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We are seeking a hands-on DevOps Engineer with strong experience in CI/CD and build pipeline optimization. You will focus on improving build performance, automating delivery workflows, and supporting reliable release processes using Azure DevOps (On-Prem) and Jenkins.
The role also includes IT-related tasks such as server installations, network troubleshooting, and OS support. The ideal candidate is highly technical, proactive, and works effectively with Development, QA, and IT teams to solve complex challenges.
Responsibilities
What you will be doing:
Design, build, and maintain CI/CD pipelines using Azure DevOps (On-Prem) and Jenkins.
Develop and maintain automation workflows using Ansible.
Own and lead build, release, and deployment processes for development teams.
Monitor system performance and ensure high availability and reliability of DevOps infrastructure.
Manage task tracking and ALM processes to support Agile/Scrum teams, including handling requests for task management changes.
Perform IT-related tasks, including physical server installations, network troubleshooting, and operating system support.

We are seeking a skilled and experienced DevOps Engineer to design, plan and implement scalable, reliable and robust system infrastructure to support the companys rapid business and traffic growth.
You will join an innovative, high-performance team and work with cutting-edge technologies in a dynamic and agile environment.
What you'll be doing:
You will take an active part in the challenge of managing a highly available and fault tolerant production environment.
You will assist in identifying and resolving performance concerns and operational bottlenecks, debug complex pitfalls and advise on system architecture solutions.
You will build, design and maintain self-serve devex tools to increase development velocity and satisfaction.
You will push and impact our systems to be more cost effective, performant and simple to use and extend.

Required DevOps Engineer
About The Position
We are architecting a new approach to the enterprise data stack built for the age of reasoning. We set the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.
WE are a pre-IPO, growth-stage company on a hyper-growth trajectory. Weve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the worlds largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. Were passionate about solving our customers most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.
What youll be doing:
We are at the forefront of automation, continuously striving to streamline our operations across all aspects of our infrastructure. We maintain a vast multi-cloud environment spanning AWS, GCP, Azure, and OCI, as well as a robust on-premises infrastructure.
Our team is responsible for maintaining and optimizing these diverse environments.
Key Responsibilities:
As a DevOps Engineer, you'll play a crucial role in supporting and expanding our automation efforts.
You'll be responsible for designing, implementing, and maintaining scalable and reliable infrastructure solutions across our multi-cloud and on-premises environments.

Were looking for a DevOps Engineer to lead core modernization initiatives that define how our R&D teams build, ship, and operate high-scale systems.

Youll tackle complex modernization challenges, including migrating legacy systems, scaling across multiple domains, and operating a large multi-account AWS environment.

Responsibilities:
Design and evolve a multi-account AWS environment supporting real-time, consumer-facing workloads used daily by millions of users.
Ensure scalability, reliability, security, observability, and cost efficiency across production systems.
Lead Terraform standardization across R&D, building reusable modules, patterns, and governance.
Lead CI/CD modernization initiatives, including transitions to new tools and delivery platforms.
Design secure, company-wide CI/CD workflows enabling faster, safer, and more autonomous releases.
Build tools, templates, and guardrails that increase developer autonomy and delivery velocity.
Lead complex modernization projects involving large-scale systems, multiple domains.
Integrate AI-assisted tools to improve developer productivity.
Work cross-functionally to remove friction, streamline delivery pipelines, and influence engineering standards across teams.

Required DevOps Engineer
As part of the role you will have the opportunity to:
Be a member of a strong team responsible for all DevOps aspects in the company: Cloud infrastructure, CI/CD, Monitoring, DataOps, SecOps and cost management
Architect, automate and manage cloud infrastructure (Azure & AWS)
Implement SecOps best practices in all infrastructure and processes
Integrate visibility and alerting capabilities into infrastructure and processes
Improve and automate CI/CD pipelines.

we are looking for a DevOps Engineer.
Responsibilities:
Collaborate closely with development teams to streamline processes.
Design, build and operate Kubernetes infrastructure and orchestration in Production.
Design, implement, and maintain automation workflows, scripts, and CI/CD pipelines.
Ensure infrastructure and application reliability, observability, performance, and security.

We are looking for a DevOps Engineer to join our dynamic and growing team.
Job Id: 23046
This is an opportunity to work alongside top engineers, gain hands-on experience in production environments, and help scale secure, high-performance services used by customers around the globe. You will be part of a fast-paced, startup-like environment, with the backing and stability of a global cybersecurity leader.
Key Responsibilities:
Support the deployment and maintenance of scalable, multi-tenant environments across cloud platforms
Assist in automating infrastructure using Infrastructure-as-Code tools and CI/CD pipelines
Monitor and improve the reliability, performance, and security of platform services
Collaborate with development, product, and operations teams to deliver new features and improvements
Troubleshoot infrastructure and application issues in development and production environments
Implement custom user interfaces using the latest programming techniques and technologies
Design, develop, and maintain DevOps-related microservices that support platform automation and reliability
Design and integrate agentic AI capabilities into DevOps workflows to automate decision-making, incident response, and platform operations.

We are looking for a Senior DevOps Engineer to join our R&D team in developing the next rising product in the health tech landscape. If you are looking for a challenging, influential position and are passionate about making an impact, this might be the role for you.
As a Senior DevOps Enginee, youll play a key role in the design, development, testing, deployment, and monitoring of our infrastructure and products. In this position, you'll make significant contributions to our observability stack, helping build and maintain robust systems for logs, metrics, traces, and alerting.
Our ideal candidate is passionate about DevOps and observability, has strong communication skills, and thrives on constant improvement for both technology and processes. If you enjoy working on multiple projects in parallel and are a proactive team player, youll fit right in.
This is a unique opportunity to join the core team of a fast-growing startup, where your contributions will have a direct impact on our product and success.
Responsibilities:
Support and collaborate with cross-functional engineering teams using cutting-edge technologies.
Contribute to the design, implementation, and maintenance of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, Loki)
Secure, scale, and manage our cloud environments (AWS and GCP)
Design and implement automation solutions for both development and production
Manage and improve our CI/CD pipelines for fast and safe delivery
Lead best practices in infrastructure, observability, configuration management, and system hardening
Continuously assess and improve existing infrastructure in line with industry standards

We are looking for a Lead DevOps Engineer to join our CSA Infrastructure group. In this role, you will take a technical leadership position, driving the design, scalability, security, and operational excellence of our cloud platforms, while mentoring engineers and shaping DevOps best practices across teams.
How will you make an impact?
Lead the design, evolution, and operation of large-scale cloud infrastructure on AWS and Azure, ensuring high availability, security, resilience, and cost efficiency
Drive Infrastructure as Code (IaC) strategy and quality, ensuring consistency, reusability, and maintainability across environments and development groups
Act as a technical authority for troubleshooting complex production issues and leading root-cause analysis
Collaborate closely with development, QA, security, and product teams to align infrastructure with business and product needs
Mentor and guide DevOps engineers, fostering a culture of ownership, learning, and continuous improvement
Lead initiatives around observability, monitoring, alerting, and incident response
Proactively identify risks, technical debt, and optimization opportunities
Evaluate, introduce, and scale new tools, technologies, and AI-driven automation to improve efficiency and reliability.

XM Cyber is the leader in hybrid-cloud security posture management, using the attacker’s perspective to find and remediate critical attack paths across on-premises and multi-cloud networks. We're looking for a Senior Devops Engineer for our R&D team, who is passionate about application architecture, system design, and end to end implementation. Key Responsibilities: You will independently determine and develop architectural approaches and solutions, building automated deployment and testing environments, managing performance bottlenecks and continuously improving the security and resilience of our platform, and act as a knowledge source for other team members. If you’re a get-things-done, hands-on creative thinker and doer, this one’s for you.

As a Senior DevOps Engineer supporting our Cortex Research Group, you will lead all DevOps and infrastructure initiatives that empower our researchers to move quickly, securely, and reliably. You will be responsible for designing, building, and maintaining the groups cloud environments, ensuring scalability, stability, and performance across a wide range of experimental and production workloads. Youll serve as the primary point of contact between the Research Group and other critical stakeholders-including Security, Networking, and Compliance teams-ensuring that research projects align with organizational standards while still enabling rapid innovation.
Key Responsibilities
Own and evolve the Research Groups cloud infrastructure and CI/CD pipelines to enable reproducible, automated, and scalable experimentation.
Define and implement standards for infrastructure-as-code, observability, monitoring, and resource optimization tailored to research use cases.
Proactively collaborate with security and compliance teams to enforce best practices for data governance, access controls, and regulatory requirements.
Partner with networking and platform engineers to integrate research workloads into the broader company ecosystem, ensuring seamless operation.
Serve as the primary technical liaison between the Research Group and stakeholders like Security, Networking, and Platform teams.
Mentor engineers and researchers on DevOps best practices, helping to instill a culture of operational excellence and applied learning.

It starts with you - an engineer driven to build resilient, automated infrastructure that enables teams to move fast with confidence. You care about operational excellence, developer experience, and reliability at scale. Youll architect and operate the compute and networking infrastructure that powers our AI platform - from CI/CD pipelines to Kubernetes clusters to observability systems - across cloud and on-prem environments.
If you want to build infrastructure that powers mission-critical AI systems at national scale, join our companys mission - this role is for you.
The Responsibilities
Architect and operate Kubernetes-based infrastructure across AWS and on-prem environments, ensuring high availability, security, and performance.
Design and maintain CI/CD pipelines for application and service deployments with automated testing, security scanning, and rollback capabilities.
Drive infrastructure-as-code practices for compute and networking - building reproducible, auditable, and version-controlled infrastructure.
Own reliability and incident response - establish SLOs, build alerting systems, lead incident resolution, and drive post-incident improvements.
Enable AI-native operations - support agentic deployment pipelines, self-healing infrastructure, and secure sandboxing for model experimentation.
Build and maintain observability systems - metrics, logging, tracing, and dashboards that provide visibility into system health.
Optimize infrastructure cost and performance - right-size resources, implement auto-scaling, and identify efficiency opportunities.
Collaborate with Engineering, Data Platform, Data Engineering, and Security teams to align infrastructure with platform needs.
Shape infrastructure characteristics that support data freshness, correctness, and low-latency pathways for AI training/inference, retrieval, and agentic workflows.
Contribute paved-road tooling - reusable CI/CD patterns for services, IaC modules for compute and networking, and runbooks - that streamline delivery across teams.
Collaborate with Engineering, Data Platform, Data Engineering, Security, Product, AI/ML, Data Science, and Analytics to anticipate and meet cross-functional needs.

We are looking for a DataOps Engineer to own the infrastructure that powers our large-scale data processing platform. This is a platform-facing role sitting at the intersection of data engineering and infrastructure - you'll be the person who makes Spark run reliably and efficiently on Kubernetes, so that data engineers can build with confidence.
You understand data workloads deeply enough to make smart infrastructure decisions, and you have the production instincts to keep complex systems healthy at scale. If you get excited about shaving minutes off Spark job runtimes, right-sizing cluster autoscalers, and building the internal tooling that makes a data platform feel effortless, this role is for you.
RESPONSIBILITIES:
Design, deploy, and operate the Kubernetes-based infrastructure that runs Apache Spark and large-scale data processing workloads
Own the reliability, performance, and cost-efficiency of the data platform - including SLAs, autoscaling, resource quotas, and workload isolation
Manage Spark-on-K8s configurations, Airflow infrastructure, and Databricks integration; tune for throughput, latency, and cost
Build and maintain CI/CD pipelines and infrastructure-as-code for data platform components
Develop observability tooling - metrics, logging, alerting, and data quality dashboards - to proactively surface issues across the pipeline stack
Collaborate closely with Data Engineers to understand workload patterns and translate them into infrastructure decisions
Manage cloud storage (GCS/S3), Delta Lake, and Unity Catalog infrastructure
Drive platform improvements end-to-end: from design through deployment and ongoing ownership.

our company has been defining computer graphics, pc gaming, and accelerated computing for more than 25 years. with an outstanding legacy of innovation, driven by phenomenal technology, and extraordinary people, we are looking for a strong technical dev platform engineer to join us in shaping the future of software development. platform engineers are builders who turn strategy into daily tooling. their expertise is practical and broad. they are hands on, producing reliable infrastructure that teams depend on every day.
as a senior dev platform engineer in the ai-native development team, you will build the infrastructure that enables ai-assisted software development at scale. this includes process workflow automation, multi-agent collaboration platforms, ai-powered review pipelines, and integrations with enterprise tools. you will work closely with development teams to understand friction points and translate them into robust, Developer -friendly tooling.
what you'll be doing:
build and extend process workflow automation tools - managing the pipeline from specification to merge, enforcing review gates per risk level.
design and implement multi-agent collaboration infrastructure - enabling multiple ai agents and humans to work on the same project with isolation, shared state, and handoff protocols.
build ai-powered review orchestration - deploying parallel expert reviewers with domain-specific configurations.
integrate ai development workflows with enterprise tools (issue trackers, source control, ci/cd pipelines) - auto-status updates, ai agent assignment, work breakdown.
develop markdown-based documentation workflows with review plugins.
rapidly iterate on tooling based on direct feedback from development teams.