דרושים » ניהול ביניים » Devops Engineer

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.

Required Site Reliability Engineer Panda team
Realize your potential by joining the leading performance-driven advertising company!
As Site Reliability Engineer on the IT Production team in our Tel Aviv Office, youll play a vital role in building robust services and solving infrastructure challenges with automations while working with cutting-edge technologies and bringing those to their limits on our mostly on-prem cloud like infrastructure.
As a Site Reliability Engineer, youll bring value by:
Ensure Reliability & Scalability: Design, implement and manage highly reliable and scalable distributed systems across our on-premise, cloud and AI/ML environments. Proactively optimize performance, efficiency, resource utilization and cloud cost.
Drive Automation: Automate repetitive tasks, infrastructure provisioning, configuration and deployments using IaC and scripting languages (e.g., Python, Go, Rust).
Develop Observability & Capacity: Implement comprehensive monitoring and alerting systems to ensure system health. Collaborate on capacity planning to meet future growth.
Maintain Security & Compliance: Integrate security best practices and ensure compliance with industry standards.
Lead Incident Management: Participate in on-call rotations, lead incident responses and conduct root cause analysis to minimize downtime.
Foster Collaboration & Improvement: Work closely with development, operations and security teams to drive shared responsibility and continuous improvement in SRE practices.
Our Tech Stack:
Linux, Kubernetes, nginx, Istio, AWS, GCP, Azure, Alicloud, Fastly, Terraform, Consul, Prometheus, Loki, Grafana, Airflow, Redis, Kafka, Vector, Hadoop, Cassandra, Vertica, MySQL, HDFS, ELK.

If you are an experienced Senior DevOps Engineer, tech lover, cloud enthusiastic, and want to be part of an industry-disrupting tech company, please apply to join our journey in building the next big thing in finance.

Responsibilities:
Design, implement, and maintain automated infrastructure solutions using tools like Terraform, CloudFormation, and scripting languages.
Lead the deployment and management of infrastructure in AWS, ensuring scalability, reliability, and security.
Develop and optimize CI/CD pipelines to ensure rapid and reliable deployment of applications and infrastructure changes using tools like CircleCI and Terraform Cloud.
Implement, monitor, and maintain Docker containers and Kubernetes clusters to facilitate scalable, high-performance application environments.
Ensure infrastructure is secure, compliant, and resilient by applying best practices in access control, monitoring, encryption, and disaster recovery planning. Participate in regulatory audit processes such as those conducted by the Bank of Israel and SOC 2.
Continuously monitor infrastructure performance, identify bottlenecks, and resolve incidents to maintain uptime and reliability in compliance with SLA.
Collaborate cross-functionally with development, security, and operations teams; Establish and promote the standards of IaC and a DevOps mindset within the company.

As a Lead DevOps Engineer, your role involves the design and development of robust, scalable, and resilient distributed systems. You'll define product specifications, leveraging your technical expertise to create optimal solutions hosted in Kubernetes on AWS Cloud. This position requires extensive collaboration with various teams throughout the software development lifecycle. You will lead design discussions and code reviews, contributing to the overall quality of engineering within the organization.

Your responsibilities also include creating and supporting reusable application components and patterns, considering both business and technology perspectives. You'll utilize developer tools and a range of AWS services for task management, source code handling, building, deployment, operations, and real-time communication. You are expected to demonstrate advanced skills in application design, implementation, and maintenance, often with minimal supervision.

Beyond technical tasks, you will mentor other engineers, sharing your knowledge and actively contributing to the enhancement of best practices and processes within and across teams.

Responsibilities:

Design, build, and maintain the scalable cloud infrastructure and CI/CD pipelines necessary to support our cutting-edge AI and optimization services.

Champion Infrastructure as Code (IaC) practices using tools like Terraform and Kubernetes to automate the deployment, scaling, and management of our production environments.

Implement robust monitoring, logging, and alerting systems to ensure the high availability, performance, and reliability of all services.

Partner with development teams to streamline the software development lifecycle, improve deployment velocity, and embed best practices for security and operational excellence.


JR314438

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.
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.

Required Senior Release Engineer Infrastructure
Realize your potential by joining the leading performance-driven advertising company!
As a Senior Release Engineer on the Infrastructure group, youll play a vital role in solving scaling challenges in our build system, handling 8 million lines of code and 160,000 unit tests efficiently.
How youll make an impact:
As a Senior Release Engineer, youll bring value by:
Solve scaling challenges in our build system, handling 8 million lines of code and 160,000 unit tests efficiently.
Drive best practices for DevOps, site reliability, and infrastructure scalability.
Build and support a self-service toolset to empower developers and streamline release processes.
Design, implement, and maintain CI/CD pipelines to ensure smooth, automated, and reliable software releases.
Develop scalable infrastructure as code (IaC) solutions to improve deployment efficiency and system reliability.
Enhance observability, monitoring, and logging to proactively detect and resolve performance issues.
Work closely with development to optimize release workflows and reduce downtime.
Manage and improve containerization strategies using Kubernetes, Docker, and related technologies.
Leverage Gen-AI tools to accelerate development velocity across all RnD.
Own the management of third-party libraries in our central Java code repository, ensuring seamless Spring and Java upgrades
Our Tech Stack:
Java, Spark, Kafka, Hadoop, Cassandra, Vertica, MySQL, HDFS, BigQuery, Docker, Linux, Kubernetes, Prometheus, Metrictank, Grafana, Airflow, Redis.

Our team establishes best practices, creates guidelines, and promotes a strong DevOps culture across R&D. Design, implement, and operate large-scale, complex environments, ensuring high availability, seamless scalability, and optimal performance across diverse systems.

Job Responsibilities:

Lead and contribute to cross-organization DevOps projects.
Establish and enforce best practices for DevOps and R&D teams.
Research and evaluate new tools, technologies, and methodologies to improve DevOps processes.
Develop and maintain scalable and resilient infrastructure solutions.
Build and optimize CI/CD pipelines and deployment strategies.
Work closely with R&D teams to enhance service reliability, scalability, and performance.
Responsible for Kubernetes multi-cluster lifecycle management.

In this role, you will be responsible for:
Technical Leadership: Provide technical guidance and mentorship to the DevOps engineering team, overseeing daily operations and long-term strategic initiatives.
Cloud Architecture: Design, implement, and manage highly available, scalable, and secure cloud infrastructure on Amazon Web Services (AWS), adhering to industry best practices.
Container Orchestration: Oversee the management, optimization, and security of Kubernetes clusters and containerized environments.
Infrastructure as Code (IaC): Lead the adoption of IaC principles, directing the development and maintenance of configurations using Terraform/Tofu and Terragrunt.
System Reliability: Establish and refine Site Reliability Engineering (SRE) and monitoring methodologies, using tools like Prometheus to ensure system health, performance, and reliability.
Automation & CI/CD: Drive the continuous improvement of CI/CD pipelines to enhance automation, efficiency, and deployment speed.
Collaboration: Work closely with software development and operations teams to integrate DevOps principles throughout the software development lifecycle (SDLC).

We are looking for a talented and motivated DevOps Engineer to join our 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 meetings, helping customers deploy and configure our 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.