דרושים » ניהול ביניים » Site Reliability Engineer- Team Lead

Requirements:
Minimum 5 years of experience in DevOps or related roles.
In depth design experience and architectural knowledge
Extensive knowledge of Kubernetes and containerization technologies.
Proficiency designing Microservice and monolithic applications on AWS services.
Proficiency infrastructure as code tools (Terraform\Tofu)
Strong experience with Windows and Linux systems administration.
Proficient in SRE\Monitoring methodologies (Monitoring stacks with emphasis on Prometheus).
Familiarity with CI/CD pipelines and automation tools.
Excellent problem-solving and communication skills.
Preferred Qualifications:
Certification in AWS, Kubernetes, or related technologies
Experience with monitoring and logging tools such as Prometheus, Elastic and various vendor solutions.
Knowledge of security best practices for cloud (AWS, in particular) and containerized environments.
Experience in designing and implementing highly available and scalable systems.
Strong understanding of networking and web technologies like Nginx and IIS.

Requirements:
Excellent communication and leadership skills.
5+ years of experience as DevOps Engineer
At least 2 years in a leadership role.
Deep knowledge of AWS and cloud-native architecture.
Strong experience with infrastructure-as-code tools (Terraform, Pulumi, etc.).
Expertise in CI/CD systems (e.g., GitHub Actions, Jenkins, CircleCI) and container orchestration (Docker, Kubernetes).
Proven track record building secure, reliable, and scalable systems.
Experience with monitoring, alerting, and observability tools (e.g., Prometheus, Grafana, Datadog).
Experience in a high-scale SaaS environment.
Strong scripting skills (Python, Bash, etc.).

Requirements:
3+ years of management experience leading a team of SRE, DevOps, or a similar SaaS role
Bachelors degree in Computer Science, Engineering, or related field (or equivalent experience)
Strong expertise in cloud platforms (AWS, GCP, or Azure), containers (Kubernetes, Docker), and configuration management (Terraform, Ansible)
Proficiency in Python or Go for automation and system optimization, as well as GitOps experience with SCM tools (e.g., Git, Bitbucket)
Strong leadership, communication, and collaboration skills, working across globally distributed teams
Familiarity with Agile methodologies, CI/CD pipelines, and orchestration tools (Jenkins, ArgoCD, StackStorm)
Familiarity with Chaos Engineering (e.g., Gremlin, Litmus, Chaos Toolkit)
Hands-on with alerting & observability tools (e.g., PagerDuty, OpsGenie, New Relic, Coralogix)
Strong understanding of scalability, high availability, and security best practices in cloud & Kubernetes environments.

Requirements:
10+ years of experience in Cloud Infrastructure, DevOps, or SRE, including leadership experience.
Extensive hands-on experience with AWS, Azure, and/or GCP in live production environments.
Deep expertise in cloud networking design (advanced VPCs, VPN peering, routing, firewall rules).
Strong proficiency with Terraform, Kubernetes, Helm, Python/Bash scripting, and CI/CD pipelines (Argo CD preferred).
Solid understanding of cloud security architectures and compliance frameworks.
Proven experience leading teams supporting production SaaS platforms in cybersecurity or critical systems.
Strong interpersonal, leadership, and communication skills.
Preferred:
Prior experience in cybersecurity products
Additional Skills:
Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Release Management, Security-First Mindset, User Experience (UX).

Requirements:
Desired Qualifications:
Experience in leading a team of 3-4 DevOps Engineers.
Proven hands-on experience with Docker and Kubernetes in production. Hands-on experience deploying and managing complex Kubernetes environments, including services, ingresses, load balancers, and Helm charts
Solid understanding of Linux/Unix Internals and experience with handling complex performance and configuration problems in Linux/Unix environment.
Multi-Cloud Expertise: Deep familiarity with both GCP and AWS for provisioning, networking, and cost-optimization strategies
Experience in DSL Configuration tools like Ansible, Chef, or Puppet.
Experienced with programming languages (Python is preferred).
Shell scripting experience.
Proficient in SRE\Monitoring methodologies (Monitoring stacks with emphasis on Prometheus)
Nice To Have Skills:
Experienced with CI/CD tools and frameworks.
Experience with managing binary repositories (RPMs, Pypi, NPM and etc)
Experience with developing Ansible collections, roles, and modules.
Experience with managing GitLab and GitLab CI.
Experience with Hashicorp Products: Terraform, Packer, Consul, Vault, and Vagrant.
Experience with automating configuration and deployment of On-Premises Lab Hardware.

Requirements:
At least 3 years of experience as a Team Lead
At least 5 years of work experience as a DevOps in a large-scale software development environment
Excellent collaboration skills with R&D teams and stakeholders
Proven experience of managing cloud infrastructure (Azure/AWS/GCP) using automated tools (such as Terraform, Ansible)
A good understanding of networking concepts (experience with hybrid-cloud setups is a plus)
Experience triaging and solving complex production infrastructure issues
Experience implementing SecOps projects and tools (in fields such as Cloud security, compliance certification, Zero trust etc.)
Hands-on experience with docker and container orchestration (Kubernetes is a plus)
Proven experience with scripting languages
Solid understanding of Linux systems
Experience in managing SQL and\or NoSQL databases is a plus

Requirements:
5+ years of experience with DevOps and cloud technologies.
2+ years of experience as a team lead.
Possess exceptional troubleshooting skills and diagnostic intuition for solving challenging problems.
Extensive experience with Kubernetes (both operational and deployment) and Docker.
High familiarity with public cloud providers (AWS, GCP, and Azure); proven expertise with more than one is a significant advantage.
Familiarity with continuous monitoring solutions, including Prometheus, Grafana stack (Loki, Mimir, Pyroscope), and OpenTelemetry.
Experience with event-driven microservices and event buses such as RabbitMQ or Kafka.
Strong knowledge of deployment models, capacity management, and service utilization.
Expertise in the design, architecture, and operation of complex, large-scale online services.
Programming and scripting proficiency in Bash, Python, or Golang.
Familiarity with GitOps principles is a must; strong experience with one or more Argo projects is a plus.
Proven experience with Infrastructure as Code (IaC) tooling like Terraform; experience with Crossplane is an advantage.
Experience working with databases (e.g., NoSQL, MongoDB) and a strong understanding of system and networking concepts and troubleshooting techniques.
Proven ability to collaborate effectively with cross-functional, global, and remote teams from diverse backgrounds.

Requirements:
What Will Make You Stand Out
* 5+ years of experience managing production environments at scale (as SRE, DevOps, Production Engineer, or similar)
* Deep knowledge of monitoring and observability stacks (e.g., Datadog, Prometheus, Grafana, ELK)
* Experience running or building incident response and on-call programs in a 24/7 environment
* Fluency with cloud-native stacks (AWS, Kubernetes/ECS, containers, CI/CD pipelines)
* Excellent communication skills under pressure with a strong sense of ownership and accountability
* Bonus: experience working in high-scale SaaS or regulated uptime environments (SOC 2, HIPAA, etc.)
Bottom line? If you wanna take part in transforming how people and businesses share their stories globally, Riverside’s your place. The work is challenging, the culture is fast-paced, and the people are exceptionally brilliant. And if that’s not enough, we guarantee that your ideas will genuinely make an impact.

Requirements:
Vast of experience as DevOps team/ tech lead- A must
Good understanding of DevOps philosophy and practices.
Relevant cloud certificates (AWS ,AZURE, Google)
Good Coding/ scripting abilities.
Proven experience and a good understanding of the meaning of 24/7 production environments.
Proven hands-on experience with Kubernetes.
Seasoned technologist with an in-depth hands-on work experience with large-scale implementations of cloud solutions on the major cloud vendors (AWS + GCP preferred).
Knowledge and experience in software development (Java / C# / Go / etc.) and cloud technologies development platforms and tools.
Working experience migrating applications from on-prem to public cloud.
Experience working with development teams to build and deploy modern applications in public cloud, along with DevOps methodologies and processes.
Understanding and experience with various deployment models including current technologies such as containers, based on Kubernetes and other platforms.
Understanding of general computer science principles.
Understanding of networking in general and specifically in the public cloud.
Understanding of emerging technologies and end-user needs.
Strong analytical skills with the ability to learn new information quickly yet effectively.
Understanding of Agile, SCRUM and similar methodologies.
Preferred:
Demonstrated skills in leadership, communication, analysis, problem solving and planning.
Experienced, persuasive, and effective presenter, both written and verbal.
Excellent interpersonal and organizational skills, ability to handle diverse situations, multiple initiatives, and changing priorities.
Overall experience in the industry should preferably be above 10 years.
B.A/M.Sc. in Data Science, Computer Science, Mathematics, Statistics, etc- an advantage.

Requirements:
2+ years of experience in a managerial or team leadership role, with a focus on mentoring and guiding technical teams.
At least 3 years of Devops experience hands-on experience
At least 3 years of experience in production environment
At least 3 years of experience managing cloud infrastructure as code - GCP or AWS.
At least 3 years of experience with K8s and its echo-system
Good familiarity with devops patterns and methodologies such as gitops, helm,deployment patterns, CI/CD patterns and implementation.
Experience with Google data products such as BigQuery, BigTables, CloudSQL, Cloud Spanner
Network concepts and WAF experience.
Experience with machine learning serving platforms such as Ray, Vertex - Advantage
Experience with Datapipelines / Apache beam - advantage
Cloudflare - Big advantage
Github, ArgoCD - advantage.