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

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

Responsibilities

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

Qualifications

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

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

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

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

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

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

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

Responsibilities

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

Qualifications 

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

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

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

We are looking for a Senior Manager who is passionate about building and modernizing Network Infrastructure.

As a Senior Manager at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing. Reporting to the Director of Network Infrastructure Engineering, this role will lead and scale the Datacenter Networking team, responsible for building, modernizing, and operating DigitalOcean’s datacenter network infrastructure.

What You’ll Do:

• Talent development and performance management; coaching, and developing a culture of inclusivity and collaboration 
• Work with other technologies to architect next generation network
• Partner with senior technical and business leadership to co-develop multi-year roadmaps for the technology areas across the organization 
• Proactively identify and solve challenges that negatively impact team velocity and successful delivery
• Work with the team to streamline and modernize tools used for network equipment lifecycle management

What You’ll Add to DigitalOcean:

• People First Leader - serve the team by continuously assessing their strength and passions helping them to grow and develop. Provide them with the opportunities and visibility to be their best and help them achieve their goals
• Visionary - experience communicating effectively with peers and leaders, create allies and productive relationships, nurture collaboration and knowledge transfer, communicate with transparency, communicate clear organizational goals
• Technologist - a proven background in some or all of: GPU networking, IEB implementation and design, DC networking, NOC, Life-cycle management of infrastructure
• At least 10 years of progressive experience in network architecture, design and operation at global scale (10+ DC locations)
• Experience working with deployment software like Salt, Ansible, puppet, chef.
• 5+ years’ experience of people, talent and performance management; passion to mentor, motivate, and coach team member

Compensation Range: 

• $184,800 - $231,000

*This is a hybrid role

JR: 2026-7702

#LI-Hybrid

We want people who are passionate about solving complex cloud infrastructure challenges for our customers.

We are looking for a Solutions Architect with expertise in cloud infrastructure to support the success and retention of DigitalOcean's high-value customers. Reporting to the Manager of Solutions Architecture, you will work directly with Customer Success, Sales, and Support functions to retain and grow DigitalOcean’s largest and fastest growing customers. You will be the technical subject matter expert on DigitalOcean’s portfolio, advising on best practices and guiding customers to the optimal solution to meet their business objectives. You will work closely with other functions within DigitalOcean such as Product, Engineering, and Operations to ensure the needs and insights from the local markets are funneled appropriately back into DigitalOcean's products and services.

This is an amazing growth opportunity for a highly motivated individual to establish and expand our presence within the region. Technical depth, excellent communication skills, and a self-starter mentality are needed.

 What You Will Be Doing: 

As a Senior Solutions Architect II, you will serve as a technical partner to the success and sales teams. You will perform architecture reviews, proof of concepts, demos, uncover customer technical needs, and demonstrate DigitalOcean's value proposition. Working with AEs, GAM and TAM counterparts, you'll help retain large customers and expand their workloads on DigitalOcean.

• Develop deep expertise in the DigitalOcean product portfolio, the evolving cloud landscape, and AI/ML platforms.
• Advocate for customers by providing feedback to product teams, overcoming adoption blockers, and driving new feature development.
• Offer personalized onboarding assistance and guide customers through their cloud journey, resolving technical blockers.
• Design and review architecture tailored to specific business use cases, ensuring optimal solutions for customers.
• Implement and oversee infrastructure management best practices to secure and optimize cloud resources.
• Identify opportunities for cost reduction and performance improvement, helping customers make data-driven cloud optimization decisions.
• Conduct technical consultation sessions, workshops, and training for customers to empower them in managing cloud infrastructure.
• Partner with Growth Account Managers and Customer Success Managers to create success plans that ensure customer retention, expansion, and satisfaction.
• Provide regular presentations articulating product benefits, functionality, and technical solutions.
• Demonstrate strong expertise in AI/ML frameworks like TensorFlow and PyTorch and usage of platforms like Hugging Face, with experience deploying and fine-tuning LLMs and GenAI models.
• Optimize GPU workloads using CUDA or TensorRT and build scalable AI applications like chatbots, inference services or recommendation systems using Kubernetes and NFS.
• Design AI solutions tailored to business needs, manage data pipelines, and integrate databases.
• Liaise with Engineering and Support teams to resolve escalations and growth obstacles in a timely fashion.
• Identify and drive process improvement opportunities and promote technical best practices across the organization.
• Contribute to internal and external documentation, such as "The Navigator’s Guide to DO."
• Build tools to enhance the experience of Premium Support customers and improve platform usability.
• Demonstrate proficiency in DevOps tools like Docker, Terraform, and CI/CD pipelines.
• Leverage expertise in Kubernetes, Managed DBaaS, and the DigitalOcean GenAI Platform.
• Work both independently and collaboratively with a global team of Solutions Architects, Customer Success Managers, and Account Managers.

What We'll Expect From You:

• Proven professional experience with cloud infrastructure, AI/ML platforms, or equivalent education.
• Expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch) and familiarity with platforms like Hugging Face.
• Experience deploying and fine-tuning LLMs (e.g., DeepSeek, Llama, Claude, GPT-4) and GenAI models.
• Deep knowledge of Linux, distributed systems, Kubernetes, NFS, Object Storage, and GPU optimization techniques (e.g., CUDA, TensorRT).
• Hands-on experience leveraging vllm and various quantization methods (e.g., INT4, INT8, and FP8) for efficient model deployment.
• Programming/development experience, particularly in building AI-powered applications (e.g., recommendation systems, chatbots).
• Experience working in a post-sales or technical consultant role with a focus on AI/ML and cloud solutions.
• Knowledge of provisioning, deployment strategies, and tools like Terraform, Kubernetes, and Docker.
• Passionate about customer experience and leveraging AI/ML to solve complex business problems.
• Track record of developing successful technical solutions, including AI/ML use cases, to address customer challenges.
• Ability to balance the demands of multiple stakeholders, define priorities, and set appropriate expectations.
• Strong understanding of AI/ML data pipelines, cloud-native databases, and integration strategies.
• Passionate about technology, open source projects, and applying cutting-edge AI/ML innovations.
• Strong communication skills, with the ability to explain technical AI/ML concepts in clear and concise terms.
• Quickly learn DigitalOcean systems and adapt to rapid changes in cloud and AI/ML trends.
• Fluency in English.
• Highly motivated with a self-starter mentality, ready to tackle AI/ML challenges head-on.

Extra Credit: 

• Cloud certifications are highly desirable (AWS/GCP/Oracle/Azure)
• NVIDIA Certifications around GPU and AI/ML
• Networking: Cisco/Juniper Certifications
• Programming/Scripting: Ruby, Python, Go, Bash
• Source Code: Git
• Automation: Terraform, Ansible, Chef, Puppet, Saltstack
• Virtualization: KVM, Xen
• Databases: MongoDB, MySQL, Redis, PostgreSQL
• Open Source: CoreOS, Docker, Kubernetes (CKA/CKE), Vagrant
• DigitalOcean: API, libraries, services
• Linux: RHCSA/RHCE

Compensation Range: 

• Base: $150,000 - $182,000 / Target OTE: $200,000 - 240,000

*This is a remote role

JR: 2026-7695

#LI-Remote

We want people who are passionate about optimizing and troubleshooting data center hardware at mega-scale so our customers don’t have to worry!

We are looking for an entry-level hardware technologist with experience testing and deploying firmware to server hardware at scale. Reporting to the Manager of Infra::Machines::Design, the Firmware Qualification Engineer will qualify and deploy firmware packages across DigitalOcean products and components and join a team of engineers who have already paved the way for the many tens of thousands of servers in our infrastructure. The ideal candidate will be eager to face new challenges as DigitalOcean continues to scale its data center footprint and explore new technologies to bring to our customers.

What You’ll Be Doing:

• Work with vendors and internal peer teams on qualifying, onboarding, and delivering new firmware to the DigitalOcean ecosystem
• Act as Tier 3 escalation on-call for triage, investigation, and resolution of system firmware issues in the DigitalOcean fleet (both customer-facing and internal)
• Participate in 24/7 on-call rotation with other members of the teamImprove existing firmware and hardware configuration automation/validation, for both hardware platforms and components (such as NIC, Storage and BMC)
• Engage with hardware vendors about new automation features and existing bugsHelp with development of tooling and associated runbooks to address gaps in operational capabilities around hardware and firmware operations
• Coordinate with Ops teams on monitoring thresholds, failure modes and alertingAssist in troubleshooting causes of failures and work to prevent them in the future 
• Raise the quality bar in the delivery of our cloud infrastructure by identifying industry best practices and working to adopt them

What We’ll Expect From You:

• Technical Degree (BS Computer Science/Engineering) or equivalent practical experience
• Strong understanding of x86 server hardware architecture and subsystems.
• Ideally, you’ve worked with non-x86 hardware too!Demonstrated professional proficiency in configuration management best-practices (we use Ansible and Chef)
• Experience automating server firmware components at large-scale using industry-standard tooling (Redfish, IPMI, etc) including a deep understanding of benchmarking, automating test frameworks, and process automation in general
• Practical knowledge of PXE boot, UEFI, Linux/OS boot, AMI/OEM BIOS distributions, OpenBMC/AMI/OEM BMC implementations, RAID and other storage resiliency technologies, and the full Network stack- from NIC firmware to TCP/IPAdept at Linux (or Unix) operating systems. You’ll be spending a lot of time working in one!
• Comfortable with version control systems (we use Git) and proficient in at least one programming language (such as Python or Go) Ability to participate in 24/7 on-call rotation with other members of the team
• Excellent communication skills, both within the team and with the broader company
• Have an insatiable passion for hardware, both new and old 

Compensation Range: 

• $83,000 - $104,000

*This is a hybrid role

JR: 2026-7606

#LI-Hybrid

We’re looking for a security manager passionate about defending the enterprise to lead a team of Security Engineers and Analysts.

You will manage a team dedicated to defending DigitalOcean’s corporate and production environments, reporting to the Director of Security. At the heart of this team's mission lies a commitment to building and maintaining robust systems that keep DigitalOcean's production and corporate infrastructure safe, secure, and defensible. We protect DigitalOcean from internal and external threats by implementing security tools and processes. We collaborate with teams to provide secure-by-design solutions that remove obstacles to productivity, embodying a "yes, and" philosophy rather than "no."

What You’ll Do:

Lead and grow the team

• You will manage, mentor, and hire for a team of 6 infrastructure security engineers and security analysts ranging from junior to staff levels.
• You will support team members’ career growth, manage performance, and ensure the team maintains a high bar for technical execution.

Scale security infrastructure

• You will lead Infrastructure Security engineers in building and maintenance of critical systems including Vault, VPNs, LDAP, and Network IDS sensors.
• You will oversee the maintenance of mission-critical Infrastructure as Code automation, leveraging tools like Ansible, Chef, and Terraform while leading the strategic evolution of IAM and endpoint security for both production and corporate infrastructure.
• Maintain the operational health of the team’s platforms and services by overseeing a sustainable on-call rotation, serving as a secondary escalation point to support your engineers during major infrastructure disruptions or outages.

Mature detection engineering

• You will lead Security Analysts in building a first line of defense, triaging corporate alerts, and building robust detections.
• You will ensure the team effectively monitors for suspicious activity and executes the crucial initial steps of alert triage to activate Incident Response.
• Collaborate closely with ICs and leaders in Digital Forensics and Incident Response (DFIR) to ensure the detection pipeline is grounded in reality, building high-fidelity alerts that map directly to potential security incidents and threat actor behaviors.

Build bridges, not walls 

• You will foster strong cross-functional relationships by working closely with ICs and leaders across both corporate and technical teams, including IT, Finance, Internal Audit, and Product Engineering.
• You will lead your team to be proactive "yes, and" partners who help stakeholders navigate security challenges with clarity and confidence.

What You’ll Add to DigitalOcean:

Experienced management

• You have 2+ years of experience leading a team of security engineers or analysts.
• You are comfortable stepping into a role with 6 direct reports and have a track record of elevating talent across all levels (junior to staff) and keeping them engaged and unblocked.

Technical context

• You possess a deep background in Infrastructure Security, Security Operations, or Security Engineering.
• You lead with technical credibility, providing meaningful feedback on complex systems across Identity (IAM, ZTNA), Infrastructure (VPNs, Endpoint, IDS, Vault), and Security Observability platforms.
• You have direct experience with security monitoring programs and a passion for maturing enterprise defense.

Servant leadership

• You measure your own success by the success of your team.
• You have a track record of defining clear priorities to reduce context switching, clearing operational paths so your engineers and analysts can focus on technical execution, and ensuring they receive visibility and credit for their work.

Empathy & communication

• You translate complex security risks into business context for leadership and teach your team to communicate with empathy and clarity.
• You effectively communicate roadmaps, milestones, target dates, and project status to both your direct leadership and the extended security leadership team.

Compensation Range: 

• $180,000 - $210,000

*This is a hybrid role

JR: 2026-7588

#LI-Hybrid

We are looking for a Senior Software Engineer who is passionate about startups fueling the next wave of AI innovation. 

We are seeking a highly experienced and motivated Senior Software Engineer to join our Security Products team. In this pivotal role, you will be instrumental in designing, building, and maintaining robust security products and infrastructure that protect Digital Ocean's platform and our customers' data. This is an exciting opportunity for an individual who thrives in a fast-paced environment and is passionate about solving complex security challenges at scale.

What you’ll do

• Design and develop real-time security detection engines using Apache Flink and Kafka for threat detection at cloud scale
• Build high-performance security APIs and microservices using Go and JavaScript/Node.js
• Implement streaming analytics for security event correlation, anomaly detection, and threat intelligence
• Architect and implement security solutions running on Kubernetes at hyperscale
• Develop security data pipelines processing petabytes of logs, network traffic, and telemetry data
• Lead technical design for complex security platform features from conception to production
• Collaborate with security researchers, threat analysts, and cloud platform teams
• Mentor junior engineers on security engineering best practices and cloud-native development

What we’ll expect from you

• 5+ years of experience in software engineering, with significant exposure to building products at security companies or within security functions.
• Expert-level Go and strong JavaScript/Node.js skills
• Proven track record of designing and implementing high-throughput, scalable systems with large data requirements
• Deep understanding of distributed systems: consensus, replication, partitioning, and consistency - Production Apache Flink and advanced Kafka experience processing high-volume event streams.
• Deep Kubernetes expertise running security-critical workloads at scale
• Cloud platform experience (AWS, GCP, Azure) with understanding of cloud security models, infrastructure as Code expertise (Terraform, Helm, Chef)
• Experience building systems handling millions of events per second
• Familiarity with various security tools and technologies (e.g., SIEM, WAF, IDS/IPS, vulnerability scanners).
• Excellent problem-solving, analytical, and communication skills.
• Ability to thrive in a fast-paced, dynamic, and rapidly evolving environment.

Nice to Have

• Experience with distributed systems and microservices architectures.
• Knowledge of cryptography and secure communication protocols.
• Contributions to open-source security projects.

Compensation Range: 

• $140,800 - $176,000

*This is a hybrid role

JR: 2026-7538

#LI-Hybrid

We are seeking a highly experienced and motivated Senior Software Engineer to join our Security Products team. In this pivotal role, you will be instrumental in designing, building, and maintaining robust security products and infrastructure that protect Digital Ocean's platform and our customers' data. This is an exciting opportunity for an individual who thrives in a fast-paced environment and is passionate about solving complex security challenges at scale.

What you’ll do

• Design and develop real-time security detection engines using Apache Flink and Kafka for threat detection at cloud scale
• Build high-performance security APIs and microservices using Go and JavaScript/Node.js
• Implement streaming analytics for security event correlation, anomaly detection, and threat intelligence
• Architect and implement security solutions running on Kubernetes at hyperscale
• Develop security data pipelines processing petabytes of logs, network traffic, and telemetry data
• Lead technical design for complex security platform features from conception to production
• Collaborate with security researchers, threat analysts, and cloud platform teams
• Mentor junior engineers on security engineering best practices and cloud-native development

What we’ll expect from you

• 5+ years of experience in software engineering, with significant exposure to building products at security companies or within security functions.
• Expert-level Go and strong JavaScript/Node.js skills
• Proven track record of designing and implementing high-throughput, scalable systems with large data requirements
• Deep understanding of distributed systems: consensus, replication, partitioning, and consistency - Production Apache Flink and advanced Kafka experience processing high-volume event streams.
• Deep Kubernetes expertise running security-critical workloads at scale
• Cloud platform experience (AWS, GCP, Azure) with understanding of cloud security models, infrastructure as Code expertise (Terraform, Helm, Chef)
• Experience building systems handling millions of events per second
• Familiarity with various security tools and technologies (e.g., SIEM, WAF, IDS/IPS, vulnerability scanners).
• Excellent problem-solving, analytical, and communication skills.
• Ability to thrive in a fast-paced, dynamic, and rapidly evolving environment.

Nice to Have

• Experience with distributed systems and microservices architectures.
• Knowledge of cryptography and secure communication protocols.
• Contributions to open-source security projects.

Compensation Range: 

• $133,680 - $167,100

*This is a hybrid role

JR: 2025-7355

#LI-Hybrid

About the Role:

As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.

We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us! 

As a Sr. Site Reliability Engineer (SRE) in PitchBook’s engineering division, you will be creating and evolving systems to automatically run our suite of products and services reliably and consistently. As part of a team of site reliability engineers and platform engineers and in conjunction with group leadership, you will help define service level objectives (SLOs) that determine success and build systems to achieve those objectives.

You will utilize your strong background in deploying, managing, and maintaining production systems, working with developers to operate and monitor large-scale services with complex distributed systems and data integrations. You will incorporate observability tools (monitoring, telemetry, tracing, alerting), perform incident management, conduct root cause analyses, eliminate single points of failure, build reliability and redundancy into our infrastructure, establish and test our recoverability, mitigate failures, and do all of these things through automation and tools. 

As a Sr. Site Reliability Engineer, you will take independent responsibility for building and managing large subsets of our systems. You will help build our best practices for infrastructure-as-code and your code will exemplify our quality controls. You will mentor and train other Site Reliability Engineers, platform engineers, and software engineers in reliability topics. 

Your ability to collaborate with colleagues, exhibit poise and adaptability in stressful situations, communicate effectively, and build resilient systems that can be consistently relied upon will be critical to your success. You will solicit feedback, learn constantly, engage others with empathy, and help create a culture of belonging, teamwork, and purpose.

If you love building customer-centric solutions, strive for excellence every day, are adaptable and focused, and believe work should be fun, come join us! 

Primary Job Responsibilities:

• Build and maintain internal platform services, Kubernetes operators, and observability tooling that support enterprise reliability at scale
• Design and deliver developer experience tooling and AI-leveraged workflows through Claude Code plugins and MCP servers
• Requires strong knowledge of Kubernetes, Java (Spring Boot), observability, event-driven architecture, and Python; experience with Clean Architecture, cloud-native deployment patterns, and building internal tools that improve developer productivity across engineering organizations.
• Establish service level objectives (SLOs), error budgets, and service level indicators (SLIs) as success criteria that our systems and processes consistently meet or exceed these targets
• Build recoverability into our services and systems, including disaster recovery (DR), backups/recovery, and incorporation of multi-AZ multi-regionality into cloud constructs
• Establish clustering and load balancing techniques for high availability and scalability in containerized cloud-native environments
• Build observability systems and services (monitoring, telemetry, tracing) for reuse in our platform architecture, creating alerting for fault identification and building dashboards for metrics
• Operate and continuously improve our services’ reliability, scalability, performance, security, and uptime
• Learn constantly, including in available cloud-managed services (PaaS/SaaS/IaaS), libraries, frameworks, and platforms (commercial and open-source)
• Participate in the company’s application of Agile, Lean, and principles of fast flow to engineering department efficiency and productivity and own certain tasks in process automation to achieve fluidity
• Support the vision and values of the company through role modeling and encouraging desired behaviors 
• Participate in various company initiatives and projects as requested 

Skills and Qualifications:

• Bachelor's in Computer Science, Software Engineering, or related (Master's preferred)
  
• 5+ years of experience building and maintaining Linux/UNIX-based systems, primarily in cloud environments (preferably GCP & AWS)
  
• 5+ years of experience in a Reliability Engineering, DevOps, or infrastructure role, where infrastructure-as-code tools (e.g. Terraform, Puppet, Ansible, Chef) were used as a primary job function
  
• 5+ years of experience coding in an object-oriented language, such as Java, Python, Go, or Kotlin
  
• 2+ years of experience with containers and orchestration platforms, including Kubernetes and Docker
  
• Deep knowledge of infrastructure systems, networking, and security, including in a cloud environment
  
• Experience owning operational reliability, scalability, recoverability (backups, disaster recovery, failover), and capacity planning
  
• Experience performing operational activities including batch processing, system backups, maintenance, monitoring, and providing first-tier on-call support and being part of a 24/7 response team
  
• Experience with distributed, scalable microservices and event-driven architectures
  
• Experience with data storage, replication, caching, and search technologies, such as PostgreSQL, MySQL, MS SQL Server, Amazon RDS, GCP CloudSQL, Redis, Elasticsearch, and Lucene/Solr
  
• Hold at least one professional certification in AWS or GCP (DevOps or SysOps Engineer preferred)
  
• Proficiency with the Microsoft Office suite including in-depth knowledge of Outlook, Word, and Excel with the ability to pick up new systems and software easily
• Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Benefits + Compensation at PitchBook:

Physical Health

• Comprehensive health benefits
• Additional medical wellness incentives
• STD, LTD, AD&D, and life insurance

Emotional Health

• Paid sabbatical program after four years
• Paid family and paternity leave
• Annual educational stipend
• Ability to apply for tuition reimbursement
• CFA exam stipend
• Robust training programs on industry and soft skills
• Employee assistance program
• Generous allotment of vacation days, sick days, and volunteer days

Social Health 

• Matching gifts program
• Employee resource groups
• Subsidized emergency childcare
• Dependent Care FSA
• Company-wide events
• Employee referral bonus program
• Quarterly team building events

Financial Health 

• 401k match
• Shared ownership employee stock program
• Monthly transportation stipend

*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.

Compensation

• Annual base salary: $175,000-$200,000
• Target annual bonus percentage: 10%

Working Conditions:

At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

#LI-TK1

#LI-Onsite

About the Role:

As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.

We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us! 

As a Sr. Site Reliability Engineer (SRE) in PitchBook’s engineering division, you will be creating and evolving systems to automatically run our suite of products and services reliably and consistently. As part of a team of site reliability engineers and platform engineers and in conjunction with group leadership, you will help define service level objectives (SLOs) that determine success and build systems to achieve those objectives.

You will utilize your strong background in deploying, managing, and maintaining production systems, working with developers to operate and monitor large-scale services with complex distributed systems and data integrations. You will incorporate observability tools (monitoring, telemetry, tracing, alerting), perform incident management, conduct root cause analyses, eliminate single points of failure, build reliability and redundancy into our infrastructure, establish and test our recoverability, mitigate failures, and do all of these things through automation and tools. 

As a Sr. Site Reliability Engineer, you will take independent responsibility for building and managing large subsets of our systems. You will help build our best practices for infrastructure-as-code and your code will exemplify our quality controls. You will mentor and train other Site Reliability Engineers, platform engineers, and software engineers in reliability topics. 

Your ability to collaborate with colleagues, exhibit poise and adaptability in stressful situations, communicate effectively, and build resilient systems that can be consistently relied upon will be critical to your success. You will solicit feedback, learn constantly, engage others with empathy, and help create a culture of belonging, teamwork, and purpose.

If you love building customer-centric solutions, strive for excellence every day, are adaptable and focused, and believe work should be fun, come join us! 

Primary Job Responsibilities:

• Bachelor's in Computer Science, Software Engineering, or related (Master's preferred)
  
• 5+ years of experience building and maintaining Linux/UNIX-based systems, primarily in cloud environments (preferably GCP & AWS)
  
• 5+ years of experience in a Reliability Engineering, DevOps, or infrastructure role, where infrastructure-as-code tools (e.g. Terraform, Puppet, Ansible, Chef) were used as a primary job function
  
• 2+ years of experience with containers and orchestration platforms, including Kubernetes and Docker
  
• Deep knowledge of infrastructure systems, networking, and security, including in a cloud environment
  
• Experience owning operational reliability, scalability, recoverability (backups, disaster recovery, failover), and capacity planning
  
• Experience performing operational activities including batch processing, system backups, maintenance, monitoring, and providing first-tier on-call support and being part of a
• 24/7 response team
  
• Experience with distributed, scalable microservices and event-driven architectures
  
• Experience with data storage, replication, caching, and search technologies, such as PostgreSQL, MySQL, MS SQL Server, Amazon RDS, GCP CloudSQL, Redis, Elasticsearch, and Lucene/Solr
  
• Hold at least one professional certification in AWS or GCP (DevOps or SysOps Engineer preferred)
  
• Proficiency with the Microsoft Office suite including in-depth knowledge of Outlook, Word, and Excel with the ability to pick up new systems and software easily
• Support the vision and values of the company through role modeling and encouraging desired behaviors 
• Participate in various company initiatives and projects as requested 

Skills and Qualifications:

• Bachelor's in Computer Science, Software Engineering, or related (Master's preferred)
• 5+ years of experience building and maintaining Linux/UNIX-based systems, primarily in cloud environments (preferably GCP & AWS)
• 5+ years of experience in a Reliability Engineering, DevOps, or infrastructure role, where infrastructure-as-code tools (e.g. Terraform, Puppet, Ansible, Chef) were used as a primary job function
• 2+ years of experience with containers and orchestration platforms, including Kubernetes and Docker
• Deep knowledge of infrastructure systems, networking, and security, including in a cloud environment
• Experience owning operational reliability, scalability, recoverability (backups, disaster recovery, failover), and capacity planning
• Experience performing operational activities including batch processing, system backups, maintenance, monitoring, and providing first-tier on-call support and being part of a 24/7 response team
• Experience with distributed, scalable microservices and event-driven architectures
• Experience with data storage, replication, caching, and search technologies, such as PostgreSQL, MySQL, MS SQL Server, Amazon RDS, GCP CloudSQL, Redis, Elasticsearch, and Lucene/Solr
• Hold at least one professional certification in AWS or GCP (DevOps or SysOps Engineer preferred)
• Proficiency with the Microsoft Office suite including in-depth knowledge of Outlook, Word, and Excel with the ability to pick up new systems and software easily
• Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Benefits + Compensation at PitchBook:

Physical Health

• Comprehensive health benefits
• Additional medical wellness incentives
• STD, LTD, AD&D, and life insurance

Emotional Health

• Paid sabbatical program after four years
• Paid family and paternity leave
• Annual educational stipend
• Ability to apply for tuition reimbursement
• CFA exam stipend
• Robust training programs on industry and soft skills
• Employee assistance program
• Generous allotment of vacation days, sick days, and volunteer days

Social Health 

• Matching gifts program
• Employee resource groups
• Subsidized emergency childcare
• Dependent Care FSA
• Company-wide events
• Employee referral bonus program
• Quarterly team building events

Financial Health 

• 401k match
• Shared ownership employee stock program
• Monthly transportation stipend

*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.

Compensation

• Annual base salary: $175,000-$200,000
• Target annual bonus percentage: 10%

Working Conditions:

At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

#LI-MS1

#LI-Onsite

Team Overview:

Impinj is seeking a Senior Staff DevOps Engineer specializing in IoT and embedded applications to join our Solutions Software organization. In this role, you will serve as a technical leader and recognized expert on the Developer Infrastructure team, shaping the strategic direction for our cloud-based developer infrastructure across the organization. You will define the standards, architecture, and practices that enable multiple engineering teams – spanning software, innovation, and silicon – to deliver high-quality products at scale.

What you will do:

• Architect and drive long-term strategy for scalable and reliable infrastructure using cloud services (e.g., AWS, Azure, GCP)
• Define and evolve CI/CD standards and pipelines using GitHub Enterprise, establishing standard methodologies for build, test, and deployment processes
• Manage and optimize AWS cloud infrastructure, using Terraform for Infrastructure as Code (IaC), making architectural decisions with long-term organizational impact
• Administer and maintain JFrog Artifactory for artifact storage and dependency management, including governance policies that span multiple teams
• Implement configuration management and automation using Ansible
• Lead the development of monitoring and alerting solutions using Datadog
• Develop automation frameworks and tooling in Python for operational efficiency across the team

• Lead cross-functional collaboration with development teams to streamline deployments and improve release processes

• Monitor and optimize system performance, reliability, security, and compliance across all environments
• Provide mentorship and technical guidance to other DevOps engineers and adjacent engineering teams, acting as a multiplier across the organization
• Stay up-to-date with the latest industry trends and technologies to help shape and drive continuous improvement in platform strategy

What you will bring:

• Bachelor's degree in Computer Science, Engineering, or a related field
• 12+ years of experience in DevOps, software development, or systems engineering
• Strong experience making architectural decisions for cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes)
• Solid proficiency in scripting languages (e.g., Python, Bash, PowerShell)
• Experience with configuration management tools (e.g. Ansible, Chef, Puppet)

• Experience with monitoring and logging tools (e.g. Datadog, Prometheus, Grafana, ELK stack)

• Deep experience optimizing and managing GitHub and Artifactory deployments
• Advanced experience with infrastructure as code tools (e.g., Terraform, CloudFormation)
• Demonstrable knowledge of networking, security best practices, and cloud architecture
• Knowledge of HashiCorp Vault for secrets management
• Strong problem‑solving abilities and comfort navigating ambiguous challenges in dynamic, evolving environments
• Deep understanding of the software development lifecycle, structured project management, collaborative coding practices (such as code reviews and pair programming), and continuous improvement of code quality
• Proven experience influencing and building alignment across engineering leadership

Compensation & Benefits:

The benefits listed below may vary depending on the nature of your employment with Impinj and the country where you work.

The typical base pay range for this role across the US is $158,700 - $238,100. Individual base pay depends on various factors such as complexity and responsibility of role, job duties, requirements, and relevant experience and skills. Both market wage data and the mid-point of the pay range is reviewed and used as the starting point for all new hire offers. Offers are made within the base pay range applicable at the time.

At Impinj certain roles are eligible for additional rewards, including merit increases, annual bonus and stock. These awards are allocated based on individual performance. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee’s role. US based employees have access to healthcare benefits; a 401(k) plan and company match among others.

For a more comprehensive list of US employment benefits, click here. 

US Export Controls:

This position has access to technologies or data subject to U.S. export control regulations. Under these laws, the release or transfer of export-controlled items or information to individuals who are not classified as "U.S. persons" (as defined by Immigration & Nationality Act) may require prior authorization from the U.S. government. We may require additional documentation related to national identity to determine whether an export compliance license is required for any export-controlled items. This information is requested solely for the purpose of complying with U.S. export control laws and will not be used for other purposes. Learn more about export compliance here.

The Strategic Account Executive role is an outside sales position responsible for developing, managing, and closing business for Strategic Enterprise customers in the North America region and is an integral part of the field sales organization. This person will partner with our demand generation, solutions engineering, and product teams to guide prospective customers through a solutions sales journey of modernizing their cloud platform architecture.  This position will require you to develop a deep understanding of the specific challenges customers are facing to help them positively achieve their business outcomes with Upbound’s solutions. 

This role will work cross-functionally with product, marketing, sales development and customer success to provide a tight-knit customer relationship, account leadership and direction in both the pre-sales and post-sales processes.

In this role, you will:  

• Carry a sales quota that aligns with Upbound’s revenue goals.
• Function as the primary point of contact and the face of Upbound for new prospects and customers.
• Conduct sales activities including prospecting and developing opportunities within existing customer accounts.
• Manage complex strategic enterprise sales motions with multiple prospect engagement points.
• Ensure the successful rollout and adoption of Upbound products and services in partnership with pre-and-post sales engineering and support.
• Take ownership of your business by documenting the buying criteria, process, and owners to ensure pipeline accuracy.
• Look for and implement improvements to sales processes, tools, and materials.
• Travel to customer sites and industry conferences and events as needed.

You are a good fit if you have:

• Proven track record of consistently meeting or exceeding assigned annual/quarterly goals and targets and consistently ranked top 1-2 on your team.
• Sold to large enterprise G2K companies and adept at navigating global, multi-national organizations.
• Sold AI, Cloud, or Infrastructure platform oriented products.
• Experience in solution and value selling in the enterprise cloud, cloud-native, and AI product spaces
• Correctly estimate qualifying opportunities based on MEDDICC.
• Drive to build a business, hunger to find and close deals, and pride in the growth of the business.
• Relentless focus on customer success and meeting the needs of present and future customers.
• Experience building positive professional relationships with senior IT and business executives.
• Clear and articulate written, verbal, online, and in-person communication skills.
• Professionalism, polish, attention to detail, and strong follow-up.
• A collaborative mindset and willingness to help solve problems outside of your immediate lane.
• Fun in your job and enjoy what you do.

It’s a plus if you: 

• Strong understanding of cloud-native infrastructure, AI solutions, and/or Infrastructure as Code tooling (Terraform, Ansible, Chef).
• Significant experience selling disruptive technology into focused markets.

 #LI-REMOTE