דרושים » מחשבים ורשתות » Devops & Infra Group Tech Lead

We are looking for an independent Senior DevOps Engineer who thrives in a fast-paced environment. You will join our centralized DevOps team, serving as a pillar of reliability and innovation for the entire engineering organization.

This is a 50/50 "Build vs. Run" role. Splitting your time between building modern automation and improving our developer experience and operational excellence, ensuring our production environments are rock-solid, secure, and highly available while managing the live environment from server infrastructure all the way to the application.

Tasks you will take part in:
Design and implement next-generation CI/CD automation flows to streamline the path from "Code" to "Production."
Lead the evolution of our Infrastructure-as-Code (Terraform) to make our systems more modular and self-service for developers.
Collaborate with backend teams to architect scalable microservices and optimize datastore performance (RDS, MongoDB).
Embrace AI-powered development tools (Cursor, Claude Code) to automate toil and accelerate infrastructure delivery.
Full ownership of our AWS accounts and multi-cluster Kubernetes environments.
Manage and fine-tune live production environments, ensuring 99.9% uptime for our mission-critical fintech services.
Drive our Observability strategy (Datadog/Grafana) to proactively catch issues before they impact our customers.
Participate in a weekly on-call rotation, serving as the first line of defense for platform reliability.
is used for creating requisitions 'from scratch'

We are looking for an experienced and hands-on DevOps Team Lead to bridge the gap between individual engineering execution and strategic leadership. Reporting directly to the DevOps Director, you will guide a team of DevOps Engineers, drive technical excellence, and ensure the smooth delivery of infrastructure, automation, and CI/CD capabilities across the organization. This role combines technical depth with people leadership - you are equally comfortable reviewing a Terraform plan and running a team retrospective.

Responsibilities

Team Leadership & Management
Lead, mentor, and support a team of DevOps Engineers, fostering a culture of ownership, collaboration, and continuous improvement.
Conduct regular 1:1s, provide constructive feedback, and support the professional growth of team members.
Coordinate workload distribution, sprint planning, and prioritization across the team in alignment with organizational goals.
Act as the primary point of escalation for technical challenges within the team.
Work closely with the DevOps Director to translate the DevOps roadmap into actionable team-level objectives.

Technical Execution
Design, implement, and maintain CI/CD pipelines using GitHub Actions and ArgoCD.
Manage and evolve cloud infrastructure across AWS, Azure, and/or GCP using Terraform, Helm, and Kubernetes.
Lead automation initiatives to improve deployment reliability, system scalability, and developer productivity.
Ensure robust observability through Prometheus, Grafana, and ELK, and participate in incident management and on-call rotations as needed.
Champion infrastructure security best practices, including secrets management (Vault) and container security.
Collaborate with R&D, QA, and Product teams to streamline release processes and resolve deployment bottlenecks.

Process & Governance
Define and enforce DevOps best practices, coding standards, and documentation guidelines across the team.
Drive post-incident reviews and implement learnings to prevent recurrence.
Monitor infrastructure costs and propose optimization strategies to the DevOps Director.
Maintain and improve technical documentation, runbooks, and operational playbooks.

As a Tech Lead DevOps Engineer, you'll own the technical strategy for our cloud infrastructure end-to-end, from architecture to production. You'll build the automation frameworks, IaC tooling, and CI/CD systems that let engineering ship fast and safely at scale, while setting the bar for observability, reliability, and incident response across the org. You'll work closely with engineering leadership to shape the infrastructure roadmap and make the tradeoffs between velocity, cost, security, and reliability, acting as a technical multiplier for the broader team.

What Youll Do
Responsibilities:
Own and drive the end-to-end technical strategy for cloud infrastructure across AWS and multi-cloud environments, from conceptual architecture to production readiness.
Design and implement advanced automation frameworks, internal developer platforms, and tooling utilizing Python, Bash, and modern infrastructure-as-code technologies (e.g., Terraform, CDKTF).
Architect and continuously evolve CI/CD systems and delivery pipelines at scale, reducing friction and elevating developer productivity and deployment safety standards.
Define and enforce organization-wide observability, reliability, and performance standards, establishing best practices for monitoring, alerting, incident response, and system health.
Partner closely with engineering leadership and cross-functional teams to shape infrastructure roadmaps, enable scalable deployments, and ensure resilient production systems.
Make and own high-impact technical tradeoff decisions that judiciously balance velocity, cost efficiency, security, and reliability in a dynamic, growth-oriented environment.
Serve as a technical mentor and force multiplier, elevating the infrastructure capabilities of the broader engineering organization and championing a DevOps-first culture.

we are looking for a DevOps Team Leader.
You will play a key role in leading and scaling our DevOps team. Your mission is to ensure that our SaaS platform is reliable, scalable, and efficient, while enabling engineering velocity and high-quality delivery.
This is a hands-on leadership role combining technical depth with team management. You will work closely with R&D and Product to continuously improve our infrastructure, deployment processes, and production operations.
Responsibilities:
Lead, mentor, and grow a team of DevOps/Infrastructure engineers, including 1:1s, career development, and performance feedback.
Own the CI/CD pipeline strategy, driving faster, safer, and more reliable deployments across services.
Design, implement, and maintain cloud infrastructure using Infrastructure as Code (e.g., Terraform, CloudFormation, Pulumi).
Lead the adoption and evolution of Kubernetes-based platforms and cloud-native microservices architectures.
Drive observability and reliability practices: monitoring, alerting, logging, incident response, and on-call rotations.
Define and enforce SLAs/SLOs, and lead root-cause analysis and postmortems for production incidents.
Partner with engineering teams to improve developer experience, build tooling, and reduce deployment friction.
Own cloud cost, capacity planning, and infrastructure scaling decisions.
Set technical roadmap and priorities for the DevOps function, in partnership with Engineering leadership.

We are looking for a hands-on 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.
Drive AI-Powered Automation: Design, build, and deploy infrastructure for autonomous AI agents and agentic flows, integrating AI tooling directly into developer platforms and CI/CD pipelines.
Architect AI Platform Infrastructure: Establish reliable, scalable, and secure AI/DevOps orchestration frameworks to enable continuous deployment and runtime management of AI-driven tools.

As a Senior Site Reliability Engineer at our company 911, you'll own the infrastructure that keeps our platform reliable, scalable, and secure - work that directly supports mission-critical 911 systems used by public safety agencies. You'll drive infrastructure-as-code practices across AWS, lead observability efforts through Datadog, and bring modern AI-assisted engineering approaches into how the team builds and operates.
What You'll Do
Own and evolve AWS infrastructure using Infrastructure-as-Code (Terraform / Terragrunt)
Architect and scale AWS environments
Deploy, scale, and manage containerized workloads using Kubernetes and Docker; contribute to HA/DR architecture and platform strategy
Lead deployment and release processes using Argo (reference JD also names Bitbucket, Jenkins as part of the CI/CD toolset).
Define and enforce SLOs, SLIs, and error budgets; drive toil reduction across the platform
Drive full utilization of Datadog for monitoring, dashboards, and alerting across the platform (reference JD also names Prometheus, Grafana as potential observability tooling)
Build self-service internal developer platforms that empower teams to ship faster.
Take end-to-end ownership of infrastructure projects - define success criteria, execute, and measure outcomes.
Partner cross-functionally with engineering teams (e.g., network engineering, Dev owners) on long-term technical planning.
Bring AI-assisted engineering practices (e.g., Claude, MCP integrations) into daily workflows to improve team efficiency
Document work and provide cross-training to peers.
Resolve JIRA tickets across Cloud, CI/CD, deployments, and monitoring.

We are looking for a highly skilled and passionate DevOps Team Lead to lead the team responsible for our critical infrastructure, platform services, and core cross-product capabilities, ensuring scalability, reliability, maintainability, and high performance.

This role is ideal for an experienced engineering leader who is passionate about technology, thrives in high-growth environments, enjoys solving complex technical challenges, and is eager to drive technological innovation.

What Youll Do:
Responsibilities:
Lead and manage the platform/DevOps engineering team, including hiring, mentorship, performance reviews, and goal-setting.
Own the design and architecture of core infrastructure and platform services supporting all products.
Ensure scalability, reliability, and high performance of production systems.
Drive Infrastructure as Code and GitOps practices across cloud environments.
Design and operate large-scale cloud services (AWS/Azure/GCP), including cost and security ownership.
Implement and continuously improve DevOps practices, CI/CD pipelines, and observability (monitoring, logging, alerting).
Make technical decisions on large-scale data technologies such as Kafka, Spark, and OpenSearch.
Work within Agile methodologies and collaborate closely with product, R&D, and other engineering teams.
Own cross-product platform capabilities, ensuring consistency and engineering standards across teams.
Champion a culture of automation, engineering efficiency, and continuous improvement suited to a high-growth startup.
Manage the team's priorities, roadmap, and technical budget in coordination with engineering leadership.

We are seeking an experienced and highly motivated Senior DevOps Engineer to join our engineering and DevOps team. As a Senior DevOps Engineer, you will be the architect of our infrastructure, ensuring that platform is scalable, resilient, and secure. This is a hands-on role where you will bridge the gap between development and operations, automating our deployment pipelines and managing our cloud-native ecosystem. This is an incredible opportunity to shape the foundational infrastructure of a high-growth data company.

What You'll Do

Design, implement, and manage our cloud infrastructure using tools like Terraform, ensuring environment consistency and scalability.

CI/CD Automation: Take full ownership of our deployment pipelines, optimizing for speed, reliability, and developer productivity.

Cloud Orchestration: Manage and scale our Kubernetes (K8s) clusters on AWS, ensuring high availability and efficient resource utilization.

Observability & Monitoring: Implement and maintain robust monitoring, logging, and alerting systems to ensure platform health and rapid incident response.

Security & Compliance: Drive security best practices across the infrastructure, including IAM management, network security, and vulnerability scanning.

Collaborate: Work closely with software engineers to optimize application performance, containerization strategies, and database reliability.

We are seeking a hands-on, business-oriented DevOps Team Lead to spearhead our infrastructure and cloud operations. You will build and maintain the foundational systems enabling our agentic AI ecosystem while leading a team of talented engineers to translate technical capabilities into commercial impact.
Our core technology uses advanced AI predictive models (LTV, churn, and intent). You will ensure the high-performance infrastructure required for autonomous signal engineering and real-time recalibration of these models is optimized for performance and ROI.
In this role, you will bridge the gap between infrastructure excellence and business strategy, ensuring our technical roadmap is optimized for both performance and ROI.
Responsibilities:
Leadership & Hands-on Execution: Manage and mentor a high-performing DevOps team while remaining deeply involved in technical execution, architecture, and troubleshooting.
AI-Driven SDLC: Continue evolving our software development lifecycle by integrating AI-driven methodologies and agentic AI tools to automate delivery, improve code quality, and accelerate release cycles.
Infrastructure Management: Own and optimize our core cloud infrastructure on AWS and our data warehouse environment on Snowflake.
Resource Management & ROI: Take accountability for the cloud infrastructure budget. Monitor costs, manage vendor relationships (SaaS & AI tooling), and ensure all resource allocations drive tangible business value.
Security & Compliance: Enforce rigorous security standards and data privacy protocols across all infrastructure and engineering workflows to protect our product ecosystem.

We are seeking an experienced DevOps Engineer to join our Engineering team and play a key role in building and operating our cloud-native platform. The ideal candidate will have hands-on experience managing production environments at scale, driving cloud transformation initiatives, and supporting the of enterprise systems from on-premises deployments to modern SaaS and cloud-native architectures. You will be responsible for designing, automating, and maintaining scalable infrastructure, CI/CD pipelines, and deployment processes that support both our core products and emerging AI-driven capabilities. Working closely with Engineering, QA, Product, and AI teams, you will help ensure the reliability, security, and performance of our services while driving operational excellence and continuous improvement across our technology stack.
Responsibilities:
Design, implement, and maintain CI/CD pipelines.
Manage and optimize cloud infrastructure across AWS, Azure, and/or GCP.
Develop and maintain Infrastructure as Code using Terraform.
Manage Kubernetes-based environments and GitOps deployment workflows using Argo CD and Kustomize.
Lead and support the migration of enterprise applications and infrastructure from on-premises
environments to scalable SaaS and cloud-native architectures.
Establish, maintain, and continuously improve production environments, ensuring high availability, security, scalability, and operational excellence.
Demonstrate strong production ownership, including incident management, root cause analysis, capacity planning, and performance optimization.
Collaborate with Engineering, QA, Product, and AI teams.
Support the deployment, operation, and monitoring of AI and Generative AI services.
Build and maintain monitoring, logging, and alerting systems.
Troubleshoot and resolve infrastructure, deployment, and production issues.