About the Role

As a seasoned Infrastructure Engineer, you will design, manage, and scale our high-performance computing environments. This role bridges the gap between traditional system
administration and modern platform engineering, focusing on reliability, automation, and the stringent security requirements of the financial services industry. You will be responsible for a
hybrid ecosystem that spans AWS cloud and on-premise systems, ensuring 99.99% uptime for mission-critical services and transactions.

What You’ll Do

• Linux Systems Engineering: Design and manage high-performance Linux environments including Ubuntu, RHEL, or Amazon Linux. Focus on tuning for low-  latency financial applications and system-level hardening
• Infrastructure as Code (IaC): Architect and maintain scalable cloud infrastructure using Terraform and Ansible, treating infrastructure as a software project with version control
  and peer reviews
• Hybrid Networking: Manage connectivity between cloud environments and on-premise systems, focusing on secure VPC design, VPNs, and routing
• On-Premise Management: Manage physical switches, routers, and firewalls, with an understanding of multicast, VLANs, and interface aggregation
• CI/CD & Release Engineering: Build and optimize deployment pipelines to ensure system updates, patches, and application code are deployed safely and frequently
• Observability & Reliability: Implement comprehensive monitoring (using Prometheus, Loki, and Grafana) to track system SLIs/SLOs and implement automated alerting or self-
  healing scripts
• Container Platform Management: Support and scale Docker / Podman environments, focusing on pod networking and container runtimes
• Infrastructure Security: Implement "shift-left" security, including OS-level hardening (SELinux, AppArmor), automated vulnerability scanning, and IAM policy refinement

What You’ll Need

• Education: Bachelor’s degree in Computer Science, Engineering, IT, or a related field
• Systems Expertise: 3+ years of experience in Linux Administration or Infrastructure Engineering
• System Internals: Deep knowledge of system performance profiling (e.g., top, iostat, strace) and comfort with Linux system fundamentals (i.e. Systemd, LVM, and Cron)
• Automation Proficiency: Strong proficiency in Ansible and Terraform for infrastructure and system automation. Bash and/or Python experience for custom tooling as required
• Cloud & Networking Fundamentals: Hands-on experience with AWS Networking fundamentals (VPCs, Routing Tables, and Nat Gateways). Solid understanding of TCP/IP, DNS, and routing protocols like BGP or OSPF
• Container Runtime: Experience with container runtimes in a Production environment (Docker / Podman, Docker Compose). Kubernetes experience is a plus
• Problem Solving: Ability to perform root-cause analysis on complex distributed systems
  
  Applicants must be authorized to work for any employer in the U.S. DriveWealth is unable to sponsor an employment Visa at this time.

Special Knowledge (Nice to Have, But Not Required)

• Compliance Knowledge: Experience working within regulated environments such as SOC2, or FINRA
• High-Availability Architecture: Experience building multi-region, failover-capable architectures for mission-critical financial transactions
• SDLC Architecture: Architecting deployment pipelines using GitHub actions, familiarity with AWS Secrets Manager for managing sensitive secrets, and other DevOps toolchain
  services
• Fintech Protocols: Basic understanding of financial messaging or low-latency requirements, such as FIX protocol
• Security & Application Tuning: Experience with WAF, DDoS mitigation strategies, and tuning edge application services such as HAProxy
• Certifications: CompTIA Linux+, RHCSA/RHCE, or AWS SysOps Administrator

About Parloa

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.

About the role:

As a Forward Deployed Engineer, DevOps, your mission is to build and scale the dedicated infrastructure that powers our custom agent integrations for our most important customers. You will be the key technical cornerstone of our team, empowering our customer-facing Forward Deployed Engineers to build, deploy, and manage bespoke client solutions with speed and confidence. By creating a robust, automated, and self-service platform, you will directly enable the rapid delivery of high-quality, reliable custom services. 

Areas of ownership:

• Design, build, and maintain the cloud infrastructure specifically for hosting custom services developed by the Agent Integration Engineering team.
• Create flexible and reusable CI/CD pipeline templates that the integration team can easily adopt to automate the deployment of their services.
• Champion Infrastructure as Code to create standardized, yet customizable, service environments, ensuring consistency and rapid provisioning for new integrations.
• Manage a Kubernetes-based environment tailored for hosting a multitude of diverse integration services, focusing on security, isolation, and resource management.
• Implement robust monitoring and observability solutions to provide the integration team with deep visibility into the performance and health of their specific services.
• Serve as the primary DevOps partner for the Forward Deployed Engineering team, understanding their workflow, anticipating their needs, and removing infrastructure-related obstacles.
• Develop automation scripts (Python, Go, Bash) to streamline the entire lifecycle of custom integration services, from creation to decommissioning.
• Support and modernize legacy Azure infrastructure, helping transition workloads to a standardized, Kubernetes-based platform aligned with Parloa’s Engineering practices.

Who you are:

• 5+ years of professional experience in DevOps, infrastructure engineering, or a similar role.
• A strong customer-first mindset, viewing the Forward Deployed Engineering team as your primary customer.
• Proficiency in at least one scripting or programming language like Python, Go, or Bash.
• Hands-on expertise with a major cloud provider (AWS, GCP, or Azure).
• Advanced knowledge of containerization and orchestration, specifically Kubernetes, Helm, and Docker.
• Proven experience creating flexible CI pipelines with tools like Jenkins, GitHub Actions, or GitLab CI, and CD/GitOps workflows with tools like Argo CD.
• A strong background in Infrastructure as Code (Terraform is highly preferred).
• Experience building self-service tools and platforms that empower specific development teams.

Our recruiting process:

TA Screen → Hiring Manager Call → Technical Interview → Bar Raiser

Salary ranges includes OTE

Why Parloa?

We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale—and want your work to matter in real, everyday moments—this is where you do it.

At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.

We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.

Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.

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.

Location: Preferably Hybrid (Local to NYC area) or Remote (For Non-Local)

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 Platform Developer 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:

• Develop and support 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.
• Contribute to 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.
• Adopt Agile/Scrum methodologies, actively participating in sprint planning, stand-ups, and retrospectives.
• 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.

Requirements

• 5+ years of experience as a Platform Engineer, DevOps Engineer, or Site Reliability Engineer.
• Strong 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

The New York Times is looking for a Senior Data Engineer to join the Customer-Facing Data Products team to develop real-time data pipelines and APIs that process events and serve aggregated data for customer-facing use cases. You will report to the Engineering Manager for the Customer-Facing Data Products team and build widely reusable solutions to help partner teams solve our most important real-time needs, including behavioral and targeting use cases.

This is a hybrid role based in our New York City headquarters.

Responsibilities:

Basic Qualifications:

• 5+ years of full-time data engineering experience shipping real-time solutions with‬‭ event-driven architectures and stream-processing frameworks
• Experience with cloud native architectures (AWS preferred), including service offerings and tools
• Understanding of modern API design principles and technologies, including REST,‬‭ GraphQL, and gRPC for data serving
• Programming fluency with Python
• Experience using version control and CI/CD tools, such as Github Actions and Drone

Preferred Qualifications:

• Experience developing streaming pipelines with Apache Kafka, Apache Flink, or Spark‬‭ Streaming
• Experience building APIs using Python frameworks (FastAPI, Flask)
• Experience with SQL
• Understanding of modern data platforms including data lakehouse‬‭ and medallion architectures
• Experience collaborating with product and partners to meet shared goals
  
  

This role will require limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables.

#LI-Hybrid

REQ-020049

About the Role:

Machine Learning (ML) at the New York Times enhances the experience of our 150 million digital readers from around the globe and grows our subscriber base through content recommendations and personalizations.

The Machine Learning & AI team builds and maintains the infrastructure that hosts all of The New York Times real-time ML inference models, including both data and compute. Our partners are Data Scientists that build and deploy their ML models on the ML platform. On the other end, our partners are engineering systems that call these hosted models at scale with low-latency and Service Level Agreements guaranteed by our platform.

As an MLOps Engineer you will partner with product, data science and ML platform engineers to build and maintain the infrastructure that powers the machine learning lifecycle. You will automate and refine the training, deployment, monitoring, and management of our ML models.

This role reports to the Senior Engineering Manager of Data Management Infrastructure.

Responsibilities:

• Build and Automate ML Pipelines: by owning robust CI/CD pipelines for automated model training, validation, deployment, and retraining.

• Productionalize Models: Build the process for packaging, containerizing, and deploying ML models as scalable, low-latency, and highly-available services.

• Monitoring and Operations: Implement and manage comprehensive monitoring for production models, tracking system health, data drift, and model performance degradation.

• Tooling and Infrastructure: Manage and evolve our MLOps toolchain, including model registries, feature stores, experiment tracking systems, and model serving platforms.

• Collaboration and Support: Partner with data scientists to understand model requirements and optimize them for production. Support software engineers in integrating with ML services.

• Best Practices and Governance: Champion and enforce MLOps best practices for reproducibility, versioning (data, code, model), testing, and governance.

• Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.

Basic Qualifications:

• 2+ years of software engineering or DevOps experience with a focus on MLOps, automation, and infrastructure

• 2+ years of experience programming in Python or Go

• Experience building and managing CI/CD pipelines (e.g., Github Actions, Jenkins, GitLab CI)

• Hands-on experience with containerization and orchestration (e.g., Docker, Kubernetes)

• Cloud platform experience (AWS, GCP) and familiarity with infrastructure-as-code (e.g., Terraform, CloudFormation)

Preferred Qualifications:

• Experience with MLOps tools (e.g., MLflow, Kubeflow)

• Experience with the machine learning model lifecycle, from experimentation to production

• Experience with data processing frameworks (e.g., Spark, Dask, or Ray)

• Experience with low-latency no-sql datastores (BigTable, Dynamo, etc)

• Familiarity with monitoring and observability stacks (e.g., Prometheus, Grafana, Datadog, or ELK)

• Knowledge of data engineering pipelines and orchestration tools (e.g., Airflow, Prefect)

REQ-019522

#LI-hybrid

About the Role:

The position of the Data Engineer will be part of the Partner Revenue team that develops and deploys data platforms for advanced analytics and data processing. The Data Engineer defines and builds the data pipelines to promote faster, better, data-informed decision-making within the business.

The role is a hybrid position requiring 3 days a week in the office. You will report to the Director of Partner Revenue Technology.

Responsibilities:

• You will develop scalable data and ETL solutions
• You will develop scalable data platform components
• You will support existing platforms and implement data pipelines that ingest, transform, and curate data
• You will support any future migrations to new platforms using cloud-based technologies
• Demonstrate support and understanding of our value of journalistic independence and a commitment to our mission to seek the truth and help people understand the world

Basic Qualifications:

• 2+ years knowledge and experience in SQL for querying and data modeling
• 2+ years experience with any ETL frameworks or tools preferably Pentaho Data Integration or similar tools
• Demonstrated programming skills in Python and Shell scripting or similar language

Preferred Qualifications:

• Knowledge in data modeling and data warehouse concepts and have technical abilities to develop and debug complex code using AWS/GCP cloud infrastructure
• Experience with ETL Tools, Shell scripting, SQL, Python, Java, Airflow, dbt with the understanding of data flows, data warehouse architecture, ETL concepts and processing of structured and unstructured data
• Proven knowledge of CI/CD practices and version control (Git)
• Demonstrated ability to code with VSCode or similar IDE tools with the ability to use AI coding assistant tools such as cursor and github copilot

About the Role

The Developer Platforms mission at The New York Times builds the foundational platforms, tooling, and paved paths that help product teams ship high‑quality experiences quickly and safely. Our Application Delivery team provides the shared software delivery platform (CI/CD and artifact management) and deployment workflows used by many product teams across the company.

We're looking for a Staff Software Engineer to lead the technical direction of software delivery as a product.

This is a hybrid role based two days in our New York City headquarters. You will report to the Engineering Manager of the DevEx Application Delivery team.

Responsibilities

• Lead the technical direction of software delivery as a shared product: shape paved paths in our platform that improve code health, release quality, and delivery speed for product teams
• Collaborate with Product, engineering leaders, and internal users to shape the roadmap for the delivery platform and bring measurable impact on quality and speed.
• Deliver scalable, secure, and observable software delivery systems and workflows that improve reliability, and overall software quality and velocity.
• Champion engineering excellence in delivery by setting best practices for testing, deployment strategies, progressive delivery, and observability that are easy to adopt through the platform.
• Mentor engineers across the mission, contribute to hiring, and help foster an inclusive, collaborative engineering culture centered on shared platforms and high‑quality software delivery.
• Demonstrate support and understanding of our value of journalistic independence and a commitment to our mission to seek the truth and help people understand the world.

Basic Qualifications

• 7+ years of experience building the technical strategy and driving CI/CD(Github Actions, Argo CD or equivalent) and software delivery with broad organizational impact beyond operations
• Demonstrated proficiency in building and maintaining production services in one or more general‑purpose programming languages (e.g., Go, Python, TypeScript/Node.js, or Java), including code review and debugging complex issues
• 7+ years of experience with containers, Kubernetes, package management tools(Helm or equivalent), IAC tools(Terraform or equivalent), Gitops‑based deployment workflows and cloud services such as AWS, GCP
• Proficiency in GenAI‑assisted developer tooling (e.g., Cursor, Copilot, or Claude Code) and passion for improving software delivery by leveraging these tools
• Experience leading cross‑team technical work, communicating trade‑offs, and building understanding among diverse partners including Product, platform, and product engineering teams
• Experience mentoring engineers and contributing to an inclusive, collaborative engineering culture

Preferred Qualifications

REQ-019637

#LI-Hybrid

About the Role:

The New York Times is seeking a senior front-end developer with experience in agentic AI development to join one of several teams that make up the Messaging Platforms group.

Your work will directly empower the Times to deliver breaking news and engage millions of readers worldwide. As we expand and replatform the core tools used by our editors and partners, you will have a unique opportunity to build significant new capabilities within a mission-driven organization. You'll join a collaborative group of engineers, designers, and product managers who prioritize empathy, innovation, and a shared responsibility for our collective success.

Our front-end code is written in React, while most of our backend code is Go. Services are deployed using CI/CD tools like GitHub Actions, and our infrastructure, which is hosted in Google Cloud (GCP) and Amazon Web Services (AWS), is provisioned with Terraform.

Responsibilities:

• Help lead the effort to modernize front-end tools using agentic workflows to accelerate development cycles while maintaining high architectural standards.
• Provide front-end expertise and coaching on AI-assisted development, helping the team adapt their workflows to spend more time on system design and less on routine implementation.
• Contribute to the full development lifecycle of our products, performing activities related to design, development, testing, deployment, monitoring, within a collaborative, distributed team.
• Partner with engineers, designers, and product managers across the organization to build user-friendly messaging capabilities.
• Ensure code quality and architectural health through static analysis, automated testing, and optimization for agentic development patterns.
• Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.
• You will report to an Engineering Manager in the Messaging Platforms group.

Basic Qualifications:

• 5+ years of experience with front-end fundamentals (HTML/CSS/JavaScript/TypeScript), performance, accessibility, and best practices
• Expertise in modern frameworks (eg. React, Redux, CSS modules, ReactDOM)
• Proficiency with JavaScript tooling (eg. Vite, Babel, pnpm, Webpack) and Node.js/GraphQL
• 2+ years of full-stack experience, including back-end languages (Go preferred) and SQL
• Hands-on experience with agentic or AI-assisted coding tools (e.g., Claude Code or Cursor) including the ability to effectively direct, iterate on, and verify AI-generated output

Preferred Qualifications:

• Experience developing and maintaining custom AI agents or automated developer workflows
• Experience with evaluation frameworks for AI-generated code, including the use of automated checks, regression testing, or LLM-based grading to ensure architectural consistency at scale
• A nuanced understanding of the trade-offs and complexities involved in LLM orchestration, including a focus on cost, token usage, and the limitations of current agentic frameworks in front-end environments
• Experience building, operating, and monitoring web systems in GCP or AWS
• Experience with Prosemirror and/or Apollo

This role may require limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables.

#LI-Hybrid

REQ-019925

About the Role, Mission or Department Overview

The New York Times is looking for a Senior QA Engineer to join our Games team. You will be at the heart of our mission to deliver immersive, world-class gaming experiences. You will lead our offshore QA partners, refine manual testing processes, and architect automation frameworks that ensure the quality of our diverse games suite.

As a Senior member of the team, you will advocate for a "shift-left" testing philosophy - collaborating with Product, Design, and Engineering from the initial creative phase through the entire development lifecycle. You'll join a culture that values transparency, diversity, and learning.

You will report to the Senior QA Manager.

Responsibilities:

• Architect and build a comprehensive testing strategy that balances manual oversight of offshore teams with the development of scalable automation.
• Develop automated test suites using Playwright for web and XCUITest/Espresso for mobile apps.
• Partner early with Product, Design, and Engineering to identify potential issues during the requirements and design phases, ensuring you bake quality in from the start.
• Be a primary contact for our offshore QA crew, providing technical guidance, reviewing test plans, and ensuring high-quality execution.
• Identify bottlenecks in the development lifecycle and implement process improvements to increase release velocity without sacrificing quality.
• Work within an Agile environment to provide clear, relevant feedback and bug reports, participating in code reviews and sprint planning.
• Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.

Basic Qualifications:

• 5+ years of experience in software quality engineering, with at least 2 years in a Senior or Lead capacity.
• Experience building and scaling test frameworks using Playwright (or equivalent experience with Cypress or Selenium).
• Hands-on experience with native mobile automation tools, specifically XCUITest (iOS) and Espresso (Android).
• Command of at least one modern programming language (e.g., JavaScript/TypeScript, Swift or Kotlin).
• Experience with exploratory testing, regression testing, and test case management.
• Experience collaborating and communicating with cross-functional teams.

Preferred Qualifications:

• Previous experience testing mobile or web-based games, including familiarity with multi-player games and UI/UX consistency.
• Experience integrating automated tests into deployment pipelines (e.g., GitHub Actions, Drone, or Terraform).
• Familiarity with tools like k6, JMeter, or Postman to test backend reliability and load capacity.
• Experience with cloud-based testing platforms like BrowserStack or Sauce Labs.
• Interest in the evolving AI landscape, with a willingness to explore, pilot, and implement AI-assisted tools that enhance our development and testing processes.
• A growth-oriented mindset: You embrace technical challenges, learn from mistakes, and are eager to share your findings to help the whole team level up.

This is a hybrid remote/in-office role based in our New York headquarters.

#LI-Hybrid

REQ-019767

About the Role

The Quality Engineering team at The New York Times is hiring a QA Engineer. You will work with software engineers, DevOps, product managers, and designers to support quality across our web, mobile, and API platforms.

You will develop automated test frameworks, strengthen CI/CD reliability, and improve release confidence through scalable automation practices.

This role is hybrid and based in New York City, with an expectation of two days per week in the office. You will report to the Senior QA Manager.

Responsibilities:

• Design automated testing frameworks in Python for APIs, web, and mobile applications
• Develop and integrate automated test workflows into CI/CD pipelines
• Improve test reliability, execution speed, and coverage across environments
• Develop scalable test environments using containerization and cloud infrastructure
• Collaborate with engineering, DevOps, and product teams to define test strategies early in the development lifecycle
• Integrate logging, monitoring, and metrics into testing workflows to improve defect detection and release confidence
• Contribute to documentation and standards for automation and TestOps

Basic Qualifications:

• 3 years of experience in test automation, software engineering, or quality engineering
• Proficiency in Python and experience building maintainable automation frameworks
• 3 years of experience with modern test automation tools such as PyTest, Playwright, Selenium, or Appium
• 3 years of experience testing REST, GraphQL, or gRPC APIs
• Hands-on experience integrating automated tests into CI/CD pipelines (e.g., GitHub Actions, Jenkins, GitLab CI)
• 3 years of experience with Docker and familiarity with Kubernetes
• 3 years of experience working in cloud environments (AWS, GCP, or Azure)

Preferred Qualifications:

• Experience with mobile test automation
• Experience with test environment provisioning and infrastructure-as-code
• Familiarity with AI-assisted coding tools (e.g., GitHub Copilot, Cursor, Claude) in software development workflows
• Experience improving observability or quality metrics within engineering teams

#LI-Hybrid

REQ-019672

As a DevOps Engineer at Octus, you will play a crucial role in the development, implementation, and maintenance of the cloud infrastructure for our products. This position involves close collaboration with Application Developers, Data Engineers, SRE, Security, and IT professionals to automate and streamline operations and processes. Your contributions will be essential in ensuring the reliability, scalability, and security of our systems and applications.

Core Responsibilities:

• Design, implement, and maintain CI/CD pipelines to automate the build, test, and deployment processes.
• Effectively prioritize workload with a constant focus on increasing developer efficiency.
• Manage and optimize cloud infrastructure to ensure scalability, performance, and cost-effectiveness. Experience with AWS is a plus.
• Work closely with SRE to develop and maintain monitoring and alerting systems to ensure the health and performance of our systems and applications.
• Work closely with Security to implement and enforce security best practices across our infrastructure and applications.
• Collaborate with software developers to optimize application performance and reliability.
• Participate in the planning and execution of disaster recovery and business continuity strategies.
• Effectively communicate with stakeholders to provide updates on project statuses, issues, and recommendations.
• Participate in on-call rotation to provide system support.

Core Requirements:

• At least 5 years of experience in a DevOps role.
• At least 2+ years of experience with Terraform.
• Expert knowledge of cloud concepts and services (EC2, ECS, S3, RDS, A/ELB, EBS, VPC, Route53 or equivalent).
• Expert level knowledge of Linux. Strong scripting skills for automation and tooling.
• Ability to troubleshoot, diagnose, resolve & document RCA of incidents.
• Good knowledge of database configuration, concepts, maintenance, and troubleshooting.
• Thorough understanding of Security principles and experience in designing, implementing, monitoring proper controls.
• Extensive experience with Infrastructure-as-code & configuration management tools (Terraform, SaltStack or equivalent).
• Experience with containerization technologies such as Docker and orchestration tools like Kubernetes, ECS including managing microservices architectures.
• Knowledge of CI/CD tools such as Jenkins, Github Actions or equivalent.
• Experience with monitoring and logging tools such as Datadog, Cloud Watch or equivalent.
• Excellent communication skill, with the ability to effectively collaborate with cross-functional teams.

At Octus, we consider a range of factors in connection with compensation decisions, including experience, skills, location, and our business needs and limitations. As a result, compensation may vary within and across similar roles and positions. Please note that the salary range information below is a good faith estimate for this position and actual compensation for any individual may fall outside this range if warranted by the circumstances applicable to that individual. If we identify a role that would be suitable for a broader range of skills and experience such that we would consider hiring at multiple levels then the range listed below may reflect that breadth.

The salary range estimate for this position is $165,000 - $190,000.

The actual compensation will be at Octus' sole discretion and will be determined by the aforementioned and other relevant factors.

The ideal candidate is local to and interested in working from any of our offices (Silver Spring, NYC, SF, Miami, Denver) local to them 1-2x per week.

ABOUT ROCKET MONEY 🔮

Rocket Money’s mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

ABOUT THE TEAM 🤝

Team Boost sits at the intersection of user-facing performance and developer productivity. We make Rocket Money fast and reliable for the millions of people who use it, and we make the codebase a joy to work in for the engineers who build it. We own the tooling, infrastructure, and best practices that help every engineer at Rocket Money ship faster and with more confidence.

If you're the kind of engineer who gets excited about shaving milliseconds off app startup time, seconds off a critical database query, and minutes off a colleague’s feedback loop, this is the team for you. The unique challenge of Team Boost is holding developer experience and user experience in alignment, and we hold a sincere belief that the best outcomes happen when we make it easy for engineers to build performant software by default.

IN THIS ROLE, YOU'LL:

• Make the right thing the easiest thing: Identify developer friction points like slow type-checking, confusing test infrastructure, or painful onboarding and eliminate them through documentation, tooling, and automation.
• Lead large-scale initiatives with precision and clarity: Write RFCs for projects related to our mission, build consensus across teams, and systematically execute architectural changes across the codebase.
• Hunt down performance bottlenecks across the full stack: profile, instrument, and resolve issues spanning client rendering performance, GraphQL latency, and database query performance.
• Raise quality and confidence through automation: Improve code quality across the engineering organization by authoring custom lint rules, maintain code generation pipelines that ensure type safety across packages, tune and maintain CI workflows to be both thorough and fast, and ensure that quality gates catch real issues rather than slow developers down.
• Keep the foundation solid: Upgrade and maintain critical dependencies across a large dependency graph by navigating breaking changes in tools and manage pnpm catalogs, patches, and overrides to keep ~20 packages building cleanly.

ABOUT YOU 🦄

• You have 5+ years of professional experience working with some combination of Node/TypeScript, React, React Native, GraphQL, and Postgres (or similar relational database).
• You have a passion for performance and observability: improving load times, digging into metrics and traces to diagnose issues, or speeding up CI pipelines all sound like fulfilling projects. Experience with GitHub Actions, E2E testing frameworks, or mobile-specific concerns like over-the-air updates and native build tooling is a plus.
• You're comfortable working across the full stack and diving deep into unfamiliar systems to understand how they work and how to make them better, whether that’s tracing a performance regression through GraphQL resolvers, ORM models, or caching layers. Bonus points for hands-on experience with large-scale TypeScript + GraphQL stacks and pnpm workspaces.
• You've led or participated in large-scale codebase migrations where “just rewrite it” wasn’t an option. You understand the technical and social challenges that come with new tooling and processes, and how to break massive changes into safe, incremental steps.
• You're both a student and a teacher, curious about new tools and technologies, eager to share what you learn through RFCs and technical strategy docs, and energized by the ambiguity that comes with a growing engineering organization.
• You think about developer feedback loops as a product: how long does it take from saving a file to seeing the result, from pushing a commit to getting CI feedback, and you thrive on measuring these processes and then working to systematically shrink them.

WE OFFER 💫

• Health, Dental & Vision Plans
• Life Insurance
• Long/Short Term Disability
• Competitive Pay
• 401k Matching
• Team Member Stock Purchasing Program (TMSPP)
• Learning & Development Opportunities
• Tuition Reimbursement
• Unlimited PTO
• Daily Lunch, Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)

Additional Information: Salary range of $150,000 - $185,000/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

About the Role

Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.

Developer Productivity owns the end-to-end experience of how engineers and researchers at Anthropic develop, build, test, and ship code at scale — from the source control and language ecosystems that underpin our monorepo, to the build and CI infrastructure that keeps thousands of daily builds running reliably across multiple cloud providers, to the developer acceleration tooling that deeply integrates Claude into engineering workflows.

Team Matching: Team matching is determined after the interview process based on interview performance, interests, and business priorities. Please note we may also consider you for different Infrastructure teams. 

Responsibilities:

• Own the technical strategy and roadmap for your area, translating team-level goals into concrete execution plans
• Define infrastructure architecture, ensuring the hardest problems get solved — whether by you directly or by working through others
• Design and build scalable, reliable distributed infrastructure and shared libraries that support high-volume workloads across all engineering teams
• Own and evolve build environments, package management, and dependency systems to enable fast, reproducible builds
• Define and implement language ecosystem standards, tooling, and frameworks that drive developer productivity across research and production workloads

You may be a good fit if you:

• Have deep experience with build systems, CI/CD pipelines, and/or developer tooling in a large monorepo environment
• Have strong proficiency in Python, Rust and/or Go
• Are obsessed with developer productivity and reducing friction in the software development lifecycle
• Have experience with container orchestration and infrastructure at scale
• Have excellent communication skills and enjoy supporting internal partners to improve their development experience
• Are excited about designing foundational systems and are comfortable working independently on ambiguous, high-impact technical challenges

Strong candidates may have:

• 15+ years (not including internships or co-ops) of experience in a Software Engineer role, building and operating large-scale developer infrastructure
• 3+ years (not including internships or co-ops) of experience leading large scale complex projects or teams as a tech lead
• Experience with CI orchestration tools (Buildkite, Jenkins, GitHub Actions, or similar) and merge queue management at scale
• Experience building or operating remote build execution systems (Bazel Remote Execution API, BuildBarn, BuildBuddy, or similar)
• Experience with Nix/NixOS/Docker and managing large image / package sets at scale
• Experience building CLI tools, developer-facing services, and GitHub API and automation workflows

Deadline to apply: None. Applications will be reviewed on a rolling basis.

About the job

Flex is looking for a Software Engineer who will be responsible for implementing the various backend systems that support all business features.

In this role, you will be part of the backend engineer team, responsible for the services and integrations that power our products, such as Payment, Billing, Identity, partner integration, etc. You’ll be designing, developing, testing, and scaling systems needed to deliver great user and partner experiences.

You’ll work closely with your product, design and engineering peers to solve our users' most pressing problems around rent payment. You’ll roll out changes to our customers in an agile manner with a delivery cadence that favors small, frequent iterations. The ideal candidate will be comfortable leading scoping, design and implementation for APIs they build and can drive their production rollouts to completion with minimum oversight.

A minimum of 4 years of experience with Java is required for this position.

Minimum Qualifications

• Minimum of 6 years experience in software engineering
• Minimum of 4 years experience with Java
• Ability to work on a globally-distributed team with a high degree of ownership
• Experience working with technical and non-technical stakeholders, successfully aligning and setting expectations on scope and delivery
• Ability to grow in a fast-paced and dynamic environment that will challenge you to always bring your best
• Experience building robust, fault-tolerant systems with multiple external dependencies
• Experience designing, building, and maintaining data pipelines
• Proficient in Java frameworks and tools used at Flex, including Spring (core/web/boot), Gradle, JUnit, and JVM (memory/performance tuning, GC).
• Experience with Service-Oriented Architecture, REST APIs, Message Queues, and scalable architectures.
• Experience with AWS (EKS, Aurora RDS, Elasticache, DynamoDB) and containerization tools.

Preferred Qualifications

• Proficient in CI/CD systems (preferably GitHub Actions), git, and automation.
• Skilled in observability and monitoring tools, such as DataDog, to ensure high availability.
• Experienced with big data platforms and tooling, including Snowflake.
• Proficient in Infrastructure as Code, using tools like CDK and Terraform.
• Skilled at elevating team standards through best practices, and mentoring junior engineers.
• Excellent written and verbal communicator, with experience in cross-functional collaboration.

• Tier 1 (NYC/SF/Seattle): $172,000—$212,000 USD
• Tier 2: $154,800—$193,500USD
• Tier 3: $146,200—$182,740 USD

#LI-Remote

Flex is looking for a Staff level Engineer to join our dynamic team and play a pivotal role in accelerating our growth trajectory. In this role, you will be instrumental in developing and scaling the platform and app experiences that empower our users and partners, unlocking our next phase of 10x growth.

What You'll Do:

• Focus on creating exceptional user and partner experiences that drive engagement and retention.
• Partner closely with product managers, designers, and data scientists, data analysts to identify and solve critical user onboarding challenges.
• Design, develop, test, and deploy robust APIs, services and data pipelines that enhance user onboarding and overall platform experience.
• Implement changes through an agile methodology, prioritizing rapid iteration and continuous improvement.
• Utilize data and analytics to measure the impact of your work and identify opportunities for optimization.

Qualifications

Minimum Qualifications

• 7+ years of professional software development experience.
• 3+ years of hands-on experience with Java.
• 3+ years of experience with React or React Native.
• 3+ years of experience with TypeScript.
• Having experience building high-quality mobile and web UIs to specifications is a must to have.
• Proficient in Java frameworks and tools used at Flex, including Spring (core/web/boot), Gradle, JUnit, and JVM (memory/performance tuning, GC).
• Experience with Service-Oriented Architecture, REST APIs, Message Queues, and scalable architectures.
• Experience with architectures and tools in React Native and React ecosystems (Hooks, Components, Context, Redux).
• Experience with AWS (EKS, Aurora RDS, Elasticache, DynamoDB) and containerization tools.

Preferred Qualifications

• Have the experience to build and improve user onboarding funnel and design the comprehensive experiment to drive metric improvements.
• Proficient in CI/CD systems (preferably GitHub Actions), git, and automation.
• Skilled in observability and monitoring tools, such as DataDog, to ensure high availability.
• Experienced with big data platforms and tooling, including Snowflake.
• Proficient in Infrastructure as Code, using tools like CDK and Terraform.
• Skilled at elevating team standards through best practices, and mentoring junior engineers.
• Excellent written and verbal communicator, with experience in cross-functional collaboration.

• Tier A (NYC/SF/Seattle): $200,000—$250,000 USD
• Tier B: $180,000—$225,000 USD
• Tier C: $170,000—$212,000 USD

Flex is looking for an Engineer to join our dynamic team and play a pivotal role in accelerating our growth trajectory. In this role, you will be instrumental in developing and scaling the platform and app experiences that empower our users and partners, unlocking our next phase of 10x growth.

What You'll Do:

• Focus on creating exceptional user and partner experiences that drive engagement and retention.
• Partner closely with product managers, designers, and data scientists, data analysts to identify and solve critical user onboarding challenges.
• Design, develop, test, and deploy robust APIs, services and data pipelines that enhance user onboarding and overall platform experience.
• Implement changes through an agile methodology, prioritizing rapid iteration and continuous improvement.
• Utilize data and analytics to measure the impact of your work and identify opportunities for optimization.

Qualifications

Minimum Qualifications

• 5+ years of professional software development experience.
• 3+ years of hands-on experience with Java.
• 3+ years of experience with React or React Native.
• 3+ years of experience with TypeScript.
• Having experience building high-quality mobile and web UIs to specifications is a must to have.
• Proficient in Java frameworks and tools used at Flex, including Spring (core/web/boot), Gradle, JUnit, and JVM (memory/performance tuning, GC).
• Experience with Service-Oriented Architecture, REST APIs, Message Queues, and scalable architectures.
• Experience with architectures and tools in React Native and React ecosystems (Hooks, Components, Context, Redux).
• Experience with AWS (EKS, Aurora RDS, Elasticache, DynamoDB) and containerization tools.

Preferred Qualifications

• Have the experience to build and improve user onboarding funnel and design the comprehensive experiment to drive metric improvements.
• Proficient in CI/CD systems (preferably GitHub Actions), git, and automation.
• Skilled in observability and monitoring tools, such as DataDog, to ensure high availability.
• Experienced with big data platforms and tooling, including Snowflake.
• Proficient in Infrastructure as Code, using tools like CDK and Terraform.
• Skilled at elevating team standards through best practices, and mentoring junior engineers.
• Excellent written and verbal communicator, with experience in cross-functional collaboration.

• Tier A (NYC/SF/Seattle): $172,000—$210,000 USD
• Tier B: $154,000—$190,000 USD
• Tier C: $146,000—$180,000 USD

About the role

Flex is looking for a Senior Software Engineer to join our Risk Engineering team. This role involves spearheading the implementation of platforms and APIs crucial for supporting business features within the risk management domain.

The Risk Engineering team is dedicated to mitigating both credit risk, fraud risk, and risk for launching new products. Our mission is to enhance Flex app accessibility for customers while safeguarding against improper use and unauthorized access by identifying and preventing misuse across all core product areas.

Following are some projects/systems in Risk Platform you will have opportunities to work with:

• Core decision platform which is an end-to-end solution for the enterprise decision management lifecycle, including business rule management, analytics, process management, and ML/AI.
• Event data stream ingestion which supports near real-time fraud rules setup. 
• Advanced a/b testing and experimentation capabilities for our customers so they can leverage greedy algorithms and fight fraud. 

What You'll Do:

• Build decision platform / machine learning solutions to respond to/mitigate business risks in Flex.
• Design and develop 24/7 high-scale APIs and distributed systems. The tech stack will be on AWS. Java would be the language for the existing code base. Java Spring Boot will be the framework. 
• Work closely with product, design, and engineering peers to launch new features across our web and mobile platforms 

Qualifications

Minimum Qualifications

• Must-have: Experience working in a risk engineering team, specializing in rules engine architecture or risk/credit/fraud systems.
• 6+ years of professional software development experience.
• 5+ years of hands-on experience with Java.
• 2+ years of experience with React or React Native.
• 2+ years of experience with TypeScript.
• Having experience building high-quality mobile and web UIs to specifications is a must to have.
• Proficient in Java frameworks and tools used at Flex, including Spring (core/web/boot), Gradle, JUnit, and JVM (memory/performance tuning, GC).
• Experience with Service-Oriented Architecture, REST APIs, Message Queues, and scalable architectures.
• Experience with architectures and tools in React Native and React ecosystems (Hooks, Components, Context, Redux).
• Experience with AWS (EKS, Aurora RDS, Elasticache, DynamoDB) and containerization tools.

Preferred Qualifications

• Proficient in CI/CD systems (preferably GitHub Actions), git, and automation.
• Skilled in observability and monitoring tools, such as DataDog, to ensure high availability.
• Experienced with big data platforms and tooling, including Snowflake.
• Proficient in Infrastructure as Code, using tools like CDK and Terraform.
• Skilled at elevating team standards through best practices, and mentoring junior engineers.
• Excellent written and verbal communicator, with experience in cross-functional collabo

• Tier A (NYC/SF/Seattle): $172,000—$210,000 USD
• Tier B: $154,000—$190,000 USD
• Tier C: $146,000—$180,000 USD

At CoreWeave, we don’t box people into rigid job titles—we look for exceptional engineers and match them to the work that excites them most. Instead of measuring you against a narrow checklist of qualifications, we hire based on broad technical domains and use our interview process to determine where you’ll have the biggest impact.

Tell us what interests you most, and throughout the hiring process, we’ll get a sense of your strengths, expertise, and aspirations. If you join CoreWeave, you’ll land on the team where you can do your best work—driving innovation, solving complex problems, and shaping the future of cloud computing.

What You’ll Do:

At CoreWeave, infrastructure isn’t just a foundation, it’s a product. We build scalable, high-performance computing systems that power the largest AI workloads in the world. We’re looking for Engineers that thrive at the intersection of software and systems, deploying and managing large scale bare metal compute.

Within this domain, you’ll design and build software that manages complex infrastructure across globally distributed datacenters. Working in Go, Python/Ansible, deep in Linux environments, observability/monitoring stacks, and leveraging technologies like gRPC and Kubernetes CRDs/Controllers/Operators. Whether you’re automating bare metal, building fleet lifecycle management services, solving multi-layer integration challenges, or observing our globally distributed fleet, your work will be critical to the company's delivery of reliable and efficient infrastructure.

You’ll join a high-performing, communicative, and supportive team, solving complex problems at hyperscale, deploying purpose built AI across the world. 

About the role:

• Design and implement solutions to problems of scale for multi-site deployment and management of CoreWeave’s global server hardware fleet.
• Build and maintain backend services and APIs (gRPC/REST) in Go or Python to interact with Kubernetes and other infrastructure systems.
• Develop provisioning services, automation workflows, and fleet management tools that span from bare metal to container orchestration.
• Write and maintain Kubernetes custom controllers and operators to automate infrastructure behavior.
• Design and implement observability solutions for large-scale server monitoring to improve system stability and insight.
• Adapt and extend open source tooling to enhance visibility into system metrics, performance, and health.
• Create test plans, deployment automation, dashboards, alerts, and insights into our fleet operations.
• Resolve integration challenges across the entire infrastructure stack, from data center hardware to orchestration platforms.
• Participate in an on-call rotation.

Investing in our people is one of our top priorities, and we value candidates who can bring their diversified experiences to our teams. Here are some qualities we’ve found compatible with our team. We'd love to talk about whether this aligns with your experience and interests and what you’re excited to work on next.

Who You Are

Minimum Qualifications

• 5+ years of experience in software or infrastructure engineering.
• Proficiency in Go and/or Python software development.
• Familiarity with CI/CD tools like Argo, Flux, and GitHub Actions.
• Strong understanding of Linux internals.

Preferred Qualifications

• Experience designing, implementing, and monitoring Kubernetes operators for custom resource definitions.
• Experience with infrastructure automation and configuration management tools like Ansible, Puppet, Chef, Salt.
• Experience with distributed cloud computing principles, including testing strategies, observability, error budgets, and fault-tolerant design.
• Experience implementing metrics pipelines, custom alerts, and monitoring strategies.
• Ability to break down complex problems into achievable tasks and collaborate with teammates to execute them.
• Willingness and ability to thrive in a fast-paced startup environment.

Examples of teams you might join at CoreWeave

Fleet Provisioning Automation: Automation is key to delivering reliable GPU compute to clients. On this team you’ll write Go microservices and extend Kubernetes custom resources and operators to deliver and monitor cutting-edge computing platforms. Ensuring new compute hardware is ready to deploy, and monitor existing hardware across our growing datacenter footprint. 

Fleet Monitoring & Analysis: Our customers's AI workloads push our physical infrastructure to the limit. This team is solving our fleet monitoring, visibility and self-healing problems at scale. We develop, collect and correlate metrics to engineer observability solutions, utilizing technologies like Go, Prometheus, Grafana, and Kubernetes.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

The base pay for this position range from $139,000 to $242,000 accordingly. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. This position includes a discretionary bonus, equity, and a comprehensive benefits package.

What You’ll Do

As a Senior Engineer in Compute Services, you will be responsible for building fault-tolerant and reliable infrastructure to support both our internal processes and our customer platform. If you’re passionate about GitOps, KubeOps, DevOps—really, all the ops—this role could be a great fit for you!

• Design, develop, and maintain automated tooling to provision Kubernetes control planes on bare-metal
• Use Python, Golang, and Bash to create tooling and go operators
• Perform day 2 lifecycle tasks and maintenance on running clusters
• Identify gaps and implement fault-tolerant architectures
• Optimize reliability using the Grafana ecosystem
• Design automated testing to validate build quality and stability
• Participate in an on-call rotation every two months serving as point of contact

Who You Are

Investing in our people is one of our top priorities, and we value candidates who can bring their diversified experiences to our teams. Here are some qualities we’ve found compatible with our team. We'd love to talk about whether this aligns with your experience and interests and what you’re excited to work on next.

• Proven experience provisioning Kubernetes using tools such as kubeadm, Cluster API, Kubeception, Kubespray, or similar
• Demonstrated ability debugging complex kubernetes cluster issues and carrying out upgrades
• Proficiency in Golang, Bash, and Python
• Advanced Linux OS troubleshooting skills
• Extensive experience with Ansible
• Advanced DevOps experience (e.g., GitLab CI, GitHub Actions)
• Demonstrated ability to collaborate effectively on shared codebases
• Excellent documentation skills and high attention to detail
• Strong analytical and problem-solving abilities
• Experience participating in an on-call rotation to support production services

Preferred Qualifications

• Bare-metal OS provisioning experience
• Kubernetes operator coding experience
• Advanced Linux networking expertise
• AWX/Ansible tower knowledge

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! 

The base salary range for this role is $182,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What You’ll Do:

The Platform & Infrastructure Engineering team in the Data Infrastructure organization is responsible for the reliability, scalability, and security of the company’s data platform. The team builds and operates the foundational systems that power data ingestion, transformation, analytics, and internal AI workloads at scale. We operate with production-grade discipline, supporting mission-critical services with stringent uptime requirements and a focus on automation, observability, and resilience.

About the role:

As a Senior Site Reliability Engineer, you will own the reliability and performance of our Kubernetes-based data platform. You will design and operate highly available, multi-region systems, ensuring our services meet strict uptime and latency targets. Day-to-day, you’ll work on scaling infrastructure, improving deployment pipelines, and hardening our security posture. You’ll play a key role in evolving our DevSecOps practices while partnering closely with engineering teams to ensure services are built for reliability from day one.

Who You Are: 

• 5+ years of experience in Site Reliability Engineering, Platform Engineering, or Infrastructure Engineering roles
• Deep expertise in Kubernetes and containerized software services, including cluster design, operations, and troubleshooting in production environments
• Strong experience building and operating CI/CD systems, including tools such as Argo CD and GitHub Actions
• Proven experience owning production systems with high availability requirements (≥99.99% uptime), including incident response, SLI/SLO/SLA definition, error budgets, and postmortems
• Hands-on experience designing and operating geo-replicated, multi-region, active-active systems, including traffic routing, failover strategies, and data consistency tradeoffs
• Strong experience building and owning observability components, including metrics, logging, and tracing (e.g., Prometheus, Grafana, OpenTelemetry).
• Experience with infrastructure as code (e.g., Helm, Terraform, Pulumi) and automated environment provisioning
• Strong understanding of system performance tuning, capacity planning, and resource optimization in distributed systems
• Experience implementing and operating security best practices in cloud-native environments (e.g., secrets management, network policies, vulnerability scanning)

Preferred:

• Experience operating data platforms or data-intensive workloads (e.g., Spark, Airflow, Kafka, Flink)
• Familiarity with service mesh technologies (e.g., Istio, Linkerd)
• Experience working in regulated environments with compliance frameworks such as GDPR, SOC 2, HIPAA, or SOX
• Background in building internal developer platforms or self-service infrastructure

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• You love building highly reliable systems that operate at scale
• You’re curious about how to continuously improve system resilience, security, and operations
• You’re an expert in diagnosing and solving complex distributed systems problems

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

About the Team

CoreWeave is The Essential Cloud for AI™ — the infrastructure that the world's leading AI labs, researchers, and enterprises depend on. The Developer Experience (DevEx) team owns the platform, services, and systems that enable every engineer at CoreWeave to build and ship software faster, more safely, and with greater confidence. Our scope spans the full developer lifecycle: CI (continuous integration) and build infrastructure, test experience, delivery systems, artifact storage and distribution, internal developer platforms, and the agentic AI tooling that is redefining how engineers move from idea to production.

This is a high-leverage technical leadership role. You won't be operating tooling — you'll be designing and building the platforms other engineers depend on every day. The work you do will directly shape developer velocity, system reliability, and the agentic developer experience across a rapidly scaling engineering organization.

What You'll Do

• Set technical direction for key DevEx platform subsystems. Drive architectural decisions across CI pipeline infrastructure, test experience, artifact management, developer environments, and agentic tooling. Lead multi-quarter initiatives from design through production.
• Design and build the core services that power developer productivity. Build pipeline services, test experience platforms, progressive rollout systems, artifact registries, ephemeral development environments, and the APIs that tie them together.
• Architect and evolve our agentic developer platform. Elevate agentic DevEx capabilities so engineers can delegate development tasks and move faster in an AI-native way.
• Build for real scale. DevEx systems must reliably serve thousands of application instances and engineering workflows across 40+ data centers with diverse infrastructure profiles.
• Mentor Senior I and mid-level engineers, own design reviews, establish engineering patterns, and consistently raise the quality bar across the team.
• Lead post-mortems and drive continuous improvement cycles that harden DevEx systems against failure modes and reduce operational burden for engineering teams.

What We're Looking For

• 7+ years of software engineering experience with building production platforms, developer tooling, delivery infrastructure, or distributed storage systems.
• Strong systems design skills. You think in distributed services, event-driven architectures, and APIs. You approach developer platform problems as software engineering problems, not configuration exercises.
• Proficiency in Go, Python, or similar languages with production experience shipping services in cloud-native environments.
• Deep experience with Kubernetes. You understand how workloads are packaged, scheduled, and managed at the cluster level, and can design platform services that integrate at that layer.
• Experience with or strong technical interest in LLM-integrated developer tooling, such as agent frameworks, MCP-style tools, or AI-assisted developer workflows.
• Proven track record of setting technical direction, making sound architectural trade-offs, and driving engineering decisions that hold up as systems and teams scale.
• Effective cross-functional collaborator. You can align stakeholders, influence without authority, and translate complex technical trade-offs for technical and non-technical audiences alike.
• Experience mentoring engineers and consistently raising the technical quality bar of the teams you work on.

Nice to Have

• Experience building or extending CI and build infrastructure at scale, including GitHub Actions, Buildkite, Bazel, or similar build systems.
• Experience designing and operating progressive delivery systems at scale, including SLO-based quality gates, automated multi-stage pipeline orchestration, and custom Kubernetes operators, across heterogeneous deployment environments.
• Hands-on experience with artifact management, including distributed storage, caching, versioning, or multi-region artifact distribution (e.g. JFrog Artifactory, Cloudsmith, or custom-built systems).
• Direct experience building agentic systems, including MCP servers, tool-augmented LLM workflows, and incorporating these capabilities into DevEx platform features with consistent value-add.

The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

About the Role

We're looking for a software engineer to join our Source Control and Governance team within our Developer Experience group. In this role, you'll design and build the tooling and automation that keeps our AI compute and bare metal infrastructure platform compliant, secure, and audit-ready.

You'll work across major compliance frameworks (SOC 2, SOX, ISO 27001), writing policy-as-code, building compliance pipelines, integrating security scanning into CI/CD, and automating evidence collection workflows. This is a collaborative, high-impact team where your engineering work directly supports our ability to serve enterprise customers and meet evolving regulatory requirements.

What You'll Do

• Design and build automated compliance pipelines that enforce policies on infrastructure changes and compute provisioning, bringing a CI/CD-driven approach to governance workflows.
• Implement policy-as-code using tools like OPA/Rego, Conftest, or InSpec — ensuring compliance rules are version-controlled, peer-reviewed, and enforced automatically across environments.
• Automate audit evidence collection for SOC 2, SOX, and ISO 27001, replacing manual processes with continuous pipelines that produce timestamped, immutable artifacts.
• Build and maintain compliance dashboards and reporting to surface posture scores and framework coverage for internal stakeholders and customers.

What We're Looking For

• 7+ years of software engineering experience.
• Demonstrated mastery of Go or Python, including concurrency primitives, memory management, and performance optimization at scale
• Experience designing and building CI/CD pipelines using tools like GitHub Actions, GitLab CI, Jenkins, or Buildkite, with a solid understanding of pipeline architecture and design patterns.
• Familiarity with Linux systems and networking fundamentals.
• A self-directed working style with the ability to take ownership of workstreams on a small, collaborative team.

Nice to Have

• Experience with policy-as-code tools (OPA/Rego, Sentinel, Checkov, InSpec).
• Familiarity with compliance frameworks such as SOC 2, SOX, ISO 27001, or NIST CSF — you don't need to be an auditor, but an understanding of controls and why they matter goes a long way.
• Background in cloud infrastructure, bare metal, or compute platform environments.

Why This Role

As an AI compute provider, we operate in a space where the regulatory landscape is actively evolving. That means the work here goes beyond maintaining a static set of controls — you'll be building the systems that define how AI infrastructure compliance works in practice. You'll ship tooling that has a direct line to enterprise customer trust, and you'll help solve problems that don't have established playbooks yet.

This is a small team with a high degree of autonomy, meaningful greenfield projects, and real opportunity to grow as the space grows around you.

The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

Pinwheel - Building the future of financial services in partnership with the biggest brands

“I love my banking app!” said no one, ever.

Pinwheel is on a mission to change that. We believe banks and financial service providers represent the greatest opportunity to build 10x better experiences, especially in the AI age. We’re building the next generation of financial products alongside some of the biggest names in the market including Robinhood, DoorDash, Credit Karma, Amex, Discover, Intuit, Acorns, Visa and more. 

If you’re excited by the idea of having your work touch and impact the lives of hundreds of millions of consumers, Pinwheel is the place for you. 

If you get stoked about building products alongside the biggest brands in the world, Pinwheel is the place for you. 

If you want to join a scrappy, hustling team that is obsessed with defining the future of financial services, Pinwheel is the place for you! 

Pinwheel has raised $77M from top-tier investors such as Coatue, Notable, First Round, Upfront, Primary, American Express, Franklin Templeton, Indeed, Semper Virens and more.

Who are we looking for?

Pinwheel is looking for a Platform Engineer who thrives at the intersection of backend engineering, infrastructure, and developer enablement. This role owns the systems our engineering team depends on to build, deploy, and scale products; everything from Kubernetes and CI/CD pipelines to observability and infrastructure-as-code (IaC).

You’ll work closely with product and engineering teams to enable fast, reliable delivery while designing systems that are secure, scalable, and built for the future.

What will you do?

• Build and maintain backend platform services and features that support internal teams and product development
• Develop internal libraries and tooling using Go and Python
• Design and operate systems related to authentication, public key infrastructure (PKI), and secure data storage and transit
• Provision, monitor, and optimize cloud infrastructure for reliability, scalability, and performance
• Support new product initiatives by deploying and managing microservices in Kubernetes environments
• Design and manage infrastructure-as-code and deployment workflows using Terraform, Helm, and GitOps tools (e.g., Flux, ArgoCD)
• Improve CI/CD pipelines and developer workflows using tools like CircleCI and GitHub Actions
• Implement observability solutions (metrics, logging, alerting) to improve system visibility and operational response
• Architect secure, cloud-native solutions across AWS, Azure, and/or GCP
• Partner with engineering teams to deliver production-ready, compliant platform capabilities
  
  

What qualifications are necessary?

• 3–5+ years of backend software engineering experience
• 2+ years of platform, infrastructure, or DevOps experience
• Strong experience with Go and/or Python
• Hands-on experience with cloud infrastructure and cloud-native architectures
• Experience running containerized workloads, especially in Kubernetes
• Familiarity with infrastructure-as-code tools like Terraform and Helm
• Experience with CI/CD systems and modern delivery practices (GitOps, CircleCI, GitHub Actions)
• Experience with observability tools such as Datadog, Prometheus, or Grafana
• Strong understanding of building reliable, scalable, high-performance systems
• Ability to quickly learn new technologies and work independently in unfamiliar systems
• A curious, self-directed mindset with strong problem-solving skills
  
  

Nice to Have

• Experience with PKI, encryption, mTLS, or security-focused infrastructure
• Familiarity with GitOps tools like Flux or ArgoCD
• Experience integrating AI tooling (e.g., MCP servers) into production environments
• Exposure to compliance-focused systems (PCI, SOC 2, ISO, etc.)

Why join Pinwheel?

Best time to join - Our company is small but well-funded, meaning you are joining at a time where you can impact and shape the company.

Be a cultural builder - You will have an active hand in molding the company culture and being a part of the entrepreneurial journey.

Build something revolutionary - Help build the products on the bleeding edge of financial services!

Belong - Join a community that is passionate and relentless about building fairer financial systems for all.

Benefits included:

• Great compensation & equity packages
• Full medical, dental, and vision benefits
• Life & short-term disability insurance
• Flexible PTO policy that prioritizes recharge and balance
• Paid parental leave
• 401K for retirement planning
• Mentorship opportunities
• Free Citibike membership
• Pet friendly offices and Zoom spaces

At Pinwheel, total compensation is made up of salary + equity + benefits. We recruit motivated and high performing talent, and work to compensate people in line with the value they can bring to the organization in delivering outsized results. The talent market is competitive, and maintaining our ability to recruit and retain the best team possible is a top priority for Pinwheel. When creating an offer, we consider interview performance, candidate experience, external market competitiveness, and internal equity in thoughtfully assessing compensation. The expected cash salary range for this role is $150,000 - $180,000 base.

Diversity & Inclusion at Pinwheel

At Pinwheel, we are committed to building an environment that is diverse and inclusive. We believe that having people across different backgrounds, experiences, abilities, and perspectives enables us not only to build the best financial products, but to help us realize the best versions of ourselves. Pinwheel is an equal opportunity employer, and we aim to be an open and supportive place to work.

We are looking for a senior software engineer to join our new Community Open Source Engineering team focused on growing the Quickwit OSS community and help steer the quickwit-oss collection of projects. You will play a key role in evolving quickwit & tantivy, ensuring community happiness, optimizing the release process and operations, and more. This is a hybrid role, primarily focused on Software Engineering, with a crucial component dedicated to Technical Writing, including producing blog posts and technical guides. 

Community Open Source Engineering is responsible for fostering engagement and guiding development of Datadog's open source projects outside of the core product and security research areas. The team ensures these projects deliver value to both the open source community and the company by prioritizing community engagement, maintaining software quality and security, and strategically developing new features.  As a member of a small team, you'll play a crucial role in shaping the future of Community Open Source Engineering and have a significant impact on the team's direction.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What you’ll do:

• Assist with managing the Quickwit community, responsibilities include:
• reviewing external contributions and ensuring codebase quality
• triaging reported GitHub issues
• answering questions on GitHub Discussions
• Help define the project governance. Establish contribution guidelines and continuously improve processes to minimize friction for all stakeholders.
• Collect data to assess project health and usage, identifying areas for improvement.
• Actively evangelize Quickwit to expand its reach and impact.
• Advance the Quickwit roadmap. For example, propose and implement architectural changes to facilitate contributions and reduce maintenance burdens, as well as develop highly requested features.

Who you are:

• You love talking with users and interacting with the open source community 
• You have experience managing an OSS project with a community of (internal and external) users and contributors
• You ship fast, overcome blockers with a practical mindset, and cut through ambiguity
• You have at least 3-5 years of experience with systems-level programming and preferably using Rust (or similar language)
• You are a proficient written communicator, with the ability to clearly articulate thoughts across a team
• You are passionate about developer experience and reducing friction for maintainers and contributors
• You have experience with GitHub Actions and/or release management for complex software projects
• You’ve worked on extract-transform-load tools or stream processing systems

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Competitive global benefits
• Giving programs

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Datadog’s Implementation Services team helps customers implement and deploy Datadog quickly. Our team of architects leads the discovery, design, build, and launch of the Datadog platform to help customers accelerate time to value and get the most out of their investment. As a member of our team, you will be responsible for developing the technical roadmap for a customer’s implementation, and leading them through it every step of the way.   

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Design and guide execution of Datadog implementations, including gathering requirements, building technical architecture, and supporting deployment and launch
• Guide customer onboarding through co-development working sessions and assist when they run into roadblocks
• Write automation and design architecture for deployment templates 
• Manage the operation of implementation projects 
• Collaborate with other teams, including Customer Success, Technical Account Management, and Sales to deliver an exceptional onboarding experience

Who You Are:

• Experience designing and delivering technical solutions for DevOps Monitoring or architecture systems
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and compute technologies (EC2, serverless, VMware, VMs, Docker, Kubernetes).
• Experience with Config Management, IAC and CI/CD tools, including Ansible, Puppet, Terraform, Chef, Jenkins, Circle CI, GitHub Actions, Azure Pipelines, etc…
• Experience programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and .NET etc
• Background in security operations, including SOC management, SIEM tooling (e.g. Splunk Professional Services), and designing or supporting zero-trust networking architectures
• Successful track record with 5+ years experience as an Architect or Consultant in a professional services team
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 30% of the time

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Position Summary: 

We are seeking a skilled and passionate Scrum Master to support the development teams in applying agile practices effectively, with a focus on the Scrum framework. This role will foster a culture of continuous improvement, collaboration, and transparency, while guiding teams through agile maturity and delivering high-quality outcomes. 

Position Responsibilities: 

Agile Coaching & Facilitation 

• Facilitate Scrum events and coach teams to self-organize and continuously improve. 
• Design and lead retrospectives tailored to team needs. 
• Conduct quarterly team health checks and maturity assessments. 
• Guide teams in applying lean and agile principles to improve delivery. 

Team & Stakeholder Engagement 

• Foster collaboration between Scrum Teams and stakeholders. 
• Mediate conflicts and support team dynamics to ensure a healthy team environment. 
• Support onboarding and agile adoption for new team members and teams. 

Process Improvement & Metrics 

• Identify and remove impediments to team progress. 
• Leverage empirical data to drive continuous improvement. 
• Prepare and present sprint reports including velocity, capacity, and predictability metrics. 
• Build and maintain workflows and automation to enhance team efficiency. 

Product & Planning Support 

• Collaborate with product teams on backlog management, coaching on prioritization best practices.
• Assist in roadmap development and release forecasting using agile metrics.
• Promote best practices in lean, iterative software delivery.
• Build foundational product knowledge to provide targeted coaching and help bridge gaps between teams working on related features.

• Tracks quarterly goals for team(s)

A Successful Contributor has: 

• Practical experience with multiple agile frameworks and their effective application. 
• Strong facilitation and conflict resolution skills. 
• Experience teaching and mentoring on Scrum and agile principles. 
• Understanding of business strategy techniques like Lean Startup, MVP vs MMF / MMP, and Prioritization Matrices.
• Experience with forecasting and release planning using agile metrics. 
• Knowledge of CI/CD and emergent architecture in iterative development. 
• Ability to build simple automations in Jira, and Slack to support Scrum practices. Familiarity with Github Actions is a plus.
• Strong communication skills grounded in commitment, courage, focus, openness, and respect. 

Qualifications: 

• Bachelor’s Degree in business, information technology, or 3 years’ work experience in related field required. 
• 3 years working in Scrum Master role or on a Scrum Team. 
• Certified Scrum Master (CSM) or equivalent certification preferred. 

About this position:

We’re looking for a Machine Learning Infrastructure Engineer to join our growing Data & Platform team and build the foundation that powers our AI and machine learning capabilities across Later’s product portfolio. As our first dedicated ML Infrastructure Engineer, you will own the systems that support model experimentation, training, deployment, and monitoring at scale.

This role is critical to accelerating our data science initiatives and enabling future AI innovation. You’ll design and operate reliable, secure, and scalable ML infrastructure that empowers data scientists and engineers to ship high-impact models with confidence. If you’re excited about building robust ML systems in a fast-moving environment—and want to define the standard for ML Ops at Later—this is your opportunity.

What you'll be doing:

Strategy

• Define and own the long-term ML infrastructure roadmap, ensuring it supports both current experimentation needs and future AI initiatives.
• Establish best practices for model lifecycle management, deployment standards, monitoring, and governance. 
• Identify infrastructure gaps and proactively design scalable solutions to enable high-velocity ML development.
• Contribute to cross-functional technical planning, ensuring ML systems align with product and platform strategy.

Technical/ Execution

• Design, build, and maintain production-grade model deployment and inference systems using CI/CD pipelines, containerized services (Docker), and API frameworks (e.g., Flask).
• Automate end-to-end ML lifecycle workflows including training pipelines, model validation, registry management, deployment, and rollback strategies.
• Implement robust monitoring systems for model performance, latency, drift detection, and infrastructure health using tools such as CloudWatch, Prometheus, and Grafana.
• Operate across AWS and GCP environments to manage training and inference workloads, including GPU-based infrastructure and BigQuery datasets.
• Develop and maintain infrastructure-as-code (Terraform, CloudFormation) to ensure scalable, repeatable, and secure cloud environments.
• Implement and optimize CI/CD workflows (e.g., GitHub Actions, GitLab CI, Bitbucket Pipelines) for ML and infrastructure automation.

Team / Collaboration

• Partner closely with Data Scientists, Analysts, Platform Engineers, and Product Engineers to support end-to-end ML workflows.
• Translate data science experimentation needs into production-ready infrastructure solutions.
• Serve as the technical bridge between ML experimentation and productized deployment.
• Share knowledge and best practices to elevate ML maturity across teams.

Research/Best Practices

• Stay current on emerging ML Ops practices, tools, and frameworks to continuously improve system reliability and efficiency.
• Evaluate and implement model-serving frameworks (e.g., TorchServe, Seldon, TensorRT) where appropriate.
• Contribute to governance, reproducibility, and auditability standards for ML systems.
• Experiment with new tooling and workflows to improve reproducibility, performance, and developer velocity.

What success looks like:

• ML models move from experimentation to production quickly and reliably, with minimal manual intervention.
• CI/CD pipelines enable safe, repeatable deployments with clear rollback strategies.
• Model performance, drift, and infrastructure health are proactively monitored and observable.
• Infrastructure supports scalable GPU training and real-time inference without bottlenecks.
• Data scientists report improved velocity, reproducibility, and confidence in deploying models.
• ML systems are secure, compliant, and aligned with evolving product and AI strategy.

What you bring:

• 4+ years of experience in ML Ops, ML infrastructure, backend engineering, or related roles supporting production ML systems.
• Experience working in cloud-native environments (AWS and/or GCP) with hands-on deployment of ML workloads.
• Proven track record designing and implementing CI/CD pipelines for ML systems.
• Strong experience with Amazon SageMaker, Docker, Flask-based APIs, and infrastructure automation tools.
• Hands-on experience with ML lifecycle tooling such as MLflow, SageMaker Studio, or Weights & Biases.
• Experience managing container orchestration platforms (Kubernetes, EKS, or GKE).
• Strong programming experience in Python (additional experience in Go, Java, or Scala is a plus).
• Experience working with infrastructure-as-code tools such as Terraform or CloudFormation.
• Familiarity with observability tools such as CloudWatch, Prometheus, Grafana, Datadog, or centralized logging platforms.
• Experience managing GPU-based workloads and scaling training/inference systems.
• Familiarity with data infrastructure tools such as BigQuery and cloud-native data pipelines.
• Bonus: Experience supporting LLMs or generative AI pipelines, distributed training systems, feature stores (e.g., Feast), real-time inference systems, or ML governance frameworks.
• A mindset focused on automation, reliability, performance, and continuous improvement in fast-scaling environments.

How you work: 

• Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear.
• Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights.
• Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast—challenging the status quo with a mindset of improvement.
• Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive—removing roadblocks, sharing insights, and keeping morale high.
• Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth.
• Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity.

Our approach to compensation:

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

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

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

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

Salary Range: 

$ 145,000 -165,000 

#LI-remote

This role is not open to visa sponsorship or transfer of visa sponsorship including those on H1-B, F-1, OPT, STEM-OPT, or TN visa, nor is it available to work corp-to-corp.

This role requires a hybrid schedule and will be based in our South Charlotte, NC or New York, NY office (Tuesday through Thursday) and optional remote days on Mondays and Fridays each week.

Red Ventures is looking for a Software Engineer to join our Banking Client Services organization. You’ll build and operate financial services web platforms for our banking partners using Next.js, hosted in high-availability multi-cloud Kubernetes environments. You’ll do it within a team that treats AI and automation as fundamental to how modern software gets built.

Our engineering group is AI-forward. We’ve integrated agentic workflows and automation into coding, ticket management, compliance, and cross-functional problem-solving and we expect every engineer to actively contribute to that momentum. You’ll use AI-assisted tools daily, build automation that makes the team faster, and partner with business and data science teams to apply AI to real problems.

This is an IC engineering role reporting to an Engineering Manager with a clear path for growth as our client partnerships expand.

Curious how Growth and Transformation fits into Red Ventures? Click here. 

What You’ll Do: 

Engineering Delivery 

• Build and maintain financial services web platforms using Next.js (React, TypeScript) with a focus on performance, reliability, and partner-grade quality.
• Deploy and operate applications in high-availability, multi-cloud Kubernetes environments, contributing to infrastructure-as-code, CI/CD pipelines, and deployment automation.
• Contribute to SRE practices: observability, alerting, incident response, and operational maturity for client-facing web properties.
• Write well-tested, reviewable code and actively participate in code reviews, advocating for quality across the team.
• Collaborate with designers, business stakeholders, and data science partners to deliver solutions that strengthen client trust.

AI & Automation

• Build and maintain agentic workflows and automation that improve engineering delivery, spanning coding assistance, ticket management, compliance processes, and operational tasks.
• Use AI-assisted development tools (IDE integrations, CLI agents, code review automation) as a core part of your daily workflow to accelerate output and improve quality.
• Partner with business and data science teams to identify automation opportunities and build AI-driven solutions to operational and client-facing problems.
• Evaluate emerging AI/ML tooling for software development and recommend adoption where it reduces toil or improves outcomes.
• Develop internal tooling and developer experience improvements that help engineers across teams move faster.

What We’re Looking For:

Software Engineering (3–5 Years Experience)

• Strong proficiency in JavaScript/TypeScript, React, and Node.js. Hands-on experience with Next.js is strongly preferred.
• Experience deploying and operating applications on Kubernetes in production environments. Familiarity with multi-cloud architectures (AWS, GCP, or Azure) is a plus.
• Solid understanding of web application architecture: client-server models, RESTful APIs, microservices, and server-side rendering.
• Demonstrated emphasis on code quality: testing strategies (unit, integration, end-to-end), code review practices, and engineering best practices.
• Experience with CI/CD pipelines and deployment tooling (e.g., Harness, GitHub Actions).
• Familiarity with Agile/Scrum methodologies and iterative delivery within sprint-based workflows.

AI Fluency & Automation

• Demonstrated experience building automation, internal tooling, or agentic workflows.
• Proficiency with AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, or similar IDE and CLI integrations.
• A builder’s mindset: you actively look for opportunities to automate repetitive work, streamline processes, and apply AI to engineering problems.
• Willingness to experiment with emerging AI capabilities and drive adoption through working examples and documentation.

Collaboration & Communication

• Clear written and verbal communication skills. Ability to explain technical decisions to peers and cross-functional partners.
• Comfort working across functions, you’ll collaborate regularly with data science, business, and design teams.
• A collaborative, team-first approach. You contribute to a psychologically safe environment and share knowledge freely.

Nice to Have:

• Familiarity with web analytics tools (e.g., Google Analytics, Mixpanel) and using data to inform engineering decisions.
• Experience with databases (SQL and/or NoSQL) and their integration with web applications.
• Understanding of container orchestration and cloud-native tooling beyond Kubernetes basics.

Compensation:

This range reflects total cash compensation, which may include base salary only or base salary plus target bonus, depending on the role. Where eligible, equity may also be offered separately and not included below. Actual compensation varies based on location, experience, and qualifications.

• Total Cash Compensation Range:
  • Charlotte, NC Hybrid Compensation Range: $80,000 – $140,000 per year
  • New York, NY Hybrid Compensation Range: $100,000 – $175,000

Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements.

• Health Insurance Coverage (medical, dental, and vision)
• Life Insurance
• Short and Long-Term Disability Insurance
• Flexible Spending Accounts
• Holiday Pay
• 401(k) with match
• Employee Assistance Program
• Paid Parental Bonding Benefit Program
• Flexible Paid Time Off (PTO): We believe time to rest and recharge is essential.  That’s why we offer a generous and flexible PTO policy.  Full-time employees accrue 20 days of PTO for a full calendar year annually, with an increase to 25 days after five years of service.

Who We Are:

Red Ventures is a global portfolio of high-growth companies — spanning several U.S. businesses, a joint venture in the health services industry, and strategic investments in Europe. Their businesses include The Points Guy, Lonely Planet, Bankrate, the Allconnect Platform, RV Home Client Growth, RV Growth & Transformation, Sage Home Loans Corporation, and more. Across the portfolio, Red Ventures businesses deliver seamless digital experiences for consumers, help Fortune 100 clients solve large-scale digital growth challenges, and create world-class experiences and opportunities for employees. Learn more at redventures.com and follow @RedVentures on LinkedIn and Instagram.

At Red Ventures, we believe diverse, inclusive teams are better. To help you better understand our core values and beliefs, we encourage you to watch this brief YouTube video: Our Belief Statements. This will give you insight into the principles that guide our work and our commitment to fostering an inclusive environment.

 We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.

Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications. 

We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com. 

If you are based in California, we encourage you to read this important information for California residents linked here.

At Red Ventures, we believe in real human connection. That’s why we do not hire someone through text, social media, or email only. As part of the hiring process, you should expect live conversations with RV teammates before any offer is made. Also, keep an eye on the sender: we only use official @redventures.com email addresses at the portfolio level or business specific email addresses (e.g., @thepointsguy.com), not ones like “redventurescareer.com.” We will never ask candidates to send money, buy equipment, or share financial account info during your journey with us. You can always find our open roles on redventures.com— if you receive a message that seems suspicious, please use redventures.com to verify the opportunity.

For more, the U.S. Federal Trade Commission has published helpful articles to help individuals learn more about protecting themselves from recruiter scams. If you think you’ve been targeted, feel free to report it to your local authorities. Stay safe out there!

#LI-KS1 #LI-HYBRID

Imagine being a pioneer, venturing through the uncharted territories of the cloud. You're not just navigating; you're shaping the landscape, constructing robust architectures that withstand the tests of time and scale. At Mercury, your mission, should you choose to accept it, is to help steer our cloud infrastructure into the future. With projects as dynamic as migrating our entire fleet to ECS and building out our golden paths for service deployment, your role is pivotal. This isn't just a job; it's an epic tale of transformation and triumph.

As a senior member of our infrastructure team, you will be equipped with essential tools and technologies designed for scaling and enhancing Mercury's infrastructure:

• AWS Services: Proficiently utilize EC2, RDS, IAM, Networking, Opensearch, and ECS to build and manage robust cloud environments.
• Terraform: Leverage Terraform for infrastructure as code to efficiently manage and provision our cloud resources.
• Agentic Infrastructure: Build the frameworks around using AI safely in our infrastructure, both for the agents and the users that kick off those agents.
• Monitoring and Observability Tools: Employ Prometheus, Grafana, Opensearch, and OpenTelemetry to maintain high availability and monitor system health.
• Version Control and CI/CD: Manage code and automate deployments using GitHub & GitHub Actions.

As we gear up for the next stages of Mercury's growth, you will:

• Build our “Infrastructure Platform” to support the growing needs of the Engineering Organization.
• Focus on building a platform that is AI friendly while still usable for engineers. We want our users to be humans and Agents.
• Lead key infrastructure projects, break-down complex initiatives, and define our infrastructure strategy through detailed RFCs and technical specifications.

Must haves:

• You have 5+ years of experience with AWS
• You have extensive experience, ideally 3 years or more, with observability and monitoring tools like Prometheus, Grafana, and OpenTelemetry, optimizing system performance and reliability.
• You have demonstrated ability in technical writing, with at least 3 years of experience creating detailed technical documentation, RFCs, and tech specs that clearly communicate complex ideas.

The ideal candidate should:

• You bring at least 2 years of experience leading infrastructure projects in regulated environments such as HITRUST or SOC2, ensuring compliance and security.
• You have 3+ years of experience managing large-scale Terraform implementations, including the setup and maintenance of Terraform CI/CD pipelines.
• You have 2+ years of experience writing code. We are building an Infrastructure Platform from scratch and there is plenty of code to write to support that.
• Experience mentoring and elevating those around you, we are force multipliers for the engineering org.

If this role interests you, we invite you to explore our public demo at demo.mercury.com. 

The total rewards package at Mercury includes base salary, equity, and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

• US employees: $200,700 - $250,900
• Canadian employees: CAD $189,700 - $237,100

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024. 

[Please see the independent bias audit report covering our use of Covey for more information.] 

#LI-ME1

Every line of code that ships at Mercury passes through a gauntlet of builds, tests, and gates before it reaches our customers. On the surface, that process should feel seamless — frictionless for engineers, undetectable to users, and impossibly reliable. Behind that invisibility is Release Engineering.

Mercury moves fast. We ship frequently, our monorepo grows daily, and the pressure to do it right never lets up. Release Engineering is the team that makes this possible: owning the CI/CD platform, build infrastructure, deployment tooling, and the practices that let 400+ engineers deliver with confidence.

We're looking for an Engineering Manager to lead this team. You'll partner with the Backend Developer Experience team to deliver the full software delivery lifecycle from code commit to production, and build the engineering culture that keeps our release process a competitive advantage rather than a bottleneck.

In this role you will:

• Lead and grow a team of four engineers focused on CI/CD infrastructure, build systems, deployment automation, and developer tooling.
• Create a strong culture of operational excellence, with measurable improvements to pipeline reliability, build times, and deployment confidence.
• Own Mercury's release pipeline end-to-end — from pull request merge to production — ensuring it is fast, reliable, observable, and secure.
• Drive the strategy and execution for improving build performance, test reliability, deployment safety (canaries, feature flags, rollbacks), and developer velocity.
• Partner closely with Platform, Security, and Product Engineering teams to design and deliver systems that meet the demands of a rapidly scaling fintech.
• Establish and evangelize release engineering best practices across Mercury's engineering org — defining standards for deployment frequency, change failure rate, and MTTR.
• Balance long-term platform investments with the day-to-day reliability needs of 400+ engineers shipping code every day.
• Build and maintain tooling that enforces compliance checkpoints and audit trails as part of the release pipeline — without slowing teams down.
• Hire, mentor, and retain top-tier engineers; help them grow into technical leads and raise the overall bar for the team.

You should have:

• 7+ years of software engineering experience, including 4+ years managing engineering teams in high-growth or high-availability environments.
• Deep hands-on experience with CI/CD systems (e.g., Buildkite, GitHub Actions, Jenkins, CircleCI) and the infrastructure that supports them.
• Strong background in build systems (Bazel, Buck2), containerization (Docker, Kubernetes), and infrastructure-as-code (Terraform, Pulumi, or similar).
• A track record of meaningfully improving release velocity and reliability — you measure what matters and use data to drive decisions.
• Experience operating in regulated or security-sensitive environments, ideally fintech, payments, or banking.
• Excellent cross-functional communication skills — you can translate between engineering depth and business impact, and you partner effectively with Security, Compliance, and Product leaders.
• A pragmatic philosophy: you believe release infrastructure should be a force multiplier for product engineers, not a bureaucratic hurdle.
• The ability to attract, develop, and retain exceptional talent — you take hiring and team development seriously.

What Success Looks Like:

In your first 90 days, you've developed deep context on Mercury's release infrastructure, built trust with your team, and identified the highest-leverage opportunities to improve pipeline performance and developer experience.

Within six months, you've shipped meaningful improvements to build reliability, deployment speed, or observability — and your team has a clear roadmap for the next year.

Over time, you've made Mercury's release process a model for how fintech companies can move fast without breaking things.

Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a job candidate’s experience, expertise, geographic location, and internal pay equity relative to peers. 

Our target new hire base salary ranges for this role are the following:

• US employees (any location): $239,000 - 298,800
• Canadian employees (any location): CAD $225,900 - 282,400

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024. Please see the independent bias audit report covering our use of Covey here.

Mercury is a financial technology company, not a bank. Banking services provided by Choice Financial Group, Column N.A., and Evolve Bank & Trust; Members FDIC.

[Please see the independent bias audit report covering our use of Covey for more information.] 

#LI-ME1

THE POSITION
Our roster has an opening with your name on it

As a Senior Software Engineer within one of FanDuel’s Risk Management Automation teams, you will be an essential part of a cross functional agile team that directly impacts our business. You will work collaboratively with a team to implement creative, high-quality solutions, scope effort and timelines, and balance priorities of our stakeholders and engineering needs. Your team will work closely together to deliver exceptionally high-quality software, while taking pride and ownership in testing, deploying, monitoring, and maintaining that software. Our engineers own every part of the software delivery lifecycle. 

You will work directly with risk managers at FanDuel to improve the major automated risk management platforms. You will be a domain expert on automated risk implementation and how that fits into the larger Risk and Trading landscape. You will go beyond the software developer role and will be called upon to identify opportunities yourself in the risk automation space to innovate through technology. In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

THE GAME PLAN
Everyone on our team has a part to play

You are a significant and autonomous contributor. Your work is consistently of high quality. You solve difficult problems, applying appropriate technologies and best practices. You work with your team to invent, design and build software that is stable and performant. You are proficient in a broad range of design approaches and know when it is appropriate to use them and when it is not. Your solutions are pragmatic. You consider the legacy of the code you produce and write code that an SDE unfamiliar with the system can understand. You limit the use of short-term workarounds. You do things with the proper level of complexity the first time (or at least minimize incidental complexity). You create flexible software without over-engineering. You make appropriate trade-offs, re-use where possible, and are judicious about introducing dependencies. You are efficient with resource usage (e.g., system hardware, database, memory/CPU, etc.).

We are looking for engineers to actively engage in technical discussions, assist in designing and implementing solutions, pair program with our more junior engineers, and deliver constant improvements to our systems. We want you to be excited about constantly learning and driving your professional development. You should have most, or all, of the following skills: 

• You have deep experience with C Sharp and backend systems.
• You have experience working directly with stakeholders/end users.
• You write simple and extendable code following standards and best practices.
• You test your code thoroughly
• You help balance customer requirements with the team requirements
• You help your team evolve by actively participating in the code review process, design discussions, team planning, and ticket/metric/COE reviews
• You classify, store, and handle data in accordance with FanDuel policies
• You track security risks and mitigate and/or escalate them in a timely manner
• You focus on operational excellence, constructively identifying problems and proposing solutions
• You take on projects and make software enhancements that improve the team software and processes
• You work to resolve the root cause of complex problems, leaving software better and easier to maintain than when you found it
• You can train new team-mates on how your team's software is constructed, how it operates, how secure it is, and how it fits into the bigger picture
• You foster a constructive dialogue and seek resolutions in a professional way
• You help recruit and interview for your team
• You estimate stories/tasks accurately and deliver them in time
• You mentor and help to develop others
• On-call rotation where required. You provide excellent customer support
• You keep yourself up to date with market standards, open-source frameworks
• Most importantly, you are humble, pragmatic, self-managed, thirsty for knowledge, never satisfied and always challenging the norm. Responsible for the state of the code you both inherit and produce
• Creative problem-solving ability 
• A passion for learning and always getting better

THE STATS
What we're looking for in our next teammate

• Degree in Computer Science, Data Science, Engineering.
• 5 or more years of industry experience in a Software Engineering field, Machine Learning, Data Science, Finance Engineering
• Proficient in building services with modern OOP languages, C# is essential.
• A fundamental understanding of data structures and algorithms.
• Proficient in working with GitOps Patterns
• Experience working with CI/CD pipeline tooling (BuildKite and GitHub Actions knowledge is beneficial).
• Experience working with cloud-based infrastructure and technologies.
• Knowledge of AWS with API gateway/workflow orchestration/lambda/serverless applications.
• Knowledge of infrastructure as code is nice to have, notably Terraform and Helm.
• Experience interacting and designing relational databases.
• Experience with streaming technologies (Kafka is nice to have).
• Ability to document code, research, and designs clearly (Jira and Confluence experience nice to have).
• Proficiency in translating requirements into design and developing applications.
• Understanding of containers (e.g. Docker), and orchestration (Kubernetes).
• Demonstrated abilities driving operational excellence and on call support.
• Experience with unit testing, testing tools, integrating testing and best-quality practices into an SDLC.
• Experience working in an Agile environment.
  
  
  

ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.  

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.

The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.

FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).

PLAYER BENEFITS
We treat our team right

We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.

FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.

The applicable salary range for this position is $149,000 - $195,300 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.

FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

#LI-Hybrid

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!

At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems, running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful. 

Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.

About the role...

As an engineer on the App Builds team in our Client Platform area you’ll be responsible for evaluating and setting the direction for our Android builds. This includes centralizing build logic, working on modularization strategies, and optimizing build times across 70+ Android developers.

🧠  You will...

• Drive the modernization of our CI build and release pipelines with the migration to new Github Action workflows
• Develop tooling and automation to accelerate the modularization of our Kotlin codebase
• Design and evolve Android test infrastructure to improve developer velocity and test reliability
• Proactively identify and implement improvements to our build performance, reliability, and developer workflows as the Android ecosystem evolves
• Foster a culture of engineering excellence and mentor engineers of all experience levels

✅  You have...

• Experience supporting either Gradle-based projects or large Android builds
• Proven ability to drive large-scale technical initiatives across multiple teams
• Proficiency in Android development using standard tools and frameworks

⭐  Exceptional candidates will have...

• Expertise working with CI/CD platforms like Github Actions
• Experience with Gradle principles e.g., caching and task avoidance

The Role

We’re looking for a Full Stack Engineer to join our AI Technology team and play a critical role in building and shaping the firm’s internal Generative AI platform. This is a high-impact, hands-on engineering position where you’ll contribute not just as a full stack specialist, but also as an AI strategist – helping to evolve our agentic AI platform powering the firm. You’ll work in a dynamic, fast-paced environment where product requirements evolve, and business stakeholders are deeply engaged. Your engineering skills, UX sensibility, and product mindset will all be utilized as you craft industry-leading UI platform and ecosystems.

What you’ll do

You’ll be a key contributor to the UI and backend of our agentic AI platform and associated tooling. You’ll help evolve our technical stack and development tools by contributing to architectural improvements, shared components, and implementation consistency across cross-functional teams. At the same time, you’ll work closely with product teams and business stakeholders, helping shape feature definitions, and designing and building high-impact UI solutions directly into our AI applications.

Your development responsibilities will span full-stack, including web front-end, backend integration, API design, performance optimization, and system observability.

You’ll also be involved in the team’s code quality and best practices, identify gaps in development lifecycles, and continuously improve both the core platform and how developers build with it.

What you’ll bring

What you need:

• 3-5 years of professional experience in front-end or full stack engineering
• Expertise in React, HTML, CSS and modern web development toolkits
• Experience with Python-based backends used in production systems
• An eye toward high-level product and user-experience design
• Experience working with REST APIs, WebSockets, and event-driven architectures
• Experience working with both relational (Postgres, MySQL) and NoSQL databases (DynamoDB, Elastic Search)
• A thoughtful approach to problem-solving; Ability to break down complex issues methodically

We’d love if you had:

• Experience developing agentic AI applications, harnesses, MCP servers, and workflows
• Experience with AWS cloud services (S3, OpenSearch, DynamoDB, etc.), Kubernetes-driven deployments, Github Actions, and modern CI/CD pipelines
• Experience implementing or maintaining design systems
• Familiarity with React-based micro-frontend architectures and patterns for building modular UI
• Excellent communication skills; Able to translate technical concepts for non-technical stakeholders
• Experience with observability tooling such as DataDog

Who we are  
Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.

Our Culture
At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls.

The base pay for this role is expected to be between $175,000 and $225,000. The expected base pay range is based on information at the time this post was generated. This role may also be eligible for other forms of compensation such as a performance bonus and a competitive benefits package. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications, and experience.

The Role

We’re looking for a Senior Software Engineer to join our AI Technology team and play a critical role in building and shaping the firm’s internal Agentic AI platform. This is a high-impact, hands-on engineering position where you’ll contribute not just as an AI software engineer, but also as an AI strategist – helping to evolve our agentic AI platform powering the firm. You’ll work in a dynamic, fast-paced environment where product requirements evolve, and business stakeholders are deeply engaged.

What you’ll do

• You’ll be a key contributor to our agentic AI platform and associated tooling. At the same time, you’ll work closely with product teams and business stakeholders, helping shape feature definitions, and designing and building high-impact AI-powered solutions directly into our AI applications.
• Design and implement new Agentic AI-powered workflows to run continuously in the background, analyzing market news, security data, SEC filings, emails, and other data sources and surface pertinent information that can help drive investment decisions.
• Create agentic AI tools, contribute to our MCP Server and MCP Gateway, and deploy an agent evaluation framework.
• Perform User Acceptance Testing with relevant stakeholders and iterate on the design and implementation until successful.
• You’ll also be involved in the team’s code quality and best practices, identify gaps in development lifecycles, and continuously improve both the core platform and how developers build with it.

What you’ll bring

What you need:

• 5+ years of professional software engineering experience, preferably in Python
• Experience working creating and integrating REST APIs, and event-driven and asynchronous architectures
• Experience working with both relational (Postgres, MySQL) and NoSQL databases (DynamoDB, Elastic Search)
• Experience with AWS cloud services (S3, OpenSearch, DynamoDB, etc.), Kubernetes-driven deployments, Github Actions, and modern CI/CD pipelines
• A passion for AI, creative ideas for how it can be a tool for problem solving and productivity
• A thoughtful approach to problem-solving; ability to break down complex issues methodically
• Excellent communication skills; Able to translate technical concepts for non-technical stakeholders

We’d love if you had:

• Experience developing agentic AI applications, harnesses, MCP servers, and workflows
• Familiarity with or experience building AI agents, Retrieval-Augmented Generation (RAG) pipelines, or agentic tools
• Experience with observability tooling such as DataDog

Who we are  
Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.

Our Culture
At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls.

The base pay for this role is expected to be between $175,000 and $225,000. The expected base pay range is based on information at the time this post was generated. This role may also be eligible for other forms of compensation such as a performance bonus and a competitive benefits package. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications, and experience.

The Role

TripleLift is seeking a Senior Cloud Architect to help shape the infrastructure that underpins one of adtech's most sophisticated programmatic platforms. This role is built for a technically deep, hands-on architect who can move fluidly between designing elegant cloud solutions and rolling up their sleeves to bring them to life.

You'll work at the intersection of architecture, engineering, and security—partnering with cross-functional teams to design systems that are scalable, resilient, and built for the demands of real-time bidding at massive scale. If you're energized by hard infrastructure problems, passionate about cloud-native design, and eager to leave a lasting technical mark on a high-growth platform, this is your seat at the table.

Responsibilities

• Design and deliver cloud architecture solutions on AWS that meet the performance, reliability, and security requirements of TripleLift's exchange and data platforms
• Develop and maintain architectural standards, patterns, and reference designs that engineering teams can build confidently against
• Partner with Platform, Security, and Data Engineering teams to assess infrastructure needs and translate them into actionable, scalable designs
• Lead the evaluation and adoption of new cloud services and technologies, providing clear recommendations grounded in technical and business context
• Drive infrastructure as code practices using Terraform or equivalent, ensuring consistency, repeatability, and auditability across environments
• Collaborate with DevOps and Engineering teams to integrate cloud architecture best practices into CI/CD pipelines and deployment workflows
• Conduct architectural reviews and design critiques, providing substantive, constructive feedback that raises the bar across the team
• Identify and address performance bottlenecks, reliability risks, and cost inefficiencies in existing and proposed cloud systems
• Support cloud security and compliance efforts, including IAM design, network segmentation, encryption strategies, and adherence to SOC2 and PCI standards
• Mentor engineers on cloud-native design principles and serve as a go-to resource for complex infrastructure decisions

What You Bring

• 10+ years of experience in cloud infrastructure or platform engineering, with at least 3 years focused on cloud architecture
• Expert-level proficiency with AWS and its core services (EKS, EC2, RDS, S3, VPC, IAM, CloudFront, and beyond)
• Strong command of infrastructure as code (Terraform preferred) and modern CI/CD tooling (GitHub Actions or equivalent)
• Experience designing for high-throughput, low-latency workloads—adtech, fintech, or media platform experience is a meaningful plus
• Solid understanding of cloud security principles, including network architecture, IAM, secrets management, and compliance frameworks (SOC2, PCI, NIST CSF)
• Proficiency in at least one scripting or systems language (Python, Go, or similar) for automation and tooling
• Strong architectural intuition with the ability to weigh tradeoffs across performance, cost, complexity, and maintainability
• Clear, confident communicator who can engage equally well with engineers and business stakeholders
• Self-directed and comfortable driving work forward with limited oversight in a fast-moving environment
• A continuous learner who keeps a close eye on the evolving cloud landscape and brings that knowledge back to the team

The Role

We’re seeking a seasoned Senior/Principal Software Engineer to join our dynamic team and drive meaningful business impact across our product capabilities and technical systems. This role is ideal for someone who thrives in autonomy, navigates ambiguity with confidence, and consistently raises the bar for technical excellence and team collaboration.

You’ll be a key contributor in designing scalable systems, shaping technical roadmaps, and mentoring teammates—all while aligning engineering decisions with long-term business goals and customer impact.

Responsibilities

• Work with and learn from a talented team of engineers and product managers located in India, Switzerland and the United States
• Independently drive initiatives that create measurable business value across teams and systems
• Provide input to the technology roadmap; innovate and bring new challenging ideas to life
• Work with team members and other stakeholders to understand requirements, review user feedback, plan development tasks, and prototype new product features
• Architect robust software and microservices aligned with strategic objectives and long-term scalability
• Ensure high standards through code reviews, design critiques, and technical leadership
• Make informed technical choices rooted in deep understanding of business context and customer needs
• Support teammates’ development with empathetic, constructive feedback and coaching
• Build strong relationships across disciplines, identify talent gaps, and foster inclusive team culture

What You Bring

• 7+ years of professional experience in software engineering, ideally within the AdTech domain
• Proven track record of delivering impactful software solutions in Java, Python and PHP
• Hands-on experience with:
• Docker, HCL, GitHub Actions
• Microservices architecture
• OpenFGA, Auth0, RedPanda, AWS
• Mysql
• Strong systems thinking and ability to balance technical depth with business context
• Excellent communication skills and a collaborative mindset
• Passion for mentoring, inclusive culture-building, and driving technical excellence

Who You Are

Not only do you have broad and deep knowledge of software development technologies, but you are also deeply curious about how knowledge flows through complex organizations. You enjoy designing systems that make information easier to structure, store, retrieve, and reuse across teams and tools.

You have a strong sense of empathy for both technical and non-technical collaborators and are able to translate complex system designs into concepts that content designers, product managers, and business stakeholders can understand.

You are particularly excited about the emerging intersection of AI systems, structured knowledge, and modern content infrastructure. You enjoy building foundational systems that enable others—engineers, designers, support teams, and AI tools—to work more effectively.

In this role, you will partner closely with content strategists, designers, and product teams to build the infrastructure that powers Justworks’ internal knowledge systems and AI capabilities. This work includes designing systems that store structured knowledge, expose it through APIs, and enable downstream tools—including AI assistants—to retrieve reliable context.

Your Success Profile

What You Will Work On

• Design and build the foundational infrastructure that enables structured knowledge to be stored, versioned, and retrieved across the organization
• Partner with Content Design, Product, and Engineering teams to translate knowledge architecture (taxonomy, content models, decision tables, and policy relationships) into technical systems
• Stand up and configure a headless CMS platform that implements the organization’s knowledge operating model, translating content models, taxonomy, and governance structures defined by Content Design into scalable technical systems
• Develop APIs and services that expose structured knowledge to internal tools, AI assistants, and future product experiences
• Build and maintain integrations between knowledge storage systems and AI tooling, including retrieval pipelines and experimentation with RAG-based architectures
• Prototype using lightweight tooling (e.g., Git-based content repositories, markdown workflows, and developer-friendly authoring environments)
• Collaborate with engineers and designers to identify opportunities where structured knowledge can improve product development workflows and AI capabilities
• Evaluate and recommend technology approaches for knowledge storage and delivery (e.g., headless CMS platforms, structured content repositories, search infrastructure)
• Establish scalable patterns for content versioning, governance workflows, and structured metadata management
• Work with cross-functional stakeholders to ensure the system supports internal enablement needs such as SOPs, policies, decision trees, and operational guidance
• Continuously iterate on the architecture as the organization’s knowledge systems mature and new use cases emerge

How You Will Do Your Work

As a Senior Engineer working on foundational systems, how results are achieved is paramount for your success and ultimately for our success as an organization.

In this role, your foundational knowledge, skills, abilities and personal attributes are anchored in the following competencies:

• Systems thinking – the ability to understand complex systems and design infrastructure that supports multiple teams, workflows, and downstream consumers.
• Good judgment – exercising critical thinking when evaluating architectural decisions, balancing long-term platform goals with pragmatic iteration.
• Resourcefulness – taking a pragmatic, experimental approach to building early versions of systems while designing for future scalability.
• Teamwork and communication – collaborating closely with engineers, content designers, and non-technical stakeholders to translate business knowledge into technical systems.
• Curiosity and technical exploration – staying engaged with emerging approaches to knowledge infrastructure, AI tooling, retrieval systems, and structured content architectures.
• Skills and knowledge – the capacity to actively learn and apply new technologies and architectural patterns that improve how knowledge flows across the organization.

In addition, all Justworkers focus on aligning their behaviors to our core values known as COGIS. It stands for:

• Camaraderie – Day to day you can be seen working together toward a higher purpose. You like to have fun. You’re an active listener, treat people respectfully, and have a strong desire to know and help others.
• Openness – Your default is to be open. You're willing to share information, understand other perspectives, and consider new possibilities. You’re curious, ask open questions, and are receptive to thoughts and feedback from others.
• Grit – You demonstrate grit by having the courage to commit and persevere. You’re committed, earnest, and dive in to get the job done well with a positive attitude.
• Integrity – Simply put, do what you say and say what you'll do. You’re honest and forthright, have a strong moral compass, and strive to match your words with your actions while leading by example.
• Simplicity – Be like Einstein: “Everything should be made as simple as possible, but no simpler.”

Technologies Used

Technologies may evolve as the platform matures, but current systems across the Justworks engineering organization include:

• Golang, Ruby on Rails, Javascript
• MySQL, Redis, ElasticSearch
• Kafka, Temporal
• AWS infrastructure
• Git and GitHub workflows
• Docker, Kubernetes
• Terraform
• CircleCI
• DataDog

Experience with the following areas is also helpful for this role:

• Headless CMS platforms (e.g., Contentful, Sanity, Strapi)
• Git-based content workflows and markdown repositories
• Knowledge retrieval systems and RAG architectures
• Search and indexing systems
• API-driven content platforms 

Qualifications

• 7+ years of experience as a software engineer building production systems
• Strong experience designing APIs and backend services that support multiple downstream consumers
• Experience working with structured content systems, CMS platforms, or knowledge management infrastructure
• Experience leading the technical implementation of complex systems and coordinating work across multiple engineers, including delegating implementation tasks and guiding architectural decisions
• Experience designing or integrating systems that support information retrieval or search
• Familiarity with modern AI tooling and experience integrating LLM-based workflows with structured knowledge sources
• Experience designing systems that model relationships between entities, policies, or domain concepts
• Strong collaboration skills and ability to work closely with non-engineering partners such as content strategists, designers, and product managers
• Ability to operate autonomously in ambiguous problem spaces and design pragmatic early-stage solutions

The base wage range for this position based in our New York City Office is targeted at $167,500.00 to $235,000.00 per year.

Overview

We are seeking an Azure Cloud Engineer to join our team. The ideal candidate will have a robust background in cloud security and a strong capability in DevOps practices. This role will focus on developing secure, scalable infrastructure and automating processes to ensure high availability within our Azure environments. You will act as a bridge between security and operations, leading efforts to secure and optimize our systems while ensuring robust observability, monitoring, and proactive incident management. 

Responsibilities

• Infrastructure and Security Architecture: Design and implement secure, scalable infrastructure in Azure, integrating security best practices across the stack. Manage CI/CD pipelines with a focus on security, including Azure Policy enforcement and VM image hardening.
• SRE and DevOps Practices: Partner with the infrastructure team to enhance the reliability and performance of our systems. Implement and manage monitoring, alerting, and automation tools to ensure excellent system observability.
• Incident Response and Resilience: Lead security incident response efforts within the Azure ecosystem. Develop and maintain security incident response playbooks and automate responses to minimize impact and recovery time.
• Security and Compliance Management: Deploy and maintain tools like Azure Security Center to manage cloud security posture, identify vulnerabilities, and ensure compliance with organizational and regulatory standards. Implement security policies within CI/CD pipelines to ensure secure software delivery.
• Cross-Functional Collaboration: Work closely with engineering, infrastructure, and IT teams to improve security practices across infrastructure and applications. Provide expertise on container security, role management, and policy enforcement within development workflows.
• Automation and Tooling: Develop automation scripts and workflows using Azure Logic Apps, Azure DevOps, Terraform, and Python to streamline security and operational tasks. Drive initiatives to reduce manual intervention and enhance system reliability and security.

Requirements

• 8+ years in cloud security and SRE/DevOps roles, with a focus on Azure environments.
• Strong automation skills with Terraform and Bash scripting; Python and Terragrunt are a plus.
• Knowledge of containerization technologies, including Docker, Kubernetes, and Azure Kubernetes Service (AKS).
• Proficiency in Azure technologies, including Azure App Service, Azure Functions, Azure Storage Accounts, Azure API Management, Key Vault, Azure App Configuration, and Logic Apps.
• SQL and NoSQL knowledge, including Azure SQL, Azure Cache for Redis, and Azure Cosmos DB.
• Familiarity with Azure Governance, including Blueprints, policies, tagging, cost management, and savings plans.
• Strong monitoring knowledge, especially in Azure Monitor, Application Insights, and Datadog.
• CI/CD skills in GitHub Actions and similar technologies.
• Networking proficiency, including Azure Front Door, Azure WAF, Cloudflare, Azure Firewall, and Azure VNet.
• Cloud Architecture & Design: Ability to develop secure, scalable, and highly available multi-region Azure cloud solutions aligned with business goals.
• Knowledge of .NET, Istio, Helm, KEDA, Dapr, and ArgoCD is a plus.
• Certifications: Preferred certifications include Microsoft Certified: Azure Solutions Architect Expert and CKA: Certified Kubernetes Administrator, or similar.

This role is not open to visa sponsorship or transfer of visa sponsorship including those on H1-B, F-1, OPT, STEM-OPT, or TN visa, nor is it available to work corp-to-corp.

This role requires a hybrid schedule and will be based in our South Charlotte, NC or New York, NY office (Tuesday through Thursday) and optional remote days on Mondays and Fridays each week.

Our RV Growth and Transformation team is seeking a Director of Agentic Digital Operations to serve as a strategic operator and transformation leader at the intersection of AI, digital experience, and business operations.

In this role, you’ll work with RV senior leaders and partner with Fortune 500 clients to drive growth across their digital experiences while designing and deploying AI-powered (agentic) systems that enable broader business transformation.

You will own the overall strategy development, system and workflow design, roadmap definition, enablement, and ongoing operation of client partnerships. You will operate across cross-functional groups (including agentic workforce, data science / AI, compliance, creative, and engineering), with the ability to think at the enterprise level while working deeply in systems, data, and execution.

Travel to partner locations is an expected component of this role to support relationship management and business objectives.

What You'll Do:

• Operate as an owner across the full lifecycle, from strategy formation to system design, deployment, and operational execution, defining vision, pressure-testing with data, and delivering measurable business outcomes.
• Translate strategic objectives into scalable, production-grade workflows and system designs, including:
  • Multi-step, event-driven processes
  • API integrations across internal and third-party systems
  • AI-powered decisioning (e.g., routing, scoring, prioritization)
• Architect and deploy agentic workflows that combine:
  • LLM-powered reasoning (e.g., OpenAI, Anthropic)
  • Retrieval systems (structured and unstructured data, RAG)
  • Tool execution via APIs (e.g., CRM updates, content generation, customer interactions)
• Identify and deploy AI-native workflows across the workstreams, embedding them into our joint operations complying with industry and client specific regulations. Improving our speed to market, client revenue growth, insight generation and efficiency.
• Define and manage quantifiable KPIs, tying them to P&L outcomes to build business cases for new initiatives and strategies.
• Establish and iterate on evaluation and monitoring frameworks for AI systems, including:
  • Accuracy and task success rates
  • Latency and cost optimization (LLM/API usage)
  • Reliability, fallback logic, and observability
• Leverage data to understand user behavior and system performance, using SQL, BI tools, and/or Python to uncover insights and inform both strategy and system improvements.
• Operate with agility—continuously pivoting and refining systems and strategies as new data, model capabilities, and business needs emerge.
• Shape narratives and own key communication channels with senior leaders, translating complex system performance and data into clear business insights and strategic recommendations.
• Build strong, trust-based relationships with client stakeholders by understanding their goals and clearly communicating system designs, roadmaps, and performance outcomes.
• Support RVGT’s broader business development efforts by identifying opportunities to expand and deepen client engagements through AI-driven transformation.

What We're Looking For:

• 7+ years of experience in digital operations, product, analytics, or technical strategy roles, with a strong track record of driving measurable business outcomes. Financial services experience preferred.
• Demonstrated experience designing and deploying AI-powered or automated workflows in production environments, including systems that:
  • Make decisions (not just trigger actions)
  • Integrate multiple data sources and APIs
  • Execute multi-step processes across tools and platforms
• Proven track record of leading large-scale technology and/or operational initiatives, from concept through deployment and optimization.
• Strong understanding of agentic systems and modern AI architectures, including:
  • LLM integrations (e.g., OpenAI, Anthropic)
  • Retrieval-augmented generation (RAG)
• Experience working with API-driven systems and cross-platform integrations, in close partnership with engineering teams.
• Ability to translate ambiguous business problems into structured, scalable system designs and workflows.
• Strong analytical capabilities, including experience:
  • Querying data with SQL
  • Building visualizations in BI tools (Looker, Tableau, Power BI)
  • Using data to drive decision-making and system optimization
  • Python experience is a plus
• Deep experience defining and managing KPIs tied to business performance, including acquisition, engagement, retention, and revenue outcomes.
• Proven ability to operate in ambiguous, fast-paced environments, creating structure and driving execution.

Show Us Your Work

We care about what you’ve built. In your application, please share GitHub repos, demos, writeups, or anything that shows your approach to AI-native development. Side projects, open-source contributions, and technical blog posts all count.

Compensation:

This range reflects total cash compensation, which may include base salary only or base salary plus target bonus, depending on the role. Where eligible, equity may also be offered separately and not included below. Actual compensation varies based on location, experience, and qualifications.

• Total Cash Compensation Range: $122,000 - 183,000 + bonus + potential equity

*New York City Total Cash Compensation Range: $152,000 - 228,000 + bonus + potential equity

Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements.

• Health Insurance Coverage (medical, dental, and vision)
• Life Insurance
• Short and Long-Term Disability Insurance
• Flexible Spending Accounts
• Holiday Pay
• 401(k) with match
• Employee Assistance Program
• Paid Parental Bonding Benefit Program
• Flexible Paid Time Off (PTO): We believe time to rest and recharge is essential.  That’s why we offer a generous and flexible PTO policy.  Full-time employees accrue 20 days of PTO for a full calendar year annually, with an increase to 25 days after five years of service.

Who We Are:

Red Ventures is a global portfolio of high-growth companies — spanning several U.S. businesses, a joint venture in the health services industry, and strategic investments in Europe. Their businesses include The Points Guy, Lonely Planet, Bankrate, the Allconnect Platform, RV Home Client Growth, RV Growth & Transformation, Sage Home Loans Corporation, and more. Across the portfolio, Red Ventures businesses deliver seamless digital experiences for consumers, help Fortune 100 clients solve large-scale digital growth challenges, and create world-class experiences and opportunities for employees. Learn more at redventures.com and follow @RedVentures on LinkedIn and Instagram.

At Red Ventures, we believe diverse, inclusive teams are better. To help you better understand our core values and beliefs, we encourage you to watch this brief YouTube video: Our Belief Statements. This will give you insight into the principles that guide our work and our commitment to fostering an inclusive environment.

 We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.

Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications. 

We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com. 

If you are based in California, we encourage you to read this important information for California residents linked here.

At Red Ventures, we believe in real human connection. That’s why we do not hire someone through text, social media, or email only. As part of the hiring process, you should expect live conversations with RV teammates before any offer is made. Also, keep an eye on the sender: we only use official @redventures.com email addresses at the portfolio level or business specific email addresses (e.g., @thepointsguy.com), not ones like “redventurescareer.com.” We will never ask candidates to send money, buy equipment, or share financial account info during your journey with us. You can always find our open roles on redventures.com— if you receive a message that seems suspicious, please use redventures.com to verify the opportunity.

For more, the U.S. Federal Trade Commission has published helpful articles to help individuals learn more about protecting themselves from recruiter scams. If you think you’ve been targeted, feel free to report it to your local authorities. Stay safe out there!

#LI-HYBRID

This role is not open to visa sponsorship or transfer of visa sponsorship including those on H1-B, F-1, OPT, STEM-OPT, or TN visa, nor is it available to work corp-to-corp.

This role requires a hybrid schedule and will be based in our South Charlotte, NC or New York, NY office (Tuesday through Thursday) and optional remote days on Mondays and Fridays each week.

Red Ventures Growth and Transformation partners with financial institutions to build digital products, customer platforms, and marketing technology solutions that drive acquisition, deepening, and retention. 

Red Ventures is looking for a technically strong, growth-minded Engineering Manager to lead a client-facing engineering team within our Banking Client Services organization. You’ll own the engineering delivery and site operations for a financial services’ web presence, leading a small team today with a clear path to growth as the client partnership expands.

What sets this role apart: you’ll operate at the intersection of client-facing engineering leadership and modern AI-augmented workflows. Our teams are actively integrating agentic tooling and automation into how we code, manage tickets, maintain compliance, and solve problems alongside our business and data science partners. We’re looking for someone who is energized by this shift and ready to lead a team through it.

This role reports to the Director of Engineering and will serve as the technical lead on client engagements when needed, with the Director’s support. The ideal candidate has strong communication instincts and the desire to grow into an increasingly senior client-facing leadership role over time.

Travel to partner locations is an expected component of this role to support relationship management and business objectives.

Curious how Growth and Transformation fits into Red Ventures? Click here. 

What You’ll Do:

Team & Client Leadership

• Lead a team of software engineers responsible for the engineering delivery and site operations of a financial services web platform.
• Serve as the technical lead on client calls and escalations, communicating complex technical topics clearly to both technical and non-technical stakeholders.
• Collaborate with designers, customer experience leads, business stakeholders, and leadership to deliver high-quality solutions that strengthen client trust.
• Position engineers for success through coaching, mentorship, regular feedback, and personal development planning.

AI & Process Modernization

• Champion the adoption and effective use of agentic workflows and AI-assisted tooling for coding, ticket management, compliance, and engineering process improvement.
• Leverage internally-built automation and AI tooling to increase team efficiency, reduce manual toil, and improve delivery quality.
• Partner with business and data science teams to identify and implement AI-driven solutions to operational and client-facing problems.
• Stay current with emerging AI/ML tooling for software development (IDE integrations, CLI agents, code review automation) and evaluate their fit for the team.

Site Operations & Engineering Excellence

• Drive SRE best practices: observability, incident response, reliability, and operational maturity for client-facing web properties.
• Improve engineering processes, CI/CD pipelines, code quality, and testing practices across the team.
• Demonstrate project and roadmap planning skills, balancing client commitments with operational health and team investment.

What We’re Looking For:

Leadership & Communication

• Experience managing and mentoring software engineers, including coaching, delivering feedback, and supporting career growth.
• Strong verbal and written communication skills with the ability to translate technical concepts for non-technical audiences, including client stakeholders.
• Skills in managing team dynamics, navigating conflict constructively, and building a collaborative, psychologically safe environment.
• Experience collaborating across functions: design, marketing, data science, and business partners to align on priorities and deliver outcomes.
• Comfort operating as a technical lead on client-facing calls and escalations with leadership support.
• 3+ years of engineering management experience

Software Engineering

• Proficiency in web development languages and frameworks (e.g., JavaScript/TypeScript, HTML/CSS, React, Node.js).
• Understanding of web application architecture: client-server models, RESTful services, and microservices.
• Strong emphasis on code quality: code reviews, testing strategies (unit, integration, end-to-end), and engineering best practices.
• Experience with Agile/Scrum methodologies and managing delivery through sprints and iterative planning.
• Familiarity with CI/CD pipelines and deployment tooling (e.g., Harness, GitHub Actions).

AI Fluency & Automation Mindset

• Demonstrated comfort with AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude, or similar IDE/CLI integrations).
• Familiarity with agentic workflows or automation frameworks used to streamline engineering, compliance, or operational processes.
• A proactive mindset toward identifying opportunities to apply AI and automation to reduce toil and improve outcomes.
• Willingness to experiment, evaluate new tooling, and lead a team through adoption of emerging AI capabilities.

Data, Accessibility & Security

• Understanding of web analytics tools (e.g., Google Analytics, Mixpanel) and the ability to use data to inform engineering decisions.
• Familiarity with databases (SQL and NoSQL) and their integration with web applications.
• Knowledge of WCAG accessibility standards and experience implementing accessibility testing practices.
• Familiarity with process and controls required in SOC2 operations. Demonstrated experience leading in SOC2 environments preferred.  
• Understanding of web security principles (OWASP guidelines) and data handling regulations (e.g., GDPR, CCPA), particularly important in a financial services context.

Compensation:

This range reflects total cash compensation, which may include base salary only or base salary plus target bonus, depending on the role. Where eligible, equity may also be offered separately and not included below. Actual compensation varies based on location, experience, and qualifications.

• Total Cash Compensation Range
  • Charlotte, NC Hybrid Compensation Range: $130,000 - $210,000 per year 
  • New York, NY Hybrid Compensation Range: $162,500- $262,500 per year  

Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements.

• Health Insurance Coverage (medical, dental, and vision)
• Life Insurance
• Short and Long-Term Disability Insurance
• Flexible Spending Accounts
• Holiday Pay
• 401(k) with match
• Employee Assistance Program
• Paid Parental Bonding Benefit Program
• Flexible Paid Time Off (PTO): We believe time to rest and recharge is essential.  That’s why we offer a generous and flexible PTO policy.  Full-time employees accrue 20 days of PTO for a full calendar year annually, with an increase to 25 days after five years of service.

Who We Are:

Red Ventures is a global portfolio of high-growth companies — spanning several U.S. businesses, a joint venture in the health services industry, and strategic investments in Europe. Their businesses include The Points Guy, Lonely Planet, Bankrate, the Allconnect Platform, RV Home Client Growth, RV Growth & Transformation, Sage Home Loans Corporation, and more. Across the portfolio, Red Ventures businesses deliver seamless digital experiences for consumers, help Fortune 100 clients solve large-scale digital growth challenges, and create world-class experiences and opportunities for employees. Learn more at redventures.com and follow @RedVentures on LinkedIn and Instagram.

At Red Ventures, we believe diverse, inclusive teams are better. To help you better understand our core values and beliefs, we encourage you to watch this brief YouTube video: Our Belief Statements. This will give you insight into the principles that guide our work and our commitment to fostering an inclusive environment.

 We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.

Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications. 

We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com. 

If you are based in California, we encourage you to read this important information for California residents linked here.

At Red Ventures, we believe in real human connection. That’s why we do not hire someone through text, social media, or email only. As part of the hiring process, you should expect live conversations with RV teammates before any offer is made. Also, keep an eye on the sender: we only use official @redventures.com email addresses at the portfolio level or business specific email addresses (e.g., @thepointsguy.com), not ones like “redventurescareer.com.” We will never ask candidates to send money, buy equipment, or share financial account info during your journey with us. You can always find our open roles on redventures.com— if you receive a message that seems suspicious, please use redventures.com to verify the opportunity.

For more, the U.S. Federal Trade Commission has published helpful articles to help individuals learn more about protecting themselves from recruiter scams. If you think you’ve been targeted, feel free to report it to your local authorities. Stay safe out there!

#LI-KS1 #LI-HYBRID

ABOUT THE ROLE

The backend teams at Peloton help power experiences across our Product portfolio as well as our Mobile applications. We enable our members to discover and take live and on-demand classes across any number of fitness disciplines, compete on the leaderboard, take part in challenges, connect with each other, and much more. We’re looking for strong, passionate senior software engineers to join us in our quest to improve these experiences and build entirely new ones, while scaling our architecture to support many millions of members. We are an AI-forward organization that embraces modern AI tools and techniques to enhance developer productivity and accelerate innovation. We're looking for engineers who are excited about AI and proficient in leveraging it as part of their daily workflow. At Peloton, intelligent and motivated engineers can have a tremendous impact on what we create and how we create it. Help us build the future of fitness! 

YOUR DAILY IMPACT AT PELOTON

• Be a valued member of an autonomous, multi-functional agile team
• Build business-critical services with a focus on high availability, low latency, security, and scalability
• Be a technical leader within the team you work with and within Peloton in general 
• Shape technical architecture and best practices that scale across teams
• Mentor engineers across the team, providing technical guidance and fostering a culture of engineering excellence

YOU BRING TO PELOTON

• 6+ years of experience developing high-performance, highly scalable backend systems
• Hands-on experience with AI and demonstrated proficiency using AI tools (e.g., LLMs, code assistants) to enhance productivity in your day-to-day development work
• Hands-on experience building, testing, deploying, and monitoring services
• Hands-on experience implementing event-driven architectures
• Experience with both relational (e.g. PostgreSQL, MySQL) and NoSQL (e.g. DynamoDB, Cassandra, Mongo) databases and caching systems (e.g. Memcached, Redis)
• Expertise in Kotlin, Python, or similar languages
• Experience with request processing such as REST, gRPC, or GraphQL
• Familiar with deployment tools/environments such as Kubernetes, Terraform, GitHub Actions, Jenkins, etc. 

#LI-JS2
#LI-Hybrid

Major League Baseball is hiring a Senior Software Engineer for our Web Platform Architecture team. This team is responsible for architecting, building, and operating the foundational web platform that powers MLB.com and our entire suite of digital products. This includes our cloud infrastructure, CI/CD systems, edge computing layer, and the core services that enable our product engineering teams to deliver features safely, quickly, and at a massive scale for millions of users.

As a Senior Software Engineer on this team, you will play a pivotal role in shaping the reliability, scalability, and performance of our digital platforms by writing code and building systems. You will be a hands-on developer, creating core services in Node.js, building solutions on our edge network, engineering the automated infrastructure that underpins it all using Terraform, as well as experience building and maintaining CDNs across Fastly and Cloudflare. You will collaborate closely with cross-functional, results-oriented teams to enhance security, performance, and developer experience across our websites and services.

Responsibilities

• Develop and maintain core platform services, libraries, and tools in Node.js and TypeScript that improve developer experience and system-wide functionality
• Architect and implement solutions on our edge computing platform (e.g., Cloudflare Workers, Fastly Compute@Edge) to enhance performance, security, and reliability
• Design, build, and maintain the software and systems that power our CI/CD pipelines, enabling developers to ship code with confidence and speed
• Architect, maintain, and optimize our cloud infrastructure using Infrastructure as Code (IaC) principles (Terraform, Kubernetes)
• Drive continuous improvement initiatives to enhance system performance, reliability, observability, and security posture
• Automate manual processes to improve engineering team velocity and system reliability
• Mentor and provide technical guidance to software engineering teams, fostering a culture of innovation, collaboration, and continuous learning

Collaboration

• Participate in an agile environment
• Participate in the full software development life cycle (requirements gathering, designing, building, testing, and maintenance)
• Proactively seek constructive criticism of your own work and offer constructive feedback to others in a way that raises people up and builds relationships
• Participate in and lead triage efforts during production incidents, including managing on-call rotations and post-mortems

Technology Leadership

• Lead and take ownership of critical platform features and your own initiatives
• Stay abreast of emerging technologies, trends, and industry standards related to backend development, cloud infrastructure, automation, and security
• Mentor and coach engineers in your team and across the organization to build a strong engineering-focused culture
• Influence the way that baseball is consumed by millions of users worldwide

Qualifications & Skills

• Bachelor’s degree in Computer Science, Software Engineering, or a comparable field of study, and/or equivalent work experience
• 5+ years of professional software development experience, with a significant focus on backend services, web platforms, or infrastructure engineering
• Strong proficiency in modern programming languages, particularly Node.js and TypeScript, for building backend services and tools
• Proven experience developing for edge computing platforms (e.g., Cloudflare Workers, Fastly Compute@Edge)
• Deep experience with cloud-native tooling such as Kubernetes, Docker, and Terraform
• Experience with at least one major Cloud platform (Google Cloud, AWS, or similar)
• Expertise in designing and building CI/CD solutions (e.g., Github Actions, Tekton)
• Experience with CDNs such as Cloudflare and Fastly and proxy technologies such as HAProxy or Nginx
• Strong background in monitoring and observability tools (e.g., Prometheus, Grafana, Datadog)

Preferred Qualifications

• Experience with Google Cloud
• Experience with HAProxy and the Fastly CDN
• Experience in full-stack JavaScript development, building and maintaining both Node.js backend services and modern frontend applications (e.g., React, Vue, Svelte)
• Professional certification in a major cloud platform (e.g., Google Professional Cloud Developer, AWS Certified Developer/DevOps Engineer)
• Experience contributing to open-source projects
• Master’s degree in Computer Science, Software Engineering, or a comparable field of study

Nice to Have

• A baseball fan or sports enthusiast

Salary Range: $150,000 - $185,000 (Base Salary) + Bonus

As a candidate for this position, your salary and related aspects of compensation will be contingent upon your work experience, education, skills, and any other factors MLB considers relevant to the hiring decision. In addition to your salary, MLB believes in providing a competitive compensation and benefits package for its employees. 

Top MLB Perks & Benefits

• Competitive Benefits Package
• Company 401K Contribution
• Paid Time Off and Holidays
• Paid Parental Leave
• Access to Free Tickets to Baseball Games & MLB.TV
• Discounts at MLB Store | MLBShop.com
• Employee Assistance Programs (EAP)
• Onsite/Online Training & Development Programs
• Tuition Reimbursement
• Disability Benefits (short term and long term)
• Life and Accidental Death Insurance
• Pet Insurance

Why this role?

Warp is scaling its enterprise motion around Oz Cloud Agents — cloud-connected background agents that run from events, schedules, or integrations, giving teams scalable automation with shared observability. As enterprises adopt Oz, they need hands-on technical guidance to deploy production agents — configuring environments, designing agent workflows, setting up self-hosted infrastructure, and iterating on prompts and skills. We're hiring an Implementation Engineer to be the dedicated technical lead for these engagements.

This person will run our structured Implementation Support program, working directly with customer engineering teams from use case selection through production deployment. You'll sit at the intersection of engineering and enterprise GTM; building alongside customers, not just advising. You'll architect agent workflows, configure Docker environments, write skills and prompts, debug integrations, and guide self-hosted deployments. You'll also work closely with Product and Engineering to translate field learnings into product improvements, shaping the platform based on what you see in the field.

As an Implementation Engineer, you will...

• Lead implementation engagements end-to-end. Run our multi-week implementation support program — from kickoff (requirements gathering, use case selection, success criteria definition) through weekly implementation sessions to wrap-up (outcome review, ROI validation, expansion planning).
• Architect agent workflows with customers. Help enterprise teams design agent architectures for their specific use cases — selecting agent triggers, configuring sandboxed environments, and structuring multi-step agent workflows.
• Build alongside customers. Write and iterate on agent prompts, skills, and configurations. Set up environments, secrets, MCP servers, and integrations. Debug agent runs using session sharing and observability tools.
• Guide self-hosted deployments. For enterprises running agents on their own infrastructure, help configure self-hosted workers, Docker daemon connectivity, private registries, and task routing.
• Develop reusable implementation patterns. Document architecture patterns, reference implementations, and best practices that accelerate future deployments. Contribute to the Oz skill and template ecosystem.
• Be the voice of the customer to Product and Engineering. Surface implementation friction, feature gaps, and common pain points. Translate customer needs into actionable product feedback that shapes the Oz platform roadmap.
• Provide ongoing technical support. Respond to customer questions via Slack with same-business-day SLA. Troubleshoot agent failures, environment issues, and integration problems.

You May Be A Good Fit If...

• You have 3+ years of experience in implementation engineering, solutions engineering, forward-deployed engineering, or a similar customer-facing technical role.
• You have a strong software engineering background — you're comfortable writing production-quality code, debugging distributed systems, and working across the stack.
• You have experience with Docker, CI/CD pipelines, cloud infrastructure (understanding of container orchestration, image management, and deployment patterns), Kubernetes, Linux, and cloud providers (AWS, GCP, Azure).
• You're familiar with AI/LLM concepts — prompt engineering, agent architectures, tool use, and evaluation of non-deterministic systems.
• You have experience working with developer tools, DevOps platforms, or infrastructure software.
• You can manage multiple concurrent customer engagements while maintaining high quality and clear communication.
• You have excellent communication skills — you can explain complex technical concepts clearly to both engineering leads and executive stakeholders.

Bonus

• You have experience building or deploying AI agents in production (LangChain, custom agent frameworks, or similar).
• You have experience with GitHub Actions, webhooks, and event-driven automation.
• You're familiar with enterprise security and compliance requirements (SOC 2, self-hosted deployments, network boundary constraints).
• You've worked with APIs/SDKs in a customer-facing capacity (building integrations, writing client libraries, or doing technical enablement).
• You have experience with terminal applications, shell scripting, or command-line tooling.

At Warp, we are dedicated to building a diverse, inclusive, and authentic workplace. So if you’re excited about this role, but your past experience doesn’t align perfectly with every qualification in this job description – we encourage you to apply anyways! We are a community of curious learners, and most of us are learning some skills for the first time (like our engineers learning to program Warp in Rust). You might be just the right candidate for this or other roles.

If you're feeling playful, try out our optional hiring challenge and submit your answers with your application: https://github.com/warpdotdev/hiring-challenge

Salary Transparency

Total compensation at Warp consists of two parts: 1) a competitive base salary, and most importantly, 2) meaningful equity.

When we find the right person, we try to put our best foot forward with an offer that excites you. We consider what you’d like to be paid, the skills and level of experience you bring, what similar jobs pay, and make sure there’s equal pay for equal work among those you’ll be working with. The budgeted compensation amount for this role is targeted at $180,000 - $220,000.

In addition to salary, all employees receive further compensation in the form of equity in the company. This is a meaningful stock option grant with a four-year vesting period and one-year cliff. Your equity is where most of the significant upside potential is. Comparing startup equity is always a bit tricky, so we’re happy to walk you through different valuation scenarios at the offer stage in order to help paint a clearer picture of the upside.

Final total compensation is determined by multiple factors including your experience and expertise and may vary from the amounts listed above.

What We Offer

• Competitive Salary & Meaningful Equity – we will stretch to get the right talent on board
• Full Medical, Dental, and Vision Benefits for employees (80% coverage for dependents)
• Flexible remote-first culture, with optional office spaces in NYC and SF for folks who want to work together IRL 
• Pre-tax FSA Health Savings Plan
• Pre-tax Commuter Benefit
• 20-days of Paid Time Off
• Unlimited Sick Time Off
• 12 US Holidays
• 16 weeks of paid Parental Leave for both birthing and non-birthing parents
• Twice-a-year company retreats
• Monthly gym and internet stipend
• Guideline 401(k)
• Complimentary OneMedical membership

Individuals seeking employment at Warp are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.

The Team You’ll Work With

You'll join our Developer Experience (DevEx) team, a lean "Special Ops" unit within Carta's Infrastructure organization. Our North Star: remove friction from every step of the software delivery lifecycle so Carta's engineers can do the best work of their careers.

We own CI/CD infrastructure, GitHub governance across 500+ repos, the rollout of AI coding tools across our company, and the internal tooling layer that lets Carta move fast without breaking things. We are systems thinkers who measure everything, because you can't optimize what you don't understand.

Carta is making a company-wide bet on AI-native development, and DevEx is the team defining how that happens. Six months from now, the playbook will be written. Now is when you get to write it.

The Problems You’ll Solve

As a Senior Software Engineer II on DevEx, you will:

• Build the MCP servers, agents, and plugin infrastructure that Carta's AI native development runs on, and define the patterns other engineers follow
• Design and ship agents purpose-built to solve specific developer problems across the software delivery lifecycle
• Architect and drive CI/CD pipelines that automate build, test, and deployment to accelerate delivery across R&D
• Build the infrastructure AI tooling runs on, so other engineers can build on top of it with confidence
• Mentor engineers and raise the technical bar through code reviews and architectural guidance

About You

• Experience: 8+ years in platform, backend, or fullstack engineering
• AI Builder: You've shipped production LLM systems, whether that's MCP servers or clients, AI extensions, connectors, or agents designed to solve real problems, not just demos
• Platform Mindset: You build things other engineers build on top of and think about APIs and developer ergonomics as seriously as performance
• Tech Stack: Python or Java; CI/CD tooling (CircleCI, GitHub Actions,  ArgoCD, Jenkins, Docker); cloud-native (AWS, Terraform, Kubernetes); familiarity with secrets management tooling (Vault, Cloudsmith) is a plus
• Security Aware: You think about least-privilege, token lifecycle, and supply chain risks when designing developer tooling, not just after an incident
• Execution: You break down ambiguous problems and deliver with minimal guidance, bringing data to debates and owning outcomes end-to-end

Salary

Carta’s compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions plans. Our minimum cash compensation (salary + commission if applicable) range for this role is: 

• $212,500 - $250,000 in Santa Clara, CA; San Francisco, CA; New York, NY

Final offers may vary from the amount listed based on geography, candidate experience and expertise, and other factors.

ABOUT ROCKET MONEY 🔮

Rocket Money’s mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

ABOUT THE TEAM 🤝

Data Platform Engineers at Rocket Money further our mission by building and maintaining the infrastructure that enables our company to understand our users and products through reliable, scalable data systems. We build the foundational platform that ingests, processes, and serves data—enabling our Data Analytics, Machine Learning, and Software Engineering teams to build data products efficiently. We work closely with engineering teams to ensure data is captured correctly at the source, design resilient pipelines, and create self-service capabilities that empower stakeholders.

The Data Platform team is in an exciting phase of growth and formalization. While we have established tools and processes in place (dbt, BigQuery, Terraform), we're actively building the comprehensive standards, practices, and systems that will scale with Rocket Money as it grows. We're looking for engineers who can take ownership and evolve workflows into reliable, well-documented, production-grade systems. This is an opportunity to shape architectural decisions, establish team practices, and define how Rocket Money works with data for years to come.

We have a strong preference for process-oriented systems thinkers who excel in balancing stakeholder requirements, technical debt, and organizational complexity—and who thrive in environments where they need to create structure from ambiguity. You'll need to be comfortable making principled decisions, taking ownership not just of code but of outcomes, and operating with significant autonomy as we build the platform together.

ABOUT THE ROLE 🤹

In this role, you will:

• Be an end-to-end owner of our data platform infrastructure, ensuring its security, usability, and performance. Work closely with analytics engineers, machine learning engineers, and software engineers to ensure the platform meets their needs.
• Make collaborative decisions about data tooling, pipeline design, and governance, and implement opinionated interfaces that facilitate easy and best-practice-aligned development for other teammates.
• Continuously improve failure rates for data sources by moving alerting “to the left”; i.e. catching and quarantining bugs/failures as close to the source as possible.
• Analyze patterns in how source data is generated, modeled, and consumed. Work with stakeholders to implement the best solution when new data sources are added.
• Take ownership of existing tools and workflows that may be functional but lack formal structure, documentation, or reliability measures. You'll assess what's working, identify gaps, and systematically improve systems to production-grade quality.
• Document everything you build knowing that you're creating the foundation others will build upon. Your runbooks, architecture decision records, and system documentation will become the institutional knowledge of our data platform.
• Proactively communicate with multiple stakeholders on platform capabilities, technical constraints, architectural decisions, project priorities, and platform support.
• Confidently juggle multiple projects and priorities in our fast-paced environment and work with stakeholders and platform teammates to ensure infrastructure changes, migrations, and improvements are delivered on schedule.
• Automate aggressively and deliberately; anything from GitHub Actions to Slack Workflows to minimize repetitive tasks. Effectively judge when the level of effort is appropriate and avoid over-engineering.

ABOUT YOU 🦄

• You have 6+ years of experience working with data infrastructure, data engineering, or platform engineering within a fast-paced environment. You are highly proficient with SQL, Python, and cloud-based Infrastructure-as-Code (e.g. Terraform), and comfortable working with bash/shell scripting.
• You have 4+ years of production experience with modern data stacks including data warehouses (BigQuery, Snowflake, or Redshift), orchestration tools, managed ingestion services, and infrastructure as code (Terraform, Pulumi, or CloudFormation).
• You have 2+ years of experience building and maintaining production data pipelines, whether through ELT tools, custom applications, streaming systems, or event-driven architectures.
• You've successfully "professionalized" data infrastructure before—taking scrappy, working systems and evolving them into reliable, well-documented, production-grade platforms. You can articulate what "production-ready" means in a data context.
• You have a bias toward action and aren't paralyzed by imperfect solutions. You understand when "good enough for now with a plan to improve" beats "perfect but six months late." You ship incrementally and iterate based on feedback.
• You're comfortable being the first person to tackle a problem. You don't need extensive mentorship or detailed tickets—you can take a high-level business need and figure out the technical approach. That said, you know when to ask for help and can articulate what you need.
• You take ownership seriously—not just of writing code, but of outcomes. When you build something, you implement monitoring, write runbooks, create alerts, and ensure it can be maintained by others. You think about the full lifecycle of systems, not just initial delivery.
• You have strong opinions, weakly held. You can make and defend architectural decisions, but you're open to feedback and willing to change course when presented with better information. You can disagree and commit.
• You understand that "building from scratch" doesn't mean rejecting existing tools—it means thoughtfully selecting, configuring, and integrating managed services and open-source solutions to create a cohesive platform. You know when to build and when to buy.
• You have experience making big changes to critical data infrastructure. You’ve successfully re-architected, migrated, or upgraded data tooling that has strict SLA’s, without significantly affecting downstream stakeholders.

Bonus points if:

• You have led a data infrastructure migration or modernization project where you defined the vision, approach, and implementation.
• You have created internal tools, frameworks, or CLIs that improved how teams work with data (not just one-off scripts).
• You have established data platform best practices like CI/CD workflows, testing frameworks, or observability standards where none existed.
• Expertise in cloud platforms and technologies analogous to our stack:
  • Our stack: GCP (BigQuery, Datastream, Cloud Functions, Vertex AI, GCS), dbt, Fivetran, Postgres, Python, Terraform, Looker, Retool
  • Analogous experience: AWS (Redshift, DMS, Lambda, SageMaker, S3) or Azure (Synapse, Data Factory, Functions), Snowflake, Airbyte/Stitch, infrastructure as code tools, BI platforms

WE OFFER 💫

• Health, Dental & Vision Plans
• Life Insurance
• Long/Short Term Disability
• Competitive Pay
• 401k Matching
• Team Member Stock Purchasing Program (TMSPP)
• Learning & Development Opportunities
• Tuition Reimbursement
• Unlimited PTO
• Daily Lunch, Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)

Additional information: Salary range of $160,000 - $200,000 + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money, Inc. is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

We see the world differently at Capstone Investment Advisors. You will, too.

Capstone Investment Advisors, LLC (“Capstone”) is a global asset manager, dedicated to exploring alpha opportunities in derivatives and complementary strategies that persist across market cycles. With approximately $11.8 billion of AUM (as of November 1, 2025) and 326 employees, Capstone is headquartered in New York with offices in London, Amsterdam, Stamford, Los Angeles, Boston, Tokyo, Milan, Texas, and Maryland. Since 2004, through strategic insight, market-leading expertise, and advanced technology, we have sought to anticipate and harness the complexities of world markets, creating unique opportunities for our clients, team, and industry.

With our sophisticated, global client base, we recognize that our success is deeply connected to real people. For that reason, we take a human approach to everything we do, focusing largely on collaborative performance. Our workflow and process are built around the belief that by sharing ideas, we achieve greater outcomes. This gives you greater access to resources, direct exposure to senior leadership, and new opportunities to experiment and innovate.

The Team

The Data Platform Team builds and maintains the core database technologies and automation frameworks that power Capstone’s cutting-edge investment strategies. Our mission is to build a highly automated, self-service platform that enables teams across the firm to innovate at scale.

We are looking for a motivated technologist who thrives on solving complex challenges and designing resilient, secure, and high-performance systems. You will play a key role in shaping the firm’s next-generation data platform, with opportunities to learn advanced technologies and contribute to mission-critical systems. This role offers exceptional exposure to diverse areas of the hedge fund, providing opportunities to influence critical systems and deliver impactful solutions.

Our future colleague has these skills:

• 3+ years of professional experience, ideally within the financial sector (equity, credit, derivatives trading environments)
• Engineering experience in enterprise database technologies, with strong proficiency in Microsoft SQL Server (MSSQL)
• Development experience across multiple languages (SQL, PowerShell, Python) for solving complex problems and building automation
• Automation-first mindset, including experience with Infrastructure as Code (IaC) and scripting for repeatable deployments
• Database performance tuning and optimization: ability to analyze execution plans, manage indexing strategies, and troubleshoot query bottlenecks
• Database design and modelling fundamentals: normalization, constraints, transactions, and schema versioning
• Version control and CI/CD experience: Git workflows and automated deployments using tools such as Jenkins, Azure DevOps, or GitHub Actions
• Leverage open-source monitoring tools (e.g., Prometheus, Grafana) for performance and health checks
• Excellent verbal and written communication skills for collaboration and documentation

Do you possess these Bonus Skills:

• Experience with Apache Iceberg on object storage (S3) and engines like Spark/Trino.
• Exposure to multiple database platforms such as PostgreSQL, Snowflake, Amazon Redshift, MongoDB, Cassandra, etc.
• Exposure to distributed data platforms (Kafka)
• Familiarity with enterprise infrastructure (storage, networking, compute), Linux administration (Red Hat) and Windows Server.
• Exposure to Kubernetes

Benefits & Compensation Information:

Our team is our most important asset and investment. We value and respect our colleagues and their well-being inside and outside the workplace and our culture reflects this. We offer a robust and competitive benefits program to ensure the well-being of our colleagues.

Some benefits included in this role are:

• Training and development opportunities
• Robust Wellness Resources: Physical, Mental and Financial
• Time-Off, Retirement and Commuter Benefits
• Gym Reimbursement and other Discounts

The applicable base salary range for this role is $145,000-$175,000 USD. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives.

In addition to base compensation, this role is eligible for an annual incentive plan. To learn even more about being part of the team, visit us online: Careers - Capstone (capstoneco.com)

Don’t forget to follow us on LinkedIn

Capstone’s Commitment

At Capstone, we value a diverse, equitable, and inclusive workplace where all employees feel appreciated and respected. Our commitment to a nondiscriminatory approach extends equal opportunities for employment and advancement across our programs, departments, and locations. We actively seek and appreciate a variety of life experiences and heritages and advocate for the amplification of all voices. At Capstone, we're all about creating a workplace where you can thrive and make a real impact. We value innovation, teamwork, trust, and discipline, and we know you do too.

Experimentation: We love fresh ideas and encourage you to try new things. Here, you’ll have the freedom to innovate and help shape our strategies.

Collaboration: We’re big on teamwork. You'll join a supportive community where everyone’s input matters, and we learn from each other every day.

Trust: We believe in building strong, honest relationships. You'll be part of an environment where your contributions are respected and integrity is key.

Discipline: In our fast-paced world, staying focused is crucial. We commit to high standards and a disciplined approach, helping you grow both personally and professionally.

Be part of a team that values your creativity and dedication. Together, let's push boundaries and achieve great things.

Equal Opportunity Employer
Capstone is committed to creating an inclusive environment where we welcome people of different backgrounds. Capstone considers applications for employment without regard to all applicable protected characteristics, including race, color, religion, ethnicity, national origin, gender, sexual orientation, gender identity or expression, age, parental status, veteran status, or disability status.

About the Role

BrainPOP is building an AI-first go-to-market engine — and the Lead GTM Engineer is the role that makes it run. This is not a traditional CRM admin or developer position. You will own the technical architecture and strategic direction of our entire GTM stack: designing the data flows, integration logic, enrichment workflows, and automation that connect our signals to our pipeline to our revenue.

You will work at the intersection of Revenue Operations, data strategy, and GTM execution — reporting directly to the VP of Revenue Operations and partnering daily with Sales, Marketing, Customer Success, Finance  and our Data Analytics team. You will make architectural decisions that have long-term consequences for how this organization scales, and you'll use AI-powered development tools alongside a small-but-mighty SFDC admin team to execute on those decisions.

This is an individual contributor player/coach, builder-thinker role. The ideal candidate has a clear strategic vision for what a modern GTM stack should do, the judgment to sequence it correctly, and the learn-it-all mentality to go deep on any tool or integration that stands between the design and the outcome.

This role will be based in our NYC HQ or remote in one of our approved hiring states (see details below). Eastern time zone is preferred, or flexibility to align to Eastern time zone generally. Travel to NYC HQ is expected once per quarter.

In This Role You will

GTM stack architecture and strategy

• Design and own the integration architecture across our GTM stack: Salesforce (Sales, Marketing, and Service Cloud), Celigio iPaaS, Tableau, Gong, Starbridge.ai, HockeyStack, NetSuite, Mandrill, Appcues, and net-new tools as we evaluate and add them
• Lead the consolidation of existing revenue technology tools, eliminating redundancies where they exist and ensuring seamless data flow across the stack
• Make build-vs-buy decisions with clear reasoning — evaluate new tool additions against integration complexity, data hygiene risk, and existing stack overlap before committing
• Own the integration map: a living document any team member can read and understand
• Manage the technical components of the RevOps roadmap and the Salesforce development roadmap, prioritizing initiatives based on business impact and technical feasibility
• Partner with our SFDC consultancy firm and leverage AI coding tools (Claude Code, Cursor, or equivalent) to implement the integrations and automations you design
• Manage external vendors, consultants, and implementation partners where needed
• Design, develop, and implement scalable Salesforce solutions that support the strategic goals of our GTM teams — including custom objects, flows, Apex classes, and field-level data model design
• Own the full project implementation lifecycle from requirements gathering and solution design through build, QA, UAT coordination, and go-live
• Translate complex business requirements from Sales, Marketing, CS, and Support into clear technical specifications and project plans
• Stay current with Salesforce releases and industry best practices; recommend and implement new features as appropriate
• Ensure data integrity and security across the Salesforce ecosystem

Automation and workflow logic

• Design SF Flow automations that translate data signals into rep and CSM actions — score drops, renewal countdowns, engagement gaps
• Own Gong Engage sequence infrastructure
• Improve on and maintain product-triggered email logic in coordination with product and CS teams
• Identify and implement automation opportunities that improve overall GTM efficiency

Signal-to-pipeline motion

• Partner with our Data Analytics team to design a customer health score model in Tableau;  connect scores SF Flow and Gong playbook triggers to initiate workflows
• Design and maintain additional enrichment pipelines - fed by Starbridge ICP signals - and lead the build out of GTM playbooks that turn data into action
• Ensure HockeyStack attribution model captures full-funnel touchpoints from first signal through closed-won and renewal

You Are

• You think in systems before you think in tools — you can sketch a data flow on a whiteboard before you've decided which tool executes it
• You're a genuine learn-it-all: when a new tool enters the stack, you go deep fast — documentation, community, hands-on experimentation — and you don't wait for someone to train you
• You hold ambiguity well: the stack we're building doesn't have a fully drawn blueprint, and you'll be making architectural decisions with long-term consequences
• You document as you build — undocumented integrations are technical debt, and you treat them that way
• You can translate between architecture and business outcomes, and you're comfortable presenting to non-technical stakeholders
• You push back when a tool purchase would create more integration complexity than value — and you can make that case with data, not just intuition
• You're energized by working alongside AI tools to go faster, not threatened by what they can do
• You understand sales teams and speak their language — you build trust by offering solutions that address real challenges, not just technically elegant ones
• Treat Salesforce data quality as standing infrastructure, not a project — own the hygiene standards and the audit cadence

On Your Resume

• 6+ years in revenue technology, GTM operations, or a related technical business operations role — with demonstrated ownership of GTM systems architecture, not just administration
• Deep Salesforce fluency: custom objects, flows, Apex classes, field-level data model design, and an intuition for what the CRM data model should look like to support the business — not just report building
• Deep expertise in Salesforce Sales Cloud, Service Cloud, and Marketing Cloud; experience with Salesforce CPQ preferred
• Solid understanding of Salesforce integration patterns and experience with APIs and integration tooling
• Clear strategic thinking about GTM data flows: when presented with a business problem, your first instinct is to map where the data lives, where it needs to go, and what stands in the way
• Strong working knowledge of iPaaS tools (Celigio, Workato, Boomi, n8n, or equivalent) — you've designed integrations even if you haven't always written every line of implementation code yourself
• SQL proficiency sufficient to validate data, audit pipeline quality, and design logic for health score calculations; familiarity with Python or JavaScript a strong plus
• Comfort with AI-powered development tools (Claude Code, Cursor, GitHub Copilot, or equivalent) — you use these to accelerate implementation 
• Excellent project management skills with the ability to manage multiple priorities and stakeholders simultaneously
• Exceptional communication skills — you can translate between architecture and business outcomes and present your work clearly to VP and C-suite stakeholders

Strong plus

• Familiarity with Gong (especially Engage and Forecast), Starbridge.ai, HockeyStack, or Clay — or strong analogues in conversation intelligence, intent signal capture, attribution, and AI enrichment
• Experience designing customer health score architecture — composite models, weighted inputs, tiered outputs, and the renewal playbook logic that consumes them
• Background in edtech, K-12, or public sector SaaS — district procurement cycles, PO-based purchasing, and multi-stakeholder buying motions are a meaningful context advantage
• Experience working alongside data engineering or analytics teams to operationalize BI-calculated metrics into CRM systems (reverse ETL patterns, Celigio/Census writebacks)
• Familiarity with dbt or similar data transformation tooling
• Salesforce Administrator and/or Developer certifications
• Experience managing external vendors, consultants, and implementation partners

Location

The BrainPOP team operates in a hybrid work environment: Each role has remote flexibility and an in-person component at our New York headquarters or other meeting locations. Based on the requirements of a specific role, we may prioritize hiring within a commutable distance of our New York headquarters or in another region relevant to that role.

We can employ individuals residing in the following approved hiring states. States not listed below may be considered based on factors including the needs of the specific role.

• Arizona
• California
• Connecticut
• Florida
• Georgia
• Illinois 
• Massachusetts
• Minnestoa
• Missouri
• New Jersey
• New York
• North Carolina
• Ohio
• Oregon
• Pennsylvania
• Tennessee
• Texas
• Washington

#LI-Remote

Location: (On-site / Hybrid / Remote – NY, Bay Area, Chicago, Greenville)
Architect and scale security-first engineering across multi-cloud infrastructure.

Role Overview

At MrBeast, we operate at massive scale across content, commerce, fintech, philanthropy, and global digital platforms. Security is not an afterthought. It is a foundational capability.

We are looking for a Senior DevSecOps Engineer to architect and scale a security-first engineering culture across our cloud infrastructure and CI/CD pipelines. You will embed security directly into development workflows, automate detection and response at scale, and harden our AWS and GCP environments against evolving threats.

You will partner deeply with Engineering, IT, and Compliance to ensure our systems remain resilient as we grow.

The Role

This is not a reactive security role. It is a builder role.

You will own the integration of security into our cloud environments and software delivery lifecycle. You will design security guardrails, embed enforcement into infrastructure and pipelines, build scalable detection systems, and automate incident response. You will operate at the intersection of DevOps, Security, and Automation while influencing engineering standards across the company.

What You’ll Do

• Design and implement cloud security guardrails across AWS and GCP

• Embed policy enforcement and compliance checks directly into Terraform modules

• Conduct architecture reviews and continuously harden multi-cloud environments

• Lead threat modeling efforts for new infrastructure and product initiatives

• Lead secrets management strategy across Vault, AWS Secrets Manager, and GCP Secret Manager

• Integrate SAST, DAST, and dependency scanning into GitHub Actions workflows

• Lead secure code review initiatives and drive secure-by-design engineering practices

• Partner with engineering teams to eliminate vulnerabilities before production

• Design, build, and tune high-fidelity detection logic within SIEM platforms

• Map detections to MITRE ATT&CK and relevant threat models

• Improve signal-to-noise ratio through advanced alert tuning and correlation logic

• Develop log aggregation and monitoring strategies across application and infrastructure layers

• Conduct detection coverage gap analysis

• Build and maintain SOAR playbooks to automate repeatable response workflows

• Reduce mean time to detect (MTTD) and mean time to respond (MTTR)

• Continuously improve response playbooks through post-incident analysis

• Automate evidence collection for audits and regulatory requirements

• Translate security controls into technical enforcement mechanisms

• Help scale compliance programs without adding operational overhead

What You’ll Bring

• 5+ years of experience in DevSecOps, Cloud Security, or Security Engineering roles

• Deep experience securing AWS and GCP environments

• Advanced Terraform expertise including infrastructure as code, reusable modules, and policy-as-code

• Strong Python proficiency for automation, API integrations, and custom tooling

• Hands-on experience with SIEM and SOAR platforms including detection engineering and integration

• Deep familiarity with CI/CD security best practices and GitHub Actions

• Experience designing and managing identity architectures including Okta, Azure AD, or similar platforms, covering SSO, SCIM, lifecycle automation, and conditional access

• Familiarity with Elastic SIEM or modern log aggregation platforms

• Experience with EDR/XDR platforms such as SentinelOne, CrowdStrike, or Defender, including policy tuning and telemetry integration

• Experience managing endpoint security controls and MDM solutions such as Jamf or Intune

• Experience securing Google Workspace environments

Why MrBeast

You will own security architecture across multiple cloud environments. You will influence engineering standards across the company. You will not be reviewing tickets. You will be building scalable systems that embed security into how we operate at scale.

This role is built for someone who thrives on ownership, automates everything possible, and wants to design modern security infrastructure from the ground up.

Department

Platform Engineering

Who You Are

You are a tooling-focused engineer who obsesses over developer productivity. You’ve built and maintained CI/CD pipelines, developer tooling, and automation that makes engineering teams faster. You understand that the best developer tools disappear into the background - they just work. You’re equally comfortable debugging a flaky GitHub Actions workflow and designing a new internal CLI. You care deeply about reducing friction and cognitive load for your fellow engineers.

This is a foundational role. You’ll be one of the first dedicated engineers on a platform organization supporting 300+ engineers. You’ll shape not just the technical foundations but the culture and practices of the team.

Your Success Profile

What You Will Work On

• Own and evolve CI/CD infrastructure (GitHub Actions, deployment pipelines) to improve build times and deployment frequency
• Build and maintain our developer portal (Backstage) - service catalog, golden path templates, and TechDocs integration
• Create golden path templates for Go, Rails, and Vue.js services that bake in best practices automatically
• Build and maintain internal developer tooling that accelerates engineering workflows
• Configure and roll out AI-assisted coding tools (Claude Code, GitHub Copilot) with organizational guardrails
• Create self-service capabilities that enable teams to ship independently - from “I need a new service” to running in staging in under 4 hours
• Drive adoption of platform capabilities through excellent documentation and developer education
• Work with our SRE team to instrument and measure developer experience metrics (build times, deploy frequency, MTTR) to identify improvement opportunities
• Implement security and compliance automation that protects without slowing teams down

How You Will Do Your Work

As a Senior Developer Experience Engineer, how results are achieved is paramount for your success and ultimately results in our success as an organization. In this role, your foundational knowledge, skills, abilities and personal attributes are anchored in the following:

Good judgment - the exercise of critical thinking, analyzing and assessing problems and implications, identifying patterns, making connections of underlying issues, understanding risks and developing mitigation strategies, and taking ownership of the outcome.

Resourcefulness - taking a can-do approach, even in the face of obstacles and constraints by assessing what’s in front of you and effectively and efficiently optimizing what you have, whether it’s working on something new or thinking about how to do something better.

Teamwork and communication - putting our collective best together through documentation, collaboration, relationship-building, listening, empathy, recruiting, and evangelism.

Influence and leadership - fostering a community of knowledge-sharing, collaboration, mentorship, and forward-thinking.

Skills and knowledge - the capacity to actively learn and apply specific domain knowledge, know-how, and best practices to continually enhance and improve.

In addition, all team members focus on aligning their behaviors to our core values known as COGIS:

• Camaraderie - Day to day you can be seen working together toward a higher purpose. You like to have fun. You’re an active listener, treat people respectfully, and have a strong desire to know and help others.
• Openness - Your default is to be open. You’re willing to share information, understand other perspectives, and consider new possibilities. You’re curious, ask open questions, and are receptive to thoughts and feedback from others.
• Grit - You demonstrate grit by having the courage to commit and persevere. You’re committed, earnest, and dive in to get the job done well with a positive attitude.
• Integrity - Simply put, do what you say and say what you’ll do. You’re honest and forthright, have a strong moral compass, and strive to match your words with your actions while leading by example.
• Simplicity - Be like Einstein: “Everything should be made as simple as possible, but no simpler.”

Qualifications

• 5+ years of professional software engineering experience
• 3+ years of experience building developer tooling, CI/CD systems, or infrastructure automation
• Hands-on experience with CI/CD platforms (GitHub Actions strongly preferred)
• Experience with developer portals or internal platform tooling (Backstage strongly preferred; Cortex, Port, or similar also valuable)
• Experience with Kubernetes deployments and container orchestration
• Proficiency in at least two programming languages; polyglot mindset valued
• Frontend development skills - you’ll be building portal UI and developer-facing tools
• Strong systems thinking and ability to design for scale and reliability
• Excellent written communication - you document as you build

Nice to Have

• Experience with Infrastructure as Code (Terraform, CDK, or similar)
• Experience with feature management systems (LaunchDarkly, Split, etc.)
• Familiarity with workflow engines (Temporal, etc.)
• Background in developer productivity metrics and measurement
• Experience configuring or rolling out AI coding assistants (Copilot, Claude Code, Cursor)

Technologies

• CI/CD: GitHub Actions, CircleCI
• Infrastructure: Terraform, AWS, Kubernetes, Docker
• Languages: Go (primary), Python, TypeScript, Ruby - whatever fits the problem
• Platforms: Developer portals, feature flagging systems, workflow engines
• Observability: DataDog, CloudWatch

The base wage range for this position based in our New York City Office is targeted at $167,500.00 - $211,500.00 per year.

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