The Security Products organization at CoreWeave builds the identity, encryption, and self-managed security integrations that protect AI workloads and data across our cloud platform. If you are passionate about building foundational security primitives that enable enterprises and the top AI labs in the world to deploy regulated and security‑sensitive workloads at extreme scale, this is the team to join!

About the role

CoreWeave is seeking a Staff or Principal Engineer for our Security Products team to lead the technical direction and implementation of encryption and key lifecycle management  In this role, you’ll design and evolve the key lifecycle management, encryption control planes, algorithm/library selection, and systems integrations that allow CoreWeave customers to deploy sensitive, high security AI workloads and data. You’ll partner closely with teams across CoreWeave to develop customer-driven cryptography technology. Your day‑to‑day will blend hands‑on system design and coding with cross‑team technical leadership, design reviews, and roadmap shaping for Security Products.

In this role, you will:

• Lead the design and evolution of encryption and key lifecycle management products.
• Manage encryption and cryptography technology development for services within our Cloud Platform, particularly those for high security and highly regulated customers.
• Design and build deep integrations between our Cloud Platform and external key sources (eg, HashiCorp Vault, AWS KMS, HSMs).
• Collaborate with other product engineering teams to support the safe use of multicloud key management technology.
• Partner with IAM to define unified authorization patterns and policy models for key management APIs with consistent semantics across the resource hierarchy.
• Establish SLIs / SLOs for Remote Key Encryption (RKE) and related services, including availability, latency, and durability guarantees for key retrieval and encryption operations.
• Partner with the Security Engineering team on threat modeling and corporate strategy to enable the most sensitive AI workloads in the world to be deployed on CoreWeave's infrastructure.
• Author and review detailed technical designs and RFCs for new RKE capabilities, mentor other engineers on the team, and provide technical leadership across Security Products and adjacent organizations.

Who You Are

• 8+ years of experience building and operating distributed backend systems in production, including ownership of reliability and security outcomes for critical services.
• Deep experience with encryption at rest and key management systems, including envelope encryption patterns, key hierarchies and secure key lifecycle management.
• Hands-on experience integrating with at least one major KMS or secrets manager (e.g., AWS KMS, HashiCorp Vault, Azure Key Vault, GCP KMS, HSMs), including designing APIs and workflows around those systems.
• Strong proficiency in a systems programming language such as Go (preferred) or Rust, with experience building networked services (gRPC / REST) in a Linux / Kubernetes environment.
• Solid understanding of applied cryptography concepts relevant to data‑at‑rest protection (AES‑GCM/CTR, key wrapping, KDFs, randomness requirements, envelope encryption, and key separation) with the ability to reason about threat models and failure modes with Security partners.
• Experience designing and operating multi‑tenant services with strong isolation and authorization semantics across customers and internal tenants.
• Demonstrated track record of leading cross‑team technical initiatives, driving projects from problem statement through rollout, alignment, and operational readiness.
• Strong operational experience defining SLIs / SLOs, building dashboards and alerts, and partnering with SRE / Production Engineering on incident response and post‑incident improvement.
• Excellent written and verbal communication skills with the ability to produce clear, opinionated design docs that influence Senior Engineers, PMs, and Security stakeholders through context setting and sound technical judgment

Preferred (if applicable)

• Prior experience designing or implementing remote or externalized key management for cloud storage, databases, or filesystems (e.g., BYOK/BYOKMS, customer‑managed keys, envelope encryption for S3‑like object storage).
• Experience with hardware‑backed key management (HSMs) and cryptographic compliance regimes (FIPS 140‑2/3, PCI, HIPAA, FedRAMP Moderate+, or similar) and how they shape system design.
• Familiarity with IAM policy models (RBAC / ABAC, OpenFGA, OPA/Rego, etc.) and how to integrate fine‑grained authorization into security‑sensitive APIs.
• Experience extending encryption and key management across multiple storage domains (object storage, block/file storage, databases, control plane state like etcd) in a coherent way.
• Background working in security‑sensitive or regulated environments where auditability, segregation of duties, and key custody requirements are critical.
• Contributions to open source cryptography, security tooling, or KMS/client libraries.
• Previous US/NATO federal cryptographic security experience is ideal but not necessary. 

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 getting the cryptographic and operational details right, and you’re comfortable saying “no” to shortcuts that weaken security or key custody guarantees.
• You’re excited by the challenge of building foundational security primitives that other product teams and large enterprises will build on for years.
• You enjoy working at the intersection between Platform, Storage, IAM, and Security Engineering, and you can translate between those domains without losing the plot.
• You’re skilled at turning complex requirements for highly regulated customers into simple, reliable, well‑documented APIs and workflows.
• You’re comfortable operating in a fast‑moving environment, iterating quickly while still holding a high bar for design review, testing, and safe rollout of security‑sensitive changes.

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). 

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.

About Role

Clockwork is seeking a sales-savvy individual with extensive technical expertise in AI networking to fill our Senior Solutions Engineer position. Do you thrive in a fast-paced, dynamic environment? Utilize your networking expertise, systems engineering background, and consultative skills to partner with our sales team throughout the entire customer journey—from understanding requirements and delivering compelling technical presentations and demos to conducting proof-of-concept (PoC) evaluations and overseeing complex software deployments.

What you will do

• Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements.
• Lead proof of concept evaluations to showcase the value of Clockwork's solutions within customer environments.
• Provide technical leadership during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise.
• Work closely with Clockwork's sales team to complete PoC evaluations and close deals.
• Collaborate with product and engineering teams, and identify opportunities for product enhancement.
• Offer valuable insights on product features, functionality, and performance, contributing to discussions about product strategy and architecture.
• Stay abreast of the latest developments and trends in AI networking, Kubernetes, and cloud computing, sharing your thought leadership with customers and internal stakeholders.
• Represent Clockwork at conferences and industry events, with occasional travel as required.

Experience/skills you bring to the position

• 5+ years in a solutions architect or engineering role, preferably within cloud or AI infrastructure domains.
• Previous pre-sales experience, including POCs, with client stakeholders, including senior technical staff and management.
• Hands-on experience with cloud platforms (AWS, GCP, Azure, OCI).
• Strong understanding of Kubernetes and container orchestration.
• Familiarity with GPU infrastructure and related technologies.
• Extensive knowledge of networking protocols.
• Excellent communication and relationship-building abilities, with a customer-centric mindset.
• Demonstrated ability to troubleshoot complex technical issues and provide effective solutions.
• A degree in computer science, electrical engineering or related field.
• Proficiency with Python, SQL, and Linux (Golang, C, C++, and Java are a plus).

Compensation for this position will vary based on the skills and experience you bring, as well as internal equity considerations. For candidates hired at the posted level, the expected base salary range is $170,000 - $250,000. In addition to cash compensation, this role is eligible to participate in the company’s equity program, which may include stock options granted in accordance with the company’s equity plan and subject to approval and applicable vesting schedules.

Enjoy

• Challenging projects.
• Competitive compensation.
• A great benefits package.
• A friendly and inclusive workplace culture.
• Catered lunches.

Who are we hiring?  
The Incident Response Analyst is responsible for monitoring, investigating, and responding to security alerts and incidents across the organization. This role partners with internal and external teams to contain threats, remediate vulnerabilities, and restore impacted systems in a timely manner. The Incident Response Analyst also supports incident investigations, documents findings, and helps strengthen the organization’s overall security posture. The ideal candidate is an analytical problem solver who communicates effectively and thrives in a collaborative, fast-paced environment. 

What will you do? 

• Responsible for carrying out daily security monitoring and response procedures. 
• Perform initial incident assessment, evidence gathering, and triage.
• Escalate incidents and participate in or lead remediation efforts.
• Investigate and remediate security events occurring in email, workstations, firewall and other platforms.
• Document and report steps taken to resolve security events using information security runbooks and templates.
• Provide feedback and recommendations for improvement of security controls and response procedures.
• Assist with expanding MDR/SIEM capabilities, including log coverage, alert development, and process improvements.
• Report weekly metrics to the Information Security Leadership.
• Collaborate with the Technology, People Practices, and Legal and Business Affairs departments to build a more secure MSG.
• Participate in On-Call rotation to remediate alerts/incidents outside regular business hours.
• Assist with managing, analyzing, and remediating phishing emails within our security platform.
• Other information security projects/duties as assigned.  

What do you need to succeed? 

• 2-4 years of related experience    
• Bachelor’s degree, or equivalent combination of education and experience
• 1-2 years of experience in information security and/or digital forensics involving investigating and remediating cyber events.
• Comprehend current cyber security threats such as spear-phishing campaigns, business email compromises, and back-door Trojan malware.
• Experience with Endpoint Detection and Response tools such as Carbon Black, SentinelOne and Microsoft Defender.
• Has a basic knowledge of Windows, Mac, and Linux operating systems. iOS and Android mobile devices.
• Must have experience dealing with confidential information and tact when working on sensitive investigations
• Has a basic knowledge of traditional networking (TCP/IP, DNS, DHCP, etc.) and cloud infrastructure, such as AWS, GCP, and Azure.
• Able to document detailed investigations, remediations, and procedure changes.
• Communicates effectively with peers, partner teams, and management.
• Enjoys thinking analytically and solving problems individually and as a team.
• Possesses a passion for learning all things, information security and incident response. 

Application Requirements  

• All applicants must submit a cover letter addressing the following question for consideration:
  • How do you demonstrate initiative and independent problem-solving in technical or cybersecurity-related work?
  • Applications without a cover letter will not be considered. 

Special Requirements  

•  Participates in On-Call rotation to ensure security incident response coverage is available 24/7/365 
• Possible travel of up to 10% if onsite presence is required at the company’s other locations.  

#LI-Onsite 

The Role

We are seeking a Software Engineer to join the Precompute team within our Core Product Engineering organization.

Our team is focused on building high-performance data and compute infrastructure that powers large-scale analytics, APIs, and downstream product experiences for our global customer base of Financial Advisors and Wealth Managers.

We partner closely with a world-class team of engineers, designers, and product managers, and put system performance, scalability, and reliability at the forefront of every initiative.

Our platform is rapidly evolving to support increasingly complex workloads, and as we modernize our architecture, we are enabling new capabilities through high-throughput data pipelines, efficient compute primitives, and flexible APIs. We pride ourselves on delivering robust, scalable, and highly performant systems.

The Precompute team builds and operates the foundational computation layer that accelerates financial analytics across the platform, with a strong emphasis on vectorisation, parallelism, and distributed processing. Our systems form the backbone of how data is processed and served at scale.

Addepar takes a market-based approach to pay. A successful candidate’s starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for roles in Colorado, California, and New York.

The current range for this role is $107,000 - $168,000 (base salary) + bonus + equity + benefits. 

Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits.

Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment.

What You’ll Do

Work with teams across the organisation to:

• Develop and implement core computation and data processing capabilities that align with our product vision within a multi-functional team
• Enhance the performance and scalability of our computation platform, processing large volumes of financial data efficiently across distributed systems
• Develop systems that leverage vectorised execution, parallelism, and elastic infrastructure to optimise throughput and latency

Who You Are

• Comfortable working independently, with a bias for action
• Thrives in ambiguous spaces where there isn’t a clear solution
• Enjoys digging into new problems and unfamiliar codebases
• Excels at written and verbal communication
• 3+ years of backend software engineering experience
• Proficiency in developing with server-side OO languages like Java
• Proficiency with Linux
• Familiarity with infrastructure components such as CI/CD, monitoring, logging, containers, Kubernetes, and infrastructure-as-code
• Familiarity with HTTP, developing REST and web APIs

Mark43’s mission is to empower communities and their governments with new technologies that improve the safety and quality of life for all. We build powerful, scalable, and elegant software that sets a new standard for the tools upon which our first responders rely. Our users are diverse, and we are therefore committed to embracing diversity of thought and experience within our team.

Mark43 is seeking an Integration Analyst to join our Global Services team. This role will be critical to the success and scalability of our customer deployments across the country. The Mark43 Integration Analyst is passionate about implementing the next generation of law enforcement technologies.

You will work on a customer-facing team to assist with the implementation of technical services for public safety agencies. Public safety has a complex technical ecosystem, and you will play a key role in analyzing our customers’ technical landscapes, processes, and policies in order to recommend services, such as interfaces that create efficiencies for Mark43 and its customers. You will work closely with multiple stakeholders, including customers, third-party vendors, and Mark43 engineering teams, to ensure timely delivery of services that bring value to our customers.

This role requires sharp attention to detail, strong organizational skills, an interest in working directly with customers, and a knack for supporting law enforcement users with revolutionary software. Members of our current team have backgrounds in consulting, technical project management, and experience with large SaaS deployment projects.

What you can expect to work on:

• Assist key stakeholders, such as customers, third-party vendors, and Mark43 engineering teams, through the different stages of technical implementation, including requirements gathering, solutioning, documentation, mapping, configuration, and user acceptance testing.
• Track technical project schedules with stakeholders, help identify schedule risks, and support Implementation Managers with mitigation strategies.
• Configure, schedule, and maintain containerized software across a multi-cloud environment.
• Update external-facing technical documentation to educate stakeholders on Mark43 technical solutions.
• Work towards a worthwhile mission with a team of friendly and intelligent coworkers.

What we expect from you:

• 1-3 years' experience in an Integration Analyst, Implementation Specialist, Technical Analyst, Technical Project Management, or IT support role at a growing company.
• Passion for supporting law enforcement, first responders, and other government agencies.
• Experience in a customer-facing role, preferably in project management, training, customer support, and/or feedback collection.
• Strong organizational skills and ability to multitask.
• Excellent written and oral communication skills.
• Ability to work independently and towards a deadline with minimal oversight.
• Ownership over your own work and a commitment to every part of a task, from big picture to small details.
• An attitude that is self-motivated, humble, detail-oriented, and committed to quality.
• Knowledge of API Integrations, XML, JSON, and Kubernetes.
• Knowledge of SQL.
• Strong troubleshooting skills, the ability to read technical logs.
• Basic understanding of Linux systems.

What you can expect from us:

• Real opportunity for career growth in an environment where your achievements will be celebrated.
• Building mission-critical and socially responsible software to enable first responders to better serve their communities.
• Constant collaboration with numerous Mark43 teams, including Customer Success, Technical Support, Product, and Engineering.
• A team that respects and embraces your ideas and expertise.
• Coworkers that are motivated by pursuing excellence, rather than the prospect of personal gain.
• A workplace dedicated to supporting and bettering public safety and government agencies.

Scale AI’s Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We are looking for a Mission Software Engineering Manager to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale’s government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows.  

You will:

• Recruit a high-performing engineering team. 
• Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of engineers working on Generative AI projects. 
• Collaborating with cross-functional teams to define, design, and execute strategic roadmap.
• Work directly with customers to understand their problems and translate those into features in Scale’s platform.
• Be open to ~25% travel or relocation to a key customer geographic location.
• Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.
• Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back.
• Deploy and maintain Scale software at customer sites
• Develop customer requested features and work closely with them to ensure that they win customer love.
• Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions.
• Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
• This role will require an active TS/SCI security clearance or the ability to obtain a security clearance.

Ideally you’d have:

• 5+ years of full-time engineering experience, post-graduation
• 2+ years of prior engineering management or equivalent experience and has managed an engineering team.
• Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles.

• Prior experience developing with Python and JavaScript, or other modern software languages. Familiarity with Node and React is a plus.
• Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
• Linux experience: Understanding of shell scripting, operating systems, etc
• Networking experience: Understanding of networking technologies, configuration  (ports, protocols, etc) 
• Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles
• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles
• Understand unique DoD and USG constraints when it comes to technology

Scale AI’s Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We’re looking for a hands-on Field Engineering Manager on the front lines leading a team 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. This role is ideal for someone who thrives in technical environments, enjoys managing teams while staying close to the code, and wants to work on meaningful problems that impact real world operations across the U.S. government. 

Field Engineers are software engineering generalists who enjoy working with clients directly, taking ambiguous requirements and issues, and quickly designing and building production-grade solutions in close collaboration with the Product, Engineering, and Delivery teams. Field Engineers are experts on Scale's products and codebase, and have general technical knowledge on GenAI systems, APIs, networking, and data engineering. Field Engineers are strong relationship builders, great project managers, and always fun to work with. You’ll play a critical role in delivering technical solutions—all while helping your team grow and execute.

You’ll split your time between technical planning and execution (50%) and people management and team development (50%), leading a team of 6-8 engineers. You’ll work cross-functionally with product, engineering, security, and delivery teams to ensure our engineering efforts meet complex federal compliance, security, and performance needs.

Day to day:

• 50% Field engineering - customer engagement, technical development and delivery 
• 50% Managing a growing team

You will:

• Recruit a high-performing engineering team. 
• Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of customer facing engineers working on Generative AI projects. 
• Collaborating with cross-functional teams to define, design, and execute strategic roadmap based on customer needs.
• Work directly with customers to understand their problems and translate those into custom workflows within Scale’s platform.
• Be open to ~25% travel or relocation to a key customer geographic location.
• Collaborate with cross-functional teams to define the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.
• Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back.
• Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
• Lead end-to-end technical delivery of custom workflows from scoping to development to testing to implementation
• This role will require an active TS/SCI security clearance or the ability to obtain a security clearance.

Ideally you’d have:

• 5+ years of full-time engineering experience, post-graduation.
• 2+ years of prior engineering management or equivalent experience and previously managed an engineering team.
• Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles.
• Prior experience developing with Python and JavaScript, or other modern software languages. 
• Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus.
• Linux experience: Understanding of shell scripting, operating systems, etc.
• Networking experience: Understanding of networking technologies, configuration  (ports, protocols, etc) is a plus.
• Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles.
• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles.
• Understand unique DoD and USG constraints when it comes to technology.

Scale AI is seeking a highly skilled and motivated Mission Software Engineer to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale’s government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows.   

You will:

• Work directly with customers to understand their problems and translate those into features in Scale’s platform.
• Be open to >50% travel or relocation to a key customer geographic location.
• Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.
• Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back
• Deploy and maintain Scale software at customer sites
• Develop customer requested features and work closely with them to ensure that they win customer love.
• Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions.
• Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
• This role will require an active TS/SCI security clearance or the ability to obtain a security clearance.

Ideally you have:

• Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles.
• Prior experience developing with Python and JavaScript, or other modern software languages. Familiarity with Node and React is a plus.
• Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
• Linux experience: Understanding of shell scripting, operating systems, etc
• Networking experience: Understanding of networking technologies, configuration  (ports, protocols, etc) 
• Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles
• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles

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.

You will join the global Security function, which is responsible for safeguarding QRT’s technology platforms, data, and operational environments. The team partners closely with Engineering, Infrastructure, Risk, Compliance, and business stakeholders to design and implement security controls, reduce risk, and enable safe, high-performance operations across global offices.

Your future role within QRT

• Support the implementation of security controls and processes for product security, focusing on a broad range of systems, including core trading infrastructure, cloud services, and business applications across both Windows and Linux environments.
• Collaborate with engineering and product teams to integrate security into product design and development, applying your experience in securing large-scale software systems in a fast-moving environment.
• Contribute to the development and maintenance of a secure software development lifecycle (SDLC) with a focus on secure coding practices in languages like Python, C++, Rust, Go and Kotlin/Java.
• Conduct threat modeling, vulnerability assessments and security code reviews across different platforms, ensuring security is embedded at every stage of the development lifecycle.
• Provide mentorship, guidance, and training on security best practices and secure development processes to engineering teams working in mixed cloud and operating systems environments.
• Perform vendor security reviews to assess third-party security practices and ensure compliance with QRT’s standards.
• Integration of security scanning tools (SAST, DAST, etc.) into CI/CD pipelines and runtime environments to ensure continuous security monitoring and threat detection across Alibaba Cloud, AWS, Azure, and on-prem systems.
• Proactively identify security risks and develop strategies for risk mitigation in a fast-paced high-stakes environment.

Your present skillset

• At least 7 years of experience in product security or similar roles with significant practical experience in securing software development at scale.
• Proven record of accomplishment in secure coding practices and development experience in development languages such as Python, C++, Rust, Go and Kotlin/Java.
• Strong technical background in software development, system architecture and security tools.
• Strong understanding of security principles, techniques and technologies related to software and product security, cloud platforms and business applications. Knowledge of low-latency financial systems would be an advantage.
• Experience working with and securing both Windows and Linux-based systems.
• Extensive experience with one or more cloud platforms such as AWS, Microsoft Azure and Alibaba Cloud used in a hybrid environment.
• In-depth knowledge of threat modeling, risk assessment and development of mitigation strategies for large-scale, complex systems in a fast-paced environment.
• Experience integrating security scanning tools into CI/CD pipelines and runtime environments.
• Experience conducting vendor security reviews and managing third-party security assessments.
• Excellent leadership, problem-solving, communication and adaptability skills, suited for a senior-level position in a fast-paced environment.

Base salary range for this position is $160,000 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 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. 

Market Access is responsible for building and maintaining the cutting-edge technology systems that connect QRT to global financial markets, brokers, and third-party providers. These systems are critical for delivering real-time market data and executing orders with speed, reliability, and precision. By enabling our strategies and traders to operate seamlessly, the team plays a pivotal role in supporting QRT’s rapidly expanding business needs and ensuring we maintain our competitive edge through world-class trading technology.

Your future role within QRT 

• A key member of the development team building and enhancing low latency algorithmic trading strategies for QRT 

• Coverage of all aspects of the algorithmic trading strategy, including the exchange price feeds, financial indicators, market making algorithms, back-testing engine, tick data management, exchange simulators and trading gateways, as well as support of the production environment and the processes surrounding it 

• You will work closely with a range of investment management professionals including quantitative analysts/developers, traders and operations staff, in order to design and develop cutting edge systems to keep QRT’s business at the forefront of its field 
• Opportunity to contribute to quantitative research, although this is not the core focus of the role 

Your present skillset 

• Computer Science degree or equivalent 

• Essential you have a background in Linux / C+ low latency optimizations (5 years+ on low latency Linux development using C/C++, STL, Boost) 

• Experience designing and implementing multithreaded and distributed systems 

• Experience of front-office trading desk-aligned role is an advantage 

• Good knowledge of distributed network architecture 

• Good knowledge of Equities and Futures asset classes highly desirable 

• Familiar with low level optimization techniques on x86/64 platform 

• Familiar with Linux / GCC development toolchain and Linux Red Hat distribution 

• Knowledge of market data feed handlers and execution gateways highly desirable 

• A background in Linux kernel, FPGA and Network card offloading will also be advantageous 

 
Base salary range for this position is $180,000 to $300,000 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. 

Your future role within QRT:

We are seeking a Market Microstructure Researcher to help optimize exchange connectivity and interaction for our high-frequency trading strategies. You will analyse network and exchange protocols, automate performance metrics, and lead experiments to improve our trading operations, with a focus on latency-sensitive exchanges.

• Network & Protocol Analysis: Analyse network and exchange protocol captures to identify inefficiencies and improve communication performance
• Exchange Research & Liaison: Research exchange features, attend presentations, and communicate with exchange counterparts to gather insights
• Execution Optimization: Reverse-engineer trading systems and design and conduct experiments to improve fill rates
• Cross-team Communication: Collaborate directly with trading and research teams to ensure best application of findings and direct PnL impact
• Data Analysis: Effectively work with large and robust datasets to identify and resolve inefficiencies in internal execution systems and exchange communication

Your present skillset:

• Degree in Computer Science, Engineering, or a related field
• 5+ years of experience in data analysis and/or low-level systems and network engineering
• Strong skills in Python and time-series analysis
• Understanding of network protocols such as TCP/IP and Ethernet
• Familiarity with market microstructure and low-latency trading is a plus
• Advanced networking and GNU/Linux knowledge is a plus

Base salary range for this position is $180,000 to $260,000 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.

Your future role within QRT:

• Your core objective will be to provide high-touch user support to the global QRT team which trades across all the major EMEA and US markets.
• Provide prompt user support for investigations & resolution of any system issues impacting front office trading flows.
• Liaise with internal and external teams on a day-to-day basis to provide effective management of the QRT trading infrastructure, resolving issues through to completion.
• Support trading platforms on different OS environments – Windows & Linux (Manual trading application, Algorithmic trading platforms, Exchange/FIX connectivity system, and Risk systems).
• Ensure all trading components are up and running before the start of each trading day and support the release management process ensuring stability of the production environment.
• Provide maintenance and support of static databases and supporting processes.
• Develop tools to continuously improve our ability to monitor the trading environment.
• Evening/weekend support requirements (normally through remote access).

Your present skillset:

• >2yrs of Bash, Command Dos, Powershell or Python scripting experience is essential.
• Minimum 3yrs in a support role.
• Excellent problem solving and highly effective business analytics capabilities required.
• Must have a keen focus on ownership of issues and commitment to resolving them.
• Excellent written and oral communication skills are essential.
• Expert windows desktop and server administration experience is essential.
• High level of Linux OS experience is essential.
• Expert relational database skills (in order of preference: SQL Server, Postgres) are essential.
• Experience of managing the expectations of Front Office traders and senior management is desirable.
• Knowledge of Equities, Futures, Commodities and FX asset classes is an advantage.
• Knowledge of market data feed handlers and execution feeds is an advantage.
• Knowledge of market-making/liquidity provision and algorithmic trading is an advantage.

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 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.

Market Access is responsible for building and maintaining the cutting-edge technology systems that connect QRT to global financial markets, brokers, and third-party providers. These systems are critical for delivering real-time market data and executing orders with speed, reliability, and precision. By enabling our strategies and traders to operate seamlessly, the team plays a pivotal role in supporting QRT’s rapidly expanding business needs and ensuring we maintain our competitive edge through world-class trading technology.

We are looking for a talented C++ developer with expertise in low latency development, ideally in cryptocurrency markets or HFT.

Your future role within QRT

• Pivotal role in enhancing QRT’s market access systems to meet the demands of low-latency and high-frequency trading in cryptocurrency markets.
• Work closely with traders and researchers to understand the unique requirements of cryptocurrency trading and provide timely feedback and innovative solutions.
• Collaborate with Linux administrators and network engineers to ensure optimal system setup and deployment, leveraging cloud infrastructure and modern devops practices.
• Part of the QRT Market Access team, enhancing and maintaining systems that cover global markets, with a special focus on the cryptocurrency ecosystem.

Your present skillset

• Expert skills in C++ and Linux platforms.
• Proven experience in low-latency optimization and tuning techniques.
• Experience with market access systems in cryptocurrency markets.
• Familiarity with cloud environments and modern CI/CD pipelines.
• Good knowledge of crypto products is a plus.
• Strong communication and interpersonal skills are desirable.

 
Base salary range for this position is $180,000 to $270,000 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.

We are seeking exceptional infrastructure project managers to join the QRT IT infrastructure team tasked with driving the innovation of its next generation systems infrastructure. This is an exciting opportunity for the right candidate to help facilitate QRTs’ growth.

The successful candidate will be accountable for the end-to-end delivery of multiple parallel infrastructure projects. As a project manager you will be working closely with QRTs compute, network engineering and data centre operations teams as well as QRT’s partners and financial exchanges.

As part of the role you’ll be exposed to trading and enterprise projects - working in a fast paced, collaborative and supportive environment delivering best in class infrastructure for the business.

Your future role within QRT:

- Management of multiple programs of work across all areas of infrastructure.

- Build up working knowledge of QRT’s business and technology stack

-Task management and resource planning

- Create and maintain project documentation.

-Ensure project stakeholders are kept up to date on status / timelines / project blockers using the Atlassian JIRA system

- Assist in maintaining a secure environment and helping to coordinate vulnerability management

- Assist in managing allocation of compute resources

- Ensuring infrastructure projects are delivered on time and to the highest quality

Your present skillset:

- At least 4 years’ experience of technology project management

- Previous experience of the financial technology industry highly desirable

- High level, broad knowledge of trading infrastructure (Linux, Networking)

-High level knowledge of exchange connectivity (market data/order entry)

- Effective project management skills and practices.

- An analytical thinker with excellent problem-solving abilities.

- Excellent communication & 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.  

You will join the Cloud Infrastructure team in New York. The team designs, builds, and operates cloud platforms that support trading and research workloads, including digital asset and crypto-related systems. The team works closely with development, trading, and operations teams to deliver secure, reliable and scalable cloud solutions.

Your Future Role within QRT

• Design and implement deployment strategies for applications on AWS in collaboration with development, trading and operations teams
• Drive the adoption of CI/CD practices to automate and streamline software delivery
• Develop and maintain monitoring solutions to ensure availability, performance and reliability of cloud-based applications
• Work with developers to enhance application scalability, reliability and security in cloud environments
• Provide operational support and troubleshooting for issues related to cloud deployments and infrastructure
• Evaluate and introduce new tools and technologies to improve efficiency of DevOps processes
• Act as a liaison between engineering and business teams to facilitate effective communication and collaboration

Your Present Skillset

• Extensive experience with AWS services and infrastructure (e.g. EC2, S3, VPC and related components)
• Proficiency in scripting languages such as Python or Bash for automation
• Strong understanding of CI/CD principles and experience with pipelines using tools such as Jenkins or GitLab CI
• Experience with infrastructure-as-code tools such as Terraform, CloudFormation or AWS CDK
• Hands-on experience with distributed computing systems and processing large datasets
• Practical experience with containerisation and orchestration (e.g. Docker, Kubernetes)
• Good understanding of Linux systems, including networking and performance optimisation
• Familiarity with time synchronisation concepts and protocols such as NTP or PTP
• Strong communication and collaboration skills, with the ability to work effectively across teams and departments

Base salary range for this position is $150,000 to $240,000 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.

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

The Team

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems.

The Fleet Management team provides the core runtime environment that empowers our developers to build and ship products to delight our customers. We manage the end-to-end lifecycle of our Kubernetes fleet, alongside the critical components that ensure cluster reliability and security (e.g., CoreDNS, cert-manager, and Gatekeeper). As our infrastructure scales to support new use cases and products, we are spearheading a migration from Terraform-based Infrastructure as Code (IaC) to an Operator-driven lifecycle management model.

This role can be based out of our Austin, Boston, Los Angeles, New York City, Raleigh, or San Francisco offices, remotely in the United States region, or our European office in Dublin.

Responsibilities

• Contribute to developing and maintaining a scalable and secure runtime environment on top of Kubernetes that supports product needs across MongoDB
• Provide internal support for our Kubernetes ecosystem, partnering with engineering teams to help them solve domain-specific problems
• Participate in a 24/7 on-call rotation to resolve critical issues
• Prioritize blameless post-mortems and dedicate engineering time to systemic fixes, ensuring you aren’t paged for the same issue twice

You may be a good fit if you

• Have 6+ years of experience in software development and operating distributed systems
• Are proficient in Go, Python, or a similar language, with a strong commitment to code quality and testing practices (writing unit, integration, and E2E tests)
• Have deep experience using and extending containerization technologies, preferably Kubernetes
• Have a solid understanding of Linux operating system internals and networking concepts (e.g., filesystems, TCP/IP, DNS, TLS)
• Possess a customer focused mindset, treating internal developers as your primary users
• Have strong operational ownership, including a track record of debugging complex production issues and driving them to resolution
• Prefer automation over manual processes ("allergic to ops work")
• We are a small team of software engineers with a strong bias toward building software solutions to eliminate toil

Strong candidates may also have experience with

• Designing and implementing secure, multi-tenant runtime environments from first principles
• Proficiency with Kubernetes ecosystem tools such as Helm, Kustomize, Gatekeeper, Kyverno, and CRDs/Operators, CRI, CSI
• Expertise in cloud infrastructure platforms, including AWS, GCP, or Azure
• Proficiency in provisioning infrastructure using tools like Terraform, Crossplane, and AWS Controllers for Kubernetes (ACK)
• Advanced Linux systems internals and networking concepts specifically relevant to containers, such as namespaces and cgroups

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 over 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: 426182

MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently.

You will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll join a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture.

This role can be based out of our Boston, New York City, Raleigh, Miami, Pittsburgh or remotely in the United States while physically based in an Eastern or Central time zone location. 

The ideal candidate should

• Have 6+ years of experience working on software development and operating distributed systems
• Proficiency in Python, Go, or a similar language
• Have operated or supported stateful storage or database systems at scale, and are comfortable with durability, consistency, and recovery trade-offs.
• Possess a customer-focused mindset
• Value efficiency in processes and operations
• Prefer automation over manual processes. We are a small team of software engineers with a strong bias towards software solutions to avoid toil
• Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market
• Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure
• Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing)

Responsibilities 

• Work on our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs
• Build for reliability, making services and infrastructure available, resilient, fault-tolerant, and self-healing
• Identify and configure key metrics to detect incidents and quantify service health, availability, and performance
• Participate in a 24/7 on-call rotation to resolve issues involving the storage infrastructure
• Become an expert in infrastructure performance, helping us optimize from the application level all the way to the kernel

Strong candidates may also have experience with:

• Leading major architectural shifts, such as moving from legacy storage stacks to new multi-tenant storage architectures, including planning and executing large-scale data and workload migrations with tight availability and durability requirements
• Managing and scaling infrastructure across multi-cloud environments (AWS, GCP, or Azure)
• Designing secure, multi-tenant runtime environments at scale

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 over 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: 1273396252

The Site Reliability Engineering team designs and builds the global infrastructure on which we deploy our services, focusing on the above mentioned flagship MongoDB Atlas platform. As our customers grow and globalize, our services must satisfy demands for low-latency requests around the globe, and comply with various data sovereignty requirements. The SRE Team’s mission is to build this increasingly complex infrastructure, while continually lowering the operational burden associated with it, and increasing our internal visibility into the health of the system. We are strong believers in infrastructure-as-code and self-healing systems. The SRE Team is fully integrated with all the other engineering teams, and the teams work closely together with a soft and traversable boundary between their areas of responsibility.

We are looking to speak to candidates who are based in New York City for our hybrid working model.

Responsibilities

• Design and build the infrastructure for a global cloud service that comprises hundreds of thousands of MongoDB clusters, processes a billion metrics per day, and replicates tens of billions of database writes to our backup service
• Design, implement, and troubleshoot the automation and monitoring of services that seamlessly spans the globe - including several cloud providers
• Become an expert in infrastructure performance, helping us optimize from the application level all the way through the firmware
• Build for resilience. Our goal is that nobody’s pager goes off, ever. Are we there yet? No. Are we really close? Very. While we work on that - participate in a weekly on-call rotation
• Improve our infrastructure capabilities, optimizing for cost, simplicity, and maintainability

Requirements

• 3+ years of experience running a mission critical service at scale in a Linux environment
• Firm grasp of at least one modern programming language, beyond basic scripting
• Familiarity with web and network protocols and standards (HTTP, TLS, DNS, etc)
• Bachelor’s degree in Computer Science or equivalent experience
• Experience writing automation tools & eagerness to "automate all the things"

Nice to have

• Experience building large applications from scratch, complete with CI/CD infrastructure
• Experience in networking, security, hardware or OS performance tuning
• Experience with at least one of the major cloud providers (Amazon Web Services, Google Compute, Microsoft Azure)
• Experience managing kubernetes clusters or some other container orchestration infrastructure
• Experience with observability of large scale distributed systems

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: 3263213607

We are hiring an experienced Security Software Engineer (Staff or Senior) for our Infrastructure Security team to design and build scalable security controls and services within MongoDB Atlas multi-cloud infrastructure.

The team sits within the Site Reliability Engineering organization and works with other engineering teams to ensure that our infrastructure adheres to the highest security standards.

This role can be based out of our New York City, Austin, Seattle or San Francisco offices, or work fully remotely on standard East Coast business hours.

Responsibilities:

• Design and build core security primitives and services that protect MongoDB Atlas compute, networking, and identity across AWS, Azure, and GCP
• Build secure-by-default infrastructure using Linux security mechanisms (AppArmor, SELinux, seccomp, cgroups), Kubernetes, and eBPF to enforce runtime policies and gain deep visibility into systems behaviour
• Develop APIs, automation, and tooling that manage security posture at scale (CSPM, vulnerability management, workload identity) and provide monitoring, logging, and alerting pipelines that integrate with our tooling (Grafana, Splunk, Victoria Metrics.)
• Integrate security into our CI/CD and infrastructure-as-code workflows (Terraform) so that security controls are versioned, reviewed, and deployed just like any other code
• Lead complex projects end‑to‑end, from problem discovery and design docs to implementation, rollout, and long‑term ownership
• Collaborate with SRE, platform and product engineering teams to define secure architectures for new infrastructure and services

Qualifications:

You might be a great fit if you match some of the following:

• 5+ years of experience in Software Engineering, Site Reliability Engineering, or similar roles, preferably with relevant security work
• Proficiency with at least one programming language (Java, Golang, Rust, Python, or C/C++) and experience with infrastructure-as-code tools (Terraform) to automate security configurations and processes
• A deep understanding of Linux and networking concepts, including low-level fundamentals, and how they work together in complex systems
• Experience building security-related features or platforms such as runtime monitoring, CSPM, or vulnerability management
• Experience with a cloud provider (AWS, GCP, or Azure) and their security best practices and building blocks
• Hands-on experience with Kubernetes and its security ecosystem (e.g. RBAC, OPA/Gatekeeper, Kyverno, eBPF, Falco, Tetragon)
• A systems mindset: you think about failure modes, performance, observability, and operability alongside security and correctness
• Strong communication skills and the ability to explain complex security concepts and tradeoffs to both technical and non-technical stakeholders

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: 2263171228

MongoDB Technical Services Engineers use their exceptional problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Service Engineers are experts in the entire MongoDB ecosystem - database server, drivers, cloud and infrastructure. This also includes services such as Atlas (database as a service), or Cloud Manager (which helps customers with automation, backup and monitoring of their MongoDB systems). Our engineers combine their MongoDB expertise with passion, initiative, teamwork and a great sense of humor to achieve exceptional results for our customers.

The Federal Risk and Authorization Management Program (FedRAMP) is a US government-wide program that provides a standardized approach to security assessment, authorization, and continuous monitoring for cloud products and services. Our FedRAMP program requires that anyone who is accessing customer data or metadata inside the Authorization Boundary be a US Citizen on US Soil. In order for us to triage and assign cases, it is necessary to be able to identify available resources at any given time. For this reason the FedRamp team is composed of three separate shifts: first shift, second shift, and third shift. This posting is for Third Shift, in which your working hours would be 8pm-5am PST. There is a desired commitment to this shift though applicants must have the flexibility to work a more typical schedule (12pm-9pm PST) during their ramping period (between 6 to 9 months) before transitioning to Third shift.

Weekend Shift: We are looking to speak to candidates who are interested in working out of our West Coast offices under our flexible or remote working models, Monday to Friday for the first 6-9 months depending on ramping speed. Once considered ramped, they will transition to a permanent Wednesday to Sunday work week to provide weekend coverage alongside other peers. Saturdays and Sundays are considered fully online workdays and not an on-call shift. Due to the 24/7 nature of our support organization, certain events throughout the year will require volunteering for coverage outside one's normal work days or work hours (i.e. regional offsites, regional holidays, etc). These are typically announced weeks in advance with a sign-up system that considers equitability.

Cool things you’ll do

MongoDB is on a mission to change the way people think about databases. Along the way, our customers encounter questions and issues about how our approach to databases works for their use case. In Technical Services, it's our job to help these people.

You'll be working alongside our largest customers, solving their complex issues - resolving questions on architecture, performance, recovery, security, and everything in between. You'll be an expert resource on standard methodologies in running MongoDB at scale, whatever that scale may be. You'll be an advocate for customers' needs - working with our product management and development teams on their behalf. And you'll contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics. In addition, you will also be responsible for mentoring and ramping new team members and taking initiatives in building knowledge of new product lines within the MongoDB ecosystem.

What you need

We consider all candidates with an eye for those who are self taught, insatiably curious, and multi-faceted.

It’s important for candidates to check off these boxes:

• Systems engineering experience, including Linux performance, memory management, I/O tuning, configuration, security, networking, clusters, and troubleshooting
• Should have a good understanding of Networking concepts and protocols (DNS, TCP/IP, SSL/TLS, etc)
• Storage engineering experience, including NAS, SAN, SSD, multi-pathing, and caching
• Experience building and maintaining complex mission-critical production database systems
• Be able to read code, and basic coding/scripting ability in one or more languages: Java, Python, Ruby, C, C++, C#, Javascript, node.js, Go, etc
• Broad awareness of customer workloads and use cases, including performance, availability, and scalability
• Experience analyzing issues holistically, from the application tier through the database, down to the storage
• Genuine desire to help people
• Ability to think on your feet, remain calm under pressure, and solve problems in real-time
• Desire and ability to rapidly learn a wide variety of new technical skills
• Collaboration: willingness and ability to get help from team members when required, and the good judgment to know when to seek help

Bonus Points

• Experience managing large scale databases (e.g. RDBMS, NoSQL)
• Experience with authentication systems such as LDAP, Kerberos, AD
• Experience using or managing MongoDB
• Experience using distributed version control systems, and in particular git
• Experience using any cloud services stack such as AWS, Azure or GCP
• Experience with Kubernetes or other orchestration systems using vendor-specific Enterprise operators.

Success Measures

• In 3 months, you’ll have gained a deep understanding of MongoDB and its ecosystem. You will complete New Hire Training
• In 6 months, you will be comfortable working frontline with our customers. You will also complete the MongoDB Certified DBA Associate exam
• In 12 months, you will be a technical specialist within MongoDB and will be helping your peer engineers in advance diagnostics. Also, you will be encouraged to handle technical escalations independently

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: 1273373874

The MongoDB Cloud Services Team is a diverse group of contributors working together to help our users manage MongoDB at global scale. The Cloud Team is responsible for MongoDB Atlas: our database as a service offering, and fastest growing product, which allows users to deploy fault-tolerant, globally distributed MongoDB clusters in just minutes.

The Backup Team delivers essential infrastructure to help our customers in their hour of need - providing the ability to quickly restore a massive, distributed database to any point in time at the click of a button. The Backup Team’s mission is to make MongoDB backup more reliable, faster, and also cheaper.  This team is responsible for the Backup Agent (Go), the extensive server-side infrastructure (Java) which manages 100s of TB of data and processes billions of operations per day, and the user interface (Javascript)  that customers use to manage their backups.  Common project themes are performance, scaling, and ease of use. 

We're looking for someone who is

• Skilled at writing large-scale, distributed backend systems in a compiled language (Java, C#, Go, etc.)
• Fond of chasing down tough problems in a distributed systems environment
• Cool under pressure - has wrangled production crises, and secretly finds this a little fun
• Experienced with Linux, and able to correlate application performance problems with underlying hardware limits
• Comfortable working across the stack of a modern web application
• Always striving to expand their knowledge
• Curious, collaborative and intellectually honest 

Responsibilities

• Work closely with product teams, considering the user’s perspective while helping the team achieve success
• Collaborate with team members over best practices and core concepts
• Hold yourself accountable to your actions, maintaining the balance between accomplishing goals with research & development
• Own our core values and adhere to them in your work, and
• Stay up to date with best practices in web engineering 

Success Measures

A Software Engineer will be successful in this role when they

• Are open, honest and willing to contribute and collaborate with others
• Develop confidence in finding their way across the platform
• Can take responsibility for the planning and execution of a major feature, representing Engineering when working with Product and Design
• Are willing to learn and contribute to all parts of the stack
• Are resolute in their approach to problem solving, balancing the needs of their team with the willingness to get to the bottom of issues

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 over 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: 1273405624

MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently.

You will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll join a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture.

This role can be based out of our Toronto or Montreal office or remotely in the Canada while physically based in an Eastern or Central time zone location. 

The ideal candidate should

• Have 6+ years of experience working on software development and operating distributed systems
• Proficiency in Python, Go, or a similar language
• Have operated or supported stateful storage or database systems at scale, and are comfortable with durability, consistency, and recovery trade-offs.
• Possess a customer-focused mindset
• Value efficiency in processes and operations
• Prefer automation over manual processes. We are a small team of software engineers with a strong bias towards software solutions to avoid toil
• Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market
• Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure
• Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing)

Responsibilities 

• Work on our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs
• Build for reliability, making services and infrastructure available, resilient, fault-tolerant, and self-healing
• Identify and configure key metrics to detect incidents and quantify service health, availability, and performance
• Participate in a 24/7 on-call rotation to resolve issues involving the storage infrastructure
• Become an expert in infrastructure performance, helping us optimize from the application level all the way to the kernel

Strong candidates may also have experience with:

• Leading major architectural shifts, such as moving from legacy storage stacks to new multi-tenant storage architectures, including planning and executing large-scale data and workload migrations with tight availability and durability requirements
• Managing and scaling infrastructure across multi-cloud environments (AWS, GCP, or Azure)
• Designing secure, multi-tenant runtime environments at scale

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 over 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: 1273396252

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.

The Site Reliability Engineering team designs and builds the global infrastructure on which we deploy our services, focusing on the above mentioned flagship MongoDB Atlas platform. As our customers grow and globalize, our services must satisfy demands for low-latency requests around the globe, and comply with various data sovereignty requirements. The SRE Team’s mission is to build this increasingly complex infrastructure, while continually lowering the operational burden associated with it, and increasing our internal visibility into the health of the system. We are strong believers in infrastructure-as-code and self-healing systems. The SRE Team is fully integrated with all the other engineering teams, and the teams work closely together with a soft and traversable boundary between their areas of responsibility.

We are looking to speak to candidates who are based in Dublin for our hybrid working model.

Responsibilities

• Design and build the infrastructure for a global cloud service that comprises hundreds of thousands of MongoDB clusters, processes a billion metrics per day, and replicates tens of billions of database writes to our backup service
• Design, implement, and troubleshoot the automation and monitoring of services that seamlessly spans the globe - including several cloud providers
• Become an expert in infrastructure performance, helping us optimize from the application level all the way through the firmware
• Build for resilience. Our goal is that nobody’s pager goes off, ever. Are we there yet? No. Are we really close? Very. While we work on that - participate in a weekly on-call rotation
• Improve our infrastructure capabilities, optimizing for cost, simplicity, and maintainability

Requirements

• 3+ years of experience running a mission critical service at scale in a Linux environment
• Firm grasp of at least one modern programming language, beyond basic scripting
• Familiarity with web and network protocols and standards (HTTP, TLS, DNS, etc)
• Bachelor’s degree in Computer Science or equivalent experience
• Experience writing automation tools & eagerness to "automate all the things"

Nice to have

• Experience building large applications from scratch, complete with CI/CD infrastructure
• Experience in networking, security, hardware or OS performance tuning
• Experience with at least one of the major cloud providers (Amazon Web Services, Google Compute, Microsoft Azure)
• Experience managing kubernetes clusters or some other container orchestration infrastructure
• Experience with observability of large scale distributed systems

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 is an equal opportunities employer.

Req ID: 3263213607

We are hiring an experienced Security Software Engineer (Staff or Senior) for our Infrastructure Security team to design and build scalable security controls and services within MongoDB Atlas multi-cloud infrastructure.

The team sits within the Site Reliability Engineering organization and works with other engineering teams to ensure that our infrastructure adheres to the highest security standards.

This role can be based out of our Dublin office, or work fully remotely in Ireland.

Responsibilities:

• Design and build core security primitives and services that protect MongoDB Atlas compute, networking, and identity across AWS, Azure, and GCP
• Build secure-by-default infrastructure using Linux security mechanisms (AppArmor, SELinux, seccomp, cgroups), Kubernetes, and eBPF to enforce runtime policies and gain deep visibility into systems behaviour
• Develop APIs, automation, and tooling that manage security posture at scale (CSPM, vulnerability management, workload identity) and provide monitoring, logging, and alerting pipelines that integrate with our tooling (Grafana, Splunk, Victoria Metrics.)
• Integrate security into our CI/CD and infrastructure-as-code workflows (Terraform) so that security controls are versioned, reviewed, and deployed just like any other code
• Lead complex projects end‑to‑end, from problem discovery and design docs to implementation, rollout, and long‑term ownership
• Collaborate with SRE, platform and product engineering teams to define secure architectures for new infrastructure and services

Qualifications:

You might be a great fit if you match some of the following:

• 5+ years of experience in Software Engineering, Site Reliability Engineering, or similar roles, preferably with relevant security work
• Proficiency with at least one programming language (Java, Golang, Rust, Python, or C/C++) and experience with infrastructure-as-code tools (Terraform) to automate security configurations and processes
• A deep understanding of Linux and networking concepts, including low-level fundamentals, and how they work together in complex systems
• Experience building security-related features or platforms such as runtime monitoring, CSPM, or vulnerability management
• Experience with a cloud provider (AWS, GCP, or Azure) and their security best practices and building blocks
• Hands-on experience with Kubernetes and its security ecosystem (e.g. RBAC, OPA/Gatekeeper, Kyverno, eBPF, Falco, Tetragon)
• A systems mindset: you think about failure modes, performance, observability, and operability alongside security and correctness
• Strong communication skills and the ability to explain complex security concepts and tradeoffs to both technical and non-technical stakeholders

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 over 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 is an equal opportunities employer.

Req ID: 426183

The Team

This role can sit in our NYC HQ on a hybrid basis, or it can be fully remote while working from a location based in either Eastern or Central time zones. We are looking for an experienced Senior Engineer for our SRE, Atlas team to support, maintain and grow the Atlas platform. As a senior SRE, you will be expected to be able to design & build complex systems, operate with autonomy and act as owner for everything you do. 

The SRE Atlas team works alongside the various Atlas software engineering teams to provide expertise about running systems at scale, build new tooling and automation and perform essential maintenance of the Atlas fleet. 

This is an SRE team, which means you can expect a highly hands-on approach, tackling the technical challenges of implementing large scale solutions that have the ability to impact our customer’s most crucial workloads. 

Role Overview

We are seeking a talented Site Reliability Engineer (SRE) with a strong infrastructure background. This role requires engineers to have a customer-first mindset to ensure that everything we do results in a stronger product and a better experience for all Atlas customers. 

The ideal candidate should

• Have 5+ years of experience running critical systems at scale
• Value efficiency in processes and operations, and display a preference for automation over manual processes (“allergic to ops work”)
• Be familiar with a major cloud provider (AWS, Azure, or GCP) and possess the ability to build and operate systems in a multi-cloud environment
• A strong understanding of how to run a large scale Linux environment, including low level fundamentals 
• Firm grasp of at least one modern programming language, beyond basic scripting (Go, Ruby, Python)
• Solid understanding of web and network protocols and standards (HTTP, TLS, DNS, etc)

Special Requirements:

• Be a US Citizen

Expectations

• Participate in the development of a reliable and resilient multi-cloud platform that hosts business critical applications for a wide & varied range of customer applications
• Collaborate with service-owning teams to provide internal support, solve technical challenges and adapt or build tooling to solve novel use cases in a generic fashion
• Participate in a 24/7 on-call rotation to swiftly resolve issues related to any disruption of our customer facing Atlas fleet, ensuring minimal disruption and high availability

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: 426187

Candidates must be located in the eastern time zone.

About the Opportunity

Contentful strives to build a secure and safe service and commits considerable effort and resources to security. Our Security team supports organization-wide information security management programs and collaborates closely with internal teams. We believe that Security must be anchored by DevOps principles with strong repeatable processes.

We are looking for a committed and driven manager who is passionate about solving complex security problems in innovative and scalable ways, with deep experience leading incident response and detection programs at scale. As the Manager of Threat Detection and Response, you will own the operational and strategic direction of security incident response, including team development, program strategy, and capability maturity in alignment with broader security and company objectives.

You will remain hands-on, contributing to day-to-day detection and response activities while designing, building, and operating detection and response capabilities across cloud-native and corporate environments. You will lead large-scale, cross-functional incident response efforts, ensuring effective coordination, clear communication, and timely resolution of complex security events. This role requires strong expertise in detection engineering, attacker techniques, and modern security practices, with the ability to apply these concepts in practical and scalable ways.

You will drive continuous improvement across the Threat Detection and Response program and partner closely with security, IT, and cross-functional stakeholders to align priorities, execute shared initiatives, and ensure comprehensive risk mitigation while minimizing impact to end users across the organization.

 What to expect?

• Develop a team, providing coaching, mentorship, goal setting, and performance feedback.
• Mature effectiveness and efficiency by improving processes, tooling, and documentation.
• Collaborate with security leadership to execute business aligned, risk reduction roadmaps.
• Own execution and prioritization across projects and operations, using agile delivery practices.
• Shape work scope, sequencing, and success criteria in line with department and company needs.
• Enhance tooling, automation, and integrations to improve visibility and reduce manual effort.
• Perform daily alert investigation and response in a cloud-native and traditional environment.
• Investigate and lead teams responding to incidents of varying sizes and complexities
• Define roles and make hiring decisions to grow the team in line with department needs.
• Remain hands on, balancing technical leadership with direct response work.
• Communicate risks and technical concepts with clarity to leadership and stakeholders.
• Define and maintain metrics to measure impact, optimize execution, and guide investment.
• Accelerate adoption of AI, balancing practicality enablement, and risk management.
• Facilitate incident training, including table top exercises.
• Lead and refine detection engineering, including the creation and upkeep of threat detections.
• Collaborate on threat models by incorporating detection use cases into designs.
• Identify systemic issues and collaborate on approaches to address root causes.
• Compose high-quality incident and threat reports for executives.
• Provide insights and input on tool selection to help grow our cybersecurity portfolio.
• Ensure all end users receive delightful and informative interactions with Security.

What you need to be successful

• 6+ years experience in security operations, including alert triage and investigation
• 4+ years conducting large scale incident response activities with 2+ years leading
• 2+ years managing people and security operations teams.
• Comfort operating in ambiguity, balancing strategic thinking, security, and practicality.
• Ability to support occasional off-hours incident response efforts
• Expertise in attacker techniques in cloud-native and traditional environments.
• Hands-on experience owning security technologies (e.g., EDR, AntiVirus, etc.)
• Expertise in AWS audit and security services to investigate cloud centric threats
• Expert usage, data onboarding, and data administration within Splunk
• Mastery of investigation methods and capable of handling complex and ambiguous cases
• Practical experience with cross-platform and hybrid environment investigations
• Ability to perform detailed host analysis on Mac, Windows, & Linux systems
• Proficient in correlating patterns across assets and environments to support investigation.
• Incident lifecycle master with ability to cohesively manage simultaneous workstreams
• Ability to make tactical and fundamental recommendations to improve security
• Ability to design large-scale threat detection using diverse technologies and data sets
• Skilled in evaluating quantitative and qualitative effectiveness of security measures
• Familiarity with modern engineering and detection engineering practices
• Passion for solving complex security problems in innovative and scalable ways
• A drive for change through continuous improvement
• Capable of working independently but possesses a collaborative mindset
• Ability to work in a fast-paced environment, often juggling multiple projects
• Experience working independently and as part of a team

This position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment. 

#LIremote

What You'll Do:

The Fleet Reliability Operations team is responsible for the day-to-day provisioning, management and uptime of CoreWeave’s ever-expanding fleet of server nodes. Playing a central role in CoreWeave’s growth strategy, this team is on the front line for configuration, updates and remote troubleshooting of our highest tier of supercomputing clusters and their networking, delivery platforms and tools dependencies. You will be in a daily battle with the forces of entropy to maximize the number of nodes CoreWeave can deliver to customers.

We are seeking curious, creative and persistent problem solvers to join our Fleet Reliability Operations team to help us drive batches of server nodes through our provisioning and validation processes while efficiently and effectively troubleshooting node or cluster problems as they arise. This individual will join a team of committed engineers working to deploy nodes as fast as they can be racked and turned on. 

• Configure and maintain large-scale high-performance supercomputing clusters running state-of-the-art GPUs
• Troubleshoot hardware and software issues; escalate and coordinate as needed with data center, network, hardware and platform teams to drive resolution
• Monitor and analyze system performance and take appropriate remediation actions for cloud health
• Approach your work with flexibility and optimism anticipating shifting business and technical priorities
• Create and maintain documentation of team processes, knowledge and best practices for system management
• Think critically about your day-to-day work and work collaboratively to improve team processes and efficiency
• Participate in oncall rotations which include after hours and weekend work

Who You Are:

Minimum Qualifications

• Strong understanding of Linux system administration and internals
• Ability to troubleshoot hardware and software issues and perform system maintenance tasks consistently and reliably
• Software development or scripting languages (bash, python, powershell, etc)

Preferred Qualifications

• 2 + years of experience troubleshooting or administering data center or on-prem infrastructure (servers, storage, network or a mix)
• Grafana, Prometheus, promsql queries or similar observability platforms
• Data center environments including server racks, HVAC systems, fiber trays
• Kubernetes administration
• HPC - administering GPU-related workloads
• Bachelor’s degree in a related field or equivalent experience 

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 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 $83,000 to $110,000. 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). 

The Digital Technology team at BitGo is at the core of enabling secure, scalable innovation across the company. We’re looking for driven, high-impact individuals who are passionate about technology, take true ownership of their work, and thrive in a fast-paced, highly collaborative environment. As a key member of the DT team, you’ll play a critical role in supporting BitGo’s growth, security, and operational excellence. This is a fully onsite role, offering the opportunity to work closely with teammates and cross-functional partners in real time, drive hands-on technical initiatives, and make an immediate impact. Flexibility for occasional after-hours support is required to help maintain seamless operations in our dynamic, global environment.

This role will require being full-time onsite at our New York office to support collaborative team dynamics and innovative problem-solving.

Responsibilities:

• Analyze and resolve requests regarding IT systems issues and enhancements, leveraging analytical skills to diagnose root causes, implement timely and effective solutions, and drive continuous improvements through system modifications and process enhancements.
• Manage employee onboarding and offboarding processes, including account provisioning, access control, and secure deactivation of systems and devices. 
• Provision, configure, and maintain company laptops using MDM tools, ensuring compliance with security policies and asset management standards.
• Hands-on experience administering Okta, including lifecycle management, SSO integrations (SCIM/SAML/OIDC), group-based access controls.
• Administer, enhance, and support IT systems and applications (e.g., Entra ID, MDM, and SaaS-based tools) to ensure seamless integration, optimize workflows, and improve user productivity.
• Diagnose and perform basic troubleshooting of LAN, WAN, and other network-related issues.
• Troubleshoot and maintain Audio/Video systems for conference rooms.
• Configure, install, and monitor IT systems, maintain accurate inventory and asset records, and document best practices, ensuring all incidents, service requests, and changes are logged effectively.

Qualifications:

• 3+ years of experience in IT Support, IT Operations, or a similar technical role in a global company.
• 2+ Years of experience configuring and supporting Windows and macOS endpoints and their MDM platforms (e.g. Jamf, and Intune).
• Experience leading IT onboarding calls, guiding new hires through system setup, security requirements, and access configuration to ensure a smooth Day 1 experience.
• Basic network troubleshooting experience (e.g., LAN, WAN, patch management, etc.).
• Experience managing and participating in IT projects, collaborating with stakeholders and peers to ensure the successful delivery of business outcomes.
• Experience working in an agile framework such as Jira.
• Experience working and administrating ITSM platforms such as Jira Service Management (JSM) and Freshworks.
• Administration of Identity Management systems with users and groups.
• Hardware procurement and asset/inventory management.
• Proficient with Google Workspace, Slack, and Jira.
• Resourceful and analytical problem-solver with strong attention to detail, excellent communication skills, and the ability to quickly research and resolve technical issues.
• Self-motivated professional with the ability to effectively prioritize incoming requests, alerts, and tasks in fast-paced environments.

Preferred:

• Experience implementing AI-driven solutions and automation to improve operational efficiency. 
• Proficient with GAM (Google Apps Manager).
• Working knowledge of multiple operating systems, including Linux and Windows environments.
• Familiarity with SAML-based authentication and automated provisioning for Okta integrations.
• Familiarity with Zero-Trust security principles and access restriction policies.
• Familiarity with Okta Workflows.
• Experience managing physical access control systems (e.g., key fobs, biometric card readers).
• Certification in the technologies mentioned above is a plus.
• BS/BA in Information Technology, Computer Science or a related discipline.

Why Join BitGo?

Disrupting an industry takes vision, innovation, passion, technical chops, drive to deliver, collaboration, and execution. Join a team of great people who strive for excellence and personify our corporate values of ownership, craftsmanship, and open communication. We are looking for new colleagues who bring innovative ways of thinking and problem solving, and who want risks to be part of the team that changes the world’s financial markets.

Here are some of the benefits* of working at BitGo:

• Competitive base salary, bonus and stock options
• 100% company paid health insurance for employee, partner and dependents
• Up to 4% 401k company match
• Paid parental leave, Paid vacation
• Free commuter/parking pass
• Free custom lunches, dinners and snacks 
• Computer equipment and workplace furniture to suit your needs
• Great colleagues and inspiring startup environment

*Benefits may vary based on location 

Cryptocurrencies are the most disruptive change the financial services industry has seen in years. Join us and you’ll be able to look back and say you were part of the team that transformed investing.

Pay Transparency Notice: Depending upon your leveling and location, the compensation for this role averages between $75,000 - 90,000 USD base salary. Equity, an annual performance bonus and the benefits outlined below are also a part of this role's package. 

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

What We're Looking For

Lightning AI is seeking a Senior Storage Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will focus on building and operating the storage systems that power large-scale AI/ML training, inference, and HPC workloads. You will work at the intersection of software, hardware, and operations—developing automation, improving reliability, and scaling distributed storage systems across our bare-metal infrastructure.

You will help own the data plane of our storage infrastructure, supporting high-throughput, low-latency data access for some of the most demanding AI workloads. You’ll play a key role in managing and evolving our storage stack (including VAST and S3-compatible systems like Ceph), ensuring performance, reliability, and efficiency at scale.

We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.

What You'll Do

Storage Systems & Infrastructure

• Operate and scale distributed storage systems, including VAST and S3-compatible object storage (e.g., Ceph)
• Improve performance, reliability, and efficiency of storage systems supporting large-scale AI/ML workloads
• Troubleshoot complex storage and data path issues across hardware and software layers
• Optimize storage performance to support high-throughput, low-latency AI training and inference workloads

Automation & Tooling

• Build and maintain automation for provisioning, managing, and monitoring storage infrastructure
• Develop Python-based tools and workflows to reduce manual operational overhead
• Improve lifecycle management of storage clusters, from deployment through maintenance and scaling

Systems & Operations

• Manage and operate Linux-based systems in production, including bare-metal environments
• Partner with infrastructure and data center teams on hardware bring-up, upgrades, and issue resolution
• Support capacity planning, utilization tracking, and forecasting for storage systems
• Leverage monitoring and telemetry to diagnose issues and improve system performance and reliability

Cross-Functional Collaboration

• Work closely with Infrastructure Engineering, Network Engineering, and Platform teams to integrate storage into the broader platform
• Contribute to design discussions around new infrastructure deployments and scaling strategies
• Help define best practices for operating storage systems in high-performance computing environments

What You'll Need

Required Qualifications

• 5+ years of experience in infrastructure engineering, systems engineering, or related roles
• Hands-on experience operating distributed storage systems (e.g., VAST, Ceph, or similar)
• Strong Linux systems experience in production environments
• Proficiency in Python or similar scripting/programming languages for automation
• Experience working with bare-metal infrastructure and hardware-oriented systems
• Ability to debug complex issues across system boundaries (storage, OS, hardware, networking)
• Experience with storage networking protocols (e.g., NFS or similar)
• Experience with capacity planning, monitoring, and performance tuning

Ideal Experience

• Experience with VAST storage systems in production environments
• Experience operating S3-compatible object storage at scale
• Data center operations experience, including working with physical hardware
• Familiarity with AI/ML or HPC workloads and their storage requirements
• Background in high-performance or low-latency distributed systems
• Familiarity with high-performance data transfer technologies (e.g., RDMA, GPU Direct Storage)
• Experience supporting GPU-based workloads or large-scale compute clusters

Compensation

What We're Looking For

Lightning AI is seeking a GPU & Compute Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will own image management, system diagnostics, and validation across large-scale bare-metal compute infrastructure, with a particular focus on GPU-enabled systems. You will work at the intersection of hardware, systems, and software—developing automation, improving reliability, and enabling efficient cluster bring-up for AI/ML and HPC workloads.

You will play a key role in owning and evolving our image pipeline, running validation environments and test clusters, and supporting both system-level and GPU hardware qualification. This role is critical to ensuring that our infrastructure is consistent, performant, and ready to support demanding AI workloads from day one.

We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.

What You'll Do

Systems, Image & Validation Infrastructure

• Own and evolve systems for image management, deployment, and validation across bare-metal infrastructure
• Run and maintain test clusters used for system validation, diagnostics, and bring-up
• Validate firmware, drivers, and OS images across compute and GPU-enabled systems
• Support hardware qualification efforts for next-generation platforms

GPU Diagnostics & Performance

• Own GPU diagnostics and validation workflows across large-scale infrastructure
• Diagnose and resolve complex issues across GPUs, drivers, OS, and hardware layers
• Analyze system and GPU performance using tools such as NVIDIA DCGM
• Identify failure patterns and drive improvements in system stability and validation coverage

Automation & Tooling

• Build and maintain automation for provisioning, validation, and system bring-up
• Develop Python-based tools and workflows to improve efficiency and reduce manual operational overhead
• Improve the reliability, repeatability, and scalability of image pipelines and validation systems

Systems & Operations

• Manage and operate Linux-based systems in production and validation environments
• Manage virtualization technology
• Support bare-metal provisioning workflows, including PXE and image-based systems
• Interface with hardware management systems (e.g., IPMI, Redfish) for monitoring and debugging

Cross-Functional Collaboration

• Partner with Infrastructure, Hardware, and Data Center teams on system bring-up and validation
• Collaborate with platform and ML teams to ensure systems meet workload requirements
• Contribute to best practices for provisioning, diagnostics, and lifecycle management of infrastructure

What You'll Need

Required Qualifications

• 5+ years of experience in infrastructure engineering, systems engineering, or related roles
• Strong Linux systems experience in production environments
• Hands-on experience with GPU-enabled systems and tools such as NVIDIA DCGM
• Familiarity with bare-metal provisioning and system bring-up workflows
• Proficiency in Python or similar scripting/programming languages for automation
• Ability to debug complex issues across hardware, OS, GPUs, and system software

Ideal Experience

• Experience with high-performance interconnects (e.g., InfiniBand, NVLink)
• Experience with PXE boot environments, LiveCD systems, or image-based provisioning workflows
• Experience with hardware management interfaces such as iDRAC, IPMI, or Redfish
• Data center operations experience, including working with physical hardware
• Experience supporting AI/ML or HPC workloads at scale
• Experience with GPU validation frameworks or large-scale hardware qualification processes

Compensation

We see the world differently at Capstone Investment Advisors. You will, too.

Capstone Investment Advisors, LLC (“Capstone”) is a global asset manager, dedicated to exploring alpha opportunities in derivatives and complementary strategies that persist across market cycles. With approximately $11.8 billion of AUM (as of November 1, 2025) and 326 employees, Capstone is headquartered in New York with offices in London, Amsterdam, Stamford, Los Angeles, Boston, Tokyo, Milan, Texas, and Maryland. Since 2004, through strategic insight, market-leading expertise, and advanced technology, we have sought to anticipate and harness the complexities of world markets, creating unique opportunities for our clients, team, and industry. 

With our sophisticated, global client base, we recognize that our success is deeply connected to real people. For that reason, we take a human approach to everything we do, focusing largely on collaborative performance. Our workflow and process are built around the belief that by sharing ideas, we achieve greater outcomes. This gives you greater access to resources, direct exposure to senior leadership, and new opportunities to experiment and innovate. 

Overview: 

We are seeking a highly motivated and service-driven professional to join our Application Support team. In this role, you will provide responsive, high-quality technical support for our world-class in-house trading system used by our investment team. Working closely with cross-functional development teams and in direct partnership with portfolio managers, quantitative researchers, traders, and operations teams, you will ensure seamless system performance while troubleshooting complex issues.  

The ideal candidate possesses exceptional problem-solving abilities, a collaborative mindset, strong customer service skills, and can bring innovative ideas to life. This position offers outstanding exposure to diverse areas of our hedge fund, making it an excellent opportunity for someone passionate about the intersection of finance and technology. 

Responsibilities and Impact:

• Responsible for the administration, monitoring, and maintenance of software applications
• Ensure trading systems are performing as intended through a series of system checks
• Respond to issues raised by investment or middle office teams
• Perform QA testing for new functionality
• Develop relationships with business community and market data providers
• Prioritize issues raised and resolve them accordingly
• Diagnose, investigate, and resolve production issues across Capstone's trading systems and manage communications with investment, risk, and other operational teams
• Build alerting tools, manage logs, and analyze system performance to proactively detect issues, assess operational risk, and drive continuous improvement
• Identify bottlenecks in the systems and assist in implementing robust solutions that improve stability and efficiency
• Collaborate with internal teams to escalate and resolve complex technical problems in a timely manner
• Liaise with external brokers/vendors on order flow issues and minimize disruption
• Maintain clear documentation of critical systems, workflows, and support procedures 

Our future colleague has these skills:

• Bachelor’s degree in an IT related discipline 

• 5-10 years’ experience working in a production support function
• Understanding of one or more global market asset classes
• Experience working in a fast-paced environment with an ability to work under pressure and deal with stressful situations
• Strong interpersonal skills and ability to work with various stakeholders across various teams
• Technical skill set required, preferably Python and exposure to trading systems [EMSX, Flextrade or similar EMS systems]
• Knowledge of FIX, Linux and SQL Server is essential
• Experience with Marketdata, GIT, Jira
• Must be flexible with work hours and/or expected to respond to and troubleshoot issues 

Benefits & Compensation Information:

Our team is our most important asset and investment. We value and respect our colleagues and their well-being inside and outside the workplace and our culture reflects this.  We offer a robust and competitive benefits program to ensure the well-being of our colleagues.  

Some benefits included in this role are: 

• Training and development opportunities 

• Robust Wellness Resources: Physical, Mental and Financial 

• Time-Off, Retirement and Commuter Benefits 

• Gym Reimbursement and other Discounts 

The applicable base salary range for this role is $150,000-$180,000. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. 

In addition to base compensation, this role is eligible for an annual incentive plan. 

To learn even more about being part of the team, visit us online: Careers - Capstone (capstoneco.com)

Don’t forget to follow us on LinkedIn

Capstone’s Commitment

At Capstone, we value a diverse, equitable, and inclusive workplace where all employees feel appreciated and respected. Our commitment to a nondiscriminatory approach extends equal opportunities for employment and advancement across our programs, departments, and locations. We actively seek and appreciate a variety of life experiences and heritages and advocate for the amplification of all voices.

At Capstone, we're all about creating a workplace where you can thrive and make a real impact. We value innovation, teamwork, trust, and discipline, and we know you do too.

Experimentation: We love fresh ideas and encourage you to try new things. Here, you’ll have the freedom to innovate and help shape our strategies.

Collaboration: We’re big on teamwork. You'll join a supportive community where everyone’s input matters, and we learn from each other every day.

Trust: We believe in building strong, honest relationships. You'll be part of an environment where your contributions are respected and integrity is key.

Discipline: In our fast-paced world, staying focused is crucial. We commit to high standards and a disciplined approach, helping you grow both personally and professionally.

Be part of a team that values your creativity and dedication. Together, let's push boundaries and achieve great things.

Equal Opportunity Employer
Capstone is committed to creating an inclusive environment where we welcome people of different backgrounds. Capstone considers applications for employment without regard to all applicable protected characteristics, including race, color, religion, ethnicity, national origin, gender, sexual orientation, gender identity or expression, age, parental status, veteran status, or disability status.

About The Role

We are seeking a Senior Project Engineer in the Global Services division with expert experience in Cloud Security, IoT Systems, Networking, Linux systems, Security Surveillance, and Access Control. You will partner with the Global Services Manager and Territory Account Executives to service large and strategic customers within the Verkada footprint. In this role, you will interface with customers and partners on post-sales deployment project management, assisting with technical issues and providing expert-level configuration and training on Verkada Products. We need someone who will be highly motivated, able to learn quickly, and work independently while making an impact on the success of our Global deployments. 

We are committed to a thriving in-office culture. This role requires that you be on-site 5 days per week in New York City, NY.

What You'll Do

• Be the subject matter authority on the full Verkada suite of products and offerings and provide expert-level service to customers during the post-sales process
• Serve as the project management arm for customer accounts, ensuring successful deployments of Verkada products in the customer’s environment
• Magnify the value of Verkada products for customers through configuring and fine-tuning product features, use cases, and analytics; provide vendor-led training to customers
• Effectively serve as the technical voice to all levels of customer, from C-level executives to loss prevention managers and directors of IT
• Work directly with your Global Services Manager and Sales Account Executives to develop services strategies and workflows for the customer, as well as participate in cross-selling and up-selling opportunities
• Be a Product Technical Evangelist in training/educating partners, customers, and internal employees on the latest Verkada product offerings

What You Bring

• 4+ years of experience as a Sales Engineer, Technical Account Manager, Network Engineer, or Professional Services Consultant with a proven track record of working with Fortune 500 companies
• Bachelor's degree in Computer Science, Computer Engineering, Information Technology, Information and Computer Technology, Networking, IT Security, or similar field 
• Ability to gain FedRAMP Compliance: Must be a U.S. Citizen or Permanent Resident (Green Card) 
• Strong background in Computer Networking: HTTPS/SSL, VLANs, TCP/IP, DNS, NAT devices, DHCP servers, firewalls, and software systems
• Outstanding written & verbal communication skills to efficiently articulate technical matters with customers and partners
• Entrepreneurial and positive attitude with a strong desire to learn
• Ability to adapt to an ever evolving workplace and company
• Genuine excitement for software/hardware products, Cloud Security, and IoT devices
• Travel up to 25%

Preferred Qualifications

• Industry certifications such as AWS, CCNA, CCDA, CCNP, MCSE, CEH, Security+, A+, Network+
• Experience working with Linux systems 
• Previous startup experience

Employee Benefits

Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to:

• Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans
• Nationwide medical, vision and dental coverage
• Health Saving Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving options
• Expanded mental health support
• Paid parental leave policy & fertility benefits
• Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time
• Professional development stipend
• Fertility Stipend 
• Wellness/fitness benefits
• Healthy lunches provided daily
• Commuter benefits

Additional Information

• You must be independently authorized to work in the U.S. We are unable to sponsor or take over sponsorship of an employment visa for this role, at this time.

Senior Data Infrastructure Engineer

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.

At IEX, we are solving complex data problems with best-in-class technology to help achieve our mission of creating fairer financial markets. We are looking for a strong Senior KDB Developer to join our team and help us build new products that will better serve our core customers. This person will have the opportunity to play a key role in developing new platforms for IEX and solve interesting financial data problems.

If you are up for working in a fast-paced environment and a highly collaborative FinTech team elevating the playing field—join us!

About You:

• Detail-oriented
• Analytical mindset with excellent problem-solving abilities
• Excellent communication skills
• Collaborative team player who thrives in a dynamic environment
• Eager to contribute to multiple initiatives in a fast-paced environment

What You’ll Do:

• Design and develop scalable databases and data platforms
• Build GUI tools to help visualize data
• Architect and implement complex data solutions from the ground up
• Maintain and support critical data services, including participating in support rotations
• Perform data maintenance, backup and security checks
• Optimize data access
• Integrate and manage third-party data sources
• Ensure data security in accordance with internal policies and procedures

Your Background:

• 7-10 years of experience in data engineering
• 7+ years of KDB+/Q
• Expertise in Python
• Advanced Linux user
• Preferred:
  • Knowledge of databases, development, and internet software
  • Knowledge of Java/C++
  • Understanding of financial products and equities
• Good to have:
  • Experience with KX Dashboards
  • Knowledge of working with cloud platforms (AWS, Google and/or Microsoft)

Our job titles may span more than one career level. The starting annual base pay is between $200,000 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

About the Role

The Platform Infrastructure team at iCapital plays a critical role in ensuring that both production and development environments operate smoothly, securely, and reliably. This role leverages advanced cloud capabilities to support the Platform Infrastructure strategy of market agility and lean operating principles, with a strong emphasis on quality to meet the ever‑growing demands of our clients.

We are seeking highly collaborative, creative, and intellectually curious MLOps/DevOps Engineers with deep expertise in machine learning operations, cloud infrastructure, CI/CD automation, Kubernetes, and security. This role requires hands‑on experience designing, building, and operating scalable DevOps and enterprise‑grade MLOps platforms, including model lifecycle automation, observability, and governance.

As a Platform Engineer, you will wear multiple hats in a highly visible role, partnering closely with engineering, security, data, and business teams to deliver secure, reliable, and highly automated platforms that support both application and machine‑learning workloads.

Responsibilities

• Design, build, and operate MLOps pipelines supporting the full ML lifecycle (training, validation, deployment, monitoring).
• Enable production workloads for AI/ML and Generative AI systems, including LLM‑based services.
• Develop and maintain CI/CD pipelines for AI/ML services and supporting infrastructure.
• Build and manage cloud‑native infrastructure on AWS, with heavy use of Kubernetes and containerized workloads.
• Automate infrastructure provisioning and configuration using Infrastructure as Code (Terraform).
• Implement model versioning, experiment tracking, and artifact management across environments.
• Ensure reliability, scalability, observability, and cost efficiency of AI platforms.
• Partner with AI/ML engineers to operationalize models and standardize deployment patterns.
• Implement monitoring and alerting for system health, model performance, and drift.
• Enforce security, compliance, and governance requirements for AI workloads.
• Participate in incident response, root cause analysis, and continuous improvement initiatives.
• Document standards, best practices, and reference architectures for MLOps and AI infrastructure.

Required Qualifications

• 15+ years of experience in DevOps, SRE, or Platform Engineering, with AWS as a primary cloud.
• Experience supporting machine learning systems in production, including deployment and monitoring concerns.
• Hands‑on experience with machine learning platforms, particularly AWS SageMaker (required).
• Strong hands-on experience with Kubernetes, containerized workloads, and cloud networking.
• Proven experience building and operating CI/CD pipelines (e.g., GitLab CI, ArgoCD).
• Strong proficiency with Terraform and scripting/programming in Python or similar languages.
• Solid Linux, systems, and troubleshooting fundamentals.
• Excellent communication skills and ability to work across teams.
• Direct experience with MLOps platforms and tooling (model registries, experiment tracking, feature stores).
• Exposure to Generative AI / LLM workloads in production environments.
• Familiarity with data stores commonly used in ML systems (e.g., Postgres, DynamoDB, object storage).
• Experience operating in regulated or fintech environments.
• Background in cost optimization for compute‑intensive workloads.
• Strong written and verbal communication skills.
• AWS certifications are a plus.

Benefits

The base salary range for this role is $180,000 to $230,000 depending on experience.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics

About the Role

We are seeking a highly skilled and experienced Principal Engineer to join our Engineering team. As a Principal Engineer, you will be responsible for leading the design, development, and implementation of our brokerage systems. You will work closely with our engineering team and other stakeholders to create scalable, low latency, and highly available trading systems. 

What You’ll Do

• Responsible for the technical architecture, design and delivery of high performance, low-latency brokerage systems using Java/Golang
• Assesses the health and performance of software applications and databases and provides software and technology solutions
• Design, develop, and maintain REST APIs and microservices.
• Work with the Broker Dealer Operations teams to support and enhance the trading and backend system for multiple asset classes like Equities, Options, Mutual Funds etc
• Define specifications and develops components, modifies existing software stack, prepare test data, and prepares functional specifications
• Analyze Service and application performance using various programming
• languages, tools and techniques
• Develop and maintain automated testing frameworks and CI/CD pipelines
• Provide technical leadership and mentorship to the engineering team
• Provide guidance to non-technical staff in using software and hardware systems most effectively and efficiently
• Support applications with an understanding of system integration, test planning, scripting, and troubleshooting
  
  

What You’ll Need

• Bachelor’s degree in Computer Science or related field or equivalent experience
• At least 10 years of experience in Software Engineering with expertise in Java
• Must understand Test Driven Development and how to write effective unit/integration tests
• Strong understanding of CI/CD and automated testing frameworks
• Proficient in developing and maintaining robust REST APIs and implementing sophisticated event-driven architectures with Kafka and Kubernetes
• Background in financial technology or capital markets is required
• Proficient in No SQL, SQL and Stored Procedures such as in Postgres, MySQL
• Experience with Unix, Linux Operating Systems
• Knowledge of Jira, Git, Jenkins
• Experience with a 24x7, highly-available architecture
• Strong experience with Amazon Web Services
• Experience with Scrum and other Agile processes
• Strong communication skills
• Strong analytical and problem-solving skills
  
  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 Rqequired)

• Experience with Amazon Web Services
• Experience with Linux and writing scripts to extract and transform data
• Multiple years experience in fin-tech specifically Post Trade, Payment or SaaS

Role/Responsibilities:

The Cubist Business Management team manages all aspects of onboarding new systematic equity trading teams and systematic macro trading teams as well as deployments of new trading strategies.  The team also represents PMs with external counterparties and is responsible for rate negotiations, quant research vendor relationship management and trading relationship management. General responsibilities include, but are not limited to, assisting veteran Cubist Business Management team members along the following lines:

• Complete project lifecycle management launching new PM Teams into production
• Design PM research and trading solutions that adhere to firm standards
• Educate PM teams on Point72 operating procedures and technology integration
• Lead new strategy rollout projects internally with Technology, Operations, Legal, Compliance, and Risk groups, and externally with brokers, exchanges, and vendors
• Provide day-to-day support for various operational procedures such as broker data management, compliance monitoring, trading, and business continuity

The person in this role must have a technical background as well as good communication skills and a willingness to learn day-to-day trading and finance operations.  The candidate should have a good understanding of global market structure and electronic trading systems and have familiarity with trading rules and regulations or demonstrate an aptitude to learn. Familiarity with research and market data sources is a strong plus but not a requirement.

Job Requirements:

• This is a selective position. The ideal candidates will have a combination of software development and communication skills with some experience working in a financial services organization.
• A BS in finance, statistics, math, and engineering or computer science is strongly preferred. 2 years of relevant work experience is a plus.
• Must have the ability to assist veteran specialists while simultaneously managing multiple long-term and short-term projects independently under very tight project deadlines.
• Must have strong inter-personal skills, excellent time management skills and a team attitude
• Ability to clearly document technical specifications and articulate concepts in a less-technical fashion.
• Working experience in Python and SQL. Linux/Unix scripting (Perl, bash, etc.) a plus.
• Additional experience with database design is a plus.
• We support systematic trading in liquid instruments (global equities, futures, and foreign exchange) as well as systematic trading in macro instruments (e.g. bonds, rates, and credit). Candidates with specific work experience and knowledge of market regulations in these areas will be strongly preferred but not required.
• Working experience with digital currency exchanges, liquidity providers, derivative financial products, and business operations a plus.
• Commitment to the highest ethical standards.

Role Summary:

Datadog is seeking a Staff Software Engineer to help shape the future of our Bring Your Own Cloud (BYOC) Logs offering by unifying observability pipelines with log management software that customers deploy and manage in their own infrastructure. This role will focus on building and scaling systems that process, route, and store high-volume observability data within customer-managed infrastructure. You will operate as a hands-on technical leader, driving architecture, cross-team delivery, and product direction across a complex and evolving space. This is a high-impact opportunity to influence product strategy, mentor engineers, and solve deeply technical challenges at scale.

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:

• Make customer-controlled deployments feel like a managed Datadog product: deployment, upgrades, configuration, observability, diagnostics, reliability, and secure operation across diverse customer cloud environments
• Build and scale high-throughput systems for log processing, routing, and transformation across distributed environments
• Lead cross-team initiatives, aligning engineers, product managers, and stakeholders to deliver complex, multi-team projects
• Design and implement software that runs reliably that customers deploy and operate within their own cloud infrastructure.
• Improve system performance, scalability, and cost efficiency through thoughtful trade-off analysis and capacity planning
• Contribute hands-on to critical code paths, debugging, and deployment challenges in customer environments
  
  

Who You Are:

• You have significant experience building software that is installed, deployed, and operated in customer environments rather than only as a fully managed SaaS service.
• You have strong expertise in distributed systems, including scalability, performance optimization, and high-throughput data processing
• You are proficient in systems-level programming (e.g., Go, Rust, or C++) and understand how software runs across diverse environments (e.g., Linux systems)
• You have experience with cloud platforms (e.g., AWS, Azure, or GCP) and are comfortable troubleshooting infrastructure and networking issues
• You are experienced with containerization and orchestration technologies such as Kubernetes in production environments
• You have a track record of leading large, cross-functional engineering efforts and influencing technical direction across teams
  
  

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:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture

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

#LI-Hybrid

Hudson River Trading (HRT) is looking for a Data Production Engineer to join our Data team. Data is at the core of everything we do at HRT; we excel at deriving deep insights from all types of data, allowing us to achieve consistent success in a dynamic market. 

This role is an opportunity to work directly with live trading teams to support one of the largest automated trading systems in the world. You will write automation, explore data, work closely with our research and trading teams, and interact with a variety of external partners such as data providers, brokers, and exchanges. In addition to being a critical part of the trading process, you will have the opportunity to acquire, analyze, and prepare data for quantitative research. 

Responsibilities

• Data Engineering: Write tools to classify, onboard, and reconcile data. Onboard datasets, explore data, and automate tasks using a modern Python data stack
• Data Analysis: Parse, analyze, and understand data sets. Perform data reconciliations, validations, and quality checks. Identify and develop new processes within the data request process to enrich data. Assist our researchers in cleaning and featurizing data
• Data Debugging: Find anomalies in derived datasets and trace the issues back to their source. This can include using a mix of deductive reasoning, technical analysis, and communicating with multiple stakeholders in a data pipeline
• Production Support: Provide proactive oversight of our data pipeline, handle inquiries from internal customers, and resolve issues under efficient turnaround times

Profile

• Track record of being detail-oriented and thorough
• You excel in problem solving and researching large datasets to resolve complex issues
• You have a collaborative attitude that lends itself to cross-team customers and projects 
• You thrive in the fast-paced environment of a daily live trading operation 

Qualifications

• 2+ years of experience in a data engineering/science role OR a degree in data science or a similar discipline 
• Experience in Python strongly preferred 
• Experience managing ETL pipelines is a plus
• Experience with financial datasets (e.g. Refinitiv, S&P, Bloomberg) is a big plus
• Comfortable with the Linux command line
• Experienced in at least one SQL dialect (PostgreSQL, MSSQL, MYSQL) and able to use others as needed
• Able to provide technical support in a production trading environment

Hudson River Trading (HRT) is seeking a Middle Office Analyst to join our team in New York. The Middle Office team is responsible for ensuring the smooth operation of HRT’s post-trade platform, which supports the firm’s trading across many asset classes and geographies. Our team designs and operates the systems and processes that reconcile HRT’s trading with our various brokers and counterparties, and collaborates with multiple teams to research corporate actions, maintain commissions programs, and track all costs incurred by HRT’s trading.

Being a member of the Middle Office team means working within a tight-knit, highly productive unit. We're looking for someone who loves technology and wants to work on a variety of operational projects using whatever tools best solve the problem at hand. Due to the high volume of trades and complexity of our systems, we rely heavily on automation and seek candidates with exceptional attention to detail, excellent communication skills, and a can-do attitude.

Responsibilities

• Work closely with external counterparties to monitor and resolve daily position, trade and cash discrepancies, supporting effective book management
• Work closely with multiple internal stakeholders to identify and implement improvements to our current workflow
• Document complex processes to develop middle office guidelines
• Onboard new trading into existing technology and platforms
• Reconcile daily position, cash, and PnL breaks in coordination with both internal and external parties
• Research & process applicable corporate actions
• Maintain and update the commission structures across all markets

Qualifications

• 3-5 years of relevant financial markets industry experience
• Knowledge of Futures, FX, or Fixed Income products is a plus
• Understanding of corporate actions and exposure to the complex commission schedule of various markets
• Working knowledge of UNIX operating systems (we use Linux)
• Intermediate knowledge of Python and SQL/relational databases; knowledge of additional programming languages like C++ is a plus
• Excellent cross-functional communication and collaboration skills 
• Ability to take ownership of your work, and admit and learn from mistakes
• Ability to debug, analyze, and troubleshoot problems quickly under pressure
• Desire to work with people who challenge you and make you better at what you do
• Comfort working independently in a fast-paced, high pressure environment

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.

About Us

AXQ Capital is a global quantitative investment firm with offices in New York, Beijing, Shanghai, and Hong Kong. We pursue consistent alpha through rigorous scientific research and sustained investment in technology and data infrastructure. Our strategies are deployed across global markets, spanning multiple geographies, asset classes, and trading horizons.

Responsibilities 

As a Quantitative Developer, you will work closely with our research and engineering teams to contribute to solutions across strategy research, systematic trading, and risk management. Working under the guidance of senior team members, your work will include:

• Contributing to global multi-market connectivity and cross-region, multi-asset-class data, research, backtesting, and trading systems — taking ownership of well-scoped components and growing into broader areas of the stack

• Helping build and maintain event-driven backtesting and simulation frameworks, with attention to consistency in data semantics and time models across research, backtesting, and production environments

• Implementing and improving pieces of our order management, execution, and real-time risk systems, with a focus on writing correct, well-tested, and performant code

Requirements

• 0–3 years of software engineering experience, including internships; prior exposure to quantitative finance is a plus but not required

• Bachelor's degree or higher in Computer Science, Natural Sciences, Engineering, Financial Mathematics, or a related quantitative field

• Solid programming skills and computer science fundamentals; proficient in Python, with working knowledge of (or strong interest in learning) a statically-typed language such as C++, Rust, or Go

• Familiarity with Linux, basic networking, and concurrency concepts; willingness to deepen these skills on the job

• Curiosity, drive, and the ability to learn quickly when tackling unfamiliar problems

• Sense of ownership over the work you take on, and willingness to ask questions early

• Internship, research, or personal project experience related to trading systems, market data, or backtesting

• Coursework, competitions, or open-source contributions demonstrating strong engineering or quantitative skills (e.g., ICPC, Kaggle, well-maintained GitHub projects)

• Effective use of AI-assisted coding tools (e.g., Claude Code, Cursor, Codex)

As a DevOps Engineer at Octus, you will play a crucial role in the development, implementation, and maintenance of the cloud infrastructure for our products. This position involves close collaboration with Application Developers, Data Engineers, SRE, Security, and IT professionals to automate and streamline operations and processes. Your contributions will be essential in ensuring the reliability, scalability, and security of our systems and applications.

Core Responsibilities:

• Design, implement, and maintain CI/CD pipelines to automate the build, test, and deployment processes.
• Effectively prioritize workload with a constant focus on increasing developer efficiency.
• Manage and optimize cloud infrastructure to ensure scalability, performance, and cost-effectiveness. Experience with AWS is a plus.
• Work closely with SRE to develop and maintain monitoring and alerting systems to ensure the health and performance of our systems and applications.
• Work closely with Security to implement and enforce security best practices across our infrastructure and applications.
• Collaborate with software developers to optimize application performance and reliability.
• Participate in the planning and execution of disaster recovery and business continuity strategies.
• Effectively communicate with stakeholders to provide updates on project statuses, issues, and recommendations.
• Participate in on-call rotation to provide system support.

Core Requirements:

• At least 5 years of experience in a DevOps role.
• At least 2+ years of experience with Terraform.
• Expert knowledge of cloud concepts and services (EC2, ECS, S3, RDS, A/ELB, EBS, VPC, Route53 or equivalent).
• Expert level knowledge of Linux. Strong scripting skills for automation and tooling.
• Ability to troubleshoot, diagnose, resolve & document RCA of incidents.
• Good knowledge of database configuration, concepts, maintenance, and troubleshooting.
• Thorough understanding of Security principles and experience in designing, implementing, monitoring proper controls.
• Extensive experience with Infrastructure-as-code & configuration management tools (Terraform, SaltStack or equivalent).
• Experience with containerization technologies such as Docker and orchestration tools like Kubernetes, ECS including managing microservices architectures.
• Knowledge of CI/CD tools such as Jenkins, Github Actions or equivalent.
• Experience with monitoring and logging tools such as Datadog, Cloud Watch or equivalent.
• Excellent communication skill, with the ability to effectively collaborate with cross-functional teams.

At Octus, we consider a range of factors in connection with compensation decisions, including experience, skills, location, and our business needs and limitations. As a result, compensation may vary within and across similar roles and positions. Please note that the salary range information below is a good faith estimate for this position and actual compensation for any individual may fall outside this range if warranted by the circumstances applicable to that individual. If we identify a role that would be suitable for a broader range of skills and experience such that we would consider hiring at multiple levels then the range listed below may reflect that breadth.

The salary range estimate for this position is $165,000 - $190,000.

The actual compensation will be at Octus' sole discretion and will be determined by the aforementioned and other relevant factors.

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 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 a quantitative trading firm at the forefront of technological innovation. We build and deploy cutting-edge systems within one of the world’s most advanced computing environments to power our global trading operations.

HRT is seeking an experienced Security Engineer to join our growing Security Operations team. In this role, you’ll have the opportunity to design, build, and support strategic solutions that protect and maintain HRT’s global cyber security systems.

We are looking for someone with exceptional engineering and cross-functional communication skills. The ideal candidate is proficient in a programming language (Python preferred), has deployed and maintained automated systems, and has experience with security data engineering. This role also requires robust technical troubleshooting skills and exceptional organizational and project management skills. 

Responsibilities

• Help maintain and enhance HRT’s security detection and response program to protect our data and intellectual property from both internal misuse and external threats
• Build and maintain end-to-end pipelines to ingest, parse, map, enrich, visualize, and analyze raw logs from disparate sources
• Design, build, and maintain innovative solutions to supercharge incident response
• Respond to malicious activity and anomalous events on HRT’s devices and networks
• Maintain and enhance HRT's data loss prevention systems to better detect advanced insider threats 
• Foster strong cross-functional relationships with HRT’s global teams and external vendors

Qualifications

• 5+ years of experience in a security engineering role
• Extensive programming experience, preferably in Python
• Experience designing, building, and maintaining automated systems
• Strong security fundamentals (SOC experience is a plus)
• Experience with security data engineering (ELK stack is a plus)
• Experience working with and securing Linux systems (Debian is a huge plus!)
• Willingness to work an on-call rotation during business hours and one weekend per month

The estimated base salary range for this position is $150,000 - $250,000 per year, based on job-related skills and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

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.