דרושים » מחשבים ורשתות » Senior DevOps Engineer (AWS)

We are looking for a hands-on technical leader to drive the design, implementation, and evolution of our cloud infrastructure. Youll take ownership of building scalable, reliable, and secure systems that empower engineering teams to deliver with speed and confidence. Youll operate in a fast-paced environment, balancing innovation and pragmatism, and fostering a culture of continuous improvement and operational excellence.



Responsibilities:

Lead end-to-end technical initiatives to design and manage cloud infrastructure across AWS and other multi-cloud environments.
Build and evolve automation frameworks and internal tools using Python, Bash, and modern infrastructure-as-code technologies (Terraform or equivalents).
Architect, implement, and maintain CI/CD pipelines that streamline delivery and improve developer productivity.
Champion observability, reliability, and performance establishing best practices around monitoring, alerting, and system health visibility.
Collaborate closely with cross-functional engineering teams to enable scalable deployments, efficient development workflows, and resilient production systems.
Drive technical tradeoff decisions that balance speed, cost, and reliability in a dynamic, growth-oriented environment.
Act as a mentor and advocate for DevOps culture, enabling teams to take ownership of infrastructure and operations.

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.

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.

As a Senior DevOps Engineer, youll design and maintain the secure, scalable cloud infrastructure powering our AI healthcare solutions. Youll build automation, CI/CD pipelines, and monitoring systems that ensure reliability and compliance in a fast-paced environment. Your work will directly enable our teams to innovate faster while keeping patient data safe and systems resilient.



What Youll Do

Architect and manage secure, scalable cloud infrastructure (AWS)
Maintain CI/CD pipelines to streamline deployment and delivery
Automate provisioning, monitoring, and incident response workflows
Troubleshoot and resolve production issues, ensuring uptime and performance
Develop tools that accelerate development and improve operations
Collaborate with teams to uphold security, compliance, and reliability standards

We are looking for a Senior DevOps Engineer who will own our cloud infrastructure, CI/CD systems, deployments, observability stack, and DevSecOps initiatives. You will work closely with backend, full-stack, and security teams to build a highly available, reliable, and secure production environment.

Key Responsibilities
Own and manage our DevOps, Cloud, and Monitoring environments end-to-end.
Design and develop the companys SaaS infrastructure, operational engine, and deployment strategies.
Build, maintain, and optimize CI/CD pipelines supporting multiple services and environments.
Introduce and implement DevSecOps shift-left practices across CI and CD pipelines.
Develop automation frameworks for provisioning, scaling, observability, and incident response.
Lead adoption of new technologies to improve engineering velocity, reliability, and security.
Work closely with architects and engineering leadership on cloud cost optimization, availability, and performance.
Ensure production readiness: monitoring, alerts, dashboards, SLOs/SLIs, and reliability processes.

We are seeking a Senior DevOps 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.

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.

If you're passionate about building robust, scalable infrastructure, solving complex DevOps challenges, and working with a great team to drive real impact, we'd love to hear from you!

Key Responsibilities
You'll be responsible for building and maintaining the cloud infrastructure and deployment pipelines that power our AI-driven security platform, while also contributing to backend development. This role combines infrastructure work, cloud-native technologies, and hands-on development in a fast-paced environment.

What Youll Do

Design, implement, and maintain CI/CD pipelines and cloud infrastructure using Infrastructure as Code
Deploy and manage containerized applications using Kubernetes in production environments
Develop backend services and automation tools to improve system reliability and developer productivity
Implement monitoring, logging, and observability solutions across the stack
Collaborate with cross-functional teams to ensure scalable, secure deployment of AI-powered features

we are seeking a highly skilled Senior DevOps Engineer to join our remote team. You will play a crucial role in optimizing our infrastructure, enhancing deployment processes, and ensuring the reliability of our services.

Responsibilities
What Youll Be Doing

Design, develop, and maintain the infrastructure for our security solutions at scale
Collaborate with cross-functional teams on the implementation of DevOps practices and tools
Ensure the continuous integration, delivery, and deployment of high-quality software
Implement and manage CI/CD pipelines using various tools (Jenkins, GitLab, GitHub)
Monitor and troubleshoot production environments using infrastructure as code principles.
Contribute to the design and implementation of security policies, processes, and best practices.

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.