As Armis grows rapidly, your role as a Software Engineer will be critical to the company’s success. You will build a robust infrastructure integrated with the Armis platform to acquire network insights. You and the team will design, develop, and maintain out-of-the-box modules, algorithms, and extensions while working with highly talented engineers.

What you'll do

• Develop and maintain integrations with various network devices and Network Management Platforms.
• Develop and maintain infrastructures that support integration’s products, process them, store them, and expose them to the rest ot the system
• Integrate with the Armis platform and be a key player in its design and development
• Develop extendable libraries and utilities that will speed up our implementations and make sure we’re building scalable and high-quality solutions
• Work closely with product and other R&D teams
• Help with solving complex customer issues and scale issues with our solutions and platform

What we expect

• 5+ years of experience with Python
• Networking and Network Equipment Background: In-depth understanding of networking protocols (TCP/IP, UDP, etc.), network architectures, and experience working with various network equipment (routers, switches, firewalls, WLC, etc.)
• Experience with developing and maintaining production, enterprise-level systems
• Experience with system architecture and finding creative solutions to complex problems
• Experience in dealing with performance and high-scale systems
• The mentality of a team player, a sense of ownership and urgency, versatility, and eagerness to learn new concepts and improve

Desirable Multipliers

• High-end tech stack, e.g., Docker, K8s, Redis, Postgres, etc.
• Asynchronous programming
• Microservice architecture

As Armis scales, we are looking for a Software Engineer to join the evolution of our Exposure Management core. You will be responsible for the high-throughput architecture that ingests and correlates data from hundreds of integrations and data sources. Your mission is to transform billions of raw data points into a unified asset inventory and an intelligent engine for security risk prioritization and remediation.

Our stack: Python, MongoDB, AWS, FastAPI, ECS, Celery

 What you'll do​

• Design and build an infrastructure to correlate multiple data sources and matching methods
• Research and develop algorithms for asset discovery , and solve complicated identification issues
• Develop extendable libraries and utilities which will speed-up our implementations and make sure we’re building scalable and high-quality solutions
• Work closely with product and other R&D teams
• Help with solving complex customer issues with our solutions and platform

What we expect

• 5+ years of experience in a backend-heavy role using Python/GO/C++/Java
• Proven track record of developing and maintaining production-grade, enterprise-level distributed systems
• Experience in system architecture and the ability to find creative, elegant solutions to complex problems
• Deep understanding of performance optimization and concurrency in high-scale, data-intensive environments
• Analytical mindset and a data-driven approach for problem-solving
• The mentality of a team player, excellent communication skills and a strong sense of ownership and urgency
• BS degree in Computer Science, Information Technology or equivalent

Desirable Multipliers:

• Experience with ETL / data pipeline (experience with Spark is a plus)
• SQL and no-SQL databases
• Asynchronous programming
• Microservice architecture
• Network Security

An operations-first engineer with deep expertise in running, scaling, automating, and monitoring streaming infrastructure like Kafka and RabbitMQ.

At Armis, streaming is at the heart of our product. We operate hundreds of streaming applications that transform, aggregate, analyze, and enrich the most valuable data we collect from our clients. We process billions of events and petabytes of raw data daily — and we’re just getting started.

Our mission is to provide a rock-solid, scalable, and secure infrastructure foundation that empowers our engineers to build and operate streaming services with confidence. This includes managing the full lifecycle of Kafka and RabbitMQ clusters, automating deployments, securing system access, and building out observability and monitoring capabilities that scale with our growth.

We are seeking a skilled and motivated DevOps engineer with deep familiarity in the streaming ecosystem to join our elite infrastructure team. If you're excited by the challenge of operating mission-critical systems at scale and optimizing the developer experience through automation and tooling, we’d love to hear from you.

What you will do

• Automate Deployment and Operation
  Oversee deployment of Kafka and RabbitMQ clusters (including Confluent Cloud & CFK). Build automation pipelines to ensure repeatability and resiliency across environments.
  
  
• Monitor and Support Production Systems
  Own production stability of global Kafka clusters. Handle on-call rotations, incident management, troubleshooting, and scaling challenges.
  
  
• Improve Infrastructure Observability
  Build and maintain observability systems: dashboards, alerting pipelines, metrics collection (Prometheus, Grafana, etc.).
  
  
• Optimize System Performance
  Collaborate with peers on benchmarking and optimization initiatives. Work on tuning Kafka brokers, cluster configurations, and runtime parameters.
  
  
• Provide Developer Support and Training (Infra-focused)
  Help developers configure topics, quotas, and consumers appropriately. Train service owners to interpret monitoring data and avoid pitfalls.
  
  
• Develop and Maintain Infrastructure
  Contribute to building infrastructure tools and scripts (IaC, Helm charts, etc.) that make provisioning and managing clusters reliable and efficient.
  
  
• Secure Infrastructure Access
  Configure and maintain secure access patterns across streaming infrastructure, ensuring proper authentication and role-based access controls are enforced for both developers and services.
  
  

What we expect

• 8+ years of experience in DevOps, SRE, or Infrastructure Engineering roles.
  
  
• Deep hands-on Kafka experience, including deploying, maintaining, scaling, and monitoring clusters.
  
  
• Experience with RabbitMQ.
  
  
• Extensive experience with Docker, Kubernetes, Helm, and GitOps-style deployments.
  
  
• Infrastructure as Code experience (Terraform, Pulumi, etc.).
  
  
• Strong skills in scripting and automation (Python, Bash, etc.).
  
  
• Familiarity with Confluent Cloud, Confluent for Kubernetes, and similar tools.
  
  
• Solid understanding of authentication and authorization mechanisms in distributed systems.
  
  
• Production support mindset – with proven troubleshooting and incident resolution history.
  
  
• Collaboration and communication skills – especially with dev teams depending on platform support.
  
  
• Experience with Istio Service Mesh (bonus).
  
  
• Experience with GovCloud (bonus).
  
  

Bonus Qualities:

• Mentorship and leadership experience in infrastructure or SRE teams.
  
  
• Contributions to automation or monitoring open-source tooling.
  
  
• Active participant in SRE or DevOps communities.
  
  
• Conference speaker or internal tech trainer.
  
  
• Technical writing about infrastructure automation or reliability.
  
  

As Armis evolves into a platform of multiple interconnected products, our success depends on how effectively and efficiently we build software. The Development Platform team is at the core of that mission — creating the tools, infrastructure, and standards that empower every Armis engineer to deliver with speed, reliability, and security.

We are looking for an Engineering Manager to lead the evolution of Armis’s engineering foundations — across both frontend and backend domains.

This role blends technical leadership, team management, and strategic impact. You’ll guide a multidisciplinary team responsible for developer experience, infrastructure, and governance across the R&D organization.

The team’s mission is to increase developer velocity, ensure product quality, and strengthen engineering consistency across all Armis products — from web applications to backend microservices.

What You’ll Do

Technical & Strategic Leadership

• Define and own the vision and roadmap for Armis’s development platform, including web, backend, and AI-enablement initiatives.
  
  
• Partner with engineering leadership, architects, and product teams to remove friction and increase velocity across R&D.
  
  
• Establish and govern engineering standards, testing practices, and secure development workflows.
  
  
• Lead the evolution of our shared frameworks, build systems, and developer tools for scalability and security.
  
  

Frontend & Web Infrastructure

• Own and evolve the UI development ecosystem, including build systems, testing frameworks, and local development experiences.
  
  
• Govern our shared UI kit and design system, ensuring consistency, accessibility, and performance across all products.
  
  
• Partner with UX and product engineers to create a cohesive, maintainable frontend foundation.
  
  

Backend & Microservices Infrastructure

• Oversee and guide the microservices development framework, templates, and communication patterns.
  
  
• Optimize monorepo builds, CI/CD pipelines, and runtime standards for efficiency, reliability, and observability.
  
  
• Implement infrastructure-level protections that improve product quality and prevent regressions.
  
  

AI Enablement Across R&D

• Champion and integrate AI-assisted development tools (code generation, code review, testing, documentation).
  
  
• Define patterns and best practices for AI-driven workflows, enabling teams to move faster with higher quality.
  
  
• Partner with data, DevOps, and product teams to explore how AI can optimize engineering processes and infrastructure.
  
  

People & Collaboration

• Lead, mentor, and grow a cross-functional team of backend, frontend, and platform engineers.
  
  
• Foster a culture of technical excellence, innovation, and continuous improvement.
  
  
• Collaborate closely with Product, UX, Security, and DevOps leaders to align strategy and execution.
  
  

What we expect

• 8+ years of engineering experience, with at least 3 years in a technical leadership or team lead role.
• Strong technical foundation in frontend architecture and tooling (React, TypeScript, build pipelines, testing).
• Solid understanding of backend infrastructure, CI/CD, microservices, and distributed systems.
• Experience leading platform or developer productivity teams in large-scale environments.
• Proven ability to establish engineering standards, governance, and automation across R&D.
• Curiosity and practical understanding of AI-assisted development workflows and related tooling (e.g., code completion, documentation, or CI automation).
• Excellent communication skills and a collaborative mindset that bridges frontend, backend, and AI initiatives.
  
  

Why Join Us

The Development Platform team is a strategic force multiplier at Armis — shaping how hundreds of engineers build, test, and deliver products.

You’ll lead the group that defines how software is built at Armis, from local development to production — while driving the adoption of AI technologies that enhance developer velocity and product quality.

If you’re passionate about creating world-class engineering environments and driving innovation through AI and automation, this is your opportunity to lead at scale.

The Data Science role at Armis is the engine behind our industry-leading Exposure Management (EM) platform.
You will be responsible for the AI models that power our CAASM (Cyber Asset Attack Surface Management) capabilities and our advanced Vulnerability Prioritization and Remediation engines.

We are building the intelligence layer that helps organizations implement a Continuous Threat Exposure Management (CTEM) framework. You will build models that normalize fragmented data from hundreds of sources, calculate complex risk scores, and prioritize which exposures actually pose a threat to the business.

We are looking for an experienced and creative data scientist, with a software development touch, to join our Data Science and Armis family. A data scientist that understands and loves data, and lots of it.

 What you will do...

• Solve Applied Product Challenges: Deep-dive into the Armis product ecosystem to identify and solve high-impact problems. You will translate complex customer needs into scalable ML features that directly improve the user experience.
• Lead Exposure Intelligence R&D: Develop features that unify asset data (CAASM) with threat intelligence. This includes building models for entity resolution (deduplicating assets across fragmented sources) and automated risk assessment.
• Advanced NLP & Knowledge Extraction: Use NLP and LLMs to parse unstructured security data—such as CVEs, threat intel feeds, and security advisories—to automate the mapping of vulnerabilities to specific business contexts.
• Predictive Prioritization: Design and optimize algorithms that go beyond static CVSS scores. You will incorporate exploitability (EPSS), reachability, and business criticality to help clients focus on the 1% of exposures that matter most.
• End-to-End Ownership: Work closely with Product Managers and Data analysts and Engineers to ensure your models aren't just accurate in a notebook, but are robust, explainable, and deliver clear value within the product UI.
• Graph-Based Attack Surface Mapping: Identify hidden patterns and relationships between assets, users, and vulnerabilities to visualize the potential "blast radius" of a security gap.

 What we expect...

• Academic Background: M.Sc./PhD in Computer Science, Statistics, Engineering, or a related field (or equivalent high-level professional experience).
• Industry Experience: 6+ years in Data Science, with a heavy focus on NLP and solving complex, real-world problems using ML/Deep Learning.
• Technical Mastery: Hands-on experience with PyTorch, Hugging Face, scikit-learn, and SQL. Familiarity with processing large-scale datasets (PySpark, or similar) is highly valued.
• Domain Awareness: Proven ability to apply statistical modeling to cybersecurity, risk management, or complex system analysis. Experience with Vulnerability Management or Graph Theory is a significant plus.
• Product and collaborative Driven Mindset: You are obsessed with understanding the "Why" behind the data. You enjoy learning the nuances of the product and the cybersecurity domain to ensure your DS solutions are highly applicable.

Curiosity & Grit: A passion for diving into "messy" data and finding the signal within the noise of the modern attack surface.

We seek an experienced and highly skilled Senior Engineer to join our Data Platform Team. This is an exciting opportunity to work on cutting-edge technologies, drive innovation, and play a key role in designing and implementing the company’s data infrastructure and architecture.

What you'll do

Database Infrastructure Development - Design, develop, and maintain scalable and reliable self-serve database infrastructure, including PostgreSQL, MongoDB, SingleStore, and AWS Aurora.

Big Data Infrastructure Development - Design, develop, and maintain scalable and reliable self-serve big data infrastructure, including cloud-agnostic data lakehouse, distributed databases, and platform-powered data pipelines.

End-to-End Ownership - Take responsibility for the entire lifecycle of data infrastructure, from DevOps (Terraform, Kubernetes) to application-level components (infrastructure libraries, core components in data pipelines).

Architecture Leadership: Collaborate with the Architecture group to define and maintain the company’s core architectural vision.

Partner with development teams, providing technical guidance, best practices, and support from the design phase to production deployment.

Innovation and Exploration - Work on diverse and impactful projects across different layers of the tech stack, exploring new technologies and approaches to improve reliability, efficiency, and scalability.

What we expect

• Extensive Experience in software engineering and data infrastructure.
• Extensive Expertise in the administration of OLTP and OLAP databases.
• Strong knowledge of big data frameworks, including Apache Spark, Athena, Trino, and Iceberg.
• Hands-on experience with DevOps tools such as Terraform, Kubernetes, and Cloud infrastructure.
• Proficiency in building and managing data pipelines and core infrastructure components.
• Strong problem-solving, communication, and leadership skills, with the ability to mentor and collaborate across teams.

If you’re a passionate and experienced senior engineer looking to make a significant impact, we’d love to hear from you!