We're looking for an Infrastructure Engineer with a strong backend engineering mindset - someone who treats infrastructure as software.

In this role, you won't just operate infrastructure - you'll design systems, write code, and build controllers and automation that power our Kubernetes-native platform.

You'll work closely with platform, DevOps, and backend teams to create scalable, reliable infrastructure abstractions used by hundreds of developers.



Responsibilities
What Youll Do:

Design and build backend-driven infrastructure workflows using Kubernetes controllers and declarative patterns.
Develop automation and tooling in Go or Python to manage infrastructure at scale.
Manage AWS resources through Kubernetes-native approaches (ACK or similar controller models).
Develop internal APIs, scripts, or services that improve developer workflows and platform capabilities.
Operate and evolve multi-cluster Kubernetes environments with a focus on automation and reliability.
Implement observability patterns and integrate monitoring signals into infrastructure logic.
Collaborate with backend engineers to design infrastructure that behaves like software - versioned, testable, and automated.

We are looking for a proactive and skilled Software Infrastructure Developer with a strong Agentic AI focus to join our team. In this role, you will design and build the infrastructure, tooling, and AI-powered automation that keep our engineering systems reliable, scalable, and intelligent.

You will be responsible for embedding GenAI and agentic capabilities into our internal developer platforms and CI/CD workflows - creating frameworks, libraries, and multi-agent systems that accelerate automation, improve system stability, and unlock new levels of engineering productivity. This is a hands-on role for someone who thrives at the intersection of infrastructure engineering and applied AI.

The ideal candidate brings deep technical expertise in Python (FastAPI) and/or TypeScript, Kubernetes, CI/CD (Jenkins, GitHub Actions), containerization, and cloud infrastructure - combined with hands-on experience building LLM-powered applications, agents, MCP servers, and RAG pipelines.

What you'll be doing:
AI Platform Development: Design and build internal AI platforms, reusable SDKs, libraries, tools, and MCP servers for agentic applications.
Agentic Workflow Development: Develop single- and multi-agent workflows covering planning, tool selection, delegation, state and memory management, execution, retries, fallbacks, error recovery, and human-in-the-loop approval.
AI-Powered Infrastructure & CI/CD: Integrate AI capabilities into Kubernetes infrastructure and Jenkins/GitHub Actions pipelines to improve development, testing, deployment, and operational workflows.
AI Observability & Evaluation: Implement agent tracing, prompt and tool-call logging, latency and error monitoring, token and cost tracking, regression testing, and failure analysis.
AI Security & Governance: Apply guardrails, access controls, auditability, and governance practices to ensure agents operate safely and reliably.
End-to-End Platform Ownership: Own AI platform capabilities from architecture through production and build reusable solutions that accelerate adoption across engineering teams.
Cross-Functional Collaboration: Collaborate with engineering and business teams to identify high-impact AI opportunities and translate them into scalable technical solutions.
AI Research & Innovation: Evaluate emerging AI frameworks, models, and cloud technologies and promote their adoption where they provide measurable value.

We are looking for a passionate software developer to join our Cloud Infrastructure team, where we design and develop our company WAF's cloud infrastructure that protects our largest customers worldwide.
our company's WAF is a cloud-native web application firewall that protects applications and APIs from modern threats, including OWASP Top 10 attacks, bots, and zero-day exploits.
In this role, you will actively contribute to our infrastructure by designing and implementing new features considering security, cost and scale. In addition, this role also requires to occasionally implement features for customers.
You will join a team of software developers and devops engineers with a relentless get-things-done approach who are willing to contribute to all areas of development and constantly evolve their knowledge.
Major Responsibilities
Participate in improving our company's WAF cloud infrastructure across various domains: Backend, frontend, devops and automation if needed. Expertise in all of them is not required, but willingness to jump in is a MUST.
Take full ownership of features end-to-end, from design through production, including showcasing the feature, fixing bugs and teaching the team.
Assist in supporting deployment, maintenance and scale of multi-tenant cloud environments using AI, IaC and CI/CD.
Build and maintain monitoring dashboards, alerts, using data and metrics with a KPI-oriented approach.
Support production environment and troubleshoot issues as part of our on-call rotation.
Collaborate closely with other developers, product managers, Customer success, Sales, NOC, higher management and internal teams providing technical support.
Most importantly, be a strong and positive team player with a high sense of ownership and a get-things-done mindset.

Required DevOps Engineer
About the role:
Our DevOps team operates the infrastructure that powers our AI and Computer Vision platform across construction sites in 15+ countries. From data pipelines and ML workloads to backend services - you'll work with a diverse, modern, Kubernetes-based stack and have real influence on how we build, deploy, and operate.
What you'll do:
Own Multi-Cloud Infrastructure: Work alongside the team to design, scale, and operate our high-scale, multi-region production infrastructure across AWS and GCP, powering construction sites globally.
Drive Kubernetes at Scale: Manage and evolve our Kubernetes platform on EKS and leveraging GitOps practices with ArgoCD and Helm to enable safe, fast, and reliable deployments.
Build Robust CI/CD: Design and maintain CI/CD pipelines that empower dozens of engineers to ship confidently - with automation, testing, and progressive delivery built in.
Tackle Diverse Infrastructure Challenges: Work hands-on with a wide variety of workloads - from heavy data processing and Computer Vision pipelines to backend services and ML inference - each with unique scaling, performance, and reliability requirements.
Ensure Reliability & Observability: Build and maintain world-class observability (metrics, logs, tracing, alerting) so that issues are caught early and resolved fast. Performance, reliability, and scalability are at the core of what you do.
Security & Cost: Partner with the team to strengthen our security posture, identity and access management, compliance, and cloud cost optimization across both clouds.
Ownership from 0 to 1: You will have real influence over our architecture and tooling. We want engineers who care about shaping what we build and how we build it, ensuring performance, security, and observability are baked in from day one.

Key Responsibilities
We are looking for a passionate Software Developer to join our WAF SaaS Platform team, where we build, evolve, and operate our companys cloud-native WAF SaaS product.
In this role, you will develop new SaaS product capabilities while also building and operating the cloud infrastructure that powers the platform. You will work across backend services, Kubernetes environments, automation, CI/CD, monitoring, and, when needed, frontend components.
We are looking for a strong team player with a high sense of ownership, a get-things-done mindset, and the willingness to contribute across all areas of development - from UI and backend to DevOps and cloud infrastructure.
Major Responsibilities
Develop new features and capabilities for our companys WAF SaaS product, with a focus on backend services, cloud infrastructure, and DevOps-oriented development
Design, build, and maintain cloud-native infrastructure that supports customer environments, production workloads, and global SaaS deployments
Take part in creating and operating new POPs, improving customer environment provisioning, and evolving the platforms scalability and availability
Develop SaaS product capabilities such as certificate management, CDN-related flows, DDoS-related capabilities, onboarding flows, and other customer-facing platform features
Work with cloud services, CI/CD pipelines, monitoring, logging, and automation tools
Take end-to-end ownership of features and infrastructure components, from design and implementation through deployment, observability, support, and production operation
Build and maintain dashboards, alerts, and operational tools, using data and metrics to improve reliability, performance, and product decisions
Collaborate closely with developers, DevOps engineers, product managers, security researchers, support teams, and other stakeholders
Support production environments, investigate customer issues, and understand the real-world impact of features, bugs, and infrastructure changes.

We're hiring an experienced DevOps Engineer to join our engineering team. This role suits someone who has already spent real time operating cloud-native infrastructure at scale - not someone looking to break into the field. You'll bring a GitOps mindset, hands-on Kubernetes depth, and the independence to research and learn new tools quickly in a fast-moving, large-scale environment.
Design, operate, and troubleshoot Kubernetes clusters (EKS/AKS) at scale
Manage application delivery and infrastructure using GitOps tools (ArgoCD/Flux)
Build and maintain Helm charts and Kustomize overlays for multi-environment deployments
Provision and manage cloud infrastructure using Crossplane
Own and optimize CI/CD pipelines (GitHub Actions, GitLab CI) for build, test, and deployment workflows
Maintain and extend observability stacks, including Prometheus, Grafana, alerting rules, and dashboards
Write automation scripts and tooling in Python, Go, or Bash to streamline operations
Develop internal developer portals, AI agents, and other engineering productivity tools
Support AWS infrastructure across multiple accounts and regions, including networking, IAM, compute, and storage services
Participate in on-call rotations, troubleshoot production incidents, and drive root-cause analysis
Collaborate with Platform, Security, and Application Engineering teams on infrastructure design and reliability improvements.

You'll own and evolve the infrastructure and reliability of our production platform - a distributed, data-heavy system running on AWS and Kubernetes. You'll work closely with engineering to keep our services fast, reliable, and observable as we scale, while continuously improving our automation, deployment, and operational processes.
This role is a fit for someone responsible and hands-on, who wants to contribute to the team effort, take ownership, and keep learning and expanding their capabilities.
What You'll Do
Design, build, and operate scalable, resilient infrastructure on AWS and Kubernetes.
Own reliability: define SLOs/SLIs, improve observability, and drive down toil through automation.
Manage and tune our core data and workflow systems - ClickHouse, PostgreSQL, Kafka, and Temporal - for performance and reliability at scale.
Build and maintain CI/CD and GitOps workflows using ArgoCD and GitHub.
Manage infrastructure as code with Terraform.
Lead incident response, run postmortems, and drive systemic improvements.
Establish and improve engineering and operational processes suited to a company operating at scale.
Partner with development teams to make the right reliability, cost, and scalability tradeoffs.

As a Platform DevOps Engineer on the Core Platform, you will improve, operate, and scale our platform infrastructure. You will help accelerate development and deployment workflows while establishing strong standards for reliability, observability, performance, and security across enterprise AI products.

Key Responsibilities
Design, build, operate, and continuously improve cloud-native platform infrastructure and Development, Test, and Production environments.
Build, automate, and optimize CI/CD and deployment workflows using GitHub Actions, GitOps, and Argo CD.
Manage, maintain, and optimize Kubernetes environments, containerized workloads, Docker, and Helm.
Develop and maintain Infrastructure as Code using Terraform.
Partner closely with R&D teams to improve reliability, observability, performance, and security across the platform.
Establish and maintain monitoring, measurement, and alerting capabilities, including Prometheus-based tooling.
Develop automation and scripting tools that improve operational efficiency and developer experience.
Promote responsible and effective use of AI-powered code assistance and development practices.
Identify infrastructure bottlenecks and risks, and drive solutions that improve platform stability, scalability, and efficiency.

We are looking for a Senior AI Ops Engineer to join our AIOps team and help build the AI-powered platforms, agents, and workflows that enable engineering teams across our company.
This is a hands-on role for someone who can take AI solutions from idea to production, build the infrastructure around them, and create the observability needed to understand and improve how they behave in the real world.
Job responsibilities
Build and operate production-grade AI agents, AI-enabled tools, and workflows that empower developers and operational teams.
Design agentic systems using frameworks such as LangGraph, LangChain, and Supervisor, including RAG, MCP integrations, tool calling, and guardrails.
Build and evolve an AI SDLC harness that helps teams plan, implement, validate, govern, and safely deliver AI-assisted software changes.
Lead AI observability with Langfuse and OpenTelemetry, including tracing, evaluations, quality measurement, and cost analysis.
Build automated evaluation frameworks, including LLM-as-a-judge, to improve the reliability and quality of AI systems.
Design and maintain the infrastructure, CI/CD pipelines, GitOps workflows, and security controls that support AI services.
Develop internal developer tooling and automation that removes friction across the engineering organization.
Partner with engineering and product teams to turn real operational challenges into scalable AI-powered solutions.

we are looking for a Senior DevOps Engineer with deep AWS expertise and strong hands-on experience with Kubernetes, GitOps, and Infrastructure as Code.
In this role, you will design, automate, and scale secure, highly available infrastructure and CI/CD pipelines supporting flagship product. Beyond hands-on engineering, you will play a key role in shaping platform architecture, driving DevOps best practices, mentoring engineers, and continuously improving the reliability, scalability, and efficiency of our production environments.
Responsibilities:
Architect and manage secure, scalable, and highly available AWS environments, including multi-account and multi-region architectures.
Design and implement GitOps-driven CI/CD processes using ArgoCD, Argo Workflows, GitHub Actions, and related tooling.
Lead Infrastructure as Code (IaC) practices using Terraform and additional technologies such as Pulumi and Crossplane.
Build, operate, and maintain production-grade Kubernetes (EKS) environments, including Helm-based deployments and cluster lifecycle management.
Automate infrastructure provisioning, application deployment, and operational workflows across development, staging, and production environments.
Drive DevSecOps practices, including security scanning, secrets management, and compliance automation.
Establish and continuously improve monitoring, logging, and observability using tools such as Datadog, Prometheus, Grafana, and OpenTelemetry.
Partner closely with development teams to enable seamless application integration and rapid, reliable software delivery.
Optimize infrastructure for scalability, resilience, performance, and cost efficiency.
Mentor engineers, promote DevOps best practices across teams, and contribute to platform and architecture decisions.
Participate in and continuously improve the on-call rotation supporting mission-critical production systems.