We're looking for a Backend Engineer to join our core team and help build the foundation of our company's AI-powered, CVE-free container security platform.
Responsibilities:
Take responsibility for our company's platform and infrastructure, building the core backend systems and services that power our revolutionary container security solution
Take ownership of the backend architecture, tech stack, and development processes, driving technical decisions across our factory's core components
Work closely with cross-functional teams to deliver high-quality software and implement best practices in backend development, API design, and system architecture
Lead complex projects in close collaboration with Product Managers and other Software Engineers, from technical planning through execution and delivery.

We are looking for a Backend Engineer to join the development of our scalable, AI-powered product systems.
What You'll Do:
Join a role that combines deep backend expertise with solid frontend fluency and product thinking, along with the ability to leverage AI tools effectively across the development lifecycle. You will work closely with product, design, frontend, and data/AI teams to build reliable, performant systems and intuitive user experiences, while driving engineering excellence and modern development practices. Your contributions will shape the technical foundation of an AI-first product and directly influence the experience of end users.
What does the day to day of a Senior Backend Engineer look like:
Your daily work will span backend architecture, frontend collaboration, and AI-augmented development, engaging directly with the systems that power our product.
Your role will include:
Design and build scalable, maintainable backend services using NestJS (Node.js/TypeScript) and/or Python
Own API design, contracts, and versioning across services
Design and optimize data models, database schemas, and query performance
Implement authentication, authorization, and secure API integration patterns
Build reliable data-fetching layers, caching strategies, and async processing (queues, jobs, events)
Lead backend technical decisions, code quality standards, and system architecture
Ensure system scalability, fault tolerance, and observability (logging, monitoring, alerting)
Contribute to CI/CD pipelines and deployment practices for backend services
Collaborate on frontend applications built with React, TypeScript, and Vite, and contribute to API contracts from the consumer's perspective
Partner with frontend engineers to align on data shapes, performance, and UX constraints
Translate product requirements into robust, scalable technical solutions, working closely with product and design
Conduct high-quality code reviews and drive architectural discussions and best practices
Improve testing, observability, CI/CD, and system reliability across the team
Use AI coding tools effectively in daily development work (Cursor, Copilot, Claude, ChatGPT, etc.), critically evaluating and refining AI-generated code, especially for backend logic and data integrity
Design efficient personal/team workflows for AI-assisted development and contribute to engineering productivity through AI tooling and automation

we are using technology to transform transportation around the world. From changing a single persons daily commute to reducing humanitys collective environmental footprint - weve got huge goals.
As a Senior Backend Engineer in the Routing team, you will be responsible for designing, building, and scaling the backend systems that power our companys core products. Youll work on high-impact, distributed services that manage geospatial data, large-scale databases, real-time events, and mission-critical workflows used across multiple teams and regions. Your work will directly influence system reliability, performance, and developer productivity at scale.
You will collaborate closely with Product, Infrastructure, Data, and other engineering teams to define system boundaries, evolve shared services, and ensure our backend platform can support rapid product growth. You will be part of a highly skilled and motivated engineering group responsible for building robust, scalable, and maintainable backend systems that operate in real time and at high load.
What Youll Do:
Design, build, and scale backend systems and data pipelines that power our companys GIS and mapping platform, from initial design through production deployment and long-term ownership.
Own features end-to-end with strong accountability, including design, implementation, testing, deployment, monitoring, and ongoing maintenance.
Develop and maintain Python-based data pipelines that ingest, process, and transform large-scale OpenStreetMap (OSM) and other geospatial datasets.
Model, store, and query complex geospatial data using PostgreSQL and PostGIS, including road topology, zones, polygons, points, and other business-critical spatial entities.
Optimize database schemas, spatial indexes, and queries to efficiently handle large datasets and high-throughput workloads.
Build and maintain backend services and APIs that expose geospatial and mapping data to other backend services, frontend applications, and data consumers.
Collaborate closely with other backend teams, frontend teams, data teams, and infrastructure to align on data contracts, system boundaries, and cross-team initiatives.
Improve system reliability, observability, and performance through monitoring, alerting, benchmarking, and continuous optimization.
Contribute to architectural decisions, technical standards, and best practices, while mentoring other engineers and raising the overall engineering bar.

We are seeking a Backend Tech Lead to join a Full-Stack team that is part of the group responsible for our company's main product line, the Imaging platform.
This team focuses on the radiologist's experience, providing the primary access point to our company's AI. The team manages the application installed on the radiologist's computer and the Python-based Gateway service that delivers data to its endpoints.
In this role, you will be responsible for leading the design and development of our backend services, encompassing architecture, coding, and developer mentorship.
Responsibilities
Lead Full-Stack Development: Lead the design and development of scalable and reliable backend services that power our company's radiologist-facing applications.
Architectural Leadership: Drive architectural discussions and make key technical decisions within the team's domain, ensuring high quality, performance, and maintainability
Ownership: Receive end-to-end ownership for product features from ideation to deployment, and work closely with Product and UX to bring the teams imagination to life.
Development Work: Contribute hands-on to the implementation of backend services and occasionally to frontend components when needed.
Mentorship: Mentor and support engineers through design reviews, code reviews, and architectural discussions, promoting technical excellence and best practices.
Incorporate Best Practices: Champion best practices for code quality, testing, and CI/CD processes to enhance delivery consistency and reliability.
Strategic Collaboration and Influence: Work cross-functionally with product, design, and other engineering teams to ensure alignment and technical coherence across the Imaging Platform

Money is becoming software. That changes everything about how it has to be protected. Stablecoins, tokenized assets, and payments made by AI agents are moving real value at machine speed. Thats where our company comes in. We build the security technology behind how money moves. Coinbase, MetaMask, Uniswap, and many of the largest platforms moving money today rely on us to screen billions of transactions and stop fraud, scams, and hacks before they reach a single user.
Were backed by investors including Sequoia Capital, Ribbit Capital, and Cyberstarts, firms behind some of the biggest names in cybersecurity.
The Role:
As a Backend Engineer, you will design, build, and scale the core backend systems that power our security platform-directly shaping the safety of millions of Web3 users. Youll work closely with a team of world-class engineers to deliver highly reliable, performant, and secure infrastructure.
What You'll Do:
Lead feature development end-to-end, from requirements to production.
Build systems that protect millions of users from fraud, scams, and hacks.
Contribute across the full software development lifecycle in an agile environment.
Drive technical innovation by staying ahead of emerging technologies.
Uphold the highest standards of code quality, scalability, and performance.
Take true ownership of our product, tech stack, and development processes.

We are looking for a motivated and experienced Backend Engineer with 7+ years of hands-on experience to join one of our teams. As a Backend Engineer, you will take ownership of features across the entire development lifecycle - from initial concept and design to deployment and maintenance in an enterprise-grade production environment. This role involves close collaboration with the product team to turn ideas into high-quality, functional software.

Responsibilities:
Develop and lead the end-to-end implementation of new features and product offerings.
Design, build, and maintain efficient, reusable, and reliable code across the full stack.
Collaborate with product managers and engineers.
Participate in all phases of the development lifecycle, including analysis, design, coding, testing, and deployment.
Ensure application performance, quality, and responsiveness.

We are looking for a Backend Engineer to drive the architecture and development of our AI-powered language learning platform. In this role, you will design and implement backend systems that directly impact millions of learners worldwide. You will architect scalable services that power real-time AI conversations, ensuring low-latency performance and reliability while building the foundation for our next generation of language learning features.
What Youll Do:
Design, develop, and maintain high-performance backend services and APIs (REST and gRPC) that power AI-driven conversational experiences.
Build and optimize asynchronous Python applications capable of handling real-time audio/text processing at scale.
Ensure seamless, low-latency integration between mobile and web clients and our AI backend platform.
Drive technical decisions on system architecture, focusing on low latency and fault-tolerance.
Collaborate with AI/ML, mobile, DevOps, and product teams to deliver end-to-end solutions that delight our users.
Work within CI/CD workflows to ensure smooth deployments and maintain high code quality standards.
Optimize system performance and resource utilization while maintaining reliability SLAs for our growing user base.

Were hiring a ML Engineer to accelerate AI-driven innovation across B2B SaaS platform.
Youll be at the forefront of building intelligent systems that power core product experiences and automate internal operations, driving efficiency, speed, and scale across the organization. This is a high-impact, hands-on role in a fast-growing, AI-first company where machine learning is a foundational pillar, not a bolt-on feature. You'll partner with product, engineering, and operations teams to design and implement powerful ML and LLM-based solutions that make a measurable difference.
What You Will Do:
Build Intelligent Systems: Design and develop ML/LLM-powered solutions that solve real-world challenges across product and internal workflows.
Own Full Lifecycles: Take projects from concept all the way to production, including model training, evaluation, integration, and monitoring.
Leverage State-of-the-Art Tools: Work with leading frameworks like LangChain, Hugging Face, TensorFlow, and PyTorch to deliver cutting-edge functionality.
Collaborate Cross-Functionally: Partner with product managers, engineers, and stakeholders to embed AI capabilities into user-facing features and backend services.
Ship at Scale: Build and maintain scalable APIs and services, integrating best practices in CI/CD, observability, and cloud infrastructure.
Report with Impact: Share progress, challenges, and results clearly with technical and executive stakeholders.

We are looking for a highly technical, hands-on Platform Backend Engineer to join our Platform team.
This is a key technical leadership role for a senior backend/platform engineer who combines deep platform expertise with strong collaboration and communication skills. You will help shape the foundations of our engineering platform, lead important technical initiatives, and drive improvements in the way we build, deliver, and operate software.
The role is ideal for someone who is not only technically strong, but also a true people person - someone who enjoys working closely with others, building trust, creating alignment, mentoring teammates, and leading through influence. You will partner closely with engineers, product, and architects, and play a central role in improving both the platform itself and the engineering environment around it.
Responsibilities:
Lead the design and evolution of core platform capabilities by translating business, product, and customer needs into robust technical solutions that support multiple products and teams
Harness AI in day-to-day engineering work through practical adoption of AI-assisted development tools and workflows, while helping shape platform capabilities that support product-facing agentic applications
Bring a strong problem-solving mindset to complex platform challenges, proactively identifying gaps and driving improvements across architecture, infrastructure, reliability, observability, security, and SaaS readiness
Drive meaningful improvements in SDLC, engineering standards, and development processes to support high-quality and fast delivery
Act as a technical leader by setting direction, creating alignment, mentoring others, and raising the bar for technical excellence and accountability

What You'll Actually Be Doing
Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
Critically evaluate code (human or AI-generated) for correctness, quality, security, and performance.
Build new and exciting components in an ever-growing and evolving market technology to provide scale and efficiency.
Develop high-quality, production-ready code that can be used by millions of users of our cloud platform.
Make design decisions on the basis of performance, scalability, and future expansion.
Work in a Hybrid Engineering model and contribute to all phases of SDLC including design, implementation, code reviews, automation, and testing of the features.
Build efficient components/algorithms on a microservice multi-tenant SaaS cloud environment.
Code review, mentoring junior engineers, and providing technical guidance to the team (depending on the seniority level).