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We're looking for top-notch, passionate Software Engineer to be part of our world-class Engineering team. If you think you can handle a wide range of technologies, pushing code to production several times a day, working on a different part of our product code with every new task you get, and using the best practices in the industry? Please contact us!
You will -
Participate in designing and developing products in multiple technologies, no code ownership environment
Design and develop modules for a high-end product that serves billions of transactions a day
Deploy your code to production in a continuous manner
Be responsible for the healthiness of your application in production
Work with product managers to define, prioritize and finalize features
Carry out full-stack, end to end development

We are looking for a highly technical CTF Infrastructure Engineer to join our team. This role combines the technical depth of a Cyber Range Engineer with the creative and storytelling aspects of system gamification.
In this role, you will design and implement the infrastructure behind our Capture The Flag (CTF) environments, while also taking part in architecting the CTF scenarios themselves. You will be responsible for building and orchestrating complex, cloud-based lab environments where our security validation takes place.
This is a unique position for an engineer who combines creativity with deep technical problem-solving. You wont just be provisioning servers for uptime; you will develop the logic that spins up realistic, intentionally vulnerable, and dynamic environments in the cloud to simulate real-world attack scenarios. You will utilize our internal infrastructure, automate flows with Python, and perform deep configurations on Windows and Linux systems to set the stage for cyber attacks.
As part of this role, you will also take part in creating unique stories and hands-on experiences for CTF scenarios, working closely with security researchers to translate real-world threats into engaging, reproducible challenges.
Roles and Responsibilities:
End-to-End CTF Ownership: Design and build new Capture The Flag experiences from concept to execution, including scenario design, infrastructure, automation, and validation.
CTF Environments Development: Write code (primarily in Python) to automate the creation and behavior of complex lab environments.
Cloud Architecture: Design, deploy, and manage dynamic network environments on AWS using Terraform.
Deep System Configuration: Configure Windows and Linux internals (Registry, GPO, domain settings) using PowerShell and Bash to support specific attack vectors and research scenarios.
Pipeline Management: Maintain and tweak the logic of our build environments using Jenkins (writing and managing Groovy scripts).
Work closely with Security Researchers to understand new threats and translate them into reproducible, runnable lab environments.

We are looking for a brilliant and enthusiastic DevOps Engineer to join our close-knit and highly-skilled team to help expand our platform to newer heights. As a team member, you will take part in the design and implementation of our ever-evolving infrastructures, providing our company with smooth and robust DevOps solutions.
Roles and Responsibilities:
Build and maintain highly available and scalable production systems
Design and implement dynamic serverless cloud environments
Develop a robust, fully-automated deployment for SAAS solutions
Monitor system performance and implement optimizations for reliability and cost-efficiency
Work closely with development, security, and automation teams to foster a culture of security awareness
Research and integrate new DevOps technologies using best practices.

We are seeking an experienced and passionate Senior Full-stack Software Engineer to join our dynamic team. In this role, you will support the development effort of a full-stack team and guide and mentor the other team members. The ideal candidate combines strong technical expertise in modern frontend frameworks with solid backend knowledge, enabling you to guide the team end-to-end. You will play a key role in driving team velocity, fostering best practices, and delivering reliable, scalable, and user-centric applications.

Responsibilities:

Guide the team in building scalable, reliable applications using cloud infrastructure.
Share knowledge and best practices across the R&D department.
Support backend development efforts in Golang and Node.js
Support frontend development efforts with React & TypeScript
Drive continuous improvement in team velocity and delivery quality.
Coordinate with cross-functional teams to align development efforts.
Partner with product managers, designers, and backend/core teams to deliver seamless user experiences.
Contribute to company-wide technical initiatives.
Collaborate on design and implementation of new features and services.

Were looking for an AI First Fullstack Engineer to help build the biggest weather platform in the world.
At our company, we are revolutionizing climate intelligence through AI-driven insights, real-time decision-making tools, and cutting-edge forecasting technologies. Our Experience team ensures that users have a seamless and intuitive interaction with our platform, bridging backend logic with compelling frontend experiences.
We seek engineers who embrace change, are resourceful, and are eager to leverage AI tools to enhance productivity. The ideal candidate is a versatile developer who can work across both backend and frontend, integrating AI-driven features while continuously improving the user experience.
As a Fullstack Engineer at our company, youll:
Develop and refine user interfaces using React, ensuring seamless user experience.
Enhance our Node.js-based microservices architecture, implementing new features and optimizing performance.
Integrate AI-powered features into the product, leveraging LLMs and automation tools.
Collaborate cross-functionally to ensure smooth delivery of complex, multi-disciplinary projects.

We are looking for an experienced team player and fast learner DevOps Engineer.
A responsible individual who shares knowledge and accustomed to working in a fast-paced agile environment.
Main Responsibilities:
Build and deploy pipelines (CI/CD).
Provide and implement architectural solutions and for complex data and processing requirements involving large-scale systems and rapid growth.
Manage live microservice-based production environments.
Implement system monitoring procedures and develop procedures accordingly.
Design, implement & develop various solutions according to R&D/Production needs.
Work closely with R&D teams to enable delivering features to production.
Be part of a 24/7 production support on-call rotation.

Were looking for a Senior AI First Fullstack Engineer to help build the biggest weather platform in the world.
At our company, we are revolutionizing climate intelligence through AI-driven insights, real-time decision-making tools, and cutting-edge forecasting technologies. Our Experience team ensures that users have a seamless and intuitive interaction with our platform, bridging backend logic with compelling frontend experiences.
We seek engineers who embrace change, are resourceful, and are eager to leverage AI tools to enhance productivity. The ideal candidate is a versatile developer who can work across both backend and frontend, integrating AI-driven features while continuously improving the user experience.
As a Senior Fullstack Engineer at our company, youll:
Develop and refine user interfaces using React, ensuring seamless user experience.
Enhance our Node.js-based microservices architecture, implementing new features and optimizing performance.
Integrate AI-powered features into the product, leveraging LLMs and automation tools.
Collaborate cross-functionally to ensure smooth delivery of complex, multi-disciplinary projects.

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.

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 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

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'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.