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We are seeking a highly skilled and experienced DevOps Tech Lead to provide technical leadership across multiple DevOps teams within our R&D organization. As a key member of our DevOps and Infrastructure group at Aura, you will be instrumental in driving best practices, fostering technological innovation, and ensuring operational excellence across our infrastructure. This role offers a unique opportunity to shape the future of our cloud-native solutions, developer experience, and data infrastructure - including the rapidly growing AI and machine learning platform layer that underpins Aura's next generation of intelligent products.
Design Cloud-Native Solutions: Architect and implement scalable cloud infrastructure across multiple environments using Kubernetes and IaC - including purpose-built platforms for AI/ML training, GPU-accelerated workloads, and real-time model serving.
Lead Technical Strategy: Define the technical vision and roadmap for our DevOps capabilities, aligning multiple teams around common patterns, tools, and practices that drive efficiency and reliability.
Boost Engineering Productivity: Enhance Developer Portal, CI/CD pipelines, and internal tooling to shorten release cycles and reduce friction. Build self-service capabilities that let data scientists and ML engineers deploy and monitor models without DevOps intervention.
Optimize Data & AI Infrastructure: Engineer robust platforms that support our data-intensive workloads, ensuring performance, reliability, and cost-effectiveness for critical business intelligence systems.
Drive DevOps Transformation: Champion modern DevOps practices across engineering, establishing shared standards for how Aura builds, deploys, and operates software at scale.
Implement AI Observability: Build comprehensive tracking for AI/ML usage, cost attribution, and governance across users and services.
Mentor & Build Culture: Grow the next generation of technical leaders while fostering a culture of innovation, knowledge sharing, and continuous improvement within the DevOps teams.
What you'll be doing:
Technical Leadership: Shape the future of Aura's infrastructure and influence architectural decisions across the organization.
Wide Range of Technologies: Work across the full DevOps spectrum - from IaC and Kubernetes to data platform and developer productivity tools.
Personal Development: Clear path for career advancement as you demonstrate success and impact - at the intersection of DevOps and AI infrastructure, one of the fastest-growing engineering domains.
Innovation Playground: Experiment with emerging technologies and implement solutions at scale - including GPU scheduling, vector databases, and LLM serving frameworks.
Strategic Impact: Direct line of sight between your work and Aura's business outcomes.

We are looking for an outstanding Senior DevOps Engineer to join our revolutionary, large-scale mobile content discovery platform used by millions of users worldwide. In this role, you won't just keep the lights on-you will take a leading role in shaping our data infrastructure, setting architectural standards for AI/ML workloads, and bridging the gap between DevOps and Data Engineering.
Why youll love this team: We move fast, use cutting-edge technologies, and value absolute technical excellence over rigid bureaucracy. If you are passionate about solving complex, high-traffic infrastructure puzzles and want to see your work directly impact millions of daily users, this is the sandbox youve been looking for.
What you'll be doing
Design Data-Native Cloud Solutions: Design and implement scalable data and AI/ML infrastructure across multiple environments using Kubernetes, orchestration platforms, and IaC to power our AI, ML, and analytics ecosystem
Accelerate Data/ML 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/ML 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 DevOps Excellence: Collaborate with engineering leaders across backend and ML teams, champion modern infrastructure practices, and mentor team members to elevate how we build, deploy, and operate data systems at scale
Collaborate on high-level technical designs with ML and Backend engineers to build resilient systems.

This role is centered on gathering customers resources and insights from various cloud products, establishing connections between data sources, and handling large-scale data operations to run comprehensive evaluations and generate actionable posture intelligence.


What You'll Do:

You'll be responsible for processing vast amounts of customer data to create meaningful conclusions that help customers:

Discover misconfigurations, security risks, and compliance violations in cloud environments

Identify and prioritize security risk issues that require immediate attention

Gain valuable insights into their cloud resources and assets to enable faster, more effective investigations

Understand the potential risks associated with their assets and cloud environment

Make data-driven security decisions based on comprehensive analysis of their environment

This role is centered on gathering customers resources and insights from various CrowdStrike cloud products, establishing connections between data sources, and handling large-scale data operations to run comprehensive evaluations and generate actionable posture intelligence.


What You'll Do:

You'll be responsible for processing vast amounts of customer data to create meaningful conclusions that help customers:

Discover misconfigurations, security risks, and compliance violations in cloud environments

Identify and prioritize security risk issues that require immediate attention

Gain valuable insights into their cloud resources and assets to enable faster, more effective investigations

Understand the potential risks associated with their assets and cloud environment

Make data-driven security decisions based on comprehensive analysis of their environment

This is a Software Development Engineer (SDE) role in the engineering team that delivers the sensor (lightweight agent) on various container optimized Linux distros. This role will be part of the team designing and implementing new features in the sensor to secure cloud workloads. The work leverages eBPF and other technologies. These features will extend the power of the Falcon platform to provide seamless visibility, detection, and prevention for container processes running in orchestration environments like Kubernetes.

What You'll Do:

Create and maintain high-performance linux system software components. Analyze complex software features, and build effective test strategies and test designs.

Ensure systems and components reliability and performance through monitoring, testing, and debugging. Debug product issues found through test or customer cases to identify root cause and use the input to improve tests.

Work closely with a team of engineers to support and maintain a culture of high product quality and excellence. Collaborate with cross-functional teams to integrate sensor and cloud solutions. Work collaboratively with product and release management to control risk, improve quality, and streamline our release cycles

Participate in code reviews and provide technical guidance to team members. Participate in engineering best practices, including topics like secure coding, testing paradigms, debugging, performance measurement, code reviews, CI/CD and OS internals, to ensure that our sensor code is fast and reliable

Lead strategic technical initiatives focusing on containers and orchestrators security in both public and private cloud

Other projects as assigned

Required Manager, Site Reliability Engineering
Location:Tel-Aviv, Israel
Were committed to creating the best experience for business travelers, ensuring that our systems are always reliable, scalable, and efficient. As we continue to grow, were looking for a Site Reliability Engineering (SRE) Manager to join our team in headquarters based out of Tel-Aviv. In this role, you will lead a team of SREs, drive innovation in infrastructure design and automation, and ensure our systems run seamlessly at scale, serving thousands of travelers every day.
What Youll Do
Lead & Mentor the SRE Team: Guide and develop a high-performing team of SREs, fostering a culture of collaboration, reliability, and continuous improvement.
Drive Infrastructure Reliability & Automation: Collaborate with Engineering and Product teams to design and implement scalable, fault-tolerant systems. Leverage IaC tools (e.g., Terraform, CloudFormation) and microservices architectures to automate and improve infrastructure.
Incident Management: Improve incident response processes, reduce MTTR, and proactively mitigate risks. Apply resiliency patterns to ensure systems are fault-tolerant and highly available.
Define & Measure SLOs: Develop service-level objectives (SLOs) and KPIs to track and improve system reliability, using tools like NewRelic or DataDog for observability.
24x7 Production Support: Ensure system availability in a 24x7 environment, applying expertise in AWS (e.g., ECS, Lambda, DynamoDB) and database management for optimal performance.
Optimize CI/CD Pipelines: Automate and streamline deployment workflows using tools like Jenkins or GitHub Actions to ensure faster and more reliable deployments.
Resource Management: Manage team resources, including capacity planning, hiring, and upskilling, to meet evolving business needs.

we are looking for a DevOps Tech Lead
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 Tech Lead.
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 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.

we are looking for a Product Manager, Mobile.
What the work actually looks like:
Spending significant time with customers and data - forming a sharp, evidence-based view of what to build next and why.
Making hard prioritization calls - balancing customer-facing improvements, platform needs from internal teams, and long-term product investments.
Working across teams - product, engineering, design, security, and customer success - to align on scope and get things shipped.
Owning the full arc of a feature - from problem definition and spec to launch, adoption, and iteration.

As a DevOps Engineer, you will be responsible for the reliability, scalability, and efficiency of our SaaS products. Your success will be measured by your ability to achieve the following:

First 3 Months: Master our GitOps-based deployment pipelines. You will be expected to independently manage and troubleshoot deployments using ArgoCD and Kargo, and contribute to the team's on-call rotation.

First 6 Months: Enhance our CI/CD processes and workflow efficiency. You will lead the project to reduce average build and deployment times by 20% by optimizing GitHub Actions, Helm charts, and introducing initial AI-assisted automation.

First 12 Months: Improve system scalability and reliability. You will design and implement infrastructure enhancements using Terraform to support a 25% increase in customer workload while maintaining a 99.9% uptime.

Core Responsibilities

Deployment Pipeline Management: Build and maintain our GitOps-based deployment pipelines to ensure a 99% success rate for all deployments and reduce manual intervention by 30% within the first year.

Infrastructure Management: Manage and scale our Kubernetes infrastructure on GCP, with a goal of optimizing resource utilization to achieve a 15% cost reduction in our GCP spending over the next 18 months.

Automation and CI/CD: Enhance and maintain our GitHub Actions CI/CD pipelines to decrease the lead time for changes to production by 25% within the first year.

AI-Assisted Workflow Integration: Integrate AI-assisted tooling into day-to-day DevOps and engineering workflows to improve productivity, scalability, and operational efficiency. You will leverage AI tools to generate initial configuration drafts, validate infrastructure code, and utilize AI-driven automation to reduce repetitive manual tasks by 20% within the first 6 months, accelerating engineering execution while maintaining high-quality standards.

System Reliability: Proactively improve system reliability and availability, with the objective of reducing the number of critical production incidents by 50% through improved monitoring, logging, and alerting within 12 months.