About the Role

We are seeking a GRC Automation Lead to join our GRC organization and build the technical foundation for how we scale our risk and compliance programs. In this role, you will lead the team that designs and implements automated workflows, data pipelines, and integrations that transform manual compliance processes into scalable engineering systems. 

This is a greenfield opportunity to establish the team, architecture, and integrations that will define how we approach governance, risk, and compliance at Anthropic. The core challenge is a data problem: compliance information lives across dozens of systems—cloud infrastructure, identity providers, HR platforms, ticketing tools, code repositories—and your job is to design systems that bring it together, normalize it, and make it actionable. Success in this role comes from understanding how systems connect and how data flows between them, not from writing code yourself.

At Anthropic, you'll also have a unique advantage: the ability to design AI-powered workflows where Claude acts as an extension of your team, handling tasks that would traditionally require additional headcount or manual effort. You'll need ingenuity to identify where agentic AI can accelerate evidence collection, interpret unstructured data, triage compliance gaps, and augment human judgment in risk assessments. Working closely with Security, IT, and Engineering teams, you'll translate compliance and regulatory requirements into solutions that support audit programs including SOC 2, ISO, HIPAA, and FedRAMP, building systems that combine traditional automation with AI capabilities to achieve scale that wouldn't otherwise be possible.

Responsibilities: 

• Lead the team that establishes foundational GRC processes and architecture. Design and build automated workflows for risk management and compliance, creating scalable systems that enable continuous monitoring as Anthropic grows.
• Build data pipelines that aggregate risk, control, and asset information from across our technology stack. This means solving hard data integration problems: mapping disparate schemas, handling inconsistent data quality, and creating unified views of compliance posture through dashboards and reporting tools.
• Inform GRC platform strategy and implementation: in partnership with other programs, evaluate, select, and deploy tooling that meets our compliance requirements.
• Translate written policies and compliance requirements into policy-as-code—working with Engineering and Security teams to express requirements as enforceable rules, automated checks, and continuous validation rather than static documents.
• Establish feedback loops between policy and implementation: surface where technical controls diverge from written requirements, identify where policies need to evolve based on infrastructure realities, and ensure that compliance requirements are expressed in terms engineers can act on.
• Design and deploy agentic AI workflows that extend team capacity, using Claude to serve as a virtual GRC analyst to automate evidence analysis, monitor control effectiveness, draft audit responses, interpret policy documents, and handle other tasks that require reasoning over unstructured information.
• Design and maintain integrations connecting GRC tooling with cloud infrastructure, identity management systems, HRIS platforms, ticketing systems, version control, and CI/CD pipelines—working with engineers to implement integrations that enable automated evidence collection and continuous compliance validation.
• Build and lead an AI-forward GRC engineering function as we scale: hiring team members, establishing practices, and defining the technical roadmap for governance and compliance automation at Anthropic.

You may be a good fit if you:

• Have 12+ years of total experience and 3-4+ years of experience managing technical individual contributors or systems-focused teams, with a proven track record of building or scaling small teams (2-5 people) in security, compliance, automation, or operations functions.
• Are a systems thinker first. You understand how complex environments work: how data flows between systems, where integration points exist, what breaks when systems don't talk to each other. Your strength is designing the right architecture and environment for security monitoring, not necessarily implementing it yourself.
• Have 5+ years of experience designing automated workflows, data pipelines, or system integrations, whether through traditional development, low-code platforms, GRC tools, or process automation. We care about your ability to solve integration problems more than your programming language proficiency.
• Have a relentless focus on data integration: you understand how to pull data from multiple sources, normalize it, join it meaningfully, and surface insights. You're comfortable reasoning about messy, inconsistent data and designing systems that handle edge cases gracefully.
• Understand APIs and integration patterns: REST APIs, webhooks, authentication flows, polling vs. push architectures, and can evaluate systems based on how well they expose data and support automation.
• Can work independently with minimal guidance, taking ownership of complex problems from design through implementation while managing ambiguity inherent in early-stage programs.
• Have strong analytical and problem-solving skills with attention to detail necessary for compliance work, balanced with pragmatism about risk-based prioritization in fast-paced environments.

Strong candidates may have:

• Experience designing or implementing AI-powered automation, agentic workflows, or LLM-based tooling in operational contexts.
• Experience with GRC platforms such as ServiceNow GRC, Vanta, Drata, OneTrust, RSA Archer, or similar tools including configuration, customization, and integration capabilities
• Familiarity with scripting languages (Python or similar) for automation tasks, API interactions, and data transformation.
• Prior experience in high-growth startup environments demonstrating ability to build scalable processes and adapt quickly to changing requirements and priorities
• Familiarity with Infrastructure as Code tools (Terraform, CloudFormation, Ansible) and DevSecOps practices including CI/CD pipeline integration and policy-as-code implementations.
• Familiarity with cloud platforms (AWS, GCP, Azure) and an understanding of how compliance-relevant data can be extracted from their APIs and logging systems.

Deadline to apply: None, applications will be received on a rolling basis.

About the Role

At CoreWeave we are seeking a dedicated and detail-oriented Operations Engineer to join our HPC Networking Team. HPC Networking at CoreWeave is tasked with developing and operating some of the largest InfiniBand fabrics, powering industry leading AI workloads. 

What You’ll Do

In this role, you will support the deployment, monitoring, troubleshooting, and maintenance of large-scale InfiniBand fabrics, ensuring their stability and performance. The ideal candidate will have a strong operations mindset, effective collaboration skills, and the ability to solve complex issues in a dynamic environment.

• Regularly monitor the performance and health of InfiniBand fabrics, including switches, host adapters, and nodes.
• Investigate and resolve operational issues within InfiniBand fabrics, such as network connectivity problems and performance bottlenecks.
• Assist with the installation and operational bring-up of large InfiniBand fabrics in collaboration with onsite personnel and customer teams.
• Perform routine maintenance and upgrades on InfiniBand switches and control plane components.
• Collaborate with HPC cluster operations teams to provide troubleshooting and operational expertise.

Investing in our people is one of our top priorities, and we value candidates who can bring their diversified experiences to our teams. Here are some qualities we’ve found compatible with our team. We'd love to talk about whether this aligns with your experience and Interests and what you’re excited to work on next.

Who You Are

Minimum Qualifications

• At least 1 year of experience with InfiniBand or similar networking technologies.
• Solid understanding of networking concepts, including architectures, topologies, operational best practices, and troubleshooting.
• Experience with Linux system administration and maintenance.
• Proficiency in at least one scripting language (e.g., Python) and hands-on experience with Ansible.
• Applicants must have work authorization that does not require sponsorship from the company now or in the future
• Experience with monitoring and visualization platforms such as Grafana or Prometheus.

Preferred Qualifications

• Hands-on experience with Nvidia UFM or similar fabric management tools.
• Experience with operational tooling and automation frameworks like Ansible.
• Knowledge of data center operations, including server racks, and cabling.
• Python or Bash scripting.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $90,000-$110,000. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.

Scale is a vital part of bringing AI-enabled technologies to the world, from autonomous driving to drones, robots, and large language models. For example, Scale works with the world's top self-driving car and robotics ML teams as well as the largest companies in the generative AI space. 

As our customer base is growing, you will be on the front lines of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers.

Our Field Engineers ensure customers' experiences with Scale's technology are seamless and optimized to build a successful, long-term partnership. Field Engineers partner closely with Product, Engineering, and Operations to lead existing customers through building production-grade data pipelines. We do this by knowing our customer’s use-cases inside and out, and creating the tooling and documentation needed to scalably support their growth.

Field Engineers in general are experts on Scale's products and codebase, and have general technical knowledge on web development, using APIs, and working with large volumes of data. Field Engineers are strong relationship builders, great project managers, and always fun to work with. 

The ideal person is a software engineer generalist who enjoys working with clients directly, taking ambiguous requirements and issues, and quickly designing and building sustainable solutions in close collaboration with the Product and Engineering teams. This role is at the intersection of customer delivery, product, and engineering, giving you a breadth of experience and fully leveraging both sides of your brain. If this sounds like you, we invite you to apply!

You will:

• Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back
• Work closely with our customer’s engineering teams to optimize data pipelines, including providing input towards designing API endpoints and input/output schemas
• Design, develop and maintain playbooks, internal tools, Scale’s documentation and SDKs to quickly get customers set up for long-term success
• Partner with Software Engineers and Operations to remove any technical hurdles customers may face / Debug technical issues impacting delivery and own technical escalations coming from the customer
• Be accountable for the customer’s technical experience throughout their time with Scale
• Work with AEs and PMs to identify customer-specific feature requests
• Develop technical domain expertise in areas of Large Language Models, 2D Image Annotation, and working with API integrations
• Evangelize Scale and interact with customers at major events
• Have an active TS/SCI clearance

Ideally you'd have:

• Track record of success as a hybrid customer-facing engineer or similar function, wearing multiple hats along the way
• Prior technical hands-on experience working with clients in a pre or post-sales capacity to realize business goals
• Prior experience developing with Python and JavaScript, or other modern software languages
• Strong engineering background preferably in Computer Science, Mathematics, or other quantitative fields
• Strong project management and interpersonal skills
• Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers
• High level of comfort communicating effectively across internal and external organizations
• Intellectual curiosity, empathy, and ability to operate with high velocity

Nice to haves:

• Experience in AI
• Experience working in classified environments
• Previous experience as a technical go-to-market resource
• Understanding of DevSecOps principles, including secure software delivery, infrastructure as code, and continuous integration/deployment
• Hands-on knowledge of container orchestration with Kubernetes and experience with Helm charts for application deployment
• Experience automating infrastructure and configuration management using Ansible or similar tools

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.  

The successful candidate will join the established DCO team at QRT, working closely with Network Engineering and infrastructure teams you will be responsible for the implementation and physical  deployment of electronic trading infrastructure in support of the firm’s trading activities.

Your Future Role within QRT

• Contribute to the design and planning of new equipment deployments in line with data centre best practices

• Deploy, maintain, and decommission trading infrastructure hardware, including FPGA platforms, ultra-low-latency servers, and high-performance network switches, across a global colocation footprint

• Ensure consistent build quality across structured cabling, rack layouts, power distribution, cooling infrastructure, and environmental monitoring

• Coordinate installations, upgrades, capacity expansions, and decommissions with exchanges, colocation providers, hardware vendors, and onsite engineers

• Support procurement, logistics, inventory management, and the movement of hardware and components between sites

• Maintain accurate and up-to-date infrastructure documentation (rack elevations, patching matrices, connectivity layouts) using CMDB tools such as NetBox

• Work closely with network engineering and trading teams to ensure physical infrastructure meets performance and operational requirements

• Use basic scripting (Python, Bash, Ansible) to support automation, monitoring, and operational tooling where required

• Ensure data centre operations meet high standards of security, cleanliness, documentation, and supply management

• Install, troubleshoot, and support servers, switches, timing devices, and cabling in live environments

• Provide break-fix support in a 24/7 global trading environment

Your Present Skillset:

• Experience working in low-latency or high-performance trading infrastructure environments (e.g. HFT, exchange colocation, market making)

• Strong understanding of hardware and systems used in low-latency trading, including FPGAs, optical taps, high-performance servers, networking, and timing equipment

• Solid understanding of hardware and network devices, including basic configuration

• Proven experience managing vendors and delivering on-site changes and large-scale deployments to exacting standards

• High standards of physical build quality, attention to detail, and operational discipline in infrastructure layout and cabling

• Strong documentation skills with a focus on process consistency and operational readiness

• Comfortable working in a fast-paced, globally distributed team environment

• Willingness to travel internationally and provide occasional evening or weekend support as part of a flexible operations schedule

• Ability to participate in an out-of-hours on-call rotation supporting global trading operations

Base salary range for this position is $150,000 to $180,000 per year. 

QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. 

The Infrastructure Operations Team ensures the stability and performance of QRT’s global Linux estate, which underpins both trading and research platforms. The team works closely with end users, application teams, and engineering groups to provide day-to-day operational support, while also driving automation, monitoring, and deployment initiatives across a high-performance computing environment. 

Your Future Role within QRT 

• Administer, support, and upgrade Linux-based trading and research platforms 

• Deploy new servers and manage end-to-end build processes 

• Collaborate with engineering teams on automation and monitoring initiatives 

• Troubleshoot incidents and carry out root-cause analysis to ensure long-term stability 

• Contribute to process documentation and knowledge sharing 

• Perform occasional out-of-hours work and participate in an on-call rota (primarily remote) 

Your Present Skillset 

• Strong Linux administration experience (Red Hat, CentOS) 

• Experience with full lifecycle server deployments (hardware to OS build) 

• Knowledge of AMD/Intel server hardware and components 

• Understanding of networking fundamentals (TCP/UDP, LAN/WAN) 

• Experience with automation tools (e.g. Ansible) 

• Familiarity with scripting languages (Python, Bash) 

• Problem-solving mindset with strong analytical and communication skills 

• Team-oriented with a willingness to learn and adapt 

• Exposure to NFS or SAN storage systems (advantage but not essential). 

This role may involve shift work as required.* 

Base salary range for this position is $150,000 to $200,000 per year. 

QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.  

The successful candidate will join the global Cloud Infrastructure team to design, build and support services and solutions to meet a wide variety of business requirements. You will be working closely with the trading, research and wider business teams to drive adoption of cloud-based services, implementing a cloud-first approach to problem solving. Cloud computing infrastructure is at the heart of QRT’s IT platform, and spans across many business areas including research technology, trading tools, market execution and data processing.

Your future role within QRT:

• Design and implement highly available, scalable, and secure cloud infrastructure on AWS
• Develop automation scripts to manage and maintain cloud infrastructure using tools such as Terraform and CloudFormation
• Monitor and optimize the performance and cost-effectiveness of cloud infrastructure
• Collaborate with development teams to support the deployment and operation of applications on AWS
• Evaluate and recommend new technologies to improve the reliability, scalability, and security of the company's cloud infrastructure
• Troubleshoot and resolve technical issues related to AWS infrastructure

Your present skillset:

• Extensive experience with AWS, including experience with EC2, S3, VPC, and other core services
• Proficiency with scripting languages (e.g. Python, Bash)
• Familiarity with configuration management tools (e.g. Ansible, Terraform)
• Experience with containers and orchestration technologies (e.g. Docker, ECS, Kubernetes)
• Experience with monitoring and performance tuning in a cloud environment
• Familiarity with agile software development methodologies
• Excellent communication and collaboration skills

Base salary range for this position is $150,000 to $220,000 per year. 

QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.  

The Database Administration team, within the global infrastructure function, supports, administers, and secures QRT’s key database platforms. The team partners with users across the business to translate requirements into resilient, scalable solutions, ensuring that data platforms remain robust, performant, and aligned with QRT’s trading and research needs. 

Your Future Role within QRT 

• Administer and maintain PostgreSQL and SQL Server databases in a production environment 

• Support database projects covering administration, high availability, capacity planning, design, and data warehousing 

• Implement and monitor disaster recovery, backup, and performance tuning processes 

• Manage security, access, and permissions across environments 

• Collaborate with business and technology teams to design and deliver reliable database solutions 

• Contribute to the automation and scripting of database operations (e.g. PowerShell, Shell, Python, Ansible) 

• Assist with cloud database administration initiatives 

Your Present Skillset 

• 5+ years’ experience in production database administration for PostgreSQL and SQL Server 

• Knowledge of database monitoring, performance analysis, disaster recovery, and performance tuning 

• Proficiency in SQL, T-SQL, or PL/SQL for administration and development 

• Experience managing security and permissions across environments 

• Strong documentation, testing, and attention to detail 

• Organized, proactive, and collaborative team player 

• Experience with one or more of the following is a plus: ClickHouse, Snowflake, cloud database administration, scripting (PowerShell, Shell, Python, Ansible) 

Base salary range for this position is $130,000 to $180,000 per year. 

QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.

We are looking for an experienced Senior or Staff Engineer for our SRE, InfraSec team, to guide the security of our cloud-based infrastructure. As a Staff SRE, you will be very hands-on technically while also mentoring a small team of SREs.

The InfraSec team collaborates closely with other engineering teams to ensure that our infrastructure adheres to the highest security standards. They build essential security infrastructure and implement controls that reinforce the platform’s security posture.

This is an SRE team, which means you can expect a highly hands-on approach, tackling the technical challenges of implementing large scale solutions.This team is deeply involved in the technical aspects of security and the nuances of its actual implementation.

This role can sit in our New York City, Austin, Seattle or San Francisco offices on a hybrid basis, or it can be fully remote while working from a location based in either Eastern or Central time zones.

Responsibilities:

Cloud Security Design and Implementation:  

• Help lead the design and deployment of security solutions for cloud platforms (AWS, Azure, GCP), including network and compute security, identity management, and cloud security posture management (CSPM)

Automation and Monitoring:  

• Build automated solutions for real-time security monitoring, logging, and alerting in cloud environments. Leverage native cloud services and third-party tools for runtime security monitoring and anomaly detection

Security Tooling:

• Evaluate, implement, and manage cloud-native security tools and platforms for endpoint security, identity management (IAM), and CSPM 

Qualifications:

Experience:  

• 6+ years of experience in SRE, infrastructure engineering or similar role, with a strong focus on security work, with ideally 2+ years in a senior or staff engineering role

Security Mindset:

• A comprehensive understanding of all facets of cloud environment security, spanning from foundational OS networking layers to cloud provider configurations. Proven experience in leading projects within security-focused areas, such as runtime scanning, security observability, CSPM, and more

Cloud Expertise:  

• Strong experience with at least one cloud platform (AWS, Azure, GCP), including expertise in IAM, VPC networking, security groups, and cloud security tools (e.g., GuardDuty, Security Hub, CloudTrail)

Coding/Automation:  

• Proficiency in at least one programming language (we use Golang but are language agnostic when it comes to hiring ) and experience with infrastructure-as-code tools (Terraform, CloudFormation, Ansible) to automate security configurations and processes

Linux and Networking

• Understanding of the underlying Linux and networking concepts, including low-level fundamentals, and how they work together in complex systems

Communication and Leadership Skills:  

• Strong ability to explain complex security concepts to both technical and non-technical teams. Ability to lead a small technical team and ensure success both meeting the team goals as well as personal growth for all team members

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 1263064630

About the Role

As a seasoned Infrastructure Engineer, you will design, manage, and scale our high-performance computing environments. This role bridges the gap between traditional system
administration and modern platform engineering, focusing on reliability, automation, and the stringent security requirements of the financial services industry. You will be responsible for a
hybrid ecosystem that spans AWS cloud and on-premise systems, ensuring 99.99% uptime for mission-critical services and transactions.

What You’ll Do

• Linux Systems Engineering: Design and manage high-performance Linux environments including Ubuntu, RHEL, or Amazon Linux. Focus on tuning for low-  latency financial applications and system-level hardening
• Infrastructure as Code (IaC): Architect and maintain scalable cloud infrastructure using Terraform and Ansible, treating infrastructure as a software project with version control
  and peer reviews
• Hybrid Networking: Manage connectivity between cloud environments and on-premise systems, focusing on secure VPC design, VPNs, and routing
• On-Premise Management: Manage physical switches, routers, and firewalls, with an understanding of multicast, VLANs, and interface aggregation
• CI/CD & Release Engineering: Build and optimize deployment pipelines to ensure system updates, patches, and application code are deployed safely and frequently
• Observability & Reliability: Implement comprehensive monitoring (using Prometheus, Loki, and Grafana) to track system SLIs/SLOs and implement automated alerting or self-
  healing scripts
• Container Platform Management: Support and scale Docker / Podman environments, focusing on pod networking and container runtimes
• Infrastructure Security: Implement "shift-left" security, including OS-level hardening (SELinux, AppArmor), automated vulnerability scanning, and IAM policy refinement

What You’ll Need

• Education: Bachelor’s degree in Computer Science, Engineering, IT, or a related field
• Systems Expertise: 3+ years of experience in Linux Administration or Infrastructure Engineering
• System Internals: Deep knowledge of system performance profiling (e.g., top, iostat, strace) and comfort with Linux system fundamentals (i.e. Systemd, LVM, and Cron)
• Automation Proficiency: Strong proficiency in Ansible and Terraform for infrastructure and system automation. Bash and/or Python experience for custom tooling as required
• Cloud & Networking Fundamentals: Hands-on experience with AWS Networking fundamentals (VPCs, Routing Tables, and Nat Gateways). Solid understanding of TCP/IP, DNS, and routing protocols like BGP or OSPF
• Container Runtime: Experience with container runtimes in a Production environment (Docker / Podman, Docker Compose). Kubernetes experience is a plus
• Problem Solving: Ability to perform root-cause analysis on complex distributed systems
  
  Applicants must be authorized to work for any employer in the U.S. DriveWealth is unable to sponsor an employment Visa at this time.

Special Knowledge (Nice to Have, But Not Required)

• Compliance Knowledge: Experience working within regulated environments such as SOC2, or FINRA
• High-Availability Architecture: Experience building multi-region, failover-capable architectures for mission-critical financial transactions
• SDLC Architecture: Architecting deployment pipelines using GitHub actions, familiarity with AWS Secrets Manager for managing sensitive secrets, and other DevOps toolchain
  services
• Fintech Protocols: Basic understanding of financial messaging or low-latency requirements, such as FIX protocol
• Security & Application Tuning: Experience with WAF, DDoS mitigation strategies, and tuning edge application services such as HAProxy
• Certifications: CompTIA Linux+, RHCSA/RHCE, or AWS SysOps Administrator

Senior Network Engineer  

About IEX: 

IEX (IEX Group, Inc.) is an exchange operator and technology company dedicated to innovating for performance in capital markets. Founded in 2012, IEX launched a new kind of securities exchange in 2016 that combines a transparent business model and unique architecture designed to protect investors. Today, IEX applies its proprietary technology and experience to drive performance across asset classes, serve investors, and advocate for transparent and competitive markets.   

Role Overview: 

IEX is seeking a Senior Network Engineer to join our growing Infrastructure team. In this role, you will contribute to the design, implementation, and operation of high-performance, low-latency networks, including IEX’s new Options Exchange. This role requires expertise in low-latency networking and high-performance infrastructure to support real-time trading operations. The ideal candidate thrives in a high-pressure, fast-changing, and demanding environment, where microseconds matter. You will also play a crucial role in ensuring the resilience, scalability, and security of our infrastructure. 

What You’ll Do: 

Network Design & Engineering: 

• Participate in the engineering process to design, build, and manage resilient, high-performance network platforms 

• Collaborate with teams to ensure our network supports high-availability and low-latency operations 

• Contribute to the capacity planning, performance engineering, and scalability of network infrastructure 

Network Automation & Operations: 

• Automate, deploy, maintain, monitor, and upgrade network systems and services 

• Design and implement tools to automate network tasks and improve network operations 

• Monitor network performance, troubleshoot issues, and optimize the network to ensure reliability 

• Configure and maintain high-performance switches, routers, and firewalls from vendors such as Arista, Cisco, Juniper, and Fortinet 

Collaboration & Support: 

• Work with cross-functional teams, including Data Center Engineers and SREs, to maintain seamless network operations 

• Provide troubleshooting support and collaborate with vendors and contractors to resolve network issues quickly and efficiently 

Your Background: 

Experience: 

• Minimum of 10 years of experience in networking, with a focus on high-performance, low-latency networks 

• Strong experience with multicast and network automation platforms, such as Ansible and Python 

• Proven experience in the financial services industry, ideally in a High-Frequency Trading firm, Proprietary Trading Firm, or Exchange environment 

• Solid experience with capacity planning, network performance tuning, and implementing network upgrades 

Technical Skills: 

• Advanced understanding of network protocols and technologies, including TCP/IP, BGP, OSPF, VRF, STP, IGMP, PIM 

• Hands-on experience with network automation and orchestration tools (e.g., Ansible, Python, or similar platforms) 

• Familiarity with network monitoring tools and performance tuning techniques 

• Experience with firewalls and load balancers 

• Experience with BGP traffic engineering 

• Ability to troubleshoot packet loss, jitter, microbursts, and network latency issues in real-time 

• Familiarity with FIX protocol, FPGA-based networking, and market data feed handlers 

• Solid understanding of exchange connectivity, colocation facilities, and direct market access (DMA) 

• Prior work with cloud-based trading environments and hybrid infrastructures (AWS, GCP, or Azure) 

 Certifications & Education: 

• Bachelor's degree in computer science, Information Technology, Engineering, or a related field. 

• Networking certifications (e.g., CCNP, CCIE, JNCIE, or Arista ACE) are preferred 

Personal Attributes: 

• Experience working in fast-changing, high-pressure environments where downtime directly impacts revenue 

• Self-starter with a passion for learning new technologies and solving complex networking problems 

• Strong critical thinking and problem-solving skills, with the ability to think both strategically and tactically 

• Motivated to take on challenges, with the ability to work independently and take ownership of projects 

• Detail-oriented and highly organized, capable of managing multiple projects and priorities in a fast-paced environment 

• Proven ability to collaborate effectively with cross-functional teams to achieve common goals 

Additional Information: Occasional travel to other data centers and disaster recovery sites, as required 

Our job titles may span more than one career level. The starting annual base pay is between $225,000 and $250,000 for this NY-based position. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The annual base pay range is subject to change and may be modified in the future. This role is eligible for bonus and equity. 

Here at IEX, we are dedicated to an inclusive workplace and culture. We are an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, alienage or national origin, ancestry, citizenship status, age, disability or handicap, sex, marital status, veteran status, sexual orientation, genetic information or any other characteristic protected by applicable federal, state or local laws. This policy not only complies with all applicable laws and protects workers' rights but is vital to IEX’s overall mission and values. 

 NYC Applicants_Notice Regarding Use of Automated Employment Decision

The financial industry is growing at a record pace, but our data providers are still stuck in the past — with cumbersome onboarding processes, complicated APIs, slow infrastructure, and expensive licensing costs.

Databento is the next generation market data provider — with the radical idea that you should only pay for the data that you use. We power the world's largest finance and fintech institutions and lower the barrier of entry for small startups, gaining over 4,000 users during our first year of launch. Our team brings former experience at the world's leading quantitative firms, including Two Sigma, Flow Traders, Tower Research, PDT Partners, SIG, and more.

We offer health, dental, disability, and life insurance benefits, as well as 401(k) matching for full-time employees. We accommodate 100% remote work, with teammates living around the globe and paid in their local currency.

Responsibilities

• Systems and network configuration.
• Bare-metal and containerized application deployment.
• Maintaining large storage clusters.
• Instrumenting performance measurement and alerts.
• Improving systems automation and tooling.
• On-call support.
• Coordinating bulk data delivery to customers and vendor partners.
• Occasional physical infrastructure deliveries and systems provisioning.

Required qualifications

• Strong Linux knowledge.
• Experience with systems configuration and provisioning (PXE, Puppet, and Ansible preferred; Terraform).
• Understanding of storage concepts (RAID, LVM, popular filesystems, distributed storage).
• Basic networking (OSI model, IP protocols, switching/routing).
• Ability to code in Python and write shell scripts.
• DevOps/GitOps mindset.
• Prior internship experience or 2+ years in full-time systems engineering or infrastructure roles.
• Bachelor’s degree in Computer Science or a related field.
• Candidates must be authorized to work in the U.S.; H-1B visa sponsorship is not available.

Nice-to-haves

• Experience with distributed storage systems (e.g., Ceph).
• Customer support experience and strong problem-solving abilities.
• Prior experience at a trading or fintech firm, or a strong interest in learning fintech.
• Database administration (MySQL, ClickHouse, Redis).
• Cloud engineering basics (AWS, GCP — compute, storage).
• Virtualization and compute workloads (Proxmox, Docker, Kubernetes, HTCondor).
• Systems and network tuning.
• Monitoring and alerting (Prometheus, Grafana, Alertmanager, Loki).
• Ability to travel to data centers in New Jersey or Boston on short notice (within one week).

Hudson River Trading (HRT) is seeking a Windows Systems Engineer to join our Enterprise Engineering team. In this role, you will help scale HRT’s global hybrid Windows deployment and develop automation, configuration-as-code, and infrastructure-as-code solutions to seamlessly manage fleets of top-of-the-line user endpoints, mission critical servers, cloud infrastructure, and secure remote computing environments around the world. You will apply configuration-as-code practices to reduce operational overhead, build PowerShell-based systems that improve platform stability and resilience, and enhance the reliability of our Windows platform by designing and implementing automation that identifies and resolves technical inefficiencies across on-premises and Azure infrastructure.

The ideal candidate is a Microsoft-based technology engineer and eager problem solver who is comfortable working in a fast-paced environment. Terrific communication and collaboration skills, as well as a positive attitude towards team members and internal customers, are crucial to success within this role. 

Responsibilities

• Leverage configuration-as-code paradigms to reduce the operational overhead of managing Windows infrastructure
• Use infrastructure-as-code to consistently configure Microsoft Azure resources
• Develop PowerShell-based systems to automate operational tasks and enhance the reliability of the Windows platform
• Leverage automation to identify and remediate technical inefficiencies across Windows endpoints, Windows infrastructure, and Microsoft Azure resources
• Participate in ongoing engineering, maintenance, and support efforts to improve the Windows environment

Qualifications

• 10+ years of experience as a Microsoft-based technology engineer
• Experience using Ansible (or similar configuration-as-code tool) to manage a fleet of Windows devices
• Proven ability to provision Microsoft Azure resources with Terraform
• Proficiency with Microsoft Graph API development
• Experience developing scripts and tools using PowerShell
• Familiarity with Microsoft Intune, Autopilot, Entra ID, and Active Directory
• A general design approach that incorporates security best practices, business continuity, high availability, and scalability
• A self-motivated and driven work ethic

The estimated base salary range for this position is 150,000 to 250,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is seeking a Windows Systems Engineer to join our Enterprise Engineering team. In this role, you will help scale HRT’s global hybrid Windows deployment and develop automation, configuration-as-code, and infrastructure-as-code solutions to seamlessly manage fleets of top-of-the-line user endpoints, mission critical servers, cloud infrastructure, and secure remote computing environments around the world. You will apply configuration-as-code practices to reduce operational overhead, build PowerShell-based systems that improve platform stability and resilience, and enhance the reliability of our Windows platform by designing and implementing automation that identifies and resolves technical inefficiencies across on-premises and Azure infrastructure.

The ideal candidate is a Microsoft-based technology engineer and eager problem solver who is comfortable working in a fast-paced environment. Terrific communication and collaboration skills, as well as a positive attitude towards team members and internal customers, are crucial to success within this role. 

Responsibilities

• Leverage configuration-as-code paradigms to reduce the operational overhead of managing Windows infrastructure
• Use infrastructure-as-code to consistently configure Microsoft Azure resources
• Develop PowerShell-based systems to automate operational tasks and enhance the reliability of the Windows platform
• Leverage automation to identify and remediate technical inefficiencies across Windows endpoints, Windows infrastructure, and Microsoft Azure resources
• Participate in ongoing engineering, maintenance, and support efforts to improve the Windows environment

Qualifications

• 10+ years of experience as a Microsoft-based technology engineer
• Experience using Ansible (or similar configuration-as-code tool) to manage a fleet of Windows devices
• Proven ability to provision Microsoft Azure resources with Terraform
• Proficiency with Microsoft Graph API development
• Experience developing scripts and tools using PowerShell
• Familiarity with Microsoft Intune, Autopilot, Entra ID, and Active Directory
• A general design approach that incorporates security best practices, business continuity, high availability, and scalability
• A self-motivated and driven work ethic

The estimated base salary range for this position is 150,000 to 250,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is seeking a Trading Systems Engineer to join our growing Trading Systems Infrastructure team. This team designs, builds, and maintains the infrastructure that powers our global trading, and is responsible for ensuring optimal performance and uptime of the ultra low-latency operating systems, automation software, and development tools that allow our trading strategies to run worldwide 24/7.

As a Trading Systems Engineer, you’ll work on projects focusing on our real-time production trading environment and tackle problems that require high availability, high throughput, and ultra low-latency solutions. The ideal candidate possesses a passion for coding and automation, is eager to learn new skills to help build an elegant stack, and has the ability to handle challenging technical issues within a dynamic and fast-paced environment.

Responsibilities

• Design, manage, automate, and optimize worldwide Linux-based trading infrastructure by planning and executing complex technical projects and tasks
• Troubleshoot hardware and software issues across the stack 
• Design and implement system installations and upgrades 
• Deploy, configure, and test internal and external applications 
• Remain unfazed by production-critical issues, resolving them quickly and efficiently
• Benchmark and tune the performance of the trading stack 
• Hold vendors accountable on performance and reliability issues, with the ability to confidently go toe-to-toe with a vendor's Tier 2 engineering team during an escalation
• Join an on-call rotation schedule to cover trading hours and weekend shifts, as needed

Qualifications

• 7+ years of relevant experience supporting a live production environment (especially trading)
• Expert in installing, configuring, and troubleshooting Linux systems, from hardware and networking to kernel to applications 
• Knowledge of Debian/Ubuntu is desirable
• Proficiency with configuration management tools, particularly SaltStack – strong knowledge of Puppet, Ansible, Chef, or CFEngine is also desirable
• Advanced programming experience focusing on automation and integration; Python is strongly preferred
• Advanced shell (bash) scripting experience
• Significant experience managing and debugging production trading services
• Strong cross-functional communication and organization skills
• Proven ability to manage assigned projects efficiently, ideally using JIRA
• Architect-level cloud experience in AWS or GCP is desirable, but not required

This job is accepting ongoing applications and there is no application deadline.

The estimated base salary range for this position is 150,000 to 250,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience.

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

The Networks team designs, builds and maintains all the communications infrastructure that allows our high-capacity, low-latency trading and data research environments to run 24/7.  This network spans over 25 countries and 100 locations. We are looking for a Senior Network Engineer with experience designing and managing large environments to fulfill the high-performance and availability requirements of a premiere algorithmic trading firm operating in global financial markets. 

This position requires both project management and deep technical skills. Working together with some of the brightest minds in our industry, you’ll be responsible for everything from product selection and design to routing configuration and troubleshooting. You will work closely with our Systems and Trading Operations teams as well as others at HRT to build, manage, and monitor our low-latency trading network. You’ll have broad responsibilities with freedom to analyze and solve problems, and your solutions will have an immediate impact on our worldwide operations. 

We’re looking for someone with a love for technology and an excitement for tackling big picture problems. You will work on a wide variety of projects to enhance the performance and capacity of the global trading and research platforms and contribute to both high-level strategy and the technical nitty-gritty of our global network architecture.

Qualifications

• BS in Computer Science, Electrical Engineering, or related IT field
• 5-10 years of relevant experience, preferably in low-latency and high-frequency trading environments.
• In depth understanding of common layer 2 and layer 3 network protocols and best practices; working knowledge of OSPF, BGP, PIM, IGMP
• Experience managing Arista, Cisco, and other common networking devices on a day-to-day basis
• Familiarity with low-latency microwave networks and/or optical transmission systems, such as Adva, Ciena is desirable
• Experience in designing enterprise networks, capacity planning, and full lifecycle project management
• Experience with packet decoding and analysis tools such as tcpdump and Wireshark
• Excellent oral and written communication skills: able to distill complicated issues into clear and concise terms and to create and maintain effective technical documentation
• Experience with Unix/Linux command line utilities and networking stack
• Excellent troubleshooting skills on a wide range of networking issues, including common ethernet LAN problems, multicast market data distribution, and global WAN
• Understanding of basic power consumption and cooling issues in a datacenter environment
• Knowledge of fiber optics technology and cabling standards. Ability to sort through specs and make recommendations on appropriate purchases
• Willingness and ability to solve small technical problems in the field yourself.
• You have excellent collaboration skills and a willingness to admit mistakes.
• Familiarity with firewalls (including Cisco, Palo Alto, Fortinet), VPNs and NAT
• Familiarity with configuration management tools, such as Ansible or Salt is desirable
• Familiarity with Python, Prometheus, Grafana, ELK, GitHub is desirable
• Familiarity with public cloud networks, such as AWS, GCP, Azure, is desirable

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience.

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

Hudson River Trading (HRT) is seeking a Senior WAN Engineer with experience designing, deploying, and scaling high-capacity WAN to support our evolving HPC research and algorithmic trading application requirements.

The WAN Engineering Team designs and engineers the Global Wide Area Network (WAN) Infrastructure that supports our massive HPC data centers as well as our trading infrastructure globally. Our mandate is to architect, optimize, and scale the high-performance LAN and WAN infrastructure that interconnects our globally distributed, large-scale on-prem data centers and trading colos, enabling them to grow rapidly and operate at peak performance in support of HRT’s demanding computational workloads. 

Responsibilities

• Strategic network design, product selection, routing, configuration and troubleshooting for our next-generation WAN
• Work closely with our Networks and HPC Systems teams, among others, to scale our WAN to meet HRT’s evolving research and trading application requirements
• Overall capacity planning for the Data Center WAN
• Implement fully programmatically-driven network architectures using Python and configuration management tools (e.g., Ansible, Terraform, Saltstack)
• Collaborate with others in the network team to solve cross-disciplinary problems
• Analyze traffic patterns and optimize bandwidth usage
• Provide detailed documentation 
• Mentor others as a senior resource 

Qualifications

• 10+ years of relevant experience with carrier-scale global WAN design
• Proven ability to prioritize workloads and manage implementation schedules with  meticulous attention to detail 
• Proactive problem-solver with the technical skills and hands-on mentality to tackle challenges in the field
• Strong cross-functional collaboration skills and a focus on continuous improvement, with the humility to own and learn from mistakes
• Strong expertise in:
• Advanced BGP (BGP-SR, MP-BGP, BGP-LU, Extended Communities, UCMP), eBGP Route Server
• Segment Routing (SR-MPLS, SR-TE, BGP Prefix SID, Flex-Algo, TI-LFA, Fast Re-route)
• MPLS (LDP, RSVP-TE)
• OSPF/IS-IS
• QOS in WAN Environments
• Network and QOS Telemetry
• Multi-WAN vendor expertise (Arista, Cisco, Juniper, Other)
• Packet decoding and analysis tools such as tcpdump and Wireshark
• Experience with public cloud networks such as AWS, GCP, or Azure
• Unix/Linux command line utilities and networking stack
• Familiarity with Prometheus, Grafana, ELK is desirable
• Optical OLS/DWDM experience is desirable 

Hudson River Trading (HRT) is seeking a Senior WAN Engineer with experience designing, deploying, and scaling high-capacity WAN to support our evolving HPC research and algorithmic trading application requirements.

The WAN Engineering Team designs and engineers the Global Wide Area Network (WAN) Infrastructure that supports our massive HPC data centers as well as our trading infrastructure globally. Our mandate is to architect, optimize, and scale the high-performance LAN and WAN infrastructure that interconnects our globally distributed, large-scale on-prem data centers and trading colos, enabling them to grow rapidly and operate at peak performance in support of HRT’s demanding computational workloads. 

Responsibilities

• Strategic network design, product selection, routing, configuration and troubleshooting for our next-generation WAN
• Work closely with our Networks and HPC Systems teams, among others, to scale our WAN to meet HRT’s evolving research and trading application requirements
• Overall capacity planning for the Data Center WAN
• Implement fully programmatically-driven network architectures using Python and configuration management tools (e.g., Ansible, Terraform, Saltstack)
• Collaborate with others in the network team to solve cross-disciplinary problems
• Analyze traffic patterns and optimize bandwidth usage
• Provide detailed documentation 
• Mentor others as a senior resource 

Qualifications

• 10+ years of relevant experience with carrier-scale global WAN design
• Proven ability to prioritize workloads and manage implementation schedules with  meticulous attention to detail 
• Proactive problem-solver with the technical skills and hands-on mentality to tackle challenges in the field
• Strong cross-functional collaboration skills and a focus on continuous improvement, with the humility to own and learn from mistakes
• Strong expertise in:
• Advanced BGP (BGP-SR, MP-BGP, BGP-LU, Extended Communities, UCMP), eBGP Route Server
• Segment Routing (SR-MPLS, SR-TE, BGP Prefix SID, Flex-Algo, TI-LFA, Fast Re-route)
• MPLS (LDP, RSVP-TE)
• OSPF/IS-IS
• QOS in WAN Environments
• Network and QOS Telemetry
• Multi-WAN vendor expertise (Arista, Cisco, Juniper, Other)
• Packet decoding and analysis tools such as tcpdump and Wireshark
• Experience with public cloud networks such as AWS, GCP, or Azure
• Unix/Linux command line utilities and networking stack
• Familiarity with Prometheus, Grafana, ELK is desirable
• Optical OLS/DWDM experience is desirable 

The estimated base salary range for this position is 150,000 to 250,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is looking for GPU Systems Engineers to help scale and evolve our exceptionally sophisticated HPC/AI research environment. 

Joining our Research and Development team, you will collaborate with experts responsible for the compute, storage, operating systems, and automation tools that enable our trading and research to run 24/7 across the globe. We design, grow, and operate infrastructure at a large scale, including triple-digit petabyte-scale storage and massive CPU and GPU clusters in globally distributed data centers. As such, this is a high-impact role with broad scope, from HPC/AI cluster design and performance tuning, to troubleshooting and automation for thousands of nodes.

Responsibilities

• Design, build, and optimize large-scale distributed GPU compute clusters
• Identify and resolve GPU workloads’ performance bottlenecks across compute, storage, and networking layers
• Collaborate with research and development teams to profile, benchmark, and fine-tune GPU-based workloads
• Automate system deployment, monitoring, and troubleshooting across thousands of nodes
• Collaborate with research, and engineering teams to support evolving workloads
• Own critical infrastructure projects — from concept to implementation and support
• Test and deploy new hardware and software, and partner with vendors to resolve complex issues

Qualifications 

• 5+ years of experience in large-scale Linux systems engineering in HPC, AI or distributed infrastructure roles.
• Extensive experience in Linux system installation, performance tuning, and troubleshooting
• Expertise in troubleshooting distributed GPU workloads
• Deep knowledge around GPU optimization and performance  
• Proficiency in Python scripting and automation frameworks 
  • CUDA or C/C++ experience is a plus
• Experience with NVIDIA technologies beyond CUDA, such as NCCL, GPUDirect RDMA, and NVLink 
• Familiarity with configuration management tools (e.g. Salt, Ansible, Puppet, Chef)
• Comfortable diagnosing complex system issues at the hardware, OS, and network levels
• Strong communication and organizational skills; able to collaborate across diverse technical teams
• Thrive in fast-paced environments and excited by high-impact work

The estimated base salary range for this position is 150,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. 

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

Hudson River Trading’s High Performance Computing (HPC) Network Engineering team designs and engineers the low-latency communications infrastructure that underpins our incredibly large GPU and CPU compute clusters. Our mandate is to architect, optimize, and scale the high-performance LAN and WAN infrastructure that interconnects globally distributed, large-scale on-prem data centers, enabling them to grow rapidly and operate at peak performance in support of HRT’s demanding computational workloads. 

We are looking for a Network Engineer with deep experience in designing, deploying, and scaling networks for large-scale HPC environments. You will be building the next generation of infrastructure required by a premier algorithmic trading firm operating at the forefront of technology and finance.

This position requires deep technical skills, along with the  product leadership and vision needed for the future of cloud-scale networking. You’ll have broad responsibilities and freedom to analyze and solve problems, and your solutions will have an immediate impact on our operations worldwide. We’re looking for someone who loves  technology and is excited about tackling big picture problems. You will work on a wide variety of projects to enhance the performance and capacity of the network and contribute to both the management and the technical nitty-gritty of our computing architecture. Our people and our compute capabilities are our two most important differentiators, and that is where we are investing the most.

Responsibilities

• Network design, product selection, routing, configuration and troubleshooting
• Closely work with our HPC Systems team, as well as other teams to scale our research environment 
• Meet with external parties for project related items as well as future endeavors
• Overall capacity planning for the data center networks
• Develop scripts and processes to increase efficiency
• Collaborate with others in the network team to solve cross discipline problems
• Provide detailed documentation 
• Mentor others as a senior resource 

Profile

• 10+ years of relevant experience
• Proven ability to prioritize workloads and manage implementation schedules with a meticulous attention to detail 
• Proactive problem-solver with the technical skills and hands-on mentality to tackle challenges in the field.
• Strong collaboration skills and a focus on continuous improvement, with the humility to own and learn from mistakes 

Skills

• Excellent oral and written communication skills: able to distill complicated issues into clear and concise terms
• Able to create and maintain clear and effective technical documentation
• In depth understanding of common layer 2 and layer 3 network protocols (OSPF, BGP, PIM, IGMP, RoCEv2, spine-leaf architecture, and VXLAN) and best practices for them
• Proven ability to select and work with vendors to engineer switches for next-generation computing environments
• Experience managing Arista (EOS), Cisco (NX-OS), Nvidia (Cumulus) and SONiC-based switches, as well as an interest in exploring new platforms
• Strong design skills in computing and grid networks, with expertise in capacity planning, and full lifecycle project management
• Experience with packet decoding and analysis tools such as tcpdump and Wireshark
• Experience with public cloud networks, such as AWS, GCP, Azure
• Familiarity with configuration management tools, such as Ansible or Salt is desirable to support zero-touch network management
• Familiarity with Python, Prometheus, Grafana, ELK, GitHub is desirable
• Understanding of basic power consumption and cooling issues in a data center environment
• Knowledge of fiber optics technology and cabling standards ranging from 1 to 800 Gbps. Ability to sort through specs and make recommendations on appropriate purchases.
• Skilled in Unix/Linux command line utilities and networking stack
• Experience with AI style network designs and workloads is preferred

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. 

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

Hudson River Trading (HRT) is seeking a Junior Trading Systems Engineer to join our growing Trading Systems Infrastructure team. This team designs, builds, and maintains the infrastructure that powers our global trading, and is responsible for ensuring optimal performance and uptime of the ultra low-latency operating systems, automation software, and development tools that allow our trading strategies to run worldwide 24/7.

As a Junior Trading Systems Engineer, you’ll work on projects focusing on our real-time production trading environment and tackle problems that require high availability, high throughput, and ultra low-latency solutions. The ideal candidate possesses a passion for coding and automation, is eager to learn new skills to help build an elegant stack, and has the ability to handle challenging technical issues within a dynamic and fast-paced environment. 

Responsibilities

• Manage worldwide Linux-based trading infrastructure by contributing to the planning and execution of complex technical projects and tasks
• Troubleshoot hardware and software issues across the stack 
• Plan and implement system installations and upgrades 
• Deploy, configure, and test internal and external applications 
• Improve documentation and reduce technical debt
• Benchmark the performance of the trading stack, working with subject matter experts across the organization
• Join an on-call rotation schedule to cover trading hours and weekend shifts, as needed

Qualifications

• 2+ years of relevant experience managing Linux systems: you can install packages, manage users, control services, and know where to look for system logs, and you understand TCP/IP networking, default gateways, and how to debug connectivity problems
• Familiarity installing and configuring Linux systems, from hardware and networking to kernel to applications 
• Knowledge of Debian/Ubuntu is desirable
• Basic familiarity with configuration management tools, particularly SaltStack – some knowledge of Puppet, Ansible, Chef, or CFEngine is also desirable
• Proven programming experience: you don't just know what big-O notation is, you've also built working software and can explain and defend your design
• Basic shell (bash) scripting experience
• Experience using JIRA
• Strong cross-functional communication and organization skills
• Experience with production systems, as well as some cloud experience in AWS or GCP, is desirable but not required

The estimated base salary range for this position is 120,000 to 160,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Responsibilities

• Evaluate and mature the organization’s disaster recovery posture, including recovery objectives (RTO/RPO), dependency mapping, and failure domain analysis across applications, data, and infrastructure.
  
  
• Define, document, and establish disaster recovery standards and best practices across cloud infrastructure, platforms, and application architectures.
  
  
• Partner with SRE, platform, security, and product engineering teams to design and implement resilient, fault-tolerant systems, progressing from backup-based recovery to multi-region and active-active architectures.
  
  
• Lead the disaster recovery roadmap, balancing technical feasibility, cost, risk, and business priorities.
  
  
• Design and recommend reference architectures for disaster recovery patterns, including pilot-light, warm standby, hot standby, and active-active.
  
  
• Drive adoption of active-active disaster recovery for critical systems, including traffic management, data replication, consistency models, and automated failover.
  
  
• Define and operationalize testing strategies for DR, including game days, chaos testing, and regular recovery exercises.
  
  
• Establish clear documentation, runbooks, and escalation paths to ensure recoverability is well understood and not dependent on individuals.
  
  
• Evaluate and recommend platform upgrades, cloud services, and tooling that improve resilience, recovery speed, and reliability.
  
  
• Serve as a technical authority and advisor on disaster recovery and resilience for leadership and engineering teams.
  
  
• Provide architectural guidance, design reviews, and mentorship to engineers implementing DR-related changes.
  
  
• Partner with security and compliance teams to ensure DR strategies meet regulatory, audit, and data protection requirements.
  
  

Desired Experience

• Bachelor’s or Master’s degree in Computer Science or equivalent practical experience.
  
  
• 8+ years of experience in cloud infrastructure, platform engineering, SRE, or reliability-focused architecture roles.
  
  

Disaster Recovery & Resilience

• Deep understanding of disaster recovery concepts including RTO/RPO, blast radius reduction, failure domains, and dependency isolation.
  
  
• Proven experience designing and implementing multi-region and multi-availability zone architectures.
  
  
• Hands-on experience moving systems toward active-active or highly available architectures.
  
  
• Strong grasp of data replication strategies, consistency tradeoffs, and recovery patterns for databases and stateful systems.
  
  

Cloud & Platform Engineering

• Extensive experience with major cloud providers (AWS preferred, GCP/Azure acceptable).
  
  
• Strong understanding of managed cloud services and their DR characteristics and limitations.
  
  
• Experience with Kubernetes-based platforms, including regional failover, workload portability, and cluster recovery strategies.
  
  
• Familiarity with global traffic management, DNS, load balancing, and service mesh patterns.
  
  

Automation & Infrastructure as Code

• Experience designing and maintaining Infrastructure as Code using tools such as Terraform, Pulumi, CloudFormation, or Ansible.
  
  
• Strong focus on automation for recovery workflows, failover testing, and environment provisioning.
  
  
• Ability to eliminate manual recovery steps and reduce time-to-recovery through software.
  
  

Operational Excellence

• Experience defining and running DR tests, game days, and failure simulations.
  
  
• Comfortable working across organizational boundaries to influence priorities and standards.
  
  
• Strong documentation and communication skills, with the ability to translate complex technical risk into business impact.

THE POSITION
Our roster has an opening with your name on it

FanDuel is looking for a Staff Observability Engineer to design, build, and mature the observability ecosystem that underpins our platform and services. You will deliver deep visibility into system behavior by combining system telemetry with user signals to provide a holistic view of performance, reliability, and user experience. You’ll also explore how AI and machine learning can enhance observability, from intelligent alerting and anomaly detection to accelerating root cause analysis.

This is a hands-on role. You’ll partner closely with engineering and product teams to deliver scalable observability capabilities, serve as a subject matter expert in monitoring, alerting, and incident management, and equip teams with self-service insights and tooling. By connecting system behavior to real user impact and leveraging AI-assisted workflows to surface issues faster, you’ll drive improvements in reliability, performance, and data-informed decision-making across the organization.

In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

THE GAME PLAN
Everyone on our team has a part to play

• Contribute in defining and driving the observability strategy and roadmap across multiple teams, aligning with business priorities and engineering goals.
• Design and improve scalable observability capabilities that provide actionable insights into system health, performance, and user experience.
• Establish and standardize best practices for monitoring, alerting, incident management, and postmortems across the organization.
• Drive operational excellence by evolving incident management, on-call practices, and post-incident learning, ensuring systemic improvements over local fixes.
• Lead cross-team initiatives to improve end-to-end reliability, identifying systemic risks and driving their resolution.
• Leverage automation and AI-assisted workflows to accelerate root cause analysis and reduce operational toil at scale.
• Partner with engineering and product leadership to translate observability insights into strategic roadmap decisions.
• Identify trends across system and user signals to proactively detect, prevent, and mitigate large-scale issues.
• Optimize observability platforms for cost, scalability, and long-term sustainability.
• Mentor engineers and raise the reliability and observability maturity across the organization.
• In addition to the responsibilities outlined above, employees may be required to perform other duties as assigned by the Company to ensure operational flexibility and meet evolving business needs.

A Sneak Peek Into Our Tech Stack

AWS, Kubernetes, Terraform, Helm, Ansible, Vault, Datadog and PagerDuty

THE STATS
What we're looking for in our next teammate

• Significant hands-on experience in observability engineering, SRE, platform engineering, or related roles, with a track record of driving impact beyond individual teams.
• Strong expertise in monitoring and observability, with significant hands-on experience in Datadog.
• Experience defining and driving observability or reliability strategy across teams or domains.
• Proficiency with Kubernetes, cloud infrastructure (AWS), and infrastructure-as-code tools (Terraform).
• Proven ability to influence technical direction and decision-making across multiple teams and stakeholders.
• Deep understanding of distributed systems principles (e.g. consistency, availability, partition tolerance) and their real-world trade-offs.
• Experience defining and implementing SLOs, SLIs, and alerting strategies, including user-centric and business-aligned metrics.
• Strong software engineering fundamentals, with proficiency in at least one modern programming language (e.g. Go, Java, Python, or TypeScript), and the ability to design scalable systems, build tooling and automation, and operate effectively within large, complex codebases.
• Experience driving large-scale improvements through automation, reducing organizational toil, and eliminating classes of recurring issues.
• Strong analytical skills, with the ability to translate technical signals into business and customer impact.
• Excellent communication and stakeholder management skills, with the ability to influence both technical and non-technical audiences.
• A mindset of ownership, with a focus on long-term impact, scalability, and continuous improvement.

Don’t check all the boxes? That’s okay! We encourage you to still apply if you feel like you possess an adjacent skill set and are interested in learning more about this position.

ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.  

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.

The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.

FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).

PLAYER BENEFITS
We treat our team right

We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.

FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.

The applicable salary range for this position is $170,000 - $213,000 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.

FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

#LI-Hybrid

THE POSITION
Our roster has an opening with your name on it

FanDuel is looking for a Staff Observability Engineer to design, build, and mature the observability ecosystem that underpins our platform and services. You will deliver deep visibility into system behavior by combining system telemetry with user signals to provide a holistic view of performance, reliability, and user experience. You’ll also explore how AI and machine learning can enhance observability, from intelligent alerting and anomaly detection to accelerating root cause analysis.

This is a hands-on role. You’ll partner closely with engineering and product teams to deliver scalable observability capabilities, serve as a subject matter expert in monitoring, alerting, and incident management, and equip teams with self-service insights and tooling. By connecting system behavior to real user impact and leveraging AI-assisted workflows to surface issues faster, you’ll drive improvements in reliability, performance, and data-informed decision-making across the organization.

In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

THE GAME PLAN
Everyone on our team has a part to play

• Contribute in defining and driving the observability strategy and roadmap across multiple teams, aligning with business priorities and engineering goals.
• Design and improve scalable observability capabilities that provide actionable insights into system health, performance, and user experience.
• Establish and standardize best practices for monitoring, alerting, incident management, and postmortems across the organization.
• Drive operational excellence by evolving incident management, on-call practices, and post-incident learning, ensuring systemic improvements over local fixes.
• Lead cross-team initiatives to improve end-to-end reliability, identifying systemic risks and driving their resolution.
• Leverage automation and AI-assisted workflows to accelerate root cause analysis and reduce operational toil at scale.
• Partner with engineering and product leadership to translate observability insights into strategic roadmap decisions.
• Identify trends across system and user signals to proactively detect, prevent, and mitigate large-scale issues.
• Optimize observability platforms for cost, scalability, and long-term sustainability.
• Mentor engineers and raise the reliability and observability maturity across the organization.
• In addition to the responsibilities outlined above, employees may be required to perform other duties as assigned by the Company to ensure operational flexibility and meet evolving business needs.

A Sneak Peek Into Our Tech Stack

AWS, Kubernetes, Terraform, Helm, Ansible, Vault, Datadog and PagerDuty

THE STATS
What we're looking for in our next teammate

• Significant hands-on experience in observability engineering, SRE, platform engineering, or related roles, with a track record of driving impact beyond individual teams.
• Strong expertise in monitoring and observability, with significant hands-on experience in Datadog.
• Experience defining and driving observability or reliability strategy across teams or domains.
• Proficiency with Kubernetes, cloud infrastructure (AWS), and infrastructure-as-code tools (Terraform).
• Proven ability to influence technical direction and decision-making across multiple teams and stakeholders.
• Deep understanding of distributed systems principles (e.g. consistency, availability, partition tolerance) and their real-world trade-offs.
• Experience defining and implementing SLOs, SLIs, and alerting strategies, including user-centric and business-aligned metrics.
• Strong software engineering fundamentals, with proficiency in at least one modern programming language (e.g. Go, Java, Python, or TypeScript), and the ability to design scalable systems, build tooling and automation, and operate effectively within large, complex codebases.
• Experience driving large-scale improvements through automation, reducing organizational toil, and eliminating classes of recurring issues.
• Strong analytical skills, with the ability to translate technical signals into business and customer impact.
• Excellent communication and stakeholder management skills, with the ability to influence both technical and non-technical audiences.
• A mindset of ownership, with a focus on long-term impact, scalability, and continuous improvement.

Don’t check all the boxes? That’s okay! We encourage you to still apply if you feel like you possess an adjacent skill set and are interested in learning more about this position.

ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.  

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.

The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.

FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).

PLAYER BENEFITS
We treat our team right

We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.

FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.

The applicable salary range for this position is $170,000 - $213,000 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.

FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

#LI-Hybrid

CoreWeave is looking for an experienced Senior Network Engineer to join our rapidly growing Data Center Network Engineering Team. In this role, you’ll play a critical part in designing, deploying, and managing the data center network that powers CoreWeave’s AI, Hyperscale GPU cloud.

What You'll Do

• Quickly adapt to a rapidly changing environment and learn new emerging networking technologies
• Design and deploy consistent large scale networks rapidly, leveraging automation
• Participate in peer reviews, design discussions, and architectural decisions
• Troubleshoot complex problems and support internal and external customers
• Share your knowledge and guide junior team members, fostering a culture of continuous learning and improvement
• Effectively collaborate across teams and areas of expertise

Who You Are

Minimum Qualifications

• 7+ years of experience as a Network Engineer
• Experience managing Hyperscale Clos fabrics
• Networking OS Experience - Cumulus Linux, Sonic, Arista EOS, Junos, Cisco NX-OS
• Expertise with major routing protocols  (BGP, ISIS, OSPF)
• Experience with encapsulation protocols (EVPN/VXLAN or Geneve)
• Experience automating configuration management (Ansible, SaltStack, home grown)
• Familiarity with scripting/programming (Shell, Python)
• Operational experience with Git
• Large scale network design, maintenance, and operations
• Experience leading complex projects as part of a team
• Deep understanding of TCP/IP
• Strong Linux skills

Nice-to-haves:

• College education in Computer Science, Electrical Engineering
• Certifications like CCNA, CCNP, JNCIA
• Experience with Kubernetes and CNIs (Calico, Cilium)

The base salary range for this role is $139,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

Please note that this is a 24/7/365 team. You will be asked to select and rank your preferred shift(s) below.

What You’ll Do:

The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. 

About the Role

As a Bare Metal Support Engineer, you will be responsible for supporting, operating, and maintaining CoreWeave’s extensive GPU fleet across our growing data centers in the U.S., Europe, and beyond. You will work closely with customers, data center technicians, and engineering teams to ensure the reliability, performance, and scalability of our infrastructure. 

In this role, you will: 

• Provide high-level support for customers utilizing bare-metal GPU fleets on CoreWeave Cloud.
  
  
• Diagnose, triage, and investigate reported customer issues and high-priority incidents, identifying root causes and escalating when necessary.
  
  
• Develop a deep understanding of customer workloads and use cases to provide tailored technical support.
  
  
• Coordinate remote troubleshooting and hardware interventions with Data Center Technicians.
  
  
• Create and maintain internal documentation, including troubleshooting guides, best practices, and knowledge base articles.
  
  
• Participate in an on-call rotation to support production clusters and ensure operational reliability.
  
  
• Collaborate with engineering teams to improve hardware reliability, software stability, and system performance.
  
  
• Implement automation and scripting to streamline support workflows and reduce manual interventions.
  
  
• Perform in-depth log analysis and debugging across multiple layers of the stack (firmware, drivers, hardware).
  
  
• Provide feedback to internal teams on common support issues to drive continuous improvements.
  
  
• Work with networking teams to troubleshoot connectivity issues affecting customer workloads.
  
  
• Support supercomputing infrastructure running GPU workloads at scale.
  
  
• Drive operational excellence by refining internal processes and support methodologies.
  
  

Who You Are:

• Experience in data centers, GPU clusters, server deployments, system administration, or hardware troubleshooting.
  
  
• Demonstrated experience driving resolutions and continuous improvements across cross-functional environments and teams within a data center environment.
  
  
• Intermediate knowledge of Linux (Ubuntu, CentOS, or similar), including command-line proficiency.
  
  
• Experience with NVIDIA GPUs, SuperMicro systems, Dell systems, high-performance computing (HPC), and large-scale data center environments.
  
  
• Experience in networking fundamentals (TCP/IP, VLANs, DNS, DHCP) and troubleshooting tools.
  
  
• Hands-on experience with firmware updates, BIOS configurations, and driver management.
  
  
• Experience analyzing system logs and debugging issues across firmware, drivers, and hardware layers.
  
  
• Experience working with Jira, Confluence, Notion, or other issue-tracking and documentation platforms.
  
  
• Experience in scripting and automation (Python, Bash, Ansible, or similar).
  
  

Wondering if you’re a good fit? We believe in investing in our people and value candidates who bring unique backgrounds—even if you don’t check every box. Here are a few qualities we’ve found make someone successful on our team. If some of this describes you, we’d love to talk.

• You’re curious about Kubernetes, Docker, and containerized infrastructure
  
  
• You have strong problem-solving skills with a proactive and analytical mindset.
  
  
• You have excellent communication skills and a demonstrated ability to work collaboratively in a fast-paced environment.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
  
  
• Act Like an Owner
  
  
• Empower Employees
  
  
• Deliver Best-in-Class Client Experiences
  
  
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

The base salary range for this role is $83,000 to $132,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

About the Role:

CoreWeave is seeking a highly skilled and motivated Hardware Engineer, focusing on GPU and PCIe troubleshooting, to join our Hardware Engineering team, reporting to the Hardware Engineering Manager. In this role, you will play a crucial part in the design, development, troubleshooting, and optimization of our server hardware infrastructure. You will collaborate closely with cross-functional teams, external vendors, and stakeholders to ensure the successful delivery of highly performant and reliable hardware solutions.

What You'll Do:

• Troubleshoot complex GPU and PCIe related failures
• Partner with external vendors on failure analysis
• Track component RMAs
• Develop and maintain hardware/firmware management services.
• Automate all aspects of the server hardware lifecycle.
• Serve as the senior point of contact for hardware escalation and troubleshooting.
• Collaborate with cross-functional teams to define hardware requirements, specifications, system architecture and issue identification and resolution playbooks.
• Create and maintain accurate documentation of hardware designs, specifications, test procedures, and results.
• Analyze and optimize the performance of hardware systems, identify bottlenecks, and propose improvements for enhanced efficiency.
• Establish processes for internal hardware testing, deployment, performance optimization and troubleshooting.

Who You Are:

• 2+ years of prior experience supporting and troubleshooting data center class GPUs ( H100 or newer, including Infiniband and NVLink).
• Proficiency in ansible/python and experience with programmatically interacting with server BMCs, using IPMI or Redfish (preferably Redfish).
• Experience using, integrating and automating data center class GPU diagnostics and troubleshooting tools, including observability platforms like prometheus and grafana.
• In-depth knowledge of server hardware, components, and management technologies, particularly GPUs and PCIe devices.
• Proven ability to stay updated with the latest industry technologies and trends.
• Previous experience collaborating with hardware vendors to identify novel issues, generate operational playbooks, create alerts and drive issue resolution to completion
• Strong passion for automation, with a commitment to automating processes comprehensively.
• Excellent documentation skills and attention to detail.
• Strong analytical and problem-solving abilities.

The base salary range for this role is $102,000 to $145,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

What You’ll Do:

CoreWeave is seeking a highly skilled and motivated Infrastructure/Hardware Engineer to join our Hardware Engineering team, reporting to the Hardware Engineering Manager. In this role, you will play a crucial part in the design, development, and optimization of our liquid cooling hardware infrastructure. You will collaborate closely with cross-functional teams, external vendors, and stakeholders to ensure the successful delivery of highly performant and reliable hardware solutions.

About the role:

Responsibilities:

• Develop and maintain hardware/firmware management services.
• Automate all aspects of the liquid cooling hardware lifecycle.
• Collaborate with cross-functional teams to define liquid cooling hardware requirements, specifications, and system architecture.
• Create and maintain accurate documentation of liquid cooling hardware designs, specifications, test procedures, and results.
• Analyze and optimize the performance of liquid cooling hardware systems, identify bottlenecks, and propose improvements for enhanced efficiency.
• Establish processes for internal liquid cooling hardware testing, deployment, and performance optimization.
• Optimize,test, and support rack-level liquid cooling solutions, including in-rack CDU (Coolant Distribution Unit) configurations.
• Work with liquid-to-air sidecars and remote CDUs to manage heat rejection and optimize thermal performance.
• Collaborate with data center facilities teams to integrate liquid cooling systems into broader infrastructure designs.
• Develop and implement monitoring, alerting, and control systems for liquid cooling components (e.g., pumps, valves, flow sensors).
• Interface with server vendors and OEMs to validate compatibility of hardware with liquid-cooled chassis and configurations.

Who You Are:

Must have at least 4 years professional experience:

• Hands-on experience with in-rack CDUs, liquid-to-air heat exchangers, or end-of-row cooling units.
• In-depth knowledge of server hardware, components, and management technologies.
• Strong understanding of data center thermal design principles, including air and liquid cooling fundamentals.
• Familiarity with coolant types, thermal transfer mechanisms, and leak detection/mitigation techniques.
• Proficiency in ansible/python and experience with programmatically interacting with hardware using IPMI, SSH, or Redfish (preferably Redfish).
• Proven ability to collaborate with hardware and facility engineering teams to deliver integrated cooling solutions.
• Strong passion for automation and infrastructure scalability, with a commitment to continuous improvement.
• Excellent documentation skills and attention to detail.
• Strong analytical and problem-solving abilities.

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

The base salary range for this role is $120,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

Metal Net Network Engineer

We are seeking a skilled and driven NVLink Engineer to support large-scale data center deployments. In this role, you'll be at the forefront of cutting-edge infrastructure technologies, ensuring the optimal performance and stability of NVLink systems. You’ll collaborate with global teams and customers, troubleshoot complex issues and help drive operational excellence.

Key Responsibilities:

• Support the deployment of NVLink systems across large data center environments.
• Support the full lifecycle management of NVLink hardware and software components.
• Build and maintain tooling to automate and streamline the deployment, monitoring and troubleshooting workflows.
• Diagnose and resolve performance, connectivity and stability issues in complex environments.
• Collaborate with internal teams and external customers worldwide.
• Participate in a rotating on-call schedule to ensure 24/7 support coverage.
  
  

Required Qualifications:

• Solid understanding of networking fundamentals
• Proven background in troubleshooting network and server hardware at the component level.
• Strong Linux system administration skills.
• Proficiency in at least one language (e.g., Python, Go).
• Proven ability to troubleshoot and debug complex application issues.
• Excellent communication and collaboration skills.
• Experience with Ansible.
  
  

Preferred Qualifications:

• Experience with InfiniBand networking.
• Experience managing large-scale environments (1,000+ switches or nodes).
• Prior experience with NVLink technologies.
• Knowledge of Redfish API for system management.
• Experience with NVUE (NVIDIA User Experience).
• Background with SONiC.
• Experience with Grafana/PromQL

The base salary range for this role is $109,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

Enterprise Engineering (Network) designs and operates every layer of CoreWeave's corporate network, including wired and wireless connectivity, audio visual endpoints, remote access and VPN, and the monitoring, automation, and compliance controls that keep it all running. We treat the network as a product: engineered for observability, security, and reliability, and delivered in close partnership with Security, SRE, and the rest of IT.

About the role:

As a Senior Network Engineer, you'll design and operate the enterprise network while making its state visible and measurable. You'll own runbooks and act as the engineering interface to our NOC, coaching operations staff on diagnostics and root cause analysis. You'll also shape our remote access and VPN services and participate in and lead designs that build in compliance and security from the start.

• Make the network's state visible and measurable through monitoring, telemetry, dashboards, and alerting, with KPIs for availability, performance, and capacity
• Lead runbook creation and maintenance, from routine operations to complex incident response
• Serve as the engineering interface to the NOC, coaching engineers on diagnostics and root cause analysis and mentoring operations staff into more senior roles
• Lead design and evolution of remote access and VPN services across ZTNA, SDP, SSL VPN, and client based approaches
• Design, deploy, and operate the enterprise network across offices, data centers, and remote sites, with repeatable site build patterns
• Lead and participate in design reviews, partnering with Security, SRE, and IT to keep compliance and audit requirements built in
• Act as an escalation point for complex incidents and coach less experienced engineers through pairing, reviews, and documentation

Who You Are: 

• 8+ years of network engineering experience in large scale or rapidly growing environments
• Hands on experience designing and operating enterprise networks across offices, data centers, and remote sites
• Experience leading VPN and remote access design across ZTNA, SDP, SSL VPN, or client based solutions
• Working knowledge of TCP/IP, BGP, OSPF, VLANs, NAT, VPNs, and firewalling
• Experience building network monitoring, telemetry, dashboards, and alerting
• Experience authoring runbooks used by NOC or operations teams
• Troubleshooting experience across Layers 2 through 7

Preferred:

• Experience designing and operating cloud networking in at least one major cloud provider (AWS, Azure, or GCP)
• Experience with network automation and infrastructure as code (Python, Ansible, Terraform)
• Hands on experience with enterprise platforms such as Cisco (SDWan, Enterprise, Wireless), Juniper, HPE / Aruba (Enterprise, Wireless)
• Experience with modern observability stacks (Grafana, Prometheus, ThousandEyes, or equivalent)
• Experience supporting high growth, AI, or HPC environments
• Experience implementing Zero Trust or SASE architectures at scale

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• You love to own outcomes end to end
• You love to level up the engineers around you
• You're curious about how systems fail and how to make them fail less
• You're curious about what other teams need to be successful
• You're an expert in turning operational pain into durable engineering fixes

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

The base salary range for this role is $165,000 to $242,000. The starting salary will be determined by job-related knowledge, skills, experience, and the market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

Role Overview:

As a Production Engineer I/II, you will play a key role in maintaining the reliability and stability of CoreWeave’s cloud infrastructure. You will work closely with the Production Engineer Team Lead and other engineers to support incident response, platform reliability, and operational improvements. This position is ideal for individuals eager to grow their technical skills, contribute to a high-performing team, and make an impact on the operational excellence of CoreWeave’s cloud services.

You will be part of a dynamic team responsible for monitoring the health of our infrastructure, troubleshooting issues, and participating in both day-to-day operational tasks and incident resolution efforts. As you gain experience, you will be guided to take on more complex responsibilities in incident management, process improvement, and system reliability.

Key Responsibilities:

Incident Management & Support:

• Assist in incident response efforts by helping identify and resolve service disruptions quickly, working under the guidance of more senior engineers.
• Help document incidents, assist with root cause analysis (RCA), and support post-incident reviews (PIRs) to identify lessons learned.
• Contribute to the development and maintenance of incident response playbooks to ensure preparedness for various failure scenarios.
• Participate in communication efforts during incidents, updating stakeholders and keeping clear records of incident activities.
  
  

Operational Support & Reliability:

• Monitor system performance and health using tools like Prometheus and Grafana, identifying any performance issues or potential incidents.
• Help implement automation and process improvements to enhance efficiency and reduce manual intervention in incident detection and recovery.
• Support the development of KPIs and SLAs for incident management and ensure alignment with team goals.
• Collaborate with engineers across teams to improve platform reliability, resilience improvements, and disaster recovery.

Team Collaboration & Development:

• Work closely with other engineers to troubleshoot system issues, refine workflows, and support ongoing operational needs.
• Participate in knowledge-sharing activities, helping improve team processes and learning from senior team members.
• Take part in training and mentorship opportunities to build technical skills and grow into more advanced responsibilities within the team.

Required Qualifications:

• 4 years of experience in cloud operations, site reliability engineering (SRE), or related technical roles.
• Understanding of cloud platforms (e.g., Kubernetes, AWS, GCP) and basic knowledge of cloud infrastructure.
• Familiarity with incident management practices and frameworks (e.g., ITIL, SRE best practices).
• Experience with monitoring and alerting tools (e.g., Prometheus, Grafana) or willingness to learn.
• Basic experience with scripting or automation tools (e.g., Python, Bash, Terraform, Ansible).
• Strong communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical team members.
• Ability to work in a fast-paced, high-pressure environment while learning and adapting quickly.

Preferred Qualifications:

• Exposure to Kubernetes, containerization, and distributed systems.
• Familiarity with change management processes and post-incident analysis.
• Experience with automated systems or self-healing infrastructure is a plus.
• A desire to learn and grow in the areas of cloud operations, reliability engineering, and incident management.

If you’re looking for a role where you can build your technical expertise, contribute to impactful work, and grow alongside a supportive team, we’d love to hear from you!

The base salary range for this role is $139,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

What You’ll Do:

The Common Services organization at CoreWeave is responsible for the shared platforms, APIs, and foundational services that power our AI cloud products and internal engineering teams. From authentication and authorization to core platform primitives and developer experience tooling, this organization ensures that the rest of CoreWeave can build, ship, and operate reliably at scale.

As Reliability Lead, Common Services, you will establish and lead the Reliability Engineering and production operations practice for this organization. You’ll partner closely with engineering leaders and teams across Common Services to define how we build, release, monitor, and operate critical services—raising the bar on reliability, availability, and operational excellence across the board.

About the Role:

As Reliability Lead, Common Services, you will be responsible for defining the reliability strategy, processes, and standards for the Common Services portfolio and driving consistent, high-quality operational practices across multiple teams. You’ll monitor production incidents within Common Services, and work directly with your partner teams to design systems that are reliable, observable, and supportable. Your day-to-day will blend hands-on technical work and cross-functional leadership to drive continuous improvement of Common Services production operations.

In this role, you will:

• Establish and lead the SRE / production engineering practice for the Common Services organization, including standards for reliability, incident management, and on-call, in partnership with the central Product Engineering organization.
• Develop an Operational Excellence strategy that focuses on not only improving system performance but also monitoring and reducing operational toil
• Partner with engineering and product teams to define SLOs, SLIs, and error budgets for critical Common Services, and ensure these become part of how teams plan and make tradeoffs.
• Own and improve the incident management lifecycle for Common Services, including on-call rotations, escalation paths, incident tooling, post-incident reviews, and follow-through on corrective actions.
• Drive the observability strategy (metrics, logs, traces, dashboards, alerts) for Common Services, ensuring we have actionable visibility into the health, performance, and capacity of key systems.
• Collaborate with engineering leads to design and review architectures for reliability, scalability, resilience, and operability, including failure modes, redundancy, and graceful degradation.
• Lead efforts to automate and harden operational workflows, including deployments, rollbacks, configuration management, change management, and routine maintenance tasks.
• Build strong, trust-based relationships with partner teams and stakeholders, becoming a go-to leader for production readiness and operational risk within Common Services.
• Hire, mentor, and develop SRE and production engineering talent, fostering a culture of continuous improvement, learning from incidents, and humane on-call.
• Partner with other SRE and production engineering leaders across CoreWeave to align on global practices, tools, and reliability goals, representing the needs and constraints of Common Services.

Who You Are:

• 7+ years of experience in Site Reliability Engineering, Production Engineering, or similar roles working on distributed systems or cloud/platform services.
• 2+ years of technical leadership experience (team lead, staff/principal engineer, or people manager) where you drove reliability and operational improvements across multiple services or teams.
• Strong background in Linux-based production environments, containers, and orchestration technologies (e.g., Kubernetes), including debugging complex issues in live systems.
• Hands-on experience with observability stacks (metrics, logging, tracing) and alerting systems, and a track record of designing meaningful SLIs/SLOs and alert strategies.
• Proven experience running on-call rotations and incident response, including leading high-severity incidents and driving high-quality post-incident reviews.
• Demonstrated ability to design for reliability (capacity planning, redundancy, failover, backoff, circuit breaking, graceful degradation, etc.) in large-scale or mission-critical systems.
• Comfortable working with infrastructure-as-code and automation tooling (e.g., Terraform, Ansible, Helm, CI/CD pipelines) to make operations repeatable, auditable, and safe.
• Strong cross-functional communication skills—you can translate between engineering, product, and business stakeholders and influence without relying solely on authority.
• A bias toward data-driven decision making, using production data, capacity signals, and incident trends to inform priorities and investments.

Preferred:

• Background working with GPU workloads, high-performance computing, or latency/throughput-sensitive systems.
• Experience with multi-tenant, multi-region, or highly regulated environments, and the associated reliability considerations.
• Familiarity with service ownership models and strong opinions on how to align ownership, on-call, and accountability in a scalable way.
• Experience mentoring or managing senior engineers and building high-performing teams through coaching, feedback, and clear expectations.

Wondering if you’re a good fit?

We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.

• You care deeply about operational excellence and see reliability as a product feature, not an afterthought.
• You’re excited by the challenge of bringing order and clarity to complex, rapidly evolving systems.
• You’re passionate about building humane, sustainable on-call practices and learning from incidents without blame.
• You enjoy partnering with multiple teams, influencing through context and clarity rather than authority alone.
• You’re curious about how to run large-scale, GPU-intensive workloads reliably and efficiently in production.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $206,000 to $303,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

What You’ll Do

As a Senior Engineer in Compute Services, you will be responsible for building fault-tolerant and reliable infrastructure to support both our internal processes and our customer platform. If you’re passionate about GitOps, KubeOps, DevOps—really, all the ops—this role could be a great fit for you!

• Design, develop, and maintain automated tooling to provision Kubernetes control planes on bare-metal
• Use Python, Golang, and Bash to create tooling and go operators
• Perform day 2 lifecycle tasks and maintenance on running clusters
• Identify gaps and implement fault-tolerant architectures
• Optimize reliability using the Grafana ecosystem
• Design automated testing to validate build quality and stability
• Participate in an on-call rotation every two months serving as point of contact

Who You Are

Investing in our people is one of our top priorities, and we value candidates who can bring their diversified experiences to our teams. Here are some qualities we’ve found compatible with our team. We'd love to talk about whether this aligns with your experience and interests and what you’re excited to work on next.

• Proven experience provisioning Kubernetes using tools such as kubeadm, Cluster API, Kubeception, Kubespray, or similar
• Demonstrated ability debugging complex kubernetes cluster issues and carrying out upgrades
• Proficiency in Golang, Bash, and Python
• Advanced Linux OS troubleshooting skills
• Extensive experience with Ansible
• Advanced DevOps experience (e.g., GitLab CI, GitHub Actions)
• Demonstrated ability to collaborate effectively on shared codebases
• Excellent documentation skills and high attention to detail
• Strong analytical and problem-solving abilities
• Experience participating in an on-call rotation to support production services

Preferred Qualifications

• Bare-metal OS provisioning experience
• Kubernetes operator coding experience
• Advanced Linux networking expertise
• AWX/Ansible tower knowledge

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! 

The base salary range for this role is $182,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What You’ll Do

We’re seeking a talented and experienced Senior Engineer for Network Observability to join our Network Observability team. In this role, you will be a key player in designing, developing, and maintaining the monitoring, telemetry, and observability systems that keep CoreWeave’s GPU cloud network operating reliably and at scale. You’ll focus on building solutions that provide real-time insights into network performance, ensuring that issues are detected proactively and resolved quickly.

Your mission? To empower CoreWeave’s network with advanced observability: robust metrics, powerful analytics, and automated alerting—so well-tuned that any anomalies become clear before they ever impact our customers.

• Develop, optimize, and maintain network observability platforms. Use your skills in Python and Golang to create and automate collectors, exporters, and dashboards that provide deep visibility into network health and performance.
• Collaborate with Network Engineering and Platform teams to ingest and unify logs, metrics, and events from a variety of platforms (Arista EOS, NVIDIA Cumulus Linux, Nokia SR OS, SR Linux, etc.) into a single observability pipeline.
• Design and implement scalable telemetry solutions using protocols like gNMI, SNMP, and streaming analytics. Ensure advanced alerting and anomaly detection with tools such as Prometheus, Grafana, and Alertmanager.
• Work closely with network developers, site reliability engineers, and security teams to integrate observability solutions across the broader infrastructure. Participate in design discussions, RFCs, and architectural decisions.
• Join a rotating on-call schedule to troubleshoot and resolve observability-related issues. Provide timely support to operations teams, quickly isolating and fixing problems when they arise.
• Guide junior team members, share best practices, and foster a culture of continuous learning and improvement within the observability domain.

Investing in our people is one of our top priorities, and we value candidates who can bring their diversified experiences to our teams. Here are some qualities we’ve found compatible with our team. We'd love to talk about whether this aligns with your experience and interests and what you’re excited to work on next.

Who You Are

Minimum Qualifications

• Deep familiarity with Prometheus, Grafana, Alertmanager, gNMI, and SNMP. Experience writing or extending custom metric collectors/exporters is a plus.
• Experience as a Network Engineer, SRE, Software Developer, or Systems Administrator in large-scale environments. A track record of building and operating robust telemetry and monitoring solutions is a plus.
• Passion for automating tasks and processes. You find satisfaction in creating workflows that handle repetitive tasks and reduce human error to near zero.
• Comfortable containerizing solutions in Kubernetes, designing, building, and deploying container-based workloads efficiently.
• Proficient with Python, Go, and Bash, plus familiarity with configuration management and templating tools (e.g., Ansible, Jinja2). .
• Strong knowledge of Linux systems and IP networking concepts, with hands-on experience in routing, switching, and network troubleshooting.
• Practical knowledge with a variety of platforms, including Arista EOS, NVIDIA Cumulus Linux, Nokia SR OS, and SR Linux.
• Collaborative, humble, and always ready to help others while staying open to learning from more senior colleagues.

Preferred Qualifications

• College Education: Bachelor’s degree in Computer Science or a related field.
• Machine Learning for Anomaly Detection: Hands-on experience applying ML techniques or tools (e.g., TensorFlow, scikit-learn) to proactively detect performance or security anomalies in network traffic.
• Network Certifications: Certifications like CCNA, CCNP, or similar.
• Advanced Metrics & Analytics: Hands-on experience with data pipelines, event correlation, or anomaly detection in large-scale environments.
• Distributed Tracing: Familiarity with OpenTelemetry, Jaeger, or Zipkin for end-to-end tracing across microservices and network components.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

The base salary range for this role is $139,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

What You’ll Do:

We are seeking a Product Manager, Security & Identity to own the roadmap and delivery of CoreWeave’s workforce security and identity platforms across IT Infrastructure and Operations. In this role, you will focus on identity and access management, secure collaboration, endpoint/VDI, and SaaS governance. You will partner closely with IT Engineering, Security, People, and Compliance to make access secure by default, reduce friction in onboarding and offboarding, and improve the overall employee experience.

About the role:

You will translate requirements from Security, Compliance, IT, and business stakeholders into clear product outcomes across platforms such as Okta, Opal, VDI, MDM, Google Workspace, Slack, Zoom, and other SaaS applications. You will help convert the existing Staff IT Systems Engineer responsibilities into scalable, measurable product capabilities that align with the IT Infra and Ops charter.
Own the product vision, strategy, and roadmap for IAM and security-aligned IT infrastructure, including Okta, access governance, endpoint management, and VDI, aligned to IT Infra and Ops priorities.

• Act as a primary product partner and escalation point for Engineering and Security on identity, access, and secure remote access, helping prioritize and resolve high-impact issues.
• Define and improve end-to-end joiner, mover, and leaver flows, ensuring user provisioning, de-provisioning, and access changes are secure, automated, and reliable.
• Establish standards for SSO integrations and app onboarding and offboarding in Okta, working with engineers to onboard new applications, deprecate legacy patterns, and maintain a consistent SSO experience.
• Design and roll out access policies, baseline RBAC, and Just-in-Time and time-bound access patterns in partnership with Security, Compliance, and IT Engineering, with clear controls and auditability.
• Own the VDI and secure remote access experience as a product surface, partnering with engineering on performance, reliability, and hardening, and defining SLIs, SLOs, and incident playbooks.
• Collaborate with Security, People, and IT to define automated onboarding and offboarding processes that cover identity, devices, collaboration tools, and privileged access.
• Define requirements for automation, policies, and scripts using vendor APIs to manage company devices and SaaS services such as Google Workspace, Slack, Zoom, and MDM tools.
• Partner with IT Infra and Ops and Finance to support asset and SaaS lifecycle management, including inventory visibility, licensing utilization, and access governance for endpoints and applications.
• Ensure documentation, runbooks, and training material for IAM, VDI, and related security and IT processes are accurate, accessible, and kept up to date for internal employees and IT staff.
• Build strong relationships with IT Engineering, Security, Compliance, People, and business stakeholders, with clear intake, prioritization, and communication around roadmap, tradeoffs, and delivery.
• Define and track key metrics such as time-to-access for new hires, reduction in access-related tickets, SSO coverage, QAR completion, and control failures, and use these metrics to drive prioritization.
  
  

Who You Are:

• 7+ years of experience in IT product management, technical program management, or systems engineering roles focused on SaaS, identity, security, or endpoint platforms.
• Practical experience with administration or close partnership on platforms such as Okta (Identity Engine and Identity Governance), Google Workspace, Slack, Zoom, MDM or endpoint management tools, and VDI solutions.
• Strong understanding of identity and access management concepts and practices, including SSO, federation, RBAC, joiner and leaver lifecycle, privileged access, and quarterly access reviews.
• Experience collaborating with or supporting Microsoft, Linux, and Mac user environments, especially for secure access, device management, and productivity tooling.
• Demonstrated experience defining and driving automation workflows and integrations that remove manual IT and security tasks, such as access provisioning, group management, and device or SaaS lifecycle actions.
• Familiarity with CI or CD tools and Git, and the ability to work closely with engineers on configuration, releases, and environment management.
• Comfort working with at least one programming or scripting language, such as Python or Go, at a level sufficient to understand implementation options and tradeoffs.
• Experience partnering with Security and Compliance on access controls, ITGCs, and IT application controls for frameworks such as SOX or SOC 2, including control design and evidence collection.
• Strong written and verbal communication skills, with the ability to translate technical and security concepts into clear product narratives and decisions for both technical and non-technical audiences.

Preferred:

• Experience in high-growth, cloud-native, or security-sensitive environments where identity, access, and endpoint posture are tightly linked to customer and compliance expectations.
• Prior ownership of IAM or security products such as Okta, Opal, CyberArk, VDI, or device management platforms as a product manager or TPM.
• Familiarity with automation and infrastructure-as-code tooling such as Terraform, Ansible, Chef, Intune, Jamf, or similar technologies.
• Experience contributing to or leading M&A-related migrations involving identity consolidation, SSO rationalization, or access model redesign.
• Exposure to AI or agent-based IT support models and interest in using them to reduce IT ticket volume and improve time to resolution.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

The base salary range for this role is $143,000 to $210,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

At CoreWeave, we don’t box people into rigid job titles—we look for exceptional engineers and match them to the work that excites them most. Instead of measuring you against a narrow checklist of qualifications, we hire based on broad technical domains and use our interview process to determine where you’ll have the biggest impact.

Tell us what interests you most, and throughout the hiring process, we’ll get a sense of your strengths, expertise, and aspirations. If you join CoreWeave, you’ll land on the team where you can do your best work—driving innovation, solving complex problems, and shaping the future of cloud computing.

What You’ll Do:

At CoreWeave, infrastructure isn’t just a foundation, it’s a product. We build scalable, high-performance computing systems that power the largest AI workloads in the world. We’re looking for Engineers that thrive at the intersection of software and systems, deploying and managing large scale bare metal compute.

Within this domain, you’ll design and build software that manages complex infrastructure across globally distributed datacenters. Working in Go, Python/Ansible, deep in Linux environments, observability/monitoring stacks, and leveraging technologies like gRPC and Kubernetes CRDs/Controllers/Operators. Whether you’re automating bare metal, building fleet lifecycle management services, solving multi-layer integration challenges, or observing our globally distributed fleet, your work will be critical to the company's delivery of reliable and efficient infrastructure.

You’ll join a high-performing, communicative, and supportive team, solving complex problems at hyperscale, deploying purpose built AI across the world. 

About the role:

• Design and implement solutions to problems of scale for multi-site deployment and management of CoreWeave’s global server hardware fleet.
• Build and maintain backend services and APIs (gRPC/REST) in Go or Python to interact with Kubernetes and other infrastructure systems.
• Develop provisioning services, automation workflows, and fleet management tools that span from bare metal to container orchestration.
• Write and maintain Kubernetes custom controllers and operators to automate infrastructure behavior.
• Design and implement observability solutions for large-scale server monitoring to improve system stability and insight.
• Adapt and extend open source tooling to enhance visibility into system metrics, performance, and health.
• Create test plans, deployment automation, dashboards, alerts, and insights into our fleet operations.
• Resolve integration challenges across the entire infrastructure stack, from data center hardware to orchestration platforms.
• Participate in an on-call rotation.

Investing in our people is one of our top priorities, and we value candidates who can bring their diversified experiences to our teams. Here are some qualities we’ve found compatible with our team. We'd love to talk about whether this aligns with your experience and interests and what you’re excited to work on next.

Who You Are

Minimum Qualifications

• 5+ years of experience in software or infrastructure engineering.
• Proficiency in Go and/or Python software development.
• Familiarity with CI/CD tools like Argo, Flux, and GitHub Actions.
• Strong understanding of Linux internals.

Preferred Qualifications

• Experience designing, implementing, and monitoring Kubernetes operators for custom resource definitions.
• Experience with infrastructure automation and configuration management tools like Ansible, Puppet, Chef, Salt.
• Experience with distributed cloud computing principles, including testing strategies, observability, error budgets, and fault-tolerant design.
• Experience implementing metrics pipelines, custom alerts, and monitoring strategies.
• Ability to break down complex problems into achievable tasks and collaborate with teammates to execute them.
• Willingness and ability to thrive in a fast-paced startup environment.

Examples of teams you might join at CoreWeave

Fleet Provisioning Automation: Automation is key to delivering reliable GPU compute to clients. On this team you’ll write Go microservices and extend Kubernetes custom resources and operators to deliver and monitor cutting-edge computing platforms. Ensuring new compute hardware is ready to deploy, and monitor existing hardware across our growing datacenter footprint. 

Fleet Monitoring & Analysis: Our customers's AI workloads push our physical infrastructure to the limit. This team is solving our fleet monitoring, visibility and self-healing problems at scale. We develop, collect and correlate metrics to engineer observability solutions, utilizing technologies like Go, Prometheus, Grafana, and Kubernetes.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

The base pay for this position range from $139,000 to $242,000 accordingly. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. This position includes a discretionary bonus, equity, and a comprehensive benefits package.

What You’ll Do

We’re seeking a talented and experienced Senior Engineer for Network Observability to join our Network Observability team. In this role, you will be a key player in designing, developing, and maintaining the monitoring, telemetry, and observability systems that keep CoreWeave’s GPU cloud network operating reliably and at scale. You’ll focus on building solutions that provide real-time insights into network performance, ensuring that issues are detected proactively and resolved quickly.

Your mission? To empower CoreWeave’s network with advanced observability: robust metrics, powerful analytics, and automated alerting—so well-tuned that any anomalies become clear before they ever impact our customers.

• Develop, optimize, and maintain network observability platforms. Use your skills in Python and Golang to create and automate collectors, exporters, and dashboards that provide deep visibility into network health and performance.
• Collaborate with Network Engineering and Platform teams to ingest and unify logs, metrics, and events from a variety of platforms (Arista EOS, NVIDIA Cumulus Linux, Nokia SR OS, SR Linux, etc.) into a single observability pipeline.
• Design and implement scalable telemetry solutions using protocols like gNMI, SNMP, and streaming analytics. Ensure advanced alerting and anomaly detection with tools such as Prometheus, Grafana, and Alertmanager.
• Work closely with network developers, site reliability engineers, and security teams to integrate observability solutions across the broader infrastructure. Participate in design discussions, RFCs, and architectural decisions.
• Join a rotating on-call schedule to troubleshoot and resolve observability-related issues. Provide timely support to operations teams, quickly isolating and fixing problems when they arise.
• Guide junior team members, share best practices, and foster a culture of continuous learning and improvement within the observability domain.

Investing in our people is one of our top priorities, and we value candidates who can bring their diversified experiences to our teams. Here are some qualities we’ve found compatible with our team. We'd love to talk about whether this aligns with your experience and interests and what you’re excited to work on next.

Who You Are

Minimum Qualifications

• Deep familiarity with Prometheus, Grafana, Alertmanager, gNMI, and SNMP. Experience writing or extending custom metric collectors/exporters is a plus.
• Experience as a Network Engineer, SRE, Software Developer, or Systems Administrator in large-scale environments. A track record of building and operating robust telemetry and monitoring solutions is a plus.
• Passion for automating tasks and processes. You find satisfaction in creating workflows that handle repetitive tasks and reduce human error to near zero.
• Comfortable containerizing solutions in Kubernetes, designing, building, and deploying container-based workloads efficiently.
• Proficient with Python, Go, and Bash, plus familiarity with configuration management and templating tools (e.g., Ansible, Jinja2). .
• Strong knowledge of Linux systems and IP networking concepts, with hands-on experience in routing, switching, and network troubleshooting.
• Practical knowledge with a variety of platforms, including Arista EOS, NVIDIA Cumulus Linux, Nokia SR OS, and SR Linux.
• Collaborative, humble, and always ready to help others while staying open to learning from more senior colleagues.

Preferred Qualifications

• College Education: Bachelor’s degree in Computer Science or a related field.
• Machine Learning for Anomaly Detection: Hands-on experience applying ML techniques or tools (e.g., TensorFlow, scikit-learn) to proactively detect performance or security anomalies in network traffic.
• Network Certifications: Certifications like CCNA, CCNP, or similar.
• Advanced Metrics & Analytics: Hands-on experience with data pipelines, event correlation, or anomaly detection in large-scale environments.
• Distributed Tracing: Familiarity with OpenTelemetry, Jaeger, or Zipkin for end-to-end tracing across microservices and network components.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

To fulfil our obligation to protect client data, successful applicants offered employment with CoreWeave will be required to complete a basic criminal record check, conducted in compliance with GDPR. Employment offers are conditional upon receiving satisfactory check results

Datadog’s Implementation Services team helps customers implement and deploy Datadog quickly. Our team of architects leads the discovery, design, build, and launch of the Datadog platform to help customers accelerate time to value and get the most out of their investment. As a member of our team, you will be responsible for developing the technical roadmap for a customer’s implementation, and leading them through it every step of the way.   

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Design and guide execution of Datadog implementations, including gathering requirements, building technical architecture, and supporting deployment and launch
• Guide customer onboarding through co-development working sessions and assist when they run into roadblocks
• Write automation and design architecture for deployment templates 
• Manage the operation of implementation projects 
• Collaborate with other teams, including Customer Success, Technical Account Management, and Sales to deliver an exceptional onboarding experience

Who You Are:

• Experience designing and delivering technical solutions for DevOps Monitoring or architecture systems
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and compute technologies (EC2, serverless, VMware, VMs, Docker, Kubernetes).
• Experience with Config Management, IAC and CI/CD tools, including Ansible, Puppet, Terraform, Chef, Jenkins, Circle CI, GitHub Actions, Azure Pipelines, etc…
• Experience programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and .NET etc
• Background in security operations, including SOC management, SIEM tooling (e.g. Splunk Professional Services), and designing or supporting zero-trust networking architectures
• Successful track record with 5+ years experience as an Architect or Consultant in a professional services team
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 30% of the time

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Flow Traders is looking for an experienced Engineer who can elevate our GCP‑focused platform-especially GKE-while maintaining strong Linux and networking fundamentals. Our trading platforms span both ultra‑low‑latency bare‑metal systems and modern cloud‑native services. This role bridges on‑prem and cloud environments, strengthens global platform standards, and drives high‑impact improvements that enhance reliability, reduce toil, and support time‑sensitive trading workloads.

What you will do

• Serve as the US‑based SME for our GCP platform with a strong focus on GKE workloads—working within globally aligned standards while contributing your own expertise to improve Terraform‑driven infrastructure and shape cloud architecture across regions
• Identify and drive engineering improvements by researching pain points, reducing toil, and delivering high‑impact solutions across our cloud and trading infrastructure.
• Leverage automation and IaC to manage and optimize Linux and Kubernetes environments spanning bare‑metal, virtualized, and cloud‑native systems—streamlining workflows and reducing operational friction.
• Strengthen platform reliability by improving global monitoring and alerting frameworks, incorporating adaptive and self‑healing mechanisms to elevate operational responsiveness.
• Act as a senior escalation point for complex Linux/Kubernetes/Cloud issues, participating in on‑call and ensuring thorough, well‑reasoned incident resolution.
• Provide regional technical leadership while collaborating with global stakeholders to define and implement platform standards, architectures, and large‑scale initiatives.
• Use AI‑assisted engineering tools to accelerate analysis, troubleshooting, documentation, and operational automation.

What you need to succeed

• 7–10+ years operating complex production environments spanning Linux, Kubernetes, and cloud‑native infrastructure.
• Deep Cloud experience, preferably within GKE or an equivalent stack (cluster ops, workload orchestration, networking, security, observability).
• Strong Terraform expertise for provisioning and managing secure, scalable infrastructure.
• Solid Linux fundamentals — performance tuning, debugging, networking, virtualization, and bare‑metal experience.
• Strong scripting skills in Python and Bash for automation, tooling, and operational workflows.
• Experience with Kafka or similar streaming/data‑pipeline technologies.
• Knowledge of Puppet/Ansible for configuration management and Foreman/Satellite for lifecycle and host management.
• Practical understanding of monitoring/observability (Prometheus/Grafana or similar) and modern alerting strategies.
• Strong Git‑centric workflows and comfort with modern CI/CD practices.
• Ability to lead and influence technical direction at a regional level while collaborating effectively with global colleagues.
• An entrepreneurial mindset — proactively identifying gaps, reducing toil, and driving self‑directed engineering improvements.

#LI-MM1

At Flow Traders, we acknowledge the importance of open and transparent communication whether it be with our employees, our stakeholders, or our local and global communities. When it comes to salary, Flow Traders uses reliable market research to create base ranges. Where candidates will fall within the range depends on a few different factors including but not limited to level of experience, location, and specific skill set. We also consider ourselves one global team, and to demonstrate that, all employees are eligible to share in the company’s success through an annual discretionary variable remuneration allocated based on company, group and individual performance and contribution. 

Per NYC salary transparency law, the total compensation for this role includes a base range of $190,000 to $235,000 plus annual discretionary variable remuneration.

Flow Traders does not accept unsolicited resumes from any professional staffing or search firms. All resumes, and any other information identifying potential candidates, submitted to any employee at Flow Traders via-email, the Internet or directly without a valid and signed search agreement will be deemed free to contact by Flow Traders without any restrictions and no placement fee of any kind will be paid in the event the candidate is hired by Flow Traders.

Expert Solutions Architect

At Ensono, our Purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things!  We enable our clients to achieve key business outcomes that reshape how our world runs. As an expert technology adviser and managed service provider with cross-platform certifications, Ensono empowers our clients to keep up with continuous change and embrace innovation.

We can Do Great Things because we have great Associates. The Ensono Core Values unify our diverse talents and are woven into how we do business. These five traits are the key to achieving our purpose:

Honesty, Reliability, Curiosity, Collaboration, and Passion.

About the role and what you'll be doing: 

We are seeking an experienced Solution Architect with deep expertise in AWS, Nutanix on AWS (NC2), and enterprise security and observability Solutions to design, build, and modernize scalable, secure cloud and hybrid Solutions.

This role plays a critical part in migrating workloads from on‑premises data centers to AWS, enabling standardized cloud Solutions, and integrating automation, security, and monitoring capabilities. You will partner with infrastructure, application, security, and operations teams to deliver resilient, compliant, and cost‑optimized solutions at enterprise scale.

We want all new Associates to succeed in their roles at Ensono. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all Required Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply. 

Key Responsibilities

Solution Architecture & Design

• Architect enterprise‑grade cloud and hybrid Solutions using AWS and Nutanix on AWS (NC2)
• Define cloud landing zones, reference architectures, and Solution standards
• Design highly available, scalable, and fault‑tolerant solutions aligned with business and compliance requirements
• Evaluate and recommend Solution tools, services, and technologies

Cloud Migration (On‑Premises to AWS)

• Lead architecture and design for on‑premises data center migrations to AWS, including hybrid and phased approaches
• Support migrations using Nutanix on AWS (NC2) as a transition or steady‑state Solution
• Define migration patterns (lift‑and‑shift, re‑Solution, hybrid) and cutover strategies
• Partner with application and infrastructure teams to minimize risk and downtime

AWS & Nutanix (NC2) Engineering

• Design and implement Nutanix Cloud Solution (AOS, AHV, Prism) running on AWS
• Architect networking and connectivity across on‑prem, AWS, and NC2 environments (VPCs, Transit Gateway, VPN, Direct Connect)
• Support workload placement and performance optimization across Solutions

Automation, Configuration & CI/CD

• Enable Solution automation and configuration management using Harness
• Drive infrastructure‑as‑code and configuration standards using Terraform, CloudFormation, and Ansible
• Integrate CI/CD pipelines for Solution and infrastructure deployments
• Promote repeatable, version‑controlled Solution builds

Security, Identity & Access Management

• Design and implement AWS IAM strategies including roles, policies, least‑privilege access, and federation
• Integrate CyberArk for privileged access management
• Implement endpoint and workload protection using CrowdStrike
• Ensure security best practices across cloud and hybrid Solutions

Observability, Logging & Operations

• Design and integrate centralized logging, monitoring, and observability using Splunk and AWS‑native services
• Define operational monitoring, alerting, and incident response patterns
• Support SRE and operations teams with reliable and observable Solutions

Governance, Risk & Compliance

• Establish cloud governance, guardrails, and compliance controls
• Ensure Solution designs meet security, audit, and regulatory requirements
• Support DR, backup, and business continuity architecture

Collaboration & Technical Leadership

• Act as a trusted technical advisor to stakeholders, engineers, and leadership
• Provide guidance and mentorship to Solution and cloud engineering teams
• Contribute to architectural roadmaps, standards, and best practices

Required Skills & Experience

• You will need to be in 2-4 hours’ drive distance from Boston, MA, Princeton, NJ or Downers Grove IL.  Not for a daily commute but occasional office visits.
• 7+ years of experience in infrastructure, cloud, or Solution architecture
• Strong hands‑on experience with AWS (EC2, VPC, IAM, S3, RDS, EKS, Transit Gateway, Direct Connect)
• Proven experience with Nutanix on AWS (NC2) and Nutanix Solution components
• Hands‑on experience migrating workloads from on‑premises environments to AWS
• Experience with Terraform, Harness for configuration management and CI/CD
• Strong understanding of IAM, security tooling, and enterprise controls
• Experience integrating Splunk, CyberArk, and CrowdStrike
• Solid background in hybrid networking and enterprise infrastructure
• The ability to work some nights and weekends for migration projects.

Preferred Qualifications

• AWS Certified Solutions Architect (Associate or Professional)
• Nutanix certifications (NCP, NCM, or equivalent)
• Experience with Windows and Linux Solutions
• Background in large‑scale enterprise or regulated environments
• Consulting or Managed Services experience

Why Ensono?

Ensono is a place to make better happen – for our clients and for your career. You can do great things through innovation or collaboration, by learning or volunteering, or to promote diversity and inclusion. You can do great things for your own health or for a healthier planet. Whatever it means to you to do great things we want Ensono to be the place you can do it. 

We are a client-facing business, but we do encourage clients to allow us to work remotely most of the time so if you are not required to be on a client site, you can choose to work from home or in our Ensono offices.

Some of our benefits include:

• Unlimited Paid Days Off
• Three health plan options
• 401k with company match
• Eligibility for dental, vision, short and long-term disability, life and AD&D coverage, and flexible spending accounts
• Family Forming Benefit including fertility coverage and adoption/surrogacy reimbursement
• Paid childbearing and paternal leave
• Education Reimbursement, Student Loan Assistance or 529 College Funding
• Sabbatical leave
• Wellness program
• Flexible work schedule

As of the date of this posting, a good faith estimate of the current pay scale for this role is $151,000 to $204,000 annually based on a full-time schedule. Please note that placement in the range may vary based on numerous factors including but not limited to skills, experience, internal equity, and business needs. In addition to base salary, other compensation programs, depending on eligibility, include an annual bonus plan based on company and individual performance, and an equity grant under our Associate Equity Appreciation Program.

Ensono is an Equal Opportunity/Affirmative Action employer. We are committed to providing equal employment to our Associates and building a diverse and inclusive workforce. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or other legally protected basis, in accordance with applicable law.

Pay transparency nondiscrimination statement/posting OFCCP’s pay transparency policy can be found on OFCCP’s website.

If you need accommodation at any point during the application or interview process, please let your recruiter know or email USTalentAcquisition@ensono.com.

About the position

You are a strong software engineer who enjoys building infrastructure systems through code. You’re drawn to solving complex problems, especially in environments working with 3D data, computer vision, and machine learning. You like building internal tools that make other engineers more effective, and you believe simple solutions to hard problems are the best ones. You’re comfortable operating in a space that evolves quickly.

The Infrastructure team builds the platform that sits beneath Hover’s application layer. The rest of engineering is our customer. Through software and automation, we make the fastest path also the most reliable and secure. We design and build systems that power our Kubernetes platform, cloud infrastructure, and deployment workflows, partnering across engineering to solve challenges around geospatial and ML workloads. This is not a traditional DevOps or SRE role. We treat infrastructure as a software engineering problem, building systems and tooling that eliminate manual work and help engineers move faster.

You will contribute by

As a Senior Software Engineer on our Infrastructure team, you will help us build boring solutions to interesting problems while improving the platform engineers rely on. You’ll work closely with teams across Hover to make applications easier to build, deploy, and operate. You’ll collaborate with backend, frontend, ML, CV, data, and security engineers to bring ideas to production at scale.

In this role, you’ll design and build platform capabilities that standardize how services run, improve deployment workflows, and simplify infrastructure usage. This includes developing tooling, automating infrastructure, and improving reliability, observability, and cost efficiency. Your work focuses on building systems, not manually operating them, and will directly improve developer experience across the company.

Your background includes

• 5–8+ years of professional software engineering experience, with meaningful time spent building infrastructure, platform, or distributed systems
• Strong software engineering fundamentals with production experience in Go, Python, or Ruby
• Experience building or working with systems on Kubernetes, beyond simply deploying applications
• Experience working with containerized systems such as Docker
• Experience building or using Infrastructure as Code tools such as Terraform (or similar tools like Ansible or Chef)
• Experience working with cloud platforms such as GCP or AWS, with willingness to learn or deepen expertise in GCP
• A systems-oriented mindset; you think about reliability, observability, failure modes, and scalability when designing systems
• Experience collaborating with engineers across teams to build platform capabilities or improve developer experience
• Comfort working across multiple layers of the infrastructure stack and learning new tools and technologies as the platform evolves

Benefits

• Compensation - Competitive salary and meaningful equity in a fast-growing company
• Healthcare - Comprehensive medical, dental, and vision coverage for you and dependents
• Paid Time Off - Unlimited and flexible vacation policy 
• Paid Family Leave - We support work/life balance and offer generous paid parental and new child bonding leave 
• Mandatory Self-Care Days - A day set aside each month to allow employees to recharge 
• Remote Wellbeing Resources - We provide recurring fitness classes, meditation/ mindfulness tools, virtual therapy, and family planning assistance 
• Learning - We encourage continued education and will help cover the cost of management training, conferences, workshops, or certifications

Hybrid roles at Hover

Hover has Hubs in San Francisco and New York City, where we expect that all employees living within a 50-mile radius of our offices will come into their local Hover office at least three times a week to build rapport and foster organic connection. At this time, Hover is not considering fully remote roles.

The US base salary range for this full-time position is $194,000 - $239,000 annually. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all applicable US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

#LI-JN1 #LI-Hybrid

We are seeking an accomplished Executive Director of IT Operations to provide senior operational leadership and hands-on technical expertise for our enterprise IT infrastructure and end-user services organization. This role reports to the VP of IT & Security and manages both the Director of Infrastructure Operations and ServiceDesk/Desktop Support operations while maintaining deep technical involvement in complex implementations and serving as the subject matter expert across our technology stack. The ideal candidate combines proven leadership capabilities with advanced technical skills, providing strategic planning, operational reporting, and direct technical execution for critical infrastructure initiatives while ensuring exceptional end-user service delivery.

ROLE AND RESPONSIBILITIES:

Organizational Scope & Direct Oversight

• Infrastructure Operations and End-User Services Leadership
• Direct management of Director of Infrastructure Operations and the manager of desktop support services.
• Operational oversight of Senior Systems Administrators, Network Engineers, and technical infrastructure staff
• Strategic coordination with infrastructure teams across Linux/Windows, Virtualization platforms such as VMware, storage, networking, and cloud platforms
• Technical mentorship for infrastructure professionals and career development planning
• Oversight of infrastructure Tier 1/2/3 support operations and escalation processes
• Demonstrated understanding of ITSM ticketing platform for incident, problem, and request management. ServiceNow experience preferable.
• Strategic planning for end-user experience improvement and support optimization
• Ensure all systems are patched and secured in accordance with company policy, servers, laptops, and network equipment

Strategic Planning & Operational Reporting

• Develop comprehensive operational plans, technology roadmaps, and capacity planning strategies for infrastructure and service delivery organizations
• Create detailed project plans, resource allocation strategies, and timeline management for major infrastructure and service delivery initiatives
• Generate executive-level reporting on infrastructure performance, service desk metrics, project status, and operational KPIs for VP leadership
• Coordinate budget planning, resource forecasting, and capital expenditure recommendations across infrastructure and end-user services
• Lead infrastructure architecture planning and technology standardization initiatives

Hands-On Technical Leadership & Implementation

• Personally lead complex technical implementations including major infrastructure upgrades, migrations, and architectural changes
• Serve as escalation point for critical technical issues requiring advanced expertise across multiple technology domains
• Conduct advanced troubleshooting and resolution for complex infrastructure problems spanning multiple platforms
• Design and implement enterprise-level solutions including virtualization clusters, storage architectures, and network infrastructures
• Lead proof-of-concept development and technical evaluation of new technologies and platforms
• Provide hands-on technical guidance during critical maintenance windows and emergency response situations

DESIRED QUALIFICATIONS:

Technology Stack Subject Matter Expertise

• Enterprise Infrastructure Platforms: Expert-level knowledge of virtualization (VMware vSphere, KVM), enterprise storage (SAN/NAS), Object based storage, Cisco switches, fiber channel switches, Load Balancers, Firewalls, and overall network architecture serving as foundation for all service.
• Data Centers: Primary contact for our collocation data centers day to day operations.  Hands on installation of technology during expansion and refresh projects. Capacity planning, Circuit inventory, IPAM and connectivity between data centers and branch offices.
• Container Platforms & Cloud-Native Architecture: Expert-level knowledge of on-premises Kubernetes platforms, container orchestration, microservices architectures, networking (CNI), storage (CSI), security contexts, RBAC, network policies, admission controllers, and multi-tenancy patterns. Experience building Kubernetes as an internal platform service for development teams.
• Compliance-Driven Infrastructure: Familiarity with NIST 800-53 Rev 5 controls and NIST SP 800-190 container security guidance; practical experience implementing compliance requirements in containerized environments; familiarity with CMMC Level 2 requirements and government contract security obligations
• Operating Systems: Microsoft Windows Server current versions, Active Directory design, support and GPO’s, Advanced expertise in Linux (RHEL, CentOS, Ubuntu)
• DevSecOps & CI/CD Security: Experience working with the security team to help design and secure CI/CD pipelines. Working to integrate security controls including remediation of the results from the security teams container image scanning, vulnerability management, and policy-as-code enforcement
• Automation and Infrastructure-as-Code: Deep technical knowledge of Terraform, Ansible, GitOps workflows, and automation frameworks for declarative infrastructure management
• Understanding of network segmentation, VLAN’s, routing , ACL’s, Illumio Micro segmentation, service mesh implementations (Istio, Linkerd), mutual TLS, and identity-aware access controls for containerized environments
• Observability and Monitoring: Expert knowledge of observability platforms including Prometheus/Grafana for infrastructure metrics and AppDynamics for application performance monitoring, ability to interpret metrics, define dashboard requirements, and collaborate with platform teams on monitoring strategies
• Endpoint Management: Knowledge of modern endpoint management solutions including SCCM, Intune, Autopilot for desktop deployment automation
• Service Delivery: Understanding of ITIL frameworks, service desk operations, and end-user support best practices
• Emerging Technologies: Technical evaluation and implementation of new platforms and architectural patterns in compliance-constrained environments
• Cloud Technologies: We are an on-premise environment, however, experience with AWS, Azure, Google Cloud platforms primarily for architectural reference and hybrid patterns
• Networking: Advanced knowledge of enterprise networking, software-defined networking, service mesh architectures (Istio, Linkerd), and zero-trust network design for containerized workloads
• Database Systems: Experience supporting database teams using enterprise database platforms (SQL Server, PostgreSQL, MySQL) including containerized database operations and persistent storage strategies. Backup and recovery.
• ITSM Platforms: Deep experience with ticketing platform capabilities including incident management, problem management, change management, and service catalog workflows; ability to define operational requirements and request platform enhancements and KPI’s

Education & Professional Experience

• Bachelor's degree in Engineering, Computer Science, Information Technology, or related technical field
• 12+ years of progressive experience in enterprise infrastructure management and technical leadership
• 5+ years of senior management experience.
• Proven track record leading large-scale infrastructure transformation and modernization projects
• 3+ years of experience managing service desk or end-user support operations in enterprise environments

Leadership & Management Skills

• Proven ability to lead technical teams while maintaining hands-on technical involvement
• Strong project management capabilities with PMP certification or equivalent experience
• Excellent communication skills for both technical teams and executive leadership
• Experience with vendor management, contract negotiation, and strategic technology partnerships
• Ability to balance strategic planning responsibilities with operational execution and technical implementation

Technical Certifications (Multiple Required)

• Virtualization: VMware VCP-DCV, VCAP-DCA, or equivalent advanced certifications
• Cloud Platforms: AWS Solutions Architect Professional, Azure Solutions Architect Expert, or Google Cloud Professional (for architectural reference)
• Project Management: PMP, Prince2, or equivalent project management certifications a plus
• ITIL: ITIL Expert or equivalent service management certifications a plus

*The salary range reflected is a good faith estimate of base pay for the primary location of the position. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay for this position is up to $200,000.00 annually. Pay varies by work location and may also depend on job -related knowledge, skills, experience and abilities of the successful candidate. Your recruiter can share more about the specific salary range for the job location during the hiring process.

To learn more about our company and other opportunities visit us at www.mettel.net

Keywords: IT Infrastructure, IT Operations, New York Jobs, IT Jobs, Indeed, LinkedIn, Google, Lever, #ITInfrastructure, #ITOperations, #NewYorkJobs, #ITJobs, #Indeed, #LinkedIn, #Google, #Lever, #Ladders, Information Technology Operations, IT Management, Information Technology Infrastructure, Global IT Program Manager, Global IT Operations

As a Senior DevOps Engineer, you will be a critical member of our infrastructure team based in New York, providing earlier-hours coverage and support for our cloud-based platform as we scale into a multi-shard environment. You will work closely with software engineers to deploy code at scale, drive SRE practices, and lead infrastructure reliability, observability, and security initiatives.

This is a high-visibility, highly independent role that requires strong ownership. You will be instrumental in expanding our logging, monitoring, and observability tooling, and will also play a key part in setting up our Google Cloud Platform (GCP) infrastructure as we expand our AI capabilities.

This role requires 3 days in-office (Tuesday, Wednesday, Thursday).

What you’ll Do

• Provide infrastructure support and on-call coverage from New York, ensuring east-coast availability during early business hours.
• Manage and scale our multi-shard AWS environment, maintaining high availability, performance, and security.
• Own SRE responsibilities: incident response, reliability engineering, and improving system uptime and resilience.
• Build and expand logging, monitoring, alerting, and observability tooling across our cloud infrastructure.
• Work with engineering teams to ensure new features are deployed quickly, safely, and easily.
• Spearhead network security and compliance initiatives, implementing fine-grained access controls.
• Lead the setup and configuration of GCP infrastructure, including permissions, IAM, and AI platform services (Gemini Enterprise Agent Platform / Vertex AI).
• Design and implement automation and configuration management to streamline deployment processes.

Who you are

• A self-starter comfortable working independently in a remote/New York setting, with strong ownership of your domain.
• Passionate about automation, observability, and building reliable, scalable systems.
• Experienced with SRE practices — you think about reliability, error budgets, and scalability proactively.
• A clear communicator who works well across engineering teams and time zones.
• Excited by multi-shard architectures and the infrastructure challenges that come with them.

Qualifications

• B.S. in Computer Science or equivalent experience.
• 8+ years of DevOps/SRE experience in a production environment.
• Deep experience deploying and managing infrastructure on Amazon Web Services (EC2, S3, RDS, EKS, Opensearch  and related services).
• Strong understanding of networking fundamentals, Linux systems administration, and modern web architectures (HTTP, REST).
• Proficiency in shell scripting and at least one scripting language (Python, Ruby, etc.).
• Hands-on experience building and maintaining logging, monitoring, alerting, and observability systems.

Nice to haves

• Experience with Google Cloud Platform (GCP) — particularly IAM, networking, and managed services.
• Familiarity with Gemini Enterprise Agent Platform or Vertex AI infrastructure setup.
• Experience scaling infrastructure to support AI/ML workloads.
• Database administration experience (PostgreSQL, MySQL, or similar).
• Experience with automation and configuration management tools such as Ansible, Chef, or Puppet.
• Experience with multi-shard or multi-tenant SaaS architectures.

The Perks & Culture:

• Medical, dental, and vision insurance.
• Health Savings Account (HSA) & Flexible Spending Account (FSA) options.
• 401(k) retirement plan.
• Paid Parental Leave.
• Flexible Time Off (FTO) policy.
• Commuter benefits program.
• Monthly wellness reimbursement to support physical and mental well-being.
• Hybrid Work Policy.
• Base salary range: $170,000–$186,000. This position is also eligible for Dealpath's equity plan.
• Your compensation will be based upon several factors including your experience, qualifications, education, location, and the skills assessed in Dealpath's interview process. Your actual compensation will be confirmed in writing at the time of offer.
• Dealpath's compensation ranges are determined by current market data, so compensation data posted on our job posts may change as new market data becomes. 

About Dealpath

Dealpath is the world's largest and most trusted AI-powered operating system for real estate investing. To date, the platform has powered more than $10 trillion in transactions, partnering with hundreds of firms, including leading global institutions such as Blackstone, Nuveen, LaSalle, CBRE IM, MetLife, Newmark, Oxford Properties, New York Life, UBS, Manulife, DWS, and Principal.

By bringing together the only private exchange for institutional real estate listings, investment data, and intelligent execution workflows into a single platform, Dealpath enables firms to capture more opportunities, make faster decisions, execute efficiently, and deliver superior returns.

Our company is led by an experienced team and backed by a combination of top tier venture capital firms and strategic industry partners including: Blackstone, Nasdaq, 8VC, JLL Spark, WTI, GreenSoil Investments, LeFrak, Milstein, Bechtel, and Morgan Stanley Expansion Capital.

We value your voice! If you get excited about solving real business challenges and working closely with other smart folks in a winning culture — we'd love to meet you!

The Systems & Networking team is responsible for designing and maintaining the foundational infrastructure that powers the entire Yext platform. Our core mission is to create reliable, predictable, and secure infrastructure within both our co-location facilities and cloud environments. We achieve this by integrating the best open-source and commercial technologies into an architecture that all Yext teams can leverage for developing, supporting, and maintaining the platform. Furthermore, we provide guidance to various teams on how to optimally utilize this infrastructure.

What You'll Do

• Develop sophisticated systems that automate the building, testing, and operation of our infrastructure so that we can focus our attention on the things that matter.
• Work with talented software teams to optimize performance, and increase reliability of our applications, ensuring our infrastructure doesn’t skip a beat.
• Build comprehensive & secure self service functionalities that lets engineering teams move faster.
• Design and build our tools for monitoring and alerting to administer and comprehend increasing numbers of services.
• Define a set of standards that services should meet, and implement the capabilities to measure and score us on these.
• Diagnose and solve problems across the application, network, and infrastructure stacks in a predominantly Linux environment.

What You’ll Have

• BA/BS in Computer Science, Engineering, or equivalent practical experience.
• 2–5 years of experience in a Site Reliability Engineering (SRE), Software Engineering (SWE), DevOps, Platform, or related role.
• Proven experience in designing, building, testing, monitoring, and automating secure distributed systems and networks.
• Possesses an automation-first mindset when developing and testing infrastructure.
• Strong interest in Platform Engineering, applying a customer and product-centric approach to building internal platforms.
• Enjoys knowledge sharing and thrives in a collaborative team environment.

Bonus Points

• Proficiency in programming languages such as Python, Go, Java, or similar.
• Working knowledge of major cloud platforms (AWS, GCP, or Azure).
• Experience with container orchestration using Kubernetes.
• Familiarity with Docker containers.
• Experience with Infrastructure as Code (IaC) tools (e.g., Ansible, Terraform, Terragrunt).
• Operations experience with the HashiStack (Nomad, Consul, Vault).
• Experience with Linux operating systems like RHEL/CentOS.
• Knowledge of version control systems (e.g., git, GitHub, Bitbucket).
• Basic understanding of networking concepts.   

#LI-JB2

About Carbyne:
In March 2026, Carbyne officially joined forces with Axon, marking a major step forward for emergency communications. United by a shared mission to Protect Life, Carbyne and Axon are modernizing 911 by improving how critical data reaches call centers. Together, we enable faster, more informed responses by equipping emergency call centers with real-time video, silent chat, precise location tracking, and other essential tools—bringing life-saving information to the right people at exactly the right time.


Your Impact

• Lead network projects, including network establishment, upgrades, expansions, and migrations.
• Configure and maintain Fortinet Firewalls, Cisco switches, and routers, among other networking equipment and ensure network security by implementing best practices and conducting regular security audits.
• Monitor network performance and troubleshoot any issues that arise, ensuring maximum uptime and reliability and perform production system upgrades, as well as debug sessions independently in a mission-critical live system.
• Thrive in a high-activity/fast-paced environment, effectively managing multiple tasks and shifting priorities and resolve complex problems independently, leveraging data analytics and troubleshooting skills.
• Collaborate with vendors and service providers to build and resolve network-related challenges.
• Perform network infrastructure deployments leveraging IaC tools and pipelines
• Provide technical guidance and mentorship to junior network engineers.

What You’ll Do 

We are currently seeking a highly skilled and experienced Senior Network Engineer to join our Global Operations team. As a Senior Network Engineer, you will play a crucial role in the designing, integration, and implementation process of our innovative public safety products for our clients in the national first responders systems (911) and government sectors worldwide. Youwill be responsible for ensuring the highest level of service is delivered to our customers 24/7.

What You Bring

• Minimum of 10 years of experience as a network engineer or equivalent in critical service industries with a focus on designing and implementing complex network solutions.
• Strong experience with AWS VPC, Transit Gateway, Direct Connect, Ingress/Egress architectures, Route 53
• In-depth knowledge of planning, designing, implementing, and operating an Enterprise IT network environment and data center network.
• Hands-on configuration and operational knowledge of Fortinet Firewalls, SD-WAN infrastructure, Cisco switches, and routers. 
• Strong experience troubleshooting private and public transport connectivity with a keen ability to identify issues affecting production systems
• Strong knowledge of networking protocols and technologies, including TCP/IP, VLANs, BGP, OSPF, MPLS, VPN, and DNS.
• Experience building and designing rack/cabinet/cage construction for highly available and resilient network infrastructure.
• Proven expertise in SD-WAN planning, design, implementation, and operations encompassing multi-site deployments
• Knowledge and experience in network monitoring and optimization tools. Ability to quickly identify issues affecting voice and video quality
• Ability to debug production systems and perform deep-level packet capture analysis independently in mission-critical systems
• Comfortable working with data analytics and resolving complex problems independently.
• Solid understanding of network security principles and best practices.
• Ability to thrive in a high-activity/fast-paced environment, handling ambiguity and shifting priorities.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders.
• Working experience with IaC tools including Terragrunt, Terraform, Ansible, or Python
• Working experience with Git and DevOps tools including Visual Studio Code, BitBucket, Jenkins, GitLab, or equivalents

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• Employee Resource Groups (ERGs)
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

Why Engineering at Dataiku?

Dataiku’s on-premise, cloud, or SaaS-deployed platform connects many data science technologies,  and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll  work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here.

How you’ll make an impact:

As a Site Reliability Engineer (SRE) with advanced expertise in networking and security, you'll join our Cloud team developing and operating the Dataiku managed offering. Your role involves working on a wide variety of tasks, from architecting and maintaining robust network security measures (PrivateLink, Ipsec, etc.) to ensuring compliance with industry standards and regulations, monitoring, and deploying our cloud offering.

You are responsible for building and operating a reliable, secure, and cost-efficient infrastructure to support the Dataiku SaaS offering. This role is an opportunity to be part of a project that is central to our company’s vision and has a strong and direct impact on the final outcome. You will work with the most promising cloud technologies and receive valuable mentorship from experts from our core team. The position is at the NYC Office.

Some expected outcomes for this role:

• Design, deploy, and maintain robust network and security measures (private connectivity options, VPN IPSEC, firewall configurations, etc.) in cloud infrastructures to support a Dataiku SaaS offering.
• Troubleshoot network connectivity issues in cloud and on-premises environments.
• Collaborate with security teams to execute a comprehensive security roadmap, prioritizing initiatives that mitigate risks and enhance our overall security posture.
• Ensure compliance with industry standards and regulations (e.g., SOC2, HIPAA) by implementing and maintaining appropriate security controls and practices.
• Continuously improve the infrastructure, deployment, monitoring, and configuration to deliver more reliable, resilient, scalable, and secure services.
• Automate routine tasks and processes to improve operational efficiency and scalability, leveraging infrastructure as code tools and scripting languages.

What you need to be successful:

• Experience in enterprise networking (VPN IPSEC / Palo Alto / Cisco / PrivateLink…), and network security with a focus on both on-premises and cloud environments.
• Proven track record of designing and implementing secure and compliant network architectures, with an understanding of industry standards and regulations.
• Experience leveraging cloud resources from at least one public cloud provider (AWS / Azure / GCP), including proficiency in networking services such as AWS VPC, VPN Gateway.
• Hands-on experience with networking tools (tcpdump, wireshark, netstat, dig, etc.) and Infrastructure as code tools (Terraform/Ansible, Helm).
• Solution-oriented and automation-first mindset.
• Bonus: hands-on expertise working with Docker and Kubernetes

What does the hiring process look like?

• Initial call with a member of our Technical Recruiting team
• Video call with an SRE Manager
• Technical Assessment to show your skills (Home Test or Live Coding)
• Debrief of your Tech Assessment with 2 SRE Team members
• Final Interview with a VP Engineering

#LI-Hybrid

#LI-On-site

#LI-AH1

A Career with Point72’s Technology Team

As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.

As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business

What you’ll do

As the Linux Security Lead, you will own and drive a consistent and enforceable security posture across the firm's Linux fleet — building enforceable baselines, automated drift detection, and verified remediation patterns that scale across a hybrid on-premises and cloud environment. You will report directly to the Head of Infrastructure Security and serve as the technical authority for Linux hardening, operating within a sprint-based engineering discipline and working closely with the Linux Infrastructure team. Specifically, you will:

• Own the Linux security baseline program end-to-end, including defining hardening intent per distribution and workload class (RHEL, Ubuntu, Amazon Linux), enforcing standards through Ansible and configuration management tooling, and driving continuous drift reconciliation.
• Build and operate automated drift detection workflows by translating desired state into enforcement, generating alerts with remediation paths, and reducing MTTR for high-risk deviations.
• Integrate Linux posture signals, including compliance state, vulnerability exposure, and audit telemetry, into broader access policy and detection pipelines.
• Partner with security automation teams to build scalable, version‑controlled delivery patterns with validation and rollout safeguards.
• Maintain exception governance discipline, such as time-bounded exceptions with explicit ownership, compensating controls, and regular burn-down reviews.
• Drive verified vulnerability closure for Linux-specific exposure classes
• Establish and embed Linux-specific secure engineering principles, such as least privilege daemons, immutable configuration patterns, kernel hardening, and audit telemetry standards, into engineering standards and peer review processes.
• Contribute to the firm's broader CIS Benchmark compliance posture, maintaining mappings to CIS Controls v8 and NIST CSF 2.0 for audit and regulatory defensibility.

What’s required

• 6+ years of experience in Linux system administration or security engineering, with at least 3 years focused on Linux security hardening and compliance in an enterprise environment.
• Demonstrated expertise with configuration management tooling, specifically Ansible, and infrastructure-as-code practices, including version control, peer review workflows, and pipeline-driven enforcement.
• Hands-on experience with CIS Benchmarks for Linux (RHEL, Ubuntu, or equivalent) and familiarity with the NIST Cybersecurity Framework (CSF 2.0) and STIG compliance frameworks.
• Proven ability to build and operate drift detection and reconciliation tooling, as well as experience with Qualys, CrowdStrike, or equivalent endpoint monitoring platforms.
• Working knowledge of Linux kernel security features such as SELinux or AppArmor, auditd, system hardening, privilege separation, and secure boot patterns.
• Experience operating in an engineering delivery model, specifically with sprint cadence, backlog prioritization, Definition of Done tied to verification, and peer review for high-impact changes.
• Strong collaboration skills with the ability to define and maintain explicit interfaces with adjacent teams and communicate posture risk clearly to technical and non-technical stakeholders.
• Commitment to the highest ethical standards. 

We take care of our people

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

• Fully-paid health care benefits
• Generous parental and family leave policies
• Mental and physical wellness programs
• Volunteer opportunities
• Non-profit matching gift program
• Support for employee-led affinity groups representing women, minorities and the LGBT+ community
• Tuition assistance
• A 401(k) savings program with an employer match and more

About Point72

Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here

The annual base salary range for this role is $200,000-$300,000 (USD), which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

HPC Data Center Production Engineer
Location: Chicago or New York (On-site 5 days/week)
Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.
Trading Infrastructure is a global organization of Engineers who architect, build and maintain our world-class infrastructure. From colo design/implementation, to optimizing our exchange connectivity, to building world class low latent Wide Area Networks, we leverage research and automation to consistently adapt and innovate our infrastructure to scale and drive our trading and evolving business.
We are looking for an HPC Data Center Production Engineer to build and own the automation and tooling that powers Jump's HPC data center operations. This is a development-heavy role focused on automating the onboarding and lifecycle management of data center hardware—servers, switches, rack PDUs, CDUs, and environmental sensors—and building tools for capacity planning, outage simulation, monitoring, and metrics integration. You will work hand-in-hand with the HPC Planning, Engineering, and Operations leads to turn tooling and monitoring vision into production-ready systems. Heavy, daily use of AI tools is expected to accelerate development and raise the quality bar on everything you build.
What You'll Do:
Hardware Onboarding Automation

• Design, develop, and maintain automation to onboard new hardware devices into Jump's HPC data centers, including servers, network switches, rack PDUs, CDUs, and environmental sensors.

• Build end-to-end provisioning workflows that take hardware from racked-and-cabled through discovery, configuration, validation, and production-ready state with minimal manual intervention.

• Extend and adapt onboarding automation as new hardware platforms and device types are introduced.
  Data Center Tooling Development

• Develop tools for power and cooling capacity planning—enabling the operations and planning teams to model current utilization, forecast growth, and identify constraints before they become problems.

• Build outage simulation tooling to model the impact of power, cooling, or network failures across HPC facilities and validate redundancy/failover configurations.

• Develop and maintain operational tooling that supports day-to-day data center workflows such as hardware lifecycle tracking, data center inventory/spares, change management, and diagnostics.
  Monitoring & Metrics Integration

• Build and maintain monitoring integrations for HPC data center infrastructure—pulling telemetry from servers, switches, PDUs, CDUs, environmental sensors, and facility systems into centralized observability platforms.

• Integrate metrics feeds from colocation and data center providers into Jump's monitoring stack, normalizing data for alerting and capacity reporting.

• Work with the Operations Lead to implement the monitoring and alerting strategy, translating requirements into deployed, production-grade instrumentation.
  Cross-Team Collaboration

• Work very closely with the HPC Planning, Engineering, and Operations leads to understand tooling and monitoring needs and bring their vision to fruition.

• Partner with HPC Engineering on integration points between data center automation and compute/storage/network provisioning systems.

• Translate operational pain points and manual processes into automated, maintainable solutions.
  Systems Maintenance & Reliability

• Own the reliability and lifecycle of all systems and tools you develop—monitor for failures, respond to issues, and iterate based on operational feedback.

• Maintain comprehensive documentation for all tooling, automation workflows, and integrations.

• Participate in large, coordinated maintenance operations, including during evenings and weekends.
  AI-Driven Development

• Use AI tools daily across all aspects of the role: writing and reviewing code, analyzing data, debugging, generating documentation, and accelerating development velocity.

• Identify opportunities to apply AI to data center operations problems—anomaly detection, predictive capacity planning, intelligent alerting, and beyond.
  Additional duties as assigned or needed.
  Skills You'll Need:

• 5+ years of professional experience in production engineering, infrastructure automation, or site reliability engineering, preferably in HPC or large-scale data center environments.

• Proven track record of building and shipping production automation and tooling—not just scripts, but maintained, reliable systems.

• Experience automating hardware provisioning and lifecycle management (servers, network devices, power/cooling infrastructure).

• Strong understanding of data center infrastructure: power distribution, cooling systems (air and liquid), environmental monitoring, and structured cabling.

• Experience integrating with hardware management interfaces (IPMI/BMC/Redfish, SNMP, vendor APIs) for discovery, configuration, and telemetry collection.

• Demonstrates a high level of energy, results driven, and able to work under pressure with tight deadlines.
  Technical Skills:

• High proficiency in Golang and at least one additional language (e.g., Python). You will write a lot of code in this role.

• Strong Linux systems knowledge—you should live in Linux. Proficient with system administration, networking, storage, process management, log analysis, and troubleshooting at the OS level.

• Experience with Grafana for building dashboards, alerting, and visualization of infrastructure metrics. Experience with Prometheus, InfluxDB, or similar observability platforms and building custom integrations/exporters.

• Experience with configuration management and infrastructure-as-code tools (SaltStack, Ansible, Terraform, or similar).

• Solid understanding of networking concepts: L2/L3 protocols, VLANs, BGP, SNMP, and switch/router configuration (Arista, Cisco).

• Experience with APIs and data integration—consuming vendor APIs, normalizing heterogeneous data sources, building data pipelines for metrics and reporting.

• Experience with ClickHouse and MySQL—writing queries, designing schemas, and building tooling that reads from and writes to these databases.

• Experience with GitHub for version control, code review, CI/CD workflows, and collaborative development.

• Demonstrated heavy use of AI tools (e.g., LLM-based coding assistants, AI-driven analytics) in a professional setting. You should already be using AI daily and be eager to push its application further.

• A compulsion to perform root cause analysis.

• Excellent written and verbal communication skills with the ability to work across a global engineering team.

• Extremely high personal standards for work quality.

• Reliable and predictable availability, including ability to work evenings and weekends as required.

• Bachelor's degree preferred.