WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

The Role 

We’re looking for a Senior Data Engineer to design, build, and operate the data pipelines and aggregates that power Zeta’s AdTech platform. This is a hands-on individual contributor role focused on high-scale batch + streaming data processing, reliable data products, and analytics-ready datasets that enable prediction, agentic workflows, BI reporting, and measurement. You will partner closely with backend, ML, and product teams to deliver trusted, well-modeled data with strong performance, quality, and observability. 

What You’ll Do 

• Build data pipelines: Develop robust batch and streaming pipelines (Kafka/Kinesis) to ingest, transform, and enrich large-scale event data (impressions, clicks, conversions, costs, identity signals). 

• Create data aggregates & marts: Design and maintain curated aggregates and dimensional models for multiple consumers—prediction models, agents, BI dashboards, and measurement workflows. 

• Data modeling & contracts: Define schemas, data contracts, and versioning strategies to keep downstream systems stable as sources evolve. 

• Data quality & reliability: Implement validation, anomaly detection, backfills, and reconciliation to ensure completeness, correctness, and timeliness (SLAs/SLOs). 

• Performance & cost optimization: Optimize compute/storage for scale (partitioning, file sizing, incremental processing, indexing), balancing latency, throughput, and cost. 

• Orchestration & automation: Build repeatable workflows with scheduling/orchestration (e.g., Airflow, Dagster, Step Functions) and CI/CD for data pipelines. 

• Observability for data systems: Instrument pipelines with metrics, logs, lineage, and alerting to accelerate detection and root-cause analysis of data issues.
• Security & governance: Apply least-privilege access, PII-aware handling, and governance controls aligned with enterprise standards.

Qualifications

• 5+ years building production data pipelines and data products (batch and/or streaming) in a high-scale environment.
• Strong experience with SQL and data modeling (dimensional modeling, star/snowflake schemas, event modeling). 

• Hands-on experience with streaming systems (Kafka preferred) and/or AWS Kinesis, including event-driven designs. 

• Proficiency in one or more languages used for data engineering (Python, Java, Scala, or Go). 

• Experience with distributed data processing (Spark, Flink, or equivalent) and performance tuning at scale. 

• Experience with AWS data services and cloud-native patterns (S3, Glue/EMR, Athena, Redshift, etc. as applicable). 

• Familiarity with lakehouse/table formats and large-scale storage patterns (e.g., Parquet; Iceberg/Hudi/Delta are a plus). 

• Experience with orchestration/workflow tooling (Airflow/Dagster/Step Functions) and CI/CD for data workloads. 

• Strong data quality/observability practices (tests, monitoring, lineage; understanding of SLAs/SLOs). 

• Experience with SQL + NoSQL data stores (e.g., Postgres/MySQL; DynamoDB/Cassandra/Redis) and choosing the right store per use case.
• Clear communicator and collaborator; able to work with mixed audiences and translate needs into reliable data interfaces. 

Preferred Experience

• AdTech / programmatic advertising domain knowledge: DSP/SSP/exchange/RTB concepts and data flows. 

• Experience building measurement pipelines (attribution, incrementality, lift, or experimentation analytics).
• Experience supporting ML feature stores, offline/online feature generation, or model training datasets. 

• Experience with real-time analytics stores (Druid/ClickHouse/Pinot) and high-cardinality aggregation strategies. 

• Deep knowledge of data governance/privacy, including PII handling and consent-aware data processing. 

• Open-source contributions, publications, or conference speaking. 

• BS/MS in CS/Engineering or equivalent practical experience. 

BENEFITS & PERKS

• Unlimited PTO
• Excellent medical, dental, and vision coverage
• Employee Equity
• Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!

SALARY RANGE

The salary range for this role is $165,000 - $175,000, depending on location and experience. 

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases

#LI-YW1

The Database Infrastructure team develops and operates all of Discord’s databases and data services. Those systems store the data of Discord's 200M+ monthly active users—including trillions of messages! We work across multiple areas: databases, disk storage and Rust-based data access services. We're a small team whose work has a huge impact on our company's success and ability to grow!

Some blog posts from the team:

• How Discord Indexes Trillions of Messages
• How Discord Stores Trillions of Messages
• How Discord Supercharges Network Disks for Extreme Low-Latency

You will:

• Build and operate large-scale, reliable and performant data systems with ScyllaDB, PostgreSQL, ElasticSearch, Linux and Rust.
• Collaborate with product and infrastructure teams to develop storage primitives enabling all of Discord.
• Exercise "First Principles Thinking" to always deliver what matters most to our users.
• Work with a talented team of engineers who have built one of the largest communication platforms in the world.

You have:

• 2-4 years of experience with building backend infrastructure
• Ability to troubleshoot, debug, and test complex systems in a live, production environment
• Strong operating systems, distributed systems, and concurrency control fundamentals
• Proficiency with at least one statically-typed programming language: e.g. Rust, Go, Java, C, C++
• Comfortable working in fast paced environments

Bonus Points:

• Experience with highly-available and distributed databases: e.g. ScyllaDB, Cassandra, Vitess, Postgres w/HA, etc.
• Experience with Rust
• Knowledge of DevOps tools like Salt, Terraform or Kubernetes

More things that might interest you:

• We’ve tackled a lot of fascinating technical challenges over the years, and blogged about it regularly:
  • How Discord Stores Trillions of Messages
  • 25% or 6 to 4: The 11/6/23 Authentication Outage
  • How Discord Supercharges Network Disks for Extreme Low Latency
  • Why Discord is switching from Go to Rust
  • How Discord Indexes Billions of Messages
  • How Discord Stores Billions of Messages
  • How Discord Indexes Trillions of Messages
• One of our team members even wrote a book on ScyllaDB
• We present at conferences:
  • How Discord Indexes Trillions of Messages by Vicki Niu
  • How Discord Performs Database Upgrades at Scale by Ethan Donowitz

The US base salary range for this full-time position is $160,000 to $180,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

As an Engineer on the Safety Experience team, you’ll help make Discord’s platform safer for hundreds of millions of users. You’ll contribute to designing, building, and maintaining product features and systems that prevent harmful activities while ensuring regulatory compliance. Keeping users safe is essential for Discord’s growth, making your team’s work critical. This role reports to the Engineering Manager of Safety Experience.

What You'll Be Doing

• Contribute to the development of highly visible, user-facing products that protect Discord’s users.
• Design, build, and deploy production APIs, backend services, and data pipelines to launch safety features at scale.
• Collaborate cross-functionally with Product, Design, Policy, Data Science, ML, Legal, and T&S Operations to create solutions that are both impactful and lovable.
• Support rapid responses to the ever-evolving abuse and compliance landscape.

What you should have

• 2+ years of experience writing Python and utilizing back-end API frameworks (Flask, Django).
• 2+ years of experience developing front-end interfaces with JavaScript (React, TypeScript) for both web and mobile platforms.
• Familiarity with databases such as Cassandra, Postgres, and ScyllaDB.
• Ability to contribute to end-to-end delivery of projects: working through ambiguity, participating in rollouts, and communicating with stakeholders.
• Ability to troubleshoot, debug, and test complex systems in a live, production environment.
• Strong communication and collaboration skills, with the ability to work well with cross-functional partners, designers, and other engineers.
• Experience using metrics and dashboards to make data-driven decisions.

Bonus Points

• Interest in the Safety or Anti-Abuse domain.
• Experience analyzing and visualizing data using Datadog or Mode.
• Familiarity with real-time streaming systems like Kafka or Pub-Sub.
• Ability to contribute to offline analytics jobs and processes.
• Experience building and operating mobile-client features on iOS and Android.
• Exposure to lower-level languages such as Go, Rust, and Elixir.
• A strong moral compass that drives you to protect users and do the right thing.

Candidates must reside in or be willing to relocate to the San Francisco Bay Area (Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma counties). Relocation assistance may be available. For this role, there is no formal requirement to work from the office. The US base salary range for this full-time position is $160,000 to $180,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

Discord's Infrastructure organization is the backbone of everything our users experience. From the real-time delivery of 40M+ events per second to storing trillions of messages, our systems power the connections between 200M+ active users. As a Principal Engineer in this organization, you'll operate across our infrastructure teams to shape our technical vision and keep Discord running reliably at massive scale.

This is a role for someone who thrives at the intersection of deep technical expertise and organizational leadership. You'll contribute to the long-term infrastructure roadmap, tackle our most complex and ambiguous technical challenges, and ensure Discord's systems remain reliable, efficient, and ready for the next 200M users.

You will:

• Lead Discord's most critical infrastructure initiatives.
• Define and drive the technical vision and multi-year roadmap for Infrastructure, aligning teams around shared architectural principles.
• Partner with leadership across the company to ensure infrastructure capabilities enable product innovation.
• Design systems that balance reliability, cost-efficiency, and scalability.
• Mentor and grow senior engineers across multiple teams, raising the technical bar organization-wide.
• Represent Discord's engineering culture externally through blog posts, conference talks, and open source contributions.

You have:

• 10+ years of experience building and operating large-scale distributed systems.
• Experience architecting complex infrastructure serving hundreds of millions of users with strict uptime requirements.
• Deep expertise in backend systems, databases, and the operational realities of running systems at scale.
• Ability to navigate significant ambiguity and make sound technical decisions that hold up over time.
• Experience influencing technical direction across many teams without direct authority.
• Strong communication skills and you can articulate complex technical concepts to any audience and build alignment around your vision.
• A passion for mentorship and raising the capabilities of engineers around you.

Bonus points:

• Experience with Rust, Elixir, or Python in production systems.
• Expertise with distributed databases like ScyllaDB, Cassandra, or similar.
• Expertise building large scale chat products.
• History of open source contributions.

Things that might interest you:

• Our languages: Rust, Elixir, and Python.
• Our databases: ScyllaDB, Postgres and Elasticsearch.
• Our systems are deployed in Google Cloud.
• Our infrastructure teams shared many blog posts over the years. Some highlights:
• How Discord Stores Trillions of Messages
• Maxjourney: Pushing Discord’s Limits with a Million+ Online Users in a Single Server
• Modern Image Formats at Discord: Supporting WebP and AVIF
• How Discord Supercharges Network Disks for Extreme Low Latency
• Using Rust to Scale Elixir for 11 Million Concurrent Users
• Why Discord is switching from Go to Rust
• One of our engineers literally wrote the book on ScyllaDB.
• We open sourced some of our work, like our media processing library lilliput, or various Elixir utilities like manifold, sorted_set_nif and more.

Candidates must reside in or be willing to relocate to the San Francisco Bay Area (Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma counties). For this role, the hiring manager would like folks to be in the office 1 day a week. Relocation assistance may be available.

The US base salary range for this full-time position is $400,000 to $500,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

As a Senior Engineer on the Safety Experience team, you'll lead the charge in making Discord's platform safer for hundreds of millions of users. You'll design, build, and maintain product features and systems that prevent harmful activities while ensuring regulatory compliance. Keeping users safe is essential for Discord's growth, making your team's work critical. This role reports to the Engineering Manager of Safety Experience.

What you'll be doing:

• Lead development of highly‑visible, user‑facing products that protect Discord's users.
• Design, build, and deploy robust production APIs, backend services, and data pipelines to launch safety features at scale.
• Collaborate cross‑functionally with Product, Design, Policy, Data Science, ML, Legal, and T&S Operations to create solutions that are both impactful and lovable.
• Iterate on in-house tooling to supercharge our T&S workflows.
• Respond rapidly to the ever‑evolving abuse and compliance landscape.

What you should have:

• 5+ years experience writing Python and utilizing back-end API frameworks (Flask, Django).
• 5+ years experience developing front-end interfaces with JavaScript (React, TypeScript) for both web and mobile platforms.
• Familiarity with databases such as Cassandra, Postgres, and ScyllaDB.
• Demonstrated success leading end‑to‑end delivery of complex projects: breaking down ambiguity, coordinating rollouts, and aligning stakeholders.
• Demonstrated ability to troubleshoot, debug, and test complex systems in a live, production environment.
• Exceptional communication and collaboration skills, with the ability to work well with cross-functional partners, designers, and other engineers.
• Experience using metrics and dashboards to make data-driven decisions and develop insightful reports.
• Experience utilizing AI tools like Claude Code and Cursor to supercharge dev workflows

Bonus Points

• Experience in the Safety or Anti‑Abuse domain.
• Experience analyzing and visualizing data using Datadog or Mode.
• Familiarity with real‑time streaming systems like Kafka or Pub-Sub.
• Ability to contribute to offline analytics jobs and processes.
• Experience building and operating mobile‑client features on iOS and Android.
• Exposure to lower‑level languages such as Go, Rust, and Elixir.
• A strong moral compass that drives you to protect users and do the right thing.

Candidates must reside in or be willing to relocate to the San Francisco Bay Area (Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma counties). Relocation assistance may be available.

The US base salary range for this full-time position is $196,000 to $220,500 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

As a Staff Engineer on the Safety Experience team, you'll be a technical leader who autonomously delivers real business impact on large, ambiguous projects. You'll design and build product features and systems that prevent harmful activities at scale while ensuring regulatory compliance. This role requires both deep technical expertise and the ability to be a force multiplier for your team: driving engineering excellence, making solid technical decisions, and remaining a top code contributor. You'll work cross-functionally to shape the technical direction of safety initiatives that protect hundreds of millions of Discord users. This role reports to the Engineering Manager of Safety Experience.

What You'll Be Doing

• Lead development of high-impact, user-facing safety products that deliver measurable results for Discord's users.
• Own complex, multi-milestone projects end-to-end, identifying optimal solutions, navigating ambiguity and making independent technical decisions.
• Design, build, and deploy robust production APIs, backend services, and data pipelines that enable safety features to scale efficiently.
• Collaborate cross-functionally with Product, Design, Policy, Data Science, ML, Legal, and Trust & Safety Operations to create solutions that are both impactful and lovable.
• Drive engineering excellence by mentoring others and guiding the team through architectural challenges to ensure long-term scalability.
• Respond rapidly to the ever-evolving abuse and compliance landscape with strategic thinking and swift execution.

What you should have

• 8+ years of relevant industry experience, with demonstrated ability to deliver high-quality, high-impact work on complex projects.
• Strong expertise in Python and back-end API frameworks (Flask, Django).
• Strong front-end development skills with JavaScript (React, TypeScript) for web and mobile platforms.
• Significant experience in the Safety or Anti-Abuse domain with deep understanding of trust and safety challenges at scale.
• Proven track record of owning large projects end-to-end with varying degrees of ambiguity, breaking down work into well-prioritized milestones with clear dependencies.
• Demonstrated ability to make independent technical decisions that balance short-term needs with long-term sustainability and scalability.
• Experience driving engineering excellence: setting quality standards, conducting thorough code reviews, and applying an adversarial mindset to identify security, performance, and scaling issues.
• Strong communication skills with ability to provide high-quality technical feedback, drive alignment across stakeholders, and facilitate productive debates that lead to clear decisions.
• Experience using metrics and dashboards (e.g., Datadog, Mode, Faros) to make data-driven decisions and monitor system health.
• Ability to be a force multiplier for your team by mentoring others, establishing best practices, and helping teammates grow their skills.
• Experience utilizing AI tools like Claude Code and Cursor to supercharge dev workflows

Bonus Points

• Familiarity with databases such as Cassandra, Postgres, or ScyllaDB.
• Experience with real-time streaming systems like Kafka or Pub-Sub.
• Track record of building and operating native mobile features on iOS and Android.
• Experience designing and implementing monitoring strategies and on-call/on-point processes for production systems.
• Knowledge of lower-level languages such as Go, Rust, or Elixir.

Candidates must reside in or be willing to relocate to the San Francisco Bay Area (Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma counties). Relocation assistance may be available.

The US base salary range for this full-time position is $248,000 to $310,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

About the Role:

As a Software Engineer on the ML Infrastructure team, you will collaborate closely with the Machine Learning and Product teams to build world-class machine learning inference platforms. These platforms power essential services like personalized recommendations, search, and content understanding across Tubi.

A core responsibility of this team is developing and maintaining low-latency ML model serving systems that support Deep Learning, LLM, and Search models. This involves building self-service infrastructure and critical components such as the inference engine, feature store, vector store, and experimentation engine.

You will improve the way we deploy and operate our services and even contribute to open-source projects. This role grants the architectural freedom to explore new frameworks, lead critical cross-functional projects, and transform the capabilities of our ML and Product teams.

We currently have multiple openings;

• Staff Software Engineer
• Principal Software Engineer
  • Additional Details: As a Principal Engineer on the ML Infrastructure team, you will be a technical leader and visionary, driving the evolution of our machine learning platform. You will tackle the most complex and impactful technical challenges, shaping the architecture and technology choices that enable our ML capabilities to scale and deliver exceptional user experiences. You will be a key influencer, bridging the gap between engineering and product, and a mentor to senior engineers, fostering a culture of technical excellence and continuous improvement. Your work will be used by millions of users.

Responsibilities:

• Design and build scalable, high throughput, and low latency distributed systems using Scala
• Build reusable components and services that serve various ML applications like Personalization, Search, Ads and Exploration
• Partner closely with ML engineers to understand their challenges and limitations and develop scalable solutions to address them. Proactively recommend solutions to keep our ML Inference stack state of the art.
• Take a data driven approach to identifying & optimizing latency, cost, and efficiency of our infra. Lead large scale cross functional refactorings if necessary
• Mentor other engineers on the team on system design, effective incident management, interviewing, leveraging LLMs for work, etc.
• Collaborate with ML, Product, and cross functional engineering teams to define the long term vision and architecture for ML Infrastructure at Tubi.  

Your Background:

• Experience designing and building scalable, distributed systems in any modern backend language (e.g., Scala, Java, Python, Go, C++); experience with Scala or JVM based language is a plus.
• Strong experience with AWS or an equivalent cloud platform
• Experience building online microservices at scale with low latency serving
• Experience with both SQL (e.g. Postgres) and NoSQL databases (e.g. Cassandra), message brokers (e.g. Kafka), and caches (e.g. Redis)
• Experience with containerization technologies, such as Docker or Kubernetes
• Led the response and resolution efforts for multiple major, large-scale incidents

Bonus:

• Familiarity with the machine learning infrastructure like inference engines (e.g. torschserve, triton, vLLM), vector stores (e.g. LanceDB, FAISS), feature stores (e.g. Feast), ElastiCache, model training orchestration, etc.
• Understanding of ML model training pipelines and model internals. Experience with Recommender Systems, Search, Autocomplete and Ads ML is a plus
• Previous experience with Akka, Erlang, Elixir or Go
• Proficient in data-driven analysis of complex A/B testing results

About Tubi:

Tubi is a free streaming service that entertains over 100 million monthly active users. Tubi offers the world's largest collection of Hollywood movies and TV shows, thousands of creator-led stories and hundreds of Tubi Originals made for the most passionate fans. Headquartered in San Francisco and founded in 2014, Tubi is part of Tubi Media Group, a division of Fox Corporation.

#LI-Hybrid

The Challenge

We are seeking a Principal Domain Architect who will define and drive the technical vision for AI-native and agentic systems across the platform. This role combines deep system architecture expertise, AI innovation, and strategic technology leadership to build scalable, reliable, and enterprise-grade solutions. The Principal Architect will work closely with Product, AI Platform teams, Architecture Guild, and engineering leadership to guide the design of complex distributed systems, influence the product roadmap, and drive the adoption of modern AI-native architectures across the organization. This leader is expected to identify emerging engineering advancements and translate them into strategic business opportunities, while improving engineering efficiency and technical excellence across products.

Your Mission

• Define and deliver architecture for AI-native agentic systems, enabling scalable and enterprise-grade multi-agent solutions.
• Create and evaluate failure mode scenarios for agentic workflows and incorporate architectural safeguards to ensure resilience and reliability.
• Provide deep expertise in LLM architectures, prompt engineering, RAG approaches, model selection, model training, LoRA knowledge, cost optimization, performance, security, and quality considerations.
• Drive technology transformation within the domain, enabling teams to adopt modern AI-native architectures and engineering practices.
• Stay current with rapid advancements in the agentic AI ecosystem, continuously evaluating emerging frameworks, tools, and architectural patterns.
• Champion technical exploration and spikes to test new ideas, validate feasibility, and guide long-term architectural decisions.
• Collaborate closely with the AI Platform team to influence platform capabilities and ensure alignment with enterprise architecture.
• Define metrics, evaluation frameworks, and observability standards for agentic systems.
• Provide architectural guidance and oversight to engineering squads, reviewing designs and co-creating solutions for complex initiatives.
• Act as a technology leader for the domain, influencing the Architecture Guild and driving best practices across engineering teams.
• Ensure teams adopt architecture governance standards and best practices.
• Champion technical controls and disciplined engineering practices to proactively manage architectural complexity and technical debt.
• Design and build high-performance distributed systems capable of supporting enterprise workloads.
• Recognize industry trends and proactively influence the product and engineering roadmap.
• Mentor engineers and architects, strengthening the organization’s technical leadership and architectural maturity.

Architecture Leadership

• Design large-scale distributed systems and AI-powered architectures that support multiple products and integrations.
• Create and maintain architecture models, system diagrams, and technical design documentation covering current and future state architecture.
• Conceive and evolve product and service architectures ensuring scalability, reliability, and operational efficiency.
• Ensure systems are designed for high availability, performance, and ease of operations.

Strategic Technology Leadership

• Contribute to company-level engineering strategy and evaluate the business impact of emerging technologies.
• Lead engineering initiatives to improve platform capabilities and engineering productivity.
• Participate in strategic programs that impact company-wide technical direction.
• Influence cross-organizational architecture decisions and collaborate with Director and VP level stakeholders.

Engineering Excellence

• Recommend technologies and frameworks that increase engineering productivity and system reliability.
• Oversee technical aspects of major initiatives and ensure high engineering standards.
• Mentor engineers and technical leaders to strengthen system design capabilities and engineering best practices.

You Are

• A highly skilled technical leader with strong architectural vision.
• An analytical thinker with strong problem-solving and system design skills.
• A strong communicator capable of influencing leadership and cross-functional teams.
• Passionate about mentoring engineers and improving technical excellence across the organization.

Your Experience Includes

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 16+ years of software engineering experience with deep expertise in distributed systems.
• Extensive experience with Java-based development using REST APIs, Spring Boot, and microservices architectures.
• Strong experience designing distributed, asynchronous, and event-driven architectures.
• Expertise building low-latency, high-throughput data pipelines and large-scale data platforms.
• Experience with data streaming and event processing technologies such as Kafka, Kinesis, Spark, or Flink.
• Strong knowledge of data structures, algorithms, distributed algorithms, and system programming.
• Experience with fault-tolerant messaging systems such as Kafka, RabbitMQ, AMQ, or ZeroMQ.
• Experience working with distributed data stores including MongoDB, Cassandra, CockroachDB, or CouchDB.
• Experience integrating applications with search platforms such as Elasticsearch or Solr.
• Proven experience mentoring engineers and building strong engineering practices.
• Strong ability to create and maintain architecture documentation and system design artifacts.
• Excellent leadership, verbal, and written communication skills.

Extra Impressive  

• Master’s degree in Computer Science, Engineering, or related field.
• Experience running large-scale web services and distributed platforms.
• Deep understanding of system performance tradeoffs, load balancing, and high-availability architectures.
• Experience with cloud-native and serverless architectures.
• Experience designing graph-based data models and graph architectures.
• Experience building AI-native platforms or LLM-powered systems.

What You’ll Work On

As a member of the App Platform team you get to play a few different roles:

Architect: We are the ones that know how our large system should fit together.

Developer: We write lots of code. Some is purely for prototyping and what passes the prototyping phase is made ready for production and used by nearly all server teams.

Consultant: We work closely with all the server teams to understand their needs and lend assistance with the infrastructure we have built.

Leader: We need to be vocal about our experiences to internal teams as well as the outside world through blog posts, presentations and open source contributions.

Requirements

• 5+ years of experience as a software engineer
• Strong Java knowledge
• Experience working with high traffic, scalable web applications
• Solid understanding of data structures, algorithms and framework internals
• Ability to speak and write clearly and concisely
• Ability to think creatively about solutions with a focus on the long term stability of our system.
  
  

Nice-to-Have

• Experience with SOA
• Experience with at least one relational database (e.g. MySQL) and one NoSQL database (e.g. Cassandra)
• Familiarity with asynchronous messaging systems, such as Kafka and ActiveMQ
• DevOps experience

#CB2019

#LI2019

About Highnote 

Founded in 2020 by a team of leaders from Braintree, PayPal, and Lending Club, Highnote is an embedded finance company that sets the standard in modern card platform management. As an all-in-one card issuer processor and program management platform, we provide digital-first organizations with the flexibility to seamlessly issue and process payment cards, embed virtual and physical card payments, and integrate ledger and wallet functionalities—empowering businesses to drive growth and profitability.

We’ve raised $145M+ and have grown our team to 140+ employees. Headquartered in San Francisco, we’ve managed to build one of the most advanced payments teams in the industry, with team members in 25+ US states. 

Operating through our core values of customer obsession, executional excellence, intentional inclusion, we’re helping businesses grow for the future by creating the payment products demanded by tomorrow, with the ability to solve for use cases that don’t exist yet.

We are fast-moving, hands-on, and strongly believe everyone deserves a seat at the table. We believe we’re unlocking incredible opportunities that can change the future of payments, as long as we have the right people to make it happen.

Job Description

The Data Platform Team is part of the Data Organization and is responsible for designing and building modern scalable, secure and reliable data platforms and data pipelines. With the data platforms, we will be able to serve the product/customer data needs, improve operational efficiency and increase revenue.

What you’ll be doing

• Building secure and scalable data platforms that support our product/customer needs and power data driven decision making. 
• Writing high quality and robustly tested code, mostly in Java and Python.
• Understanding business/data needs and growth to build the right solutions.
• Documenting your work to support our rapidly-scaling company.
• Interfacing with internal business stakeholders and technology partners to support day to day operations and create new data products.

What we are looking for

• 8+ years experience building high volume and low latency data platform and data pipelines using distributed event technology, e.g. Pubsub, Kafka, Kinesis, etc., and data storage system, e.g. Spanner/Postgres, BigQuery, Cassandra, data lakes, etc.
• Preferred experience with BigQuery and Snowflake.
• Able to model and design modern data structures in SQL/NoSQL databases
• A history of writing scalable, performant and maintainable code
• Experience with Java >= 11 or Python >= 3.7
• Proficiency using AI-powered development tools (e.g., Claude Code) across the full software development lifecycle - including design, prototyping, development, testing, and iteration. A demonstrated passion for AI-driven development, a commitment to continuously advancing AI skills, and a drive to push the boundaries of productivity and engineering outcomes.

Bonus skills

• Experience with cloud platforms such as GCP or AWS
• Docker and Kubernetes
• Able to model and design modern data structured in data lakes and data warehouses
• A background in the fin-tech space

Why Highnote?

• We’re a startup that allows for our employees to truly build from the ground up and impact every layer of our organization. 
• We’re a team of payments obsessed individuals. While some of us come from the fintech world, some of us don’t. We value the varied backgrounds and the diverse perspectives of our employees. 
• We’re small on hierarchy and big on growth. We’re a flat organization that allows everyone to have direct exposure to our leadership team. We are looking for builders who thrive in ambiguity. 
• We’re backed by Oak HC/FT, Costanoa Ventures, Adams Street Partners, Westcap, and Pinegrove Venture Partners. Angel Investors include Bill Ready (CEO at Pinterest) and Renaud Laplanche (Co-Founder & CEO of Upgrade).

Highnote benefits

• Flexible Paid Time Off
• 100% healthcare coverage + 75% coverage for dependents
• 401k program
• Paid Parental Leave: Up to 16 weeks paid leave for the birth parent, and up to 6 weeks paid leave for the non-birth parent
• Equity in Highnote
• Stipend to build out your home office; internet reimbursement
• At Highnote we have built a total rewards philosophy that includes fair, equitable, geo-based compensation that is performance and potential based. Our compensation packages are competitive based on robust market research and are a combination of a cash salary, equity, and benefits. In compliance with the Equal Pay for Equal Work Act, the annual salary range for applicants is $170,000-$230,000.

Please note that positions located in San Francisco are hybrid and include core working days of Monday, Tuesday, Wednesday, Thursday in office.  We provide flexible work options based on distance from our downtown SF office. Highnote believes in the power of face-to-face, personal connection. As a result, we prioritize in-person candidates.

Highnote is a diverse and inclusive company committed to growing a diverse and inclusive team. We invite people from all backgrounds and identities to apply. We do not discriminate based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other characteristics protected by US federal state or local laws, or the laws of the country or jurisdiction where you work. Additionally, we encourage everyone to share which pronouns you wish for us to use when addressing you (i.e.: she/her, he/him, they/them, etc).

Company Overview

Maven Robotics is building the world’s leading general-purpose AI robots.

We are currently operating in stealth and are growing the world’s best team in AI robotics. We are looking for self-starters that are the world’s best in their field, who can innovate from a deep understanding of the fundamentals, and who share our values of unwavering truth seeking and integrity, humility, curiosity, and relentless determination.

Role Description

We are looking to recruit an exceptional Software Engineer - Software Development and Machine Learning Operations to build and maintain the infrastructure that supports our software development, machine learning models, and AI operations.

In this role you will:

• Design, implement, and manage CI/CD pipelines to facilitate seamless code integration and deployment.
• Monitor and optimize system performance, availability, and security.
• Automate infrastructure orchestration and configuration management using tools such as Kubernetes, Ansible, and similar.
• Configure and maintain data infrastructure appliances.
• Troubleshoot and resolve issues related to applications, infrastructure, and deployments.
• Work closely with our development and AI teams to deliver solutions that increase efficiency and stability.

Qualifications

Must-have:

• BS or MS in software engineering, computer science, or a related field.
• Proven experience standing up a CI/CD system from scratch.
• Experience with multi-language build systems (e.g., Bazel, Bob).
• Proficiency with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
• Experience with automation tools (e.g., Terraform, Ansible, GitHub Actions, Jenkins) and version control systems (e.g., Git).
• Strong programming skills in languages such as Python, Go, or Java.
• Self-starter attitude with strong ability to identify problems, prioritize them, then plan and execute working solutions.
• Enthusiasm for working in a fast paced startup environment and eagerness to support the team on a variety of topics.

Nice-to-have:

• Experience with MLOps platforms (e.g., MLflow, Kubeflow, or SageMaker).
• Knowledge of big data technologies (e.g., Hadoop, Spark, or Kafka).
• Experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack).
• Understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, or Scikit-Learn).
• Experience with edge computing and IoT device management.
• Knowledge of security best practices and compliance standards in AI/ML environments.
• Proficiency in database management systems (e.g., PostgreSQL, MongoDB, or Cassandra).
• Experience with infrastructure-as-code tools (e.g., CloudFormation, Pulumi).
• Knowledge of GitOps practices and tools (e.g., ArgoCD, Flux).

Role Overview

We’re looking for a Full-Stack AI Engineer to join our team, where you’ll build the next generation of tools for developing, evaluating, and training state-of-the-art AI systems. You will own features end to end—from user-facing experiences and APIs to backend services, data models, and infrastructure. 

You’ll be at the heart of our applied AI efforts, with a particular focus on human-in-the-loop systems used to generate high-quality training data for Large Language Models (LLMs) and AI agents. This includes building a platform that enables us and our customers to create and evaluate data, as well as systems that leverage LLMs to assist with reviewing, scoring, and improving human submissions.

Your Impact

• Own End-to-End Product Features
  Design, build, and ship complete workflows spanning frontend UI, APIs, backend services, databases, and production infrastructure.
• Enable Human-in-the-Loop AI Training
  Build systems that allow humans to efficiently create, review, and curate high-quality training and evaluation data used in AI model development.
• Support RLHF and Preference Data Workflows
  Design and implement tooling that supports RLHF-style pipelines, including task generation, human review, scoring, aggregation, and dataset versioning.
• Leverage LLMs in the Review Loop
  Build systems that use LLMs to assist human reviewers—such as automated checks, critiques, ranking suggestions, or quality signals—while maintaining human oversight.
• Advance AI Evaluation
  Design and implement evaluation frameworks and interactive tools for LLMs and AI agents across multiple data modalities (text, images, audio, video).
• Create Intuitive, Reviewer-Focused Interfaces
  Build thoughtful, efficient user interfaces (e.g., in React) optimized for high-throughput human review, quality control, and operational workflows.
• Architect Scalable Data & Service Layers
  Design APIs, backend services, and data schemas that support large-scale data creation, review, and iteration with strong guarantees around correctness and traceability.
• Solve Ambiguous, Real-World Problems
  Translate loosely defined operational and research needs into practical, scalable, end-to-end systems.
• Ensure System Reliability
  Participate in on-call rotations to monitor, troubleshoot, and resolve issues across the full stack.
• Elevate the Team
  Improve engineering practices, development processes, and documentation. Share knowledge through technical writing and design discussions.

What You Bring

• Bachelor’s degree in Computer Science, Data Engineering, or a related field.
• 2+ years of experience in a software or machine learning engineering role.
• A proactive, product-focused mindset and a high degree of ownership, with a passion for building solutions that empower users.
• Experience using frontend frameworks like React/Redux and backend systems and technologies like Python, Java, GraphQL; familiarity with NodeJS and NestJS is a plus.
• Knowledge of designing and managing scalable database systems, including relational databases (e.g., PostgreSQL, MySQL), NoSQL stores (e.g., MongoDB, Cassandra), and cloud-native solutions (e.g., Google Spanner, AWS DynamoDB).
• Familiarity with cloud infrastructure like GCP (GCS, PubSub) and containerization (Kubernetes) is a plus.
• Excellent communication and collaboration skills.
• High proficiency in leveraging AI tools for daily development (e.g., Cursor, GitHub Copilot).
• Comfort and enthusiasm for working in a fast-paced, agile environment where rapid problem-solving is key.A focus on writing clean, well-tested code and delivering your work on time.

Bonus Points

• Experience building tools for AI/ML applications, particularly for data annotation, monitoring, or agent evaluation.
• Familiarity with data infrastructure components such as data pipelines, streaming systems, and storage architectures (e.g., Cloud Buckets, Key-Value Stores).
• Previous experience with search engines (e.g., ElasticSearch).
• Experience in optimizing databases for performance (e.g., schema design, indexing, query tuning) and integrating them with broader data workflows.

Engineering at Labelbox

At Labelbox Engineering, we're building a comprehensive platform that powers the future of AI development. Our team combines deep technical expertise with a passion for innovation, working at the intersection of AI infrastructure, data systems, and user experience. We believe in pushing technical boundaries while maintaining high standards of code quality and system reliability. Our engineering culture emphasizes autonomous decision-making, rapid iteration, and collaborative problem-solving. We've cultivated an environment where engineers can take ownership of significant challenges, experiment with cutting-edge technologies, and see their solutions directly impact how leading AI labs and enterprises build the next generation of AI systems.

Our Technology Stack

Our engineering team works with a modern tech stack designed for scalability, performance, and developer efficiency:

• Frontend: React.js with Redux, TypeScript
• Backend: Node.js, TypeScript, Python, some Java & Kotlin
• APIs: GraphQL
• Cloud & Infrastructure: Google Cloud Platform (GCP), Kubernetes
• Databases: MySQL, Spanner, PostgreSQL
• Queueing / Streaming: Kafka, PubSub

What we are looking for

Equilibrium Energy is building the platform that will power the clean energy transition. As a Staff/ Sr Staff Software Engineer- Data Engineering, you will play a critical role in shaping our long-term data architecture. You’ll lead the design and implementation of high-impact data initiatives that support energy trading, forecasting, and AI development.

This is a hands-on role that blends platform engineering, advanced data processing, and cross-functional collaboration. You’ll help scale our systems to enable near real-time decision-making and empower traders, data scientists, and operators to move faster with confidence.

What you will do

• Design and implement the long-term data architecture using modern technologies and frameworks.
• Build and maintain scalable ETL/ELT pipelines in Python, SQL, and dbt—ingesting data via APIs, web scraping, and streaming sources.
• Develop and operate data pipelines using orchestration frameworks such as Temporal and Dagster.
• Design data models and schemas for our cloud warehouse (Databricks) and relational databases; contribute to the development of our ML feature store.
• Optimize workflows for performance and cost efficiency.
• Drive large, cross-functional data initiatives from planning to execution.
• Partner with AI and engineering teams to ensure high-quality datasets for machine learning and analytics.
• Collaborate with product managers, scientists, and engineers to gather requirements and deliver robust data products.
• Mentor other engineers in best practices for data ingestion, architecture, and scalable pipeline design.
• Support the software testing cycle, debug code, and resolve issues found during QA or user acceptance testing.

The minimum qualifications you’ll need

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field.
• 7+ years of progressive experience in data or software engineering.
• Advanced programming skills in Python and SQL.
• Experience building globally distributed data systems and real-time pipelines.
• Hands-on with orchestration/stream processing tools like Temporal, Dagster, Airflow, Spark, or Kafka.
• Strong knowledge of relational and NoSQL databases (e.g., Postgres, MySQL, MongoDB, ElasticSearch, Cassandra).
• Familiarity with data warehousing and cloud computing (Databricks and AWS preferred).
• Experience mentoring engineers and providing architectural direction.
• Strong analytical skills, with the ability to work with unstructured or ambiguous datasets.
• Commitment to data quality, testing, and observability.
• Experience with both OLTP and OLAP data processing systems

Nice to have additional skills

• Experience with energy market data or weather data sources (e.g., NWS, NOAA, Yes Energy).
• Experience using dbt for transformations and data quality checks.
• Collaborating with data science teams to build and productionize ML pipelines.
• Familiarity with DataOps practices and CI/CD for data workflows.
• Knowledge of real-time data technologies, graph databases, or unstructured data processing.
• Understanding of power systems, grid operations, or financial aspects of energy trading.

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