דרושים » ניהול ביניים » Senior DevOps Engineer (5871)

We are seeking a highly skilled and motivated Senior DevOps Engineer to join our team. In this role, you will design, implement, and maintain scalable, reliable, and secure infrastructure while enabling development teams to deliver software efficiently. You will be responsible for driving best practices in automation, CI/CD, cloud operations, observability, and infrastructure as code, while mentoring team members and collaborating with cross-functional stakeholders.

Responsibilities

Design, build, and maintain scalable cloud infrastructure (AWS, GCP).
Implement Infrastructure as Code (IaC) using tools like Terraform, Helm.
Manage and optimize Kubernetes clusters and containerized workloads.
Ensure system reliability, scalability, and security across production and non-production environments.
Improve monitoring, logging, and alerting systems for proactive issue detection and resolution.
Develop and optimize CI/CD pipelines to improve software delivery speed and reliability.
Collaborate closely with developers, operations, and product teams.
Participate in on-call rotations and incident response, driving postmortems and improvements.
Mentor engineers and contribute to building a strong DevOps culture.
Continuously evaluate and adopt new tools, technologies, and processes to improve infrastructure and operations.

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 DevOps Engineer to join our fast growing company and in a breakthrough stage where we build our dream team with the most passionate and professional people in the industry. Our team thinks differently and quickly, delivering high quality and innovative solutions with the latest technologies and frameworks. And we never forget to enjoy the ride along the way!
What Youll Be Doing:
Championing DevOps culture: Identify friction points and implement scalable automation to improve reliability, delivery speed, and developer experience.
Operating and optimizing production environments: Leverage infrastructure as code and modern observability tools to ensure stability and performance.
Empowering R&D: Build intuitive internal tools that foster a self-service culture and enable teams to own their operational workflows.
Leading deployment lifecycles: Drive architecture, design, and hands-on implementation for deployments across multiple regions and environments.
Driving innovation with impact: Collaborate across teams, challenge the status quo, and take ownership of technical decisions.

Required DevOps Engineer
As a key member of our engineering team, youll work at the intersection of development, operations, and reliability. Youll automate cloud infrastructure, ensure system performance, and maintain secure, scalable deployments in a regulated fintech environment.
Responsibilities:
Manage and enhance cloud infrastructure (AWS, GCP, Azure, or similar).
Develop, maintain, and automate CI/CD pipelines to streamline application delivery.
Implement Infrastructure as Code (e.g., Terraform, Ansible, CloudFormation) for provisioning and managing environments.
Set up and maintain monitoring, observability, and alerting systems using tools like Prometheus, Grafana, Splunk, New Relic, ELK, etc.
Define, track, and act upon SRE metrics (SLIs, SLOs, error budgets) to balance reliability and development velocity.
Participate in incident response, including root cause analysis and remediation.
Automate repetitive tasks to reduce toil and increase system resiliency and uptime.
Collaborate with developers and security teams to embed security and compliance best practices (e.g., PCI DSS, DevSecOps).
Support on-call rotation and continuously improve operational processes.

We are looking for a talented and motivated DevOps Engineer to join 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 meetingshelping customers deploy and configure 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.

This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
The DevOps Engineer position is an operational engineering role and is an integrated part of our development team. You will be responsible for improving the efficiency of our processes, software, and infrastructure, and will be assisting RnD Team with product development. If you are DevOps Engineer that is passionate about automating and scaling everything, this job is for you.
Responsibilities
Monitor and optimize cloud infrastructure for performance, scalability, and cost-efficiency.
Manage and Maintain CI Infrastructure (GitLab CI and Jenkins).
Manage, Maintain and Improve our Release and Development Environments.
Support critical production infrastructure deployed in Multiple Clouds (AWS, Azure, and GCP).
Develop and Support RnD toolchain and implement best practices for code deployment, testing, and maintenance.
Automate On-Premises Labs Infrastructure by adopting IaC practices.
Lead and Develop Monitoring, Telemetry, Alerting, and Logging Production services.

Required Senior MLOps Engineer - AI Infrastructure
Tel Aviv
As a Senior MLOps Engineer, you will be pivotal in designing, implementing, and maintaining our AI cloud infrastructure. You will join a highly technological team responsible for developing our model-serving platform, optimizing inference, and ensuring reliability and cost efficiency. In this role, you will collaborate with key stakeholders across the company, including product engineering teams, internal clients (both researchers and engineers), and Security and DevOps, to automate processes, streamline operations, and drive impactful changes in our model-serving strategy.
Key Responsibilities:
AI Infrastructure Design & Implementation: Lead the design and implementation of our cloud-native infrastructure, ensuring it is performant, scalable, and cost-effective.
Automation & Streamlining: Help automate and streamline our AI operations and processes, enhancing efficiency and reducing manual intervention.
Cross-Functional Collaboration: Work closely with product engineering teams, including internal clients (both researchers and engineers), security, DevOps, and more, to ensure adoption of our AI platform.
Impactful Contribution: Play a major part in shaping the companys AI serving strategy, focusing on innovation and long-term success.

As a Cloud FinOps Engineer, you will drive cloud cost optimization strategies, build automation and observability solutions, and lead initiatives that promote transparency, accountability, and efficiency. Youll work closely with DevOps, R&D teams to design cost-efficient architectures, implement governance standards, and deliver insights that guide technical and business decisions.

Key Responsibilities:

Cloud Cost Monitoring: Maintain close, continuous oversight of cloud infrastructure costs to ensure transparency, predictability, and control.
Real-Time Cost Alerting: Develop and deploy real-time alerting systems to detect and notify on cost spikes or anomalies.
Service Analysis & Optimization: Gain deep expertise across cloud services and conduct regular audits to uncover cost-saving opportunities.
Short- and Long-Term Cost Strategies: Design and implement plans for both immediate cost savings and long-term cloud financial efficiency.
Dashboards & Reporting: Build dynamic dashboards and reports using Grafana, Datadog, AWS Explorer, Coralogix
Automation & Tooling: Configure and manage cost optimization platforms and develop internal tools for usage analysis.
Forecasting & Planning: Produce financial models and forecasts to support cloud scaling decisions.
Multi-Cloud Optimization: Analyze and optimize costs across AWS, Azure, GCP, and OCI environments.

As part of the DevOps org, you'll play a key role in shaping the production infrastructure that supports our engineering platformscontainerized, microservice-based, and cloud-native. Youll work side-by-side with R&D to evolve our CI/CD pipelines, improve system reliability, and scale production infrastructure that supports our global growth.

What youll do:

Level up our CI/CD architecture using Argo Workflows, GitHub Actions, and Kubernetes-native deployment strategies
Enhance our build & release pipelines for scalable, multi-arch Docker images, with quality gates and dynamic testing
Lead efforts to evolve our test automation framework across microservices (REST APIs, async flows, cloud services)
Collaborate with R&D on implementing progressive delivery, canary deployments, and real-time alerting with DataDog and Open Telemetry.
Build and scale production that works across multi-region cloud environments (AWS/GCP), using Terraform and Helm
Drive a DevEx-first cultureintegrate quality tooling (e.g., SonarQube, Trivy, Checkov) into developer workflows

Required Senior DevOps Engineer
Tel Aviv
As a Senior DevOps Engineer, you will be pivotal in designing, implementing, and maintaining our cloud infrastructure. You will join a highly technological team responsible for managing our cloud environments, optimizing infrastructure, and ensuring security and cost efficiency. In this role, you will collaborate with key stakeholders across the company, including R&D, Security, and Product teams, to automate processes, streamline operations, and drive impactful changes in our cloud strategy.
Key Responsibilities:
Cloud Infrastructure Design & Implementation: Lead the design and implementation of our cloud infrastructure, ensuring it is secure, scalable, and cost-effective.
Automation & Streamlining: Help automate and streamline our operations and processes, enhancing efficiency and reducing manual intervention.
Cross-Functional Collaboration: Work closely with all major stakeholders in the company, including R&D, Security, Product, and more, to ensure seamless integration of DevOps practices.
Impactful Contribution: Play a major part in shaping the companys cloud strategy, focusing on innovation and long-term success.