לוח משרות דרושים Senior Software Architect בתל אביב יפו, לחיפוש זה נמצאו 7 משרות

Requirements:
Background in information systems, computing, engineering or equivalent industry experience preferred.

Have 10-15 years of experience in similar role

Technical background or a good understanding of technology and industry trends, especially in the app integration space

Strong working knowledge with APIs - RESTful

Sound knowledge of Data Structure - JSON

Previous coding experience / development background

Sound knowledge of any RDBMS

Knowledge of SOAP/XML is a plus

Comprehensive knowledge and hands-on experience in architecting solutions comprised of on-premise, cloud and hybrid scenarios

Experience working with cloud business apps like Workday / NetSuite / Salesforce / Servicenow / Marketo is a plus
Soft Skills / Personal Characteristics
Strong collaboration skills, ability to adapt to a dynamic start-up environment with a passion for making an impact

Strong critical thinking, analytical skills with an entrepreneurial and proactive mind-set

Ability to effectively prioritize tasks and manage time, even under high-pressure situations

Strong written and oral communication skills in English, with the ability to convey complex technical concepts effectively to a non-technical audience

Fast learner who can independently conduct extensive research, and synthesize ideas, information and options quickly

Be proactive about solving problems and be ready to take on additional initiatives and responsibilities as they emerge

Requirements:
Proficient in C/C++
At least 10 years experience in file and/or object storage product hands-on development
Deep understanding of Linux/Windows internals
Strong familiarity with NFS/SMB file protocols
Familiarity with TCP and/or RDMA technologies is a strong plus
Able to create and communicate the 'big picture' in a clear way
BSc/MSc degree in Computer Science, Engineering or equivalent.

Requirements:
What Youll Bring to the Table:

To thrive in this role, you don't need to check every single box, but you should be deeply passionate about how to turn data into knowledge.

Systems Expertise

Architectural Depth: You have a proven track record (typically 6+ years) of shipping production-grade backends for large-scale systems. You dont just write code; you design for high throughput, low latency, and long-term maintainability.

Data Engineering Savvy: Youre comfortable building high-throughput indexing pipelines that handle both the messy world of unstructured data and the rigid world of structured schemas.

AI & Retrieval

Retrieval Intuition: You understand that "search" is more than just a keyword match. You have direct experience (or deep theoretical knowledge) in semantic search, vector databases, hybrid retrieval strategies, or with traditional search engines like Elastic or OpenSearch.

RAG & Orchestration: You understand the nuances of Retrieval-Augmented Generation (RAG) patterns, from embedding pipelines and hybrid search techniques to how query planning and metadata filtering can make or break an LLM's performance.

Technical

Language Fluency: You are an expert in at least one major language like Go, Rust, C++, Java, or Python.

Infrastructure: Familiarity and experience with modern infrastructure tools, such as Kubernetes, cloud-native architectures, and observability frameworks, as well as infrastructure-as-code tools like Terraform or Pulumi.

Ownership & Impact

Product Thinking: You don't just build to spec; you build for the user. You can design clean, intuitive APIs that both human developers and autonomous agents will love.

Ambiguity Navigator: Youre comfortable in a high-growth environment. You prefer "owning a problem" over "executing a ticket."

Bonus Points

Experience building multi-tenant SaaS platforms.

Experience with retrieval evaluation frameworks-knowing how to actually measure "good" search results.

Experience with query planning or agentic reasoning loops (e.g., teaching a system how to break down a complex prompt into multiple specific steps).