Job Summary 

Codal is searching for a hands-on Engineering Lead to perform various architectural tasks and provide technical leadership. To ensure success, you should have extensive experience with designing architectures and web applications, ensuring the team delivers robust, scalable and secure solutions. This role involves hands-on coding along with a team of 4-5 engineers, maintaining high quality and standards across the full stack to deliver high-performance technologies.

• Architectural Vision: Design and lead the implementation of system architectures, including both scalable microservices and well-structured monolithic solutions, tailored to project requirements.
• Backend & API Mastery: Establish and enforce best practices for backend development, focusing on robust API design (REST/GraphQL), security protocols (OAuth/JWT), and comprehensive technical documentation.
• Data Strategy: Define and manage the overall data persistence strategy, covering relational databases (PostgreSQL), NoSQL solutions (MongoDB), and high-performance caching layers (Redis).
• Infrastructure & DevOps Collaboration: Partner with the DevOps team on critical infrastructure management, including CI/CD pipeline optimization, containerization (Docker/Kubernetes), and effective utilization of AWS/Azure cloud services.
• Performance Optimization: Proactively identify and resolve performance bottlenecks within the backend stack, driving optimizations to enhance system latency and throughput.
• Mentorship & Quality Assurance: Elevate team capabilities through deep-dive code reviews, providing constructive feedback focused on security, maintainability, and architectural soundness.

Ideal candidate skills

• Experience: Ideally 6+ years of relevant experience in hands-on full-stack development and technical leadership.
• Architecture: Provide technical design architecture for implementing complex web applications and scalable backend systems.
• Mentorship: Conduct code reviews and provide technical guidance to team members to ensure best practices.
• Standards: Establish and maintain high standards of code quality, performance, and security across all project deliverables.
• Tech Stack: 3+ years of deep expertise in technologies including Node.js, React, JavaScript/TypeScript, Python, and modern frontend & CMS frameworks.
• Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.
• DevOps & Cloud: Experience with Docker, Kubernetes, AWS/Azure/GCP, and CI/CD pipelines.
• Data Systems: Expertise in software architecture, database systems (BigQuery/SQL/NoSQL), and cloud-native applications.
• Soft Skills: Strong communication, leadership, and Agile methodology skills.
• Execution: Demonstrated ability in delivery, scalability, and solving complex technical challenges.

Requirements

• Ideally 3+ years of engineering lead experience
• Must have good logical & programming skills for at least one language like NodeJS/Python
• Good track record in terms of finding slow code & vulnerabilities during code review
• Has delivered enterprise level projects
• Must have active hands-on experience alongside a leading team of engineers
• Comfortable with leading a team of five

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

The Engineering Architect Team

The Architecture team is a small group of very senior engineers reporting to our VP of Engineering Excellence, working broadly across the organization in collaboration with Engineering, Product, and Security.  We partner deeply with other Engineering teams for large projects, and provide direction and architectural guidance for smaller initiatives.  We have a dual-pronged charter to “level up the tech stack and level up the people stack” via both technical contributions and partnerships/mentoring.

In this role, you will have the opportunity to significantly contribute to Auth0’s future technology direction.  Through your experience, knowledge of industry trends, and technical abilities you will provide guidance, build proof of concepts, and deliver production software implementations that help Auth0 Engineering teams move faster by using and developing standard patterns and technologies. You will also help advance the engineering culture and help uplevel other engineers. Note that while this role involves a lot of guidance, documentation, and leadership, it also requires substantial hands-on coding and development of both applications and systems.

What you’ll be doing

• You will collaborate with Product, Security, and Engineering teams to define and continually improve Auth0’s technology stack and architecture.
• Foster and lead innovation in the IAM space, with a strong focus on Agentic Identity
• Lead initiatives to enhance, scale, and evolve Auth0’s product offerings.
• Embed within Engineering teams across the organization for large projects, while providing guidance and lighter touch engagements for smaller initiatives.
• Design, architect, and document large scale distributed systems.
• Lead the development of complex, broadly-scoped functionality in a very large and deep set of services and components.
• Teach by doing: coding, optimizing, and troubleshooting Node.js and Go applications in collaboration with feature development teams.
• Implement features and create consistent foundations using technologies such as AWS, Azure, Node.js, Go, MongoDB, Redis, PostgreSQL, Kubernetes.
• Investigate, understand, and resolve bottlenecks in our ability to scale, use resources efficiently, and maintain a 99.99% uptime SLA.
• Drive technical decision making while striving to find the right balance between factors such as simplicity, flexibility, reliability, cost, and performance.
• Participate in “round table” discussions and mentor team members and engineers throughout the organization to level up our people.
• Participate in our Engineering Leadership Team with other architects, directors, and executives.
• You will join our Incident Commander on-call rotation. Members of our team do periodic on-call rotation for high-severity incidents to help up-level our responses After spending time getting acquainted with our applications, systems, and processes, and getting training to 

What you’ll bring to the role

• Passion and thorough understanding of what it takes to build and operate secure, reliable systems at scale.
• Knowledge of Identity Protocols such as OAuth, OIDC and SAML.
• Industry knowledge of the Authorization and Authentication spaces.
• Experience in building AI Agents, and/or MCP servers applications. 
• Experience with security engineering and application security.
• Very strong written and verbal communication skills with a demonstrated ability to adjust your communication style to the intended audience, whether communicating with senior executives, customers, engineers, or product managers.
• Mastery and deep understanding of hands-on software development building distributed systems.
• Experience with API-first applications using REST and/or gRPC.
• Experience with multi-cloud environments and container deployments, particularly Kubernetes in AWS/Azure.
• Prior experience with application performance management, tracing, and performance testing tools.
• Excellence at creating clarity and alignment for technical initiatives. 
• Great ability to build trust through collaboration with multiple teams and get consensus on a vision.
• Knowledge of application security and cloud security best practices.
• 10+ years of software development experience.
• 5+ years of experience working on cloud applications.

And extra credit if you have experience in any of the following!

- Deep experience in Node.js (Javascript or Typescript), or Golang.

#LI-Hybrid

(P-3286_3209115)

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.

While previous experience in the trading and finance industry is beneficial, we’re looking for talented software engineers with or without industry-specific expertise. We are open to remote workers for this role with the correct set of skils.

UP (Unified Platform) consolidates data and technologies into a comprehensive solution, accelerating time to market. Optimizing decision-making and research, our platform simplifies implementing new ideas, enhancing our competitive edge.

UP - PI (Platform Infrastructure) Writes and operates systems that accelerate other development teams. They provide managed services to technologists across all of DRW, helping domain experts focus on their business-critical goals. They create software to connect people, projects, and information, preventing silos and opacity.

For the appropriate candidate, we are open to remote employees for this role.

Expectations:

• Write, maintain, operate and improve managed infrastructure services for technologists firm-wide
• Design and communicate standards for how centrally managed services can be used
• Support internal technologists with triage, education, and consulting
• Write, maintain, operate, and improve bespoke applications for internal use, focused on visibility and integration across teams.
• Enable other teams to focus on business domains.
• Influence outcomes through dozens of software teams.
• Broadcast contagious passion for developer experience.
• Consolidate diverse and redundant approaches to common problems.

Desirable Experience:

• Three or more years of high impact contributions in Software Engineering, DevOps, SRE, Platform Engineering or adjacent roles
• Expertise in operating infrastructure at scale
• Expertise in Kubernetes, Apache Airflow, Kafka, Redis
• Proficiency in at least one of Python, Go, Java, Ruby
• Comfort deploying software to the cloud and on-premises
• Proven success in elevating standards for non-functional requirements like security, observability, reliability, and speed of delivery
• Informed perspective about AI Agents as development tools
• Record of accomplishment of enhancing the capabilities of other engineers and teams

The annual base salary range for this position is $100k to $175k depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.

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

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

[#LI-SK1] 

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

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

The UP – Analytics Front Office team is looking for a Senior Software Engineer who relishes working in challenging time-critical environments solving complex problems alongside highly capable peers.  Our team operates services providing real-time PnL and Risk monitoring services for a diverse group of trading desks each with varying degrees of portfolio and model complexity.   

While previous experience in the trading and finance industry is beneficial, we’re looking for talented software engineers with or without industry-specific expertise. 

UP – Analytics Front Office primarily operates C# services heavily utilizing RX for LINQ-style composition and asynchronous dispatch. We often reach for Python to build smaller services and frequently interact with analytics libraries in C++.  

Responsibilities 

• Design, implement and operate low latency risk analytics systems as part of a highly capable team.
• Decompose complex functional requirements into coherent service designs that are efficient, simple to operate, and can be changed reliably.
• Providing on-call support as part of our teamwide rotation.  We split on-call across the US and UK time zones to limit off-hours disruptions.
• Be a capable mentor who is eager to contribute their unique knowledge and perspective to advance the team’s capabilities.   

Required qualifications 

• Extensive experience designing & operating low latency distributed systems at scale for critical business functions.
• Extensive experience in testing & test automation
• Fluency in functional and object-oriented programming languages.
• Competency in using Git, CI/CD platforms, Docker and Kubernetes. 

Familiarity with 

• More than one of: C#, Java, Python, and C++
• Databases such as: MSSQL, Postgres, Redis
• Kafka/RabbitMQ or similar event-based platforms
• Data structures and design/analysis of algorithms 

Not required, but a bonus 

• Fixed Income products and Interest Rate derivatives (including Risk, PnL attribution, scenario analysis, etc.)
• IR derivatives models (Yield Curves, Option Pricing, SABR, etc.)
• Statistics, discrete mathematics, linear algebra 

Personal Traits 

• Possesses the ability and desire to learn, adapt and grow.
• Demonstrates personal humility, respect for others, and trust in their teammates.
• Capable of independently driving projects to completion but prefers collaborating with teammates.
• Excellent problem-solving and debugging skills, but even better listening and communication skills.
• Strong attention to detail, with a track record of leading and driving projects to completion. 

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

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

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

[#LI-SK1] 

You love the story that data can tell. We are looking for an experienced Product Analyst who balances technical excellence with strong product intuition. You’ll be responsible for the full spectrum of data storytelling—from overseeing data ingestion and refining semantic models to providing deep-dive quantitative analysis on feature engagement, adoption funnels, and business impact.

You will deliver insights through concise dashboards, detailed reports, and emerging conversational interfaces. This is a high-impact role where you will partner directly with Product leaders and Engineers to influence the direction of our platform, transforming raw event data into the insights that fuel our next phase of scale.

WHAT YOU’LL DO:

• Drive Insight Strategy: Proactively identify the reports, dashboards, and deep-dive analyses required to move the needle on product goals
• Build & Scale: Design and implement robust data models and visualizations that serve as the "source of truth" for the Product organization
• Analyze at Scale: Navigate and extract meaning from billions of mobile and digital messaging data points
• Full-Stack Analysis: Get "in the weeds" to pull, clean, and transform raw data into sophisticated findings, ensuring data integrity at every step
• Influence Roadmap: Present findings to Product and Engineering leadership to directly inform feature prioritization and strategy

WHO YOU ARE:

• Experienced: 5+ years in BI, Data Analysis, and Data Modeling, ideally within a B2B SaaS or high-growth tech environment
• SQL Expert: 5+ years of experience writing complex, performant queries
• Technical: Proficient in programming or scripting languages (Python or R) for data manipulation and analysis
• Visual Storyteller: Expert-level experience with modern visualization tools (e.g., Looker, Tableau, Databricks)
• Scientifically Minded: BA/BS in Statistics, Math, Economics, Computer Science, or a related technical discipline; firm grasp of advanced statistical techniques
• Curious & Autonomous: A fast learner and self-starter who doesn't wait for a ticket to find an answer

Ideally, you'll have: 

• Modern Data Stack Flow: Experience with dbt, Airflow, or modern cloud warehouses (Snowflake/BigQuery)
• NoSQL Familiarity: Experience querying NoSQL databases like MongoDB or Redis
• AI/LLM Interest: Experience using Claude Code, GitHub Copilot, or other LLM harnesses to accelerate development and insight generation
• Cross-Functional Leadership: A proven track record of working across departments to align data strategy with business needs

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $90,000 and $135,000/year with an expected On Target Earnings (OTE) between $104,000 and $156,000/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.

Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimize operations across channels, scale product offerings and enhance margins.

Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimized consumer shopping journeys from beginning to end.

Overview

At Rithum the Database Reliability Engineering (DBRE) team is responsible for the availability, reliability, and observability of all database systems. We rely heavily on automation to reduce manual work and are always looking for ways to improve our processes. We currently Manage and optimize a large-scale SQL Server environment spanning hundreds of instances across hybrid infrastructure (onprem VMware and AWS), as well as installations of various relational and NoSQL database platforms including MongoDB, DynamoDB, Elasticsearch, MySQL, Postgres, and Redis. These database systems touch all aspects of the business. On the DBRE team, we have a strong culture of curiosity, honesty, and a love of collaboration and constant learning.  

As a Senior Database Reliability Engineer, you are expected to embody these values and help foster them among your fellow team members. You are responsible for managing a variety of database systems and designing and leading your own projects with a highly technical approach.

Responsibilities

• Ensure maximum availability and reliability of mission-critical database systems across hybrid infrastructure.
• Design, implement, and maintain SQL Server Always-on Availability Groups, clustering, and replication topologies. Constantly improve the observability of all database systems.
• Lead major database upgrade initiatives and modernization efforts. Support other engineers and teams in their use of database systems.
• Continuously enhance observability using telemetry, performance analysis, and proactive monitoring.
• Continuously enhance processes through automation. Automate operational workflows using PowerShell, Python, and CI/CD tooling.
• Ensure all data is protected and secure
• Participate in our on-call rotation
• Troubleshoot and tune high-load production systems, including complex performance and replication issues.
• Lead technical response during high-severity incidents and conduct root cause analysis.
• Ensure database security, backup integrity, and disaster recovery readiness.
• Contribute to the development of best practices for database engineering and reliability.
• Collaborate cross-functionally to design scalable, resilient data architectures.
• Mentor team members and contribute to engineering best practices.

Qualifications 

Minimum Qualifications  

• 3+ years of hands-on experience managing database systems
• Basic understanding of multi-tenant, database-driven applications
• Familiarity with common data storage technologies and use cases
• Proficiency in a common high-level language such as PowerShell or Python
• Design, implement, and support SQL Server Always On Availability Groups, clustering, and transactional replication
• Lead and execute major upgrade initiatives (e.g., SQL Server version upgrades, compatibilitylevel transitions)
• Own disaster recovery validation and failover strategy execution
• Investigate and resolve complex replication and distribution database failures

Preferred Qualifications 

• 5+ years of hands-on experience administering production database systems at scale
• Bachelor’s degree in a related field
• Experience with database high-availability technologies
• Experience with MongoDB (including replica sets and Atlas), DynamoDB, or other distributed NoSQL platforms
• Familiarity with cloud-native database architectures (AWS preferred)
• Exposure to data platform modernization initiatives (e.g., migration to newer engine versions, consolidation, cloud adoption)
• Knowledge of relational database design concepts in an OLTP environment
• Experience managing database systems in a cloud environment
• Strong problem-solving and analytical skills
• Excellent communication and teamwork abilities
• Commitment to continuous learning and professional development

 Travel Required  

Up to 10%

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

What it’s like to work at Rithum 

When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.

As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.

At Rithum you will:

• Partner with the leading brands and retailers.
• Connect with passionate professionals who will help support your goals.
• Participate in an inclusive, welcoming work atmosphere.
• Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
• Receive industry-competitive compensation and total rewards benefits.

We believe in transparency and fairness in our compensation practices.

For this position, the expected base pay range is: $90,000-$140,000 per year. 

This range represents the base pay for the role across all U.S. locations and is determined based on market data, internal equity, and experience. Final compensation may vary depending on geographic location, skills, and relevant experience.In addition to base pay, we offer a discretionary bonus for non-sales roles, a comprehensive benefits package, and, where applicable, sales incentives.

For this position, the expected discretionary bonus is 10% of the annual base salary.

 Benefits 

• Medical, dental and vision benefits: Affordable health care plans and company HSA contributions, starting on Day 1
• A 6% 401(k) match
• Competitive time off package with 20 days of Paid Time Off, 9 Company-Paid holidays, 2 paid floating holidays, 7 paid sick days, 2 Wellness days, and 1 Paid Volunteer Day; at 3 years of service PTO increases to 22 days, and at 5 years it increases to 25 days
• 12 weeks primary caregiver leave & 4 weeks secondary caregiver leave
• Accident, critical illness, and hospital indemnity insurance
• Pet insurance
• Legal assistance and identity theft insurance plans
• Life insurance 2x salary
• Access to the Calm app and the Employee Assistance Program
• $65/month Remote work stipend for internet
• Culture and team-building activities
• Tuition assistance
• Career development opportunities
• Charitable contribution match up to $250 per year

Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.

We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.

The Role

We are seeking a talented and experienced software engineer to join our specialized TAPE team within the Post Trade Technology group. Our team owns and operates the firm's critical trade and positions system, delivering real-time risk awareness and seamless integration across every trading desk in the organization.  As a key contributor to TAPE - our next-generation based platform engineered for enhanced scalability, volume capacity, and support for sophisticated trading strategies - you will drive the modernization of our core infrastructure. This role presents an exciting opportunity to tackle complex technical challenges in distributed architecture, high-throughput processing, and low latency systems while collaborating closely with both your immediate TAPE team members and the broader Post Trade Technology organization. You'll be instrumental in shaping the future of our trade processing capabilities, working at the intersection of cutting-edge technology and critical financial operations that power our firm's trading activities

What you'll do

• Architect, develop and maintain resilient Java services to power TAPE's critical post-trade processing workflows, including trade capture, position aggregation
• Engineer highly scalable distributed systems capable of processing millions of daily trades across multiple asset classes, optimizing for low latency in position updates while maintaining data consistency.
• Work closely with other engineers and stakeholders within the Post Trade Technology team to ensure seamless integration and alignment with broader post-trade processing initiatives and systems.
• Collaborate with cross-functional teams—including traders, quant developers, and other technical groups—to design, build, and enhance client APIs in Java, C++, and Python.
• Contribute to building and refining user interfaces using Angular, ensuring seamless integration with underlying APIs.
• Leverage distributed caching solutions (e.g., Hazelcast, Oracle Coherence, or Redis) and container orchestration with Kubernetes to optimize system performance and reliability.
• Drive technical innovation by evaluating and integrating emerging technologies, architectural patterns, and industry best practices to enhance system resilience, processing throughput, and operational efficiency.
• Proactively monitor system health, diagnose performance bottlenecks, resolve production incidents, and maintain detailed technical documentation to support 24/7 operations and regulatory compliance requirements

What we are looking for

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
• Proven experience in developing Java-based applications and services, preferably in a high-volume, low-latency environment.
• Proficiency in building and integrating APIs using Java, C++, and Python.
• Solid understanding of distributed systems and caching solutions (e.g., Hazelcast, Oracle Coherence, Redis).
• Exposure to trading systems and capital markets with an understanding of how real-time risk management and trade processing systems operate.
• Excellent problem-solving skills and a proactive approach to tackling complex technical challenges within a collaborative team environment.

Nice to have

• Experience with post-trade processing systems including trade capture, position management, settlement workflows, and real-time risk calculations in capital markets environments.
• Understanding of trade lifecycle events, reconciliation processes, and the integration points between front-office trading systems and back-office settlement operations.
• Experience working on critical trading systems or financial applications.
• Additional certifications or training in cloud architecture, containerization, or financial markets technology.
• Experience deploying and managing applications using Kubernetes.

About Loop 

Loop is on a mission to streamline the movement of money between shippers, carriers, and brokers to unlock margin and increase liquidity in the supply chain.

Today, logistics payments are a big black box that unnecessarily drains thousands, if not millions, of dollars. Legacy services do not meet the market's needs. Transportation teams need a solution that unlocks insights from their complex datasets, rather than drowning them in manual workflows.

Loop harnesses AI expertise with deep logistics industry knowledge to deliver automated audits, streamlined resolutions, expedited payments, and most importantly actionable insights. All so that shippers and 3PLs can improve spend visibility, eliminate unnecessary costs, and optimize their transportation spend. Loop’s customers see a 4% reduction in costs and an 80% boost in back-office productivity.

Loop is a customer-obsessed company that sees the complexity in the supply chain as an opportunity rather than a challenge. Our foundational AI capitalizes on the messiness in the system to maximize outcomes for our customers.

Investors include Founders Fund, 8VC, Susa Ventures, Flexport, and 50 industry-leading angel investors. Our team brings subject matter expertise and experience from companies like Uber, Google, Flexport, Meta, Samsara, Intuit, and Rakuten – as well as traditional logistics companies like CH Robinson.

About You
As a full-stack engineer, you will work closely with founders and customers to understand and solve their logistics billing and payment pain points. You will help define the product and ship features that directly impact our customers. You will face and solve many complex technical challenges while you receive guidance and feedback from the team. You will shape the Loop DNA and define how we grow as a company.

Responsibilities

• Work cross-functionally with product, design, and sales to understand requirements and ship thoughtful solutions.
• Write high-quality code optimized for extensibility.
• Engage in code reviews to maintain a high bar of engineering excellence.
• Lead discussions and documentation to communicate and arrive at the best technical design.
• Work across different component boundaries, from frontend to backend, and even infrastructure layers.
• Promote better practices and share technical knowledge across the team.
• Help grow Loop through deliberate feedback on product, process, and culture.

Qualifications

• Willing to work in the SF or Chicago office three days a week
• Two years of software engineering experience.
• Experience with TypeScript and tools such as GraphQL, Relay, React, and Node.js.
• Experience working at early-stage companies where you shipped products end-to-end and wore many hats.

Under the Hood

• Infrastructure: AWS, CDK, Fargate ECS
• Backend: TypeScript, Node.js, Prisma, NestJS, PostgreSQL, Kafka, Redis, Elasticsearch, GraphQL
• Frontend: TypeScript, React, Relay, Ant Design, Vite, GraphQL

Compensation

• Base pay 120k - 190k

Benefits & Perks

• Premium Medical, Dental, and Vision Insurance plans
• Insurance premiums covered 100% for you
• Unlimited PTO
• Fireside chats with industry leading keynote speakers
• Generous professional development budget to feed your curiosity
• Physical and Mental fitness subsidies for yoga, meditation, gym, or ski memberships

Why you should join Loop? 

#LI-LOOP

WHAT YOU’LL DO

Braze delivers customer experiences across email, mobile, SMS, and web. Customers, including Seamless, HBO, Disney, Urban Outfitters, and Venmo, use the Braze platform to facilitate real-time experiences between brands and consumers in a more authentic and human way. And we do it at scale—each month, tens of billions of messages are sent to a network of over 3 billion active users through Braze.

Need more proof? Braze was named a Leader in the Gartner Magic Quadrant for Mobile Marketing Platforms in 2019 and the Forbes Cloud 100. The company has also been selected as one of Inc. Magazine’s Best Places to Work (2019 and 2020), and Crain's Best Places to Work in NYC (2019 and 2020).

The Canvas Logic and Execution (CLX) team manages the full platform lifecycle of Canvas, our flagship product for marketing automation workflows. As a mission-critical, high-scale, and high-performance system, Canvas processes billions of asynchronous jobs and operates on global infrastructure spanning multiple cloud providers.

We are seeking an experienced and dynamic Engineering Manager to spearhead the CLX team. This role is crucial for continually refining our platform based on user feedback and strategically expanding its capabilities to support increasingly complex and personalized real-time workflows at massive scale.

As the Engineering Manager, you will establish and maintain best-in-class systems by contributing to the architecture, development, and optimization of our product. You will drive your team's success by defining efficient processes, fostering engineers’ professional growth, and collaborating closely with the Product Manager and Designer to align team efforts with core product objectives.

WHO YOU ARE

• 5+ years of relevant experience as a manager with a strong track record of success
• Demonstrated experience in technical leadership, with the ability to drive and advocate for best-in-class iterative product development and engineering excellence
• Proven track record of architecting and driving significant technical initiatives for large-scale platforms
• Calm, patient, considerate, compassionate, supportive, and inspiring leader
• A self-starter with great communication and strong organizational skills, able to manage competing priorities and multiple streams of work at once
• Experience with agile processes and tools
• Bonus Qualifications:
  • Experience with distributed systems, MongoDB, Redis, Datadog, Kubernetes, React, Ruby, Ruby on Rails

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $153,000 and $270,300/year with an expected On Target Earnings (OTE) between $180,000 and $318,000/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.

How you will make an impact:

Engineering at Iterable is responsible for the core platform used by our growing customer base. Making this platform easy to use and attractive to non-technical users is extremely important. Our Engineering team works closely with Product, Design, Infrastructure, and SRE to bring next-generation marketing solutions to our massively scalable platform. We believe in building an Engineering culture guided by our company values which you can learn more about here.

One of our core values is Growth Mindset and Iterable is a company where everyone can continuously learn. If this is an idea that excites you, please do apply as we value applicants for the skills they bring beyond a job description

Team Description? 

How you will make a difference:

As a Senior Software Engineer working on the User Data Infrastructure team, you will:

• Design and develop software for a highly scalable and reliable multi-tenant system
• Architect and develop solutions to scale a complex platform that reaches millions of users
• Enhance observability of data at ingestion, query, and storage layers
• Improve automation of our Elasticsearch cluster management system

We are looking for people who have :

• Relevant industry experience building production-ready, scalable applications
• Proficiency  in at least one programming language (ideally Scala and/or Java)
• Experience with Elasticsearch
• Experience with NoSQL and SQL databases  
• Passion for learning -- always improving yourself and the team around you

Our Technology Stack:

• Programming Language: Scala, Java
• Databases: Elasticsearch, Postgres, Redis
• Infrastructure: Kafka, AWS, Pulsar
• Other Relevant Technologies: Docker / Kubernetes

Bonus Points

• Experience working with large code base
• Experience with functional programming and the JVM

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $133,500 - $212,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

A DAY IN THE LIFE:

As an AI Software Engineer, you’ll spend your days architecting and building AI-powered systems that leverage foundational models like OpenAI, Claude, and Llama to solve real business problems. You’ll balance hands-on development of backend services and APIs with designing scalable AI integration patterns, building experimentation frameworks, and ensuring seamless deployment across our technology stack.

You’ll work closely with product managers to translate business needs into technical implementations, collaborate with data scientists on model integration, and guide teams on adopting the latest AI capabilities. You’ll drive rapid test-and-learn cycles, prototyping solutions that unlock significant business opportunities. You’ll also champion best practices for responsible AI implementation, ensuring our solutions are scalable, reliable, and maintainable.

This role is perfect for an expert generalist who thrives in fast-paced environments and wants to be at the forefront of AI innovation, turning cutting-edge technology into practical business solutions.

Team: Embedded within the AI Pathfinder team, collaborating across a cross-functional group of ~8–10 engineers, data scientists, and product managers within the Technology zone

Similar job titles: AI Platform Engineer, AI Engineer

WHAT WE’LL TRUST YOU TO DELIVER:

AI Solution Development

• Design and build backend services and APIs that deploy AI-powered features using foundational models
• Implement scalable architectures supporting AI workflows, automation, and data processing pipelines
• Create end-to-end solutions that translate high-level business problems into functional AI implementations
• Build experimentation frameworks enabling rapid iteration and deployment of AI functionalities

System Integration & Architecture

• Integrate AI services into complex technology stacks, ensuring seamless interoperability
• Connect AI capabilities with microservices, AWS platform components, and Redshift data systems
• Manage complex dependencies across multi-stack environments
• Ensure system reliability, scalability, and maintainability

Innovation & Experimentation

• Drive test-and-learn cycles with rapid prototyping of AI-driven solutions
• Evaluate and adopt new AI frameworks, tools, and capabilities
• Build proof-of-concept solutions for the company’s most exciting problems
• Stay current with the evolving AI ecosystem to guide technical decisions

Cross-Team Collaboration

• Partner with product managers to understand and translate business requirements
• Work with data scientists on model integration and optimization
• Coordinate with frontend engineers on API design and feature delivery
• Document system designs, APIs, and workflows for knowledge sharing

WHAT YOU LIKELY BRING TO THE TABLE: 

• 5+ years of backend software engineering with strong Python skills; experience with Java is a plus
• Proven track record designing and developing scalable APIs and distributed services (FastAPI, PostgreSQL, Redis)
• Deep understanding of cloud infrastructure (AWS Services, Bedrock), container orchestration (Kubernetes, Docker), and CI/CD pipelines
• Hands-on experience integrating AI/ML services and managing AI API dependencies (OpenAI, Claude, LangChain, vector databases)
• Practical knowledge of AI orchestration frameworks and data pipeline tooling (Redshift, Temporal)
• Test-and-learn mindset with strong rapid prototyping abilities
• Excellent communication skills for both technical and business stakeholders
• Experience with responsible AI principles, data privacy, and system reliability

How you will make an impact:

As a Software Engineer II at Iterable, you'll independently develop, maintain, and deliver moderate-complexity projects on your team. You'll be working with the Delivery team which builds and maintains the pipeline responsible to getting messages to end users on time. Ultimately, we help enable our customers to provide relevant, timely, and joyful experiences to their own users.

Our Engineering team works closely with Product, Design, Infrastructure, and SRE to bring next-generation marketing solutions to our massively scalable platform. We believe in building an Engineering culture guided by our company values which you can learn more about here.

You are recognized as a subject matter expert in a particular focus area and consistently demonstrate high-quality, on-time delivery. You take ownership of the full lifecycle of your code — from design through production monitoring and maintenance. One of our core values is a growth mindset and Iterable is a company where everyone can grow. If this is a role that excites you, please do apply as we value applicants for the skills they bring beyond a job description.

You'll get to:

• Execute on core work with minimal guidance in a way that increases team velocity while maintaining high quality
• Break down projects into milestones, provide accurate cost estimates, and proactively keep stakeholders informed
• Architect and develop solutions on a complex platform that reaches millions of users
• Collaborate with frontend, backend, product, and design to conceptualize and build new product features
• Write well-structured, maintainable, documented, and tested code with an eye toward future reuse and modularization
• Diagnose and fix tricky bugs, prevent incidents through appropriate testing, and maintain a track record of drama-free deploys
• Provide in-depth code reviews and contribute to design reviews with respectful, effective communication
• Recognize potential scalability issues, bring them to the Architecture Support Group (ASG), and participate in remediation
• Collaborate actively to unblock teammates, give and receive hard feedback with respect and empathy, and solicit input from people of diverse backgrounds
• Participate in recruiting and develop effective interviewing skills

We are looking for people who have:

• 3+ years of relevant software development experience
• Proficiency in at least one modern programming language (ideally Scala and/or Java)
• Experience building production-ready, scalable web applications
• Experience with Elasticsearch and/or other relevant technologies such as Postgres and data pipeline systems
• Strong interpersonal skills and the ability to collaborate in a highly remote/distributed environment
• Ability to facilitate discussions within your team and cross-functionally
• A desire to be part of a values-driven Engineering team
• Passion for learning — always improving yourself and the team around you
• Willingness to take on-call responsibilities
• Fluency in English (verbal and written)

Our Technology Stack:

• Programming Language: Scala
• Databases: Elasticsearch, Postgres, Redis, CRDB
• Infrastructure: Pulsar, Kafka, AWS
• Other Relevant Technologies: Docker / Kubernetes, React

Bonus Points:

• Experience with end-to-end, integration, and performance testing
• Exposure to enterprise systems

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $114,500 - $188,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

WHAT YOU'LL DO

Site Reliability Engineers (SREs) are responsible for keeping all internal-facing services and platforms running smoothly. In a nutshell, SREs ensure site uptime. SREs blend sensible system administrators and software engineers who apply sound engineering principles, operational discipline, and mature automation to the environments and infrastructure services we provide. We specialize in systems–whether it be networking, the Linux kernel, or some more specific interest in scaling–algorithms or distributed systems.

Our team helps to improve automation, infrastructure reliability, and empowers Braze’s other engineering teams to leverage the infrastructure products and platforms we create easily. Braze operates at a massive scale with over 3.3 billion monthly active users across our customers, collecting hundreds of billions of data points each month, and sending billions of messages to end-users daily. We use a diverse technology stack rooted in Ruby on Rails, MongoDB, Redis, Kafka, Kubernetes, and more. As a Senior Site Reliability Engineer at Braze, you will collaborate with your team and consumer engineering teams to continuously improve the infrastructure, automation, and tooling that build internal products from these technologies.

Main responsibilities:

• Partner with Braze’s engineering teams on:
• Architecting products to effectively utilize infrastructure platforms in a scalable, reliable manner
• Debugging reliability and scalability issues across all stack layers, including the products built using our infrastructure platforms
• Make monitoring and alerting alerts on symptoms and not on outages
• Ensure that Braze meets our strict enterprise-grade SLAs with customers
• Develop Braze’s internal platform infrastructure:
• Create Infrastructure as code using Chef, Terraform, and Kubernetes
• Develop deployment pipelines for applications in multiple languages using Docker, Kubernetes, etc
• Provide centralized/common tooling, services, and automation frameworks that are critical for scaling operations, capacity management, reducing operational pain, and improving the day-to-day workflow of Braze’s engineering teams
• Manage incidents:
• Be on a PagerDuty rotation to respond to availability incidents and provide support for other engineers
• Use your on-call shift to prevent incidents from ever happening
• Retrospect everything that happens to turn lessons into system improvements/changes, automation, etc

WHO ARE YOU

• 5+ years of experience as a Software, DevOps, or Site Reliability Engineer
• You think about systems - interfaces, boundaries, edge cases, failure modes, behaviors, specific implementations
• Have an urge to collaborate, document, and deliver quickly
• Collaborating across the global remote teams, often working asynchronously
• Document everything so you don't need to learn the same thing (or plan the same work) twice
• Delivering fast to delight our customers - even internal ones
• Have an enthusiastic, go-for-it attitude. When you see something broken, you can't help but fix it
• Have a desire to solve everyday challenges facing software engineers and automate their toil away
• Have an excellent ability to manage multiple tasks and expectations at once
• Know your way around Linux and Unix Shell.
• Have strong programming skills - Ruby and/or Go preferred
• Have experience with Docker, Kubernetes, Terraform, or similar IaC technologies
• Have experience with MongoDB, Redis, Kafka, Postgres, or similar data technologies

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $156,364 and $279,957/year with an expected On Target Earnings (OTE) between $172,000 and $306,000/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, Braze offers full- and part- time employees a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that all Braze employees own a piece of our company.

#LI-Hybrid

How you will make an impact:

As a Senior Software Engineer at Iterable, you'll be responsible for the core platform used by our growing customer base. Making this platform easy to use and attractive for non-technical users is extremely important. 

Our Engineering team works closely with Product, Design, Infrastructure, and SRE to bring next-generation marketing solutions to our massively scalable platform. We believe in building an Engineering culture guided by our company values which you can learn more about here.

You will be working with the Analytics Application team that provides accurate and actionable insights to our customers so that they can establish a clear understanding of the effectiveness of their marketing efforts. Ultimately, we help enable our customers to provide the most relevant and joyful experiences to their own users.

One of our core values is a growth mindset and Iterable is a company where everyone can grow. If this is a role that excites you, please do apply as we value applicants for the skills they bring beyond a job description.

You’ll get to:

• Own the backend of the product with a huge amount of autonomy
• Architect and develop solutions to scale a complex platform that reaches millions of users
• Collaborate with frontend, backend, product, and design to conceptualize and build new product features
• Provide direction for your team and guide standards across the Engineering organization
• Improve Engineering processes, tooling, and efficiency
• Mentor and guide team members 

We are looking for people who have:

• Relevant industry experience building production-ready, scalable web applications
• Proficiency in at least one modern programming language (ideally Scala and/or Java)
• Experience with Elasticsearch and/or other relevant technologies such as Postgres and data pipeline systems. 
• Ability to facilitate discussions within your team and cross-functionally
• A desire to be part of a values-driven Engineering team
• Passion for learning -- always improving yourself and the team around you

Our Technology Stack:

• Programming Language: Scala
• Databases: Elasticsearch, Postgres, Redis
• Infrastructure: Pulsar, Kafka, AWS
• Other Relevant Technologies: Docker / Kubernetes, React

Bonus Points

• Experience with large-scale performance testing 
• Experience with data processing and advanced methodologies
• Experience with functional programming and the JVM
• Experience using AI IDEs or workflows

The US base salary range for this position at the start of employment is $133,500 - $212,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

WHAT YOU'LL DO

Platform Software Engineers (PSWEs) design and build the distributed systems that power Braze's massive-scale background processing platform. We own Sidekiq at Braze—processing more than a trillion jobs daily across Kubernetes clusters worldwide. Our work spans autoscaling systems, metrics pipelines, reliable job execution, and internal frameworks that make distributed processing safe for application teams.

Braze operates at a massive scale: 3.3 billion monthly active users, hundreds of billions of data points collected each month, and billions of messages sent daily. Our tech stack is rooted in Ruby on Rails, Go, MongoDB, Redis, and Kafka. As a PSWE, you'll collaborate with application teams to evolve the Sidekiq platform they depend on and improve the reliability, performance, and developer experience.

Main responsibilities:

• Develop Braze’s embedded frameworks that enable large-scale distributed processing
• Design, build, and operate internal software frameworks that power Braze’s asynchronous and background processing systems at massive scale
• Evolve and extend frameworks built on technologies such as Sidekiq to reliably execute over a trillion jobs per day across a globally distributed platform
• Own scaling behavior, reliability guarantees, failure modes, and operational safety of these systems
• Provide opinionated abstractions, tooling, and guardrails that allow application teams to use distributed processing safely without needing to manage underlying complexity
• Improve observability, debuggability, and operational ergonomics for large-scale job-processing systems
• Manage incidents:
• Be on a PagerDuty rotation to respond to availability incidents and provide support for other engineers
• Use your on-call shift to prevent incidents from ever happening
• Retrospect everything that happens to turn lessons into system improvements/changes, automation, etc.

WHO YOU ARE

• 5+ years of distributed systems development or platform/infrastructure experience
• You think about systems - interfaces, boundaries, edge cases, failure modes, behaviors, and specific implementations
• Have an urge to collaborate, document, and deliver quickly
  • Collaborating across the global remote teams, often working asynchronously
  • Document everything so you don't need to learn the same thing (or plan the same work) twice
  • Delivering fast to delight our customers–even internal ones
• Have an enthusiastic, go-for-it attitude. When you see something broken, you can't help but fix it
• Have a desire to solve everyday challenges facing software engineers and automate their toil away
• Have an excellent ability to manage multiple tasks and expectations at once
• Experienced in working on large-scale API-driven systems
• Experienced in application and systems observability
• Experience with distributed systems, message queues, or background job processing, with a strong focus on Sidekiq
• Strong Ruby and Rails experience, with Go experience being helpful (our primary languages)
• Interest in reliability engineering—failure modes, retry semantics, idempotency

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $128,842 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, Braze offers full- and part- time employees a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that all Braze employees own a piece of our company.

#LI-Hybrid

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

Your Role:

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

Job Responsibilities

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

Requirements

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

Preferred Qualifications

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

Key Technologies

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

Why Moonlite

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

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

#li-remote

Responsibilities:

• Provision, configure, and support server, network, and desktop equipment.
• Mature the automation efforts of the lifecycle of a server, including onboarding, patching, and sunsetting.
• Provide technical support to traders and other office staff, with a strong focus on user satisfaction.
• Perform data center work, such as cabling, server install/decom, and part replacement.
• Monitor and respond to application, operating system, network and hardware events quickly. Enhance existing monitoring infrastructure as needed.
• Document new projects and procedures. Improve upon existing documentation where needed.
• Work with network, trading, and operations staff as part of daily trading and on projects.

Requirements:

• Pursuing a BS or MS degree in computer science, engineering, or IT with expected graduation in 2025/2026.
• Good understanding of computer science fundamentals, including operating systems, networking, and programming concepts.
• Experience with Linux and various Linux distributions. Examples: Debian, CentOS, Ubuntu.
• Bash and Python experience.
• Prior use and understanding of a version control system, such as Git.
• Familiarity with virtualization and containers, such as VMware and Docker.
• Experience with configuration management tools like Ansible, Terraform, Salt Stack, etc... are a plus.
• Basic client-side and server-side SQL (PostgreSQL, MySQL, etc...) and NoSQL (MongoDB, Redis, etc..) database experience is a plus.
• Ability to lift equipment weighing up to 50 pounds.
• Prior use of bare-metal server provisioning tools, such as Foreman, is a plus.
• Willingness to work occasional weekends and evenings.
• Ability to communicate clearly and stay calm under pressure.
• This position requires physical presence and is on-site (no remote work).