דרושים » תוכנה » Senior Backend Developer /Tech Lead

We are looking for an experienced Backend Team Lead to lead and grow a mixed-level engineering team, including junior and senior developers, responsible for building and scaling core backend services of a complex, cloud-based platform. This is a hands-on leadership role that combines people management, technical ownership, and architectural decision-making. You will play a key role in guiding the teams technical direction while actively contributing to development.

Our primary backend stack is Go and Java, with a strong emphasis on Java Spring Boot. In addition, we are launching a new Python-based project, where you will bring prior Python experience and lead the technical direction, as the team currently has limited Python background.

We work in an Agile environment with strong engineering standards, CI/CD pipelines, and a culture that values ownership, mentorship, and continuous improvement.

What Youll Do:
Lead, mentor, and professionally develop a backend team that includes junior engineers.
Provide hands-on technical leadership using Java (Spring Boot), Go, and Python.
Take ownership of backend architecture, design, and implementation.
Lead the Python project technically, setting standards and best practices.
Drive code quality, testing, and maintainability across the team.
Support and grow junior developers through coaching, reviews, and guidance.
Collaborate closely with Product, Frontend, QA, and DevOps teams.
Translate business and product requirements into scalable technical solutions.
Own delivery, technical execution, and team velocity.
Promote best practices in CI/CD, observability, and cloud-native development.

we are looking for a Senior Backend Engineer to join our Catalog Management team.
This team owns core domain areas of the company product, including artist management, catalog management, and content-driven workflows that power the company application end to end. In this role, youll build backend systems that directly support our creators and internal stakeholders.
Youll work closely with multiple departments across the company- including Label, Content, A&R, and Product- helping translate real-world creative and operational needs into scalable, reliable software.
Wake Up for This:
Build product-driven backend systems:
Design, develop, and maintain backend services that power artist management, catalog workflows, and content-centric features across the company platform.
Own end-to-end features:
Take responsibility for features from backend through API - collaborating closely with frontend engineers and product partners.
Collaborate cross-functionally:
Work closely with Product, Design, Label, Content, and A&R teams to understand domain needs and deliver solutions that scale with the business.
Engineer for scale and reliability:
Build and maintain systems that handle large catalogs, complex metadata, and high-traffic production workloads.
Lead by example:
Mentor other engineers, participate in technical decision-making, and help raise the bar for code quality, maintainability, and best practices.
Create real impact:
Your work will directly influence how creators discover content, how artists are managed, and how our company operates internally at scale.

Were seeking a strategic and hands-on Head of Engineering to lead and scale our technical organization.
In this role, you will turn our product vision into a strong, scalable engineering foundation, build efficient processes, and drive technical excellence. You should be passionate about technology, user value, and high-quality execution. Success means challenging assumptions, diving into details, and shaping both the product and the team that builds it.
Responsibilities
Lead and scale of 20-30 engineering organizations (Frontend + Backend) through two Group Leads.
Own the technical strategy and roadmap, ensuring strong alignment with product goals and long-term company vision.
Design and oversee scalable, reliable system architecture across image processing, AI model serving, and data pipelines.
Remove bottlenecks to improve development velocity and overall engineering efficiency.
Drive hiring, mentoring, career development, and a culture of ownership and excellence.
Roll up your sleeves when needed and set the standard for hands-on technical leadership.
Enforce engineering best practices across code quality, CI/CD, testing, deployment, and observability.
Partner closely with Product, AI/ML, and Design teams to translate business needs into technical solutions.
Make key technology decisions and evaluate new tools, frameworks, and services.
Define and track engineering KPIs to ensure system performance, uptime, and team productivity.

Were looking for a hands-on Engineering Team Lead to join our AI Group.
This role combines people leadership, senior-level backend development, and infrastructure-oriented thinking, and plays a key part in building and scaling AI-powered capabilities across Bobs product.
As a Team Lead in the AI group, you will lead a team of backend engineers while remaining actively involved in designing and implementing robust, scalable systems that support AI features used by thousands of customers.
If youre passionate about leading people, shaping technical direction, and staying hands-on in complex backend and infrastructure challenges - this role is for you.
Why Join the AI Group?
Lead a team at the core of Bobs AI strategy and execution.
Influence both product-facing AI features and the underlying technical foundations.
Work in a highly collaborative environment with strong Product, Infra, and Data partners.
Make a real impact at scale while growing as a technical and people leader.
Job responsibilities
What Youll Do
Technical Leadership & Hands-on Development
Lead the design, development, and operation of backend services and infrastructure that power AI-driven features.
Take ownership of end-to-end delivery - from discovery and architecture through implementation, testing, deployment, and monitoring.
Address scalability, performance, and reliability challenges in production systems handling real-time AI interactions.
Work closely with Infrastructure, Data, DevOps, Product, and Design teams to ensure seamless integration of AI solutions into the broader platform.
Drive high engineering standards through code reviews, architecture discussions, testing practices, and automation.
Team Leadership & Growth
Lead, mentor, and grow a team of backend engineers within the AI group.
Own hiring, onboarding, coaching, and professional development of team members.
Foster a culture of ownership, collaboration, learning, and technical excellence.
Support engineers in growing their scope and taking end-to-end responsibility.
AI Platform & Developer Experience
Contribute to and evolve shared AI infrastructure, internal services, SDKs, and tooling.
Improve developer experience by enhancing observability, CI/CD flows, configuration, and internal frameworks.
Collaborate with Architects and DevOps to align AI infrastructure with long-term platform strategy.

We are seeking a highly motivated and experienced Team Leader to join our Fly group and be responsible for planning, coordinating, and leading technical projects across the full delivery lifecycle.To join us, you should bring strong hands-on leadership, combining technical excellence with innovation, leading by example, and mentoring your team while fostering close collaboration with product partners and external stakeholders.
As an R&D Team Leader you will:
Lead a team of 5-7 developers working on a large-scale, complex, and innovative product
Manage the delivery of multiple domains within the product, spanning various disciplines and technologies from design through release
Identify and manage risks and challenges, ensuring alignment, commitment, and high-quality execution across all stakeholders
Make key decisions that focus effort on the most impactful opportunities for the successful implementation of team initiatives
Take an active role in recruiting, onboarding, and mentoring new team members to build a strong, collaborative, and high-performing team
Contribute to the architecture and design of the different solutions, while exploring new technologies to drive innovation and scalability.

We are seeking a Senior Backend Engineer - Data Platform to join our expanding team and play a crucial role in designing, building, and maintaining robust and scalable data pipelines and infrastructure. In this role, you will directly enable data-driven decision-making and support the development and deployment of AI/ML products that power Health.

Youll collaborate closely with engineering, product, and data science teams to ensure our data systems are high-quality, resilient, and scalable as we grow. As a Senior Backend Engineer on our Data Platform team, you will drive efforts to deliver reliable, efficient, and consistent data services across the organization. You will also help enable the rapid development and deployment of advanced features, insights, and AI-driven capabilities that improve outcomes for clinicians and clients.

Who are you?
You are a seasoned backend or data engineer with experience working on production-grade ML/AI-powered products. You thrive in fast-paced, high-ownership environments and are passionate about building scalable and reliable systems. You understand the unique requirements of delivering AI/ML features in production, and you are comfortable working with modern technologies in the LLM/RAG ecosystem.
You pride yourself on delivering high-quality solutions quickly, without sacrificing design or reliability. Youre known for your responsiveness, collaborative spirit, and service-oriented mindset-especially when youre on-call and the stakes are high.How will you contribute?
Design, implement, and maintain scalable and reliable data pipelines and backend systems supporting both operational and analytical needs, with a focus on ML/AI product enablement.
Ensure data processing is optimized for speed, efficiency, and fault tolerance, enabling seamless integration with AI/ML workflows and reliable performance across all our Health products.
Monitor and improve uptime, reliability, and observability of our data infrastructure and pipelines.
Build and maintain systems to ensure data quality, consistency, and usability across the organization, enabling advanced analytics and AI solutions.
Work closely with product and engineering teams to deliver new features rapidly and with a high standard of technical excellence.
Drive innovation in how we build, measure, and optimize data features, backend services, and AI product integrations.
Participate in on-call rotations with a service-oriented approach and fast responsiveness.
Lead scalability efforts to support increasing data volumes, expanding AI/ML initiatives, and new product launches.

We are looking for a Technical Leader to lead the technical evolution of this group as we transition toward Native AI and Agentic architectures across both product and engineering. This role reports directly to the VP of Engineering and will play a critical role in shaping how AI-first and agent-driven systems are embedded into core event pipeline.
Youll combine deep technical leadership, hands-on architecture work, and strong cross-functional influence to guide the team through this transformation - while maintaining the performance, reliability, and scale our customers depend on.

What You Will Do
Lead the technical direction of the Event Management group, owning architecture and long-term evolution
Drive the transition of core event processing systems toward Native AI and Agentic solutions, including AI-driven enrichment, correlation, decision-making, and automation
Partner closely with Product, Data, and AI teams to translate product vision into scalable, production-ready systems
Design and review high-scale, high-throughput backend systems handling millions of daily events
Mentor and grow engineers, fostering a culture of technical excellence, ownership, and pragmatic innovation
Act as a technical thought partner to engineering leadership, contributing to org-wide architectural decisions
Balance innovation with operational rigor, ensuring reliability, performance, and security throughout the transition
Contribute to a culture of technical excellence, collaboration, and continuous improvement

we are looking for a R&D Team Leader (Offshore).
What You'll Do:
Lead and manage a cross-functional R&D team of 5-7 engineers, including backend (Python), frontend (Angular), and QA engineers
Own end-to-end product development, from initial requirements and design, through development, testing, deployment, and production monitoring & troubleshooting
Provide hands-on technical leadership, including architecture design, coding when needed, and thorough code reviews
Work closely with Product Managers and Architects to define scope, prioritize backlog, and deliver high-quality features
Drive engineering best practices: clean code, testing, CI/CD, performance, reliability, and security
Be accountable for team delivery, quality, velocity, and stability
Define team goals, KPIs, and success metrics
Mentor and develop team members, supporting their professional and technical growth
Participate in hiring, onboarding, and training of new team members
Actively monitor production systems, lead incident response, root-cause analysis, and continuous improvement

Were looking for a Senior Backend Engineer to join our Detection group. Be a significant part of the development of infrastructure that efficiently handles, processes, and stores vast volumes of data. Youll design and evolve core backend and build scalable, high-performance backend system that enables our company's real-time threat detection platform and find state-sponsored attacks.
The Responsibilities
Design and develop complex, large-scale backend systems that efficiently handle, process, and store high volumes of data.
Own backend architecture end-to-end, from early design decisions to production rollout and long-term evolution
Translate business and technical requirements into clear backend architecture and detailed implementation plans, with strong focus on design quality, maintainability, reliability, and performance.
Collaborate closely with cross-functional teams (Product, Data, DevOps, Security) to deliver robust backend and data-processing capabilities.
Build resilient, production-grade systems and drive modern engineering practices, leveraging cloud technologies.
Debug and resolve complex backend issues using strong analytical and problem-solving skills.
Lead technical initiatives, drive best practices, and raise the bar for engineering quality.

Were seeking an experienced and skilled Data and AI Infra Tech Lead to join our Data Infrastructure team and drive the companys data capabilities at scale.
As the company is fast growing, the mission of the data and AI infrastructure team is to ensure the company can manage data at scale efficiently and seamlessly through robust and reliable data infrastructure.
As a tech lead, you are required to independently lead the design, development, and optimization of our data infrastructure, collaborating closely with software engineers, data scientists, data engineers, and other key stakeholders. You are expected to own critical initiatives, influence architectural decisions, and mentor engineers to foster a high-performing team.
You will:
Lead the design and development of scalable, reliable, and secure data storage, processing, and access systems.
Define and drive best practices for CI/CD processes, ensuring seamless deployment and automation of data services.
Oversee and optimize our machine learning platform for training, releasing, serving, and monitoring models in production.
Own and develop the company-wide LLM infrastructure, enabling teams to efficiently build and deploy projects leveraging LLM capabilities.
Own the company's feature store, ensuring high-quality, reusable, and consistent features for ML and analytics use cases.
Architect and implement real-time event processing and data enrichment solutions, empowering teams with high-quality, real-time insights.
Partner with cross-functional teams to integrate data and machine learning models into products and services.
Ensure that our data systems are compliant with the data governance requirements of our customers and industry best practices.
Mentor and guide engineers, fostering a culture of innovation, knowledge sharing, and continuous improvement.