דרושים » מחשבים ורשתות » Senior Devops Engineer

Requirements:
6+ years of experience in DevOps or SRE roles, including at least 2 years in a technical leadership or team lead capacity.
Strong Linux systems administration background and deep familiarity with AWS cloud environments.
Proven experience with container orchestration and tooling (Kubernetes, Helm, Docker Compose).
Hands-on experience with infrastructure-as-code (Terraform, CloudFormation).
Strong understanding of CI/CD pipelines (GitHub Actions, Jenkins, etc.).
Proficient in scripting and programming (Bash, Python, Go, or Groovy).
Experience with monitoring and observability platforms (Prometheus, Grafana, ELK).
Excellent communication skills and the ability to work effectively with developers, QA, NOC, and support teams.
Experience with FinOps or cost optimization in cloud environments - a strong advantage.
Demonstrated ownership mindset, prioritization skills, and ability to thrive in a fast-paced, multi-tasking environment.

Requirements:
At least 5 years of proven experience in DevOps or Platform Engineering roles
Strong hands-on experience with AWS, including EC2, S3, RDS, VPC, IAM and a lot more
Deep Docker and Kubernetes knowledge
Proficiency with Infrastructure as Code tools (Terraform)
Solid POSIX shell scripting skills
Solid understanding of security best practices in cloud and containerized environments.
The ability to balance tactical tasks with long-term goals - Think Big.
Advantages:
Experience with CI/CD pipelines and GitOps workflows. GitLab CI and Argo CD
Experience with observability tools- Splunk, Prometheus, Grafana, OpenTelemetry
Strong understanding of GNU/Linux systems, networking and storage
Background in software development, Python and Java
Familiarity with Apache Spark, PostgreSQL, RabbitMQ
Familiarity with Crossplane or Pulumi
Youll excel by:
Effectively collaborate with cross-functional teams and communicate ideas clearly.
Problem-solving: Strong analytical and critical-thinking skills to identify and solve complex technical problems.
Being a motivated self-learner and to drive innovation and excellence in your work.
A commitment to thinking like an owner, taking initiative, and ensuring the success of our backend infrastructure.

Requirements:
Who You Are (Success Profile)
You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to whats needed, navigating seamlessly between high-level strategy and hands-on execution.
You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
You are a learner. You have a true growth mindset and never stop developing yourself, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
You are driven by innovation. You have a deep curiosity for how things work and are energized by solving complex technical challenges. You believe in the power of technology to accelerate transformation and are always looking for a better, more secure, and scalable way.
You think at scale. You connect your day-to-day work to the larger company mission and think globally. You build solutions, processes, and teams that are not just effective today but are built to last and support a high-growth, global organization.
What Were Looking for (Minimum Qualifications)
A minimum of 5 years of hands-on professional experience in DevOps, Systems Integration, Network Automation, or closely related technical domains within a cloud environment
Robust knowledge and operational experience in designing, building, and maintaining automated CI/CD pipelines and large-scale infrastructure automation frameworks
Expert-level proficiency in object-oriented programming with Python, alongside proven expertise in shell scripting and leveraging industry-standard automation tools like Ansible or Terraform
Practical experience with containerization technologies such as Docker and fundamental knowledge of container orchestration concepts like Kubernetes
Experience working with and managing resources on major public cloud platforms, such as AWS, Azure, or GCP
What Will Make You Stand Out (Preferred Qualifications)
Deep understanding and practical familiarity with core network services architecture, particularly DNS, and related networking protocols
Knowledge of and practical interest in cutting-edge technologies like Generative AI and Prompt Engineering, specifically how they can be applied to enhance operations and automation
Professional, hands-on experience utilizing and developing with Temporal or other complex distributed workflow manager solutions.

Requirements:
5+ years of experience in DevOps / Platform / SRE roles
Strong hands-on experience with Kubernetes in production
Deep experience building and maintaining CI/CD pipelines
Strong understanding of AWS cloud platform
Solid Linux and networking fundamentals
Experience working closely with software engineering / R&D teams
Scripting experience (Bash, Python, or similar)
Familiarity with GitOps practices
Experience with monitoring and observability tools (Preferred Datadog)
Nice to Have
Experience optimizing developer experience (DX)
Security-minded approach to infrastructure and deployments.

Requirements:
7+ years of experience in Cloud Infrastructure, Platform Engineering, or DevOps Core roles, operating production systems at scale.
Deep, hands-on expertise with AWS, including multi-account environments, IAM foundations, and advanced networking concepts.
Strong experience designing and maintaining Infrastructure as Code platforms (Terraform, CloudFormation, or equivalent) as the system of record.
Proven ability to design and operate GitOps-based infrastructure workflows with strong governance and operational discipline.
Solid experience with observability and monitoring platforms (CloudWatch, Grafana, Prometheus, or similar).
Demonstrated strength in systems thinking, troubleshooting, and operational decision-making under production pressure.
Excellent communication skills in English, with the ability to influence technical direction across multiple teams in a global environment.

Requirements:
What you bring (must-haves)
* 10+ years hands-on DevOps/SRE managing large-scale production workloads.
* Strong background in software development with extensive experience developing and maintaining production-grade applications
* Deep production experience: AWS (or major public cloud), Kubernetes, Terraform.
* Proven ownership: design ? implement ? release ? operate ? improve (independent and team-based).
* Excellent communication; comfortable collaborating with internal & external stakeholders. Nice to have
* Linux, networking (DNS/HTTP/TCP/IP), and security fundamentals.
* CI/CD with GitHub Actions/Argo CD; service mesh; policy-as-code.
* Observability: OpenTelemetry, Prometheus, Grafana.
* SRE practices (SLOs/error budgets); experience improving DORA-style outcomes.
* FinOps experience;
* Python/Node.js;

Requirements:
5+ years of experience in DevOps, SRE, platform engineering, or infrastructure roles.
Deep understanding of Kubernetes: API, CNI, scheduling, container runtimes and such.
Strong hands-on experience with Kafka and Istio (or similar technologies ), and core networking protocols (HTTP, gRPC, TLS).
Proven experience managing large-scale cloud infrastructure (AWS, GCP, etc.).
Experience in incident response and troubleshooting complex distributed systems.
Some software engineering experience, preferably in Golang.
Passion for automation, performance tuning, and operational excellence.

Requirements:
At least 5 years of experience as a DevOps.
At least 3 years of hands-on experience with Kubernetes.
Knowledge and experience with cloud vendors such as GCP/AWS - Must
Hands-on experience in production environments - Must
DB management - MySQL, MongoDB, Redis - Must
Experience with CI/CD tools such as Github Actions, Jenkins, or GitLab - Must
Experience with Terraform or other provisioning tools - Advantage
Development of Kubernetes Operators - Advantage
High Documentation skills - Advantage
Experience with operation of 24/7 Highly available production systems - Advantage.

Requirements:
Minimum of 4 years of experience in software development within a cloud environment
Strong proficiency in designing and developing scalable, distributed systems
Experience with Kubernetes (K8s), cloud infrastructure (AWS, GCP, or Azure), and cloud-native development practices
Solid understanding of performance optimization, troubleshooting, and functional/non-functional testing
Proficiency in Python, Go, or other backend programming languages
Experience with CI/CD pipelines, infrastructure as code (Terraform / Pulumi, Helm, ArgoCD) - advantage
Hands-on experience with AI/ML development, including monitoring ML models, evaluating performance

Requirements:
Master's degree or higher in Computer Science, Engineering, or a related technical field from a top-tier institution.
7+ years of experience as a Python developer, with a strong focus on data engineering and AI/ML systems.
Expert-level knowledge of Python and its ecosystem, including experience with data processing libraries like Pandas, NumPy, and PySpark.
Proficiency in designing and implementing scalable, maintainable, and efficient data pipelines.
Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
Expertise in version control systems (Git), CI/CD practices, and agile methodologies.
Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
Experience in the finance industry is a plus but not required.
Experience with AI/ML frameworks such as PyTorch, or scikit-learn, LLM, agents or systems of agents is a significant plus.