Harmony is the AI voice venture built inside monday.com. Our agents hold real phone conversations for businesses, and every one of those calls runs through systems we design and build ourselves: real-time audio pipelines, agent orchestration, telephony integrations, and the tools our customers use to build and monitor their agents.
We are a small team that ships fast. Engineers here own features end to end - from design through production - and work shoulder to shoulder with AI researchers turning models into product.
What youll do
Design and build backend services powering live voice conversations: low-latency, real-time, and reliable under load.
Develop the platform our customers use to create, test, and analyze their voice agents.
Integrate with telephony providers, CRMs, calendars, and the wider monday.com platform.
Turn research prototypes into production systems together with our AI scientists.
Own what you ship: architecture, code quality, observability, and performance.

We are looking for a Senior Full-Stack Engineer to build reliable, high-impact product experiences from browser to backend. You will own meaningful product areas, turn ambiguous customer problems into pragmatic technical solutions, and help set a high bar for quality, speed, and engineering judgment.


What youll do
Design, build, test, deploy, and operate end-to-end product capabilities.
Build polished frontend experiences with React and TypeScript.
Develop scalable backend services and APIs with Node.js and TypeScript.
Partner closely with Product and Design to shape solutions before implementation.
Make sound architecture decisions across application boundaries, APIs, data models, security, performance, and observability.
Use AI-assisted engineering tools thoughtfully to improve development speed and quality, while rigorously validating their output.
Build AI-enabled or agentic product capabilities where they create clear customer value.
Raise the engineering bar through code reviews, pairing, documentation, and mentorship.

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 are seeking a Software Engineer to join our core development team. You will design, build, and ship the platform that powers discovery, session-aware detection, policy governance, and runtime enforcement across workstations, SaaS, and cloud. You will work on scalable, low-latency services that process agent activity in real time and enforce security policies without slowing builders down. This role requires strong engineering fundamentals, a focus on system reliability, and an interest in the unique challenges of agentic security.

Responsibilities
Design and Implement Services: Design, develop, and deploy scalable backend services and APIs for the Security platform (customer and admin APIs, detection ingestion, aggregation, and control-plane services).

Build Core Features: Implement features for agent/MCP/skill discovery, session and intent-aware detection, policies, and runtime enforcement across coding agents and enterprise AI platforms.

Optimize Runtime Protection: Maintain and optimize high-throughput detection and enforcement pipelines that operate at enterprise scale (ingestion, detectors, verdicts, and policy dispatch).

Integrate with Platforms: Build and deepen integrations with coding agents, SaaS AI platforms, identity providers, EDR, SIEM, and outbound action systems to ingest telemetry and enforce controls.

Ensure Reliability: Focus on code quality, performance, monitoring, and stability through robust testing, CI/CD, and operational excellence.

Collaborate with Research: Partner with the AI Security Research team to turn findings, signatures, and heuristics into production-ready detectors and enforcement logic.

Contribute to Architecture: Participate in technical design and architectural reviews across our codebases, agents, and event-driven backend services.

Stay Current: Continuously learn and apply new technologies, development methodologies, and security best practices.

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.

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 Senior Full Stack Engineer with 7+ years of development experience at leading startups to own Zipher’s entire product surface — the control plane that turns autonomous decisions into something engineering leaders can see, trust, and act on. You will own it end to end: the services and APIs behind it, and the real-time interfaces built on top of them. This is a backend-heavy role: about 70% backend and 30% frontend. It is best suited for candidates whose primary expertise and passion lie in backend development.
What You’ll Do
* Own the product surface end to end : architecture, services, APIs, and the real-time interfaces built on top of them
* Set the technical direction of the control plane — stack, data contracts, and the patterns every engineer after you builds on
* Build high-throughput services that turn live telemetry from production data and AI workloads into decisions, and the explainability layer that makes those decisions readable
* Work directly with the founders on what gets built next, and lead the technical moves that follow — from what enterprise customers need to the architecture that answers it
* Drive quality end to end: testing, CI/CD, observability, and the operational bar for a product Fortune 500 engineering teams run in production
What We Offer A product that is already winning : a new category of autonomous data platform, in production inside Fortune 500 environments A domain of your own : you lead it end to end — the architecture, the stack, and the patterns every engineer after you builds on A seat on the core team : you are one of the engineers deciding what the platform becomes, not one implementing someone else’s decisions Engineering problems that are genuinely hard : real-time telemetry at enterprise scale, distributed decisions, and an explainability layer teams trust in production Engineers worth learning from : a deliberately talent-dense team, direct work with the founders, and a bar that pulls everyone up Room to grow and to lead : your ownership widens as the platform does, and the people who lead moves here keep leading them Top-of-market compensation and a meaningful equity package Ready to own 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 looking for a Full Stack Software Engineer.
As a Full Stack Software Engineer, youll work across the stack to design, implement, and ship high-quality workflows that solve real problems for real users. Youll collaborate directly with product and enterprise customers, see your code in production within days, and be part of a team that values ownership and thoughtful execution.
What youll do:
Develop and deliver full-stack AI-powered applications on top of platform.
Work closely with customers and internal teams to tailor solutions.
Extend the platform and UI/UX layer as needed.
Collaborate with platform and research teams to integrate AI capabilities into production use.
Write clean, tested, and maintainable code.

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 Tech Lead Engineer.
Build & Design
Develop end-to-end product features using a modern stack: Node.js (TypeScript), Angular, Python, LangGraph, Postgres, and AWS CDK. As a Tech Lead here, you wont just integrate AI models - youll help create the AI agents, tools, and capabilities themselves. Youll work on the most impactful AI capabilities, whether for smarter features, better workflows, or more personalized usage. Were always building whats next, not whats already crowded. Youll own solutions from database to UI, shipping real value, not just tickets.
Architect the Future
Take part in high-level architectural decisions, technical research, and design. Youll help shape scalable, robust, and forward-thinking systems that can grow with our customers and our product vision.
Collaborate with Purpose
Work directly with customers, stakeholders, and internal teams to build a seamless, intelligent platform experience. Youll translate real needs into elegant, reliable software that makes a tangible impact.
Lead & Mentor
Lead and mentor engineers while cultivating a culture of excellence and knowledge-sharing. Youll raise the bar on engineering standards through code reviews, design sessions, and hands-on collaboration.
Optimize & Innovate
Continuously improve platform performance, scalability, and maintainability, while staying ahead of industry trends. Bring fresh ideas into the product and drive innovation that moves the company forward.