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במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
מלאה
30,000-45,000 ₪
We are looking for an experienced Technical Lead to direct the technical vision across our Infrastructure Group (DevOps, Data Infrastructure, and Backend Platform).This person is deeply experienced in the DevOps and Data Infrastructure worlds, with solid working knowledge of the backend (Java) stack - enough to challenge service architecture and align infrastructure decisions with how services are actually built and run. This is a cross-cutting, technical role. The Technical Lead drives architecture, eliminates silos between teams, standardizes foundational engineering practices, and mentors senior engineers across the group
Team tasks you will take part in
Act as the infrastructure technical lead within the R&D organization, directly influencing our broader technology roadmap.
Drive the end-to-end technical strategy for cloud infrastructure across AWS and multi-cloud environments, from conceptual architecture to production readiness.
Collaborate with technical leads across engineering to ensure cross-group implementations align with our overall technical strategy.
Design and execute the rollout of AI infrastructure, including governed model access, LLM proxy architectures, inference/serving platforms, and MCP and agent infrastructure.
Establish AI as a first-class engineering capability across us (AI SDLC) by deploying governed coding agents, IDE assistants, AI-assisted code review, testing, and documentation-enforcing guardrails, cost controls, and usage visibility to deliver a measurable shift in throughput.
Architect and continuously evolve CI/CD systems and delivery pipelines at scale to reduce friction and elevate developer safety standards.
Collaborate directly with backend teams to architect scalable microservices and optimize datastore performance across RDS MySQL, MongoDB, and Snowflake.
Define and enforce organization-wide observability, reliability, and performance standards, establishing best practices for monitoring, alerting, and system health.
Cloud security, and incident management processes, ensuring systems remain resilient, secure, and compliant.
Team tasks you will take part in
Act as the infrastructure technical lead within the R&D organization, directly influencing our broader technology roadmap.
Drive the end-to-end technical strategy for cloud infrastructure across AWS and multi-cloud environments, from conceptual architecture to production readiness.
Collaborate with technical leads across engineering to ensure cross-group implementations align with our overall technical strategy.
Design and execute the rollout of AI infrastructure, including governed model access, LLM proxy architectures, inference/serving platforms, and MCP and agent infrastructure.
Establish AI as a first-class engineering capability across us (AI SDLC) by deploying governed coding agents, IDE assistants, AI-assisted code review, testing, and documentation-enforcing guardrails, cost controls, and usage visibility to deliver a measurable shift in throughput.
Architect and continuously evolve CI/CD systems and delivery pipelines at scale to reduce friction and elevate developer safety standards.
Collaborate directly with backend teams to architect scalable microservices and optimize datastore performance across RDS MySQL, MongoDB, and Snowflake.
Define and enforce organization-wide observability, reliability, and performance standards, establishing best practices for monitoring, alerting, and system health.
Cloud security, and incident management processes, ensuring systems remain resilient, secure, and compliant.
Requirements:
Requirements
8+ years in infrastructure/backend engineering, with deep hands-on expertise across both DevOps and Data Infrastructure.
Technical leadership - Proven track record leading technical direction in complex, distributed environments (as tech lead, staff/principal engineer, or hands-on team lead).
Mastery of AWS: Deep knowledge of AWS services, security best practices, account management, and cost optimization
Data Infrastructure Depth: Hands-on experience scaling and managing complex data platforms, including Snowflake, Apache Airflow, MongoDB, RDS MySQL, and streaming/batch framework concepts (Kafka, Spark).
Orchestration & Containers: Expert-level Kubernetes (EKS) and Docker; strong Terraform, GitOps, and CI/CD (GitHub Actions, ArgoCD).
Engineering Standards: Deep understanding of SRE principles, SOC 2 security compliance, cloud networking (WAF, VPCs, IAM)
Database Ops: Solid understanding of the DevOps aspects of MySQL/RDS and MongoDB (scaling, backups, performance tuning).
Backend: Working proficiency in Java microservices: able to read, review, and challenge backend architecture and service dependencies.
Team Player: Strong communication skills and a "can-do" attitude - you enjoy solving problems as part of a collaborative squad.
Advantages
Technical background in fintech, loan servicing, or compliance-heavy financial architectures.
Requirements
8+ years in infrastructure/backend engineering, with deep hands-on expertise across both DevOps and Data Infrastructure.
Technical leadership - Proven track record leading technical direction in complex, distributed environments (as tech lead, staff/principal engineer, or hands-on team lead).
Mastery of AWS: Deep knowledge of AWS services, security best practices, account management, and cost optimization
Data Infrastructure Depth: Hands-on experience scaling and managing complex data platforms, including Snowflake, Apache Airflow, MongoDB, RDS MySQL, and streaming/batch framework concepts (Kafka, Spark).
Orchestration & Containers: Expert-level Kubernetes (EKS) and Docker; strong Terraform, GitOps, and CI/CD (GitHub Actions, ArgoCD).
Engineering Standards: Deep understanding of SRE principles, SOC 2 security compliance, cloud networking (WAF, VPCs, IAM)
Database Ops: Solid understanding of the DevOps aspects of MySQL/RDS and MongoDB (scaling, backups, performance tuning).
Backend: Working proficiency in Java microservices: able to read, review, and challenge backend architecture and service dependencies.
Team Player: Strong communication skills and a "can-do" attitude - you enjoy solving problems as part of a collaborative squad.
Advantages
Technical background in fintech, loan servicing, or compliance-heavy financial architectures.
This position is open to all candidates.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
רמת גן
