דרושים » ניהול ביניים » 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.

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.

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 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.

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 Tailor Brands, 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 DevOps 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 our company, the DevOps 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 DevOps 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 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 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.

Required Senior DevOps Engineer
Why Join Sensi.AI
Sensi.AI is transforming the world of home care through agentic AI - and were just getting started. As a hyper-growth startup, every team member has the opportunity to make a real impact on peoples lives while working as part of a global, collaborative team in a flexible hybrid environment.
About the Role:
As a Senior DevOps Engineer, youll design and maintain the secure, scalable cloud infrastructure powering our AI healthcare solutions. Youll build automation, CI/CD pipelines, and monitoring systems that ensure reliability and compliance in a fast-paced environment. Your work will directly enable our teams to innovate faster while keeping patient data safe and systems resilient.
What Youll Do:
Architect and manage secure, scalable cloud infrastructure (AWS)
Maintain CI/CD pipelines to streamline deployment and delivery
Automate provisioning, monitoring, and incident response workflows
Troubleshoot and resolve production issues, ensuring uptime and performance
Develop tools that accelerate development and improve operations
Collaborate with teams to uphold security, compliance, and reliability standards.

We are looking for a skilled senior DevOps Engineer to join our Cloud Infrastructure team.
In this role, you'll be at the forefront of developing our companys platform engineering frameworks used by development teams.
Youll develop our platform engineering solutions, which enable our product teams to move (crazy) fast. Youll work on developing our Infrastructure as Code, maintain all Cloud environments from Dev to Production, enhance Observability, and proactively drive our infrastructure to remain at the forefront of technology.
We are a fast-moving company that encourages and values innovators, deep-divers, and out-of-the-box thinkers.
In this role you'll:
Develop Infrastructure as code using Pulumi and the kubernetes operators framework
Work on maintaining and enhancing multiple kubernetes cluster across multiple development stages
Maintain and enhance our development environment solutions
Maintain and enhance our monitoring and observability
Implement new infrastructure features for cutting-edge products to the latest industry standards
Provide guidance, tools, and support for dev teams on infrastructure-related issues
Participate in incident management, including root cause analysis and post-mortem reviews
Participate in on-call rotation for production support.

Run:ai, now part of our company, has evolved AI infrastructure by merging GPU virtualization with Kubernetes-native capabilities. Our world class AI platform allows organizations to improve productivity and efficiency for data scientists and machine learning engineers. With deep Kubernetes expertise and a focus on innovation, we are dedicated to developing groundbreaking technologies. We deliver the best user experience for our customers and provide detailed access to workload performance through rich metrics. These metrics help users optimize their AI workloads. We are looking for highly skilled Devops engineers to join our Infrastructure Group and help shape the future of AI infrastructure.
What you'll be doing:
Take full end-to-end ownership of our cloud infrastructure, spanning development environments to production systems across various cloud platforms.
Compose, build, and develop the architecture of Run:AI cloud-native products for a variety of complex customer environments, including on-premise, and cloud
Identify and fix production issues while addressing performance challenges to ensure our systems operate flawlessly.
Collaborate closely with cross-functional groups to provide architectural and infrastructure input that builds product direction and composition.
Partner with R&D, Customer Success, Professional Services, and Pre-sales teams.
Continuously evaluate and implement new tools and technologies to improve our release and product deployment processes.