Applicants must be authorized to work for any employer in the U.S. without sponsorship. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, J-1, etc.

Your Role:

Tenable is seeking a Senior Software Engineer to join our VM Platform team. Our team sits at the center of our Tenable One architecture; we ingest massive volumes of assets and find data from collection teams, process it to calculate the "state of the world" for our customers, and feed it to downstream search and reporting products.

We are not just building web apps; we are solving a complex Big Data problem. You will build and maintain the high-throughput, event-driven pipelines responsible for processing the history of assets and vulnerabilities. You will move beyond simple CRUD operations to design systems that handle massive scale, ensuring that when we say an asset is vulnerable (or patched), that data is accurate and available in real-time.

To be considered for this role, you must meet one of the following criteria:

• Hybrid: Ability to commute to our Columbia, MD/Northern VA office.
• Hybrid: Ability to commute to our Boston, MA office.
• Remote: Currently reside in the San Francisco Bay Area, CA

Your Opportunity:

• Build the Future of Exposure Management: We are currently developing the backend that powers Tenable’s flagship Exposure Management (EM) platform. You will be building the future that powers our EM platform.
• Solve Complex Data Problems: Work on "team-named data processing" challenges. You will design logic that collapses millions of incoming findings into a single, accurate state record.
• Architect for Scale: Transition our systems to a new architecture designed to be faster, cheaper, and more reliable. Your work will unblock integrations across the entire company.
• Own Your Stack (DevOps): We support our services in the wild. You won't just write code; you will use Terraform and Datadog to deploy, monitor, and ensure the health of your services in production.

What You’ll Need:

• 4+ years of Backend Engineering experience with a focus on high-volume data processing or distributed systems.
• Strong JVM Proficiency: Deep experience with Java, Kotlin,is required. You should understand memory management and performance within the JVM ecosystem.
• Stream Processing Architecture: Proven experience with Kafka (ideally), AWS Kinesis, et al. You understand topics, partitions, and how to process teams of data asynchronously
• To be considered for this role, you must meet one of the following criteria: Hybrid with the ability to commute to our Columbia, MD/Northern VA office,  Hybrid with the ability to commute to our Boston, MA office, or Remote: Currently reside in the San Francisco Bay Area, CA
• Distributed Systems Knowledge: You understand the challenges of microservices, eventual consistency, and data resiliency.
• Stateful Processing Logic: Experience calculating "state" from a history of events. You understand how to take a stream of raw data and "collapse" it into a current status.
• DevOps Mindset: Hands-on experience with Terraform for infrastructure-as-code and observability tools like Datadog to monitor metrics and graphs.
• Database Experience: Proficiency with SQL and NoSQL data stores (PostgreSQL, DynamoDB, or similar) to store and retrieve state data.

And Ideally:

• Experience with Event Sourcing or CQRS patterns.
• While security background is a plus, we value Big Data/Data Pipeline experience first. If you can process data at scale, we can teach you the security domain.

#LI-LP1

Applicants must be authorized to work for any employer in the U.S. without sponsorship. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, J-1, etc.

Your Role:
Tenable is seeking a Full Stack Software Engineer to join our core product engineering teams. You will help design, develop, and maintain cloud-native, large-scale cybersecurity products that protect organizations worldwide. Our platforms operate in complex, ever-changing environments and demand innovation in scalability, reliability, and performance. As a Software Engineer, you will work across the stack , building microservices, APIs, and user interfaces , leveraging modern frameworks and cloud technologies. Your contributions will directly enable customers to secure their applications, infrastructure, and digital assets at scale.

Your Opportunity:

• Implement new features, fix bugs, and enhance the scalability and reliability of our systems.
• Develop expertise in distributed systems, cloud platforms, and modern UI frameworks while working on real-world security products.
• Work closely with Product Managers, UX designers, and fellow engineers to iteratively improve our products.
• Contribute ideas to improve Tenable’s architecture, development processes, and technology stack.
• Write clean, maintainable code, participate in code reviews, and help drive engineering best practices.

What You’ll Need:

• 2+ years of experience as a Full Stack Software Engineer in SaaS or cloud-based applications.
• Hands-on development experience with Java or Kotlin.
• Proficiency with at least one modern UI framework (React, Angular, or Vue.js).
• Solid understanding of RESTful API development and microservices architectures.
• Familiarity with AWS or other cloud platforms.
• Experience with databases (SQL or NoSQL such as PostgreSQL, DynamoDB, Elasticsearch).
• Exposure to CI/CD pipelines, containerization (Docker/Kubernetes), and Git-based workflows.
• Strong problem-solving skills with a focus on building reliable, performant, and secure applications.
• Good communication skills and a collaborative mindset.
• Passion for continuous learning and keeping up with emerging technologies.

And Ideally:

• Experience with event-driven systems (Kafka, SQS, SNS, etc).
• Familiarity with infrastructure-as-code and observability tools (Terraform, Prometheus, Datadog, ELK, Splunk, PagerDuty).
• Prior experience in cybersecurity, DevSecOps, or related domains.
• Exposure to multi-tenant SaaS or hybrid cloud architectures.

#LI-MS1

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

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.

MongoDB is building a world-class team in North America to create tooling that helps customers migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise their application and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model.  The tools developed by the Data Migration team are critical in this journey, helping customers with schema modeling, initial data loads, and continuous data synchronization.

We are looking for an experienced Staff Engineer with experience in the Java ecosystem, streaming systems, and data-intensive applications to join our team. We are building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React. A successful candidate will be a key contributor to our backend services, collaborating closely with product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.

We are looking to speak with candidates based in California, Oregon, or Washington for our hybrid or remote working models.

The ideal candidate for this role will have

• 8+ years of commercial software development experience with at least one JVM language such as Java, preferably using the Spring ecosystem
• Extensive experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
• Extensive experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
• Exposure to client-side technologies such as JavaScript and React is a plus
• Empower the engineering team with unparalleled thought leadership on emerging technologies and best practices
• Proactively engage with product leaders and senior management to align technical solutions with overarching business strategies
• Mentor and guide junior and senior engineers on best practices in data structures, algorithms, and database design
• Participate in code reviews, design discussions, and contribute to the overall technical direction and roadmap of the team
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills

Position Expectations

• Architectural Leadership: Drive the architectural vision and technical strategy for the data migration engine and its surrounding ecosystem. Contribute core, foundational code that solves the hardest scalability problems and sets the standard for the rest of the team
• Strategic Partnership: Partner closely with Engineering Leadership, Product Management, and Design to shape the technical roadmap. Anticipate future business needs and translate them into scalable, long-term technical initiatives
• Engineering Excellence & Mentorship: Define and champion engineering best practices, patterns, and standards across multiple teams. Actively mentor Senior and Mid-level engineers, cultivating a culture of technical excellence and continuous learning

Success Measures

Within the first three months, you will have

• Familiarized yourself with the MongoDB database and aggregation language
• Familiarized yourself with the problem space and the domain
• Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
• Started collaborating with your peers and contributed to code reviews

Within six months, you will have

• Worked on and delivered a large-scale code analysis feature in the product
• Contributed to and helped deliver a few releases of the product
• Reviewed and contributed to scope and technical design documents

Within twelve months, you will have

• Delivered large-scale features across our entire tech stack
• Helped recruit, interview and mentor new members of the team
• Collaborated with other teams at MongoDB

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: 4263333172

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

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

Applicants must be authorized to work for any employer in the U.S. without sponsorship. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, J-1, etc.

Location: Live in or able to relocate to San Francisco / San Jose area

Your Role:

Tenable is not only building great products and carving out a completely new category, but we are also building a world-class engineering culture committed to hiring the very best.

We are looking for a Senior Software Engineer to join a founding initiative within our engineering organization. In this role, you will help design and implement the Agentic AI Platform, the orchestration layer and nervous system that enables autonomous agents to reason, plan, and execute complex security workflows across our Exposure Management ecosystem.

This is a hands-on engineering role with broad impact. You will not just be "using" LLMs; you will be building the distributed systems, state machines, and tooling that transform generative models into reliable, enterprise-grade agents. 

While you will work from home the majority of your time, there may be an expectation to gather for in-person meetings on occasion. 

Your Opportunity:

• Build the Agentic Backbone: Architect and implement the backend services that power multi-agent workflows. You will build systems that allow AI agents to decompose complex user requests, manage state, and execute tasks across distributed microservices.
• Orchestration & Workflow Automation: Design scalable workflow engines and "human-in-the-loop" systems. You will enable agents to perform long-running investigations and remediation tasks, balancing autonomy with control.
• Bridge AI & Enterprise Infrastructure: Create the integration layer between modern Python-based AI frameworks and Tenable’s robust JVM-based microservices architecture.
• Reliability & Guardrails: Implement verification layers, citations, and security guardrails to ensure agents operate deterministically and safely. You will treat "prompts" as code and model outputs as untrusted input that requires validation.
• Tooling & RAG: Build advanced Retrieval-Augmented Generation (RAG) pipelines and "Tool Use" capabilities, allowing agents to query databases, call internal APIs, and synthesize data from disparate sources.
• Lead Technical Direction: Collaborate with researchers and product leads to define the roadmap for AI orchestration. Champion best practices for MLOps, agent evaluation, and system observability.

What You’ll Need:

• B.S. or M.S. in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 5+ years of software engineering experience (7+ for Staff level), with a strong background in building backend systems, APIs, and platforms.
• Agentic AI Expertise: Hands-on experience building AI agents and autonomous workflows using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Pydantic AI.
• Location: Live in or able to relocate to San Francisco / San Jose area
• Polyglot Proficiency: Strong programming skills in Python (essential for AI/ML ecosystems) with experience in, or a willingness to work with, JVM-based languages (Java, Kotlin, or Scala) for high-scale platform components.
• Distributed Systems: Experience designing event-driven architectures, managing concurrency, and building fault-tolerant services (e.g., using Kafka, gRPC, REST).
• Data Fluency: Proficiency with Relational Databases (PostgreSQL) and experience with Vector Databases (e.g., Pinecone, Weaviate, Milvus) or search engines (Elasticsearch).
• Builder Mindset: A self-starter who thrives in ambiguity and is passionate about taking AI from "prototype" to "production-grade."

And Ideally:

• LLM Ops & Evaluation: Experience designing frameworks to evaluate agent performance (accuracy, latency, cost) and implementing CI/CD for AI workflows.
• Cloud Native: Experience deploying and scaling services in AWS using Docker and Kubernetes.
• Graph & Search: Familiarity with Knowledge Graphs or advanced search algorithms to improve agent reasoning.
• Security Context: Understanding of cybersecurity concepts (vulnerability management, cloud security) is a plus, but not required if you are a strong systems engineer.

#LI-LP1

Applicants must be authorized to work for any employer in the U.S. without sponsorship. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, J-1, etc.

Your Role:

Tenable is seeking a Staff Software Engineer to join our VM Platform team. Our team sits at the center of our Tenable One architecture; we ingest massive volumes of assets and find data from collection teams, process it to calculate the "state of the world" for our customers, and feed it to downstream search and reporting products.

We are not just building web apps; we are solving a complex Big Data problem. You will build and maintain the high-throughput, event-driven pipelines responsible for processing the history of assets and vulnerabilities. You will move beyond simple CRUD operations to design systems that handle massive scale, ensuring that when we say an asset is vulnerable (or patched), that data is accurate and available in real-time.

To be considered for this role, you must meet one of the following criteria:

• Hybrid: Ability to commute to our Columbia, MD/Northern VA office.
• Hybrid: Ability to commute to our Boston, MA office.
• Remote: Currently reside in the San Francisco Bay Area, CA

Your Opportunity:

• Build the Future of Exposure Management: We are currently developing the backend that powers Tenable’s flagship Exposure Management (EM) platform. You will be building the future that powers our EM platform.
• Solve Complex Data Problems: Work on "team-named data processing" challenges. You will design logic that collapses millions of incoming findings into a single, accurate state record.
• Architect for Scale: Transition our systems to a new architecture designed to be faster, cheaper, and more reliable. Your work will unblock integrations across the entire company.
• Own Your Stack (DevOps): We support our services in the wild. You won't just write code; you will use Terraform and Datadog to deploy, monitor, and ensure the health of your services in production.

What You’ll Need:

• 8+ years of Backend Engineering experience with a focus on high-volume data processing or distributed systems.
• Strong JVM Proficiency: Deep experience with Java, Kotlin,is required. You should understand memory management and performance within the JVM ecosystem.
• Stream Processing Architecture: Proven experience with Kafka (ideally), AWS Kinesis, et al. You understand topics, partitions, and how to process teams of data asynchronously
• To be considered for this role, you must meet one of the following criteria: Hybrid with the ability to commute to our Columbia, MD/Northern VA office,  Hybrid with the ability to commute to our Boston, MA office, or Remote: Currently reside in the San Francisco Bay Area, CA 
• Distributed Systems Knowledge: You understand the challenges of microservices, eventual consistency, and data resiliency.
• Stateful Processing Logic: Experience calculating "state" from a history of events. You understand how to take a stream of raw data and "collapse" it into a current status.
• DevOps Mindset: Hands-on experience with Terraform for infrastructure-as-code and observability tools like Datadog to monitor metrics and graphs.
• Database Experience: Proficiency with SQL and NoSQL data stores (PostgreSQL, DynamoDB, or similar) to store and retrieve state data.
• Experience with Event Sourcing or CQRS patterns.
• While security background is a plus, we value Big Data/Data Pipeline experience first (if you can process data at scale, we can teach you the security domain).

#LI-LP1

MongoDB is building a world-class team in North America to create tooling that helps customers modernize their applications and migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise legacy workloads and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model. The tools developed by the Code Generation and Data Migration team are critical in this journey, helping customers with schema modeling, code generation, initial data loads, and continuous data synchronization.

We're looking for a Senior Engineer with a strong background in computer science fundamentals, systems design, experience in the Java ecosystem, streaming systems, and data-intensive applications to join our engineering team. In this role, you will be instrumental in designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform, code generation and migration tools. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation and  building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React.You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers, product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.

This role will be based out of North America in the PST and MST zones only.

The ideal candidate for this role will have

• 2+ years of  engineering experience in backend systems, distributed systems, or core platform development
• Experience in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems-level programming, memory management, and performance tuning
• Experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
• Experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
• Exposure to client-side technologies such as JavaScript and React is a plus
• Good understanding of algorithms, data structures and their time and space complexity
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills

Nice to Have

• Familiarity with cloud-native distributed systems (e.g., Kubernetes)
• Experience with NoSQL databases and understanding of their trade-offs is great, but not required. We'll teach you NoSQL
• Contributions to relevant open-source projects

Position Expectations

• Contribute high-quality, well-tested backend code to the data migration engine and core components of our generative AI orchestration platform
• Collaborate effectively with Product Management, AI researchers and machine learning engineers and designers to build and deliver on the product roadmap
• Work to develop robust and efficient backend services that orchestrate AI functionalities
• Identify and address performance bottlenecks and architectural challenges in our systems, particularly within data flow and orchestration
• Participate actively in code reviews to enforce best practices and patterns
• Help troubleshoot and resolve complex technical issues in our distributed systems
• Give and solicit feedback on technical design documents and pull requests
• Perform tasks related to process such as CI/CD, quality, testing, etc 

Success Measures

Within the first three months, you will have:

• Familiarize yourself with the MongoDB database and aggregation language
• Familiarize yourself with the backend tech stack including Java, Spring Boot, and Kafka
• Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
• Started collaborating with your peers and contributed to code reviews

Within six months, you will have:

• Familiarised yourself with the rest of our the application modernization tool stack
• Delivered at least one large scale feature that spans the entire tech stack
• Reviewed and contributed to scope and technical design documents

Within 12 months, you will have:

• Become a key contributor to our backend stack, capable of taking on complex features independently
• Helped recruit and interview new members of the team
• Collaborated effectively with other teams at MongoDB on cross-functional projects

About MongoDB

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

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

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

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

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

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

REQ ID: 425547

Company Overview

ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly log in across websites without needing to create a new login and re-verify. Over 140 million users experience streamlined login and identity verification with ID.me at 20 federal agencies, 44 state government agencies, and 66 healthcare organizations. More than 600 consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships. ID.me’s technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me is committed to “No Identity Left Behind” to enable all people to have a secure digital identity. To learn more, visit https://network.id.me.

Role Overview

ID.me is seeking a Staff Data Engineer (SDE-V) to lead the design, build, and operation of the core data infrastructure that underpins our identity platform. This engineer will be responsible for ensuring the reliability, scalability, and performance of the systems that move, process, and store data across the company.

In this role, you’ll own and operate key data infrastructure components — including event streaming platforms, relational databases, and batch processing systems — while driving automation and engineering best practices that improve data platform reliability and developer efficiency. You’ll partner closely with Platform Engineering, Site Reliability Engineering, and Compliance teams to ensure ID.me’s data ecosystem meets demanding operational, security, and regulatory requirements.

This is a hands-on technical leadership role for a data infrastructure engineer who thrives at the intersection of distributed systems, platform engineering, and data operations.

This role is based out of our Mountain View, CA or McLean, VA offices and requires full-time in-office attendance.

Responsibilities

• Own and operate core data infrastructure, including event streaming, relational database, and batch processing platforms.
• Design and implement highly reliable, observable, and scalable data systems that enable real-time and batch data processing.
• Develop automation and guardrails for data governance, retention, and compliance, ensuring auditability and consistency across services.
• Partner with application, platform, and SRE teams to improve data access patterns, reliability SLAs, and recovery processes.
• Establish standards for data infrastructure monitoring, alerting, and capacity planning, ensuring proactive issue detection.
• Drive operational excellence by improving resilience, reducing toil, and implementing self-healing or automated recovery mechanisms.
• Evolve and optimize data pipelines that support downstream analytics, identity verification, and machine learning systems.
• Evaluate, implement, and operate event-driven and batch data platforms such as Kafka, Google Pub/Sub, Dataflow, or Temporal.
• Lead incident response and root cause analysis for production data systems, contributing to postmortems and platform improvements.
• Mentor engineers and advocate for reliability-focused engineering culture across teams.
• Data lake architecture — Design and build the data lake storage and compute topology (object storage, partitioning, lifecycle, tiering) to support batch and streaming workloads.

Minimum Qualifications

• Bachelor’s or Graduate degree in Computer Science, Software Engineering, or a related technical field.
• 8+ years of professional experience in data engineering, software engineering, or distributed systems development.
• 6+ years of programming experience in one or more languages such as Go, Python, or Java, with emphasis on automation and data system integration.

Preferred Qualifications

• Deep expertise in building and operating data systems—including relational databases, streaming, and batch platforms—in production environments.
• Hands-on experience administering and optimizing PostgreSQL or other relational databases in the cloud (AWS RDS, CloudSQL, or AlloyDB).
• Solid understanding of reliability engineering principles, including observability, SLOs, capacity management, and operational readiness.
• Experience managing cloud infrastructure (AWS or GCP) using infrastructure-as-code tools like Terraform, Kubernetes, or Helm.
• Experience operating event streaming platforms such as Kafka or Google Pub/Sub.
• Experience with batch and stream processing systems, including Dataflow, Temporal, or Airflow.
• Strong knowledge of data pipeline orchestration, change data capture, and schema management.
• Background in automation, incident response, and data platform observability.
• Familiarity with data governance and regulatory compliance frameworks (e.g., FedRAMP, GDPR, NIST).
• Contributions to open-source data infrastructure projects or strong community engagement in the data reliability space.
• Passion for performance engineering, system design, and mentoring others to deliver operational excellence at scale.
• AI-assisted development — Demonstrable experience using AI developer tools (e.g., code generation, test generation, query synthesis) to accelerate platform automation while validating outputs through code review and tests.
• Data-aware LLM usage — Ability to safely use large language models for tasks such as SQL generation, data lineage summarization, and runbook drafting while ensuring no sensitive data is exposed to external models and all prompts and outputs are logged for audit.

Overview

• We’re seeking an experienced Lead Engineer to design, build, and deliver core Retail Store systems that power Alo’s in-store and omnichannel experiences.

• This role will be hands-on and technical, owning the design and delivery of store-facing applications including POS, OMNI order fulfillment by stores, and inventory receiving.

• International store expansion will be a key responsibility, alongside ongoing enhancements and reliability of domestic and global store systems.

• Work closely with Product, Retail Operations, ERP, and external partners to deliver scalable, reliable, and pragmatic solutions for real-world store environments.

• Requires deep technical expertise, strong system design skills, and ownership mindset for store-critical platforms.

Responsibilities

• Lead the technical design and implementation of store systems including POS, OMNI fulfillment (ship-from-store, BOPIS, cancellations, returns), and inventory receiving.

• Act as a hands-on technical lead, setting architecture, coding standards, and best practices across the team.

• Translate business and operational requirements into scalable, resilient, and maintainable technical solutions.

• Contribute directly to development using Java, Python, NodeJS, and React across backend and frontend systems.

• Design and build integrations with Shopify, ERP, OMS, loyalty platforms, and third-party vendors.

• Support international store expansion by deep diving into localization, regional compliance, taxation, and operational requirements for new countries.

• Ensure systems work effectively in physical retail environments, including POS hardware, peripherals, and unreliable network conditions.

• Collaborate closely with store managers and store teams to understand operational pain points and deliver pragmatic, easy-to-adopt solutions.

• Partner with Retail Operations and Product on rollout planning, training support, and adoption of new store-facing features.

• Design and operate event-driven and distributed systems using Kafka, ensuring idempotency, retries, and eventual consistency.

• Own service reliability for store systems by defining SLOs, improving error rates, and reducing MTTR.

• Build and maintain monitoring, alerting, and observability using tools such as Splunk and New Relic.

• Participate in on-call rotations, incident response, root-cause analysis, and post-incident improvements.

• Plan and execute for peak retail events (promotions, holidays, store launches) and support change discipline during critical windows.

• Drive best practices for testing, CI/CD, release management, and infrastructure-as-code.

• Ensure data accuracy, auditability, and reconciliation across inventory, order, and financial systems.

• Maintain strong security, access controls, and compliance standards for systems used in physically accessible store environments.

• Mentor junior engineers through technical guidance, code reviews, and design discussions.

Qualifications

• 7+ years of software engineering experience, with experience leading technical design and delivery for complex systems.

• Strong domain experience in Retail systems, store operations, and omnichannel commerce.

• Experience delivering store-facing systems such as POS, inventory receiving, and order fulfillment.

• Proficiency in Java, Python, and NodeJS; experience building backend services using Spring.

• Experience with frontend development using React.

• Hands-on experience integrating with Shopify and other retail platforms.

• Strong experience with relational and NoSQL databases including Oracle DB, MySQL, and DynamoDB.

• Experience designing and operating event-driven architectures using Kafka.

• Strong understanding of distributed systems concepts including retries, idempotency, eventual consistency, and transactional patterns.

• Experience with monitoring, logging, and alerting using tools such as Splunk and New Relic.

• Experience owning production reliability, incident response, and operational metrics.

• Proficiency with build and configuration tools such as Maven, Ant, and YAML.

• Experience with source control and collaboration using GitHub.

• Hands-on experience with containerization and orchestration using Docker and Kubernetes.

• Experience deploying and operating systems in AWS, including SAM and Terraform.

• Understanding of payment processing, settlement, taxation, and country-specific compliance considerations.

• Experience with omnichannel retail workflows including store fulfillment, ship-from-store, BOPIS, split shipments, cancellations, and returns.

• Strong ownership mindset with accountability for technical quality and business outcomes.

• Data-driven problem solver with pragmatic engineering judgment.

• Excellent cross-functional collaboration and communication skills.

• Comfortable operating in fast-paced, imperfect retail environments where store impact is critical.

The base salary range for this position is $175,000-$220,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company’s total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits.

Overview

• We’re seeking an experienced Engineering Manager to lead our Retail Systems engineering team.

• Own the technical vision, roadmap, and delivery of systems that power Alo’s store operations and omnichannel retail experiences.

• Work at the intersection of retail technology, store launches, physical store operations, and platform reliability.

• Partner closely with internal teams and external vendors to ensure store systems are scalable, reliable, and operationally effective.

• This role requires strong technical judgment, hands-on architecture experience, and proven people leadership in a retail/store systems context, with a pragmatic mindset for real-world store environments.

Responsibilities

• Lead, grow, and coach a team of engineers (ICs and senior engineers), fostering a high-performance, ownership-first culture.

• Recruit, retain, and mentor strong engineering talent; run performance reviews and career development plans.

• Promote engineering excellence, accountability, and continuous learning across the team.

• Own the Retail Systems technical roadmap and delivery, aligning priorities with business, store operations, and omnichannel goals.

• Translate complex business and operational requirements into scalable, reliable, and maintainable technical solutions.

• Provide architectural and technical leadership for store-facing systems including POS, inventory receiving, and omnichannel order fulfillment (ship-from-store, BOPIS, returns, cancellations).

• Deep dive into technology requirements for store launches and expansions, including localization, regional compliance, taxation, and operational readiness where applicable.

• Own technical readiness for store launches, including go-live planning, cutover execution, launch checklists, and post-launch hypercare.

• Support date-driven store launches, including after-hours or weekend cutovers when required.

• Partner closely with Retail Operations, ERP, Franchise Management, Store Operations, Product, and Finance.

• Collaborate directly with store managers and store teams to understand operational pain points and deliver pragmatic, easy-to-adopt technology solutions.

• Ensure systems work effectively in physical retail environments, including POS systems, store hardware, peripherals, and unreliable network conditions.

• Partner with Operations to support training, rollout communication, and adoption of new store-facing tools.

• Evaluate, RFP, and select external vendors and technology partners that meet both current and future retail requirements.

• Own technical relationships with third-party vendors, including reliability, SLAs, performance, and risk management.

• Assess vendor lock-in risks and ensure systems are designed with resiliency and exit strategies.

• Establish and monitor service-level objectives (SLOs/SLAs); reduce order failures and improve MTTR.

• Oversee monitoring, alerting, and observability across retail systems using tools such as Splunk and New Relic.

• Own on-call rotations, incident management, postmortems, and continuous improvement initiatives.

• Plan and execute for peak retail events (promotions, holidays, major launches) and enforce change discipline during critical retail windows.

• Drive best practices for testing, CI/CD, release management, and infrastructure-as-code.

• Ensure accuracy, auditability, and reconciliation of inventory, order, and financial data across store systems, ERP, and order platforms.

• Maintain strong security, access controls, and compliance standards for systems used in physically accessible store environments.

• Manage technical debt while ensuring platform stability, security, and compliance.

Qualifications

• 9+ years of software engineering experience, with 2+ years in an Engineering Manager or people-manager role.

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

• Strong domain experience in Retail systems, store operations, and omnichannel commerce.

• Experience delivering and operating store-facing systems such as POS, inventory receiving, and order fulfillment.

• Experience integrating with ERP, OMS, loyalty platforms, POS systems, and third-party vendors.

• Strong understanding of distributed systems, event-driven architecture, idempotency, retries, eventual consistency, and transactional patterns.

• Hands-on architectural experience with microservices using REST/gRPC APIs.

• Experience with relational databases and appropriate use of NoSQL systems (e.g., Oracle, MySQL, DynamoDB).

• Familiarity with event-streaming platforms such as Kafka.

• Proven ownership of system reliability, monitoring, alerting, and operational metrics.

• Experience with observability and alerting tools such as Splunk and New Relic.

• Experience shipping software in cloud environments (AWS, GCP, or Azure) and container orchestration (Kubernetes).

• Working knowledge of modern engineering stacks (Java/Spring, Node.js, Python) and CI/CD tooling.

• Understanding of payment processing, settlement, taxation, and retail compliance considerations.

• Experience with omnichannel retail workflows including store fulfillment, ship-from-store, buy-online-pick-up-in-store (BOPIS), split shipments, cancellations, and returns.

• Demonstrated ability to hire, develop, and retain high-performing engineering teams.

• Strong ownership mindset with accountability for customer, store, and business outcomes.

• Data-driven decision maker with a bias for action and pragmatic engineering judgment.

• Excellent cross-functional communication and stakeholder management skills, including presenting to senior leadership.

• Collaborative, empathetic leader with strong conflict-resolution skills.

• Comfortable operating in fast-paced, imperfect retail environments where store impact and customer experience are paramount.

The base salary range for this position is $188,000-$235,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company’s total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits.

What You’ll Do:

We are looking for an experienced Data Engineer to specialize in aviation data and analytics, focusing on two critical areas: scalable and efficient processing of flight test data for rapid design iteration and near-real-time analysis of aircraft health data for predictive maintenance. This role is vital for accelerating our aircraft design and improvement processes through efficient, scalable data processing and for ensuring operational reliability and safety through advanced predictive analytics.

In this role, you will be tasked with various aspects of data engineering. In addition to the above, your responsibilities will include but not limited to the following.

• Architect, build, and optimize our data processing systems to ensure reliability, efficiency, and scalability
• Develop and optimize ETL processes, data models, and data architectures for data transformation, structures, metadata, and workload management
• Develop and maintain data models that support analytics, reporting, and custom app development
• Create robust data quality observability, monitoring, testing, and validation frameworks
• Engage actively with analytics teams and business stakeholders to understand their data needs, ensuring the data architecture supports decision-making processes effectively
• Support the integration of data systems with aircraft telemetry, flight testing, and operational systems

What You Need:

• Bachelor’s or Master’s degree in Computer Science, Aerospace Engineering, Data Analytics, or a related field
• At least 3 years  experience in data or software engineering with background implementing best practices for SQL and programming languages (e.g. Python, Go, Rust)
• Experience designing and managing data warehouse /  lakehouse architectures for high performance and low latency
• Led development of real-time data pipelines using Kafka or related technologies
• Expertise with one or more cloud data platforms (e.g., AWS, GCP, Azure) 
• Deep understanding of data security and quality governance
• Deployed and scaled data workloads using Docker and Kubernetes, with the ability to manage compute resources for high-volume processing 
• Familiarity with ERP systems and how to extract data to build custom tools & applications
• Knowledge of integrating Gen AI into production data workflows 
• Exceptional analytical skills, attention to detail, and the ability to collaborate effectively across multidisciplinary teams
• Clear communication skills that are essential for working across diverse stakeholders

Bonus Qualifications:

• Solid foundation in machine learning and other data science fundamentals
• Familiarity with time series data applications and related technologies
• Experience with Infrastructure as Code (Terraform, CloudFormation)
• Advanced skills in predictive analytics and machine learning models for maintenance and anomaly detection
• Experience in aerospace or a related field, particularly with flight test data analysis and aircraft health monitoring
  
  

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

Custom Application Question:

In order to comply with U.S. export control laws and regulations, applicants for this position who are non-U.S. nationals (i.e. individuals who are not U.S. Citizens, Permanent Residents, Asylees, Refugees or members of a similar designation) may need to obtain an export-control license to access certain restricted data and/or information. To the best of your knowledge, is there a possibility that you may need to acquire an export-control license? 

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

The Role: 

Forge’s software engineering team is passionate about innovation and building scalable solutions that drive liquidity and growth in the private market. Our teams leverage a broad range of new technologies and are well-versed in delivering high-quality, innovative solutions. We thrive on moving fast, delivering value, and living our values of being bold, humble, and accountable.

We are seeking passionate engineers with at least 8+ years of experience delivering innovative software solutions that are scalable, secure, and easy to maintain. The ideal candidate thrives in team settings, enjoys collaboration and mentoring engineers, and focuses on delivering value and making an impact.

Location: This role requires 2-3 days a week in office in San Francisco, CA.

Responsibilities:

• Design, implement, and maintain web applications with customer domain-specific business logic
• Communicate with stakeholders, including Architects, Tech Leads, Product, and Design teams to deliver customer and business value
• Mentor junior engineers and guide the team on internal/external frameworks, best practices, and new technologies
• Develop concise, detailed, and articulate technical documentation
• Leverage Agile and Lean practices
• Lead a workstream, partner with Product on requirements, define technical requirements, and plan actionable tasks
• Design, build, and maintain automated tests (unit and integration as needed) to ensure high code quality
• Support healthy system operations and ensure high availability

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• 8+ years of software engineering experience
• Experience as a technical lead for a product engineering team
• Expertise building APIs with C# and .NET
• Experience with event-driven systems (Kafka, RabbitMQ, or similar)
• Experience with CQRS, Event Sourcing, or similar architectural patterns
• Strong knowledge of SQL / relational databases
• Experience contributing to and interpreting system design
• Proven track record of teamwork and delivery
• Experience in fintech or financial services, including familiarity with regulatory considerations

Preferred Skills (Nice-to-Have)

• Experience with KYC (Know Your Customer) workflows
• Experience with multiple server-side programming languages
• Experience with TDD (Test Driven Development) or DDD (Domain Driven Development)
• Experience with Marten (Event Store DB)
• Experience with CI/CD pipelines and deployment processes
• Experience building and scaling systems to millions of users (text truncated in original)

For residents of San Francisco, CA the annual salary range for this role is $209,000-$240,000 annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

ABOUT THE TEAM

Anduril’s Infrastructure Engineering organization provides the digital foundations for all aspects of our business. We are
evolving into a more data-driven approach for designing, building, and managing the critical infrastructure that ingests, transforms, and serves massive datasets to power analytics, machine learning, and intelligent applications.

ABOUT THE JOB

We are seeking a highly skilled Data Engineer with a strong software engineering foundation to help build and scale our next-generation data platform. This is a high-impact role where you will have the autonomy to architect robust systems that unlock critical business insights from complex, large-scale data

WHAT YOU’LL DO

Design and Build Scalable Data Pipelines: Architect, develop, and maintain robust and efficient ETL/ELT pipelines to
process petabyte-scale data from a wide variety of sources using platforms like Google BigQuery , Databricks, and
Palantir Foundry .
Apply Software Engineering Principles: Treat data infrastructure as a software product. Develop reusable
frameworks, libraries, and tools to accelerate data pipeline development and ensure reliability , using best practices like
version control, code reviews, and CI/CD.
Architect and Model Data: Design and implement well-structured, performant data models and schemas in our data
warehouse and data lakehouse environments, optimized for both analytical querying and application use.
Ensure Data Quality and Reliability: Implement comprehensive data quality checks, monitoring, and alerting to
proactively identify and resolve data issues. Troubleshoot and optimize performance bottlenecks in data processing and
storage layers.
Be a Force Multiplier: Collaborate closely with data scientists, analysts, software engineers, and business stakeholders

REQUIRED QUALIFICATIONS

• 5+ years of experience in a data engineering or a similar software engineering role, ideally building data products in a fast-paced environment.
• Strong programming proficiency in Python.
• Hands-on expertise with at least one major cloud data platform such as Google BigQuery, Databricks, or an enterprise data system like Palantir Foundry.
• Expert-level SQL and query optimization skills on large-scale datasets.
• Solid understanding of data modeling concepts, ETL/ELT design patterns, and data warehousing/lakehouse principles.
• Experience with a major cloud environment (GCP, AWS, Azure), including its security ecosystem and containerization technologies (Docker, Kubernetes).
• Must be eligible to obtain and maintain a US Top Secret security clearance.

PREFERRED QUALIFICATIONS

• Hands-on experience with data orchestration and transformation tools like Spark, PySpark, and dbt.
• Experience with Infrastructure as Code (e.g., Terraform, CloudFormation) for managing data resources.
• Knowledge of real-time data streaming technologies (e.g., Kafka, Flink, Pub/Sub).
• Experience implementing CI/CD pipelines for data applications (e.g., GitHub Actions, Jenkins).
• Experience with or a strong interest in learning how to develop data services and data products using modern software architecture and API design principles.
• Familiarity with data visualization tools, such as Tableau

ABOUT THE TEAM

Anduril Maritime delivers platforms, systems, and integrated effects in the maritime domain. Our autonomous vehicles (sub-surface and surface) are the cornerstone of these capabilities, and we continually strive to push the boundaries of the possible in terms of endurance, autonomy and mission capability. The Maritime team develops and maintains core products and payloads, and adapts and applies those products to serve a wide variety of defense, IC and commercial customers in US and international markets.

ABOUT THE JOB

As a Software Engineer, Data Engineering on the Maritime Digital Production team, you will build the high-throughput data systems that connect design, manufacturing, and operations into a unified digital thread. You’ll design and implement scalable data architectures that move and transform massive datasets efficiently, supporting everything from geometry access to live production analytics.

In this role, you’ll develop high-performance data access layers and scalable databases, integrate information from systems such as PLM, ERP, and MES, and ensure seamless, reliable data flow across the enterprise. You’ll continuously monitor and optimize performance to meet the demands of real-time, high-speed data operations, and maintain strong documentation to keep the system transparent and auditable.

You’ll work closely with software engineers, data scientists, and manufacturing technologists across Anduril in a high-tech, fast-paced culture of innovation. If you’re driven to build data systems that are fast, resilient, and deeply connected to real-world production, you’ll be helping build the future of digital shipbuilding and the next generation of maritime vehicles.

WHAT YOU'LL DO

• Design and Implement Data Access Layers: Develop high-performance data access layers to handle massive datasets, ensuring quick and efficient data retrieval and processing.
• Database Design and Management: Design, implement, and maintain scalable databases suitable for high-speed, high-throughput data operations.
• Data Integration: Integrate data from various business systems including PLM, ERP, and MES, ensuring seamless and efficient data flow.
• Performance Optimization: Monitor and optimize the performance of data access layers and databases to meet the demands of large-scale, real-time data processing.
• Collaborate with Cross-Functional Teams: Work closely with software engineers, data scientists, and other stakeholders to ensure the data architecture supports various applications and analytical needs.
• Maintain Documentation: Write and maintain comprehensive documentation for data access layers, databases, and data integration processes.

REQUIRED QUALIFICATIONS

• Proficiency in database management systems (e.g., SQL, NoSQL databases like MongoDB, Cassandra).
• Experience with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery).
• Strong understanding of data architecture principles and best practices.
• Proficiency in programming languages used for data engineering (e.g., Python, Java, Scala).
• Experience with big data technologies (e.g., Hadoop, Spark).
• Familiarity with cloud platforms and services (e.g., AWS, Azure, GCP).
• Strong problem-solving skills and ability to handle large volumes of data.
• Excellent collaboration and communication abilities.
• Eligible to obtain and maintain an active U.S. Secret security clearance.

PREFERRED QUALIFICATIONS

• Previous experience in a manufacturing or industrial setting.
• Experience with real-time data processing and stream processing technologies (e.g., Kafka, Flink).
• Knowledge of data governance and data quality management practices.
• Familiarity with containerization (Docker) and orchestration (Kubernetes).

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

The impact you will have:

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

What we look for:

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

The Role: 

Forge’s software engineering team is passionate about innovation and building scalable solutions that drive liquidity and growth in the private market. Our teams are leveraging a broad range of new technologies and are well-versed in delivering high quality, innovative solutions. We thrive on moving fast, delivering value, and living our values of being bold, humble, and accountable.

We are seeking passionae engineers with at least 8 years of experience delivering innovative software solutions that are scalable, secure, and easy to maintain. The ideal candidate thrives in team settings, enjoys collaboration and mentoring engineers, and focuses on delivering value and making an impact.    

Location: This role requires 2-3 days a week in office in San Francisco, CA.

Responsibilities:

• Design, implement, and maintain web applications with marketplace middleware-specific business logic
• Communicate with stakeholders. Work with Architects, Tech Leads, Product, and Design members to arrive at solutions that produce customer and business value.
• Mentor junior engineers. Guide members of the development team on internal and external frameworks, software development best practices, and new technologies.
• Develop concise, articulate, and detailed technical documentation
• Leverage Agile and Lean practices
• Lead a workstream, partner with product on requirements, lead technical requirements, and plan actionable tasks for the team
• Design, build, and maintain automated tests (unit and at times integration), ensuring high code quality
• Support healthy system operations and ensure high levels of availability are achieved

 Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or equivalent years of working experience in the field
• 8+ years of software engineering experience
• Experience as a technical lead for a product engineering team
• Expertise building APIs with C# and .NET
• Experience developing event-driven systems leveraging Kafka, RabbitMQ, or similar
• Experience with CQRS, Event Sourcing, or similar approaches
• Experience with SQL / Relational Databases
• Experience interpreting and contributing to system design
• Proven track-record of teamwork and delivery
• Fintech or Financial services industry experience with working knowledge of financial regulators and their concerns

Preferred Qualifications:  

• Experience with KYC (Know Your Customer) workflows
• Experience with multiple server-side programming languages 
• Experience with Test Driven Development (TDD) or Domain Driven Development
• Experience with Marten for Event Store DB
• Experience with CI/CD pipelines and managing application deployments
• Experience with scaling systems to millions of users
  • Working knowledge of the private market

For residents of San Francisco, CA the annual salary range for this role is $209,000-$240,000 annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

As a Senior Software Engineer II focusing on trading engineering, you will play a critical role in delivering a high-quality trading platform that powers trading functionality in the Forge Marketplace. You will identify opportunities to enhance trading products, including integrating modern low-latency technologies, and help define the direction and roadmap for trading engineering initiatives.

You will collaborate closely with Product, Design, and Engineering teams to ensure seamless integration of trading technologies into products, improving both user experience and application performance.

Location: This role requires 2-3 days a week in office in San Francisco, CA.

Responsibilities:

• Deliver software on time with accurate estimates
• Take ownership of production changes, including monitoring and maintaining runbooks
• Provide high-quality code reviews and help improve team engineering standards
• Design scalable and resilient trading platform architecture with a focus on performance
• Participate in design reviews and contribute to technical direction
• Serve as a technical expert for trading systems for internal teams and external partners
• Collaborate cross-functionally to translate business requirements into technical solutions
• Solve complex engineering challenges, particularly within code generation frameworks

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• 5–8 years of software engineering experience
• 5+ years of development experience in compiled, object-oriented languages (e.g., TypeScript, C#, Java)
• 2+ years of experience in dynamic scripting languages (e.g., Python, JavaScript, Ruby)
• Experience with real-time data processing and event-driven systems (e.g., WebSockets, Kafka)
• Strong SQL skills and experience with PostgreSQL and/or MySQL
• Experience building CI/CD pipelines and managing production deployments
• Familiarity with cloud platforms (AWS, Azure, GCP), proficiency with Git, GitHub, and Agile tools such as JIRA
• Experience in Private Markets or Financial Services, especially financial market data
• Strong collaboration and teamwork skills, proven ability to unblock and mentor other engineers
• Strong track record of delivery in high-performance engineering environments, commitment to diversity, inclusion, and building high-performing teams

For residents of San Francisco, CA the annual salary range for this role is $174,000-$210,000 annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

As our Senior Data Engineer focusing on data engineering, you will play a crucial role delivering a high-quality data platform that is responsible for maintaining and delivering Forge data to internal and external clients as well as improving and maintaining internal user interfaces to interact with this data. You will implement new features, maintain existing features and perform code reviews, unit testing, and production deployments for our data platform using agile methodologies. Collaborating closely with Product, Design, and Engineering teams, you’ll ensure requirements are well defined, and changes are delivered in a timely manner. 

Location: This role requires 2-3 days a week in office in San Francisco, CA.

For residents of San Francisco, CA the annual salary range for this role is $200,000-$230,000 annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

As a Senior Data Engineer focused on data engineering, you will play a key role in delivering a high-quality data platform responsible for maintaining and delivering Forge data to internal and external clients. You will implement new features, maintain existing functionality, and perform code reviews, unit testing, and production deployments using Agile methodologies. You will collaborate closely with Product, Design, and Engineering teams to ensure requirements are well defined and delivered in a timely manner.

Location: This role requires 2-3 days a week in office in San Francisco, CA.

Responsibilities

• Collaborate with cross-functional teams to understand requirements and deliver high-quality software solutions
• Implement software solutions in line with provided estimates and requirements
• Stay current with the latest trends and technologies in data engineering and advocate for appropriate adoption

Qualifications

• 3–5+ years of development experience using object-oriented languages such as TypeScript, C#, or Java
• Experience with scripting languages such as Python for data-related tasks
• Familiarity with modern data architectures (e.g., Medallion Architecture, data lakes)
• Experience in Private Markets or Financial Services, specifically working with financial market data
• Proven experience setting up CI/CD pipelines, managing data orchestration, application deployments, and ensuring code quality
• Strong project management skills, with the ability to take features from planning through deployment, including hands-on backend and frontend development
• Proficiency in databases such as PostgreSQL and strong SQL skills
• Experience with cloud platforms such as AWS (or equivalent like Azure or GCP)
• Extensive experience with version control systems such as Git and platforms like GitHub
• Familiarity with Agile project management tools such as JIRA or similar tools

Preferred Qualifications

• Experience migrating systems from legacy architectures to modern tech stacks
• Knowledge of real-time data processing and event-driven architectures using technologies such as WebSockets or Kafka
• Experience leading offshore and nearshore engineering teams
• Experience using large language models and agentic workflows

For residents of San Francisco, CA the annual salary range for this role is $110,000-$130,000 annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role:

Forge’s software engineering team is passionate about innovation and building scalable solutions that drive liquidity and growth in the private market. Our teams are leveraging a broad range of new technologies and are well-versed in delivering high quality, innovative solutions. We thrive on moving fast, delivering value, and living our values of being bold, humble, and accountable.

We are seeking passionate engineers with at least 8 years of experience delivering innovative software solutions that are scalable, secure, and easy to maintain. The ideal candidate thrives in team settings, enjoys collaboration and mentoring engineers, and focuses on delivering value and making an impact. 

Location: This role requires 2-3 days a week in office in San Francisco, CA.

Responsibilities:

• Design, implement, and maintain web applications with marketplace middleware-specific business logic
• Communicate with stakeholders. Work with Architects, Tech Leads, Product, and Design members to arrive at solutions that produce customer and business value.
• Develop concise, articulate, and detailed technical documentation
• Leverage Agile and Lean practices
• Design, build, and maintain automated tests (unit and at times integration), ensuring high code quality
• Support healthy system operations and ensure high levels of availability are achieved

 Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or equivalent years of working experience in the field
• 4+ years of software engineering experience
• Expertise building APIs with C# and .NET
• Experience developing event-driven systems leveraging Kafka, RabbitMQ, or similar
• Experience with CQRS, Event Sourcing, or similar approaches
• Experience with SQL / Relational Databases
• Proven track-record of teamwork and delivery
• Fintech or Financial services industry experience with working knowledge of financial regulators and their concerns

Preferred Qualifications:  

• Experience with multiple server-side programming languages 
• Experience with Test Driven Development (TDD) or Domain Driven Development
• Experience with CI/CD pipelines and managing application deployments
  • Working knowledge of the private market

For residents of San Francisco, CA the annual salary range for this role is $169,000-$200,000 annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

Company Overview

At Zuora, we do Modern Business. We’re helping people subscribe to new ways of doing business that are better for people, companies and ultimately the planet. It’s an approach resulting from the shift to the Subscription Economy that puts customers first by building recurring relationships instead of one-time product sales and focuses on sustainable growth. Through our leading expertise and multi-product suite, we are transforming all industries and working with the world’s most innovative companies to monetize new business models, nurture subscriber relationships and optimize their digital experiences.

Location & Work Arrangements

This role is based in our Foster City, CA office and follows a hybrid work model. Team members are expected to work onsite three days per week to foster collaboration, innovation, and team connectivity.

This is not a fully remote position.

The Team & Role

The authentication and OneID team, which is the user management portal that acts as a hub to all the zuora products. It controls the entire user lifecycle management for Zuora users and create a cohesive user experience for both admins and users. This is a critical piece of the Zuora platform which supports all products.

Our Tech Stack: Java, Spring, Rest API, Microservices, Kafka, NodeJS, Postgress, AWS, Kubernetes, Terraform, ReactJS

What you’ll do

• Independently responsible for the entire lifecycle of projects or features including eng design, development, and deployment.
• Improve code structure and architecture in service of testability and maintainability.
• Write, co-write, and review technical design documentation.
• Participate in cross-team design reviews and provide technical oversight to improve execution and system robustness.
• Assists and mentors junior engineers on an individual basis.

Your experience

• 6+ years of experience in software engineering
• Working knowledge of modern web technologies including cloud-based APIs and protocols (REST, JSON, Protobufs)
• Knowledge and experience in the Payment domain
• Understanding of microservices frameworks (Spring Boot or Dropwizard)
• Experience developing SaaS/enterprise solutions with database and object modeling skills
• Experience with AI integrated tools such as Cursor or Claude
• Passion for exploring and experimenting with the latest application development technologies
• Expert level experience with Java / Spring, data structures and algorithms, building large-scale performance services.
• Excellent Problem Solving and communication skills
• Passion for exploring and experimenting with the latest application development technologies

#ZEOLife at Zuora

As an industry pioneer, our work is constantly evolving and challenging us in new ways that require us to think differently, iterate often and learn constantly—it’s exciting. Our people, whom we refer to as “ZEOs" are empowered to take on a mindset of ownership and make a bigger impact here. Our teams collaborate deeply, exchange different ideas openly and together we’re making what’s next possible for our customers, community and the world.

As part of our commitment to building an inclusive, high-performance culture where ZEOs feel inspired, connected and valued, we support ZEOs with:

• Competitive compensation, variable bonus and performance reward opportunities, and retirement programs
• Medical insurance
• Generous, flexible time off
• Paid holidays, “wellness” days and company wide end of year break
• 6 months fully paid parental leave
• Learning & Development stipend
• Opportunities to volunteer and give back, including charitable donation match
• Free resources and support for your mental wellbeing 

Specific benefits offerings may vary by country and can be viewed in more detail during your interview process.

Location & Work Arrangements
Organizations and teams at Zuora are empowered to design efficient and flexible ways of working, being intentional about scheduling, communication, and collaboration strategies that help us achieve our best results. In our dynamic, globally distributed company, this means balancing flexibility and responsibility — flexibility to live our lives to the fullest, and responsibility to each other, to our customers, and to our shareholders.

Our Commitment to an Inclusive Workplace Think, be and do you! At Zuora, different perspectives, experiences and contributions matter. Everyone counts. Zuora is proud to be an Equal Opportunity Employer committed to creating an inclusive environment for all.

Zuora does not discriminate on the basis of, and considers individuals seeking employment with Zuora without regards to, race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance@zuora.com.

About Zuora

At Zuora, we help businesses grow smarter and adapt faster. Our platform powers modern business models — from subscriptions and usage-based pricing to AI-driven and outcome-based offerings — helping companies launch new products, automate complex billing, and unlock predictable, recurring revenue.

We’ve led the Subscription Economy for more than a decade. Now we’re evolving again by building the definitive platform for quote to cash and helping companies monetize their products and services with an adaptable, AI-ready foundation.

Location & Work Arrangements

This role is based in our Foster City, CA office and follows a hybrid work model. Team members are expected to work onsite three days per week to foster collaboration, innovation, and team connectivity.

This is not a fully remote position.

The Opportunity

Zuora’s Integration Hub (IH) team is building the connective tissue of the Subscription Economy. Our mission is to enable seamless, secure, and scalable integrations between Zuora and the broader enterprise ecosystem — including CRM, ERP, payments, data platforms, and partner applications.

As a Software Engineer III on the Integration Hub team, you will design and develop high-performance integration services, event-driven systems, and extensible APIs that power mission-critical business workflows. You will play a key role in shaping a modern, scalable integration platform that supports real-time data exchange, automation, and enterprise-grade reliability.

You will:

• Design and build scalable integration services, APIs, and connectors.
• Develop event-driven and microservices-based architectures to enable real-time data flows.
• Partner closely with Product, Platform, Security, and external partners to deliver reliable and extensible integration capabilities.
• Improve system performance, observability, and resilience across distributed systems.
• Write clean, maintainable, and well-tested code aligned with engineering best practices.
• Contribute to architectural discussions and drive technical improvements across the Integration Hub platform.

About the Team

Modern businesses rely on a complex ecosystem of systems — CRM, ERP, billing, payments, analytics, and more. As companies adopt subscription and usage-based models, seamless data flow between these systems becomes essential.

The Integration Hub team is responsible for enabling:

• Pre-built and extensible connectors to third-party systems
• Event streaming and webhook frameworks
• Scalable APIs and integration services
• Secure, reliable, and observable data exchange across platforms
  
  

We are investing in a next-generation integration platform built on microservices, cloud-native architecture, and event-driven design principles to power Zuora’s ecosystem strategy for years to come.

Our Tech Stack includes:
Java, Spring Boot, REST APIs, Microservices, Kafka, AWS, Kubernetes, Terraform, Postgres, and distributed event-driven systems.

Your Experience

• B.Tech / B.E. in Computer Engineering or equivalent discipline.
• 5+ years of experience in backend or full-stack software development.
• Knowledge and experience in the Payment domain.
• Strong expertise in Java (preferred) or another modern programming language.
• Experience building RESTful APIs and distributed microservices.
• Familiarity with event-driven architectures (e.g., Kafka or similar messaging systems).
• Strong understanding of cloud platforms (AWS preferred).
• Experience with relational databases (Postgres, SQL, AWS RDS).
• Knowledge of system reliability, observability, and performance optimization.
• Strong debugging, problem-solving, and communication skills.
• Experience working on integration platforms, SaaS products, or enterprise systems is a strong plus.
• Curiosity and enthusiasm for exploring emerging technologies and AI-powered development tools.

About You

• You enjoy solving complex system integration challenges.
• You think in terms of scalability, reliability, and extensibility.
• You take ownership and thrive in collaborative environments.
• You’re comfortable navigating ambiguity and contributing to evolving architectures.
• You care about writing clean code and building systems that other engineers love to use.

Pay and Benefits

At Zuora, we’re constantly learning, innovating, and growing. Our people—known as ZEOs—are empowered to take ownership, challenge the status quo, and make a lasting impact.

We collaborate deeply, think boldly, and support one another to make what’s next possible—for our customers, our communities, and each other.

We offer:

• Competitive compensation, bonus opportunities, and retirement programs
• Comprehensive medical, dental, and vision coverage
• Generous, flexible time off
• Paid holidays, wellness days, and a company-wide year-end break
• Paid parental leave
• Learning & development stipend
• Opportunities to give back, including volunteer time and donation matching
• Mental wellbeing resources and support

(Benefits may vary by location; details will be shared during the interview process.)

Location & Work Arrangements

Zuora teams are empowered to design flexible, intentional ways of working. Whether remote, hybrid, or in-office, we balance flexibility with accountability—to each other, our customers, and our mission.

For most roles, you’ll have the freedom to work where you’re most productive while staying connected to your team and the broader ZEO community.

Our Commitment to an Inclusive Workplace

Think, be and do you! At Zuora, different perspectives, experiences and contributions matter. Everyone counts. Zuora is proud to be an Equal Opportunity Employer committed to creating an inclusive environment for all.

Zuora does not discriminate on the basis of, and considers individuals seeking employment with Zuora without regards to, race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance@zuora.com

FEQ127R316

As a Specialist Solutions Architect (SSA) - Cloud Infrastructure & Platform, you will guide customers in the administration and security of their Databricks deployments for a variety of our customers. You will be in a customer-facing role, working with and supporting Solution Architects, which requires hands-on production experience with public cloud - AWS, Azure, and GCP.  SSAs help customers with the design and successful implementation of essential workloads while aligning their technical roadmap to expand the use of the Databricks Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs, and establish yourself in an area of specialty - whether that be cloud deployments, security, networking, or more.

The impact you will have:

• Provide technical leadership to guide strategic customers to the successful administration of Databricks, ranging from design to deployment
• Architect production-level deployments, including meeting necessary security and networking requirements 
• Become a technical expert in an area such as cloud platforms, automation, security, networking, or identity management
• Assist Solution Architects with more advanced aspects of the technical sale, including custom proof of concept content and custom architectures
• Provide tutorials and training to improve community adoption (including hackathons and conference presentations)
• Contribute to the Databricks Community

What we look for:

• 5+ years of experience in a technical role with expertise in at least one of the following:
• Cloud Platforms & Architecture: Cloud Native Architecture in CSPs such as AWS, Azure, and GCP, Serverless Architecture.
• Security: Platform security, Network security, Data Security, Gen AI & Model Security, Encryption, Vulnerability Management, Compliance. 
• Networking: Architecture design, implementation, and performance
• Identify management: Provisioning, SCIM, OAuth, SAML, Federation
• Platform Administration: High availability and disaster recovery, cluster management, observability, logging, monitoring, audit, and cost management
• Infrastructure Automation and InfraOps with IaC tools like Terraform
• Maintain and extend the Databricks environment to adapt to evolving complex needs.
• Deep Specialty Expertise in at least one of the following areas:
• Security - understanding how to secure data platforms and manage identities
• Complex deployments
• Public Cloud experience - experience designing data platforms on cloud infrastructure and services, such as AWS, Azure, or GCP, using best practices in cloud security and networking.
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience.
• Hands-on experience with Python, Java, or Scala, and proficiency in SQL, and Terraform experience are desirable.
• 2 years of professional experience with Big Data technologies (Ex: Spark, Hadoop, Kafka) and architectures
• 2 years of customer-facing experience in a pre-sales or post-sales role
• Can meet expectations for technical training and role-specific outcomes within 6 months of hire
• This role can be remote, with travel up to 30% when needed

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

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

What You’ll Do:

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

Who You Are:

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

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

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

Benefits and Growth:

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

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

#LI-LB1

Our Senior Developer Advocates are technical leaders and mentors that anchor our team. They own projects from beginning to end, facilitating collaboration and enabling Datadog's community to solve real-world problems. With a focus on Data Observability, this role will enable our community of engineers around Datadog to be part of a movement of building better software. This is a unique opportunity to use both your engineering expertise and advocacy skills to shape the ever-evolving technological landscape.

What You’ll Do:

• Act as a subject matter expert for data observability on behalf of the Datadog advocacy and engineering teams
• Create content in one or more mediums to build Datadog's reputation as a leader in data engineering and observability e.g. building demos, public speaking, blogging, documentation, webinars, open source, research reports and more
• Partner with and coach internal product and customer engineering teams on effective public communication and presentations for the work they do
• Contribute to the product through feedback (bugs or product enhancements suggestions)
• Identify and pursue opportunities for events, programs, and other community-focused work that establishes trust with practitioners

Who You Are: 

You are a trusted technical expert who enjoys helping data practitioners understand, operate, and improve complex data systems in production. You bring deep, hands-on experience in one or more areas of modern data engineering, and you use that experience to provide clear context to both the community and internal teams.

You are not expected to be an expert in every area below. Instead, you bring depth in some and working familiarity across many, and you are comfortable connecting them into a coherent operational story.

• Data engineering & processing systems: You have built, operated, or supported production data pipelines using distributed processing systems such as Apache Spark or Databricks, and understand common failure modes, performance tradeoffs, and operational challenges in batch and hybrid pipelines.
• Data platforms & analytics systems: You have hands-on experience with analytics platforms such as Snowflake and BigQuery, including schema design, data modeling, SQL-based analysis, and reasoning about performance, cost, and access patterns in real-world environments.
• Streaming & event-driven data: You understand how data flows through streaming systems such as Kafka or similar platforms, including producer and consumer behavior, lag, delivery semantics, and how streaming issues propagate into downstream datasets and analytics.
• Data quality, lineage, and metadata concepts: You are familiar with how data teams reason about data quality, upstream and downstream impact, and change management, and have experience working with data lineage, metadata, or transformation tooling (for example dbt, OpenLineage, or related ecosystems), or have operated in environments where these concepts are core to reliability.
• Programming & querying: You are comfortable working in at least one programming language commonly used in data systems (for example Python, Scala, Java, or Go), along with strong SQL skills, and you can move fluidly between code, queries, and notebooks when exploring or demonstrating data systems.

You also have:

• 10+ years of experience as a software developer, data engineer, SRE, or other practitioner building and maintaining production systems
• 3+ years of experience in advocacy, developer relations, or equivalent experience reaching technical audiences through written content, conference talks, workshops, webinars, videos, or open-source contributions
• Publicly available writing samples, demos, repositories, or recordings of technical presentations
• Familiarity with modern cloud infrastructure and container-based systems
• A strong interest in self-directed learning and exploring new technologies, tools, and problem spaces

Bonus points:

• Experience supporting data pipelines for ML or AI systems
• Meaningful contributions to open source or shared technical tooling
  
  

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

Benefits and Growth: 

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

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

#LI-Remote

About Netskope

Today, there’s more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security. 

Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, San Francisco, Seattle, Bangalore, London, Madrid, Melbourne, Taiwan and Tokyo. Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships, collaboration, and teamwork. From catered lunches and office celebrations to employee recognition events and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive.  Visit us at Netskope Careers and follow us on Twitter @Netskope and Facebook. 

About the Role

As a member of the API Protection team you will work cross-functionally to build state-of-the-art cloud platforms to support our growing product portfolio. Specific responsibilities will include but not be limited to:

• Collaborate with high profile talents, coach, mentor and encourage growth and career progress of team members.
• Reviewing architectures and designs across the organization to help guide other engineers to build scalable cloud services
• Providing technical leadership and strategic direction for large-scale distributed cloud-native solutions
• Being a catalyst for improving engineering processes and ownership

Qualifications/Requirements

• 15+ years of software engineering experience including 8+ years experience with distributed systems
• Excellent Unix/Linux experience and programming experience with go, C/C++, java and scripting: python, ruby, shell
• Understanding of IPC mechanisms and previous experience working with: TCP/IP, Kafka, zmq, grpc, zookeeper.
• Strong background in cloud environments: containers, docker, kubernetes, etcd, zookeeper, service meshes, vault, istio and envoy, API gateways, load balancers.
• Experience with databases, general understanding of ACID, consistency, sql/nosql, key-value stores, time series and columnar databases.
• Experience in CI/CD, using tools like Drone, Github, Makefiles, etc.
• Experience with in-memory databases like Redis

Additional Skills

• Strong verbal and written communication skills. Communicate in an open, transparent and consistent manner with team and co-workers.
• Determined and ever ready to roll up sleeves to respond to the needs of customers proactively and promptly.
• Achievement orientated and willing to take responsibility for own actions.
• Believe in innovation and out-of-the box thinking to foster originality of ideas.

Education

• MS in Computer Science or equivalent technical degree

#LI-AW1

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

Role Overview

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

Responsibilities

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

Requirements

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

Nice to Have

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

Tech Stack

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

Why Join Us

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

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

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

Role Overview

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

Responsibilities

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

Requirements

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

Nice to Have

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

Tech Stack

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

Why Join Us

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

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

Senior AI Data Engineer (Full-time)

Remote in CA, TX, NC, WA, ID, NV, AZ, CO, KS, AR, LA, AL, GA, FL, SC, TN, VA, MD, NJ, DE, IL, WI, MI, OH, MA, PA, NH, CT

Cortica is looking for a Senior AI Data Engineer to join its growing team!

The Senior AI Data Engineer will serve as both architect and builder of our data ecosystem. Every initiative will follow a complete engineering lifecycle: gathering stakeholder requirements, designing the solution, building and testing it, and shipping it to production. This role will work across data lakes, analytics pipelines, and lightweight application development— the multi-disciplinary data equivalent of a full-stack developer.

The Senior AI Data Engineer will work closely with the data science, finance, and clinical operations teams to design intelligent, automated data solutions that power care decisions, financial planning, and operational efficiency. AI augmentation is not optional — it is the standard working mode.

Cortica is a rapidly growing healthcare company pioneering the most effective treatment methods for children with neurodevelopmental differences. Our mission is to design and deliver life-changing care – one child, one family, one community at a time. Ultimately, we envision a world that cultivates the full potential of every child. At Cortica, every team member is instrumental in helping us achieve our mission!

Our culture and values guide how we work and treat one another. Cortica celebrates diversity and fosters an inclusive environment, seeking ideas and opinions from everyone on the team. We safeguard equal rights and respect for all individuals, regardless of race, color, religion, sex, national origin, age, disability, creed, genetic information, sexual orientation, gender identity or expression, ancestry, veteran status or other applicable, legally protected characteristics. All Cortica employment decisions are made based on an individual’s qualifications and ability to successfully perform the job responsibilities.

What will you do?

Full Lifecycle Project Ownership:

• Engage stakeholders directly to gather, clarify, and document project requirements.
• Translate requirements into architected data solutions: choose the right storage, pipeline, modeling, and delivery approach for each problem.
• Own testing end-to-end — unit tests, data quality checks, reconciliation, and integration tests before anything reaches production.
• Deploy solutions to production and monitor post-deployment health, iterating rapidly based on real-world feedback.

AI-First Data Engineering: 

• Run parallel AI coding sessions (Claude Code, Cursor, Codex) across different facets of a pipeline simultaneously — orchestrate, verify, and integrate the outputs.
• Build and maintain context files (CLAUDE.md equivalents) for data projects that encode schema conventions, pipeline patterns, and institutional knowledge — making every future AI session smarter.
• Design verification loops: automated data quality checks, dbt tests, CI hooks, and pipeline monitors that give AI agents concrete feedback on correctness. • Build MCP (Model Context Protocol) or equivalent integrations to connect AI agents directly to Snowflake, Amazon Athena, Postgresql, MySql, Power BI APIs, Salesforce, and internal tooling.
• Prefer frontier models for complex architectural decisions and rely on AI acceleration to dramatically increase engineering throughput.

Data Platform & Pipeline Engineering:

• Design and build complex, reliable data pipelines ingesting from AWS, Azure, Salesforce, MuleSoft, and multiple third-party APIs into our AWS Data Lake and Snowflake warehouse.
• Implement and evolve data models using Kimball methodology to support financial, operational, and clinical analytics.
• Optimize pipeline performance, manage data quality, and perform root-cause analysis on data anomalies — internal and external. • Develop and maintain orchestration workflows in Python, and AWS Glue.
• Continuously evolve the data schema as business and engineering requirements change.

Analytics & Reporting Enablement:

• Build and support Power BI data models and reports; empower analytics team members to self-serve on a reliable data foundation.
• Work with data analysts and data scientists to build reusable, well-documented pipeline components they can extend independently.
• Deliver data products that drive clinical care decisions, financial planning, and operational performance improvements.

Application Development:

• Build lightweight internal data applications and tooling where needed; data entry interfaces, operational dashboards, automation scripts that bridge the gap between data pipelines and end users.
• Design for agentic workflows: build AI-powered data tools accessible via web interfaces or Slack that surface insights proactively.
• Integrate with Salesforce Health Cloud and other platforms using APIs and event-driven patterns.

Security, Governance & Collaboration: 

• Ensure data security and HIPAA compliance in all pipeline and application work. Partner with IT to enforce data governance standards.
• Document decisions, tradeoffs, and architecture clearly so that future engineers (and AI agents) can build on your work effectively.
• Collaborate across IT, finance, clinical operations, and data science — acting as the connective tissue between data infrastructure and business outcomes.

We’d love to hear from you if:

• You have 5+ years of hands-on data engineering experience, including building and operating production data pipelines.
• You have expert-level Python skills for ETL, pipeline orchestration, and automation.
• You possess deep SQL proficiency — query optimization, data modeling, stored procedures.
• You bring 2+ years’ experience working with AI first development workflows.
• You bring 4+ years’ experience with the following AWS (S3, Glue, Lambda, Redshift), and/or Azure big data services.
• You have 1+ year of experience with Snowflake.
• You have 2+ years of experience with orchestration frameworks.
• You have 2+ years of Salesforce experience with Apex and configurations.
• You’re experienced with Kimball dimensional modeling — you've built star schemas and conformed dimensions in production.
• You have Power BI (or equivalent BI tool) experience — data model design and report development.
• You have API integration experience — REST, GraphQL, event streaming (Kafka, Kinesis, or similar).
• You possess application development literacy — comfortable building lightweight web tooling (Python/Flask, Node, or similar) to complement data products.
• You reside in one of the following states: CA, TX, NC, WA, ID, NV, AZ, CO, KS, AR, LA, AL, GA, FL, SC, TN, VA, MD, NJ, DE, IL, WI, MI, OH, MA, PA, NH, CT

Your Compensation & Benefits

Cortica cares deeply about the well-being of each member of our team, and we have created a passionate, caring, and growth-minded culture that helps teammates thrive! As a Cortica teammate, we’ll support your well-being through medical, dental, and vision insurance, a 401(k) plan with company matching and rapid vesting, paid holidays and wellness days, life insurance, disability insurance options, tuition reimbursements for professional development and continuing education, and referral bonuses. We value you and the experience you bring to your role, and are proud to provide you with a compensation and benefits package designed to enhance all aspects of your life.

The base pay range for this opening is $160,000 to $200,000. According to your skill level, relevant experience, education level, and location, you will receive compensation that fits appropriately within the range. EOE. This posting is not meant to be an exhaustive list of the role and its duties.

Privacy Notice 
Cortica is committed to protecting your personal information in compliance with applicable federal and state laws. Please review our Privacy Notice to understand how your data is collected, used, and protected. 

E-Verify Participation 
This employer participates in E-Verify. Click here to view the E-Verify Poster and your Right to Work. 
Este empleador participa en E-Verify. Este empleador participa en E-Verify. Haga clic aquí para ver el cartel de E-Verify y su derecho a trabajar. 

#LI-NF1

#LI-Remote

About the Role

You are a Data Engineer, who is passionate about writing beautiful code and building great products. You have an intuitive sense of the right tools and frameworks to use to solve a given problem. You are not afraid to traverse the entire spectrum of the development process from writing code and testing to deploying and managing your systems in production. You are smart but know that there is no substitute for hard work. You have good communication skills, a ‘can do’ entrepreneurial attitude, and a team-oriented mindset.

Key Responsibilities

• Design and build data transformations efficiently and reliably for different purposes (e.g. reporting, growth analysis, multi-dimensional analysis)

• Design and implement reliable, scalable, robust and extensible big data systems that support core products and business

• Establish strong engineering design standards and best practices for both technical and non-technical stakeholders

Required Qualifications and Must-Have Skills

• BS/MS degree in Computer Science or related technical field or equivalent practical experience

• Experience in the Big Data technologies (Hadoop, M/R, Hive, Spark, Flink, Metastore, Presto, Kafka etc.)

• Experience with performing data analysis, data ingestion and data integration

• Experience with ETL (Extraction, Transformation & Loading) and architecting data systems

• Experience with schema design, data modeling and SQL queries

• Hands-on experience using modern AI coding assistants (e.g., Claude Code, Windsurf, or equivalent) to design, implement, and optimize data pipelines and large-scale data processing systems

• Passionate and self-motivated about technologies in the Big Data area

Nice to Have Skills

• Experience with Django framework

• Exposure to AWS

Interpersonal Attributes

• You can work independently as well as part of a team

• You take ownership of projects and drive them to conclusion

• You’re a good communicator and are capable of not just doing the work, but teaching others and explaining the “why” behind complicated technical decisions

• You can present your architecture and designs to cross teams

• You aren’t afraid to roll up your sleeves: This role will evolve over time, and we’ll want you to evolve with it!

Base Salary Range: $179,400.00 - $263,120.00. The base salary range represents the anticipated low and high end of the base salary range for this position. Actual salaries may vary and may be above or below the range based on various factors, including but not limited to work location and experience. The base salary is one component of 6sense’s total compensation package for this position. Other compensation may include a bonus program or commission plan, and stock options if approved by 6sense’s board. In addition, 6sense provides a variety of benefits, including generous health insurance coverage, life, and disability insurance, a 401K employer matching program, paid holidays, self-care days, and paid time off (PTO). #Li-remote

Notice of Collection and Use of Personal Information for California Residents: California Recruitment Privacy Notice and Policy

Role Overview

ID.me is seeking a Software Development Engineer III to join the Data Acquisition & Normalization team. This team is responsible for building and operating the integrations that power the Identity Trust Graph — acquiring, normalizing, and refreshing identity attributes from authoritative and commercial sources.

In this role, you will contribute to building and maintaining connectors, data pipelines, and normalization services that ensure ID.me delivers reliable, real-time validation of identity attributes at internet scale. You will work alongside experienced engineers and partner with Product Managers from the Persons and Organizations teams to help translate validation contracts into working integrations.

This position is based in our Mountain View, CA office, 5 days per week.

Key Responsibilities

• Build and maintain connectors to government registries, telcos, licensing authorities, and commercial data providers.
• Standardize and reconcile heterogeneous data formats into clean schemas usable by the Identity Trust Graph.
• Monitor and help resolve upstream source changes; contribute to retries, fallbacks, and error handling to improve pipeline reliability.
• Contribute to the Attribute Validation Service (AVS) by adding trusted data that validates identity attributes against sources of record.
• Help deliver clean and validated attribute data to downstream consumers including Wallet, Fraud, and Domains.
• Assist in reporting coverage and freshness metrics to Product, Ops, and Analytics stakeholders.
• Handle sensitive data in accordance with NIST, ISO 27001, and FedRAMP standards.
• Write high-quality, maintainable, and well-tested code, including automated tests and observability instrumentation.
• Participate in system design discussions, code reviews, and technical documentation to support team alignment.

Key Success Metrics

• Attribute coverage and freshness SLA attainment.
• Connector uptime and reliability.
• Validation latency and success rates.
• MTTR (mean time to resolution) for broken integrations.
• Cost efficiency per validation event.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience).
• 4+ years of experience developing web applications using OOP languages such as Java, Ruby, JavaScript, TypeScript, Go, Python, Rust, or C++.
• Exposure to data acquisition or integration work, including APIs, screen scraping, ETL, or normalization pipelines.
• Experience building systems in Docker, Kubernetes or Nomad and services in a containerized, cloud-based, infrastructure-as-code driven ecosystem such as GCP.
• Ability to deliver features end to end, including automated test coverage, observability, monitoring, and documentation.
• Ability to communicate technical tradeoffs clearly and work collaboratively within a team.
• Proficiency and strong interest in AI-assisted development tools (e.g., Claude Code or Codex) to accelerate delivery and code quality.

Preferred Qualifications

• Familiarity with operating data pipelines with reliability and SLA requirements.
• Understanding of distributed systems concepts, caching, asynchronous processing, and cloud-native patterns.
• Exposure to authentication and authorization standards (OAuth2, OIDC, JWT, or custom schemes).
• Familiarity with identity and credential verification systems, including data validation, proofing, or trust scoring.
• Exposure to event-driven architectures (Kafka, SNS/SQS) and patterns for decoupled service communication.
• Experience with cloud infrastructure (AWS, GCP, or Azure), including containerization and deployment pipelines.
• Familiarity with observability, monitoring, and incident response best practices.
• Awareness of compliance and security requirements for sensitive data (NIST, FedRAMP, ISO 27001).
• Bonus: Exposure to FinTech, identity, or data aggregation companies (e.g., Plaid, Yodlee, Envestnet).

Role Overview

ID.me is seeking a Software Development Engineer III to join the Credential API team and contribute to the design and development of our credentialing platform — the API that issues, retrieves, and manages validated credential bundles (e.g., verified passport, driver's license, validated domain, verified face) for both people and organizations.

In this role, you will work on backend services and APIs that underpin ID.me's identity trust layer, collaborating with identity, verification, and platform teams. You will contribute to secure, scalable, and high-performance systems that enable the interoperability and integrity of digital credentials used by millions of users and trusted partners.

This position will be based full-time in our Mountain View, CA office.

Key Responsibilities

• Contribute to the implementation of the Credential API and its core services that issue, fetch, and manage credential attribute bundles for entities such as Person or Organization.
• Build and maintain RESTful and GraphQL endpoints that meet standards for reliability, latency, and security, integrating with both internal and external systems.
• Develop and maintain data models and storage patterns to represent credential provenance and relationships across relational and graph databases.
• Implement credential lifecycle flows — including creation, validation, renewal, and revocation — integrated with ID.me's identity verification and attribute validation systems.
• Ensure the security and privacy of credential data through authentication, authorization, encryption, and audit practices.
• Collaborate with Platform, Identity, Security, and Partner Engineering teams to deliver end-to-end features and integrations.
• Write high-quality, maintainable, and well-tested code, including automated tests and observability instrumentation.
• Participate in system design discussions, code reviews, and technical documentation to drive clarity and alignment across teams.
• Optimize performance, scalability, and reliability for credential services in production environments.
• Stay current on emerging identity and credentialing standards (e.g., Verifiable Credentials, Decentralized Identifiers, OIDC extensions) and bring new ideas into the product.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience).
• 4+ years of experience developing web applications using OOP languages such as Java, Ruby, JavaScript, TypeScript, Go, Python, Rust, or C++.
• Experience building systems and services in a containerized, cloud-based, infrastructure-as-code driven ecosystem.
• Exposure to GCP utilizing Docker, Kubernetes, or Nomad.
• Proven ability to deliver features end to end, including automated test coverage, observability, monitoring, and documentation.
• Ability to communicate technical tradeoffs clearly and work collaboratively within a team.
• Proficiency with AI-assisted development tools (e.g., GitHub Copilot, Cursor) to accelerate delivery and code quality.

Preferred Qualifications

• Familiarity with building and consuming REST or GraphQL APIs in production environments.
• Experience with relational databases (e.g., PostgreSQL) and exposure to NoSQL or graph data stores.
• Understanding of distributed systems concepts, caching, asynchronous processing, and cloud-native patterns.
• Exposure to authentication and authorization standards (OAuth2, OIDC, JWT, or custom schemes).
• Familiarity with identity and credential verification systems, including data validation, proofing, or trust scoring.
• Experience with cloud infrastructure (AWS, GCP, or Azure), including containerization and deployment pipelines.
• Exposure to event-driven architectures (Kafka, SNS/SQS) and patterns for decoupled service communication.
• Familiarity with digital credential and identity standards (e.g., Verifiable Credentials, Decentralized Identifiers, W3C DID specs).
• Experience in regulated or high-assurance domains (government, financial, or healthcare systems) is a plus.

Role Overview

ID.me is seeking a Staff Software Development Engineer to join the Person Resource team and design and build the core services that define and manage a person's identity within our platform. This includes ownership of the data models, APIs, and systems responsible for person creation, attributes, and profiles.

As a Staff Engineer, you will play a key role in architecting and scaling the Person platform to ensure it is secure, consistent, and performant across ID.me's ecosystem. You'll design APIs and services that serve as the source of truth for personal data, working across identity, verification, and platform teams to deliver a scalable and high-performance API that enables the interoperability and integrity of digital credentials used by millions of users and trusted partners.

This position will be based full-time in either our McLean, VA or Mountain View, CA office.

Key Responsibilities

• Design and implement Person Services, managing attribute bundles and trust for the Person entity.
• Build RESTful and GraphQL endpoints that meet strict standards for reliability, latency, and security, and integrate seamlessly with both internal and external systems.
• Develop robust data models and storage patterns to represent provenance and relationships across relational and graph databases.
• Implement credential lifecycle flows — including creation, validation, renewal, and revocation — integrated with ID.me's identity verification and attribute validation systems.
• Ensure the security and privacy of Person data through strong authentication, authorization, encryption, and audit practices.
• Collaborate closely with Platform, Identity, Security, and Partner Engineering teams to deliver end-to-end features and integrations.
• Write high-quality, maintainable, and well-tested code, including automated tests and observability instrumentation.
• Contribute to system design discussions, code reviews, and technical documentation to drive clarity and alignment across teams.
• Continuously optimize performance, scalability, and reliability for Person services in production environments.
• Mentor and support senior and mid-level engineers, helping grow technical depth and team capability.
• Stay current on emerging identity and credentialing standards (e.g., Verifiable Credentials, Decentralized Identifiers, OIDC extensions) and bring new ideas into the product.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience).
• 8+ years of professional experience developing backend services and APIs in production environments.
• 8+ years of experience in at least one backend language (Python, Go, or Java) and with modern frameworks.

Preferred Qualifications

• Demonstrated expertise in building and operating public-facing REST or GraphQL APIs at scale.
• Deep experience with relational databases (e.g., PostgreSQL) and NoSQL or graph data stores.
• Solid understanding of distributed systems concepts, caching, asynchronous processing, and cloud-native patterns.
• Experience implementing authentication and authorization (OAuth2, OIDC, JWT, or custom schemes).
• Proven ability to design, document, and evolve APIs used by multiple internal and external consumers.
• Familiarity with identity and credential verification systems, including data validation, proofing, or trust scoring.
• Experience with cloud infrastructure (AWS, GCP, or Azure), including containerization and deployment pipelines.
• Knowledge of event-driven architectures (Kafka, SNS/SQS) and patterns for decoupled service communication.
• Exposure to digital credential and identity standards (e.g., Verifiable Credentials, Decentralized Identifiers, W3C DID specs).
• Experience with API gateway technologies (e.g., Kong, Apigee, AWS API Gateway).
• Strong debugging and performance optimization skills in complex production systems.
• Contributions to open-source backend or identity-related projects are a plus.
• Experience in regulated or high-assurance domains (government, financial, or healthcare systems) is advantageous.

OPEN POSITION ANNOUNCEMENT!

Data Engineer

Open until filled.

Posted 4/29/2026 San Diego County – hybrid work schedule set by SDCP

About the role:  The San Diego Community Power (SDCP) is seeking a seasoned Data Engineer to join our growing team of analytics experts who will be responsible for designing, maintaining, expanding, and optimizing our data infrastructure for data collection, management, transformation, and access. A key priority of this role will be to assist in SDCP’s development of centralizing its data eco-system to allow for creation of pipelines that convert raw data into usable formats for data analysts and other data consumers to utilize. The Data Engineer will handle the core data aspects of software engineering and data science and utilize software engineering principles to develop algorithms that automate the data flow process. They will collaborate with data and system analysts to build machine learning and analytics infrastructure from testing to deployment. 

WHO IS SAN DIEGO COMMUNITY POWER?

San Diego Community Power is a community-driven, not-for-profit public agency providing cleaner energy to the San Diego region. Formed in 2019, Community Power is the second largest Community Choice Aggregator (CCA) in California, serving nearly 1 million customer accounts across its member agencies: the Cities of San Diego, Chula Vista, Encinitas, Imperial Beach, La Mesa and National City, as well as the unincorporated areas of San Diego County.  

OUR HISTORY

San Diego Community Power was formed in 2019 as a public, not-for-profit community choice aggregator (CCA) in the San Diego region. We began electric service in 2021 and serve five member agencies: San Diego, Chula Vista, Encinitas, La Mesa and Imperial Beach, County of San Diego, and National City. SDCP was formed to bring local control and customer choice to San Diego while also providing clean and renewable energy at competitive rates. By the end of 2023, SDCP will provide electricity for nearly half the electric load in San Diego Gas and Electric’s service territory and will be the second largest CCA in California. For more information, please visit SDCommunityPower.org.

COMMITMENT TO DIVERSITY

At SDCP, we value diversity and are committed to creating an inclusive environment for all employees. We represent a diverse customer base and hope to hire employees that reflect our communities. We provide equal employment opportunities to all applicants for employment and prohibit discrimination and harassment of any type 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. 

ESSENTIAL DUTIES AND PRIMARY RESPONSIBILITES

• Building and maintaining a centralized cloud-based data infrastructure for optimal extraction, transformation, and loading of data from a wide variety of sources. 
• Assemble large, complex data sets that meet functional/non-functional business requirements. 
• Developing data tools and APIs for data analysis. 
• Deploying and monitoring machine learning algorithms and statistical methods in production environments to solve organizational needs. 
• Ensuring data accessibility and security and implementing company data policies regarding data privacy and confidentiality. 
• Improving data systems reliability, speed, and performance. 
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer trends, operational efficiency, and other key business performance metrics. 
• Collaborating with other internal teams, data analysts, and other stakeholders to understand and optimize how data can be leveraged to meet business needs. 
• Assist in drafting data and analytics’ solicitations and in the selection of consultants. 
• Assist with drafting staff reports and presentations for Board and Committee meetings. 
• Performs other related duties and responsibilities as required. 

MINIMUM KNOWLEDGE, SKILLS, AND ABILITES

• Advance working knowledge of SQL, experience working with relational databases, query authoring (SQL) and working familiarity with various databases. 
• Demonstrated experience in developing API and integrations to support analytics in cloud environment. 
• Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets. 

• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. 
• Strong analytic skills related to working with unstructured datasets. 
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management. 
• A successful history of manipulating, processing, and extracting value from large, disconnected datasets. 
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores. 
• Good understanding of data architecture, data design, data warehousing and data modeling concepts. 
• Strong project management and organizational skills. 
• Experience supporting and working with cross-functional teams in a dynamic environment. 

PREFERRED KNOWLEDGE, SKILLS, AND ABILITES

• Experience in the energy sector and/or supporting the implementation of programs funded by California state agencies (e.g., California Public Utilities Commission, California Energy Commission, California Air Resources Board).
• Ability to strongly represent the organization in various professional engagement settings from local to national convenings (conferences, workshops, executive meetings, etc.).

PREFERRED QUALIFICATIONS, EDUCATION AND EXPERIENCE

Minimum of two (2) to three (3) years of professional experience in a Data Engineer role, preferably in the energy industry with a graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. The candidate should also have experience using the following software/tools:

• Experience with big data tools: Hadoop, Spark, PowerBI, Kafka, etc.
• Experience with AWS, Azure and Google Cloud services.
• Experience with relational SQL and NoSQL databases.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with open-source technologies: Python, Pytorch, Flask, Tensorflow or Keras
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Java, C++ etc.
• Experience with batch, micro-batching and real-time data ingestion methodologies.
• Experience with GitHub or similar code repositories

WORK ENVIROMENT & CONDITIONS

Prolonged periods sitting at a desk and working on a computer. The position requires occasional carrying, lifting and/or moving objects up to 25 pounds. Occasional local travel required and reliable transportation to be able to attend SDCP events, meetings, and workshops as needed is expected. At SDCP we work in the communities we serve and in the office. SDCP works to ensure a safe and healthy workplace for employees and in our communities. SDCP requires employees to be fully vaccinated for COVID-19. SDCP is an agency required to adopt and promulgate a Conflict-of-Interest Code (“COI”). The COI code requires employees in designated positions, including those identified under the interim disclosure process to file a Statement of Economic Interests (Form 700) on an annual basis. A Successful candidate accepting this position may be required to file Conflict of Interest forms subject to the regulations of the Fair Political Practices Commission.

COMPENSATION: 

Salary Range: The position salary range is: $84,900 - $110,400; with exact compensation to be determined by SDCP, depending upon experience. 

Benefits: Standard benefits package including but not limited to:

Insurance: SDCP offers group health benefits, including medical, vision, and dental insurance, for eligible FT employees. Also provided is a $100,000 Life & AD&D policy, STD and LTD coverage that is 100% paid by SDCP.

Retirement: SDCP offers a 457(b) plan for employee contributions and contributes 10% of eligible compensation to the employee’s Money Purchase Plan.

Paid Time Off: 11 holidays per year + paid winter holiday (between 12/24-12/31), 160 hours of accrued paid time off per year (increases with time in service), and 96 hours per year of accrued paid sick leave.

This job description may not be inclusive of all assigned duties, responsibilities, or aspects of the job described, and may be amended at the discretion of SDCP as needed. 

Who We Are:

Inversion builds advanced reentry systems to deliver next-generation capabilities from space.
 
Our mission is to make Earth radically more accessible by turning Low-Earth Orbit into an on-demand logistics domain. We see space not as a destination, but as a platform — one that unlocks unprecedented speed and global reach.
 
Our spacecraft are designed to deliver payloads anywhere on Earth in under an hour, operating through extreme reentry conditions and landing with high precision. These systems open the door to new ways of testing, delivering, and operating at hypersonic speeds.
 
Inherently dual-use, our technology is built to meet urgent national security needs while laying the groundwork for future commercial applications. Backed by leading investors including Y Combinator, Spark Capital, and Lockheed Martin Ventures, and working with partners such as the U.S. Space Force and NASA, Inversion is pushing the boundaries of what’s possible in space-based defense and logistics.

About the Role

As a Senior Test and Automation Engineer at Inversion, you will work as part of the simulation team to build, test, maintain, and develop the automated hardware systems that support the simulation and test environments for our flight systems. The simulation team is responsible for ensuring that flight software and flight hardware can be continuously integrated and tested under realistic flight conditions. You will play a key role in the automation of electrical ground support equipment (EGSE) and hardware-in-the-loop (HIL) test benches that will enable fast, repeatable development and deployment workflows across the engineering stack. Your work will empower Inversion’s engineering teams to iterate rapidly throughout the development life cycle and will strengthen Inversion’s ability to put our products into the hands of our customers with unprecedented speed and agility.

What You'll Do

• Automate provisioning, deployment, execution, operation, and logging tasks to optimize resource utilization and allocation
• Develop emulators for flight hardware to support hardware-in-the-loop (HIL) testing
• Install and maintain servers, electrical ground support equipment (EGSE), and hardware-in-the-loop (HIL) test benches to support simulation workflows
• Perform preventative maintenance and troubleshooting to maximize simulation system availability
• Calibrate equipment to ensure simulation system performance
• Contribute to the design and development of a simulation system capable of automatically provisioning and deploying resources to support simulation workflows

Required Qualifications

• 6+ years of professional experience in testing and automation of electrical ground support equipment (EGSE) and hardware-in-the-loop (HIL) systems
• Proficiency in one or more scripting languages (Python, Lua, Bash, PowerShell, etc.)
• Proficiency in one or more embedded languages (C/C++, Rust, etc.)
• Proficiency in the integration and testing of mission- and safety-critical electronics
• Experience with Linux-based systems

Desired Qualifications

• Experience with modern DevOps practices
• Experience with async and multithreaded architectures
• Experience with data acquisition and logging
• Familiarity with time-series databases (InfluxDB, QuestDB, TimescaleDB, Prometheus, etc.)
• Familiarity with message-oriented middleware (NATS, Apache Kafka, RabbitMQ, etc.)
• Familiarity with containerization (Docker, Docker Compose, etc.)
• Familiarity with system observability tools (Prometheus, Grafana, ELK, etc.)

Our office headquarters is located in Playa Vista, CA. This position requires in office presence.

_{The California annual base salary for this role is currently $137,000 - $193,000.  Pay Grades are determined by role, level, location, and alignment with market data.  Individual pay will be determined on a case-by-case basis and may vary based on the following considerations: interviews and an assessment of several factors that are unique to each candidate, job-related skills, relevant education and experience, certifications, abilities of the candidate and internal equity.} 

Who We Are:

Inversion builds advanced reentry systems to deliver next-generation capabilities from space.
 
Our mission is to make Earth radically more accessible by turning Low-Earth Orbit into an on-demand logistics domain. We see space not as a destination, but as a platform — one that unlocks unprecedented speed and global reach.
 
Our spacecraft are designed to deliver payloads anywhere on Earth in under an hour, operating through extreme reentry conditions and landing with high precision. These systems open the door to new ways of testing, delivering, and operating at hypersonic speeds.
 
Inherently dual-use, our technology is built to meet urgent national security needs while laying the groundwork for future commercial applications. Backed by leading investors including Y Combinator, Spark Capital, and Lockheed Martin Ventures, and working with partners such as the U.S. Space Force and NASA, Inversion is pushing the boundaries of what’s possible in space-based defense and logistics.

About the Role

As a Senior Back-end Engineer at Inversion, you will work as part of the simulation team to design, develop, and maintain the architecture and server-side logic of the applications that support the simulation and test environments for our flight systems. The simulation team is responsible for ensuring that flight software and flight hardware can be continuously integrated and tested under realistic flight conditions. You will play a key role in the design and development of data management and self-service tools that will enable fast, repeatable development and deployment workflows across the engineering stack. Your work will empower Inversion’s engineering teams to iterate rapidly throughout the development life cycle and will strengthen Inversion’s ability to put our products into the hands of our customers with unprecedented speed and agility.

What You'll Do

• Design, deploy, and maintain the server-side logic and infrastructure of the applications that support simulation workflows, including high-performance computing (HPC), software-in-the-loop (SIL) testing, and hardware-in-the-loop (HIL) testing
• Select a back-end tech stack that ensures the performance and scalability of our applications
• Design and implement a back-end architecture that strikes the right balance between simplicity and flexibility
• Design and develop databases architectures and data pipelines to meet configuration and data management needs
• Leverage self-documenting API tools and technologies to develop robust and efficient APIs
• Leverage modern web frameworks to develop server-side logic
• Work with front-end engineers to integrate the front-end with the back-end and deliver a smooth user experience (UX)
• Contribute to the design and development of a simulation system capable of automatically provisioning and deploying resources to support simulation workflows

Required Qualifications

Candidates must meet all of the following qualifications to be considered for this position:

• 6+ years of professional experience in back-end or full-stack development
• Expertise in back-end engineering and best practices
• Proficiency in one or more scripting languages (Python, Lua, Bash, PowerShell, etc.)
• Experience with Linux-based systems
• Experience with modern DevOps practices
• Experience with one or more back-end architectures (monolithic, modular, serverless, event-based, microservices, etc.)
• Experience with one or more API architectures (REST, GraphQL, gRPC, WebSockets, Webhooks, etc.)
• Experience with one or more database systems (MySQL, Oracle, MongoDB, DynamoDB,  InfluxDB, etc.)
• Experience with cloud computing platforms (AWS, Azure, GCP, OpenStack, CloudStack, etc.)

The ideal candidate will also meet one of the following qualifications:

• Expertise in database administration for both SQL and NoSQL databases
• Expertise in SaaS/PaaS development
• Expertise in network administration

Desired Qualifications

• Extensive experience with Python and Python-based web frameworks (Django, Flask, Quart, FastAPI, etc.)
• Extensive experience with C/C++ or Rust
• Experience with async and multithreaded architectures
• Experience with time-series databases (InfluxDB, QuestDB, TimescaleDB, Prometheus, etc.)
• Experience with message-oriented middleware (NATS, Apache Kafka, RabbitMQ, etc.)
• Familiarity with one or more front-end JS frameworks (React, Angular, etc.)
• Familiarity with one or more open-source cloud computing platforms (OpenStack, CloudStack, etc.)
• Familiarity with containerization (Docker, Docker Compose, etc.) and orchestration (Kubernetes, Docker Swarm, etc.)
• Familiarity with system observability tools (Prometheus, Grafana, ELK, etc.)

Our office headquarters is located in Playa Vista, CA. This position requires in office presence.

_{The California annual base salary for this role is currently $139,000 - $201,000.  Pay Grades are determined by role, level, location, and alignment with market data.  Individual pay will be determined on a case-by-case basis and may vary based on the following considerations: interviews and an assessment of several factors that are unique to each candidate, job-related skills, relevant education and experience, certifications, abilities of the candidate and internal equity.} 

This role operates on a hybrid schedule requiring two days of in-office collaboration per week in our San Francisco office. 

About the Role:

Compensation & Benefits: 

At Taskrabbit, our approach to compensation is designed to be competitive, transparent, and equitable. Total compensation consists of base pay + bonus + benefits + perks.

The base pay range for this position is $150,000 - $200,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level.

About the Team: 

Relativity Space is on a mission to better connect humanity to space and the universe beyond our planet. With decades of experience scaling world-class technology organizations like Google, CEO Eric Schmidt is guiding Relativity into its next phase: advancing Terran R toward launch and building the foundation for long-term impact. 

The Data & AI organization at Relativity Space is a critical pillar supporting our work to build autonomous rocket factories and launch platforms. Our mission is to develop and integrate data engineering, machine learning, and AI technologies that provide actionable insights, automate decision-making, and drive efficiencies across our operations.

As a director, you’ll shape the strategies and technologies that power these systems. You will lead a cross-functional team focused on delivering high-performance data pipelines, building scalable AI models, and ensuring that AI-driven automation plays a central role in transforming operations from Earth to Mars

About the Role:

As the Director of Data & AI, you will be responsible for the strategic direction and technical leadership of our data and AI initiatives, which include:

• Data Engineering: Lead the design and implementation of scalable data architectures, including ETL pipelines, data modeling, data warehouse management, and reporting infrastructure, ensuring high-quality, actionable data across all systems.
• Data Platform: Oversee the development of a distributed data platform that supports mission-critical applications, enabling real-time data ingestion, access, and orchestration for test and launch and factory operations.
• Machine Learning & AI: Direct the design, development, and deployment of AI and machine learning models that leverage our data to drive automation, decision-making, and predictive analytics across the organization. Ensure these models are scalable, reliable, and move the needle on critical metrics for the company.
• Leadership & Mentorship: Lead, mentor, and grow a team of software engineers, data engineers and machine learning engineers. Create an environment that fosters innovation, continuous learning, and technical excellence while aligning goals with company objectives.
• Collaboration & Strategy: Partner with leadership and cross-functional users across the company to define the long-term strategy for data and AI initiatives, aligning the technical roadmap with company goals.

About You:

• Education: Degree in Computer Science.
• Experience: 10+ years of experience in software engineering, data engineering or machine learning, with at least 5 years in a leadership role, overseeing large-scale systems.
• AI & Machine Learning Expertise: Experience designing, building, and deploying AI models and machine learning systems, particularly in high-performance or mission-critical environments. Proficient in AI techniques including deep learning, reinforcement learning, and natural language processing.
• Foundational Machine Learning Knowledge: Understanding of core ML concepts. Experience with advanced models such as Transformers/LLMs, LSTM models, time-series forecasting, and predictive analytics for real-time decision-making and automation. Familiarity with the mathematical underpinnings of ML.
• AI Infrastructure Experience: Experience with building and scaling AI infrastructure, including deploying and managing machine learning models in production environments. Experience with agentic architectures (e.g., MCP).
• Data Engineering: Experience in building scalable data architectures, including ETL pipelines, data modeling, and analytics.
• Expertise with modern data tools and technologies (e.g., Kafka, Spark, SQL, NoSQL, data lakes).
• Cloud & Platform Development: Understanding of cloud platforms (AWS, GCP, etc.), containerization (Docker, Kubernetes), and orchestration for building and deploying services.
• Leadership & Strategy: Demonstrated ability to lead and mentor teams, build a strong technical culture, and drive organizational change.
• Experience in developing strategic roadmaps and managing cross-functional collaborations to align on company-wide data and AI objectives.

Nice to haves but not required:  

• Direct experience with aerospace or manufacturing

Travel:

• Occasional visits to Relativity Space facilities across the United States

About the Team:

Relativity Space is on a mission to better connect humanity to space and the universe beyond our planet. With decades of experience scaling world-class technology organizations like Google, CEO Eric Schmidt is guiding Relativity into its next phase: advancing Terran R toward launch and building the foundation for long-term impact. 

The Terrestrial Software team is building the foundation for an automated rocket factory and integrated launch platform. Their mission is to automate and streamline workflows across the entire lifecycle of Terran R, from raw material intake to launch operations and eventually manufacturing on Mars. Today, that means partnering directly with teams across design, materials, manufacturing, and test and launch to design, implement, and deploy end user enterprise-wide applications, industrial automation, data analytics infrastructure, and next-generation AI to solve real problems and accelerate progress. Long term, the team is laying the groundwork for a modular, scalable software platform that can power highly autonomous operations on Earth and beyond. This is a team for builders and thinkers who thrive on cross-functional impact and want to shape the digital backbone of our future in space.

About the Role:

Design, develop, and lead the creation of core data components of our factory and launch software platform, including:

• Data technology abstraction and API development.
• Analytics and reporting architectures.
• Data modeling, management, and development.
• Cloud and on-prem application / services / API development.

In this role, you will be responsible for driving the development of a distributed data platform spanning launch and factory components. You’ll design and create technologies enabling data ingress / egress for the launch vehicle, as well as core factory tools such as our Stargate printers. You'll make key tradeoff decisions, mentor junior engineers, build new systems and tooling, and recommend / drive high impact across existing systems.

About You:

• Degree in Computer Science, Computer Engineering, Electrical Engineering, or related field.
• 6+ years of experience implementing code level patterns to enable codebases and teams to scale, with 1+ years of experience leading data architectures at scale.
• 4+ years of experience leveraging an array of data technologies including one or many of the following: InfluxDB, MongoDB, Redis, PostgreSQL, Cassandra, Kafka, Spark, and more.
• 4+ years of experience with at least one of C++, Go, Python, C#, or Typescript.
• Familiarity with agile methodologies.
• Familiarity with containerization and deployment technologies like Kubernetes and Docker.

Nice to haves but not required: 

• Experience with AI technologies, including machine learning and related tools or frameworks.
• Demonstrated ability to create scalable architectures across an array of usage patterns and organizations.
• Demonstrated ability to learn, grow and mentor others to drive best practices and/or accelerate development lifecycles.
• Demonstrated ability to plan organizational roadmaps and hiring strategies.
• Familiarity with other modern languages like Go and Rust.

What You'll Do

You will be at the center of informing Zipline on the critical environmental conditions that our aircraft must fly in to achieve business goals, whilst owning the automated system that enforces those limits operationally to ensure flight safety and protecting an excellent and informed customer experience.  You will lead the team that counts the following among its core deliverables:

• Design and develop our automated weather monitoring systems to make real-time go/no-go decisions for missions, as well as forecast in-coming weather conditions that would require pausing deliveries; 
• Define the requirements on flyable weather conditions to achieve business performance goals that are achievable in the context of automated risk system performance;
• Set the pace on simulation- and real-world-based weather-related validation strategies, including performance of the weather system risk decisions, operations simulations to determine the role of the weather system on customer experience dynamics, and developing representative but tractable weather models in Zipline’s high fidelity flight simulation tools;
• Enable and maintain strong and unambiguous communication with customer, fulfilment and flight operations teams, setting expectations for the system uptime, on both seasonal and daily timescales
• Drive the development of ground- and air-based sensing to support the risk posture calculations in a scalable and cost-effective way

What You'll Bring

This is a leadership role on a team that is core to Zipline’s success, and is therefore not an entry level position. Success in this role will require a disciplined and first-principles approach, with a deep connection and understanding at the system and product levels.  You’ll be naturally curious and able to work seamlessly with individuals and teams both inside and outside of your core engineering / scientific discipline, as well as regulatory, operations and business partners.  Experience in many of the following areas are critical to your ability to contribute at the right level:

• You will have a minimum of 5+ years of industry experience, and either be a proven people leader or clearly ready to own and develop a small team (3-5 direct reports).
• Advanced proficiency with scientific python and libraries commonly used for data analysis, e.g., Pandas, Numpy, Scipy, and Matplotlib, XArray, NETCDF.  In addition, you’ll be able to learn new languages and libraries for use in daily work (eg. Rust, C++), and ideally have cloud-native experience with Kubernetes and/or AWS.
• Familiarity with geospatial and meteorological datasets, formats, and tools; in particular you’ll understand how to efficiently process large datasets across distributed systems and ideally have experience with kafka or other streaming data systems
• As well as a strong understanding of descriptive statistics, probability and linear algebra, you will have mastered a wide range of machine learning and statistical techniques, and developed an intuition for what tool to apply in every situation
• Adept at summarizing large datasets visually that make complex results understandable at a glance to different audiences.  You will be able to find creative ways to take the uncertainty of weather prediction and turn it into certainty for the business.
• Excellent understanding of meteorology and climatology, and an ability to communicate the underlying physics and their challenges to a broad audience
• You’ll be highly self-directed; able to drive a roadmap and ruthlessly prioritize, balancing a core roadmap against the emerging needs of a fast-scaling and complex system.  You’ll also be proven in setting the pace of a small team, striving to continuously improve the development tools and processes and help folks around you work smarter
• Experience with aircraft flight and aviation weather and regulation would be helpful, although you will work closely with other leaders of our flight sciences teams so a willingness to learn this rapidly will suffice.  An ability to manipulate the weather would be advantageous, but is not essential.

What Else You Need to Know  

This role is based out of our South San Francisco HQ with minimum of 5 days per week in office. Must be eligible to work in the US and travel globally as needed

The starting cash range for this role is $235,000 to $255,000. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, working location, and projected impact. The total compensation package for this role may also include: equity compensation; discretionary annual or performance bonuses; sales incentives; benefits such as medical, dental and vision insurance; paid time off; and more.

Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state, federal or local law or our other policies.

We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!

Why this role matters

We’re building the mapping infrastructure that powers every Zipline flight. Maps Platform engineers build the backbone that serves geographic data, features, and map-driven services to Zipline’s products and operators.

You’ll make map data fast, accurate, and reliable for both human workflows (map editors, operator dashboards, regulatory UIs) and autonomous systems (routing, onboard systems). This role mixes backend, data, platform engineering and user interface design with pragmatic production ownership.

Why this role is unique

• Own the foundation of flight intelligence. The systems you build directly power how aircraft understand and navigate the world.
• Massive data challenges. You’ll design pipelines that process and serve large-scale geospatial datasets with strict requirements for accuracy, consistency, and availability.
• End-to-end ownership. From raw data ingestion to production services, you’ll build systems that are critical to real-world operations.
• Cross-functional impact. Your work will be used across autonomy, routing, simulation, and operations.
• AI-accelerated engineering. We leverage modern AI and agentic workflows to increase engineering velocity while maintaining strong system rigor.

What you’ll bring

We care far more about how you approach problems than experience with any specific technology. Strong candidates typically have:

• Experience building and operating large-scale data pipelines
• A track record shipping reliable services and APIs
• Extreme ownership mindset with the ability to drive projects end-to-end
• Experience working with large datasets and designing reliable data processing logic
• Familiarity with data modeling, data quality, and validation in production systems
• Comfort working with cross-functional teams and integrating systems across domains
• Strong backend or distributed systems engineering fundamentals
• Experience with geospatial systems, mapping technologies, or GIS tooling is a plus, but not required.

Our current stack includes technologies such as Go, Python, PostgreSQL/PostGIS, Kafka, and AWS, but we value engineers who can learn quickly and focus on solving the right problems.

We also lean heavily into AI-assisted engineering workflows and are excited to work with engineers who use modern tools to amplify productivity while maintaining high standards for system design and data quality.

What Else You Need to Know   

About the Role

We’re building the systems that power Zipline operations end-to-end, giving us the ability to design faster, smarter workflows, connect data across the business, and remove the friction that slows teams down.  The Enterprise Systems team builds the software that connects manufacturing, supply chain, finance, inventory, hardware quality assurance, and field operations into a single operational nervous system. These systems directly shape how quickly and effectively Zipline can manufacture, test, deploy, and operate our global drone fleet.

Most companies adapt their operations to fit off-the-shelf enterprise software. At Zipline, we’re building our systems ourselves so the software can evolve with the business. Our philosophy is simple: business processes should inform system design, not the other way around. By owning these systems ourselves, we can rapidly iterate on workflows, automate complex operations, and continuously improve how the company operates as we scale.

Engineers on this team own the product and work directly with the end users who rely on these systems every day, from manufacturing and supply chain teams to field operators running our delivery network. This proximity to real operations allows engineers to identify problems first-hand, design and build solutions end-to-end, and deliver systems that have immediate impact across the company.

Why This Role Is Unique

Enterprise Systems at Zipline sits at the intersection of software and real-world operations. The systems this team builds determine how efficiently we manufacture aircraft, move inventory, maintain traceability, deploy assets, and support a growing global delivery network.

• Build ERP from scratch. You’ll design and build the core systems that power Zipline, instead of configuring third-party systems.
• Extreme ownership. Engineers own problems end-to-end: identifying operational pain points, designing solutions, building systems, deploying them to production, and driving adoption across the business.
• Embedded with real operations. Engineers work directly with manufacturing, supply chain, finance, and field operations teams to understand workflows firsthand and build systems that solve real problems.
• AI-accelerated engineering. We lean heavily into AI and agentic workflows, taking advantage of the latest capabilities to accelerate development. Engineers effectively leverage and orchestrate AI tooling to increase velocity, quality, and throughput while maintaining strong engineering rigor.

Hard Problems, Real Ownership

Most software roles focus on building isolated features or optimizing digital experiences — this role is different. You’ll build the operational nervous system of the company, owning core business problem spaces that enable Zipline to manufacture, source, scale, and operate its global drone fleet.  95% of the company will use the tools that you build.  

You will solve problems like:

• How do we scale our manufacturing systems and tooling to increase production rates by orders of magnitude without scaling labor costs exponentially?
• How do we plan, execute, and automate manufacturing and supply chain systems to support aggressive fleet growth and increasing operational complexity?
• How do we build a trusted, end-to-end traceability system that captures the full lifecycle of every part — from design to production to operation?
• How do we create a true single source of truth across systems so data is consistent, reliable, and never fragmented?
• How do we design platforms that scale with the business without becoming bottlenecks for critical operational workflows?

What We’re Looking For

We care far more about how you approach problems than about experience with any specific technology.  Strong candidates for this role typically have:

• Experience building and shipping production software systems
• Strong full-stack engineering fundamentals
• Ability to design scalable systems and services
• Comfort working directly with stakeholders to understand problems and define solutions
• Ownership mindset and the ability to drive projects end-to-end
• Interest in improving operational workflows and building systems that power real-world operations

Our current stack includes technologies such as Python, Go, React, gRPC, Kafka, PostgreSQL, AWS, Bazel, Grafana, and Honeycomb, but we value engineers who can learn new tools quickly and focus on solving the right problems.

We also lean heavily into AI-assisted and agentic engineering workflows, and we’re excited to work with engineers who are interested in using modern AI tooling to amplify their productivity while maintaining high standards for system design and code quality.

What Else You Need to Know   

The Commerce Platform team builds the commercial engine that makes that network a real business. We create the tools and integrations partners use to run their business with Zipline, the marketplace logic that connects demand to supply, and the financial infrastructure that ensures every transaction is correct and every dollar is traceable. This platform needs to scale across metros, countries, and verticals (restaurants, retail, and healthcare) handling millions of orders per day.

What you will own

You will own software across the full commercial stack, including:

• Merchant Portal - the web portal partners use to manage their Zipline business day to day
• Partner integrations - Point of Sale connectors, API integrations, and data feeds that connect merchant systems to the Zipline platform
• Marketplace Platform - internal tooling that controls how demand is prioritized, priced, and distributed across the network
• Billing Engine - the financial backbone that manages payments, commissions, settlements, and revenue flows across the marketplace
• Fulfillment apps - mobile and cloud applications for picking and loading execution at partner locations
• Customer support tooling - AI-powered support systems integrated with order, delivery, and billing infrastructure
• Serviceability & coverage tools - internal platforms for understanding and modeling where Zipline can serve customers

Hard Problems, Real Ownership

Most software roles optimize a single surface. The Commerce Platform spans consumer product, marketplace logic, partner tooling, fulfillment, and financial infrastructure.

You will work on problems like:

• How do we give merchant partners real-time operational visibility, self-serve onboarding, and financial clarity without fragmenting the system across verticals?
• How do we design marketplace policy controls that let operators safely change pricing, capacity allocation, and prioritization, with experimentation before production?
• How do we build a billing engine that traces every dollar from customer charge through partner payout across promotions, refunds, revenue shares, and multi-jurisdiction tax?
• How do we build AI-powered customer support that can actually take action, issuing refunds, applying credits, explaining delays using live mission data, rather than just surfacing information?
• How do we keep unit economics visible and margin protected as volume scales across partners, verticals, and geographies?

These systems are live and consequential. The work you do on them directly shapes the customer experience, partner success, and commercial performance of the network.

How we work

This team operates with high ownership, high trust, and a high technical bar. Engineers are expected to identify important problems, form a clear view of how the system should work, and drive solutions from concept through production.

We also expect engineers to use AI tooling effectively as a force multiplier across exploration, implementation, and debugging, while maintaining strong engineering rigor, judgment, and accountability.

What you will bring

You are likely a strong fit if you:

• have a track record of building and shipping production software across the full stack, from consumer-facing interfaces to backend services and data pipelines
• can hold both product instinct and systems judgment at the same time - you care about the user experience and the architecture that makes it reliable at scale
• understand marketplace dynamics: ordering flows, pricing logic, financial correctness, and the tradeoffs between them
• can simplify complexity, define durable abstractions, and improve the architecture around you
• thrive working across product boundaries (e.g. consumer, partner, internal tooling, and financial systems) without losing coherence
• want to shape architecture and product direction, not just implement scoped features

Our current stack includes Go, Python, React, gRPC, Kafka, PostgreSQL, AWS, Bazel, Grafana, and Honeycomb, but we value engineers who can learn new tools quickly and focus on solving the right problems.

We lean heavily into AI-assisted and agentic engineering workflows, and we're excited to work with engineers who use modern AI tooling to amplify their productivity while maintaining high standards for system design and code quality.

What Else You Need to Know   

What You'll Do

Responsibilities

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

Role Overview

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

Responsibilities

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

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

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

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

• Manage and provision AWS infrastructure using Terraform and Kubernetes.

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

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

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

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

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

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

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

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

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

Requirements

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

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

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

• Experience operating infrastructure on AWS at scale.

• Proficiency with Terraform, Kubernetes. 

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

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

• Excellent analytical, troubleshooting, and communication skills.

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

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