דרושים Sr Backend Engineer Object-oriented Programming Background ב-Gong ב-Israel, Tel Aviv-yafo

• Lead and Mentor: Manage and develop a global team of highly skilled Tier 3 Technical Support Engineers. You will provide technical mentorship and performance feedback to ensure your team's continued growth and success.
• Drive Technical Resolution: Oversee daily operations, ensuring your team effectively troubleshoots and resolves complex escalated issues that Tier 1 and 2 support cannot handle.
• Act as an R&D Liaison: Serve as the primary point of contact for all high-priority escalations. You will integrate the technical data from your team with the customer context from our GTM teams to provide a complete picture to R&D, allowing them to focus on diagnosis and resolution.
• Proactive Issue Management: Systematically identify recurring issues or "themes" across all incoming escalations. You will partner with the R&D team to define and execute action plans to reduce bug volume and improve overall product quality.
• Process Improvement: Identify and implement process improvements to enhance the efficiency and effectiveness of our technical escalation workflow.
• Incident Management: Lead and coordinate the response to major technical incidents, ensuring a structured approach to problem-solving and communication across teams.

What You Have

• Experience: 5+ years of experience in a B2B customer support or service setting, with at least 2 years in a management or lead role.
• Technical Acumen: A strong background in software development or computer science is a must. You should possess hands-on experience with APIs and a deep understanding of SQL scripting. Familiarity with databases like Elastic-Kibana, PostgreSQL, or Mongo DB is a plus.
• Problem-Solving Skills: Exceptional critical thinking and problem-solving abilities with an ownership mentality.
• Interpersonal Skills: Proven experience working cross-functionally and the ability to collaborate effectively with diverse teams, including R&D, Product, and GTM teams.
• Process Knowledge: A solid understanding of technical escalation processes and Service Level Agreement (SLA) timeframes.

*We operate in a flexible hybrid work model.

for more details.

As a

You will be responsible for:

• ML Serving Architecture : Design and implement high-performance inference APIs and model serving backends using Java & Python.
• Model Lifecycle Management : Build systems for model versioning, A/B testing, canary deployments, and automated rollbacks.
• Integration Platform : Create robust APIs and SDKs that enable product teams to integrate AI capabilities seamlessly.
• Observability & Monitoring : Build comprehensive metrics, logging, and tracing systems for ML workloads.
• Cross-team Leadership : Mentor engineers & researchers, drive technical decisions, and influence platform architecture across the organization.

You should apply if you have:

• 6+ years of hands-on experience in large-scale backend development, with strong emphasis on Java programming and building high-performance AI/ML inference systems.
• Strong analytical and problem-solving skills, with the ability to debug and resolve complex technical issues in AI applications serving millions of requests daily.
• Experience with cloud platforms (AWS preferred, Azure, or Google Cloud) and building scalable microservices architectures for AI model serving and data processing pipelines.
• Advantageous experience with ML frameworks (TensorFlow, PyTorch), model serving platforms (Triton, TorchServe, KServe), and building high-throughput AI-powered APIs and data processing systems.
• Excellent communication skills, both verbal and written, with the ability to articulate technical AI system design decisions clearly and collaborate effectively with ML engineers, data scientists, and DevOps teams.
• A Bachelor's degree in Computer Science, Engineering, or a related field is preferred. Experience with AI/ML systems in production environments is highly valued.

*​​We operate in a flexible hybrid work model.

for more details.

As a Senior Full-stack Engineer, you will:

• Build scalable, secure infrastructure that collects and manages massive and heterogeneous data, and enables AI agents and developers to interact with it.
• Design authentication, authorization, and data access mechanisms that balance security, usability, and flexibility.
• Solve complex system design challenges to deliver rich functionality while ensuring reliability, performance, and an outstanding experience.
• Collaborate across teams to set standards and architectures that accelerate innovation around the Gong platform.

You should apply if you are:

• A software engineer with 5+ years of industry experience developing web applications.
• Understanding of full system flows from frontend to backend with emphasis on scale and security
• Strong experience with React or similar web framework, state management and web build tools
• Experience in backend development - API implementation and relational databases
• Quality mindset emphasizing automatic tests in all layers
• Deep understanding of API design, security best practices, and developer experience.

*We operate in a flexible hybrid work model.

for more details.

As an Analytics Engineer, you will:

• Design and implement robust data models to transform raw data into analytics-ready tables, enabling confident decision-making across product and business teams.
• Own and maintain our dbt pipelines with a focus on scalability, modularity, and clear documentation.
• Continuously evolve our data models to reflect changing business logic and product needs.
• Build and maintain comprehensive testing infrastructure to ensure data accuracy and trust.
• Monitor the health of our data pipelines, ensuring integrity in event streams and leading resolution of data issues.
• Collaborate closely with analysts, data engineers, and product managers to align data architecture with business goals.
• Guide the analytics code development process using Git and engineering best practices.
• Create dashboards and reports in Tableau that turn insights into action.
• Drive performance and cost optimization across our data stack, proactively improving scalability and reliability.

You should apply if you are:

• A data professional with 4+ years of experience in analytics engineering, BI development, or similar data roles.
• Highly skilled in SQL, with hands-on experience using Snowflake or similar cloud data warehouses.
• Proficient in DBT for data transformation, modeling, and documentation.
• Experienced with Tableau or similar BI tools for data visualization.
• Familiar with CI/CD for data workflows, version control systems (e.g., Git), and testing frameworks.
• A strong communicator who can collaborate effectively with both technical and non-technical stakeholders.
• Holding a B.Sc. in Industrial Engineering, Computer Science, or a related technical field.
• Passionate about translating complex data into clear, scalable insights that drive product innovation.

Bonus points if you have:

• Experience with event instrumentation and user behavioral data.
• Scripting ability in Python for automation and data processing.
• Familiarity with modern data stack tools such as Airflow, Fivetran, Looker, or Segment.

for more details.

As a

You will be responsible for:

• ML Serving Architecture : Design and implement high-performance inference APIs and model serving backends using Java & Python.
• Model Lifecycle Management : Build systems for model versioning, A/B testing, canary deployments, and automated rollbacks.
• Integration Platform : Create robust APIs and SDKs that enable product teams to seamlessly integrate AI capabilities.
• Observability & Monitoring : Build comprehensive metrics, logging, and tracing systems for ML workloads.
• Cross-team Leadership : Mentor engineers & researchers, drive technical decisions, and influence platform architecture across the organization.

You should apply if you have:

• 6+ years of hands-on experience in large-scale backend development, with strong emphasis on Java programming and building high-performance AI/ML inference systems.
• Strong analytical and problem-solving skills, with the ability to debug and resolve complex technical issues in AI applications serving millions of requests daily.
• Experience with cloud platforms (AWS preferred, Azure, or Google Cloud) and building scalable microservices architectures for AI model serving and data processing pipelines.
• Advantageous experience with ML frameworks (TensorFlow, PyTorch), model serving platforms (Triton, TorchServe, KServe), and building high-throughput AI-powered APIs and data processing systems.
• Excellent communication skills, both verbal and written, with the ability to articulate technical AI system design decisions clearly and collaborate effectively with ML engineers, data scientists, and DevOps teams.
• A Bachelor's degree in Computer Science, Engineering, or a related field is preferred. Experience with AI/ML systems in production environments is highly valued.

*​​We operate in a flexible hybrid work model.

for more details.

As a Senior MLOps Engineer, you will be pivotal in designing, implementing, and maintaining our AI cloud infrastructure. You will join a highly technological team responsible for developing our model-serving platform, optimizing inference, and ensuring reliability and cost efficiency. In this role, you will collaborate with key stakeholders across the company, including product engineering teams, internal clients (both researchers and engineers), and Security and DevOps, to automate processes, streamline operations, and drive impactful changes in our model-serving strategy.

Key Responsibilities:

• AI Infrastructure Design & Implementation: Lead the design and implementation of our cloud-native infrastructure, ensuring it is performant, scalable, and cost-effective.
• Automation & Streamlining: Help automate and streamline our AI operations and processes, enhancing efficiency and reducing manual intervention.
• Cross-Functional Collaboration: Work closely with product engineering teams, including internal clients (both researchers and engineers), security, DevOps, and more, to ensure adoption of our AI platform.
• Impactful Contribution: Play a major part in shaping the company’s AI serving strategy, focusing on innovation and long-term success.

Qualifications:

• 4+ years as a DevOps/MLOps Engineer, with extensive experience in cloud computing technologies, preferably AWS.
• Strong scripting and automation skills, ideally using Python and bash.
• Proficiency with Infrastructure as Code (IaC) tools such as Terraform and Terragrunt.
• Hands-on experience with GitOps and CI/CD methodologies and tools like ArgoCD, Argo Workflows, GitHub Actions, and Jenkins.
• Proven experience working with Kubernetes (K8s) in production environments.
• Experienced with common model-serving solutions: Ray/KServe/Triton/HF etc׳.
• Experienced with system observability & monitoring.
• A solid understanding of computer networking fundamentals, storage, REST/gRPC architecture.
• Excellent communication skills and the ability to execute projects from design to implementation.

We operate in a flexible hybrid work model.

for more details.