דרושים » תוכנה » Senior Software Engineer II, Payments

we are looking for a Senior II Software Engineer to join the CX Platform team, the foundational engineering team powering entire Customer Experience group. This is a high-impact, hands-on role at the intersection of backend engineering, AI infrastructure, and customer-facing product.

You'll work across the full platform stack (backend services, data pipelines, security, cost, and scale) with a meaningful and growing focus on AI infrastructure. We own the agentic platform for the entire Product Offering group: from building the LLM infrastructure and agentic workflows to ensuring they're reliable, observable, and safe in production.
What you'll be doing:

Own AI infrastructure for the Product Offering group. Design, build, and evolve the shared AI platform (agentic workflows, LLM integrations, observability, and guardrails) that CX product teams build on.
Ship agentic features end to end. Lead development of AI-driven capabilities using LangChain, LangFuse, and AWS Bedrock, from architecture through production deployment and monitoring.
Drive platform architecture. Set the technical direction for the CX backend (services, data pipelines, API patterns) with an eye for scalability, reliability, and developer experience.
Own core data foundations. Design resilient data-access patterns across Snowflake, Elasticsearch, Kafka, Redis, and MySQL; keep pipelines fast, fresh, and reliable.
Mentor and elevate. Help engineers across the CX group grow in backend craft, AI engineering, and system design thinking.
Collaborate cross-functionally. Work with product, design, and customer-facing teams to turn ambiguous problems into well-scoped, high-quality solutions.

As a Senior II, you will be a technical leader: owning complex cross-system initiatives, setting the architectural and quality bar, mentoring peers, and collaborating across teams to drive real customer impact. We're investing heavily in Agentic AI and you'll be a central force in shaping how we build it.

If you thrive on technical ownership, have a track record of setting the quality and architecture bar for a team, and are energized by building experiences that bring real value to customers - we'd love to meet you.

What Youll Be Doing

Act as the go-to technical expert across one or more core areas of the CXO platform, setting the standard for code quality, maintainability, and architecture for the team.
Drive technical decision-making on complex, mission-critical systems. Lead design reviews for large-scale initiatives and contribute to all major architectural decisions within your domain.
Own and deliver large, cross-system initiatives, handling open-ended problems with ambiguity. Define key success metrics and measure project impact post-delivery.
Proactively identify and drive improvements to system costs, scale, and operational stability.
Proactively engage with customers to understand their needs, document pain points and suggestions, and drive improvements that benefit multiple teams.
Improve team processes: identify gaps in documentation, design/code review practices, and onboarding; propose and lead adoption of improvements.
Think like a product owner: proactively identify opportunities to improve the customer experience from quality-of-life improvements to impactful new capabilities and bring them to the roadmap.

we are looking for a Senior AI Engineer to design and build production-grade, LLM-powered systems. You'll work at the intersection of software engineering and applied AI - shipping agents, RAG pipelines, and tool-using systems that solve real problems at scale. This is a hands-on, high-ownership role for someone who thrives at the frontier of what's possible with modern LLMs and isn't afraid to write the glue, the infrastructure, and the prompts that make it all work.
This is a **cross-functional, company-wide role**. You won't be embedded in a single product team - instead, you'll partner with every department to identify high-leverage opportunities and build AI-powered tools and workflows that boost productivity and efficiency across the entire organization.
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless workers who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
What You'll Do:
- Design, build, and operate LLM-powered applications, agents, and workflows end-to-end - from prototype to production.
- Architect retrieval, context engineering, and tool-use strategies that make models reliable, accurate, and cost-efficient.
- Integrate LLMs with internal services, third-party APIs, and data stores to automate complex business and engineering workflows.
- Build, evaluate, and continuously improve evaluation harnesses for non-deterministic systems.
- Collaborate closely with product, research, and platform teams to translate ambiguous problems into shipped capabilities.
- Stay ahead of the rapidly evolving LLM ecosystem (models, frameworks, agentic patterns) and bring the best ideas into our stack.

Required Senior Software Engineer
About the role
As a Senior Software Engineer on the KSPM team, you will join a mission-critical group building and scaling one of the companys core and fastest-growing security products. Our team enables customers to secure their Kubernetes environments across every major cloud provider, delivering deep visibility into cluster misconfigs, RBAC risk, admission control, compliance drift and container vulnerabilities.
In this role you will design the backend services and data models that discover, onboard, scan, and represent K8s workloads, APIs, and configurations at scale. You will own core services end-to-end, drive architectural improvements and partner with security researchers to turn complex threat vectors into actionable insights.
We are looking for backend engineers who care deeply about software design, cloud-native infrastructure, and container security. This is a high-impact role with real ownership - lead features end-to-end, mentor teammates, and help shape the technical direction of our KSPM offering.
Our Stack: Python, Go, K8s APIs, K8s ecosystem tooling (OPA/Gatekeeper, admission controllers), Docker & container runtimes, SingleStore, Postgres, Redis, Kafka, SQS, ElasticSearch, AWS, GCP, Azure.
On a typical day youll:
Design & build at scale: Design, implement, and maintain scalable backend services that discover, onboard, scan, and analyze Kubernetes environments across multi-cloud and managed clusters.
Model K8s security: Map and represent Kubernetes resources as clean data models that surface misconfigurations, exposure risks, and compliance violations.
Integrate detection engines: Integrate and evolve detection engines for container vulnerabilities, secrets, RBAC risks, misconfigurations, and compliance frameworks.
Collaborate on research & product: Partner with security researchers and product managers to translate novel findings and complex requirements into impactful features.
Design for quality: Write clean, well-tested code in Python or Go, with thoughtful abstractions and APIs that keep the system correct and maintainable as it grows.
Lead & mentor: Lead design discussions and code reviews that uphold high engineering and security standards across the team.
Own it end-to-end: Own features through their full lifecycle - from technical specification and design through implementation, testing, and release.

We're looking for a hands-on Senior AI Engineer to provide technical leadership within our Generative AI team.
This role is designed for engineers who enjoy combining deep hands-on development with technical leadership. You'll drive technical decisions, shape solution architecture, mentor engineers, and help define engineering best practices while remaining actively involved in designing and building production-grade AI solutions.
Working closely with customers and multidisciplinary teams, you'll help transform complex business challenges into scalable AI systems that deliver measurable business value.
What You'll Do:
Lead the technical design and delivery of end-to-end GenAI solutions, from architecture through production deployment.
Design, build and maintain production-grade AI applications and backend services using Python.
Develop LLM-powered solutions, including retrieval-based architectures, AI agents and orchestration workflows.
Drive architecture decisions for prompt engineering, retrieval pipelines and model evaluation.
Translate business requirements into scalable AI architectures and technical solutions.
Provide technical leadership through design reviews, code reviews and engineering mentorship.
Contribute to engineering standards, best practices and technical excellence across projects.
Evaluate emerging AI models, frameworks and technologies, incorporating them into production solutions where appropriate.

We are looking for an experienced Senior Software Engineer to join our team and help design, build, and scale the systems that power our products. In this role, you will work on high-impact projects that combine cutting-edge technology, complex distributed systems, and challenging algorithmic problems in transportation, routing, and navigation. You will have the opportunity to own features end-to-end, make key technical decisions, and shape the architecture and reliability of large-scale systems.
What Youll Do:
Architect, build, and scale robust, high-performance systems from initial design through deployment to production.
Own features end-to-end, from concept through development, testing, deployment, and maintenance, with strong accountability.
Develop features and APIs for concurrent applications in Golang.
Implement and improve geometric and graph algorithms to support core product
functionality.
Maintain Python and Java server applications, ensuring reliability and stability.
Write production-grade code that is efficient, reliable, maintainable, and optimized for performance.
Optimize application performance, uptime, and scalability, while maintaining high standards of code quality and thoughtful application design.
Run benchmarks and write analysis scripts for geographical data.

we are looking for a Senior Software Engineer to join our Core Engineering group. The group is responsible for the real-time, low-latency infrastructure that powers 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 decisioning platform.



What you'll be doing:

Design, build, and scale backend systems that power 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 decision ecosystem.
Participate in technical discussions and customer interactions, providing expertise and clear communication when supporting enterprise integrations.

we are looking for a Senior Full Stack Engineer to join our Engineering team. In this role, you will lead the design and development of end-to-end features across our gifting platform, with a strong focus on backend architecture. Youll play a key role in shaping scalable systems, driving technical decisions, and delivering high-impact solutions in a fast-growing, cloud-based SaaS environment.

Working with modern technologies such as React, Node.js, TypeScript, Serverless architecture, and Kafka, you will collaborate closely with product, design, and data teams to build reliable, performant, and user-centric experiences. You will also help evolve our engineering standards, development processes, and use of emerging tools-including AI-to improve team productivity and product quality.



You will
Lead the design and implementation of complex, scalable systems end-to-end (frontend and backend, with backend focus)

Own projects from ideation through production, including architecture, development, deployment, and monitoring

Make and influence key technical decisions, balancing speed, scalability, and maintainability

Collaborate cross-functionally to translate business needs into robust technical solutions

Drive best practices in code quality, testing, observability, and security

Mentor engineers through code reviews, design discussions, and knowledge sharing

Continuously improve development processes, tooling, and team efficiency

Contribute to a strong engineering culture of ownership, accountability, and continuous learning

we are looking for a Senior Engineer to architect the mission critical systems that translate massive data streams into financial reality.
What you'll be doing:

Design, build, and maintain scalable and resilient systems that handle high-volume data, while collaborating with teammates and individual contributors
Lead projects from concept to production, ensuring the highest standards of quality and financial integrity.
Work on data-driven initiatives that improve system performance, efficiency, and billing accuracy
Partner with Product and Business stakeholders to navigate technical trade-offs that directly affect bottom line.
Use AI coding tools as a natural part of how you work, reviewing, guiding, and improving AI-generated code is part of the day-to-day here
Help foster best practices and maintain a high standard of engineering excellence

We believe Solutions Engineers at our company are involved in all stages of the customers digital transformation. Solutions Engineers are experienced using presentations, email, phone and social media to connect with customers virtually and in-person.

We are looking for great teammates who can build and deliver sales presentations and customized product demonstrations to help educate our Customers (everyone from developers to product managers to C-level executives) on best practices during their cloud security technology journey.

We believe our Solutions Engineers empathize with Customers and quickly discern their true technical needs by asking detailed, clarifying questions while presenting solutions that specifically address those needs. our company Solution Engineers have the rare combination of technical acumen and business insight; in a career where you can utilize both. As a Solutions Engineer at our company, you will further develop each of these skills by advising a diverse set of customers on the value they will gain by using our Identity Platform.
What Youll Do
As a Senior Solutions Engineer, youll be a strategic technical expert for a customer-facing sales team. You'll use your skills to:

Serve as a technical advisor: Partner with the sales team to educate customers on out identity solutions and demonstrate their value.
Solve customer challenges: Understand customer needs and provide tailored product demonstrations to show how our solutions can solve their business problems.
Lead technical engagements: Answer product and technical questions, and plan and deliver complex Proofs of Concept (POCs) by collaborating with other engineering teams.
Drive product and knowledge growth: Share customer feedback with our product teams to influence future enhancements and contribute to the team's knowledge by sharing best practices and reusable assets.
Stay ahead of the curve: Keep up with competitive analysis and market differentiation to better position.
Support company events: Represent our company at marketing events, including conferences, user groups, and trade shows.