RAPP Chicago is looking for a Director, Technology Data to join our award-winning Technology team.

WHO WE ARE:

We are RAPP – world leaders in activating growth with precision and empathy at scale.

As a global, next-generation precision marketing agency we leverage data, creativity, technology, and empathy to foster client growth. We champion individuality in the marketing solutions we create, and in our workplace. We fight for solutions that adapt to the individual’s needs, beliefs, behaviors, and aspirations.



We foster an inclusive workplace that emphasizes personal well-being.

HOW WE DO IT:

At RAPP, our fearless superconnectors help to create value from personal brand experiences by focusing on three key areas: connected data, connected content and connected decisioning.


Our data analysts identify who that person is, our strategists understand what they want, and our award-winning technologists and creatives know how to deliver it – ensuring we’re able to activate authentic customer connections for our clients.


Part of Omnicom’s Precision Marketing Group, RAPP is comprised of 2,000+ creatives, technologists, strategists, and data and marketing scientists across 15+ global markets

YOUR ROLE:

We are seeking a highly experienced Data Architect to guide our organization in designing, implementing, and optimizing enterprise data architecture. This role is critical in shaping data strategy, ensuring scalability, and enabling advanced analytics and AI-driven solutions. As a Data Architect, you will provide thought leadership, evaluate current systems, and recommend best practices to maximize the value of data assets.

YOUR RESPONSIBILITIES:

• Strategic Data Architecture
  • Define and implement enterprise-wide data architecture strategy aligned with business goals.
  • Develop and maintain data models (conceptual, logical, physical) that support operational and analytical needs.
  • Evaluate emerging data technologies and recommend adoption strategies.
• Consulting & Advisory
  • Assess current state of data platforms, pipelines, and governance frameworks.
  • Provide expert recommendations to improve scalability, security, and performance.
  • Advise executives and stakeholders on data modernization initiatives (e.g., cloud migration, data mesh, data fabric).
• Data Management & Governance
  • Establish standards for data quality, metadata management, lineage, and master data.
  • Partner with data governance teams to ensure compliance with regulatory and security requirements (e.g., GDPR, CCPA, HIPAA).
• Solution Design & Delivery
  • Design and oversee implementation of data warehouses, data lakes, and streaming platforms.
  • Ensure integration across structured, semi-structured, and unstructured data sources.
  • Define reference architectures and reusable frameworks for data pipelines and APIs.
• Collaboration & Leadership
  • Partner with business units, engineering teams, and analytics teams to ensure solutions meet requirements.
  • Mentor and guide data engineers, analysts, and architects on best practices.

REQUIRED SKILLS:

• 7+ years of experience in data architecture, data engineering, or related fields.
• Proven expertise in cloud platforms (AWS, Azure, GCP) and modern data stack technologies (Snowflake, Databricks, Apache Spark, Kafka, etc.)
• Strong knowledge of data modeling, ETL/ELT, and API-based integrations.
• Strong programming skills in multiple languages such as Python, SQL, Scala, or Java
• Solid understanding of data governance, security, and compliance frameworks.
• Experience with enterprise data governance, security frameworks, and regulatory compliance (GDPR, CCPA, etc.)
• Demonstrated ability to translate business requirements into technical solutions and communicate complex concepts to non-technical stakeholders

Preferred Qualifications

• Experience with AI/ML data readiness and MLOps integration.
• Experience with data mesh architectures, event-driven systems, and microservices patterns
• Strong background in data privacy, security, and compliance frameworks
• Previous experience in consulting or agency environments serving multiple clients and use cases

Our hybrid work model:

RAPP's current hybrid model is designed to enable in-person connections and collaboration that is core to our culture, while also supporting flexibility for all employees. As such, we have the option to work from home two days per week, if we'd like. 

RAPP provides a competitive salary and comprehensive benefits plan. Benefits for this role include health/vision/dental insurance, 401(k), stock options, Healthcare & Dependent Flexible Spending Accounts, vacation, sick, and personal days and positive activism days, paid parental leave and disability benefits. For more information regarding Omnicom benefits, please visit www.omnicombenefits.com. A reasonable estimate of the salary for this role, at the time of posting, is $126,000 - $138,000. This range is specific to Chicago and multiple factors are considered in making compensation decisions including, but not limited to: skill set, experience and training, certifications; etc. This is an exempt position. If your requirements fall outside of this range, you are still welcome to apply.

“As an EEO/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, veteran status.”

NOTE:  This job description is not intended to be all-inclusive. Employee may perform other related duties as negotiated to meet the ongoing needs of the organization.

FEQ227R155

While candidates in the listed location(s) are encouraged to apply for this role, exceptionally well-qualified candidates in other Central/Midwest locations will also be considered.

Mission

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Manufacturing team at Databricks.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for:

• 7+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator 
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

Rewards Network is an Equal Opportunity Employer (EOE). We encourage and strongly support workplace diversity.

Rewards Network is an Equal Opportunity Employer (EOE). We encourage and strongly support workplace diversity.

#LI-Hybrid

P15407_3389736

The Opportunity

Auth0’s platform is the front door for thousands of customers and millions of users. On the Platform Engineering team, we build the resilient foundations that enable customers to rely on Auth0 for always-on authentication and authorization services.

As the Senior Manager of Data Streaming Services, you will lead the evolution of our streaming data backbone across a multi-cloud footprint. You will oversee multiple engineering teams dedicated to making data streaming seamless, reliable, and high-performance. This is a "manager of managers" role requiring a blend of strategic foresight, execution rigor, and technical grit. You will set the vision for our streaming services, mentor high-performing teams, and take accountability for our service uptime guarantees.

What you’ll achieve

• Lead a world-class team of teams. Oversee data streaming infrastructure and services that power our global platform across AWS and Azure.
• Own roadmap and execution. Partner with product and stakeholder teams to define the team's strategy and prioritized roadmap.
• Drive engineering excellence. Set high standards of quality, reliability, and operational robustness, championing best practices in software development, from code reviews to observability and incident management.
• Lead an automation-first culture. Reduce operational friction and ensure infrastructure is self-healing and code-defined. Draw efficiency from AI-assisted development.
• Act as a technical leader. Lead response on incidents for services under ownership and help teams navigate complex distributed systems failures.

What you’ll bring

• Proven engineering leadership, building and leading teams of teams. Experience coaching Staff+ engineers and engineering managers.
• Strong technical and architectural acumen. Background in building scalable, distributed systems. Comfortable participating in and guiding technical discussions.
• Strong project management skills. Expertise in creating technical roadmaps, prioritizing effectively in an agile environment, and managing complex project dependencies.
• Collaborative leadership style, adapted to remote ways of working. Excellent written and verbal communication skills to build strong relationships with stakeholders and inspire others.

Bonus Points

• Experience developing data-intensive applications in a modern programming language such as go, node.js, or Java.
• Experience with databases such as PostgreSQL and MongoDB.
• Experience with distributed streaming platforms like Kafka.
• Familiarity with concepts in the IAM (Identity and Access Management) domain.
• Experience with cloud providers (AWS, Azure), container technologies such as Kubernetes and Docker, and observability tools such as Datadog.
• Experience building reliable, high-availability platforms for enterprise SaaS applications.

#LI-Hybrid

P15407_3389736

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] 

About Akuna:

Akuna Capital is an innovative trading firm with a strong focus on collaboration, cutting-edge technology, data driven solutions, and automation. We specialize in providing liquidity as an options market-maker – meaning we are committed to providing competitive quotes that we are willing to both buy and sell. To do this successfully, we design and implement our own low latency technologies, trading strategies, and mathematical models.

Our Founding Partners first conceptualized Akuna in their hometown of Sydney. They opened the firm’s first office in 2011 in the heart of the derivatives industry and the options capital of the world – Chicago. Today, Akuna is proud to operate from additional offices in Sydney, Shanghai, London and Singapore.

What you’ll do as a Software Engineer on the Data Engineering team at Akuna:

We are a data-driven organization, leveraging our data as a key competitive advantage essential to our success. The Akuna Data Engineering team is composed of world-class talent responsible for designing, building, and maintaining the systems, applications, and infrastructure needed to collect, store, process, manage, and query Akuna’s data assets. The Akuna Data Engineering team plays a crucial role in ensuring that trustworthy data is available, reliable, and accessible to support various data-driven initiatives within Akuna’s Quant, Trading, and Business Operations business units.   

In this role, you will:

• Work within a growing Data Engineering division supporting the strategic role of data at Akuna
• Drive the ongoing design and expansion of our data platform across a wide variety of data sources, supporting an array of streaming, operational and research workflows
• Work closely with Trading, Quant, Technology & Business Operations teams throughout the firm to identify how data is produced and consumed, helping to define and deliver high impact projects
• Build and deploy batch and streaming pipelines to collect and transform our rapidly growing Big Data set within our hybrid cloud architecture utilizing Kubernetes/EKS, Kafka/MSK and Databricks/Spark.
• Mentor junior engineers in software and data engineering best practices
• Produce clean, well-tested, and documented code with a clear design to support mission critical applications
• Build automated data validation test suites that ensure that data is processed and published in accordance with well-defined Service Level Agreements (SLA’s) pertaining to data quality, data availability and data correctness
• Challenge the status quo and help push our organization forward, as we grow beyond the limits of our current tech stack

Qualities that make great candidates:

• BS/MS/PhD in Computer Science, Engineering, Physics, Math, or equivalent technical field
• 5+ years of professional experience developing software applications
• Java/Scala experience required – Python experience a significant plus
• Highly motivated and willing to take ownership of high-impact projects upon arrival
• Prior hands-on experience with data platforms and technologies such as Delta Lake, Spark, Kubernetes, Kafka, ClickHouse, and/or Presto/Trino
• Experience building large-scale batch and streaming pipelines with strict SLA and data quality requirements
• Must possess excellent communication, analytical, and problem-solving skills
• Demonstrated experience working with diverse data sets and frameworks across multiple domains – financial data experience not required, but a strong plus
• Recent hands-on experience with AWS Cloud development, deployment and monitoring necessary
• Demonstrated experience working on an Agile team employing software engineering best practices, such as GitOps and CI/CD, to deliver complex software projects
• The ability to react quickly and accurately to rapidly changing market conditions, including the ability to quickly and accurately respond and/or solve math and coding problems are essential functions of the role

Please note that level/title will be determined upon the conclusion of the interview process. If you are a current student or recent graduate, please take a look at our Entry Level and Intern positions.

In addition to technical skillsets, Akuna values the unique perspectives people can bring to the table to collaboratively solve complex problems and drive Akuna forward. We want everyone to feel empowered to apply. We welcome your application and encourage you to take the first steps toward your future with us!

In accordance with Illinois Equal Pay Act, the minimum base salary starts at $145,000. Exact compensation offered may vary based on many factors including, but not limited to, the candidate’s experience, qualifications, and skill set. This role is also eligible for a discretionary performance bonus as part of the total compensation package and includes a comprehensive benefits package that may encompass employer-paid medical, dental, vision, retirement contributions, paid time off, and other benefits. The minimum base salary herein was determined in good faith by Akuna Capital LLC.

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.

We are seeking a Senior Software Engineer to join our Reference Data team in the Unified Platform (UP) organization as part of our efforts to build a mid-frequency platform. UP 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.

As a Senior Software Engineer on one of the Unified Platform teams, you'll be part of a tight knit team of software engineers working closely with internal users (analysts, quants, traders) to develop innovative systems that enable research and trading. You'll experiment with emerging technologies to process data at scale. You’ll wrestle a mountain of data into human understandable insights. 

We care deeply about preserving a respectful and diverse team culture. We are a group of polyglots and technologists always seeking to find the right tool for each problem, even if that means learning something new or reviving something old. We value business impact and outcomes over process, and we make decisions based on data. We strive to adapt quickly as business priorities change. 

What you’ll do in this role:

• Build and evolve data and platform capabilities that support mid-frequency trading research workflows
• Partner closely with internal customers to understand their needs and build intuitive self-service tools
• Develop software for large scale data acquisition, storage, accessibility, and visualization
• Design and operate scalable pipelines and platforms using modern "big data" and lakehouse patterns
• Improve reliability, observability, performance, and ergonomics across platform services
• Learn about market microstructure, financial instruments, and markets in which DRW participates or wants to participate in

This could be a good fit if you:

• Are motivated to solve hard problems with deceptively simple solutions
• Think a lot about user experience and try to really understand end users’ jobs and pain points
• Think a lot about APIs, modular design and testing
• Love refactoring and keep trying until you find a better answer
• Enjoy making the “right way to do it” the path of least resistance
• Have made a random tool for yourself…and then peers ask for it…then other teams ask for it…
• Are fiercely proud of your project’s reliability, performance and ease of maintenance

What we need on the team:

• 5+ years of platform-level software development experience
• Strong computer science fundamentals; a degree in Computer Science or equivalent work experience
• Financial market & reference data familiarity — understanding instrument IDs, feed normalization etc.
• Experience building research platforms and/or supporting mid-frequency trading environments
• Comfort working within a globally-distributed team
• A background in some of the following a bonus:
• Big data technologies: Spark, Delta Lake, Iceberg, Kafka, Airflow and/or Argo Workflows
• SQL and data warehousing/lake querying patterns
• Cloud-native deployments: AWS, Docker, Kubernetes
• Observability: Splunk, Prometheus, Grafana, Sentry

Location: This position is hybrid and can sit in Chicago, London, or New York City.

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-TL1] 

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.

We are seeking a Software Engineer to join our Unified Platform (UP) organization.  UP 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.

As a Software Engineer on one of the Unified Platform teams, you'll be part of a tight knit team of software engineers working closely with internal users (analysts, quants, traders) to develop innovative systems that enable research and trading. You'll experiment with emerging technologies to process data at scale. You’ll wrestle a mountain of data into human understandable insights. 

We care deeply about preserving a respectful and diverse team culture. We are a group of polyglots and technologists always seeking to find the right tool for each problem, even if that means learning something new or reviving something old.  We value business impact and outcomes over process, and we make decisions based on data.  We strive to adapt quickly as business priorities change. 

What you’ll do in this role:

• Develop tools to enable the business to rapidly embrace new opportunities in global markets
• Partner closely with internal customers to understand their needs and build intuitive self-service tools
• Develop software for large scale data acquisition, storage, accessibility, and visualization
• Work with a team to maintain and extend our global markets reach
• Learn about market microstructure, financial instruments, and markets in which DRW participates or wants to participate in

This could be a good fit if you:

• Are motivated to solve hard problems with deceptively simple solutions
• Think a lot about user experience and try to really understand end users’ jobs and pain points
• Think a lot about APIs, modular design and testing
• Love refactoring and keep trying until you find a better answer
• Enjoy making the “right way to do it” the path of least resistance
• Have made a random tool for yourself…and then peers ask for it…then other teams ask for it…
• Are fiercely proud of your project’s reliability, performance and ease of maintenance
• Are excited to learn about financial markets, trading, etc.

What we need on the team: 

• At least 2-3 years of platform-level software development experience
• Strong computer science fundamentals; a degree in Computer Science or equivalent work experience
• Strong experience with Java, Python or any modern programming language
• Experience processing high volumes of data at scale
• Excellent analytical and problem-solving skills
• Comfort working within a globally-distributed team
• A background in some of the following a bonus:
• Java experience
• Python experience
• Ruby experience
• Big data technologies: Spark, Trino, Kafka
• Financial Markets experience
• SQL: Postgres, Oracle
• Cloud-native deployments: AWS, Docker, Kubernetes
• Observability: Splunk, Prometheus, Grafana 

The annual base salary range for this position is $130,000 to $160,000 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-TL1] 

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] 

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.

We are seeking a Senior Software Engineer to join our Unified Platform (UP) team. UP 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. The UP-Finance team is responsible for building and operating the systems that underpin DRW's financial accounting, regulatory reporting, reconciliation, and cost basis infrastructure. This team is looking for application software developers who can help with our broad set of challenges.

What You'll Work On:

• Our systems span the full lifecycle from PnL calculation, general ledger classification, financial reporting and regulatory capital reporting. You'll work across a range of high-impact initiatives including:
  • Delivering on major regulatory, ERP, and financial reporting initiatives
  • Migrating infrastructure to Kubernetes and modernizing our deployment practices
  • Modernizing observability and monitoring across the finance platform
• You'll spend time upfront with accountants, financial analysts, and operations teams to deeply understand business problems, help stakeholders articulate requirements and test assumptions, then turn that into an architecture and a plan. You'll drive your project forward day-to-day, breaking big business requirements into shippable increments and delivering iteratively. This is not a role where you'll be handed detailed specs.
• You'll also spend time reviewing code, providing feedback on design documents, unblocking teammates, and participating in a support rotation.

You'll be right at home if:

• You break large, ambiguous problems into small increments and ship continuously.
• You care deeply about the business domain you work in. You want to understand why the numbers matter, not just how to move them through a pipeline.
• You're comfortable leading a project end-to-end: discovery, architecture, stories, implementation, deployment and support.
• You have strong opinions, loosely held. You challenge ideas constructively and welcome the same in return.
• You focus on reducing operational burden. You'd rather automate a problem away than manage it forever.
• You communicate complex technical topics clearly to both engineers and business partners, and you drive productive debates to resolution.

What we're looking for:

• 5+ years of professional software development experience
• Strength in at least one of Clojure or Python. We have a large Clojure codebase and a growing Python footprint across data pipelines. Experience with Ruby and PL/SQL is also valuable.
• Experience in the finance or accounting domain. You've worked with concepts like PnL, reconciliation, general ledger, regulatory reporting, or cost basis. You don't need to be a CPA, but you should be someone who leans into understanding the business.
• Strong system design skills. You can reason about architectural tradeoffs, distributed systems, and design for reliability and operability
• Solid understanding of relational databases: transactionality, indexing, performance tuning, and data modeling
• Experience building and operating production systems with modern infrastructure (containers, CI/CD pipelines, orchestration)
• A track record of mentoring engineers and contributing to engineering culture and the ambition to grow your technical leadership further

Even better if you bring:

• Deep Python expertise — data pipelines, scheduling, tooling. This is an opportunity to have outsized impact.
• Experience with Clojure or other Lisp-family languages
• Hands-on experience with observability tooling — structured logging, metrics, alerting, anomaly detection
• Familiarity with Oracle, Kafka, or Airflow
• Experience with Kubernetes, Docker, and infrastructure-as-code
• Background in reducing operational toil through automation and better system design

The annual base salary range for this position is $130,000 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-GV

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 a Senior Data Engineer on our Data Experience team, you will play an integral role in bringing vendor datasets into our data platform, governing our centralized data pipelines, consolidating data delivery infrastructure across disparate systems, and working alongside individual Traders, Quantitative Researchers, and Back-Office personnel to best utilize the firm’s data and platform tools.

Technical requirements summary:

• Have extensive experience designing and building data pipelines
• Have experience working within modern batch and streaming data ecosystems
• An expert in SQL and Java or Python
• Extensive knowledge of data modeling techniques
• Able to own the delivery of data products, working with analysts and stakeholders to understand requirements and implement solutions
• Able to contribute to project management and project reporting
• Have experience driving nontrivial data migrations across platforms
• Able to establish, follow, and enforce data modeling standards across a large ecosystem.

What you will do in this role:

• Model, build, and manage data products built atop DRW’s Unified Data Platform.
• Work closely with Data Strategists to determine appropriate data sources and implement processes that onboard and manage new datasets for trading, research, and back-office purposes.
• Design data governance processes that enable discovery, cost-sharing, usage tracking, access controls, and quality control of datasets to address the needs of DRW trading teams and strategies.
• Continually monitor data ingestion pipelines and data quality to ensure stability, reliability, and quality of the data. Design monitoring and quality control software and processes.
• Own the technical aspects of vendor ingestion pipelines, coordinating with vendor relationship managers on upcoming changes, performing routine data operations without breaking internal users, and contributing to the team’s on-call rotation to respond to unanticipated changes.
• Rapidly respond to user requests, identifying platform gaps, and self-service opportunities that make the user experience more efficient.

What you will need in this role:

• 7+ years of experience working with modern data technologies and building data-first products.
• Excellent written and verbal communication skills.
• Proven ability to work in a collaborative, agile, and fast-paced environment, prioritizing multiple tasks and projects, and efficiently handle the demands of a trading environment.
• Proven ability to deliver rapid results within processes that span multiple stakeholders.
• Strong technical problem-solving skills.
• Extensive familiarity with SQL and Java or Python, with a proven ability to develop and deliver maintainable data transformations for production data pipelines.
• Experience leveraging data modeling techniques and ability to articulate the trade-offs of different approaches.
• Experience with one or more data processing technologies (e.g. Flink, Spark, Polars, Dask, etc.).
• Experience with multiple data storage technologies (e.g. S3, RDBMS, NoSQL, Delta/Iceberg, Cassandra, Clickhouse, Kafka, etc.) and knowledge of their associated trade-offs.
• Experience with multiple data formats and serialization systems (e.g. Arrow, Parquet, Protobuf/gRPC, Avro, Thrift, JSON, etc.).
• Experience managing data pipeline orchestration systems (e.g. Kubernetes, Argo Workflows, Airflow, Prefect, Dagster, etc.), delving deeply into low-level details.
• Proven experience in managing the operational aspects of large data pipelines such as backfilling datasets, rerunning batch jobs, monitoring event throughput, and handling dead-letter queues.
• Prior experience triaging data quality control processes, correcting data gaps and inaccuracies.

The annual base salary range for this position is $200,000 to $250,000 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-TL1] 

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 Application Support Engineer on the Unified Platform Support team, you'll be part of a tight knit and expanding team of support analysts at a top tier proprietary trading firm. You will be working hand in glove with developers providing sophisticated research and compliance tools to the users across the firm. This role will likely appeal to technically minded members of support teams who want the freedom to dig deeper into issues and the code. 

For this role, we require you to be located in either Chicago, New York, Greenwich or Austin and come into the office 3 days per week.

The team you will be joining:

• Work with low latency financial market data and learn the intricacies of how market data feeds and electronic exchanges work
• Work with order data across a vast array of markets and asset classes
• Support systems processing that data for Surveillance and Regulatory Reporting functions
• Work with sophisticated analytics tools that are custom built by our team of developers
• Use the latest technology stacks such as AWS, Java 17, Python 3, HDF5, Kubernetes, Kafka and Argo
• Is globally distributed across Europe and North America supporting global systems.

Our team cares deeply about preserving a respectful and diverse team culture.  We believe in choosing the right tech for the job even if that means learning something new or reviving something old.  We value business impact and outcomes over process, and we make decisions based on data.  We strive to adapt quickly as business priorities change. 

 What you’ll do: 

• Operate key parts of a sophisticated data analysis pipeline
• Monitor and troubleshoot production jobs
• Monitor and work through list of data-related issues raised by the system, drilling into those requiring action, including looking into the code
• Consult with developers to determine appropriate courses of action and make suggestions for improvements to the system
• Monitor support channels and respond to user issues (2-10 per day)
• Provide L1 and L2 support for users and collaborate with developers on L3 support
• Onboard support processes for new development teams and applications as the support team continues to expand

What we’re looking for in this role:

• Previous experience supporting, monitoring, and troubleshooting high performance applications in the financial markets industry
• Experience supporting Linux environments
• Experience working with market data or order data systems
• Excellent analytical and troubleshooting skills
• Familiarity with transfer protocols for financial data (FIX, native protocols)
• Exposure to object orientated code. Java, and Python are a plus
• Familiarity with version control software (git or svn)
• Experience with cloud computing, AWS preferred
• SQL experience including queries/updates/table creation/basic database maintenance

The annual base salary range for this position is $130,000 to $165,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.

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

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

[#LI-SK1] 

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.

About the Team

The DRW C/FICCO Data Engineering team is essential to developing valuable datasets and scalable data infrastructure critical to our trading operations. We work closely with traders, researchers, and other engineering teams to ensure seamless data flow and accessibility, supporting data-driven decision-making. Our systems are designed to handle large volumes of data, maintain quality and integrity, and provide robust APIs for fast, ergonomic data retrieval.

About the Role

In this role you will:

• Collaborate with cross-functional teams to deliver data solutions that support diverse trading activities.
• Take full ownership of data products, guiding them from initial concept through to stable production.
• Design, build, and maintain systems for both batch processing and real-time streaming of time series datasets, ensuring high data quality and reliability.
• Develop APIs and data access methods for fast, intuitive retrieval of historical and live data, working with both new and existing systems.
• Provide on-call support as needed.

Qualifications:

• A minimum of 2+ years’ experience using at least one of Python, Java, and C++, and can work comfortably in multiple programming languages
• A track record of working directly with end customers, scoping and delivering production systems in fast-moving and ambiguous environments
• Ability to dive deep into complex problems, develop intuitive understandings, spot risks early, and minimize complexity
• Exceptional interpersonal skills - you communicate clearly with stakeholders as well as other engineers, fostering a collaborative, supportive working environment
• Experience in the financial markets, especially in delta one, store of value, and/or FICC options trading
• Experience with Linux-based, concurrent, high-throughput, low-latency software systems
• Experience with pipeline orchestration frameworks (e.g. Airflow, Dagster)
• Experience with streaming platforms (e.g. Kafka), data lake platforms (e.g. Delta Lake, Apache Iceberg), and relational databases
• Have a Bachelors or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experience

The annual base salary range for this position is $175,000 $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

FEQ327R95

Solutions Engineer

At Databricks, our core values drive everything we do; a culture of proactiveness and a customer-first mindset fuels our mission to create a unified platform that makes data science and analytics accessible to all. This role is part of our programmatic effort to develop promising field engineers—offering a launchpad for the next generation of data leaders. We aim to build leaders who will empower our customers to make informed decisions that propel their businesses forward. With our Data Intelligence Platform, we make it easy to turn insights into action while encouraging creativity, experimentation, and continuous improvement. You’ll play a key role in this mission, building upon your emerging technical skills in the area of solutions engineering, learn how to apply them in the Databricks platform and show customers how to tackle real-world data challenges.  Not just telling them what's possible, but building working prototypes and demos that prove it. You’ll join a collaborative, customer-obsessed team that thrives on innovation to help customers reach their goals. Come help us change how the world works with data—and shape your future while you're at it!

This will be an in-office role and candidates must be based in our Chicago, IL office. Relocation assistance will not be provided.

Recent graduate?: We’d love for you to explore our current internship openings on our careers page and submit your application for our roles designed for new college graduates.

The impact you will have:

• Form successful relationships with customers throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.
• Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple areas of architecture, design, and implementation to lead to the successful adoption of the Databricks Lakehouse platform.
• Adopt a builder-first approach: move quickly from customer problem to working prototype by writing code, building demos, and creating reusable assets that accelerate customer outcomes. Use AI tools to increase your productivity and drive innovation.
• Scale best practices in your field and support customers by authoring reference architectures, how-tos, demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.
• Grow your knowledge and expertise to the level of a technical and/or industry specialist.

What we look for:

• The ideal candidate has 2+ years of technical experience in a customer-facing solutions engineering role.
• Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or equivalent experience through work experience
• Demonstrates a builder mindset: preference for hands-on prototyping and learning-by-doing, with comfort using AI-assisted development tools to move faster
• Hands-on experience with Python, Java, or Scala, and proficiency in SQLExperience with Big Data technologies (Ex: Spark, Hadoop, Kafka) and architectures is a plus
• Aptitude to interact with customers confidently and professionally
• Can meet expectations for technical training and role-specific outcomes within 6 months of hire

More About Databricks

YouTube

Rewards Network is an Equal Opportunity Employer (EOE). We encourage and strongly support workplace diversity.

Rewards Network is an Equal Opportunity Employer (EOE). We encourage and strongly support workplace diversity.

Polar Operations LLC (dba IMC Markets) has multiple openings for Software Engineer- Data (REQ#4461663101) in Chicago, IL and Brooklyn, NY.

Your Core Responsibilities

• Implement software features and components for IMC's trading systems (25%).
• Design software solutions independently and make architectural decisions (10%).
• Debug and fix software issues in trading systems (5%).
• Identify complex multi-component issues, perform root cause analysis, and implement preventative solutions (5%).
• Ensure code quality and system reliability through comprehensive automated testing (10%).
• Contribute to the automated testing framework, own critical trading system components and ensure reliability, performance, and scalability across regions (5%).
• Participate in code reviews (10%).
• Monitor system performance and trading operations (5%).
• Collaborate with traders and other teams to understand requirements and deliver solutions (10%).
• Participate in planning, estimate complexity of tasks, and help balance technical debt with feature development (5%).
• Participate in planning, estimate complexity of tasks, and help balance technical debt with feature development (5%).
• Mentor and guide junior developers and interns, helping them understand IMC's systems and development practices (10%).

Partial telecommuting permitted. Multiple positions available Requisition Number: 4461663101

Your Skills and Experience

This position requires a Bachelor's degree, or foreign equivalent, in Computer science, Computer Engineering, or a similarly quantitative and technical field and one (1) year of experience in the job offered or a related occupation.

• Must have at least one (1) year of experience in each of the following skill(s):
• Applying analytical and engineering techniques to solve complex problems programmatically;
• Programming with Java, C/C++, or Python;
• Developing and implementing algorithms and data structures;
• Software development lifecycle and best practices;
• Designing and developing software applications in a collaborative, cross-functional environment;
• Experience building Kafka streaming applications and maintaining Kafka clusters;
• Experience building applications/pipelines with Big Data backends (such as S3, HDFS, Databricks, or Iceberg);
• Experience with Apache Spark or Apache Flink; (9) Experience with common data-science toolkits;
• Experience with Kubernetes and Docker;
• Experience with monitoring tools such as Prometheus/Grafana, Alert Manager, Alerta and OpsGenie; and
• Unix scripting experience (such as bash or python).

#LI-DNI

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

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

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

What you’ll do:

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

What You’ll Get

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

In addition, you’ll receive:

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

Who you are:

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

Who we are:

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

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

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

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

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

What you’ll do:

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

What You’ll Get

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

In addition, you’ll receive:

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

Who you are:

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

Who we are:

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

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

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 We Do

• The Omnichannel team at The Trade Desk is pioneering a new approach to digital advertising — one built around telling a coherent story through ads, using the media best suited for each chapter. We work across the full ad tech stack, from identity to measurement to bidding, to deliver unified campaign experiences that span screens, formats, and moments. Our Software Engineers are end-to-end owners who participate in designing, building, and delivering data-focused products for our stakeholders.

What You'll Do

• Design and build systems that orchestrate advertising across channels, ensuring a unified narrative from first impression to conversion.

• Work across team boundaries — partnering with identity, measurement, and bidding teams to integrate their capabilities into cohesive omnichannel solutions.

• Own projects end to end, from early design through production rollout and ongoing operation.

• Translate ambiguous business requirements into concrete technical designs and execution plans.

• Deliver high-quality changes with automated tests, metrics, and monitoring.

• Collaborate with product managers and business stakeholders to define what success looks like and drive toward it.

• Mentor other engineers and contribute to a culture of trust, ownership, and technical excellence.

Who You Are

• You're comfortable owning things end to end — from scoping a problem to shipping and operating the solution.

• You communicate clearly with both technical and non-technical audiences, and you're effective working across teams with competing priorities.

• You thrive in ambiguity. Vague requirements don't slow you down — you translate them into actionable plans and iterate toward the right answer.

• You have 7+ years of software development experience.

• You have strong experience with distributed systems and backend development in a language such as C#, Java, or Python.

• You have a solid understanding of computer science and engineering fundamentals.

• You're comfortable working on an agile, distributed team spanning multiple time zones.

Nice to Have

• Experience with large-scale data processing (Spark, Airflow, Kafka, Flink).

• Familiarity with cloud infrastructure and orchestration tools (Kubernetes, Terraform).

• Experience in ad tech or with real-time bidding systems.

• Exposure to cross-channel measurement or identity resolution.

How you will make an impact:

You’ll work as a member of Team Q. Team Q manages Iterable technologies and libraries powering the myriad of queueing problems across Iterable.  At peak parts of the day these queues reach nearly 1 million publishes a second! Team Q is building towards continuously enriching self-service platforms that allow every Iterable team to plug into this high scale torrent of messages - seamlessly. 

As a Senior Software Engineer on Team Q at Iterable, you'll have the opportunity to direct how we support massive real-time traffic ensuring fairness and predictability for our customers.

Your work will include designing and implementing our next-generation queueing library, including how we dynamically prioritize incoming traffic and schedule+predict long-running workloads. You’ll work closely across teams in Iterable to understand our rich set of queueing use cases to help form the solutions on the team roadmap.

We believe in a strong, friendly engineering culture and value personal and professional growth. You'll get to work on what you like and one of our explicit goals as a team is to build a uniquely fun and growth-oriented culture. Our team of hackers and thinkers is small, lean, and empathetic.

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.

How you will make a difference:

• Design and build libraries to accelerate the building of Customer Products
• Build products to gracefully handle widely varying traffic patterns in queues
• Collaborate with a small and nimble engineering team
• Identify and resolve performance bottlenecks

We are looking for people who:

• Experience designing, developing, and operating asynchronous systems
• Experience with queueing technology (RMQ, SQS, Kafka, etc)
• Proficiency  in at least one modern programming language (we use Scala)
• A passion for developer experience
• Passion for learning and a team player

Bonus Points

• Experience managing operations in datastores used in services
• Experience with Scala ZIO and reactive domain modeling
• Contributor to a queueing technology

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.

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.

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

RAPP Chicago is looking for a Senior DevOps Engineer to join our award-winning Technology team.

WHO WE ARE:

We are RAPP – world leaders in activating growth with precision and empathy at scale.

As a global, next-generation precision marketing agency we leverage data, creativity, technology, and empathy to foster client growth. We champion individuality in the marketing solutions we create, and in our workplace. We fight for solutions that adapt to the individual’s needs, beliefs, behaviors, and aspirations.



We foster an inclusive workplace that emphasizes personal well-being.

HOW WE DO IT:

At RAPP, our fearless superconnectors help to create value from personal brand experiences by focusing on three key areas: connected data, connected content and connected decisioning.


Our data analysts identify who that person is, our strategists understand what they want, and our award-winning technologists and creatives know how to deliver it – ensuring we’re able to activate authentic customer connections for our clients.


Part of Omnicom’s Precision Marketing Group, RAPP is comprised of 2,000+ creatives, technologists, strategists, and data and marketing scientists across 15+ global markets

YOUR ROLE:

 As a Sr. DevOps Engineer, you serve as a key player in Technology solutions for our clients and within the agency. You work with the Infrastructure Automation and Tools team (IAT) in implementing tools and infrastructure that facilitates efficient software development/ process and operations.  From setting up a continuous integration/delivery environment to speeding up software deployment and release process, to maintenance of the cloud infrastructure.

YOUR RESPONSIBILITIES:

• Accountable for communicating the DevOps best practices with other development teams and helping them in the implementation thereof.
• Dedicate at least 50% of time automating systems and processes.
• Work with IAT Engineers in the implementation of infrastructure, security and tools that are needed for delivery of software applications and services.
• Work with IAT Lead in analyzing, executing, and streamlining DevOps practices.
• Introduce new tech stacks for experimentation while maintaining a controlled delivery process.
• Research and investigate technology solutions, demonstrate their efficiency by putting together proofs of concept and sharing these with the team.
• Thoroughly research and troubleshoot technical issues. Derive pragmatic, effective solutions, resolve issues, and document the resolutions.
• Implement infrastructure and security solutions on the cloud, and help service them long-term

REQUIRED SKILLS:

• 7+ years of experience in an infrastructure, development, architecture, and operations role.
• Demonstrated experience implementing DevOps solutions for a complex cloud native environment.
• Hands on experience with CI/CD tools such as Jenkins, CodeCommit, CodeBuild, CodeDeploy or equivalent.
• Hands on experience deploying infrastructure with IaC such as Cloudwatch or Terraform.
• Hands on implementation of a Cloud Native environment using AWS; familiarity with GovCloud would be a bonus.
• Strong experience with deploying services through IaC such as AWS RDS, EC2, ECS/EKS, S3, API Gateway, Bastion Hosts, messaging (Kafka), identity and security management (IAM, Cognito, Okta etc.), Configuration and Secret Management (Secrets Manager, Config, SSM, KMS etc.).
• Strong development experience with Python or similar shell scripting language
• Experience with networking and CIDR management and troubleshooting.
• Experience with declarative configuration management tool(s) like Chef, Salt, Puppet, etc.
• Experience with infrastructure automation using tools like Terraform, CloudFormation, etc.
• Experience with and belief in SCRUM/Agile methodology.
• Ability to work collaboratively with developers, project managers, and a QA team to enable them in the development process.
• Able to thrive independently given direction and objectives.
• Strong requirements gathering skills and creative problem solving.
• Personal drive to meet deadlines and deliverables is a must.
• Excellent oral and written communication skills.
• Effective team leadership skills to inspire them to achieve goals through innovation, quality and excellence.
• Recognizes the value that different perspectives and cultures bring to an organization and seeks to understand those different perspectives and cultures.
• Contributes to a work culture where differences are valued and supported.

Our hybrid work model:

RAPP's current hybrid model is designed to enable in-person connections and collaboration that is core to our culture, while also supporting flexibility for all employees. As such, we have the option to work from home two days per week, if we'd like. 

RAPP provides a competitive salary and comprehensive benefits plan. Benefits for this role include health/vision/dental insurance, 401(k), stock options, Healthcare & Dependent Flexible Spending Accounts, vacation, sick, and personal days and positive activism days, paid parental leave and disability benefits. For more information regarding Omnicom benefits, please visit www.omnicombenefits.com. A reasonable estimate of the salary for this role, at the time of posting, is $135,000 - $162,000. This range is specific to Chicago and multiple factors are considered in making compensation decisions including, but not limited to: skill set, experience and training, certifications; etc. This is an exempt position. If your requirements fall outside of this range, you are still welcome to apply.

“As an EEO/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, veteran status.”

NOTE:  This job description is not intended to be all-inclusive. Employee may perform other related duties as negotiated to meet the ongoing needs of the organization.

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.

Why project44?  

At project44, we believe in better.  

We challenge the status quo because we know a better supply chain isn’t just possible—it’s essential. Better for our customers. Better for their business. Better for the world.  With our Decision Intelligence Platform, Movement, we’re redefining how global supply chains operate. By transforming fragmented logistics data into real-time, AI-powered insights, we empower companies to connect instantly, see clearly, act decisively, and automate intelligently. Our Supply Chain AI enhances visibility, drives smarter execution, and unlocks next-gen applications that keep businesses moving forward.  Headquartered in Chicago, IL with a 2nd HQ in Bengaluru, India we are powered by a diverse global team that is tackling the toughest logistics challenges with innovation, urgency, and purpose.  If you’re driven to solve meaningful problems, leverage AI to scale rapidly, drive impact daily, and be part of a high-performance team – we should talk. 

We’re hiring a technical, hands-on Product Manager to scale ML-powered products (ETA, risk, anomalies/exceptions, network insights) while building Data Science as a Platform—reusable capabilities that accelerate model development, deployment, monitoring, and governance across multiple product areas. 

You’ll partner daily with Data Science, ML Engineering, Data Engineering, Platform Engineering, and Product teams to ship production ML and establish repeatable, measurable ML delivery. 

Key Accountabilities

• Own the roadmap for applied ML capabilities beyond ETA (risk scoring, exception prediction, anomaly detection, carrier/network performance insights), from discovery to launch and iteration. 
• Define and deliver a DS/ML platform: feature management, experimentation, model registry, deployment patterns, monitoring/observability, governance, and self-serve tooling. 
• Translate customer workflows into ML problem statements: labels/targets, constraints, SLAs, interpretability, and “do no harm” launch gates. 
• Drive evaluation and experimentation: offline metrics/back testing, online testing (A/B, holdouts), and measurable business impact. 
• Partner with engineering on batch + real-time inference architectures, streaming/event-time feature needs, and reliability (SLOs, incident playbooks). 
• Establish and track platform success metrics: time-to-first-model, deployment frequency, reuse rate, model performance stability, incident rate, and ROI.

Minimum Qualifications

• 5–8+ years Product Management experience with 3–4+ years focused on DS/ML-driven products (or equivalent) 
• Demonstrated ability shipping end-to-end ML systems to production and iterating based on outcomes 
• Strong technical fluency across the ML lifecycle (data → features → training → serving → monitoring → retraining) 
• Ability to operate between Sr and Principal: sets direction, aligns stakeholders, and drives execution across multiple teams 
• Excellent written communication (PRDs, decision docs) and crisp cross-functional leadership 
• In-office Commitment: Employees are expected to contribute to our collaborative culture by working in the office Four days weekly

Technical skills (experience with many of the following) 

• SQL (strong) and working knowledge of Python / notebooks / data analysis workflows 
• Data platforms: Snowflake / BigQuery / Redshift / Databricks (Delta Lake) 
• Orchestration & ETL: Airflow / Dagster / Prefect, dbt, Spark 
• Streaming/event systems: Kafka / Kinesis / Flink 
• MLOps: experiment tracking/model registry (MLflow / Weights & Biases), pipelines (Kubeflow / SageMaker Pipelines / TFX / Flyte/ Tensor flow), serving (SageMaker / Vertex AI / Databricks Model Serving / KServe / BentoML) 
• Feature stores: Feast / Tecton /  SageMaker Feature Store 
• Monitoring/observability: Arize / WhyLabs / Evidently + Prometheus/Grafana/Datadog 
• Platform fundamentals: Docker/Kubernetes, API design (REST/gRPC), SLAs/SLOs, security & PII basics 
• LLMs/GenAI (RAG, embeddings, vector DBs like Pinecone/Weaviate/Milvus), evaluation + guardrails 

Preferred 

• Experience in logistics / supply chain / transportation or other high-volume operational domains 
• Familiarity with geospatial/event-time data, carrier APIs/EDI, entity resolution, and enterprise exception workflows 
• Platform product experience with internal “developer” customers and adoption metrics 

Diversity & Inclusion

We're designing the future of how the world moves and is connected through trade and global supply chains. We can only deliver a truly world-class product and experience if our teams are as diverse and unique communities we are building for. So it's up to us to create a company where anyone can bring their authentic self to work everyday. We're constantly working to improve, and we accept our responsibility to elevate the voices left in the margins. It's on every one of us.

Our focus on inclusion manifests in the way we hire, the customers we serve, and the regions we prioritize. We're building a company that every one of us at project44 is proud to work for: a company that celebrates you for being you.

We pride ourselves on celebrating everyone — project44 is an equal opportunity employer actively working on creating a diverse and inclusive work environment where underrepresented groups can thrive. If you share our values and our passion for helping the way the world moves, we’d love to review your application!

For any needed accommodations during the hiring process, please email recruiting@project44.com. Even if you don’t meet 100% of the above qualifications, you should still seriously consider applying. Studies show that you can still be considered for a role if you meet just 50% of the role’s requirements.

Why project44?  

At project44, we believe in better.  

We challenge the status quo because we know a better supply chain isn’t just possible—it’s essential. Better for our customers. Better for their business. Better for the world.  With our Decision Intelligence Platform, Movement, we’re redefining how global supply chains operate. By transforming fragmented logistics data into real-time, AI-powered insights, we empower companies to connect instantly, see clearly, act decisively, and automate intelligently. Our Supply Chain AI enhances visibility, drives smarter execution, and unlocks next-gen applications that keep businesses moving forward.  Headquartered in Chicago, IL with a 2nd HQ in Bengaluru, India we are powered by a diverse global team that is tackling the toughest logistics challenges with innovation, urgency, and purpose.  If you’re driven to solve meaningful problems, leverage AI to scale rapidly, drive impact daily, and be part of a high-performance team – we should talk. 

Description:   

project44 is looking for a Senior Software Engineer - Backend to join our engineering team. You will work in a fast-paced Agile environment designing, building, and implementing best-in-class integrations to accelerate how project44 connects to the world’s logistics networks.  

Key accountabilities: What you’ll work on

• Design, build, and operate backend systems that power decision intelligence capabilities, using AI and analytics to help customers make informed, timely, and confident supply chain decisions
• Build services and workflows that reduce manual effort and enable action, empowering customers to collaborate more effectively with carriers and partners across the supply chain
• Own and modernize core platform services, such as identity and access management (IAM) and search infrastructure, ensuring they remain secure, scalable, and extensible as new decision intelligence capabilities are introduced
• Transform large-scale logistics data into actionable insights and outcomes, supporting use cases such as recommendations, decision support, and automated actions
• Partner closely with product, data, and design to translate ambiguous customer problems into well-scoped, scalable technical solutions
• Build and operate systems on Google Cloud Platform (GCP), leveraging managed services to deliver reliable and scalable backend solutions
• Take shared ownership of development, testing, deployment, and operations for the systems owned by your team
• Participate in a team on-call rotation, debugging and resolving issues across your team’s services
• Improve observability, monitoring, and operational tooling to ensure system reliability and a strong on-call experience
• Contribute to technical design discussions, code reviews, and documentation, helping set a high bar for quality and maintainability within the team
• Mentor and support other engineers through code reviews, pairing, and technical guidance

Qualities

• Strong communication skills, with the ability to clearly explain technical decisions through design docs, discussions, and reviews, and collaborate effectively with both technical and non-technical partners
• A strong analytical approach to problem-solving, with comfort navigating ambiguity and making tradeoffs explicit
• A sense of ownership, curiosity, and resilience - comfortable voicing ideas, incorporating feedback, and iterating toward better solutions

Qualifications

• 4+ years of professional experience building large-scale, cloud-based systems
• Strong programming and debugging skills with proficiency in Java

Experience in:

• Designing and building scalable Java-based microservices
• Designing and consuming APIs and web services (REST, OpenAPI/Swagger)
• Working with databases, including NoSQL and/or relational databases (e.g., MongoDB, DynamoDB, Postgres, or similar)
• Working in an Agile software development environment
• Using AI-assisted development tools for code generation, refactoring, and debugging (e.g., Cursor, Claude, GitHub Copilot, or similar)
• Integrating AI-assisted workflows into daily development while maintaining high standards for code quality, security, and correctness

Desirable and helpful (but not necessary) are experience in:

• Building event-driven systems and stream-processing pipelines (Kafka, Kinesis, or similar)
• Containerization and orchestration (Docker, Kubernetes)
• Designing or working with agentic AI systems, including multi-step or autonomous LLM-powered workflows
• Familiarity with agentic AI frameworks or patterns (e.g., task planning, tool invocation, stateful agents, workflow orchestration)
• Building platform or framework-level solutions that enable AI-driven automation and decision-making

Work Authorization: Candidates must be authorised to work in the US without current or future employer-sponsored visa support.

In-office Commitment: Our office is where ideas spark, connections thrive, and innovation comes alive. We are looking for candidates who are enthusiastic and committed to joining our team on-site, in our beautiful headquarters Three days a week. Together, we’re building something extraordinary—learn, grow, and thrive in our fast-paced, transformative environment.

Diversity & Inclusion 

At project44, we're designing the future of how the world moves and is connected through trade and global supply chains. As we work to deliver a truly world-class product and experience, we are also intentionally building teams that reflect the unique communities we serve. We’re focused on creating a company where all team members can bring their authentic selves to work every day. 

We’re building a company that every one of us at project44 is proud to work for, and our journey of becoming a more diverse, equitable and inclusive organization, where all have a sense of belonging, is shaped through the actions of our leadership, global teams, and individual team members. We are resolute in our belief that each team member has an equal responsibility to mold and uphold our culture. 

project44 is an equal opportunity employer seeking to enrich our work environment by creating opportunities for individuals of all backgrounds and experiences to thrive. If you share our values and our passion for helping the way the world moves, we’d love to review your application! 

For any accommodation needed during the hiring process, please email   recruiting@project44.com. Even if you don’t meet 100% of the above job description you should still seriously consider applying. Studies show that you can still be considered for a role if you meet just 50% of the role’s requirements. 

More about project44 

Since 2014, project44 has been transforming the way one of the largest, most important global industries does business. As transportation and logistics continue to evolve and customer expectations around delivery become more demanding, industry technology must rise to the occasion. In just a few short years, we have created a digital infrastructure that eliminates the inefficiencies caused by dated technology and manual processes. Our Advanced Visibility Platform is used by the world’s leading brands to track shipments, collaborate with supply chain partners, drive operational efficiencies, and create outstanding customer experiences. 

About Attain

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

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

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

Attain Office Hybrid Schedule (where applicable): 

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

You’ll be a great fit for the role if

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

What your day to day will look like

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

Preferred Qualifications

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

We’re excited to hear from you. 

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

About Attain

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

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

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

Attain Office Hybrid Schedule (where applicable): 

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

You’ll be a great fit for the role if

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

What your day to day will look like

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

Preferred Qualifications

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

We’re excited to hear from you. 

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

We’re looking for a hands-on, entrepreneurial Trading Engineer to join our Strategy Development team. This role sits at the heart of IMC’s trading operation, where technology, data, and market strategy meet. You’ll own systems that power our trading strategies, build automations that make us faster and smarter, and keep our trading running smoothly under pressure.

This is an ideal opportunity for someone with an SRE or operations engineering background who wants to get closer to the action, where milliseconds matter and creativity drives impact.

What You’ll Do:

• Be on the front lines of trading: Monitor system health and performance in real time, respond to market-driven incidents, and ensure our systems stay up and fast during trading hours. Dive deep into distributed architectures to identify root causes and prevent recurrences.
• Engineer away the pain: Build tools and automations that eliminate manual processes, scale our reliability, and free time for innovation.
• Collaborate across disciplines: Partner with traders, quants, and developers to deliver high-impact improvements to our trading stack.
• Continuously improve: Challenge existing processes, propose creative solutions, and drive reliability and performance through engineering excellence.

What You Bring:

• Bachelor’s degree in Computer Science, Information Technology, or related field
• 3+ years in site reliability, systems engineering, or technical operations, ideally supporting high-performance or real-time systems
• Strong scripting and automation skills (Python and Bash required)
• Hands-on experience managing production Linux and Kubernetes environments
• Familiarity with Prometheus, SQL/MongoDB, InfluxDB, Kafka, or similar technologies
• A proactive, problem-solving mindset. We are looking for someone who thrives under pressure and enjoys learning new systems quickly
• Excellent communication skills and a collaborative spirit

Why It’s Exciting:

You’ll be part of a tight-knit team that drives the heartbeat of trading, where your code and decisions directly influence market performance. You’ll gain exposure to both engineering and trading strategy, work alongside exceptional technologists and traders, and have the freedom to build, automate, and innovate in a fast-paced, impact-driven environment.

#LI-DNP

Data Solutions Architect

We are looking for a Data Solutions Architect to join our Data Solutions team! 

As a Data Solutions Architect, you’ll be responsible for pre-sales, estimation, scoping, designing, implementing, and testing proposed modern analytic solutions.  Working closely with our client partners, you’ll develop relationships with key technical resources while delivering tangible business outcomes. 

Ideal candidates will be able to: 

• Manage the Data engineering lifecycle including research, proof of concepts, architecture, design, development, test, deployment, and maintenance 

• Ability to collaborate with team members to design and implement technology that aligns with client business objectives 

• Ability to build proof of concepts for a modern analytics stack supporting a variety of Cloud-based Business Systems for potential clients 

• Experience working with ETL/ELT technologies such as Azure Data Factory, Fivetran, Snowflake OpenFlow, Apache NiFi  and other similar ETL/ELT tools 

• Experience working with analytic technologies such as Power BI, Tableau, Sigma, Omni, Looker and other similar analytic tools 

• Experience working with cloud enabled data repositories such as Snowflake, Amazon Web Services, Microsoft Azure, and/or Google Cloud Platform. 

• Team management experience and ability to manage, mentor and develop talent of assigned junior resources 

• Ability to create actionable recommendations based on identified platform, structural and/or logic problems 

• Ability to communicate and demonstrate a clear understanding of client business needs, goals, and objectives 

• Ability to collaborate with other practices on Solution Proposals, Pre-Sales Activities, Estimation, Scoping and Solutions 

Qualifications: 

• 5+ years’ experience developing industry -leading business intelligence and analytic solutions 

• 5+ years of experience writing Business requirements, Use cases and/or user stories, preferably for data warehouse or data mart initiatives 

• 5+ years of SQL development including advanced analytic functions 

• 3+ years of consulting experience working on project-based delivery using Software Development Life Cycle (SDLC) 

• 4+ years of experience with relational databases (Postgres, SQL Server, Oracle, Snowflake, and Azure Synapse Analytics, etc.) 

• 3+ years of experience creating functional test cases and supporting user acceptance testing 

• 3+ years of experience in Agile/Kanban/DevOps Delivery 

• Outstanding analytical, communication, and interpersonal skills 

• Ability to manage projects and teams against planned work  

• Responsible for managing the day-to-day client relationship on projects  

• Ability to support sales cycles by leading orals sessions along with building POC solutions for clients  

• Ability to travel 

Preferred Skills: 

• SnowPro certification 

• 5+ years experience developing in Snowflake, AWS, Azure, GCP or similar cloud data platform 

• 3+ years of experience with modern tech stack tools such as Jenkins, Kafka, Messaging, Kubernetes 

• Solid understanding of data architecture, data modeling, statistics, data science and data infrastructure ecosystems 

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

About Attain

Built for consumers and companies, alike

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

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

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

About the Role

As a Senior/Staff Site Reliability Engineer, you will play a critical role in building out and maintaining the infrastructure that powers all of our systems, as well as all of the supporting tools to ensure that those systems are running smoothly. You will work closely with nearly every engineering team at Attain, in helping to ensure that our systems are operating at peak efficiency, and preparing us to handle the scale of our future growth.

Attain Office Hybrid Schedule (where applicable): 

• Redwood City, CA: Mondays (in-office for stand-ups, all-hands) and choice of three days between Tues-Friday
• Chicago, IL & New York, NY: 4 days in-office; 1 day remote

What a typical week might look like

• Write Terraform modules for deploying infrastructure resources via our GitLab pipelines
• Develop Helm charts for deploying services and jobs in our Kubernetes cluster
• Define metrics, network policies, and routing rules for our Istio service mesh
• Monitor and maintain our GCP BigQuery and Spanner databases
• Pipe metrics to our Google-managed Prometheus instance and build out Grafana dashboards and alerts to increase visibility on our systems
• Experiment with GCP offerings, 3rd party vendors, and open-source tools to further automate and secure day-to-day operations
• Leverage latest and greatest LLM models in developing infrastructure and tooling
• Pair with engineering leads to instrument and monitor critical functionality
• Add automation to both existing and new systems to reduce our reliance on manual processes
• Participate in architecture design and capacity planning discussions to ensure that our systems are scalable, maintainable, reliable, and secure
• Build, maintain, and improve our CI/CD pipeline

You’ll be a great fit for the role if

• You are comfortable wearing many hats
• You have a willingness to learn and teach in a fast-paced, collaborative environment
• You have a strong desire to automate things
• You readily provide constructive feedback, and also proactively seek feedback to improve yourself
• You like to get your hands dirty and tinker with/stress test new technologies

Preferred Qualifications

• 6+ years of experience building and maintaining large-scale cloud-native infrastructure (AWS and/or GCP)
• Experience working with the containerization technologies Docker, Kubernetes, and Istio or a similar service mesh technology
• Experience with SQL database technologies such as MySQL,Google BigQuery, and Google Spanner
• Experience with stream technologies such as Kafka and Amazon Kinesis
• Experience with pub sub technologies such as AWS SNS and Google Pub/Sub
• Experience with serverless computing technologies such as AWS Lambda and Google Cloud Functions/Google Cloud Run
• Experience with infrastructure-as-code tools such as Terraform
• Experience with observability tools such as Datadog, Prometheus, and Grafana
• Strong computer science and software engineering fundamentals
• Experience with SOC2 Compliance processes and requirements

We are excited to hear from you. 

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

About this position:

We’re looking for a deeply technical, strategically minded Domain Architect to lead the next evolution of our platform architecture. In this role, you’ll rapidly assess our existing systems, define convergence opportunities between key domains, and shape the integration strategy that drives scalability, velocity, and long-term technical excellence. You’ll bridge product, engineering, and data to define clear domain boundaries, establish technical standards, and guide the modernization of our architecture—ensuring we balance innovation with business impact.

This role is ideal for an experienced architect who thrives in fast-moving environments, understands the trade-offs between pragmatism and purity, and can translate complex technical concepts into clear, actionable decisions across teams.

What you'll be doing:

Strategy

• Evaluate and define the target-state domain architecture across multiple products, identifying convergence opportunities and technical debt reduction paths.
• Design and lead a scalable integration strategy between heterogeneous systems (e.g., Rails <-> Node/React Native via APIs, Kafka, or event streams).
• Define domain boundaries and service ownership models that enable sustainable growth and platform flexibility.
• Partner with Product and Engineering leadership to align architectural priorities with product roadmaps and business outcomes.
• Lead cross-functional discussions on modernization strategy, balancing short-term delivery with long-term scalability.

Technical/ Execution

• Decompose monolithic applications (Rails, Django, Laravel) into domain-based services or bounded contexts, using domain-driven design principles.
• Define integration and data synchronization patterns between distributed systems, ensuring schema evolution and API versioning best practices.
• Architect core platform services—authentication, identity, content, and analytics—shared across web and mobile products.
• Apply deep hands-on knowledge of AWS (EC2, ECS/EKS, Lambda, S3, RDS/Postgres, EventBridge/SNS/SQS) and IaC tools (Terraform, CloudFormation).
• Introduce observability, monitoring, and CI/CD standards (Datadog, OpenTelemetry, GitHub Actions, CircleCI) that support secure, high-quality releases.
• Provide technical mentorship and architectural reviews to ensure strong engineering standards and knowledge transfer across teams.

Team / Collaboration

• Partner with Product, Design, and Engineering leaders to guide architecture decisions that optimize both user experience and technical sustainability.
• Contribute to architecture guilds and domain working groups, defining shared frameworks and principles for system evolution.
• Communicate architectural trade-offs clearly—speed vs scalability, build vs buy, monolith vs microservice—to technical and non-technical stakeholders.
• Author and socialize Architecture Decision Records (ADRs), domain maps, and shared service contracts to ensure alignment and transparency.
• Act as a trusted advisor and mentor to senior engineers, promoting best practices in distributed system design and software craftsmanship.

Leadership

• Lead by influence across engineering teams, setting a high bar for architectural rigor, documentation, and technical collaboration.
• Champion scalable, pragmatic engineering principles that accelerate business velocity while building for the future.
• Drive the adoption of a modern technical culture—balancing innovation, quality, and accountability.

Research/Best Practices

• Stay current on evolving architectural paradigms (domain-driven design, event-driven systems, microservices, and data mesh patterns).
• Introduce architectural innovations and tools that improve developer efficiency, code quality, and system observability.
• Conduct architecture reviews and share learnings company-wide to foster continuous improvement and technical excellence.

What success looks like:

• Clear domain boundaries and service ownership models are defined and adopted across engineering teams.
• Integration patterns between systems are reliable, documented, and scalable, supporting faster feature delivery.
• Architecture decisions are data-informed, balancing speed, cost, and technical debt effectively.
• The engineering organization demonstrates improved velocity and reduced friction between teams.
• Foundational technical debt reduction and modernization initiatives are underway, with measurable impact on reliability and maintainability.
• You’re seen as a collaborative, trusted technical leader who bridges architecture and product strategy seamlessly.

What you bring:

• 10+ years of progressive software engineering experience, with at least 3+ years in a senior or principal architecture role.
• Proven expertise designing and evolving architectures in high-scale, multi-product environments (Rails, Node.js, React Native preferred).
• Deep understanding of domain-driven design (DDD), service decomposition, and event-driven patterns.
• Strong AWS architecture experience (ECS/EKS, Lambda, RDS, S3, EventBridge, SQS/SNS) and infrastructure-as-code (Terraform, CloudFormation).
• Demonstrated ability to modernize legacy systems incrementally, driving results without full rebuilds.
• Solid understanding of data synchronization, API design, schema evolution, and distributed systems reliability.
• Experience defining and implementing CI/CD pipelines, observability stacks, and deployment strategies (canary, blue-green, multi-env).
• Excellent communication and stakeholder management skills, with the ability to simplify complex ideas for diverse audiences.
• Passion for mentorship, system design, and building architectures that enable product and team growth.

How you work: 

Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear.

Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights.

Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast—challenging the status quo with a mindset of improvement.

Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive—removing roadblocks, sharing insights, and keeping morale high.

Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth.

Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity.

Our approach to compensation:

We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.

Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only.

To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted. 

Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package.

Salary Range: 

$200,000 - 230,000 OTE

#LI-Hybrid