What you'll do:

In this pivotal role on our Trading Services team, you will architect, evolve, and optimize the distributed systems powering NinjaTrader’s real-time trading platform. As a Principal Software Engineer, you will lead the long-term technical direction of mission-critical trading infrastructure operating in high-volume, low-latency, globally distributed environments. You will play a key role in modernizing our trading architecture, driving scalability and resiliency initiatives, and shaping the future of our platform as we continue to grow in the retail futures trading space.

This role requires deep technical expertise across distributed systems, trading infrastructure, and real-time system design. You will serve as a technical leader on the team, influencing architecture, engineering standards, and platform strategy while mentoring engineers and partnering closely with product, operations, and executive stakeholders.

In this role you will:

• Design, develop, and optimize our Scala-based trading services for high-volume, low-latency, globally distributed 24x7 environments
• Optimize system performance, with focus on JVM tuning and distributed systems performance for Scala/Akka-based services
• Define and lead the long-term architectural strategy for NinjaTrader’s trading systems and distributed infrastructure
• Drive modernization initiatives focused on scalability, resiliency, fault tolerance, and operational excellence
• Lead service decomposition and platform decoupling efforts to enable polyglot development, isolated deployments, and improved system agility
• Serve as a technical leader and trusted advisor across engineering teams, driving best practices and engineering excellence
• Mentor and guide engineers through architecture reviews, technical design discussions, and operational leadership
• Collaborate cross-functionally with product, engineering, operations, and security teams to translate business requirements into robust and secure technical solutions
• Improve observability, monitoring, distributed tracing, and operational transparency across critical trading services
• Ensure compliance with security policies, regulatory standards, and industry best practices
• Lead technical decision-making during high-severity production incidents and real-time operational events
• Evaluate and introduce emerging technologies, frameworks, and architectural patterns to improve platform capabilities and engineering efficiency

What you'll need:

• Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience)
• Experience in Java/Kotlin/Scala/Rust/C++ or functional programming languages within exchange/trading environments
• Extensive experience designing and operating high-performance, high-concurrency distributed trading systems
• Deep expertise in low-latency system architecture, distributed systems design, and real-time event processing
• Proven experience leading technical strategy and architectural direction for mission-critical platforms
• Strong expertise in JVM internals, performance tuning, and optimization for high-performance environments
• Experience supporting highly available 24/7 production systems in trading or financial services environments
• Deep understanding of networking and protocols including HTTP/HTTPS, WebSockets, DNS, TCP/IP, and distributed communication patterns
• Proven ability to diagnose and resolve complex distributed systems, concurrency, and production performance issues
• Experience designing scalable, fault-tolerant microservices and event-driven architectures
• Excellent communication and leadership skills, with the ability to clearly articulate technical concepts to engineers, leadership, and cross-functional stakeholders
• Deep understanding of trading infrastructure, order lifecycle management, market connectivity, and real-time system reliability

Bonus points for:

• Background in capital markets, brokerage, or futures and derivatives technology
• Experience with real-time trading systems such as OMS, EMS, exchange connectivity, or market data infrastructure
• Experience leveraging AI/ML tools or technologies to enhance software development, system performance, or automation
• Experience in low-latency, lock-free development and design
• Strong experience with multithreading and concurrency in high-performance environments
• Deep understanding of order handling and matching engines
• Extensive experience with FIX or other market data/order-entry protocols
• Practical hands-on experience with cloud-native technologies including Kubernetes and Docker
• Experience designing highly available, resilient distributed systems in cloud-native environments

Compensation:

The salary range for this role will be $210,000.00 - $230,000.00 USD. In addition, this position will also receive an annual target bonus of 15%. Bonus pay at NinjaTrader is based on individual performance (50%) as well as company/team performance (50%).

Salary and bonus earnings are only two components of the total compensation package offered by NinjaTrader. NinjaTrader offers a 401K plan through ADP under which the company will match up to 3.5% of employee contributions. Annual paid time off allowance accrues at a rate of 23 days per year plus seven paid holidays.

All offered compensation will be based on assessed experience and is subject to change at the offer stage.

Location:

This role is based in Chicago, IL. *There may be remote flexibility for exceptional candidates in the following states: California, Colorado, Florida, Georgia, Illinois, Indiana, Minnesota, Missouri, Montana, New Jersey, New York, North Carolina, Ohio, Oregon, Pennsylvania, South Carolina, Texas, Utah, Vermont, Virginia, Washington, Washington DC, Wisconsin.

Hybrid:

For Chicago-based employees, we follow a hybrid work schedule: In-office Tuesday through Thursday, with remote work on Mondays and Fridays. In addition to these weekly remote days, we offer:

• 20 additional flex remote days annually
• 5 Company Wide Office-Optional weeks tied to major holidays

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

The UP - Analytics - Middle Office team is looking for an outstanding Senior Software Engineer with diverse technical and interpersonal skills to join us in the next step of our development as we significantly expand our technical capabilities, enabling us to have an even greater impact across the firm. This team build and maintains services which: 

• calculate analytic measures across many asset classes
• predict theoretical market outcomes based on user-defined what-if scenarios
• return analytics for any time horizon

We collaborate closely with risk managers and trading desks to measure option and rate sensitivities and create applications to monitor, manage, and report analytic measures. We're looking for talented software engineers with proven experience in the trading and finance industry. 

Responsibilities: 

• Partner closely with stakeholders and quantitative teams to design and implement complex financial modeling solutions
• Leverage your expertise in finance and quantitative analysis to architect robust, scalable analytics systems
• Write readable and well-tested code in multiple languages, paradigms, and platforms
• Collaborating with various business, development, IT, and trading support teams
• Provide on-call support as part of our team-wide rotation
• Keep open communication with our users for support, testing, and ensuring understanding of their needs

Qualifications: 

• Experience using applied mathematics (linear algebra, optimization, numerical methods)
• Strong understanding of statistics and probabilities
• Quantitative modeling of financial products and derivatives
• Fluent in functional, object-oriented, or imperative programming languages
• Competent in distributed version control, CI/CD, Docker, and Kubernetes

Familiarity with: 

• One of the following programming languages: Elixir, Python, Java, C#
• One systems level programming language: C, C++, Rust
• Pricing, risk management, and portfolio analytics
• Exchange-traded financial assets, statistics, or financial engineering
• Data structures and design/analysis of algorithms

Personal traits: 

• Possesses the ability to learn, adapt and grow
• Demonstrates personal humility, respect for others, and trust in their teammates
• Capable of independently driving projects to completion but prefers collaborating with teammates
• Excellent problem-solving and debugging skills, but has better listening and communication skills

The annual base salary range for this position is $200k to $250k depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

[#LI-SK1] 

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

DRW is seeking an exceptional Software Engineer to join a newly created team responsible for designing and developing tools and infrastructure used by Traders and Quantitative Researchers. In this role, you will be collaborating with people across the firm to provide cutting-edge technology solutions that expand our existing trading platform, all while promoting software engineering best practices. You will be presented with an opportunity to work on high profile projects that have an impact across the organization.

Responsibilities:

• Manage the day-to-day technology requirements of our proprietary trading systems
• Accelerate trading and research analysis workflows by utilizing and expanding on DRW’s in-house infrastructure and improve productivity
• Evaluate new technologies and identify/deprecate legacy code to improve on the current technological stack
• Collaborate with other engineers, traders, and researchers to design custom frameworks or end-user solutions
• Write performance sensitive code and user-friendly APIs to facilitate access to our in-house data analysis infrastructure
• Lead design discussions and conduct code reviews to maintain high standards and quality of written code

Requirements:

• Bachelor’s or Master’s degree in Computer Science or related Engineering discipline
• 5+ years of experience building demanding, live systems in Python
• In-depth knowledge of Python and keeps up with current standards (3.11 onwards)
• Up-to-date knowledge of the Python ecosystem: third party libraries, packaging in-built Python libraries
• Knowledge of a systems language such as C, C++, Rust, etc.
• Solid understanding of data structures
• Strong verbal and written communication skills
• Must car about the user-experience/UX component
• Knowledge of CI software, such as TeamCity or Jenkins
• Familiarity with Linux
• Ability to mentor others and lead small projects

Bonus points:

• Experience in the trading industry
• Familiarity with the scientific python stack
• Understanding of the latest in python package management

The annual base salary range for this position is $150,000 to $180,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus.  In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

[#LI-SK1] 

Optiver Chicago is seeking a seasoned Data Engineer to support and advance the data capabilities of our local research team and contribute to our broader Lakehouse architecture vision. In this role, you'll work with cutting-edge tools like Databricks, Apache Spark, and Delta Lake, translating experimental research workflows into scalable, production-grade systems.

As a critical engineering presence in Chicago, you'll directly influence local data strategy while collaborating with our Global Research and Data Platform teams. Your work will drive real-time insights, enable predictive analytics, and power decision-making across the trading lifecycle.

This role combines hands-on data engineering, cross-regional collaboration, and platform innovation—all within a high-performance, data-driven environment.

What you’ll do:

• Design, build, and maintain reliable ETL/ELT pipelines using Spark, Structured Streaming, Databricks, and our in-house high-performance tools
• Optimize and productionize research workflows with a strong focus on scalability, resilience, and performance tuning
• Collaborate with power users to develop and share reusable patterns, templates, and onboarding pathways
• Define, document, and enforce data engineering best practices
• Mentor junior engineers and drive a culture of continuous learning and DataOps excellence

What You’ll Get

• Immediate impact on the data systems powering world-class research and real-time trading decisions.
• A unique opportunity to shape Lakehouse engineering in the United States and influence global data architecture.
• High autonomy to own complex workflows and template “how-to” solutions across teams.
• Close collaboration with quant researchers and traders to unlock predictive insights and trading alpha.
• Partnership with best-in-class engineers across Chicago, Amsterdam, and Sydney.

In addition, you’ll receive:

• The opportunity to work alongside best-in-class professionals from over 40 different countries
• 401(k) match up to 50%
• Comprehensive health, mental, dental, vision, disability, and life coverage
• 25 paid vacation days alongside market holidays
• Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more

Who you are:

• 5+ years of hands-on experience in data engineering, delivering robust pipelines at scale
• Advanced Python skills and deep experience with Apache Spark and the Databricks platform
• Familiarity with Delta Lake, streaming data systems (e.g., Kafka), and distributed compute environments
• Solid understanding of cloud-native data architectures (preferably AWS) and infrastructure cost optimization principles
• Proficiency in relational databases (e.g., PostgreSQL) and modern orchestration tools
• Bonus: Experience with system-level languages (e.g., C++, Rust) and exposure to MLOps or MLflow
• Proven ability to lead projects independently and deliver outcomes in fast-paced environments
• Clear communicator who collaborates well with researchers, traders, and engineers alike
• Enthusiastic mentor and strong advocate for engineering rigor and platform scalability
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline

Who we are:

At Optiver, our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilizing the market no matter the conditions. With a focus on continuous improvement, we prioritize safeguarding the health and efficiency of the markets for all participants. As one of the largest market making institutions, we are a respected partner on 100+ exchanges across the globe.

Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.

Optiver Chicago is seeking a seasoned Data Architect to support and advance the data capabilities of our local research team and contribute to our broader Lakehouse architecture vision. In this role, you'll work with cutting-edge tools like Databricks, Apache Spark, and Delta Lake, translating experimental research workflows into scalable, production-grade systems.

As a critical engineering presence in Chicago, you'll directly influence local data strategy while collaborating with our Global Research and Data Platform teams. Your work will drive real-time insights, enable predictive analytics, and power decision-making across the trading lifecycle.

This role combines hands-on data engineering, cross-regional collaboration, and platform innovation—all within a high-performance, data-driven environment.

What you’ll do:

• Design, build, and maintain reliable ETL/ELT pipelines using Spark, Structured Streaming, Databricks, and our in-house high-performance tools
• Optimize and productionize research workflows with a strong focus on scalability, resilience, and performance tuning
• Collaborate with power users to develop and share reusable patterns, templates, and onboarding pathways
• Define, document, and enforce data engineering best practices
• Mentor junior engineers and drive a culture of continuous learning and DataOps excellence

What You’ll Get

• Immediate impact on the data systems powering world-class research and real-time trading decisions.
• A unique opportunity to shape Lakehouse engineering in the United States and influence global data architecture.
• High autonomy to own complex workflows and template “how-to” solutions across teams.
• Close collaboration with quant researchers and traders to unlock predictive insights and trading alpha.
• Partnership with best-in-class engineers across Chicago, Amsterdam, and Sydney.

In addition, you’ll receive:

• The opportunity to work alongside best-in-class professionals from over 40 different countries
• 401(k) match up to 50%
• Comprehensive health, mental, dental, vision, disability, and life coverage
• 25 paid vacation days alongside market holidays
• Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more

Who you are:

• 5+ years of hands-on experience in data engineering, delivering robust pipelines at scale
• Advanced Python skills and deep experience with Apache Spark and the Databricks platform
• Familiarity with Delta Lake, streaming data systems (e.g., Kafka), and distributed compute environments
• Solid understanding of cloud-native data architectures (preferably AWS) and infrastructure cost optimization principles
• Proficiency in relational databases (e.g., PostgreSQL) and modern orchestration tools
• Bonus: Experience with system-level languages (e.g., C++, Rust) and exposure to MLOps or MLflow
• Proven ability to lead projects independently and deliver outcomes in fast-paced environments
• Clear communicator who collaborates well with researchers, traders, and engineers alike
• Enthusiastic mentor and strong advocate for engineering rigor and platform scalability
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline

Who we are:

At Optiver, our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilizing the market no matter the conditions. With a focus on continuous improvement, we prioritize safeguarding the health and efficiency of the markets for all participants. As one of the largest market making institutions, we are a respected partner on 100+ exchanges across the globe.

Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.

The Optiver Research Platform (ORP) is a vertically integrated platform team that manages both high-performance compute infrastructure and the software platform layered on top. ORP enables Optiver’s global research teams to define and execute large-scale computational problems such as simulations and model training through streamlined orchestration of complex workflows. By owning the full stack, from datacenter hardware to distributed research tooling, ORP provides the fastest possible turnaround time for experiments and continually expands Optiver’s ability to generate insights from the markets we operate in.

What you’ll do:

• Expand the Optiver Research Platform’s capabilities by building features and improving performance across service orchestration, job scheduling, cluster management, big-data processing, and other core services that business teams directly interface with.
• Build and evolve a fully managed compute & data platform layer for improved scale & reliability in Python & Rust.
• Explore cutting-edge technologies and integrate them into Optiver’s research workflows to enhance performance and allow deriving better insights.
• Collaborate globally with Optiver business teams including traders, researchers, and engineers to push their understanding of the market to new heights.

What you’ll get:

You’ll join a culture of collaboration and excellence, surrounded by curious thinkers and creative problem-solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, collectively tackling some of the toughest challenges in the financial markets.

In addition, you’ll receive:

• The opportunity to work alongside best-in-class professionals from over 40 different countries
• A highly competitive compensation package
• Global profit-sharing pool and performance-based bonus structure
• 401(k) match up to 50%
• Comprehensive health, mental, dental, vision, disability, and life coverage
• 25 paid vacation days alongside market holidays
• Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more

Who you are:

• Experience leading large-scale engineering projects
• Strong engineering instincts and a deep understanding of computer science fundamentals
• Experience in distributed systems
• Expertise in Python is required; experience with C, C++, or Rust is a plus
• Experience working with GPUs and the CUDA ecosystem is a plus
• Ability to tackle complex technical problems at the intersection of infrastructure and research enablement
• Commitment to continuous learning and improvement in a rapidly evolving environment
• Excellent communication and collaboration skills for working with global researchers and engineers
• Readiness to set technical direction, promote engineering principles, and do the right thing

Who we are:

Optiver is a global market maker driven by technology. Our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilizing the market no matter the conditions. With a focus on continuous improvement, we prioritize safeguarding the health and efficiency of the markets for all participants. As one of the largest market making institutions, we are a respected partner on 100+ exchanges across the globe.

Applicants may submit up to three application per calendar year across all open roles.

Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.

The Optiver Research Platform (ORP) is a vertically integrated platform team that manages both high-performance compute infrastructure and the software platform layered on top. ORP enables Optiver’s global research teams to define and execute large-scale computational problems such as simulations and model training through streamlined orchestration of complex workflows. By owning the full stack, from datacenter hardware to distributed research tooling, ORP provides the fastest possible turnaround time for experiments and continually expands Optiver’s ability to generate insights from the markets we operate in.

What you’ll do:

• Expand the Optiver Research Platform’s capabilities by building features and improving performance across service orchestration, job scheduling, cluster management, big-data processing, and other core services that business teams directly interface with.
• Build and evolve a fully managed compute & data platform layer for improved scale & reliability in Python & Rust.
• Explore cutting-edge technologies and integrate them into Optiver’s research workflows to enhance performance and allow deriving better insights.
• Collaborate globally with Optiver business teams including traders, researchers, and engineers to push their understanding of the market to new heights.

What you’ll get:

You’ll join a culture of collaboration and excellence, surrounded by curious thinkers and creative problem-solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, collectively tackling some of the toughest challenges in the financial markets.

In addition, you’ll receive:

• The opportunity to work alongside best-in-class professionals from over 40 different countries
• A highly competitive compensation package
• Global profit-sharing pool and performance-based bonus structure
• 401(k) match up to 50%
• Comprehensive health, mental, dental, vision, disability, and life coverage
• 25 paid vacation days alongside market holidays
• Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more

Who you are:

• Experience leading large-scale engineering projects
• Strong engineering instincts and a deep understanding of computer science fundamentals
• Experience in distributed systems
• Expertise in Python is required; experience with C, C++, or Rust is a plus
• Experience working with GPUs and the CUDA ecosystem is a plus
• Ability to tackle complex technical problems at the intersection of infrastructure and research enablement
• Commitment to continuous learning and improvement in a rapidly evolving environment
• Excellent communication and collaboration skills for working with global researchers and engineers
• Readiness to set technical direction, promote engineering principles, and do the right thing

Who we are:

Optiver is a global market maker driven by technology. Our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilizing the market no matter the conditions. With a focus on continuous improvement, we prioritize safeguarding the health and efficiency of the markets for all participants. As one of the largest market making institutions, we are a respected partner on 100+ exchanges across the globe.

Applicants may submit up to three application per calendar year across all open roles.

Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.

About Attain

Klover’s engineering team powers one of the fastest-growing fintech platforms in the U.S., supporting over one million active users each month. Our systems process and move more than $1.5 billion annually, enabling real-time access to financial tools, rewards, and services that help people improve their day-to-day lives.

As part of this team, you’ll help design, build, and scale the systems that underpin Klover’s core products and platform. You’ll work on high-impact, production-grade systems that prioritize reliability, security, and performance, and that integrate with a broad ecosystem of internal and external services. The work you do will directly shape how users interact with Klover’s products, access their money, and experience transparent, low-fee financial services.

Klover engineers collaborate closely with colleagues across backend, frontend, data science, and product teams to deliver scalable, high-quality solutions for a rapidly growing user base. You’ll have the opportunity to work with modern technologies and architectures while helping define and evolve the next generation of inclusive, data-powered financial products—building systems and interfaces that emphasize reliability, privacy, and performance at scale.

Attain Office Hybrid Schedule (where applicable): 

• Chicago, IL & New York, NY: 4 days in-office; 1 day remote

You’ll be a great fit for the role if

• You are excited to build and scale backend systems that support financial products and real-time payments
• You thrive in environments where data integrity, security, and performance are critical
• You are excited to build microservices using Rust and Go
• You have a willingness to learn and teach in a collaborative environment
• You’re eager to leverage and develop using AI tools
• You’ve been complimented on how well you participate in an open feedback environment

What your day to day will look like

• Build and evolve microservices that handle high-volume financial and transactional data
• Design and implement APIs that securely connect to third-party payment processors, banks, and fintech partners
• Write thoughtful & quality code that is readable, testable, and easily maintainable
• Develop data-driven services that power account management, transaction history, and financial insights
• Strive for excellent development practices and careful code architecture that is built around rapid releases
• Work cross-functionally with backend, mobile, and product teams to consistently release high-quality, customer-focused financial features
• Adhere to, and improve upon, our agile process through requirement documents, sprint retrospectives, and other regular cadence meetings

Preferred Qualifications

• 5+ years of experience building backend services in production environments
• Experience in the financial technology, payments, or banking systems industry
• Familiarity with compliance, security, and data privacy standards (e.g., SOC 2, PCI DSS, GDPR)
• Experience designing transactional and event-driven systems for payments, reconciliation systems, or ledger-like applications
• Familiarity with microservice or Service-oriented Architecture
• Experience using gRPC, protobuf, or GraphQL
• Expert knowledge of SQL and experience designing data models for financial data integrity
• Experience with message queues or event streams (e.g., Kafka, RabbitMQ)
• Experience with cloud environments such as AWS, GCP, or Azure

We’re excited to hear from you. 

At Attain, we are passionate about finding people to continuously help us grow our organization. We encourage you to apply, even if your experience doesn’t match every detail of the job description. If we don’t see something that immediately fits, we will keep your resume on file for future opportunities.

About Attain

The Klover Backend Engineering team powers one of the fastest-growing consumer fintech apps in the U.S., with over one million active users every month. Our systems process and move more than $1.5 billion annually - enabling real-time access to earned wages, rewards, and financial tools that help consumers improve their day-to-day lives. 

As part of this team, you’ll design and scale the backend services that drive Klover’s payments and data infrastructure. You’ll work on high-availability systems that connect with financial institutions and payment processors, ensuring secure, compliant, and lightning-fast transactions. The work you do will directly impact our users’ ability to access their money instantly, earn meaningful rewards, and experience transparent, fee-free financial services. 

Klover engineers collaborate closely across product, data, and mobile teams to deliver reliable, high-performance features that meet the demands of a large, growing user base. You’ll have the opportunity to work with modern technologies (including Rust microservices and event-driven systems) while shaping the next generation of inclusive, data-powered financial products. You’ll design APIs and microservices that connect financial institutions, payment processors, and data platforms, all while ensuring reliability and privacy at scale.

Attain Office Hybrid Schedule (where applicable): 

• Chicago, IL & New York, NY: 4 days in-office; 1 day remote

You’ll be a great fit for the role if

• You are excited to build and scale backend systems that support financial products and real-time payments
• You thrive in environments where data integrity, security, and performance are critical
• You are excited to build microservices using Rust and Go
• You have a willingness to learn and teach in a collaborative environment
• You’re eager to leverage and develop using AI tools
• You’ve been complimented on how well you participate in an open feedback environment

What your day to day will look like

• Build and evolve microservices that handle high-volume financial and transactional data
• Design and implement APIs that securely connect to third-party payment processors, banks, and fintech partners
• Write thoughtful & quality code that is readable, testable, and easily maintainable
• Develop data-driven services that power account management, transaction history, and financial insights
• Strive for excellent development practices and careful code architecture that is built around rapid releases
• Work cross-functionally with backend, mobile, and product teams to consistently release high-quality, customer-focused financial features
• Adhere to, and improve upon, our agile process through requirement documents, sprint retrospectives, and other regular cadence meetings

Preferred Qualifications

• 5+ years of experience building backend services in production environments
• Experience in the financial technology, payments, or banking systems industry
• Familiarity with compliance, security, and data privacy standards (e.g., SOC 2, PCI DSS, GDPR)
• Experience designing transactional and event-driven systems for payments, reconciliation systems, or ledger-like applications
• Familiarity with microservice or Service-oriented Architecture
• Experience using gRPC, protobuf, or GraphQL
• Expert knowledge of SQL and experience designing data models for financial data integrity
• Experience with message queues or event streams (e.g., Kafka, RabbitMQ)
• Experience with cloud environments such as AWS, GCP, or Azure

We’re excited to hear from you. 

At Attain, we are passionate about finding people to continuously help us grow our organization. We encourage you to apply, even if your experience doesn’t match every detail of the job description. If we don’t see something that immediately fits, we will keep your resume on file for future opportunities.

Moonlite delivers high-performance AI infrastructure for organizations running intensive computational research, large-scale model training, and demanding data processing workloads.We provide infrastructure deployed in our facilities or co-located in yours, delivering flexible on-demand or reserved compute that feels like an extension of your existing data center. Our team of AI infrastructure specialists combines bare-metal performance with cloud-native operational simplicity, enabling research teams and enterprises to deploy demanding AI workloads with enterprise-grade reliability and compliance.

Your Role:

You will be foundational to building the comprehensive infrastructure platform that bridges our physical infrastructure –  bare-metal servers, GPU clusters, high-performance storage, and networking fabric – with the systems our customers depend on for large-scale computation, inference, simulations, and training. Working closely with product, your platform team members, and infrastructure specialists, you’ll design and implement the orchestration layer, APIs, and automation framework that make thousands of servers, petabytes of storage, and high-speed networks feel like a unified, programmable platform.    

Job Responsibilities

• Infrastructure Abstraction Layer: Design and build systems that bridge physical infrastructure (bare-metal servers, storage clusters, network fabric) with customer-facing services, enabling programmatic management of compute, networking, and storage at scale.
• Research Cluster Provisioning: Design and implement systems for provisioning and managing research computing environments including Kubernetes and SLURM clusters, enabling automated deployment, resource scheduling, and workload orchestration for distributed AI training and HPC workloads.
• Platform Orchestration: Implement comprehensive orchestration systems that coordinate across compute, storage and networking to deliver unified experience for complex research workloads.
• Network Automation & Placement: Design and build network provisioning automation including intelligent VM placement decisions for optimal network topology, automated VLAN and subnet configuration, and software-designed networking orchestration for high-performance interconnects.
• Enterprise APIs & SDKs: Develop robust APIs and SDKs that enable researchers and engineering teams to programmatically provision and manage infrastructure resources across all platform domains.
• Observability & Telemetry: Implement comprehensive observability, telemetry, and logging systems that provide visibility into infrastructure health, performance, and utilization across the infrastructure footprint.
• Performance Engineering: Build and optimize platform services that deliver consistent high-throughput low-latency networking for demand research applications and data-intensive workloads.
• Cross-Team Collaboration: Work closely with engineering, infrastructure, and product to define requirements, drive infrastructure-product-rollouts, and improve resource lifecycle management.
• Compliance & Security: Implement platform-wide compliance and security features supporting SOC 2, ISO 27001, and enterprise regulatory requirements including comprehensive audit logging, access controls, and data residency management.

Requirements

• Experience: 5+ years in software engineering with a proven track record of infrastructure platforms, distributed systems, or cloud platforms for production environments. 
• Kubernetes & Container Orchestration: Strong familiarity with Kubernetes architecture, container orchestration concepts, and experience deploying workloads in Kubernetes environments. Understanding of pods, deployments, services, and basic Kubernetes operations.
• Infrastructure Systems: Strong understanding of infrastructure fundamentals including compute orchestration, storage systems, networking technologies, and how they integrate together to deliver complete platform experiences.
• Programming Skills: Experience with systems programming languages (Go, C/C++, Rust, Python) for performance-critical components is a strong plus.
• Linux Production Experience: Strong experience with linux in production environments, including systems administration, performance tuning, and troubleshooting.
• Bare-Metal & Virtualization: Deep knowledge of bare-metal infrastructure, provisioning systems, out-of-band management, and virtualization technologies (KVM, Kubernetes, etc).
• API & Platform Design: Proven experience designing and building APIs, SDKs, and automation frameworks that enable programmatic infrastructure management.
• Cloud Platform Knowledge: Strong familiarity with cloud environments (AWS, GCP, Azure) and understanding of how to translate cloud-native patterns to bare-metal infrastructure.
• Infrastructure Automation: Experience with Infrastructure-as-code tools (Terraform, Ansible) and building automated deployment pipelines.
• Problem Solving & Autonomy: Self-starter who can navigate ambiguity, balance pragmatic shipping with good long-term architecture, and independently drive complex technical initiatives.
• Communication Skills: Strong written and verbal communication skills, including ability to write clear technical communication and collaborate across teams.
• Commitment to Growth: Growth mindset with continuous focus on learning and professional development.

Preferred Qualifications

• Background provisioning or managing research computing environments (Kubernetes, SLURM, or HPC clusters)
• Experience building internal platforms, infrastructure-as-a-service, or developer tooling
• Background with GPU computing platforms and AI/ML infrastructure requirements
• Knowledge of high-performance networking technologies (InfiniBand, RDMA, SR-IOV)
• Experience with observability and monitoring platforms (Prometheus, Grafana, ELK stack)
• Familiarity with both cloud-native and bare-metal infrastructure deployment models
• Understanding of enterprise compliance requirements and security best practices
• Extra points for experience with financial services technology infrastructure and understanding of trading system requirements

Key Technologies

• Go, Python, Kubernetes, Docker, Terraform, Ansible, Linux, Networking (BGP, VXLAN), Storage Systems, FastAPI, PostgreSQL, Redis, NVIDIA GPU Technologies, InfiniBand

Why Moonlite

• Build Next-Generation Infrastructure: Your work will create the platform foundation that enables financial institutions to harness AI capabilities previously impossible with traditional infrastructure.
• Hands-On Ownership: As an early engineer, you’ll have end-to-end ownership of projects and the autonomy to influence our product and technology direction.
• Shape Industry Standards: Contribute to defining how enterprise AI infrastructure should work for the most demanding regulated environments.
• Collaborate with Experts: Work alongside seasoned engineers and industry professionals passionate about high-performance computing, innovation, and problem-solving.
• Start-Up Agility with Industry Impact: Enjoy the dynamic, fast-paced environment of a startup while making an immediate impact in an evolving and critical technology space.

We offer a competitive total compensation package combining a competitive base salary, startup equity, and industry-leading benefits. The total compensation range for this role is $165,000 – $225,000, which includes both base salary and equity. Actual compensation will be determined based on experience, skills, and market alignment. We provide generous benefits, including a 6% 401(k) match, fully covered health insurance premiums, and other comprehensive offerings to support your well-being and success as we grow together.

#li-remote

Moonlite delivers high-performance AI infrastructure for organizations running intensive computational research, large-scale model training, and demanding data processing workloads.We provide infrastructure deployed in our facilities or co-located in yours, delivering flexible on-demand or reserved compute that feels like an extension of your existing data center. Our team of AI infrastructure specialists combines bare-metal performance with cloud-native operational simplicity, enabling research teams and enterprises to deploy demanding AI workloads with enterprise-grade reliability and compliance.

Your Role:

You will be instrumental in building out our GPU-accelerated compute platform that powers distributed AI training and inference, large-scale simulations, and computational research workloads. Working closely with product, your platform team members, and infrastructure specialists, you’ll design and implement the compute orchestration layer that manages GPU clusters, bare-metal provisioning, and resource scheduling-enabling researchers and engineers to programmatically access high-performance compute resources with cloud-like simplicity.

Job Responsibilities

• Compute Orchestration Systems: Design and build scalable compute orchestration platforms that manage GPU clusters, bare-metal server provisioning, and resource allocation across co-located infrastructure environments.  
• Resource Management & Scheduling: Implement intelligent workload scheduling, resource allocation, and optimization algorithms that maximize GPU utilization while maintaining performance guarantees for research and training workloads.
• Research Cluster Provisioning: Design and implement systems for provisioning and managing research computing environments including Kubernetes and SLURM clusters, enabling automated deployment, resource scheduling, and workload orchestration for distributed AI training and HPC workloads.
• GPU Platform Engineering: Develop platform capabilities for managing latest-generation NVIDIA GPU configurations (H100, H200, B200, B300), including GPU resource management, multi-tenant isolation, and integration with compute orchestration systems.
• Bare-Metal Lifecycle Management: Build automation and tooling for complete bare-metal server lifecycle management – from initial provisioning and configuration through ongoing operations, updates, and resource reallocation.
• Performance-Critical Systems: Optimize compute platform components for high-throughput and low-latency performance, ensuring research workloads achieve near-bare-metal efficiency in virtualized or containersized environments.
• Platform APIs & Integration: Develop robust APIs and SDKs that enable researchers to programmatically provision and manage compute resources, integrating seamlessly with existing workflows and research infrastructure.
• Observability & Monitoring: Implement comprehensive monitoring and telemetry systems for compute resources, providing visibility into GPU virtualization, workload performance and infrastructure health.
• Multi-Tenancy and Isolation: Build enterprise-grade multi-tenant compute isolation, security boundaries, and resource quotas that enable safe sharing of GPU infrastructure across teams and organizations. 

Requirements

• Experience: 5+ years in software engineering with proven experience building compute platforms, container orchestration systems, or distributed compute infrastructure for production environments.
• Compute Platform Engineering: Strong background in building compute orchestration, resource scheduling, or workload management systems at scale.
• Kubernetes & Container Orchestration: Strong familiarity with Kubernetes architecture, container orchestration concepts, and experience deploying workloads in Kubernetes environments. Understanding of pods, deployments, services, and basic Kubernetes operations.
• Programming Skills: Experience with Go, C/C++, Python, or Rust for performance-critical components is highly valued. 
• Linux & Systems Programming: Strong experience with Linux in production environments, including systems for programming, performance optimization, and low-level resource management.
• Virtualization & Containers: Deep knowledge of virtualization technologies (KVM, Xen), container runtimes, and orchestration platforms. 
• GPU Computing Fundamentals: Understanding of GPU architectures, CUDA programming (where/when needed), and GPU resource management – or a strong ability to learn quickly.
• Bare-Metal Infrastructure: Experience with bare-metal provisioning, out-of-band management systems, and hardware abstraction layers.
• Problem-Solving & Architecture: Demonstrated ability to solve complex performance and scalability challenges while balancing pragmatic shipping with good long-term architecture. 
• Autonomy & Communication: Comfortable navigating ambiguity, defining requirements collaboratively, and communicating technical discussions through clear documentation.
• Commitment to Growth: Growth mindset with continuous focus on learning and professional development.

Preferred Qualifications

• Background provisioning or managing research computing environments (Kubernetes, SLURM, or HPC clusters)
• Experience with GPU virtualization technologies (SR-IOV, NVIDIA vGPU) and multi-tenant GPU sharing
• Background in container orchestration platforms with custom scheduling or resource management
• Knowledge of high-performance networking for GPU communication (InfiniBand, RDMA, NVLink, NVSwitch)
• Familiarity with AI/ML training frameworks (PyTorch, TensorFlow) and their infrastructure requirements
• Understanding of distributed training patterns and multi-node GPU coordination
• Experience building infrastructure for research institutions,labs, or technical computing environments
• Background in financial services or other regulated industry infrastructure is a plus

Key Technologies

• Go, C/C++, Python, KVM, Docker, Kubernetes,, NVIDIA GPUDirect, SR-IOV, NVIDIA vGPU, CUDA, InfiniBand, RDMA, Terraform, FastAPI, gRPC, Linux systems programming

Why Moonlite

• Build Next-Generation Infrastructure: Your work will create the platform foundation that enables financial institutions to harness AI capabilities previously impossible with traditional infrastructure.
• Hands-On Ownership: As an early engineer, you’ll have end-to-end ownership of projects and the autonomy to influence our product and technology direction.
• Shape Industry Standards: Contribute to defining how enterprise AI infrastructure should work for the most demanding regulated environments.
• Collaborate with Experts: Work alongside seasoned engineers and industry professionals passionate about high-performance computing, innovation, and problem-solving.
• Start-Up Agility with Industry Impact: Enjoy the dynamic, fast-paced environment of a startup while making an immediate impact in an evolving and critical technology space.

We offer a competitive total compensation package combining a competitive base salary, startup equity, and industry-leading benefits. The total compensation range for this role is $165,000 – $225,000, which includes both base salary and equity. Actual compensation will be determined based on experience, skills, and market alignment. We provide generous benefits, including a 6% 401(k) match, fully covered health insurance premiums, and other comprehensive offerings to support your well-being and success as we grow together.

#li-remote

Who we are:

At Focused, we move quickly to deliver quality software that achieves client outcomes and meets their customer’s needs. We strategically partner with our clients to leverage our expertise in design and software, while our clients bring their own domain expertise. We work with a variety of clients from different industries, collaborating as we get new products to market, modernizing legacy systems, or helping teams learn the skills they need to be successful.   

Our values:

• Listen first • We are experts in product practices but life long learners in the domain of our customers. We research, collaborate, and understand. 
• Learn why • We ask questions and talk to users to understand problem spaces, objectives, and goals, which allows us to deeply invest and drive towards the outcomes of our clients. 
• Love your craft • We love diving into a variety of domains and solving problems.  We take pride in delivering value, in communicating progress, and guiding our clients to success.

We are seeking an experienced Staff Observability Consultant with deep expertise in OpenTelemetry and strong Platform Engineering capabilities to help organizations implement, optimize, and scale their observability infrastructure. This role requires a seasoned consultant who can design comprehensive telemetry strategies, implement distributed tracing solutions, establish robust monitoring practices, and interface closely with clients on the observability journey.

Key Responsibilities:

OpenTelemetry & Observability

• Design and implement end-to-end OpenTelemetry solutions across diverse technology stacks
• Configure and deploy OpenTelemetry Collectors for efficient data collection, processing, sampling, and routing
• Establish telemetry pipelines for metrics, traces, and logs across microservices architectures
• Optimize collector configurations for performance, reliability, and cost-effectiveness

Platform Engineering & Infrastructure

• Augment existing infrastructure with with integrated observability solutions
• Implement Infrastructure as Code (IaC) solutions using Terraform, Pulumi, CloudFormation, etc.
• Architect and manage Kubernetes clusters with comprehensive monitoring and logging
• Build CI/CD pipelines with embedded observability and automated testing

Site Reliability Engineering (SRE)

• Establish and maintain Service Level Indicators (SLIs), Objectives (SLOs), and Agreements (SLAs)
• Implement error budgets, toil reduction strategies, and capacity planning
• Support incident response procedures and post-mortem processes

Cloud & DevOps Engineering

• Deploy and manage observability infrastructure across AWS, GCP, and Azure
• Establish security, compliance, and governance frameworks for telemetry data
• Experience automating Agent Evaluations in CI/CD pipelines and observability backends.

Required Qualifications:

Core Observability & OpenTelemetry

• 3-7 years of experience in observability, monitoring, and distributed systems
• Deep hands-on experience with OpenTelemetry ecosystem, including SDKs, APIs, and specifications
• Proficiency with OpenTelemetry Collector configuration, processors, exporters, and receivers
• Strong understanding of telemetry data models, semantic conventions, and instrumentation best practices

Platform Engineering & DevOps

• 5+ years of Platform Engineering or DevOps experience with focus on site reliability, observability, and incident response
• Proficiency with Infrastructure as Code tools (Terraform, Pulumi, CloudFormation, CDK)
• Strong experience with CI/CD platforms (GitHub Actions, GitLab CI, Jenkins, ArgoCD)

Cloud & Infrastructure

• Hands-on experience with major cloud providers (AWS, GCP, Azure) and their observability services
• Experience with container technologies (Docker, Podman) and container registries
• Knowledge of networking, security, load balancing, and distributed systems concepts

Site Reliability Engineering

• Experience implementing SRE practices including error budgets and toil metrics
• Proficiency in incident management, on-call procedures, and post-mortem culture
• Experience with capacity planning, performance optimization, and scalability design

Programming & Automation

• Proficiency in multiple programming languages preferred (Go, Python, Java, Node.js, Rust)
• Strong scripting and automation skills (Bash, Python, PowerShell)
• Understanding of software engineering best practices and testing methodologies

Preferred Qualifications (Exceptional Candidates)

AI & Agentic Frameworks

• Understanding of Large Language Models (LLMs) and their application in DevOps
• Knowledge of vector databases, embeddings, and retrieval-augmented generation (RAG)
• Experience with AI/ML model deployment and monitoring in production environments

Leadership & Communication

• Strong technical writing and documentation skills
• Ability to present complex technical concepts to diverse stakeholders
• A passion for knowledge sharing

Key Competencies

• Systems thinking and ability to design holistic observability solutions
• Strong analytical and troubleshooting skills for complex distributed systems
• Curiosity about emerging technologies, particularly AI applications in operations
• Adaptability to rapidly evolving cloud-native and observability technologies
• Collaborative mindset with focus on enabling developer productivity and system reliability

What Sets Exceptional Candidates Apart:

• Experience with Honeycomb
• Contributions to open-source observability or AI framework projects
• Track record of implementing platform engineering solutions that significantly improved developer experience
• Experience scaling observability infrastructure to handle high event volume

What to know before you apply: 

• This role will require being in the Denver office three days per week and up to 20% travel within the United States.
• Focused is unable to sponsor or take over sponsorship of the employment Visa process at this time.
• The Denver base salary range for this role is $160,000 - $200,000.

Who we are:

At Focused, we move quickly to deliver quality software that achieves client outcomes and meets their customer’s needs. We strategically partner with our clients to leverage our expertise in design and software, while our clients bring their own domain expertise. We work with a variety of clients from different industries, collaborating as we get new products to market, modernizing legacy systems, or helping teams learn the skills they need to be successful.   

Our values:

• Listen first • We are experts in product practices but life long learners in the domain of our customers. We research, collaborate, and understand. 
• Learn why • We ask questions and talk to users to understand problem spaces, objectives, and goals, which allows us to deeply invest and drive towards the outcomes of our clients. 
• Love your craft • We love diving into a variety of domains and solving problems.  We take pride in delivering value, in communicating progress, and guiding our clients to success.

We are seeking an experienced Observability Consultant with deep expertise in OpenTelemetry and strong Platform Engineering capabilities to help organizations implement, optimize, and scale their observability infrastructure. This role requires a specialist who can design comprehensive telemetry strategies, implement distributed tracing solutions, establish robust monitoring practices, and interface closely with clients on the observability journey.

Key Responsibilities:

OpenTelemetry & Observability

• Design and implement end-to-end OpenTelemetry solutions across diverse technology stacks
• Configure and deploy OpenTelemetry Collectors for efficient data collection, processing, sampling, and routing
• Establish telemetry pipelines for metrics, traces, and logs across microservices architectures
• Optimize collector configurations for performance, reliability, and cost-effectiveness

Platform Engineering & Infrastructure

• Augment existing infrastructure with with integrated observability solutions
• Implement Infrastructure as Code (IaC) solutions using Terraform, Pulumi, CloudFormation, etc.
• Architect and manage Kubernetes clusters with comprehensive monitoring and logging
• Build CI/CD pipelines with embedded observability and automated testing

Site Reliability Engineering (SRE)

• Establish and maintain Service Level Indicators (SLIs), Objectives (SLOs), and Agreements (SLAs)
• Implement error budgets, toil reduction strategies, and capacity planning
• Support incident response procedures and post-mortem processes

Cloud & DevOps Engineering

• Deploy and manage observability infrastructure across AWS, GCP, and Azure
• Establish security, compliance, and governance frameworks for telemetry data
• Experience automating Agent Evaluations in CI/CD pipelines and observability backends.

Required Qualifications:

Core Observability & OpenTelemetry

• 3-5 years of experience in observability, monitoring, and distributed systems
• Deep hands-on experience with OpenTelemetry ecosystem, including SDKs, APIs, and specifications
• Proficiency with OpenTelemetry Collector configuration, processors, exporters, and receivers
• Strong understanding of telemetry data models, semantic conventions, and instrumentation best practices

Platform Engineering & DevOps

• 5+ years of Platform Engineering or DevOps experience with focus on site reliability, observability, and incident response
• Proficiency with Infrastructure as Code tools (Terraform, Pulumi, CloudFormation, CDK)
• Strong experience with CI/CD platforms (GitHub Actions, GitLab CI, Jenkins, ArgoCD)

Cloud & Infrastructure

• Hands-on experience with major cloud providers (AWS, GCP, Azure) and their observability services
• Experience with container technologies (Docker, Podman) and container registries
• Knowledge of networking, security, load balancing, and distributed systems concepts

Site Reliability Engineering

• Experience implementing SRE practices including error budgets and toil metrics
• Proficiency in incident management, on-call procedures, and post-mortem culture
• Experience with capacity planning, performance optimization, and scalability design

Programming & Automation

• Proficiency in multiple programming languages preferred (Go, Python, Java, Node.js, Rust)
• Strong scripting and automation skills (Bash, Python, PowerShell)
• Understanding of software engineering best practices and testing methodologies

Preferred Qualifications (Exceptional Candidates)

AI & Agentic Frameworks

• Understanding of Large Language Models (LLMs) and their application in DevOps
• Knowledge of vector databases, embeddings, and retrieval-augmented generation (RAG)
• Experience with AI/ML model deployment and monitoring in production environments

Leadership & Communication

• Strong technical writing and documentation skills
• Ability to present complex technical concepts to diverse stakeholders
• A passion for knowledge sharing

Key Competencies

• Systems thinking and ability to design holistic observability solutions
• Strong analytical and troubleshooting skills for complex distributed systems
• Curiosity about emerging technologies, particularly AI applications in operations
• Adaptability to rapidly evolving cloud-native and observability technologies
• Collaborative mindset with focus on enabling developer productivity and system reliability

What Sets Exceptional Candidates Apart:

• Experience with Honeycomb
• Contributions to open-source observability or AI framework projects
• Track record of implementing platform engineering solutions that significantly improved developer experience
• Experience scaling observability infrastructure to handle high event volume

What to know before you apply: 

• This role will require being in the Chicago office three days per week and up to 20% travel within the United States.
• Focused is unable to sponsor or take over sponsorship of the employment Visa process at this time.
• The Chicago base salary range for this role is $130,000 - $170,000.