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

Recorded Future is seeking an experienced Senior Engineering Manager to lead a diverse team of engineers building one of the world’s most comprehensive global internet scanning platforms. As a Senior Engineering Manager, you will oversee multiple established teams and functions, including:

• Scan Engine Development – Our proprietary network scanning engine that operates on a global scale to collect intelligence insights from everything on the internet, supported by a cross-functional team of software engineers and operations specialists
• Vulnerability and Signature Research – Our team of vulnerability researchers working in coordination with internal intelligence functions to develop unique detections and signatures that power the scan engine
• Scan Operations and Site Reliability – Our team responsible for the operational health, scale, and reliability of the platform, ensuring intelligence is generated and delivered continuously to support teams and clients across the organization

What You'll Do:

• Team Leadership: Lead and mentor a multi-disciplinary team of vulnerability researchers, scan operations engineers, and software engineers across multiple geographies, fostering a collaborative, high-performing, and inclusive environment. Provide technical leadership by guiding development efforts, setting direction, and coaching engineers to grow their careers while maintaining a high engineering bar.
• Cross-Team Coordination: Partner closely with engineering leadership, product managers, and stakeholders across the broader organization — including teams from recently integrated business units — to align on scope, timelines, and solution designs that serve the full breadth of Recorded Future’s needs. Effectively communicate and advocate technical solutions to product, engineering, and business audiences.
• Engineering Excellence: Drive the continuous improvement of engineering practices, processes, and tools to increase efficiency and product quality. Ensure teams design, develop, and deploy features with a focus on high availability, quality, low latency, and scalability.
• Project Management: Oversee the planning, execution, and delivery of product features and updates, ensuring alignment with company goals and timelines.
• Agile Practices: Implement and maintain agile methodologies for project tracking and documentation.
• AI-First Development: Champion an AI-first engineering culture across your teams, encouraging the adoption of AI tools, workflows, and practices in day-to-day development. You should be comfortable guiding your team in its application and aligned with Recorded Future’s broader commitment to AI-driven engineering.

What You'll Bring:

• At least 10 years of experience in software engineering, ideally in an Enterprise SaaS product.
• At least 4 years in a management or leadership role, ideally overseeing multiple functions with remote teams in different timezones.
• Meaningful hands-on software engineering experience, ideally including familiarity with languages such as Python, Go, or C. You don’t need to be actively coding day-to-day, but you should be able to engage credibly with engineers on technical decisions and hold the team to a high engineering bar.
• Background in or strong familiarity with low-level, network-heavy applications with a focus on high-volume traffic, availability, and global scale is highly desirable, despite this role being primarily managerial.
• Familiarity with key technologies such as message busses/queues (Kafka, Rabbit, etc.), containerization (Docker, Kubernetes, etc.)
• Extensive familiarity with the TCP/IP protocol stack, including application of concepts from DNS, WHOIS, and other artifacts needed for technical reconnaissance and discovery
• Comfort with AI development concepts and a genuine enthusiasm for guiding teams to incorporate AI into their workflows and understanding its practical applications in software development
• Experience in technical leadership such as leading project teams' development efforts and setting technical direction
• A passion for coaching others to grow their technology career and sharing good practices with more junior engineers
• Excellent verbal and written communication skills
• Bachelor’s and/or Master’s degree in Computer Science, Computer Engineering, or equivalent education/work experience

Preferred Qualifications:

• Any familiarity with cybersecurity principles and the unique challenges of developing cybersecurity products
• Any familiarity with things like port scanning, vulnerability scanning, or signature development
• Any familiarity with enterprise security products related to Recorded Future’s offerings

The base salary range for this full-time position is $199,000-$278,000. 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

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.

MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. 

We are looking to speak to candidates who are based in Boston, MA for our hybrid working model.

As an ideal candidate, you will have:

• Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
• Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
• Experience designing with scalable and highly available distributed systems in the cloud and on-prem
• Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
• Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
• Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
• The ability to travel up to 25%
• A Bachelor’s degree or equivalent work experience

You may also have:

• Experience selling databases and/or deploying applications with any of the major cloud providers 
• Experience with database programming and data models 
• Experience in data engineering or AI/ML projects
• Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
• Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
• A MongoDB Certification
• A Cloud Provider Certification

What you do at MongoDB:

In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:

• Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
• Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
• Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
• Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
• Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
• Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members 
• Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends

What you will learn:

MongoDB Product Suite Mastery:

• Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
• Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
• Relational Migrator: Learn to migrate from relational databases seamlessly

Market-Relevant Technologies:

• Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
• Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes

Modern Architecture Design:

• Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
• Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space

Sales Techniques and Soft Skills:

• Effective Communication: Master presentations, demonstrations, and whiteboarding
• Client Interaction: Develop strategies for discovery and objection handling

Industry Insights:

• Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 426022

Klaviyo is growing fast and we have openings for all skill levels across all of our teams. Learn more about our engineering culture at https://klaviyo.tech

We love tackling tough engineering problems and look for Engineers who specialize in certain areas but are passionate about building, owning & scaling features end to end from scratch and breaking through any obstacle or technical challenge in their way. We push each other to move out of our comfort zone, learn new technologies and work hard to ensure each day is better than the last.

Klaviyo operates a real-time data platform built for massive scale on Amazon Web Services (AWS). Engineers come to Klaviyo with experience in a variety of languages and from a number of disciplines.

Responsibilities

The teams in the Data Platform area work with large scale distributed systems and databases to power core Klaviyo functionality and generate data-driven insights. As an engineer in this area, you will be responsible for designing, building, and maintaining systems that support other engineering teams across Klaviyo. You will work with a cross functional team to help design systems, write high quality code, create infrastructure, and operate large scale systems in a production environment.

Team Tech Stack

• AWS
• Python
• Kubernetes
• MySQL
• Clickhouse
• Kafka
• Spark
• Flink
• Iceberg
• Terraform
• Airflow

Required Skills

• Degree or equivalent experience in a software engineering discipline
• 2+ years of experience in a software engineering discipline
• Proficient in using at least one modern programming language
• Experience designing, building, and operating distributed systems in a cloud computing environment
• Experience with OLTP or OLAP databases
• Experience with high volume data processing and storage systems
• Experience provisioning infrastructure using Terraform or a similar infrastructure as code tool
• Experience using Linux operating systems
• Able to communicate well
• Able to work with others on a team
• Able to learn continuously and adapt to a high growth environment
• Able to stick with and solve difficult problems

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 growing fast and we have openings for all skill levels across all of our teams. Learn more about our engineering culture at https://klaviyo.tech

We love tackling tough engineering problems and look for Engineers who specialize in certain areas but are passionate about building, owning & scaling features end to end from scratch and breaking through any obstacle or technical challenge in their way. We push each other to move out of our comfort zone, learn new technologies and work hard to ensure each day is better than the last.

Klaviyo operates a real-time data platform built for massive scale on Amazon Web Services (AWS). Engineers come to Klaviyo with experience in a variety of languages and from a number of disciplines.

Responsibilities

The Data Automation team builds tooling that helps our Data Platform engineers provision and test infrastructure to power core Klaviyo functionality and generate data-driven insights. As an engineer on this team, you will be responsible for designing, building, and maintaining systems that help us operate our mission critical analytics infrastructure. You will work with a cross functional team to help design systems, create infrastructure, write high quality code, and operate large scale systems in a production environment.

Team Tech Stack

• AWS
• Python
• Terraform
• Kubernetes
• Clickhouse
• DynamoDB
• MySQL
• Kafka
• Spark
• Flink
• Iceberg
• Airflow

Required Skills

• Degree or equivalent experience in a software engineering discipline
• Proficient in using at least one modern programming language
• Able to communicate well
• Able to work with others on a team
• Able to learn continuously and adapt to a high growth environment
• Able to stick with and solve difficult problems
• 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.

Preferred Skills

• Experience designing, building, and operating distributed systems in a cloud computing environment
• Experience provisioning infrastructure using Terraform or a similar infrastructure as code tool
• Experience performance tuning and scaling systems
• Experience with OLTP and OLAP databases
• Experience with high volume data processing and storage systems
• Experience using Linux operating systems

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

Why You Should Join the Mobile Channels Team:

The Mobile Channels team at Klaviyo powers text messaging across Klaviyo's platform — SMS, RCS, WhatsApp, and a growing set of future text messaging channels. As brands increasingly rely on mobile to reach their customers, our team builds the infrastructure that makes high-throughput, reliable delivery possible across a complex, multi-channel landscape. We own the systems that connect Klaviyo customers to their audiences through the fastest and most personal communication channels available.

As a Lead Software Engineer on the Mobile Channels team, you'll provide technical leadership to a group of engineers building and scaling the services that power Klaviyo's mobile messaging pipeline end-to-end. You'll drive technical strategy, own critical components of the delivery infrastructure, and help the team navigate the unique challenges of multi-channel compliance, carrier regulations, provider integrations, and global deliverability. This is a hands-on technical leadership role where you'll contribute to architecture, code, and mentorship while shaping the future of mobile messaging at Klaviyo.

If you're excited about building systems that deliver millions of messages across channels with speed and reliability — and leading a team at the center of one of Klaviyo's fastest-growing product areas — Mobile Channels is the place to do it.

How You Will Make a Difference:

• Lead a team of engineers building and scaling Klaviyo's mobile messaging infrastructure across SMS, RCS, WhatsApp, and future channels
• Own and drive the architecture of key components in the mobile messaging pipeline — from message ingestion and routing to provider delivery and status tracking
• Design and implement scalable, high-throughput services in Python and Go
• Build systems that ensure reliable delivery at scale while managing carrier compliance, opt-in/opt-out requirements, throughput limits, and international messaging regulations
• Contribute directly to architecture and code, driving best practices and quality
• Collaborate cross-functionally with product, deliverability, compliance, and platform teams to expand mobile channel capabilities
• Grow and mentor engineers while helping shape the future of mobile messaging at Klaviyo
• Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up

Who You Are:

• 8+ years of engineering experience with strong backend and systems design skills
• Proficient in Python and/or Go and be able to rapidly learn the other
• Comfortable coding and reviewing complex systems — this is a hands-on role
• Experienced working with high-throughput distributed systems
• Skilled in system design and scaling infrastructure using AWS
• Strong business and product mindset — you think beyond the code to understand customer impact and commercial value
• Able to bring clarity to ambiguous requirements, breaking down undefined problems into actionable plans
• Self-led and driven to deliver incrementally — you ship value early and iterate
• Bonus: Experience with SMS/MMS infrastructure, RCS, WhatsApp Business API, carrier integrations, telecom APIs, or messaging compliance
• Clear communicator and collaborative team player
• Able to thrive in a hybrid team and deliver in a high-autonomy environment
• 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.

Technologies We Use:

• Python, Go
• AWS, Terraform, DynamoDB, Redis, SQL
• Kafka

Location:

This is a hybrid role based in Boston, with 3 days in office and 2 days remote per week.

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

Why You Should Join the Mobile Channels Team:

The Mobile Channels team at Klaviyo powers text messaging across Klaviyo's platform — SMS, RCS, WhatsApp, and a growing set of future text messaging channels. Mobile is one of Klaviyo's fastest-growing product areas: as brands shift more of their owned-channel investment to mobile, our team builds the infrastructure that makes high-throughput, reliable delivery possible across a complex, multi-channel landscape. We own the systems that connect Klaviyo customers to their audiences through the fastest and most personal communication channels available — at scale, across geographies, and against a constantly evolving set of carrier, regulatory, and provider constraints.

As a Senior Lead Software Engineer on the Mobile Channels team, you'll be the technical area lead for Mobile Channels — driving architecture and technical direction across the SMS, RCS, and WhatsApp teams, and the new channels we'll add next. You'll define the cross-team technical roadmap for the pillar, own the architectural patterns that bind the channels together (ingestion, routing, provider integration, status tracking, compliance automation, deliverability), and lead the most complex, multi-team initiatives end-to-end. This is a hands-on technical leadership role: you'll contribute to architecture and code, lead design reviews, mentor Lead and Senior engineers across multiple teams, and partner closely with Engineering Managers to keep our systems healthy as the surface area grows.

If you're excited about being the senior IC who connects the technical strategy across an entire multi-channel messaging pillar — and doing it at one of Klaviyo's highest-growth product areas — Mobile Channels is the place to do it.

How You Will Make a Difference:

• Technical Strategy & Roadmap: Define and drive the cross-team technical roadmap for Mobile Channels, aligning architectural direction across SMS, RCS, WhatsApp, and emerging channels with company priorities and the broader Messaging Infrastructure strategy.
• Multi-Team Architecture: Own the architectural patterns that span the pillar — message ingestion and routing, provider integration, status tracking, deliverability, opt-in/opt-out and compliance automation, multi-region readiness — and embed them into team roadmaps, not just documents.
• Hands-On Technical Leadership: Stay in the code. Drive architecture and design across teams, lead high-stakes design reviews, build prototypes and reference implementations to de-risk decisions, and ship meaningful contributions yourself.
• Reliability & Scale: Raise the bar on reliability across Mobile Channels — drive systemic fixes for recurring incidents, lead deep dives on the highest-impact production issues, and embed stronger guardrails (end-to-end testing in CI, readiness gates, observability standards) into how the teams ship.
• Cross-Functional & Cross-Pillar Collaboration: Partner with Engineering Managers, Product, Deliverability, Compliance, and Platform leadership to sequence cross-team work realistically. Build durable peer relationships with senior technical leaders across Klaviyo's other engineering pillars to drive company-wide technical objectives that span multiple pillars — bringing the Mobile Channels perspective to those forums, and connecting our roadmap to the broader engineering strategy.
• AI-Forward Engineering: Put AI at the center of how the teams build and how the systems run — model AI-fluent engineering practices yourself, and drive concrete improvements to operational and developer workflows (anomaly detection, synthetic load, runbook automation) across the teams.
• Mentorship: Mentor other engineers regularly, primarily experienced lead and senior engineers across SMS, RCS, and WhatsApp, and represent Mobile Channels' technical bar in senior hiring.
• Continuous Improvement: Stay current with how the messaging ecosystem and engineering craft are evolving — new channels, carrier and regulatory shifts, AI tooling, performance and reliability practices — and translate that into concrete, sequenced improvements for the teams.

Who You Are:

• Experience: 12+ years of software engineering experience with a strong track record building and scaling distributed backend systems. Prior time as a Lead, Staff, or Principal engineer driving technical direction across multiple teams.
• Hands-On Technical Depth: Proficient in Python and/or Go, and able to rapidly learn the other. Comfortable coding, reviewing, and debugging complex systems — this is a hands-on role.
• Distributed Systems Expertise: Deep experience with high-throughput, event-driven, distributed architectures — ingestion pipelines, async processing, stateful workloads, eventing patterns, multi-region/data-locality concerns, and the failure modes that come with all of it.
• Architectural & Strategic Skills: Demonstrated ability to define technical strategy and drive cross-team architectural decisions in ambiguous, high-stakes environments — and to commit to a call even when there's disagreement, backed by data and prototypes.
• Cloud & Platform: Strong experience with AWS at scale; comfortable with Infrastructure as Code (Terraform), containerization, and modern observability stacks (metrics, logs, traces, SLI/SLO design).
• Business & Product Mindset: You think beyond the code — you understand customer impact, commercial value, and the cost-vs-conversion tradeoffs that come with mobile messaging — and you bring that mindset into architectural decisions.
• Influence & Communication: Exceptional communicator; can articulate complex technical concepts to engineers, product leaders, and executives, and can rally multiple teams toward sequenced, realistic improvements.
• AI Enthusiast: 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 — and the systems you build — smarter and more efficient.
• Collaborative & Self-Led: Strong cross-functional partner; thrives in a hybrid team and high-autonomy environment; ships value early and iterates.

Nice to Have:

• Experience with the SMS, RCS, or WhatsApp ecosystems, including channel-specific protocols, opt-in/opt-out semantics, and familiarity with key 3rd-party entities (carriers, providers, regulators) and compliance rules and best practices.
• Background in performance optimization and a passion for digging into performance, scalability, and reliability issues to drive breakthrough solutions across distributed systems.
• Experience with multi-region deployments, data residency, and large-scale data or service migrations with minimal downtime.
• Familiarity with complex data management for testing, including large datasets and production-like data replication.

Technologies We Use:

• Python, Go
• AWS, Terraform, DynamoDB, Redis, SQL
• Kafka

Location:

This is a hybrid role based in Boston, with 3 days in office and 2 days remote per week.

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

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

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

What You'll Do

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

Key Metrics

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

What You'll Add to DigitalOcean

Required Experience & skills

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

Preferred Qualification:

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

Compensation Range: 

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

*This is a remote role

JR: 2026-7646

#LI-Remote

We 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

We are looking for a Senior Software Engineer who is passionate about startups fueling the next wave of AI innovation. 

We are seeking a highly experienced and motivated Senior Software Engineer to join our Security Products team. In this pivotal role, you will be instrumental in designing, building, and maintaining robust security products and infrastructure that protect Digital Ocean's platform and our customers' data. This is an exciting opportunity for an individual who thrives in a fast-paced environment and is passionate about solving complex security challenges at scale.

What you’ll do

• Design and develop real-time security detection engines using Apache Flink and Kafka for threat detection at cloud scale
• Build high-performance security APIs and microservices using Go and JavaScript/Node.js
• Implement streaming analytics for security event correlation, anomaly detection, and threat intelligence
• Architect and implement security solutions running on Kubernetes at hyperscale
• Develop security data pipelines processing petabytes of logs, network traffic, and telemetry data
• Lead technical design for complex security platform features from conception to production
• Collaborate with security researchers, threat analysts, and cloud platform teams
• Mentor junior engineers on security engineering best practices and cloud-native development

What we’ll expect from you

• 5+ years of experience in software engineering, with significant exposure to building products at security companies or within security functions.
• Expert-level Go and strong JavaScript/Node.js skills
• Proven track record of designing and implementing high-throughput, scalable systems with large data requirements
• Deep understanding of distributed systems: consensus, replication, partitioning, and consistency - Production Apache Flink and advanced Kafka experience processing high-volume event streams.
• Deep Kubernetes expertise running security-critical workloads at scale
• Cloud platform experience (AWS, GCP, Azure) with understanding of cloud security models, infrastructure as Code expertise (Terraform, Helm, Chef)
• Experience building systems handling millions of events per second
• Familiarity with various security tools and technologies (e.g., SIEM, WAF, IDS/IPS, vulnerability scanners).
• Excellent problem-solving, analytical, and communication skills.
• Ability to thrive in a fast-paced, dynamic, and rapidly evolving environment.

Nice to Have

• Experience with distributed systems and microservices architectures.
• Knowledge of cryptography and secure communication protocols.
• Contributions to open-source security projects.

Compensation Range: 

• $140,800 - $176,000

*This is a remote role.

JR: 2026-7538

#LI-Remote

We are looking for a Senior Software Engineer who is passionate about startups fueling the next wave of AI innovation. 

The Role

We are seeking a highly experienced and motivated Senior Software Engineer to join our Security Products team. In this pivotal role, you will be instrumental in designing, building, and maintaining robust security products and infrastructure that protect Digital Ocean's platform and our customers' data. This is an exciting opportunity for an individual who thrives in a fast-paced environment and is passionate about solving complex security challenges at scale.

What you’ll do

• Design and develop real-time security detection engines using Apache Flink and Kafka for threat detection at cloud scale
• Build high-performance security APIs and microservices using Go and JavaScript/Node.js
• Implement streaming analytics for security event correlation, anomaly detection, and threat intelligence
• Architect and implement security solutions running on Kubernetes at hyperscale
• Develop security data pipelines processing petabytes of logs, network traffic, and telemetry data
• Lead technical design for complex security platform features from conception to production
• Collaborate with security researchers, threat analysts, and cloud platform teams
• Mentor junior engineers on security engineering best practices and cloud-native development

What we’ll expect from you

• 5+ years of experience in software engineering, with significant exposure to building products at security companies or within security functions.
• Expert-level Go and strong JavaScript/Node.js skills
• Proven track record of designing and implementing high-throughput, scalable systems with large data requirements
• Deep understanding of distributed systems: consensus, replication, partitioning, and consistency - Production Apache Flink and advanced Kafka experience processing high-volume event streams.
• Deep Kubernetes expertise running security-critical workloads at scale
• Cloud platform experience (AWS, GCP, Azure) with understanding of cloud security models, infrastructure as Code expertise (Terraform, Helm, Chef)
• Experience building systems handling millions of events per second
• Familiarity with various security tools and technologies (e.g., SIEM, WAF, IDS/IPS, vulnerability scanners).
• Excellent problem-solving, analytical, and communication skills.
• Ability to thrive in a fast-paced, dynamic, and rapidly evolving environment.

Nice to Have

• Experience with distributed systems and microservices architectures.
• Knowledge of cryptography and secure communication protocols.
• Contributions to open-source security projects.

Compensation Range: 

• $140,800 - $176,000

*This is a remote role.

JR: 2026-7538

#LI-Remote

We are looking for a Senior Software Engineer who is passionate about startups fueling the next wave of AI innovation. 

We are seeking a highly experienced and motivated Senior Software Engineer to join our Security Products team. In this pivotal role, you will be instrumental in designing, building, and maintaining robust security products and infrastructure that protect Digital Ocean's platform and our customers' data. This is an exciting opportunity for an individual who thrives in a fast-paced environment and is passionate about solving complex security challenges at scale.

What you’ll do

• Design and develop real-time security detection engines using Apache Flink and Kafka for threat detection at cloud scale
• Build high-performance security APIs and microservices using Go and JavaScript/Node.js
• Implement streaming analytics for security event correlation, anomaly detection, and threat intelligence
• Architect and implement security solutions running on Kubernetes at hyperscale
• Develop security data pipelines processing petabytes of logs, network traffic, and telemetry data
• Lead technical design for complex security platform features from conception to production
• Collaborate with security researchers, threat analysts, and cloud platform teams
• Mentor junior engineers on security engineering best practices and cloud-native development

What we’ll expect from you

• 5+ years of experience in software engineering, with significant exposure to building products at security companies or within security functions.
• Expert-level Go and strong JavaScript/Node.js skills
• Proven track record of designing and implementing high-throughput, scalable systems with large data requirements
• Deep understanding of distributed systems: consensus, replication, partitioning, and consistency - Production Apache Flink and advanced Kafka experience processing high-volume event streams.
• Deep Kubernetes expertise running security-critical workloads at scale
• Cloud platform experience (AWS, GCP, Azure) with understanding of cloud security models, infrastructure as Code expertise (Terraform, Helm, Chef)
• Experience building systems handling millions of events per second
• Familiarity with various security tools and technologies (e.g., SIEM, WAF, IDS/IPS, vulnerability scanners).
• Excellent problem-solving, analytical, and communication skills.
• Ability to thrive in a fast-paced, dynamic, and rapidly evolving environment.

Nice to Have

• Experience with distributed systems and microservices architectures.
• Knowledge of cryptography and secure communication protocols.
• Contributions to open-source security projects.

Compensation Range: 

• $140,800 - $176,000

*This is a hybrid role

JR: 2026-7538

#LI-Hybrid

We are looking for a Senior Software Engineer who is passionate about startups fueling the next wave of AI innovation. 

We are seeking a highly experienced and motivated Senior Software Engineer to join our Security Products team. In this pivotal role, you will be instrumental in designing, building, and maintaining robust security products and infrastructure that protect Digital Ocean's platform and our customers' data. This is an exciting opportunity for an individual who thrives in a fast-paced environment and is passionate about solving complex security challenges at scale.

What you’ll do

• Design and develop real-time security detection engines using Apache Flink and Kafka for threat detection at cloud scale
• Build high-performance security APIs and microservices using Go and JavaScript/Node.js
• Implement streaming analytics for security event correlation, anomaly detection, and threat intelligence
• Architect and implement security solutions running on Kubernetes at hyperscale
• Develop security data pipelines processing petabytes of logs, network traffic, and telemetry data
• Lead technical design for complex security platform features from conception to production
• Collaborate with security researchers, threat analysts, and cloud platform teams
• Mentor junior engineers on security engineering best practices and cloud-native development

What we’ll expect from you

• 5+ years of experience in software engineering, with significant exposure to building products at security companies or within security functions.
• Expert-level Go and strong JavaScript/Node.js skills
• Proven track record of designing and implementing high-throughput, scalable systems with large data requirements
• Deep understanding of distributed systems: consensus, replication, partitioning, and consistency - Production Apache Flink and advanced Kafka experience processing high-volume event streams.
• Deep Kubernetes expertise running security-critical workloads at scale
• Cloud platform experience (AWS, GCP, Azure) with understanding of cloud security models, infrastructure as Code expertise (Terraform, Helm, Chef)
• Experience building systems handling millions of events per second
• Familiarity with various security tools and technologies (e.g., SIEM, WAF, IDS/IPS, vulnerability scanners).
• Excellent problem-solving, analytical, and communication skills.
• Ability to thrive in a fast-paced, dynamic, and rapidly evolving environment.

Nice to Have

• Experience with distributed systems and microservices architectures.
• Knowledge of cryptography and secure communication protocols.
• Contributions to open-source security projects.

Compensation Range: 

• $140,800 - $176,000

*This is a remote role.

JR: 2026-7538

#LI-Remote

We are looking for a Senior Software Engineer who is passionate about startups fueling the next wave of AI innovation. 

We are seeking a highly experienced and motivated Senior Software Engineer to join our Security Products team. In this pivotal role, you will be instrumental in designing, building, and maintaining robust security products and infrastructure that protect Digital Ocean's platform and our customers' data. This is an exciting opportunity for an individual who thrives in a fast-paced environment and is passionate about solving complex security challenges at scale.

What you’ll do

• Design and develop real-time security detection engines using Apache Flink and Kafka for threat detection at cloud scale
• Build high-performance security APIs and microservices using Go and JavaScript/Node.js
• Implement streaming analytics for security event correlation, anomaly detection, and threat intelligence
• Architect and implement security solutions running on Kubernetes at hyperscale
• Develop security data pipelines processing petabytes of logs, network traffic, and telemetry data
• Lead technical design for complex security platform features from conception to production
• Collaborate with security researchers, threat analysts, and cloud platform teams
• Mentor junior engineers on security engineering best practices and cloud-native development

What we’ll expect from you

• 5+ years of experience in software engineering, with significant exposure to building products at security companies or within security functions.
• Expert-level Go and strong JavaScript/Node.js skills
• Proven track record of designing and implementing high-throughput, scalable systems with large data requirements
• Deep understanding of distributed systems: consensus, replication, partitioning, and consistency - Production Apache Flink and advanced Kafka experience processing high-volume event streams.
• Deep Kubernetes expertise running security-critical workloads at scale
• Cloud platform experience (AWS, GCP, Azure) with understanding of cloud security models, infrastructure as Code expertise (Terraform, Helm, Chef)
• Experience building systems handling millions of events per second
• Familiarity with various security tools and technologies (e.g., SIEM, WAF, IDS/IPS, vulnerability scanners).
• Excellent problem-solving, analytical, and communication skills.
• Ability to thrive in a fast-paced, dynamic, and rapidly evolving environment.

Nice to Have

• Experience with distributed systems and microservices architectures.
• Knowledge of cryptography and secure communication protocols.
• Contributions to open-source security projects.

Compensation Range: 

• $140,800 - $176,000

*This is a remote role.

JR: 2026-7538

#LI-Remote

We are seeking a highly experienced and motivated Senior Software Engineer to join our Security Products team. In this pivotal role, you will be instrumental in designing, building, and maintaining robust security products and infrastructure that protect Digital Ocean's platform and our customers' data. This is an exciting opportunity for an individual who thrives in a fast-paced environment and is passionate about solving complex security challenges at scale.

What you’ll do

• Design and develop real-time security detection engines using Apache Flink and Kafka for threat detection at cloud scale
• Build high-performance security APIs and microservices using Go and JavaScript/Node.js
• Implement streaming analytics for security event correlation, anomaly detection, and threat intelligence
• Architect and implement security solutions running on Kubernetes at hyperscale
• Develop security data pipelines processing petabytes of logs, network traffic, and telemetry data
• Lead technical design for complex security platform features from conception to production
• Collaborate with security researchers, threat analysts, and cloud platform teams
• Mentor junior engineers on security engineering best practices and cloud-native development

What we’ll expect from you

• 5+ years of experience in software engineering, with significant exposure to building products at security companies or within security functions.
• Expert-level Go and strong JavaScript/Node.js skills
• Proven track record of designing and implementing high-throughput, scalable systems with large data requirements
• Deep understanding of distributed systems: consensus, replication, partitioning, and consistency - Production Apache Flink and advanced Kafka experience processing high-volume event streams.
• Deep Kubernetes expertise running security-critical workloads at scale
• Cloud platform experience (AWS, GCP, Azure) with understanding of cloud security models, infrastructure as Code expertise (Terraform, Helm, Chef)
• Experience building systems handling millions of events per second
• Familiarity with various security tools and technologies (e.g., SIEM, WAF, IDS/IPS, vulnerability scanners).
• Excellent problem-solving, analytical, and communication skills.
• Ability to thrive in a fast-paced, dynamic, and rapidly evolving environment.

Nice to Have

• Experience with distributed systems and microservices architectures.
• Knowledge of cryptography and secure communication protocols.
• Contributions to open-source security projects.

Compensation Range: 

• $133,680.00 - $167,100.00

*This is a remote role

#LI-Remote

We are seeking a highly experienced and motivated Senior Software Engineer to join our Security Products team. In this pivotal role, you will be instrumental in designing, building, and maintaining robust security products and infrastructure that protect Digital Ocean's platform and our customers' data. This is an exciting opportunity for an individual who thrives in a fast-paced environment and is passionate about solving complex security challenges at scale.

What you’ll do

• Design and develop real-time security detection engines using Apache Flink and Kafka for threat detection at cloud scale
• Build high-performance security APIs and microservices using Go and JavaScript/Node.js
• Implement streaming analytics for security event correlation, anomaly detection, and threat intelligence
• Architect and implement security solutions running on Kubernetes at hyperscale
• Develop security data pipelines processing petabytes of logs, network traffic, and telemetry data
• Lead technical design for complex security platform features from conception to production
• Collaborate with security researchers, threat analysts, and cloud platform teams
• Mentor junior engineers on security engineering best practices and cloud-native development

What we’ll expect from you

• 5+ years of experience in software engineering, with significant exposure to building products at security companies or within security functions.
• Expert-level Go and strong JavaScript/Node.js skills
• Proven track record of designing and implementing high-throughput, scalable systems with large data requirements
• Deep understanding of distributed systems: consensus, replication, partitioning, and consistency - Production Apache Flink and advanced Kafka experience processing high-volume event streams.
• Deep Kubernetes expertise running security-critical workloads at scale
• Cloud platform experience (AWS, GCP, Azure) with understanding of cloud security models, infrastructure as Code expertise (Terraform, Helm, Chef)
• Experience building systems handling millions of events per second
• Familiarity with various security tools and technologies (e.g., SIEM, WAF, IDS/IPS, vulnerability scanners).
• Excellent problem-solving, analytical, and communication skills.
• Ability to thrive in a fast-paced, dynamic, and rapidly evolving environment.

Nice to Have

• Experience with distributed systems and microservices architectures.
• Knowledge of cryptography and secure communication protocols.
• Contributions to open-source security projects.

Compensation Range: 

• $133,680.00 - $167,100.00

*This is a remote role

#LI-Remote

We are seeking a highly experienced and motivated Senior Software Engineer to join our Security Products team. In this pivotal role, you will be instrumental in designing, building, and maintaining robust security products and infrastructure that protect Digital Ocean's platform and our customers' data. This is an exciting opportunity for an individual who thrives in a fast-paced environment and is passionate about solving complex security challenges at scale.

What you’ll do

• Design and develop real-time security detection engines using Apache Flink and Kafka for threat detection at cloud scale
• Build high-performance security APIs and microservices using Go and JavaScript/Node.js
• Implement streaming analytics for security event correlation, anomaly detection, and threat intelligence
• Architect and implement security solutions running on Kubernetes at hyperscale
• Develop security data pipelines processing petabytes of logs, network traffic, and telemetry data
• Lead technical design for complex security platform features from conception to production
• Collaborate with security researchers, threat analysts, and cloud platform teams
• Mentor junior engineers on security engineering best practices and cloud-native development

What we’ll expect from you

• 5+ years of experience in software engineering, with significant exposure to building products at security companies or within security functions.
• Expert-level Go and strong JavaScript/Node.js skills
• Proven track record of designing and implementing high-throughput, scalable systems with large data requirements
• Deep understanding of distributed systems: consensus, replication, partitioning, and consistency - Production Apache Flink and advanced Kafka experience processing high-volume event streams.
• Deep Kubernetes expertise running security-critical workloads at scale
• Cloud platform experience (AWS, GCP, Azure) with understanding of cloud security models, infrastructure as Code expertise (Terraform, Helm, Chef)
• Experience building systems handling millions of events per second
• Familiarity with various security tools and technologies (e.g., SIEM, WAF, IDS/IPS, vulnerability scanners).
• Excellent problem-solving, analytical, and communication skills.
• Ability to thrive in a fast-paced, dynamic, and rapidly evolving environment.

Nice to Have

• Experience with distributed systems and microservices architectures.
• Knowledge of cryptography and secure communication protocols.
• Contributions to open-source security projects.

Compensation Range: 

• $133,680.00 - $167,100.00

*This is a remote role

#LI-Remote

We are seeking a highly experienced and motivated Senior Software Engineer to join our Security Products team. In this pivotal role, you will be instrumental in designing, building, and maintaining robust security products and infrastructure that protect Digital Ocean's platform and our customers' data. This is an exciting opportunity for an individual who thrives in a fast-paced environment and is passionate about solving complex security challenges at scale.

What you’ll do

• Design and develop real-time security detection engines using Apache Flink and Kafka for threat detection at cloud scale
• Build high-performance security APIs and microservices using Go and JavaScript/Node.js
• Implement streaming analytics for security event correlation, anomaly detection, and threat intelligence
• Architect and implement security solutions running on Kubernetes at hyperscale
• Develop security data pipelines processing petabytes of logs, network traffic, and telemetry data
• Lead technical design for complex security platform features from conception to production
• Collaborate with security researchers, threat analysts, and cloud platform teams
• Mentor junior engineers on security engineering best practices and cloud-native development

What we’ll expect from you

• 5+ years of experience in software engineering, with significant exposure to building products at security companies or within security functions.
• Expert-level Go and strong JavaScript/Node.js skills
• Proven track record of designing and implementing high-throughput, scalable systems with large data requirements
• Deep understanding of distributed systems: consensus, replication, partitioning, and consistency - Production Apache Flink and advanced Kafka experience processing high-volume event streams.
• Deep Kubernetes expertise running security-critical workloads at scale
• Cloud platform experience (AWS, GCP, Azure) with understanding of cloud security models, infrastructure as Code expertise (Terraform, Helm, Chef)
• Experience building systems handling millions of events per second
• Familiarity with various security tools and technologies (e.g., SIEM, WAF, IDS/IPS, vulnerability scanners).
• Excellent problem-solving, analytical, and communication skills.
• Ability to thrive in a fast-paced, dynamic, and rapidly evolving environment.

Nice to Have

• Experience with distributed systems and microservices architectures.
• Knowledge of cryptography and secure communication protocols.
• Contributions to open-source security projects.

Compensation Range: 

• $133,680 - $167,100

*This is a hybrid role

JR: 2025-7355

#LI-Hybrid

We are seeking a highly experienced and motivated Senior Software Engineer to join our Security Products team. In this pivotal role, you will be instrumental in designing, building, and maintaining robust security products and infrastructure that protect Digital Ocean's platform and our customers' data. This is an exciting opportunity for an individual who thrives in a fast-paced environment and is passionate about solving complex security challenges at scale.

What you’ll do

• Design and develop real-time security detection engines using Apache Flink and Kafka for threat detection at cloud scale
• Build high-performance security APIs and microservices using Go and JavaScript/Node.js
• Implement streaming analytics for security event correlation, anomaly detection, and threat intelligence
• Architect and implement security solutions running on Kubernetes at hyperscale
• Develop security data pipelines processing petabytes of logs, network traffic, and telemetry data
• Lead technical design for complex security platform features from conception to production
• Collaborate with security researchers, threat analysts, and cloud platform teams
• Mentor junior engineers on security engineering best practices and cloud-native development

What we’ll expect from you

• 5+ years of experience in software engineering, with significant exposure to building products at security companies or within security functions.
• Expert-level Go and strong JavaScript/Node.js skills
• Proven track record of designing and implementing high-throughput, scalable systems with large data requirements
• Deep understanding of distributed systems: consensus, replication, partitioning, and consistency - Production Apache Flink and advanced Kafka experience processing high-volume event streams.
• Deep Kubernetes expertise running security-critical workloads at scale
• Cloud platform experience (AWS, GCP, Azure) with understanding of cloud security models, infrastructure as Code expertise (Terraform, Helm, Chef)
• Experience building systems handling millions of events per second
• Familiarity with various security tools and technologies (e.g., SIEM, WAF, IDS/IPS, vulnerability scanners).
• Excellent problem-solving, analytical, and communication skills.
• Ability to thrive in a fast-paced, dynamic, and rapidly evolving environment.

Nice to Have

• Experience with distributed systems and microservices architectures.
• Knowledge of cryptography and secure communication protocols.
• Contributions to open-source security projects.

Compensation Range: 

• $133,680.00 - $167,100.00

*This is a remote role

#LI-Remote

Distributed Systems engineers at Datadog design, implement and run in production the foundational platforms powering our applications. Your data pipelines will ingest, store, analyze and query in real-time billions of events per second from companies all over the globe. The platforms are optimized for durability, high availability, low latency, internet-scale footprint and operability. 

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

What You’ll Do:

• Build fault-tolerant, horizontally scalable solutions running in multi-tenant environments
• Write in Go, Java Rust or C++, amongst other languages
• Use Kafka, Redis, Cassandra, Elasticsearch and other open-source components
• Own meaningful parts of our service, have an impact, grow with the company
  
  

Who You Are:

• 6+ years of experience
• You have a BS/MS/PhD in a scientific field or equivalent experience
• You have significant backend programming experience in one or more languages (Go, Java, Rust, C++) 
• You have been exposed to working on problems (high durability / low latency /…)
• You can get down to the low-level when needed
• You care about simple designs and performance
• You want to work in a fast, high-growth startup environment that respects its engineers and customers
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

This job is available in various departments within our company; to conform to US export control regulations, some of these roles may require candidates to be eligible for any required authorizations from the US government.

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

Benefits and Growth:

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

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

#LI-LB1

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

Role Overview

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

Responsibilities

• Design, build, and maintain a global, distributed, and resilient cloud infrastructure.
• Collaborate with AI engineering and iPaaS  engineering teams to plan and deliver complex platform initiatives.
• Patch and optimize open-source components for performance and security.
• Build iPaaS and AI infrastructure at scale and cross-cloud.
• Manage and provision AWS infrastructure using Terraform and Kubernetes.
• Write and maintain Kubernetes manifests and deployment configurations for critical workloads.
• Improve and maintain CI/CD pipelines for scalable and secure component delivery.
• Tune Linux systems and open-source software for high performance and hardened security.
• Build internal tools to streamline engineering workflows and operational automation.
• Participate in architecture reviews, incident response, and performance analysis to ensure system reliability.

Requirements

• 7+ years of experience in infrastructure or systems engineering roles.
• Proven expertise in distributed systems and cloud-native architectures.
• Strong understanding of Linux internals, including networking and system-level performance tuning.
• Experience operating infrastructure on AWS at scale.
• Proficiency with Terraform, Kubernetes. 
• Solid understanding of network security and cloud security best practices.
• Hands-on experience optimizing CI/CD workflows and automating deployments.
• Excellent analytical, troubleshooting, and communication skills.

Nice to Have

• Experience with Golang for tooling or internal services.
• Experience building cross-cloud AI infrastructure.
• Familiarity with Kafka, Redis, ClickHouse, PostgreSQL, or similar technologies.
• Experience with observability tools such as Grafana, Prometheus, or VictoriaMetrics.
• Understanding of Vault or other secrets management systems.
• Contributions to or maintenance of open-source infrastructure projects.
  
  

Tech Stack

• AWS • Terraform • Kubernetes •  LiteLLM • Quadrant • ArgoCD • Kafka • PostgreSQL • Redis • ClickHouse • Grafana • VictoriaMetrics • Vault

Why Join Us

• Build and operate a world-class cloud platform used by leading global enterprises.
• Collaborate with experienced engineers in the US and across international teams.
• Work in a highly technical environment focused on scalability, performance, and reliability.
• Contribute to an engineering culture that values ownership, craftsmanship, and innovation.

This is a full-time position with a salary range of $180,000.00 - $240,000.00 per year, depending on experience and qualifications. The package includes health insurance, paid time off, and a 401(k) plan.

At Compass International Holdings (CIH), we connect buyers and sellers with the right agents at the right time. The Lead Nurturing & Engagement team is responsible for keeping leads warm and actionable before they are assigned to an agent — ensuring no qualified lead goes cold due to slow response, lack of follow-up, or poor timing. We own the full pre-CRM nurturing funnel: from the moment a lead enters the system to the moment it is ready to be handed off to an agent.

As a Senior Software Engineer on this team, you will design and build the systems that power automated re-engagement flows, unclaimed lead management, human-assisted concierge experiences via AWS Connect, and lead readiness scoring. Your work directly impacts how many leads convert to closed transactions — making this one of the highest-leverage engineering roles on the Leads platform.

At Compass, You Will: 

• Design and build the pre-CRM nurturing pipeline — automated flows that move leads from cold → warm → hot before agent assignment
• Own and operate the AWS Connect integration — the human-assisted concierge experience that handles complex or high-value leads requiring live engagement
• Build and maintain unclaimed lead management — automated escalation, retry, and re-engagement for leads that have not yet been matched to an agent
• Develop lead readiness scoring — the signals and models that determine when a lead is "hot enough" for agent assignment
• Architect automated nurture sequences across SMS, email, and voice channels, coordinating with our communications platform
• Collaborate with data and ML teams to incorporate behavioral signals and conversion predictions into nurturing decisions
• Operate in a scalable engineering culture that leverages modern principles of decoupled systems and automated CI/CD/testing/monitoring

What We Look For: 

• BS in Computer Science, Software Engineering, or equivalent practical experience
• 7+ years of experience developing comprehensive, well-tested, and high-performance software applications with languages Python or NodeJS 
• Experience with gRPC, Thrift, and other server-to-server communication protocols
• Experience with Kafka and event-driven systems — particularly for building stateful automation pipelines and re-engagement flows
• 3+ years using AWS / cloud technologies
• High proficiency designing and implementing microservices that are well tested, fault tolerant, and scalable
• Understanding and adherence to industry-standard best practices in software development and architecture
• Believes in good software development requiring thorough testing, robust resiliency features, effective monitoring capabilities, comprehensive documentation, and close collaboration
• Experience with Scrum/Agile development methodologies
• Strong critical thinking skills, great communication skills, and passion for operational excellence

Preferred Qualifications

• AWS Connect or similar experience: Prior experience building on or integrating with AWS Connect, Twilio Flex, Genesys, or similar Contact Center as a Service platforms — including call flows, agent routing, and real-time event handling
• Lead lifecycle and CRM systems: Familiarity with CRM platforms (Salesforce, HubSpot, or similar) and how leads flow through lifecycle stages from first contact to close; ability to design clean ownership boundaries between nurturing and CRM systems
• Engagement automation pipelines: Experience building automated outreach pipelines — nurture sequences, drip campaigns, or re-engagement flows — triggered by behavioral signals across SMS, email, and voice channels
• Lead scoring or ML-based ranking: Experience working with or building scoring models that rank or classify leads by intent, readiness, or conversion probability
• Communication platform integration: Hands-on experience with Twilio, Sinch, Amazon Pinpoint, or similar platforms for programmatic SMS, MMS, email, and voice delivery at scale
• Real estate or proptech domain knowledge: Familiarity with real estate transaction flows, agent-consumer interactions, or lead-to-close lifecycle
• AI agent development: Familiarity with agentic AI frameworks (LangChain, LlamaIndex, AutoGen, or similar) for building autonomous or semi-autonomous workflows — such as AI-assisted concierge routing or automated follow-up decision-making
• AI and LLM integration: Experience integrating large language models (LLMs) or AI APIs (OpenAI, Anthropic, AWS Bedrock) into production systems — particularly for personalizing outreach content, generating dynamic nurture sequences, or powering conversational engagement flows
• Experience with Python or NodeJS development

Compensation: The base pay range for this position is $176,000-$196,100; however, base pay offered may vary depending on job-related knowledge, skills, and experience. Bonuses and restricted stock units may be provided as part of the compensation package, in addition to a full range of benefits. Base pay is based on market location. Minimum wage for the position will always be met.

Why You Should Join the Email Platforms Team:

The Email Platforms team at Klaviyo is building the next generation of infrastructure to support reliable, scalable, and performant email delivery. Our mission is to help Klaviyo reach enterprise scale by evolving and owning our email sending pipeline end-to-end. We're investing heavily in our homegrown email delivery infrastructure, giving us greater control, performance, and reliability in how we deliver emails for some of the largest brands in the world.

You’ll join a high-impact, high-ownership team tackling technical challenges around high-throughput systems, distributed messaging, and service performance at scale. Our work directly impacts customer satisfaction and business success. If you’re excited about email infrastructure, systems design, and high-scale backend development in Go, this is the role for you.

How You Will Make a Difference:

• Own and drive key components of the email pipeline architecture
• Design and implement scalable, high-throughput services in Go
• Develop systems that manage message queues and email delivery
• Help ensure our systems scale with customer growth, especially as we bring on larger enterprise accounts
• Collaborate cross-functionally to ensure the highest standards of performance, reliability, and deliverability
• Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.

Who You Are:

• Senior-level backend engineer with strong systems design skills
• Proficient in Go (required). experience with Python is a plusExperienced working with high-throughput distributed systems
• Familiar with message queues (e.g., Pulsar, Kafka, RabbitMQ, SQS)
• Bonus: Experience with email infrastructure, MTAs, deliverability, or mailops
• Comfortable working independently on projects from design through production
• Able to thrive in a mostly remote team and deliver in a high-autonomy environment
• 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.

Technologies We Use:

• Languages: Go, Python
• Infrastructure: AWS, DynamoDB, Kubernetes, Terraform

Frameworks: Gin (Go), Django (Python)

• Messaging: Pulsar, Kafka, other message queues
• Email Systems: MTA’s (GreenArrow), Proxy servers, email deliverability tools, monitoring tools

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

About the Role

Klaviyo is looking for a Software Engineer II to join the Flows Platform team. In this role, you will help build and operate the core engine that powers all automated lifecycle programs at Klaviyo. You’ll play a critical part in delivering robust, high-scale backend solutions that process billions of events, send millions of messages, and ensure our customers’ automations run reliably and without delay.

As a Software Engineer II, you’ll tackle complex challenges, explore multiple solutions, and weigh business and technical trade-offs to determine the best path forward. You’ll actively contribute to team discussions and help shape important technology decisions. You'll also be responsible for shipping well-designed, thoroughly tested solutions that prioritize reliability and performance.

On the Flows Platform team, we focus on the core of Klaviyo’s automation engine, ensuring that hundreds of millions of actions per day are processed accurately and efficiently to power user workflows. Our work revolves around the core backend systems that determine who receives a message and when, handling complex logic for triggering, filtering, and scheduling at massive scale. We also manage the data stores and infrastructure that support these operations, ensuring reliability while we actively re-architect our stack to support the next generation of event-driven features.

We are responsible for:

• Core Execution Engine: The logic for flow triggering, evaluation (filtering/branching), and action execution. We ensure that every event is processed accurately and efficiently.
• Scheduling & Orchestration: Managing time-based logic, delays, and the dispatching of millions of scheduled actions per day.
• High-Scale Infrastructure: Owning the execution data stores and pipelines that must run reliably at huge scale.

Collaboration is key to what we do. We actively partner with engineering teams across the organization, giving us exposure to diverse parts of the product and opportunities to impact various projects. This keeps us engaged with a variety of challenges and solutions, as we’re always learning and evolving.

What We’re Looking For

• 3+ years of experience in a software engineering role with a focus on backend systems and high-volume data processing.
• Strong Backend proficiency: Deep experience building robust services and APIs using Python and Django (or similar frameworks).
• Distributed Systems knowledge and experience working with asynchronous task queues (e.g. Celery, RabbitMQ, Pulsar) and understanding the challenges of eventual consistency and distributed state.
• Proficiency with relational databases (MySQL/Aurora) and high-scale NoSQL stores (Redis, or DynamoDB).
• A focus on writing clean, maintainable code, participating in code reviews, and leading robust testing practices (unit, integration, and load testing).
• Experience working in fast-paced environments and collaborating with other engineering teams to solve cross-functional problems.
• Experience using AI coding tools like Claude Code or Cursor to accelerate development.

Nice to Have

• Experience with Event-Driven Architecture and streaming technologies like Pulsar or Kafka.
• Experience with Infrastructure as Code (Terraform) and container orchestration (Kubernetes).
• Experience creating technical designs for complex features or system migrations.
• Background in building platforms that support other engineering teams.
• Experience building cloud-native solutions, ideally on AWS

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

Team overview

The Core Infrastructure – Identity & Organizations (Core IO) pillar owns the foundational substrate for identity, access, organizations, and platform integrity at Klaviyo. We manage the critical path of the user journey from login, to enforcing permissions, to operating within the correct organization and regional context so that the rest of the platform can move fast and stay secure.

Within Core IO, the Identity & Access Management (IAM) team builds and operates Klaviyo’s centralized authentication and authorization platform for both humans and machines. We power login, SSO, MFA, SCIM, internal service auth, and external API auth, and we are in the middle of transforming Klaviyo’s identity stack into a unified, enterprise-grade platform.

Why this role is exciting

• Shape Klaviyo’s identity platform: You’ll help design and build the services that every product team and customer relies on login, sessions, permissions, and secure service APIs are all on your roadmap.
• High-leverage, platform-level impact: Your work will directly affect engineering velocity (auth as a shared service), Enterprise deal wins (SSO/SCIM/RBAC/ReBAC), and Data Residency (region-aware auth flows).
• Deep systems and security learning: You’ll work on distributed systems, modern IdP integration, machine auth, and secure-by-default patterns with strong mentorship and meaningful ownership.

What you’ll do

As a Software Engineer II on the IAM team, you will:

• Own features end-to-end across design, implementation, rollout, and observability for core authN/Z capabilities such as login flows, MFA, SSO enhancements, SCIM, sessions, and role/permission enforcement.
• Contribute to auth platform extraction: Help move authentication and authorization paths out of the legacy monolith into dedicated micro services, including token verification, API key services, and internal service auth behind Kong and IdP platform.
• Build and maintain shared SDKs and contracts that let internal teams adopt IAM services quickly (OAuth, machine auth, org-scoped authZ), making “secure by default” the simplest option for new surfaces and agents.
• Collaborate with Organizations & Accounts to support org-scoped identity, multi-account SSO, and flexible org/account models that underpin enterprise experiences and cross-account analytics.
• Partner with Platform Integrity & Protection (PAA), Security, and Compliance on secure patterns for account protection (MFA, recovery, device/session risk), ensuring IAM is a strong foundation for account security and anti-abuse controls.
• Improve reliability and performance of IAM services by instrumenting metrics and alerts, debugging production issues, and contributing to on-call rotations and incident reviews.
• Help define and refine standards for authentication and authorization across the platform APIs, error semantics, audit logging, and integration patterns so product teams don’t reinvent them per-service.

Who you are

You are a mid-level software engineer who has shipped and supported production systems, and who wants to specialize in identity, security, and platform infrastructure.

• Experienced systems builder: You have 2-5+ years of professional software engineering experience, including building and operating backend or full-stack services in production.
• Strong fundamentals & debugging skills: You are comfortable reasoning about data models, API design, concurrency, and failure modes, and you can dig through logs, metrics, and traces to identify root causes and implement systemic fixes.
• Security & identity motivated: You’re excited by authentication, authorization, and account security problems and want to deepen your expertise in areas like MFA, SSO, SCIM, OAuth, and roles/permissions.
• Platform/infra mindset: You like building reusable services and tools that other engineers rely on, including libraries, SDKs, and patterns that raise the floor for quality and security across the org.
• Ownership & collaboration: You take responsibility for outcomes, not just code. You’re comfortable driving a small project or component, coordinating with partner teams, and communicating trade-offs clearly in design docs and PRs.
• 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.

Minimum qualifications

• 2-5+ years of professional software engineering experience.
• Proficiency in at least one of Python, Go, or TypeScript/JavaScript, and comfort working on backend and/or service-oriented systems.
• Experience building or operating web services or APIs backed by relational databases and/or caches (e.g., MySQL, Postgres, Redis).
• Familiarity with authentication or authorization concepts (sessions, tokens, OAuth, SSO, MFA, RBAC) and an interest in going much deeper.
• Exposure to CI/CD pipelines and modern development workflows (code review, testing, deployments, on-call participation or support).

Nice to have

You don’t need all of these, but experience in any of the following is a bonus:

• Building or integrating with IdPs and identity protocols (SAML/OIDC, enterprise SSO, SCIM, OAuth, API key management).
• Working with cloud-native infrastructure (AWS, Kubernetes, Terraform, Kong, or similar API gateways and service meshes).
• Experience with high-scale distributed systems or performance-sensitive services where availability and latency targets matter (e.g., auth endpoints, org lookups, internal service auth).
• Familiarity with observability stacks (Grafana, Datadog/Splunk, internal metrics/logging frameworks) and using them to drive reliability improvements.
• Interest or experience in adjacent Core IO domains like Organizations & Accounts or Platform Anti-Abuse (PAA), especially where they intersect with auth and account security.

Technologies we use (not exhaustive)

You’ll work with some of these on day one and have opportunities to learn the rest:

• Languages & frameworks: Python, Django, Go, TypeScript/React.
• Identity & access: OAuth, API keys, SSO, SCIM, MFA, roles & permissions, internal service auth SDKs.
• Infrastructure & platform: AWS, Kubernetes, Terraform, Kong, microservice platform for auth and organizations.

Data & observability: MySQL, Redis, Kafka/queues, Grafana, Splunk, internal logging/metrics pipelines.

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

About the Role

Klaviyo is looking for a Full Stack Engineer to support key initiatives that enhance our product offerings and drive company growth. In this role, you'll play a critical part in delivering end-to-end solutions using both front-end and back-end technologies. You’ll improve existing products and develop new capabilities that push the boundaries of what’s possible for our customers.

As a Software Engineer II, you’ll tackle complex challenges, explore multiple solutions, and weigh business and technical trade-offs to determine the best path forward. You’ll actively contribute to team discussions and help shape important technology decisions. You'll also be responsible for shipping well-designed, thoroughly tested solutions that prioritize reliability and performance.

On the Flows Insight & Management team, we focus on crafting an exceptional user experience for the Flows product area which empowers users to build, manage, and analyze automated workflows seamlessly. Our work revolves around an intuitive visual editor that lets users create and modify flows with ease, as well as the rich insights and analytics that help them understand how their flows are performing. We also manage APIs that integrate with other services, creating a powerful ecosystem for users to drive automation in new and exciting ways.

Collaboration is key to what we do. We actively partner with engineering teams across the organization, giving us exposure to diverse parts of the product and opportunities to impact various projects. This keeps us engaged with a variety of challenges and solutions, as we’re always learning and evolving.

Looking to the future, our team is focused on expanding the capabilities of Flows. We’ll be enhancing our flow editor and ecosystem to make it even easier to build and expand on flows. We’re also building smarter recommendations and actionable insights to help users optimize their flows. With our continued evolution, we envision Flows not just as a tool, but as a platform that empowers teams to do more, build more, and connect seamlessly.

About the Team

^{The Flows Insight & Management team owns how customers design, understand, and manage automated lifecycle programs across channels like Email, SMS, and WhatsApp. We are responsible for:}

• ^{The Flows User Experience: Building an intuitive visual editor, staff-side management tools, and the analytics previews that allow users to create and modify flows with ease.}

• ^{Developer APIs: Managing the configuration and APIs that handle creating, editing, cloning, and versioning flows.}

• ^{Analytics & Reporting: Delivering rich insights, node-level metrics, and revenue/conversion analytics that help users understand exactly how their automations are performing.}

• ^{Looking to the future, we are focused on expanding the flow editor ecosystem and building smarter recommendations and actionable insights to help users optimize their strategies.}

What We’re Looking For

• 3+ years of experience in a software engineering role with a proven track record of building high-quality products.
• Strong Full Stack proficiency: Experience building end-to-end solutions using Python and Django on the backend, and React and TypeScript on the frontend.
• API Design experience: Ability to design and maintain robust RESTful APIs (experience with developer-facing APIs is a plus).
• Infrastructure & Database knowledge: Familiarity with relational databases (MySQL/Aurora) and exposure to cloud infrastructure, specifically AWS.
• Engineering best practices: A focus on writing clean, maintainable code, participating in code reviews, and leading robust testing practices.
• Agile collaboration: Experience working in fast-paced environments and partnering effectively with Product and Design teams.
• Experience using AI coding tools like Claude Code or Cursor to accelerate development.

Nice to Have

• Experience with infrastructure as code, such as Terraform.
• Familiarity with asynchronous task queues and event-driven architecture (Pulsar, Kafka, RabbitMQ, Celery).
• Background in digital marketing, customer data software, or building analytics products.
• Exposure to machine learning concepts, as we work towards building smarter recommendations for our users.
• Experience building cloud-native solutions, ideally on AWS.

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, we love tackling tough engineering problems and look for engineers who specialize in certain areas but are passionate about building, owning & scaling features end to end from scratch and breaking through any obstacle or technical challenge in their way. We push each other to move out of our comfort zone, learn new technologies and work hard to ensure each day is better than the last.

Team Overview:

Klaviyo operates a real-time data analytics platform written primarily in Python that is built for massive scale and hosted on Amazon Web Services (AWS). The Data Automation team builds tooling and establishes best practices and technology choices that help enable the Data Platform area to power core Klaviyo functionality and generate data-driven insights.

As a founding member on the Data Automation team, you will have ownership over defining the technical and organizational vision for the team. You will be responsible for leading the team to design and build systems that help us operate our mission critical analytics infrastructure.

Team Tech Stack:

• AWS
• Terraform
• Python
• Kubernetes
• Clickhouse
• DynamoDB
• MySQL
• Kafka
• Spark
• Flink
• Airflow

How You'll Make a Difference

• You will be responsible for building and managing a team of 7+ engineers to fulfill your data automation vision and roadmap.
• Responsible for coaching engineers, managing/reviewing technical documentation and articulating a phased approach to achieving the team's overall technical vision.
• Be responsible for the mission, technical direction and operations of projects that have immediate impact.
• Wholly owning the frameworks that enable us to provision, update, test, monitor, and scale infrastructure to power features that 183,000+ customers rely on daily to reach 4B+ consumers to drive their business forward.
• Optimizing infrastructure with the teams that own Klaviyo’s analytics system that provides insight on hundreds of terabytes of data.
• Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.

Required Skills

• BA or BS Degree in Computer Science, related field, or equivalent experience
• 8+ years of software engineering experience in a DevOps environment with specific experience in data processing systems.
• 3+ years of people management experience
• Hands-on experience designing, building, and operating reliable, fault-tolerant, and high performance distributed systems
• Ability to handle yourself in outage situations and to drive failures to root cause analysis and prevention of future issues
• Experience writing code using best practices in a language such as Python, Ruby, Go, etc.
• 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.
• Proven ability to come up to speed quickly
• Hybrid office work 3x/week out of our Boston office

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

Team Overview:

The mission of the Asynchronous Processing team is to design, build, and operate Klaviyo’s high-scale, event-driven backbone so that every product team can reliably move data through our systems with confidence, no matter the volume. By providing opinionated, self-service platforms for queueing and background processing–grounded in technologies like Golang, Python, Apache Pulsar, Kafka, SQS, AWS, and Kubernetes–we enable engineering teams to focus on customer impact while we ensure their workloads are fast, observable, cost-efficient, and resilient by default.

As a Senior Platform Engineer on the Asynchronous Processing team, you will architect, build, and operate the large-scale, event-driven backbone that powers Klaviyo, crafting paved-path primitives on top of Golang, Python, Apache Pulsar, Kafka, and SQS running in AWS and Kubernetes. You’ll design and evolve resilient, multi-tenant queueing and processing platforms that safely handle massive spikes in traffic, process millions of messages per second with low latency, and provide simple, self-service APIs and tooling that enable product teams to move fast and with confidence. From core data models and routing patterns to observability, autoscaling, and failure isolation, you’ll own systems that must be rock solid at scale, partnering closely with engineers across the company to turn complex distributed-systems problems into intuitive, reliable building blocks.

This role is for senior engineers who love taming large-scale distributed systems and turning real-world asynchronous workloads into reliable, scalable platforms. You’ll work on highly visible infrastructure at the heart of Klaviyo’s event-driven backbone, directly shaping how thousands of Klaviyos build, ship, and operate products every day.

How You’ll Make an Impact:

The Asynchronous Processing team builds and operates Klaviyo’s high-scale, event-driven backbone that powers reliable, low-latency async workloads for every product team. As a Senior Platform Engineer on the Asynchronous Processing team, you will:

• Build a deep understanding of engineering needs across the organization, guiding the design and development of appropriate platform primitives in queueing that align with the platform's vision and practically empower product teams.
• Design, develop, and deliver software to dramatically improve the availability, scalability, latency, and efficiency of Klaviyo's asynchronous and queueing services.
• Design and develop systems and processes that enable highly available & scalable systems, with a focus on asynchronous processing.
• Leverage technology such as Python, Golang, AWS, and Kubernetes to advance Klaviyo's platform, with a deep focus on Apache Pulsar, SQS, and Kafka. 
• Champion best practices by actively collaborating with other teams in a culture that values technical design review.
• Mentor and pair with other Klaviyo engineers to build better software by focusing on performance, self-healing systems, configuration as code, and defensive programming.
• Participate in periodic on-call duties with a focus on solving issues when they are discovered, preventing recurrences and minimizing alert fatigue.

Who You Are:

• You are passionate about building software effectively and for the long term, balancing technical quality, velocity, and business impact.
• BA or BS Degree in Computer Science, related field, or equivalent experience.
• You typically bring 6+ years of hands-on software development experience building and operating highly available, full-stack SaaS products at scale, or have demonstrated equivalent proficiency and impact.
• You are independently responsible for the full lifecycle of complex projects or features, including discovery, technical design, implementation, rollout, and ongoing maintenance. You provide clear technical direction for others involved.
• You own the operational health of the systems you build, including performance, reliability, and observability. You are comfortable defining and upholding SLOs, participating in on-call, and driving follow-through on incidents and RCAs.
• Familiarity with cloud infrastructure (AWS preferred), infrastructure-as-code (Terraform), and containerized environments (Kubernetes), including how to design services that run reliably at scale in those environments.
• Expertise and hands-on experience with asynchronous processing and queueing systems like SQS, Kafka, or Apache Pulsar.
• Ability to handle yourself and complex systems in outage situations and to drive failures to root cause analysis and prevention of future issues.
• 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.
• You question convention and proactively look for ways to improve, whether that’s workflows, architecture, tooling, or team processes. You are intrinsically motivated to drive incremental and step-change improvements that deliver value to the business.
• You are an excellent communicator and collaborator. You lead technical discussions at the project and product-area level, write clear technical design documents and RFCs, and keep stakeholders aligned on progress, risks, and trade-offs.
• You mentor and support other engineers, offering thoughtful feedback in design and code reviews, helping refine specifications, and investing in the growth of more junior engineers on the team.
• You enjoy working on small, autonomous, agile teams, shipping early and often, pairing with product managers, business stakeholders, and other engineers to craft better software.

Nice to Have:

• Fundamental understanding of Linux and all layers of the networking stack; you should be confident administering and debugging production Linux systems.
• Practical experience building high availability systems at scale with Apache Pulsar.

Technologies We Use:

Klaviyo’s platform is primarily built with Python and React and runs on AWS. Engineers join us from a wide range of technical backgrounds and are supported in learning our stack. Core technologies include:

• Python / Django / FastAPI / GoLang
• Protobuf
• Apache Pulsar / Apache Kafka / SQS
• AWS / Terraform / Kubernetes / Argo / Istio / Kong

Location & Work Model:

This role is based in Boston, Massachusetts and follows a hybrid working model. Klaviyo supports work authorization and relocation for this position.

At Klaviyo, we enjoy tackling meaningful engineering challenges and value people who take ownership, learn continuously, and collaborate openly. We are committed to building inclusive teams and encourage applications from candidates of all backgrounds.

Klaviyo is growing fast and we have openings for all skill levels across all of our teams. Learn more about our engineering culture at https://klaviyo.tech

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

Responsibilities

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

Role Overview

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

Responsibilities

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

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

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

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

• Manage and provision AWS infrastructure using Terraform and Kubernetes.

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

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

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

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

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

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

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

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

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

Requirements

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

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

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

• Experience operating infrastructure on AWS at scale.

• Proficiency with Terraform, Kubernetes. 

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

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

• Excellent analytical, troubleshooting, and communication skills.

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

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

Nice to Have

• Experience with Golang for tooling or internal services.

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

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

• Understanding of Vault or other secrets management systems.

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

Tech Stack

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

Why Join Us

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

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

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

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

At Compass International Holdings (CIH), real estate transactions are powered by a complex web of referral programs, franchise relationships, and monetization agreements — each requiring precise attribution and business rule enforcement. The Referral & Monetization team owns the business rules, attribution pipelines, and tracking systems for brokerages’ Real Estate's referral programs, ensuring every referred lead is correctly attributed to the right program, franchise, and fee structure.

As a Senior Software Engineer on this team, you will design and build the systems that power the CIH referral rules engine, franchise lead attribution pipeline, lead monetization model, and the external partner API used by AST broker matching. Your work directly impacts revenue accuracy and the integrity of referral economics across a national franchise network.

At Compass, You Will: 

• Design and build the referral program rules engine — the system that determines which referral program applies to a given lead, based on brokerage, franchise, geography, and agent profile
• Own the franchise lead attribution pipeline — tracking which franchise or brokerage sourced a lead and ensuring accurate revenue attribution across Anywhere's broker network
• Build and evolve the lead monetization model — the set of rules that govern how leads are priced, attributed, and reconciled across programs
• Maintain and extend the broker matching partner API — an external-facing integration used to match consumers with brokers at scale, with high reliability requirements
• Build referral program reporting for brokers — self-serve dashboards and data pipelines that give brokers visibility into their referral performance and attribution
• Design robust, auditable data pipelines that support financial reconciliation and compliance requirements
• Operate in a scalable engineering culture that leverages modern principles of decoupled systems and automated CI/CD/testing/monitoring

What We Look For: 

• BS in Computer Science, Software Engineering, or equivalent practical experience
• 7+ years of experience developing comprehensive, well-tested, and high-performance software applications with languages such as Go, Java
• Experience with gRPC, Thrift, and other server-to-server communication protocols
• Experience with Kafka and event-driven systems — particularly for building reliable, ordered, and auditable data pipelines
• 3+ years using AWS / cloud technologies
• High proficiency designing and implementing microservices that are well tested, fault tolerant, and scalable
• Understanding and adherence to industry-standard best practices in software development and architecture
• Believes in good software development requiring thorough testing, robust resiliency features, effective monitoring capabilities, comprehensive documentation, and close collaboration
• Experience with Scrum/Agile development methodologies
• Strong critical thinking skills, great communication skills, and passion for delivering operational excellence

Preferred Qualifications:

• Rules engine or business logic systems: Experience designing and implementing rules engines, workflow engines, or policy evaluation systems where business rules change frequently and correctness is non-negotiable (e.g. pricing engines, eligibility checkers, entitlement systems)
• Revenue attribution or financial data pipelines: Hands-on experience building attribution systems that track the origin of a transaction across a multi-step funnel — particularly where attribution affects revenue recognition or partner payouts
• Multi-entity or franchise platform experience: Experience building platforms that serve multiple brands, franchises, or regional entities with distinct business rules, while sharing common infrastructure — knowing when to generalize a rule vs. when to fork it
• External partner API development: Experience owning and operating external-facing APIs used by third-party partners or brokers, including versioning, SLA management, reliability engineering, and partner onboarding
• Financial or commission domain knowledge: Familiarity with referral fee structures, commission splits, transaction-level economics, or financial reconciliation workflows — ideally in real estate, insurance, or fintech
• Audit logging and compliance: Experience building systems where every state transition must be auditable and traceable, supporting financial reconciliation and regulatory requirements
• Experience with Python or NodeJS development

Compensation: The base pay range for this position is $176,000-$196,100; however, base pay offered may vary depending on job-related knowledge, skills, and experience. Bonuses and restricted stock units may be provided as part of the compensation package, in addition to a full range of benefits. Base pay is based on market location. Minimum wage for the position will always be met.

In the time it takes you to read this job description, RapidSOS will have handled ~1,380 emergencies.

At RapidSOS, we are committed to using technology to build a safer, stronger future and working together to save lives. We’re in an exciting phase of growth, welcoming new members from across the globe to our mission-driven, ambitious, and inclusive team. Our work is founded on our values of elevating purpose, inventing tomorrow, delivering with urgency, serving with integrity, and winning together, all of which support a company culture where people can innovate, collaborate, grow, and, above all, make an impact. 

RapidSOS is ​​the leading public safety AI company that unlocks mission-critical intelligence for first responders and security teams – enabling faster, smarter and more accurate emergency response. Real-time data from the world’s largest safety network of 700M+ devices, 200+ global enterprises, and 23,000+ federal, state and local agencies fuels the RapidSOS HARMONY AI engine that delivers this intelligence to those who need it most. Learn more at www.RapidSOS.com.

What this role is about: 
Are you excited to build systems that make a real-world impact at massive scale, powering the real-time data and infrastructure behind mission-critical workflows? At RapidSOS, we create technology that powers smarter operations through real-time data — and, in critical moments, ensures life-saving information is delivered quickly, reliably, and when it matters most.

We’re seeking a Senior Software Engineer to build the scalable, reliable backend systems that power the core engine of our B2B platform. While this role is backend-leaning, you’ll own features end-to-end — shaping how they’re built across services, data flows, AI-driven capabilities, and the user experience to deliver seamless, dependable functionality. You’ll collaborate closely with product and engineering teams to evolve a platform used by leading organizations, ensuring our systems are resilient, high-performing, and scalable in the moments that matter most.

What you’ll do: 

• Drive the architecture, design, and implementation of new features, leveraging Python and TypeScript
• Lead strategic architectural decisions, help drive alignment, and optimize applications for performance, scalability, and accessibility
• Use best-in-class software development practices (unit tests, integration tests, performance tests, monitoring, detailed functional specification and test plans) to ensure RapidSOS' products remain highly reliable and fault tolerant
• Identify opportunities to assess and enhance current applications, including refactoring code and upgrading technologies used
• Collaborate in an agile environment with stakeholders across Engineering, Design, GTM, and Product to develop solutions for RapidSOS products
• Leverage modern AI development tools (Claude Code, Cursor or similar) to accelerate delivery and improve code quality
• Actively participate in code reviews and standups, sharing knowledge, championing best practices, and contributing to the continuous improvement of team processes
• Own meaningful parts of our platform, have an impact, grow with the company

What we’re looking for in our ideal candidate: 

• 5+ years of professional backend or full-stack engineering experience with deep expertise in Python and proficiency with React & TypeScript
• Experience integrating with RESTful APIs and delivering comprehensive end-to-end solutions in an AWS environment
• Experience working with relational and non-relational databases and message bus systems (RabbitMQ, Kafka, AWS SQS / SNS)
• Ideally has experience building AI-driven features or using AI tools to enhance acceleration of development, and is proactive about leveraging emerging technologies
• Strong communication and interpersonal skills; is a team player with a positive attitude 
• Highly self-motivated; ability to adapt and learn quickly in a fast-paced environment with a strong sense of ownership
• Strong proficiency in coding best practices – ability to write clean, maintainable, and testable code 
• Customer-centric mindset; cares deeply about delivering solutions that enable and delight customers while meeting product goals
• Demonstrated expertise in problem solving – from troubleshooting issues to debugging a large codebase
• Ability and willingness to collaborate in-person a few times per quarter, or as needed

Nice-to-have experience (but not required!):

• Experience with telephony / VoIP / SIP 
• Experience with websockets

What we offer: 

• The chance to work with a passionate team on solving one of the largest challenges globally 
• Competitive salary and benefits and equity participation 
• A dynamic, flexible and fun start-up work environment with a highly talented team

If you're curious to learn more about RapidSOS, you can check out https://rapidsos.com/blog/ 

Starting pay for a successful applicant will depend on a variety of job-related factors, which may include experience, relevant skills, training, education, location, business needs, or market demands. The salary range for this role is $155,000 - $185,000. This role will also be eligible to receive equity options. #LI-Remote 

What We Do

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

What You'll Do

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

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

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

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

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

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

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

Who You Are

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

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

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

• You have 7+ years of software development experience.

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

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

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

Nice to Have

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

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

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

• Exposure to cross-channel measurement or identity resolution.

At Klaviyo, we believe the future of software lies not in productivity tools for human users but in software that can run and optimize itself based on outcome or reward metrics. We’ve built the infrastructure and application that serve as the interface between businesses and consumers. We now have over 167,000 customers, billions of consumer profiles, and hundreds of billions of customer messages and follow-on conversion data. We have a big opportunity to build state-of-the-art AI and machine learning technologies at Klaviyo to power our products and develop AI agents that can automatically create and execute marketing or customer experiences, strategies, and campaigns for any business.

As a Sr. AI Engineer at Klaviyo, you’ll play a key role in designing and building scalable backend systems and user experiences that power our AI products and AI agent solutions. You’ll partner closely with product managers, machine learning engineers, and data scientists, to drive real-world impact at scale. This is a backend-heavy role with opportunities to influence architecture, async processing pipelines, distributed systems, and more.

How You Will Make a Difference

• Design and build backend systems that support scaling our AI solutions for 167K+ customers.

• Develop robust, reliable and scalable data collection and processing pipelines for machine learning models to train and consume.

• Develop robust, reliable and scalable services to serve AI models in production environments.

• Contribute to evolving our agentic architecture — making our AI agents more self-sufficient and performant.

• Contribute to a culture of ownership, experimentation, and customer-centric product thinking.

Who You Are

• 5–7 years of professional experience in software engineering, with a strong focus on backend systems and distributed architectures.

• Have hands-on experience building and deploying generative AI and agentic AI applications into production, with expertise in prompt engineering, few-shot learning, fine tuning and evaluation.

• Experienced backend engineer with a strong track record of building scalable, distributed systems, especially in the service of AI agent capabilities.

• Proficient in Python and modern backend frameworks (FastAPI, Django preferred).

• Experience creating human and automated evals to ensure high AI model quality.

• Proficient in big data tools such as Apache Spark and Hadoop.

• Deep experience with asynchronous processing and distributed task queues (Celery, Kafka, SQS, RabbitMQ, Redis).

• Strong understanding of database technologies and ORMs (SQLAlchemy, Alembic).

• Comfortable with cloud-native architectures (AWS) and container orchestration (Kubernetes); can manage infrastructure and CI/CD pipelines.

• Skilled at designing and building robust APIs.

• Able to operate with a high degree of autonomy, handle ambiguity, and thrive in a fast-moving, startup-like environment.

• Driven by curiosity. You're someone who learns and stays up to date with this rapidly evolving field.

• Comfortable collaborating directly with product managers and customers to shape solutions.

Nice to Have

• Trained ML models in the past and deployed them in production systems to generate impact to businesses.

• Experience in reinforcement learning.

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

Iterable is leveling up.

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

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

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

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

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

How you will make an impact:

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

In this role, you'll get to:

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

We are looking for people who have:

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

Bonus points:

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

Perks & Benefits:

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

The US base salary range for this position at the start of employment is $138,500 - $213,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

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

Who We Are

PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning. Our team, comprising diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact.

We're looking for skilled and experienced engineers to join our team and help lay the groundwork for our growing software platform. We believe in using the best tool for the job. While we’re always looking to improve, in this role, those tools currently include:

• Python
• Vue.js
• Django + DRF
• Docker
• AWS: EKS, S3, RDS/PostgreSQL, SQS, MSK/Kafka

What You’ll Do 

• Solve interesting problems with code. 
• Build new features for internal and external users, and refactor existing ones to make them better.
• Work with a wide range of systems, processes, and technologies to solve problems in sustainable ways. Sometimes you'll be neck-deep in low-level systems, and other times you'll be pairing up with the front-end team on the user interface.
• Drive the architecture of our application platform, considering the team and our future product roadmap.
• Collaborate with product, design, machine learning, and infrastructure teams.
• Drive and uphold high engineering standards, bringing consistency to the codebases you encounter and ensuring software is adequately reviewed, tested, and integrated.
• Mentor, learn, and share knowledge with others along the way.
• Take responsibility for the quality of the code produced by you and the team.
• Contribute to a SaaS platform used in clinical trial workflows, ensuring reliability, data integrity, and compliance with industry standards.
• Collaborate with clinical, QA, and regulatory teams to ensure software changes meet validation expectations and support inspection readiness.

What You’ll Need

• Bachelor of Science (or higher) in Computer Science or equivalent.
• 5+ years of full life cycle development experience.
• An insatiable intellectual curiosity and the ability to learn quickly in a complex space.
• Experience and skills in designing and building Python-based (FastAPI or Django) applications.
• Experience with modern frontend JavaScript frameworks such as React, Vue, or equivalent for building responsive, user-friendly interfaces.
• Solid foundation in data structures, algorithms, and OO design.
• Ability to collaborate with a distributed team and to work autonomously on projects.
• Strong problem-solving skills and the ability to work in a fast-paced, agile environment.
• Cloud Platform experience (AWS) (knowledge of some IaC framework is a plus).
• Hands-on experience with CI/CD tools like GitLab CI is a plus.
• Knowledge of containerization technologies like Docker and container orchestration tools like Kubernetes is a plus.

We Want to Hear From You

At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for. 

PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way. 

The cash compensation outlined below includes base salary, on-target commission for employees in eligible roles, and annual bonus targets for eligible positions. Certain roles may also qualify for overtime pay. In addition to cash compensation, some roles are eligible to participate in PathAI’s equity plan and may receive restricted stock units (RSUs). Individual compensation packages are tailored based on skills, experience, qualifications, and other job-related factors.

Annual Pay Range:
$127,500 - $195,500

Not Overtime Eligible

Eligible for RSUs

#LI-Boston

We are hiring for multiple positions across core domains of our platform spanning search, authorization, and end-to-end transaction management. As a Senior Software Engineer, you will use your experience with microservices based architecture to build products that deliver high business impact for our customers. You will lead design and development of services to support an industry leading consumer experience while also supporting the growth of the world’s most scalable brokerage. There is a tremendous opportunity to grow your career at Compass and positively impact how our customers interact with the Compass platform each day.

At Compass, You Will:

• Build, develop, and scale the platform that empowers real estate professionals, buyers, and sellers.
• Become a domain expert in real estate technology, serving as an empathetic partner to our customers.
• Inspire, recruit, and mentor fellow engineers.
• Architect distributed microservices architecture.
• Operate in a scalable engineering culture that leverages modern principles of decoupled systems and automated CI/CD/testing/monitoring to drive efficiencies
• Execute on standard agile development methodology
• Join a great team with high visibility and challenging projects on the horizon to help grow your career

What We Look For:

• BS in Computer Science, Software Engineering or equivalent practical experience
• 7+ years of experience developing comprehensive, well-tested, and high-performance software applications with languages such as Java, Go, or Python
• Experience with gRPC, Thrift, and other server-to-server communication protocols. 
• Experience with Kafka and event-driven systems
• 3+ years using AWS / cloud technologies
• High proficiency designing and implementing microservices that are well tested, fault tolerant, and scalable
• Understanding and adherence to industry-standard best practices in software development and architecture
• Experience with Scrum/Agile development methodologies
• Strong critical thinking skills, great communication skills and passion for delivering an operational excellence

Compensation: The base pay range for this position is $176,000-$196,100; however, base pay offered may vary depending on job-related knowledge, skills, and experience. Bonuses and restricted stock units may be provided as part of the compensation package, in addition to a full range of benefits. Base pay is based on market location. Minimum wage for the position will always be met.

About Klaviyo

Klaviyo is a leading marketing automation platform that helps businesses grow by delivering personalized experiences. Our mission is to empower creators to own their destiny. We believe in providing an exceptional developer experience that enables our engineering teams to build and ship high-quality software efficiently and with confidence.

About the Team

The Messaging Infra organization at Klaviyo is focused on high-growth customer engagement through various messaging channels (email, SMS/MMS/RCS, mobile push, WhatsApp, and more). We work with multiple stakeholders to provide best-in-class service and reliability to connect a wide range of businesses, from entrepreneurs to enterprises, with their end users. The messaging platform is a mission-critical system, responsible for delivering billions of messages, and must be architected for massive scale and reliability.

As a Senior Lead Software Engineer within the Messaging Infra organization, you will serve as the primary technical architect for our high-volume message delivery systems while driving the overarching technical vision for channel expansion. You will partner with leaders across all channels to ensure a scalable, reliable, and performant platform strategy, acting as a key technical liaison to the broader Mobile Channels and Messaging Infrastructure pillar. Your leadership will ensure that our core systems are not just maintained, but architected to accelerate innovation and business impact while raising the bar on scalability and reliability.

What You'll Do

As a Senior Lead Software Engineer, you will have an overarching responsibility for the architecture, health, and scaling of the Messaging Infra platform with a focus on high-volume message delivery. Your role will involve:

• Technical Strategy: Define the technical strategy and architectural vision for the Messaging Infra platform, ensuring all system improvements align with long-term business goals for massive scalability, high reliability, and low latency message delivery.
• System Architecture and Improvement: Serve as the primary architect to build and improve high-volume message delivery systems across multiple channels, focusing on throughput, performance, and reliability.
• Cohesive Technical Vision: Drive technical leadership to guide architectural decisions across multiple teams, striving towards a cohesive technical vision across multiple roadmap items and providing solutions for complex problems around scalability and performance.
• Platform Rollouts and Product Execution: Oversee and execute the planning and seamless rollout of major software releases and updates for the platform, managing the entire lifecycle from design to deployment in production environments including significant individual contributions.
• Problem Solving and Reliability: Act as a go-to expert for diagnosing and resolving complex performance, scalability, and reliability issues across the messaging platform. Implement proactive monitoring and telemetry to identify and address problems before they become critical incidents.
• Mentorship: Mentor other engineers regularly, primarily experienced lead and senior engineers, to develop new technical leadership for the company.
• Cross-functional Collaboration: Partner with product managers, deliverability and compliance specialists, and other stakeholders to gather requirements, resolve conflicts, and ensure alignment across all teams and projects.
• Continuous Improvement: Stay current with emerging technologies and industry trends, evaluating new tools and practices to identify how they can improve systems and internal processes.

Who You Are

• 12 years of experience in software development, strong knowledge of computer science fundamentals, domain-driven design, and extensive expertise in architectural patterns, specifically within the domain of distributed systems.
• Have proven that you can build and scale complex distributed systems, including solving problems in sustainable ways, balancing pragmatic development with ideal architecture, breaking through technical obstacles with vigor, and leading teams through crises by working side by side with them in the trenches.
• BA or BS Degree in Computer Science, related field, or equivalent experience.
• Technical Expertise: Deep expertise in relevant programming languages (e.g., Python, Go) and cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and Infrastructure as Code (Terraform). You are particularly passionate and an expert in multiple stack areas, with strong and opinionated experience with various technologies, and know how to pick the right tool for any job.
• Technical Strategy: Demonstrated experience in contributing to the product and platform vision, as well as defining the strategy within the broader scope of long-term organizational needs.
• Architectural Skills: Strong understanding of software architecture, design patterns, and system integration, with the ability to define technical strategies and influence architectural decisions across multiple teams.
• Soft Skills: Exceptional problem-solving, analytical, leadership, and communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
• AI Enthusiast: 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 efficiently.

Nice to Have

• Experience with the email and/or SMS ecosystem, including understanding of channel-specific protocols and security specifications (e.g., DKIM, DMARC, SPF), and familiarity with key 3rd-party entities (like mailbox providers, anti-abuse groups, and telecoms) and compliance rules/best practices.
• Background in performance optimization and a passion for digging into performance and scalability issues to drive breakthrough solutions.
• Familiarity with complex data management for testing, including large datasets and production-like data replication.

Our Tech Stack

• Python, Django, FastAPI, Celery
• Apache Kafka, Apache Pulsar, RabbitMQ, Spark, Airflow, and other tech from the big data stack
• MySQL, PostgreSQL, Clickhouse, Cassandra, Redis
• Typescript, React, Backbone.js, HTML, JavaScript, Babel, Jest, Webpack
• Graphite, statsd, Chronosphere
• AWS (EC2, RDS, Aurora, etc.), Terraform, Docker, Kubernetes (EKS), Pantsbuild, Argo, and other modern DevOps tools

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

How you will make an impact:

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

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

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

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

One of our core values is a growth mindset and Iterable is a company where everyone can grow. If this is a role that excites you, please do apply as we value applicants for the skills they bring beyond a job description.

How you will make a difference:

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

We are looking for people who:

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

Bonus Points

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

Perks & Benefits:

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

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

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

In the time it takes you to read this job description, RapidSOS will have handled ~1,380 emergencies.

At RapidSOS, we are committed to using technology to build a safer, stronger future and working together to save lives. We’re in an exciting phase of growth, welcoming new members from across the globe to our mission-driven, ambitious, and inclusive team. Our work is founded on our values of elevating purpose, inventing tomorrow, delivering with urgency, serving with integrity, and winning together, all of which support a company culture where people can innovate, collaborate, grow, and, above all, make an impact. 

RapidSOS is ​​the leading public safety AI company that unlocks mission-critical intelligence for first responders and security teams – enabling faster, smarter and more accurate emergency response. Real-time data from the world’s largest safety network of 700M+ devices, 200+ global enterprises, and 23,000+ federal, state and local agencies fuels the RapidSOS HARMONY AI engine that delivers this intelligence to those who need it most. Learn more at www.RapidSOS.com.

What this role is about:
Are you excited to work on systems where reliability directly impacts real-world outcomes? At RapidSOS, we build technology that powers emergency response, ensuring critical data gets to the right place at the right time. When these systems degrade or fail, the impact is real and reliability isn’t a background function. It’s fundamental to how our product shows up in critical moments.

We’re seeking a Senior Site Reliability Engineer to own the performance and stability of services that operate at scale in real-world, high-stakes environments. You’ll work across infrastructure-as-code, container orchestration, CI/CD pipelines, and service-level application code, identifying and resolving issues at their root cause while proactively shaping how systems are built to improve reliability from the start. You’ll go beyond surface-level fixes, digging into everything from service behavior in Kubernetes to application-level decisions that impact performance, cost, and reliability. You’ll collaborate closely with engineering teams to improve how our systems are built, observed, and operated. Along the way, you’ll help shape how we approach reliability as a discipline—closing visibility gaps, improving resilience, and ensuring our platform performs when it matters most.

What you’ll do: 

• Own performance and reliability outcomes: Ownership of how application-level decisions create system-level impact, including connection pooling, database architecture, traffic routing patterns, and memory allocation. Collaboration with engineering teams that own specific domains, partnering directly to improve reliability and performance across their systems.
• Design for system resilience: Responsibility for strengthening reliability through proactive design decisions, including safer deployment patterns, failover strategies, and redundancy approaches that improve system behavior under stress.
• Build observability into system behavior: Proactively instrument services with structured logging, metrics, and alerting so systems are easier to understand and debug. The focus is on creating clear signals from production behavior before issues escalate.
• Own incidents from signal to resolution: Ownership of production issues from first signal through resolution, including investigation across infrastructure and application layers, root cause identification, and implementation of fixes that restore stability and strengthen system behavior long term.
• Work across the stack without a permission slip: You’ll work across infrastructure-as-code, container orchestration, CI/CD pipelines, and service-level application code. When issues come up, you don’t wait for a handoff—ownership is taken directly and driven through to resolution.

What we’re looking for in our ideal candidate: 

• 5+ years of professional engineering experience with deep expertise in Python 
• Real cloud infrastructure experience with AWS: networking, managed databases, cost implications of traffic routing decisions, IAM, DNS-based routing and failover
• Hands-on kubernetes experience with containerized workloads in production across EKS, ECS, or Fargate, you can read events, understand resource limits, know when to drain vs. delete a node, and understand the tradeoffs between orchestration models
• Strong understanding of distributed systems and how they fail, including resource exhaustion, replication lag, queue backpressure, and other common failure modes
• Experience operating high-throughput messaging systems (RabbitMQ, Kafka, AWS SNS / SQS, etc.)  and the infrastructure around them, including infrastructure-as-code (e.g., Terraform) and CI/CD pipelines, with an emphasis on improving reliability and scalability
• Experience building or improving observability through logging, metrics, and alerting
• Demonstrable experience in using AI to safely and securely enhance velocity, improve reliability and recoverability of services
• Strong communication and interpersonal skills; is a team player with a positive attitude 
• Highly self-motivated; ability to adapt and learn quickly in a fast-paced environment with a strong sense of ownership
• Strong proficiency in coding best practices – ability to write clean, maintainable, and testable code 
• Demonstrated expertise in problem solving – comfortable working across both infrastructure and application layers to diagnose and resolve issues at the source
• Ability and willingness to collaborate in-person a few times per quarter, or as needed

Nice-to-have experience (but not required!):

• Experience supporting production systems in an on-call or similar capacity where reliability matters
• Experience with observability and GitOps tooling; hands-on with Datadog (APM, alerting), Elasticsearch/OpenSearch, and ArgoCD-based GitOps deployments; comfortable modernizing legacy CI/CD pipelines (e.g., Concourse, Jenkins) toward cloud-native approaches

What we offer: 

• The chance to work with a passionate team on solving one of the largest challenges globally 
• Competitive salary and benefits and equity participation 
• A dynamic, flexible and fun start-up work environment with a highly talented team

If you're curious to learn more about RapidSOS, you can check out https://rapidsos.com/blog/ 

Starting pay for a successful applicant will depend on a variety of job-related factors, which may include experience, relevant skills, training, education, location, business needs, or market demands. The salary range for this role is $160,000 - $195,000. This role will also be eligible to receive equity options. #LI-Remote

How you will make an impact:

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

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

Team Description? 

How you will make a difference:

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

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

We are looking for people who have :

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

Our Technology Stack:

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

Bonus Points

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

Perks & Benefits:

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

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

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

As a Staff Software Engineer in the Transaction Journey organization, you will use your experience with microservices based architecture to build products that deliver high business impact for our customers. You will lead design and develop services to support an industry leading consumer experience while also supporting the growth of the world’s most scalable brokerage. You will lead a team to build a collaborative transaction management platform that streamlines the process of buying/selling homes through enabling agents to manage transaction processes from initial contact to close, including accessing state and local forms, sending documents for electronic signature, and managing offers for buyers and sellers.

You are an engineer who is passionate about creating well-defined APIs that are easy to use. You feel it is critical that your voice is heard in product and business decisions. You love to learn, and equally love to share your knowledge with others. You are a great communicator and you take care to understand before making yourself understood.

Your design systems are fault tolerant, scalable, highly available, well-tested, eventually consistent, and follow best practices such as the single responsibility principle.

Your code is designed for modularity and re-use. You take pride in delivering solid code that is well-tested, peer-reviewed, and follows best practices. You have strong opinions on code structure, style, and development processes.

At Compass, You Will:

• Provide strategic direction and ownership to Compass software architecture
• Build, develop, and scale the platform that empowers real estate professionals, buyers, and sellers.
• Become a domain expert in real estate technology, serving as an empathetic partner to our customers.
• Inspire, recruit, and mentor fellow engineers.
• Lead in the architecting of our distributed microservices architecture.
• Operate in a scalable engineering culture that leverages modern principles of decoupled systems and automated CI/CD/testing/monitoring to drive efficiencies
• Execute on standard agile development methodology
• Join a great team with a lot of visibility and some challenging projects on the horizon

What We Look For:

• BS in Computer Science, Software Engineering or equivalent practical experience
• A track record as a technical leader with cross-team impact.
• 10+ years of experience developing comprehensive, well-tested, and high-performance software applications.
• 10+ years of programming experience in languages such as Java or Go 
• Experience with gRPC, Thrift, and other server-to-server communication protocols. 
• Experience with Kafka and event-driven systems
• 5+ years using AWS / cloud technologies.
• High proficiency designing and implementing microservices
• Understanding and adherence to industry-standard best practices in software development and architecture.
• Experience with Scrum/Agile development methodologies
• Strong critical thinking skills, great communication skills and passion for delivering an operational excellence
• Excellent verbal and written English communication skills

Compensation: The base pay range for this position is $200,070-$222,300; however, base pay offered may vary depending on job-related knowledge, skills, and experience. Bonuses and restricted stock units may be provided as part of the compensation package, in addition to a full range of benefits. Base pay is based on market location. Minimum wage for the position will always be met.

ezCater values technology as a differentiator and a key component of our success. It powers everything we do. We push ourselves everyday to improve the codebase, improve performance, and deliver an amazing customer experience. Our culture values innovation, pragmatism, and transparency. 

As we expand our team we’re seeking engineers that thrive in a forward-thinking organization and are passionate about building products that drive measurable impact, while committing quality code and deconstructing complexities. We are looking for smart, thoughtful, collaborative technologists to help us reach our goals while delivering value and impact across our business.

A critical area for ezCater’s growth over the coming years will be solidifying the current menu capabilities and building the next features which will service the full spectrum of our customer’s food needs. As a member of our Menus Core Services (MCS) team, you will play a pivotal role designing and building the foundation for these menus systems. This is a high visibility team at the center of ezCater’s core services initiatives. Additionally, you will partner with teams across the organization to fuel new functionality, improved customer experiences and partner integrations.

What You'll Do: 

• Bring your knowledge of distributed systems to build highly-scalable, fault-tolerant systems in a hybrid monolithic/microservices architecture.
• Partner with our data technology organization to enable detailed insight into our menus, unlocking future roadmap opportunities across the org.
• Work cross-functionally with product managers and business stakeholders to understand the complex processes that drive order fulfillment.
• Make an impact working on projects that will drive growth, profitability, and customer satisfaction across ezCater.
• Improve performance at every chance you get (we believe speed itself is a feature).
• Partner with fulfillment and customer care teams to improve the experience for customers, catering partners, delivery drivers, and customer support agents.
• Have fun building meaningful software with awesome people.

What You Have: 

• Fullstack experience on a product engineering team, ideally in Go or Ruby on Rails.
• 5+ years of professional software development experience.
• Proficiency with AI-assisted development tools (e.g., Claude Code, Cursor, GitHub Copilot) and a demonstrated ability to integrate them into daily engineering workflows to accelerate delivery, improve code quality, and automate routine development tasks. Eagerness to share AI best practices with peers is also a plus!
• Deep knowledge of SQL / relational databases. Postgres? Even better.
• Exposure to GraphQL and Kafka is an asset, but not a requirement.
• Experience designing and building large-scale systems.
• Extensive experience designing APIs and an understanding of API-first development.
• Desire to work on a backend-heavy platform team.
• An appetite for learning, experimentation, relentless curiosity and an ability to leverage what you learn to make our products better.
• A friendly, flexible, and pragmatic disposition.
• Ability to travel up to 5 days per quarter for Together Weeks, team gatherings and other events, when applicable.

 
The national total target cash compensation range for this position, including base salary and bonus target, is $158,000–$190,000 annually.*

*Please note: Final offer amounts are determined by multiple factors, including prior experience, expertise and region & may vary from the amount above. This range does not represent additional compensation benefits (such as equity, 401K or medical, dental or vision insurance).

Please have fun with the Cover Letter portion of the application! It does not need to follow “traditional” cover letter guidelines - we would love for you to write 150-500 words explaining why you are interested in ezCater and the role, and highlighting anything else you think we should know!

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

About Toast

At Toast, we're building the restaurant platform that helps restaurants adapt, take control, and thrive. The Customer Success (CS) organization plays a pivotal role in helping customers get the most out of our products and we're transforming our data capabilities to drive a new era of proactive, data-informed customer engagement. 

The CS Data & Analytics team is at the center of this transformation, building the data infrastructure that makes proactive, data-informed customer engagement possible at scale for ~150,000 restaurant locations.

Role Overview

You'll be a founding member of a newly chartered data engineering function within Customer Success, with a direct hand in shaping the architecture, tooling, domain model, and team culture from day one. This is a rare opportunity to build something from greenfield, with visibility to VP and senior CS leadership.

As an Analytics Engineer on the Customer Success Data & Analytics team, you'll bridge the gap between raw data and business-ready insights. You'll build the semantic layer, dbt models, and analytics datasets that power reporting, dashboards, and AI-driven workflows across the CS organization. Reporting to the Director of Data Infrastructure & Engineering, you'll work closely with Data Engineers, Analysts, and CS operations leaders to ensure data is not just available but trusted, consistent, and decision-ready.

This is a hands-on role focused on data modeling, metrics standardization, and analytics infrastructure, with a direct line to CS outcomes like customer retention, agent performance, and proactive customer engagement.

A day in the life (Responsibilities) 

• Build and maintain dbt models that transform raw CS source data from systems like Salesforce, Five9, Intercom, NICE, and LevelAI into clean, analytics-ready datasets across CS domains including Customer 360, case management, omnichannel interactions, and agent performance.
• Design and own the semantic and metrics layer for CS KPIs including customer health scores, CSAT, case resolution rates, handle time, and retention signals, ensuring consistent definitions across all reporting surfaces.
• Partner with CS analysts and business stakeholders to translate reporting requirements into reusable, well-documented data models.
• Implement data testing, validation, and observability frameworks to ensure CS data assets are reliable and trustworthy at all times.
• Contribute to self-service analytics enablement by building datasets and semantic models in Snowflake and Sigma/Hex that allow CS analysts and operations leaders to answer questions independently.
• Collaborate with Data Engineers to ensure upstream pipeline outputs are modeled correctly and fit for purpose for analytics use cases.
• Establish and enforce data modeling standards, naming conventions, and documentation practices that scale as the team grows.
• Support AI and ML use cases by building clean, structured feature datasets for customer health scoring, churn prediction, and agent assist models.
• Participate in code reviews, design discussions, and technical architecture planning to continually raise engineering standards.
• Ensure data pipelines, storage, and access patterns adhere to BTT data standards, security policies, and compliance requirements.
• Partner with BTT governance forums to align on design patterns, data architecture decisions, and SLA expectations.
• Maintain documentation and metadata for all data assets in accordance with established governance processes.

What you'll need to thrive (Requirements)

• 5 or more years of experience in analytics engineering, data engineering, or a related role with a strong focus on data modeling and analytics infrastructure.
• Expert-level SQL and hands-on experience with dbt for building and maintaining data models in a cloud data warehouse environment.
• Experience with Snowflake or a comparable modern data warehouse such as BigQuery or Redshift.
• Familiarity with BI and analytics tools such as Sigma, Hex, Tableau, or Looker.
• Strong understanding of dimensional modeling, metrics layers, and analytics-ready dataset design.
• Ability to translate ambiguous business requirements from non-technical CS stakeholders into clean, scalable data models.
• Demonstrated ability to implement data quality testing, monitoring, and documentation as a standard practice.
• Demonstrated ability to communicate technical tradeoffs and data concepts clearly to non-technical stakeholders, including operations and business leaders.
• Collaborative working style with experience partnering across Data Engineering, Analytics, and business operations teams.
• Strong problem-solving skills, attention to detail, and a drive to build scalable, reliable systems.
  
  

What will help you stand out (Non-essential Skills/Nice to Haves)

• Experience building and optimizing data systems that operate at significant scale, managing billions of records across multiple data domains and systems, with the foresight to design for 5-year growth and future platform scale.
• Comfort using AI-assisted development tools such as GitHub Copilot, Claude, or Snowflake Cortex AI to accelerate pipeline development, testing, and documentation, and curiosity about how GenAI can enhance data product quality.
• Experience with real-time data streaming using Kafka, Kinesis, or Pub/Sub.
• Exposure to data governance, metadata management, and observability tools.
• Background in SaaS or Customer Success analytics, including usage data, retention metrics, and customer health.
• Experience working with CS or CX-adjacent source systems such as Salesforce, Five9, Intercom, or similar CCaaS/CRM platforms, and familiarity with the data models and integration patterns they produce.
• Knowledge of data security, privacy, and compliance in cloud environments.
• Experience with CI/CD, infrastructure as code, or containerization such as Docker or Terraform.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy

We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

About Toast

At Toast, we're building the restaurant platform that helps restaurants adapt, take control, and thrive. The Customer Success (CS) organization plays a pivotal role in helping customers get the most out of our products and we're transforming our data capabilities to drive a new era of proactive, data-informed customer engagement. 

The CS Data & Analytics team is at the center of this transformation, building the data infrastructure that makes proactive, data-informed customer engagement possible at scale for ~150,000 restaurant locations.

Role Overview

You'll be a founding member of a newly chartered data engineering function within Customer Success with a direct hand in shaping the architecture, tooling, domain model, and team culture from day one. This is a rare opportunity to build something from greenfield, with visibility to VP and senior CS leadership.

As a Data Engineer on the Customer Success Data & Analytics team, you’ll design, build, and scale the data platforms and pipelines that power insights across our Customer Success organization. Reporting to the Director of Data Infrastructure & Engineering, you’ll work closely with Data Infrastructure, Analytics, Engineering, and Product teams to ensure high-quality, reliable data is accessible and actionable.

This is a hands-on engineering role focused on delivering production-grade, scalable, and reliable data systems that support analytics, reporting, and operational decision-making across Customer Success.

A day in the life (Responsibilities) 

• Design, build, and maintain scalable, production-ready data pipelines (batch and real-time) for Customer Success using modern data technologies.
• Develop and evolve data models and schemas that enable reporting, analytics, and machine learning across Customer Success functions.
• Partner with CS operations leaders across care, workforce, and CX to translate business requirements into pipeline and infrastructure priorities, ensuring data work is directly connected to customer retention and operational outcomes.
• Ensure data quality, observability, lineage, and governance are built into every data workflow.
• Implement best practices for cost-efficient, performant cloud-based data infrastructure.
• Contribute to data platform tooling and frameworks that support self-service analytics and reusability across teams.
• Actively monitor and optimize data workflows for reliability, scale, and maintainability.
• Collaborate with cross-functional stakeholders to define and track key metrics and ensure consistent data definitions.
• Participate in code reviews, design discussions, and technical architecture planning to continually raise engineering standards.
• Build and maintain semantic and metrics layer foundations (e.g., dbt metrics, Snowflake semantic layer) that enable consistent, reusable definitions of CS KPIs across reporting and analytics surfaces.
• Contribute to the design and evolution of the CS data domain model including Customer 360, omnichannel interaction data, case management, and agent performance in close partnership with cross-functional stakeholders.
  
  

Governance & Standards

Partner with Toast's Business, Technology & Transformation (BTT) organization to establish data governance practices, security policies, and architecture standards that will serve as the foundation for CS data infrastructure. As a founding team member, you'll help define the norms, not just follow them.

• Ensure data pipelines, storage, and access patterns adhere to BTT data standards, security policies, and compliance requirements.
• Partner with BTT governance forums to align on design patterns, data architecture decisions, and SLA expectations.
• Maintain documentation and metadata for all data assets in accordance with established governance processes.
  
  

What you'll need to thrive (Requirements)

• 5+ years of experience in data engineering, software engineering, or a related role building and maintaining data systems in production.
• Strong SQL skills and experience with a programming language such as Python, Scala, or Java.
• Hands-on experience with cloud-based data platforms (AWS, GCP, or Azure).
• Experience building and optimizing ETL/ELT workflows using tools such as Airflow, dbt, or similar orchestration frameworks.
• Deep understanding of data modeling, data warehousing, and pipeline design.
• Ability to write clean, maintainable, and well-tested code for data transformations and automation.
• Demonstrated ability to communicate technical tradeoffs and data concepts clearly to non-technical stakeholders, including operations and business leaders.
• Proven ability to work collaboratively with analytics, operations, and engineering teams.
• Strong problem-solving skills, attention to detail, and a drive to build scalable, reliable systems.
  
  

What will help you stand out (Non-essential Skills/Nice to Haves)

• Experience building and optimizing data systems that operate at significant scale, managing billions of records across multiple data domains and systems, with the foresight to design for 5-year growth and future platform scale.
• Comfort using AI-assisted development tools (e.g., GitHub Copilot, Claude, Snowflake Cortex AI) to accelerate pipeline development, testing, and documentation and curiosity about how GenAI can enhance data product quality.
• Experience with real-time data streaming (Kafka, Kinesis, or Pub/Sub).
• Familiarity with modern data warehouse/lakehouse technologies (e.g., Snowflake, BigQuery, Redshift, Delta Lake).
• Experience with CI/CD, infrastructure as code, or containerization (e.g., Docker, Terraform).
• Exposure to data governance, metadata management, and observability tools.
• Background in SaaS or Customer Success analytics (usage data, retention metrics, customer health).
• Experience working with CS or CX-adjacent source systems such as Salesforce, Five9, Intercom, or similar CCaaS/CRM platforms and familiarity with the data models and integration patterns they produce.
• Knowledge of data security, privacy, and compliance in cloud environments.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy

We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

How you will make an impact:

As a Software Engineer II at Iterable, you'll independently develop, maintain, and deliver moderate-complexity projects on your team. You'll be working with the Delivery team which builds and maintains the pipeline responsible to getting messages to end users on time. Ultimately, we help enable our customers to provide relevant, timely, and joyful experiences to their own users.

Our Engineering team works closely with Product, Design, Infrastructure, and SRE to bring next-generation marketing solutions to our massively scalable platform. We believe in building an Engineering culture guided by our company values which you can learn more about here.

You are recognized as a subject matter expert in a particular focus area and consistently demonstrate high-quality, on-time delivery. You take ownership of the full lifecycle of your code — from design through production monitoring and maintenance. One of our core values is a growth mindset and Iterable is a company where everyone can grow. If this is a role that excites you, please do apply as we value applicants for the skills they bring beyond a job description.

You'll get to:

• Execute on core work with minimal guidance in a way that increases team velocity while maintaining high quality
• Break down projects into milestones, provide accurate cost estimates, and proactively keep stakeholders informed
• Architect and develop solutions on a complex platform that reaches millions of users
• Collaborate with frontend, backend, product, and design to conceptualize and build new product features
• Write well-structured, maintainable, documented, and tested code with an eye toward future reuse and modularization
• Diagnose and fix tricky bugs, prevent incidents through appropriate testing, and maintain a track record of drama-free deploys
• Provide in-depth code reviews and contribute to design reviews with respectful, effective communication
• Recognize potential scalability issues, bring them to the Architecture Support Group (ASG), and participate in remediation
• Collaborate actively to unblock teammates, give and receive hard feedback with respect and empathy, and solicit input from people of diverse backgrounds
• Participate in recruiting and develop effective interviewing skills

We are looking for people who have:

• 3+ years of relevant software development experience
• Proficiency in at least one modern programming language (ideally Scala and/or Java)
• Experience building production-ready, scalable web applications
• Experience with Elasticsearch and/or other relevant technologies such as Postgres and data pipeline systems
• Strong interpersonal skills and the ability to collaborate in a highly remote/distributed environment
• Ability to facilitate discussions within your team and cross-functionally
• A desire to be part of a values-driven Engineering team
• Passion for learning — always improving yourself and the team around you
• Willingness to take on-call responsibilities
• Fluency in English (verbal and written)

Our Technology Stack:

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

Bonus Points:

• Experience with end-to-end, integration, and performance testing
• Exposure to enterprise systems

Perks & Benefits:

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

The US base salary range for this position at the start of employment is $114,500 - $188,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

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

How you will make an impact:

As a Senior Software Engineer at Iterable, you'll be responsible for the core platform used by our growing customer base. Making this platform easy to use and attractive for non-technical users is extremely important. 

Our Engineering team works closely with Product, Design, Infrastructure, and SRE to bring next-generation marketing solutions to our massively scalable platform. We believe in building an Engineering culture guided by our company values which you can learn more about here.

You will be working with the Analytics Application team that provides accurate and actionable insights to our customers so that they can establish a clear understanding of the effectiveness of their marketing efforts. Ultimately, we help enable our customers to provide the most relevant and joyful experiences to their own users.

One of our core values is a growth mindset and Iterable is a company where everyone can grow. If this is a role that excites you, please do apply as we value applicants for the skills they bring beyond a job description.

You’ll get to:

• Own the backend of the product with a huge amount of autonomy
• Architect and develop solutions to scale a complex platform that reaches millions of users
• Collaborate with frontend, backend, product, and design to conceptualize and build new product features
• Provide direction for your team and guide standards across the Engineering organization
• Improve Engineering processes, tooling, and efficiency
• Mentor and guide team members 

We are looking for people who have:

• Relevant industry experience building production-ready, scalable web applications
• Proficiency in at least one modern programming language (ideally Scala and/or Java)
• Experience with Elasticsearch and/or other relevant technologies such as Postgres and data pipeline systems. 
• Ability to facilitate discussions within your team and cross-functionally
• A desire to be part of a values-driven Engineering team
• Passion for learning -- always improving yourself and the team around you

Our Technology Stack:

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

Bonus Points

• Experience with large-scale performance testing 
• Experience with data processing and advanced methodologies
• Experience with functional programming and the JVM
• Experience using AI IDEs or workflows

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

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

Job Title: Sr. Lead AI Engineer
Location: Boston, MA

This role is based in our Boston, MA hub (Hybrid-3x week). 

About the Role

At Klaviyo, we believe the future of software isn’t just better productivity tools for humans—it’s systems that can run, optimize, and adapt themselves based on outcome and reward signals. We’ve already built the infrastructure and applications that sit between businesses and consumers—serving 183,000+ customers, billions of consumer profiles, and hundreds of billions of messages and conversion events. Now we’re investing heavily in Marketing AI and Service AI: the shared services and agentic capabilities that power AI‑native experiences across Klaviyo.

As a Sr. Lead AI Engineer in the AI & Analytics organization, you’ll be the technical leader for a set of high‑impact AI services and agentic systems. You’ll own architecture and execution for complex, distributed backend systems; guide other engineers through design and implementation; and partner closely with product, machine learning, and data science to turn AI ideas into reliable, scalable production capabilities. This is a hands-on tech lead role, not a people‑manager role.

How You’ll Make a Difference

• Define and improve the engineering architecture for Service and Marketing AI capabilities. Lead the design of scalable, low‑latency backend systems and APIs that power our AI products and agents for 183K+ customers, handling billions of events and interactions.
• Build and harden AI serving systems. Lead the development of services that host and orchestrate AI models (LLMs, tools, evaluators, retrieval systems), with clear contracts, SLOs, and observability so other teams can depend on them.
• Evolve our agentic architecture. Drive the technical roadmap for Service and Marketing AI agents—improving tool use, autonomy, and reliability so agents can safely take actions on behalf of customers and internal users with minimal human intervention.
• Set engineering standards for AI services. Establish best practices for evaluation, safety/guardrails, prompt and model versioning, offline and online tests, and incident response for AI‑backed systems; hold the bar for design reviews and code quality.
• Lead cross‑team technical work. Act as the primary technical interface between Service / Marketing AI and other product/platform teams—clarifying ownership boundaries, aligning on interfaces, and unblocking dependencies across hubs and time zones.
• Mentor and uplevel engineers. Coach senior and mid‑level engineers through design, implementation, and operational best practices, helping them grow into stronger system owners and future tech leads.
• Help build the Palo Alto hub. Shape local engineering rituals, help with hiring and onboarding, and create healthy patterns for cross‑hub collaboration so work and career opportunities are not constrained by geography.
• Measure what matters. Define and track key metrics for your systems—availability, latency, cost‑to‑serve, agent success rates, eval scores, and customer adoption—and use those insights to drive roadmap and technical decisions.
• Transform engineering and product development workflows by putting AI at the center, building & utilizing agentic coding tools and AI-first working.

Who You Are

• Seasoned backend engineer & tech lead. 8+ years of professional software engineering experience with a strong focus on backend and distributed systems; you’ve led complex projects or areas end‑to‑end and acted as the go‑to technical owner for key services.
• Hands‑on with generative & agentic AI in production. You’ve built and shipped generative or agentic AI applications (e.g., LLM‑backed flows, tool‑using agents, retrieval‑augmented systems) and are comfortable with prompt design, few‑shot approaches, fine‑tuning, and evaluation.
• Deep experience with large‑scale distributed systems. You’ve architected and operated reliable services, async processing pipelines, and distributed task queues (e.g., Celery, Kafka, SQS, RabbitMQ, Redis) supporting high‑throughput workloads.
• Strong Python and data tooling fluency. Proficient in Python and modern backend frameworks (FastAPI, Django or similar), with experience using big data tools such as Spark/Hadoop and ORMs like SQLAlchemy/Alembic.
• Production‑grade cloud experience. Comfortable with AWS and Kubernetes, CI/CD pipelines, observability, and operational best practices; you treat infrastructure choices as part of the system design, not an afterthought.
• Evaluation and quality‑obsessed. You’ve designed human and automated evals for AI systems, know how to instrument for quality, and understand how to balance latency, cost, and response quality in real‑world usage.
• Technical leader, not just individual contributor. You influence architecture beyond your own code, facilitate design reviews, rally cross‑functional partners, and help teams converge on pragmatic decisions in ambiguous spaces.
• Collaborative and customer‑first. You’re comfortable collaborating directly with PMs, ML engineers, and customers; you can translate between customer needs, product goals, and technical constraints, and you care deeply about the customer experience.
• You’ve already been effectively practicing agentic coding in your daily work. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.
• Bonus: You use AI tools to accelerate exploration, shorten iteration cycles, and bring sharper ideas to the table—for yourself and your teammates.

Nice to Haves

• Prior experience training and deploying ML models (including RL or RLHF) into production systems that drove measurable business impact.
• Experience building shared AI/ML platforms or services used by multiple product teams.
• Background in marketing tech, ecommerce, or other domains where customer data, personalization, and experimentation are central.

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.

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