As an Senior Named Account Executive, you'll be responsible for developing and executing against a comprehensive account/territory plan as well as driving sales in a defined territory and/or account list to achieve revenue targets.

Additional responsibilities will include:

• Manage contract negotiations
• Maintain a robust sales pipeline
• Develop long-term strategic relationships with key accounts
• Ensure customer satisfaction

Examples of desirable skills, knowledge, and experience include:

• A minimum 6 years of direct B2B experience selling security or networking products/solutions (cyber security, IaaS, PaaS, etc)
• A minimum 3 years selling to large enterprise accounts in Canada, specifically in the Toronto, Montreal or Vancouver markets
• Experience managing longer, complex sales cycles
• Deep understanding of computer networking and “how the internet works”
• Aptitude for learning technical concepts/terms (technical background in network engineering or computer science is a plus)
• Strong interpersonal communication (verbal and written) and organizational skills
• Bilingual (French/English)
• Self-motivated; entrepreneurial spirit
• Comfortable working in a fast-paced dynamic environment

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Underlying all deployments - whether it be aircraft or ground systems, Anduril products or those integrated, combat zones or close to home - is a diverse array of networking infrastructure connecting assets to one another and their operators. Data link topologies traverse infinite permutations of medium including fiber, MANET, military SATCOM, commercial LEO satellite internet, microwave backhaul, and commercial and private 3G/4G/5G cell networks.

The Connectivity team is responsible for performing technical due diligence with customers (both internal and external) to ensure that the correct network architecture is selected for a given mission, assisting with sourcing of the appropriate hardware and subsequent implementation, and supporting the sustainment of production data links using their subject matter expertise.

Key responsibilities include:

• Working with Anduril's customers and their networking engineers to architect connectivity solutions
• Calculating RF link budgets, assessing risk of lost links and commensurate fallback solutions, and presenting such findings to operations and engineering teams
• Designing and maintaining complex network laydowns for ground-based air defense systems, force protection sensor suites, UAVs, and space systems
• Sourcing, evaluating, and maintaining networking equipment and services
• Overseeing network implementation and execution during demonstration events and production site bring-ups

Required qualifications include:

• 2+ years of experience in RF or network engineering with understanding of Layer 3 network design
• Experience with externally-facing technical communication
• Ability to travel up to 15% of the time
• Eligible to obtain and maintain a U.S. Secret security clearance

Preferred qualifications include:

• Strong aptitude for problem solving in unstructured situations at the interface of hardware, software, and networking. Ability to drive challenging and vague technical problems to clarity and resolution
• Naturally inquisitive, able to independently research and learn new technical components or concepts
• Experience generating link budgets
• Familiarity with DoD-managed network enclaves (NIPR, SIPR, etc.)
• Experience with mesh networking and/or MANETs
• Familiarity with NSA Type 1 encryption or FIPS compliance
• Experience in InfoSec or computer security

US Salary Range: $113,000-$149,000 USD

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As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

Responsibilities

• Define, establish, and lead the infrastructure integration engineering practice, setting the technical vision and strategy for integrating new entities and technologies.
• Single-threaded ownership of all infrastructure component(s) of acquisition integration from discovery and due diligence through migration execution and hypercare.
• Conduct comprehensive technical assessments of target companies' infrastructure, systems, and operational capabilities, identifying risks and opportunities.
• Develop and present high-level architectural strategies and detailed roadmaps for integrations to executive leadership, founders, and technical teams.
• Design and implement robust, scalable, and secure system architectures for integrated environments, ensuring alignment with Anduril's overall technology strategy.
• Develop and execute detailed migration plans, managing complex technical challenges and dependencies.
• Provide post-migration hypercare support, ensuring a smooth transition and stabilization of integrated systems.
• Define, document, and continuously improve repeatable processes to accelerate acquisition integration, establishing benchmarks, conducting post-mortems, and implementing lessons learned.
• Identify, evaluate, and implement or scope the development of new tools and technologies to enhance discovery, migration, and testing efficiency.
• Collaborate closely with Security teams to ensure all integrated systems meet Anduril's stringent security requirements and policies.
• Partner with Client Engineering teams to ensure seamless integration of acquired client and client-facing technologies and services.
• Provide clear, concise, and opinionated technical guidance, and proactively push back on misaligned proposals to ensure successful technical outcomes.
• Act as a technical authority, mentor, and trusted advisor to engineering teams involved in integration efforts.

Requirements

• Minimum of 12 years of progressive experience in Systems Engineering, Network Engineering, and/or IT Infrastructure roles with a focus on complex, enterprise-scale environments.
• Self-sufficient ability to execute in (technical and non-technical) program management, architecture, and hands-on engineering capacities.
• Demonstrated expertise in defining and building engineering practices and repeatable processes.
• Proven ability to operate across the entire engineering lifecycle, from strategic discovery and architecture to hands-on execution and hypercare.
• Exceptional ability to communicate complex technical concepts to diverse audiences, including C-suite executives, founders, and engineering teams.
• Deep understanding of modern cloud architectures (AWS, Azure, GCP), hybrid cloud solutions, and on-premises infrastructure.
• Extensive experience with enterprise networking technologies, including routing, switching, firewalls, VPNs, and load balancing.
• Strong knowledge of server virtualization, containerization technologies (e.g., Docker, Kubernetes), and operating systems (Linux, Windows).
• Experience with identity and access management (IAM) solutions, single sign-on (SSO), and multi-factor authentication (MFA).
• Proficiency in scripting and automation for infrastructure deployment and management (e.g., Python, Ansible, Terraform).
• Strong understanding of security principles, best practices, and common vulnerabilities within systems and networks.
• Familiarity with client engineering principles and technologies.
• Proven experience in identifying tooling gaps and either developing solutions or effectively scoping them for development.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to travel for remote deployments and assessments as required.

Preferred Qualifications

• Experience with infrastructure-as-code (IaC) principles and tools.
• Familiarity with CI/CD pipelines and DevOps methodologies.
• Experience with data center design and operations.
• Experience in the defense technology or highly regulated industries.

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The company's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a real-time, 3D command and control centre.

As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion and networking technology to the military in months, not years.

We are seeking a mission-driven Cloud Infrastructure Engineer to take a leading role in designing and implementing world-class defensive controls. This is a high-impact role with the autonomy to shape security architecture and protect the technology that is changing the future of defence.

Key Responsibilities:

• Design and Own Security Architecture: Architect, build and deploy robust, scalable security controls for our corporate, development and production cloud environments (AWS, Azure, GCP).

• Automate Everything: Develop and automate infrastructure-as-code (IaC) to manage and scale our cloud deployments securely and efficiently.

• Proactively Defend: Continuously monitor, identify and remediate security weaknesses and configuration drift across our entire cloud footprint.

• Be a Force Multiplier: Partner with infrastructure, application and product teams to embed security best practices into their workflows and secure environments holding mission-critical data.

• Enable Scale and Reliability: Engineer systems and processes that ensure our platforms are highly available, resilient and prepared for rapid growth.

• Serve as a Cloud Security Expert: Act as the go-to subject matter expert for teams across Anduril, providing guidance, mentorship and paved-road solutions for building securely in the cloud.

Requirements:

• Proven experience building and securing complex cloud environments, typically gained through 3+ years in a Cloud Security, DevOps or SRE role.

• Deep proficiency in at least one major cloud provider (AWS, Azure or GCP).

• Strong hands-on experience with Infrastructure as Code (e.g., Terraform, CloudFormation, Bicep).

• Solid programming/scripting ability in one or more languages (e.g., Python, Go, Rust).

• Firm understanding of public cloud networking principles (e.g., VPCs, subnets, routing, security groups).

• Must be a U.S. Person and eligible to obtain and maintain a U.S. Top Secret security clearance.

Preferred Qualifications:

• Experience hardening and monitoring Kubernetes clusters (EKS, GKE, AKS).

• Experience with cloud security posture management (CSPM) or threat detection tooling.

• Familiarity with CI/CD pipelines and securing the software supply chain.

• Knowledge of compliance frameworks such as FedRAMP, MRL, SOC 2 or CMMC.

• On-premises network engineering experience.

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You will drive cross-team projects and programs from inception to completion, prioritising and balancing competing organisational needs. You will define the roadmap for infrastructure, security, and software support of our classified programs and systems.

You will identify and develop new internal processes and strategies to improve cross-functional team alignment. You will lead a high-performing and senior team that spans across Classified IT, Cyber Assurance, DevOps, and Network Engineering.

You will proactively communicate the organisation's goals and updates consistently and effectively with leadership. You will manage a sizable budget, drive procurement processes, and oversee vendor relationships, acting as a primary point of contact for significant build-out projects or new facility requirements.

Required qualifications include a Bachelor's degree in Computer Science or a related field, 15+ years of experience leading complex technical programs in fast-moving, unstructured, or startup environments, and proven experience managing IT infrastructure projects involving classified networks and programs.

You will be a true generalist and systems thinker, with exceptional communication and interpersonal skills with both technical and non-technical stakeholders. You will be able to navigate ambiguity, resolve user issues, and work autonomously to solve problems.

You will be a forever learner and intellectually curious, with a low ego and a willingness to make things happen behind the scenes and make your team shine.

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We're looking for a network engineer who thinks in metrics first. You will use deep networking knowledge and rigorous measurement to figure out where and how bandwidth, latency, and dollars are being used, find optimization opportunities and land them.

Responsibilities

• Build the network observability stack. Design and deploy telemetry pipelines , sFlow/IPFIX, gNMI streaming, eBPF host probes , that turn packet counters into per-flow, per-tenant, per-workload cost and utilization data. Own the SLIs for backbone and DCN fabric health.
• Hunt for efficiency. Analyze inter-region traffic patterns, identify hot links and stranded capacity, and quantify the dollar impact. Build the models that tell us whether we should buy more capacity, or move the workload.
• Own QoS and traffic engineering. Design and operate traffic classification, marking, and shaping across the backbone. Make sure bulk checkpoint transfers don’t starve latency-sensitive inference, and that we’re not paying premium cross-region rates for traffic that could take the cheap path.
• Drive cost attribution. Tie network spend , egress, interconnect ports, transit, optical leases , back to the teams and workloads that generate it. Make network cost a first-class input to capacity planning and workload placement decisions.
• Influence decisions you don't own. A large fraction of this role is convincing other teams to act on what your data shows: making the case to research that a traffic pattern needs to change, to finance that an interconnect tranche is worth buying, to Systems Networking that a QoS policy needs rewriting.

Requirements

• Have 5+ years operating large-scale production networks , data center fabrics (spine-leaf, Clos), backbone/WAN, or hyperscaler-adjacent environments.
• Are genuinely fluent across the stack: BGP (including policy and communities), ECMP, VXLAN/EVPN or equivalent overlays, QoS (DSCP, queuing, shaping), and L1/optical basics (DWDM, coherent, LAGs).
• Know at least one major CSP’s networking model deeply , AWS (VPC, TGW, Direct Connect, Gateway Load Balancer) or GCP (Shared VPC, Interconnect, Cloud Router, Network Connectivity Center) , and understand how their overlays interact with physical underlays.
• Have built or operated network telemetry at scale: streaming telemetry (gNMI/OpenConfig), flow export (sFlow, IPFIX, NetFlow), or eBPF-based host-side instrumentation. You can reason about sampling, cardinality, and storage tradeoffs.
• Comfortable writing Python or Go to build tooling, telemetry pipelines, infrastructure-as-code, config management for network devices and automation, that you’ll ship to production.
• Think quantitatively by default. You reach for a notebook or a Grafana query before you reach for an opinion, and you can turn messy counter data into a defensible cost model.
• Communicate crisply. You can explain to a finance partner why a 10% egress reduction matters, and to a network engineer why a specific ECMP imbalance is costing real money.

Nice to Have

• SRE experience for large-scale network infrastructure , designing for reliability, defining SLOs/SLIs for network services, capacity planning with error budgets, and incident response for network-impacting outages at scale.
• Background on a cloud provider's networking team or a cloud networking product team , building or operating the interconnect, backbone, or SDN control plane from the provider side, not just consuming it as a customer.
• Familiarity with AI/ML infrastructure traffic patterns like collective communication (all-reduce, all-gather), checkpoint/weight transfer, inference serving, and how these stress networks differ than traditional workloads in terms of burst behavior, flow synchronization, and bandwidth symmetry.
• Experience with HPC fabrics like InfiniBand, RoCE v2, lossless Ethernet, or custom high-radix topologies and an understanding of how job placement, congestion management, and adaptive routing interact at scale.
• Background in traffic engineering for large backbones and the operational judgment to know when TE is worth the complexity.
• Hands-on time with multi-cloud connectivity: cross-cloud peering, private interconnect products, and the billing models that come with them.
• Experience building cost/chargeback systems for shared infrastructure, or FinOps exposure in a large cloud environment.

Representative Projects

• Build a per-flow cost attribution pipeline that traces every byte of cross-region egress back to the team and workload that generated it
• Design QoS policy for the private backbone that prevents bulk checkpoint transfers from starving inference traffic
• Model whether it's cheaper to buy an additional 1.6Tb interconnect tranche or to re-route traffic through existing capacity
• Instrument DCN fabric utilization with streaming telemetry and build the Grafana dashboards that become the team's source of truth for network observability

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The ideal candidate will have hands-on experience with enterprise network technologies, automation tools, and a background in managing secure network solutions. They will report to the Director, IT, and will be a Hybrid role.

We offer a competitive salary range of $156,750 - $200,025, eligibility to receive equity, cash bonuses, and a full range of medical, financial, and other benefits. Please note that individual total compensation for this position will be determined at the Company's sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education.

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Your responsibilities will include designing, configuring, deploying, monitoring, and troubleshooting production network infrastructure and associated services, including LAN, WAN, Data Center, remote access, wireless, and firewall security. You will develop and maintain comprehensive documentation for network configurations, processes, security policies, and procedures.

You will define and lead networking strategy aligned with business growth, automation goals, and scalable AI infrastructure. You will implement automation tools and AI-driven solutions to optimize network operations and reduce manual intervention. You will utilize automation tools to standardize deployment configurations and environments for consistency and efficiency.

You will identify and resolve issues related to network and security infrastructure performance, efficiency, and availability. You will communicate effectively with stakeholders at all levels, translating complex technical topics into accessible insights.

As a Sr. Staff Network Engineer, you will enable secure, scalable, and highly available network infrastructure supporting Synopsys' global business operations. You will drive innovation through the adoption of automation and AI, enhancing network efficiency and reducing manual overhead. You will champion best practices and standards that elevate network reliability, security, and performance.

You will mentor and empower team members, fostering a culture of learning, collaboration, and technical excellence. You will contribute to strategic initiatives that align networking capabilities with company growth and emerging technologies. You will enhance stakeholder engagement through clear communication and the delivery of impactful solutions.

You will influence the direction of Synopsys' network architecture, ensuring it remains at the forefront of industry advancements.

To be successful in this role, you will need:

• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field
• 8+ years of experience in network engineering, with several years in senior staff or architecture-oriented roles
• Expertise in designing and supporting large-scale enterprise networks
• Deep understanding of network security systems and protocols (IPSec, IKE, GRE, TACACS, RADIUS, 802.1x, NAC, EAP-TLS)
• Expert-level knowledge of networking fundamentals: TCP/IP, switching/routing, BGP, OSPF, DMVPN, EVPN/VXLAN, SD-WAN, MPLS
• Proficiency in wireless standards and technologies: 802.11a/b/g/n/ac/ax, MIMO, beamforming, channel planning
• Experience with network configuration management and automation tools (Python, Ansible, OpenStack, Terraform, REST API)
• Extensive hands-on experience with Cisco, Aruba, Zscaler, Palo Alto Networks equipment and platforms
• Ability to analyze raw packet data to uncover network performance issues (latency, packet loss, application errors)
• Ability to work after hours for project and maintenance needs
• Program management skills to align cross-functional teams and drive results
• Understanding of AI, machine learning, LLMs, MCP technologies
• Relevant certifications (PCNSE, ZIA/ZPA, CCNP, CCDP, CCIE, CISSP, CCDE, CEH, Security+ or equivalent experience) are a plus

As a Sr. Staff Network Engineer, you will be a forward-thinking and innovative individual, always seeking to improve and streamline processes. You will be a collaborative leader and mentor, passionate about empowering others and sharing expertise. You will be an excellent communicator, able to bridge technical and non-technical audiences. You will be adaptable and resilient, thriving in dynamic environments. You will be strategic and detail-oriented, balancing big-picture vision with hands-on execution. You will be committed to integrity, excellence, leadership, and passion,core Synopsys values.

You will join a dynamic global network engineering team responsible for designing and supporting all network services,including LAN, WAN, Data Center, remote access, wireless, and firewall security. This collaborative group is focused on delivering secure, scalable, and resilient network solutions, embracing automation and AI to drive continuous improvement. As a mentor and leader, you will help shape a culture of innovation and learning within the team.

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

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Remote - US

Employment Type

Full time

Location Type

Remote

Department

Scaling

Compensation

• $125.6K – $228K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

OpenAI, in close collaboration with our capital partners, is building the world’s most advanced AI infrastructure ecosystem. This team defines and executes our core infrastructure strategy. From site selection through full buildout, we sit at the intersection of commercial, technical, strategy, and operations, partnering closely with internal teams and external stakeholders.

About the Role

We are seeking a Datacenter NetDeploy Lead to own the end-to-end execution of physical network deployments in data center environments. This role bridges Network Engineering, Capacity Delivery/Construction, Data Center Engineering, and Operations to ensure network infrastructure is installed, validated, and formally handed over in a production-ready state. The NetDeploy Lead is accountable for vendor execution, schedule delivery, quality standards, and in-field issue resolution, while maintaining strict alignment to documented standards, ticketing, cleanliness, and escalation protocols.

Key Responsibilities

• Lead full lifecycle physical network deployments for new builds, expansions, and refreshes.

• Translate network topologies, cabling designs, and BOMs into executable field plans and sequencing.

• Oversee and/or coordinate rack-and-stack of network equipment (switches, OOB, ancillary network systems).

• Oversee and/or coordinate fiber trunk pulls, routing, and termination to patch panels / equipment.

• Oversee and/or coordinate patch panel installation, patching, labeling, and cable management.

• Drive port-to-port verification, continuity testing, and validation sign-off.

• Ensure work follows documented standards and runbooks (tables, tickets, checklists, cleanliness, escalation).

• Develop the systems, processes, and tools to enable deployment and maintenance of deployed systems.

• Source, evaluate, and manage vendors across structured cabling, JIT fiber remediation, rack-and-stack/patching teams, and testing/verification support.

• Define scope, develop SOWs, validate pricing, and manage execution to contract terms; track vendor performance against quality, throughput, safety, schedule, and documentation requirements; drive corrective actions when vendors miss standards.

• Partner with Network Engineering to resolve field issues and deployment constraints (wrong switch delivered, substitutions, component failures, damaged gear; installation blockers and design/port mapping discrepancies; sequencing changes to maintain schedule).

• Partner with Data Center Engineering to align deployments to approved physical network infrastructure designs; verify fiber routing diversity and pathway separation; enforce installation standards for routing, labeling, and cable administration; resolve field constraints that would force deviations from design intent.

• Partner with Capacity Delivery / Construction / Facilities to gain site access and coordinate logistics/staging; ensure pathways, trays, penetrations, and build readiness for trunk pulls; align fiber completion to rack/machine placement milestones.

• Partner with Operations for handover: confirm install is complete/validated/documented; ensure as-builts, labeling, port maps, and test evidence are delivered; execute formal ownership transfer so Ops can maintain/operate the network.

• Build and manage deployment schedules, sequencing plans, and milestone tracking; forecast labor needs, vendor ramp, and critical path dependencies.

• Track cost drivers (labor, materials, change orders) and manage contract burn.

• Identify risks early and drive mitigation plans to protect turn-up dates.

• Enforce adherence to deployment standards (labeling, patching, cleanliness, cable management), ticket-driven execution/closure, escalation protocols, change management, and documentation deliverables (as-builts, port maps, test result

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Microsoft AI are looking for a talented Service Engineer II to join their team in Mountain View. This role will involve providing advanced technical support for Microsoft online advertising global sales teams with a primary focus on technically supporting paid search results that appear on Bing and other web properties such as AOL and Yahoo!. The individual that will succeed in this role will have experience in and a passion for customer service and team relationships.

About the Role

As a Service Engineer II, you will perform deep technical investigations to solve complex performance issues for Microsoft Advertising customers and partners. You will act to prevent user, partner and customer quality risk issues through industry awareness, new feature risk analysis, progressive policy influence, pre-launch partner quality reviews, fraud/ DSAT trend identification, platform feature recommendations and business quality advocacy. You will also contribute to product improvements by filing bugs and design change requests, and help developers fix and ship them to production. You will drive root cause analysis and service improvements in close partnership with several Engineering teams.

Accountabilities

• Perform deep technical investigations to solve complex performance issues for Microsoft Advertising customers and partners.
• Act to prevent user, partner and customer quality risk issues through industry awareness, new feature risk analysis, progressive policy influence, pre-launch partner quality reviews, fraud/ DSAT trend identification, platform feature recommendations and business quality advocacy.
• Contribute to product improvements by filing bugs and design change requests, and help developers fix and ship them to production.
• Drive root cause analysis and service improvements in close partnership with several Engineering teams.

The Candidate we're looking for

Experience:

• 2+ years technical experience in software engineering, network engineering, service engineering, systems engineering, or industrial controls.

Technical skills:

• Proficiency in developing tools and automation in C# to improve operational efficiency.

Personal attributes:

• Ability to meet Microsoft, customer and/or government security screening requirements.

Benefits

• Competitive salary range of USD $100,600 - $199,000 per year.
• Comprehensive benefits package including health insurance, retirement plan, and paid time off.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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What you'll do

As a Sr. Network Architect, you will lead the design and implementation of scalable, high-performance network architectures integrating both data center and cloud environments to support evolving business needs. You will develop and influence strategy and standards for data center engineering, setting technology direction across hybrid environments.

• Lead the design and implementation of scalable, high-performance network architectures integrating both data center and cloud environments to support evolving business needs.
• Develop and influence strategy and standards for data center engineering, setting technology direction across hybrid environments.

What you need

• BS in Engineering or related field (MS preferred).
• 10+ years of experience in network engineering/data center infrastructure with significant ownership of large-scale networks.
• Expert-level knowledge of DC and service provider protocols: BGP, MPLS, Segment Routing, EVPN, VXLAN, QoS, and traffic engineering.
• Advanced proficiency with Cisco ACI (Application Centric Infrastructure), including automation via APIC REST, SDK, and Ansible collections.
• Strong experience with network automation (Python, Ansible) and observability tools (gNMI, NetFlow/IPFIX/sFlow, Elastic, Grafana).
• Demonstrated leadership in mentoring teams and managing complex projects from inception to completion.
• Proven program management skills with the ability to align cross-functional teams and achieve results.
• Excellent analytical, organizational, and problem-solving abilities with a focus on KPIs and operational excellence.
• Strong written and verbal communication skills, with the ability to convey technical information to diverse audiences.

Why this matters

This role will shape the strategic direction of Synopsys' network infrastructure, enabling rapid business growth and innovation. It will drive the adoption of cutting-edge technologies and best practices, enhancing Synopsys' competitive edge in the industry.

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