Who we are

About Stripe 

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the organization 

Stripe Infrastructure is responsible for the reliability, scale, performance, and cost of Stripe’s systems and the productivity and sentiment of Stripe’s people. 

You may work on a wide variety of critical business areas including: 

• Core Infrastructure - We’re the home for Stripe's critical tier0 infrastructure systems (Compute, Networking, DocumentDB, Distributed Caching and High assurance engineering). We build the foundational platform for Stripe products and services to allow them to operate at scale. We drive reliability, availability, efficiency and scalability of these systems.
• Developer Infrastructure - We’re responsible for the productivity of all developers at Stripe. Ensure Stripe’s engineers have a reliable, fast, and easy-to-use inner dev loop to maximize productivity while building everything from low-latency microservices to large-scale data pipelines and machine learning models
• Data Infrastructure -  We’re responsible for offering data serving infrastructure spanning across data warehouse analytics, streaming analytics and search capabilities. The stack is supported by a collection of internally developed large scale distributed services and several popular open source technologies like Trino/Presto, Apache Pinot, Hive Metastore, ElasticSearch etc. The systems we own support all of the data serving needs of high scale services and thousands of individual Stripes across the company. 
• Admin Platform - We empower Stripes to quickly build secure and delightful internal products in service of their users.
• Service Platform - We enable engineering teams at Stripe to easily write and ship useful services that correctly, reliably, and efficiently leverage platform capabilities.
• Developer Productivity AI - We're responsible for doubling Stripe's engineering velocity through effective use of LLMs. We own Minions, Stripe’s one-shot, end-to-end coding agents. 

Team Matching: exact team matching for one of the subteams will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. More information on our team matching process can be found here.

What you’ll do

You will work on projects that span technologies, systems, and processes where you will design, build, test, and ship great code every day.

Responsibilities

• Build a great customer experience for internal and external Stripe teams using our infrastructure
• Participate in roadmap planning and prioritization
• Deliver value through a strong collaborative approach with multiple customers and stakeholders across Stripe
• Debug production issues across services and several levels of the stack

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum Requirements 

• Strong software engineering skills and a passion for one of the areas above.
• Ability to write high quality code (in programming languages like Go, Java, C/C++ etc)
• 2-12+ years of professional hands-on software development experience, able to write well-factored algorithms and have experience with commonly used data structure and algorithms
• Hands-on experience contributing to or building large scale distributed systems
• Strong collaboration skills, can work across workstreams within your team and contribute to your peers’ success
• Customer obsession, ability to articulate and represent customer experience in various forums to drive the right outcome
• Have the ability to thrive on a high level of autonomy, responsibility, and think of yourself as entrepreneurial

Preferred Qualifications

• Experience optimizing the end to end performance of distributed systems
• Focuses on the needs of our users, both internal and external
• Hold yourself and others to a high bar when working with production

The mission of our Solution Engineering team at Gong is to serve as trusted partners, advising on complex workflows and guiding customers toward an AI-first approach to their go-to-market strategy, ultimately helping them achieve their desired business outcomes.

As a Lead Solution Engineer on the team, you will be instrumental in creating raving fans among our prospects and customers. Your focus will be on helping them understand how our platform can drive their strategic business initiatives across the organization. 

RESPONSIBILITIES

• Work alongside Sales and Customer Success as the ultimate product expert and account team technical advisor.
• Thoroughly understand all aspects of the Gong platform in order to explain and demo the technology to all types of users.
• Be the trusted advisor to both prospects and customers to ensure they get the correct business outcome and value from our Gong technology, including business value quantification.
• Assist prospects and customers with business assessments (POCs, Pilots).
• Craft content to show customers how to leverage Gong for specific use cases.
• Execute the build and delivery of outcome-based demos and solution architecture diagrams for customers that have highly complex use cases.
• Solution complex business and technical requirements and explain them in simple terms.
• Assist with RFPs and questionnaires in the context of sales cycles.
• Help eliminate bottlenecks by working cross-functionally (Sales, Customer Success, Support, Product Management, Engineering) in order to get deals across the line.
• Partner with and support Marketing on demand gen activities (webinars, conferences, events).
• Contribute reusable assets to the Sales Engineering team and the company at-large.
• Collaborate closely with Product Marketing, Product Management, and Engineering to share voice of the customer feedback in order to influence our product roadmap and GTM strategies.

QUALIFICATIONS 

• 8+ years of customer facing experience in a solution engineering role (pre-sales) or a combination of solution engineering and other relevant work experience.
• Experience with sales technology: CRMs, cloud architecture, or telephony / web conference systems.
• Experience with data flows, AI & ML concepts, analytics, APIs, webhooks, or JSON is a plus.
• Understanding of security and privacy pertaining to SaaS systems.
• Understanding of key sales personas and workflows (including forecasting and prospecting) within a GTM organization.
• Excellent verbal and written communication skills.
• Strong interpersonal and teamwork skills.
• Able to make the complex sound simple!

PERKS & BENEFITS 

• We offer Gongsters a variety of medical, dental, and vision plans, designed to fit you and your family’s needs.
• Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle.
• Mental Health benefits with covered therapy and coaching.
• 401(k) program to help you invest in your future.
• Education & learning stipend for personal growth and development.
• Flexible vacation time to promote a healthy work-life blend.
• Paid parental leave to support you and your family.
• Company-wide recharge days each quarter.
• Work from home stipend to help you succeed in a remote environment.

The target OTE for these positions is $205,000-$220,000.

Compensation is based on factors unique to each candidate, including, but not limited to, job-related skills, qualification, education, experience, and location. At Gong, we have a location-based compensation structure, which means there may be a different range for candidates in other locations. The total compensation package for this position, in addition to base compensation, may include incentive compensation, bonus, equity, and benefits. Some of our sales compensation programs also offer the potential to achieve above targeted earnings for those who exceed their sales targets. 

We are always looking for outstanding Gongsters! So if this sounds like something that interests you regardless of compensation, please reach out. We may have more roles for you to consider and would love to connect.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Gong recruiting email communications will always come from the @gong.io domain. Any outreach claiming to be from Gong via other sources should be ignored.

Gong is an equal-opportunity employer. We believe that diversity is integral to our success, and do not discriminate based on race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, military status, genetic information, or any other basis protected by applicable law.

To review Gong's privacy policy, visit https://www.gong.io/gong-io-job-candidates-privacy-notice/ for more details.

Role Summary

We’re looking for a Digital Content & AI Automation Manager to lead our transition to 'Vibe Marketing.' Inspired by the shift toward Vibe Coding, we want to bridge the gap between creative intent and digital execution. You’ll move Okta away from manual tickets and rigid CMS forms toward an agentic, self-service model—building the tools that allow marketers to describe a goal in natural language and see it manifest across our digital ecosystem.

This is a test, learn, build, iterate role. You aren't just managing a stack; you’re building an autonomous engine that empowers every marketer to be a creator.

What You’ll Actually Do

• Build the "Vibe Marketing" tools: Create the workflows and agentic layers that allow non-technical stakeholders to manage and scale digital content across its entire lifecycle using natural language and AI assistance.
• Develop Agentic Support Models: Prototype and deploy AI agents that act as "co-pilots" for Marketing Managers—handling everything from automated tagging and metadata to complex distribution across our headless ecosystem.
• Architect Self-Service Systems: Reduce the "time-to-live" by building modular, reusable content structures that agents can manipulate, moving us beyond the constraints of traditional platforms like Adobe Experience Manager.
• Operate Like a Lab: Run rapid experiments with emerging AI tools and automation platforms. Build scrappy prototypes—not just strategy decks—to prove that "vibe-based" creation works at enterprise scale.
• Partner Across Teams: Bridge the gap between "what if" and "here’s how," working with Marketing, Engineering, and Digital teams to turn agentic concepts into production-ready workflows.

What We’re Looking For

• The "Vibe" Mindset: You understand the shift from "doing the work" to "directing the agents." You’ve followed the Vibe Coding movement and are itching to apply it to Marketing Tech.
• 4–8 Years of Experience: You’ve seen the limitations of legacy CMS architectures and are ready to bypass those bottlenecks by building a modern, agent-led content supply chain.
• Hands-on AI & Automation: You don't just prompt; you build. You have experience with APIs, MCP, LLM orchestration, and connecting tools to create seamless loops.
• Technical Fluency: You aren't a full-stack engineer, but you understand how to navigate enterprise complexity—you're comfortable with structured content, and the logic of how data flows between a headless CMS, an LLM, and the front-end.

#LI - Hybrid

P24086_3333054

Okta- Solutions Engineer- SLED

The Solutions Engineer Team

We believe Solutions Engineers at Okta are involved in all stages of the customer’s digital transformation.  Solutions Engineers are experienced using presentations, email, phone and social media to connect with customers virtually and in-person. We are looking for great teammates who can build and deliver sales presentations and customized product demonstrations to help educate Okta’s Customers (everyone from developers to product managers to C-level executives) on best practices during their cloud security technology journey. We believe Okta’s Solutions Engineers empathize with Customers and quickly discern their true technical needs by asking detailed, clarifying questions while presenting solutions that specifically address those needs. Okta Solution Engineers have the rare combination of technical acumen and business insight; in a career where you can utilize both. As a Solutions Engineer at Okta, you will further develop each of these skills by advising a diverse set of customers on the value they will gain by using Okta’s Identity Platform.

The Solutions Engineer Opportunity

Reporting to the Senior Manager of Solutions Engineers, the Solutions Engineer is a functional business consultant,  with a passion for technology and the advanced ability to develop, position and demonstrate product-specific solutions during sales cycles, while achieving quarterly and annual sales goals for an assigned territory.

What you’ll be doing 

• Work alongside the sales team as the technical and domain expert of a customer-facing sales team to help Customers understand the value of Okta’s solutions
• Understand customer challenges and business issues and provide product demonstrations to align our solutions with customer needs
• Answer product feature and technical questions from customers, partners and Okta colleagues
• Plan and deliver Proof Of Concepts for customers who have more complex use cases, collaborating with other Okta engineering teams as needed
• Provide feedback to product management about product enhancements that can address customer needs and provide additional value
• Share and learn best practices and re-usable assets with other Solutions Engineers to enhance the quality and efficiency of the team
• Stay current on competitive analysis and market differentiation
• Support marketing events including executive briefings, conferences, user groups, and trade shows
• At times, be asked to learn and lead your team as a subject matter expert (SME) with various product solutions and/or competitive knowledge

What you’ll bring to the role

• 3-5+ years pre-sales engineering experience.
• A passion to serve the Customer, demonstrated in a customer-facing role, such as consulting or support, but ideally in a pre-sales capacity.
• An ability to quickly communicate complex ideas around a technical topic, ideally on the fly, using a whiteboard.
• Deployed apps in cloud platforms: AWS, Azure, GCP, Vercel, etc.
• Experience with at least one standard network security protocol. (eg. OAuth, OAuth2, SAML, LDAP)
• Experience working with REST APIs, API Gateways, and SDKs
• Hands-on experience in one or more of the following areas: web (JavaScript, HTML, frontend frameworks) development, mobile (iOS, Android) development, backend (Java, C#, Node.js, Python, PHP, Ruby) development, IP-based real-time communications
• An understanding of core security concerns within a typical application. (password hashing, SSL/TLS, encryption at rest, XSS, XSRF)
• Exceptional communicator.
• Confident dispensing knowledge to a highly skilled and experienced audience, presenting to large rooms filled with experts in the field
• Territory management skills, including pipeline building and working with Sales counterparts to guide execution excellence
• Typically 25% travel.
• Bachelor's degree in Engineering, Computer Science, MIS or a comparable field is preferred.

You might also have (not mandatory):

• Hands-on experience with Generative AI or LLM technology such as LangChain, GenKit, LlamaIndex, etc.
• Experience integrating with microservices, data lakes, or customer data platforms.
• Developed ReBAC or Fine Grain Authorization models
• Diagramming experience for user journey flows, complex architecture diagrams, etc.

#LI-San Francisco

#LI-RZ

P24424_3330263

The Team + The Role

Pendo’s Customer Engineering team is the technical backbone of the pre- and post-sales customer motion. The team brings together work that has historically sat across Customer Success, Technical Account Management, and Solutions Engineering into one full-lifecycle technical owner. Customer Engineering helps customers connect technical execution to business outcomes and realize the value of their investment in Pendo.

As a Senior Customer Engineer, you own strategic and complex Enterprise accounts across acquisition, implementation, adoption, expansion, and escalation. You lead technical strategy for complex deployments, resolve ambiguous customer challenges, and partner closely with account teams to drive retention, expansion, and customer value. Your impact extends beyond your own accounts through playbooks, coaching, repeatable fixes, and workflow improvements that raise the capability of the broader Customer Engineering team.

This is a remote role supporting a central region.

What this looks like day-to-day

• New customer acquisition and selling: Partner with Account Directors on pre-sales motions for new customer acquisition, product expansion, and expansion across lines of business. You identify customer pain, craft and deliver tailored demos, and lead technical evaluations through requirements gathering, success criteria, installation guidance, and hands-on workshops.
• Complex implementations and value realization: Lead onboarding for strategic customers, including planning, implementation, integrations, and training. You build customer-specific implementation playbooks, guide complex deployments with executive visibility, and ensure customers realize value during onboarding and over time.
• Adoption, expansion, and growth: Identify opportunities to expand adoption across underutilized features, untapped products, and new lines of business. When adoption stalls, you diagnose root causes, design a path forward, and connect technical work to measurable business outcomes.
• Technical escalation: Serve as an escalation point for complex technical challenges raised by other Customer Engineers. You resolve ambiguous problems with multiple variables and tradeoffs, involving Product or Engineering only when truly needed.
• Team capability building: Build playbooks, document repeatable fixes, coach peers, and improve how Customer Engineering work gets done across the team. You use AI tools to accelerate content creation, surface patterns across accounts, and share practical workflow findings with the broader team.
• Early account impact: Assess account health, risks, stakeholder relationships, and the highest-priority problems to solve within your portfolio. You establish trust with Account Directors and customer stakeholders, then independently lead complex customer interactions that move accounts forward.
• Quarterly business outcomes: Drive measurable improvement in customer health, retention, expansion, and technical resolution across strategic accounts. You contribute reusable frameworks, playbooks, or processes that other Customer Engineers use and become a trusted advisor to Account Directors on account health and technical strategy.

Who You Are

Beyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things we'll actually look for in how you talk about your work.

You're a builder, not a maintainer.

You're most energized when there isn't a clear path yet, and you get to define it. You don't wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great Senior Customer Engineers don't just follow instructions; they operate as strategic advisors, influencing decisions, guiding stakeholders, and elevating how we work.

You're AI-curious - genuinely.

You're not using AI tools occasionally. You're rewiring how you work around them. You're faster, sharper, and more prolific because of it, and you bring that energy to everything — how you approach your work, how you prep, how you communicate, how you think. We want someone who sees AI as a multiplier, not a shortcut.

Must-haves

• 5 to 8 years of experience in a customer-facing technical role such as Sales Engineering, Solutions Engineering, Technical Account Management, Customer Engineering, implementation, professional services, or solutions architecture.
• Deep hands-on experience with web technologies including HTML, CSS, JavaScript, and REST APIs, with the ability to architect and troubleshoot complex front-end implementations.
• Proven experience managing strategic accounts with executive-level stakeholders, competing priorities, and complex technical or business requirements.
• Demonstrated ability to solve ambiguous problems involving multiple variables, constraints, and tradeoffs.
• Experience connecting technical execution to business outcomes such as retention, expansion, ROI, and value realization.
• Hands-on use of AI tools for account research, content creation, or workflow automation, with demonstrated integration into day-to-day work rather than light experimentation.
• Experience mentoring or coaching more junior technical team members.

Nice-to-haves

• Experience with Pendo, digital adoption platforms, product analytics, or in-app experience tooling in an enterprise environment.
• Hands-on experience with mobile app development, including Swift, Android, or React Native.
• Familiarity with data architecture, AI or machine learning concepts, or advanced analytics instrumentation.
• Track record of building reusable frameworks, playbooks, or processes that were adopted by a broader team.

About Pendo

Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech.

Pendo Core Values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus.

Location: Remote

Compensation: The expected On-Target Earnings (OTE) range for this role is $193,393 - $241,742, with a 70/30 base-to-variable compensation split.

Benefits: Pendo offers highly competitive United States benefits, including employer-heavy coverage with $0 premium options, strong 401(k) match, equity, and flexible time off.

EEOC: We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives.

Accessibility: Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: accommodation@pendo.io. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

Aquatic Capital Management is seeking a Systems Engineer to join our team.  

Systems Engineer

Infrastructure & Research Computing

Aquatic Capital Management  •  Chicago, IL  •  Full-Time

About the Role

• We are hiring a Systems Engineer to join our Infrastructure team. This is a senior individual contributor role with significant architectural ownership, and real accountability for how our research and trading systems compute.
• You will own and evolve the compute infrastructure that powers quantitative research and production trading at Aquatic: our on-premise grid, hybrid cloud compute (GCP and AWS), GPU workloads, storage systems, and the automation that ties it all together.

What You Will Do

Grid & High-Performance Computing

• Own and evolve Aquatic's Slurm and Ray cluster infrastructure across on-prem and GCP — supporting research and trading workloads including fitting, tuning, backtesting, feature computation, and market data processing.
• Drive architectural improvements to capacity, scheduling efficiency, and throughput across the full footprint, including GPU computation. 
• Design and maintain the connectivity and automation between on-prem and cloud environments
• Evaluate and implement newer compute paradigms as research needs evolve 

Storage & Performance

• Own high-performance storage systems including VAST (NFS and S3-compatible), ensuring data access is fast and reliable across research, trading, and build workloads.
• Investigate and resolve performance bottlenecks at the intersection of storage, network, and compute.

Developer Experience & Automation

• Design and maintain provisioning systems for complex compute resources and datacenter onboarding.
• Own and improve CI/CD infrastructure (GitHub Actions) as well as the development toolchain for the broader engineering organization.

Technical Leadership & Mentorship

• Serve as the go-to architect for infrastructure decisions; provide technical direction and help establish vision across the team.
• Pair with and mentor earlier-career Systems & Software Engineers, helping them develop sound instincts and grow their skills.
• Diagnose and resolve the hardest, most obscure system issues that others cannot get to the bottom of.

What We Are Looking For

Required

• 10+ years of experience in systems engineering, infrastructure, or a closely related discipline.
• Deep Unix/Linux expertise across multiple distributions; comfortable at every layer of the stack.
• Strong experience with HPC grid systems (SLURM preferred) in a research or scientific computing environment.
• Experience provisioning and managing bare-metal infrastructure and data centers, not just cloud-native environments.
• Familiarity with high-performance / parallel storage systems (VAST, GPFS, Lustre, or similar).
• Strong scripting and automation fluency (Bash, Python, or similar); able to build tools that others rely on and to contribute to and own production codebases.
• Ability to operate as an independent technical leader: establishing direction, building trusted relationships, and communicating clearly with stakeholders outside the team.

Strongly Preferred

• Experience with distributed compute frameworks such as Ray, Dask, or Spark in a research context.
• Low-level systems programming on Linux using C/C++, with a focus on performance and reliability.
• Experience with GPU computation and instrumenting GPU utilization for ML/research workloads.
• Hands-on experience building and operating cloud infrastructure on GCP (or comparable major cloud), including autoscaling compute clusters.
• Strong networking fundamentals; able to design and troubleshoot complex network topologies including cloud interconnects.
• Background working alongside quantitative researchers or software engineers in a trading, finance, or research-intensive organization.

What Makes You Stand Out

• You have an architectural mindset: you think about how systems will fail before they do, and you build for stability and operational simplicity.
• You are energized by the intersection of systems and the people who use them. You want researchers and engineers to have great tools, not just working ones.
• You are a patient, generous mentor. You grow the people around you.
• You are direct, give well-reasoned dissenting opinions when you have them, and do not let ideas roll by unchallenged when you see a better path.

The base salary for this role is anticipated to be between $150,000 and $300,000, which is based on information at the time of posting. This position may also be eligible for additional forms of compensation, such as a discretionary bonus, and benefits. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their unique skills, qualifications and relevant experience.

Who you’ll be working with

We ideate, create, and coordinate. We analyze, strategize, organize, and prioritize. We bridge the communication channel between the client and our project team. We chart the course and navigate the product roadmap sprint by sprint. Some of us are product owners. Some of us are scrum masters. Many of us wear multiple hats and do whatever’s needed to deliver successful projects.

What you’ll be doing

• Design, develop, and maintain scalable fullstack applications using React/NextJS (TypeScript) on the frontend and Python (Django/FastAPI) or Node.js (Express/NestJS) on the backend.
• Collaborate with Product Managers, Designers, and Engineers to translate business requirements into high-quality technical solutions.
• Build reusable, maintainable, and performant UI components and backend services
• Develop and integrate RESTful and/or GraphQL APIs, ensuring reliability and scalability
• Contribute to architecture discussions and help define best practices across frontend and backend systems.
• Ensure code quality through code reviews, unit/integration testing, and adherence to engineering standards.
• Optimize application performance, scalability, and security across the stack.
• Participate in agile ceremonies including sprint planning, standups, and retrospectives.
• Troubleshoot, debug, and resolve production issues in collaboration with DevOps and QA teams.
• Mentor junior engineers and contribute to a culture of continuous improvement and learning.

What you’ll need to be successful (Requirements)

• Minimum of 4+ years of hands-on development experience in fullstack development
• Strong proficiency in React/NextJS (TypeScript), including state management (e.g., Redux, Context API) and modern frontend practices
• Solid experience with backend development using Python (Django, FastAPI) or Node.js (Express, NestJS)
• Experience designing, implementing and consuming RESTful APIs and/or GraphQL API services
• Strong understanding of database design and experience with relational databases (e.g., PostgreSQL, MySQL)
• Familiarity with cloud platforms such as AWS, GCP, or Azure
• Experience with version control (Git) and CI/CD pipelines through github actions
• Strong problem-solving skills and ability to work in a fast-paced, client-facing environment
• Excellent communication skills and ability to collaborate across cross-functional teams
• Experience working in agile or scrum-based environments
• Familiarity with cloud-based logging, monitoring, and security tools

Bonus Points for these (Preferred Experience)

• Experience with headless CMS platforms (e.g., Contentful, Contentstack, Sanity)
• Familiarity with eCommerce platforms (e.g., Shopify, BigCommerce, Saleor)
• Experience with microservices architecture and containerization (Docker, Kubernetes)
• Knowledge of DevOps practices, infrastructure-as-code (Terraform, CDK), and monitoring tools (Prometheus, Grafana)
• Experience working on healthcare, fintech, or regulated industry projects
• Experience with Data analytics platforms like GCP BigQuery, snowflake

Need another reason to hit the “apply” button? 

• Codal is a global agency with over 200 employees, and offices in the US, Canada, the UK, and India 
• We regularly host happy hours, dinners, excursions, and other company events to unwind after a hard day at work
• Office snacks and drinks + a fancy Bevi water machine with flavored water 
• We offer Medical, Life, Dental/Vision, and many more insurance types 
• Employer 401k match - 4% 
• A recreational group that regularly competes in city leagues for softball and volleyball 
• An office in the heart of downtown Chicago with a gym, food court, Walgreens, rooftop bar, outdoor sports court, and other amenities
• Working hybrid for in-person collaboration and sprint-planning days

**Please note, this is a hybrid role in Chicago.  Applicants should be located in the Chicagoland are or open to relocating on their own. 

Machine Learning Engineer – Inspire11

Elevens, as we call ourselves here, are curiously smart, purposefully scrappy, and dedicated to the highest standard of quality. By being true to ourselves and others, we create a respectful environment that enhances collaboration, drives growth through high expectations, and ensures alignment with our core values. Inspire11 is more than a modern business and technology consulting firm; we're a revolution. We work differently — and it shows. Every move we make is tied to measurable value, and our success aligns with our clients’ success. We partner to simplify the complex, solve sustainably, and stay ahead by continuously pushing our own thinking forward. Value creation isn't something we talk about — it's something we live, every day. 

At Inspire11, we're not just offering a job; we're providing a platform for you to transform the future. You'll feel right at home here if you think differently, build boldly, and lead with impact. We're a place where your unique perspective is valued, your boldness is celebrated, and your potential is unleashed. 

• Growth Through Challenge:  We hold ourselves to the highest standards of excellence and accountability. At Inspire11, we are committed to delivering exceptional results and empowering our employees to take ownership of their work and drive meaningful impact. You'll work alongside elite consultants who challenge you to expand your skills and think even more creatively. 

• The Autonomy to Do Your Best Work: Here, outcomes matter more than outputs. It's about the value we create. You'll have the autonomy to shape your work, drive decisions, and make an impact—not just for our clients but for your growth. You'll be challenged to think strategically, anticipate needs, and solve problems. Bold thinking, creative approaches, and challenging conventional wisdom are part of our DNA. Our clients rely on us to lead them into what's next. 

• Diverse Perspectives Driving Innovative Solutions: We champion inclusivity and authenticity, knowing that diverse perspectives drive better solutions. You'll be encouraged to bring your whole self to work, knowing that's where true innovation happens. We also believe that doing great work should be fun. Our culture thrives on energy, camaraderie, and appreciating the unique contributions that make Inspire11 an amazing place. Our teams get energy from being the best they can be. 

 What you can expect in this role: 

• Designing scalable machine learning infrastructure, including implementing CI/CD pipelines for model deployment
• Monitoring models in production
• Developing Generative AI solutions
• Ensuring security and compliance
• Preprocessing and analyzing datasets
• Developing and fine-tuning ML models to optimize for performance
• Communicating results to stakeholders 

Tools for success: 

• Exhibit strong software engineering principles
• Proficiency in cloud architecture (AWS, Azure, GCP)
• Familiarity with CI/CD and DevOps
• Expertise in data preprocessing and ML techniques
• Experience with model evaluation and libraries like TensorFlow, PyTorch
• Proven experience in ML engineering
• Strong programming skills (Python, R)
• Cloud services and infrastructure knowledge
• Agile methodologies understanding 

Inspire11 is unable to sponsor employment visas at this time. Applicants must be legally authorized to work in the U.S. at the time of application and throughout the duration of employment. 

Inspire11’s Privacy Policy: https://www.inspire11.com/privacy-policy/  

U.S. Compensation & Benefits  

Compensation at Inspire11 
Inspire11 follows Title VII of the Civil Rights Act of 1964, the Equal Pay Act of 1963, the Illinois Human Rights Act, the Illinois Equal Wage Act, and the Illinois Equal Pay Act of 2003. We believe that people performing the same role at the same level, with similar levels of ability or experience, should be similarly compensated. We also believe that the most critical factors driving compensation should be an Eleven’s skill, experience, performance, responsibility, and effort. We may also consider an employee’s length of service, relevant education, training, or certification, and the requirements of a specific job. We may also consider whether the cost of living or competition for talent in specific markets requires adjustments in compensation for employees in those markets. Our goal is to fairly compensate all our Elevens based on these factors within the Company’s financial ability.   

Compensation may be increased or decreased at Inspire11’s discretion based on an employee’s performance reviews, market conditions, and the Company’s financial performance. Inspire11 will always notify an employee in writing before any change is made to their compensation.  

Bonuses 
We may allow employees in Sales, Recruiting, or Leadership to earn periodic bonuses based on sales, revenue, client-specific or practice-specific targets. These targets are communicated to each eligible employee via offer letter or annual update. All such target-based bonuses are calculated based on the Company and an individual’s periodic performance and will only be awarded if: (a) the employee is meeting performance expectations and is an employee in good standing of the Company; (b) the target is met; and (c) the Company’s current financial performance and market conditions permit the bonus to be paid out. All periodic bonuses are discretionary and are earned only when paid out.   

Each year, the Company will decide whether the Company’s financial performance, market performance, and business realities allow it to create an annual bonus pool. If the Company decides that annual bonuses may be awarded, then the Leadership Team will grant annual bonuses to employees in good standing based on the same factors discussed in the previous paragraph while also considering employees’ diligence, performance, expertise, skill, judgment, and experience. To be eligible to participate in this annual bonus pool, an employee must be hired by no later than October 1st of the preceding year. Annual bonuses and merit increases may be prorated based on hire date. Employees eligible for target-based periodic bonuses are not eligible to participate in the annual bonus pool.   

Options or Other Equity in Inspire11 
Inspire11 has a legacy program that allowed certain high-performing employees to purchase shares of the Company through an affiliate. The Company also has a newer program that grants options annually to high-performing employees based on their performance reviews, their managers’ recommendation, and leadership approval. These options have a vesting period associated with them.  

Benefits 
Full-time employees are eligible for the following contributory benefits, where premiums are partially paid by the Company and partially by the employee:   

• Medical insurance plans, 
• Dental insurance plans, and  
• Vision insurance plans.  

Full-time employees are eligible for the following benefits provided wholly by the Company:  

• Short-term disability, providing for a benefit of 60% of an employee’s salary up to a maximum of $2,000 per week for up to 11 weeks after a 7-day waiting period; 
• Long-term disability, providing for 60% of an employee’s salary up to a maximum of $10,000 per month for the time period from the 91st day after a qualifying event through the earlier of the end of the disability or age 67; 
• Life insurance, providing for a benefit of two times the employee’s annual salary, up to a maximum payout of $400,000;   
• A connectivity stipend of $325 annually; 
• Employee Assistance Program, providing for confidential counseling sessions, 24-hour crisis support, online peer support groups, skills training, behavioral health coaching, initial free legal consultations (and discounted rates on referred lawyers), online legal forms, assistance with eldercare and parenting services, among other things.  

Full-time employees are also eligible to participate in the Company’s 401(k) plan, which allows employees to contribute to a standard or Roth IRA. According to a vesting schedule, the Company matches 100% of employee contributions up to 3% of an employee’s salary.  

Depending on eligibility and their elections, full-time employees may also have access to certain tax-advantaged savings accounts set up through the Company, into which employees contribute withheld funds:   

• Flexible savings accounts
• Limited-purpose flexible savings accounts  
• Healthcare savings accounts
• Dependent care savings accounts  
• Commuter benefit accounts  

Paid Time Off and Leave 
Inspire11 grants all eligible employees any statutory leave required by federal, Illinois, or other applicable law, such as FMLA, bereavement, sick leave, emergency leave, jury duty or witness leave, and VESSA leave.   

In addition, Inspire11 has a self-managed paid time off policy (PTO) that does not set predetermined upper limits on the amount of PTO an employee may take. All PTO must be requested in advance and approved by the appropriate supervisor to ensure client work can continue. All full-time employees are expected to take a minimum of one week of PTO each year.   

Inspire11 offers paid parental leave to full-time employees who have been with the company for at least one year. Birthing parents are eligible for up to 12 weeks of paid parental leave, while non-birthing parents are eligible for up to 6 weeks. Short-term disability (STD) benefits are also provided following childbirth. When combined with PTO and STD, birthing parents may receive a total of 18–20 weeks of paid leave. Lastly, Inspire11 has eight paid holidays.  

Other Benefits 
Inspire11 also maintains other programs that provide additional benefits to employees, such as:   

• Impact to 11: a charitable giving matching program where, after being employed by Inspire11 for a year, employees may request that a qualifying charity receive up to $500 in matching donations each year. 
• Professional development benefits for qualifying employees: a program allowing for reimbursement of certain course materials and costs on a discretionary basis for employees who have been at Inspire11 for at least 6 months, with supervisor’s approval. 
• Regular gifts of Inspire11 clothes, office items, and swag.  

Disclaimer 
This document applies only to the United States and to Inspire11 LLC, not our worldwide partners.  

Inspire11 reserves the right to change the benefits offered to employees in accordance with applicable law based on business needs, market conditions, and financial stability. Before changing any benefits, Company will notify all employees of the change and will update this document.  

EEOC 
Inspire11 is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. If you need assistance or a reasonable accommodation during the application process, please contact us at hr@inspire11.com, or inform your recruiting partner.  

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

 Senior AI Engineer - Geneva Trading, Chicago

Geneva Trading is a technology-driven proprietary trading firm where engineering directly impacts performance. We're looking for a senior engineer who can lead the adoption of AI across the organization. Someone who stays on the cutting edge, experiments relentlessly, and ships the practices that actually work to the rest of the team.

This is a hands-on IC position for someone who thrives on autonomy, moves fast, and measures their success by how much more effective they make everyone around them.

 What You'll Do

Explore and evaluate. The AI landscape is evolving weekly. You'll stay current on new models, tools, frameworks, and techniques and have the judgment to separate signal from noise.

Experiment and validate. You'll identify specific problems across the engineering organization, prototype AI-driven solutions, and measure whether they improve outcomes. Not every experiment will work, and that's expected.

Ship and scale. When something works, you'll package it into workflows, tooling, and best practices that the broader team can adopt. This means writing clean, production-quality code.

Measure impact. You'll define and track metrics around engineering efficiency — cycle time, developer throughput, time-to-resolution, or whatever matters most to the team. The goal is demonstrable, measurable improvement.

Lead through influence. You'll drive adoption through training, documentation, and collaboration. You'll need to earn trust by consistently delivering results.

Specific Areas of Focus

• Integrating LLMs and AI assistants into engineering workflows (code review, development, testing, documentation)
• Building automation and orchestration for repetitive or high-friction processes
• Developing internal tools that leverage AI to improve decision-making and productivity
• Evaluating and deploying new AI capabilities as they emerge

 What We're Looking For

• Strong software engineering fundamentals. You're an engineer first, with AI as your current focus area
• Proficiency in Python and comfort building production systems
• Experience applying ML/AI in practical, production settings (not just research)
• Familiarity with LLMs, prompt engineering, and the current AI tooling ecosystem
• Ability to work independently, set your own priorities, and manage ambiguity
• Strong communication skills. You'll need to explain what you're doing and why to both engineers and senior leadership
• Curiosity and pace. You genuinely enjoy keeping up with a fast-moving field

Nice to Have

• Experience with agent orchestration frameworks and multi-step AI workflows
• Familiarity with emerging standards and protocols in the AI tooling space (e.g., MCP)
• Background in trading, fintech, or other performance-sensitive environments
• Experience with cloud platforms (AWS, GCP, or Azure)

Compensation

Base Salary Range: $200,000 – $300,000, plus eligibility for a performance-based bonus.

Final compensation will be determined based on the candidate’s skills, experience, education, and qualifications. In addition to base salary, Geneva Trading offers a competitive total rewards package, including a comprehensive benefits program. Learn more about our employee incentives here: https://www.genevatrading.com/employee-incentives/

Application expected to close: 6/27/26

 Director of AI Engineering– Geneva Trading- Chicago

At Geneva Trading, technology isn’t just a support function; it’s a competitive edge. We’re looking for an innovative engineer who can harness the power of AI and machine learning to transform how we trade, analyze, and operate. If you thrive in fast-paced environments, love solving complex problems, and want to see your work directly impact performance, this is your opportunity to make a difference.

What You’ll Do

• In this role, you will build intelligent features and autonomous workflows that enhance user experiences.
• You will work with large language models (LLMs), agentic frameworks, and orchestration tools to develop next-generation interfaces and intelligent assistants that support workflows.
• Build robust orchestration and automation workflows integrating multi-agent capabilities.
• Develop and maintain pipelines for training, benchmarking, validating, and deploying LLMs and autonomous agents into production environments.
• Build and optimize intelligent tools and automation systems that improve efficiency and decision-making.
• Ensure software quality through clean, maintainable, and optimized code, including support for efficient inference.
• Provide technical leadership on best practices for AI integration, process design, documentation, lifecycle management, and security.
• Drive adoption of AI solutions through collaboration, training, and thought leadership across teams.
• Big data analytics with Agentic AI systems to create actionable insights from verified sources.
• Present insights and outcomes to senior leadership, influencing strategic decisions.

What We’re Looking For

• Degree in Computer Science, Engineering, or a related quantitative field.
• 3+ years of experience in AI, automation, or advanced technology roles.
• Experience developing agentic AI systems, including agent orchestration, tool integration, and autonomous decision-making workflows.
• Strong proficiency in Python and familiarity with AI frameworks and libraries.
• Hands-on experience with MCP and prompt engineering.
• Understanding AI solutions for deployment and monitoring in enterprise environments is important.
• Excellent problem-solving and communication skills; ability to work independently and with senior stakeholders.
• Experience with cloud platforms is a plus.

Compensation

Base Salary Range: $250,000 – $350,000, plus eligibility for a performance-based bonus.

Final compensation will be determined based on the candidate’s skills, experience, education, and qualifications. In addition to base salary, Geneva Trading offers a competitive total rewards package, including a comprehensive benefits program. Learn more about our employee incentives here: https://www.genevatrading.com/employee-incentives/

Application expected to close: 6/27/26

Overview of Role

66degrees is looking for creative, dedicated, and personable technology business professionals for a Principal Cloud Architect position. level. A Principal Cloud Architect is someone capable of designing complex, large-scale, and often "bleeding-edge" solutions. Our ideal candidate will display relentless curiosity and drive around how we organize ourselves and deploy/use technology to ensure our largest and most complex Enterprise clients IT environments drive business value. We are looking for the right fit with our growing team of Principal level Architects as we solve previously "unsolveable" problems with the scale of AI.

Responsibilities

• Build a trusted advisory relationship with strategic accounts and engage with CIO/CTO/VP IT and Business leaders   
• Architectural Strategy & Governance
• Design Global Scale Systems: Lead the end-to-end architectural design of multi-region, highly available cloud ecosystems that support millions of concurrent users and petabyte-scale data processing.
• Standardize Infrastructure as Code (IaC): Establish and enforce enterprise-wide standards for IaC and config management to ensure consistent, repeatable, and audited deployments across all environments.
• Multi-Cloud & Hybrid Orchestration: Architect complex connectivity and workload portability strategies using Anthos, Private Service Connect, and Cloud Interconnects to bridge legacy on-premises systems with modern cloud services.
• Advanced AI & Data Innovation
• Operationalize Generative AI: Design production-grade RAG (Retrieval-Augmented Generation) architectures, ensuring LLMs are secure, reliably operate within capacity constraints and quotas, monitor and control token costs, and implement Enterprise security grade guardrails.
• End-to-End MLOps: Scale the implementation of automated machine learning pipelines—from ingestion to model serving—using Vertex AI (or self-hosted oss models) to reduce the time-to-market for predictive insights.
• Security, Risk & Compliance
• Zero-Trust Leadership: Design and lead the implementation of comprehensive security frameworks including BeyondCorp, VPC Service Controls, and advanced Identity Management (IAM) to protect sensitive workloads against sophisticated threats.
• Regulatory Engineering: Architect technical controls that automate compliance for global standards (e.g., SOC2, HIPAA, GDPR), ensuring the platform is "secure by design" and audit-ready at all times.
• Technical Leadership & Operational Excellence
• Complex Problem Resolution: Serve as the final technical escalation point for critical production issues, performing deep-root cause analysis on global-scale outages or performance bottlenecks.
• Financial Optimization (FinOps): Direct the cost-optimization strategy by designing high-efficiency architectures that balance performance requirements with long-term cloud spend sustainability.
• Cross-Functional Mentorship: Act as a force multiplier by mentoring other architects and engineering teams, fostering a culture of technical excellence and continuous learning.
• Lead Consultant
• Act as a technical subject matter expert, particularly regarding the Google Cloud ecosystem for business users, providing clear and concise explanations of complex concepts. 
• Identify customer priorities, technical objections, and design strategies encompassing the Google ecosystem to deliver business growth and resolve blockers.
• Lead requirements gathering and project scoping.
• Solution design, problem-solving, and architecture diagramming. 
• Provide domain expertise around public cloud and enterprise technology, and effectively promote Google Cloud with clients, at conferences, and online.
• Provide technical expertise to the team on continuous integration/continuous delivery, infrastructure, monitoring, alerting, and security.
• Provide recommendations on integration strategies, enterprise architectures, platforms, and application infrastructure needed to implement a complete solution for clients.
• Assist in delivering technical solutions to meet customer functional needs and improve service reliability, including CI/CD pipelines and infrastructure builds/migrations.
• Provide Engineer-to-Engineer and Architect-to-Engineer support, including whiteboard sessions and informal Q&A.
• Travel to customer sites, conferences, and other related events as required.

Qualifications

• 5+ years of GCP experience is a must. Experience in other clouds is beneficial.
• Proven experience in building, architecting, designing, and implementing globally distributed cloud-based systems, with a strong understanding of API-first design principles and API management platforms.
• Extensive experience with security (zero trust) and networking in cloud environments
• Capable of advising and implementing CI/CD practices to clients using tools such as GitHub, GitLab, Cloud Build, and Cloud Deploy and concepts such as GitOps and GitFlow.
• Experience in containerizing workloads using Kubernetes, Docker, Helm, and Artifact Registry.
• Knowledge of technology solutions and ability to learn emerging technologies, methodologies, and solutions in the Cloud/IT technology space.
• Ability to work cross-functionally, engage and influence audiences.
• Excellent organizational skills and customer-facing communication.
• Proficiency in documentation and knowledge transfer using remote meetings, written documents, and technical diagrams slide decks.
• Experience in implementing hybrid connectivity using VPN or Cloud Interconnect is a plus.
• GCP Credentials:  Professional Cloud Architect Certification plus any other Professional Cert (Data Engineer preferred) or L400 Generative AI skill badge.  Additional certifications Kubernetes (CKA, CKS), or Terraform strongly recommended
• A Bachelor's degree in Electronics Engineering, Data Science, Information Technology, Business Intelligence, Computer Science, or a related field.

Position Description: 

We believe Solutions Engineers at Okta are involved in all stages of the customer’s development lifecycle and are experienced using presentations, email, phone and social media to connect with customers. We are looking for great teammates that can build sales presentations, product demonstrations, and educate customers (everyone from developers to product managers to C-level executives) on the best ways to cloud security technology.  We believe in Okta’s Solutions Engineers empathize with customers and quickly discern their true technical needs by asking detailed and clarifying questions and presenting solutions that target those needs. You have the rare combination of technical savviness and business insight and you’re looking for a career where you can utilize both. As a Senior Solutions Engineer at Okta, you will hone each of these skills by advising a diverse set of Fortune 500 customers on what is possible using Okta’s Identity Platform. 

Job Duties and Responsibilities:

• Collaborate with account executives to develop and execute territory and account strategies to maximize the Okta opportunity in those accounts
• Conduct research and discovery to understand customer requirements and communicate the business value of solving technology problems using cloud technology
• Execute the delivery of POCs for customers with complex use cases, collaborating with other Okta engineering teams as needed
• Craft technical content to show customers how to implement specific use cases or standard methodologies for new technologies
• Prepare and deliver demos to showcase how the Okta platform meets customer’s business needs and use cases.  
• Distill and communicate customer needs and product feedback to Product Management, Engineering, Marketing and Sales

Required Skills:

• • 5+ years pre-sales engineering experience
  • A passion to serve the customer, which has played out in some customer-facing role like consulting or support, ideally solutions engineering
  • An ability to quickly and effectively communicate complex technical concepts via presentation, slides and whiteboard 
  • A Strong Understanding of Identity & Access Management (IAM)
    • SSO, MFA, SCIM, OAuth 2.0, OIDC, SAML, and LDAP.
    • Lifecycle management, role-based access control (RBAC), and provisioning/deprovisioning.
  • A strong understanding of Zero Trust Architecture and core security concerns within a typical application (password hashing, SSL/TLS, encryption at rest, XSS, XSRF)
  • Hands-on experience in one or more of the following areas is a plus: web (JavaScript, HTML, frontend frameworks) development, mobile (iOS, Android) development, backend (Java, C#, Node.js, Python, PHP, Ruby) development, IP-based real-time communications
  • Experience with cloud platforms: AWS, Azure, GCP.
  • You are an elite communicator
  • Can identify, map, and manage multiple personas: IT admins, CISOs, architects, procurement, and legal.
  • Confident dispensing knowledge to a highly skilled and experienced audience
  • Typically 10-25% travel
  • Bachelor's degree in Engineering, Computer Science, MIS or a comparable field is preferred.
•  
•  This role requires in-person onboarding and travel to our San Francisco, CA HQ office during the first week of employment.

#LI-Remote

The Global Data & Insights Team

Okta's Enterprise Data & Insights team powers the data infrastructure that drives decision-making across the company by building reliable pipelines, scalable data platforms, and production-grade data products. We partner closely with internal Data and Insights Analysts as well as external Okta Product teams to unlock business value through robust data architecture, efficient data movement, and the engineering foundations that make data trustworthy at scale.    

The Senior Analytics Engineer, Marketing Opportunity

We are seeking a Senior Analytics Engineer to serve as the technical architect of our marketing data engine. You will own our marketing attribution logic and end-to-end funnel performance data, evolving our current processes into an enterprise-grade ecosystem. Your mission is to uncover the high-fidelity signals that drive new customer acquisition and maximize expansion within our existing base. You’ll tackle a sophisticated roadmap of advanced analytics, transforming raw touchpoints into a trusted, scalable framework for growth.

This role sits at the intersection of business context and technical execution. You will design scalable data models, define consistent business logic, and help establish a strong semantic foundation that enables both human analytics and machine-driven intelligence.

You will partner closely with Marketing stakeholders, Data Analysts, Data Scientists, and Data Engineers to ensure data is accurate, consistent, and easy to consume; whether through dashboards, self-service exploration, or AI-powered workflows.

What you’ll be doing

Data Modeling & Semantics

• Design, build, and maintain scalable data models using dbt and Snowflake
• Define and standardize core Marketing metrics (e.g., pipeline, campaign performance, attribution, conversion rates)
• Establish consistent modeling patterns, naming conventions, and semantic clarity across datasets
• Contribute to a shared semantic layer that enables consistent reporting across channels and tools

AI-Ready Data & Snowflake Ecosystem

• Prepare high-quality, well-governed datasets for use with Snowflake Cortex and Snowflake Intelligence
• Enable data foundations that support LLM-powered use cases such as campaign insights, segmentation, and performance optimization
• Ensure data is context-rich, well-documented, and aligned with business meaning to improve AI accuracy and usability

Data Quality, Governance & Trust

• Implement robust testing, validation, and documentation practices in dbt
• Ensure consistency across dashboards and marketing tools through shared definitions and reusable models
• Apply data governance best practices, including access controls, lineage, and auditability
• Partner across teams to establish clear ownership of marketing data assets and definitions

Collaboration & Delivery

• Partner with Marketing, Customer First, and Analytics teams to translate business needs into scalable data solutions
• Support self-service analytics by building intuitive, reusable datasets across channels (e.g., digital, lifecycle, events)
• Contribute to scalable data workflows that balance immediate campaign needs with long-term maintainability
• Work within an agile environment, contributing to planning, prioritization, and continuous improvement

AI and Data Mindset

• Demonstrate an AI-first mindset, thinking beyond data models and dashboards to how data can power intelligent systems and decision-making
• Understand the importance of well-modeled, well-documented, and semantically clear data for AI and LLM-based use cases
• A level of comfort leveraging AI-assisted workflows to improve productivity, code quality, and consistency
• Curiosity for emerging capabilities in platforms like Snowflake Cortex and Snowflake Intelligence, and how they can be applied to Marketing analytics

What you’ll bring to the role

• 5–8+ years of experience in Analytics Engineering, Data Engineering, or similar roles
• Strong SQL skills and experience building analytics-ready data models
• Mentorship & Engineering Excellence: Mentorship, raising the technical bar, establishing organization-wide standards for dbt/SQL quality and CI/CD
• Hands-on experience with dbt and Snowflake or other ETL, Modeling and database platforms
• Solid understanding of data modeling principles, including dimensional modeling and semantic design
• Experience working with Marketing data (e.g., campaign data, web analytics, CRM, attribution models)
• Familiarity with tools such as Salesforce, Marketo, Google Analytics, or similar platforms
• Experience with data quality, testing, and documentation best practices
• Exposure to Python, R, or data processing frameworks (e.g., PySpark) is a plus
• Experience with BI tools such as Tableau or Looker
• Strong communication skills and ability to work across technical and business teams

What you can look forward to as an Okta employee!

• Amazing Benefits
• Making Social Impact
• Fostering Diversity, Equity, Inclusion and Belonging at Okta 
• Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.

Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/. 

Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.

Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/.

#LI-HM2

#LI-Hybrid

P24712_3413650

P24715_3413656

We are looking for a Senior Architect to join our Emerging Technologies organization. This is a high-leverage, hands-on engineering role designed for a technical leader who wants to stay in the code while steering the architectural direction of our most ambitious bets.

You will be a core contributor and architectural anchor for two high-priority workstreams:

Fine-Grained Authorization (FGA) | Scaling 1 to 10

To build a world-class, low-latency FGA system that remains resilient under the industry’s most complex identity hierarchies. We are looking for an architect who views authorization not as a set of rules, but as a massive-scale graph computation problem that requires elegant, distributed, and mathematically rigorous solutions.
The Work:

• Algorithmic Innovation: Moving beyond naive graph algorithms to implement probabilistic structures and fixpoint algorithms capable of navigating massive organizational hierarchies without computational or memory exhaustion.

• Graph Resolution Heuristics: Engineering workload-aware heuristics that can intelligently prioritize and resolve graph queries based on complexity cost, maintaining low latency even when faced with high-cardinality data sets and deep nesting.

• Fixpoint & Cycle Resolution: Solving for complex resolution requirements, such as circular references and recursive paths, in a horizontally scaled environment where traditional distributed patterns fail to meet our performance mandates.

• Scaling the Probabilistic Logic: Designing the engine to utilize non-deterministic approaches where exact computation is too expensive, ensuring the system remains mathematically rigorous while operating at the limits of global scale. 

AI Products | 0 to 1

We are pioneering the "Agentic Identity" space. This workstream is focused on building foundational products that secure AI Agents and provide developers with the tools to manage identity in an autonomous world.

• The Work: Rapidly architecting and shipping 0-to-1 product offerings that define how agents interact securely.

• The Goal: Establish our platform as the standard for securing the next generation of AI-driven applications.

Core Responsibilities

• Architectural Acceleration: Don’t just design it, build it. You will accelerate teams by writing critical-path code and providing the architectural "connective tissue" between complex systems.

• Algorithmic Leadership: Apply deep expertise in graph theory and distributed systems to solve the unique scaling challenges of our FGA domain.

• Technical Strategy: Partner with product leadership to define the technical roadmap for securing AI agents, ensuring our 0-to-1 bets are built on a sustainable foundation.

• High-Bar Engineering: Set the standard for code quality, system design, and engineering excellence across the Emerging Tech group.

Qualifications

• Senior Architect-Level Technical Depth: Extensive experience as a Senior Architect or Distinguished Engineer with a history of shipping complex, large-scale systems.

• Hands-on Practitioner: You still love coding. You prefer to prove an architectural concept with a PR rather than a slide deck.

• Domain Expertise: Strong background in Authorization/Identity and a mastery of Graph Algorithms.

• Adaptability: Comfortable shifting between the rigors of scaling a "1-to-10" product and the ambiguity of a "0-to-1" AI initiative.

#LI-Hybrid

P20140_3274921

Job Description

Okta is looking for a Senior Developer Advocate to become the voice of Auth0 in the developer community, primarily on X (Twitter), but extending across every platform where developers talk, argue, ship, and share. We don't need someone who can "do social media." We need someone who already lives in it: someone whose timeline is full of framework debates, shipping threads, and hot takes on the latest security disclosure, and who wakes up knowing what developers are talking about before the rest of the company does.

In this role, you will own Auth0's presence in the public developer conversation. You'll engage authentically with developers, amplify what we're building, surface what the community actually cares about, and help us move at the speed of the discourse. You'll turn real-time community signals into action, whether that's a timely thread, a piece of rapid-response content, feedback routed to the product team, or a connection with an influential voice in the ecosystem.

If you've built a following by being genuinely useful and opinionated in developer circles, and you want to do that full-time for one of the most widely-used identity platforms in the world, this is the role.

Core Responsibilities

• Community Listening & Trend Response: Dedicate time to actively monitoring developer conversations on platforms like Twitter/X, Reddit, and Hacker News. You will identify emerging trends in identity/security and mentions of Auth0, converting these insights into immediate opportunities. This could range from drafting a thoughtful reply or a "hot-take" blog post to commissioning a video explainer or routing critical feedback to the Product/Marketing teams.
• Own Auth0's Developer Presence on X and Beyond: Be the primary voice representing Auth0 in real-time developer conversations on X, as well as Reddit, Hacker News, Bluesky, and other platforms where developers gather. Post regularly, engage authentically, and build a consistent presence that developers actually want to follow.
• Turn Social Into a Feedback Channel: Systematically capture developer pain points, feature requests, praise, and criticism from public conversations and route them to Product, Engineering, and Marketing with context. You are the bridge between what developers say in public and what the company does next.
• Create Fast-Cycle, High-Signal Content: Write threads, short posts, quick takes, and lightweight explainers that ride the moment. When a topic is trending, you should be able to ship something valuable within hours, not weeks. Longer-form content (blog posts, video scripts) is secondary but expected when the moment calls for it.
• Collaborate With Internal Teams: Work closely with Product, Engineering, Developer Relations, and Marketing to ensure that what you're seeing externally informs what we build and how we talk about it. Help shape launch strategies, messaging, and positioning based on real community signal.

Minimum Qualifications

• Experience: 4+ years in developer advocacy, developer relations, or a community-facing technical role, with clear evidence of sustained public engagement with developer audiences.
• Established Social Presence: You have an active, authentic presence on X (and ideally other developer platforms). You don't need to be famous, but you should have a track record of engaging meaningfully in technical conversations and a following that reflects that. Share your profile, we will look.
• Technical Credibility: You can hold your own in a conversation about JavaScript/TypeScript frameworks, authentication flows, API design, or web architecture. You don't need to be a senior engineer, but developers should never feel like they're talking to a marketer.
• Speed and Editorial Judgment: You can assess whether something is worth responding to, draft something sharp, and ship it; all within a short window. You understand the difference between being fast and being reckless.
• Communication: Exceptional written English with a voice that feels natural on social platforms, clear, opinionated when appropriate, technically honest, and never corporate.

Preferred Qualifications 

• • Domain Knowledge: Familiarity with Identity protocols (OAuth 2.0, OIDC, SAML) and web security best practices.
  • Content Versatility: Experience producing short-form video (screen recordings, explainer clips, Loom-style walkthroughs) for social distribution.
  • Network in the Ecosystem: Existing relationships or mutual recognition with developers, advocates, or creators in the JavaScript, full-stack, or security communities.

Our Philosophy on AI

We believe AI is a powerful tool to accelerate research and structure ideas, but it is not a replacement for human expertise. We value AI-resilient content, unique, experience-based insights and verified code that generic models cannot replicate. We look for educators who use AI to work smarter, not to do the work for them.

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We are looking for a Staff Software Engineer that will join the Auth0 Security Engineering organization. You’ll be responsible for designing and building the security guardrails for our multi-cloud environment, translating complex security and compliance standards into programmatic, code-driven policies.

What You Will Do

• Cloud Security Strategy: Design organization-wide controls (SCPs, Azure Policy) that provide maximum protection with minimum developer friction.
• Identity & Access Management (IAM): Architect templates and permission boundaries that govern how services and humans interact with our cloud environment with the principle of least privilege in mind.
• Infrastructure & Network Security: Define the security standards for VPC architecture, edge networking, and cross-account connectivity.
• Platform Security Architecture: Lead platform-related security reviews for new features and high-impact services, ensuring security is baked into the design phase.
• System Design: Design systems and processes to validate the security posture of the platform, ensuring our security policies are enforced in real-time with actionable feedback for engineering teams.
• Mentorship & Influence: You raise the bar for the entire organization by mentoring junior engineers and influencing senior leadership on critical security decisions.

What You Bring

• Cloud & Infrastructure Expertise:  8+ years of proven experience in information security, specifically within cloud-native environments, Kubernetes (EKS, AKS), and cloud security.
• Network Architecture & PKI: Deep understanding of secure networking principles, including VPC peering/transit gateways, VPN implementations, edge protection, and managing public/private PKI infrastructures.
• Policy & Automation Specialist: Strong background in building automated controls for enforcing Policy-as-Code within Terraform workflows.
• Practical Risk Assessments: Hands-on experience identifying attack vectors and conducting risk assessments for complex, distributed systems.
• Tooling & AI Proficiency: Experience working with security platforms for analyzing cloud permissions and a background or interest in applying AI to streamline security tasks and governance.
• Collaborative Influencer: Exceptional communication skills with a track record of aligning multiple teams toward shared security goals.
• Education: A Bachelor's degree in Computer Science, Information Security, Systems Engineering, or a related field.

Nice to Have

• Experience navigating compliance frameworks such as FedRAMP, SOC2, or HIPAA in a cloud environment.
• Proficiency in one or more languages used for automation and tooling, such as Python, Go, or JavaScript.
• Experience creating, managing, and securing containerized environments.
• Experience with service mesh (Istio) security policies and zero-trust networking.

Additional requirements:

• This position requires the ability to access federal environments and/or have access to protected federal data.  As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire.

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P-1609.1_3388437

• Work alongside the sales team as the technical and domain expert of a customer-facing sales team to help Customers understand the value of Okta’s solutions
• Understand customer challenges and business issues and provide product demonstrations to align our solutions with customer needs
• Answer product feature and technical questions from customers, partners and Okta colleagues
• Plan and deliver Proof Of Concepts for customers who have more complex use cases, collaborating with other Okta engineering teams as needed
• Provide feedback to product management about product enhancements that can address customer needs and provide additional value
• Share and learn best practices and re-usable assets with other Solutions Engineers to enhance the quality and efficiency of the team
• Stay current on competitive analysis and market differentiation
• Support marketing events including executive briefings, conferences, user groups, and trade shows
• At times, be asked to learn and lead your team as a subject matter expert (SME) with various product solutions and/or competitive knowledge

• Identity and Access Management (IAM) Expertise:
  • 5+ years of pre-sales engineering experience in IAM.
  • Strong understanding of IAM concepts, including OAuth 2.0, OIDC, and SAML.
  • Experience with lifecycle management, role-based access control (RBAC), and provisioning/deprovisioning.
• Technical Proficiency:
  • Hands-on experience in one or more of the following development areas: web (JavaScript, HTML, frontend frameworks), mobile (iOS, Android), backend (Java, C#, Node.js, Python, PHP, Ruby), or IP-based real-time communications.
  • Experience working with REST APIs, API Gateways, and SDKs.
  • Deployed applications on cloud platforms (AWS, Azure, GCP, Vercel, etc.).
  • Understanding of core security concerns in applications (password hashing, SSL/TLS, encryption at rest, XSS, XSRF).
• Customer Engagement & Communication:
  • Passion for serving customers, demonstrated in a customer-facing role (ideally pre-sales, but consulting or support also valued).
  • Ability to quickly communicate complex technical ideas, including on-the-fly whiteboard explanations.
  • Elite communication skills, confident in dispensing knowledge and presenting to highly skilled and experienced audiences.
• Strategic & Organizational Skills:
  • Territory management skills, including pipeline building and collaboration with sales counterparts for execution excellence.
  • Diagramming experience for user journey flows, complex architecture diagrams, etc.
• Education & Travel:
  • Bachelor's degree in Engineering, Computer Science, MIS, or a comparable field is preferred.
  • Typically 25% travel.

• Experience with Auth0, Auth0 FGA, or OpenFGA.
• Hands-on experience with Generative AI or LLM technology (LangChain, GenKit, LlamaIndex, etc.).
• Experience integrating with microservices, data lakes, or customer data platforms.
• Developed ReBAC or Fine-Grained Authorization models.

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P13976_3382181

Lyra Tech Group is looking for a Forward Deployed AI Engineer to work directly inside our clients' businesses — rolling up your sleeves to design, build, and deploy AI-powered solutions that create real operational impact. You won't be sitting behind a desk writing specs; you'll be on-site at small and mid-size businesses diagnosing inefficiencies, earning stakeholder trust, and shipping production-grade AI agents, automated workflows, and engineering solutions that change how these organizations run. This is a hands-on, client-facing engineering role built for someone who is as comfortable presenting to a business owner as they are writing Python.

Your work as a Forward Deployment AI Engineer will include several components:  

•    Client Acquisition & Relationship Management: Identify, engage, and secure new business opportunities through
•    Embed directly with clients to discover operational pain points, map workflows, and identify high-ROI opportunities for AI and automation
•    Design and build AI agents using frameworks such as LangChain, LangGraph, AutoGen, or similar — including tool-use, memory, and multi-agent orchestration patterns
•    Develop AI-powered workflows that integrate with clients' existing systems (CRMs, ERPs, cloud platforms, communication tools, etc.)
•    Engineer automation solutions across areas such as document processing, data extraction, reporting, customer communication, and internal operations
•    Own the full delivery lifecycle — from scoping and architecture to build, testing, handoff, and lightweight documentation
•    Train and enable client teams to maintain and iterate on solutions post-deployment
•    Serve as a trusted technical advisor, translating complex AI capabilities into clear business value for non-technical stakeholders
•    Contribute internally by codifying reusable components, playbooks, and delivery templates that scale across the practice

Our ideal Forward Deployment AI Engineer has the following qualifications:

•    Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field
•    Must be legally authorized to work in the United States without employer sponsorship 
•    2+ years of professional experience in software engineering, AI/ML engineering, or a technical consulting role
•    Working proficiency in Python and familiarity with REST APIs and cloud services
•    Hands-on experience building with LLM APIs (OpenAI, Anthropic, Gemini, or similar)
•    Understanding of prompt engineering, RAG (Retrieval-Augmented Generation), and agentic workflow patterns
•    Ability to work independently in ambiguous, fast-moving client environments
•    Strong communication skills — you can explain a vector database to a CFO without losing them
•    Willingness to travel regularly to client sites in the Chicagoland area (estimated 40–60%) 

Preferred
•    Experience with workflow automation platforms (Zapier, Make, n8n, or similar)
•    Familiarity with vector databases (Pinecone, Weaviate, Chroma) and embedding pipelines
•    Exposure to low-code/no-code tools alongside custom-code solutions
•    Prior client-facing, consulting, or forward-deployed engineering experience
•    Experience working with SMB clients across industries such as professional services, healthcare, logistics, or retail

Who Thrives in This Role
You're a builder who gets energy from solving real problems for real people. You're not waiting for perfect requirements — you ask good questions, form a hypothesis, and get something in front of stakeholders fast. You're comfortable being the most technical person in the room for one hour and a junior learner the next. You care about the outcome, not just the code.

The targeted salary for this role is $120,000-$150,000 per year and will operate out of the Naperville office on a hybrid basis.

Lyra Tech Group is an equal opportunity employer. We celebrate diverse perspectives and are committed to building an inclusive team.

Hudson River Trading (HRT) is seeking a Physical Design Engineer with a broad, versatile skillset to join our growing Hardware team. In this role, you will help deliver performance-critical ASICs and advance our physical design methodologies on leading-edge process nodes.

The Hardware team at HRT builds high-performance compute engines using FPGA and ASIC technology to drive low-latency trading decisions on global markets. We create custom solutions across the full spectrum of speed and sophistication, from bespoke circuits to world-class machine learning accelerators.

Responsibilities

• Drive design-for-test (DFT) methodologies and implementation 
• Contribute to physical implementation, from RTL handoff through GDSII on advanced process nodes 
• Partner on floorplanning and physical optimization for high-performance, latency-critical designs
• Close timing across multiple modes and corners while optimizing power, performance, and area (PPA)
• Diagnose and resolve physical design issues such as timing bottlenecks, congestion, and IR/EM violations
• Build, maintain, and improve repeatable, automated physical design flows
• Develop scripts and tooling to improve productivity, robustness, and insight into design behavior
• Collaborate closely with RTL, architecture, and other hardware engineers to influence design decisions early

Qualifications

• Experience working in high-performance ASIC design environments
• Strong fundamentals in digital logic, circuit design, and process technology
• Familiarity with DFT concepts and testing methodologies
• Strong scripting and automation skills (Python, Tcl, shell), including parsing and analyzing tool outputs
• Ability to design robust methodologies, diagnose complex failures, and improve physical design flows
• Applied use of statistics in analyzing timing, power, or design data (preferred)
• Hands-on experience with static timing analysis and timing closure methodologies
• Expertise using industry-standard physical design and signoff tools (e.g., Innovus, PrimeTime)

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

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

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

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

The Research and Development (R&D) team at Hudson River Trading (HRT) builds and maintains the computers, networks, data storage, operating systems, and software that allow our trading strategies and research environment to operate worldwide 24/7. The Storage team within R&D manages hundreds of petabytes of storage to facilitate industry-leading AI/ML-based trading.

We are seeking an experienced Storage Engineer who enjoys being challenged, appreciates an open and collaborative organizational structure, and thrives in a fast-paced environment. In this role, you will manage our existing storage infrastructure and be responsible for the design, automation, and management of future storage solutions to support our large-scale research environment. This is an exciting opportunity to join a small team focused on HPC storage and help set the direction for storage solutions at HRT. You’ll have freedom to research, propose, and test new hardware and software to improve the performance and usability of our research environment.

Responsibilities

• Design, deploy and manage a variety of storage solutions
• Troubleshoot complex storage, OS, and networking issues
• Build tools to improve the performance and monitoring of storage clusters
• Research and experiment with new storage solutions

Qualifications

• Knowledge of distributed file systems used for large-scale cluster computing (Lustre, CephFS, GPFS, etc.) 
• Ability to design a home grown NAS storage solution with redundancy and high availability
• 3+ years of experience in HPC-like environments with large scale storage deployments greater than 1PB
• 3+ years of experience with scale-out enterprise storage solutions such as Isilon, VAST, NetApp, and Pure
• Extensive experience with Linux troubleshooting and NFS
• Strong knowledge of Linux, ZFS, and other Linux filesystems
• Proficient in Python and shell scripting 
• Strong cross-functional communication skills
• Ability to analyze and solve problems quickly in a fast-paced environment
• Exceptional time management skills and the ability to balance independent and collaborative workflows 
• Eager to learn and apply new skills

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.

The Hardware team at Hudson River Trading (HRT) creates high performance compute engines using FPGA and ASIC technology to drive low latency trading decisions on global markets. We build custom solutions across the spectrum of speed and smarts: from bespoke circuits to world-class machine learning accelerators.

These high performance designs require even higher performance verification. We are looking for experienced Design Verification (DV) engineers who are skilled at writing testbenches and building verification environments to exercise complex HDL. Our ideal candidate is not only an ace tester, but a practicing toolsmith. You know the EDA landscape and want to be part of a team actively working to rethink, redesign, and surpass the status quo. For example, members of our team are active maintainers of popular open source projects such as Slang, Verilator, and Cocotb.

FPGA and ASIC verification is part of an innovative, growing team at HRT which is integral to the success of our trading. You can expect to always be challenged by the ever-changing financial markets as you work to ensure correctness and robustness of our critical hardware in an extremely fast-paced, real-time environment. No financial experience is necessary.

Responsibilities

• Creating testbenches and tests for our hardware platform, leveraging a hybrid open-source/proprietary, highly flexible environment
• Writing detailed verification plans
• Quickly root-cause RTL bugs
• Collaborating directly with designers for rapid bringup of new projects and debugging of existing designs
• Managing test suites and continuous integration infrastructure
• Developing and improving open-source and internal tools

Qualifications 

• Superb debug and analytical skills 
• Professional experience (2+ years) in RTL functional verification for FPGA or ASIC
• Experience with code and functional coverage collection/analysis
• Experience with SystemVerilog and industry-standard frameworks such as UVM
• Experience with Python
• Comfortable in a Linux environment
• Familiarity with Verilator and/or Cocotb preferred
• C++ experience is a plus
• A bachelor’s degree in computer science, electrical engineering, or a related field

The estimated base salary range for this position is 175,000 to 250,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is a quantitative trading firm at the forefront of technological innovation. We build and deploy cutting-edge systems within one of the world’s most advanced computing environments to power our global trading operations. Our non-siloed, collaborative coding environment empowers talented engineers to make significant contributions and see their impact daily. At HRT, you'll be challenged to solve the most complex problems in trading alongside many of the brightest minds in the field.

We are seeking highly motivated and skilled Research Engineers who will work very closely with our Algo Developer (Quant Research) trading teams. These roles require exceptional programming fundamentals, a strong user focus, and the ability to thrive in a fast-paced environment with constantly evolving requirements. Multitasking and context switching are inherent aspects of this role, through which you will gain insight into the ideation and execution of some of the world's most sophisticated trading strategies.  

Research Engineers at HRT work on a wide variety of projects. Examples include:

• Designing highly customized quantitative systems that enable Algo Developers to easily express and backtest new predictive signals.
• Building world-class research tooling to speed up Algo Developers’ research iteration.
• Aiding the development and deployment of very large deep learning models for HRT’s live trading.
• Improving HRT’s monetization systems which turn our predictions into profitable trades.
• Evaluating sim vs. live differences to improve the fidelity of our simulations.
• Building systems to monitor and manage live trading.
• Specializing in specific time horizons, from high frequency trading to mid-to-low frequency hedge fund-style strategies.
• Working across a very wide variety of asset classes (from equities to fixed income to options) and regions (from North America to Asia Pacific) – you’ll interact with markets across the world!

Responsibilities

• Design, develop, and maintain robust, performant, and scalable software systems.
• Optimize existing codebases for performance, reliability, and efficiency.
• Debug complex issues across distributed systems in a time-sensitive environment.
• Optimize both the mechanics and ergonomics of Algo Developer research workflows; this requires developing a deep intuition for research methodologies.
• Balance the short term goals of individual trading teams with the longer term goals of HRT’s generalized trading platforms across trading teams. Because we don’t work in a pod environment, REs on different trading teams are expected to share technology and ideas.

Qualifications

• Completed a Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. If you are currently pursuing your Bachelor's degree, please apply to our Campus/New Grad opportunities.
• Previous experience at a top-tier finance or technology company with an excellent track record of rapid advancement and superlative reviews.
• Experience with supporting internal users is preferred; bonus if you have real hands-on experience with quant research and/or ML/Deep Learning platforms.
• Experience with python numerical, ML and data-oriented libraries is a big plus (e.g. pandas, scikit, pytorch, etc.)
• Candidates should be prepared for technical interviews in either Python or C++. While there is no hard language requirement for RE roles, proficiency in one of these languages will be assessed during the interview process.
• Kindness and empathy is a real requirement. No “smart jerks” at HRT. 
• Strong understanding of data structures, algorithms, and design principles.
• Excellent communication skills, both written and verbal.
• HRT ships every day. The ability to thoughtfully, methodically, and reliably deploy new software and features is a critical skill. 
• If you have management experience, that’s always a bonus – but even so, expect to code!

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

For more info about interviewing at HRT, see this blog!

The Hardware team at Hudson River Trading (HRT) creates high performance compute engines using FPGA and ASIC technology to drive low latency trading decisions on global markets. We build custom solutions across the spectrum of speed and smarts: from bespoke circuits to world-class machine learning accelerators.

FPGAs and ASICs are critical pieces of our technology stack. We are looking for talented hardware developers to architect and design complex systems on a highly collaborative global team. In this role, you'll identify efficient ways to perform on-the-fly transformations of market data and implement models with complex data structures in RTL. Deep knowledge of SystemVerilog, FPGA internals and/or ASIC primitives, computer architecture, and vendor tool suites are essential to succeeding in this role. Expertise in networking protocols, CPU design, and/or machine learning accelerators is a big plus. No financial experience is necessary.

Responsibilities

• Collaborate with a cross-functional team to develop and deploy custom FPGA and/or ASIC solutions for a wide range of trading applications
• Investigate new technologies and tools
• Contribute to a nimble hardware development tech stack

Qualifications

• Ability to describe hardware designs at a high level, low level, or anywhere in between
• Brilliant design, optimization, debugging and problem solving skills
• Professional experience (2+ years) in RTL design for FPGA or ASIC
• Expert SystemVerilog development skills with a thorough understanding of the language 
• Expert on low level FPGA or ASIC architectures, with a deep understanding of what makes them "tick"
• Skilled in network communications, processing pipelines, and/or machine learning
• Working knowledge of Python and/or C++
• Comfortable in a Linux environment
• Strong verification experience
• Familiarity with AMD Vivado is a plus
• A bachelor’s degree in computer science, electrical engineering, or a related field

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

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

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

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.

About the Team: The Brand Ad Formats team drives the development of ad formats that help advertisers maximize reach and brand impact. They focus on high-visibility, awareness-driven solutions that create memorable experiences for Reddit users. By delivering guaranteed placements and engaging ad interactions, they support major brand initiatives and help advertisers achieve measurable outcomes.  The team is building fully customizable interactive formats and AI-driven ads that incorporate User-Generated Content (UGC).  Moving forward, we will be doubling down on Video Ads, with the goal of turning Reddit into an industry leader and a ‘must buy’ for advertisers to promote video content.

As a Staff Android Engineer, you will lead the technical strategy to turn Reddit’s Video Ads into a premier offering for brand advertisers.  You will also build and provide technical guidance on new reddit-unique ad formats on Android, ensuring they are high performance, high quality and scalable.

What you’ll do: 

• Video Ads Tech Lead: Partner closely with Product and Design to build a roadmap that will transform our Video Ads format into an industry leader in the space, and drive the technical design and execution of projects that turn the roadmap into reality.
• Technical Strategy: Provide guidance to the team working on building video ads as well as reddit-unique ad formats that scale to millions of users, by establishing Android best practices and providing design reviews.
• Full-Cycle Leadership: Drive the entire development lifecycle—from early-stage discovery and prototyping to testing, data-driven experimentation, and deployment.
• Raise the Bar: Mentor senior engineers across teams in ad formats and establish best practices for design, testing and operational excellence, while also leading by example in understanding and advocating for our customers.

What we expect from you: 

• 8+ years of software engineering experience (Staff level seniority). 
• Android Mastery: (Minimum of 3+ years) Deep expertise in Kotlin and modern Android architectural patterns.  Completed 4+ Android development projects from ideation to deployment in production.
• Prior experience in Ad Tech, building highly interactive/rich-media mobile experiences.
• Product Mindset: Proven track record of delivering user-facing features where UI polish and performance are critical. 
• System Design: Ability to navigate complex, data-intensive environments and build fault-tolerant client-side systems.
• AI: Experience leveraging GenAI tools to increase software engineering productivity.
• Experimentation/Analysis: Fluency working with product metrics, designing and analyzing experiments with exposure to tools like BigQuery, HEX, Firebase, etc.
• Versatility: An openness to work across the stack when necessary and explore innovative approaches (e.g., AI/ML integration).
• Entrepreneurial spirit: You must be self-directed, innovative, and biased towards action. You live to build new things and thrive in ambiguity.
• Excellent communication skills: You must be able to collaborate with teams in a fully remote environment, and discuss complex topics with technical and non-technical audiences.
• An experienced technical leader with a strong track record of mentoring and uplifting team members technical skills and aptitude.
• Strong organizational skills, the ability to prioritize tasks and keep projects on schedule for the team.
• BS degree in Computer Science, similar technical field of study, or equivalent practical experience.

Bonus points:

• Experience working on Video Ads
• Experience working at a scaled peer company
• Experience with Jetpack Compose

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

Who We Are 

At 8th Light, we bring life to the best ideas.

Founded in 2006 and headquartered in Chicago, we are a technology solutions provider that partners with organizations to solve meaningful challenges and drive sustainable growth. From early-stage startups to global enterprises, we work across industries to optimize our clients’ digital products through product strategy innovation, experiential design, AI solutions, and deep engineering expertise. 

Our commitment to quality means we deliver solutions we’re truly proud of, while our curiosity sparks innovation and breakthrough thinking. 8th Lights thrive in an environment that champions continuous education, fueling our growth through mentorship and hands-on work. We foster an open, collaborative culture grounded in honesty that builds trust, and believe true success is measured by the outcomes we create for our clients.

If this kind of work and our kind of people energizes you, you’ve found the right place. 

Who You Are

You’ve shown long-term repeated success on a variety of projects, typically over the course of 10+ years. You are a trusted expert and leader, often called upon to guide ambiguous initiatives and architect scalable solutions. You bring a blend of deep consulting acumen, technical expertise, and product thinking that drives measurable and impactful outcomes. In your previous experience, you have:

• Demonstrated long-term success on high-stakes consulting engagements across multiple language paradigms, stacks, ecosystems, technical environments, and client industries 
• Built high-quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs of the clients you’ve served 
• Led the development and delivery of production-grade software using a variety of languages and frameworks, including but not limited to: Python, Java, JavaScript, TypeScript, React, Ruby, Scala, R, SQL, and Go
• Evaluated and strategically applied AI-assistive development tools to accelerate delivery and improve quality
• A track record of understanding, assessing, and embracing new tooling and trends within the software industry
• Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) 
• Used context-appropriate automated testing to inform software design choices and catch bugs
• Successfully led modernization efforts to align legacy systems with short and long-term business needs
• Remedied architecture-level concerns such as scalability, security, reliability, and performance
• Facilitated alignment and collaboration across technical and non-technical stakeholders to move initiatives forward in the face of ambiguity and complexity while balancing technical considerations with product and user needs
• Provided mentorship and team support at scale, while sharing knowledge and improving team practices 
• Actively sought out and effectively given feedback
• Collaboratively led stakeholders to balance technical considerations with product and user needs

What You’ll Do At 8th Light

As a go-to technologist and strategist within 8th Light, you’ll work with a variety of clients, typically one to two in a year, while continuing to deepen your and our collective domain expertise over the course of your career with us. You’ll be responsible for:

• Rapidly building trust with clients, demonstrating technical expertise and understanding of their domain and objectives 
• Guiding technical direction, solving complex problems, and demonstrating best practices while remaining deeply engaged within the codebase
• Working pragmatically to balance technology choices while delivering high-quality work within deadlines
• Advising clients on architecture, scalability and platform evolution, connecting technical decisions to product and business outcomes
• Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring
• Driving innovation by proactively surfacing new technical approaches and product solutions
• Leading or initiating formal feedback conversations with teams and clients via retrospectives
• Clearly articulating and documenting outcomes and driving forward action items
• Contributing to the health of your team and 8th Light’s culture by modeling our Values
• Designing and managing high-level technical roadmaps for large engagements
• Building your network and maintaining relationships with clients and other industry leaders within your domain
• Coaching client engineering teams, transferring knowledge and leveling up practices
• Influencing client CTOs and executive decisions. Planning and execute technical work that involves stakeholders outside of project boundaries such as across a client's technical organization
• Participating in account planning; opportunity identification.
• Facilitating retrospectives, strategy sessions, and technical deep-dives to improve team and project outcomes
• Identifying, mitigating, and resolving blockers to team progress
• Contributing to 8th Light by serving as a mentor, leading or designing workshops internally or for clients, representing 8th Light in the tech community, or supporting our hiring processes
• Demonstrating leadership in scalable system design, modular architecture, and platform- or product-oriented development.
• Bringing depth in testing strategies, observability, fault tolerance, and secure engineering practices.
• Applying architectural patterns to evaluate tradeoffs and drive clear, documented design rationale.

Strongly Preferred Skills

We work across many areas, and encourage anyone with the experience listed above to apply. We would particularly like to encourage applicants with experience in the following areas:

• Delivering and advising on enterprise-grade AI systems, including RAG pipelines, vector search, and agentic frameworks (e.g., LangChain, LlamaIndex, Crew AI, AutoGen, n8n), ensuring scalable, production-ready solutions that empower developers and align with business outcomes.
• DevSecOps & DevOps
• MLOps
• Infrastructure as Code
• Data Engineering: including platforms like Databricks for data processing and analytics.

Building a truly diverse, equitable, and inclusive workplace is an ongoing journey, and we’re excited to keep learning and growing together. We have a proud tradition of hiring talented colleagues with real-world career experiences. 

How You’ll be Supported

At 8th Light, we believe our people are our greatest asset. Their growth, well-being, and success shape our future. 

Our wellness package is designed with the Whole YOU in mind and includes:

• A robust L&D program featuring unlimited access to thousands of books, courses, and expert-led training on the O'Reilly learning platform.
• Annual financial stipend and time allotment for learning & development
• Coworking support for our global team
• Flexible PTO 
• 12 weeks of new parent leave available for eligible employees

See our full list of Benefits. 

A Note on Compensation

At 8th Light, we are committed to a compensation philosophy that is transparent, fair, and helps us attract and retain top talent in alignment with our company’s strategic growth goals and clients’ needs.

We benchmark our salaries using Geographic Structures to establish competitive pay ranges within the regions where 8th Lights live. Our pay ranges for our Principal Engineer position within our four US structures are as follows:

• Structure 1 (Tampa Metro, Ohio, Tennessee, Wisconsin)
• RANGE: $151,535-$189,418 USD
• Structure 2 (Chicago Metro, Miami Metro, Philadelphia Metro, Raleigh Metro ) 
• RANGE: $159,240-$199,050 USD
• Structure 3 (Austin Metro, Boston Metro , DC Metro)
• RANGE: $169,513-$211,892 USD
• Structure 4 (Los Angeles, Seattle, New York City)
• RANGE: $176,705- $220,881 USD

Reach out to recruiting@8thlight.com for more relevant information pertaining to your local market.

8th Light Hubs and Geographies

As a remote-first company, 8th Light's culture is rooted in strong connections that extend across our teams, regions, and beyond client work. We are a distributed team across the United States, Canada, and the United Kingdom, with hubs in Chicago, London, Los Angeles, New York, and Seattle. 

If you are hired into a hub, you will be a part of a team with regular rituals around co-working and community building. For team members outside of those cities, we offer access to coworking spaces to foster continued collaboration and connection across our global team. 

In most cases, our consulting engagements do not require travel.

We hope to see you apply! 

_#LI-Remote

Senior Software Engineer - [Chicago | Atlanta | Boston]

Who We Are 

At 8th Light, we bring life to the best ideas.

Founded in 2006 and headquartered in Chicago, we are a technology solutions provider that partners with organizations to solve meaningful challenges and drive sustainable growth. From early-stage startups to global enterprises, we work across industries to optimize our clients’ digital products through product strategy innovation, experiential design, AI solutions, and deep engineering expertise. 

Our commitment to quality means we deliver solutions we’re truly proud of, while our curiosity sparks innovation and breakthrough thinking. 8th Lights thrive in an environment that champions continuous education, fueling our growth through mentorship and hands-on work. We foster an open and collaborative culture grounded in honesty that builds trust, and believe true success is measured by the outcomes we create for our clients.

If this kind of work and our kind of people energizes you, you’ve found the right place. 

Who You Are

You’ve shown repeated success on a variety of projects, typically over the course of 4+ years. You have a broad range of expertise that allows you to make an immediate impact on projects. In your previous experience, you have:

• Successfully contributed to high-stakes consulting engagements from discovery to production 
• Written production-quality code using a variety of languages and frameworks, that include: Python, Java, JavaScript, TypeScript, React, Ruby, Scala, R, SQL, and Go
• Built high-quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs of the clients you’ve served 
• Leveraged AI-assistive development tools for tasks like scaffolding, refactoring, debugging, test generation, and documentation, where appropriate
• Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) 
• Used context-appropriate automated testing to inform software design choices and catch bugs
• Debugged and refactored pre-existing code to incrementally improve it
• Collaborated with teams using Git, MacOS/Linux, and CI/CD
• Remedied architecture-level concerns such as scalability, security, reliability, and performance
• Contributed to forums that encourage idea sharing, collaboration, and problem solving
• Made thoughtful recommendations and set direction in the face of ambiguity
• Mentored and shared knowledge with colleagues
• Actively sought out and effectively given feedback
• Communicated empathically with stakeholders and colleagues
• Influenced stakeholders to balance technical considerations with product and user needs

What You’ll Do At 8th Light

As a senior technologist on projects, you’ll work with a variety of clients, typically one to two in a year, through a variety of technologies and frameworks over the course of your career with us. You’ll work with colleagues who share your passion for technology solutions. You’ll invest time developing your skills and sharing what you know. You’ll be responsible for:

• Making immediate contributions to projects, rapidly building trust with your clients and team
• Working pragmatically to balance technology choices while delivering high-quality work within deadlines
• Contributing to architecture and software design discussions
• Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring
• Generating new potential solutions to challenges (technical and non-technical) in partnership with team members and clients
• Contributing to formal feedback conversations with teams and clients via retrospectives
• Clearly articulating and documenting outcomes and driving forward action items
• Regular syncs with your delivery team to provide status updates, and for identifying and evaluating risks and presenting potential solutions
• Identifying, mitigating, and resolving blockers to team progress
• Pursuing opportunities to further your skills to grow your career and keep pace with the rapid changes within the technology industry 
• Contributing to your team culture by building connections with your fellow 8th Lights, showing up on camera, and leveraging collaboration opportunities, such as coworking spaces and local team gatherings, where appropriate
• Confidently predicting the next World Series Win for the Chicago White Sox. 

Strongly Preferred Skills

We work across many areas, and encourage anyone with the experience listed above to apply. We would particularly like to encourage applicants with experience in the following areas:

• MLOps: including tools like LangChain for application development and managing the ML lifecycle
• Data Engineering: including platforms like Databricks for data processing and analytics
• DevSecOps & DevOps
• Infrastructure as Code

Building a truly diverse, equitable, and inclusive workplace is an ongoing journey, and we’re excited to keep learning and growing together. We have a proud tradition of hiring talented colleagues with real-world career experiences. 

How You’ll be Supported

At 8th Light, we believe our people are our greatest asset. Their growth, well-being, and success shape our future. 

Our wellness package is designed with the Whole YOU in mind and includes:

• A robust L&D program featuring unlimited access to thousands of books, courses, and expert-led training on the O'Reilly learning platform
• Coworking support for our global team
• Flexible PTO 
• 12 weeks of new parent leave available for eligible employees
• Transparent semi-annual promotion panel

See our full list of Benefits. 

A Note on Compensation

At 8th Light, we are committed to a compensation philosophy that is transparent, fair, and helps us attract and retain top talent in alignment with our company’s strategic growth goals and clients’ needs.

We benchmark our salaries using Geographic Structures to establish competitive pay ranges within the regions where 8th Lights live. Our pay ranges for our Senior Engineer position within Chicago, Illinois is: $104,160-$130,200 USD. 

Reach out to recruiting@8thlight.com for more relevant information pertaining to your local market.

8th Light Hubs and Geographies

As a remote-first company, 8th Light's culture is rooted in strong connections that extend across our teams, regions, and beyond client work. We are a distributed team across the United States, Canada, and the United Kingdom, with hubs in Chicago, London, Los Angeles, New York, and Seattle. 

If you are hired into a hub, you will be a part of a team with regular rituals around co-working and community building. For team members outside of those cities, we offer access to coworking spaces to foster continued collaboration and connection across our global team. 

In most cases, our consulting engagements do not require travel.

We hope to see you apply! 

_#LI-Remote

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.

As an AI Engineer at DRW, you will be an integral member of a collaborative multi-asset trading team. You’ll work on high-impact machine learning (ML) and artificial intelligence (AI) initiatives that are central to our business strategy. In this role, you will build critical infrastructure and tooling that leverages AI and ML technology to enhance productivity, efficiency, and discover innovative paths to challenging business and technology problems. Surrounded by cutting-edge technology and experienced trading teams, you will have the opportunity to tackle fascinating new projects while becoming a subject-matter expert in a critical and innovative role.

Key Responsibilities:

• Drive end-to-end development of AI infrastructure and AI driven applications: from initial proof-of-concept to production deployment and ongoing maintenance.
• Collaborate with technologists, traders, quantitative researchers, and data scientists to identify high-impact opportunities for integrating AI and machine learning into technology and business use cases.
• Implement automated systems for continuous training, validation, and monitoring of models, minimizing downtime and ensuring reliability.
• Provide technical leadership in selecting, integrating, and optimizing AI and ML frameworks, libraries, and tools across diverse hardware and software environments.
• Create and maintain feature pipelines, feature stores, and model stores.
• Develop frameworks to enable scalable, reproducible research.
• Proactively troubleshoot performance bottlenecks, conduct root-cause analyses, and implement solutions to optimize GPU or CPU resource usage.

Qualifications:

• Bachelor’s or advanced degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• 3+ years of experience working with machine learning and artificial intelligence technology.
• Strong understanding of core machine learning and artificial intelligence concepts.
• Excellent programming skills in Python.
• Demonstrated experience in building, validating, deploying, monitoring, and updating production ML and AI models.
• Hands-on experience with MLOps and AIOps infrastructure and tooling.
• Proficient in problem-solving and analytical reasoning.
• Exceptional communication and collaboration skills.
• Experience with ML frameworks such as TensorFlow, PyTorch, TensorRT, or ONNX.
• Experience with Large Language Models, including RAG and fine-tuning techniques.
• Familiarity with compute infrastructure necessary to support operating AI and ML technology.

The annual base salary range for this position is $175,000 to $300,000, 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-BL1

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.

Cumberland Systematic is a multi-asset trading team focused on mid and high-frequency fully systematic strategies in the delta one space. We trade 24/7 globally with our team located primarily in Chicago and London.

We are looking for a Software Engineer to join our team. You will work with other software engineers to design and develop the full stack needed to enable a global trading operation with high availability requirements. You will be expected to design and develop integrations with data vendors, blockchain infrastructure, data management solutions, and libraries for managing and analyzing data. The team’s existing systems are written in Python and C++.

Candidates should have strong initiative and proven experience independently driving projects to completion. We work from high-level requirements and engineers are expected to gain an intimate understanding of the business and work directly with quantitative researchers on a daily basis.

Responsibilities:

• Design, develop, test, document, and maintain software and infrastructure needed for quantitative financial research
• Accelerate the research lifecycle from data engineering to feature generation and analysis
• Integrate with diverse data sources such as blockchains, exchanges, and data vendors
• Test at the unit, functional, and integration levels
• Work within in a small team as well as independently with a strong user focus
• Provide on-call support as needed

To qualify for this role, you must have:

• Python experience gained through professional experience
• Built complex systems in modern Python that are maintainable and safely refactorable
• Hands-on experience managing large, evolving timeseries data
• A working knowledge of type safety and type systems
• Strong verbal and written communication skills
• Strong internal motivation and a continual desire to learn

Bonus points if you have:

• Contributions to open-source crypto projects
• Production experience running full or archive blockchain nodes at scale
• Collaborated with quantitative researchers
• A working knowledge of high-level machine learning concepts and lifecycle
• Experience with functional programming and immutable design principles
• Practical knowledge of major blockchain types and clients

The annual base salary range for this position is $175,000 to $225,000 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-BL1

job purpose: The Senior Analytics Engineer will be a foundational developer and force multiplier for fairlife’s ambition to create a best‑in‑class Decision Intelligence (DI) ecosystem. This role will own the development of production‑grade data products (domain models, governed metrics, semantic layers, and self‑serve insights) while also helping the organization adopt and scale AI-enabled decision workflows (agents/copilots) through guardrails, training, enablement, and measurable adoption.

This role is accountable not only for delivering decision intelligence, but also for increasing decision velocity and trust across Finance, HR, Demand, and Site Operations by building durable assets and by coaching others in modern analytics engineering and AI practices.

responsibilities:

• Build and own production-grade, domain-oriented data products in Microsoft Fabric (Lakehouse/Delta) with documented logic, monitoring, and clear SLAs/ownership.
• Develop governed semantic models and a scalable KPI/metric system that enables consistent, trusted self-serve decision intelligence across Finance, HR, Demand, and Site Operations.
• Implement CI/CD, automated testing, and performance optimization for pipelines, models, and DAX/SQL to ensure reliability and speed at scale.
• Deliver decision-ready insights (“so what / now what”) through dashboards, alerts, and embedded workflows that accelerate decision velocity and improve operational outcomes.
• Support design and development of agentic AI solutions that automate multi-step decision workflows with governed data, guardrails, auditability, human-in-the-loop controls, and evaluation metrics.
• Lead AI and decision intelligence enablement: training, playbooks, office hours, and adoption programs; continuously measure engagement, value realization, and iterate based on feedback.
• Serve as a DI force multiplier by coaching teammates on analytics engineering, semantic modeling, and AI delivery best practices; create reusable templates and standards (“build once, use often”)
• Partner cross-functionally to align on priorities, definitions, and tradeoffs; operate with strong ownership, speed, and accountability

skills/qualifications required:

• 6+ years delivering analytics engineering or equivalent experience building production-grade data products (pipelines + semantic models + governed metrics).
• Bachelors in a technical field, masters preferred.
• Experience delivering AI-enabled analytics solutions (agents/copilots/workflow automation) with evaluation/monitoring and safe deployment patterns (human-in-the-loop, auditability).
• Demonstrated experience with CI/CD and DevOps for analytics (Git, Azure DevOps pipelines, automated testing, release processes).
• Expert SQL (T‑SQL + SparkSQL) and strong semantic modeling skills (Power BI / Tabular), including performance tuning, star schema, and metric governance.
• (Preferred) Python for orchestration, automation, testing, or ML/AI evaluation harnesses.
• Proven ability to build stakeholder trust and drive adoption through clear communication, documentation, and enablement (not just delivery).
• Ability to build training + enablement programs and measure adoption/value.
• Experience with manufacturing/operations analytics (OEE, downtime classification, yield, throughput, scrap, quality, maintenance), or adjacent industries.
• Demonstrated ability to use modern development accelerators (e.g., coding assistants/agents) responsibly to increase throughput while maintaining quality and governance.
  
  

how fairlife nourishes you:

At fairlife, we believe in better — and that includes how we support our people. We offer a comprehensive suite of benefits and wellbeing resources designed to support you physically, emotionally, socially, and financially, both in and out of work.

• Comprehensive medical, dental, and vision coverage, effective day one!
• Supplemental health plans (hospital indemnity, accident, and critical illness insurance)
• Paid Time Off to recharge and support work-life balance
• Paid parental leave & adoption assistance (up to $10,000)
• Parental support & family care benefits, including childcare resources and lactation support
• 401(k) to support retirement planning with up to 9% in employer match
• Wellness reimbursement (up to $500 for qualified wellbeing expenses)
• Employee Assistance Program (EAP) for emotional wellbeing and work-life support
• Company-paid life insurance and short-term disability
• Employer HSA funding (for HDHP participants)
• Tuition reimbursement (up to $10,000) and student loan repayment ($200/month)
• Learning & development programs to unlock your full potential
• Rewards & recognition, matching gifts, free product, and Business Resource Groups

fairlife’s nour!sh program is designed to meet you where you are — supporting your individual wellbeing journey while enabling you to do your best work every day.

position location: Chicago, IL

reports to: Senior Manager, Decision Intelligence

travel requirements: 10-15%

exempt/nonexempt: Exempt

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.

Overview:

You’ll build the infrastructure and workflows that power systematic and semi-systematic trading at scale. Sitting at the intersection of research and engineering, this role enables large-scale experimentation, high-fidelity backtesting, and data-driven strategy development. 

You’ll partner closely with traders and researchers to turn ideas into measurable experiments—designing robust backtests, iterating quickly, and uncovering signal in complex datasets. The systems you build will be critical to exploring new trading strategies, refining execution logic, and supporting advanced techniques including machine learning. 

This is a highly experimental environment where progress depends on speed, correctness, and the ability to ask—and answer—the right questions.

Technology at Optiver:

At Optiver we pride ourselves on being real engineers, not just coders. Our engineers work closely with traders to identify the business problems we face and determine how they should be solved. We apply a disciplined and scientific approach. We engineer simple, well-architected solutions that meet the dynamic needs of our traders. Our passion is to solve problems which really matter to the business, and we take pride in the quality of our solutions.

What you’ll do:

• Build and scale high-performance backtesting and simulation infrastructure 
• Design workflows that enable rapid experimentation and hypothesis testing  
• Translate trading ideas into testable models, signals, and research pipelines  
• Ensure realism and correctness in simulations (e.g., market microstructure, latency, data quality)  
• Develop tools to analyze performance, explain behavior, and guide iteration  
• Improve the speed, reliability, and usability of the research platform  
• Own the full lifecycle from idea → backtest → analysis → production  

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 complex, large-scale engineering projects
• Strong computer science fundamentals and sound engineering judgment
• Ability to balance innovative thinking with practical execution
• Proficiency in systems-level programming (e.g., C, C++, Linux)
• A mindset of continuous improvement in a fast-paced environment
• Willingness to set technical direction, uphold engineering standards, and take ownership of outcomes 

Who we are:

Optiver is a tech-driven trading firm and leading global market maker. As one of the oldest market making institutions, we are a trusted partner of 70+ exchanges across the globe. Our mission is to constantly improve the market by injecting liquidity, providing accurate pricing, increasing transparency and acting as a stabilising force no matter the market conditions. With a focus on continuous improvement, we participate in the safeguarding of healthy and efficient markets for everyone who participates.

Optiver Chicago’s culture parallels the energetic city we’re immersed in. Home to the Chicago Board of Trade, Chicago Board Options Exchange, and Chicago Mercantile Exchange, Chicago has established itself as the trading capital of the US. Active on leading US exchanges, Optiver’s Chicago office trades a wide range of products from listed derivatives to cash equities, ETFs, bonds and foreign exchange.

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 is looking to add FPGA Engineers to its Automated Trading Systems (ATS) team. ATS solve a variety of problems with high degrees of difficulty: managing scarce bandwidth resources, responding to market events with extremely low latency, and automatically pricing diverse sets of financial instruments with near-zero error tolerance. We build systems with little room for failure which add to the stability of the market, not detract from it. These systems must be simple, flexible, and well-architected so they can quickly be changed to meet the dynamic needs of our traders. We already have a team of great engineers, but we need more.

Optiver Hardware Engineers:

• Accelerate network infrastructure and trading system components with high speed hardware designs.
• Research new low-latency techniques and identify opportunities for integration with our trading system.
• Work in a multidisciplinary team of traders, software developers, and infrastructure engineers.
• Leverage the best hardware available, ensuring our FPGAs can interface with cutting edge server hardware.

What you'll need:

• A Bachelor’s degree in CE, EE, CS, or related technical field
• Experience designing FPGAs in VHDL or Verilog. We use VHDL.
• Experience coding in VHDL, Verilog, SystemVerilog, C, or C++
• Experience with digital simulators and self-checking test benches a plus
• Ability to work closely with software developers to rapidly deliver integrated systems.

Who we are:

Optiver is a tech-driven trading firm and leading global market maker. As one of the oldest market making institutions, we are a trusted partner of 70+ exchanges across the globe. Our mission is to constantly improve the market by injecting liquidity, providing accurate pricing, increasing transparency and acting as a stabilising force no matter the market conditions. With a focus on continuous improvement, we participate in the safeguarding of healthy and efficient markets for everyone who participates.

Based in ‘The Domain’ neighborhood, Optiver’s Austin office serves as the firm’s innovation nucleus, with a strong focus on quantitative research, software and hardware engineering initiatives. With tech innovation an integral part of our core business, the booming city proved an ideal backdrop for our heavy investment into machine learning, research infrastructure and big data computing. What’s more, with world-class music, food and art scenes, as well as countless scenic outdoor activities, the quality of life for Austin Optiverians is second to none.

WHAT YOU'LL DO

As our customer base continues to grow with the excitement around BrazeAI, we’re expanding our team! Join our Forward-Deployed Data Scientist group of creative technical experts who partner with customers to ensure their success. In this role, you will:

• Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
• Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
• Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
• Contribute to shaping BrazeAI product strategy and roadmap through customer-facing insights and technical expertise
• Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success

WHO YOU ARE

• Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master’s or PhD in a relevant technical discipline preferred
• Experience: 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred
• Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
• Engineering best practices: You write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions
• Nice-to-have skills: Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL, and pipeline optimization, or reinforcement learning algorithms
• Customer collaborator: Comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value
• Entrepreneurial problem-solver: You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions
• Continuous learner: You stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow
• Clear communicator: Able to explain complex technical ideas persuasively to both technical and non-technical audiences

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $98,000-$164,000/year, with an expected On Target Earnings (OTE) between $109,000-$183,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

#LI-Hybrid

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time.

Responsibilities:
As a Senior Software Engineer on our Product Consumer team, you’ll be designing and implementing technical solutions to business problems. You’ll collaborate with other engineers to build the best systems for the problem at hand, learning from Lead Engineers and Architects, while mentoring junior developers. Most problems have multiple solutions and we need your expertise to figure out which one is best and drive to completion. In addition, you will work with Product Management, Analytics, and Operations to deliver business value.  

Our most successful Senior Engineers are able to tackle a variety of tasks from designing microservices, operational issues, production debugging, risk mitigation and management, and the ability to pair with others outside of your immediate team in order to accomplish any task.  

Requirements:

• 4+ years of experience with any programming language, we welcome engineers from various technical backgrounds
• Proficiency in one or more object-oriented programming languages.
• The ability to solve problems in more than one language, and know exactly why one of them is better
• Expertise with building software features, enterprise architecture, and API integration to facilitate first in class software.
• Project management skills, specifically the ability to oversee projects end-to-end, estimate work, and break up problems into deliverable parts 
• Deployed multiple web applications from a full-stack perspective.
• Experience collaborating with product managers to plan and scope products iteratively.
• Comfort incorporating AI-assisted development tools into day-to-day engineering workflows (coding, testing, debugging, or documentation)
• A Bachelor’s degree in Computer Science, Engineering, or equivalent experience

Nice to have:

• Deployed software using Go, Ruby, Rails, React or PostgreSQL
• Experience in the Finance domain is a nice-to-have

Compensation:

This position includes various levels within our career ladder. The actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the ranges shown. 

Budgeted annual salary ranges:

Senior Software Engineer I: $98,000-$130,000
Senior Software Engineer II: $108,000 to $140,000

Additional compensation for this role may include a bonus. All full-time employees are eligible to participate in Company benefits, described in more detail here.

WHAT YOU'LL DO

• Use robust software engineering best practices to design, implement, and improve modular components in a cutting-edge product
• Collaborate closely with other teams (e.g., UI/UX, Product, Research, Implementation) to create scalable and dynamic Braze product components 
• Apply your extensive knowledge of TypeScript, JavaScript and their ecosystem to build a clean, reliable, and extensible user interface for the web
• Influence Braze’s product strategy and roadmap
• Support teams implementing Braze for customers to ensure their success
• Tech stack:
  • Web: TypeScript, JavaScript, Vue.js (v3) and its ecosystem (VueCLI with webpack), Node.js, Strapi, PostgreSQL, HTML5, CSS3
  • Data Science/ML Pipeline: Python (Pandas, TF, Fast API, Great Expectations), SQL (not required for this role although some experience with Python would be helpful)
  • We write well-tested, type-hinted, documented, modular code and use pre-commit hooks, CI/CD, and issue tracking for development

WHO YOU ARE

• Exceptional coder: you write clean code and you care about good design and development best practices
• Tinkerer: you regularly explore and learn new technologies and methods
• Problem solver: you recognize patterns, synthesize information and come up with creative, simple, and practical solutions
• Entrepreneurial: you proactively identify opportunities and risks, work around obstacles, and always seek creative ways to improve processes and outcomes
• Structured and organized: you can structure a plan, align stakeholders, and see it through to execution
• Clear communicator: you are able to express yourself clearly and persuasively, both in writing and speech

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $129,600 and $232,200/year with an expected On Target Earnings (OTE) between $144,000 and $258,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

As a Software Engineering Intern at Aquatic, you will join a fast-moving team building high-performance, distributed systems that power our research and trading infrastructure. You’ll work closely with experienced engineers and quants to design tools, improve system reliability, and optimize our platform for low-latency, high-throughput data processing. This is a hands-on, impactful role—your work will directly influence live systems and research workflows.

Requirements:

• Active student pursuing a BS, MS, or PhD in mathematics, statistics, machine learning, physics, computer science, or other scientific disciplines with an expected graduation date between Fall 2027 and Spring 2028.
• Solid programming skills in Python and/or C++
• Strong understanding of algorithms, systems, and computer architecture
• Curiosity about how things work, and a desire to build systems that do things better
• Ability to thrive in a collaborative, fast-paced environment
• Learn software design and testing techniques, such as Refactoring and Test Driven Development

Candidate qualities: 

• Strong bias for action
• Driven by accountability and internal urgency
• Desire to independently seek best solutions
• Preference for working in a team that focuses on delivering results aligned with Research goals
• Comfortable providing and receiving actionable feedback in a collaborative team setting
• Motivated by an ambitious environment and driven colleagues 

Company Overview

We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE—where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value—supporting the office of the CFO to drive end-to-end value creation.

If you crave challenging work and are looking to grow, come solve complex issues alongside 1,600+ finance & technology experts in a supportive, collaborative environment.

Backed by premier private equity firms and headquartered in New York with 11 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark. 

Data & Analytics

Accordion's Data & Analytics (D&A) team offers cutting-edge, intelligent solutions to a global clientele, leveraging a blend of domain knowledge, sophisticated technology tools, and deep analytics capabilities to tackle complex business challenges.

We partner with Private Equity clients and their Portfolio Companies across diverse sectors, including Retail, CPG, Healthcare, Media & Entertainment, Technology, and Logistics.

This role can be based in any of our US office locations and is a hybrid role with the flexibility to work remotely 2 days a week. Ideal candidates should be local to the desired location.

This position is not eligible for immigration sponsorship.

Accordion Intelligence Lab

The AI Lab is composed of leading software and AI engineers, designing agentic-AI solutions ahead of the market. Our group builds and operationalizes the AI systems that power Accordion’s consulting capabilities, from agentic architectures and RAG pipelines to evaluation frameworks and production observability.

The Lab works closely with practice leaders to translate research findings into scalable, reliable tools that advance Accordion’s AI-driven value creation work for PE clients and their portfolio companies.

About the Role

We’re looking for experienced AI Engineers to join new AI-augmented delivery pods: purpose-built teams that combine AI engineering, data science, and product management to transform how PE-backed companies run finance and operations.

In this role, you will design and build the AI systems that power client engagements: agentic workflows, RAG pipelines, evaluation frameworks, and production-grade tools that operate in real PE environments. You’ll work directly with clients and cross-functional pod teammates from day one, and you will be expected to ship fast, defend your decisions, and continuously raise the bar on what AI-assisted delivery looks like.

This is a highly technical, hands-on role. We move at sprint pace—not quarter pace. If you want to move quickly, own outcomes end-to-end, and build things that matter in finance, this is the role.

What You’ll Do

• Design and build multi-agent systems and RAG pipelines that automate financial workflows for PE-backed portfolio companies
• Own the full stack from prompt engineering and tool design through deployment and monitoring
• Practice eval-driven development: define how success is measured before you build
• Translate ambiguous client problems into engineering requirements and deliver results in compressed timeframes
• Present and defend architectural decisions to technical and non-technical audiences—including CFOs and PE operators
• Build observability and evaluation infrastructure to continuously improve production AI system quality
• Travel to client site as needed

Success in the First 6 Months

• Work with like-mined AI engineers to ship at least one end-to-end agentic solution in a client engagement, from scoping through production
• Establish evaluation infrastructure for your pod’s systems so that quality is measurable and regressions are caught early
• Demonstrate materially faster delivery cycles because of how you use AI tools—not just that you use them
• Build a reputation within the pod and with clients as someone who can be handed a hard problem and trusted to return a working, defensible solution

What You’ll Bring

• AI tools are woven into how you work daily—you are materially faster because of it, and you can demonstrate that concretely
• 3–8+ years of software engineering experience with a notable portion in AI/ML systems, agent development, or applied LLM engineering
• Hands-on experience building production LLM applications: RAG systems, agentic workflows, tool use, multi-agent orchestration
• Proficiency in Python; experience with LangChain, LangGraph, AutoGen, DSPy, or equivalent orchestration frameworks
• Strong grasp of evaluation methodologies: designing evals, catching regressions, assessing LLM output quality
• Solid data engineering fundamentals: ETL design, SQL/NoSQL, vector databases, streaming or batch pipelines

Nice to Have

• Open-source contributions in the AI/ML space
• Finance or PE domain experience: FP&A, GL data, ERP systems (NetSuite, SAP), or financial workflow automation
• Experience building tools for reuse across multiple clients or in multi-tenant architectures
• Prior experience in consulting, professional services, or client-facing delivery environments

This is a high-velocity environment. Sprints are short, client expectations are high, and we don’t slow down between engagements. If you’ve spent time in large enterprise engineering organizations where velocity is constrained by process, this will feel different.

The people who thrive here are those who find the pace energizing, not exhausting. They ship fast because they’ve internalized good judgment—not because they cut corners. They use AI tools to multiply their output, communicate clearly with non-technical stakeholders, and course-correct quickly when something isn’t working.

The annual salary for this role ranges from: $144,500 to $230,000 USD + significant bonus + benefits. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.

Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.  We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law.

Please note that as per Accordion policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our inclusive diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Accordion will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.

#LI-BS1

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time.

About the role:

We live and breathe data at Enova - and this role sits at the center of it. As a Senior Business Intelligence Engineer, you will design, develop, and maintain robust reporting solutions and analytic applications that power decision-making across Finance, Marketing, Operations, Compliance, and more.

You will partner directly with business owners to gather requirements, translate them into scalable BI solutions, and take ownership of the full project lifecycle – from scoping through delivery and ongoing support. You will also play a key role in advancing our use of AI across the BI and data development workflow, leveraging modern tools to accelerate insight delivery and drive strategic impact.

Responsibilities:

• Partner with stakeholders across all our PnLs, Marketing, Operations, Accounting, and Finance to understand data needs and deliver actionable reporting solutions
• Lead technical initiatives end-to-end from architecting the solution to collaborating with peers on execution
• Design, implement, and maintain complex, multi-layered SQL and Python processes for reporting and analytics
• Architect and enhance ETL/ELT pipelines using Astronomer Airflow and other modern orchestration tools
• Operates as a senior member of the team: leads projects end-to-end from scoping and design through delivery and support
• Build, optimize, and support data marts and data warehouse solutions using Snowflake
• Develop and maintain dashboards and reports in Strategy(MSTR) and/or comparable BI tools
• Proactively identify and implement AI use cases across various business units, leveraging Enova’s AI tech stack(Claude, AWS Bedrock, Gemini, and more) to drive adoption
• Advise on best practices, innovative designs, and emerging BI technologies

Requirements:

Experience designing, developing, and working with data marts is a must.

• Expert-level SQL and database skills - writing high-quality, performant queries is a core part of this role
• 5-7+ years of experience with relational databases and cloud data warehouses (Snowflake, Databricks, BigQuery, or AWS Redshift)
• Strong grasp of data warehousing and data mart concepts, including dimensional modeling (star schema, slowly changing dimensions, etc.)
• 4+ years designing and implementing ETL/ELT pipelines; hands-on experience with Astronomer (Apache Airflow) or similar orchestration tools
• 4+ years working with enterprise BI and visualization tools – MicroStrategy, Tableau, Looker, PowerBI, or equivalent
• Proficiency in Python for data transformation, pipeline automation, and analytics
• Experience leveraging AI tools in day-to-day work - coding assistants, agents, and identifying new use cases (e.g., Claude, Gemini, AWS Bedrock) - with a curiosity to push adoption further
• Strong business acumen – ability to understand domain context and translate business needs into technical data solutions
• Proven experience working directly with senior management and cross-functional stakeholders to gather requirements and define success

Compensation:

This position includes various levels within our career ladder. The actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the ranges shown. 

Budgeted annual salary ranges:

Senior BI Engineer I: $72,000-105,000
Senior BI Engineer II: $80,000-115,000

Additional compensation for this role may include a bonus. All full-time employees are eligible to participate in Company benefits, described in more detail here.

We are deploying machine learning directly onto custom hardware – and we want you to help drive it from the ground up. This is an initiative where you'll have the rare opportunity to architect solutions from scratch, influence technical research direction, and see your work drive real impact in one of the most demanding computing environments in the world.

We build the hardware, the software, and the infrastructure, so when you hit a bottleneck, you can fix it - there's no vendor to wait on and no abstraction layer you're not allowed to touch. If you've ever wanted to push the boundaries of what's computationally possible, this role is for you. We're looking for researchers and experienced engineers from any background. Trading experience is a bonus, not a prerequisite.

Your Core Responsibilities

• Architect and co-design ML models with traders, quant researchers, and software engineers, treating hardware constraints (latency budgets, resource limits, numerical precision) as first-class design inputs
• Shape our custom hardware roadmap by translating ML model requirements into concrete architectural decisions
• Work hands-on with hardware engineers to implement, verify, and deploy ML inference solutions from proof-of-concept through production
• Track and evaluate emerging research in neural architecture search, machine learning systems and quantization methods, and determine what translates to measurable improvements in our systems

Your Skills and Experience

• Solid understanding of hardware constraints and design trade-offs (e.g., pipelining, resource utilization, fixed-point arithmetic) that shape how ML models can be efficiently mapped onto FPGAs or custom ASICs
• Experience with hardware fundamentals, whether through VHDL/SystemVerilog development, HLS tools, or ML-to-hardware frameworks like hls4ml, FINN, or Vitis AI
• Understanding of machine learning fundamentals – neural network architectures, inference optimization, quantization techniques, ML frameworks such as PyTorch/TensorFlow
• Proficiency in Python, C++, or similar languages for tooling, testing, and simulation
• Strong communication skills and ability to work collaboratively across disciplines with both technical and non-technical teams

Nice to Have

• Exposure to ML compiler infrastructure such as MLIR, TVM, XLA, or similar tools for lowering and optimizing models for hardware targets
• Background in latency-sensitive or resource-constrained systems including high-frequency trading, particle physics data acquisition, real-time signal processing, or similar domains
• Familiarity with functional verification methodologies (for example SystemVerilog, UVM, Cocotb)
• Advanced degree (MS or PhD) in EE, CS, Physics, or related field, or equivalent depth through industry or research experience

About the role

Chime Engineering is growing rapidly as we scale to meet the financial needs of our members—and that growth depends on strong, secure, and efficient engineering foundations. We’re hiring a Senior Python Core Engineer- to join the Languages & Frameworks team within Engineering Services, with a mission to standardize and strengthen Chime’s Python ecosystem.

Python is increasingly foundational to our data engineering, analytics, machine learning, and emerging AI initiatives. As Python adoption expands, we need clear ownership and stewardship over Python releases, packaging, base images, and shared libraries to reduce security risk, eliminate duplicated effort, add guardrails against AI generated code, and make builds and runtimes more reliable and reproducible.

In this role, you’ll be the technical leader for Python foundations across the company responsible for owning the lifecycle of Python versions, defining best practices, improving build and dependency workflows, and maintaining key internal Python libraries. You’ll partner closely with platform teams, CI/CD stakeholders and data/ML orgs to drive improvements that make Python development faster, safer, and more scalable.

The base salary offered for this role and level of experience will begin at $187,000 and up to $259,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

In this role, you can expect to

• Own Chime’s Python version standards, upgrade cadence, and compliance, reducing EOL exposure and security patch lag
• Design and drive safe, repeatable Python upgrade processes across services and shared libraries, enabling teams to adopt new versions with minimal friction
• Establish clear dependency management practices (e.g., version locking policies, upgrade safety, library compatibility strategies)
• Partner with CI/CD stakeholders to improve build performance, reliability, and developer experience for Python projects
• Maintain and develop critical internal Python libraries  including roadmap, quality, and adoption
• Define and evangelize Python best practices (“the Chime way”), aligned with community standards, and support teams through documentation and enablement
• Identify and drive opportunities to maximize returns from the Python + AI ecosystem, evaluating tools, practices, and vendor options that improve iteration speed and outcomes

To thrive in this role, you have

• 5+ years of software engineering experience, with deep hands-on expertise in Python in production
• Strong experience with Python build tooling, and an understanding of tradeoffs in versioning and distribution
• Understanding of asynchronous and synchronous data-sharing patterns (pub/sub, RPC, caching, etc.).
• Solid knowledge of containerized environments and build systems (Docker images, CI pipelines, caching, reproducible builds)
• Experience building and maintaining shared libraries used by multiple teams, including API design, backwards compatibility, and release management
• A security- and reliability-first mindset, especially around EOL management, patching and build integrity
• Strong cross-functional collaboration skills—able to influence without authority and align multiple teams around standards and migrations
• Comfort operating with ambiguous requirements, creating clarity through docs, prototypes, and incremental rollout plans
• Bonus: experience working in/supporting data engineering and ML
• Engineers are required to participate in on-call rotation. Being on call may include responding to incidents outside of regular working hours when necessary.

#LI-Remote #LI-GC1

About the role

Chime Engineering is growing rapidly as we scale to meet the financial needs of our members. We're looking for driven engineers with strong leadership skills to help evolve our risk architecture, enabling deeper insights and stronger protections for our members.

As a Senior Engineer, you'll provide technical leadership to the team, helping drive the modernization of one of our Chime Platforms within Trust & Safety. Your work will ensure a secure, seamless, and frictionless experience for our members. You’ll lead key projects end-to-end by setting technical direction, shaping system architecture, mentoring engineers, implementing APIs, collaborating with data engineers and analysts, and ensuring the reliability and performance of the platform—while also contributing to other team initiatives as needed.

The base salary offered for this role and level of experience will begin at $173,000 and up to $204,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. 

In this role, you can expect to

• Drive technical design and architectural decisions, while mentoring engineers and fostering cross-functional collaboration
• Lead and contribute to multiple projects simultaneously, balancing ownership of key initiatives with support across broader team efforts
• Build and maintain robust, low-latency APIs and backend services that power our Trust and Safety platforms
• Become the domain expert in our platform architecture, providing technical decisions and solutions to refine our maturing platforms
• Partner with data engineers, analysts, and product managers to ship impactful features that enhance member protection and experience
• Improve platform reliability and performance through thoughtful system architecture, observability practices, and automation
• Evolve our experimentation, policy lifecycle, and ML integration capabilities to support smarter and faster decision-making at scale
• Engineers are required to participate in on-call rotation. Being on call may include responding to incidents outside of regular working hours when necessary.

To thrive in this role, you have

• 5+ years of experience developing software in a production environment at scale
• Prior experience serving as a technical lead for a team and on complex projects—driving architectural decisions, coordinating execution, and aligning cross-functional teams
• Proven experience with Ruby on Rails or comparable frameworks
• Experience with transactional databases and caching systems
• Deep understanding of architectural patterns for large-scale web applications
• Commitment to mentoring engineers and fostering team development
• An appreciation of maintainable and well-tested code
• Curiosity and passion for diving deeply into system architectures and technical challenges
• Experience in fast-paced or early-stage environments is a strong plus

#LI-Hybrid #LI-SB1

Please only apply to one of our Job Postings. At the bottom of the application questions below you'll have the option to indicate if there are any other roles here at Radix that you might be interested in. Please do not submit multiple applications for different positions.  

As a DevOps Engineer your goal is to enhance live trading systems, research infrastructure, and alpha generation through technology innovation. You will be covering our night shift in our Chicago office alongside other engineers and researchers. Our DevOps team is specifically responsible for ensuring efficacy of our trading machines and the translation of research to production. The ability to execute in a fast-paced environment is crucial for this team, as you’ll be manipulating Linux on the fly, identifying errors and inefficiencies quickly and designing solutions to challenges with systems, networking, and general architecture on a daily basis. 
 
We leverage cutting-edge software and hardware to push production level code daily and evolve fully-automated strategies, alpha generation processes, live trading systems, and machine learning research and simulation infrastructure used to analyze petabytes of data. 
 
We provide starter projects that we know will add value to the firm, while encouraging exploration and independent projects to improve inefficiencies, propose iterations, and own significant processes and tools within your first few months. 
 
COMPENSATION – Competitive salary, plus quarterly bonus based on individual performance and contribution towards success of others and the firm.
 
Qualifications
 
We’re looking for highly analytical people who want to help build the research-driven trading firm of the future. And to do that, you’ll need the following qualities:

• Python; awareness of strength in particular language and ability to solve more complex problems due to understanding nuances of the language
• Persistent Drive to Improve - Do you have an innate desire to rise to the next level, even after great accomplishments?
• Creative Problem Solving and Probabilistic Thinking - You must enjoy learning and implementing new concepts quickly, combining knowledge from different domains to create new ideas, and take a data-driven and probabilistic approach to testing and implementing new ideas.
• Team Mindset - We want people who understand 1+1 > 2 and are as committed to making the team better through sharing ideas as they are driven to improve their individual performance.
• Mental Flexibility & Self Awareness - You’ll have to frequently adapt based on new data, results, and feedback on your ideas and performance.
• Orientation for Making Money - Although we value academic training, our work is not an academic exercise. We take a hacker’s approach to testing ideas, dropping projects that consume time without high upside, and focusing our next efforts on what will create the most value for the firm.

Software development skills to have or develop

• Understanding of data structures, algorithmic complexities, and numerical algorithms
• Systems Architecture - knowledge and experience with distributed systems and communication
• Software Architecture - knowledge and experience working with a large code base
• Development Processes - experience delivering and deploying software in production environments

Please only apply to one of our Job Postings. At the bottom of the application questions below you'll have the option to indicate if there are any other roles here at Radix that you might be interested in. Please do not submit multiple applications for different positions.  

As a DevOps Engineer your goal is to enhance live trading systems, research infrastructure, and alpha generation through technology innovation. Our DevOps team is specifically responsible for ensuring efficacy of our trading machines and the translation of research to production. The ability to execute in a fast-paced environment is crucial for this team, as you’ll be manipulating Linux on the fly, identifying errors and inefficiencies quickly and designing solutions to challenges with systems, networking, and general architecture on a daily basis. 
 
We leverage cutting-edge software and hardware to push production level code daily and evolve fully-automated strategies, alpha generation processes, live trading systems, and machine learning research and simulation infrastructure used to analyze petabytes of data. 
 
We provide starter projects that we know will add value to the firm, while encouraging exploration and independent projects to improve inefficiencies, propose iterations, and own significant processes and tools within your first few months. 
 
COMPENSATION – Competitive salary, plus quarterly bonus based on individual performance and contribution towards success of others and the firm.
 
Qualifications
 
We’re looking for highly analytical people who want to help build the research-driven trading firm of the future. And to do that, you’ll need the following qualities:

• Python; awareness of strength in particular language and ability to solve more complex problems due to understanding nuances of the language
• Persistent Drive to Improve - Do you have an innate desire to rise to the next level, even after great accomplishments?
• Creative Problem Solving and Probabilistic Thinking - You must enjoy learning and implementing new concepts quickly, combining knowledge from different domains to create new ideas, and take a data-driven and probabilistic approach to testing and implementing new ideas.
• Team Mindset - We want people who understand 1+1 > 2 and are as committed to making the team better through sharing ideas as they are driven to improve their individual performance.
• Mental Flexibility & Self Awareness - You’ll have to frequently adapt based on new data, results, and feedback on your ideas and performance.
• Orientation for Making Money - Although we value academic training, our work is not an academic exercise. We take a hacker’s approach to testing ideas, dropping projects that consume time without high upside, and focusing our next efforts on what will create the most value for the firm.

Software development skills to have or develop

• Understanding of data structures, algorithmic complexities, and numerical algorithms
• Systems Architecture - knowledge and experience with distributed systems, communication, and HPC systems 
• Software Architecture - knowledge and experience working with a large code base
• Development Processes - experience delivering and deploying software in production environments

Senior Data Scientist Consultant, Managed Agent Platform (MAP) – Agent Platform Team P2392 

Summary 

The Agent Platform Team, within AI Enablement at 84.51°, owns and manages the core platforms that power data science and AI across the organization. This role sits on the MAP (Managed Agent Platform) squad and is focused on helping stand up a new, centralized platform that simplifies and accelerates the design, development, deployment, and monitoring of AI agents across the organization. 

The MAP is being built in response to growing demand for a flexible, no-code/low-code solution that enables both technical and non-technical users to build and deploy agents without deep engineering overhead. The platform is early-stage — the team is actively evaluating different platforms and tooling, defining workflows, and establishing standards. You will be joining at the ground floor and helping shape what this platform becomes. 

You will be the bridge between the engineers building/maintaining the MAP and the data scientists and agent builders who will use it. You are not building agents for end-clients. Instead, you ensure the platform works for the people on it — that capabilities are tested, documented, and adopted smoothly, and that practitioner needs make it back to the engineering team in a way that shapes the roadmap. 

You’ll bring hands-on familiarity with the open-source agent ecosystem — including frameworks like LangChain, LangGraph, Google ADK, and OpenAI Agents SDK — and apply that knowledge to evaluate platform capabilities, inform design decisions, and help practitioners understand what’s possible. As the platform matures, you’ll help onboard users, develop best practices, and drive adoption across the organization. 

This is a small, engineer-heavy squad that is standing something up from scratch. Everyone pitches in on a bit of everything. Priorities will shift frequently as the platform takes shape. Success in this role is less about fixed technical expertise and more about comfort with ambiguity, good judgment about where to spend your time, and the ability to influence without direct authority. 

Responsibilities 

• Voice of the practitioner: Serve as the primary liaison between data scientists and agent builders and the MAP engineering team. Gather requirements, surface pain points, and translate practitioner needs into actionable feedback that shapes platform decisions, standards, and the roadmap. 

• Platform evaluation & definition: Help evaluate and select platform tooling and contribute to defining core platform capabilities — including agent building workflows, orchestration patterns, tool/API connectivity, observability and tracing, evaluation frameworks, and governance controls. Test and document findings, recommended use cases, limitations, and rollout considerations. 

• Onboarding & enablement: As the platform matures, write guides, maintain documentation, lead training sessions, and run office hours to help data scientists and agent builders adopt the MAP. Serve as a first line of support when teams hit roadblocks. 

• Adoption & communication: Evangelize the MAP to increase awareness and drive adoption across the organization. Produce clear communications and materials for both technical and non-technical audiences. 

• Cross-functional collaboration: Work closely with engineers, the solution architect, and product lead on the squad to ensure platform capabilities have well-defined use cases and that guidelines and best practices are established. Act as an agent-building ambassador to cross-functional teams, explaining recommended workflows and the reasoning behind platform choices. 

• Governance & compliance support: Help validate that platform capabilities meet enterprise requirements around security, compliance, observability, scalability, and data governance. 

Qualifications & Experience 

• Bachelor’s degree in mathematics, statistics, computer science, economics, or a related discipline. 

• 2–4 years of experience in data science, AI/ML development, or applied analytics. 

• 2–4 years of experience in tech consulting, retail analytics, or related professional services. 

• Hands-on experience with Python and SQL. 

• Hands-on experience with one or more agent frameworks (e.g., LangChain, LangGraph, Google ADK, OpenAI Agents SDK, CrewAI, AutoGen) is required. 

• Experience gathering user needs, documenting requirements, and driving issues to resolution with technical teams. 

• Experience partnering with software engineering and/or product management teams. 

• Familiarity with LLMs, prompt engineering, and agentic AI concepts. 

• Exposure to agent platforms is a strong plus. 

Skills 

• Strong written and verbal communication, including the ability to explain technical concepts clearly to non-technical audiences and produce high-quality documentation. 

• Ability to influence across teams and seniority levels without direct authority. 

• Comfort operating in ambiguity — this platform is early-stage, and priorities will shift frequently as the team learns what works. 

• Strong project and time management skills; able to manage multiple priorities with minimal oversight. 

• Deep curiosity about the agentic AI ecosystem and a genuine desire to become a subject matter expert on agent orchestration, evaluation, observability, and deployment patterns. 

• Comfort working on a small, engineer-heavy team where you are often the only non-engineer voice in the room. 

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Role Overview

The Middle / Back Office Developer designs, builds, and maintains internal systems that support trade processing, operational workflows, reporting, and firm-wide data visibility. This role partners closely with Operations, Trading, Accounting, Risk, and Technology teams—including regular interaction with senior leadership—to deliver scalable solutions that improve efficiency, accuracy, and transparency across post-trade processes.

Key Responsibilities

• Design, build, and maintain internal tools, dashboards, and reporting systems supporting Operations and business teams.
• Partner with C-level executives, traders, and cross-functional teams to gather requirements and deliver high-impact, scalable solutions.
• Develop backend services and APIs supporting the full trade lifecycle, including trade capture, reconciliation, P&L, settlements, and accounting feeds.
• Improve system performance, reliability, and observability through testing, monitoring, automation, and production support.

Required Skills & Experience

• 3–5 years of professional software development experience.
• Strong experience with Python and backend web development frameworks.
• Proven ability to manage stakeholders, including direct collaboration with C-level executives, traders, and Operations, Accounting, Risk, and Technology teams.
• Experience translating business requirements into clear, maintainable technical solutions.
• Solid understanding of databases and data modeling (SQL preferred).
• Strong communication skills and the ability to thrive in a fast-paced trading environment.

Nice to Have

• Experience building internal tools, dashboards, and operational reporting systems.
• Exposure to AI or machine learning, particularly applied use cases such as automation or intelligent reporting.
• Experience in trading, financial services, or other high-reliability, time-sensitive environments.
• Familiarity with event-driven architectures, messaging systems, or margin calculation systems.

Compensation

Base Salary Range: $120,000 – $180,000, plus eligibility for a performance-based bonus.

Final compensation will be determined based on the candidate’s skills, experience, education, and qualifications. In addition to base salary, Geneva Trading offers a competitive total rewards package, including a comprehensive benefits program. Learn more about our employee incentives here: https://www.genevatrading.com/employee-incentives/

Application expected to close: 6/27/26

Overview

As a GIS subject matter expert, you’re a natural at identifying the right analysis tools for the problem at hand. Not only do you create innovative solutions, you talk about solutions in ways that get others excited about the power of GIS technology. Join an account team and advise customers on their most complex business challenges. Leverage your problem-solving skills to demonstrate the value of GIS and how it finds unique patterns, trends, and understanding.

At Esri, we are committed to our customers and their success. It is a place for you to do your best work and partner with our customers amid a supportive culture that encourages creativity, collaboration, and passion.

Responsibilities

• Build relationships. Present, demonstrate, and support selling Esri software and solutions as part of the account team. Support your team as you help plan and execute sales strategies.
• Be an expert. Become a subject matter expert of local government as well as a technical expert of ArcGIS. Speak confidently with customers about Esri technologies and thoroughly communicate the Esri message. Be a visionary for your customers anticipating their needs and the technology trends that may impact them.
• Solve problems. Proactively craft and propose solutions that clarify how GIS brings business value to our customers by addressing the critical challenges they face. Define and deliver strategies to customers that align Esri technology with their business.
• Tell our story. Present technical demonstrations of proposed solutions to customers. Successfully design presentations for technical and non-technical customers. Provide best practices related to the use, deployment, and administration of Esri technology. Present at conferences and trade shows.

Requirements

• 2+ years of experience with Esri technology creating maps, performing spatial analysis, and configuring web applications
• 1+ years of experience in local government
• Understanding of ArcGIS from an IT context (such as hardware, storage, security, networking, web services, virtualization, cloud computing)
• Experience in technical consulting and conceptual solution design as well as an understanding of sales and business development processes
• Experience with geodatabases and underlying DBMS technology
• Knowledge of cloud computing concepts and environments (Microsoft Azure or AWS)
• Remarkable presentation, interpersonal, and listening skills
• Ability to travel domestically or internationally 25-50%
• Bachelor’s degree in geography, computer science, or a related field
• Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S

Recommended Qualifications

• Ability to troubleshoot client issues related to Esri application deployment and system architecture
• Experience integrating software solutions with other business systems including data warehousing, BI, CRM, ERP, and analytics platforms
• Experience incorporating real-time information streams with existing GIS data and IT infrastructure
• Basic understanding of artificial intelligence/machine learning concepts
• Programming and scripting experience with languages such as Python and JavaScript
• Master’s degree in geography, computer science, or a related field

Questions about our interview process?  We have answers.

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