Recorded Future is seeking a Principal Software Engineer to join our Engineering team, responsible for building and scaling the pipelines that power the Security Intelligence Graph. As a Principal Software Engineer, you will work across application code and infrastructure to collect, transform, and deliver structured threat data: tracking malware infrastructure, phishing campaigns, spam networks, command-and-control systems, and more. You will play a key role in driving architectural improvements and ensuring the platform scales effectively as it continues to grow.

What You'll Do:

• Data Pipeline Ownership: Design, build, and maintain scalable data pipelines that collect, transform, and deliver structured threat intelligence data powering the Security Intelligence Graph.
• Architecture & Scalability: Drive meaningful architectural improvements across data and platform systems to ensure long-term scalability, reliability, and performance.
• Full-Stack Engineering: Work across both application code and infrastructure, contributing to backend services, data systems, and platform capabilities.
• Data Processing & Analysis: Apply statistical techniques to large-scale datasets to generate accurate and impactful insights.
• Reliability & Observability: Ensure production-grade pipeline reliability through strong observability, error handling, and failure recovery practices.
• Infrastructure & Deployment: Build and maintain CI/CD pipelines and contribute to infrastructure-as-code practices to support efficient and repeatable deployments.
• Cross-Team Collaboration: Communicate technical concepts clearly and collaborate effectively across teams, geographies, and varying levels of technical expertise.
• Technical Leadership: Engage with technical leaders across teams and contribute to raising the engineering bar through knowledge sharing and best practices.

What You'll Bring:

• At least 5 years of experience in data engineering, backend engineering, or platform engineering.
• Strong proficiency in Python, with experience in Go or Rust considered a plus.
• Experience working with cloud infrastructure, including compute, storage, networking, and IAM fundamentals.
• Hands-on experience with message queues and pub/sub systems such as Kafka or RabbitMQ.
• Experience with SQL databases such as Postgres or AWS RDS, and NoSQL databases such as MongoDB or Elasticsearch.
• Familiarity with data lake storage frameworks such as Delta Lake and graph databases such as AWS Neptune or Neo4j.
• Experience developing REST APIs using frameworks such as Flask, Django, or FastAPI.
• Proven experience architecting and delivering production-grade applications and ETL/ELT pipelines.
• Strong understanding of building reliable data pipelines, including observability, error handling, and failure recovery.
• Experience building and maintaining CI/CD pipelines; GitHub Actions experience is a plus.
• Familiarity with infrastructure-as-code tools; Terraform experience is a plus.
• Comfort working with high-volume, complex, and unstructured data.
• Strong problem-solving skills, including the ability to debug both software and data issues.
• Excellent attention to detail and ability to work independently while delivering high-quality results.
• Interest in or familiarity with security data domains such as threat infrastructure, malware, or network telemetry.
• Bachelor’s and/or Master’s degree in Computer Science, Mathematics, Statistics, Engineering, or equivalent experience.

Preferred Qualifications:

• Experience or interest in cybersecurity data domains such as malware analysis, phishing detection, or network telemetry.
• Experience working with graph-based data systems or security intelligence platforms.

The base salary range for this full-time position is $152,000-$228,500. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.

#LI-Remote

Team Overview

The Security Applications & Tools (SAT) team within Lattice Platform Security builds custom software systems that detect, manage, and remediate vulnerabilities across Anduril's product ecosystem at scale. We don't just deploy scanners — we design and build distributed scanning infrastructure, policy enforcement engines, and vulnerability management platforms from the ground up. Our stack includes event-driven architectures on AWS, custom Go services, policy-as-code systems, and integrations that span CI pipelines to production environments.

Job Description

We're looking for a senior software engineer to design and build the systems that keep Anduril's software secure. This is a software engineering role first — you'll architect distributed systems, write production Go and Python, build APIs, and operate services at scale. The domain is security, but the work is building real software: custom scanning orchestration pipelines, policy engines that evaluate thousands of configurations against security rules, and data systems that track vulnerabilities across an entire product ecosystem. If you want to write code that solves hard engineering problems in the security space rather than configure off-the-shelf tools, this is the role.

Key Responsibilities

• Design and build distributed services for vulnerability scanning, policy enforcement, and remediation workflows
• Develop and extend the team's scanning orchestration platform — an event-driven architecture built on AWS (SQS, Lambda, S3, ECR) that processes scan events at org-wide scale
• Build and maintain policy-as-code systems that programmatically enforce security policy in CI/CD pipelines and deployment configurations
• Design APIs and CLIs that integrate security tooling into developer workflows without creating friction
• Develop data pipelines that aggregate, normalize, and route findings from multiple scanning engines into vulnerability management systems
• Collaborate with engineering teams across Anduril to understand their security needs and build tooling that addresses them
• Evaluate third-party security tools and build custom integrations or replacements where needed
• Participate in on-call rotation for security tooling infrastructure

Required Qualifications

• 5+ years of experience designing and developing production software systems
• Strong proficiency in Go — this is the team's primary language for backend services
• Experience building distributed systems or data pipelines (event-driven architectures, message queues, APIs, worker systems)
• Proficiency with Python for scripting, automation, and tooling
• Experience with cloud infrastructure (AWS preferred: Lambda, SQS, S3, ECR, or equivalent)
• Ability to read and understand security tool output (vulnerability reports, SBOMs, static analysis results) and build systems around it
• Strong communication skills with the ability to work across teams
• Eligible to obtain and maintain active U.S. Secret security clearance

Preferred Qualifications

• Experience with CI/CD systems (CircleCI, GitHub Actions) and building integrations for developer workflows
• Familiarity with container security concepts, SBOM generation tools (Syft), and vulnerability scanners (Trivy, Grype, Semgrep)
• Experience with Terraform and infrastructure-as-code
• Experience with policy-as-code frameworks (OPA/Rego, Conftest)
• Background in application security or product security engineering
• Experience with Kubernetes and container orchestration
• Familiarity with Nix build systems

In this role, you will lead the development of a comprehensive High Temperature Operating Life (HTOL) Test Software system. Your work will involve designing, implementing, and maintaining a scalable multi-chassis testing platform that performs automated stress and performance testing with real-time monitoring and comprehensive data collection capabilities.

Responsibilities

• System Design & Development: Architect, build, and maintain scalable architecture for a multi-chassis HTOL testing system.
• Orchestration: Develop containerized applications for deployment at scale using Python-based services for chassis coordination and management.
• Hardware Monitoring & Management: Create hardware abstraction layers and develop APIs that represent hardware systems, providing essential capabilities for monitoring and management of those systems.
• Manage Data: Develop data collection pipelines handling sensor data and performance metrics.
• Deploy and Update Software: Create automated deployment and testing pipelines using CI/CD best practices.
• Collaboration with Front-End Teams: Work closely with the frontend team to ensure seamless integration of backend APIs with applications.
• Testing & Documentation: Write automated tests to monitor the reliability and performance of the system; maintain clear and concise documentation for troubleshooting.
• Performance and Reliability: Continuously monitor and optimize performance to reduce response times and improve system scalability; ensure uptime in production environments; establish capacity planning procedures.

Required Skills

• BS and 12+ years of experience or MS and 8+ years of experience; degree in Computer Science, Electrical Engineering, or related field.
• Expert level Python, knowledge of web frameworks such as FastAPI, Flask, Django; strong understanding of API design principles and best practices.
• Experience with containerization and orchestration technologies such as Docker and Docker Compose.
• Experience with one or more databases such as MongoDB, PostgreSQL, Redis, time-series databases.
• Familiarity with testing frameworks such as pytest and integration testing, performance testing tools.
• Experience with CI/CD tools such as GitHub Actions/Runners and Infrastructure as Code tools such as Ansible.
• Experience with hardware integration or embedded systems; interfacing with BMCs, FPGAs, temperature sensors, thermal management, power management systems.

Nice-to-have skills

• Familiarity with real-time data handling and communication protocols, such as gRPC, TCP/IP, WebSockets, message brokers or similar technologies.
• Experience with high-availability, mission-critical systems.
• Experience in the Semiconductor Industry: HTOL, wafer-level testing, burn-in systems, reliability testing.
• Professional Certifications: Agile/Scrum certifications.
• Experience building backend services for web applications like Next.js, proficiency in JavaScript/TypeScript.

We are looking for a Staff Security Software Engineer who is passionate about detecting and mitigating abuse in the Cloud. 

As a Staff Security Software Engineer at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. This role reports to the Senior Manager of Security Engineering within the Security organization. You should have experience developing and maintaining software systems in a complex, high-scale environment, analyzing outcomes and communicating insights to stakeholders, and rapidly devising solutions that are in alignment with overall business goals. Our team is focused on enabling DigitalOcean to scale safely by building systems that detect and prevent abuse on our platform. We highly value collaboration and growth, and work closely with other teams in the Security organization to deliver high quality solutions and also build tooling to boost their efficiency.

Our customers trust us with their data and operations, and we take that responsibility seriously. Security at DO means solving highly complex problems on a large scale that have real impact for our customers, our products, and for the larger internet community.

What You’ll Do:

• Design, develop, and deploy resilient services and tooling that provide security capabilities at scale, primarily in Go, with some work in Javascript and Python.
• Research and design automated approaches to detecting and actioning abuse and misuse of DigitalOcean products and services.
• Work with product and engineering teams to design and implement secure architectures.
• Design and build internal tools that enable our Security Operations Center to do more, faster.
• Measure the efficacy of our services and tools, using logs, metrics, and audit records, to drive reporting and decision-making, leading to iterative and transformative security improvements as DigitalOcean scales. All while being mindful that security should be an efficiency enabler for the business, not an obstacle.

What You’ll Add to DigitalOcean:

• 8+ years of hands-on experience in software engineering projects, ideally with a security focus, in a complex, high-scale SaaS or IaaS environment. You are an expert in writing robust code with good test coverage and demonstrated success in delivering projects.
• Understanding of cloud-native services and infrastructure provisioning (e.g. compute, storage, networking).
• Deep familiarity with cloud services & infrastructure—compute, storage, network, managed services—and related abuse tactics, including DDoS, spamming, phishing, cryptomining, and bot networks.
• Strong analytical and reporting skills, with proficiency in SQL and data warehouse querying (e.g., Snowflake, Redshift, BigQuery)
• A customer-first mindset—you aim to maximize abuse prevention while avoiding false-positives that could impact high-value customers.
• Excellent communication and documentation skills; you can clearly articulate patterns, mitigation strategies, and tradeoffs to both technical and non-technical stakeholders. You have a record of partnering with internal engineering teams and non-technical stakeholders to gather requirements and tackle security problems across an entire stack with empathy and creativity.
• High integrity, strong judgment, and a track record of working independently on high-impact investigations and policy decisions.

Bonus qualifications:

• Experience with microservice architectures, asynchronous and event-driven processing, and synchronous gRPC/HTTP-based requests.
• Experience in building secure by default services and applications.
• Familiarity with technologies such as gRPC, Docker, Elasticsearch, Prometheus/VictoriaMetrics, Kubernetes, and GitHub Actions.
• Experience with Looker, Snowflake, dbt, and Airflow

Compensation Range: 

• $166,400 - $208,000

*This is a remote role

#LI-Remote

We want people who care about empowering their peers to understand their services.

Observability Platforms is focused on creating visibility into DigitalOcean’s services and infrastructure. We design, build, and operate the internal logging, metrics, distributed tracing, error reporting, monitoring, and alerting platforms that are depended on to ensure good, reliable experiences for DigitalOcean’s customers. Through a mix of open source services and in-house developed software we seek to continuously improve the ability of DigitalOcean engineers and product managers to understand the behavior of their products and services in order to improve the experiences of our customers. 

What You'll Be Doing:

• Integrating and operating open source distributed data systems such as OpenSearch, VictoriaMetrics, Kafka, and Clickhouse
• Implementing features to both improve the operability of our services and help design and implement the next generations of metrics and logging at DigitalOcean.
• Guiding other engineers on how they can best utilize our systems to gain confidence that their services are performing as expected.

What We'll Expect From You:

• Experience running and using distributed databases such as Opensearch, VictoriaMetrics, Clickhouse
• Experience with Kubernetes not just as an end user, but also an operator
• Experience writing software in Golang. Experience with the challenges of concurrency and distributed systems is a plus.
• Experience with DevOps tooling such as Terraform, Ansible, and Github Actions (or other relevant CI/CD experience).
• An ability to work well as part of a geographically distributed team.
• Participation in a 24/7 on call rotation
• Someone who is motivated to learn, teach, grow, explore, and seek out areas we can improve
• Strong communication and customer service skills - we provide support to the internal users of the systems we design, build, and operate. 

Compensation Range: 

• $139,000 - $174,000

*This is a remote role

JR: 2026-7494

#LI-Remote

Role overview

As the Technical Product Manager (TPM) for the Pipelines & Automation (PnA) team within Engineering Platform, you will own the CI/CD pipeline platform, software quality tooling, and test automation frameworks that enable all of CarGurus engineering to deliver code faster and with higher confidence.

You will create vision, drive requirements and the roadmap, and support the team by propelling critical initiatives that will fuel our ability to innovate, move quickly, and stay ahead of the competition while embracing and utilizing AI capabilities. That includes our CI modernization (continuing the onboarding of a SaaS CI platform), continued expansion of our Continuous Deployment (CD) pipeline, contract testing, quality gates and frameworks, and the integration of AI-augmented testing and pipeline capabilities.

You will be part of a team of technical product managers who collaborate closely with internal stakeholders to deliver products and systems that directly impact the success of the entire engineering organization.

What you'll do

• Build a strong partnership with the Engineering Platform team — and specifically the Pipelines & Automation squad — to support their service-oriented position within the organization.
• Gain a deep understanding of our CI/CD platform, quality frameworks, pipeline capabilities, and the unique challenges we face as a rapidly growing company.
• Co-own the team's vision and roadmap; generate buy-in and facilitate cross-functional collaboration with a wide range of technical stakeholders across Product Engineering, Data Engineering, Data Science, and other platform teams.
• Complete the CI modernization initiative — design for remaining teams, migration planning, and rollout to engineering teams.
• Champion continued adoption and maturation of our CD pipeline (TTMA), including progressive delivery patterns such as canary analysis and automated rollbacks.
• Own the product direction for quality gates, test automation frameworks, contract testing, and quality metrics collection that are embedded within the pipeline.
• Ensure that prioritization of work aligns with high-level strategies and business objectives.
• Identify opportunities to leverage AI and agentic workflows to improve pipeline reliability, test generation, and developer feedback loops.
• Maintain high levels of engagement with stakeholders through various forms of written and verbal communication, including roadmaps, project plans, status reports, and executive presentations.
• Advocate for adoption of frameworks, tooling, and pipeline capabilities being built out by the centralized platform team.

What you'll bring

• 5+ years of product management experience, including working with engineering teams. Prior engineering background is a plus.
• Familiarity with CI/CD platforms and tooling — experience driving requirements and management of systems such as GitHub Actions, CircleCI, Concourse, Jenkins, or similar. Understanding of pipeline-as-code, declarative pipeline configuration, and progressive delivery patterns (canary, blue-green).
• An understanding of software quality automation best practices, industry standards, and tooling — including quality gates, test automation frameworks, and contract testing.
• Experience gathering requirements from internal engineering customers while filtering into strategic direction.
• Strong judgment to prioritize various incoming and generated requirements based on value-add to the organization.
• A passion for improving the developer experience through reliable, fast, and transparent build and delivery processes.
• An enthusiasm for utilizing AI tools to accelerate your work as well as how AI can enable and accelerate engineering.
• Strong team player with high emotional intelligence and the ability to bring people together across varying personality types and work styles.
• Tenacious self-starter with the ability to work independently, particularly in a highly cross-functional or matrixed environment.
• Excellent written and verbal communication skills.
• The ability to research and propose new tooling to be introduced that will help improve software quality and pipeline reliability.
• The capability to influence quality and delivery transformations by working closely with critical stakeholders.

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

About SimpliSafe

We’re a high-tech home security company that’s passionate about protecting the life you’ve built and our mission of keeping Every Home Secure. And we’ve created a culture here that cares just as deeply about the career you’re building. Ours is a no ego culture of collaboration and innovation where those seeking their next challenge can find big opportunities and make a huge impact on the lives of all those who we protect. We don’t just want you to work here. We want you to grow and thrive here.

We’re embracing a hybrid work model that enables our teams to split their time between office and home. Hybrid for us means we expect our teams to come together in our state-of-the-art office on two core days, typically Tuesday, Wednesday, or Thursday – working together in person and choosing where they work for the remainder of the week. We all benefit from flexibility and get to use the best of both worlds to get our work done.

Why are we hiring?

Well, we’re growing and thriving. So, we need smart, talented, and humble people who share our values to join us as we disrupt the home security space and relentlessly pursue our mission of keeping Every Home Secure.

What You’ll Do

• Build and evolve hardware-in-the-loop (HIL) test automation infrastructure to provide rapid, production-like feedback on firmware and system behavior
• Develop and maintain validation frameworks, test harnesses, and environments tailored for embedded and distributed systems
• Create and maintain build and automation pipelines for firmware, including packaging, testing, and deployment workflows
• Use Infrastructure as Code (IaC) to provision and manage scalable development and validation environments
• Implement monitoring and logging to track validation system health, performance, and reliability
• Conduct early reviews of product requirements, specifications, and designs to shift validation left and identify issues before implementation
• Troubleshoot and resolve validation, build, and deployment issues to ensure high system availability and fast feedback cycles

What You’ll Bring

Required

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• 5+ years of experience in software development, system validation, or automated testing for distributed or embedded systems
• Strong programming skills in Python (PyTest or similar frameworks) with solid object-oriented design principles
• Experience designing and implementing automation frameworks or system-level validation across distributed or embedded systems
• Experience with CI/CD systems (e.g., Jenkins, GitHub Actions) and build pipelines for complex systems
• Strong debugging and problem-solving skills across system layers (firmware, services, APIs, infrastructure)
• Ability to work independently and collaboratively in cross-functional environments, with strong communication skills

Strongly Preferred

• Experience with hardware-in-the-loop (HIL) testing, device simulation, or embedded/IoT systems
• Experience with build tools and dependency management (e.g., CMake, Conan)
• Familiarity with containerization and orchestration (Docker, Kubernetes)
• Experience with networking and wireless protocols (TCP/IP, WiFi, Bluetooth, LTE)
• Experience implementing monitoring, logging, and observability in validation or CI systems
• Experience working in Agile/Scrum environments and driving improvements in engineering workflows

What Values You’ll Share

• Customer Obsessed - Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them.
• Aim High - Always challenging ourselves and others to raise the bar.
• No Ego - Maintaining a “no job too small” attitude, and an open, inclusive and humble style.
• One Team - Taking a highly collaborative approach to achieving success.
• Lift As We Climb - Investing in developing others and helping others around us succeed.
• Lean & Nimble - Working with agility and efficiency to experiment in an often ambiguous environment.

What We Offer

• A mission- and values-driven culture and a safe, inclusive environment where you can build, grow and thrive  
• A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families (For more information on our total rewards please click here)
• Free SimpliSafe system and professional monitoring for your home. 
• Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change.

The target annual base pay range for this role is $118,100 to $173,300

This target annual base pay range represents our good-faith estimate of what we expect to pay for this role. We use a market-based compensation approach to set our target annual base pay ranges and make adjustments annually. We carefully tailor individual compensation packages, including base pay, taking into consideration employees’ job-related skills, experience, qualifications, work location, and other relevant business factors. 

Beyond base pay, we offer a Total Rewards package that may include participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits. More details can be found here.

We’re committed to fair and equitable pay practices, as well as pay transparency. We regularly review our programs to ensure they remain competitive and aligned with our values.

We wholeheartedly embrace and actively seek applications from all individuals, no matter how they identify. We are committed to cultivating a diverse and inclusive workplace, and we believe our work is enriched when we incorporate a multitude of perspectives, backgrounds, and experiences. We want everyone who works here to thrive and contribute to not only our mission of keeping every home secure, but also to making our workplace safe and supportive for others. If a reasonable accommodation may be needed to fully participate in the job application or interview process, to perform the essential functions of a position, or to receive other benefits and privileges of employment, please contact careers@simplisafe.com.

Job Title: Software Engineer
Locations: Houston, TX; Boston, MA  
Reports to: Manager, Software Engineering 

 A quick snapshot…
We are seeking a talented and motivated Software Engineer to join our engineering team and contribute to the development of next-generation AI and Generative AI–powered products and solutions. In this role, you will work on cutting-edge SaaS technologies and help build scalable software used by enterprises worldwide. You will contribute to the design, development, testing, deployment, and maintenance of software systems while collaborating with cross-functional teams to deliver reliable and innovative product capabilities.

Why it’s a big deal…  
As a Software Engineer, you will contribute to the development of Conga’s AI-powered platform by helping build scalable applications and services that support intelligent automation and advanced analytics for global customers. 

Here's what we’re looking for… 

Related Experience. 

Software Development. Write clean, maintainable, and efficient code for software applications and distributed systems while adhering to engineering best practices.

GenAI Product Development. Participate in the AI development lifecycle including data preparation, model experimentation, evaluation, and deployment of generative AI solutions.

Technical Contribution. Collaborate with engineering teams to develop and enhance software features that meet performance, scalability, and reliability requirements.

Feature Delivery. Work closely with product managers and engineering teams to deliver features and improvements on schedule while maintaining high quality standards.

Architectural Participation. Contribute to technical design discussions and architecture reviews to ensure solutions are scalable, reliable, and maintainable.

Code Review. Participate in peer code reviews and maintain a high standard of technical quality across the engineering team.

Testing & Quality. Develop testable software, write unit tests, and participate in automated testing processes using modern testing tools and frameworks.

Service Health & Reliability. Monitor service performance and assist in troubleshooting issues. Participate in root cause analysis and improvements to enhance system reliability.

DevOps Collaboration. Work within a DevOps model to help deploy, monitor, and maintain applications in production environments.

Documentation. Document features, enhancements, and fixes while contributing to knowledge sharing and internal documentation.

Education. A bachelor’s degree in engineering or equivalent. 

• Bachelor’s degree in Computer Science, Engineering, or related technical field (or equivalent practical experience)
• 4+ years of professional software development experience
• Strong proficiency in Python and modern Python frameworks
• Experience with FastAPI, PyTest, Celery, or similar technologies
• Familiarity with software development practices, version control systems such as GitHub, and work tracking tools such as JIRA
• Understanding of cloud technologies and DevOps principles

Here’s what will give you an edge… 

• Experience with object-oriented programming, concurrency, and REST APIs
• Familiarity with AI/ML, Generative AI, and MLOps concepts
• Experience with LangChain, LangGraph, or similar AI frameworks
• Experience working with SQL and NoSQL databases such as MongoDB, MSSQL, or PostgreSQL
• Experience with CI/CD pipelines and tools such as Terraform and GitHub Actions
• Experience with Docker and Kubernetes
• Familiarity with GCP technologies such as VertexAI, BigQuery, GKE, GCS, and DataFlow
• Experience with additional languages such as C#, Java, or Scala is a plus

#LI-BR1

Role: Senior Software Engineer 
Reports to: Sr. Manager, Software Engineering 
Location: Houston, TX; Boston, MA; 

A quick snapshot…
As a Senior Software Engineer at Conga, you will be a key contributor to the design, development, and deployment of advanced AI and generative AI-based products. You will drive technical innovation, lead complex projects, and collaborate closely with cross-functional teams to deliver high-quality, scalable, and maintainable solutions. This role requires a strong background in software development, AI/ML techniques, and DevOps practices, along with the ability to mentor junior engineers and contribute to strategic technical decisions.

Why it’s a big deal…
As a Senior Software Engineer, you will play a critical role in shaping the future of Conga’s AI-powered product portfolio. You’ll lead the development of scalable, production-grade solutions that bring generative AI capabilities to life, while influencing architecture, engineering best practices, and delivery execution. Your work will directly impact product innovation, platform reliability, and the ability of our teams to build intelligent, high-performing solutions at scale.

Are you the person we’re looking for?   

Related experience.

At least 6 years of professional software development experience, including significant experience building AI/ML or generative AI applications. Demonstrated success developing scalable, production-grade software solutions and leading complex technical initiatives from design through deployment.

Technical Expertise:

• Advanced proficiency in Python, FastAPI, PyTest, Celery, and other Python frameworks
• Deep understanding of software design patterns, object-oriented programming, and concurrency
• Strong experience with cloud technologies such as GCP, AWS, or Azure
• Experience with containerization and orchestration tools such as Docker and Kubernetes
• Familiarity with CI/CD practices, version control systems such as GitHub, and work tracking tools such as JIRA
• Knowledge of generative AI frameworks such as LangChain and LangGraph, along with MLOps and AI lifecycle management
• Experience deploying and monitoring AI models in cloud environments
• Bachelor’s degree in Computer Science, Engineering, or a related technical field; Master’s degree preferred

Education: A bachelor’s degree in Computer Science, Engineering or equivalent 

Here’s what will give you an edge… 

• Hands-on experience with advanced machine learning algorithms, including generative models, NLP, and transformers
• Knowledge of industry-standard AI frameworks such as TensorFlow and PyTorch
• Experience with data preprocessing, model evaluation, and AI model optimization
• Proficiency with relational and NoSQL databases such as MongoDB, MSSQL, and PostgreSQL
• Experience with analytics platforms such as BigQuery, Snowflake, or Tableau
• Familiarity with messaging systems such as Kafka
• Experience with test automation tools and CI/CD tooling, including Terraform and GitHub Actions
• Advanced knowledge of GCP technologies such as Vertex AI, BigQuery, GKE, GCS, and Dataflow, particularly for deploying AI models at scale 

Responsibilities:

• Design, develop, and optimize high-quality code for complex software applications and systems, maintaining high standards of performance, scalability, and maintainability
• Lead end-to-end development of generative AI solutions, from data collection and model training to deployment and optimization
• Experiment with cutting-edge generative AI techniques to enhance product capabilities and performance
• Take ownership of architecture and technical decisions for AI/ML projects
• Mentor junior engineers, review code for adherence to best practices, and promote technical excellence across the team
• Lead execution and delivery of features, managing project scope, timelines, and priorities in collaboration with product managers
• Proactively identify and mitigate risks to support successful, on-time delivery
• Contribute to architectural design and planning for new features, ensuring solutions are scalable, reliable, and maintainable
• Conduct rigorous code reviews and provide actionable feedback that supports team growth and software quality
• Design and implement robust test suites to ensure code quality and system reliability
• Advocate for test automation and CI/CD pipelines to streamline testing and maintain service health
• Monitor and maintain the health of deployed services using telemetry and performance indicators
• Perform root cause analysis for incidents and drive preventive measures to improve system reliability
• Operate in a DevOps model, taking end-to-end ownership of features and services in production
• Create and maintain thorough documentation for code, processes, and technical decisions
• Contribute to knowledge sharing and continuous improvement across the engineering organization

#LI-BR1

CarGurus is seeking a Senior DevOps Engineer to join our Cloud Infrastructure team. This team is responsible for providing a reliable, secure, and consumable AWS based platform for revenue-generating applications and the product engineering teams behind them.

In this role you will be a key owner of the cloud platforms that power our global automotive marketplace, and you will help build opinionated, self-service infrastructure that lets engineers ship fast, safely, and with confidence. We are looking for a resourceful, curious individual who is energized by the prospect of designing thoughtful, scalable platforms that are essential to engineers across the entire company.

Role overview

Our team is responsible for designing and operating the core cloud infrastructure at CarGurus. This includes managing domains such as governance, cost attribution, networking, serverless workloads, and OS configuration/orchestration. We also handle CarGurus' edge infrastructure (registrars, DNS, CDN) and maintain essential shared engineering systems like GitHub, Artifactory, and Rundeck, which are critical for how our engineers build, deploy, and operate services.

What you'll do

• Platform Development & Evolution: Design, build, and operate CarGurus' production infrastructure in collaboration with support and build/delivery platform teams. Evolve compute, storage, and data platforms on AWS (e.g., S3, EC2, EKS, ELB, Route53, IAM).
• Automation & Infrastructure-as-Code (IaC): Drive IaC and automation practices (Terraform, Chef, Git, GitHub Actions, Concourse) to ensure secure, repeatable lifecycle operations.
• Cloud Governance: Shape and implement cloud governance, tagging, and reporting standards to support resource attribution and ownership.
• Networking & Edge Operations: Design and operate cloud networking, data protection mechanisms, and edge access components (Fastly CDN, Route53, HAProxy, Datadome).
• Self-Service & Developer Workflow: Utilize, support and enhance self-service platform offerings using AWS, AI and IaC patterns via Terraform. 
• Shared Tools Ownership: Own and improve shared production tools and platforms such as Rundeck, GitHub, and Artifactory.
• Incident Management: Participate in incident response and on-call rotation.
• Mentorship & Documentation: Create and maintain documentation to facilitate the adoption and operation of platform services.
• Innovation: Utilize AI-assisted design and internal tools to explore new architectures, validate trade-offs, and accelerate the design and evolution of platform services and infrastructure.
• Agile Practices: Participate in the team's agile workflow and ceremonies.

What you'll bring

• Cloud Infrastructure & Operations: Deep experience operating production workloads in public/private cloud environments, utilizing role-based security, APIs, and production telemetry (metrics, logs, alerts) to enhance reliability and performance.
• Infrastructure as Code & CI/CD: Extensive background with infrastructure as code, configuration management, and CI/CD pipelines such as Terraform, Chef, Ansible, Puppet, GitHub Actions, or similar.
• Linux/Unix & Programming: Strong, hands-on Linux/Unix experience and proficiency in at least one high-level programming language such as  Python, Ruby, Go or similar.
• Container/Orchestration: Experience with container or VM orchestration platforms such as Kubernetes/Helm/EKS, OpenShift, VMware, or similar.
• Networking & Security: Solid understanding of IP network routing, DNS, load balancing, security, and edge/CDN concepts.
• Web Application Familiarity: Familiarity with large-scale Java web application development and production operations, or similar high-volume environments.

Core Competencies

• Ownership & Communication: Proven ability to manage projects and communicate clearly and effectively with stakeholders.
• Partnership with Stakeholders: Proactive approach to partnering with cross-functional stakeholders to align infrastructure strategy with business goals and drive shared outcomes.
• Problem-Solving: Self-starter mindset with strong curiosity and a hands-on bias for problem-solving. Willingness to take calculated risks to deliver elegant solutions.
• Decision Making: Comfortable navigating ambiguity to uncover root drivers and making practical, well-reasoned design decisions.

At Klaviyo, the ARIA (Applications, Resources, Intelligence, and Automations) team is building the AI systems that transform how our employees work. We are looking for a Senior AI Engineer to design, build, and scale production-grade LLM integrations and AI-powered automation tools from the ground up. This role sits at the intersection of applied AI research and full-stack software engineering. You will own everything from LLM integration architecture and RAG system design to CI/CD pipeline management and production observability. If you want to build AI that real people use at scale every day, this is the role for you.

You will report into the Director of AI and App Engineering and ….

How you’ll make a difference:

• Design and build LLM-powered applications: Architect and develop production-grade systems leveraging large language models (GPT-4, Claude, Mistral, Llama) for internal automation, knowledge retrieval, and intelligent workflow assistance.
• Build and maintain AI integration pipelines: Design robust, scalable API integrations between AI models and internal systems such as HRIS, ticketing, CRM, and knowledge bases, ensuring reliability, low latency, and high availability.
• Develop full-stack AI features end-to-end: Own the complete development of AI features across the stack from backend model orchestration and API layers to frontend interfaces that make AI accessible to non-technical employees.
• Architect and manage CI/CD pipelines for AI systems: Build and maintain automated deployment pipelines for AI models and services, including model evaluation frameworks, A/B testing infrastructure, and safe rollout strategies.
• Implement RAG and retrieval systems: Design and build retrieval-augmented generation systems grounded in Klaviyo internal knowledge, ensuring accuracy, relevance, and up-to-date responses at scale.
• Evaluate and fine-tune AI models: Lead benchmarking, evaluation, and fine-tuning of foundation models for Klaviyo use cases, including prompt engineering and parameter-efficient fine-tuning techniques.
• Establish AI engineering best practices: Define coding standards, testing frameworks, and architectural patterns for AI development at Klaviyo, enabling the team to ship reliable AI features consistently.
• Build AI observability and monitoring tooling: Instrument AI systems with latency monitoring, output quality evaluation, hallucination detection, cost dashboards, and production alerting.
• Collaborate with Product and Data Science: Work closely with PMs, data scientists, and ML engineers to translate requirements into technical implementations, maintaining a tight feedback loop between experimentation and production.
• Drive security and compliance in AI systems: Ensure AI integrations follow data privacy best practices, implement guardrails for sensitive data handling, and maintain compliance with Klaviyo security and governance standards.

Who you are: 

• 3+ years of software engineering experience, with at least 2 years focused on building AI, ML, or LLM-powered systems in production.
• Deep expertise with large language models such as OpenAI, Anthropic, Mistral, or Llama, and experience integrating them into production applications via API.
• Strong full-stack engineering skills across Python (FastAPI, Flask, or Django) and TypeScript or JavaScript, with experience in modern frontend frameworks.
• Proven experience designing and building CI/CD pipelines for software or ML systems using tools such as GitHub Actions, Jenkins, or CircleCI.
• Experience with RAG systems, vector databases (Pinecone, Weaviate, pgvector), and embedding models.
• Proficiency with cloud infrastructure (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and infrastructure-as-code tools such as Terraform or Pulumi.
• Experience with prompt engineering, model evaluation frameworks, and LLM observability tools such as LangSmith or Weights and Biases.

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, 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 April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Your Impact 

As an Infrastructure Architect, you will be responsible for the technical direction, architectural integrity, and operational maturity of Axon’s core infrastructure platforms. This includes ownership of our virtualization environments, storage platforms, cloud infrastructure (Azure and AWS), database services, and foundational platform services that support both corporate IT and product-facing teams.

You will act as the senior technical authority for infrastructure architecture—making design decisions, setting standards, and guiding execution—while remaining hands-on where it matters most. Your work will directly influence how Axon scales its environments, improves reliability, controls cost, and supports business-critical workloads across on-prem and cloud ecosystems.

In this role, you will lead and manage a team of Server and Infrastructure Engineers, providing technical direction, mentoring, and prioritization, while partnering closely with Network Architecture, Platform Engineering, Security, and Product (R&D) teams. You will serve as a key interface between corporate infrastructure and product engineering, ensuring infrastructure solutions are well-architected, secure, and aligned with Axon’s long-term strategy.

This role is ideal for a senior technologist who combines deep infrastructure expertise, architectural thinking, and people leadership, and who is motivated by building scalable, durable platforms rather than just keeping the lights on.

What You’ll Do 

Location: Scottsdale, AZ or Boston, MA - Onsite 4x a week
Reporting to: Sr. Manager, Network/Infrastructure

• Own the architecture and technical direction for Axon’s infrastructure platforms, including VMware, storage, cloud (Azure/AWS), databases, and core platform services.
• Lead and manage a team of infrastructure engineers, providing technical guidance, prioritization, and mentorship while ensuring high operational standards.
• Design, review, and approve infrastructure solutions supporting corporate IT and Axon product/R&D teams, balancing scalability, security, reliability, and cost.
• Remain hands-on in critical areas such as virtualization, cloud engineering, storage, and database platforms, serving as a senior escalation point.
• Partner closely with Network, Platform, Security, and Product teams to deliver well-architected, cross-functional solutions.
• Drive infrastructure modernization efforts, including migrations, lifecycle management, technical debt reduction, Infrastructure as Code (IaC), and automation.
• Establish standards, documentation, and best practices to improve resilience, observability, and operational maturity.
• Define, implement, and report on key infrastructure metrics and KPIs to provide visibility into platform health, capacity, cost, reliability, and team performance.
• Support planning and execution of infrastructure initiatives aligned with business growth and long-term strategy.

What You Bring

• 8+ years of experience in infrastructure engineering, with demonstrated ownership of complex on-prem and cloud environments.
• Deep hands-on expertise with VMware virtualization, enterprise storage, and cloud infrastructure (Azure required; AWS preferred).
• Strong experience with database and platform services, including SQL-based environments.
• Proven experience leading and managing technical infrastructure teams, with a track record of driving results through others.
• Proven experience defining, tracking, and reporting on infrastructure metrics, KPIs, and dashboards for leadership visibility and data-driven decisions.
• Hands-on experience with Infrastructure as Code (IaC) and automation tools (e.g. Terraform, Ansible, GitHub Actions) to deliver repeatable, scalable, and version-controlled infrastructure across hybrid environments.
• Strong communicator and collaborator who aligns with Axon’s values of ownership, accountability, teamwork, and mission focus.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work

About The Role

This isn’t a “demo jockey” role. It’s about helping prospects see what’s possible when they have clarity, control, and confidence in their networks. 

As a Senior Solutions Architect at IP Fabric, you’ll work with some of the most complex enterprise environments in the world. You’ll guide prospects through what modern network assurance really means, connecting deep technical understanding to tangible business outcomes. 

You’ll partner closely with sales, product, and engineering to shape how we show value through AI/automation, integrations, and ecosystem storytelling. You’ll bring technical credibility and executive presence to every conversation, translating complexity into direction and helping customers make smarter decisions, faster. 

This role is both technical and strategic. It’s ideal for someone who thrives in high-impact conversations with enterprise IT leaders and can also roll up their sleeves to build, test, and validate solutions hands-on. 

What You’ll Do 

• Lead technical discovery sessions that uncover enterprise challenges and align them to measurable outcomes.
• Translate network assurance opportunities into clear business impact statements (risk reduction, compliance readiness, operational efficiency).
• Design and deliver proof-of-concept (PoC) engagements that demonstrate IP Fabric’s value across hybrid and cloud networks.
• Demonstrate integrations with key ecosystem partners: ServiceNow, NetBox, Nautobot, Splunk, and others.
• Collaborate with Product and Engineering to channel structured field feedback and influence roadmap direction.
• Partner with Account Executives to define technical strategy, scope PoCs, and drive evaluations to success.
• Enable internal teams and partners with strong narratives, not just how IP Fabric works, but why it matters to enterprise transformation.
• Represent IP Fabric as a trusted advisor at customer workshops, conferences, and industry events. 

What You'll Need

• 6+ Years Enterprise networking expertise — you’ve designed, supported, or automated large-scale global environments (data center, SDN, campus, and SD-WAN).
• Strong multi-domain experience across on-prem, hybrid, and cloud networking (AWS, Azure, GCP).
• Deep knowledge of architectural principles (ie modular design, tradeoffs, simplicity vs overengineering, business goal alignment) and L2/L3 protocols and concepts (BGP, OSPF, VRF, ACLs, VLANs) 
• Experience with one or more key ecosystems: ServiceNow CMDB, NetBox, Nautobot, Ansible, Terraform, or similar stacks.
• Proven ability to translate technical complexity into clear, outcome-driven conversations with business and technical leaders.
• Confident communicator, equally effective in a whiteboard session or an executive presentation.
• Experience building structured discovery findings, success criteria, and post-PoC value narratives.
• A genuine passion for helping enterprises modernize how they operate, validate, and automate their networks. 

Bonus points if you have 

• Certifications such as CCNP/CCDE, DevNet Professional, or equivalent experience.
• Background with network assurance, observability, or orchestration platforms (e.g., IP Fabric, Cisco NSO, GitHub Actions).
• Familiarity with security, compliance, or change validation frameworks (NIST, CIS, PCI, HIPAA, etc.).
• Hands-on automation skills: Python, REST APIs, Git workflows, Jinja, Nornir, YAML/JSON, and CI/CD familiarity. 

Benefits & Perks

• 25 days of paid time off.
• ClassPass Wellness Program.
• Flexible Spending Accounts (FSA) for healthcare and dependent care expenses.
• Anniversary Rewards.
• Competitive Commission Structure.
• Health, Dental and Vision Insurance.
• Employer-matched 401(k) plan.

At Klaviyo, the ARIA (Applications, Resources, Intelligence, and Automations) team is building the AI systems that transform how our employees work. We are looking for a Senior AI Engineer to design, build, and scale production-grade LLM integrations and AI-powered automation tools from the ground up. This role sits at the intersection of applied AI research and full-stack software engineering. You will own everything from LLM integration architecture and RAG system design to CI/CD pipeline management and production observability. If you want to build AI that real people use at scale every day, this is the role for you.

You will report into the Director of AI and App Engineering and ….

How you’ll make a difference:

• Design and build LLM-powered applications: Architect and develop production-grade systems leveraging large language models (GPT-4, Claude, Mistral, Llama) for internal automation, knowledge retrieval, and intelligent workflow assistance.
• Build and maintain AI integration pipelines: Design robust, scalable API integrations between AI models and internal systems such as HRIS, ticketing, CRM, and knowledge bases, ensuring reliability, low latency, and high availability.
• Develop full-stack AI features end-to-end: Own the complete development of AI features across the stack from backend model orchestration and API layers to frontend interfaces that make AI accessible to non-technical employees.
• Architect and manage CI/CD pipelines for AI systems: Build and maintain automated deployment pipelines for AI models and services, including model evaluation frameworks, A/B testing infrastructure, and safe rollout strategies.
• Implement RAG and retrieval systems: Design and build retrieval-augmented generation systems grounded in Klaviyo internal knowledge, ensuring accuracy, relevance, and up-to-date responses at scale.
• Evaluate and fine-tune AI models: Lead benchmarking, evaluation, and fine-tuning of foundation models for Klaviyo use cases, including prompt engineering and parameter-efficient fine-tuning techniques.
• Establish AI engineering best practices: Define coding standards, testing frameworks, and architectural patterns for AI development at Klaviyo, enabling the team to ship reliable AI features consistently.
• Build AI observability and monitoring tooling: Instrument AI systems with latency monitoring, output quality evaluation, hallucination detection, cost dashboards, and production alerting.
• Collaborate with Product and Data Science: Work closely with PMs, data scientists, and ML engineers to translate requirements into technical implementations, maintaining a tight feedback loop between experimentation and production.
• Drive security and compliance in AI systems: Ensure AI integrations follow data privacy best practices, implement guardrails for sensitive data handling, and maintain compliance with Klaviyo security and governance standards.

Who you are: 

• 3+ years of software engineering experience, with at least 2 years focused on building AI, ML, or LLM-powered systems in production.
• Deep expertise with large language models such as OpenAI, Anthropic, Mistral, or Llama, and experience integrating them into production applications via API.
• Strong full-stack engineering skills across Python (FastAPI, Flask, or Django) and TypeScript or JavaScript, with experience in modern frontend frameworks.
• Proven experience designing and building CI/CD pipelines for software or ML systems using tools such as GitHub Actions, Jenkins, or CircleCI.
• Experience with RAG systems, vector databases (Pinecone, Weaviate, pgvector), and embedding models.
• Proficiency with cloud infrastructure (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and infrastructure-as-code tools such as Terraform or Pulumi.
• Experience with prompt engineering, model evaluation frameworks, and LLM observability tools such as LangSmith or Weights and Biases.

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, 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 April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Role Summary

Klaviyo is seeking a Manager of Advanced Analytics & Automation to lead strategic analytics programs and AI first automations for our Customer Success Strategy and Analytics team. This role owns the development of scalable customer intelligence systems, and spans customer cohorting, health and success signals, churn and expansion drivers, and AI-powered workflows that translate insight into action.

You will operate as a senior technical individual contributor with program-level ownership, combining advanced data analytics and applied AI in partnership to build durable tools and processes used across GTM. This role is ideal for someone who can architect, build, QA, and operationalize advanced analytics and insights projects end-to-end while partnering deeply across Product, Ops, and Data teams.

What You’ll Do

• Own Customer Success Intelligence & Advanced Analytics & Insights, design Production-Grade Data Models & Analytics Pipelines, and champion AI Tooling, Automation & Workflow Orchestration
• Build and maintain customer cohorting, segmentation, and benchmarking frameworks, in collaboration with our Product Data Science team, that captures meaningful differences in Customer behavior, maturity, and value
• Define and evolve customer health, adoption, and success scoring and signals, including leading indicators of churn and expansion
• Design and scale advanced analytics projects and models, including cohort analysis, statistical inference, and impact measurement systems, that connect product usage and engagement to customer retention outcomes
• Act as a technical program owner for complex analytics initiatives, driving roadmap definition, sequencing workstreams, coordinating dependencies, and delivering outcomes
• Create advanced SQL and Python outputs that power customer insights, forecasting inputs, and operational reporting, using GitHub for version control and change management, and applying strong data modeling and governance practices
• Partner closely with Data Engineering, CS OPs, Data Science and Product Analytics, to deliver strategic analytical tools and insights that inform GTM priorities, roadmap decisions, and customer strategy, and collaborate to deliver prototype AI-assisted tools that provide GTM teams real time actionable insights into customer behavior
• Design and deploy workflow automations using n8n, Airflow or other AI tools, and establish integrated AI driven alerts that surface real-time customer risk and opportunity
• Lead initiatives end-to-end: problem framing, design, build, QA, documentation, rollout, and iteration
• Maintain a high bar for execution quality, accuracy, reliability, and long-term scalability
• Translate complex technical outputs into clear, actionable narratives for senior business and GTM stakeholders

What We’re Looking For

• 5+ years of experience in advanced analytics, technical analytics or data analytics (SaaS strongly preferred)
• Advanced proficiency in SQL and GitHub, with experience owning complex analytical data models
• Strong hands-on experience with Python and/or R, including statistical inference, cohort analysis, and advanced research
• Tableau Developer–level fluency, with solid understanding of dashboard logic, metrics, and database structures
• Confident using AI tooling (e.g., Cursor, Glean, Codex, GitHub AI etc.) to accelerate development, and familiarity with workflow automation platforms (n8n, Airflow, DBT); experience with LangChain a plus
• Demonstrated ability to build and operationalize analytics and AI workflows used by CS, Sales, or GTM teams
• Experience operating as a technical program manager for analytics or data initiatives
• Strong communication skills and comfort partnering with senior, non-technical stakeholders
• High standards for analytical rigor, QA, documentation, and system reliability
• You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient. 

#LI-Abbey

#LI-hybrid

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, 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 April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Klaviyo is looking for a Senior Security Engineer to add to our growing Detection and Response (D&R) Team. This is a hands-on technical role that involves building and maintaining secure, reliable, and scalable detection and response systems to enhance our security observability capabilities. This role will also be responsible for participating in full end-to-end detection development and response lifecycle and support with threat response operations. As a Senior Security Engineer, you will have the opportunity to leverage your security and engineering skills to provide thought leadership, solve complex security challenges and ultimately improve Klaviyo’s overall security posture. 

How you will make a difference:

• Build systems that facilitate security observability for detection and response 
• Develop AI-first security systems to automate detection and response operations
• Onboard, normalize and optimize security logging data for large-scale data analysis, detection engineering, deployment of ML models, and efficient querying during incidents.
• Develop high-fidelity rule-based and/or ML-based detections as code
• Respond to security alerts, cyber threats, and security incidents 
• Drive end-to-end incident response investigations  
• Automate and codify detection and response workflows and processes
• Conduct ad-hoc threat hunts and be an active member of D&R on-call rotations 

We’d love to hear from you if you have:

• 5+ years of experience in software, security, and/or data engineering 
• Automation-first and AI-first approach for all work performed
• Experience with centralized logging, data lakes, and SIEM solutions
• Familiarity with large-scale data pipelines and data engineering techniques 
• Proficient in programming languages to automate / build (e.g., Python, Go or similar)
• Proven experience with git/GitHub and CI/CD automations 
• Familiarity with tactics, techniques, and procedures used by threat actors
• Experience being part of detection and response or incident response on-call 
• Strong passion for continuous learning and staying updated on evolving technology 
• Strong oral and written communication skills
• Team player with a strong, self-managing work ethic

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, 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 April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Klaviyo is looking for a Senior Security Engineer to add to our growing Detection and Response (D&R) Team. This is a hands-on technical role that involves building and maintaining secure, reliable, and scalable detection and response systems to enhance our security observability capabilities. This role will also be responsible for participating in full end-to-end detection development and response lifecycle and support with threat response operations. As a Senior Security Engineer, you will have the opportunity to leverage your security and engineering skills to provide thought leadership, solve complex security challenges and ultimately improve Klaviyo’s overall security posture. 

How you will make a difference:

• Build systems that facilitate security observability for detection and response 
• Develop AI-first security systems to automate detection and response operations
• Onboard, normalize and optimize security logging data for large-scale data analysis, detection engineering, deployment of ML models, and efficient querying during incidents.
• Develop high-fidelity rule-based and/or ML-based detections as code
• Respond to security alerts, cyber threats, and security incidents 
• Drive end-to-end incident response investigations  
• Automate and codify detection and response workflows and processes
• Conduct ad-hoc threat hunts and be an active member of D&R on-call rotations 

We’d love to hear from you if you have:

• 5+ years of experience in software, security, and/or data engineering 
• Automation-first and AI-first approach for all work performed
• Experience with centralized logging, data lakes, and SIEM solutions
• Familiarity with large-scale data pipelines and data engineering techniques 
• Proficient in programming languages to automate / build (e.g., Python, Go or similar)
• Proven experience with git/GitHub and CI/CD automations 
• Familiarity with tactics, techniques, and procedures used by threat actors
• Experience being part of detection and response or incident response on-call 
• Strong passion for continuous learning and staying updated on evolving technology 
• Strong oral and written communication skills
• Team player with a strong, self-managing work ethic

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, 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 April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Klaviyo is looking for a Senior Security Engineer to add to our growing Detection and Response (D&R) Team. This is a hands-on technical role that involves building and maintaining secure, reliable, and scalable detection and response systems to enhance our security observability capabilities. This role will also be responsible for participating in full end-to-end detection development and response lifecycle and support with threat response operations. As a Senior Security Engineer, you will have the opportunity to leverage your security and engineering skills to provide thought leadership, solve complex security challenges and ultimately improve Klaviyo’s overall security posture. 

How you will make a difference:

• Build systems that facilitate security observability for detection and response 
• Develop AI-first security systems to automate detection and response operations
• Onboard, normalize and optimize security logging data for large-scale data analysis, detection engineering, deployment of ML models, and efficient querying during incidents.
• Develop high-fidelity rule-based and/or ML-based detections as code
• Respond to security alerts, cyber threats, and security incidents 
• Drive end-to-end incident response investigations  
• Automate and codify detection and response workflows and processes
• Conduct ad-hoc threat hunts and be an active member of D&R on-call rotations 

We’d love to hear from you if you have:

• 5+ years of experience in software, security, and/or data engineering 
• Automation-first and AI-first approach for all work performed
• Experience with centralized logging, data lakes, and SIEM solutions
• Familiarity with large-scale data pipelines and data engineering techniques 
• Proficient in programming languages to automate / build (e.g., Python, Go or similar)
• Proven experience with git/GitHub and CI/CD automations 
• Familiarity with tactics, techniques, and procedures used by threat actors
• Experience being part of detection and response or incident response on-call 
• Strong passion for continuous learning and staying updated on evolving technology 
• Strong oral and written communication skills
• Team player with a strong, self-managing work ethic

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, 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 April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Role Summary

Klaviyo is seeking a Manager of Advanced Analytics & Automation to lead strategic analytics programs and AI first automations for our Customer Success Strategy and Analytics team. This role owns the development of scalable customer intelligence systems, and spans customer cohorting, health and success signals, churn and expansion drivers, and AI-powered workflows that translate insight into action.

You will operate as a senior technical individual contributor with program-level ownership, combining advanced data analytics and applied AI in partnership to build durable tools and processes used across GTM. This role is ideal for someone who can architect, build, QA, and operationalize advanced analytics and insights projects end-to-end while partnering deeply across Product, Ops, and Data teams.

What You’ll Do

• Own Customer Success Intelligence & Advanced Analytics & Insights, design Production-Grade Data Models & Analytics Pipelines, and champion AI Tooling, Automation & Workflow Orchestration
• Build and maintain customer cohorting, segmentation, and benchmarking frameworks, in collaboration with our Product Data Science team, that captures meaningful differences in Customer behavior, maturity, and value
• Define and evolve customer health, adoption, and success scoring and signals, including leading indicators of churn and expansion
• Design and scale advanced analytics projects and models, including cohort analysis, statistical inference, and impact measurement systems, that connect product usage and engagement to customer retention outcomes
• Act as a technical program owner for complex analytics initiatives, driving roadmap definition, sequencing workstreams, coordinating dependencies, and delivering outcomes
• Create advanced SQL and Python outputs that power customer insights, forecasting inputs, and operational reporting, using GitHub for version control and change management, and applying strong data modeling and governance practices
• Partner closely with Data Engineering, CS OPs, Data Science and Product Analytics, to deliver strategic analytical tools and insights that inform GTM priorities, roadmap decisions, and customer strategy, and collaborate to deliver prototype AI-assisted tools that provide GTM teams real time actionable insights into customer behavior
• Design and deploy workflow automations using n8n, Airflow or other AI tools, and establish integrated AI driven alerts that surface real-time customer risk and opportunity
• Lead initiatives end-to-end: problem framing, design, build, QA, documentation, rollout, and iteration
• Maintain a high bar for execution quality, accuracy, reliability, and long-term scalability
• Translate complex technical outputs into clear, actionable narratives for senior business and GTM stakeholders

What We’re Looking For

• 5+ years of experience in advanced analytics, technical analytics or data analytics (SaaS strongly preferred)
• Advanced proficiency in SQL and GitHub, with experience owning complex analytical data models
• Strong hands-on experience with Python and/or R, including statistical inference, cohort analysis, and advanced research
• Tableau Developer–level fluency, with solid understanding of dashboard logic, metrics, and database structures
• Confident using AI tooling (e.g., Cursor, Glean, Codex, GitHub AI etc.) to accelerate development, and familiarity with workflow automation platforms (n8n, Airflow, DBT); experience with LangChain a plus
• Demonstrated ability to build and operationalize analytics and AI workflows used by CS, Sales, or GTM teams
• Experience operating as a technical program manager for analytics or data initiatives
• Strong communication skills and comfort partnering with senior, non-technical stakeholders
• High standards for analytical rigor, QA, documentation, and system reliability
• You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient. 

#LI-Abbey

#LI-hybrid

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, 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 April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

At Klaviyo, our engineering, product, and data teams are building the future of customer technology at massive scale — solving hard technical problems, shipping rapidly, and driving outsized business impact. As the Director, R&D Talent Acquisition, you’ll play a critical role in shaping these teams by leading our technical recruiting strategy.

You’ll report to the Senior Director, Global Talent Acquisition and partner closely with senior technical leaders across Engineering, Product, and Data, as well as others across the business, to understand, anticipate, and deliver against Klaviyo’s ambitious growth. You’ll be empowered to think creatively about how to attract, assess, and close top technical talent — all while leading, developing, and scaling a team of high-performing recruiters.

How You’ll Make a Difference:

• Lead and inspire a technical recruiting team by setting clear productivity metrics, goals, and efficiencies that elevate performance and drive excellence.
• Partner directly with senior technical executives (CTO, VPs of Engineering, Product, and Data) to deeply understand their hiring needs and build strategies that deliver the talent needed to scale Klaviyo’s technical roadmap.
• Design and optimize technical recruiting processes, from sourcing through assessment, ensuring world-class candidate experiences and highly effective engineering evaluations.
• Innovate in technical sourcing by developing creative strategies across platforms like GitHub, Covey, JuiceboxAI, LinkedIn Recruiter, and technical communities, while tailoring approaches to diverse technical talent pools.
• Champion equity, diversity, and inclusion in technical hiring by building programs that expand access and opportunity, and using data to track and measure impact.
• Implement progressive global hiring strategies, collaborating with EMEA TA partners to build a consistent yet adaptable technical recruiting approach.
• Elevate candidate experience by ensuring communication, feedback, and technical assessments are transparent, engaging, and reflective of Klaviyo’s engineering culture.
• Train and mentor recruiters on technical sourcing, engineering assessment frameworks, and emerging recruiting technologies, fostering a culture of continuous learning and growth.
• Leverage data and insights to challenge the status quo, optimize funnel health, and continually improve recruiting effectiveness and scalability.
• Maximize recruiting technology by driving best-in-class usage of Greenhouse, LinkedIn Recruiter, Guide, BrightHire, and other platforms to boost efficiency and candidate engagement.
• Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.

Who You Are:

• 10+ years leading Talent Acquisition strategies at scale, with significant focus on technical recruiting for engineering, product, and data functions.
• 5+ years of direct people management experience; preferably leading high-growth technical recruiting teams in fast-paced, agile environments.
• Strong understanding of technical talent markets and engineering assessment practices (coding interviews, take-home assignments, system design evaluations).
• Skilled at building trusted partnerships with technical executives and hiring managers, with a proven ability to influence and deliver at the executive level.
• Excellent written and verbal communication skills, with the confidence to represent Klaviyo to senior leaders and candidates alike.
• Deeply data-driven in how you evaluate recruiting health, sourcing strategies, and EDI initiatives.
• Maniacally focused on operational excellence and continuous improvement.
• Intellectually curious with a candidate- and customer-first mindset.
• Experience with Greenhouse ATS is preferred but not required.
• Familiarity with technical platforms and communities (GitHub, Stack Overflow, HackerRank, etc.) is a strong plus.
• You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.

Why this role matters:

At Klaviyo, we’re not just filling roles — we’re building the technical teams that will define the future of our company. This is a chance to own the strategy and execution of technical recruiting at scale, shape Klaviyo’s technical hiring brand, and directly influence how we attract, assess, and hire the best technical talent in the world.

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, 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 April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

We’re looking for a Staff Cyber Resilience Engineer to lead our defense against the attacks that matter most: ransomware, destructive wipes, and data loss at scale. This is a hands-on technical leadership role.  You will own the design and engineering of our Isolated Recovery Environment, set the standard for Infrastructure as Code across the organization, and ensure that if our AWS environment is ever compromised, we can restore operations with certainty and speed.

You will work with a high-caliber engineering team, have direct influence on our security architecture, and lead recovery exercises that test the organization end-to-end.

What You’ll Do

Own Our Recovery Architecture

•       Design and build our Isolated Recovery Environment — a hardened AWS account with immutable vaults that break the attacker’s kill chain before it reaches our data.
•       Threat model our environment with a deep understanding of cloud-native attack patterns: IAM privilege escalation, backup deletion, ransomware persistence, and lateral movement across accounts.
•       Validate and continuously improve backup configurations to ensure recoverability, not just existence.

Standardize and Automate Infrastructure

•       Lead our transition to 100% Infrastructure as Code. Every asset (VPCs, IAM roles, security groups) must be defined in Terraform so we can redeploy the entire stack into a clean account via automated pipeline.
•       Build automated recovery workflows that can tear down a compromised environment and bootstrap a fresh, hardened one from verified code and clean data.
•       Write and maintain executable recovery playbooks that detail the exact API calls and CLI commands needed to restore the application — tested, versioned, and runnable, not static documents.

Validate, Test, and Lead Exercises

•       Develop automated scripts (Python or Go) to smoke test recovered data and validate integrity post-restoration.
•       Lead regular hands-on recovery drills that simulate total loss of a critical environment and full recovery into a secondary clean account. Own the after-action process and drive improvements.

Drive Engineering Standards

•       Act as the resilience authority for the engineering organization — shaping high-availability architecture decisions, influencing design reviews, and raising the floor on how we think about recoverability.
•       Partner with the Site Reliability Engineering team on multi-region deployments and high-availability design, ensuring cyber resilience is embedded in architecture from the start.
•       Champion IaC and immutable infrastructure practices across teams, not just within your own workstream.

What You Bring

Required

•       8+ years of experience in complex cloud environments (any of AWS/GCP/Azure), including at least 3 years in AWS.  EKS/Kubernetes experience is a strong plus.
•       Strong Terraform skills. You should be able to modularize complex environments so they are environment-agnostic.
•       Hands-on familiarity with the Secure Vault pattern: protecting data in a separate, highly restricted AWS account with tight network controls.
•       Advanced shell scripting and proficiency in either Python or Go to automate restoration tasks that native AWS tooling doesn’t cover.
•       Experience with CI/CD tooling (Scalr, GitHub Actions, or equivalent) to enable broad adoption of recovery pipelines across the organization.
•       Proven ability to engineer and automate end-to-end restoration workflows.

Preferred

•       Hands-on experience leading technical recovery efforts from an actual cyber attack or destructive incident.
•       Experience with chaos engineering tooling to stress-test recovery assumptions.
•       Familiarity with NIST SP 800-34 (Contingency Planning) or similar frameworks.
•       AWS Security Specialty certification or equivalent demonstrated expertise.

The estimated base salary range for new hires into this role is $205,000- $233,000 annually + annual bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.

#LI-Hybrid

Responsibilities:

• You will be responsible for designing, coding, testing, and releasing software
• Reading, writing, and reviewing code written in HTML, Typescript/Javascript/React, Python, and Rust
• Close collaboration with other engineers and product managers to become a valued member of an autonomous, cross-functional team
• Operational responsibility for the services that are owned by your team, including deploying services into an AWS and kubernetes environment and taking part in an on-call rotation
• Work in an environment that supports your individual growth
  
  

Qualifications:

• Required: 5+ years of experience in a fast-paced technical, problem-solving environment as a full stack software developer
• Required: Demonstrable understanding of software engineering fundamentals
• Required: Knowledge of HTML, CSS, DOM web programming.
• Required: Knowledge and demonstrated experience in at least two of React, Python, Typescript.
• Desired: Experience with build and testing technologies using one or more of the following Git/Github actions, GitLab.
• Required: Experience with software engineering principles related to security, scalability, asynchronous programming and transactions
• Desired: Demonstrated knowledge of principles of service-oriented architectures and ability to lead efforts in defining and implementing a service strategy
• Desired: Experience with relational and/or NoSQL databases with understanding of Normalization/Denormalization, Constraints, Transactions, Replication, and Sharding
• Required: attention to detail, good work ethic, ability to work on multiple projects simultaneously, and good communication skills
  
  

Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

#LI-Hybrid

Xometry is seeking a Site Reliability Engineer II to join our Site Reliability Engineering (SRE) Organization. In this role as an individual contributor, you will guide the reliability and performance of our infrastructure and software systems across several engineering teams and influence decisions across our technology organization. You will utilize your technical skills and expertise to help us build reliable and flexible infrastructure solutions that empower our technology organization to quickly and safely deploy new features for our customers.

Responsibilities

• Take ownership of assigned problem statements and drive them to completion with guidance from senior engineers.
• Write clean, efficient, and well-documented code while improving existing systems and features.
• Accurately estimate timelines for features and tasks, learning to balance effort, risk, and impact.
• Collaborate effectively across teams, communicating clearly on progress, blockers, and outcomes.
• Seek and apply feedback from peers and managers to improve code quality, technical skills, and delivery consistency.
• Support team members and contribute to a positive, learning-oriented team culture.
• Take ownership of personal development goals, showing steady progress in technical and problem-solving skills.
• Demonstrate accountability, curiosity, and continuous improvement in all aspects of your work.
• Develop, configure, and maintain underlying platforms for deployed software (AWS accounts and networking, kubernetes clusters, and similar systems).
• Develop, configure, and maintain observability and monitoring tools (Coralogix, Sentry, etc.).
• Develop, configure, and maintain software development (CI/CD) tools (github actions runners, ArgoCD, etc).

Qualifications Required:

• 3+ years of professional experience in infrastructure management or backend software development experience in a fast-paced, product-driven environment.
• Demonstrated technical expertise in one or more of the following languages: Python, Javascript, or Unix Shell.
• Experience with AWS, including deploying, monitoring, and scaling production workloads.
• General experience with Terraform, Kubernetes, CI/CD pipelines, and Docker.
• Comfortable working in an operational environment, including participation in an on-call schedule.
• Excellent communication and collaboration skills, comfortable engaging with both technical and non-technical stakeholders.

The estimated base salary range for new hires into this role is $135,000 - $165,000 annually + commission depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.

#LI-Hybrid

Xometry is seeking a Site Reliability Engineer II to join our Site Reliability Engineering (SRE) Organization. In this role as an individual contributor, you will guide the reliability and performance of our infrastructure and software systems across several engineering teams and influence decisions across our technology organization. You will utilize your technical skills and expertise to help us build reliable and flexible infrastructure solutions that empower our technology organization to quickly and safely deploy new features for our customers.

Responsibilities

• Take ownership of assigned problem statements and drive them to completion with guidance from senior engineers.
• Write clean, efficient, and well-documented code while improving existing systems and features.
• Accurately estimate timelines for features and tasks, learning to balance effort, risk, and impact.
• Collaborate effectively across teams, communicating clearly on progress, blockers, and outcomes.
• Seek and apply feedback from peers and managers to improve code quality, technical skills, and delivery consistency.
• Support team members and contribute to a positive, learning-oriented team culture.
• Take ownership of personal development goals, showing steady progress in technical and problem-solving skills.
• Demonstrate accountability, curiosity, and continuous improvement in all aspects of your work.
• Develop, configure, and maintain underlying platforms for deployed software (AWS accounts and networking, kubernetes clusters, and similar systems).
• Develop, configure, and maintain observability and monitoring tools (Coralogix, Sentry, etc.).
• Develop, configure, and maintain software development (CI/CD) tools (github actions runners, ArgoCD, etc).

Qualifications Required:

• 3+ years of professional experience in infrastructure management or backend software development experience in a fast-paced, product-driven environment.
• Demonstrated technical expertise in one or more of the following languages: Python, Javascript, or Unix Shell.
• Experience with AWS, including deploying, monitoring, and scaling production workloads.
• General experience with Terraform, Kubernetes, CI/CD pipelines, and Docker.
• Comfortable working in an operational environment, including participation in an on-call schedule.
• Excellent communication and collaboration skills, comfortable engaging with both technical and non-technical stakeholders.

The estimated base salary range for new hires into this role is $135,000 - $165,000 annually + commission depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.

#LI-Hybrid

Xometry is seeking a Senior Software Engineer to join our software engineering organization. In this role, you’ll work as part of a skilled, collaborative team to build and maintain solutions for the Post Order/Order Management team. You will play a crucial role in the Xometry platform, ensuring the reliability, scalability, and security of our services.

Responsibilities:

• You will be responsible for designing, coding, testing, and releasing software
• Reading, writing, and reviewing code written in HTML, Typescript/Javascript/React, Python, and Rust
• Close collaboration with other engineers and product managers to become a valued member of an autonomous, cross-functional team
• Operational responsibility for the services that are owned by your team, including deploying services into an AWS and kubernetes environment and taking part in an on-call rotation
• Work in an environment that supports your individual growth

Qualifications:

• Required: 5+ years of experience in a fast-paced technical, problem-solving environment as a full stack software developer
• Required: Demonstrable understanding of software engineering fundamentals
• Required: Knowledge of HTML, CSS, DOM web programming.
• Required: Knowledge and demonstrated experience in at least two of React, Python, Typescript.
• Desired: Experience with build and testing technologies using one or more of the following Git/Github actions, GitLab.
• Required: Experience with software engineering principles related to security, scalability, asynchronous programming and transactions
• Desired: Demonstrated knowledge of principles of service-oriented architectures and ability to lead efforts in defining and implementing a service strategy
• Desired: Experience with relational and/or NoSQL databases with understanding of Normalization/Denormalization, Constraints, Transactions, Replication, and Sharding
• Required: attention to detail, good work ethic, ability to work on multiple projects simultaneously, and good communication skills

The estimated base salary range for new hires into this role is $119,000-$155,000 annually + annual bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.

#LI-Hybrid

About this position:

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

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

What you'll be doing:

Strategy

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

Technical/ Execution

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

Team / Collaboration

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

Leadership

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

Research/Best Practices

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

What success looks like:

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

What you bring:

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

How you work: 

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

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

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

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

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

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

Our approach to compensation:

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

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

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

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

Salary Range: 

$200,000 - 230,000 OTE

#LI-remote

About this position:

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

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

What you'll be doing:

Strategy

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

Technical/ Execution

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

Team / Collaboration

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

Leadership

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

Research/Best Practices

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

What success looks like:

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

What you bring:

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

How you work: 

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

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

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

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

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

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

Our approach to compensation:

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

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

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

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

Salary Range: 

$200,000 - 230,000 OTE

#LI-remote

About this position:

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

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

What you'll be doing:

Strategy

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

Technical/ Execution

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

Team / Collaboration

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

Leadership

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

Research/Best Practices

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

What success looks like:

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

What you bring:

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

How you work: 

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

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

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

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

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

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

Our approach to compensation:

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

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

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

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

Salary Range: 

$200,000 - 230,000 OTE

#LI-Hybrid  

About this position:

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

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

What you'll be doing:

Strategy

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

Technical/ Execution

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

Team / Collaboration

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

Leadership

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

Research/Best Practices

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

What success looks like:

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

What you bring:

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

How you work: 

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

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

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

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

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

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

Our approach to compensation:

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

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

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

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

Salary Range: 

$200,000 - 230,000 OTE

#LI-Remote

About this position:

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

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

What you'll be doing:

Strategy

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

Technical/ Execution

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

Team / Collaboration

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

Leadership

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

Research/Best Practices

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

What success looks like:

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

What you bring:

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

How you work: 

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

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

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

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

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

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

Our approach to compensation:

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

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

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

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

Salary Range: 

$200,000 - 230,000 OTE

#LI-Hybrid