דרושים » תוכנה » Senior Big Data Developer

We are looking for a motivated and experienced Senior Developer to join our Cloud and K8s Group. The successful candidate will possess a strong technical background in cloud environments and will excel in developing advanced cloud-related features. Proficiency in NodeJS (Typescript), MongoDB, Kubernetes, Docker, and data queues is essential for this role, as you will be instrumental in refining our cloud CTEM offering.

Key Responsibilities:

Design and implement advanced cloud-related features to enhance our existing offerings.
Streamline deployment processes and ensure system reliability by demonstrating expertise in Kubernetes and Docker.
Develop modular and scalable solutions while leveraging microservices and jobs architecture.
Utilize advanced data processing techniques with tools such as Spark , Flink, written in Scala to improve system performance.
Contribute to the enhancement of system reliability at scale through hands-on experience with large-scale applications.
Develop attack techniques for AI technologies, implement cloud features relating to AI exposures.

As a Senior Software Engineer in R&D, you will be a key player in the design, development, and deployment of our cybersecurity platform. Your responsibilities will include:

Leading the research and implementation of techniques to identify and mitigate AI-related attack methods, such as data manipulation and adversarial attacks on security systems.
Developing and integrating new security features into our platform to proactively defend against modern cyber threats.
Collaborating with our team to define technical requirements and architectural solutions for cutting-edge security features.
Tackling challenging technical problems at the intersection of cybersecurity and low-level systems.

We are looking for an experienced, hands-on Software Development Team Lead with proven abilities to lead a team and deliver fast and efficiently. A true team player who is eager to be part of a unique opportunity in the startup scene.
Key Responsibilities:
Lead a team of developers working on one of our products.
Architect efficient and reusable back-end systems.
Mentor Back-End team members in the technical aspects of their work.
Empower and coach the Development team, organizing their work, setting goals, and making sure they are engaged.
Collaborate with Product Designers, Product Managers, and other Team. Leaders to plan, nurture, and implement an efficient and effective development process.
Recruit talented developers to us.
Mentor and advise the Development team in code review, pair programming, and more.
See the big picture of group tasks and make decisions.
Be at least an 80% hands-on developer as part of the team.
Influence the Engineering team by interacting with stakeholders outside the team.

About the Role:We are seeking an experienced Senior Data Engineer to join our dynamic data team. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure, ensuring the availability, reliability, and quality of our data. This role requires strong technical expertise, problem-solving skills, and the ability to collaborate across teams to deliver data-driven solutions.Key Responsibilities:

Design, implement, and maintain robust, scalable, and high-performance data pipelines and ETL processes.
Develop and optimize data models, schemas, and storage solutions to support analytics and machine learning initiatives.
Collaborate with software engineers and product managers to understand data requirements and deliver high-quality solutions.
Ensure data quality, integrity, and governance across multiple sources and systems.
Monitor and troubleshoot data workflows, resolving performance and reliability issues.
Evaluate and implement new data technologies and frameworks to improve the data platform.
Document processes, best practices, and data architecture.
Mentor junior data engineers and contribute to team knowledge sharing.

We are growing our team and are looking for a talented, experienced, passionate, and driven Senior Backend Engineer to join our infra team.

Join us to help shape the future of work!



What's the job?

Our Core Team is seeking a talented and experienced Back End Developer.
Your responsibilities as a member of the Core Team will include creating a seamless and efficient development experience for the R&D team to move forward more quickly.
Maintaining the stability, performance, and infrastructure of our product, as well as assisting full-stack developers and improving processes.



What you'll be doing:

Design, develop, and maintain the back-end infrastructure of our product with our full-stack developers.
Ensure the stability and performance of our product, and optimize it for scalability and high availability.
Provide guidance and support to full stack developers on the team as a technical lead.
Collaborate with the product and design teams to implement new features and improvements.
Identify and resolve any technical issues that arise, and proactively address potential issues before they impact users.
Monitor and optimize server and database performance to ensure high availability and scalability of our product.
Utilize the latest technologies and industry trends as appropriate for our product and development processes.

As a Frontend Engineer at Gong, you'll lead the development of intuitive and scalable applications, collaborate closely with diverse teams, and drive impactful solutions in our innovative, fast-paced environment.

As a Senior Frontend Engineer, you will:

Be a major part of frontend guild, with Frontend developers from all the company teams.
Tackle complex technical challenges across architecture, code, and product levels, delivering solutions that balance practicality with innovation, considering both short-term needs and long-term impact.
Be the owner of the features you develop while collaborating with product and UX teams from thinking and wireframes processes to production.
Be part of our known architecture huddles when we make future decisions about our code and best practices.
Constantly learn new things - join professional lectures and workshops organized by Gong. In addition, each developer gets extra learning time on behalf of Gong to gain or improve new professional skills.
Be a part of a successful startup technology team that translates our vision into a solid SaaS product that performs, scales, is easy to use, and makes a big impact.

As part of the Data Infrastructure team, youll help build data platform for our growing stack of products, customers, and microservices.

Our platform ingests and processes data from operational databases, telematics, and diverse product sources. Youll build robust backend services and data processing pipelines, leveraging state-of-the-art frameworks and cloud-native solutions, all while collaborating with Data Engineers, ML Engineers, Analysts, and Product Managers to turn real-world needs into resilient systems.

In this role youll:
Design & Develop Backend Services: Lead the design and implementation of backend systems and APIs for our distributed data platform

Build Data Ingestion & Processing: Architect and develop scalable ingestion pipelines with streaming ETL, Change Data Capture, and large-scale batch and stream processing

Own Data Platform Infrastructure: Implement and optimize scheduling, workflow orchestration, and data governance tools to support high-quality, compliant data flows

Drive Engineering Standards: Establish and promote backend best practices, ensuring high reliability, code quality, and maintainability across the team

Cross-functional Collaboration: Work closely with data engineers, ML engineers, product managers, and analysts to translate business needs into scalable backend systems

Mentorship: Share your backend and infrastructure expertise by collaborating, reviewing, and mentoring fellow engineers.

Were looking for a Data Engineer to join our team and help shape a modern, scalable data platform. Youll work with cutting-edge AWS technologies, Spark, and Iceberg to build pipelines that keep our data reliable, discoverable, and ready for analytics.
Whats the Job?
Design and maintain scalable data pipelines on AWS (EMR, S3, Glue, Iceberg).
Transform raw, semi-structured data into analytics-ready datasets using Spark.
Automate schema management, validation, and quality checks.
Optimize performance and costs with smart partitioning, tuning, and monitoring.
Research and evaluate new technologies, proposing solutions that improve scalability and efficiency.
Plan and execute complex data projects with foresight and attention to long-term maintainability.
Collaborate with engineers, analysts, and stakeholders to deliver trusted data for reporting and dashboards.
Contribute to CI/CD practices, testing, and automation.

Were looking for a Solutions Engineer with deep experience in Big Data technologies, real-time data pipelines, and scalable infrastructuresomeone whos been delivering critical systems under pressure, and knows what it takes to bring complex data architectures to life. This isnt just about checking boxes on tech stacksits about solving real-world data problems, collaborating with smart people, and building robust, future-proof solutions.
In this role, youll partner closely with engineering, product, and customers to design and deliver high-impact systems that move, transform, and serve data at scale. Youll help customers architect pipelines that are not only performant and cost-efficient but also easy to operate and evolve.
We want someone whos comfortable switching hats between low-level debugging, high-level architecture, and communicating clearly with stakeholders of all technical levels.
Key Responsibilities:
Build distributed data pipelines using technologies like Kafka, Spark (batch & streaming), Python, Trino, Airflow, and S3-compatible data lakesdesigned for scale, modularity, and seamless integration across real-time and batch workloads.
Design, deploy, and troubleshoot hybrid cloud/on-prem environments using Terraform, Docker, Kubernetes, and CI/CD automation tools.
Implement event-driven and serverless workflows with precise control over latency, throughput, and fault tolerance trade-offs.
Create technical guides, architecture docs, and demo pipelines to support onboarding, evangelize best practices, and accelerate adoption across engineering, product, and customer-facing teams.
Integrate data validation, observability tools, and governance directly into the pipeline lifecycle.
Own end-to-end platform lifecycle: ingestion → transformation → storage (Parquet/ORC on S3) → compute layer (Trino/Spark).
Benchmark and tune storage backends (S3/NFS/SMB) and compute layers for throughput, latency, and scalability using production datasets.
Work cross-functionally with R&D to push performance limits across interactive, streaming, and ML-ready analytics workloads.
Operate and debug object storebacked data lake infrastructure, enabling schema-on-read access, high-throughput ingestion, advanced searching strategies, and performance tuning for large-scale workloads.

Shape the Future of Data - Join our mission to build the foundational pipelines and tools that power measurement, insights, and decision-making across our product, analytics, and leadership teams.
Develop the Platform Infrastructure - Build the core infrastructure that powers our data ecosystem including the Kafka events-system, DDL management with Terraform, internal data APIs on top of Databricks, and custom admin tools (e.g. Django-based interfaces).
Build Real-time Analytical Applications - Develop internal web applications to provide real-time visibility into platform behavior, operational metrics, and business KPIs integrating data engineering with user-facing insights.
Solve Meaningful Problems with the Right Tools - Tackle complex data challenges using modern technologies such as Spark, Kafka, Databricks, AWS, Airflow, and Python. Think creatively to make the hard things simple.
Own It End-to-End - Design, build, and scale our high-quality data platform by developing reliable and efficient data pipelines. Take ownership from concept to production and long-term maintenance.
Collaborate Cross-Functionally - Partner closely with backend engineers, data analysts, and data scientists to drive initiatives from both a platform and business perspective. Help translate ideas into robust data solutions.
Optimize for Analytics and Action - Design and deliver datasets in the right shape, location, and format to maximize usability and impact - whether thats through lakehouse tables, real-time streams, or analytics-optimized storage.
You will report to the Data Engineering Team Lead and help shape a culture of technical excellence, ownership, and impact.