Location: Hybrid (Local to NYC area)

About the team

The Platform team at Capital Rx is made up of a set of passionate, motivated, and driven individuals who are not only experts in technologies but are great problems solvers and brings high energy and inspiration every day. The team always works a sense of ownership and urgency delivering highest quality of work ensuring seamless operations and fostering collaboration across the software engineering department. We own the architecture, framework & standards, infrastructure and CI/CD pipelines which development teams utilize to deliver code to Captial Rx’s Judi® platform. The team is also responsible for the production environment which requires knowledge with monitoring, alerting and on-call practices. The Platform team performs many functions whether that is tactical operations, providing general solutions for the enterprise or giving guidance or recommendations for individual product teams.

Position Summary:

We are a rapidly growing late-stage health tech company helping millions of lives through our innovative product Judi. We’re seeking a highly skilled and experienced Senior Platform Developer II to join our platform team. This pivotal role will be instrumental in building, scaling, and maintain the robust and secure infrastructure that powers our mission-critical platform.

You will be a force multiplier, enabling our development teams to deliver features faster and more reliably. You will champion infrastructure-as-code principles, contribute code to platform scalability, drive automation across the entire software development lifecycle, and ensure our platform meets the highest standards of scalability, performance, and security.

Position Responsibilities:

• Architect, implement, and maintain highly available, scalable, and secure platform & infrastructure
• Develop and maintain robust automation pipelines for continuous delivery (CI/CD), and infrastructure provisioning tools like GoCD, Harness, and Terraform
• Write clean, efficient, and well-tested Python code for automation, tooling and service development.
• Manage and optimize relational or in-memory databases, including PostgreSQL, Redshift and Redis, ensuring high performance, reliability, and data integrity.
• Administer and finetune container orchestration platforms such EKS and ECS.
• Implement and manage serverless architectures leveraging AWS Lambda for various platform functionalities.
• Collaborate closely with development teams to ensure infrastructure aligns with application requirements and best practices.
• Lead efforts in defining and enforcing security best practices across the platform, including adherence to HIPAA standards, FISMA, SOC II, and FedRAMP compliance standards.
• Monitor systems performance, identify bottlenecks, and implement proactive solutions to ensure optimal operation and scalability.
• Participate in on-call rotations to provide operational support and incident response.
• Champion Agile/Scrum methodologies, actively participating in sprint planning, stand-ups, and retrospectives.
• Mentor junior developers and contribute to a culture of technical excellence and continuous improvement.
• Evaluate and recommend new technologies and tools to enhance platform capabilities and efficiency.
• Develop internal tooling and automation scripts using Python and work with SQL to support operational workflows.
• Implement observability (monitoring/logging/alerting) best practices for highly available SaaS services.
• Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance.

Requirements

• 8+ years of experience as a Platform Engineer, DevOps Engineer, or Site Reliability Engineer.
• Deep expertise in AWS infrastructure and services including but not limited to EC2, Lambda, ECS, EKS, RDS, S3, VPC, CloudWatch, SQS, SNS, IAM, Kinesis
• Excellent proficiency with Terraform, Python, SQL, and automation tooling.
• Extensive experience with Docker and container orchestration (Kubernetes/EKS).
• Solid understanding and hands-on experience with SQL, database administration (PostgreSQL preferred), and performance tuning
• Experience with CI/CD systems (e.g., GoCD, GitHub Actions, Harness).
• Proven experience in automating Observability & Monitoring (Grafana, Kibana, Prometheus), standardizing incident response for alerts to maintain SLAs and SLOs
• Hands-on experience in environments compliant with FISMA, SOC 2, and/or FedRAMP.
• Background in building highly scalable, performant SaaS platforms.
• Excellent communication, collaboration and problem-solving skills.
• Ability to work effectively with cross-functional teams, including developers, IT security & compliance, product manager, and scrum masters.
• Strong experience in production on call rotations and responding to alerts.

This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.

About the Role:

We're looking for an experienced engineer with deep expertise in distributed data systems to shape the future of Gusto's storage layer. You'll manage complex migrations, architect high-scale systems, and set standards for automation, resiliency, and security. This is a high-impact role where you'll implement distributed database solutions that enable Gusto's continued growth and scale.

About the Team:

The Datastores Infrastructure Engineering team designs, builds, and operates the data platforms that power Gusto's product: MySQL, Postgres, Redis, Kafka, and S3. We ensure our infrastructure is consistent, reliable, and ready to support Gusto's growing needs. As we transition to self-hosted distributed databases, the team is focused on reducing blast radius, improving operational resilience, and enabling sustainable scale.

Here’s what you’ll do day-to-day:

• Architect, deploy, and own the full lifecycle of distributed database systems (TiDB) on Kubernetes at scale, ensuring high availability, data consistency, and operational excellence
• Coordinate complex, zero-downtime migrations from monolithic to distributed architectures, including vertical sharding to isolate Product Services
• Define and drive efficiency improvements across the storage infrastructure through query optimization, caching strategies, and workload management
• Define standards and build reliable automation to ensure data consistency, integrity, and security across distributed systems
• Continuously improve operational excellence by reducing on-call burden through sustainable, long-term solutions
• Partner with product engineering teams and technical collaborators to enable rapid and reliable product development
• Mentor engineers across the Datastores Infrastructure team on best practices for operating complex, self-hosted distributed systems, actively developing our collective operational expertise

Here’s what we're looking for:

• 12+ years of software engineering experience building and scaling large-scale infrastructure systems
• Hands-on experience building and operating distributed databases on Kubernetes (strongly preferred: TiDB; alternatively: CockroachDB, Vitess, Citus, or similar solutions)
• Deep expertise in distributed data systems including horizontal sharding, partitioning strategies, and distributed transaction management
• Proven experience coordinating complex, zero-downtime migrations affecting production systems at scale
• 5+ years of AWS experience with RDS, Aurora, caching systems (Redis/ValKey), streaming platforms (Kafka), and infrastructure optimization at scale
• Strong communication skills with the ability to simplify technical complexity and collaborate on technical direction across teams
• Curiosity and ability to operate in an AI-native environment, leveraging AI tooling to enhance infrastructure operations, driving improvements in  query optimization, performance evaluation, and infrastructure automation
• Bonus: Experience with service extraction and vertical sharding from monolithic architectures
• Bonus: Experience working with Ruby on Rails or similar MVC frameworks at scale

Our cash compensation amount for this role is targeted at $200,000-$230,000 /yr in Denver & most remote locations, and $230,000-$270,000 /yr for San Francisco, Seattle & New York. Final offer amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amounts listed above.

The Trade Desk is a global technology company with a mission to create a better, more open internet for everyone through principled, intelligent advertising. Handling over 1 trillion queries per day, our platform operates at an unprecedented scale. We have also built something even stronger and more valuable: an award-winning culture based on trust, ownership, empathy, and collaboration. We value the unique experiences and perspectives that each person brings to The Trade Desk, and we are committed to fostering inclusive spaces where everyone can bring their authentic selves to work every day.

Do you have a passion for solving hard problems at scale? Are you eager to join a dynamic, globally- connected team where your contributions will make a meaningful difference in building a better media ecosystem? Come and see why Fortune magazine consistently ranks The Trade Desk among the best small- to medium-sized workplaces globally.

The Team: Marketplace Quality Engineering:

Every second, our bidder evaluates millions of ad opportunities across thousands of publishers and supply paths. Not all of that supply is created equal — some of it is duplicated, some is structurally inaccessible, and some degrades advertiser outcomes. The Marketplace Quality Engineering team exists to make sure our platform is buying the right impressions, not just more impressions.

We own the systems that assess, measure, and optimize supply quality across the programmatic ecosystem. Our work spans deduplication, supply path analysis, quality modeling, and the tooling that turns those signals into decisions at bid time. The problems are technically deep — think identity resolution across fragmented supply chains, statistical modeling to separate signal from noise, and real-time decisioning at platform scale — and they have direct, measurable impact on both advertiser outcomes and platform economics.

This is not theoretical work. When we ship a model update, spend distribution across the platform shifts. Our engineering decisions translate directly into tens of millions of dollars of measurable business impact. If you want to build systems where what you ship visibly matters, this is the team.

You will work with C# / .NET as a core strength, alongside Python and SQL where data and automation need it, and partner closely with product, data, and platform teams across time zones.

Who you are:

Our culture runs deeper than having fun together (though we do that well, too). We take pride in our engineers being trust-builders, generous givers, scrappy problem solvers, and gritty pursuers of excellence. You do not need to meet every requirement below, but people who meet most of them tend to thrive in this role:

- You are comfortable working on an agile, distributed team across time zones and continents.

- You communicate effectively with both technical and non-technical audiences.

- You have a solid grasp of computer science and engineering fundamentals.

- You have strong experience with distributed systems and data-heavy backend work (services, pipelines, or both).

- You are proficient in C# / .NET.

- You are productive with modern development tools: Visual Studio, Visual Studio Code, Rider, and Git.

- You bring 7+ years of software development or engineering experience.

Nice to have (not required): GraphQL or REST API design, large-scale data processing frameworks (e.g. Apache Spark), workflow orchestration tools (e.g. Apache Airflow), schema-based data serialization, Kubernetes, Kafka, database engines (Microsoft SQL Server, PostgreSQL, Aerospike, Vertica, Redis), microservices, Python for data work or automation, and experience working across large codebases with multiple teams.

A wide range of technical opportunities is one of the best parts of engineering at The Trade Desk, which is why we do not expect you to know every technology we use on day one. What matters is that you learn quickly and solve complex problems with the right tools. What you know today matters less than how well you learn, adapt, and innovate. We are not looking for people who already have all the answers — we want engineers who can invent answers no one has thought of yet and frame the questions we have not yet asked.

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 - 2pm - 10pm MST

*This is a remote role

JR: 2026-7646

#LI-Remote

Responsibilities

We are hiring a Senior Infrastructure Engineer to join our Global Core Infrastructure team and help build and operate the global platform behind Workato.com/go. You will work closely with engineers in the US and across international teams to design, scale, and secure the systems that power Workato’s automation platform - trusted by thousands of enterprises and processing billions of events every day.

Role Overview

As a Senior Infrastructure Engineer, you’ll be part of the team responsible for the architecture, scalability, and reliability of Workato’s distributed cloud platform. You’ll design and optimize the systems that allow our services to run securely and efficiently at scale. This is a highly technical role that requires deep experience with cloud infrastructure, Linux internals, and large-scale distributed systems.

Responsibilities

• Design, build, and maintain a global, distributed, and resilient cloud infrastructure.

• Collaborate with US-based engineering teams to plan and deliver complex platform initiatives.

• Patch and optimize open-source components for performance and security.

• Develop low-level internal services using Linux syscalls and networking primitives.

• Manage and provision AWS infrastructure using Terraform and Kubernetes.

• Write and maintain Kubernetes manifests and deployment configurations for critical workloads.

• Improve and maintain CI/CD pipelines for scalable and secure component delivery.

• Tune Linux systems and open-source software for high performance and hardened security.

• Build internal tools to streamline engineering workflows and operational automation.

• Participate in architecture reviews, incident response, and performance analysis to ensure system reliability.

• Coordinate cross-team projects, ensuring smooth collaboration on shared goals.

• Collaborate with management to align engineering goals with company objectives.

• Perform a Tech Leader role for a group of engineers (planing, reporting, technical leading).

• Support the professional growth of other engineers by sharing knowledge and mentoring them.

Requirements

• 10+ years of experience in infrastructure or systems engineering roles.

• Proven expertise in distributed systems and cloud-native architectures.

• Strong understanding of Linux internals, including networking and system-level performance tuning.

• Experience operating infrastructure on AWS at scale.

• Proficiency with Terraform, Kubernetes. 

• Solid understanding of network security and cloud security best practices.

• Hands-on experience optimizing CI/CD workflows and automating deployments.

• Excellent analytical, troubleshooting, and communication skills.

• Experience mentoring and developing engineers, fostering professional growth, and promoting knowledge sharing across teams.

• Experience working as a technical leader - planning, reporting, and guiding engineering efforts within a team.

Nice to Have

• Experience with Golang for tooling or internal services.

• Familiarity with Kafka, Redis, ClickHouse, PostgreSQL, or similar technologies.

• Experience with observability tools such as Grafana, Prometheus, or VictoriaMetrics.

• Understanding of Vault or other secrets management systems.

• Contributions to or maintenance of open-source infrastructure projects.

Tech Stack

• AWS • Terraform • Kubernetes • Docker • Linux • Golang • ArgoCD • Kafka • PostgreSQL Redis • ClickHouse • Grafana • VictoriaMetrics • Vault

Why Join Us

• Build and operate a world-class cloud platform used by leading global enterprises.

• Collaborate with experienced engineers in the US and across international teams.

• Work in a highly technical environment focused on scalability, performance, and reliability.

• Contribute to an engineering culture that values ownership, craftsmanship, and innovation.
  
  Compensation:
  This is a full-time, exempt position with a salary range of $180,000.00 - $240,000.00 per year, depending on experience and qualifications. The package includes health insurance, paid time off, and a 401(k) plan.

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.

About the Opportunity

We are seeking a Senior Software Engineer to design, build, deploy, monitor, and optimize production-ready ML services in regulated healthcare. You will work hands-on to package, test, orchestrate, deploy, and maintain ML models, improve workflows, and implement CI/CD and automated testing to ensure reliability, performance, and faster delivery of business value.

Responsibilities

• Design, build, and deploy scalable AI/ML services with clear service boundaries, making pragmatic trade-offs across performance, maintainability, security, and long-term extensibility.

• Own full lifecycle delivery of complex features from architectural planning and API design to implementation and post-release observability.

• Define and enforce robust verification and validation for AI services including unit, integration, and end-to-end testing to ensure reliability of code in production and compliance with our Quality Management System and regulatory standards. 

• Integrate CI/CD and MLOps practices for automated model builds, testing, and deployment.

• Translate product requirements into well-defined technical designs proactively shaping implementation details.

• Contribute to the necessary technical documentation required for regulatory submissions.

• Collaborate cross functionally to reduce knowledge silos and ensure continuity in critical systems through cross-training and documentation. 

Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field

• 7+ years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar).

• Experience with unit, integration testing for ML models, including data validation, correctness checks, and reproducibility.

• Experience with CI/CD, Orchestration tools (Airflow, MLflow, Kubernetes, Terraform) and ML/data platforms(SageMaker, Databricks, Unity Catalog, Snowflake/Snowpark) to build scalable ML data pipelines and model workflows.

• Strong collaboration skills to work effectively with ML scientists, engineers, and regulatory teams.

• Comfortable operating in ambiguity and driving clarity across product, engineering, and business stakeholders.

This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges:

• Base Salary: $153,000 - $179,000
• TTC: $176,000 - $206,000

*Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards.

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.

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.

About the Opportunity

We're seeking a Software Engineer 3 to drive key technical initiatives across our computational imaging pipeline. In this high-impact role, you'll be part of the team owning the complex systems responsible for deploying, scaling, and monitoring our regulated AI algorithms end-to-end. You will influence the architecture of our system, ensuring our solutions meet medical standards for quality and performance, while mentoring other engineers and helping shape our technical culture.

About the Team

You will join our expert Computational Imaging team, where we develop sophisticated algorithms to enhance and improve medical imaging. We are focused on improving the quality and clinical value of medical images, creating powerful, extra software components that correct artifacts, standardize data, and ensure the utmost precision before the final analysis. Our work is essential for elevating the reliability and accuracy of Cleerly’s regulated products.

Responsibilities

• Build and deploy scalable AI services and computational imaging pipelines to production, ensuring robust, high-availability infrastructure for our machine learning algorithms.
• Contribute to the system architecture's design and make pragmatic trade-offs that balance performance, security, and maintainability.
• Own full lifecycle delivery of complex features, from architectural planning and API design to implementation and post-release observability.
• Support the high availability and observability of our services; improve alerting, logging, and incident response across the stack.
• Uphold strong engineering standards via code reviews, technical mentorship, and design documentation.
• Collaborate closely across AI and engineering to reduce knowledge silos and ensure continuity in critical systems through cross-training and documentation.
• Implement robust testing mechanism and validation strategies to ensure compliance with our Quality Management System and regulatory standards 

Requirements 

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field (or equivalent experience).
• 5–8 years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar).
• Demonstrable capability in designing, implementing, and securing RESTful web services
• Experience in MLOps orchestration and cloud deployment (Docker, Kubernetes).
• Experience with AWS, GitHub, and continuous integration pipelines
• Proven track record of delivering scalable systems in production environments.
• Strong systems thinking with the ability to evaluate tradeoffs in scalability, reliability, and maintainability.
• Experience designing for observability and operational excellence (e.g., logs, alerts, dashboards, runbooks).
• Comfortable operating in ambiguity and driving clarity across product, engineering, and business stakeholders.

Preferred:

• Experience designing and optimizing end-to-end medical imaging pipelines in a production environment and familiarity with HIPAA/HITRUST security requirements.
• Hands-on experience with Computer Vision and Deep Learning techniques used for medical image processing.

OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER.  We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation.

Job duties, activities, and responsibilities are subject to change by our company.

The base salary range for this role varies by location and is aligned to market benchmarks.

• Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range.
• Final compensation is determined based on location, experience, skills, and internal equity.

This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges:

• Base Salary: $129,000 - $152,000
• TTC: $142,000 - $168,000

*Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards.

What You'll Do 

1. Understand needs for mission operations interfaces, telemetry formats, commanding, and current use cases.
2. Audit existing tooling to determine gaps in preparation for architecting and designing new ground software
3. Identify critical mission operations workflows and associate them with mission milestones
4. Train on console for upcoming mission operations 

What you will own in the next 30 days: 

1. Produce a cloud based design/ architecture on a scalable and resilient ground software 
2. Help create automated tooling to improve ground procedures
3. Define developer the culture around coding standards, testing, and procedures
4. Mentor junior engineers
5. Improve and own deployment processes through CI/CD
6. Help own and create roadmaps needed to meet program milestones

What We Value:

1. System level thinker understanding cloud based scalable micro service systems
2. Strong desire to build and design something from the ground up
3. Able to understand and communicate customer needs into actionable items
4. Someone who strives for clarity and understanding, but can make do without perfect requirements
5. An operations first developer and architect
6. Someone willing to produce code not just sit back and design
7. A passion for automation and creating systems that streamline operations
8. Someone able to clearly explain trade offs in design and architecture creating trade studies when needed 

Your Ideal Background:

Required:

1. 8-12+ years of cloud based scalable micro service architecture
2. 4+ years leading developers/ engineers  
3. Experience building entire ground stacks from the ground up
4. Experience in creating high reliability production-critical systems
5. Experience with new space companies not traditional primes
6. Owned the process and procedure for deploying, testing and integrating into a full life cycle system
7. Deep technical fluency in cloud, backend, frontend, and streaming systems
8. AWS Suite (EKS, MSK, Timestream, S3, Batch, Event Bridge), Python, C++, React, Tailwind, Redis, Kafka, influx, QuestDB, MongoDB, git, CI/CD, Docker, K8
9. Minimum bachelor’s degree in computer science or other related STEM fields
10. Master’s degree preferred  

Compensation and Benefits:  

Your base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.  The anticipated salary range for this role is $180,000 - $240,000 annually.

Base salary is just one part of your total rewards package at Katalyst. You will also be eligible for long-term incentives, in the form of the Employee Stock Option and Equity Plan, as well as a relocation bonus and other discretionary bonuses. You will also receive access to comprehensive medical, vision, and dental coverage, and unlimited Paid Time Off.

At Katalyst our work on projects involving the U.S. Department of Defense requires adherence to International Traffic in Arms Regulations (ITAR), 22 C.F.R. Parts 120-130, which requires compliance with U.S. export laws before allowing employees to perform certain positions. Currently, our available roles necessitate access to ITAR-controlled information, and as a result, Katalyst would have to ensure any non-US person is authorized access to ITAR information before the commencement of employment. We are committed to equal employment opportunities and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

About the Opportunity

We're seeking a Senior Software Engineer to drive key technical initiatives across our computational imaging pipeline. In this high-impact role, you'll own the complex systems responsible for deploying, scaling, and monitoring our regulated AI algorithms end-to-end. You will influence the architecture of our system, ensuring our solutions meet medical standards for quality and performance, while mentoring other engineers and helping shape our technical culture.

About the Team

You will join our expert Computational Imaging team, where we develop sophisticated algorithms to enhance and improve medical imaging. We are focused on improving the quality and clinical value of medical images, creating powerful, extra software components that correct artifacts, standardize data, and ensure the utmost precision before the final analysis. Our work is essential for elevating the reliability and accuracy of Cleerly’s regulated products.

Responsibilities

• Design, build, and deploy scalable AI services and computational imaging pipelines to production, ensuring robust, high-availability infrastructure for our machine learning algorithms.
• Design extensible system architectures and make pragmatic trade-offs that balance performance, security, and maintainability.
• Own full lifecycle delivery of complex features, from architectural planning and API design to implementation and post-release observability.
• Ensure high availability and observability of our services; improve alerting, logging, and incident response across the stack.
• Set and uphold strong engineering standards via code reviews, technical mentorship, and design documentation.
• Lead technical design reviews and system decomposition efforts across teams.
• Proactively identify risks and gaps in operational or architectural resilience, and drive durable improvements.
• Collaborate closely across AI and engineering to reduce knowledge silos and ensure continuity in critical systems through cross-training and documentation.
• Design and implement robust testing mechanism and validation strategies to ensure compliance with our Quality Management System and regulatory standards 
• Contribute to the necessary technical documentation required for regulatory submissions.

Requirements 

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field (or equivalent experience).
• 8–12 years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar).
• Demonstrable capability in designing, implementing, and securing RESTful web services
• Experience in MLOps orchestration and cloud deployment (Docker, Kubernetes).
• Experience with AWS, GitHub, and continuous integration pipelines
• Proven track record of architecting and delivering scalable systems in production environments.
• Experience mentoring engineers and raising the technical bar through reviews and design feedback.
• Strong systems thinking with the ability to evaluate tradeoffs in scalability, reliability, and maintainability.
• Experience designing for observability and operational excellence (e.g., logs, alerts, dashboards, runbooks).
• Comfortable operating in ambiguity and driving clarity across product, engineering, and business stakeholders.

Preferred:

• Experience designing and optimizing end-to-end medical imaging pipelines in a production environment and familiarity with HIPAA/HITRUST security requirements.
• Hands-on experience with Computer Vision and Deep Learning techniques used for medical image processing.

The base salary range for this role varies by location and is aligned to market benchmarks.

• Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range.
• Final compensation is determined based on location, experience, skills, and internal equity.

This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges:

• Base Salary: $153,000 - $179,000
• TTC: $176,000 - $206,000

*Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards.