דרושים » מחשבים ורשתות » Senior DevOps Engineer

we are looking for a Senior DevOps Engineer.
As a Senior DevOps Engineer in our Cloud Applications team, youll play a key role in shaping and scaling our internal tools and cloud infrastructure. Youll design and implement robust CI/CD systems, build developer tools that streamline delivery and operations, and champion best practices in automation and reliability.
Youll collaborate closely with developers, DevOps colleagues and other engineers to ensure our services are efficient, secure, and highly available. This is a hands-on role with high visibility, technical ownership, and the opportunity to drive innovation across our engineering organization.
What You'll Be Doing:
Own and evolve our CI/CD platform - maintain and improve pipelines that enable rapid, reliable, and safe delivery of applications to production.
Develop and enhance our internal tooling ecosystem - design and implement automation tools that empower developers and simplify operational workflows.
Design and maintain umbrella Helm charts - manage reusable and scalable Kubernetes deployments, ensuring best practices in configuration management.
Contribute to system reliability and performance improvements - through observability, metrics, and continuous optimization.
Collaborate and support development teams - act as a trusted advisor by providing training, documentation, and guidance on how to best use our platform and tools.
Troubleshoot and resolve infrastructure issues - apply deep debugging and problem-solving skills to maintain platform stability and performance.

Were looking for a Senior DevOps Engineer whos passionate about developer experience, platform reliability, and cutting-edge automation.
This role goes beyond traditional DevOps - youll dogfood our own cloud and Kubernetes optimization products, providing hands-on feedback and product insights directly to our product and engineering teams.
Youll design and own a scalable, resilient, developer-friendly infrastructure while shaping how the company itself builds, deploys, and optimizes in the cloud.
Your ownership will include:
Architect, deploy, and manage Kubernetes-based platforms across AWS/GCP for scalable microservices.
Implement Infrastructure as Code using Terraform, Terragrunt, and Helm, ensuring fully automated, versioned environments.
Build and maintain CI/CD pipelines with Argo CD, GitHub Actions, and GitLab CI to streamline deployments.
Develop Python automation tools and internal platforms that enhance developer experience and reliability.
Continuously dogfood our optimization products (e.g., for Kubernetes and cloud cost automation) - validating their performance, identifying improvements, and advising the product team on real-world impact and UX.
Monitor and optimize system performance, scalability, and cost efficiency using observability and FinOps best practices.
Collaborate with R&D teams to improve developer velocity, CI/CD workflows, and infrastructure resilience.
Champion platform-engineering principles - enabling teams to deploy confidently and operate efficiently.

If you're passionate about building robust, scalable infrastructure, solving complex DevOps challenges, and working with a great team to drive real impact, we'd love to hear from you!

Key Responsibilities
You'll be responsible for building and maintaining the cloud infrastructure and deployment pipelines that power our AI-driven security platform, while also contributing to backend development. This role combines infrastructure work, cloud-native technologies, and hands-on development in a fast-paced environment.

What Youll Do

Design, implement, and maintain CI/CD pipelines and cloud infrastructure using Infrastructure as Code
Deploy and manage containerized applications using Kubernetes in production environments
Develop backend services and automation tools to improve system reliability and developer productivity
Implement monitoring, logging, and observability solutions across the stack
Collaborate with cross-functional teams to ensure scalable, secure deployment of AI-powered features

We are looking for a hands-on Senior DevOps Engineer with a strong cloud-native mindset to build, maintain, and evolve our highly scalable, highly-available cloud infrastructure. This role is pivotal in driving operational excellence, security, and automation across our entire engineering organization. You will promote communication, integration, and collaboration to significantly enhance our software development productivity and reliability. You'll work closely with engineering and product teams to streamline delivery, enforce platform standards, and enable a high-velocity development environment-all while keeping reliability and security top of mind.
Responsibilities
Design, Automate, and Manage complex cloud infrastructure on AWS using best-in-class Infrastructure as Code (IaC) practices.
Lead the operation and enhancement of our production Kubernetes environments (EKS), focusing on automation, security, observability, and seamless CI/CD integration.
Drive continuous improvement across platform tooling, developer experience, and operational processes to meet our ambitious performance and uptime goals.
Implement and enforce security-first infrastructure patterns, including strong IAM, network segmentation, and secure secrets management.
Actively contribute to high-level technical design discussions and cross-functional architectural decision-making, ensuring solutions align with long-term platform strategy.

we are looking for a Senior DevOps Engineer with a strong software development background to build and evolve our internal DevOps platform. You will sit at the intersection of Platform Engineering, SRE, and MLOps - owning the infrastructure and tooling that powers production and enables our developers and data teams to move fast, safely, and with confidence.
If you believe DevOps should be a self-service platform, love automation, and naturally think in systems and end-to-end flows, keep reading.
What You Will Do:
Build a DevOps Platform (Platform-as-a-Product): Create internal services and golden paths that scale across teams (self-service over ad-hoc, repeatable over personal support).
Own CI/CD End-to-End: Design, build, and maintain Jenkins and GitHub Actions pipelines that move code from commit to production with high reliability, visibility, and safety.
Operate and Evolve Our AWS Stack: Hands-on ownership of AWS, including services such as ECS, EKS, Lambda, WorkSpaces, DynamoDB, Redshift, S3, DocumentDB (and the surrounding networking, IAM, observability, and deployment patterns).
Enable MLOps and Data Workflows: Support and automate ML and data pipelines using tools like Airflow, MLflow, and Jupyter Notebooks (plus integrations with compute, storage, and security controls).
Automation First: Eliminate manual work through Infrastructure-as-Code, scripting, and internal tooling. Build reusable components instead of one-off solutions.
Cost Optimization (FinOps): Drive cost visibility and optimization (tagging, budgets/alerts, rightsizing, workload efficiency, and practical trade-offs between cost and reliability).
Security Ownership: Bake security into pipelines and infrastructure (least privilege, secrets management, supply chain controls, vulnerability scanning, hardening, and incident readiness).
Leverage AI to Move Faster: Use AI tools such as Cursor, GitHub Copilot, and Claude Code to accelerate delivery (without compromising quality, security, or reliability).
Cross-Team Collaboration: Partner with Engineering, Data, and AI teams to unblock delivery, improve developer experience, and keep production stable.

We are looking for a talented and motivated DevOps Engineer to join our Cloud Engineering team. Youll play a key role in developing, maintaining, and scaling our SaaS product across AWS, Azure, and GCP. This includes managing our deployment packages (Terraform, CloudFormation, Azure Bicep), ensuring seamless integrations with customer environments, and enabling secure, reliable data scanning at scale.

As part of our DevOps team, youll not only drive automation and infrastructure management, but also participate in customer-facing installation meetings, helping customers deploy and configure our platform successfully.

Responsibilities:
Design, develop, and maintain cloud infrastructure on AWS, Azure, and GCP.
Manage Infrastructure as Code using Terraform, CloudFormation, and Azure Bicep.
Build, scale, and maintain Kubernetes clusters and containerized applications.
Implement automation for deployment, monitoring, and incident response.
Write and maintain Python and Bash scripts for automation, integrations, and tooling.
Troubleshoot networking, connectivity, and security issues (TCP/IP, UDP, VPNs).
Collaborate with engineering and product teams to optimize deployments.
Support customer onboarding by assisting with setup and deployment meetings.
Continuously improve CI/CD pipelines and operational processes.

Required Senior DevOps Engineer, Data Platform
The opportunity
Technical Leadership & Architecture: Drive data infrastructure strategy and establish standardized patterns for AI/ML workloads, with direct influence on architectural decisions across data and engineering teams
DataOps Excellence: Create seamless developer experience through self-service capabilities while significantly improving data engineer productivity and pipeline reliability metrics
Cross-Functional Innovation: Lead collaboration between DevOps, Data Engineering, and ML Operations teams to unify our approach to infrastructure as code and orchestration platforms
Technology Breadth & Growth: Work across the full DataOps spectrum from pipeline orchestration to AI/ML infrastructure, with clear advancement opportunities as a senior infrastructure engineer
Strategic Business Impact: Build scalable analytics capabilities that provide direct line of sight between your infrastructure work and business outcomes through reliable, cutting-edge data solutions
What you'll be doing
Design Data-Native Cloud Solutions - Design and implement scalable data infrastructure across multiple environments using Kubernetes, orchestration platforms, and IaC to power our AI, ML, and analytics ecosystem
Define DataOps Technical Strategy - Shape the technical vision and roadmap for our data infrastructure capabilities, aligning DevOps, Data Engineering, and ML teams around common patterns and practices
Accelerate Data Engineer Experience - Spearhead improvements to data pipeline deployment, monitoring tools, and self-service capabilities that empower data teams to deliver insights faster with higher reliability
Engineer Robust Data Platforms - Build and optimize infrastructure that supports diverse data workloads from real-time streaming to batch processing, ensuring performance and cost-effectiveness for critical analytics systems
Drive DataOps Excellence - Collaborate with engineering leaders across data teams, champion modern infrastructure practices, and mentor team members to elevate how we build, deploy, and operate data systems at scale.

We are seeking a Senior Production Engineer with extensive experience to lead the design, development, deployment, and operation of large-scale software solutions. This role is a critical bridge between Software Engineering and Infrastructure, demanding a deep proficiency in building and operating reliable, scalable systems within a complex Big Data environment.
What You'll Be Doing All Day:
Own Reliability and Scalability: Lead the architecture and implementation of best practices to ensure high availability, optimal performance, and horizontal scalability of our critical systems, operating within a vast Big Data landscape.
Infrastructure as Code (IaC): Develop, maintain, and evolve our infrastructure using advanced IaC tools (e.g., Terraform or Pulumi), ensuring full automation of service deployment and management across our AWS/GCP cloud environment.
Strategic Collaboration: Partner closely with application software engineering teams to design, conduct code reviews, and implement systems that are stable, secure, and performant.
Observability: Implement and manage robust monitoring, logging, and alerting solutions to enable proactive identification and deep Root Cause Analysis (RCA) of issues.
Automation & Efficiency: Identify and eliminate manual tasks ("Toil") by automating repetitive processes to continuously improve operational efficiency and system reliability.
Production Incident Response: Participate in an on-call rotation to quickly investigate, troubleshoot, and mitigate critical production incidents, driving post-mortems to prevent recurrence.
Performance Engineering: Analyze system performance, conduct performance tuning, and execute capacity planning to meet future demands.

As a Senior DevOps Engineer, youll be the technical driver behind the cloud infrastructure that powers Browse Management. Youll design, build, and scale highly available systems on AWS, enable fast and safe delivery through robust CI/CD, and embed bestinclass reliability, security, and cost efficiency. Youll partner closely with Backend, Frontend, Product, and Security to shape the next generation of our architecture.







Key Responsibilities
Design, implement, and maintain CI/CD pipelines across multiple teams.
Architect secure, scalable infrastructure on AWS (EKS, ECS, EC2, RDS, CloudFront, IAM).
Automate provisioning using Terraform, CloudFormation, and GitOps.
Implement observability, logging, and alerting best practices (Prometheus, CloudWatch, ELK).
Drive reliability, scalability, and cost efficiency across environments.
Mentor engineers and establish DevOps culture and practices.

We are seeking a Senior DevOps Engineer with extensive experience to lead the design, development, deployment, and operation of large-scale software solutions. This role is a critical bridge between Software Engineering and Infrastructure, demanding a deep proficiency in building and operating reliable, scalable systems within a complex Big Data environment.
What you'll be doing all day:
Own Reliability and Scalability: Lead the architecture and implementation of best practices to ensure high availability, optimal performance, and horizontal scalability of our critical systems, operating within a vast Big Data landscape.
Infrastructure as Code (IaC): Develop, maintain, and evolve our infrastructure using advanced IaC tools (e.g., Terraform or Pulumi), ensuring full automation of service deployment and management across our AWS/GCP cloud environment.
Strategic Collaboration: Partner closely with application software engineering teams to design, conduct code reviews, and implement systems that are stable, secure, and performant.
Observability: Implement and manage robust monitoring, logging, and alerting solutions to enable proactive identification and deep Root Cause Analysis (RCA) of issues.
Automation & Efficiency: Identify and eliminate manual tasks ("Toil") by automating repetitive processes to continuously improve operational efficiency and system reliability.
Production Incident Response: Participate in an on-call rotation to quickly investigate, troubleshoot, and mitigate critical production incidents, driving post-mortems to prevent recurrence.
Performance Engineering: Analyze system performance, conduct performance tuning, and execute capacity planning to meet future demands.