we are looking for a Senior Full Stack Engineer with a backend-oriented mindset to join our growing R&D team.
In this role, youll be responsible for connecting our companys high-scale data infrastructure with our customer-facing portal-turning complex, runtime telemetry into fast, intuitive, and intelligent user experiences. Youll work closely with product, design, and Data pipeline and security engineers to build data pipelines, APIs, and integrations that make our companys platform both powerful and delightful to use.
This is a hands-on role at the intersection of backend systems, high scale data engineering, and user experience, shaping how massive volumes of runtime data flow through our companys data-driven platform.
Youll Be Great For This Role If You Love To:
Design and implement efficient data pipelines and backend integrations that connect our high-scale data to the user-facing portal.
Build and optimize APIs, data services, and caching layers to ensure fast and reliable data access.
Use data modeling, denormalization, and performance optimization to handle complex queries and large datasets effectively.
Collaborate closely with frontend engineers, product managers, and designers to ensure data flows seamlessly into intuitive UI components.
Contribute to the architecture and scalability of our companys hybrid cloud-native platform.
Write clean, testable, production-ready code in Python, Node.js, TypeScript, and React, while keeping performance and maintainability top of mind.
Stay close to users and product feedback loops - helping translate technical insights into better experiences.
Own end-to-end delivery, from backend design through deployment using CI/CD, Temporal, and Kubernetes.

We are at the forefront of the AI revolution, delivering brand new accelerated compute platforms for global impact. Our Network Architecture group is seeking a talented and motivated Sr. Software Engineer to build the agentic workflows that our architects use in their daily work. The software at the center of this role is our hardware network simulation environment - you will design multi-step agent workflows over it, engineer the context that grounds them in our own specifications and source code, and optimize their runtime performance. If you are passionate about building the practical infrastructure that brings intelligent agents to life, we want to hear from you.


What you'll be doing:
Build agentic workflows - loops, graphs, and multi-step pipelines - that carry real hardware network simulation and analysis work end to end.
Engineer the context these workflows run on, turning our simulation models, specifications, design documents, and source code into context that makes agents accurate in our domain.
Work closely with network architects to understand their workflows and translate them into agent workflows they use daily.
Optimize the runtime performance of our simulation tooling on these platforms, including execution time, compute cost, and end-to-end latency.
Define evaluation and regression testing for agent workflows, so that changes to a prompt, a graph, or a context source are measurable.
Build observability across agent runs: what the agent did, where it failed, and why.
Champion guidelines for secure and reliable agent workflows, including data handling, access control, and interaction boundaries.
Serve as a key technical resource for solving sophisticated integration issues between agents and internal tooling.

We're looking for an exceptional, hands-on leader-engineer to join our core engineering team as a true force multiplier and technological anchor for the company. You'll have the flexibility to drive high-impact initiatives from conception to production, own complex technical and AI domains end-to-end, or guide and level up a focused delivery team, operating with a high degree of autonomy in an ambiguous, fast-moving environment.
What You'll Do:
Drive strategic initiatives: lead complex technical projects, AI feature developments, and core architectural components with an ownership mindset.
Architect for AI & data at scale: design robust, scalable infrastructure and pipelines capable of handling massive volumes of cloud infrastructure data.
Bridge product, AI & tech: collaborate closely with Product Managers and data specialists to translate business roadmaps into high-performance technical systems.
Promote engineering excellence: establish development guidelines, lead design and architecture reviews, and raise the bar for code quality across teams.
Mentor & guide: act as a technical mentor to fellow engineers through hands-on collaboration, deep code reviews, and architectural consultation.

We're looking for an experienced Full Stack Engineer to join our growing team and take a key role in building and shaping our web application. Youll own features end-to-end - from design and architecture through development, testing, and production - working directly with customers and stakeholders to deliver a world-class product.
What You Will Do
Own and develop our web application end to end, spanning frontend and backend, from design through production
Build rich, data-driven user interfaces and dashboards using Next.js and React
Design and implement scalable backend services and APIs that power the company platform
Work with AWS infrastructure, including RDS and ClickHouse, to deliver high-performance data-driven features
Collaborate closely with product, design, and customers to translate complex security workflows into intuitive experiences
Participate in architectural decisions and help define technical direction as an early member of the engineering team
Take full ownership and accountability for features and projects - from ideation to deployment and monitoring.

We are looking for a Senior Full-Stack Engineer to join our engineering organization and play a key role in building and evolving complex products and platforms at scale.
In this role, you will work across frontend, backend, and data layers, taking end-to-end ownership of meaningful features and systems.
From design and implementation through deployment and production support. You will collaborate closely with product, design, and engineering partners to deliver high-quality solutions that support business goals, internal efficiency, and scalable growth.
Responsibilities:
End-to-End Full-Stack Development
Design, develop, and maintain complex features and systems across frontend, backend services, and databases
Own features throughout their full lifecycle: design, implementation, testing, deployment, and ongoing production support
Hands-On Engineering
Write high-quality, production-grade code with a strong focus on reliability, performance, scalability, and maintainability
Contribute across the stack while making thoughtful trade-offs between speed, quality, and long-term sustainability
Product & Stakeholder Collaboration
Work closely with internal stakeholders to understand requirements and translate them into effective technical solutions
Actively participate in planning, estimation, and iterative delivery
Architecture & Technical Design
Contribute to system design and architectural decisions with a long-term, platform-oriented mindset
Help evolve existing systems and design new components that support growth, reuse, and operational excellence
Engineering Excellence
Promote and uphold best practices in software engineering, including clean code, testing strategies, CI/CD pipelines, and observability
Participate in code reviews and technical discussions to maintain high standards across the codebase
Technical Leadership & Knowledge Sharing
Serve as a technical role model through collaboration, mentorship, and constructive feedback.
Share knowledge and help raise the overall engineering bar across teams.

We are looking for a Backend Engineer with deep data engineering expertise to build and evolve the systems that power product, analytics, experimentation, and AI development.
You will work across production backend services and data infrastructure, taking technical ownership of the full data lifecycle - from event ingestion and real-time processing to orchestration, modeling, quality, and reliable data access. This role combines hands-on backend development with ownership of shared data platform, working closely with backend, frontend, AI, DevOps, analytics, and product teams.
What you'll do:
Build and maintain production-grade Python and Java backend services, APIs, and reactive data-processing pipelines with clear interfaces, resilient failure handling, and comprehensive observability.
Own and evolve batch and streaming data pipelines supporting product analytics, learner insights, experimentation, and AI model training.
Design and maintain trusted data models, shared metrics, and semantic-layer business logic across the analytical data platform.
Define and enforce standards for data contracts, testing, lineage, freshness, and observability.
Develop reliable approaches to schema evolution, backfills, replay, workload distribution, and failure recovery.
Collaborate with DevOps, backend, frontend, AI, analytics, and product teams to deliver reusable data capabilities and maintain clear system boundaries.

Were looking for a Core Full-Stack Engineer who combines strong product instincts, deep engineering skills, and the ability to move fast without compromising on execution quality.
Youll be a primary technical driver, taking significant product modules from concept through design, architecture, implementation, and production. You wont just implement finished specifications, youll partner with product and design to shape the solution, make technical decisions, and own delivery across the entire stack.
Your work will turn complex, large-scale data into fast, intuitive products for Fortune 500 marketing teams. Youll build across the entire data and application stack-from data ingestion and ETL pipelines to scalable backend services, polished interfaces, and responsive visualizations. This role combines full-stack development with hands-on data engineering, owning how data is collected, transformed, stored, and served to make exploring datasets with billions of records feel effortless.
This is a hands-on role for someone who has driven meaningful product development in a fast-growing startup and is comfortable taking ownership before every requirement has been defined.
Responsibilities
Own complete product modules from concept to production.
Build and own production data pipelines.
Design scalable data models and APIs.
Build fast, polished, data-intensive interfaces.
Drive performance across the entire stack.
Ensure data quality and reliability.
Create reusable product foundations.
Own production reliability and safe delivery.
Lead through hands-on execution.

Zipher is building the Autonomous Execution Layer for cloud data and AI workloads. Backed by $50M in funding , we dynamically orchestrate clusters, predict bottlenecks, and auto-heal infrastructure in real time — with zero human intervention . Our platform runs in production at global enterprise customers, including Fortune 500 companies , delivering mission-critical resilience and sub-second optimization Autonomous execution is a new category, and we are the ones defining it — already running in production inside Fortune 500 environments , where being wrong is not an option. The team is deliberately talent-dense ; every hire changes what we are able to build next. We are looking for a Full Stack Engineer to build our enterprise web application and control plane alongside our senior engineers. You will build the services, APIs, and interfaces that let engineering leaders monitor, understand, and control autonomous data workloads in real time. This is a backend-heavy role . It is best suited for candidates whose primary expertise and passion lie in backend development
What You’ll Do
* Ship features end to end across the control plane: services, APIs, and the interfaces built on top of them
* Build scalable, low-latency APIs over live telemetry from production data and AI workloads
* Build high-performance, real-time visual interfaces and explainability tools for monitoring an autonomous data platform
* Partner closely with backend, AI, and distributed systems engineers to ship complex, mission-critical platform features
* Own quality for what you ship: testing, CI/CD, observability, and the operational bar for a product enterprise customers depend on
What We Offer
* A chance to build the core execution engine for a new category of autonomous data platform — a product already running inside Fortune 500 environments Real ownership from day one : you own what you ship end to end, and you grow into owning whole domains of the control plane Engineering problems that are genuinely hard : real-time telemetry at enterprise scale, low-latency APIs, and interfaces that make autonomous decisions readable A talent-dense team : direct access to the founders and to the engineers who designed the platform, and a bar that pulls you up Top-of-market compensation and meaningful equity Ready to build the control plane for an autonomous data platform? Hit Apply.

We are looking for a Senior Backend Engineer to join a high-impact, multi-disciplinary team building a customer-facing product trusted by health industry specialists. This team is solving complex technical challenges with a modern stack to power core growth engine.
In this role you will collaborate closely with other R&D, Product, and Data teams.
What Youll Do :
Architect & Build: Design and construct high-performance, production-grade backend systems and applicative services built for reliability and maintainability.
Own E2E Lifecycle: Take complete end-to-end ownership of backend features from concept to production- including architectural design, testing, shipping, and active monitoring.
Cross-Domain Collaboration: Partner closely with Product Managers, Data Scientists, and R&D teams to translate complex data pipelines and product needs into scalable technical solutions.
Elevate Engineering Standards: Participate in rigorous code reviews, establish architectural best practices, and help mentor team members across the organization.

we are a leading direct-to-consumer platform for app publishers.
we help publishers sell digital goods directly to their users - bypassing traditional app store commissions and owning the full payment and commerce experience.
the result: higher margins, better flexibility, and a more direct relationship with end users.
backed by $89m from leading investors and operators, weve grown 14x in the past year and now process over a billion dollars annually. were building the infrastructure that lets modern app businesses take back control of monetization - at scale.
as a Full Stack engineer you will play a key role in building scalable, high-performance end-to-end infrastructure and user experiences that power payment flows for global merchants.
youll work closely with product managers, designers, and customer-facing teams to create reliable, elegant, and Developer -friendly solutions used across multiple products and integrations. this role combines strong product thinking with engineering excellence - from building scalable backend services and robust apis, to creating reusable UI systems and sdks, while optimizing performance, reliability, and scalability across our platform. were looking for someone who thrives in a fast-moving remote environment, takes ownership end-to-end, communicates clearly, and can independently drive projects from concept to production.
responsibilities:
own features end-to-end across the stack (80% backend, 20% frontend ) - from technical planning, database design, and architecture through implementation, testing, deployment, and monitoring.
design and develop scalable Full-Stack applications, building reusable UI components, shared libraries, and sdks using React, typescript, and modern web technologies.
architect, build, and maintain highly reliable backend services, microservices, and robust apis to support complex payment flows and internal integrations.
optimize system performance and ensure high engineering standards through code reviews, automated testing, documentation, and observability across both client and server-side infrastructure.
manage sdk and npm package versions, including release management, while improving development workflows, tooling, and best practices across the engineering ecosystem.
collaborate closely with product, design, and customer-facing teams to deliver intuitive user experiences, contributing to a strong culture focused on quality and ownership.