Information Systems Engineer M/f/d jobs at Red Hat
Red hat Principal Software Engineer Advanced Cluster Security United States, North Carolina, Durham
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What You Will Do
Design, build, maintain, and test core backend services and APIs for the the Red Hat Advanced Cluster Security (RHACS) platform
Work across our product, focusing on efficient data collection, event processing and ingestion, storage and persistence, as well as APIs and presentation
Collaborate with other engineers, product managers, and product designers to shape, build, and improve new and existing features
Own core areas of the product, lead their design, and be responsible for their quality and health
Assist our Customer Support team in troubleshooting and resolving customer issues
Improve engineering standards, tooling, and processes
Have the opportunity to build a personal brand and strengthen the company brand through technical blog posts and open-source contributions
What You Will Bring
Experience writing high-quality, maintainable software
Openness to learning new technologies, programming languages, and concepts
Experience with Go or similar programming language
Experience delivering high-quality software through a principled, “design document-first” approach
Experience with building extensible and maintainable APIs
Experience with scalable distributed systems
Knowledge of OpenShift or Kubernetes; experience with policies, Helm charts and admission controllers
Experience working in a collaborative environment with different stakeholders and subject matter experts
The salary range for this position is $148,540.00 - $245,050.00. Actual offer will be based on your qualifications.
Pay Transparency
● Comprehensive medical, dental, and vision coverage
● Flexible Spending Account - healthcare and dependent care
● Health Savings Account - high deductible medical plan
● Retirement 401(k) with employer match
● Paid time off and holidays
● Paid parental leave plans for all new parents
● Leave benefits including disability, paid family medical leave, and paid military leave
These jobs might be a good fit
Red hat Senior Software Engineer United States, Massachusetts, Boston
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Job Summary
The Red Hat Ansible Engineering team is seeking a Senior Software Engineer to join us. In this role, you will work as part of a team focused on maintaining, developing, and improving the components of the Ansible Automation Product ecosystem. From capturing requirements, to refining those, aligning with our architects teams on implementation, to deliver on them, you will be on the critical path to delivering impactful new features to our customer base.
What you will do:
Design, implement and maintain production grade software deployed at scale
Contribute to Red Hat strategy’s implementation of mission-critical automation
Help Red Hat Automation Platform maintain its de-facto industry standard automation platform reference
Solve complex problems in the network and infrastructure space; including but not limited to authentication, authorization, performance, distributed systems
What you will bring:
Passion for automation and an excitement to automate all the things
3+ years of experience with a modern programming language, such as python or go
Experience with Containers, Kubernetes, Cloud providers, and REST APIs principles
Experience with industry-standard authentication and authorization protocols
Strong knowledge of infrastructure systems and networks; experience with distributed systems
Strong systems design , analysis and architecture skills
Proven track record of architecting complex features in a multi-component environment
Experience With The Following Is Considered a Plus
Demonstrated knowledge of Red Hat Enterprise Linux (RHEL), including administration and management
Familiarity with ansible and its ecosystem catalog
Demonstrated history of open-source projects contributions
Previous experience leading development of new product functionality from story discovery through to implementation, testing, and deployment.
The salary range for this position is $116,270.00 - $191,840.00. Actual offer will be based on your qualifications.
Pay Transparency
● Comprehensive medical, dental, and vision coverage
● Flexible Spending Account - healthcare and dependent care
● Health Savings Account - high deductible medical plan
● Retirement 401(k) with employer match
● Paid time off and holidays
● Paid parental leave plans for all new parents
● Leave benefits including disability, paid family medical leave, and paid military leave
These jobs might be a good fit
Red hat Senior Software Engineer- Adobe Experience Manager United States, North Carolina, Raleigh
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Job Summary
In this role, you will work closely with technical writers, content strategists, and other stakeholders to ensure a seamless and powerful content authoring and publishing experience for our users.
What you'll do
Develop and customize AEM Guides components, templates, and workflows to meet specific documentation and publishing requirements.
Design and implement DITA-OT plugins, specific schematron rules, specific post-processing pipelines in AEM.
Configure and maintain the AEM publishing pipelines using DITA-OT for various output formats (PDF and HTML5) and optimize content in the Java Content Repository (JCR).
Implement and manage content standards and a structured authoring environment, focusing on reuse, metadata, and file structure to improve content consistency across teams.
Integrate AEM Guides with other internal systems and part of the Adobe stack with various APIs and web services.
Configure and maintain AEM instances, including dispatcher configurations, user permissions, OSGi services, and system maintenance.
Develop and implement strategic plans for the content platform that align with the larger Red Hat content vision and roadmap.
Troubleshoot, debug, and optimize AEM performance and resolve technical issues related to content implementation and delivery.
Document technical specifications, architecture, and development processes for knowledge sharing and future reference.
What you'll bring
Proven experience as an AEM Developer, including custom component development and integration
Expertise in AEM architecture and building blocks, including Sling Models, OSGi bundles, custom workflows, templates, and components.
Familiarity with converting structured, topic-based source (in formats such as DITA/XML or AsciiDoc) to HTML and experience applying content architecture concepts like content reuse, metadata, single sourcing content, applying conditional values, and information architecture in a CMS.
Knowledge of creating custom DITA-OT plugins and deploying them in the AEM Guides environment is preferred but not required.
Advanced research and analytical skills for complex problem-solving and troubleshooting cross-functional issues.
Ability to develop and implement strategic technical plans that fit into a larger content vision and roadmap.
Experience with development tools such as Maven, Git, JIRA, Slack, and experience in operating in an Agile/Scrum methodology.
Excellent written and verbal communication skills, with the ability to effectively convey technical concepts to both technical and non-technical stakeholders.
Experience working in a complex, cross-functional technology organization.
Ability to manage multiple assignments at once and good project management skills.
The salary range for this position is $116,270.00 - $191,840.00. Actual offer will be based on your qualifications.
Pay Transparency
● Comprehensive medical, dental, and vision coverage
● Flexible Spending Account - healthcare and dependent care
● Health Savings Account - high deductible medical plan
● Retirement 401(k) with employer match
● Paid time off and holidays
● Paid parental leave plans for all new parents
● Leave benefits including disability, paid family medical leave, and paid military leave
These jobs might be a good fit
Red hat Senior Performance Resilience Engineer - LLM Inference United States, Colorado, Denver
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What you will do:
Win the confidence of our customers through the successful delivery of discovery, analysis and design workshops that shape and influence the customer’s architecture design decisions to align with the Red Hat solution.
Lead consulting teams through successful customer pilot and production deployments, workload onboarding and ongoing lifecycle management
Work closely with product business units, product engineering, consulting, support, and sales to ensure a world-class customer experience with Red Hat’s products.
Contribute to the development of repeatable methodologies and tools designed to scale Red Hat’s services capabilities, promote repeatable customer engagements, and lower delivery risk.
What you will bring:
Prior experience working in a consulting and architecture roles
Good customer-facing skills; ability to present to customers and lead customer interactions
Excellent knowledge of modern telco networks and protocols and their implementation in software based solutions at the architecture and hands-on delivery levels
Experience designing and delivering cloud and automation technology for telco network platforms via distributed cross-functional teams and with telco-wide deployments
Knowledge of Red Hat’s infrastructure solutions like Red Hat OpenShift Container Platform, Red Hat OpenStack Platform, Red Hat Enterprise Linux (RHEL)
Excellent written and verbal language skills in French and English
Willingness to travel across the region
Red Hat Certifications are considered a plus
These jobs might be a good fit
Red hat Senior Performance Resilience Engineer - LLM Inference United States, Illinois, Springfield
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What you will do:
Own the resilience testing roadmap for vLLM and llm-d: define resilience indicators, prioritize fault scenarios, and establish go/no-go gates for releases and CI/CD
Design GPU/accelerator-aware fault experiments that target vLLM and the stack beneath it (drivers, GPU Operator/DevicePlugin, NCCL/collectives, storage/network paths, NUMA/topology)
Build an automated harness (preferably extending krkn-chaos (https://github.com/krkn-chaos/krkn) ) to run controlled experiments with scoped blast radius, and evidence capture (logs, traces, metrics)
Integrate fault signals into pipelines (GitHub Actions or otherwise) as resilience gates alongside performance gates
Develop detection and diagnostics: dashboards and alerts for pre-fault signals (e.g., vLLM queue depth, GPU throttling, P2P downgrades, KV-cache pressure, allocator fragmentation)
Triage and root-cause resilience regressions from field/customer issues; upstream bugs and fixes to vLLM and llm-d
Explore and experiment with emerging AI technologies relevant to software development and testing, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling.
Publish learnings (internal/external): failure patterns, playbooks, SLO templates, experiment libraries, and reference architectures; present at internal/external forums
What you will bring:
3+ years in reliability, and/or performance engineering on large-scale distributed systems
Expertise in systems‑level software design
Expertise with Kubernetes and modern LLM inference server stack (e.g., vLLM, TensorRT-LLM, TGI)
Observability & forensics skills with experience with Prometheus/Grafana, OpenTelemetry tracing, eBPF/BPFTrace/perf, Nsight Systems, PyTorch Profiler; adept at converting raw signals into actionable narratives.
Fluency in Python (data & ML), strong Bash/Linux skills
Exceptional communication skills - able to translate raw data into customer value and executive narratives
Commitment to open‑source values and upstream collaboration
The following is considered a plus:
Master’s or PhD in Computer Science, AI, or a related field
History of upstream contributions and community leadership, public talks or blogs on resilience, or chaos engineering
Competitive benchmarking and failure characterization at scale.
The salary range for this position is $127,890.00 - $211,180.00. Actual offer will be based on your qualifications.
Pay Transparency
● Comprehensive medical, dental, and vision coverage
● Flexible Spending Account - healthcare and dependent care
● Health Savings Account - high deductible medical plan
● Retirement 401(k) with employer match
● Paid time off and holidays
● Paid parental leave plans for all new parents
● Leave benefits including disability, paid family medical leave, and paid military leave
These jobs might be a good fit
Red hat Context Engineer / Prompt Engineer- AI Testing United States, North Carolina, Raleigh
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What you will do:
Win the confidence of our customers through the successful delivery of discovery, analysis and design workshops that shape and influence the customer’s architecture design decisions to align with the Red Hat solution.
Lead consulting teams through successful customer pilot and production deployments, workload onboarding and ongoing lifecycle management
Work closely with product business units, product engineering, consulting, support, and sales to ensure a world-class customer experience with Red Hat’s products.
Contribute to the development of repeatable methodologies and tools designed to scale Red Hat’s services capabilities, promote repeatable customer engagements, and lower delivery risk.
What you will bring:
Prior experience working in a consulting and architecture roles
Good customer-facing skills; ability to present to customers and lead customer interactions
Excellent knowledge of modern telco networks and protocols and their implementation in software based solutions at the architecture and hands-on delivery levels
Experience designing and delivering cloud and automation technology for telco network platforms via distributed cross-functional teams and with telco-wide deployments
Knowledge of Red Hat’s infrastructure solutions like Red Hat OpenShift Container Platform, Red Hat OpenStack Platform, Red Hat Enterprise Linux (RHEL)
Excellent written and verbal language skills in French and English
Willingness to travel across the region
Red Hat Certifications are considered a plus
These jobs might be a good fit
Red hat Senior Performance Resilience Engineer - LLM Inference United States, District of Columbia, Washington
Share
What you will do:
Own the resilience testing roadmap for vLLM and llm-d: define resilience indicators, prioritize fault scenarios, and establish go/no-go gates for releases and CI/CD
Design GPU/accelerator-aware fault experiments that target vLLM and the stack beneath it (drivers, GPU Operator/DevicePlugin, NCCL/collectives, storage/network paths, NUMA/topology)
Build an automated harness (preferably extending krkn-chaos (https://github.com/krkn-chaos/krkn) ) to run controlled experiments with scoped blast radius, and evidence capture (logs, traces, metrics)
Integrate fault signals into pipelines (GitHub Actions or otherwise) as resilience gates alongside performance gates
Develop detection and diagnostics: dashboards and alerts for pre-fault signals (e.g., vLLM queue depth, GPU throttling, P2P downgrades, KV-cache pressure, allocator fragmentation)
Triage and root-cause resilience regressions from field/customer issues; upstream bugs and fixes to vLLM and llm-d
Explore and experiment with emerging AI technologies relevant to software development and testing, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling.
Publish learnings (internal/external): failure patterns, playbooks, SLO templates, experiment libraries, and reference architectures; present at internal/external forums
What you will bring:
3+ years in reliability, and/or performance engineering on large-scale distributed systems
Expertise in systems‑level software design
Expertise with Kubernetes and modern LLM inference server stack (e.g., vLLM, TensorRT-LLM, TGI)
Observability & forensics skills with experience with Prometheus/Grafana, OpenTelemetry tracing, eBPF/BPFTrace/perf, Nsight Systems, PyTorch Profiler; adept at converting raw signals into actionable narratives.
Fluency in Python (data & ML), strong Bash/Linux skills
Exceptional communication skills - able to translate raw data into customer value and executive narratives
Commitment to open‑source values and upstream collaboration
The following is considered a plus:
Master’s or PhD in Computer Science, AI, or a related field
History of upstream contributions and community leadership, public talks or blogs on resilience, or chaos engineering
Competitive benchmarking and failure characterization at scale.
The salary range for this position is $127,890.00 - $211,180.00. Actual offer will be based on your qualifications.
Pay Transparency
● Comprehensive medical, dental, and vision coverage
● Flexible Spending Account - healthcare and dependent care
● Health Savings Account - high deductible medical plan
● Retirement 401(k) with employer match
● Paid time off and holidays
● Paid parental leave plans for all new parents
● Leave benefits including disability, paid family medical leave, and paid military leave
These jobs might be a good fit
Share
What You Will Do
Design, build, maintain, and test core backend services and APIs for the the Red Hat Advanced Cluster Security (RHACS) platform
Work across our product, focusing on efficient data collection, event processing and ingestion, storage and persistence, as well as APIs and presentation
Collaborate with other engineers, product managers, and product designers to shape, build, and improve new and existing features
Own core areas of the product, lead their design, and be responsible for their quality and health
Assist our Customer Support team in troubleshooting and resolving customer issues
Improve engineering standards, tooling, and processes
Have the opportunity to build a personal brand and strengthen the company brand through technical blog posts and open-source contributions
What You Will Bring
Experience writing high-quality, maintainable software
Openness to learning new technologies, programming languages, and concepts
Experience with Go or similar programming language
Experience delivering high-quality software through a principled, “design document-first” approach
Experience with building extensible and maintainable APIs
Experience with scalable distributed systems
Knowledge of OpenShift or Kubernetes; experience with policies, Helm charts and admission controllers
Experience working in a collaborative environment with different stakeholders and subject matter experts
The salary range for this position is $148,540.00 - $245,050.00. Actual offer will be based on your qualifications.
Pay Transparency
● Comprehensive medical, dental, and vision coverage
● Flexible Spending Account - healthcare and dependent care
● Health Savings Account - high deductible medical plan
● Retirement 401(k) with employer match
● Paid time off and holidays
● Paid parental leave plans for all new parents
● Leave benefits including disability, paid family medical leave, and paid military leave
These jobs might be a good fit
