דרושים » תוכנה » Software Architect

We are seeking a Software Engineering Architect to join the company Tableau engineering team. You will be instrumental in designing and architecting complex, data-driven software systems at scale, with a heavy focus on delivering a best-of-breed Semantic Layer for AI-based data analytics capabilities. As a key technical leader, you will shape the architecture, guide engineering teams in standard methodologies, and ensure the scalability, reliability, performance, and security of our products. You will work on high-impact projects and collaborate closely with Principal Architects.
Your Impact:
Architectural Design & Strategy: Define secure, scalable, and resilient architecture for large-scale, distributed, high-performance systems across multiple cloud environments. Ensure technical solutions align with customer needs, platform, other teas and business requirements.
Semantic Layer & AI Focus: Design, evolve, and govern the next generation of our semantic layer and data modeling framework. Drive the leverage of AI (LLMs and more) and analytic agentic capabilities by providing a unified, rich, and performant data interface.
Execution & Ownership: Be hands-on: write code and POCs, engage in pull requests, and remain close to the code. Simultaneously handle multiple complex, high-priority projects, ensuring architectural decisions support short- and long-term business objectives.
Technical Leadership & Optimization: Provide leadership and mentorship to engineering teams. Lead efforts to optimize system performance and scalability, and ensure high availability and resilience.
Collaboration & Documentation: Work closely with multi-functional teams (PMs, AI experts, engineers, and stakeholders) to define and implement architectural strategies. Create comprehensive documentation for architectural designs and decisions.

We are seeking an experienced LLM & Agentic Systems Engineer to join our AI squad at our company. This role blends deep hands-on engineering with architectural responsibility and client-facing advisory work. You will design, build, and operate production-grade LLM and multi-agent systems, working on both greenfield initiatives and the evolution of existing GenAI platforms. You will play a key role in shaping technical direction, best practices, and delivery standards across the GenAI practice.
Key Responsibilities
GenAI Development & Implementation
Build end-to-end GenAI solutions from POC through production deployment
Design and implement backend microservices architectures for GenAI applications using Python
Design, implement, and maintain production-grade Python services with a focus on code quality, performance, and reliability
Architect and develop multi-agent systems, orchestration layers, and autonomous workflows
Integrate and optimize LLMs and GenAI APIs across complex systems
Evaluate and improve system performance, scalability, reliabililty, and cost efficiency
Client Engagement & Advisory
Lead technical discussions with clients and translate business needs into technical architectures Present GenAI solutions, design decisions, and trade-offs to technical and non-technical stakeholders Provide strategic technical guidance on GenAI adoption and system design
Cloud & Platform Ownership
Deploy and manage GenAI systems across GCP, Azure, and AWS Leverage cloud-native AI services (Vertex AI, Azure OpenAI, SageMaker, etc.) Own production environments, monitoring, and operational excellence
Continuous Learning & Practice Development
Evaluate emerging GenAI models, frameworks, and techniques Define and refine best practices for GenAI system development and deployment Contribute to internal accelerators, methodologies, and knowledge sharing.

We are looking for a Senior Architect to lead the design and evolution of our system architecture. This is a high-impact role with broad technical ownership, shaping the scalability, reliability, and future direction of our platform.

What You'll Do

Reporting directly to VP Engineering
Lead the end-to-end architecture design of our platform and core systems
Make critical technology decisions and influence long-term technical strategy
Design and evolve scalable, distributed, and highly available systems
Ensure performance, reliability, security, and observability across services
Help implementing SDD in the organization and AI Driven features
Translate business and product requirements into robust architectural solutions
Partner closely with R&D, DevOps, Product, and leadership teams
Drive engineering best practices, standards, and technical excellence
Mentor engineers and tech leads across teams

we are looking for a Senior Backend Software Engineer.
As a Backend Software Engineering, your job responsibilities will include:
Build new and exciting components in an ever-growing and evolving market technology to provide scale and efficiency.
Develop high-quality, production-ready code that can be used by millions of users of our cloud platform.
Make design decisions on the basis of performance, scalability, and future expansion.
Work in a Hybrid Engineering model and contribute to all phases of SDLC including design, implementation, code reviews, automation, and testing of the features.
Build efficient components/algorithms on a microservice multi-tenant SaaS cloud environment
Code review, mentoring junior engineers, and providing technical guidance to the team (depending on the seniority level)
JR316760

We are seeking a Backend Team Lead to spearhead the development of ludeo.ai, our GenAI-powered product that enables users to generate interactive (gaming experiences) directly from prompts or video content. This is a high-impact leadership role at the intersection of backend architecture, multimodal AI, and real-time systems. You will architect and lead the AI engine that transforms unstructured inputs (text/video) into structured, interactive gaming playable moments.

What Youll Do

Lead & Mentor: Build and manage a high-performing backend/AI engineering team, drive architectural decisions, and foster rapid innovation while maintaining production-grade reliability.
Design AI-Native Systems: Architect scalable microservices powering complex AI workflows. Design and implement Retrieval-Augmented Generation (RAG) pipelines, embedding strategies, and vector database infrastructure (e.g., Pinecone, Weaviate, Milvus, PGVector). Optimize retrieval, prompt orchestration, latency, and cost.
Agentic Workflows: Design multi-agent systems using planner/executor/tool-calling patterns. Implement stateful, multi-step AI workflows with frameworks such as LangChain, CrewAI, AutoGen, or similar. Build evaluation, observability, and safety mechanisms for LLM systems.
Multimodal AI: Integrate multimodal models (vision + text) to understand video and translate it into structured form.
Scale & Infrastructure: Ensure robustness, security, and high availability on AWS/Kubernetes. Design distributed systems that handle real-time data and AI workloads efficiently.
Collaborate: Work closely with Product and Design to translate GenAI capabilities into stable, scalable production features.

We are seeking a talented senior Backend Engineer to join our team to help design, develop, and maintain the backend infrastructure of our emerging and growing client-side security product. As a Backend Developer, you will be responsible for creating micro-services that protect against client-side attacks, always evolve the system according to the latest security trends and compliance, and ensuring the system is highly scalable.

What you'll do

How Youll Make an Impact -

Architect for Scale: Lead the design and implementation of distributed systems engineered to process hundreds of thousands of requests per second while maintaining strict latency targets within tens of milliseconds.

Own the Lifecycle: Take full accountability for the entire software development lifecycle-from initial architectural design and coding to rollout, observability, and long-term system health.

Collaborate across Functions: Partner closely with product and engineering teams to transform ambitious product goals into high-performance technical reality.

Our Pragmatic Tech Stack -
We use a suite of tools specifically chosen to handle our unique scale and performance requirements:

Core Backend: Go

Messaging: Kafka, Redis Pub/Sub, GCP Pub/Sub.

Data: MongoDB, Postgres, Redis, BigQuery.

Infrastructure & Orchestration: Kubernetes, ArgoCD, Pulumi, Crossplane.

CI/CD: GitHub Actions, Jenkins.

Cloud Platforms: Multi-cloud environment (GCP, AWS, Azure).

As a Backend Engineer, you will design, build, and scale the core backend systems that power our security platform-directly shaping the safety of millions of Web3 users. Youll work closely with a team of world-class engineers to deliver highly reliable, performant, and secure infrastructure.

Your Chain of Impact:

Lead feature development end-to-end, from requirements to production.
Build systems that protect millions of users from fraud, scams, and hacks.
Contribute across the full software development lifecycle in an agile environment.
Drive technical innovation by staying ahead of emerging technologies.
Uphold the highest standards of code quality, scalability, and performance.
Take true ownership of our product, tech stack, and development processes.

Required Quality Architect
Job responsibilities
About you:
This role combines strategic vision, deep technical expertise, and strong people leadership, as you build our quality framework from the ground up.
You will define what quality truly means for our organization and drive continuous improvement across teams, processes, and our tech stack by mapping the current state, identifying key gaps, and focusing on the highest-impact opportunities.
Operating both hands-on and at the executive level, you will design and lead standards, frameworks, and best practices that raise the quality bar while remaining effective under change, scale, and disruption. In this role, you will help teams make sound tradeoffs under pressure, reduce late-stage surprises, and strengthen the resilience of our Tech organization, while aligning and engaging stakeholders across Product, Design, and Engineering.
Success in this role looks like teams catching risks earlier, making clearer tradeoffs, and delivering reliably even as priorities change, with quality practices that scale without slowing teams down.
What will you actually be doing?
Define and own our Tech quality strategy, driving the cultural change needed to embed a quality & resilience mind set at every level.
Map our current signals and practices, define what quality & resilience means for us, and design a clear roadmap for continuous improvement.
Act as the strategic and technical authority for quality, setting methodologies, standards, and best practices across teams.
Partner with engineering, Product, Design and other stakeholders to ensure quality is designed into every stage of our development lifecycle.
Architect and govern the end-to-end quality lifecycle, from planning to delivery, surfacing risks early and ensuring reliable outcomes.
Pioneer innovation in quality engineering, leveraging automation, observability, and AI to create smarter, faster, and more scalable practices.

We are looking for a Hands-On Software Architect to join our architecture group and work alongside some of the most experienced engineers in the industry.
As a Hands-On Architect, you will actively design, build, and evolve large-scale software systems, set technical direction, and work day-to-day with development teams, product, and other stakeholders to deliver reliable, scalable solutions.
If you are passionate about making real impact, enjoy solving hard problems end-to-end, and thrive in distributed systems that process billions of events per day, wed love to talk.
What Youll Do
Lead the design and implementation of complex, distributed software systems in production.
Work closely with developers, product owners, and stakeholders to translate business needs into practical, scalable architectures.
Define and drive engineering standards: architecture patterns, coding standards, testing strategies, and operational best practices.
Stay hands-on: write code, review code, and participate in technical problem-solving across teams.
Mentor and coach developers and tech leads, raising the overall technical bar.
Review designs and implementations to ensure solutions are high-quality, maintainable, and resilient.
Continuously evaluate new technologies and approaches, recommending improvements where they provide clear value.
Be involved in production systems: deployments, observability, performance tuning, and incident analysis.

Join our companys CVO team as a Product Solutions Architect. Own strategic cloud workloads across AWS, Azure, and Google Cloud-turn customer insight into product capabilities, lead previews to GA, and scale adoption with hands-on solutioning, tooling, and enablement.
The Cloud Volumes ONTAP (CVO) Product Solutions Architecture (PSA) team helps customers run business-critical workloads on the cloud with the resilience and efficiency of ONTAP. We drive growth for our company cloud storage by converting customer needs into product capabilities, validating solutions with early customers, and enabling the field to scale adoption. Were looking for a Product Solutions Architect to accelerate CVO adoption across AWS, Microsoft Azure, and Google Cloud. Youll own strategic workload solutions end-to-end-shaping direction with product and engineering, incubating features through preview to GA, building tooling that removes friction, and enabling our field, partners, and customers to succeed. in this tole you will:
Own workload solutions: Integrate CVO into hyperscaler-native architectures; lead the full lifecycle for strategic initiatives from discovery and validation through build, launch, and post-GA evaluation.
Turn signals into roadmap: Translate customer and partner feedback (RFEs/FPVRs) into crisp PRFAQs and actionable backlog items; partner with engineering to scope, prioritize, and guide sprint execution.
Incubate features & drive early growth: Run private/public previews, engage design partners, and prove value for capabilities like block datastores, freemium/agentless onboarding, marketplace flows, and AI/analytics integrations.
Design for adoption at scale: Build and maintain tooling (licensing/trial automation, POC accelerators, performance sizers/TCO models) to reduce time-to-value and standardize best practices.
Field & customer enablement: Author technical docs and solution guides; deliver deep-dive sessions and train-the-trainer programs for our company and hyperscaler field teams; present at global industry events.
Customer & partner advocacy: Host advisory boards and office hours; act as a technical liaison for strategic escalations; partner closely within the hyperscaler ecosystem to align roadmaps and co-develop solutions.
Data-driven outcomes: Define, track, and communicate KPIs (usage/adoption, cost/performance, revenue impact) and iterate based on learnings to improve product-market fit and business results.
Cross-functional collaboration: Work across product management, engineering, UX, support, marketing, sales, CSMs, professional services, and partner integrators; contribute to internal knowledge initiatives.