דרושים » תוכנה » Cloud FinOps Engineer

We are looking for a Site Reliability Engineer (SRE) to join our Engineering team. Someone who has a passion for observability, monitoring, automation, and high-availability systems, and who has a desire to solve complex technological challenges with a proactive approach to continuous improvement.
We use an interesting and mixed technology stack: Kubernetes, Terraform, CI/CD pipelines, Datadog, Prometheus, and cloud-native architectures.
In this position, you will use your expertise in building and scaling SRE operations, and will design, implement, and operate a world-class reliability strategy.
About Us
we are a key player the network security field, striving to provide the leading SASE platform in the market. Our innovative approach, merging cloud and on-device protection, redefines how businesses connect in the era of cloud and remote work.
Key Responsibilities
Develop and maintain our monitoring, alerting, and logging systems, ensuring high visibility into production environments.
Implement automation to improve system reliability, scalability, and efficiency.
Troubleshoot and resolve production incidents, leading root cause analyses and implementing permanent fixes.
Collaborate with software engineers and DevOps teams to enhance application performance and resilience.
Continuously improve operational processes, focusing on reducing toil and improving reliability.

We are looking for a DevOps DevOps Engineer to take ownership of our Cloud Infrastructure and Platform Engineering strategy, enabling high-scale, cutting-edge GenAI products running across 40+ Kubernetes clusters on GCP and AWS.
This role is a hands-on engineering , requiring deep expertise in cloud-native technologies, Kubernetes at scale, and modern DevOps principles. You will work closely with engineering teams to design and implement scalable infrastructure solutions, optimize developer workflows, and ensure reliability and efficiency across our platform.
Role and Responsibilities:
Cloud & Kubernetes Expertise: Design and implement highly scalable multi-cluster Kubernetes environments across GCP & AWS.
Developer Experience & Enablement: Lead the development of self-service tools and automation that improve efficiency for R&D teams.
Incident & Reliability Engineering: Work with engineering teams to optimize cost, performance, and reliability of production infrastructure through monitoring, capacity planning, and scaling strategies.
Security & Governance: Contribute to best practices for RBAC, IAM, cloud security, and compliance while ensuring infrastructure reliability.
Automation & Infrastructure as Code: Drive adoption of GitOps workflows and Infrastructure as Code (Terraform, Helm, Crossplane) to enhance automation and consistency.
Mentorship & Team Growth: Provide technical mentorship within the platform engineering team and contribute to knowledge-sharing across R&D.
Cross-Team Collaboration: Work closely with engineering teams to align cloud infrastructure goals with business needs and reliability requirements.

This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
The DevOps Engineer position is an operational engineering role and is an integrated part of our development team. You will be responsible for improving the efficiency of our processes, software, and infrastructure, and will be assisting RnD Team with product development. If you are DevOps Engineer that is passionate about automating and scaling everything, this job is for you.
Responsibilities
Monitor and optimize cloud infrastructure for performance, scalability, and cost-efficiency.
Manage and Maintain CI Infrastructure (GitLab CI and Jenkins).
Manage, Maintain and Improve our Release and Development Environments.
Support critical production infrastructure deployed in Multiple Clouds (AWS, Azure, and GCP).
Develop and Support RnD toolchain and implement best practices for code deployment, testing, and maintenance.
Automate On-Premises Labs Infrastructure by adopting IaC practices.
Lead and Develop Monitoring, Telemetry, Alerting, and Logging Production services.

We are looking for a talented and motivated DevOps Engineer to join 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 meetingshelping customers deploy and configure 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.

we are seeking an Engineering Team Lead to join our R&D organization, reporting directly to the Senior Director of R&D. This role is ideal for someone who can drive strategy and execution across infrastructure, data, and application domains, while guiding a multidisciplinary team of senior engineers. As an Engineering Team Lead you will lead a cross-functional team responsible for the systems, tools, and infrastructure that power our entire organization.

This includes ownership of DevOps, data engineering, internal IT, integration frameworks, and the development and operation of both internal and external-facing applications. Your team plays a critical role in ensuring enterprise readiness, operational excellence, and long-term scalability across all technical domains.



Responsibilities:

Lead & mentor a senior, cross-functional team of Software Engineers, DevOps Engineers, Data Engineers, and IT professionals.
Drive strategy & execution for production infrastructure, CI/CD pipelines, data platforms, internal tools, and external integrations.
Ensure operational excellence in all aspects of infrastructure, deployment, monitoring, and stability.
Own internal platforms and tooling supporting enterprise readiness, scalability, and cost-efficiency (FinOps).
Oversee application lifecycle for both internal-facing tools and client-facing (outbound) applications.
Partner with the rest of R&D and product teams to align technical decisions with business priorities.
Establish engineering best practices across DevOps, data, security, and reliability disciplines.
Foster a culture of experimentation, ownership, and flow within your team.

We are seeking an experienced Solutions Data Engineer who possess both technical depth and strong interpersonal skills to partner with internal and external teams to develop scalable, flexible, and cutting-edge solutions. Solutions Engineers collaborate with operations and business development to help craft solutions to meet customer business problems.
A Solutions Engineer works to balance various aspects of the project, from safety to design. Additionally, a Solutions Engineer researches advanced technology regarding best practices in the field and seek to find cost-effective solutions.
Job Description:
Were looking for a Solutions Engineer with deep experience in Big Data technologies, real-time data pipelines, and scalable infrastructuresomeone whos been delivering critical systems under pressure, and knows what it takes to bring complex data architectures to life. This isnt just about checking boxes on tech stacksits about solving real-world data problems, collaborating with smart people, and building robust, future-proof solutions.
In this role, youll partner closely with engineering, product, and customers to design and deliver high-impact systems that move, transform, and serve data at scale. Youll help customers architect pipelines that are not only performant and cost-efficient but also easy to operate and evolve.
We want someone whos comfortable switching hats between low-level debugging, high-level architecture, and communicating clearly with stakeholders of all technical levels.
Key Responsibilities:
Build distributed data pipelines using technologies like Kafka, Spark (batch & streaming), Python, Trino, Airflow, and S3-compatible data lakesdesigned for scale, modularity, and seamless integration across real-time and batch workloads.
Design, deploy, and troubleshoot hybrid cloud/on-prem environments using Terraform, Docker, Kubernetes, and CI/CD automation tools.
Implement event-driven and serverless workflows with precise control over latency, throughput, and fault tolerance trade-offs.
Create technical guides, architecture docs, and demo pipelines to support onboarding, evangelize best practices, and accelerate adoption across engineering, product, and customer-facing teams.
Integrate data validation, observability tools, and governance directly into the pipeline lifecycle.
Own end-to-end platform lifecycle: ingestion → transformation → storage (Parquet/ORC on S3) → compute layer (Trino/Spark).
Benchmark and tune storage backends (S3/NFS/SMB) and compute layers for throughput, latency, and scalability using production datasets.
Work cross-functionally with R&D to push performance limits across interactive, streaming, and ML-ready analytics workloads.

In this role, you will be responsible for:
We are seeking a skilled and motivated DevOps Infrastructure Engineer to join our DevOps Infra team, which is responsible for managing and evolving the cloud-native infrastructure that powers our microservices architecture. The team oversees our EKS-based Kubernetes platform, argoCD pipelines, infrastructure observability, Helm-based deployments, and mission-critical web services in AWS.
Role Summary:
This position is a backfill for a key role on the team. The ideal candidate will bring deep Kubernetes expertise, strong experience in observability tooling, and the ability to independently take ownership of infrastructure components in a fast-paced environment.

As the worlds leading vendor of Cyber Security, facing the most sophisticated threats and attacks, weve assembled a global team of the most driven, creative, and innovative people. At our company, our employees are redefining the security landscape by meeting our customers real-time needs and providing our cutting-edge technologies and services to an ever-growing customer base.
our company Software Technologies has been honored by Time Magazine as one of the Worlds Best Companies for 2024. We've also earned a spot on the Forbes list of the Worlds Best Places to Work for five consecutive years (2020-2024) and recognized as one of the Worlds Top Female-Friendly Companies. If you're passionate about making the world a safer place and want to be part of an award-winning company culture, we invite you to join us.
our company Harmony Email Security and Collaboration (Previously AVANAN) is a unique email solution that fully secures cloud email and cloud platforms using AI.
we are seeking a promising and talented DevOps Cloud Engineer to join our DevOps group. If you thrive in a fast-paced, dynamic environment, can handle multiple requests simultaneously, and enjoy working independently as part of a cutting-edge DevOps team, this is your opportunity to help make the world a safer place!
Key Responsibilities
Act as a DevOps Engineer within a highly skilled team, responsible for large-scale operations from development to production.
Design, develop, and maintain Avanans CI/CD solutions, including operating systems, containers, cloud orchestration, and full end-to-end automation.
Implement tools and procedures for monitoring, deployment, and alerting across our SaaS multi-tenant product family.
Participate in the large-scale migration of a highly complex system into a secured, regulation-compliant environment.
Continuously improve our cloud infrastructure to ensure fault tolerance, scalability, and security.
Plan capacity, stabilize, and enhance the performance of application infrastructure with cost efficiency and scaling in mind.
Design and shape our monitoring and logging solutions.
Execute all tasks with top-notch cloud infrastructure security as a guiding principle.

As part of the DevOps org, you'll play a key role in shaping the production infrastructure that supports our engineering platformscontainerized, microservice-based, and cloud-native. Youll work side-by-side with R&D to evolve our CI/CD pipelines, improve system reliability, and scale production infrastructure that supports our global growth.

What youll do:

Level up our CI/CD architecture using Argo Workflows, GitHub Actions, and Kubernetes-native deployment strategies
Enhance our build & release pipelines for scalable, multi-arch Docker images, with quality gates and dynamic testing
Lead efforts to evolve our test automation framework across microservices (REST APIs, async flows, cloud services)
Collaborate with R&D on implementing progressive delivery, canary deployments, and real-time alerting with DataDog and Open Telemetry.
Build and scale production that works across multi-region cloud environments (AWS/GCP), using Terraform and Helm
Drive a DevEx-first cultureintegrate quality tooling (e.g., SonarQube, Trivy, Checkov) into developer workflows

We are looking for an exceptional MLOps Team Lead to own, build, and scale the infrastructure and automation that powers state-of-the-art Large Language Models (LLMs) and AI systems.
This is a technical leadership role that blends hands-on engineering with strategic vision. You will define MLOps best practices, build high-performance ML infrastructure, and lead a world-class team working at the intersection of AI research and production-grade ML systems.
You will work closely with LLM Algorithm Researchers, ML Engineers, and Data Scientists to enable fast, scalable, and reliable ML workflows covering everything from distributed training to real-time inference optimization.
If you have deep technical expertise, thrive in high-scale AI environments, and want to lead the next generation of MLOps, we want to hear from you.