TL;DR

Senior/Lead Backend Software Engineer (AI): Building and optimizing high-quality, production-ready backend services for a trusted CRM cloud platform with an accent on microservices architecture, distributed systems, and scalability. Focus on making design decisions based on performance, developing efficient components for a multi-tenant SaaS environment, and potentially integrating Generative AI solutions.

Location: Hybrid (1-3 days/week in office) or Office-Based (4-5 days/week in office) in Tel Aviv, Israel.

Company

%hirify_global% is a global leader in CRM cloud platforms, providing breakthrough features and ensuring a stable and scalable environment for millions of users.

What you will do

Build new and efficient components in an evolving market technology for scale and efficiency.
Develop high-quality, production-ready code for a cloud platform used by millions.
Make design decisions based on performance, scalability, and future expansion.
Contribute to all phases of the SDLC, including design, implementation, code reviews, automation, and testing.
Build efficient components and algorithms on a microservice multi-tenant SaaS cloud environment.
Code review, mentor junior engineers, and provide technical guidance to the team.

Requirements

5+ years of development experience as a software engineer.
Deep knowledge of object-oriented programming and scripting languages (Java, Python, Scala, C#, Go, Node.JS, C++).
Strong SQL skills and experience with relational and non-relational databases (e.g., Postgres, Trino, Redshift, Mongo).
Experience with developing SaaS products over public cloud infrastructure (AWS, Azure, GCP).
Proven experience designing and developing distributed systems at scale.
Proficiency in queues, locks, scheduling, event-driven architecture, and workload distribution.
Deep understanding of software development best practices and demonstrated leadership skills.

Nice to have

Technical expertise in Generative AI, particularly with RAG systems and Agentic workflows using large language models.
Experience with Big-Data/ML and S3.
Hands-on experience with Streaming technologies like Kafka.
Experience with Elastic Search, Terraform, Kubernetes, Docker.
Experience working in a high-paced and rapidly growing multinational organization.

Culture & Benefits

Wellbeing reimbursement, generous parental leave, adoption assistance, and fertility benefits.
Hybrid model embracing individual strengths and encouraging growth.
Autonomous teams with freedom to make decisions.
Open to Flex (1-3 days/week in the office) or Office-Based (4-5 days/week in the office) work.