strategies, and leading regular resiliency and overload testing exercises
Collaborate with cross-functional partners across product engineering, infrastructure, and data science to align system architecture with evolving product and business requirements
Establish and evolve coding standards, architectural patterns, and engineering best practices for systems development across the broader organization
Leverage AI-assisted development workflows to accelerate design iteration, code generation, and systems analysis, applying sound judgment on when to rely on AI versus deep systems expertise
Mentor other engineers on systems design principles, debugging methodologies, and production operations, and contribute to onboarding programs for new team members
Lead incident retrospectives, identify root causes of complex production failures, and drive implementation of systemic improvements to prevent recurrence
Requirements:
8+ years of experience designing and implementing large-scale distributed systems, platform infrastructure, or systems software in production environments
Experience leading major technical initiatives end-to-end, including architecture design, cross-team coordination, staged rollout, and post-launch reliability ownership
Experience debugging complex, non-reproducible systems issues including concurrency bugs, memory management failures, and distributed consistency problems
Experience defining service level objectives, building observability infrastructure, and driving reliability improvements across production systems
Experience communicating technical architecture decisions and trade-offs in writing to both engineering and non-engineering stakeholders
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior Software Architect to help define and evolve the architecture of our SaaS platform and core products. You will work closely with product, delivery, and engineering squads to design scalable, reliable systems, set technical direction, and guide teams in making high‑quality architectural decisions that balance delivery speed with long‑term sustainability.
This is a hands‑on, senior technical leadership role: you will spend most of your time shaping architectures with teams, reviewing designs and critical code, and driving shared standards and patterns across the organization, all in an advance agentic environment.
Responsibilities:
Architecture & technical leadership
Define and evolve the architecture for key domains in our platform (APIs, services, data flows, integration, observability, security).
Translate business and product requirements into clear, pragmatic technical designs and architecture roadmaps.
Create and maintain architecture artefacts: diagrams, decision records (ADRs), reference implementations, and guidelines.
Evaluate design options and technology choices, articulate trade‑offs, and lead the decision‑making process with stakeholders.
Push forward the agentic mindset and implementation.
Working with squads (R&D)
Partner with squad leads and senior engineers to design solutions, break down complex problems, and keep implementations aligned with the target architecture.
Participate in design / tech reviews, ensuring non‑functional requirements (performance, resilience, security, operability) are addressed early.
Provide hands‑on support where it matters most: spike and prototype critical flows, review complex pull requests, and help debug tricky production issues.
Partnering with Product
Collaborate with Product to shape technical feasibility, sequencing, and scope for roadmap items and cross‑squad initiatives.
Communicate complex technical topics in simple language to non‑technical stakeholders when discussing roadmap options and trade‑offs.
Standards, reuse, and platform mindset
Define and promote architecture principles, coding standards, and reusable patterns (modules, libraries, services) that reduce duplication and technical debt.
Champion platform thinking: design services and components that can be safely reused across teams and products.
Drive adoption of shared platform capabilities (observability, CI/CD, authentication, data, DevOps tooling) across squads.
Quality, reliability, and continuous improvement
Ensure architectures are observable, operable, and resilient by design; partner with DevOps/SRE on deployment, monitoring, and incident response.
Identify areas of high technical debt or architectural risk and lead structured remediation initiatives.
Help define and track technical KPIs (e.g., performance, reliability, incident volume) tied to architecture decisions.
Mentoring and leadership
Act as a technical mentor and sounding board for senior engineers and tech leads, helping them grow their architecture skills.
Foster a culture of thoughtful design, documentation, and constructive technical debate.
Lead by influence rather than authority: you help teams make better decisions instead of making every decision for them.
דרישות:
8+ years of experience in software engineering, including several years in a senior / staff / architect role designing complex systems.
Strong experience with modern backend and distributed architectures (microservices or modular monoliths, event‑driven patterns, robust APIs).
Solid understanding of cloud‑native architecture (e.g., AWS/Azure/GCP), containers, and infrastructure‑as‑code practices.
Proven ability to design for scale, performance, security, and reliability in production SaaS environments.
Hands‑on experience with at least one major language and ecosystem used in our stack (e.g., Java, Python, Node.js, or similar המשרה מיועדת לנשים ולגברים כאחד.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We're hiring a Senior/Principal Site Reliability Engineer to own production reliability for Cortex Agentix Endpoint Security (following an acquisition of KOI Start Up) as it scales. You'll define and operate our SLOs and error budgets, lead high-severity incident response, and ensure our Kubernetes and AWS infrastructure stays stable under growth. You'll also build and supervise the AI agents that handle routine alert triage and monitor tuning, focusing your own time on the reliability engineering that requires human judgment. This role is a strong fit for someone who treats reliability as an engineering discipline and enjoys ownership, incident command, and applying AI to operational work.
Your Impact:
Own reliability as an engineering discipline - define SLIs, set SLOs, and run error-budget-based decision-making so "how reliable are we" becomes a number that governs how fast we ship.
Own production incidents end-to-end - lead response, mitigation, and resolution for high-severity incidents, and drive blameless postmortems that feed real fixes back into the system.
Own the reliability and capacity of production infrastructure as we scale - forecasting headroom, validating scaling behavior under load, and keeping latency and error rates within SLO.
Run and evolve Kubernetes environments so releases and infra changes are safe by default across hundreds of tenant apps.
Own, build, and supervise our SRE AI agents that triage alerts, review monitors, resolves and summarize incidents. Set and expand the trust ladder that governs what the agents do autonomously, what needs approval, and what stays human. This is a core part of the role.
Requirements:
Your Experience:
5+ years operating production cloud infrastructure, with a strong reliability focus (SRE, or DevOps/platform engineering with reliability ownership).
Deep hands-on experience with Kubernetes, Helm, ArgoCD, Terraform, and CI/CD.
Experience defining and operating SLIs, SLOs, and error budgets - or a clear grasp of the discipline and the drive to establish it from scratch.
Strong observability and alerting experience in Datadog or comparable platforms, including raising signal-to-noise in production.
Proven incident-response instincts - comfortable owning high-severity incidents and a genuine believer in blameless postmortems.
Proven ability to own platform and reliability projects end-to-end, from design through production operation and ongoing improvement.
Strong troubleshooting across distributed systems, Kubernetes, CI/CD, and live incidents.
Collaborative mindset - comfortable working across engineering, security, product, and leadership.
Comfort in a fast-paced, high-ownership environment where priorities shift but production quality doesn't.
Genuine interest in applying AI, automation, and intelligent workflows to operational work - and in building and supervising agents, not just using them.
Ownership-driven - You take responsibility for the reliability of the systems you build and operate, from SLO definition through incident command and continuous improvement.
Reliability as engineering - You treat reliability as a software problem to be solved with code, measurement, and automation - not an ops queue to be worked by hand.
Collaboration - You work effectively across engineering, security, product, and leadership to align on reliability priorities and drive shared outcomes.
Innovation balanced with pragmatism - You actively explore new approaches, particularly AI-assisted operations and agent supervision, while weighing them against reliability, maintainability, and operational simplicity.
Security mindset - You design and build with least privilege, auditability, and production safety as foundational principles rather than afterthoughts.
Clear communication - You articulate reliability, risk, cost, and security tradeoffs precisely to both technical and non-technical stakeholders.
This position is open to all candidates.
 
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לפני 32 דקות
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Staff Engineer to join our Core Engineering group. The group is responsible for the real-time, low-latency infrastructure that powers our fraud decisions and external APIs.
Our systems process billions of requests every day, ensuring high availability, security, and performance at global scale.
In this role, youll work on core backend components such as our decision engine, ingestion and enrichment pipelines, schema management systems, and self-serve API platform. The software you build will power critical business decisions and directly serve some of the worlds largest merchants.
This is a high-impact, high-ownership position for an engineer who thrives on solving complex distributed systems challenges, cares deeply about production-grade quality, and wants to shape the foundation of our decisioning platform.
What you'll be doing:
Design, build, and scale backend systems that power our real-time decisioning and APIs.
Own projects end-to-end - from design and implementation to production rollout and monitoring.
Ensure systems are low-latency, fault-tolerant, and high-throughput across distributed environments.
Enhance observability, reliability, and developer experience through strong operational and tooling practices.
Collaborate with Product, analysts, data scientists, and infrastructure teams to drive innovation across our decision ecosystem.
Participate in technical discussions and customer interactions, providing expertise and clear communication when supporting enterprise integrations.
Requirements:
What you'll need:
10+ years of experience building backend systems in large-scale production environments, with at least 2 years as a Staff Engineer or equivalent level
Strong programming skills in Python, Java, Kotlin, or Node.js
Hands-on experience with cloud-native technologies (AWS, Kubernetes, Docker)
Proven ability to design and maintain high-scale distributed systems
Strong sense of ownership, autonomy, and accountability
Excellent communication skills, with the ability to explain complex systems clearly to both technical and non-technical audiences - including direct collaboration with customers worldwide
It'd be cool if you also have:
Experience with API Gateway architectures, schema/versioning strategies, or platformization efforts
Familiarity with real-time data processing frameworks (e.g., Flink, Storm) and resilience patterns
Background working alongside data science or machine learning teams
Contributions to developer platforms, infrastructure services, or internal tools improving engineering velocity.
This position is open to all candidates.
 
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8870966
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