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] 

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

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

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

 What You Will Be Doing: 

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

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

What We'll Expect From You:

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

Extra Credit: 

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

Compensation Range: 

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

*This is a remote role

JR: 2026-7695

#LI-Remote

We are looking for a Customer Success Engineer, Database who is passionate about cloud infrastructure, database technologies, and delivering exceptional customer experiences, while providing high-touch, white-glove support to strategic accounts.

As a Customer Success Engineer at DigitalOcean, you will join a dynamic team dedicated to supporting and empowering customers to successfully run their workloads on our platform. You will work closely with customers to troubleshoot issues, optimize database performance, and guide them in adopting best practices across managed databases and cloud infrastructure.

In this role, you will build strong technical depth across database systems and DigitalOcean products while developing your ability to handle increasingly complex customer scenarios. You will collaborate cross-functionally with Product and Engineering to ensure seamless customer outcomes. This role reports to the Manager, Customer Success Engineer.

What You'll Do

• Deliver hands-on technical support for database and cloud infrastructure issues across technologies such as MySQL, PostgreSQL, Valkey (Redis), MongoDB and Clickhouse, with exposure to cloud-native and Kubernetes environments
• Diagnose and resolve production issues impacting database performance, availability, replication, backups, and connectivity
• Guide customers in designing scalable, reliable, and high-performing database architectures on DigitalOcean
• Collaborate with senior engineers and stakeholders to support onboarding, migrations, customer success, and the resolution of complex escalations.
•  on complex escalations, contributing to root cause analysis and resolution
• Analyze customer architectures to identify improvement opportunities and recommend best practices
• Participate in incident response and on-call rotations to support critical customer issues
• Contribute to team growth through case reviews and knowledge sharing, while developing and maintaining technical documentation and playbooks to drive continuous improvement.
• Advocate for customer feedback to influence product improvements and platform enhancements
• Identify opportunities to leverage automation and AI tools to streamline support workflows, reduce manual effort, and improve response quality.
• Use monitoring and observability tools to diagnose performance bottlenecks and system behavior.

Key Metrics

• Customer Satisfaction (CSAT)
• Time to Resolution / SLA adherence
• Escalation quality and resolution effectiveness
• Documentation and knowledge base contributions
• Customer adoption of best practices

What You'll Add to DigitalOcean

Required Experience & skills

• 2–5 years of experience in technical support, DevOps, cloud engineering, or similar roles
• Hands-on experience with some of the major database systems (e.g., PostgreSQL, MySQL, Redis, MongoDB, Clickhouse), with some familiarity across Kafka and others.
• Strong Foundational knowledge of Linux, networking, and cloud infrastructure concepts
• Understanding of database fundamentals including backups, replication, indexing, and performance tuning
• Strong troubleshooting skills across application, database, and infrastructure layers
• Customer-first mindset with a passion for solving technical problems and delivering great support experiences
• Effective communication skills with the ability to explain technical concepts clearly
• Ability to work both independently and collaboratively in a fast-paced environment

Preferred Qualification:

• Proven experience contributing to open-source projects, particularly in the database ecosystem (e.g., MySQL, PostgreSQL, Redis, MongoDB) or related technologies like Kafka, OpenSearch, or database migration tools.
• Exposure to cloud platforms (e.g., AWS, Azure, Google Cloud) and experience with multi-cloud or hybrid cloud environments.
• Basic Experience to distributed systems or containerized environments (e.g., Kubernetes)
• Hands-on experience with Infrastructure-as-Code tools such as Terraform, Helm, or Ansible.
• Contributions to open-source projects, technical blogs, or documentation related to databases or cloud-native technologies
• At least one of the Database Certifications, such as Oracle Certified Professional or Databases Administrator
• Exposure to one or more programming languages (PHP, Python, NodeJS) or a strong interest in developing coding skills.

Compensation Range: 

• $75,200 - $94,000 / Shift hours - 4pm - 12am EST

*This is a remote role

JR: 2026-7646

#LI-Remote

We are looking for a Customer Success Engineer, Database who is passionate about cloud infrastructure, database technologies, and delivering exceptional customer experiences, while providing high-touch, white-glove support to strategic accounts.

As a Customer Success Engineer at DigitalOcean, you will join a dynamic team dedicated to supporting and empowering customers to successfully run their workloads on our platform. You will work closely with customers to troubleshoot issues, optimize database performance, and guide them in adopting best practices across managed databases and cloud infrastructure.

In this role, you will build strong technical depth across database systems and DigitalOcean products while developing your ability to handle increasingly complex customer scenarios. You will collaborate cross-functionally with Product and Engineering to ensure seamless customer outcomes. This role reports to the Manager, Customer Success Engineer.

What You'll Do

• Deliver hands-on technical support for database and cloud infrastructure issues across technologies such as MySQL, PostgreSQL, Valkey (Redis), MongoDB and Clickhouse, with exposure to cloud-native and Kubernetes environments
• Diagnose and resolve production issues impacting database performance, availability, replication, backups, and connectivity
• Guide customers in designing scalable, reliable, and high-performing database architectures on DigitalOcean
• Collaborate with senior engineers and stakeholders to support onboarding, migrations, customer success, and the resolution of complex escalations.
•  on complex escalations, contributing to root cause analysis and resolution
• Analyze customer architectures to identify improvement opportunities and recommend best practices
• Participate in incident response and on-call rotations to support critical customer issues
• Contribute to team growth through case reviews and knowledge sharing, while developing and maintaining technical documentation and playbooks to drive continuous improvement.
• Advocate for customer feedback to influence product improvements and platform enhancements
• Identify opportunities to leverage automation and AI tools to streamline support workflows, reduce manual effort, and improve response quality.
• Use monitoring and observability tools to diagnose performance bottlenecks and system behavior.

Key Metrics

• Customer Satisfaction (CSAT)
• Time to Resolution / SLA adherence
• Escalation quality and resolution effectiveness
• Documentation and knowledge base contributions
• Customer adoption of best practices

What You'll Add to DigitalOcean

Required Experience & skills

• 2–5 years of experience in technical support, DevOps, cloud engineering, or similar roles
• Hands-on experience with some of the major database systems (e.g., PostgreSQL, MySQL, Redis, MongoDB, Clickhouse), with some familiarity across Kafka and others.
• Strong Foundational knowledge of Linux, networking, and cloud infrastructure concepts
• Understanding of database fundamentals including backups, replication, indexing, and performance tuning
• Strong troubleshooting skills across application, database, and infrastructure layers
• Customer-first mindset with a passion for solving technical problems and delivering great support experiences
• Effective communication skills with the ability to explain technical concepts clearly
• Ability to work both independently and collaboratively in a fast-paced environment

Preferred Qualification:

• Proven experience contributing to open-source projects, particularly in the database ecosystem (e.g., MySQL, PostgreSQL, Redis, MongoDB) or related technologies like Kafka, OpenSearch, or database migration tools.
• Exposure to cloud platforms (e.g., AWS, Azure, Google Cloud) and experience with multi-cloud or hybrid cloud environments.
• Basic Experience to distributed systems or containerized environments (e.g., Kubernetes)
• Hands-on experience with Infrastructure-as-Code tools such as Terraform, Helm, or Ansible.
• Contributions to open-source projects, technical blogs, or documentation related to databases or cloud-native technologies
• At least one of the Database Certifications, such as Oracle Certified Professional or Databases Administrator
• Exposure to one or more programming languages (PHP, Python, NodeJS) or a strong interest in developing coding skills.

Compensation Range: 

• $75,200 - $94,000 / Shift hours - 1pm - 9pm PST

*This is a remote role

JR: 2026-7646

#LI-Remote

We are looking for a Customer Success Engineer, Database who is passionate about cloud infrastructure, database technologies, and delivering exceptional customer experiences, while providing high-touch, white-glove support to strategic accounts.

As a Customer Success Engineer at DigitalOcean, you will join a dynamic team dedicated to supporting and empowering customers to successfully run their workloads on our platform. You will work closely with customers to troubleshoot issues, optimize database performance, and guide them in adopting best practices across managed databases and cloud infrastructure.

In this role, you will build strong technical depth across database systems and DigitalOcean products while developing your ability to handle increasingly complex customer scenarios. You will collaborate cross-functionally with Product and Engineering to ensure seamless customer outcomes. This role reports to the Manager, Customer Success Engineer.

What You'll Do

• Deliver hands-on technical support for database and cloud infrastructure issues across technologies such as MySQL, PostgreSQL, Valkey (Redis), MongoDB and Clickhouse, with exposure to cloud-native and Kubernetes environments
• Diagnose and resolve production issues impacting database performance, availability, replication, backups, and connectivity
• Guide customers in designing scalable, reliable, and high-performing database architectures on DigitalOcean
• Collaborate with senior engineers and stakeholders to support onboarding, migrations, customer success, and the resolution of complex escalations.
•  on complex escalations, contributing to root cause analysis and resolution
• Analyze customer architectures to identify improvement opportunities and recommend best practices
• Participate in incident response and on-call rotations to support critical customer issues
• Contribute to team growth through case reviews and knowledge sharing, while developing and maintaining technical documentation and playbooks to drive continuous improvement.
• Advocate for customer feedback to influence product improvements and platform enhancements
• Identify opportunities to leverage automation and AI tools to streamline support workflows, reduce manual effort, and improve response quality.
• Use monitoring and observability tools to diagnose performance bottlenecks and system behavior.

Key Metrics

• Customer Satisfaction (CSAT)
• Time to Resolution / SLA adherence
• Escalation quality and resolution effectiveness
• Documentation and knowledge base contributions
• Customer adoption of best practices

What You'll Add to DigitalOcean

Required Experience & skills

• 2–5 years of experience in technical support, DevOps, cloud engineering, or similar roles
• Hands-on experience with some of the major database systems (e.g., PostgreSQL, MySQL, Redis, MongoDB, Clickhouse), with some familiarity across Kafka and others.
• Strong Foundational knowledge of Linux, networking, and cloud infrastructure concepts
• Understanding of database fundamentals including backups, replication, indexing, and performance tuning
• Strong troubleshooting skills across application, database, and infrastructure layers
• Customer-first mindset with a passion for solving technical problems and delivering great support experiences
• Effective communication skills with the ability to explain technical concepts clearly
• Ability to work both independently and collaboratively in a fast-paced environment

Preferred Qualification:

• Proven experience contributing to open-source projects, particularly in the database ecosystem (e.g., MySQL, PostgreSQL, Redis, MongoDB) or related technologies like Kafka, OpenSearch, or database migration tools.
• Exposure to cloud platforms (e.g., AWS, Azure, Google Cloud) and experience with multi-cloud or hybrid cloud environments.
• Basic Experience to distributed systems or containerized environments (e.g., Kubernetes)
• Hands-on experience with Infrastructure-as-Code tools such as Terraform, Helm, or Ansible.
• Contributions to open-source projects, technical blogs, or documentation related to databases or cloud-native technologies
• At least one of the Database Certifications, such as Oracle Certified Professional or Databases Administrator
• Exposure to one or more programming languages (PHP, Python, NodeJS) or a strong interest in developing coding skills.

Compensation Range: 

• $75,200 - $94,000 / Shift hours - 2pm - 10pm MST

*This is a remote role

JR: 2026-7646

#LI-Remote

We are looking for a Customer Success Engineer, Database who is passionate about cloud infrastructure, database technologies, and delivering exceptional customer experiences, while providing high-touch, white-glove support to strategic accounts.

As a Customer Success Engineer at DigitalOcean, you will join a dynamic team dedicated to supporting and empowering customers to successfully run their workloads on our platform. You will work closely with customers to troubleshoot issues, optimize database performance, and guide them in adopting best practices across managed databases and cloud infrastructure.

In this role, you will build strong technical depth across database systems and DigitalOcean products while developing your ability to handle increasingly complex customer scenarios. You will collaborate cross-functionally with Product and Engineering to ensure seamless customer outcomes. This role reports to the Manager, Customer Success Engineer.

What You'll Do

• Deliver hands-on technical support for database and cloud infrastructure issues across technologies such as MySQL, PostgreSQL, Valkey (Redis), MongoDB and Clickhouse, with exposure to cloud-native and Kubernetes environments
• Diagnose and resolve production issues impacting database performance, availability, replication, backups, and connectivity
• Guide customers in designing scalable, reliable, and high-performing database architectures on DigitalOcean
• Collaborate with senior engineers and stakeholders to support onboarding, migrations, customer success, and the resolution of complex escalations.
•  on complex escalations, contributing to root cause analysis and resolution
• Analyze customer architectures to identify improvement opportunities and recommend best practices
• Participate in incident response and on-call rotations to support critical customer issues
• Contribute to team growth through case reviews and knowledge sharing, while developing and maintaining technical documentation and playbooks to drive continuous improvement.
• Advocate for customer feedback to influence product improvements and platform enhancements
• Identify opportunities to leverage automation and AI tools to streamline support workflows, reduce manual effort, and improve response quality.
• Use monitoring and observability tools to diagnose performance bottlenecks and system behavior.

Key Metrics

• Customer Satisfaction (CSAT)
• Time to Resolution / SLA adherence
• Escalation quality and resolution effectiveness
• Documentation and knowledge base contributions
• Customer adoption of best practices

What You'll Add to DigitalOcean

Required Experience & skills

• 2–5 years of experience in technical support, DevOps, cloud engineering, or similar roles
• Hands-on experience with some of the major database systems (e.g., PostgreSQL, MySQL, Redis, MongoDB, Clickhouse), with some familiarity across Kafka and others.
• Strong Foundational knowledge of Linux, networking, and cloud infrastructure concepts
• Understanding of database fundamentals including backups, replication, indexing, and performance tuning
• Strong troubleshooting skills across application, database, and infrastructure layers
• Customer-first mindset with a passion for solving technical problems and delivering great support experiences
• Effective communication skills with the ability to explain technical concepts clearly
• Ability to work both independently and collaboratively in a fast-paced environment

Preferred Qualification:

• Proven experience contributing to open-source projects, particularly in the database ecosystem (e.g., MySQL, PostgreSQL, Redis, MongoDB) or related technologies like Kafka, OpenSearch, or database migration tools.
• Exposure to cloud platforms (e.g., AWS, Azure, Google Cloud) and experience with multi-cloud or hybrid cloud environments.
• Basic Experience to distributed systems or containerized environments (e.g., Kubernetes)
• Hands-on experience with Infrastructure-as-Code tools such as Terraform, Helm, or Ansible.
• Contributions to open-source projects, technical blogs, or documentation related to databases or cloud-native technologies
• At least one of the Database Certifications, such as Oracle Certified Professional or Databases Administrator
• Exposure to one or more programming languages (PHP, Python, NodeJS) or a strong interest in developing coding skills.

Compensation Range: 

• $75,200 - $94,000 / Shift hours - 3pm - 11pm CST

*This is a remote role

JR: 2026-7646

#LI-Remote

We are looking for a Customer Success Engineer, Database who is passionate about cloud infrastructure, database technologies, and delivering exceptional customer experiences, while providing high-touch, white-glove support to strategic accounts.

As a Customer Success Engineer at DigitalOcean, you will join a dynamic team dedicated to supporting and empowering customers to successfully run their workloads on our platform. You will work closely with customers to troubleshoot issues, optimize database performance, and guide them in adopting best practices across managed databases and cloud infrastructure.

In this role, you will build strong technical depth across database systems and DigitalOcean products while developing your ability to handle increasingly complex customer scenarios. You will collaborate cross-functionally with Product and Engineering to ensure seamless customer outcomes. This role reports to the Manager, Customer Success Engineer.

What You'll Do

• Deliver hands-on technical support for database and cloud infrastructure issues across technologies such as MySQL, PostgreSQL, Valkey (Redis), MongoDB and Clickhouse, with exposure to cloud-native and Kubernetes environments
• Diagnose and resolve production issues impacting database performance, availability, replication, backups, and connectivity
• Guide customers in designing scalable, reliable, and high-performing database architectures on DigitalOcean
• Collaborate with senior engineers and stakeholders to support onboarding, migrations, customer success, and the resolution of complex escalations.
•  on complex escalations, contributing to root cause analysis and resolution
• Analyze customer architectures to identify improvement opportunities and recommend best practices
• Participate in incident response and on-call rotations to support critical customer issues
• Contribute to team growth through case reviews and knowledge sharing, while developing and maintaining technical documentation and playbooks to drive continuous improvement.
• Advocate for customer feedback to influence product improvements and platform enhancements
• Identify opportunities to leverage automation and AI tools to streamline support workflows, reduce manual effort, and improve response quality.
• Use monitoring and observability tools to diagnose performance bottlenecks and system behavior.

Key Metrics

• Customer Satisfaction (CSAT)
• Time to Resolution / SLA adherence
• Escalation quality and resolution effectiveness
• Documentation and knowledge base contributions
• Customer adoption of best practices

What You'll Add to DigitalOcean

Required Experience & skills

• 2–5 years of experience in technical support, DevOps, cloud engineering, or similar roles
• Hands-on experience with some of the major database systems (e.g., PostgreSQL, MySQL, Redis, MongoDB, Clickhouse), with some familiarity across Kafka and others.
• Strong Foundational knowledge of Linux, networking, and cloud infrastructure concepts
• Understanding of database fundamentals including backups, replication, indexing, and performance tuning
• Strong troubleshooting skills across application, database, and infrastructure layers
• Customer-first mindset with a passion for solving technical problems and delivering great support experiences
• Effective communication skills with the ability to explain technical concepts clearly
• Ability to work both independently and collaboratively in a fast-paced environment

Preferred Qualification:

• Proven experience contributing to open-source projects, particularly in the database ecosystem (e.g., MySQL, PostgreSQL, Redis, MongoDB) or related technologies like Kafka, OpenSearch, or database migration tools.
• Exposure to cloud platforms (e.g., AWS, Azure, Google Cloud) and experience with multi-cloud or hybrid cloud environments.
• Basic Experience to distributed systems or containerized environments (e.g., Kubernetes)
• Hands-on experience with Infrastructure-as-Code tools such as Terraform, Helm, or Ansible.
• Contributions to open-source projects, technical blogs, or documentation related to databases or cloud-native technologies
• At least one of the Database Certifications, such as Oracle Certified Professional or Databases Administrator
• Exposure to one or more programming languages (PHP, Python, NodeJS) or a strong interest in developing coding skills.

Compensation Range: 

• $75,200 - $94,000 / Shift hours - 1pm - 9pm PST

*This is a remote role

JR: 2026-7646

#LI-Remote

ABOUT PLACER.AI: 

One of the fastest growing tech companies in North America, Placer.ai (“Placer”) reached $100 million ARR “Centaur” status in 2024, within 6 years of launching the Placer platform. We previously crossed the $1B valuation “Unicorn” threshold in 2022.

Our A.I.-based SaaS platform transforms how leaders make critical decisions by unlocking unparalleled visibility into markets and locations, creating a blue ocean market of more than $100B. And the best part is, we accomplished this by leading a privacy-first business in which data has been stripped of user identifiers and only aggregated information is provided within the platform.

Our platform provides instant visibility into almost any location in the U.S. We have grown exponentially over the past 6 years, counting more than 4,000+ paying customers including many Fortune 500 companies, such as, JP Morgan Chase, Wayfair, Google and many more.

Named one of Forbes America’s Best Startup Employers and a Deloitte Technology Fast company, we are proud of our collaborative, innovative and inclusive culture.

Summary

We are looking for a Production Engineer to help us build and scale Placer’s Infrastructure. This person will take an active role in shaping and implementing Placer’s architecture, as well as introduce new technologies, standards and help increase our release pipeline by building the right tools and frameworks for our developers.

This person will take the existing architecture and pave the way in pursuing and materializing our vision. Passion is a MUST and passion for data even more so!

If you are someone who thrives outside their comfort zone, your place is at Placer.ai.

Responsibilities 

• Plan and implement tools to help our company succeed
• Taking care of our CI/CD tools
• Manage our production and multiple development environments
• Collaborate with development teams to improve our system infrastructure and stability
• Develop effective tooling, dashboards, alerts, and response to identify and address reliability risks
• Measure, analyze and improve efficiency, scalability, and stability of various system resources
• Carry tasks end-to-end, from design to deployment, and take full ownership

Requirements 

• 5+ years of experience in a similar position
• Experience working with public cloud
• 3+ years of production experience with Kubernetes including using open source solutions from the eco-system
• 2+ years of experience with "Infrastructure as a code" tools such as Terraform, Pulumi or similar
• 2+ years of experience managing Databases and Queues such as PostgreSQL, MySQL, ElasticSearch, Redis, MongoDB, Kafka, RabbitMQ or similar
• Strong skills with a variety of monitoring and alerting tools
• Sense of humor, all around team player, fast self-learning individual, problem solver

Nice to have:

• CKA certification or similar
• Strong Kubernetes skills, experience with modern CNIs, volume plugins, security, operators, service meshes, ingresses and K8s ecosystem
• Extensive knowledge of RabbitMQ
• Experience working with GCP

WHY JOIN PLACER.AI? 

• Join a rocketship! We are pioneers of a new market that we are creating
• Take a central and critical role at Placer.ai
• Work with, and learn from, top-notch talent
• Competitive salary
• Excellent benefits
• Fully remote

The U.S. annualized pay range for this position is $190,000 - $210,000 USD. In addition, certain roles have the opportunity to earn sales-based commissions. Base pay offered within the stated range may vary depending on multiple individualized factors, including job-related skills, professional experience, education and licenses (if applicable), work location and compensation market data.

Base pay is just a part of our total rewards program. Placer provides medical, dental and vision coverage as well as flexible time off, 401K and equity awards for certain roles.

Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

NOTEWORTHY LINKS TO LEARN MORE ABOUT PLACER

• Placer.ai in a nutshell
• Placer.ai's recent $100M round C funding (unicorn valuation!)
• Placer.ai's data
• Placer.ai in the news
• COVID-19 Economic Recovery Dashboard

#LI-AC1

#LI-AC1

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

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

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

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

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

Responsibilities 

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

Required qualifications 

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

Familiarity with 

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

Not required, but a bonus 

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

Personal Traits 

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

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

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

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

[#LI-SK1] 

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

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

WHAT YOU’LL DO:

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

WHO YOU ARE:

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

Ideally, you'll have: 

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

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $90,000 and $135,000/year with an expected On Target Earnings (OTE) between $104,000 and $156,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

Iterable is leveling up.

Iterable is building the next generation of customer engagement, one where AI doesn’t just assist, it acts. Our platform is evolving into an AI-native system powered by Nova, enabling teams to translate goals into intelligent, real-time customer experiences across every channel. This isn’t about layering AI onto legacy tools; it’s about re-architecting how data, decisioning, and execution come together to create adaptive, agentic journeys at scale.

Ready to move beyond pipelines and build intelligence-ready data systems? 

We are looking for a Senior Product Manager to define how data moves, lives, and performs across Iterable. You’ll own the vision and roadmap for the full lifecycle of user and event data, from ingestion to intelligent storage to governed, high-performance access.

You’ll shape the systems that power both messaging surfaces and Nova AI experiences, ensuring data is fast, reliable, and ready for real-time decisioning. 

Every campaign launched, every journey orchestrated, every model activated, it all depends on the foundations you build.

How you will make an impact:

• Own the end-to-end user data platform charter: define how user and event data moves from APIs and pipelines into storage, through schema and lifecycle management, and out through query surfaces used by sends, journeys, and AI features—staying focused on core user data infrastructure, not analytics UI or external integrations.
• Make ingestion and identity reliable at scale: evolve ingestion APIs and pipelines with clear SLOs, prioritization, and fair-usage limits, and drive a clear identity model so we can safely move users from anonymous to known without duplicates or data loss.
• Modernize storage, schemas, and guardrails: lead ES8 and user-store roadmaps, retention and cost work, and turn schema management into a first-class product (field removal, usage heatmaps, structural guardrails) so customers can keep only the data that matters.
• Enable Nova and product teams with better data: partner with AI/ML and application teams to define what “AI-ready” means, evolve a centralized query layer with guardrails, and own platform metrics (SLOs, incidents, ES cost, schema health, query coverage) that show the impact of your roadmap.

In this role, you'll get to:

• Work at the heart of Iterable’s data plane—where decisions about ingestion, storage, schema, and queries shape everything built on top of it.
• Make concrete tradeoffs between flexibility and guardrails: when to allow arbitrary payloads vs. when to insist on structure, how much history to keep online, and which queries are too risky to run.
• Partner closely with senior engineering leaders on long-horizon decisions about search/index strategy, user stores, SLOs, and cost posture.
• Spend time with customers’ data and engineering teams to understand how they actually model users and events today—and reflect that reality in a cleaner, more powerful user data platform.

We are looking for people who have:

• 5+ years of product management experience in B2B SaaS, focused on backend, platform, or data infrastructure products.
• Hands-on experience with user and event data systems—for example: ingestion pipelines, identity/alias models, event stores, or large search/document databases (e.g., Elasticsearch).
• Strong instincts around APIs and schemas: you’re comfortable reading JSON payloads, thinking through nesting vs. flattening, and managing breaking changes over time.
• Familiarity with distributed systems and data infra (Kafka/Pulsar, Redis, relational or NoSQL stores, or search engines) and the tradeoffs around performance, reliability, and cost.
• Experience collaborating with AI/ML or data science teams on the data side—feature availability, data quality, semantics—enough to know what really blocks good models and agent behavior.
• Strong analytical skills (including SQL) and a habit of using data to drive prioritization and validate impact.
• Clear, direct communication; you can explain a data or infra decision to both senior engineers and non-technical stakeholders without jargon for its own sake.

Bonus points:

• You’ve worked on a core user-data or messaging platform where profiles, events, and identity resolution were central concepts.
• You’ve shipped guardrails or cost controls for shared infrastructure (rate limits, query limits, SLOs, or similar).
• You’ve been part of a major search / storage modernization (e.g., ES migrations, index redesigns, or retention changes).
• Background in computer science, data engineering, or a related field that lets you go deep with engineering when needed.

Perks & Benefits:

• Paid parental leave
• 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 $138,500 - $213,000. 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.

Who We Are

The Notifications team sits within the Consumer and owns the centralized notification platform that powers relevant, timely, and valuable communications to our consumers across push and email channels. 

Our stack includes Kafka, AWS EKS and Lambda, SQS, MongoDB, Redis, AWS Secrets Manager, and Serverless, with a strong focus on observability, cost efficiency, and operational excellence.

About The Role

We are looking for a Sr. Backend Software Engineer to join the Notifications team and help design, build, and operate the next generation of our notification platform.

In this role, you will:

• Own core backend services that power notification preferences, home alerts, and notification delivery for initiatives like Project Columbus (Updated Notification Preferences and Alerts by Geo).
• Work across event-driven architectures, real-time delivery pipelines, and storage systems that serve notification history and campaign traffic at scale.
• Partner closely with CRM Marketing, Search, Mobile teams to deliver reliable, observable, and cost‑efficient notification experiences.

We believe in leveraging the best tools to solve problems faster. You will be expected to utilize AI coding assistants and LLMs proficiently to accelerate development velocity, generate boilerplate, and troubleshoot complex debugging scenarios. Beyond simple usage, this role requires the critical judgment to verify AI-generated outputs for security, performance, and accuracy. You should be comfortable integrating AI tooling into your daily workflow to eliminate repetitive tasks, allowing you to focus on high-impact architectural and strategic engineering challenges.

What You’ll Do

Design, Build, and Operate Backend Services

• Design and implement scalable backend services and APIs for notification preferences, notification delivery, and notification storage, using modern backend languages and frameworks (e.g., Node.js/TypeScript, Java/Kotlin, or Python) on AWS.
• Extend and evolve our event-driven architecture for notifications, leveraging Kafka, SQS, and AWS services to reduce latency and improve reliability for push and email sends.
• Build and maintain data models and storage layers (e.g., MongoDB Atlas, Redis) to support high-volume reads/writes, notification history, and preference lookups at scale.
• Implement and harden CI/CD pipelines on our paved path (CircleCI, GitHub, Argo) to enable safe, frequent deployments with strong automated test coverage.

Reliability, Observability, and Operational Excellence

• Own the health of the services you build, including metrics, logging, tracing, dashboards, and alerts using tools like New Relic and Splunk, and participate in an on‑call rotation for Notifications services (Pigeon, Notification Center, Preferences APIs, and pipelines).
• Improve system reliability and performance by driving projects to simplify architectures (e.g., replatforming Pigeon to an event‑driven model, improving DLQ handling, and replacing legacy step functions and throttlers with SQS consumers).
• Contribute to cost and resiliency initiatives, including logging/CloudWatch optimization, secrets migration to AWS Secrets Manager/Skyway Vault, and scaling strategies for notification databases and infrastructure.
• Author and maintain runbooks and operational playbooks for on‑call responders, covering incident response, rollbacks, backfills, and replay strategies for notification workloads.

Cross‑Team Collaboration and Delivery

• Partner with CRM Marketing and Product to translate business requirements for campaigns, alerts, and notification preferences into robust technical designs and incremental delivery plans.
• Collaborate with Search, CPS, Identity, Orchestration, and Data teams to ensure notification flows (e.g., Alerts by Geo, saved search alerts, preference syncs) are correct, observable, and performant end‑to‑end.
• Participate in and lead technical design discussions, documenting trade‑offs and making recommendations that balance delivery speed, reliability, and total cost of ownership.
• Contribute to team rituals (planning, grooming, retros, incident reviews), helping to de‑risk projects via spikes/POCs, clear recommendations, and proactive communication on risks and timelines.

What You’ll Bring

Core Qualifications

• 5+ years of professional software engineering experience, with a strong focus on backend systems and distributed services in production environments.
• Experience with TypeScript/JavaScript/Node.js. 
• Proficiency in at least one modern backend language such as Node.js/TypeScript, Java/Kotlin, or Python, and a track record of building secure, testable, maintainable services and APIs.
• Experience with event-driven architectures and streaming technologies (e.g., Kafka/MSK, SQS), including designing resilient producers/consumers and handling retries, DLQs, and backfills.
• Hands-on experience with AWS (e.g., Lambda, ECS/EKS, S3, API Gateway, IAM, SQS) and Infrastructure‑as‑Code frameworks (e.g., CloudFormation, Terraform, or similar).
• Experience with NoSQL and cache technologies such as MongoDB Atlas and Redis (or comparable systems), including schema design and performance tuning for high‑volume workloads.
• Strong CI/CD and testing mindset, including building and extending pipelines (e.g., CircleCI + GitHub + Argo), and applying unit, integration, and contract testing to services and data flows.
• Solid observability skills, using tools such as New Relic and Splunk (or equivalents) to define SLIs/SLOs, build dashboards, and reduce mean time to detection and recovery.
• Excellent communication and collaboration skills, with the ability to work closely with product, marketing, analytics, and other engineering teams, and to communicate clearly about risks, trade‑offs, and timelines.
• Ability to operate in an on‑call rotation in US time zones, owning production incidents end‑to‑end and driving follow‑up improvements.
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience.

Nice To Have

• Experience with notifications, messaging, or campaign delivery systems (push, email, in‑app notifications), including rate limiting, preference management, and history storage.
• Experience with CRM and marketing platforms such as Braze, Cordial, Hightouch, or similar activation tools, and integrations between internal data platforms and external providers.
• Background in real‑time personalization or alerts (e.g., saved searches, alerts by geo, behavioral triggers) where correctness, latency, and relevance are critical.
• Familiarity with security and compliance practices, including secrets management (AWS Secrets Manager, Skyway Vault), AppID tagging, and cloud cost/usage governance.
• Experience contributing to tech modernization and platform re‑architecture efforts (e.g., migrating serverless workflows to EKS‑based services, improving throughput and state recovery for high‑volume pipelines).

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degreed and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

WHAT YOU’LL DO

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

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

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

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

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

WHO YOU ARE

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

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $153,000 and $270,300/year with an expected On Target Earnings (OTE) between $180,000 and $318,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

How you will make an impact:

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

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

Team Description? 

How you will make a difference:

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

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

We are looking for people who have :

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

Our Technology Stack:

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

Bonus Points

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

Perks & Benefits:

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

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

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

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

AWL (All Web Leads, Inc.) is one of the most successful customer acquisition marketing companies in the US.  Simply put, we help our customers acquire customers for the US insurance industry.  Our amazing team of nearly 1,000 talented and successful professionals use internet marketing strategies to turn consumer interest in insurance products into policy sales for the world’s largest insurance carriers and more than 30,000 of their agents.   We are Austin-born and our growth from a 2-person startup in 2005 to a highly profitable business has been a remarkable journey.  We are a tight-knit team with a fast-paced, energetic, and entrepreneurial company culture that has been ranked a Best Place to Work in Austin for 2012, 2013, 2015, and 2017 - 2023.  AWL fosters a vibrant, dynamic work culture built on trust, data, technology, passion, collaboration, and winning, where employees want to engage and be impactful. We provide competitive pay, outstanding benefits, and a fabulous, fun, collaborative environment that allows our people to be their best.

As our Software Engineer (Remote), you will use your experience in .NET and C# to help us evolve our application software platform. You will work in an agile development environment, enhancing and extending our in-house software-as-a-service (SaaS) platform responsible for processing and managing hundreds of thousands of dollars in revenue each day. You will be working closely with senior engineering leaders to design robust, scalable software that meets both the immediate and future needs of our constantly evolving business environment.

General Responsibilities:

• Designing and implementing highly reliable components for our business-critical applications.
• Working closely with engineering leadership and key stakeholders to build new features to address business-critical needs.
• Translating high-level business needs into actionable engineering requirements.
• Working closely with our QA team to ensure on-time release and product quality.
• Participation in the full software development lifecycle process – “You build it, you run it.”

Requirements:

• Now accepting applicants in TX, NC, OH ,GA, and WI only
• 2-4 years of experience in a back-end C# /.NET software development role with increasing responsibilities
• Enjoy working within a small, fast-paced, Agile team in a TDD and CI/CD environment.
• Solid experience working in an object-oriented language such as C#, Java or C++.
• Experience consuming/creating JSON-based, RESTful APIs.
• Exposure to Polyglot persistence: SQL/NoSQL (MySQL, PostgreSQL, MongoDB, Redis, etc.).
• Experience with Modern JavaScript/Typescript, HTML, and CSS.
• Exposure to building, tuning and supporting large scale, high-availability SaaS platforms.
• Bachelor’s degree in Computer Science, Engineering or related field.

Preferred:

• Experience with AI-assisted development tooling like Claude, Codex, etc.
• Exposure to cloud telephony (e.g. Twilio) or real-time communication
• Exposure to CQRS, Event Sourcing and message-based systems (RabbitMQ, Akka, ActiveMQ, JMS).
• Exposure to Salesforce development.

Application & Hiring Process Notice
We take the integrity of our hiring process seriously. Candidates should expect:

• Verification of identity and location during the interview process
• Real-time technical discussions and live problem-solving
• Consistency between application details, interview participation, and onboarding documentation

Any discrepancies may result in removal from the hiring process.

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.

We’re looking for a Senior Software Engineer to help us build and operate backend systems that run at serious scale. This role is for someone who cares about performance, reliability, and designing systems that can handle large volumes of data without falling over.

You’ll be working with tens of billions of records, including dark web intelligence, to help protect organizations from stolen credentials, malware, and compromised devices. The systems you build will be core to our platform and used every day by security teams that depend on speed, accuracy, and reliability.

This is a hybrid role based in Austin, TX, with flexibility to work remotely while still spending time collaborating in person with the team.

What You'll Do:

• Building and maintaining high performance APIs and backend services used at scale
• Designing background services and data processing workflows that operate over very large datasets
• Working closely with data engineers and data scientists who are building our platform on AWS and Databricks
• Making practical architecture decisions around performance, cost, and reliability
• Profiling and tuning systems to improve throughput, latency, and overall stability
• Helping shape and evolve API standards and best practices across the platform
• Using modern, AI-forward development tools to move faster and write better software

Requirements:

• Core Experience
• 7+ years of professional software engineering experience with a strong backend focus
• Experience building and running production systems at scale
• Strong experience in Python, Go, or Java. Experience in more than one is a plus
• Solid understanding of API design, distributed systems, and service-oriented architectures
• Experience working with large datasets and high throughput systems
• Data and Infrastructure
• Experience with one or more of the following databases:
• PostgreSQL
• DynamoDB
• Elasticsearch
• Redis
• MongoDB
• Familiarity with AWS and cloud-based architectures
• Experience working with or alongside data platforms such as Databricks or Spark
• Performance and Reliability
• Experience with API gateways, load balancing, and traffic management
• Comfortable with performance profiling, load testing, and capacity planning
• Able to debug and resolve bottlenecks across services, databases, and infrastructure
• How You Work
• Comfortable operating with incomplete or evolving product requirements
• Able to make good tradeoffs when there is no perfect answer
• Communicates clearly with engineers, data teams, and product partners
• Takes ownership and cares about long-term maintainability

Nice to Have:

• Experience working on large scale products or at well known technology companies
• Background in security, identity, fraud, or threat intelligence
• Experience working with unstructured or dark web data
• Strong technical opinions that are open to discussion

We are seeking a Principal Engineer to lead the hands-on architecture and development of our next-generation data and intelligence APIs. This role is deeply technical and execution-focused, responsible for defining API contracts, building production services, and architecting the platform interfaces high-performance throughput, agentic workflows, and external customer integrations.

You will operate at the intersection of distributed systems, data platforms, and agentic orchestration, ensuring our APIs are scalable, governed, observable, and designed for long-term evolution. This role requires strong systems thinking, high-quality implementation standards, and the ability to translate platform strategy into production-grade services.

This is a hands-on engineering role with architectural authority.

What You'll Do:

• Next-Generation API Architecture
• Architect and implement customer-facing data and intelligence APIs with clear versioning, SLAs, and backward compatibility.
• Define and enforce API contracts for:
• Low latency, high throughput endpoints
• Agentic workflows (tools, actions, state transitions, handoffs)
• Context retrieval and enrichment
• Design APIs as durable platform interfaces, not thin wrappers over storage systems.
• Establish standards for schema governance, payload design, and service boundaries.
• Agentic & ML Platform Integration
• Architect service layers that support agentic workflows, including orchestration interfaces, guardrails, and runtime observability.
• Build API surfaces that expose model outputs safely and consistently.
• Collaborate with MLEs and Data Scientists to move models from experimentation into robust inference services.
• Ensure proper lifecycle management, monitoring, and rollback mechanisms for ML-powered endpoints.
• Data Platform & Context Hubs
• Design and implement service layers that sit on top of the gold-layer system of record.
• Build and evolve context hubs derived from authoritative systems of record, enabling consistent entity, identity, or risk context for downstream services.
• Ensure APIs are aligned with medallion architecture principles and platform data contracts.
• Prevent fragmentation by maintaining strong coupling to canonical schemas and governed data models.
• Distributed Systems & Reliability
• Design high-throughput, low-latency services supporting batch and streaming workloads.
• Implement scalable infrastructure patterns on AWS.
• Ensure strong observability, error handling, performance tuning, and cost awareness.
• Drive infrastructure-as-code practices and production readiness standards.
• Technical Leadership
• Serve as a senior architectural voice in design reviews.
• Raise the bar on code quality, system design, and operational rigor.
• Mentor engineers on API design, distributed systems, and ML integration patterns.
• Influence platform direction through technical depth rather than organizational authority

Requirements:

• 10+ years of experience building distributed systems, APIs, or large-scale data platforms.
• Deep experience designing and implementing customer-facing APIs as long-lived products.
• Strong understanding of schema governance, versioning strategies, and contract design.
• Experience productionizing ML models and exposing inference services.
• Experience designing or integrating agentic or autonomous workflows.
• Experience building service layers on top of systems of record or semantic data layers.
• Strong background in distributed systems reliability, observability, and scalability.
• Proficiency in Go & Python (and/or backend service languages).
• Hands-on experience with Databricks/Snowflake
• Strong experience with AWS infrastructure and infrastructure-as-code tools

Nice to Have:

• AWS services including Redshift, S3, EC2, and related cloud-native tooling.
• Data stores including Elasticsearch, PostgreSQL, Redis, and graph databases (e.g., Neo4j or AWS Neptune).
• Experience building high-performance APIs and service layers over heterogeneous data systems.
• Familiarity with Databricks/Snowflake and/or SageMaker is a plus.
• Experience in cybersecurity, identity, fraud, or risk systems is a plus.

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