דרושים » תוכנה » Senior DevOps Engineer

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.

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 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.

We are looking for a hands-on technical leader to drive the design, implementation, and evolution of our cloud infrastructure. Youll take ownership of building scalable, reliable, and secure systems that empower engineering teams to deliver with speed and confidence. Youll operate in a fast-paced environment, balancing innovation and pragmatism, and fostering a culture of continuous improvement and operational excellence.



Responsibilities:

Lead end-to-end technical initiatives to design and manage cloud infrastructure across AWS and other multi-cloud environments.
Build and evolve automation frameworks and internal tools using Python, Bash, and modern infrastructure-as-code technologies (Terraform or equivalents).
Architect, implement, and maintain CI/CD pipelines that streamline delivery and improve developer productivity.
Champion observability, reliability, and performance establishing best practices around monitoring, alerting, and system health visibility.
Collaborate closely with cross-functional engineering teams to enable scalable deployments, efficient development workflows, and resilient production systems.
Drive technical tradeoff decisions that balance speed, cost, and reliability in a dynamic, growth-oriented environment.
Act as a mentor and advocate for DevOps culture, enabling teams to take ownership of infrastructure and operations.

we are looking for a 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.

We are looking for a Senior DevOps Engineer who will own our cloud infrastructure, CI/CD systems, deployments, observability stack, and DevSecOps initiatives. You will work closely with backend, full-stack, and security teams to build a highly available, reliable, and secure production environment.

Key Responsibilities
Own and manage our DevOps, Cloud, and Monitoring environments end-to-end.
Design and develop the companys SaaS infrastructure, operational engine, and deployment strategies.
Build, maintain, and optimize CI/CD pipelines supporting multiple services and environments.
Introduce and implement DevSecOps shift-left practices across CI and CD pipelines.
Develop automation frameworks for provisioning, scaling, observability, and incident response.
Lead adoption of new technologies to improve engineering velocity, reliability, and security.
Work closely with architects and engineering leadership on cloud cost optimization, availability, and performance.
Ensure production readiness: monitoring, alerts, dashboards, SLOs/SLIs, and reliability processes.

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.

We're looking for a talented DevOps engineer.
As a DevOps Engineer you will work on our highly scalable gaming backend and our massive data processing pipeline, ingesting billions of daily events. Make sure our systems and infrastructures scale and perform at optimal levels.
Responsibilities
Responsible for DevOps, Cloud and Monitoring environments - Build infrastructure, tools and services to improve delivery and availability
Be part of product architectural and infrastructure design - Design and leverage the backend infrastructure and its security aspects
Responsible (together with the team members) for the company platform, up-time, infrastructure, scale and costs
Work alongside Architects, Developers, System administrators and other tech leads in the company.

We built a platform that builds businesses. From launching and managing to growing a business, our company is the all-in-one solution that empowers any business owner. Our platform services over 40 million small businesses Our Guidance Engine assesses each new business introduced to our platform and devises a tailored plan that allows you to manage all your business needs from a single dashboard. Through our business-building platform, were turning the process of starting, managing, and growing a business into a better experience; were simplifying the business journey. At our company, we believe in more than just handing you another tool; we are dedicated to teaching you the art of building a business About the Role As a Platform Engineer, you will help lead our Infrastructure, SRE, CI/CD, Security, and Scale/Performance efforts. Your work will have a direct impact on development processes across the entire R&D organization. You will take a leading role in defining and designing these systems, all to enable our FullStack and data teams to be as independent and successful as possible. At Tailor Brands, the Platform team doesnt manage all of our services on their own - they build the tools and guidance so our Development teams can own them end-to-end. The team also builds and maintains internal AI-powered platform capabilities, including in-house MCP (Model Context Protocol) servers that support R&D and data teams with enhanced automation, intelligent workflows, and AI-driven Developer tools.
* Take an active role in the Platform engineering team that focuses on all aspects of CI/CD infrastructure, GitOps full automation, and operational metrics to ensure the highest productivity for our Cloud infrastructure. This includes contributing to new AI-augmented internal tools and workflows that improve engineering velocity and operational visibility.
* Lead the design and delivery of software and infrastructure to improve the reliability, scalability, and efficiency of our services.
* Design, develop, and maintain our core platform and CI/CD infrastructure and our development environments
* Manage cloud security principles and define best practices
* Build, configure, and tune highly available and fault-tolerant Container Clusters and K8s infrastructures
* Take an active role in defining the teams roadmap
* Develop automation to support our orchestration and application deployment
* Participate in extending our platforms AI adoption across the organization by integrating LLM-powered capabilities into operational and Developer workflows.

We are seeking a highly skilled Senior Networking AI Platform Engineer to join our Applied Networking AI group. In this role, you will help design and develop cutting-edge AI solutions, integrating them seamlessly into a variety of products. Youll collaborate closely with multi-functional teams of data scientists, software engineers, and DevOps professionals to ensure the efficient deployment, monitoring, and optimization of machine learning (ML) models.
As a key contributor, you will drive the entire software development lifecycle-from conceptualization and architecture to implementation and production-while working closely with engineering teams to solve complex problems and help build a successful company practice.
What you'll be doing:
Lead the design, development, and deployment of robust software systems across different platforms and environments
Architect, design, and implement scalable and high-performance software solutions, handling complex requirements and integrating various subsystems
Ensure systems are maintainable, flexible, and well-documented, with an emphasis on performance and security
Adapt to new tools, technologies, and frameworks, and be capable of taking ownership of the development process from conception to deployment
Supply innovative ideas and solutions, driving continuous improvement in both code quality and system efficiency
Develop and maintain scalable infrastructure for handling and deploying security and networking ML models in production, ensuring high availability, scalability, performance.
Design and implement data pipelines to efficiently process and transform large volumes of data for training and inference purposes.
Optimize and fine-tune ML models for performance, scalability, and resource utilization, considering factors such as latency, efficiency, and cost.
Collaborate with data scientists and software engineers to operationalize and deploy ML models, including model versioning, packaging, and integration with existing systems.