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As a DevOps Engineer at our company, youll play a pivotal role in our cloud infrastructure group, driving the development, optimization, and maintenance of our cloud-based infrastructure. You will:
Design, implement, and maintain high-scale production cloud infrastructure solutions for availability, performance and resilience
Implement and maintain Infrastructure as Code (IaC) practices to ensure consistency and efficiency in deployment processes
Use your expertise in Linux and networking to enhance system performance, security, and reliability
Collaborate with cross-functional teams to understand business requirements and translate them into effective cloud solutions
Troubleshoot and resolve complex issues related to cloud infrastructure and services affecting millions of users.

Join the company Headless team, where you'll build and own products that give our company users the flexibility to create and grow their online presence in new ways.
Our team owns the product end to end - from the first interaction at the top of the funnel, through activation and conversion to premium, to the ongoing experience of our users. This means you'll work on problems that combine deep engineering challenges with product thinking and have a direct, measurable impact on key business KPIs.
You'll move between designing backend systems, solving architectural challenges, building product capabilities, and improving user experiences.
You'll have the opportunity to understand the entire product journey and influence both how we build and what we build.
We're looking for hands-on engineers who enjoy seeing the bigger picture. People who can take an ambiguous problem, understand the user and business need behind it, collaborate across disciplines, and drive a solution from idea to production and beyond.

Ensure employees are provided efficient and timely desktop and local infrastructure support across the organization
Provide professional and efficient IT support to our company employees across different locations and time zones remotely
Manage, monitor, and respond to requests received through the IT Helpdesk in line with our agreed SLAs
Identify opportunities to reduce service requests through better user training and documentation
Manage equipment inventory from evaluation and purchasing to maintenance and depreciation
Take ownership of the IT procurement process by working closely with suppliers, procurement, and finance teams
Work with auditors to ensure that procurement procedures are being followed
Manage onboarding and offboarding processes for on-site and remote workers
Manage and maintain audio-visual equipment around the offices
Manage endpoint installations, upgrades, and troubleshooting (for MacOS, Windows, and Linux).

Ensure employees are provided efficient and timely desktop and local infrastructure support across the organization
Provide professional and efficient IT support to our company employees across different locations and time zones remotely
Manage, monitor, and respond to requests received through the IT Helpdesk in line with our agreed SLAs
Identify opportunities to reduce service requests through better user training and documentation
Manage equipment inventory from evaluation and purchasing to maintenance and depreciation
Take ownership of the IT procurement process by working closely with suppliers, procurement, and finance teams
Work with auditors to ensure that procurement procedures are being followed
Manage onboarding and offboarding processes for on-site and remote workers
Manage and maintain audio-visual equipment around the offices
Manage endpoint installations, upgrades, and troubleshooting (for MacOS, Windows, and Linux).

You'll be a senior engineer on a deliberately flat, entrepreneurial team. Day to day you'll design and build agentic AI systems - agents, workflows, the orchestration layer that ties them together, and the infrastructure that makes all of it reliable at scale. This is hands-on building, not oversight.
What you'll do
Design and build agentic workflows and the AI systems behind them - agents, the orchestration layer, and the infrastructure that runs them reliably
Take significant, ambiguous areas of the system and drive them from rough idea to working capability
Help scale the platform from a first working workflow to something used across the marketing organization
Contribute to evaluation, quality, and reliability - making sure systems don't just run, but run well
Work directly with the people who'll use what we build, and translate their needs into systems.

As an xEngineer at AI Creation, you'll take on some of the most exciting engineering challenges at our company, shaping how AI becomes a core part of creating and editing stunning sites.
Take on engineering challenges to integrate AI as a first-class part of site creation and editing
Work on complex systems requiring deep technical understanding and collaboration with multiple engineering groups
Lead and own features end-to-end, from research and technical design to implementation and deployment
Collaborate closely with product managers, UX designers, and fellow engineers to deliver impactful solutions
At our company, we believe our best work happens together. Our work model is fully in person, with 5 days a week from our office. Flexibility remains a core value at our company and special requests are handled thoughtfully at the team level.

We are looking for a talented and motivated Software Engineer with hands-on experience building and operating multi-agent AI systems in production to join our company Automation Platform (DAP) team.
The team develops automation tools, orchestration capabilities, and intelligent platforms that simplify the deployment, management, troubleshooting, and optimization of large-scale network and AI infrastructure environments.
You will work on the design and development of AI-powered systems that bridge networking, automation, observability, and distributed infrastructure - running on Kubernetes at scale. Our stack includes LangGraph, Langfuse, RAG pipelines, MCP, and agent-to-agent (A2A) communication patterns.
This role combines strong software engineering with practical AI application development, with a sharp focus on production hardening, tracing, evaluation, and safety of agentic systems - not model training or research prototypes.

Join us to build cutting-edge systems, collaborate with world-class engineers, and shape how autonomous software is built in production.

We are looking for an AI Engineer to join the hunt.

Responsibilities:
Take part in the design and development of AI-driven features for our Dev-Native Observability Platform.
Collaborate with cross-functional teams to integrate AI solutions into existing systems.
Contribute to the product roadmap by identifying AI opportunities and providing insights as a potential end user
Stay updated with the latest AI trends and technologies to ensure our platform remains cutting-edge.

We are looking for a DevOps IT Engineer to join our dynamic IT team. This role blends hands-on system administration with modern DevOps practices, focusing on building, automating, and operating scalable hybrid environments across on-prem and cloud platforms.
If you are passionate about automation, cloud infrastructure, and improving developer productivity while maintaining robust and secure enterprise systems - we want to hear from you!
Responsibilities:
Design, build, and operate scalable infrastructure across on-prem environments and cloud platforms (AWS & Azure).
Manage and evolve virtualization platforms such as VMware and KVM (Proxmox).
Implement and maintain cloud infrastructure using Infrastructure as Code (IaC) and DevOps best practices.
Own identity and access management solutions including Azure Entra ID (Azure AD), SSO, MFA, Conditional Access, and directory synchronization.
Manage enterprise endpoint solutions such as Microsoft Intune and MobileIron/IVANTI.
Automate infrastructure provisioning, configuration, monitoring, and operational workflows.
Build and maintain internal tools to improve developer experience and engineering productivity.
Ensure system reliability, performance, and cost optimization across cloud and on-prem environments.
Maintain high security standards, compliance, and operational best practices.
Collaborate closely with DevOps, R&D, Security, and IT teams to support development and production environments.
Develop and maintain clear technical documentation.

We are seeking an exceptional software engineer with the imagination to challenge existing designs and the discipline to implement those ideas in production-quality systems.
This role requires a passion for software development, strong system design skills, and deep expertise in coding and debugging. The ideal candidate is also a natural mentor, capable of guiding and developing junior engineers.
This position is for a Principal Software Engineer with extensive experience in databases and systems algorithms for distributed data platforms (databases, replication, HA, data-traversal, deduplication), who can lead the design and implementation of large, complex initiatives end to end.

we are a leader in large-scale networking solutions for AI infrastructure and service providers. The company's disaggregated networking architecture transforms the economics of large-scale infrastructures while maximizing performance, utilization, and operational efficiency. Its high-performance AI fabric maximizes GPU utilization and accelerates deployments by optimizing the AI stack end-to-end, resulting in higher tokens-per-second and lower cost-per-token. our company's solutions power production networks for global tier-1 operators like AT&T and Comcast, and scale multi-vendor AI infrastructures at foundation model labs, NeoClouds, and enterprises.
our company's Cybersecurity business unit is building an AI-powered security platform for the world's largest service provider networks. The platform combines a cloud-native microservices backend with self-hosted LLM inference, delivered into customers' own Kubernetes environments - often air-gapped, with no data leaving their premises.
Responsibilities
Own the platform's Helm charts and make them portable across any Kubernetes distribution, including OpenShift (non-root, restricted SCCs, NetworkPolicies).
Operate the self-hosted operator stack: CloudNativePG, Strimzi, ECK, MinIO, Redis, and Temporal.
Run the Nx monorepo pipelines and drive the ArgoCD GitOps rollout.
Build zero-downtime releases using blue/green and canary deployments, expand/contract migrations, and automated rollback.
Manage autoscaling with KEDA/HPA, backup/restore for stateful services, and load-validation of stamp sizing tiers.
Provide on-call support for dev/staging environments and customer stamps.
Build and maintain observability using Grafana Alloy, OpenTelemetry, and Prometheus/Grafana - dashboards and alerts across services, Kafka, databases, and GPUs.
Improve developer experience through a shared dev cluster with local-debug traffic interception (Telepresence / mirrord), targeting sub-15-minute onboarding.

We are looking for the best of the best talent that is capable of dreaming out of the box and can execute on the dream and turn it into real value for our customers.
Were looking for a software engineer with a passion for software development, excellent design/coding/debugging skills and the ability to mentor and guide junior engineers.
The Infra group provides core components for our products. We design and develop the Infra for a large-scale distributed system. For example, we own areas related to high-avialability, data-managment, security and telemetry.

Were hiring a DevOps Engineer to join our growing DevOps team. You'll be working hands-on with modern AWS-native technologies, helping us scale secure and observable cloud environments, while partnering closely with developers to build and ship reliably.
Responsibilities:
Manage scalable, production-grade AWS infrastructure with Terraform
Maintain Kubernetes clusters, including deployments, autoscaling, and ingress
Handle cross-service communication using Kafka, SQS, or PubSub
Set up observability and alerting using Grafana, Prometheus, and log aggregation tools
Maintain CDN for traffic protection, rate limiting, and caching
Manage and improve CI/CD workflows using GitHub Actions and ArgoCD
Collaborate directly with developers on environment setup, debug sessions, and deployments
Implement IaC and GitOps patterns across services and teams
Participate in production operations, incident response, and on-call rotations

We are seeking an experienced and driven Senior Support Engineer to join our Global Customer Support team. In this role, you will be responsible for investigating, diagnosing, and resolving complex customer issues with the Real-time Data Platform. Youll work closely with engineering, technical writers, and client services to deliver exceptional support and help customers achieve success with us at scale.


What Youll Do
Troubleshoot and resolve technical issues for our customers across diverse environments (cloud, hybrid, on-prem).
Collaborate cross-functionally with Engineering to drive resolution of complex problems and contribute to product improvement.
Participate in real-time customer remediation efforts and live incident resolution.
Act as a customer advocate to ensure timely and accurate issue resolution.
Support enterprise customers with mission-critical systems and real-time data use cases.
Assist with new deployments, configuration guidance, and performance tuning.
Write and maintain high-quality documentation and Knowledge Base articles to scale support capabilities.
Contribute to a collaborative, agile, and globally distributed support team.

We are looking for a Senior Software Engineer to help build the core of our AI security platform and AI Control Plane.

You will build systems that help enterprises understand, monitor, and control how AI agents and LLM-based applications operate across their organization. We expect engineers to work in an AI-native way: leveraging and orchestrating AI agents to accelerate design, implementation, testing, debugging, and iteration, while owning the quality of the final result.

This role requires strong ownership, system design judgment, and the ability to turn complex AI-security problems into reliable production systems.

What you will do
Leverage and orchestrate AI agents and LLMs to design, build, test, debug, and ship core platform capabilities.
Build systems for monitoring, governing, and controlling AI agents, LLM applications, tool usage, prompts, context, policies, and runtime behavior.
Turn ambiguous AI-security problems into simple, scalable, production-grade systems.
Own technical decisions from design through production, working closely with Product, Security, and Engineering.