About the Team:

We’re looking for a Staff Software Engineer I/II to join our Data Ingestion Team, which builds and operates the critical infrastructure that serves as the “front door” of StackAdapt’s event flow. In this role, you’ll own technical direction for critical parts of our ingestion platform, lead large-scale initiatives, and shape how data flows across the company.

The Data Ingestion team tackles complex distributed systems challenges at massive scale, with a focus on scalability, performance, and reliability. Our systems process over 10 billion events per day, powering core functions across bidding, reporting, billing, analytics, and machine learning. You will work on challenging technical problems and partner with teams across the company to drive key initiatives.

We design + build low-latency, highly reliable distributed systems for impressions, clicks, conversions, and third-party signals, ensuring data is accurate and available to downstream teams in real time. This is a high-impact area at the core of StackAdapt’s platform, the systems you own will directly shape data quality, system reliability, and the speed at which teams across the company can build and innovate. Our work sits at the cutting edge of large-scale distributed systems, leveraging modern technologies and architectures to solve complex real-time data challenges. The core stack includes Golang, Kafka, TiDB, Aerospike, Vitess, Kubernetes, and more.

If you enjoy solving complex distributed systems problems at scale and driving technical impact across teams, this role would be a great fit for you.

StackAdapt is a Remote First company. We are open to candidates located anywhere in Canada or the United States for this position.

What You’ll Be Doing:

• Own and lead large technical initiatives end-to-end, from design through production and monitoring
• Provide technical leadership and mentorship to engineers across the team
• Design, build, and operate highly scalable, distributed ingestion services for real-time and near-real-time scenarios
• Contribute hands-on as needed while enabling the team to execute effectively
• Build and maintain event ingestion pipelines using streaming technologies like Kafka
• Work with high-volume storage systems and databases to persist and serve data efficiently
• Partner with Data, ML, Product, and Platform teams to support evolving requirements
• Improve code quality, testing practices, system reliability, and observability
• Participate in design reviews, code reviews, and architectural discussions
• Balance and prioritize projects to maximize impact and align with company objectives

What You’ll Bring to the Table:

• Extensive experience building distributed systems and high-throughput backend services
• Proven ability to lead technical direction and drive large, cross-team initiatives
• Strong problem-solving and communication skills, with comfort working in ambiguous, complex domains
• Collaborative mindset with the ability to influence across teams
• Ability to think strategically, lead technically, and drive high-impact, scalable solutions
• Hands-on experience with streaming systems (Kafka or similar)
• Strong understanding of distributed systems trade-offs (consistency, availability, partition tolerance, scalability)
• Maintains an AI-forward approach to software engineering - leveraging AI to boost productivity, collaboration, and business automation
• Bonus: Familiarity with AdTech, event-driven architectures, or analytics systems

#LI-TM8

About the team

The Data Delivery team builds the systems that help StackAdapt customers and internal teams understand campaign performance.

We process, organize, and serve large volumes of campaign and marketing data so it can be used reliably across customer-facing dashboards, reporting, billing, planning, campaign pacing, measurement, exports, and internal analytics.

Our work turns raw activity — such as impressions, clicks, conversions, spend, pacing, audience reach, creative performance, and cross-channel engagement — into accurate and actionable insights.

The team works closely with product managers, backend engineers, web engineers, data scientists, analysts, business teams, and customer-facing teams to make data accurate, timely, scalable, and easy to use.

Why this role matters

StackAdapt is expanding into the next generation of AI-powered advertising and marketing execution. As the platform grows across media, email, social, and emerging AI-powered channels, customers need a trusted view of performance across the full customer journey.

The Data Delivery team is at the forefront of making this possible. We build the reporting, measurement, planning, billing, API, export, and data-serving systems that help customers trust the data, understand performance, and optimize campaigns.

As a Staff Software Engineer I on Data Delivery, you will lead complex technical initiatives across backend systems, with a focus on measurement and planning. You will act as a project and domain DRI for this area: translating product requirements into technical requirements, clarifying feasibility and trade-offs, shaping milestones, identifying risks, and keeping execution moving.

You will partner closely with product, engineering, and engineering management to recommend technical options, push back on unrealistic plans when needed, and help the team make sound decisions. Your work will help build the technical foundation for reliable customer-facing insights and make new product capabilities easier to launch and scale.

To learn more about StackAdapt’s broader platform vision, watch Yang Han discuss the evolution of StackAdapt’s AI-powered advertising and marketing platform: How AI Advertising Platform StackAdapt Connects Marketers With Agencies - CTO Yang Han

What you’ll be doing

• Domain ownership: Act as a project and domain DRI for measurement and planning initiatives within Data Delivery.
• Technical planning: Translate product requirements into technical requirements, clarify feasibility and trade-offs, shape milestones, and identify risks early.
• Execution leadership: Keep complex initiatives moving by unblocking decisions, coordinating across teams, and giving engineering leadership clear options and recommendations.
• Scalable data systems: Build reliable systems that process, organize, and serve large volumes of campaign and marketing data across StackAdapt.
• Customer-facing impact: Power reporting, measurement, planning, billing, pacing, exports, APIs, and analytics that customers and internal teams depend on.
• System design: Make thoughtful technical decisions that balance correctness, reliability, latency, freshness, cost, and long-term maintainability.
• Cross-functional partnership: Work closely with product, engineering, data science, analytics, and business teams to turn product goals into strong technical solutions.
• Operational excellence: Improve monitoring, testing, data quality, incident response, and documentation so our systems are easier to trust and operate.
• Technical mentorship: Support engineers through design reviews, code reviews, technical guidance, and clear communication of trade-offs.

What you’ll bring

• Backend and data systems experience: Strong experience building scalable services, distributed systems, data platforms, or data-intensive applications.
• Project leadership: Experience leading complex technical projects with ambiguous requirements, multiple stakeholders, and meaningful trade-offs.
• System design depth: Strong judgment across APIs, data pipelines, databases, distributed systems, observability, reliability, and operational ownership.
• Data quality mindset: Ability to reason about correctness, freshness, completeness, consistency, cost efficiency, and customer trust.
• Product judgment: Interest in building systems that support customer-facing reporting, measurement, planning, optimization, and analytics.
• Technical communication: Ability to explain decisions clearly, align stakeholders, and document important trade-offs.
• Mentorship: Experience helping other engineers grow and raising the technical bar of a team.
• Technical stack: Strong programming skills; experience with Golang and technologies such as Kafka, TiDB, Redshift, Vitess, Iceberg, StarRocks, or Trino is a plus.
• Domain experience: Experience in adtech, marketing technology, reporting, analytics, billing, attribution, planning, or high-volume event processing is a plus.

What success looks like

You will help Data Delivery build trusted, scalable, and efficient data systems that customers and internal teams rely on to understand performance and make better decisions.

In practice, this means:

• Measurement and planning initiatives have clear technical direction, realistic milestones, and strong execution across teams.
• Customers can trust the data they use to evaluate and optimize campaigns.
• Core data systems are more reliable, scalable, and easier to build on.
• New metrics, datasets, APIs, exports, and reporting capabilities can launch faster and with greater confidence.
• Product and engineering teams can build new advertising, marketing, measurement, and AI-powered capabilities more easily.
• The team makes better technical decisions because trade-offs are clearly understood and communicated.
• Engineers around you grow through your mentorship, guidance, and example.
• Data Delivery helps StackAdapt scale new product opportunities by giving customers a trusted view of performance across channels and the customer journey.

#LI-TM8

About the team

The Data Delivery team builds the systems that help StackAdapt customers and internal teams understand campaign performance.

We process, organize, and serve large volumes of campaign and marketing data so it can be used reliably across customer-facing dashboards, reporting, billing, forecasting, campaign pacing, measurement, exports, and internal analytics.

Our work turns raw activity — such as impressions, clicks, conversions, spend, pacing, audience reach, creative performance, and cross-channel engagement — into accurate and actionable insights.

The team works closely with product managers, backend engineers, web engineers, data scientists, analysts, business teams, and customer-facing teams to make data accurate, timely, scalable, and easy to use.

Why this role matters

StackAdapt is expanding into the next generation of AI-powered advertising and marketing execution. As the platform grows across media, email, social, and emerging AI-powered channels, customers need a trusted view of performance across the full customer journey.

The Data Delivery team is at the forefront of making this possible. We build the reporting, measurement, forecasting, billing, API, export, and data-serving systems that help customers trust the data, understand performance, and optimize campaigns.

As a Senior Staff Software Engineer on Data Delivery, you will help shape the long-term technical strategy for Data Delivery and the broader Stats & Analytics domain. You will work across teams to understand how the platform fits together, identify the right technical investments, and enable new product and feature development through scalable, reliable, and well-designed data systems.

This role is ideal for someone who can operate across a broad technical surface area, connect product goals with platform architecture, and influence technical direction beyond a single team.

To learn more about StackAdapt’s broader platform vision, watch Yang Han discuss the evolution of StackAdapt’s AI-powered advertising and marketing platform:
How AI Advertising Platform StackAdapt Connects Marketers With Agencies - CTO Yang Han

What you’ll be doing

• Technical strategy: Shape the long-term architecture and technical direction for Data Delivery and related Stats & Analytics systems.
• Cross-team leadership: Lead initiatives that span multiple teams, systems, and product areas, helping teams align on durable technical solutions.
• Platform enablement: Build and guide systems that make it easier to launch new reporting, measurement, forecasting, billing, export, and analytics capabilities.
• System design: Make high-impact technical decisions across APIs, data pipelines, data models, distributed systems, storage, serving layers, and operational patterns.
• Product partnership: Work with product, engineering, data science, analytics, and business leaders to translate company priorities into technical roadmaps.
• Technical quality: Identify systemic gaps in reliability, scalability, data quality, developer experience, and operational ownership, then drive improvements.
• Decision-making: Clarify trade-offs around correctness, latency, freshness, cost, migration complexity, maintainability, and long-term platform leverage.
• Technical mentorship: Coach and mentor engineers, including senior engineers, through architecture reviews, design discussions, and strategic technical guidance.

What you’ll bring

• Broad technical leadership: Experience shaping technical direction across teams, domains, or large platform areas.
• Backend and data systems expertise: Deep experience building scalable services, distributed systems, data platforms, or data-intensive applications.
• Strategic system design: Strong judgment across APIs, data pipelines, databases, distributed systems, observability, reliability, and long-term architecture.
• Cross-functional influence: Ability to align engineering, product, data science, analytics, and business stakeholders around technical strategy.
• Platform thinking: Ability to design systems that create leverage for multiple teams and make future product development easier.
• Data quality mindset: Strong ability to reason about correctness, freshness, completeness, consistency, explainability, cost efficiency, and customer trust.
• Business and product judgment: Ability to connect technical investments to customer impact, product velocity, reliability, and long-term business value.
• Technical communication: Ability to explain complex technical trade-offs clearly to both technical and non-technical audiences.
• Mentorship: Experience developing senior engineers and raising engineering standards across a team or domain.
• Technical stack: Strong programming skills; experience with Golang and technologies such as Kafka, TiDB, Redshift, Vitess, Iceberg, StarRocks, or Trino is a plus.
• Domain experience: Experience in adtech, marketing technology, reporting, analytics, billing, attribution, forecasting, or high-volume event processing is a plus.

What success looks like

You will help Data Delivery and the broader Stats & Analytics domain build trusted, scalable, and efficient data systems that enable faster product development and better customer outcomes.

In practice, this means:

• Data Delivery has a clear long-term technical direction that supports StackAdapt’s product and platform growth.
• Teams can launch new reporting, measurement, forecasting, billing, export, and analytics capabilities faster and with greater confidence.
• Core data systems are more reliable, scalable, cost-efficient, and easier to evolve.
• Product and engineering teams have a stronger understanding of how Stats & Analytics systems fit together.
• Technical trade-offs are clearly understood, documented, and aligned across teams.
• Engineers around you grow through your mentorship, strategic guidance, and example.
• Data Delivery helps StackAdapt scale new advertising and marketing opportunities by giving customers a trusted view of performance across channels and the customer journey.

Power the Future of AI at Roblox!

Join the AI Platform team at Roblox, where we are building the infrastructure that enables world-class AI/ML experiences. Our mission is to empower developers and creators by providing scalable, high-performance systems that drive AI innovation at an unprecedented scale.

As an AI Platform Engineer specializing in ML Infrastructure, Training data Infrastructure and Feature Store Infrastructure, you will design and build next-generation ML data platforms, enabling AI applications across recommendations, search, safety, content generation, fraud detection, and more. Your work will directly impact millions of users, supporting AI-driven experiences across the entire Roblox ecosystem.

Why This Role?

• Massive Impact: Your contributions will support billions of daily interactions, powering AI-driven experiences across gaming, learning, social connections, and digital creativity.
• End-to-End Ownership: Be a key architect in defining and building Roblox’s Training Data pipelines and Feature Store infrastructure from the ground up.
• Cutting-Edge Growth: Work at the intersection of AI/ML, data engineering, and distributed systems, solving some of the most complex large-scale challenges in the industry.

You will:

• Develop a scalable Feature Store: Architect and implement a system that supports both batch and real-time feature computation, storage, and serving, enabling low-latency AI inference at scale. Develop Sequence Feature Stores to collect raw user events and power training of transform models for recommendation engines at Roblox. 
• Develop Roblox’s first training data platform: Architecture and engineer training data collection, reusability and reliability while solving world class engineering problems like point-in-time joins, feature injection. Power batch and realtime model training. 
• Engineer large-scale ML data pipelines: Design, optimize, and maintain high-throughput streaming and batch ETL pipelines that ingest, process, and serve billions of records per day.
• Build a feature engineering framework to empower 100s of machine learning engineers to develop, author, experiment and productionize millions of signals into the system quickly, easily and reliably. 
• Enable online and offline inference: Ensure real-time, low-latency feature access for AI inference while maintaining consistency and robustness for batch model training.
• Collaborate with cross-functional AI teams: Partner with ML researchers, data engineers, and product teams to build the next-gen AI infrastructure that fuels innovation at Roblox.
• Research & innovate: Stay at the forefront of AI infrastructure by exploring the latest in VectorDBs, Feature Stores, Graph ML, Agentic Systems and Real-time AI serving. 

You have:

• 5+ years of experience in AI/ML data infrastructure, feature stores, training data infrastructure. Experience working with industry leading NoSql databases like DynamoDB, Cassandra, cockroachDB and many more. 
• Expertise in building scalable ML data pipelines for both batch and real-time environments.
• Strong software engineering skills with experience in distributed computing frameworks (e.g., Spark, Flink, Ray) and real-time data systems (e.g., Kafka, Redis, DynamoDB).
• Deep knowledge of ML Feature Stores (e.g., Feast, Tecton, Vertex AI Feature Store) and embedding/vector search infrastructure.
• Familiarity with Knowledge Graphs and graph-based ML applications (e.g., Neo4j, TigerGraph, AWS Neptune).
• A Bachelor's degree in Computer Science, Engineering, or a related field

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more at geniussports.com. 

About the Role  

We’re looking for a Senior Software Engineer on our Sports AI team to help build the next generation of real-time AI systems powering sports analysis and insights. 

These systems transform live sports broadcasts (incorporating signals from video, crowd noise, audio commentary, and text) into a structured understanding of game context and auto-generated insights. The outputs from these systems power a range of products including automated highlight clipping, augmented broadcasts, semi-automatic play-by-play collection, and natural-language insight generation. For example, these systems can detect a goal, attribute it to the correct player, and localize where it occurred on the pitch within seconds by combining crowd noise spikes, commentary signals, and video cues. 

This role sits at the intersection of streaming and distributed systems, AI, and product engineering. You’ll build and operate real-time pipelines that process noisy, asynchronous inputs under tight latency constraints. These systems combine traditional streaming and data processing techniques with modern multimodal AI models to produce reliable outputs in production. 

You’ll work on challenges like aligning signals across multiple sources, handling uncertainty and inconsistency in model outputs, and designing systems that degrade gracefully in real-world conditions. We are early in building these capabilities, so the role involves working through ambiguity, experimenting with different approaches, and building new systems from first principles where established patterns don’t yet exist. 

Key Responsibilities 

• Design, build, and operate real-time streaming systems that convert live sports broadcasts into structured events, attributes, and insights
• Ingest and synchronize signals from video, audio, commentary, and data feeds under real-world latency and reliability constraints
• Integrate modern AI models into production systems, including multi-step pipelines where model outputs are composed, validated, and refined
• Design and implement evaluation and observability frameworks to measure system quality, including offline benchmarks, real-time metrics, and regression testing
• Develop mechanisms for identifying and handling uncertainty in model outputs, such as confidence scoring, validation checks, and human-in-the-loop workflows where appropriate
• Own systems end-to-end from early prototypes through production, making key architectural decisions around scalability, reliability, and performance
• Collaborate closely with product and data partners to shape, prioritize, and ship high-impact systems
• Mentor engineers and help establish best practices for building and operating applied AI systems in production 

  
Qualifications   

• 5+ years of experience building production-grade software systems 
• Strong software engineering fundamentals including system design, testing, observability, and performance 
• Experience building streaming, data-intensive, and/or distributed systems with real-time constraints
• Proven ability to design scalable systems that are robust under real-world conditions, including handling partial failures, inconsistent data, and latency tradeoffs
• Ability to evaluate system quality beyond traditional metrics (e.g., ambiguous or probabilistic outputs)
• Product-minded: able to translate ambiguous problems into practical, high-impact solutions
• Strong, demonstrated interest in building AI-powered features or systems; keep up with latest generative AI progress and capabilities
• Comfortable working in fast-moving, iterative environments with evolving requirements 

  
Preferred Qualifications   

• Hands-on experience integrating LLMs and other ML/AI systems in production workflows via platforms like Vertex AI or AWS Bedrock
• Experience building or maintaining human-in-the-loop workflows
• Familiarity with streaming systems and tooling (e.g., Pulsar, Kafka, Flink, etc.)
• Experience working with audio/video streaming and processing systems, including familiarity with media delivery protocols (e.g., HLS, DASH, RTP), container formats, codecs, and tooling such as FFmpeg or GStreamer
• Background or strong interest in sports
• Experience with Rust 

The salary for this role is based on an annualized range of $160,000 - $230,000 USD. This role will also be eligible to take part in Genius Sports Group's benefits plan.

We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.

As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports. One team, being brave, driving change 

We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius Sports.

Let us know when you apply if you need any assistance during the recruiting process due to a disability.

We are seeking a talented and versatile DevOps Engineer to enhance our software infrastructure for aircraft systems in government and defense applications. This role focuses on creating backend integrations with engineering and production environments, as well as developing frontend views to support seamless data visualization and user interactions. Our tech stack is built upon C, C++, C#, and python in server, desktop, and RTOS environments. The ideal candidate will bridge development and operations, ensuring reliable, scalable, and secure systems that integrate with aircraft hardware, avionics, payloads, and mission planning software. 

Responsibilities 

• Backend Integration: Design and implement backend integrations connecting engineering tools, production systems, and aircraft components (e.g., avionics data streams, mission planning APIs) to ensure efficient data flow and automation. 

• Frontend Development: Create intuitive frontend views and user interfaces for monitoring, controlling, and analyzing aircraft and business operations, using modern web technologies to provide real-time insights and dashboards. 

• CI/CD Pipeline Management: Build and maintain continuous integration and deployment pipelines to automate testing, builds, and releases across development, staging, and production environments. 

• Infrastructure Automation: Manage cloud and on-premises infrastructure using IaC (Infrastructure as Code) tools to support scalable software deployments. 

• System Monitoring and Security: Implement monitoring, logging, and alerting systems; ensure compliance with defense standards (e.g., DoD security requirements) and best practices for data integrity and cybersecurity. 

• Cross-Functional Collaboration: Work with software engineers, hardware teams, and program managers to integrate DevOps practices into development workflows. 

• Performance Optimization: Identify and resolve bottlenecks in backend and frontend systems to improve reliability, speed, and user experience in mission-critical applications. 

• Documentation and Best Practices: Maintain comprehensive documentation for integrations, views, and processes; promote DevOps culture through training and process improvements. 

Qualifications 

• Education: Bachelor’s degree in Computer Science, Engineering, or a related field; equivalent experience considered. 

• Experience: 4+ years in DevOps, backend development, or full-stack engineering, with hands-on experience in aerospace, defense, or similar high-tech industries preferred. 

• Technical Skills:  
  • Server: Highly proficiency with Linux or POSIX environments and tools (eg. Shell scripting, log management, administration). 
  • Backend: Proficiency in languages like Python, Node.js, or Go; experience with APIs, databases (e.g., SQL/NoSQL), and integration tools (e.g., Kafka, RESTful services). 
  • Frontend: Proficient in HTML/CSS/JavaScript and frameworks like React, Vue, or Angular for creating responsive views. 
  • DevOps Tools: Expertise in CI/CD (e.g., Jenkins, GitLab CI), containerization (Docker, Kubernetes), IaC (Terraform, Ansible), and cloud platforms (AWS, Azure). 
  • Reporting and Telemetry: Strong background in the use of telemetry tools (eg. DataDog, New Relic, Signoz), and reporting tools (eg. Grafana, Superset, Tableau), experience with OpenTelemetry is a plus. 
• Problem-Solving: Ability to troubleshoot complex integrations and optimize systems for performance and security. 

• Communication: Excellent verbal and written skills to collaborate with technical and non-technical stakeholders. 

• Defense Industry Experience: Familiarity with DoD standards, ITAR, or secure environments is a plus. 

• Certifications: AWS Certified DevOps Engineer, Kubernetes Administrator, or similar are advantageous. 

SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we’re simplifying and modernizing the ticketing industry.

SeatGeek is a technology innovator on a mission to disrupt the $300 billion ticketing industry. We have the product, vision, and team to make life better for performers, venues, and fans, and build a generational consumer brand in the process. All we’re missing is you.

We’re looking for Software Engineers with prior payments experience to join our enterprise payments team, where we’re building innovative solutions for Rightsholders for their payments infrastructure across online and physical payments.

What you'll do

• Run a modern, containerized service-oriented architecture using industry-leading software development practices
• Ship code to production many times a day
• Solve complex performance problems, empower a data-driven business and scale our software to support our booming business
• Build performant, beautiful, inclusive user interfaces that delight our users and enhance our brand
• Evaluate new technologies and improve our software stack to keep our technological edge
• Leverage cutting-edge AI tools to bring ideas to life faster than ever while upholding SeatGeek’s technical and product standards; no token limits
• Work across teams and discipline boundaries to develop the best product in our industry
• Own large areas of the payments stack, from design through operation, including reliability, cost, and performance outcomes
• Iterate and develop against our native payment processing solution, including growing usage across our US and EMEA client base
• Collaborate closely with Finance, Risk, and Product to define and deliver payment strategies

What you have

• Experience building business critical software in a fast-paced environment. We'll be interested in hearing about what you've built and how
• Experience solving complex technical challenges. SeatGeek engineers create custom solutions to unique ticketing problems, including high traffic onsales, interactive venue maps, inventory tracking, and event matching. We'll be excited to hear about challenging problems you've solved
• Passion for software craftsmanship and product. You have well-considered opinions about how software should work, and hold yourself and your code to a high standard
• A product mindset. You think beyond the code, about user experience, business impact, and what makes a great product tick
• Commitment to your teammates. You enjoy working with a diverse group of people with different experiences and take pride in mentoring and learning from others
• Experience owning end-to-end payment systems and integrations with external processors (e.g., Stripe, Adyen), including designing resilient, idempotent workflows and handling real-world failure modes.
• Experience operating payment systems in production, including monitoring, incident response, and performance optimization (e.g., authorization rates, cost efficiency).
• Experience working cross-functionally with Product, Finance, and Risk to deliver payment solutions aligned with business goals.
• Experience leading projects or mentoring engineers, with interest in growing into a broader technical or people leadership role.
• Experience ensuring financial correctness through reconciliation, auditability, and robust data modeling

Our stack

You do not need experience with any of these, but we thought you might be curious. What we care about is your experience, skills, and approach to problem solving. Tools can be learned.

• Languages: Python (FastAPI), Go, C# (.NET Core), React+Typescript, Swift, Kotlin
• Infrastructure: AWS, Kubernetes, ArgoCD, Datadog, Gitlab
• Datastores: Aurora (Postgres), ElastiCache (Memcached), OpenSearch, DynamoDB
• Streaming & workflows: Kafka, Flink, Airflow, Temporal

Perks

• Equity stake
• Discretionary annual bonus
• Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely
• A WFH stipend to support your home office setup
• Unlimited PTO
• Up to 16 weeks of fully-paid family leave 
• 401(k) matching 
• Student loan matching program
• Health, vision, dental, and life insurance
• Up to $25k towards family building, reproductive health services and Gender-affirming care
• $500 per year for wellness expenses
• Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical
• $120 per month to spend on tickets to live events
• Annual subscription to Spotify, Apple Music, or Amazon music

The salary range for this role is $144,000 - $209,000 USD. This role is equity eligible. In addition, you may receive a discretionary annual bonus based on individual and company performance. Actual compensation packages within that range are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location.

SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us!

To review our candidate privacy notice, click here.

#LI-Remote

SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we’re simplifying and modernizing the ticketing industry.

SeatGeek is a technology innovator on a mission to disrupt the $300 billion ticketing industry. We have the product, vision, and team to make life better for performers, venues, and fans, and build a generational consumer brand in the process. All we’re missing is you.

We are looking for Software Engineers with varying levels of experience to join SeatGeek’s R&D team.

What you'll do

• Run a modern, containerized service-oriented architecture using industry-leading software development practices
• Ship code to production many times a day
• Solve complex performance problems, build a many-sided marketplace, empower a data-driven business and scale our software to support our booming business
• Build performant, beautiful, inclusive user interfaces that delight our users and enhance our brand
• Evaluate new technologies and improve our software stack to keep our technological edge
• Leverage cutting-edge AI tools to bring ideas to life faster than ever while upholding SeatGeek’s technical and product standards; no token limits
• Work across team and discipline boundaries to develop the best product in our industry

What you have

• Experience building business critical software in a fast-paced environment. We'll be interested in hearing about what you've built and how
• Experience solving complex technical challenges. SeatGeek engineers create custom solutions to unique ticketing problems, including high traffic onsales, interactive venue maps, inventory tracking, and event matching. We'll be excited to hear about challenging problems you've solved
• Passion for software craftsmanship and product. You have well-considered opinions about how software should work, and hold yourself and your code to a high standard
• A product mindset. You think beyond the code, about user experience, business impact, and what makes a great product tick
• Commitment to your teammates. You enjoy working with a diverse group of people with different experiences and take pride in mentoring and learning from others

Our stack

You do not need experience with any of these, but we thought you might be curious. What we care about is your experience, skills, and approach to problem solving. Tools can be learned.

• Languages: Python (FastAPI), Go, C# (.NET Core), React+Typescript, Swift, Kotlin
• Infrastructure: AWS, Kubernetes, ArgoCD, Datadog, Gitlab
• Datastores: Aurora (Postgres), ElastiCache (Memcached), OpenSearch, DynamoDB
• Streaming & workflows: Kafka, Flink, Airflow, Temporal

Perks

• Equity stake
• Discretionary annual bonus
• Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely
• A WFH stipend to support your home office setup
• Unlimited PTO
• Up to 16 weeks of fully-paid family leave 
• 401(k) matching 
• Student loan matching program
• Health, vision, dental, and life insurance
• Up to $25k towards family building, reproductive health services and Gender-affirming care
• $500 per year for wellness expenses
• Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical
• $120 per month to spend on tickets to live events
• Annual subscription to Spotify, Apple Music, or Amazon music

The salary range for this role is $144,000 - $209,000 USD. This role is equity eligible. In addition, you may receive a discretionary annual bonus based on individual and company performance. Actual compensation packages within that range are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location.

SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us!

To review our candidate privacy notice, click here.

#LI-Remote

Senior Service Reliability Engineer

Location: Aliso Viejo | Hybrid 

As a part of Sony Computer Entertainment, the Gaming, Developer and Future Technology Group (GDFT) is leading the cloud gaming revolution, putting console-quality video games on any device, from TVs to consoles to mobile devices and beyond.

Our Service Reliability Engineering team plays a significant role in delivering on the promise of a great cloud gaming experience to our customers.  We do this by influencing design and operational decisions towards the overall stability of the gaming service. Our SREs focus on three main things: overall ownership of production, production code quality, and deployments. The successful candidate will be self-directed and able to participate in the way we make decisions at different levels.

We expect our SREs to have opinions on the state of our service and provide critical feedback during different phases of the operational lifecycle. We are engaged throughout the S/W development lifecycle, ensuring the operational readiness and stability.

Responsibilities

• Taking a leadership role in ongoing improvements in Reliability and Scalability

• Work closely with SRE Management to define KPIs, processes and drive continuous improvement

• Influence the architecture and implementation of solutions within the division

• Mentor more junior SRE staff and enable them for success

• Act as a voice to represent SRE in the wider organization

• Represent the operational scalability of solutions in the wider division

• Lead small-scale projects from inception to implementation

• Design platform-wide solutions and provide technical leadership during their implementation

• Demonstrate a high-level of organizational skills and initiative in the role

Qualifications: 

• Minimum of 7+ years working experience in Software Development and/or Linux Systems Administration role.

• Bachelor’s degree or equivalent expereince

• Strong interpersonal, written and verbal communication skills.

• Available to be scheduled in on-call rotation.

• Proficient as a Linux Production Systems Engineer, with experience managing large scale Web Services infrastructure.

• Development experience in one or more of the following programming languages:

  • Python (preferred)

  • Bash, Go, Java, C++, or Rust

• In addition, experience with at least 3 of the following topics:

  • Distributed data storage at scale (Hadoop, Ceph)

  • NoSQL at scale (MongoDB, Redis, Cassandra)

  • Data Aggregation technologies. (ElasticSearch, Kafka)

  • Scaling and running traditional RDBMS (PostgreSQL, MySQL) with High Availability

  • Monitoring & Alerting (Prometheus, Grafana), and Incident Management toolsets 

  • Kubernetes and/or AWS (deployment and management)

  • Software Distribution (Package management and distribution at scale)

  • Configuration Management (ansible, saltstack, puppet, chef)

  • S/W Performance analysis and load testing (QA or SDET experience: a plus)

Service Reliability Engineer

Do you want to use transformative technologies to achieve greater scalability and efficiency? Do you want a career that combines your engineering skills and your passion for video gaming? Are you fascinated by the technologies behind the Internet and cloud computing? If so, join us!

As a part of Sony Computer Entertainment, the Gaming, Developer, and Future Technology group (GDFT) is leading the cloud gaming revolution, putting console-quality video games on any device, from TVs to consoles to mobile devices and beyond. Our SREs focus on three main things: overall ownership of production, production code quality, and deployments. The successful candidate will be self-directed and able to participate in the way we make decisions at different levels.

We expect our SREs to have opinions on the state of our service, and provide critical feedback during different phases of the operational lifecycle. We are engaged throughout the S/W development lifecycle, ensuring operational readiness and stability.

Requirements

• Minimum of 5+ years working experience in Software Development and/or Linux Systems Administration role.
• Strong written and verbal communication skills; able to work effectively with engineers and stakeholders.
• Willingness to participate in an on-call rotation and lead/assist in incident response
  
  

Skills & Knowledge

• 5+ years of experience in software development and/or Linux systems administration in production environments.
• BS in Computer Science or equivalent experience required. 
• Hands-on experience with Kong API Gateway or similar enterprise API gateway technologies.
  • Operate and troubleshoot the gateway in production: routing/services, plugins, TLS/cert management, authn/authz, and performance/latency tuning.
  • Own lifecycle and reliability practices: upgrades and configuration changes (IaC/GitOps), safe rollouts/rollback, monitoring, etc.
• Hands-on experience with Service Mesh technologies such as Istio, Linkerd or Kuma.
• Strong understanding of traffic management concepts, including routing, retries, timeouts, circuit breaking and traffic shifting (canary, blue/green)
• Familiarity with mTLS, service-to-service communication, and zero-trust networking principles
• Experience troubleshooting service mesh-related issues, including latency, connectivity, and policy misconfigurations
• Development experience in one or more of the following programming languages:
  • Python (preferred)
  • Bash, Go, Java, C++, or Rust

In addition, experience with:

• Distributed data storage at scale (Ceph, Rook)
• NoSQL at scale (MongoDB clusters, sharded Redis, Cassandra)
• Data Aggregation technologies. (ElasticSearch, Kafka)
• Scaling and running traditional RDBMS (PostgreSQL, MySQL) with High Availability
• Observability and incident management: Prometheus, Grafana, alerting/on-call workflows, post-incident review.
• Container orchestration (Kubernetes, Rancher) at scale
• Release Engineering (Package management and distribution at scale)
• S/W Performance analysis and load testing (QA or SDET experience: a plus)

Software Engineer II- Data Platform

Hybrid: San Diego

Do you want to join a team of talented engineers dedicated to enhancing the PlayStation experience for millions of users and creators? As part of our Data Platform team, you will play a key role in building cutting-edge systems that power PlayStation’s data-driven features, delivering impactful insights and enabling seamless, interactive experiences!

The Software Engineers within our Platform Engineering Group design, build, document, and deploy large-scale data platforms that optimize performance and scalability across PlayStation systems. You will work on solving complex data challenges, improving platform capabilities, and ensuring high availability, all while supporting a dynamic, interactive environment for PlayStation users.

We’re looking for someone who is passionate about building innovative data platforms that scale to millions of users, collaborating across Engineering and Product teams in an agile environment. You’ll have the opportunity to work with the latest technologies, tools, and processes, helping to drive forward our technical and architectural goals.

Responsibilities

• Contribute to the development, testing, and deployment of high-quality code across the data platform

• Collaborate actively with global teams across multiple time zones, ensuring alignment and continuity

• Support platform capabilities for data cataloging, analytics, and ETL/ELT pipelines

• Assist in identifying performance bottlenecks and implementing improvements with guidance from senior engineers

• Build and support services that handle structured, semi-structured, and unstructured data (audio, video, text, images)

• Participate in on-call rotation for production support and help troubleshoot critical issues

• Contribute to platform documentation and maintain clarity for internal consumers

• Present work in team demos and represent engineering contributions in internal discussions

• Follow best practices in testing, monitoring, and deployment to ensure platform reliability

• Continuously learn and apply new tools, patterns, and technologies in the data platform space

Requirements

• 3+ years of experience developing scalable, distributed systems

• Proficient in at least one language: Scala, Java, or Python

• Experience building or maintaining cloud-based applications/services (AWS preferred, GCP is a plus)

• Exposure to event streaming platforms such as Kafka, Kinesis, or SQS and Data Ingestion

• Familiarity with distributed data processing frameworks like Apache Spark or Apache Flink

• Understanding of CI/CD pipelines, monitoring, and observability best practices

• Comfortable working in a globally distributed team

• Willingness to participate in production on-call rotations

Nice to Have

• Exposure to Databricks or similar unified data platforms

• Experience working with unstructured data formats such as images, video, or audio

• Familiarity with data cataloging, lineage, and metadata tools

• Experience supporting platform-scale features such as ETL frameworks, analytics services, or data quality checks

• Knowledge of GCP or multi-cloud environments

• Curiosity and enthusiasm for tackling scalability and reliability challenges

Your First 90 Days

• 30 Days: Ramp up on our tech stack, development tools, and team workflows. Deliver your first minor enhancement or bug fix and sync with global peers.

• 60 Days: Begin contributing to core platform features. Participate in code/design reviews and propose improvements.

• 90 Days: Own medium-scope features end-to-end. Engage in roadmap discussions and build strong cross-functional relationships with global stakeholders.

Sr. Director Data Platform Engineering & Operations

San Diego, CA

The Sr. Director Data Platform Engineering & Operations is a critical leadership role at SIE, responsible for driving innovation and scalability across the company’s data and AI platform ecosystem. This role oversees platforms including Data Infrastructure (Streaming, Ingestion, Warehouse, and Data Ocean), Experimentation and Audience Platforms, and Governance & Data Observability tools.

In this role, you will ensure SIE’s platforms process massive volumes of data, delivering insights that enhance Player, Creator, Publisher, and Enterprise experiences. By enabling data-driven decisions at scale, you will drive the future of personalized gaming, efficient operations, and enterprise productivity through advanced AI and machine learning technologies.

As a strategic leader, you will define and execute the vision for SIE’s data and AI platform ecosystem, ensuring scalable solutions that support key business objectives across gaming, content creation, and enterprise operations. Reporting to the VP of Data & AI, you will lead global teams of engineers and experts to build platforms that democratize data and transform decision-making across the company.  Priority consideration will be given to candidates with proven experience in a previous or current Sr. Director level role. 

This highly cross-functional role works closely with senior leadership in engineering, product, and business to align the platform ecosystem with the organization’s strategic goals.

Key Responsibilities:

Strategic Leadership:

• Define the long-term vision for SIE’s Data and AI Platform ecosystem, aligning with business goals and driving value across Player, Creator, Publisher, and Enterprise touchpoints.
• Lead the development of platforms that process large-scale, real-time data from millions of users, delivering insights to enhance gaming experiences, content creation, and enterprise productivity.
• Build scalable platforms for personalized player experiences, content creation tools, and enterprise efficiency, optimizing performance and cost-effectiveness.

Platform Development & Operations:

• Provide thought leadership in the design, architecture, and execution of the platform ecosystem, ensuring innovation and seamless integration with SIE’s global gaming services and enterprise operations.
• Ensure platforms are optimized for performance, scalability, and reliability, processing billions of data points daily across Player, Creator, Publisher, and Enterprise activities.
• Champion operational excellence by driving continuous improvements in platform cost efficiency, performance, and security to support SIE’s global user base.

Cross-functional Collaboration:

• Collaborate with senior leaders to deliver data and AI solutions that drive value across gaming, content creation, and enterprise operations.
• Work with teams to ensure data platforms improve engagement, content creation, monetization, and efficiency.
• Ensure compliance with privacy, security, and regulatory requirements while supporting scalable data operations.

Innovation & Efficiency:

• Lead efforts to optimize platform performance, reduce costs, and improve data accessibility across gaming and enterprise operations.
• Implement innovative solutions to scale data operations and maximize value from Player, Creator, Publisher, and Enterprise data.
• Drive AI/ML adoption to enhance gaming experiences, content discovery, operational efficiency, and enterprise workflows.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.

Experience:

Technical Expertise:

• 15+ years of experience in data engineering, platform engineering, or related fields, with deep expertise in designing and building distributed data systems and large-scale data warehouses.
• Proven track record of architecting platforms capable of processing petabytes of data and supporting the real-time ingestion and processing of billions of data points daily across gaming and enterprise domains.
• Extensive experience in building and scaling cloud-native architectures (AWS, Azure, GCP) for data platforms, with a strong focus on high availability, fault tolerance, and cost-efficiency.
• Demonstrated success in growing and evolving data platforms to meet the needs of a rapidly scaling business, ensuring data-driven decisions are made at all levels of the organization.
• Extensive experience with Kafka for data streaming and real-time data ingestion.
• Strong hands-on knowledge of Databricks and Snowflake for scalable data engineering, analytics, and cloud data warehousing.
• Proven experience making buy vs. build decisions, assessing in-house development versus integrating third-party platforms based on cost, scalability, and business needs.
• Expertise with Data Governance tools such as Alation and Collibra for managing data catalogs, compliance, and data quality.
• Knowledge and experience with Data Observability tools to monitor data pipelines and ensure data accuracy, reliability, and transparency.
• Experience with experimentation platforms such as Optimizely, Statsig, and LaunchDarkly, with a focus on A/B testing and feature management.
• Expertise in AI/ML platforms like AWS SageMaker and Databricks MLflow for machine learning model development, deployment, and MLOps practices.

Leadership & Strategic Skills:

• Proven leadership (in a prior Sr. Director level role strongly preferred) building and leading high-performing global engineering teams, balancing short-term execution with long-term strategic growth.
• Strong strategic mindset, translating business objectives into scalable technical solutions that deliver value across the organization.
• Excellent communication and collaboration skills, driving impactful solutions across engineering, product, and business teams.

#LI-GD1

Sr. Director Data Platform Engineering & Operations

San Mateo, CA

The Sr. Director Data Platform Engineering & Operations is a critical leadership role at SIE, responsible for driving innovation and scalability across the company’s data and AI platform ecosystem. This role oversees platforms including Data Infrastructure (Streaming, Ingestion, Warehouse, and Data Ocean), Experimentation and Audience Platforms, and Governance & Data Observability tools.

In this role, you will ensure SIE’s platforms process massive volumes of data, delivering insights that enhance Player, Creator, Publisher, and Enterprise experiences. By enabling data-driven decisions at scale, you will drive the future of personalized gaming, efficient operations, and enterprise productivity through advanced AI and machine learning technologies.

As a strategic leader, you will define and execute the vision for SIE’s data and AI platform ecosystem, ensuring scalable solutions that support key business objectives across gaming, content creation, and enterprise operations. Reporting to the VP of Data & AI, you will lead global teams of engineers and experts to build platforms that democratize data and transform decision-making across the company.  Priority consideration will be given to candidates with proven experience in a previous or current Sr. Director level role. 

This highly cross-functional role works closely with senior leadership in engineering, product, and business to align the platform ecosystem with the organization’s strategic goals.

Key Responsibilities:

Strategic Leadership:

• Define the long-term vision for SIE’s Data and AI Platform ecosystem, aligning with business goals and driving value across Player, Creator, Publisher, and Enterprise touchpoints.
• Lead the development of platforms that process large-scale, real-time data from millions of users, delivering insights to enhance gaming experiences, content creation, and enterprise productivity.
• Build scalable platforms for personalized player experiences, content creation tools, and enterprise efficiency, optimizing performance and cost-effectiveness.

Platform Development & Operations:

• Provide thought leadership in the design, architecture, and execution of the platform ecosystem, ensuring innovation and seamless integration with SIE’s global gaming services and enterprise operations.
• Ensure platforms are optimized for performance, scalability, and reliability, processing billions of data points daily across Player, Creator, Publisher, and Enterprise activities.
• Champion operational excellence by driving continuous improvements in platform cost efficiency, performance, and security to support SIE’s global user base.

Cross-functional Collaboration:

• Collaborate with senior leaders to deliver data and AI solutions that drive value across gaming, content creation, and enterprise operations.
• Work with teams to ensure data platforms improve engagement, content creation, monetization, and efficiency.
• Ensure compliance with privacy, security, and regulatory requirements while supporting scalable data operations.

Innovation & Efficiency:

• Lead efforts to optimize platform performance, reduce costs, and improve data accessibility across gaming and enterprise operations.
• Implement innovative solutions to scale data operations and maximize value from Player, Creator, Publisher, and Enterprise data.
• Drive AI/ML adoption to enhance gaming experiences, content discovery, operational efficiency, and enterprise workflows.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.

Experience:

Technical Expertise:

• 15+ years of experience in data engineering, platform engineering, or related fields, with deep expertise in designing and building distributed data systems and large-scale data warehouses.
• Proven track record of architecting platforms capable of processing petabytes of data and supporting the real-time ingestion and processing of billions of data points daily across gaming and enterprise domains.
• Extensive experience in building and scaling cloud-native architectures (AWS, Azure, GCP) for data platforms, with a strong focus on high availability, fault tolerance, and cost-efficiency.
• Demonstrated success in growing and evolving data platforms to meet the needs of a rapidly scaling business, ensuring data-driven decisions are made at all levels of the organization.
• Extensive experience with Kafka for data streaming and real-time data ingestion.
• Strong hands-on knowledge of Databricks and Snowflake for scalable data engineering, analytics, and cloud data warehousing.
• Proven experience making buy vs. build decisions, assessing in-house development versus integrating third-party platforms based on cost, scalability, and business needs.
• Expertise with Data Governance tools such as Alation and Collibra for managing data catalogs, compliance, and data quality.
• Knowledge and experience with Data Observability tools to monitor data pipelines and ensure data accuracy, reliability, and transparency.
• Experience with experimentation platforms such as Optimizely, Statsig, and LaunchDarkly, with a focus on A/B testing and feature management.
• Expertise in AI/ML platforms like AWS SageMaker and Databricks MLflow for machine learning model development, deployment, and MLOps practices.

Leadership & Strategic Skills:

• Proven leadership in building and leading high-performing global engineering teams, balancing short-term execution with long-term strategic growth.
• Strong strategic mindset, translating business objectives into scalable technical solutions that deliver value across the organization.
• Excellent communication and collaboration skills, driving impactful solutions across engineering, product, and business teams.

#LI-GD1

Location: This position can work onsite or hybrid from San Francisco Bay Area. 
Travel: Up to 15%, domestic or international.
Job ID: 1558

The Role: 

We are looking for a Senior Staff Software Architect to lead the design and evolution of our next-generation Network Monitoring Platform. You’ll be part of a cross-functional team whose mission is to lead IonQ on its journey to build the world’s best quantum computers to solve the world’s most complex problems.

In this role, you will own the end-to-end architecture of a high-scale, data-intensive network monitoring platform — from data modeling and ingestion pipelines to cloud-native deployment. You are a hands-on technical leader who writes production code, drives critical architectural decisions, and has deep experience building systems that monitor large fleets of devices at scale. The ideal candidate brings strong Go and/or Rust expertise and thrives at the intersection of systems engineering and distributed data platforms.

Responsibilities:

• Architect cloud-native ingestion and processing pipelines capable of handling telemetry from hundreds of thousands of devices, leveraging streaming platforms and time-series storage at scale.
• Define and own the platform’s unified YANG-based data model, spanning device configuration state, operational telemetry, and topology relationships across heterogeneous network environments, serving as the authoritative schema from which ingestion pipelines, storage structures, and API contracts are derived.
• Write and review production-quality code in Go and/or Rust for performance-critical platform components including collectors, aggregators, and real-time processing engines.
• Define and enforce data partitioning, sharding, and retention strategies to sustain high-volume device event streams while meeting latency and durability requirements.
• Lead the design of cloud-native deployment patterns (Kubernetes, service mesh, autoscaling) to ensure the platform operates reliably at global scale across multi-cloud environments.
• Evaluate and drive adoption of purpose-fit technologies — time-series databases, graph stores, stream processors — with a focus on operational scalability and long-term maintainability.
• Partner with Product and Engineering to translate monitoring requirements into platform capabilities, ensuring architectural decisions are reflected in roadmap milestones and engineering specifications.
• Mentor senior engineers through architecture reviews, coding standards, and hands-on technical guidance, raising the bar for platform quality and engineering practices.

Requirements:

• 12+ years of experience in software or platform architecture, with at least 5 years leading architecture for large-scale, data-intensive distributed systems.
• Substantial experience building and operating device monitoring systems at scale — with direct exposure to telemetry ingestion pipelines, fleet management, and real-time alerting across large device populations.
• Proven hands-on coding ability; production experience with Go and/or Rust is strongly preferred for this role.
• Deep expertise in data modeling for high-volume systems, including schema design, time-series storage (InfluxDB/Timescale), event streaming (Kafka/Kinesis), and graph data models for network topology.
• Solid understanding of cloud-native application design — including containerization, Kubernetes orchestration, microservices, and cloud infrastructure across AWS, GCP, or Azure.

Preferred Qualifications:

• Proficiency in both Go and Rust, with a track record of shipping production services in at least one of these languages.
• Background in network management platforms or network equipment vendors (e.g., Juniper, Cisco, Nokia), with familiarity with telemetry protocols such as gNMI, NETCONF, or SNMP.
• Experience designing multi-tenant SaaS platforms where data isolation, schema evolution, and scalability across customer tiers are first-class concerns.
• Contributions to open-source infrastructure or observability projects, or published technical writing on distributed systems and data engineering topics.
• Familiarity with techniques relevant to high-throughput data collection.

The approximate base salary range for this position is $216,136 - $282,978. The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site.

About the Opportunity

As a Full Stack Engineer on our growing EV team, you will be responsible for developing our backend services while maintaining a high security posture within our growing infrastructure. Working directly with other engineers, you will develop new services/products that EnergyHub is building in the connected EV space, engaging drivers and OEMs on new initiatives that help the proliferation of EVs worldwide.

This role is a full-stack role, giving candidates the opportunity to build services, APIs, and front-end user interfaces for drivers and clients to interact with.

Main Responsibilities: What you’ll do

• Develop and maintain the backend services of our EV platform, ensuring that all components work together seamlessly.
• Integrate with third-party APIs to implement external services into our platform, enhancing OEM partners and other external solutions.
• Manage ingestion and storage of multivariate data sets that can scale to millions of users/connected vehicles.
• Build and enhance data lakes to provide additional data analysis for different services and consumers.
• Develop services to interact with connected vehicles at scale.
• Develop and maintain front end “web apps” to provide UIs for our various different products and services.
• Ensure proper security and data protection policies, procedures, and monitoring are in place.
• Design, develop, and maintain third-party accessible APIs for data ingest/egress within the platform.
• Write and maintain technical documentation.
• Drive and embody the “Dev Owns Quality” culture.
• Other duties as assigned

Required Skills and Experience: What you need

• 3+ years professional software engineering experience, preferably in a small to medium-sized team, with a proven exceptional ability as a FullStack engineer or similar role.
• Strong comfortability with Kotlin/Java and familiarity with web services and RESTful APIs using Spring.
• Expertise in API ingestion and data normalization processes.
• Experience with front end languages, such as React/Typescript.
• Experience with containerized systems.
• Knowledge of modern security best practices, authentication/authorization frameworks, and system/API hardening.

Preferred Skills and Experience: Nice-to-haves

• Experience with AWS or other cloud providers.
• Experience with GraphQL.
• Typical development tools and processes (automated testing, continuous integration/deployment, monitoring systems)
• Experience with Event-Driven systems and data processing pipelines (Kafka, SNS/SQS, Kinesis, S3, etc)

About the Team

This role will lead either our Gateway or Agent team, depending on your experience and interests.

Both teams sit on the critical path of every ngrok connection and are central to our reliability, performance, and customer trust.

• Gateway Team: Owns the core infrastructure that handles and shapes all traffic flowing through ngrok—routing, security enforcement, rate limiting, and observability. Every request passes through this layer, and its correctness and performance are foundational to everything we do.
• Agent Team: Builds the software that runs on the customer side of every connection. The Agent is what developers install and trust to securely expose their systems to the internet, and it must perform reliably across unpredictable, real-world environments.

What You’ll Actually Do

Lead a team that ships and learns quickly

You’ll manage and coach a team of 5–7 engineers. The goal isn’t just shipping—it’s building a team that can consistently make good decisions, move fast, and improve over time.

Treat management like a systems problem (with humans in the loop)

You’ll design how your team works: planning, execution, retros, feedback loops, and decision-making. You’ll tune the system, not just react to it.

Stay close enough to the code to matter

You won’t be coding every day, but you’ll get into the details when needed—reviewing designs, debugging tricky issues, and helping the team make better technical tradeoffs.

Drive product and technical direction together

This isn’t “just execution.” You’ll help shape what the team builds—balancing product work, technical investments, and experiments that actually teach you something.

Build a team people want to be on

You’ll coach junior and senior engineers, create psychological safety, and raise the bar on both performance and collaboration.

Connect the team to the bigger picture

You’ll make sure your team understands how their work ties to ngrok’s product, customers, and business. Context isn’t optional here. You’ll work closely with senior leadership and functional orgs to shape and meaningfully impact company culture and roadmap.

You Might Be a Great Fit If…

• You’ve spent 5+ years as a software engineer and comfortable in Go, Rust, Java, or C/C++
• You have 4+ years of engineering leadership experience
• You think in systems—whether that’s distributed systems or team dynamics
• You’re comfortable zooming in (code, debugging) and zooming out (strategy, org design)
• You’ve built things from scratch—teams, processes, or products
• You communicate clearly, directly, and without unnecessary fluff

Bonus points if you’ve:

• Contributed to open source, blogs, or conferences
• Worked in developer tools or product-led growth environments
• Built teams in ambiguous, early-stage contexts

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

Engineering Manager: $225,000 – $275,000

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

The Role: Architecting the Connected Enterprise

At Boomi, we aim to make the world a better place by connecting everyone to everything, anywhere. We are seeking a Solutions Engineer with a focus on iPaaS and Hybrid Integration.

In this role, you will serve as a technical advisor during the sales cycle, demonstrating how Boomi’s platform solves complex business challenges by connecting disparate systems, applications, and data sources. You will be responsible for proving the technical value of Boomi’s connectivity—ensuring that data flows seamlessly and securely across the modern enterprise.

Key Responsibilities

• Technical Validation & Demonstration: Execute high-impact demonstrations that showcase Boomi’s capability to handle App Integration, EDI, and Managed File Transfer (MFT) workflows.

• Real-Time Connectivity: Support the design of messaging architectures using Event Streams to enable event-driven business processes for prospects.

• Proof of Concept (PoC) Leadership: Lead the technical validation phase for integration opportunities, configuring and proving the operability of Boomi within the prospect’s specific environment.

• Enterprise Ecosystem Support: Assist in building connectivity solutions for complex landscapes, including Hybrid-Cloud and Multi-Cloud environments, ensuring interoperability between core systems of record and cloud applications.

• Consultative Discovery: Partner with Account Executives to identify technical pain points and landscape requirements via discovery calls and technical workshops.

• Collaborative Sales Support: Work with Senior Solutions Engineers and "Win Teams" to provide technical depth for RFI/RFP responses and detailed product specifications.

Professional Qualifications

• iPaaS Proficiency: Practical experience with iPaaS technologies and integration patterns (synchronous/asynchronous, hybrid cloud).

• Messaging & Events: Foundational knowledge of event-driven architectures (EDA) and tools such as Event Streams, Solace, Kafka, or RabbitMQ.

• B2B & File Standards: Practical knowledge of EDI standards and secure Managed File Transfer (MFT) protocols.

• Analytical Problem Solving: A structured approach to designing integration workflows and troubleshooting complex mapping or transformation logic.

• Technical Communication: Ability to translate technical connectivity concepts into clear business value for both technical users and business stakeholders.

Preferred Skills & Technical Credentials

• Cloud & APIM Platforms: Proficiency in AWS, Azure, or GCP ecosystems and enterprise API suites (e.g., MuleSoft, Apigee, Lavender, or Kong).

• Professional Certifications: Industry credentials in Cloud Architecture (AWS/Azure/GCP), Information Security (CISSP/CCSP), or Enterprise Frameworks (TOGAF).

• Governance & Emerging Tech: Knowledge of API Lifecycle Management and the security/orchestration of AI-driven APIs and LLMs.

 Aren’t sure if you’re a match? We know that impostor syndrome and the confidence gap can prevent us from meeting spectacular candidates — so don’t hesitate to apply; you could be the perfect fit!

Why You'll Love This Role

Cribl Stream provides users a new level of observability, intelligence and control over their real-time data. Some may say our greatest accomplishment thus far is having our software deployed in some of the largest organizations in the world processing 100s of TB to PB of IT & Security data. Others may attribute that to our massive amount of goat gifs that we’ve harvested from the Internet. It’s difficult to know for sure.

As a Senior Integrations Engineer at Cribl, you will build the software components that enable us to collect and send data between closed and open source systems. This role is equal parts research and development. If you enjoy diving deep into new technologies, understanding how they work, collaborating with other talented engineers, and slinging code to bind them together, this role might be the right one for you. In this role, you will join a team of skilled engineers committed to shipping the highest quality software and ensuring our customers’ satisfaction. This is a fully remote role and Cribl is a remote first company. Our culture embraces the diversity of team members spread all across the globe.

As An Active Member Of Our Team You Will...

• Develop features that integrate Cribl’s data stream processing engine with data systems such as Splunk, Elastic Search, Kafka, AWS S3, Azure Blob Storage, Google Cloud Storage.
• Rapidly develop subject matter expertise in a diverse set of 3rd  party technologies by provisioning, building, and configuring all systems and/or accounts necessary to facilitate the R&D process. 
• Design, develop, test, and maintain clear, concise, and robust code that produces the desired outcomes for our customers.
• Develop expert level knowledge of software development using NodeJS and TypeScript (and sometimes even C++!), and be willing to become exposed to and work with Node internals from time to time.
• Ensure product features are working as expected by creating robust test plans paired with comprehensive automated tests and writing integration tests.
• Collaborate with other engineers, product managers, UX designers, and business teams to translate feature specifications into implementable code.
• Work closely with peers on your team by providing feedback on feature design and code reviews.
• Contribute and be involved in a weekly 24/7 support on call rotation.
• Initiative and drive to help the greater team, even if it's outside your job description.
• Evangelize our innovation and engage our users by contributing to internal and external community, documentation, and blogs related to the products that you help develop.
• This position will require stand-by, on-call, or off-hours duties.

If You've Got It - We Want It

• Demonstrated experience integrating with third party applications, libraries, and APIs.
• Strong knowledge of data structures, algorithms, operating systems, and distributed systems.
• Experience with using and developing REST APIs.
• Experience interacting with and building on cloud based platforms such as AWS, Azure, GCP, etc. 
• Experience with authorization and authentication standards such as Oauth2, OpenID Connect, LDAP and SAML is a plus.
• Comfort with significant research and discovery before coding begins.
• Demonstrated ability to build robust systems in the face of uncertainty.
• Experience with Agile processes and rapid iterative development.
• Strong sense of ownership with focus on high quality and high performing deliverables.
• Excellent communication skills, both verbal and written; ability to explain complex technical topics to both internal and external stakeholders with ease and in remote/distributed environments.
• Insatiable curiosity – one of our core values is a tenet to being a great engineer at Cribl. Be willing and eager to learn new technologies and products built by other companies.

#LI-EL1
#LI-Remote

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.

Position Overview 

Zeta Global is seeking a Lead Software Engineer to join the Opportunity Insights team. This role is for a highly experienced engineer who operates at system and platform scope — someone who can define architecture, drive technical direction, and deliver scalable, data-intensive systems that power marketing intelligence products. 

You will lead the design and evolution of distributed systems running on AWS and Kubernetes (EKS), enabling large-scale data processing and real-time insights across billions of data points. This role requires deep expertise in distributed systems, strong architectural judgment, and the ability to influence engineering standards across teams. 

What You’ll Do 

• Define and evolve the architecture of scalable, distributed systems deployed on AWS. 

• Design and operate microservices and data-intensive workloads running in Kubernetes (EKS). 

• Lead technical design for systems that process and analyze large-scale datasets (high-volume, high-velocity, and high-variety data). 

• Establish patterns and best practices for building resilient, observable, and performant services. 

• Partner with Product, Data Science, and Engineering leaders to translate business strategy into long-term technical roadmaps. 

• Drive cross-team technical initiatives and influence architecture decisions beyond your immediate team. 

• Optimize data storage, retrieval, and processing strategies across relational and NoSQL systems. 

• Mentor engineers, raise the bar on design and code quality, and lead through technical example. 

• Take end-to-end ownership of critical platform components, ensuring long-term scalability and maintainability. 

Requirements 

• 8+ years of experience building and scaling production-grade distributed systems. 

• Strong foundation in computer science, distributed systems, and large-scale system design. 

• Proven experience architecting systems that operate on large datasets (event streams, batch + real-time pipelines, high-throughput services). 

• Deep hands-on experience with AWS, including EKS, EC2, S3, RDS, IAM, Lambda, CloudWatch, and infrastructure-as-code practices. 

• Strong expertise in Kubernetes (EKS) and containerized microservices architectures. 

• Experience with streaming and data infrastructure technologies such as Kafka, Elasticsearch, and NoSQL databases (e.g., Aerospike). 

• Strong proficiency in Java, Python, Ruby, or similar object-oriented languages. 

• Experience designing APIs and service communication layers (REST, gRPC, Thrift). 

• Demonstrated ability to lead technical design reviews and influence engineering direction. 

• Excellent problem-solving skills and ability to operate independently in a fast-paced environment. 

• Experience leveraging AI-powered development tools to improve engineering productivity. 

Preferred Qualifications 

• BS or MS in Computer Science or related field. 

• Experience building platforms that support ML or advanced analytics workloads. 

• Experience modernizing or evolving legacy systems into scalable cloud-native architectures. 

• Track record of leading high-impact, cross-team engineering initiatives. 

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 $190,000 - $205,000, 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 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.

Role Overview

We are seeking a Principal DevOps Engineer to serve as a transformative force in how ZetaGlobal builds, deploys, and operates software at scale. This is not a maintenance role. You will be a DevOps disruptor: someone who challenges the status quo, reimagines deployment pipelines, and empowers hundreds of developers across multiple teams to ship code to production safely, multiple times per day, concurrently.

Your prime responsibility is to enable true continuous integration and continuous deployment (CI/CD) directly to production using canary releases, blue/green deployments, incremental rollout pipelines, feature flag-driven releases, and any other proven strategy that delivers speed with safety. You will architect and operate these systems within a regulated, globally compliant environment spanning GDPR, CCPA, and SOC 2 requirements.

In addition, you will serve as a Site Reliability Engineer (SRE) leader, ensuring safe operations, incident readiness, and platform stability as we continue to scale. You will influence both DevOps/SRE practices and software architecture decisions, simplifying and streamlining operational management across the organization.

Key Responsibilities

CI/CD & Deployment Excellence

• Design, build, and operate production-grade CI/CD pipelines enabling multiple developers on multiple teams to deploy concurrently to production, multiple times daily, with zero-downtime guarantees.
• Implement and optimize advanced deployment strategies including canary releases, blue/green deployments, rolling updates, incremental rollouts, and feature flag-gated releases via Statsig.
• Build self-service deployment tooling that empowers developers to own their release process while enforcing safety guardrails, automated rollback triggers, and automate compliance gates.
• Establish deployment observability with real-time canary analysis, automated health scoring, and progressive delivery metrics integrated with Grafana, Prometheus, and Honeycomb.
• Champion CI/CD workflows using GitLab CI/CD, Helm charts, and Terraform to ensure infrastructure and application deployments are version-controlled, auditable, and reproducible.

Platform Reliability & SRE

• Define and enforce SLOs/SLIs/SLAs across services, establishing error budgets that balance velocity with reliability.
• Lead incident response processes, including on-call rotations, runbook development, blameless postmortems, and incident command structure.
• Design and implement robust observability stacks leveraging Grafana, Prometheus, Loki, and Honeycomb for metrics, logging, tracing, and alerting at scale.
• Proactively identify and eliminate reliability risks through chaos engineering, load testing, capacity planning, and failure mode analysis.
• Reduce operational toil through automation, self-healing infrastructure patterns, and intelligent alerting to minimize mean time to detection (MTTD) and recovery (MTTR).

Infrastructure & Architecture

• Manage and optimize AWS infrastructure spanning EC2, SQS, DynamoDB, and related services with Infrastructure as Code (Terraform) best practices.
• Design and operate Kafka-based event streaming infrastructure for high-throughput, low-latency data pipelines supporting real-time marketing and analytics workloads.
• Ensure robust networking across the platform, including DNS management, service mesh configuration, load balancing, TCP/IP optimization, routing policies, and VPC architecture.
• Manage containerization strategy using Docker, ensuring efficient image builds, vulnerability scanning, registry management, and runtime security.
• Support data infrastructure operations across Snowflake, MySQL, and other database platforms, collaborating with data engineering teams on reliability and performance.

Compliance, Security & Governance

• Embed compliance controls directly into CI/CD pipelines, ensuring automated enforcement of GDPR, CCPA, and SOC 2 requirements at every stage of the software delivery lifecycle.
• Implement audit trails, change management controls, and deployment approval workflows required by regulatory frameworks in the MarTech and AdTech domains.
• Collaborate with Security and Legal teams to ensure infrastructure and deployment processes meet global compliance obligations across all operating regions.
• Maintain awareness of evolving privacy regulations (ePrivacy, state-level US laws, international data residency requirements) and proactively adapt infrastructure accordingly.

Technical Leadership & Influence

• Serve as a technical leader and DevOps disruptor, challenging legacy processes and introducing modern practices that dramatically improve developer velocity and operational safety.
• Influence software architecture decisions to simplify and streamline operational management, advocating for patterns that are deployment-friendly, observable, and resilient by design.
• Clearly communicate complex technical strategies to engineering leadership, product stakeholders, and cross-functional teams to build alignment and drive adoption.
• Develop reference architectures, internal standards, and golden path templates that codify best practices and accelerate onboarding of new services and teams.
• Participate in on-call rotations and lead by example in incident response, demonstrating the operational discipline expected across the engineering organization.

Required Qualifications

• 10+ years of progressive experience in DevOps, SRE, Platform Engineering, or Infrastructure Engineering roles, with demonstrated impact at staff or principal level.
• Expert-level Kubernetes knowledge, including cluster administration, Helm chart authoring, custom controllers/operators, network policies, RBAC, and multi-cluster management on AWS EKS.
• Deep expertise in CI/CD pipeline architecture and advanced deployment strategies (canary, blue/green, progressive delivery, feature flag integration) at scale.
• Strong proficiency with Infrastructure as Code using Terraform, including module design, state management, and multi-environment orchestration.
• Expert knowledge of Docker containerization, including multi-stage builds, security hardening, image optimization, and container runtime management.
• Production experience with Apache Kafka, including cluster management, topic design, consumer group strategies, and operational monitoring for high-throughput streaming workloads.
• Strong networking fundamentals: DNS (Route 53, internal DNS), TCP/IP, routing, API Gateway, load balancing (ALB/NLB), service mesh, VPC peering, transit gateways, and network troubleshooting.
• Extensive AWS experience spanning EKS, EC2, SQS, DynamoDB, IAM, VPC, CloudWatch, and related services in production environments.
• Hands-on experience with observability platforms: Grafana (dashboards, alerting), Prometheus (metrics, PromQL), Loki (log aggregation), and Honeycomb (distributed tracing, BubbleUp analysis).
• Working familiarity with multiple language stacks including Node.js, React, Python, Java, and Ruby, sufficient to understand build systems, dependency management, and runtime characteristics.
• Experience operating within regulated environments, with practical knowledge of GDPR, CCPA, SOC 2, and compliance automation in MarTech or AdTech domains.
• Proven ability to influence engineering culture, drive adoption of new practices, and communicate complex technical strategies clearly to both technical and non-technical stakeholders.
• Demonstrated experience with GitLab CI/CD pipelines, including advanced pipeline features such as parent-child pipelines, dynamic environments, and security scanning integration.

Preferred Qualifications

• AWS certifications: Solutions Architect Professional, DevOps Engineer Professional, or Security Specialty.
• Experience with Statsig or similar feature flag and experimentation platforms for progressive delivery and A/B testing in production.
• Background in chaos engineering tools and practices (Gremlin, Litmus, Chaos Monkey) for proactive resilience validation.
• Experience building internal developer platforms (IDPs) or platform-as-a-product organizations.
• Familiarity with FinOps practices and cloud cost optimization strategies.
• Contributions to open-source DevOps/SRE tools or active participation in the broader infrastructure community.
• Experience with service mesh technologies (Istio, Linkerd) for advanced traffic management and security.

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 $180,000 - $210,000, 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.

Role Overview

Zeta Global is seeking a Lead Software Engineer to build and scale healthcare-focused applications and data systems that power audience intelligence, activation, measurement, and reporting across both HCP and DTC workflows.

This is a hands-on technical leadership role operating at the intersection of distributed systems, data engineering, and healthcare domain constraints. You will design and deliver systems that integrate identity, audience data, and campaign performance while meeting strict requirements for privacy, compliance, and reliability.

The ideal candidate brings strong system design depth, experience building data-intensive platforms, and the ability to lead through architecture and execution in regulated environments.

What You’ll Build

• Full-stack applications supporting HCP and patient (DTC) audience discovery, segmentation, and activation
  • Scalable data pipelines for ingestion, normalization, and enrichment of healthcare datasets
  • Identity resolution and data linkage services across fragmented data sources
  • Reporting, attribution, and measurement systems connecting campaigns to outcomes
  • APIs and services enabling downstream activation, analytics, and partner integrations

Key Responsibilities

• Lead architecture and hands-on development of distributed systems supporting healthcare data workflows
  • Design and implement scalable data pipelines (batch and streaming) for large-scale datasets
  • Build and maintain APIs and services with strong SLAs, observability, and fault tolerance
  • Implement identity resolution logic including matching, deduplication, and graph-based linkage
  • Ensure high data quality through validation, reconciliation, and monitoring frameworks
  • Design systems with strong security controls, including encryption, access control, and auditability
  • Apply privacy-by-design principles across all systems handling PHI/PII
  • Partner with Product and Data teams to translate healthcare requirements into scalable architectures
  • Drive engineering best practices across testing, CI/CD, code quality, and operational excellence
  • Mentor engineers and act as a technical leader across the team

Engineering Expectations

• Strong experience designing distributed systems (microservices, event-driven architectures)
  • Deep understanding of data modeling, storage systems (OLTP, OLAP), and data processing frameworks
  • Experience with streaming and batch processing (e.g., Kafka, Spark, Flink, or similar)
  • Proficiency in backend development (Python, Java, or Ruby) and API design (REST/gRPC)
  • Experience building modern front-end applications (React or similar)
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code
  • Familiarity with containerization and orchestration (Docker, Kubernetes)
  • Experience implementing observability (logging, metrics, tracing) and reliability patterns
  • Strong understanding of performance optimization and scalability tradeoffs

Healthcare & Domain Expectations

• Experience working with HCP data (provider identity, targeting, segmentation)
  • Experience with patient / DTC data workflows and privacy-aware systems
  • Understanding of healthcare data ecosystems (claims, provider, or audience datasets)
  • Familiarity with identity graphs and data onboarding patterns
  • Experience building reporting or attribution systems tied to business outcomes
  • Strong grasp of HIPAA, PHI/PII, and regulated data handling requirements

Qualifications

• 8–10 years of software engineering experience with increasing technical ownership
  • Proven track record of building and scaling data-intensive or distributed systems
  • Experience working in regulated environments (healthcare strongly preferred)
  • Strong system design and architecture skills
  • Ability to lead technically while remaining hands-on in implementation
  • Strong collaboration skills across engineering, product, and data teams

Preferred

• Experience with healthcare data providers or identity ecosystems
  • Background in AdTech, MarTech, or audience/data platforms
  • Experience with privacy-enhancing technologies (tokenization, clean rooms)
  • Exposure to ML/AI-driven data products or analytics 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 $200,000 - $215,000, 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-TS1

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 Developer Productivity team supports the software development ecosystem used by thousands of engineers to develop and maintain MongoDB Server and developer tools in a complex matrix of multi-platform self-hosted products and multi-cloud hosted environments. Our tools and services, as well as our domain expertise, ensure that MongoDB developers can ship high quality products quickly, confidently, and securely. 

As a senior staff engineer you’ll be responsible for helping shape the future of our developer ecosystem and ensure we take advantage of the rapidly-evolving engineering landscape. You will partner with engineering leadership across the company to identify system-wide opportunities to accelerate developer velocity and efficiency, enhancing smart data collection and integrating analytics assistants that produce actionable insights every step of the way. 

Our team champions a strong culture of inclusivity, diversity, and collaboration. If you like working on a strongly collaborative team that loves to experiment, have a passion for open source, and generally thrive on being a champion for software development best practices  and data-informed decision making, this is the role for you.

Candidate Profile

• Minimum 10 years of experience in the developer productivity domain in large engineering environments, including building, and operationalizing complex, reliable systems
• Strong experience supporting one or more of C++, Java, Go, Python, Rust, Node, Typescript
• Strong understanding of DevOps culture and tooling
• Extensive experience with CI/CD pipelines, common deployment models and infrastructure, and various techniques used to safely roll changes into production environments
• Hands-on experience implementing metrics and observability tools and best practices, as well as data processing pipeline technologies such as Iceberg, Trino, Kafka
• Proven track record of driving technical execution and vision for organizations with 50+ team members
• Skilled in advocating for and representing the needs of a 1000+ customer base to internal platform teams

Responsibilities

• Drive strong operational excellence standards for internal software development tools and services, helping define golden paths that optimize the efficiency and velocity of our engineering organization
• Design software development systems to ensure best practices and champion industry standards
• Advise Engineering partners on technical implications of systems design with regards to complexity, testability, and maintainability
• Lead development and project management of some of the largest projects within MongoDB to improve developer productivity and software quality, particularly around data-driven insights and optimizations
• Provide technical mentorship and leadership to the Developer Productivity organization, promoting best practices and fostering team growth

Bonus points if the candidate has experience with:

• Strong systems fundamentals, including testing and monitoring multi-threaded systems
• Performance profiling of complex systems
• Leveraging best of breed AI tools & technologies in the developer productivity domain along with the necessary telemetry and analytics to measure effectiveness in a rapidly changing environment
• Experience supporting the development of database internals or core components for data processing systems

Success Measures

• In the first month, you will have understood the high level architecture of at least one of the systems within the MongoDB developer ecosystem and fixed a few bugs
• In three months, you will have a broad understanding of the overall developer ecosystem and be taking on code review responsibilities
• In six months, you will have taken on code and design review responsibilities for key systems within the software development ecosystem
• In twelve months, you will be leading the development of MongoDB’s next generation developer ecosystem, helping to mentor engineers on the team, and using your experience to drive the long-term DevProd-wide technical roadmap

About MongoDB

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

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

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

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

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

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

Req ID: 1273376291

This is a remote position. We are looking for candidates in the United States time zones.

What is Grafana Cloud? 

Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack.

The Databases team owns and operates the telemetry databases that are Mimir for metrics, Loki for logs, Tempo for traces, and Pyroscope for profiles. Our databases are offered as a hosted service in Grafana Cloud, and additionally as on-premise solutions with Grafana Enterprise Metrics, Grafana Enterprise Logs, and Grafana Enterprise Traces. They are multi-tenant distributed systems implemented in Go and operating at scale on Kubernetes across all major Cloud service providers (AWS, GCP, Azure).

As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. 

Mimir Squad

The Mimir squad has 3 sub-squads, Ingest, Storage, and Query, which together maintain the Mimir OSS project, and additionally own and operate Grafana Cloud Metrics across 3 major cloud providers. Engineers on the team focus on optimizing the efficiency and resilience of processing, storing, and querying metrics at large volumes. These services operate at a large scale and performance is key to keeping the offering competitive and running smoothly.

A Mimir engineer has various work streams. They are likely engaged in a larger project with another engineer, and they are also incorporating some performance and reliability improvements discovered through operating the system in production. They are also responsible for writing and reviewing PRs and design documents from other engineers in the squad, shepherding automated release rollouts, and participating in the on-call rotation for their systems.

What will you be doing? 

• Take an active role in influencing our roadmap and your own career objectives 
• Work with your team to deliver new features, then use the results to iterate and improve.
• Help your team drive projects from initial idea all the way to operations once it is in the hands of customers
• Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope
• Build, operate, and maintain critical systems, owning the reliability, performance, and availability
• Be a part of your team’s follow-the-sun on-call rotations and take ownership of the services you’re running
• Support other team members, participate in design discussions and collaborate with the team
• Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system

As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.

We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.

You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

What Makes You a Great Fit:

You are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for building intuitive products that fit customers’ needs. You have good time management skills, which you leverage to work on the right things at the right time.

• Pragmatism: You have a bias towards action, taking direction and building a plan of action to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively
• Collaboration and communication: The smallest unit we have is a squad. You’ll be working with your teammates in a fully remote setup. Good communication and time management skills are a must
• AI: some experience using LLMs for day to day coding tasks and understanding a codebase.

• Experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar then that translates well
• Some experience with delivering projects as a member of a larger team. Your experience includes gathering requirements and brainstorming ideas, all the way to shipping features to the customer’s hands.
• Some experience with developing software that runs in the Cloud or some experience with systems engineering
• Some experience with being on-call and following the DevOps model
• Experience writing clean, robust, and performant software that is easily maintained by others
• Some familiarity with observability systems, know when to use metrics, logs, traces, to debug a problem.

Bonus Points For:

• Experience working with Kubernetes
• Experience working with queue systems, e.g. the Kafka protocol
• Been a user of Grafana and Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools on hobby/homelab projects)
• Exposure to microservices architecture and distributed systems, or a desire to learn
• Familiarity with the concept of infrastructure as code

Compensation & Rewards:

In the United States, the Base compensation range for this role is USD 127,651 - USD 153,180.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

*Compensation ranges are country-specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.

ABOUT THE TEAM

We build robots that find other robots and knock them out of the sky. At a time when air superiority can no longer be taken for granted, the Air Defense (AD) Team provides mission critical capabilities to warfighters. From detection to tracking, identification, deterrence, and defeat, our family of networked sensors and effectors enables our customers to rapidly close the kill chain against a broad range of Unmanned Aerial System (UAS) threats. Working across product, engineering, sales, logistics, operations, and mission success, the Air Defense team develops, tests, deploys, and sustains the Anduril Air Defense Family of Systems (FoS) in challenging operational environments worldwide.

ABOUT THE JOB

We are seeking a Senior Mission Data Platform Engineer to design, build, and operate the foundational data infrastructure that empowers our analytics and engineering teams. In this role, you will be the architect of a scalable, reliable, and easy-to-use platform that enables analytics engineers, data scientists, and software engineers to build high-impact analyses and data-driven applications.

You will combine deep expertise in cloud infrastructure, DevOps, and modern data systems to create a cohesive ecosystem. Applying Site Reliability Engineering (SRE) principles will be key to ensuring the performance and availability of these critical systems, which operate in both commercial cloud and classified environments. You will collaborate closely with platform users to understand their needs and remove friction, ensuring our data capabilities are a force multiplier for the entire organization. Your ability to deploy and maintain these mission-critical solutions will be essential, with occasional travel required for real-world implementation and support.

Key Responsibilities:

• Lead the design, development, and maintenance of a scalable, self-service data platform that serves as the foundation for analytics and data applications across the organization.
• Architect and manage the underlying cloud infrastructure using Infrastructure-as-Code (Terraform), containerization (Docker, Kubernetes), and CI/CD best practices to support the data platform.
• Partner with and empower platform users—including analytics engineers, data scientists, and software engineers—by providing robust tooling, clear documentation, and a seamless developer experience.
• Implement SRE principles to ensure the data platform is highly available, performant, and observable, establishing SLOs, automating operational tasks, and leading incident response for the platform.
• Evolve the platform's architecture by evaluating and integrating new technologies from the modern data stack to meet the ever-changing needs of the business.

REQUIRED QUALIFICATIONS

• 6+ years of experience in a combination of data platform engineering, cloud infrastructure, DevOps, or SRE roles.
• Active U.S. Department of Defense (DOD) Secret Clearance or higher and experience operating in air-gapped, classified, and/or other highly constrained network environments.
• Hands-on experience building and maintaining platforms with key components of the modern data stack, such as data lakehouse technologies (e.g., Apache Iceberg), query engines (e.g., Trino/Presto, AWS Athena), transformation tools (e.g., dbt), and real-time stream & batch processing platforms (e.g., Apache Kafka, Apache Spark).
• Extensive experience with Infrastructure-as-Code (IaC), particularly Terraform, for managing complex cloud environments (e.g., AWS, Azure, GCP).
• Strong proficiency in DevOps and software deployment practices, including containerization and orchestration (e.g., Docker, Kubernetes, Helm), GitOps & CI/CD tooling (e.g., ArgoCD, CircleCI), and observability/monitoring/APM platforms (e.g., Datadog, Grafana).
• Exceptional problem-solving and critical-thinking skills, with the ability to architect robust technical solutions for ambiguous and dynamic platform requirements.
• Excellent written and verbal communication skills, especially when communicating with a technical audience; an affection for documentation and a user-centric mindset.
• Procedural fluency in writing, debugging, profiling, testing, and maintaining performant Python and SQL code.
• Experience with data pipeline orchestration tooling (e.g., Flyte, Airflow, Dagster).
• Experience writing code in another language (e.g., Go, Java, Scala, JavaScript/TypeScript).

PREFERRED QUALIFICATIONS

• Ability to comprehend and appropriately modify software written in a systems or lower-level language such as C/C++, Rust, Zig, etc.
• Experience with setting up and managing infrastructure to support analytical workloads on-premises or in resource-constrained environments.
• Experience working with specialized data formats (e.g., MCAP, HDF5) common in domains like robotics.
• Experience with the Nix (dependency management & system configuration) ecosystem.
• Strong Linux fundamentals and troubleshooting skills.
• Prior defense, aerospace, or intelligence domain experience.
• Deep intellectual interest in the intersection of infrastructure, analytics, and the physical hardware world, motivated by our mission.
• Exposure to the technical, programmatic, and operational challenges of developing and deploying advanced systems across various command echelons.

Position Overview

We are seeking a skilled DevOps / Cloud Engineer to join the team responsible for managing core network platform - OSS. In this role, you will design, deploy, and operate cloud and hybrid infrastructure, build and maintain CI/CD pipelines, and take ownership of running third-party vendor software in our environment. You will bridge the gap between infrastructure and application operations, ensuring our systems are scalable, secure, highly available, and cost-efficient. 

Key Responsibilities:

• Design, deploy, and manage AWS cloud and hybrid infrastructure solutions using Infrastructure as Code (IaC) tools
• Deploy, operate, and maintain cloud environments across multi-account and multi-region AWS architectures
• Deploy, configure, and operate vendor-supplied software within our cloud/hybrid environment, serving as the operational owner for these applications
• Coordinate with vendors on installation, upgrades, patching, and configuration changes, translating vendor requirements into infrastructure and deployment solutions
• Ensure vendor applications meet our availability, performance, and security standards through own monitoring and incident management processes
• Own the security, availability, and reliability of infrastructure, applying best practices for IAM, encryption, and vulnerability management
• Build, maintain, and improve CI/CD pipelines that automate testing, security scanning, and deployment workflows
• Automate infrastructure provisioning, configuration management, and operational tasks to eliminate manual toil
• Implement and maintain monitoring, alerting, and observability tooling to enable proactive issue detection and resolution
• Analyze cloud performance metrics and resource utilization to continuously optimize system efficiency and control costs
• Partner closely with internal and vendor teams to align on cloud infrastructure deployment and integration practices - bridging code and underlying infrastructure
• Provide technical guidance and mentoring to teammates, driving engineering excellence 

Qualifications 

Education:

Bachelor’s degree in Computer Science, Engineering, or a related field — or equivalent professional experience.

Experience:

A minimum of 3+ years of hands-on experience in cloud infrastructure, DevOps, or site reliability engineering roles.

• Public Cloud Expertise (AWS, Azure or GCP): Proven hands-on experience with public cloud services including compute, networking, databases, K8s, IAM, monitoring
• Infrastructure as Code: Proficiency in Terraform or AWS CDK for building and managing infrastructure at scale
• CI/CD: Demonstrated experience designing and maintaining CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins, ArgoCD)
• Containerization & Orchestration: Solid experience with Docker and K8s for application deployment and management
• Hybrid & Multi-Environment Operations: Experience operating workloads across cloud and on-premises or hybrid environments
• Third-Party Software Operations: Experience deploying and managing vendor-provided applications in cloud environments, including coordination of upgrades, patching, and configuration
• Databases: Hands-on experience with SQL (e.g., PostgreSQL, MySQL/RDS) and NoSQL (e.g., DynamoDB, Redis/Elasticache) databases
• Messaging & Queuing: Familiarity with message-driven systems such as SQS, RabbitMQ or Kafka
• Scripting & Automation: Proficiency in at least one scripting language (Python, Bash, or similar) for automation tasks 

Preferred Qualifications: 

• AWS or Azure/GCP certification (e.g., AWS Certified DevOps Engineer, Solutions Architect)
• Skills in remote debugging and troubleshooting distributed systems
• Familiarity with security and compliance frameworks (e.g., SOC 2, ISO 27001)
• Experience with observability platforms (e.g. Prometheus/Grafana, ELK)
• English proficiency at B2 level or above; able to collaborate effectively with global, cross-functional teams
• Experience in software development is a plus
• Background in telecom, satellite, or other high-availability, mission-critical environments is a plus 

Soft Skills:

• Strong problem-solving mindset with a bias toward automation and operational efficiency
• Collaborative and communicative — comfortable working in a globally distributed team
• Ownership mentality - take responsibility for end-to-end reliability of systems under your care
• Adaptable and self-directed, with the ability to manage competing priorities in a fast-paced environment
• Meticulous attention to detail in documentation, change management, and operational procedures 

Technology Stack:

• Cloud - AWS (EC2, EKS, RDS, DynamoDB, Elasticache, S3, Route53, VPC networking, IAM, CloudWatch)
• IaC - Terraform, AWS CDK
• Containers & Orchestration - Docker, K8s
• CI/CD - GitHub Actions, GitLab CI, Jenkins, ArgoCD (or similar)
• Messaging - SQS, Kafka
• Scripting - Python, Bash
• Databases - PostgreSQL, MySQL, DynamoDB, Redis
• Monitoring & Observability - Prometheus, Grafana, CloudWatch
• Version Control - Git 

Physical Requirements 

• Ability to work in a standard office or remote home-office environment and use a computer for extended periods
• Ability to participate in occasional after-hours incident response actions

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

What We’re Looking For

Lightning AI is seeking an Observability Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will own and evolve observability systems across large-scale, GPU-enabled bare-metal infrastructure. You’ll operate at the intersection of infrastructure, data, and product, building platforms for metrics, logs, traces, and alerting that power both internal operations and customer-facing visibility.

You will play a key role in productizing observability, enabling scalable, multi-tenant monitoring experiences while keeping pace with rapid infrastructure buildouts. This includes designing telemetry pipelines, improving signal quality, and delivering actionable insights that ensure reliability and transparency across our platform.

We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

Observability Platform & Productization

• Own and evolve a scalable observability platform spanning metrics, logs, traces, and events
• Drive the productization of observability capabilities for both internal teams and external customers
• Design multi-tenant observability systems with scoped access, RBAC, and customer-facing visibility
• Continuously improve observability systems to keep pace with rapid infrastructure buildouts

Telemetry & Data Pipelines

• Design and operate telemetry pipelines ingesting data from GPUs, CPUs, networking (Ethernet & InfiniBand), containers, APIs, and BMC/Redfish
• Build systems to correlate signals across infrastructure layers to enable faster debugging and root cause analysis
• Implement streaming and real-time data pipelines using tools such as Kafka, OTEL, Promtail, or similar

Alerting, Reliability & Insights

• Design and implement noise-resistant alerting systems to improve signal quality and reduce operational load
• Create dashboards and alerting for InfraOps, Engineering, and Customer Success teams
• Build automated insights and enable proactive detection, forecasting, and system health visibility at scale

Systems & Infrastructure Engineering

• Contribute to broader infrastructure engineering projects beyond observability
• Partner with infrastructure and platform teams to embed observability into core systems and workflows
• Support large-scale, distributed systems across compute, networking, and storage environments

Cross-Functional Collaboration

• Work closely with customer-facing teams to deliver external observability experiences
• Collaborate with engineering, operations, and support teams to improve system transparency and reliability
• Help define best practices for observability across the organization

What You’ll Need

Required Qualifications

• 5+ years of experience in infrastructure engineering, SRE, or observability-focused roles
• Strong experience with monitoring systems such as Prometheus, Grafana, ELK, or VictoriaMetrics
• Experience building and operating observability platforms at scale
• Proficiency in Python, Go, or bash for automation and data integration
• Familiarity with containerized environments and Kubernetes observability
• Experience with streaming telemetry pipelines (Kafka, OTEL, Promtail, or equivalent)
• Experience with multi-tenant monitoring architectures
• Strong written and verbal communication skills

Ideal Experience

• Experience with GPU observability, particularly NVIDIA DCGM
• Experience monitoring large-scale GPU or HPC clusters
• Familiarity with InfiniBand fabric observability
• Experience building customer-facing or productized infrastructure systems
• Experience with correlation engines, RCA workflows, or predictive alerting systems
• Broad exposure to infrastructure domains including networking, storage, and provisioning

Compensation

ABOUT THE COMPANY:

Clari + Salesloft are building the next era of enterprise revenue — one where teams make confident decisions powered by AI and real signals. By combining our scale, insights, and AI innovation, we’re building the industry’s first Predictive Revenue System, enabling humans and AI to work together to make smarter decisions and drive consistent growth.

With thousands of customers using our platforms every day, we have an unmatched view into how revenue is actually won — the Revenue Context that reveals what happens, when, and with what outcome. This gives us a unique opportunity to transform an entire category and set a new benchmark for how modern revenue teams operate.

Join us to help transform how companies around the world run revenue — and build the platform that will guide leading revenue teams into the future.

THE OPPORTUNITY:

At Clari + Salesloft, our Principal Engineer will be pivotal to our company’s success. You will be a key member of our fast-growing and high-performing Product Engineering org. We are looking for experienced Principal Engineers who can help realize Clari + Salesloft vision with their passion and proven track record of excellence and innovation. We are looking for engineers who are passionate about their work and who thrive working on leading-edge cloud-based technologies to develop ground-breaking AI-driven enterprise-grade applications.

On a day-to-day basis, you will be responsible to -

• Shape future-proof interfaces that are easy to build against and meet the requirements of client-facing teams
• Brainstorm with Product Managers, Designers and Engineers, and other cross-functional partners to conceptualize and build new features for our growing user base
• Produce high-quality results by leading large cross-functional projects that have a significant impact on the business
• Debug production issues across services and multiple levels of the stack, and uplevel the observability and reliability of the overall system
• Own architecture decisions across multiple teams, drive long term technical strategy, and raise the bar for engineering excellence company-wide
• Mentor Staff and Senior engineers 

In addition to working with amazing colleagues who exemplify our ‘team over self’ core value, you will also have the opportunity to work on impactful and revolutionary software that is changing the way sellers sell. You will have an opportunity to make a difference. 

WHAT WE’RE LOOKING FOR:

We are seeking Principal Software Engineers who would be Working on cutting-edge technologies alongside a highly motivated and skilled team eager to learn and grow together

If you’re looking for an opportunity to learn more, do more, and become more, then becoming a Principal Software Engineer is the career path for you!

THE TEAM:

The Engineering Team at Clari + Salesloft is deeply committed to building an enterprise-grade platform that serves as the backbone for our customer's most critical business process - Revenue. With an unrelenting commitment to innovation, our mission is to craft the ultimate revenue intelligence platform for our customers. Rooted in Agile principles, we foster a culture of adaptability and efficiency across all our teams. If you're energized by the prospect of contributing to a dynamic environment that emphasizes collaboration, continuous improvement, and leveraging the forefront of technology to address customer needs, we would love to meet you.

THE SKILL SET:

• 12+ years of experience in building distributed systems or platform infrastructure designed for high-scale, data-intensive workloads
• Expert-level proficiency in Java or a similar object-oriented language and familiarity with infrastructure tooling (Airflow, Kubernetes, Ray, Terraform), service frameworks (FastAPI, gRPC), and observability platforms (Prometheus, Grafana, DataDog, Splunk)
• Deep experience with cloud infrastructure, ideally AWS or GCP, including Kubernetes clusters (GKE/EKS), serverless architectures, and managed services (e.g., Lambda, Cloud Run, ECS)
• Architected solutions requiring distributed data infrastructure: message queues (Kafka, Kinesis), caching systems (Redis, Memcached), database optimization, and building resilient, fault-tolerant architectures
• Expertise with SQL (postgres) / NoSQL (MongoDB) and data warehouse modeling; capable of optimizing complex data queries, joins, aggregations, and transformations
• Solid improvements of platform monitoring and optimizations, including identifying performance bottlenecks, latency optimization, cost management, and scaling high-throughput API services efficiently

At Clari + Salesloft, we are committed to creating an inclusive and supportive workplace where everyone belongs and can thrive. We focus on culture add, not culture fit, and believe our teams are made stronger by the unique perspectives, experiences, and identities each person brings.

We are proud to be an Equal Opportunity Employer and provide employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, pregnancy, or any other characteristic protected by law.

If you’re excited about this role even though your experience may not perfectly match every requirement, we encourage you to apply. We are actively hiring across multiple geographies and would love to welcome passionate, curious, and mission-driven individuals to our growing team. Explore our open roles and consider joining us!

#LI-Hybrid

Please note that all official communication regarding job opportunities at Clari + Salesloft will come from an @clari.com  or @ salesloft.com email address. If you receive messages on LinkedIn or other job platforms claiming to be from Clari + Salesloft, they may not be legitimate. To verify the authenticity of any job-related communication, please visit our official Careers Page.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, notetaking, or summarizing responses. These tools assist our recruitment team but do not replace human judgment — all hiring decisions are made by people. If you would like more information about how your data is processed or prefer to opt out of any AI-assisted tools, please let your recruiter know. Opting out will not impact your experience or consideration.

About the Team

Alerts are an important part of the Verkada ecosystem and our customers rely on alert notifications to stay on top of live events such as persons of interest entering buildings, if a door was forced open after hours or simply knowing when to let the delivery person in. The Alerts and Operations team is responsible for building and maintaining the end-to-end systems for Events, Alerts and Notifications, processing upwards of 500 million events weekly from over a million devices worldwide.

Our systems process real-time events from Verkada's global device fleet, delivering intelligent, actionable alerts through multiple channels including email, SMS, push notifications, and webhooks.

In 2025, we launched Operations, a suite of features designed for customers monitoring critical infrastructure with dedicated security teams, starting with enhanced collaboration tools and expanding integration capabilities.

We're actively exploring how AI can help customers use our products more efficiently and respond more effectively to events, while continuing to improve the core reliability and intelligence of our alerting systems.

What You'll Do

• Build and maintain scalable backend systems that process hundreds of millions of events, alerts and notifications weekly from security devices deployed around the world. 
• Contribute to building backend infrastructure integrated with AI capabilities 
• Own features end-to-end, from design through implementation, testing, deployment, and monitoring in production.
• Develop and maintain Verkada’s public API interface that our customers use for various integrations. 
• Collaborate with product managers, frontend engineers, and teams across the organization to deliver high-quality products.

What You Bring

• Degree in Computer Science or similar field. 
• 3+ years of professional experience as a Back End Engineer, ideally at a rapidly growing start up or innovative company.
• Strong programming skills in Go, Python, Java, or C++. Willingness to learn Go if not already proficient.
• Experience with relational databases (Postgres, MySQL) or non-relational databases (DynamoDB, MongoDB).
• Demonstrated ability to ship features and take ownership of backend systems. 
• Experience with message queues (Kafka, SQS) or search technologies (OpenSearch, Elasticsearch) is a plus.
• Experience working in cloud environments (AWS, GCP, Azure) and container orchestration platforms (Kubernetes, Docker) is a plus.
• Must be willing and able to work onsite five days per week.

US Employee Benefits

Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to:

• Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans
• Nationwide medical, vision and dental coverage
• Health Saving Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving options
• Expanded mental health support
• Paid parental leave policy & fertility benefits
• Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time
• Professional development stipend
• Fertility Stipend
• Wellness/fitness benefits
• Healthy lunches provided daily
• Commuter benefits

Additional Information

• We do sponsor and take over sponsorship of employment visas for this role. If we make you an offer, we will make every reasonable effort to get you a visa.

About the Role

What You'll Do

About the Role

About the Role

We are looking for experienced back-end engineers to join the Verkada Core Command team. We are scaling out the Auth, Users, Roles and Audit capabilities of Verkada's core products to service the largest organizations in the world. 

What You'll Do

• Design scalable control planes and data primitives for all Verkada products
• Build scalable distributed systems capable of handling high traffic from hundreds of thousands of devices deployed around the world.
• Spin up new services in a microservices architecture

What You Bring

• Degree in Computer Science, Computer Engineering or Software Engineering
• 4+ years of relevant industry experience
• Experience in building and scaling access systems to millions of users around the world
• Strong written and verbal communication skills
• Mastery of at least one of Python or Go
• Experience with relational databases (Postgres, MySQL)
• Experience with key-value storage systems (Redis, Memcached)
• Experience with distributed queueing (Kafka) and caching (Redis, Memcached)
• Experience with cloud service providers (AWS, GCP, Azure)
• Experience with React
• Experience with GRPC and API specifications
• Must be willing and able to work onsite five days per week

US Employee Benefits

Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to:

• Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans
• Nationwide medical, vision and dental coverage
• Health Saving Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving options
• Expanded mental health support
• Paid parental leave policy & fertility benefits
• Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time
• Professional development stipend
• Fertility Stipend
• Wellness/fitness benefits
• Healthy lunches provided daily
• Commuter benefits

Additional Information

• We do sponsor and take over sponsorship of employment visas for this role. If we make you an offer, we will make every reasonable effort to get you a visa.

About the Role

We're looking for a backend software engineer with strong data analysis skills to join our camera fleet management team. You'll build the data infrastructure and analytical tools that power our safe release operations across a million+ camera devices. This role combines traditional backend engineering with data pipeline development, log analysis, and metrics-driven insights.

Camera firmware releases include critical updates like new AI models, and understanding their impact requires sophisticated data analysis at scale. You'll develop the pipelines, dashboards, and analytical tools that help us detect anomalies, measure release health, and ensure every deployment is successful. Your work will directly support data-driven decision making for releases that impact our customers and our reputation.

Every release decision we make affects hundreds of thousands of cameras in the field. The data pipelines you build and the insights you surface directly determine whether we can release confidently or need to halt a problematic rollout. You'll be the engineering force behind our data-driven release culture.

You'll work closely with the Systems Software Engineer leading the team to build robust data infrastructure—from ingestion pipelines processing high-volume logs to SQL queries surfacing critical insights to real-time monitoring dashboards.

What You'll Do

• Build data pipelines: Design and implement data workflows using technologies like Kafka, Firehose, or Spark to process release metrics and device telemetry at scale
• Develop analytical tools: Create Python-based analysis tools using pandas and SQL to identify release issues, detect anomalies, and measure fleet health
• High-volume log analysis: Build systems to ingest, process, and analyze logs from millions of devices using technologies like OpenSearch, text clustering, and AI-based techniques
• Create monitoring infrastructure: Develop Grafana dashboards and alerts that surface critical metrics and anomalies in real-time
• Support release operations: Provide data-driven insights during releases, helping the team make informed decisions about rollout speed and risk
• Design test infrastructure: Build test bench setups and CI pipelines that validate releases before they reach production
• Query and optimize: Write efficient SQL queries against timeseries databases to extract insights from large-scale device data

Must-Haves

• BS/MS in Computer Science (or similar degree).
• 3+ years experience of industry experience in distributed software engineering.
• Strong Python skills: Proficiency in Python for data analysis, particularly with libraries like pandas
• SQL expertise: Experience writing complex SQL queries and queries for time-series analysis
• Backend engineering fundamentals: Solid software engineering skills—this is a backend role that happens to involve data, not a pure data engineering position
• Data pipeline experience: Familiarity with pipeline technologies like Kafka, Firehose, or Spark
• Log analysis at scale: Experience with high-volume log analysis technologies such as OpenSearch, text clustering, or AI-based log analysis techniques
• Timeseries databases: Experience working with timeseries databases and temporal data
• Metrics & observability: Hands-on experience with Grafana or similar monitoring tools
• Anomaly detection: Understanding of anomaly detection techniques and their practical application
• Coding-based analysis: Preference for solving problems through code rather than manual analysis
• Must be willing and able to work onsite five days per week.

Nice-to-Have

• Experience with Go
• Background in statistics or experimental design
• Familiarity with A/B testing and statistical inference
• Experience with CI/CD systems
• Knowledge of test automation frameworks
• Understanding of distributed systems

US Employee Benefits

Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to:

• Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans
• Nationwide medical, vision and dental coverage
• Health Saving Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving options
• Expanded mental health support
• Paid parental leave policy & fertility benefits
• Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time
• Professional development stipend
• Fertility Stipend
• Wellness/fitness benefits
• Healthy lunches provided daily
• Commuter benefits

Additional Information

• We do sponsor and take over sponsorship of employment visas for this role. If we make you an offer, we will make every reasonable effort to get you a visa.

About the Team

Alerts are an important part of the Verkada ecosystem and our customers rely on alert notifications to stay on top of live events such as persons of interest entering buildings, if a door was forced open after hours or simply knowing when to let the delivery person in. The Alerts and Operations team is responsible for building and maintaining the end-to-end systems for Events, Alerts and Notifications, processing upwards of 500 million events weekly from over a million devices worldwide.

Our systems process real-time events from Verkada's global device fleet, delivering intelligent, actionable alerts through multiple channels including email, SMS, push notifications, and webhooks.

In 2025, we launched Operations, a suite of features designed for customers monitoring critical infrastructure with dedicated security teams, starting with enhanced collaboration tools and expanding integration capabilities.

We're actively exploring how AI can help customers use our products more efficiently and respond more effectively to events, while continuing to improve the core reliability and intelligence of our alerting systems.

What You'll Do

• Build and maintain scalable backend systems that process hundreds of millions of events, alerts and notifications weekly from security devices deployed around the world.
• Lead technical design discussions and make architectural decisions for new features across our event processing, alert rule management, and notification delivery services.
• Own complex systems end-to-end, from initial design through implementation, testing, deployment, monitoring, and ongoing optimization.
• Drive the development of backend infrastructure integrated with AI capabilities.
• Mentor and support junior engineers through code reviews, technical guidance, and knowledge sharing.
• Contribute to Verkada's public API that customers use for integrations with their existing security and operations systems.
• Collaborate with product managers, engineering leaders, and teams across the organization to define and deliver high-impact products.

What You Bring

• Degree in Computer Science or similar field. 
• 5+ years of professional experience as a Back End Engineer with a track record of building and operating large-scale distributed systems, ideally at a rapidly growing start up or innovative company.
• Deep expertise in Go, Python, Java, or C++ with strong software engineering fundamentals.
• Proven experience designing and working with both relational (Postgres, MySQL) and non-relational databases (DynamoDB, MongoDB, OpenSearch, Elasticsearch).
• Track record of leading technical initiatives, making architectural decisions, and delivering complex systems from concept to production.
• Experience with event-driven architectures and message streaming platforms (Kafka, SQS).
• Experience working in cloud environments (AWS, GCP, Azure) and container orchestration platforms (Kubernetes, Docker).
• Demonstrated ability to mentor engineers and elevate team technical standards.
• Must be willing and able to work onsite five days per week.

US Employee Benefits

Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to:

• Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans
• Nationwide medical, vision and dental coverage
• Health Saving Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving options
• Expanded mental health support
• Paid parental leave policy & fertility benefits
• Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time
• Professional development stipend
• Fertility Stipend
• Wellness/fitness benefits
• Healthy lunches provided daily
• Commuter benefits

Additional Information

• We do sponsor and take over sponsorship of employment visas for this role. If we make you an offer, we will make every reasonable effort to get you a visa.

This position does not offer visa sponsorship now or in the future.

iCapital is seeking an exceptional Data Engineer to help scale the data foundations that power the business. This individual will design, build, and optimize the data pipelines and infrastructure that enable data to be a strategic asset across the organization. This role is highly collaborative and will partner with the Product, Engineering, Analytics teams and business stakeholders to quickly understand evolving challenges and deliver scalable, maintainable, and high‑quality solutions.

Data sits at the core of iCapital’s operations. The firm relies on clean, reliable, well‑structured data to drive decision‑making, enhance client experiences, and support a rapidly growing product suite. This individual will be responsible for moving and transforming data and developing a deep understanding of the business context behind it and help teams act on insights.

Responsibilities

• Develop and automate large scale, high-performance data platform pipelines and infrastructure to drive iCapital business growth and enable data-driven decision making.
• Design and develop reusable components and frameworks for ingestion, cleansing, and data quality.
• Streamline the ingestion of raw data from various sources into our Data Lake and Data Warehouse.
• Design data models for optimal storage and retrieval that represent the tangible business domains across iCapital’s ecosystem.
• Coordinate closely with the Operations, Sales, and Product Development teams daily to push iCapital’s FinTech strategy and improve the overall profitability of the business.

Qualifications

• 6-10 years of professional experience in a data engineering or data-driven software engineering role
• Exceptional Python and SQL skills
• Extensive experience with orchestration frameworks (Prefect, Airflow, Dagster, etc.)
• Deep understanding of OLAP (Snowflake, Databricks) and OLTP (PostgreSQL, MongoDB) databases and ELT frameworks (dbt, dlthub)
• Experience developing and deploying code to Cloud environments (AWS, GCP, Azure)
• Possess a strong grasp of object-oriented and functional programming and an ability to write easy-to-scale, high-quality code
• Experience leveraging stream processing frameworks (Kafka, Flink, Spark)
• Knowledge of infrastructure-as-code frameworks (terraform or cloud formation)
• Detail-oriented and able to multitask and work in a fast-paced environment
• Able to work independently while also being a strong team player
• Excellent written and verbal communication
• Passionate about learning and mastering cutting-edge technologies
• Professional experience with JVM based languages such as Scala, Java, and Kotlin is preferred
• Knowledge of financial markets and financial instruments is preferred

Benefits

The base salary range for this role is $100,000 to $135,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

About the Role

We are seeking a highly skilled and experienced Principal Engineer to join our Engineering team. As a Principal Engineer, you will be responsible for leading the design, development, and implementation of our brokerage systems. You will work closely with our engineering team and other stakeholders to create scalable, low latency, and highly available trading systems. 

What You’ll Do

• Responsible for the technical architecture, design and delivery of high performance, low-latency brokerage systems using Java/Golang
• Assesses the health and performance of software applications and databases and provides software and technology solutions
• Design, develop, and maintain REST APIs and microservices.
• Work with the Broker Dealer Operations teams to support and enhance the trading and backend system for multiple asset classes like Equities, Options, Mutual Funds etc
• Define specifications and develops components, modifies existing software stack, prepare test data, and prepares functional specifications
• Analyze Service and application performance using various programming
• languages, tools and techniques
• Develop and maintain automated testing frameworks and CI/CD pipelines
• Provide technical leadership and mentorship to the engineering team
• Provide guidance to non-technical staff in using software and hardware systems most effectively and efficiently
• Support applications with an understanding of system integration, test planning, scripting, and troubleshooting
  
  

What You’ll Need

• Bachelor’s degree in Computer Science or related field or equivalent experience
• At least 10 years of experience in Software Engineering with expertise in Java
• Must understand Test Driven Development and how to write effective unit/integration tests
• Strong understanding of CI/CD and automated testing frameworks
• Proficient in developing and maintaining robust REST APIs and implementing sophisticated event-driven architectures with Kafka and Kubernetes
• Background in financial technology or capital markets is required
• Proficient in No SQL, SQL and Stored Procedures such as in Postgres, MySQL
• Experience with Unix, Linux Operating Systems
• Knowledge of Jira, Git, Jenkins
• Experience with a 24x7, highly-available architecture
• Strong experience with Amazon Web Services
• Experience with Scrum and other Agile processes
• Strong communication skills
• Strong analytical and problem-solving skills
  
  Applicants must be authorized to work for any employer in the U.S. DriveWealth is unable to sponsor an employment Visa at this time.

Special Knowledge (Nice to Have, But Not Rqequired)

• Experience with Amazon Web Services
• Experience with Linux and writing scripts to extract and transform data
• Multiple years experience in fin-tech specifically Post Trade, Payment or SaaS

Staff Software Engineer, Data Platform

About Ladder

We saw a problem within the life insurance industry: getting covered took too long, involved too much paperwork, and required too many in-person meetings with sales agents. Having lost his father at a young age, our CEO, Jamie, was determined to make it easier for people to get the coverage they needed to provide for their families. So, we got to work. We developed a method of real-time underwriting leveraging AI and, in doing so, reduced the months-long process of applying for life insurance to minutes. Our digital experience is quick (instant decisions!), loved by users (check out our Trustpilot or Google reviews) and prolific ($74 billion+ in coverage provided).

About the role  

We are looking for a powerhouse Staff Software Engineer with battle-tested experience building ETL pipelines at massive scale. You will take ownership of our toughest backend and data plumbing challenges, bridging our transactional systems (Datomic) with our analytical and streaming infrastructure (BigQuery, Kafka, Flink, DBT) to architect resilient, elegant, and high-volume data pipelines. If you dream in immutable data structures and love using functional programming to untangle architectural knots, we need you. 

The ideal candidate brings demonstrated experience in software engineering, leadership maturity and a deep understanding of  engineering infrastructure.  This is a remote role based in one of the 22 States Ladder is currently hiring in - AZ, CA, CO, CT, FL, GA, KS, MA, MD, MN, NC, NH, NJ, NV, NY, OH, OR, PA, TX, VA, WA, WI.  Please note, Ladder is not currently sponsoring or transferring OPT or H1-B visa's.

How You'll Make a Difference

As a senior technical leader on the team, you won't just be writing code, you'll be shaping our entire data strategy. You will:

• Architect and Build: Design, deploy, and scale robust data pipelines that reliably move and transform data between Datomic, Kafka, and BigQuery.
• Tame the Chaos: Build elegant, fault-tolerant ETL systems leveraging frameworks like DBT to ingest, sanitize, and normalize messy, unstructured data from dozens of third-party APIs and legacy vendors.
• Master the Stream: Evolve our event-driven architecture, optimizing streaming performance (Kafka/BEAM) to support real-time machine learning models
• Drive Technical Excellence: Act as a force multiplier for the engineering team. You'll set standards for backend architecture in Clojure, mentor peers, and make high-stakes technical decisions that scale with our rapid growth.
• Bridge the Gap: Partner closely with Data Science, Product and Business Development teams to ensure our data infrastructure proactively serves the evolving needs of the business.

Who You Are

• A seasoned technical leader: You bring 8+ years of rigorous software or data engineering experience to the table, backed by a strong academic foundation (BS or MS in Computer Science or a related field). You have a proven track record operating at a Staff or Principal level, where you don't just write code - you define technical strategy and mentor teams.
• A Clojure authority: You have deep, production-grade experience natively architecting complex backend systems in Clojure and the JVM. Functional programming and immutable data structures aren't just concepts to you; they are your preferred tools for building highly reliable software.
• A medallion architect: You have 4+ battle-tested years designing high-volume ETL/ELT pipelines at massive scale. You are an expert at structuring data lakes through Raw/Bronze, Cleansed/Silver, and Curated/Gold layers, and you rely on advanced dbt modeling to ensure pristine data quality.
• A modern data stack master: You have extensive, hands-on experience operating cloud data warehouses (specifically BigQuery), streaming infrastructure (Kafka), and processing frameworks (Apache Beam, Flink, or Spark). Wrangling messy, unstructured third-party API data into clean, ready-to-query models is second nature to you.
• An autonomous systems thinker: You thrive in ambiguity and deeply understand the harsh realities of distributed systems. You don't just patch bugs; you design elegant, event-driven architectures that prevent entire classes of problems from happening in the first place.

Technologies We Use

• Backend: Clojure, JVM
• Data: Datomic, BigQuery, BEAM, Sigma, SQL
• Infrastructure: Kafka, Docker, Kubernetes, Packer, Terraform, GCP, GraphQL
• Frontend: Typescript, JavaScript, React

What we Offer 

Ladder is highly collaborative and fun. To support you in your role, we offer fantastic perks and benefits that reflect our mission of care and support, including:

• Excellent medical, dental, and vision coverage | We offer competitive healthcare,dental and vision plans for you and your family.
• Flexible paid time off | Take the time that you need to rest and recharge, including our week-long winter holiday closure. 
• Stock options | We offer competitive stock option packages to participate in the success of building Ladder
• A rewarding 401k match program | We'll match up to 4% of your contributions as you save for your retirement goals.
• Ladder Fit Program | Your health matters. That’s why Ladder provides a monthly reimbursement for wellness-related expenses.
• Commuter benefits | When you work from the office, you will receive pre-tax 
• benefits for your commute and free parking.
• A stocked, beautiful new office | Located in downtown Palo Alto, our office was specifically designed to accommodate all working styles. We've invested in technology to support our hybrid team, plus we provide office snacks and daily catered lunches so that team members can work well and have fun together.
• Paid parental leave | We think it's crucial that new parents have time to adjust to their new lives without worrying about work, so we provide all parents inclusive of birthing, adoption, or fostering ten weeks of paid baby bonding.
• Work-from-home flexibility and support | We recognize that everyone's homelife is different and support remote and hybrid work. Upon joining, we provide a one-time remote office stipend for all team members and then a monthly stipend to cover WFH costs such as the internet.
• Fun company-wide events | Whether we work locally or remotely, we genuinely enjoy spending time together. That’s why we plan fun virtual and in-person events to let loose and laugh.

The base pay range targeted for this position is $160,000 - $230,000. This role is eligible for equity and benefits as shared above. Base pay is determined by market location and may vary depending on job-related knowledge, skills, and experience.

Ladder is building a diverse team of talented and enthusiastic people. We are an equal opportunity workplace. At Ladder, differences are celebrated and supported to benefit our people, product, and community. Let us know why you're interested in this position and what unique contributions you can make to the Ladder team. We look forward to hearing from you.

Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria – unlike majority candidates meeting significantly fewer requirements. We strongly encourage you to apply if you’re interested: we'd love to know how you can elevate our team with your unique experience!

Senior Software Engineer, Infrastructure

About Ladder

We saw a problem within the life insurance industry: getting covered took too long, involved too much paperwork, and required too many in-person meetings with sales agents. Having lost his father at a young age, our CEO, Jamie, was determined to make it easier for people to get the coverage they needed to provide for their families. So, we got to work. We developed a method of real-time underwriting leveraging AI and, in doing so, reduced the months-long process of applying for life insurance to minutes. Our digital experience is quick (instant decisions!), loved by users (check out our Trustpilot or Google reviews) and prolific ($74 billion+ in coverage provided).

About the role  

We are looking for a Senior Software Engineer to accelerate developer productivity across Ladder's engineering organization. You'll own and modernize our CI/CD pipelines, build systems, and developer tooling - while also contributing to the reliability of our cloud infrastructure and data platform. 

The ideal candidate brings demonstrated experience in software engineering, leadership maturity and a deep understanding of  engineering infrastructure. 

This is a remote role based in one of the 22 States Ladder is currently hiring in - AZ, CA, CO, CT, FL, GA, KS, MA, MD, MN, NC, NH, NJ, NV, NY, OH, OR, PA, TX, VA, WA, WI.  Please note, Ladder is not currently sponsoring or transferring OPT or H1-B visa's.

How You'll Make a Difference

As a senior engineer on the team, you won't just be writing code, you'll be shaping our platform strategy. You will:

• Improve developer velocity across the engineering organization. You'll measure and optimize the inner loop -  how long it takes an engineer to go from code change to confident production deployment. This includes build times, test parallelization, deployment rollout speed, and the tooling engineers interact with every day.
• Shape the architecture of Ladder's production infrastructure. You'll evaluate trade-offs and make high-impact technical decisions — like whether to replace custom monitoring tooling with native cloud provider integrations, or redesign how we rebuild data pipelines when upstream logic changes. You'll be the person who sees the big picture across systems and decides where to invest engineering effort.

• Participate in incident response for infrastructure, run retrospectives, and help drive follow-through on fixes as part of the team.

• Systematically pay down infrastructure tech debt. You'll partner with your team to identify legacy systems that have been superseded by better alternatives and build a roadmap to retire them — migrating from bespoke systems to native integrations, cleaning up remnants of past cloud migrations, and upgrading components that have drifted behind. 
• You'll raise the engineering bar through code reviews, design reviews, and technical guidance -  not through formal management, but through the quality and clarity of your technical work.

Who You Are

• A functional programming expert: You have deep production experience with Clojure or another functional language and are excited to work in a Clojure-and-JVM environment. Prior Clojure experience is a strong plus.
• An expert with CI/CD and Build pipelines: You have battle-tested experience profiling and optimizing CI/CD pipelines for large codebases, possess intricate knowledge of monorepo build tools like Bazel and Buck, and know how to solve issues related to build and test slowness.
• An Infrastructure enthusiast: You have extensive experience with cloud-native technologies like Kubernetes, Terraform, Datomic, BigQuery and cloud platforms like GCP.
• A Systems Thinker: You possess a deep understanding of software design and architecture. You don't just patch bugs; you design elegant systems that prevent entire classes of problems.
• A Self Starter: You thrive in ambiguity. You can take a high-level, messy business problem, define the technical constraints, and drive the solution from ideation to deployment.

Experience Required

• 6+ years of professional software engineering experience, with 3+ years in infrastructure/platform roles
• BS, MS in Computer Science or related technical field a strong plus
• Must-have: Kubernetes, GCP (or equivalent cloud), CI/CD pipeline design, Docker, infrastructure-as-code, JVM operational experience, BigQuery, Kafka
• Strong plus: Clojure, Datomic, Datadog or similar observability platform, monorepo build tools (Buck, Bazel)
• Nice-to-have: Go, Python, Beam/Dataflow, 

What we Offer 

Ladder is highly collaborative and fun. To support you in your role, we offer fantastic perks and benefits that reflect our mission of care and support, including:

• Excellent medical, dental, and vision coverage | We offer competitive healthcare,dental and vision plans for you and your family.
• Flexible paid time off | Take the time that you need to rest and recharge, including our week-long winter holiday closure. 
• Stock options | We offer competitive stock option packages to participate in the success of building Ladder
• A rewarding 401k match program | We'll match up to 4% of your contributions as you save for your retirement goals.
• Ladder Fit Program | Your health matters. That’s why Ladder provides a monthly reimbursement for wellness-related expenses.
• Commuter benefits | When you work from the office, you will receive pre-tax 
• benefits for your commute and free parking.
• A stocked, beautiful new office | Located in downtown Palo Alto, our office was specifically designed to accommodate all working styles. We've invested in technology to support our hybrid team, plus we provide office snacks and daily catered lunches so that team members can work well and have fun together.
• Paid parental leave | We think it's crucial that new parents have time to adjust to their new lives without worrying about work, so we provide all parents inclusive of birthing, adoption, or fostering ten weeks of paid baby bonding.
• Work-from-home flexibility and support | We recognize that everyone's homelife is different and support remote and hybrid work. Upon joining, we provide a one-time remote office stipend for all team members and then a monthly stipend to cover WFH costs such as the internet.
• Fun company-wide events | Whether we work locally or remotely, we genuinely enjoy spending time together. That’s why we plan fun virtual and in-person events to let loose and laugh.

The base pay range targeted for this position is $145,000 - $192,000. This role is eligible for equity and benefits as shared above. Base pay is determined by market location and may vary depending on job-related knowledge, skills, and experience.

Ladder is building a diverse team of talented and enthusiastic people. We are an equal opportunity workplace. At Ladder, differences are celebrated and supported to benefit our people, product, and community. Let us know why you're interested in this position and what unique contributions you can make to the Ladder team. We look forward to hearing from you.

Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria – unlike majority candidates meeting significantly fewer requirements. We strongly encourage you to apply if you’re interested: we'd love to know how you can elevate our team with your unique experience!

About the Role

As a Senior Platform Engineer on the Data Platform team, you will be responsible for designing, implementing, and maintaining the data models, data access patterns, contracts, database infrastructure, and instrumentation that power our transactional systems. You will be at the intersection of every major engineering initiative, working across Product Engineering, Analytics, ML, and Platform to set the bar for data quality, consistency, usability, scalability, and security. You will ensure great data starts at the moment a feature is built, not as a cleanup task afterward. You'll also own one of the team's most impactful initiatives: designing and migrating to modern data models that reflect how our business works at scale.

We’re a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you’re inspired by our mission and energized by the opportunity to increase access to mental healthcare and profoundly impact millions of lives, apply today.

Responsibilities

• Define, implement, and evolve data models and schemas in Postgres to support product and analytical use cases.
• Develop and maintain our data access standards and patterns in our core backend systems with Python and Typescript.
• Lead the definition, design, and phased migration to improved data models for core business concepts.
• Work alongside product engineering teams to deliver features with correct and well-modeled data at the source.
• Measure and improve data quality, correctness, stability, and usability improvements across our transactional systems.
• Provide options around key initiatives and break down work into visible and achievable milestones, delivering incremental value.
• Mentor and train other engineers throughout the organization and seek to continually improve our architecture and data modeling standards and engineering processes.
• Improve data usability, trust, and developer productivity by building shared tooling, patterns, and documentation that make it easy for teams to produce and consume high-quality data.
• Maintain and improve our transactional database infrastructure running in AWS.
• Review SQL and data access code for our production systems.
• Partner with engineers across the organization to ensure database migrations are executed correctly and safely.
• Profile, analyze, and tune slow or inefficient queries in Postgres.
• Leverage AI-powered tooling to enhance the software development lifecycle.
• Drive security, reliability, scalability, observability, and cost-efficiency improvements across our deployed services.
• Hands-on experience participating in an on-call rotation, responding to and resolving critical infrastructure and application issues promptly.
• We currently work in Scrumban-style 2-week sprints. Our teams work hybrid (required if in NY) and remotely across time zones, but are available during core meeting hours (12PM to 5PM EST).

Requirements

• 4+ years of experience in a role focused on Backend or Data Platform Engineering.
• 3+ years of experience writing production-level SQL and backend code.
• Recent expertise with Python as a primary programming language.
• Experience with data modeling concepts and best practices (e.g., dimensional modeling, data vault, or similar).
• Experience with observability, monitoring, and logging tools such as Datadog and Cloudwatch.
• Proven track record of breaking down large problems and delivering incremental value to meet deadlines while providing options for long-term improvements.
• Ability to troubleshoot complex distributed systems.
• Familiarity with AI-enabled developer productivity tooling.
• Strong communication and problem-solving skills, and the ability to work in a fast-paced startup environment.
• Hands-on experience participating in an on-call rotation, responding to and resolving critical infrastructure and application issues promptly.
• Please note that team members who live within 45 minutes of a Charlie Health office are expected to follow a hybrid work schedule.

Nice-to-Haves

• Proficiency with programming languages like Typescript or Golang.
• Experience with large data migrations on production systems.
• Expertise with AWS services like Aurora, S3, SQS, ECS Fargate, and Lambda.
• Proficiency with Snowflake as a cloud data warehouse.
• Experience with Data Engineering tools like DBT, Dagster, Fivetran, and Hightouch.
• Familiarity with event-driven data architectures and stream processing (e.g., Eventbridge, Kafka, or similar).

Benefits

Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here.

The total target base compensation for this role will be between $150,000 and $220,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits.

About the Role

As a Senior Platform Engineer on the Data Platform team, you will be responsible for designing, implementing, and maintaining the data models, data access patterns, contracts, database infrastructure, and instrumentation that power our transactional systems. You will be at the intersection of every major engineering initiative, working across Product Engineering, Analytics, ML, and Platform to set the bar for data quality, consistency, usability, scalability, and security. You will ensure great data starts at the moment a feature is built, not as a cleanup task afterward. You'll also own one of the team's most impactful initiatives: designing and migrating to modern data models that reflect how our business works at scale.

We’re a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you’re inspired by our mission and energized by the opportunity to increase access to mental healthcare and profoundly impact millions of lives, apply today.

Responsibilities

• Define, implement, and evolve data models and schemas in Postgres to support product and analytical use cases.
• Develop and maintain our data access standards and patterns in our core backend systems with Python and Typescript.
• Lead the definition, design, and phased migration to improved data models for core business concepts.
• Work alongside product engineering teams to deliver features with correct and well-modeled data at the source.
• Measure and improve data quality, correctness, stability, and usability improvements across our transactional systems.
• Provide options around key initiatives and break down work into visible and achievable milestones, delivering incremental value.
• Mentor and train other engineers throughout the organization and seek to continually improve our architecture and data modeling standards and engineering processes.
• Improve data usability, trust, and developer productivity by building shared tooling, patterns, and documentation that make it easy for teams to produce and consume high-quality data.
• Maintain and improve our transactional database infrastructure running in AWS.
• Review SQL and data access code for our production systems.
• Partner with engineers across the organization to ensure database migrations are executed correctly and safely.
• Profile, analyze, and tune slow or inefficient queries in Postgres.
• Leverage AI-powered tooling to enhance the software development lifecycle.
• Drive security, reliability, scalability, observability, and cost-efficiency improvements across our deployed services.
• Hands-on experience participating in an on-call rotation, responding to and resolving critical infrastructure and application issues promptly.
• We currently work in Scrumban-style 2-week sprints. Our teams work hybrid (required if in NY) and remotely across time zones, but are available during core meeting hours (12PM to 5PM EST).

Requirements

• 4+ years of experience in a role focused on Backend or Data Platform Engineering.
• 3+ years of experience writing production-level SQL and backend code.
• Recent expertise with Python as a primary programming language.
• Experience with data modeling concepts and best practices (e.g., dimensional modeling, data vault, or similar).
• Experience with observability, monitoring, and logging tools such as Datadog and Cloudwatch.
• Proven track record of breaking down large problems and delivering incremental value to meet deadlines while providing options for long-term improvements.
• Ability to troubleshoot complex distributed systems.
• Familiarity with AI-enabled developer productivity tooling.
• Strong communication and problem-solving skills, and the ability to work in a fast-paced startup environment.
• Hands-on experience participating in an on-call rotation, responding to and resolving critical infrastructure and application issues promptly.
• Please note that team members who live within 45 minutes of a Charlie Health office are expected to follow a hybrid work schedule.

Nice-to-Haves

• Proficiency with programming languages like Typescript or Golang.
• Experience with large data migrations on production systems.
• Expertise with AWS services like Aurora, S3, SQS, ECS Fargate, and Lambda.
• Proficiency with Snowflake as a cloud data warehouse.
• Experience with Data Engineering tools like DBT, Dagster, Fivetran, and Hightouch.
• Familiarity with event-driven data architectures and stream processing (e.g., Eventbridge, Kafka, or similar).

Benefits

Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here.

The total target base compensation for this role will be between $150,000 and $220,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits.

About the Role:

The Core engineering team’s mission is to create the best data streaming platform. The team consists of known experts in foundational technologies such as Raft/consensus, transactions, WASM and distributed storage, who have come together to build a differentiated highly performant product with compelling traction in the market. The Core engineering team works closely across multiple functions at Redpanda and our work directly drives key business metrics through various SaaS and self-managed offerings.

We are looking for a software engineer who will help play a big role in expanding Redpanda’s footprint with enterprise-focused features and functionality related to next-generation streaming platform, security, performance and scalability.

You will:

• Build and maintain the customer-facing interfaces provided by Redpanda
• Analyze the Kafka API and strive for parity
• Enhance the user experience and overall system performance 
• Implement security and access control functions critical for enterprise customers
• Enable new customer-centric capabilities that focus on serving large enterprise customers
• Contribute to the overall success of Redpanda by ensuring our core tenets of Operational Simplicity, No Data Loss, and Blazingly Fast remain true as we push the envelope on scalability while expanding our target addressable market through features and integrations

You have: 

• 5+ years of substantial and relevant experience in software development
• Strong understanding and experience of C++, Rust or other systems languages (ideally modern C++17 or C++20), including profiling and benchmarking
• Excellent written communication skills, collaboration skills, and executive function to overcome challenges
• A lifelong commitment to learning and improving yourself

Nice to have: 

• Knowledge of and experience integrating auth{n,z} protocols such as: OAuth (OpenID), kerberos, SASL, LDAP, SCRAM, TLS, etc
• Experience with development of high throughput real-time distributed platforms 
• Some working knowledge of kubernetes and systems maintenance 
• Metrics development including open telemetry, prometheus and Grafana
• Experience developing open source software 
• Data streaming application experience 

If you can read this, type "blueberry" before your name.

U.S. base salary range for this role is $171,000 - 239,000 (CA, NY, WA) and  $164,000 - $229,000 (other US locations). Our salary ranges are determined by role, level, and location. As a remote-first company, we strive to consider each candidate's job-related skills, location, experience, relevant education or training to determine individual base salary. Your talent partner will share more about the specific salary range for your preferred location during the hiring process.

Please note that Redpanda uses artificial intelligence (AI) technology to assist in the screening and assessment of applications for this position. However, all final hiring decisions are made by our human hiring team.

Vacancy Status: This job posting is for an existing vacancy.