Design, build, automate, scale, and operate large-scale production OpenStack clouds. Responsibilities include OpenStack service architecture, Nova compute tuning, Neutron/SDN integrations, Ceph storage performance tuning, HA control plane design, multi-region replication, and automation using Ansible and Terraform. Troubleshoot messaging, hypervisor, and storage layers and support bare-metal-to-cloud deployments.
This is a remote position.
About the Role
We are seeking a deeply technical Senior OpenStack Engineer to design, build, automate, scale, and operate large-scale production OpenStack environments powering enterprise private clouds, MSP platforms, and high-performance digital twin lab infrastructures.
This is not a UI-driven admin role. We are looking for engineers who understand OpenStack at the service, database, messaging, hypervisor, and packet-flow layers — individuals who can troubleshoot RabbitMQ queues, debug Neutron agents, tune Ceph latency, and automate full cloud deployments from bare metal upward.
You will work on multi-region architectures, high-availability designs, NVMe storage fabrics, SDN integrations, and hybrid cloud platforms supporting global customers.
Primary Responsibilities
1. OpenStack Architecture & Platform Engineering
- Design production-grade OpenStack environments across controller, compute, and storage nodes.
- Architect HA control planes using HAProxy, Keepalived, Galera, and RabbitMQ clustering.
- Build scalable cell-based Nova architectures.
- Implement multi-region replication strategies.
- Perform platform capacity modeling and growth forecasting.
2. Compute Virtualization (Nova)
- Nova scheduler tuning and filters.
- CPU pinning and isolation.
- NUMA topology alignment.
- HugePages configuration.
- Live migrations and evacuations.
- GPU passthrough and SR-IOV provisioning.
Hypervisor stack includes KVM, QEMU, Libvirt, and VirtIO.
3. Networking & SDN (Neutron)
- ML2 plugin architecture.
- OVS, OVN, Linux Bridge deployments.
- VXLAN, Geneve, VLAN overlays.
- DVR and L3 routing.
- Floating IP NAT design.
- SR-IOV and DPDK acceleration.
- Integration with BGP EVPN, MPLS, VRFs, and SD-WAN.
4. Storage Engineering
Ceph (Primary Requirement)
- RBD block storage.
- CephFS and RGW object storage.
- CRUSH map tuning.
- Placement group optimization.
- BlueStore performance tuning.
- NVMe and SSD tiering.
Additional exposure to Linstor, DRBD, iSCSI, and NVMe-oF preferred.
5. Image & Lifecycle Services
- Glance image pipelines.
- QCOW2 optimization.
- Cloud-init automation.
- Golden image lifecycle management.
6. Identity & Access (Keystone)
- RBAC modeling.
- LDAP/AD integration.
- SAML/SSO federation.
- Token lifecycle management.
We are seeking a deeply technical Senior OpenStack Engineer to design, build, automate, scale, and operate large-scale production OpenStack environments powering enterprise private clouds, MSP platforms, and high-performance digital twin lab infrastructures.
This is not a UI-driven admin role. We are looking for engineers who understand OpenStack at the service, database, messaging, hypervisor, and packet-flow layers — individuals who can troubleshoot RabbitMQ queues, debug Neutron agents, tune Ceph latency, and automate full cloud deployments from bare metal upward.
You will work on multi-region architectures, high-availability designs, NVMe storage fabrics, SDN integrations, and hybrid cloud platforms supporting global customers.
Primary Responsibilities
1. OpenStack Architecture & Platform Engineering
- Design production-grade OpenStack environments across controller, compute, and storage nodes.
- Architect HA control planes using HAProxy, Keepalived, Galera, and RabbitMQ clustering.
- Build scalable cell-based Nova architectures.
- Implement multi-region replication strategies.
- Perform platform capacity modeling and growth forecasting.
2. Compute Virtualization (Nova)
- Nova scheduler tuning and filters.
- CPU pinning and isolation.
- NUMA topology alignment.
- HugePages configuration.
- Live migrations and evacuations.
- GPU passthrough and SR-IOV provisioning.
Hypervisor stack includes KVM, QEMU, Libvirt, and VirtIO.
3. Networking & SDN (Neutron)
- ML2 plugin architecture.
- OVS, OVN, Linux Bridge deployments.
- VXLAN, Geneve, VLAN overlays.
- DVR and L3 routing.
- Floating IP NAT design.
- SR-IOV and DPDK acceleration.
- Integration with BGP EVPN, MPLS, VRFs, and SD-WAN.
4. Storage Engineering
Ceph (Primary Requirement)
- RBD block storage.
- CephFS and RGW object storage.
- CRUSH map tuning.
- Placement group optimization.
- BlueStore performance tuning.
- NVMe and SSD tiering.
Additional exposure to Linstor, DRBD, iSCSI, and NVMe-oF preferred.
5. Image & Lifecycle Services
- Glance image pipelines.
- QCOW2 optimization.
- Cloud-init automation.
- Golden image lifecycle management.
6. Identity & Access (Keystone)
- RBAC modeling.
- LDAP/AD integration.
- SAML/SSO federation.
- Token lifecycle management.
7. Orchestration & Automation
- Heat orchestration templates.
- Terraform automation.
- Ansible playbooks.
- Heat orchestration templates.
- Terraform automation.
- Ansible playbooks.
Similar Jobs
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound insurance sales leads, consult customers to recommend Property & Casualty coverage, close sales, complete paid licensing and training, and meet shift and WFH requirements while working remotely with provided equipment.
Top Skills:
Dsl)FiberPcWired High-Speed Internet (Cable
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Drive land-and-expand enterprise sales across a named territory, managing 7–10 existing accounts and 5–8 prospects. Own territory plans, win new logos, expand usage, execute product demos and in-market initiatives, engage VP/C-level stakeholders, coordinate with sales engineering and cross-functional teams, and ensure successful customer implementations to meet quota and growth targets.
Top Skills:
AWSAzureDynatraceDynatrace IntelligenceGCPObservability
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Identify and qualify sales opportunities for Dynatrace APM by outbound prospecting, researching accounts, calling senior IT leaders at Fortune 1000 companies, educating prospects on solutions, tracking activity in Salesforce, supporting marketing programs, and meeting defined metrics and territory forecast goals.
Top Skills:
AWSDynatraceDynatrace IntelligenceGoogleGCPJigsawLinkedInMicrosoftSalesforce
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories


