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We're looking for a hands-on builder to join our company's Backend Core Team as a Staff Backend Engineer- a role where you'll actively code and deploy the critical systems, APIs, and infrastructure that process vast weather datasets, execute complex algorithms, and handle extreme loads to power our resilience platform. This isn't for those who just direct from afar; we want someone who walks the walk, diving into implementation while embracing an AI-first mindset to make everything more efficient, higher quality, and faster through AI integration.
What Youll Do
Hands-on design and build scalable, fault-tolerant backend services and APIs for real-time, high-volume demands, leveraging AI to automate and optimize where possible.
Optimize data pipelines and algorithms for low-latency weather processing, using AI to enhance accuracy, speed, and self-improvement.
Lead architectural decisions with direct contributions, from microservices to event-driven systems, always questioning how AI can accelerate development.
Ensure end-to-end reliability with AI-powered monitoring and chaos engineering for mission-critical uptime.
Collaborate across teams to refine APIs, identifying AI opportunities to streamline workflows and boost product velocity.
Mentor through active participation-code reviews, pair sessions, and prototypes-to instill a builder's ethos and AI-first culture.
Iterate on AI-enhanced solutions, like intelligent data ingestion, to drive quality improvements and faster iterations.
Uphold best practices with a focus on AI for efficiency in security, performance, and compliance.

We're seeking a Staff engineer - AI Builder to lead the design and implementation of AI-native technical frameworks that redefine how large-scale systems are built, extended, and evolved.
This role is deeply technical and architecture-driven, focused on designing modular, extensible, and AI-first system foundations that enable scalable development with AI as a core engineering collaborator.
You will work across the full stack, building infrastructure where AI actively generates, extends, and maintains software components as part of the native development flow.
This is not about incremental AI integration - this is about architecting the frameworks that let AI scale software engineering 10x faster and smarter.
Responsibilities
Architect and lead the development of AI-native system frameworks that emphasize modularity, extensibility, and adaptive scalability.
Build platform primitives that enable dynamic AI-driven module and extension generation.
Design and implement developer workflows optimized for AI-assisted software development, embedding AI collaboration as a first-class design principle.
Define and codify AI-native engineering practices, patterns, and guidelines to elevate our companys software development lifecycle.
Establish and champion best practices for AI-assisted engineering across system design, code quality, testing, observability, and operational scalability.
Drive hands-on prototyping and iterative delivery across frontend, backend, and orchestration layers.
Provide technical leadership and mentorship, fostering an AI-first engineering culture across teams.
Partner closely with Product, AI, and Engineering teams to align system evolution with AI-native goals.

We are seeking a dynamic Field Service Engineer to join our team , playing a critical role in advancing our renewable energy solutions. As a Field Service Engineer, you will contribute significantly to the future of various renewable energy products and solutions, serving as an interface between our customers.



Ideal Candidate:

The ideal candidate will have a background as a practical Electrical Engineer or Electrical Engineer with a valid electrical license and comprehensive understanding of AC/DC, Low/Medium Voltage systems, networking and system controls. Proficiency in both Hebrew and English languages at a minimum of C1 level is required. The role will require on-call duty and the ability to oversee critical customer situations. Experience with Battery Storage solutions is highly beneficial, and a valid driving license is essential due to frequent travel requirements.





Responsibilities:

Serve as the primary interface between customers taking ownership of dispatched customer issues across various renewable energy solutions.
Provide comprehensive service and customer support during field visits or dispatches, running diagnosis on errors or technical problems.
Deliver on-site installation, repair, maintenance, testing tasks, upgrades, or rework activities for diverse renewable energy products.
Provide remote support to clients as needed.
Leading projects during commissioning and site acceptance services for various renewable energy solutions.
Adhere to operational procedures, processes, and practices consistently, ensuring compliance.
Follow applicable health and safety instructions and regulations for various renewable energy installations and services.
Maintain updated documentation, work instructions, and processes for existing and upcoming service contracts and agreements, including reports creation.

Were growing fast, and our team is passionate about pushing AI engineering to new heights - solving complex problems in LLM training, inference optimization, reasoning, and agent orchestration at scale.
About the Role:
As a Machine Learning Engineer, youll work on cutting-edge
code-focused LLMs and AI agent systems
that power next-generation developer platform. Youll be at the center of research, model training, and productionization of intelligent systems that understand software deeply, collaborate with developers, and help automate engineering workflows end-to-end. Your work will immediately impact millions of engineers worldwide.
Responsibilities:
Push LLM Innovation: Research, design, and fine-tune domain-specific LLMs for code generation, refactoring, debugging, and multi-turn reasoning.
Agent-Oriented Development: Build multi-agent coding systems that integrate retrieval-augmented generation (RAG), code execution, testing, and tool use to create autonomous, context-aware coding workflows.
Production-Grade AI: Own the training-to-inference pipeline for large code models-optimize inference with quantization, distillation, and caching techniques.
Rapid Experimentation: Prototype and validate ideas quickly; leverage reinforcement learning, human feedback, and synthetic data generation to push accuracy and reasoning.
Cross-Functional Collaboration: Partner with product, engineering, and design teams to ship AI-powered features that help developers focus on high-impact work.
Scale the Platform: Contribute to distributed training, scalable serving systems, and GPU/TPU-efficient architectures for ultra-low-latency developer tools.

Are you a visionary software developer eager to shape the future of coding and have a global impact? Join us, where we're on a mission to revolutionize the developer experience with our real-world generative AI products.
As a Software Developer, you will play a pivotal role in crafting cutting-edge solutions that empower over 1 million developers worldwide. Together, we'll unleash the potential of AI to make coding more efficient, creative, and enjoyable for developers everywhere.
Join us and be a part of something extraordinary.
Our solution tech. stack:
SaaS, Self-hosting
Backend services + web: Typescript (NodeJS + ReactJS), Python
Client: Rust
IDE plugins: Typescript (vscode), Java (IntelliJ, Eclipse), c# (visual studio)
Postgres, Redis, Qdrant, ClickHouse / Snowflake
GCP, AWS
Kubernetes
GPUs and inferencing (in various frameworks)

Are you a visionary tech leader eager to shape the future of coding and have a global impact? Join Tabnine, where we're on a mission to revolutionize the developer experience with our real-world generative AI products.
As a Team Lead, youll guide a talented group of developers while remaining hands-on, helping to craft cutting-edge solutions that empower over 1 million developers worldwide. Together, we'll unleash the potential of AI to make coding more efficient, creative, and enjoyable for developers everywhere. Join us at Tabnine and lead something extraordinary.
Our solution tech. stack:
SaaS, Self-hosting
Backend services + web: Typescript (NodeJS + ReactJS), Python
Client: Rust
IDE plugins: Typescript (vscode), Java (IntelliJ, Eclipse), c# (visual studio)
Postgres, Redis, Qdrant, ClickHouse / Snowflake
GCP, AWS
Kubernetes
GPUs and inferencing (in various frameworks)

As a Senior Data Engineer, you will be helping us design and build a flexible and scalable system that will allow our business to move fast and innovate. You will be expected to show ownership and responsibility for the code you write, but it doesn't stop there. you are encouraged to think big and help out in other areas as well.

Responsibilities:

Designing and writing code that is critical for business growth
Mastering scalability and enterprise-grade SAAS product implementation
Sense of ownership - leading design for new products and initiatives as well as integrating with currently implemented best-practices
Building and owning production-grade ETL/ELT pipelines that power analytics, ML training, and real-time AI systems
Designing data architectures that support agentic systems, including:
Embeddings and vector-based retrieval
RAG pipelines
Feedback loops and continuous improvement
Review your peer's design and code
Work closely with product managers, peer engineers, and business stakeholders

Were looking for an Applied Data Scientist to join one of our product squads. Youll design, build, and deploy data-driven solutions that combine machine learning, statistical methods, and SQL/rules-based decision logic to power autonomous supply chain intelligence platform. Youll work closely with data science, engineering, product, and supply chain experts and own solutions end-to-end-from problem definition to production monitoring and iteration.

Responsibilities:

Deliver data science solutions end-to-end within a product squad: problem framing → data prep/labeling → modeling → deployment support → monitoring → iteration
Build, train, and improve ML models for supply chain use cases (e.g., inventory risk prediction, demand anomalies, root-cause analysis)
Define success metrics and evaluation plans with support from senior DS/PM; run error analysis and document learnings
Work with stakeholders to create and maintain ground truth (label definitions, labeling workflows, QA checks, feedback loops)
Implement hybrid decision logic by combining ML outputs with statistical methods and SQL/rules-based logic for robustness and explainability
Analyze large, multi-source operational datasets to identify trends, anomalies, and drivers of performance
Collaborate with software engineers to productionize solutions (batch and/or real-time), including testing, logging, and basic monitoring
Monitor deployed models/rules, investigate performance issues (data quality, drift, edge cases), and iterate based on outcomes
Contribute to team practices: reproducible notebooks/code, documentation, and experiment tracking

We are looking for a hands-on, strategic Business Application Manager with a proactive, ownership-driven mindset. Someone who takes initiative, thinks beyond the immediate task, and translates data into real business impact. This role requires a unique mix of systems expertise, project management, and analytical skills. Youll not only implement and optimize our platforms but also analyze ROI, create data-driven case studies, and help leadership make informed decisions.

Reporting to the VP of Customer Success, youll work cross-functionally with Sales, Marketing, Finance, Procurement, and Operations to ensure the company has the right tools, workflows, and insights to scale effectively.

This is part project manager, part systems owner, and part business analyst. Youll lead end-to-end implementations, integrate platforms like Salesforce, Intercom, Quicksight, create dashboards and reports, and drive process optimization across the business.


Key Responsibilities

Platform Ownership & Integration

Implement, configure, and maintain core business platforms: CRM (Salesforce), CS tools (Intercom/Zendesk), BI (Quicksight/Tableau), and others.

Serve as system administrator: manage configuration, user roles, workflows, and integrations.

Ensure data integrity and consistency across all systems; reduce silos and duplication.

Evaluate, procure, and integrate new tools as the company scales.


Data Analytics

Build and maintain dashboards and recurring reports for leadership and GTM teams.

Track and analyze key metrics: pipeline, revenue, churn/retention, customer health, support SLAs, and financial KPIs.

Define and maintain KPIs as a single source of truth; ensure alignment across teams.

Analyze ROI and build case studies to demonstrate impact and inform decision-making.

Leverage AI and automation to accelerate insights and improve reporting.


Process Optimization & Project Management

Lead end-to-end business application projects: from scoping and requirements gathering to implementation, testing, and adoption.

Map, analyze, and optimize cross-functional business processes (Customer Success, Sales, Operations).

Drive change management: document workflows, train teams, and promote adoption.

Manage project timelines, dependencies, and risks; deliver high-quality solutions on schedule.


Cross-Functional Enablement

Partner closely with GTM leaders to streamline forecasting, reporting, and operational cadences.

Support forecasting and planning processes, ensuring clean and accurate data.

Act as a trusted advisor to leadership on systems, processes, and data-driven decision-making.

Provide ad-hoc analysis and insights to inform strategy.

Your experience at our company will be a career accelerator. At the forefront of the global work revolution, you'll tackle complex challenges that impact millions of people's working lives. With our momentum-backed by a $17.3 billion valuation and $1 B in Annual Recurring Revenue (ARR) in just over five years-you'll drive meaningful impact while building expertise that makes you a sought-after leader in the transformation of global work.
Get ready to:
Be a part of a truly cross-functional team
Participate in product planning (From discovery all the way to deployment); We want your input at all stages of the Software Development Lifecycle!
Collaborate! Our teams work together to develop robust new features, APIs, continuously improve our industry-leading products and find and fix any bugs at our company Speed.
Ensure our customers receive a white-glove experience with our products!
What the Giger Team Does
The Giger team builds and maintains one of our companys most powerful internal platforms: a sandbox system that enables engineers to develop, test, and deploy faster than ever. Giger allows product teams to spin up fully functional, production-like environments in minutes, complete with real databases, services, queues, and storage. Each sandbox is completely isolated, empowering teams to experiment freely, test infrastructure changes, and validate code safely at scale.
What Youll Do
Design, build, and maintain the control plane that powers hundreds of dynamic developer sandboxes
Develop backend tooling and services that automate sandbox creation, orchestration, and lifecycle management
Productize and provide infra as a platform including DBs, caches, object storage and queueing systems
Scale & tune the cluster to provide capacity for volatile workloads. Youll become hands on with Karpenter/VPA/KEDA policies, right-sizing, pod density, bin-packing, and scheduling strategies for diverse, bursty workloads
Constantly track and optimize costs to be efficient. At our k8s scale all tiny decisions matter, from compute to storage and data transfer
Own the networking setup to mimic what we have in Production but pair it with greater DevEx at scale of hundreds of sandboxes - traffic routing and interception, ingress tuning, serving assets
Implement and evolve observability within sandboxes
Partner with Sandboxes SRE team to ensure uptime and reliability of hundreds of sandboxes daily
Work with our company engineering to improve their DevEx and productize day to day needs into self-service platform.

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.

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.