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we are looking for a Staff Backend Engineer.
As a Staff Backend Engineer at Gong, you will play a pivotal role in revolutionizing how companies understand their customer interactions.
You will be instrumental in designing and leading the development of scalable systems, working with cutting-edge technologies, and collaborating with cross-functional teams across the organization to solve high-impact problems.

We're looking for a Backend Engineer to join our Data Apps team!
A day in the life and how youll make an impact:
Work with all of Melios data to improve the product - from analysis and understanding to applying insights for new solutions.
Act as an all-around team player, influencing the product from overall user experience to technical development.
Use top technologies such as TypeScript, Python, AWS, Spark, LLMs, Bedrock, and scalable databases to create a unique B2B payments experience.
Understand and manage all entities in Melio. Create, creating a complete entity mapping.
Build new LLM-based applications to enhance data quality and performance.
Lead projects end-to-end, from requirements and design through to production.

Were looking for an impact-driven, experienced software engineering manager to lead our Platform Engineering in the Backend areas.
As a Backend Platform Engineering manager, you will be leading a tight-knit and dynamic team of experienced engineers that takes pride in high coding standards and modern development practices
The team takes their talent and experience and transform it into the standard of backend engineering area, affecting coding excellence, From Service creation to Production monitoring
As a leader in the Platform Engineering group, you will be responsible for serving other engineers here , by providing them with wider solution of internal services, packages and tools.
The team continually improving the DevX (Developer experience) of more than 200 engineers and setting high bar of coding standards, helping the product engineering team to focus on their business oriented tasks while using the Platform Engineering solutions
This position requires an experienced team leader that achieved success in their previous roles as a technical leader, that wants to add a deeper challenge, impacting other engineers besides their own team.

Our Analytics, a business within our company, is dedicated to advancing healthcare marketing with AdTech analytics, innovative planning, targeting, measurement, and optimization solutions. Positioned at the center of big data, innovative technology, and multichannel media, we provide most life sciences companies with insights to help make strategic business decisions and drive improved advertisement and patient outcomes.

As an Engineering Manager, you'll lead a group of team leads and software engineers building the infrastructure for the unique Analytics Platform.
What You'll Do
Build and lead a team of professional software and DevOPs engineers responsible to deliver high-quality software solutions
Provide technological and managerial coaching to R&D team members based on extensive hands-on and managerial experience
Ensure efficient CI/CD and testing coverage
Be accountable for group commitments
Cooperate effectively with Data scientists on productization of prediction data pipelines

We are looking for a System Engineer who "speaks" both Network and Code. In this role, you will be the architect of the systems connectivity, designing how our devices communicate over wired LAN infrastructures and ensuring the software architecture supports robust, high-throughput data flow. You will bridge the gap between IT network configuration and R&D software development.

Responsibilities:
System Network Design: Define the networking architecture for complex systems, focusing on Wired LAN configurations, switch management, and topology planning.
E2E device to platform SW features: Collaborate with SW teams to define system-level software features - for example security, configurations, etc...
Network Integration: Lead the integration of system components into customer IT environments (Subnets, VLANs, Firewalls).
Hands-on Coding: Write production-grade code or advanced scripts for system automation, network simulation, and performance testing.
Bottleneck Analysis: Analyze data flows to identify network congestion or software inefficiencies and propose architectural changes.
Security: Define and implement network security protocols (PKI, penetration resilience) within the system design.

We are looking for a Full-Stack Software Engineer to join our team!
A day in the life and how youll make an impact:
Each member of our team is an all-around player who influences the product from the overall experience to the development.
Youll be using top technologies like React, Node.js, AWS, and scalable databases to build a unique experience in B2B payments.
You should be passionate about engineering and building a product end-to-end, through the design, coding, testing, and deployment phases.

We seek an experienced Full Stack Engineer with expertise in Flutter, capable of driving projects from concept to completion end to end, including backend development. The ideal candidate is a self-starter, able to work independently but also lead team initiatives. Experience in Python, Go or Angular can also be a significant plus.

Responsibilities:
Develop and implement complex and user-friendly interfaces using Flutter.
Be the Mobile authority - develop our standards, best practices and architectural guidelines.
Deliver end-to-end solutions, including backend services and APIs, using Python or Go.
Collaborate closely with the product and platform teams to deliver comprehensive solutions.
Lead new projects and initiatives within the team, ensuring deadlines are met.

Were seeking an experienced and skilled Data and AI Infra Engineer 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.
A day in the life and how youll make an impact:
As a Senior Engineer, 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.

Were looking for an experienced hands-on Software Engineering Team Lead to lead a highly skilled team of backend and frontend engineers through implementation, delivery, iteration, and build scalable systems that serve our customers.

Responsibilities:
Foster a positive, collaborative culture and grow the teams capabilities.
Lead and mentor engineers to ensure on-time delivery, quality development, productivity, and efficiency by conducting and lead design reviews & code reviews.
Work together with product managers to translate requirements into scalable technical solutions.
Balance refactoring and evolution with steady delivery of new features.
Drive a culture of technical excellence, ownership, and continuous improvement.
Oversee system reliability, monitoring, performance optimization and incident response.

We're looking for a Senior Backend Engineer to join our team.
A day in the life and how youll make an impact:
Each member of our team is an all-around player who influences the product from the overall experience to the development.
Youll be using top technologies like Typescript, Node.js, AWS and scalable databases to build a unique experience in the world of B2B payments.
You should be passionate about engineering and building a product end-to-end, through the design, coding, testing, and deployment phases.

Were looking for a talented Backend Engineer to take a significant role in the development of a highly robust, multi-cloud, multi-region SaaS platform.

As a Backend Engineer at Akeyless, you will be part of a small and high-performing team, developing a SaaS platform that provides technical solutions for DevOps.

This role includes working in a multi-cloud environment (AWS, GCP, Azure), developing microservice architecture with Golang. You will work in a dynamic and agile environment with the most cutting edge technologies.

we are looking for a Senior Data Analyst.
As a Data Analyst you will be working with colleagues from various disciplines, such as - Product, Engineering, Marketing, Sales, Customer Success, Risk, Data Scientists within the team and other Data Analysts - on their KPIs, the way they observe information and the hardest questions each team is facing in order to drive insights and keep a data driven company.
You will play a key role in the ability of each team to keep scaling!
How your day is going to look, what you will be doing?
- Helping each team to take decisions based on data by:
Identify, analyze, and interpret trends or patterns in complex data sets to drive actionable insights
Define and implement KPIs across different teams
Accompany product features from tech design to feature performance
Translate product/business requirements to analytical logics, and create a very clear visualization which "tells the story" using a BI tool or other platform.

Were hiring a Customer Success Engineer to work directly with customers to onboard, implement, troubleshoot, and optimize the platform- across Linux, Kubernetes, IAM, and secure access workflows. Youll be the primary technical contact: diagnosing issues, guiding best practices, collaborating with Product/Engineering on escalations, and turning learnings into repeatable runbooks that keep deployments stable and effective.

Responsibilities:
Deliver a smooth onboarding experience and drive adoption/expansion for existing customers.
Proactively identify opportunities to drive customer success and product adoption through architectural guidance, hands-on enablement, and technical planning.
Investigate and resolve our cases (secret access, authentication, certificate workflows, remote access) while guiding secure configuration and best practices.
Reproduce issues in test environments (Linux, Docker, K8s) to isolate root causes.
Write KB articles to streamline troubleshooting and improve customer experience.
Learn customers business and challenges; log and communicate requirements; partner with Product & Engineering to escalate/validate fixes, contribute to team processes, internal tooling, and advocate for customers.
Act as a trusted advisor and support critical issues.

we are looking for a Senior Data Engineer.
As a Senior Data Engineer, you will play a key role in shaping and driving our analytics data pipelines and solutions to empower business insights and decisions. Collaborating with a variety of stakeholders, you will design, develop, and optimize scalable, high-performance data analytics infrastructures using modern tools and technologies. Your work will ensure data is accurate, timely, and actionable for critical decision-making.
Key Responsibilities:
Lead the design, development, and maintenance of robust data pipelines and ETL processes, handling diverse structured and unstructured data sources.
Collaborate with data analysts, data scientists, product engineers and product managers to deliver impactful data solutions.
Architect and maintain the infrastructure for ingesting, processing, and managing data in the analytics data warehouse.
Develop and optimize analytics-oriented data models to support business decision-making.
Champion data quality, consistency, and governance across the analytics layer.