Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Before Stripe, every growing internet platform had a payments team. Today, every growing internet platform has an Identity team. Identity verification has become core economic infrastructure for online businesses — enabling them to digitally verify their users' identities for fraud prevention, regulatory compliance, and trust and safety purposes.

At Stripe, we're building something more ambitious than a verification product. Our vision is to build the world's most trusted store of verified identities — a single, global, reusable, risk-scored representation of every individual who interacts with Stripe and beyond. This Identity Store becomes a platform with compounding network effects: more verifications enrich the store; a richer store produces better fraud signals; better signals mean lower friction for trusted users; lower friction drives more adoption.

Our product today serves millions of verifications per month for customers like OpenAI, Shopify, and WhatNot, and powers identity verification across multiple internal Stripe products including Fraud, Link, Connect, and Crypto. The problems ahead — adversarial AI and deepfake defense, networked identity infrastructure, progressive verification platforms, and low friction KYC APIs — sit at the frontier of what's possible in identity engineering.

What you’ll do

As a Staff Engineer on the Identity team, you will own the technical direction of one of Stripe's most strategically important product areas. This is not a role defined by task execution — it's a role defined by technical judgment, architectural influence, and the ability to turn an ambitious vision into a reliable, scalable system.

Responsibilities

• Own technical strategy — Define the architecture for Identity's core systems (Identity Store, headless verification platform, fraud detection infrastructure), make build-vs-buy-vs-partner decisions, and surface technical risks before they become customer-facing failures
• Lead 0-1 platform development — Architect net-new systems including the Identity Store, Networked Identity platform, and advanced fraud detection pipeline (behavioral biometrics, deepfake discriminators, adversarial training). Drive the evolution from a hosted-UI product to a headless-API and embedded-components platform
• Drive cross-functional alignment — Be the primary technical voice in roadmap and resourcing discussions. Partner with ML, product, legal, and engineering leads across Risk, Fraud, Link, Connect, and Crypto to ensure Identity's abstractions serve the full breadth of Stripe's product surface
• Raise the technical bar — Set engineering standards across ML, backend, mobile, and front-end; lead design reviews; and mentor senior engineers on the judgment needed to operate a high-stakes, externally-facing product
• Operate with ownership — Be accountable for reliability, scalability, and security of the systems you design — including the observability and alerting that catch model drift and fraud pattern shifts before customers do

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 10+ years of software engineering experience, including 5+ years of experience in a strategic technical leadership role.
• Experience leading engineering team(s) working on API design, abstractions, frameworks, or client libraries (e.g. building internal or external developer products). 
• Proven track record of delivering pragmatic solutions that accelerate business growth 
• Ability to adjust conversations from high-level discussions to detailed coding 
• Thrives on a high level of autonomy and responsibility 
• Clear and persuasive writing and in-person communication 
• Strong problem-solving skills, critical thinking, determination, and a growth mindset 
• Ability to work effectively with a diverse group of people, genuinely caring for each other and contributing to high level of psychological safety for all team members and partner
• Has experience in a range of software languages and frameworks. Examples of what we work with include:
• Languages: primarily Ruby and Typescript, but also Python, Scala, Java, Go, and SQL (Spark and Trino dialects)
• Frameworks: React, GraphQL Kafka, Protobuf, Airflow, Bazel, Temporal, 
• Others: Mongo, Splunk, Prometheus

Preferred qualifications

• Experience with identity verification, fraud detection, or trust and safety systems — especially systems with adversarial inputs at scale
• Familiarity with ML systems in production: model serving, training pipelines, observability, drift detection, and the feedback loops that keep models accurate under adversarial conditions
• Experience building platform products with multiple consumer types — internal platform teams and external developers — where API backward compatibility and abstraction quality are first-class concerns
• Prior experience with 0-1 product builds: you've started with a blank page and ended with a production system, and you have clear opinions about what makes that process go well or poorly
• Exposure to the technical stack we work with: primarily Ruby and TypeScript on the backend and web, Python for ML and data pipelines, with infrastructure spanning Kafka, Temporal, Protobuf, React, and distributed data stores
• Experience navigating ambiguity in a fast-moving organization — you can make confident technical decisions with incomplete information and update gracefully when new constraints emerge

Why Stripe Identity

• The market is at an inflection point. The global identity verification market is growing at ~15% CAGR, from $12.5B in 2024 to $21.8B by 2028. Competitors have more features today — but none of them have Stripe's moat: payments signals, fraud network, consumer graph, and KYC data spanning the full financial ecosystem. We're building to win the next decade, not the last one.
• The problems are genuinely hard. Adversarial ML against deepfakes and face swaps. Distributed identity graph architecture with real-time freshness requirements. Progressive verification APIs that minimize friction without sacrificing fraud detection accuracy. These are unsolved problems — not just at Stripe, but in the industry.
• You'll work on systems that matter immediately. The verifications we run protect real users from real fraud. When our recall improves by 10 points, that's millions of dollars in prevented fraud losses for customers who rely on us. When our mobile SDK completion rate rises, thousands more legitimate users successfully onboard each month.
• The team is small enough that your judgment shapes the architecture. This isn't a role where you inherit decisions made five years ago. It's a role where the decisions you make in 2026 are the ones the team will build on through 2029.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

The Stream Compute team at Stripe builds and operates the infrastructure, tooling, and systems behind our Flink-powered stream processing systems. We're at the heart of several core asynchronous workflows, operating at significant scale and handling vast amounts of sensitive financial data. Our work powers intricate processes involving various critical financial operations and real-time analytics. We run globally distributed systems with high reliability and performance to meet Stripe's scaling, availability, and product needs, and we continually reduce operational toil by investing in automation and self-service tooling for upgrades, maintenance, and day-to-day operations. The team is distributed between Seattle, Toronto and remote locations.

What makes our team truly exciting is our commitment to our users: we ensure no event is dropped, state integrity is preserved, and support exactly-once processing as a first-class feature. Working at the intersection of real-time data processing and fintech innovation, we continuously push the boundaries of what's possible. Our focus on innovation, user experience, reliability, and compliance drives increased ROI and operational excellence, making us a crucial part of Stripe's success.

What you'll do

You'll help define and deliver the next generation of Stripe's Flink-first stream compute infrastructure—driving innovation to meet extremely high availability targets at global scale. Partnering with infrastructure engineers, adjacent platform teams, and the product orgs that depend on Flink every day, you'll set a long-term technical direction that scales with Stripe's growth while enabling reliable, efficient operations for years to come. You'll work on the hardest problems in operating Flink in production—state management, exactly-once processing, performance isolation, and automated recovery—so teams across Stripe can confidently build stateful stream processing applications on top of it.

Responsibilities

• Design, build, and operate stream compute infrastructure with Apache Flink at the center, alongside technologies like Kafka, Temporal, and AWS services
• Partner with product and platform teams across Stripe to understand requirements, unblock Flink adoption, and improve how stream processing infrastructure is used end-to-end
• Define and implement operational best practices (e.g., shuffle sharding, cellular architecture, load shedding, automated state recovery) to improve resilience and reliability at scale
• Drive fleet-level automation and standardization ("pets" to "cattle") through self-service workflows, safer rollouts, and self-healing systems that reduce manual operations
• Lead initiatives that raise the bar on Flink availability and state durability (e.g., multi-region strategies, disaster recovery readiness, operational readiness reviews, incident learning)
• Evaluate and productionize Flink ecosystem capabilities (e.g., SQL, connectors, state backends) to improve developer experience and scalability without compromising reliability
• Work closely with the open source community to identify opportunities for adopting new open source features as well as contribute back to OSS

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• This is a Staff-level role - that typically means 10+ years of experience building, operating, and evolving large-scale production systems
• Experience as a technical lead for team(s) working on distributed systems, including scaling them in fast-moving environments
• Hands-on experience with big data technologies such as Flink, Spark, Kafka, Pulsar, or Pinot
• Experience developing, maintaining and debugging distributed systems built with open source tools
• Experience building and scaling infrastructure as a product
• Strong software engineering skills and a passion for Big Data Distributed Systems
• Ability to write high quality code (in programming languages like Go, Java, Scala, etc)
• Comfortable operating with high autonomy and ownership
• Growth mindset and a willingness to learn quickly, explore ambiguous problem spaces, and dive deep when needed
• Strong written and verbal communication skills, including the ability to produce clear technical documentation

Preferred qualifications

• Experience operating streaming infrastructure as a platform (e.g., Flink clusters, Kafka, Pulsar) for internal customers at scale
• Deep hands-on experience authoring, optimizing, and operating real-time processing frameworks such as Flink, Spark Streaming, Storm, or Kafka Streams in production
• Experience building or operating control planes for managing large-scale infrastructure
• Open source contributions to data processing or big data systems (Hadoop, Spark, Celeborn, Flink, etc)

About GlossGenius

GlossGenius is building an ecosystem enabling entrepreneurs to succeed.  We empower small business owners to focus on being creators, not admins, by offering a range of business management tools including booking and scheduling, marketing, analytics, payment processing and much more. 

Over 100,000 small business owners have chosen to rely on GlossGenius every day to run their entire set of business operations. Joining its powerful, intuitive platform with its vibrant, distinguished brand, GlossGenius is the ideal combination of a fintech, SMB software, and consumer company all in one.

About the Role

As we continue to scale, we’re strengthening our Data Engineering team. The primary focus of this role is to reimagine the data infrastructure to support our AI platform. This transformation will be critical to the success of our future products, and vital in delivering value to our 100,000+ business owners

You must be commutable to our NYC or SF headquarters. We default to being in-office 3-4 days per week with required attendance on Tuesdays and Thursdays.

What You’ll Do:

As an Software Engineer, Data Platform, you'll be both a hands-on technical expert and a strategic leader. You'll drive the design of core data models and pipelines in our Snowflake and Clickhouse lakehouse, setting the standards for quality, reliability, and scalability across the platform.

You'll own end-to-end solutions—from architecture and implementation to operations and optimization—while helping guide the long-term direction of GlossGenius' data ecosystem. You'll collaborate across teams to turn complex business problems into robust data solutions, mentor engineers to help them grow and deliver at a higher level, and help the team evolve toward a fully governed lakehouse with fine-grained access controls and consistent lineage.

• Design and implement core data models and pipelines that power analytics, ML, and product experiences
• Implement modern data lake orchestration patterns, including medallion architectures
• Architect and evolve a scalable, cost-efficient, and reliable lakehouse foundation using Snowflake, Clickhouse, and orchestration tools
• Define best practices and technical standards that improve data quality, governance, and performance across teams
• Mentor engineers and foster a culture of ownership, operational excellence, and continuous learning
• Shape the long-term technical vision and roadmap for GlossGenius' data platform

What We’re Looking For

• 5+ years of experience in data engineering, with a strong background in data architecture, data modeling, and distributed data systems
• Deep expertise in modern lakehouse technologies such as Snowflake and Clickhouse
• Experience implementing modern data orchestration patterns for big data use-cases, including batch and streaming workloads
• Advanced proficiency in SQL and Python or Scala, including performance optimization and large-scale ETL design
• Familiarity with AI/ML workflows and the data infrastructure that supports them, you understand what it takes to move data from raw ingestion to model-ready, and ideally have experience building pipelines that feed or serve ML models in production
• Demonstrated ability to lead technical initiatives, set standards, and influence decisions across teams
• Comfort owning systems end-to-end, including monitoring, reliability, and cost management
• Excellent communication skills with the ability to translate technical trade-offs to both engineers and non-technical stakeholders

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 Opportunity

At Zeta Global, identity is at the core of our marketing cloud. The Identity team builds and operates backend services that power the Zeta Identity Graph - collecting, resolving, and maintaining billions of behavioral, demographic, and transactional signals. These services enable people-based marketing at scale, ensure trust and transparency in how identity data is managed, and provide critical APIs and event streams consumed across Zeta’s platform. Our systems support more than 235 million consumer profiles and process billions of events monthly, requiring services that are highly available, low-latency, and built to scale

We are looking for a Lead Software Engineer who brings strength in both backend distributed systems and data engineering. In this role, you’ll design APIs and event-driven services, scale our systems to handle rapidly growing data volumes, and modernize our platform for resilience, transparency, and performance.

You Will:

• Design and build backend services and APIs for identity resolution, graph transparency, and integrations.
• Develop and optimize event-driven pipelines and workflows processing billions of signals.
• Deploy and operate cloud-native services on EKS/Kubernetes, leveraging Helm for repeatable deployments.
• Ensure reliability, observability, and scalability across services and data pipelines.
• Collaborate across engineering, product, and data teams to deliver end-to-end identity solutions.
• Mentor engineers and influence architecture and roadmap

You Have:

• 5+ years of experience in backend and/or data engineering at scale.
• Strong skills in Python, Java, or Scala, with expertise in APIs, distributed systems, and event-driven design.
• Hands-on experience with Kafka (or similar), Spark/Hive/Flink, and workflow schedulers (Airflow/Luigi).
• Proficiency with Kubernetes (EKS preferred) and deployment practices (Helm, service meshes).
• Solid knowledge of SQL, data modelling, and cloud platforms (AWS).
• Familiarity with columnar / NoSQL databases (Aerospike, Snowflake, HBase, Scylla, Couchbase).
• Strong communication skills and a track record of driving technical direction and mentoring teams.

Bonus Skills:

• Experience with large-scale or multi-tenant distributed systems.
• Exposure to real-time streaming frameworks (Flink, Storm).
• Knowledge of open table formats (Iceberg, Hudi, Delta Lake).
• Background in security, compliance, or privacy related to identity systems.

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 $150,000 - $200,000, 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-DD1

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

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 Opportunity

At Zeta Global, identity is at the core of our marketing cloud. The Identity team builds and operates backend services that power the Zeta Identity Graph - collecting, resolving, and maintaining billions of behavioral, demographic, and transactional signals. These services enable people-based marketing at scale, ensure trust and transparency in how identity data is managed, and provide critical APIs and event streams consumed across Zeta’s platform. Our systems support more than 235 million consumer profiles and process billions of events monthly, requiring services that are highly available, low-latency, and built to scale

We are looking for a Lead Software Engineer who brings strength in both backend distributed systems and data engineering. In this role, you’ll design APIs and event-driven services, scale our systems to handle rapidly growing data volumes, and modernize our platform for resilience, transparency, and performance.

You Will:

• Design and build backend services and APIs for identity resolution, graph transparency, and integrations.
• Develop and optimize event-driven pipelines and workflows processing billions of signals.
• Deploy and operate cloud-native services on EKS/Kubernetes, leveraging Helm for repeatable deployments.
• Ensure reliability, observability, and scalability across services and data pipelines.
• Collaborate across engineering, product, and data teams to deliver end-to-end identity solutions.
• Mentor engineers and influence architecture and roadmap

You Have:

• 5+ years of experience in backend and/or data engineering at scale.
• Strong skills in Python, Java, or Scala, with expertise in APIs, distributed systems, and event-driven design.
• Hands-on experience with Kafka (or similar), Spark/Hive/Flink, and workflow schedulers (Airflow/Luigi).
• Proficiency with Kubernetes (EKS preferred) and deployment practices (Helm, service meshes).
• Solid knowledge of SQL, data modelling, and cloud platforms (AWS).
• Familiarity with columnar / NoSQL databases (Aerospike, Snowflake, HBase, Scylla, Couchbase).
• Strong communication skills and a track record of driving technical direction and mentoring teams.

Bonus Skills:

• Experience with large-scale or multi-tenant distributed systems.
• Exposure to real-time streaming frameworks (Flink, Storm).
• Knowledge of open table formats (Iceberg, Hudi, Delta Lake).
• Background in security, compliance, or privacy related to identity systems.

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 $150,000 - $200,000, 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-DD1

The opportunity
At Unity, we’re committed to building a culture that fosters collaboration and innovation. Within our fast-paced environment, we’re tackling complex challenges that drive meaningful impact for creators and users across our ecosystem.

Our Vector team plays a central role in this effort by developing state-of-the-art conversion rate (CVR) prediction and market price models that power our ad ranking and recommendation systems. These models help advertisers reach the right users at the right time by accurately estimating engagement and conversion likelihood. By leveraging large-scale behavioral data, creative features, and contextual signals, we continuously improve the relevance and accuracy of our predictions. This drives key outcomes such as higher user engagement, stronger conversion performance, and better return on ad spend — enabling advertisers to achieve their goals while delivering a better experience for users.

We are seeking a highly skilled Senior ML Engineer to drive state-of-the-art bidding optimization systems that enable efficient budget pacing, goal-aligned automated strategies, continual improvement through experimentation, and sustainable growth for Unity Ads.

What you'll be doing

• Design, implement, and maintain high-performance CTR and CVR prediction models that power ad ranking and recommendation systems.
• Build and refine systems for creative understanding and user behavior modeling, enabling more accurate and context-aware engagement predictions.
• Ensure model quality and reliability by continuously monitoring performance, calibrating predictions, and addressing data drift or delayed feedback.
• Actively participate and work with other leads to set the long term direction for the team, plan and oversee engineering designs and project execution.
• Effectively communicate complex technical concepts to non-engineering stakeholders.

What we're looking for

• Advanced degree (MS or Ph.D.) in Computer Science, Machine Learning, Statistics, related field, or equivalent practical experience.
• 5+ years of hands-on experience building and operating large-scale Ads delivery and optimization systems.
• 3+ years of experience building CTR/CVR systems, content understanding, or behavior modeling systems.
• Significant experience in one or more general-purpose programming languages like Python, Go, Scala, C++ or similar.
• Knowledge of metric design, experimentation methodologies, and large-scale data analysis.

You might also have

• Experience designing and productionizing optimization algorithms in an ad serving platform and/or other marketplaces.
• Experience with state-of-the-art control systems, reinforcement learning algorithms.
• Experience embracing AI as a strategic advantage in engineering, following established best practices for code quality and security.

Additional information

• International relocation support is not available for this position

Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity

Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

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

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this Web site or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#SEN #LI-AR1

The opportunity
At Unity, we are building a world-class ad-tech ecosystem that connects billions of users with the creators and experiences they love. The Advertiser Growth team is the engine of this mission, ensuring that as our marketplace expands, advertisers have the intelligent tools, robust infrastructure, and rigorous experimentation frameworks needed to scale their impact.

In 2026, our roadmap is defined by three transformative pillars: Foundation, Smart, and Intelligence. This role is unique in its technical breadth, sitting at the intersection of financial execution, creative innovation, and marketplace science. You will architect the GenAI systems that build high-performing creatives, design the pacing algorithms that manage multi-million dollar budgets, ensure our billing pipelines handle massive scale with zero-fault tolerance, and build the experimentation infrastructure that allows us to scientifically evolve the marketplace. This is a high-stakes role where your technical leadership directly governs Unity’s financial integrity and the long-term growth of our ecosystem.

What you'll be doing

• Next-Gen budget pacing: Design and optimize sophisticated pacing controllers (PID, probabilistic forecasting) to smooth advertiser spend across diverse time zones and traffic spikes, ensuring optimal delivery and marketplace stability.
• Creative GenAI infrastructure: Lead the backend integration of Generative AI models (Diffusion, LLMs) to automate the creation of high-performing image and video assets tailored to specific campaign goals and formats.
• Marketplace experimentation engine: Build and scale the infrastructure for high-velocity experimentation, including A/B testing, switchback tests, and long-term holdouts to measure the impact of marketplace changes on advertiser ROI and platform health.
• High-Scale billing reliability: Architect and maintain high-throughput billing pipelines that process billions of events with 100% accuracy, bridging the gap between real-time ad delivery and mission-critical financial reconciliation.
• Scientific optimization: Analyze complex financial and marketplace datasets to refine the trade-off between spend velocity and advertiser performance, using experimentation results to tune pacing and billing logic.

What we're looking for

• Advanced degree in computer science or relevant engineering-related field or equivalent experience.
• 6+ years of software engineering experience, including 3+ years working on ads delivery systems.
• Extensive experience building and operating large-scale, low-latency backend systems using languages like Java, Go, or Scala.
• Deep familiarity with building or maintaining budget control systems, feedback loops, or spend-prediction algorithms.
• Proven experience building or scaling experimentation platforms, with a deep understanding of variance reduction, interference/network effects, and metric design in a marketplace context.
• A track record of working on "mission-critical" pipelines (like billing, payments, or clearinghouses) where data precision, idempotency, and fault tolerance are paramount.
• Experience or strong technical interest in building the backend workflows required to serve, scale, and store Generative AI models for creative asset generation.
• Proficiency with real-time stream processing (Kafka, Flink, or Spark) specifically applied to event-based charging and real-time performance feedback.
• A proven ability to lead complex, multi-quarter technical roadmaps and mentor senior engineers in a high-growth environment.

You might also have

• Experience embracing AI as a strategic advantage in engineering, following established best practices for code quality and security.

Additional information

• Relocation support is not available for this position

Life at Unity

Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. Therefore, we provide employment opportunities without regard to age, race, color, ancestry, national origin, disability, gender, or any other protected status in accordance with applicable law. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#SEN #LI-AR1

The opportunity
At Unity, we are building a world-class ad-tech ecosystem that connects billions of users with the creators and experiences they love. The Advertiser Growth team is the engine of this mission, ensuring that as our marketplace expands, advertisers have the intelligent tools, robust infrastructure, and rigorous experimentation frameworks needed to scale their impact.

In 2026, our roadmap is defined by three transformative pillars: Foundation, Smart, and Intelligence. This role is unique in its technical breadth, sitting at the intersection of financial execution, creative innovation, and marketplace science. You will architect the GenAI systems that build high-performing creatives, design the pacing algorithms that manage multi-million dollar budgets, ensure our billing pipelines handle massive scale with zero-fault tolerance, and build the experimentation infrastructure that allows us to scientifically evolve the marketplace. This is a high-stakes role where your technical leadership directly governs Unity’s financial integrity and the long-term growth of our ecosystem.

What you'll be doing

• Next-Gen budget pacing: Design and optimize sophisticated pacing controllers (PID, probabilistic forecasting) to smooth advertiser spend across diverse time zones and traffic spikes, ensuring optimal delivery and marketplace stability.
• Creative GenAI infrastructure: Lead the backend integration of Generative AI models (Diffusion, LLMs) to automate the creation of high-performing image and video assets tailored to specific campaign goals and formats.
• Marketplace experimentation engine: Build and scale the infrastructure for high-velocity experimentation, including A/B testing, switchback tests, and long-term holdouts to measure the impact of marketplace changes on advertiser ROI and platform health.
• High-Scale billing reliability: Architect and maintain high-throughput billing pipelines that process billions of events with 100% accuracy, bridging the gap between real-time ad delivery and mission-critical financial reconciliation.
• Scientific optimization: Analyze complex financial and marketplace datasets to refine the trade-off between spend velocity and advertiser performance, using experimentation results to tune pacing and billing logic.

What we're looking for

• Advanced degree in computer science or relevant engineering-related field or equivalent experience.
• 6+ years of software engineering experience, including 3+ years working on ads delivery systems.
• Extensive experience building and operating large-scale, low-latency backend systems using languages like Java, Go, or Scala.
• Deep familiarity with building or maintaining budget control systems, feedback loops, or spend-prediction algorithms.
• Proven experience building or scaling experimentation platforms, with a deep understanding of variance reduction, interference/network effects, and metric design in a marketplace context.
• A track record of working on "mission-critical" pipelines (like billing, payments, or clearinghouses) where data precision, idempotency, and fault tolerance are paramount.
• Experience or strong technical interest in building the backend workflows required to serve, scale, and store Generative AI models for creative asset generation.
• Proficiency with real-time stream processing (Kafka, Flink, or Spark) specifically applied to event-based charging and real-time performance feedback.
• A proven ability to lead complex, multi-quarter technical roadmaps and mentor senior engineers in a high-growth environment.

You might also have

• Experience embracing AI as a strategic advantage in engineering, following established best practices for code quality and security.

Additional information

• Relocation support is not available for this position

Life at Unity

Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. Therefore, we provide employment opportunities without regard to age, race, color, ancestry, national origin, disability, gender, or any other protected status in accordance with applicable law. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#SEN #LI-AR1

The opportunity
At Unity, we are building a world-class ad-tech ecosystem that connects billions of users with the creators and experiences they love. The Advertiser Growth team is the engine of this mission, ensuring that as our marketplace expands, advertisers have the intelligent tools, robust infrastructure, and rigorous experimentation frameworks needed to scale their impact.

In 2026, our roadmap is defined by three transformative pillars: Foundation, Smart, and Intelligence. This role is unique in its technical breadth, sitting at the intersection of financial execution, creative innovation, and marketplace science. You will architect the GenAI systems that build high-performing creatives, design the pacing algorithms that manage multi-million dollar budgets, ensure our billing pipelines handle massive scale with zero-fault tolerance, and build the experimentation infrastructure that allows us to scientifically evolve the marketplace. This is a high-stakes role where your technical leadership directly governs Unity’s financial integrity and the long-term growth of our ecosystem.

What you'll be doing

• Next-Gen budget pacing: Design and optimize sophisticated pacing controllers (PID, probabilistic forecasting) to smooth advertiser spend across diverse time zones and traffic spikes, ensuring optimal delivery and marketplace stability.
• Creative GenAI infrastructure: Lead the backend integration of Generative AI models (Diffusion, LLMs) to automate the creation of high-performing image and video assets tailored to specific campaign goals and formats.
• Marketplace experimentation engine: Build and scale the infrastructure for high-velocity experimentation, including A/B testing, switchback tests, and long-term holdouts to measure the impact of marketplace changes on advertiser ROI and platform health.
• High-Scale billing reliability: Architect and maintain high-throughput billing pipelines that process billions of events with 100% accuracy, bridging the gap between real-time ad delivery and mission-critical financial reconciliation.
• Scientific optimization: Analyze complex financial and marketplace datasets to refine the trade-off between spend velocity and advertiser performance, using experimentation results to tune pacing and billing logic.

What we're looking for

• Advanced degree in computer science or relevant engineering-related field or equivalent experience.
• 6+ years of software engineering experience, including 3+ years working on ads delivery systems.
• Extensive experience building and operating large-scale, low-latency backend systems using languages like Java, Go, or Scala.
• Deep familiarity with building or maintaining budget control systems, feedback loops, or spend-prediction algorithms.
• Proven experience building or scaling experimentation platforms, with a deep understanding of variance reduction, interference/network effects, and metric design in a marketplace context.
• A track record of working on "mission-critical" pipelines (like billing, payments, or clearinghouses) where data precision, idempotency, and fault tolerance are paramount.
• Experience or strong technical interest in building the backend workflows required to serve, scale, and store Generative AI models for creative asset generation.
• Proficiency with real-time stream processing (Kafka, Flink, or Spark) specifically applied to event-based charging and real-time performance feedback.
• A proven ability to lead complex, multi-quarter technical roadmaps and mentor senior engineers in a high-growth environment.

You might also have

• Experience embracing AI as a strategic advantage in engineering, following established best practices for code quality and security.

Additional information

• Relocation support is not available for this position

Life at Unity

Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. Therefore, we provide employment opportunities without regard to age, race, color, ancestry, national origin, disability, gender, or any other protected status in accordance with applicable law. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

L’opportunité
Chez Unity, nous bâtissons un écosystème publicitaire de calibre mondial qui relie des milliards d'utilisateurs(rices) aux créateurs(rices) et aux expériences qu'ils/elles aiment. Notre équipe Advertiser Growth est le moteur de cette mission. Au fur et à mesure que notre place de marché s'étend, elle veille à ce que les annonceurs(ses) aient entre les mains les outils, l'infrastructure et les cadres d'expérimentation nécessaires pour avoir un impact réel.

En 2026, notre feuille de route s'articule autour de trois piliers : Foundation, Smart et Intelligence.
Ce rôle se distingue par son étendue technique. Il est ancré à la fois dans l'exécution financière, l'innovation créative et la science des places de marché.
Vous concevrez les systèmes GenAI qui alimentent la production de créatifs performants, développerez les algorithmes qui orchestrent des budgets publicitaires à grande échelle, et veillerez à ce que nos Pipelines de facturation absorbent des milliards d'événements sans jamais flancher. Vous bâtirez aussi l'infrastructure d'expérimentation sur laquelle repose notre capacité à faire évoluer la place de marché de manière rigoureuse. Ici, vos choix techniques ne restent pas dans le vide : ils touchent directement à l'intégrité financière d'Unity et à la croissance de tout l'écosystème.

Ce que vous allez faire

• Concevoir et optimiser des contrôleurs de cadence sophistiqués (PID, prévision probabiliste) pour lisser les dépenses des annonceurs(ses) selon les fuseaux horaires et les pics de trafic, en garantissant une diffusion optimale et la stabilité de la place de marché.
• Diriger l'intégration côté serveur de modèles d'IA générative (Diffusion, LLMs) pour automatiser la création d'images et de vidéos performantes, adaptées aux objectifs et aux formats de chaque campagne.
• Bâtir et faire évoluer l'infrastructure d'expérimentation à haute vélocité, incluant les tests A/B, les switchback tests et les groupes de contrôle à long terme, afin de mesurer l'impact des changements de la place de marché sur le ROI des annonceurs(ses) et la santé de la plateforme.
• Concevoir et maintenir des Pipelines de facturation à haut débit qui traitent des milliards d'événements avec une précision absolue, en faisant le pont entre la diffusion publicitaire en temps réel et la réconciliation financière critique.
• Analyser des ensembles de données financières et de place de marché complexes pour affiner l'équilibre entre la vélocité des dépenses et la performance des annonceurs(ses), en s'appuyant sur les résultats d'expérimentation pour ajuster la logique de cadence et de facturation.

Ce que nous recherchons

• Un diplôme avancé en informatique ou dans un domaine connexe, ou expérience équivalente.
• 6+ ans d'expérience en développement logiciel, dont au moins 3 ans sur des systèmes de diffusion publicitaire.
• Une solide expérience dans la conception et l'exploitation de systèmes serveur à grande échelle et à faible latence, notamment en Java, Go ou Scala.
• Une bonne maîtrise des systèmes de contrôle budgétaire, des boucles de rétroaction ou des algorithmes de prévision des dépenses.
• Un parcours concret dans la construction ou la mise à l'échelle de plateformes d'expérimentation, avec une compréhension fine de la réduction de variance, des effets de réseau et de la conception de métriques dans un contexte de place de marché.
• Une expérience sur des Pipelines critiques (facturation, paiements, chambres de compensation) où la précision des données.
• Une expérience ou intérêt réel dans la conception des flux côté serveur pour déployer, mettre à l'échelle et stocker des modèles d'IA générative dédiés à la production créative.
• La maîtrise du traitement de flux en temps réel (Kafka, Flink ou Spark), appliqué à la facturation événementielle et à la rétroaction sur la performance.
• L'habitude de piloter des feuilles de route techniques ambitieuses sur plusieurs trimestres, et de faire grandir des développeurs(ses) sénior(e)s dans un environnement qui évolue vite

Information supplémentaire

• Le support à la relocalisation n’est pas disponible pour ce poste

Avantages
Chez Unity, nous voulons que nos membres d’équipe s’épanouissent. Nous offrons un large éventail d’avantages conçus pour soutenir le bien-être et l’équilibre travail-vie personnelle.

Veuillez noter: L’admissibilité aux avantages, les offres spécifiques et la couverture varient selon le pays et le statut d’emploi.

Bien que les avantages précis puissent varier, voici certaines des façons dont nous nous efforçons de prendre soin de nos membres d’équipe admissibles à l’échelle mondiale : assurance santé, vie et invalidité complète | Subvention pour les déplacements | Participation des employés à l’actionnariat | Régimes de retraite/pension compétitifs | Vacances et congés personnels généreux | Soutien aux nouveaux parents grâce à des congés et des programmes de soutien aux familles | Collations offertes au bureau | Programmes et soutien en matière de santé mentale et de bien-être | Groupes-ressources pour employés | Programme mondial d’aide aux employés | Programmes de formation et de perfectionnement | Programme de bénévolat et de jumelage de dons

La vie chez Unity
Unity [NYSE : U] est le premier moteur de jeu au monde, propulsant les expériences de plus de 3 milliards d’utilisateurs(rices) chaque mois. Les plus grands jeux mobiles, les titres indépendants PC les plus populaires, des jeux console parmi les plus innovants, ainsi que la quasi-totalité des principales expériences XR et jeux Web sont développés, déployés et optimisés avec Unity.

Unity accompagne également des équipes dans des secteurs tels que l’automobile, l’industrie manufacturière et la santé pour concevoir, simuler et collaborer en 3D - comblant ainsi l’écart entre les idées et la réalité. Pour plus d’informations, veuillez visiter www.unity.com.

Unity est un employeur fier de garantir l’égalité des chances. Nous nous engageons à favoriser un environnement inclusif et innovateur et à célébrer nos employés à travers l’âge, l’éthinicité, la couleur, l’ascendance, l’origine nationale, la religion, le handicap, le sexe, l’identité ou l’expression de genre, l’orientation sexuelle ou tout autre statut protégé conformément à la loi applicable. Si vous êtes en situation de handicap ou avez des besoins spécifiques nécessitant des aménagements pour que votre entretien se déroule dans les meilleures conditions, nous vous invitons à remplir ce formulaire afin de nous en informer et que nous puissions faire le nécessaire.

Ce poste exige que son ou sa titulaire possède une connaissance de l’anglais qui soit suffisante pour lui permettre d’avoir des échanges professionnels verbaux et écrits dans cette langue, puisque l’accomplissement des tâches liées à ce poste nécessite des communications fréquentes et régulières avec des collègues et partenaire situés à l’échelle mondiale et dont la langue commune est l’anglais.

Les chasseurs de têtes et les agences de recrutement ne peuvent pas soumettre résumes/CV par ce site Web ou directement aux superviseurs. Unity n’accepte pas des chasseurs de têtes non sollicités et des résumés (CV) d’agence. Unity ne payera pas d’honoraires à aucune agence tierce ou entreprise qui n’a pas signé d’ententes avec Unity.

La protection de votre vie privée est importante pour nous. Veuillez prendre un moment pour consulter nos politiques de confidentialité pour les prospects et les candidats. Si vous avez des questions concernant la protection de votre vie privée, veuillez nous contacter à DPO@unity.com.

#SEN #LI-AR1

About the role

Starburst is looking for an experienced Staff Software Engineer to sit at the intersection of software engineering and data engineering — building the internal platforms, pipelines, and data products that power how we understand our customers and our business. You'll work across Starburst Enterprise and Starburst Galaxy, using our own technology to solve real problems at scale, while also contributing software that other teams depend on.

Because data engineers are one of our primary target personas, you'll bring a uniquely valuable perspective: you'll use our products daily and feed that experience directly back into how we build and improve them. You'll work closely with a dynamic, talented, globally distributed team, writing production-quality software alongside building reliable data systems — with a consistent emphasis on quality, maintainability, and speed to insight.

As a Staff Software Engineer at Starburst you will:

• Design, build, and operate a high-quality data lake and the software systems that feed it, supporting product management, finance, customer support, and engineering
• Write production-grade software — services, APIs, tooling, and automation — that enables data workflows and integrations at scale
• Find innovative ways to use Trino and Starburst to solve complex data management and software architecture challenges
• Collaborate with technical leads, product managers, and data analysts to build robust data products and analytics
• Leverage AI to democratize access to datasets for users throughout Starburst, including building and maintaining the software infrastructure that makes this possible
• Enable dataset preparation and model evaluation for Starburst's AI projects
• Define and evolve engineering processes and best practices that span both software and data domains, with a focus on reliability and actionable results
• Work closely with leaders across teams to iterate on data architecture and the software systems that implement it, keeping quality high at every layer
• Identify emerging patterns in data management and software engineering, and work with Starburst's product teams to bring those innovations to market

Some of the things we look for

• A Trino enthusiast looking to push the bounds in an AI future
• At least 7 years of combined experience in software engineering and/or data engineering, with genuine depth in both
• Strong software engineering fundamentals: writing clean, testable, well-reviewed code in Java, Python, or Scala
• Experience building and optimizing data pipelines using Trino, Spark, dbt, and related frameworks
• Experience designing and building backend services, APIs, and data platform components
• Experience managing data and application infrastructure in public clouds, particularly AWS (EMR, EC2, S3, IAM); multi-cloud experience (GCP/Azure) is a plus
• Experience using and managing orchestration frameworks such as Apache Airflow or Dagster
• Knowledge of RAG and other design patterns for AI-powered applications
• Fluency in SQL and comfort moving between SQL and general-purpose programming as the task demands
• Experience building API integrations for extracting data from third-party sources
• Knowledge of data modeling techniques appropriate for modern data lakes
• Proficiency with Configuration-as-Code and Infrastructure-as-Code tools such as Pulumi, Terraform, and/or Ansible
• A track record of shipping reliable software and data systems on time, with disciplined practices around testing, code quality, and review
• Strong written and verbal communication skills, with the organizational ability to coordinate across teams

Where could this role be based?

• San Francisco, US

The Data Engineering team builds tools and systems that make Gusto's data consistent, user-friendly, and helpful. This helps our teams make decisions using data and provide intelligent, customized experiences to our customers.

We're looking for a Senior Data Engineer who can take loosely defined problems and drive them end-to-end—from framing the problem and aligning stakeholders to designing, building, and delivering durable data solutions. You’ll partner closely with analytics, product, and engineering teams to deliver data solutions that drive real business and customer impact.

Preferred Qualifications

• 8-10+ years of industry experience in data engineering building scalable data pipelines and data products
• Strong proficiency in SQL and at least one programming language (e.g., Python, Scala, or Java)
• Proven experience building and maintaining robust data pipelines and ETL workflows, with hands-on dbt experience for reliable, testable, and maintainable data transformations.
• Hands-on experience ingesting data from diverse sources, including APIs, databases, SaaS applications, and event streams.
• Strong foundation in data modeling, schema design, and data quality best practices, with functional experience working on cloud platforms like Snowflake, Redshift, BigQuery, or Databricks.
• Experience implementing CI/CD pipelines, automated testing, and data observability to ensure reliability and trust in data systems
• Familiarity with monitoring, alerting, and incident response for production-grade data pipelines
• Proven ability to optimize performance and cost across data workflows and storage systems
• Functional understanding of how to leverage AI and automation in data engineering — building self-service tools, intelligent pipelines, and agents that automate repetitive tasks
• Exemplar problem-solving skills and ability to work collaboratively in cross-functional teams.
• Strong communication and collaboration skills, with a focus on clarity, empathy, and shared ownership

Compensation Details

Our cash compensation amount for this role is targeted at $155,000-$185,000/yr in Denver, $170,000-$200,000/yr in Los Angeles, and $190,000-$220,000/yr for San Francisco, Seattle, and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

As a Sr. Solutions Architect at Databricks within the Field Engineering org, you will partner with our customers to design scalable data architectures using Databricks technology and services. You have technical depth and business knowledge, and can drive complex technology discussions that express the value of the Databricks platform throughout the sales lifecycle. In partnership with our Account Executives, you will engage with our customers' technical leads, including architects, engineers, and operations teams, with the goal of establishing yourself as a trusted advisor to achieve tangible outcomes. You will work with teams across Databricks and our executive leadership to represent your customers' needs, build valuable customer engagements, and report to the Field Engineering Manager.

The impact you will have:

• You will work with Sales and other essential partners to develop account strategies for your assigned accounts to grow their usage of the platform.
• Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning.
• You will build and present reference architectures and demo applications for prospects to help them understand how Databricks can be used to achieve their goals to land new users and use cases.
• Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; prove out the Databricks technology for strategic customer projects; and validate integrations with cloud services and other 3rd party applications.
• Become an expert in and promote Databricks-inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars.

What we look for:

• 8+ years in a customer-facing pre-sales or consulting role with expertise in at least one of the following technologies:
• Big data engineering (Ex: Spark, Hadoop, Kafka)
• Data Warehousing & ETL (Ex: SQL, OLTP/OLAP/DSS)
• Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO)
• Data Applications (Ex: Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more)
• Experience translating a customer's business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business.
• Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures.
• Fluent in SQL and database technology.
• Debug and development experience in at least one of the following languages: Python, Scala, Java, or R.
• [Desired] Built solutions with public cloud providers such as AWS, Azure, or GCP
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• Travel to customers in your region up to 30% of the time.

Staff Software Engineer - AI Research Infrastructure

P-1215

At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform so our customers can focus on the high-value challenges that are central to their own missions.

The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI does so by producing novel science and putting it into production. Databricks AI is committed to the belief that a company’s AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all.

Job Description

As a Staff Software Engineer, AI Research Infrastructure, you will be developing and running the research stack that powers Databricks AI Research. You will design and build services that schedule, orchestrate, and observe large‑scale training and inference experiment workloads across thousands of GPUs, improve our dev tooling and ensure that researchers can iterate quickly without sacrificing reliability, efficiency, or security.

You’ll partner closely with research scientists, ML engineers, and platform teams to turn experimental workloads into robust, repeatable pipelines, and to push the limits of what our infrastructure can support.

The Impact you will have

As a Staff Software Engineer on the AI Research Infra Team at Databricks, you will: 

• Design and implement infrastructure that supports large‑scale experiments, data processing, and model training (e.g., HPC clusters, GPU fleets, or cloud‑based systems)
• Enable researchers to go from idea to large‑scale experiment in minutes, not days, by building powerful abstractions for job submission, scheduling, and monitoring.
• Create tooling that improves research developer productivity, such as experiment management systems, CI/testing infrastructure for research code, and workflows that reduce iteration time.
• Influence the long‑term roadmap for research computation, shaping how Databricks AI Research train, evaluate, and ship models to customers.
• Serve as a technical mentor and force multiplier for other engineers working on compute, infra, and AI systems.

What We Look for

• BS/MS or PhD in Computer Science or related field
• 5+ years of software engineering experience, including substantial time working on large‑scale distributed systems or infrastructure.
• Have deep experience with building and operating distributed systems, data pipelines, or large‑scale backend services, ideally involving GPUs, clusters, or major cloud providers.
• Are proficient in one or more systems programming languages (e.g., C++, Rust, Go, Java, Scala) and can design, implement, and debug complex services.
• Have built or significantly contributed to cluster schedulers, resource managers, or large‑scale job orchestration systems (e.g., Kubernetes, Slurm, Ray, custom internal systems).
• Understand modern ML training and inference workflows (e.g., distributed training, model parallelism, fine‑tuning, evaluation), even if you’re not primarily a research scientist.
• Can move fast and be pragmatic in getting things done, while caring about operational excellence. Have driven complex systems from prototype to stable, well‑owned services.
• Communicate clearly with both researchers and engineers, and enjoy translating between research needs and infra realities.

About Prophecy 

The leader in AI-native data preparation and analysis, Prophecy is revolutionizing how the world’s top enterprises turn data chaos into reliable insights. We introduce the AI-native data lifecycle (generate, refine, deploy) where our industry leading AI agents and humans work hand-in-hand in visual and document interfaces to analyze, transform and prepare data, to ship trusted insights at enterprise scale. 

Don’t miss the rocket ship—join Prophecy and build the next data revolution.

Must-Have Skills:

• Hands-on LLM/agent building (e.g., LangChain/Graph, CrewAI) and tuning to quality benchmarks.
• Experience with semantic search, RAG, and vector databases.
• Experience with prompt engineering and optimization
• Agentic Use Cases: Hands-on experience building and deploying agents in at least one of the following scenarios:
• Workflow Orchestration: Automating multi-step processes (e.g., ETL pipelines, supply chain optimization, or CRM workflows like Salesforce Agentforce).
• Code Generation/Assistance: Developing or debugging code autonomously (e.g., similar to Devin AI or GitHub Copilot extensions).
• Data Analysis/Transformation: Querying, manipulating, or analyzing data across sources (e.g., topic extraction, document analytics in vector DBs like Weaviate).
• Personalized Assistance: Tailoring recommendations or plans (e.g., e-commerce, education, or finance agents).
• Autonomous Decision-Making: Real-time decisions in domains like trading or healthcare (e.g., crypto trading, medical workflow optimization).
• Content Creation: Generating text, art, or media (e.g., social media automation, presentation creation).
• Multi-Agent Systems: Collaborative agents for simulations or transactions (e.g., policy-constrained evaluation, machine-to-machine commerce).
• Versatile software developer: fluency in Python, REST APIs, microservices in public cloud; some experience with Go, AWS, k8s, java, Scala.
• Builder mentality: Demonstrated experience taking ideas to production.

What Will Make You Stand Out

• Expertise in building and managing Knowledge Graphs, including entity extraction, linkage, and ontology design.
• Experience integrating Knowledge Graph with AI systems for retrieval, reasoning, and agent context (e.g., enriching with LLM).
• ML/LLM work in code generation (e.g., Codex, text-to-SQL), semantic extraction, or knowledge graphs (e.g., Neo4j, Neptune).
• Experience with big-data engines like Spark.
• Compiler development for languages like SQL, Python, or Scala.
• Optimization of ML models for low-latency, high-throughput production use.
• Contributions to open-source AI/ML projects (e.g., Hugging Face, PyTorch).
• Expertise in retrieval systems or vector databases (e.g., Pinecone, Weaviate).
• Skill in evaluating tech and driving build/buy decisions

Seniority: Mid to Staff Level

Location: This is a Hybrid role with 2-3 days a week in office. However, this can vary week to week. 

Experience: 6+ years of Software Engineering experience minimum with 2+ of these being in AI/ML

Compensation:  $250,000–$350,000

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates. 

Benefits and Perks

• Prophecy covers 99% of employee health insurance premiums and 75% for dependents
• We offer $200 per month towards remote work, wellness, gyms, massages, facials, and more!
• Flexible PTO
• Professional development allowance
• Company sponsored Long Term Disability and Life Insurance, FSA/HSA, dental, vision, and more
• Ability to have your fingerprint on an innovative platform
• End-to-end ownership of your projects. 

*Benefits and perks may vary per country

Prophecy is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, age, disability, or veteran status.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

What you’ll do

About the internship

Stripe's Applied ML, Data Science, Risk, and Payments organizations are excited to offer PhD machine learning engineering internships for the summer of 2026. This is an exceptional opportunity to contribute to critical projects that directly enhance Stripe's suite of products, focusing on areas such as foundation models used for dozens of tasks e.g. fraud detection, enhanced support, and predicting user behavior.

As an intern, you'll tackle challenging problems at the intersection of finance, technology, and data. You'll have the chance to work on creative projects like the Stripe Assistant and the Stripe Foundation Model, which leverage machine learning to revolutionize how businesses interact with financial services and data.

Responsibilities

• Develop and deploy large-scale machine learning systems that drive significant business value across various domains.
• Engage in the end-to-end process of designing, training, improving, and launching machine learning models.
• Write production-scale ML models that will be deployed to help Stripe enable economic infrastructure access for a diverse range of businesses globally.
• Collaborate across teams to incorporate feedback and proactively seek solutions to challenges.
• Rapidly learn new technologies and approaches, demonstrating a strong ability to ask insightful questions and communicate the status of your work effectively.

Who you are

Minimum requirements

• A deep understanding of computer science, obtained through the pursuit of a PhD in Computer Science, Machine Learning, or a closely related field, with the expectation of graduating in winter 2026 or spring/summer 2027.
• Practical experience with programming and machine learning, evidenced by projects, classwork, or research. Familiarity with languages such as Python, Scala, Spark and libraries such as Pandas, NumPy, and Scikit-learn.
• Expertise in areas of machine learning such as supervised and unsupervised learning techniques, ML operations, and possibly experience in Large Language Models or Reinforcement Learning.
• Demonstrated ability to work on collaborative projects, with experience in receiving and applying feedback from various stakeholders.
• A proactive approach to learning unfamiliar systems and a demonstrated ability to understand complex systems independently.
• Intent to return to the degree-program after the completion of the internship/co-op.

Preferred qualifications

You Might Also Have:

• Two years of university education or equivalent experience, with in-depth knowledge in specific domains of machine learning.
• Published and presented peer-reviewed articles in top-tier venues.
• Experience in writing high-quality pull requests, maintaining good test coverage, and completing projects with minimal defects.
• Familiarity with navigating new codebases and managing work across different programming languages.
• Excellent written communication skills to clearly articulate your work to both team members and wider Stripe audiences.

Application requirements

Please submit the following with your application:

• A detailed resume or LinkedIn profile showcasing your work history.
• Examples of relevant work and your approach to learning, such as GitHub repositories, StackOverflow contributions, or other project portfolios.

Join us for an unforgettable summer internship and help shape the future of global commerce. At Stripe, you won't just be working on theoretical projects; you'll make a tangible impact on the world's economic infrastructure.

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 Role

We are seeking a Senior Staff Engineer to join our team.  SoFi Invest is SoFi’s investment platform that includes our market-leading robo-advisor, and online brokerage (stock, ETF, and mutual funds trading) products.

On our team, you will be in the middle of it all – implementing functionality, architecting our system, squashing bugs, maintaining the health of our code, and continually growing as an engineer. The ideal candidate is both forward-thinking and hands-on, has a strong sense of ownership and drive for delivery, and is a good mentor and co-worker. At SoFi, we pride ourselves on the collaboration between Product, Design and Engineering and so you will be involved in the entire product lifecycle, from ideation through building, deploying and continual improvement and evolution.

At SoFi, you’ll become part of a new kind of finance company whose ambition is to help our members achieve financial independence and reach their goals. We aim to be at the center of our members’ financial lives, and to help every member get their money right. We created student loan refinancing, addressing the biggest financial challenge of a new generation through a modern approach to lending and personal finance. Next we expanded our products and services across loans, wealth management, and insurance. SoFi has achieved significant growth, with ambitious plans ahead, but to continue this growth we need great talent. And that starts with you.

Key responsibilities

• Help shape the technical architecture & design of the Sofi Invest core systems
• Lead best practices for development, testing and releasing the SoFi Invest component while contributing to the shared components across SoFi 
• Mentor other engineers, support the technical culture, and help grow the team
• Generate ideas for new initiatives and technologies
• Shape the architecture of foundational systems including but not limited to market data, ledger, search  
• Proven experience designing and building highly scalable distributed systems.
• Strong knowledge of CI/CD pipelines, resource optimization, and network protocols.
• Excellent cross-functional communication and leadership skills.

Requirements

• Bachelor’s or Master’s Degree, ideally in a technical field, but we understand great engineers come from all sorts of different backgrounds and also consider relevant work experience
• 10+ years related experience or demonstrated equivalent
• Expertise in modern back-end frameworks (Spring boot preferred), build tooling, and testing frameworks
• Experience in scaling and designing highly available, mission critical systems
• 8+ years programming experience, ideally on a modern stack
• Our core stack is React / Java / Play / Spring / PostgreSQL, but you don't have to be an expert in any of these. 6+ years Java, Kotlin or Scala programming experience and an understanding of relational databases and ORMs suffices
• Willingness to roll up your sleeves, collaborate with others and get stuff done
• Strong sense of responsibility; driving a project from inception to completion
• Affinity for solving hard problems and shipping impactful features
• Experience working in a collaborative coding environment (and git specifically), refining designs together, working through code reviews and managing pull requests
• Bonus
• Worked with trading and/or exchange systems
• Experience building ledger and transactional systems
• Experience with workflow platforms such as Temporal.io or AWS Step Functions
• Trading APIs (either crypto or securities) and FIX protocol

We are seeking a Senior Software Engineer to join our team. SoFi Invest is SoFi’s new investment platform that includes our market-leading robo-advisor, and online brokerage (stock, ETF, and mutual funds trading) products.

On our team, you will be in the middle of it all – implementing functionality, architecting our system, squashing bugs, maintaining the health of our code, and continually growing as an engineer. The ideal candidate is both forward-thinking and hands-on, has a strong sense of ownership and drive for delivery, and is a good mentor and co-worker. At SoFi, we pride ourselves on the collaboration between Product, Design and Engineering and so you will be involved in the entire product lifecycle, from ideation through building, deploying and continual improvement and evolution.

At SoFi, you’ll become part of a new kind of finance company whose ambition is to help our members achieve financial independence and reach their goals. We aim to be at the center of our members’ financial lives, and to help every member get their money right. We created student loan refinancing, addressing the biggest financial challenge of a new generation through a modern approach to lending and personal finance. Next we expanded our products and services across loans, wealth management, and insurance. SoFi has achieved significant growth, with ambitious plans ahead, but to continue this growth we need great talent. And that starts with you.

Key Responsibilities:

• Lead the development and testing of system components/services, code and design reviews
• Participate in shaping the technical architecture of the product
• Help translate user stories into technical solutions
• Deliver highly available and scalable services in a production environment
• Mentor other engineers, support the technical culture, and help grow the team
• Generate ideas for new initiatives and technologies
• Communicate with project leads, product managers and other software developers

Must Have:

• Bachelor’s Degree, ideally in a technical field, but we understand great engineers come from all sorts of different backgrounds and also consider relevant work experience
• 5+ years programming experience, ideally on a modern stack
• Our core stack is React / Java / Spring / PostgreSQL, but you don't have to be an expert in any of these. 4+ years Java, Kotlin or Scala programming experience and an understanding of relational databases and ORMs suffices
• Willingness to roll up your sleeves, collaborate with others and get stuff done
• Strong sense of responsibility; driving a project from inception to completion
• Affinity for solving problems and shipping impactful features, not polishing perfect code or architecture
• Experience working in a collaborative coding environment (and git specifically), refining designs together, writing tests, working through code reviews and managing pull requests

Nice to Have:

• • Worked with trading and/or exchange systems
  • Familiarity with the FIX Protocol
  • Experience with workflow platforms such as Temporal.io or AWS Step Functions
  • Experience scaling highly available, mission critical systems
  • Trading APIs (either crypto or securities)
  • Experience with Scrum

The role:

We are seeking a Full-Stack Engineer for the Member Benefits and Rewards team. We are responsible for member-facing benefits like credit card cash back and the 1% investment match. 

We are also responsible for SoFi's newest subscription, SoFi Plus, which is an important project for the company. Our team manages member-facing features in SoFi's app and website as well as the backend streaming services that support this front-end experience. This provides ample opportunities for the SDE to gain full-stack experience and showcase their skill set in a company priority initiative.

What you'll do:

• Collaborate cross-functionally with Product, Design, Engineering, and Data Science teams to translate business needs into scalable technical solutions.
• Mentor and inspire engineers through code reviews, technical leadership, and fostering a culture of innovation and collaboration.
• Solve complex challenges across infrastructure, data pipelines, and backend services to ensure systems are robust, reliable, and future-proof.
• Drive innovation by identifying opportunities for new technologies, AI/ML-driven marketing, and process improvements to enhance marketing capabilities.
• Own the full lifecycle of projects—from ideation to deployment, monitoring, and continuous improvement.
• Stay ahead of industry trends by exploring advancements in AI/ML, personalization, and automation to optimize SoFi’s marketing strategies.

What you’ll need:

• Bachelor’s Degree in Computer Science or related field.
• 2+ years of software engineering experience, with a proven track record of delivering scalable, production-grade applications.
• Full-stack experience, including frontend (React, TypeScript) or infrastructure (Kafka, CI/CD, observability tools).
• Strong backend expertise in Java, Kotlin, or Scala, with experience in frameworks like Spring Boot.
• Experience designing and deploying microservices in a cloud-native environment (Kubernetes, Docker, Kafka, AWS).
• Proficiency in relational databases (PostgreSQL) and ORMs with an ability to optimize data access patterns.
• Ability to balance engineering excellence with business impact, prioritizing high-value initiatives.
• Strong problem-solving skills and a passion for delivering efficient, well-tested, and maintainable solutions.
• Excellent communication skills and ability to collaborate cross-functionally with marketing, product, and data teams.

Nice to have:

• Experience with MarTech or AdTech platforms, like marketing campaign orchestration, SEO, attribution, and personalization.
• Interest in personal finance, fintech, or SoFi’s mission.
• Prior experience working with AI/ML-driven marketing solutions.

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

We are looking for an ambitious Systems / Platform Engineer to join a team at the intersection of SRE and low-latency distributed systems. This team will help power Pinterest’s next generation of realtime ML and measurement infrastructure, with a focus on sub‑millisecond decisioning, high‑throughput data access, and tight integration with Pinterest’s core tech stack.

In this role, you’ll think about queries and RPCs in terms of syscalls, cache lines, and wire formats, and design systems that stay fast and predictable under load. You’ll help define and harden the foundation for our training and serving stack: from storage and indexing strategies, to streaming and fanout, to backpressure and failure handling across services and regions. You’ll work closely with software engineering, data infra, and SRE partners to ensure our systems are observable, debuggable, and operable in production.

If topics like IO scheduling and batching, lock‑free or low‑contention data structures, connection pooling, query planning, kernel and network tuning, on‑disk layout and indexing, circuit‑breaking, autoscaling, incident response, NixOS, Rust, and robust SLIs/SLOs sound interesting (even if it’s just a subset), this role gives you a chance to apply that expertise to business‑critical, high‑leverage infrastructure at Pinterest scale.

What you'll do:

• Scale the decision making process for tools for the tvScientific AI team, from our workflows to our training infrastructure to our Kubernetes deployments
• Improve the developer experience for the data science team
• Upgrade our observability tooling
• Make every deployment smooth as our infrastructure evolves.

What we're looking for:

• Deep understanding of Linux
• Excellent writing skills
• A systems-oriented mindset
• Experience in high-performance software (RTB, HFT, etc.)
• Software engineering experience + reliability (e.g. CI/CD) expertise
• Strong observability instincts
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
• Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables
• Nice-To-Haves
  • Reverse-engineering experience
  • Terraform, EKS, or MLOps experience
  • Python, Scala, or Zig experience
  • NixOS experience
  • Adtech or CTV experience
  • Experience deploying a distributed system across multiple clouds
  • Experience in hard real-time low-latency (<10 ms) environments

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-SM4

#LI-REMOTE

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

We are seeking a Sr. Software Engineer to build out our simulation and AI capabilities. You'll design and implement systems that model the CTV advertising ecosystem — auction dynamics, bidding strategies, campaign outcomes, and counterfactual scenarios — and develop AI-driven tools that accelerate how we build, test, and deploy ML systems.

What you’ll do:

• Design and build simulation environments that model CTV auction mechanics, inventory supply, and advertiser competition
• Develop counterfactual and what-if frameworks for evaluating bidding strategies, budget allocation, and pacing algorithms offline
• Build AI agents that explore strategy spaces, generate hypotheses, and automate experimentation within simulated environments
• Use simulation to de-risk ML model deployments — validate new bidding and optimization strategies before they touch live traffic
• Define the technical direction for simulation and AI infrastructure and mentor engineers on the team

What we’re looking for:

• Systems programming experience in Zig or similar (C, C++, Rust)
• Deep understanding of probabilistic modeling, stochastic processes, or agent-based simulation
• Hands-on experience with modern AI tools: LLMs, code generation, agentic workflows — and good judgment about when they help vs. when they don't
• Adtech experience: you understand RTB mechanics, and the dynamics of programmatic advertising
• Ability to translate business questions ("what happens if we change our bid strategy?") into rigorous simulation frameworks
• Clear written communication: you'll be defining new technical directions and need to bring others along
• Ownership: you scope, design, and ship systems end-to-end with minimal direction
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
• Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.
• Nice-to-Haves:
  • Strong production Python skills and experience building simulation or modeling systems
  • Causal inference — uplift modeling, synthetic controls, difference-in-differences, or incrementality testing
  • Experience with discrete event simulation, Monte Carlo methods, or digital twins
  • Reinforcement learning — using simulated environments for policy learning and evaluation
  • Experience building agentic AI systems or multi-agent simulations
  • Big data experience with Scala and Spark
  • MLOps experience — model deployment, monitoring, and pipeline orchestration on AWS

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-SM4

#LI-REMOTE

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

We are seeking a Staff Data Engineer to lead the design, implementation, and evolution of our identity services and data governance platform. This role is critical to ensuring trusted, privacy-safe, and well-governed data across the organization. You will work at the intersection of data engineering, identity resolution, privacy, and platform reliability. This is an individual contributor role, where you will work to define and implement a strategic vision for data engineering within the organization. 

What you'll do:

• Design and maintain a scalable identity resolution platform
• Build pipelines and services to ingest, normalize, link, and version identity data across multiple sources
• Ensure deterministic and probabilistic matching logic that is transparent, auditable, and measurable
• Partner with product and analytics teams to expose identity data through reliable, well-documented APIs and datasets
• Build and operate batch and streaming pipelines using modern data stack tools
• Create clear documentation, standards, and runbooks for identity and governance systems
• Own data governance foundations including data lineage, quality checks, schema enforcement, and access controls
• Implement privacy-by-design principles (PII handling, consent enforcement, retention policies)
• Collaborate with legal, privacy, and security teams to operationalize regulatory requirements (e.g., GDPR, CCPA)
• Establish monitoring and alerting for data quality, freshness, and integrity

What we're looking for:

• Production data engineering experience
• Bachelor’s degree in computer science, related field or equivalent experience
• Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala
• Experience in delivering significant technical initiatives and building reliable, large scale services
• Experience in delivering APIs backed by relationship-heavy datasets
• Experience implementing data governance practices, including data quality, metadata management, and access controls
• Strong understanding of privacy-by-design principles and handling of sensitive or regulated data
• Familiarity with data lakes, cloud warehouses, and storage formats
• Strong proficiency in AWS services
• Excellent written and verbal communication skills
• Successful design and implementation of scalable and efficient data infrastructure
• High attention to detail in implementation of automated data quality checks
• Effective collaboration with cross-functional teams
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
• Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables 

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-SM4

#LI-REMOTE

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

We are looking for an experienced ML Platform Engineer to join a team at the intersection of sysops, systems programming, architecture, and large-scale deployments. Our platform underpins tvScientific’s distributed real-time bidding agent and ML training system that together drive $100M+ in annual revenue, giving you the opportunity to work on some of the most business-critical infrastructure in the company.

As part of our team, you’ll think about datasets in terms of bytes, microseconds, and serialization formats, and help define the next generation of our training and serving stack. A flagship initiative for the coming year is building a Kubernetes + Ray backend for our model training pipelines, setting a new bar for scale and reliability. If topics like data locality, observability and anomaly detection, distributed databases, high-performance computing, array programming languages, data security, and reproducibility excite you (even if it’s just a subset), your expertise could play a key role in shaping tvScientific’s ML innovation in 2026 and beyond.

What You'll Do

• Scale the decisionmaking process for tools for the tvScientific AI team, from our workflows to our training infrastructure to our Kubernetes deployments
• Improve the developer experience for the data science team
• Upgrade our observability tooling
• Serve as a technical lead and mentor to the team
• Make every deployment smooth as our infrastructure evolves.

What We're Looking For

• Deep understanding of Linux
• Excellent writing skills
• A systems-oriented mindset
• Experience in high-performance software (RTB, HFT, etc.)
• Software engineering experience + reliability (e.g. CI/CD) expertise
• Strong observability instincts
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
• Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables
• Nice-To-Haves
  • Reverse-engineering experience
  • Terraform, EKS, or MLOps experience
  • Python, Scala, or Zig experience
  • NixOS experience
  • Adtech or CTV experience
  • Experience deploying a distributed system across multiple clouds
  • Experience in hard real-time low-latency (<10 ms) environments

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-SM4

#LI-REMOTE

Staff Software Engineer - AI Research Infrastructure

P-1215

At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform so our customers can focus on the high-value challenges that are central to their own missions.

The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI does so by producing novel science and putting it into production. Databricks AI is committed to the belief that a company’s AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all.

Job Description

As a Staff Software Engineer, AI Research Infrastructure, you will be developing and running the research stack that powers Databricks AI Research. You will design and build services that schedule, orchestrate, and observe large‑scale training and inference experiment workloads across thousands of GPUs, improve our dev tooling and ensure that researchers can iterate quickly without sacrificing reliability, efficiency, or security.

You’ll partner closely with research scientists, ML engineers, and platform teams to turn experimental workloads into robust, repeatable pipelines, and to push the limits of what our infrastructure can support.

The Impact you will have

As a Staff Software Engineer on the AI Research Infra Team at Databricks, you will: 

• Design and implement infrastructure that supports large‑scale experiments, data processing, and model training (e.g., HPC clusters, GPU fleets, or cloud‑based systems)
• Enable researchers to go from idea to large‑scale experiment in minutes, not days, by building powerful abstractions for job submission, scheduling, and monitoring.
• Create tooling that improves research developer productivity, such as experiment management systems, CI/testing infrastructure for research code, and workflows that reduce iteration time.
• Influence the long‑term roadmap for research computation, shaping how Databricks AI Research train, evaluate, and ship models to customers.
• Serve as a technical mentor and force multiplier for other engineers working on compute, infra, and AI systems.

What We Look for

• BS/MS or PhD in Computer Science or related field
• 5+ years of software engineering experience, including substantial time working on large‑scale distributed systems or infrastructure.
• Have deep experience with building and operating distributed systems, data pipelines, or large‑scale backend services, ideally involving GPUs, clusters, or major cloud providers.
• Are proficient in one or more systems programming languages (e.g., C++, Rust, Go, Java, Scala) and can design, implement, and debug complex services.
• Have built or significantly contributed to cluster schedulers, resource managers, or large‑scale job orchestration systems (e.g., Kubernetes, Slurm, Ray, custom internal systems).
• Understand modern ML training and inference workflows (e.g., distributed training, model parallelism, fine‑tuning, evaluation), even if you’re not primarily a research scientist.
• Can move fast and be pragmatic in getting things done, while caring about operational excellence. Have driven complex systems from prototype to stable, well‑owned services.
• Communicate clearly with both researchers and engineers, and enjoy translating between research needs and infra realities.

The Community You Will Join:

At Airbnb, we believe technology has the power to bring people together — and our engineers are the ones building it. Our Engineering org is a diverse, fast-moving group of teams working across Payments, Trust, Marketing, Relevance & Personalization, and more. Together, we're tackling some of the hardest problems in tech: search relevance at global scale, fraud prevention, seamless payments, and fueling growth — all while delivering a product experience that feels effortless and beautiful. We're also at the forefront of integrating AI and machine learning into our products — from personalized search experiences to intelligent trust and safety systems — and we're looking for curious engineers who are excited to grow alongside this technology.

If you're energized by engineering that creates real-world human connection — and by the idea that your code will be experienced by millions of people around the world — you'll feel right at home here.

The Difference You Will Make:

As a Software Engineer (New Grad) at Airbnb, you’ll play a vital role in building, supporting, and refining the products and systems that make Airbnb’s mission possible. Your work will directly contribute to high-quality, reliable experiences for our global community—whether you’re fixing bugs, launching well-defined features, or enhancing existing components. You'll also have the opportunity to contribute to AI-powered features, applying foundational knowledge of machine learning concepts and modern AI tools to build smarter, more personalized experiences for our hosts and guests. By clearly communicating challenges and collaborating with teammates across functions, you’ll help drive projects forward with transparency and trust.

You’ll foster a sense of belonging by actively seeking feedback, sharing your own learnings, and supporting the onboarding of new team members. You’ll help uphold Airbnb’s commitment to excellence by following best practices, delivering tasks autonomously, and continually improving your technical skills. Your curiosity, empathy, and commitment to candid communication will empower you to make a meaningful impact—on projects, teammates, and Airbnb’s inclusive culture.

A Typical Day: 

• Attend team syncs to discuss priorities, share progress, and surface any blockers with transparency.
• Dive into coding—fixing bugs, developing features, or refining APIs and components—while applying best practices for code quality, error handling, and testability. Leverage AI-assisted development tools (e.g., Claude Code or similar) to accelerate your workflow and improve code quality.
• Participate in design or code reviews, ask clarifying questions, and apply feedback to improve your work. Work closely with cross-functional partners like product managers and designers to ensure your tasks align clearly with broader goals.
• Dedicate time to expanding your technical knowledge through documentation, mentorship, or internal knowledge-sharing sessions. This includes staying current on AI/ML developments relevant to your team's domain — whether that's recommendation systems, natural language understanding, or AI safety practices. Seek guidance from managers or tech leads when tackling unfamiliar problems.
• Contribute to team activities, such as onboarding new hires (e.g., being an onboarding buddy), sharing observations from the hiring process, or joining in cultural events focused on diversity, inclusion, and innovation.
• Share updates on your progress and next steps, highlighting challenges or learnings. 

Your Expertise:

This role is designed for recent graduates (Bachelor's or Master's) with less than 1 year of full-time professional experience who are ready to grow fast and make an impact.

• Strong foundation in Computer Science fundamentals — data structures, algorithms, design patterns, and systems thinking
• Proficiency in one or more of: Java, Scala, Ruby, Ruby on Rails, C++, SQL, HTML/CSS, JavaScript, Objective-C, Swift (iOS), or Kotlin (Android)
• Foundational awareness of AI/ML concepts — such as supervised learning, model evaluation, or working with APIs backed by large language models (LLMs) — gained through coursework, personal projects, or internships
• Familiarity with Python and common AI/ML libraries (e.g., NumPy, scikit-learn, or PyTorch) is a plus, as is experience integrating cloud-based AI services or LLM APIs
• An understanding of responsible AI principles — including fairness, privacy, and safety — and a curiosity about how these apply to real-world product development
• Bonus points for leadership experience, community involvement, or teaching/mentoring — we love engineers who invest in others

Your Location:

Preference for candidates based in San Francisco, California or Seattle, Washington with the ability to commute to the office three days per week. Additional in-person attendance for team meetings or offsites may be required as needed. Domestic Relocation support will be provided for candidates open to relocating.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. 

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

Team & Mission

The Privacy & Conversion Data team is responsible for how the company safely and compliantly uses conversion data to power monetization. We build and operate the core privacy infrastructure behind ads reporting and optimization, including controlled data environments, fine‑grained access controls, centralized privacy rules enforcement, and de‑identification pipelines for conversion data. Our mission is to make conversion data privacy‑preserving by default—centralized, de‑identified, auditable, and easy for teams to use, while maintaining high utility for advertisers and staying ahead of an evolving global regulatory landscape.

Role Summary

We’re seeking a Staff Engineer to lead the architecture and technical direction for the conversion data privacy platform, spanning both core Conversion Data systems and de‑identification for ads reporting. You’ll own the end‑to‑end design and evolution of privacy‑critical pipelines and services, partner closely with Product, Data Science, Legal, and infrastructure teams, and set the technical bar for how we use conversion data safely at scale.

What you’ll do:

• Lead the technical strategy and architecture for conversion data privacy across access controls, de‑identification, deletion, and privacy rules enforcement, driving toward a centralized, de‑identified‑by‑default, automated privacy platform for monetization.
• Design and evolve core privacy infrastructure including controlled environments for sensitive data, fine‑grained authorization and policy enforcement, and a central policy repository that consistently governs access across major data platforms and query engines.
• Own de‑identification pipelines for ads reporting end‑to‑end—from separating sensitive and non‑sensitive data, applying de‑identification techniques and transformations, and generating privacy‑preserving datasets, to validating data utility and feeding reporting and analytics surfaces.
• Build and improve privacy frameworks and tooling (for both online and offline workflows) that make safe, compliant conversion data usage simple and self‑service for downstream teams, reducing onboarding friction for new datasets, restrictions, and use cases.
• Drive operational excellence and compliance by defining SLAs, building robust monitoring and alerting (e.g., de‑identification quality, opt‑out metrics, data leakages), leading incident response, and developing performant deletion and leakage‑handling workflows that meet regulatory and audit requirements.
• Partner cross‑functionally with ads, data, product, legal, and infrastructure stakeholders to translate legal/privacy requirements into technical designs, make clear trade‑offs between privacy and utility, and drive alignment on roadmaps, launches, and policy changes that impact advertisers and users.
• Mentor and uplevel engineers across multiple teams, lead critical design and code reviews in privacy‑sensitive areas, and establish best practices and documentation for privacy‑by‑design, de‑identification, and large‑scale data systems.

What we’re looking for:

• BS+ in Computer Science (or related field) or equivalent practical experience.
• 8+ years of professional software engineering experience, with a focus on large‑scale data systems or distributed systems.
• Strong proficiency building and operating data pipelines and services using Java/Scala/Kotlin or Python, plus SQL; experience with modern big data ecosystems is a plus.
• Experience designing secure, reliable systems and APIs, with solid grounding in data modeling, access control, and performance optimization.
• Meaningful experience in at least one of: privacy‑preserving data systems (e.g., de‑identification, k‑anonymity), ads measurement/attribution, or large‑scale analytics/experimentation platforms.
• Proven ability to drive cross‑team technical initiatives from design through rollout, working closely with product, data science, and non‑engineering partners (e.g., Legal, Compliance).
• Strong communication and leadership skills, with a track record of mentoring engineers, raising engineering standards, and making sound decisions in ambiguous, high‑impact problem spaces.

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-REMOTE

#LI-KK6

Team & Mission

The Measurement Products team helps advertisers measure the incremental impact of their Pinterest campaigns and make informed investment decisions. We own and operate core measurement products including Pinterest Conversion Lift (PCL) Studies and Brand Lift Studies.

We build the platform these products run on and are evolving it into our next‑gen Measurement Hub, an extensible platform that enables faster product iteration, onboarding of new study types, and deeper integration with Pinterest’s enterprise data and experimentation systems. Our mission is to measure true incremental impact and translate it into actionable insights for advertisers and partners.

Role Summary

We’re seeking a Staff Engineer to lead the architecture and technical direction of the measurement platform behind how advertisers understand the impact of their investment on Pinterest. You’ll drive end‑to‑end platform evolution (pipelines, services, correctness, reliability), partner closely with Product and Data Science, and raise the bar on rigor, trust, and operational excellence in ads measurement.

What you’ll do: 

• Own end‑to‑end architecture and delivery of features for lift measurement products, from design and implementation through rollout and ongoing reliability.
• Design, build, and optimize large‑scale data pipelines that power study setup, experiment execution, and results computation.
• Drive AI enablement across the team by building the supporting tooling and processes (CI checks, test strategy, templates), coaching engineers, and ensuring adoption results in sustained improvements to delivery speed and system quality.
• Translate measurement methodology into production systems: partner with Data Science to operationalize study design requirements into pipelines, services, tooling, and guardrails.
• Build “rigor by default” mechanisms: automated data validation, randomization/holdout integrity checks, imbalance diagnostics, and continuous verification/backtesting.
• Raise the bar on data quality and trust: define SLAs, build monitoring and anomaly detection, and lead root‑cause analysis for pipeline and study issues.
• Mentor and up level engineers, driving strong technical execution and cross‑functional collaboration.

What we’re looking for:

• BS+ in Computer Science (or related field) or equivalent practical experience.
• 8+ years of professional software engineering experience, with a focus on data‑intensive systems.
• Strong proficiency building and operating large‑scale data pipelines (batch and/or streaming) using Java/Scala/Kotlin or Python, plus SQL.
• Experience designing reliable services and APIs, with solid foundations in distributed systems, data modeling, and performance optimization.
• Demonstrated ability to transform a team’s engineering workflow using AI—from pilot to broad adoption—through tooling, enablement, and change leadership, with clear metrics (cycle time, defect rate, on-call load, incident rate).
• Experience in AdTech and measurement products (e.g., conversion lift, brand lift) or adjacent experimentation/analytics platforms.
• Working knowledge of experimentation and causal measurement fundamentals (randomization, holdouts, confounders, significance, power).
• Practical experience with backtesting, controlled rollouts, and continuous verification for correctness in measurement/analytics systems.
• Demonstrated ability to lead large cross‑functional initiatives, drive alignment, and deliver measurable impact through technical leadership.

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-REMOTE

#LI-KK6

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

As a Senior Data Engineer at tvScientific, you will be a key player in implementing the robust data infrastructure to power our data-heavy company. You will collaborate with our cross-functional teams to evolve our core data pipelines, design for efficiency as we scale, and store data in optimal engines and formats. This is an individual contributor role, where you will work to define and implement a strategic vision for data engineering within the organization. 

What you'll do:

• Implement robust data infrastructure in AWS, using Spark with Scala
• Evolve our core data pipelines to efficiently scale for our massive growth
• Store data in optimal engines and formats
• Collaborate with our cross-functional teams to design data solutions that meet business needs
• Built out fault-tolerant batch and streaming pipelines
• Leverage and optimize AWS resources while designing for scale
• Collaborate closely with our Data Science and Product teams
• How we'll define success:
  • Successful implementation of scalable and efficient data infrastructure
  • Timely delivery and optimization of data assets and APIs
  • High attention to detail in implementation of automated data quality checks
  • Effective collaboration with cross-functional teams

What we're looking for:

• Production data engineering experience
• Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala
• Familiarity with data lakes, cloud warehouses, and storage formats
• Strong proficiency in AWS services
• Expertise in SQL for data manipulation and extraction
• Excellent written and verbal communication skills
• Bachelor's degree in Computer Science or a related field
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
• Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables
• Nice-to-Haves
  • Experience in adtech
  • Experience implementing data governance practices, including data quality, metadata management, and access controls
  • Strong understanding of privacy-by-design principles and handling of sensitive or regulated data
  • Familiarity with data table formats like Apache Iceberg, Delta

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-SM4

#LI-REMOTE

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

As a key member of our Data Science team, you'll be responsible for turning data into actionable insights, driving business decisions, and owning analytics projects from inception to completion. Day to day, your role will involve developing customized reporting and analytics tools to meet the unique needs of our clients. 

What you'll do:

• Write production code in Python.
• Design, launch, and analyze experiments to optimize ad campaigns.
• Create reporting and analytics tools for the Data Science Team's customers.
• Translate insights from reporting tools into tvScientific's Data Science Product.
  
  

What we're looking for:

• Ability to write and review production-level code in Python.
• Strong statistics and ML fundamentals.
• Desire to work in a fast-growing environment—comfortable with ambiguity, ownership, scaling new products, and an experimental, iterative development process.
• Experience defining and measuring the utility of new reporting and analytics tools.
• Ability to quickly translate between DS Analytics & DS Product team.
• Strong track record of providing high-quality service to the DS team’s customers/stakeholders.
• Adtech or CTV experience.
• Teaching experience is a plus.
• Big data experience with Scala, Apache Spark, Apache Beam, and AWS Athena is a plus.
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
• Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-SM4

#LI-REMOTE

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

We are seeking a Software Engineer to build out our simulation and AI capabilities. You'll design and implement systems that model the CTV advertising ecosystem — auction dynamics, bidding strategies, campaign outcomes, and counterfactual scenarios — and develop AI-driven tools that accelerate how we build, test, and deploy ML systems.

What you’ll do:

• Design and build simulation environments that model CTV auction mechanics, inventory supply, and advertiser competition
• Develop counterfactual and what-if frameworks for evaluating bidding strategies, budget allocation, and pacing algorithms offline
• Build AI agents that explore strategy spaces, generate hypotheses, and automate experimentation within simulated environments
• Use simulation to de-risk ML model deployments — validate new bidding and optimization strategies before they touch live traffic
• Define the technical direction for simulation and AI infrastructure and mentor engineers on the team

What we’re looking for:

• Systems programming experience in Zig or similar (C, C++, Rust)
• Deep understanding of probabilistic modeling, stochastic processes, or agent-based simulation
• Hands-on experience with modern AI tools: LLMs, code generation, agentic workflows — and good judgment about when they help vs. when they don't
• Adtech experience: you understand RTB mechanics, and the dynamics of programmatic advertising
• Ability to translate business questions ("what happens if we change our bid strategy?") into rigorous simulation frameworks
• Clear written communication: you'll be defining new technical directions and need to bring others along
• Ownership: you scope, design, and ship systems end-to-end with minimal direction
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
• Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.
• Nice-to-Haves:
  • Strong production Python skills and experience building simulation or modeling systems
  • Causal inference — uplift modeling, synthetic controls, difference-in-differences, or incrementality testing
  • Experience with discrete event simulation, Monte Carlo methods, or digital twins
  • Reinforcement learning — using simulated environments for policy learning and evaluation
  • Experience building agentic AI systems or multi-agent simulations
  • Big data experience with Scala and Spark
  • MLOps experience — model deployment, monitoring, and pipeline orchestration on AWS

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-SM4

#LI-REMOTE

The opportunity
Unity is building a robust, near real-time reporting platform that powers critical analytics and decision-making across our ecosystem. We are looking for a Data Engineer to help architect and implement the distributed data systems that drive this platform at scale.

In this role, you’ll design and build high-throughput, low-latency data processing pipelines that power reporting used by internal teams and external customers. You’ll operate at the intersection of distributed systems, stream processing, and cloud-native infrastructure — ensuring correctness, reliability, and scalability in a high-volume production environment.

This is a high-impact role where engineering rigor, architectural clarity, and production ownership matter.

What you'll be doing

• Design and implement near real-time data pipelines and reporting infrastructure.
• Architect distributed stream and batch processing systems using technologies such as Apache Flink, Spark, and Airflow.
• Build and maintain data processing frameworks that handle large-scale event ingestion and transformation with strong correctness guarantees.
• Ensure production-grade reliability, observability, and operability across distributed systems.
• Define and enforce data processing semantics including:
• Exactly-once processing
• Event time vs. processing time handling
• Stateful stream management
• Backpressure and fault tolerance strategies
• Collaborate cross-functionally with data consumers, product, and infrastructure teams to define scalable reporting solutions.
• Contribute to long-term platform architecture, setting engineering standards for performance, resilience, and maintainability.

What we're looking for

• Strong foundation in distributed systems and systems design.
• Hands-on experience building and operating large-scale data processing systems.
• Deep understanding of streaming concepts:
  -Exactly-once semantics
  -Watermarking and event-time processing
  - Stateful stream processing
  - Checkpointing and recovery
  - Backpressure handling
• Production experience with frameworks such as Apache Flink, Spark, Kafka, or similar technologies.
• Proficiency in Python, Java, or Scala.
• Experience with workflow orchestration tools (e.g., Airflow) for stream and batch coordination.
• Strong understanding of cloud-native architectures and distributed infrastructure (Kubernetes, containerization, cloud platforms).

You might also have

• Ability to lead architecture across teams and influence platform strategy.
• Experience defining technical roadmaps for distributed data systems.
• Track record of driving reliability improvements and scaling systems to high throughput environments.
• Mentorship and technical leadership across engineering teams.

Additional information

• Relocation support is not available for this position
• Work visa/immigration sponsorship is not available for this position

Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

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

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this Web site or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#SEN

The opportunity
Unity is building a robust, near real-time reporting platform that powers critical analytics and decision-making across our ecosystem. We are looking for a Data Engineer to help architect and implement the distributed data systems that drive this platform at scale.

In this role, you’ll design and build high-throughput, low-latency data processing pipelines that power reporting used by internal teams and external customers. You’ll operate at the intersection of distributed systems, stream processing, and cloud-native infrastructure — ensuring correctness, reliability, and scalability in a high-volume production environment.

This is a high-impact role where engineering rigor, architectural clarity, and production ownership matter.

What you'll be doing

• Design and implement near real-time data pipelines and reporting infrastructure.
• Architect distributed stream and batch processing systems using technologies such as Apache Flink, Spark, and Airflow.
• Build and maintain data processing frameworks that handle large-scale event ingestion and transformation with strong correctness guarantees.
• Ensure production-grade reliability, observability, and operability across distributed systems.
• Define and enforce data processing semantics including:
• Exactly-once processing
• Event time vs. processing time handling
• Stateful stream management
• Backpressure and fault tolerance strategies
• Collaborate cross-functionally with data consumers, product, and infrastructure teams to define scalable reporting solutions.
• Contribute to long-term platform architecture, setting engineering standards for performance, resilience, and maintainability.

What we're looking for

• Strong foundation in distributed systems and systems design.
• Hands-on experience building and operating large-scale data processing systems.
• Deep understanding of streaming concepts:
• Exactly-once semantics
• Watermarking and event-time processing
• Stateful stream processing
• Checkpointing and recovery
• Backpressure handling
• Production experience with frameworks such as Apache Flink, Spark, Kafka, or similar technologies.
• Proficiency in Python, Java, or Scala.
• Experience with workflow orchestration tools (e.g., Airflow) for stream and batch coordination.
• Strong understanding of cloud-native architectures and distributed infrastructure (Kubernetes, containerization, cloud platforms).

Additional information

• Relocation support is not available for this position
• Work visa/immigration sponsorship is not available for this position

Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

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

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this Web site or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#SEN

See yourself at Twilio

Join the team as Twilio’s next Software Engineer (L2)

About the job

We are looking for a talented Software Engineer to join our Messaging team. We are searching for engineers that take pride in delivering quality products and are enthusiastic about technology and strive for the opportunity to learn and share their knowledge. You’ll help us build and scale systems that support the core Messaging and Media functionalities in a rapidly evolving market and to provide a trusted experience to our customers.

In this role, you will play a crucial part in designing, building, and optimizing our platform to support a wide range of messaging use-cases. You will work closely with cross-functional teams to understand business requirements, design and implement reliable, scalable solutions for our Messaging Platform.

About You:

• Will bring your unique set of diverse experiences and background to our team in an open and collaborative manner so that we can all expand and grow faster.
• Have a desire to leverage your expertise but also dive into lesser known areas of technology, architecture, or whatever is needed to solve engineering day-to-day challenges.
• Have an open and honest communication style that always puts the customer first “Will the customer be delighted with this?”.
• Are comfortable dealing with ambiguity and a shifting landscape.
• Are curious, willing to learn, share and improve.
• You have a strong sense of ownership and accountability for the product you are delivering.

Responsibilities

In this role, you’ll:

• Design and build large-scale distributed messaging and media systems with a focus on reliability, availability, scalability and performance.
• Work closely with stakeholders and product teams to gather business requirements and translate them into effective technical solutions.
• Own your code end-to-end from development to deployment and provide operational support through on-call rotations.
• Take ownership of troubleshooting and resolving operational issues, with opportunities to enhance existing troubleshooting processes and tools.
• Participate in the refinement of the team's ticket backlog, estimating work and follow Agile ceremonies. 
• Mentor early in career engineers and contribute to a culture of continuous learning and improvement.

Qualifications 

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

Required:

• Bachelor’s Degree in CS or related field or equivalent working experience.
• 3+ years of related software development experience shipping multiple products / services.
• Proficiency in one or more programming languages including Java, Scala, C, C++ and advanced concepts like asynchronous programming, multi-threading etc. 
• Experience in AWS cloud solutions, Kubernetes/EKS, CI/CD pipelines like Buildkite & containerization frameworks like Docker.
• Experience with asynchronous communication patterns like Kafka, SQS, RabbitMQ etc
• Experience with relational and non-relational databases, SQL queries, query optimizations and ETL tools.
• Experience with Testing & Automation.
• Curiosity and interest in learning new programming languages and frameworks. 
• Working in agile teams or startup environments with strong customer focus. Commitment for engineering practices that ensure safe and fast paced releases of services. 
• Demonstrated organizational agility, cross-team collaboration, commitment for results, and excellent written and verbal communications.

Desired:

• On-call experience debugging large scale distributed systems.
• Experience with Devops infrastructure, specifically IaC tools like Terraform and ArgoCD.
• A strong plus if you have prior experience with MMS/SMS/RCS messaging protocols.
• Experience designing and implementing large scale solutions.
• Experience working in distributed and concurrent systems.
• Proficiency in debugging production infrastructure and services.
• Ability to work independently and as part of a team.

Location

This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA.

Travel 

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

Compensation

"*Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above."

The estimated pay ranges for this role are as follows:

• Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $116,960 - 146,200
• Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $123,760 - 154,700
• Based in the San Francisco Bay area, California: $137,520 - 171,900
• This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.

Applications for this role are intended to be accepted until June 20th, 2026, but may change based on business needs. 

About the Job:

As a Backend Engineer on LaunchDarkly’s AI Configs team, you'll build critical systems such as the web application that customers interact with on a daily basis and distributed systems that power AI evaluations at scale. These systems enable customers to control, monitor, and optimize their GenAI functionality. You’ll primarily work in Go and Python, and will work directly with other technologies and tools such as AWS, CockroachDB, and Datadog.

LaunchDarkly’s AI Configs team is on a mission to manage the complete software development lifecycle for GenAI features, from configuring to benchmarking to observing and beyond. This team has a huge opportunity ahead of it; we're growing fast and we need your help writing the next chapter in our story.

Responsibilities:

• Build and maintain scalable backend services and APIs that power the AI Configs product

• Collaborate with internal stakeholders, including product managers, designers, and other LaunchDarkly engineering teams, to understand real-world challenges and improve GenAI workflows using our own platform.

• Continuously optimize the performance, reliability, and scalability of backend systems

• Participate in architecture and design discussions, offering thoughtful input and collaborating with senior engineers to identify tradeoffs and make well-informed decisions

• Keep up-to-date with the latest developments in the AI field and in software development best practices

• Take ownership of code in production, participate in on-call rotations, and help improve the reliability and maintainability of our systems over time.

Qualifications:

• 2-4 years of experience with server-side programming languages (e.g. in Java / Scala, Ruby, Python, Golang)

• Willingness to work 2 days per week in our Oakland, CA office for mentorship and learning purposes. 

• Hands-on experience building GenAI features or working with Large Language Models (LLMs), either through direct model integration or leveraging AI APIs like OpenAI, Google Cloud AI, or AWS Bedrock.

• Understanding of prompt engineering, fine-tuning models, or deploying AI services in production environments.

• Experience with designing, implementing, and maintaining RESTful APIs

• Experience writing production-ready code with emphasis on quality and maintainability

• Experience with distributed systems or data ingestion

• Strong computer science fundamentals

• Committed to working in a communicative, collaborative environment

• Comfortable navigating ambiguous challenges in a rapidly evolving domain, and excited about staying at the forefront of AI advancements

• Strong sense of ownership and accountability for delivering impactful solutions

• Proven ability to work closely with Product and Design teams to define requirements for new features in a fast-paced iterative environment

About LaunchDarkly:

Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. 

The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:

• Improving the velocity and stability of software releases, without the fear of end customer outages
• Delivering targeted experiences by easily personalizing features to customer cohorts
• Maximizing the business impact of every feature through the ability to experiment and optimize
• Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
• Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability

At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com. 

Do you need a disability accommodation?

Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. 

Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly  directly for confirmed job openings and links to apply.

Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com.

RDQ427R175

At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

At Databricks, the Compute Infrastructure organization builds and operates the foundation that runs all Data, AI and stateful workloads across all major clouds. Our platform launches tens of millions of VMs per day, operates thousands of Kubernetes clusters, and must deliver extreme elasticity, reliability and cost efficiency.

As a Senior Software Engineer on the Compute Infra team, you will design and build the systems that power Databricks’ compute infrastructure to enable engineers to quickly launch and scale world-class products.

The impact you will have:

• Develop the compute abstractions that provide powerful capabilities for all Databricks workloads, enabling engineers to build world-class products with high velocity and best-in-class performance
• Design the workload orchestration and scheduling systems that orchestrates all types of workloads (serving, batch, stateful, GPU) with high performance and efficiency
• Scale the fleet management systems that launch and configure millions of VMs every day across cloud providers
• Raise the technical and operational bar through strong design practices, testing, and a culture of engineering excellence and platform mindset.
• Lead cross-team initiatives that span product and infrastructure surface areas.

What we look for:

• BS (or higher) in Computer Science or related field
• 5+ years of experience designing and building large-scale distributed systems
• Strong proficiency in one or more languages such as Java, Scala, Go, or C++
• Experience with service-oriented architectures and large scale distributed systems
• Familiarity with cloud platforms (AWS, Azure, GCP) and container/orchestration technologies (Kubernetes, Docker)
• Track record of shipping infrastructure that supports mission-critical workloads at scale

About the Data Platform Team

The Data Platform team owns the data platform and analytics systems that power decision-making across ngrok. We handle ingestion, modeling, metrics, and reporting-the systems that make sure every event is counted correctly and every number in a deck can be defended.

We manage about 500TiB of data, run a dagster instance with over 1,600 assets, maintain 550+ dbt models, and own Flink streaming pipelines that process ~22,000 messages per second on average.

This data is used across all teams @ ngrok, from marketing to financial reporting. Our systems must be correct, explainable, and resilient under real-world conditions: traffic spikes, schema changes, late-arriving events, and other challenges that come from running a large, globally distributed system.

We treat data as a product: reliable, observable, well-modeled, and thoughtfully designed. Our Data Platform team is part of the Engineering organization and doesn’t live in a silo.

What You’ll Actually Do

• Build the data backbone: You’ll design and evolve the pipelines and orchestration systems that move data across ngrok - from product events to financial reporting. Ingestion, transformation, modeling, reliability. The foundation everything else depends on.
• Make the numbers make sense: You’ll own core business and product datasets - usage, revenue, growth, performance-and ensure they’re accurate, reconciled, and trusted. No mystery metrics. No “why doesn’t this match?” Slack threads.
• Turn raw events into decision-ready insight: You’ll build and refine the models that power dashboards, planning, forecasting, and experimentation. Clean schemas. Durable definitions. Metrics people actually align on.
• Raise the bar on data reliability: You’ll implement validation, testing, observability, and monitoring across our data systems. Pipelines shouldn’t silently fail. Dashboards shouldn’t drift. Finance shouldn’t find surprises.
• Own the platform as it scales: You’ll improve performance, cost efficiency, and architectural design across our data stack (Airbyte, Dagster, dbt, Athena, Flink, Superset, and beyond). As traffic and customers grow, the data platform keeps up.
• Partner across the company: You’ll work closely with Product, Engineering, GTM, Finance, and Leadership. They’ll have hard questions. You’ll build the systems that make those answers obvious.

You Might Be a Great Fit If…

• You’re familiar with Python, SQL, and Scala
• You’re also comfortable in a language such as Go, Rust, C++, or Java (with bonus points for Go)
• You’re comfortable writing production-quality code and treating data systems like real software-not just queries in a notebook
• You’re interested in AWS infrastructure and Kubernetes, managed through Infrastructure as Code (Terraform or similar) — not click ops
• You’ve built and operated large-scale event streams, product telemetry, or high-volume ingestion pipelines in production
• You enjoy thinking about data models, invariants, lineage, and failure modes
• You care about data quality and observability, and you design systems that make errors visible-not silent
• You’re the person people ping when the numbers don’t add up-and you actually enjoy figuring out why

Extra credit if you’ve worked on:

• Usage-based billing, metering, revenue, or financial reporting systems
• Event-driven or streaming data architectures
• Customer-facing dashboards or internal executive reporting

Tech Stack

ngrok runs entirely on AWS. Engineers develop by using remote development tools and/or ssh to connect to remote EC2 environments that run a full Kubernetes cluster of the ngrok stack, closely mirroring production.

We self host a large part of our data stack on Kubernetes, namely dagster, Superset, Airbyte, and Flink. Our core data warehouse is in Athena, with the data being stored as Apache Iceberg. We also run some workloads on our Clickhouse Cloud infrastructure.

Our data codebase is a mix of Python and Scala 3. We use dbt for SQL modeling. All data tools are fully integrated with the rest of our developer platform.

The ngrok codebase is primarily Go and TypeScript. We use Postgres for persistence, Kafka for streaming, Protobuf for service boundaries, and Kubernetes, Terraform, Helm, and Buildkite to operate and ship reliably. React is used for user interfaces, and GitHub supports our development workflows and remembers everything.

Location

This is a remote position for candidates outside of the Bay Area and a hybrid role for candidates within commuting distance to San Francisco. Our Bay Area employees commute to the office on Tuesdays and Wednesdays.

Sponsorship

All candidates must be US-based, and legally authorized to work in the United States.

At this time, ngrok is unable to provide visa sponsorship for this position. Applicants must be authorized to work in the United States on a permanent, ongoing basis without the need for current or future sponsorship.

Compensation

bout the Admin Team

Our Admin Engineering team builds the systems that decide who can access ngrok, what they can do, and how everything is configured.

We own identity, access control, and configuration at scale—users, certificates, service accounts, domains, policies. If it answers “who can do what?”, it’s our problem. When things work, nobody notices. When they don’t, people get locked out or something gets exposed that really shouldn’t be.

A lot of this work lives in the tension between power and safety. Customers want full control and APIs for everything. They also want guardrails and sane defaults. You’ll build systems that manage both—without making either side miserable.

What You’ll Actually Do

Build the control plane

Design and operate the services and APIs behind admin workflows—the layer that defines how ngrok behaves in production.

Own identity and access

Develop and evolve IAM/RBAC systems across users, certificates, and service accounts. If something can authenticate or authorize, you’ll touch it.

Make configuration scale

Build global configuration systems for domains, policies, and traffic behavior—flexible enough for automation, safe enough for humans.

Make debugging possible

Improve observability across admin workflows so we can answer “what changed?” without guessing or digging through logs for an hour.

Ship systems people rely on

Work with product and platform teams to deliver features that are stable, understandable, and actually usable in production.

Keep things from breaking (or worse)

Ensure admin systems stay scalable, reliable, and hard to misuse—because mistakes here tend to be very visible.

You Might Be a Great Fit If…

• You’ve built backend systems that needed to be correct and hard to misuse
• You’re comfortable in Go, Rust, Java, or C/C++
• You understand APIs, distributed systems, and why auth is never “just add auth”
• You take ownership, especially when things get weird

Extra credit if you’ve worked on:

• Admin platforms, IAM, or enterprise SaaS
• Certificates, identity systems, or observability
• Systems where flexibility vs. safety is a constant fight

Tech Stack

ngrok runs entirely on AWS. Engineers develop by using remote development tools and/or ssh to connect to remote EC2 environments that run a full Kubernetes cluster of the ngrok stack, closely mirroring production. The codebase is primarily Go and TypeScript. We use Postgres for persistence, Kafka for streaming, Protobuf for service boundaries, and Kubernetes, Terraform, Helm, and Buildkite to operate and ship reliably. React is used for user interfaces, and GitHub supports our development workflows and remembers everything.

Location

This is a remote position for candidates outside of the Bay Area and a hybrid role for candidates within commuting distance to San Francisco. Our Bay Area employees commute to the office on Tuesdays and Wednesdays.

Sponsorship

All candidates must be US-based, and legally authorized to work in the United States.

At this time, ngrok is unable to provide visa sponsorship for this position. Applicants must be authorized to work in the United States on a permanent, ongoing basis without the need for current or future sponsorship.

Compensation

Senior Software Engineer

• Tier 1 (SF, LA, Seattle, NYC): $202,500 – $247,500
• Tier 2 (rest of US): $$186,300 – $227,700

Software Engineer III

• Tier 1 (SF, LA, Seattle, NYC): $180,000 – $220,000
• Tier 2 (rest of US): $165,500 – $202,400

Job level and actual compensation will be evaluated based on factors including, but not limited to, qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), internal equity with other team members, market data, and specific work location. We provide an attractive mix of salary and equity. #LI-Remote

Overview

We are seeking a talented and experienced Software Engineer with a strong background in backend engineering. As a member of our team, you will play a crucial role in designing, developing, and maintaining our innovative software solutions Mesh is a global company with headquarters in San Francisco, California USA. This candidate will work closely with the Engineering and Product teams spread across North America, Europe and India.

What You'll Do

• Develop and maintain backend services and APIs
• Work closely with Azure cloud services for deployment and scalability.
• Conduct thorough testing, debugging, and prompt resolution of software defects.
• Stay up-to-date with industry trends and emerging technologies.
• Contribute to code reviews, architectural decisions, and system design.
• Create high-quality, efficient, and reliable code following best practices.
• Optimize performance and scalability of backend systems for handling large data volumes.
• Stay updated on the latest trends and technologies in fintech/crypto and backend development.
• Build crypto first and secure products to facilitate traditional financial activity, such as payments, transfers etc.

Who You Are

• 5-7+ years of professional experience as a Backend Software Engineer, preferably in the fintech/crypto industry.
• Strong proficiency in backend programming languages such as C#, Java, Scala, Go, etc.
• A security first mindset: with good knowledge of common security concepts such as AuthN, AuthZ, SAML, API security, encryption etc
• An understanding of crypto concepts such as blockchains, RPCs, self custody wallets etc
• Solid understanding of RESTful API design principles and microservices architecture.
• Familiarity with cloud platforms such as Azure.
• Knowledge of DevOps practices and CI/CD pipelines.
• Excellent communication and collaboration abilities.

The annual base salary range for this role is $100,000-$225,000 in San Francisco and New York. The compensation range provided may span multiple career levels and will be narrowed during the interview process based on factors including a candidate’s experience, skills, qualifications, and geographic location. For candidates outside of San Francisco and New York, compensation will be adjusted to reflect the applicable market and location-based pay band. The base salary range listed excludes commission (if applicable), equity, and benefits. The pay range represents the minimum and maximum target for new-hire compensation. Actual compensation may vary and may be higher or lower depending on individual circumstances.

Social Finance, LLC seeks Software Engineer, Cloud Platform in San Francisco, CA: 

Job Duties: Own and ideate on technical solutions for platform requirements and user stories. Participate heavily in code and design reviews. Generate ideas for new initiatives and technologies. Become domain experts on infrastructure platforms. Collaborate and represent platform engineering with stakeholders in engineering, operations, legal, and compliance. Monitor system performance and implement optimizations to ensure high availability and scalability. Contribute to the design and development of a unified platform for orchestration, compute, storage, networking, and authentication on AWS, leveraging infrastructure-as-code tools. Proactively tackle diverse and complex technical challenges by applying creative problem-solving and sound judgment, considering trade-offs and making principle-based decisions. Full-time telecommuting is an option.

Minimum Requirements: Master’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field), or a related quantitative discipline, and two (2) years of experience in the job offered or related occupation.

Special Skill Requirements: (1) Java; (2) Kotlin; (3) Microservices; (4) Spring Boot; (5) AWS; (6) Scala; (7) Airflow; (8) Zookeeper; (9) Flutter; (10) GCP; (11) Terraform; (12) Python; (13) Kubernetes. Any suitable combination of education, training and/or experience is acceptable. Full-time telecommuting is an option.

Salary: $166,000.00 - $182,600.00 per annum & standard company benefits.

Submit resume with references using the apply button on this posting or by email to: Req.# 140.2 at: ATTN: HR, jobadverts@sofi.org.

#LI-DNI

Location: San Francisco Bay Area, California

REQ ID FEQ127R103

Mission

We are seeking experienced pre-sales professionals with a proven track record of helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Enterprise SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the High Tech and Manufacturing space.

Outcomes

• You work with multiple clients as the main technical voice for Databricks.
• You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy
• You implement the technical strategy in the account, in close understanding of the strategy.
• You build a movement of technical champions within the account.
• You align technical strategies around Databricks solutions.
• You provide structured mentorship for other team members.
• Gain the respect of your peers based on your experience, insight, and contributions.

Competencies:

• Proficiency at establishing virtual teams, and leading them to ultimate success within the account.
• Experience working very large (> $1m ARR), global accounts.
• Form relationships with executives and influencers.
• Present a convincing point-of-view to important decision-makers that leads them down a path of success.
• Technical in big data, data science and cloud.
• An ability in data-driven business transformation, and driving change with data.
• Production programming experience in Python, R, Scala or Java
• Nice to have: Databricks Certification

Overview

As an Engineering Manager, you will lead a global team of talented engineers in the development and delivery of our products. You will implement and drive the adoption of best engineering practices, promote a culture of continuous innovation and foster an innovative and highly accountable mindset amongst the team. Your leadership will be key to scale our high-performing team while navigating the challenges of a fast-paced startup environment. 

Responsibilities

• Lead and mentor a global engineering team, providing guidance, support, and development opportunities to help them grow professionally and technically.
• Oversee the planning, execution, and delivery of technical projects, ensuring they meet deadlines, budgets, and scope. Work with cross-functional teams to prioritize launches and requirements.
• Set engineering standards and practices to ensure the team delivers secure, scalable, and high-quality solutions. Foster a culture of code quality, performance, and security.
• Work closely with Product, Design and Go-To-Market teams to define and execute on product roadmaps. Contribute to the technical design and architecture of the platform.
• Drive continuous improvement of engineering processes, tools, and workflows. 
• Actively participate in ongoing recruiting efforts   in recruiting top-tier engineering talent. 
• Collaborate with HR on performance management, training and development.
• Lead efforts in scaling backend services, optimizing for performance, availability, and security.

Requirements

• 8+ years of experience in software engineering, with at least 2-3 years in a management role. 
• Strong proficiency in backend programming languages such as C#, Java, Scala, Go, etc.
• A security first mindset: with good knowledge of common security concepts such as AuthN, AuthZ, SAML, API security, encryption etc
• An understanding of crypto concepts such as blockchains, RPCs, self custody wallets etc
• Solid understanding of RESTful API design principles and microservices architecture.
• Familiarity with cloud platforms such as Azure.
• Knowledge of DevOps practices and CI/CD pipelines.
• Excellent verbal and written communication skills, with the ability to communicate complex technical concepts to non-technical stakeholders.
• Strong analytical and problem-solving skills, with the ability to navigate ambiguity and make critical decisions under pressure.
• A passion for innovation, learning, and growth. Comfort with ambiguity and the ability to thrive in a startup environment.

Preferred Qualifications

• Deep understanding of payment infrastructure, cryptocurrency, APIs, and security.
• Interest in crypto and fintech, including knowledge of blockchain technology, digital assets, and financial regulations. Previous experience in crypto industry is a plus.
• Proficiency in Azure technologies
• Background in security engineering

The annual base salary range for this role is $100,000-$400,000 in San Francisco and New York. The compensation range provided may span multiple career levels and will be narrowed during the interview process based on factors including a candidate’s experience, skills, qualifications, and geographic location. For candidates outside of San Francisco and New York, compensation will be adjusted to reflect the applicable market and location-based pay band. The base salary range listed excludes commission (if applicable), equity, and benefits. The pay range represents the minimum and maximum target for new-hire compensation. Actual compensation may vary and may be higher or lower depending on individual circumstances.

About the Role

As an Engineering Manager on Chime’s Data Platform, leading the Data Storage team, you will own the group that manages Chime’s online and analytical data stores and low-latency metric serving layer. Your team will be responsible for building and operating reliable, scalable, and secure storage foundations that power analytics, experimentation, and AI-driven product experiences across Chime.

You’ll partner closely with other Data Platform squads as well as Product Engineering, Security, and Analytics teams to define storage strategies, data contracts, and SLAs that support both high-scale batch workloads and latency-sensitive online use cases. Your leadership will directly impact how Chime stores, governs, and serves data - enabling trusted, self-serve, AI-ready data for Chimers across the company.

This role is not just about running infrastructure - it’s about setting a vision for the future of data storage at Chime, fostering a culture of technical excellence, and growing a high-performing team that can evolve our architecture as the business and our data scale.

The base salary offered for this role and level of experience will begin at $199,000 and up to $275,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

In this role, you can expect to

• Own the strategy and roadmap for Chime’s Data Storage Platform, including Snowflake, data lake and online data stores for low-latency access.
• Design and evolve scalable, high-performance storage architecture that balance reliability, cost, and ease of use for both analytical and in-product workloads.
• Ensure performant and secure data access by defining and enforcing access patterns, partitioning and clustering strategies, indexing, and caching and serving layers for key datasets and metrics.
• Collaborate across Data Platform and partner teams to define clear data contracts, schemas, and SLAs between producers, storage, and consumers.
• Build tooling and automation for governance and compliance across sinks (e.g., RBAC, PII protection, tokenization, lineage, and auditability) in partnership with Security, Risk, and Compliance.
• Manage and grow a team of engineers, setting clear expectations, providing coaching and feedback, and raising the bar on engineering quality and operational excellence.
• Establish strong operational practices, including on-call, incident management, postmortems, and SLOs for the storage and serving layers your team owns.
• Stay ahead of industry trends in data storage, lakehouse architectures, and AI/ML-ready data systems, and thoughtfully introduce technologies that improve our platform’s capabilities.

To thrive in this role, you have

• Have 8+ years of experience in high-scale, high-reliability software development, with a focus on platforms, infrastructure, and data storage systems.
• Have 3+ years of experience managing engineering teams, including hiring, performance management, and developing engineers.
• Have a track record of scaling products, platforms, and operations to support rapid growth in data volume, complexity, and criticality.
• Bring deep experience with data infrastructure components, such as data lakes and lakehouses (e.g., Iceberg), data warehouses (e.g., Snowflake), online and offline data stores, and both batch and real-time streaming systems.
• Have proven expertise in system and data architecture for scalable, secure, and cost-efficient data platforms, including schema design, data modeling, and partitioning strategies.
• Are comfortable working with modern data and infrastructure technologies, such as Spark, Flink, Kafka, Airflow, Kubernetes, and similar tools.
• Are proficient in Python or similar languages (e.g., Java, Scala) and familiar with SQL and performance tuning for analytical workloads.
• Have extensive experience in cloud-based data ecosystems, such as AWS (S3, DynamoDB, Redshift, Snowflake, EMR), GCP (BigQuery, Dataflow), or Azure equivalents.
• Understand data governance, security, and compliance best practices (e.g., RBAC, PII handling, auditability) and have helped design systems that meet regulatory and internal standards.
• Are deeply interested in the transformative potential of advanced AI systems and how to build AI-ready data foundations (metadata, lineage, semantic layers, feature and metric serving).
• Excel at building strong relationships with stakeholders across engineering, product, analytics, security, and finance, and can translate between technical and business contexts.
• Demonstrate strong people leadership, with a track record of building a culture of belonging and engineering excellence.

#LI-Hybrid #LI-GC1

FEQ227R10

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

Location: United States (remote)

What is Verse? 

Energy markets are more volatile than ever. Rapid electrification and the rise of AI are driving unprecedented demand for power, while energy costs continue to rise across the globe. For the world’s largest energy buyers, managing energy has never been more complex or more critical.

Verse helps these organizations manage complex power portfolios with confidence by unifying energy data, planning, forecasting, and operations in one tool. Our Energy Cost Intelligence platform, Aria, brings together energy, finance, and operations teams with real-time, finance-ready intelligence—replacing spreadsheets and consultants with precision across the entire energy lifecycle. Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster, smarter energy decisions that reduce risk and lower energy costs.

The Role

You will be a member of the technical staff designing, building, and maintaining the next generation of data platform tools, pipelines, and orchestration frameworks to support multiple teams and products across a diverse range of data at Verse. This role supports Core Engineering needs within the organization and builds on top of existing engineering foundations focused on data. As a technical leader with advanced data engineering expertise, teammates will look to you to vet proposals, solutions to internal and customer-facing problems, system designs, and drive the implementation of these solutions with highest standards of software-engineering best practices. You will be an integral part of scaling our data platform as the company grows.

Key Responsibilities

• Ensure data quality, contracts and integrity with best practices around access, governance, and federation throughout the data lifecycle
• Implement, maintain, and promote best practices and hygiene in our dataland code repository for others to follow and emulate
• Write shared libraries and reusable data tools across a variety of data flows, sources, and sinks
• Partnering closely with our Data Science and data-heavy internal teams to support various analytical and AI/ML workflows
• Foster a culture and mindset of well-designed systems, test-driven software, and proactive communication with a high degree of transparency, mutual respect, and consideration for teammates
• Participate in code reviews, maintain technical documentation, and adhere to best software development practices

What We're Looking For (Minimum Qualifications)

• Advanced software development skills in Python, Rust, Java, Scala, or similar data-oriented language ecosystems
• Deep understanding of databases, data {lake,ware}house architectures, and data pipeline solutions across heterogeneous data and workloads in cloud-native environments
• Proficiency in carefully handling large, complex data and processing them (streaming and batch) in both transactional and analytical settings
• Commitment to delivering high quality software on time or ahead of schedule while adhering to best software development practices
• Continuous obsession for staying informed on contemporary technologies, tools, libraries, services, frameworks, or breakthroughs that could benefit the team
• Discipline using generative AI tools in day-to-day work

What Will Make You Standout (Preferred Qualifications)

• Bachelor’s  or master's degree in Computer Science, Data Science, or a related field
• Senior level software development talent and up
• Proven track record being a technical leader in high-performing data engineering teams
• Intimate knowledge of scaling “big data” solutions in cloud-based environments
• Hands on experience deploying and maintaining software such as Hadoop, Spark, Airflow, DBT, Dagster, Temporal, Presto/Trino, Iceberg, AlloyDB, Postgres, HBase, BigQuery, BigTable, Fabric, Hive, RedShift, S3, GCS, etc.
• Experience building event-driven architectures with streaming tools such as Kafka, NATS, GCP Pub/Sub, Kinesis, Bufstream, Flink, Beam
• Knowledge of managed or hosted data solutions such as Databricks, Snowflake, ClickHouse, Tinybird, etc
• Practical knowledge working with data in formats like Parquet, Avro, Protobuf, time series, text, image, video
• Working closely to support AI/ML-focused teams (knowledge of MLflow and Ray is a big a plus)
• Comfort building internal dashboards and data-focused visualizations

What Makes Verse a Great Place to Work? 

• Lead with Empathy: We lift each other up with humility and kindness, always putting colleagues and customers first
• Be Honest & Transparent: We prioritize effective communication to build trust with our team, customers, and stakeholders
• Move with Balance & Precision: We believe speed and perseverance must be accompanied by thoughtfulness and reflection
• Leave the World a Better Place: We are passionate about our mission, and we strive to create a sustainable world for future generations

Base Pay Range

$180,000 - $250,000+

This is the estimated base salary range for this position, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to level, skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs.

Benefits and Employee Perks 

• Competitive compensation and equity grant at a high-growth start up 
• Comprehensive benefits package including medical, dental and vision insurance, and 401k 
• Flexible hours and unlimited PTO 
• Diverse and inclusive working environment 

Verse is an equal opportunity employer. All applicants and employees are considered for hire, promotion, and compensation without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, marital or familial status.

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.

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As one of the first engineers in the NYC Engineering office, you’ll have the opportunity to be part of a small, nimble team that’s innovating to build new products from the ground up. Our goal is to leverage the power of Databricks in data & AI to deliver vertical AI applications for both technical and business users. This will be a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks.   

The impact you'll have:

• Create novel, never-seen-before interfaces for GenAI agents that manage complex workflows while keeping the human in the loop through inspectability and transparency
• Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive user & business growth
• Lead by example with hands-on full-stack software development to create dynamic, user-centric experiences
• Enable mechanisms that can drive product-led growth, through seamless onboarding and sharing capabilities
• Direct the future of intuitive agentic applications at Databricks, in collaboration with cross-functional teams of innovative software engineers, product managers, and designers
• Establish best practices within the team & Databricks more widely for building valuable, AI products

What we look for:

• 10+ years of experience with HTML, CSS, and JavaScript
• Demonstrated product mindset with the ability to translate ambiguous customer problems into scrappy MVPs and iterate quickly based on data and user feedback.
• You care that AI features feel intuitive, trustworthy, and helpful, not just bolted on to an existing app
• High ownership and bias for action in 0→1 environments: you are comfortable making pragmatic trade-offs, operating with incomplete information, and driving projects from idea through launch and adoption.
• Strong ability to collaborate across product, engineering, and design teams to align technical strategy with company growth objectives.  
• Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember)
• 10+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go)
• Proven experience building and shipping end-to-end generative AI products, ideally with a significant UI/UX component
• Experience in developing deep product and business knowledge to connect abstract modeling and analysis tasks with business value

P-1607

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As one of the first engineers in the NYC Engineering office, you’ll have the opportunity to be part of a small, nimble team that’s innovating to build new products from the ground up. Our goal is to leverage the power of Databricks in data & AI to deliver vertical AI applications for both technical and business users. This will be a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks.   

The impact you'll have:

• Create novel, never-seen-before interfaces for GenAI agents that manage complex workflows while keeping the human in the loop through inspectability and transparency
• Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive user & business growth
• Lead by example with hands-on full-stack software development to create dynamic, user-centric experiences
• Enable mechanisms that can drive product-led growth, through seamless onboarding and sharing capabilities
• Direct the future of intuitive agentic applications at Databricks, in collaboration with cross-functional teams of innovative software engineers, product managers, and designers
• Define and drive the strategy for building end-to-end AI feature development by designing, building, and maintaining systems that are scalable, reliable, and performant.

What we look for:

• 10+ years of experience with HTML, CSS, and JavaScript
• Demonstrated product mindset with the ability to translate ambiguous customer problems into scrappy MVPs and iterate quickly based on data and user feedback.
• You care that AI features feel intuitive, trustworthy, and helpful, not just bolted on to an existing app
• High ownership and bias for action in 0→1 environments: you are comfortable making pragmatic trade-offs, operating with incomplete information, and driving projects from idea through launch and adoption.
• Strong ability to collaborate across product, engineering, and design teams to align technical strategy with company growth objectives.  
• Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember)
• 10+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go)
• Proven experience building and shipping end-to-end generative AI products, ideally with a significant UI/UX component
• Proven experience building and shipping end-to-end generative AI products
• Deep familiarity with LLMs and generative AI, including hands-on experience with techniques like retrieval-augmented generation (RAG), prompt design, evaluation, and monitoring AI quality and safety in production.

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.

Team

As an engineering team, we believe strongly that empathy improves our solutions. Seeing how people use the product is a priority and the way we get to the right answer. Engineers will have the opportunity to work closely with our team onsite to understand the variety of use cases that Peregrine serves.

We value both ownership and collaboration—you will take full responsibility for major features and work closely with other engineers to drive them to completion. We believe that humility and empathy are essential for building the right solutions—you will collaborate directly with our deployment team and users as we iterate to solve their problems. Perseverance and creativity are crucial to executing our vision.

Role

We are looking for a Staff Data Infrastructure Engineer to join our growing team, where you will have deep ownership over the data layer that underpins everything Peregrine does. You will architect and build the systems that ingest, store, and serve massive volumes of real-time operational data — enabling our customers to make critical decisions with speed and confidence.

This is a senior individual contributor role for someone who thrives on hard technical problems and brings the experience and judgment to shape foundational infrastructure decisions. You will tackle a wide range of complex challenges, including:

• Designing and operating a high-throughput, real-time data integration platform across diverse customer environments
• Architecting a scalable open table format layer for reliable data storage at petabyte scale
• Building and optimizing distributed data processing pipelines with Apache Spark and adjacent streaming technologies
• Driving performance, reliability, and cost efficiency across the full data infrastructure stack
• Collaborating with platform and product engineering teams to define data contracts, schemas, and integration patterns
• Establishing best practices, tooling, and patterns that raise the quality bar for data infrastructure across the organization

Our stack is constantly evolving but is built on AWS GovCloud, Apache Iceberg, Apache Spark, Apache Kafka, Airflow, Kubernetes, and more.

About You

• Deep passion for data infrastructure — you care about building systems that are correct, fast, and resilient at scale
• Thrive on ambiguity and are energized by defining the right solution to hard, open-ended problems
• Strong technical vision with the ability to translate complex data requirements into clean, durable infrastructure designs
• Desire to own significant portions of the data stack end-to-end, from ingestion to serving
• Committed to operational excellence — you build things you’re proud to operate

What We Look For

• 8+ years of experience architecting and operating large-scale data infrastructure systems in production environments
• Deep expertise with open table formats, particularly Apache Iceberg — including schema evolution, partitioning strategies, compaction, and time travel
• Extensive hands-on experience with Apache Spark for batch and streaming data processing at scale
• Strong background in real-time data integration and stream processing, leveraging technologies such as Apache Kafka, Apache Flink, or equivalents
• Solid experience with data pipeline orchestration using Airflow or similar tools
• Strong software engineering fundamentals in Python and/or Scala, with a track record of writing production-quality code
• Extensive experience with AWS or comparable cloud platforms, including S3-based data lake architectures
• Experience with Kubernetes and containerized deployment of data workloads
• Degree in Computer Science, Engineering, or a related field, or equivalent practical experience

Located in San Francisco, New York, or Washington DC and open to working in office

Salary Range: $200,000 - $275,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable)