About the Position
At 6sense, the Post-Sales Solutions Architect is a critical partner to our Strategic and Enterprise Customer Success Management teams, focused exclusively on supporting existing customers throughout their journey with us. This role blends deep technical acumen with strong customer engagement skills to lead architecture design, optimize platform adoption, and ensure our customers realize the full value of their investment.

You'll work directly with our largest and most complex accounts, helping them integrate and scale their use of 6sense by designing innovative solutions, advising on best practices, and serving as a trusted technical advisor post-sale. This is a high-impact, customer-facing role designed to drive retention, value delivery, and long-term growth.

Key Responsibilities

• Partner with Strategic and Enterprise CSMs to lead post-sale technical activities, including product enablement, demos, proof-of-value workshops, and advanced use case development.
• Facilitate architecture design sessions and platform integration planning, aligning customer objectives to 6sense solutions.
• Document business and technical requirements, and clearly communicate the business value of 6sense capabilities to technical and executive stakeholders.
• Serve as a technical liaison between Customer Success, Product, and Delivery teams to ensure a seamless customer experience.
• Lead solution design for multi-product implementations, systems integrations, and data architecture within existing customer environments.
• Proactively identify technical optimization opportunities to improve customer outcomes and platform ROI.
• Contribute feedback to product management and engineering teams, and help evolve internal tooling and processes for customer delivery.
• Build reports and dashboards that help customers track progress, optimize performance, and make data-driven decisions.

Requirements

• 5+ years of experience in a customer-facing technical role, such as Solutions Architect, Technical Account Manager, or Pre/Post-Sales Engineer.
• Deep technical expertise in solution architecture, data integration, and enterprise software.
• Strong interpersonal and communication skills; able to build trust and articulate complex solutions to both technical and business audiences.
• Experience with CRM systems such as Salesforce, Microsoft Dynamics, or SAP.
• Familiarity with marketing automation tools (Marketo, Eloqua, Pardot, Hubspot) and Customer Data Platforms (Adobe Experience Platform, Segment, etc.).
• Experience with ETL/ELT tools (Informatica, DataStage, Netezza) and data visualization tools (Tableau, Looker, Power BI).
• Working knowledge of cloud infrastructure (AWS, Azure, GCP), REST/SOAP APIs, and integration platforms (MuleSoft, Zapier, Dell Boomi).
• Proficiency in programming/scripting languages such as Python, Java, or C++.

Nice to Haves

• Strong problem-solving skills with a customer-first mindset.
• A track record of influencing customer outcomes through consultative engagement.
• Experience supporting SaaS adoption, expansion, or renewal in large-scale enterprise accounts.
• Ability to prioritize and execute across multiple customer projects while managing stakeholder expectations.

Base Salary Range: $139,035.00 - $180,918.00. 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

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

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain.

ABOUT THE JOB

We are looking for a Product Operations Engineer to join our rapidly growing team in Costa Mesa, CA. The Product Operations Engineer will help operate, maintain, and update a classified networking capability that provides operational Space Domain Awareness data for the United States Space Force. Anduril employs networking infrastructure to support global operations of customer sites. You'll be collaborating with other Product Operations team members, Mission Operations Engineer, Software Engineer, and TPMs to directly support end-users of an operational system.

The Product Operations Team will be the first point of contact with end-users at various locations worldwide. You'll also be responsible for providing clear and concise documentation to assist with training remote non-network technical staff for routine tasks such as device configuration, basic troubleshooting, and workflow optimization. This role will work hand in hand with our Mission Software Engineering team to deploy new capabilities to an operational system during future integrations.

This role is directly tied to an ongoing, funded program within Anduril’s Space Business Line. The program requires building and fielding a resilient, software-defined, distributed mesh networking layer for critical Space Domain Awareness data. We work with mission partners and operators to deploy reliable and robust capabilities on operationally-relevant fielding timelines to meet complex challenges across the DOD and IC.

WHAT YOU'LL DO

• Become a part of a growing team of Product Engineers supporting a new operational system provided to a DoD customer, helping collaboratively shape the future!
• Develop, design, and establish processes, workflow automations, and tooling capabilities to support end-users of a globally distributed system from a secure Anduril-owned facility
• Serve as a systems administration SME, especially with Linux systems and configurations
• Work with cross-functional teams to ensure operational readiness of newly deployed locations or features and provide persistent monitoring of the existing capability baseline
• Provide real time response, rapid resolution, and root causing complex issues across code and backing infrastructure within an air-gapped network
• Maximize operational capability efficiency through ongoing monitoring and troubleshooting with little supervision and the ability to escalate when appropriate
• Provide 24x7 on-call support as a part of a larger team supporting the Space Domain Awareness effort on behalf of the United States Space Force
• Build and maintain infrastructure as code (Terraform, Ansible) and implement comprehensive observability solutions (monitoring, logging, alerting, tracing) for Linux-based distributed systems
• Maximize operational capability efficiency through proactive automation, system optimization, ongoing monitoring and troubleshooting with little supervision and the ability to escalate when appropriate

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Experience with device configuration, basic troubleshooting, and incident triage
• Strong communication and documentation skills
• Strong initiative in managing your own work in isolated secure environments.
• Experience with Bash, Python, Ansible, Terraform, etc
• Comfort with communicating complex thoughts simply across various methods of communication and tools
• Enthusiasm towards transforming US and allied military capabilities with advanced technology in space environments
• Little to no travel required, but opportunities to travel to end-user locations will be provided
• Hands-on experience with observability tools and practices: implementing monitoring, logging, alerting, and tracing solutions (e.g., Prometheus, Grafana, ELK stack)
• Experience with Linux system administration, containerization (Docker/Kubernetes), and managing distributed systems
• Understanding of software development practices including version control (Git), code review, testing, and agile methodologies

PREFERRED QUALIFICATIONS

• Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance
• Experience with software-defined networking and distributed mesh networking. Extensive technical knowledge of current network hardware, protocols, and Internet standards, including routers, switches (layer 2/3), firewalls, remote access, DNS, BGP, OSPF, VLAN, VRF, QoS, and VPN
• Experience with COMSEC and HAIPE Complaint In-line type-1 network encryptors
• Networking certifications like CCNA
• Familiarity with Space Domain Awareness data and systems
• Knowledge of Anduril’s Lattice OS and its capabilities
• Experience with agile development methodologies and DevOps practices
• Experience with database administration, performance tuning, and data pipeline optimization
• Experience with cloud-native technologies and distributed systems architecture patterns
• Experience building and maintaining containerized applications using Kubernetes and Docker in production environments
• Proficiency in additional programming languages (Go, Rust, Java) and experience contributing to open-source projects

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain.

ABOUT THE JOB

We are looking for a Senior Product Operations Engineer to join our rapidly growing team in Costa Mesa, CA. The Senior Product Operations Engineer will help operate, maintain, and update a classified networking capability that provides operational Space Domain Awareness data for the United States Space Force. Anduril employs networking infrastructure to support global operations of customer sites. You'll be collaborating with other Product Operations team members, Mission Operations Engineer, Software Engineer, and TPMs to directly support end-users of an operational system.

The Product Operations Team will be the first point of contact with end-users at various locations worldwide. You'll also be responsible for providing clear and concise documentation to assist with training remote non-network technical staff for routine tasks such as device configuration, basic troubleshooting, and workflow optimization. This role will work hand in hand with our Mission Software Engineering team to deploy new capabilities to an operational system during future integrations.

This role is directly tied to an ongoing, funded program within Anduril’s Space Business Line. The program requires building and fielding a resilient, software-defined, distributed mesh networking layer for critical Space Domain Awareness data. We work with mission partners and operators to deploy reliable and robust capabilities on operationally-relevant fielding timelines to meet complex challenges across the DOD and IC.

WHAT YOU'LL DO

• Become a part of a growing team of Product Engineers supporting a new operational system provided to a DoD customer, helping collaboratively shape the future!
• Develop, design, and establish processes, workflow automations, and tooling capabilities to support end-users of a globally distributed system from a secure Anduril-owned facility
• Serve as a systems administration SME, especially with Linux systems and configurations
• Work with cross-functional teams to ensure operational readiness of newly deployed locations or features and provide persistent monitoring of the existing capability baseline
• Provide real time response, rapid resolution, and root causing complex issues across code and backing infrastructure within an air-gapped network
• Maximize operational capability efficiency through ongoing monitoring and troubleshooting with little supervision and the ability to escalate when appropriate
• Provide 24x7 on-call support as a part of a larger team supporting the Space Domain Awareness effort on behalf of the United States Space Force
• Build and maintain infrastructure as code (Terraform, Ansible) and implement comprehensive observability solutions (monitoring, logging, alerting, tracing) for Linux-based distributed systems
• Maximize operational capability efficiency through proactive automation, system optimization, ongoing monitoring and troubleshooting with little supervision and the ability to escalate when appropriate

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Experience with device configuration, basic troubleshooting, and incident triage
• Strong communication and documentation skills
• Strong initiative in managing your own work in isolated secure environments.
• Experience with Bash, Python, Ansible, Terraform, etc
• Comfort with communicating complex thoughts simply across various methods of communication and tools
• Enthusiasm towards transforming US and allied military capabilities with advanced technology in space environments
• Little to no travel required, but opportunities to travel to end-user locations will be provided
• Hands-on experience with observability tools and practices: implementing monitoring, logging, alerting, and tracing solutions (e.g., Prometheus, Grafana, ELK stack)
• Experience with Linux system administration, containerization (Docker/Kubernetes), and managing distributed systems
• Understanding of software development practices including version control (Git), code review, testing, and agile methodologies

PREFERRED QUALIFICATIONS

• Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance
• Experience with software-defined networking and distributed mesh networking. Extensive technical knowledge of current network hardware, protocols, and Internet standards, including routers, switches (layer 2/3), firewalls, remote access, DNS, BGP, OSPF, VLAN, VRF, QoS, and VPN
• Experience with COMSEC and HAIPE Complaint In-line type-1 network encryptors
• Networking certifications like CCNA
• Familiarity with Space Domain Awareness data and systems
• Knowledge of Anduril’s Lattice OS and its capabilities
• Experience with agile development methodologies and DevOps practices
• Experience with database administration, performance tuning, and data pipeline optimization
• Experience with cloud-native technologies and distributed systems architecture patterns
• Experience building and maintaining containerized applications using Kubernetes and Docker in production environments
• Proficiency in additional programming languages (Go, Rust, Java) and experience contributing to open-source projects

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.

ABOUT THE TEAM 

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain.

ABOUT THE JOB

As a Senior Software Engineer on Space Ground Software, you will own the architecture and deployment of software solutions that support customer missions for space operations and mission management. As a Senior Software Engineer, you will develop modular capabilities to support the DoD and IC customers across the space domain. This will involve the architecture of the Space C2 system based on top of the Anduril Lattice software platform, to include infrastructure, algorithms, and integrations to support both orbital and ground systems. The Anduril Space C2 capability development will involve integration with legacy systems that have been part of our nation’s critical defense for decades as well as new space systems being added to the cache of orbital and ground-based capabilities.

We work with mission partners and operators to deploy reliable and robust capabilities on operationally-relevant fielding timelines to meet complex challenges across the DOD and IC.

WHAT YOU'LL DO

• Own the software solutions that are deployed to customers
• Own the development of Space C2 and Mission Management capabilities to enable delivery of end-to-end mission systems
• Integrate with legacy systems to unlock 21st-century capabilities
• Write code to improve products and scale the mission capability to different users more customers
• Collaborate across multiple teams to plan, build, and test complex functionality
• Create and analyze metrics that are leveraged for debugging and monitoring
• Triage issues, root cause failures, and coordinate next-steps
• Partner with end-users to turn needs into features while balancing user experience with engineering constraints

REQUIRED QUALIFICATIONS

• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics
• Ability to quickly understand and navigate complex systems and detailed requirements
• Capable of solving complex technical problems with little oversight
• Clear communication and organizational skills including documentation and training material
• Ideally 8+ years working with a variety of programming languages such as Java, Python, C++, Rust, Go, JavaScript, etc.
• Experience with Space C2 software systems and spacecraft operations
• A desire to work on critical software that has a real-world impact
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Experience with Go, Rust, or C++
• Experience with deployment tooling such as Kubernetes, OpenShift, or Helm
• Previous exposure to space ground hardware like sensors, radars, telescopes
• Previous exposure to space-related simulation and hardware integration
• A desire to work on critical software in the space domain
• Experience with existing space software standards and modular software services development

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain.

ABOUT THE JOB

As a Software Engineer on Space Ground Software, you will own the architecture and deployment of software solutions that support customer missions for space operations and mission management. As a Senior Software Engineer, you will develop modular capabilities to support the DoD and IC customers across the space domain. This will involve the architecture of the Space C2 system based on top of the Anduril Lattice software platform, to include infrastructure, algorithms, and integrations to support both orbital and ground systems. The Anduril Space C2 capability development will involve integration with legacy systems that have been part of our nation’s critical defense for decades as well as new space systems being added to the cache of orbital and ground-based capabilities.

We work with mission partners and operators to deploy reliable and robust capabilities on operationally-relevant fielding timelines to meet complex challenges across the DOD and IC.

WHAT YOU'LL DO

• Own the software solutions that are deployed to customers
• Own the development of Space C2 and Mission Management capabilities to enable delivery of end-to-end mission systems
• Integrate with legacy systems to unlock 21st-century capabilities
• Write code to improve products and scale the mission capability to different users more customers
• Collaborate across multiple teams to plan, build, and test complex functionality
• Create and analyze metrics that are leveraged for debugging and monitoring
• Triage issues, root cause failures, and coordinate next-steps
• Partner with end-users to turn needs into features while balancing user experience with engineering constraints

REQUIRED QUALIFICATIONS

• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics
• Ability to quickly understand and navigate complex systems and detailed requirements
• Capable of solving complex technical problems with little oversight
• Clear communication and organizational skills including documentation and training material
• 3+ years working with a variety of programming languages such as Java, Python, C++, Rust, Go, JavaScript, etc.
• Experience with Space C2 software systems and spacecraft operations
• A desire to work on critical software that has a real-world impact
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Experience with Go, Rust, or C++
• Experience with deployment tooling such as Kubernetes, OpenShift, or Helm
• Previous exposure to space ground hardware like sensors, radars, telescopes
• Previous exposure to space-related simulation and hardware integration
• A desire to work on critical software in the space domain
• Experience with existing space software standards and modular software services development

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

The opportunity 

The Autonomous Freight Systems team is a brand new, AI-first engineering team in San Francisco. This team will own Flexport’s client-facing rates platform and the self-serve freight booking experience—two of the highest-leverage surfaces in our Client App that dictate how clients see pricing and book freight without manual intervention.

As a Staff Engineer, you will be the technical anchor for our next-generation AI-powered rates platform. We aren't just building a UI; we are building AI agents that handle real logistics work: parsing complex rate sheets, managing pricing intelligence across ocean, air, and trucking, and making "Self-Serve" a reality for thousands of shippers. You will build the intelligence layer that allows clients to commit freight on technology alone, with no account executive and no operations touch.

This is a ground-floor opportunity to shape technical direction, set up a new codebase, and build the platform that moves Flexport from an assisted-sales model to a tech-run one for the long tail of our client base. You will partner with Pricing, Sales, Ops, and Design on hard domain problems and ship to the most-used client surfaces at the company.

You will

• Design and ship end-to-end AI agents that handle pricing intelligence and booking compliance without human oversight.
• Create the tooling and secure AI infrastructure required to expose internal logistics data to LLMs safely.
• Navigate the rapidly evolving landscape of agent patterns, RAG, and prompt engineering to solve problems that don’t have "Stack Overflow" answers yet.
• Build and launch products rapidly and incrementally: we ship to production dozens of times per day.
• Mentor and uplevel engineers across the team, fostering a culture of technical excellence.
• Partner with the Engineering Manager to define the team’s technical roadmap and hiring bar.

You should have

• LLM Fluency: Experience with agent patterns, RAG, and prompt engineering. You know what works in production versus what only looks good in a demo.
• Agentic Orchestration: Experience with workflow orchestration (e.g., Temporal) and building reliable systems around non-deterministic AI.
• Entrepreneurial Drive: You don't wait for a spec; you find the highest-leverage automation problems and design the AI-driven solution.
• Product Instincts: You can identify what is worth building, not just execute on a spec. You have a proven track record of building data-heavy applications where high-quality user interaction is the priority.
• Architecture Leadership: Demonstrated experience leading technical initiatives across multiple teams or systems, specifically in building unified interfaces that aggregate data from various backend systems.
• Technical Rigor: A love of simple, well-tested code that is easy to extend and hard to break, combined with experience building large-scale distributed systems.
• Technical Communication: The ability to convey technical ideas in common terms to business partners, product managers, and engineers alike.

It's a plus if you have

• Experience with elements of our tech stack: Java, Spring Boot, Ruby on Rails, React, AWS.
• Experience in logistics, supply chain, or freight technology.
• Experience building internal tools or operator-facing applications.
• A bias for action: When you see a problem, you solve it.

#LI-onsite

The Opportunity

This is a unique opportunity to join a new engineering team at the ground floor. As an SDE 1, you will learn from senior and staff level engineers while contributing to real production systems that power global trade. We are building Flexport’s client-facing rates platform and a new self-serve booking experience, moving the company from an assisted-sales model to a tech-run one.

You will help build the "front door" of our Client App: the interfaces and services that allow customers to see pricing and book shipments without manual intervention. This is an AI-first team where you will see firsthand how intelligent automation is applied to real-world logistics. If you are looking for a high-growth environment where you can see your code impact thousands of shipments across 112 countries, this is the team for you.

You Will

• Design, develop, test, deploy, and maintain systems that represent the real-world intricacies of global logistics and pricing logic.
• Work within an AI-integrated codebase, learning how to build and maintain services that support autonomous booking and intelligent quoting.
• Contribute to code reviews to maintain code quality, share knowledge, and learn from experienced mentors on the team.
• Collaborate with engineering, product, and design to translate complex business problems into elegant technical solutions.
• Build highly available, secure, and distributed services within a modern microservices architecture.
• Build and launch products rapidly and incrementally: we ship to production dozens of times per day.
• Ensure high-quality standards by incorporating metrics and monitoring into every service you touch.

You Should Have

• Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
• 1+ years of professional experience in software development with demonstrated coding skills: strong internship experience in a product-focused environment is highly valued.
• Proficiency in modern programming languages: specifically Java, Ruby, or TypeScript.
• Familiarity with technologies like databases, API development, and modern frontend frameworks like React.
• AI Curiosity: A strong interest in how AI and LLMs are transforming software development and a desire to learn how to build with these technologies.
• A self-starter attitude: You are curious, eager to learn, and when you see a problem, you look for a way to solve it.
• Product Curiosity: An interest in how users interact with software and a desire to understand the "why" behind the features you build.

It’s a Plus If You Have

• Experience with elements of our tech stack: Java, Spring Boot, Ruby on Rails, React, AWS.
• Experience using AI coding assistants to accelerate your development workflow.
• Ability to convey technical ideas in common terms to business stakeholders and product managers.
• Excellent written and verbal communication skills.

#LI-Onsite

The opportunity: 

We are building a new engineering team in San Francisco to own our client facing rates platform and the self-serve freight booking experience. These are two of the highest leverage surfaces in our Client App: how clients see pricing and how they book without manual intervention.

Rates sit at the center of every freight decision. You will lead the Autonomous Freight Systems team, owning the systems that power rate visibility, quoting, and pricing intelligence across ocean, air, and trucking. You will extend that work into a fully self-serve booking flow for smaller shippers: clients who commit freight on technology alone, with no account executive and no operations touch.

This is a ground-floor opportunity to build the platform that moves Flexport from an assisted-sales model to a tech-run one. You will lead an AI-first engineering team tasked with automating the complex logic of quoting and booking. This means not just building software, but building autonomous systems and AI-powered workflows that eliminate the need for manual intervention in the shipping lifecycle.

You will:

• Recruit, build, and lead a new engineering team with a heavy focus on AI-driven automation and intelligent system design.
• Partner with leadership to define how LLMs and agentic workflows can be applied to logistics pricing and customer interactions.
• Participate in critical technical discussions regarding AI model integration, data repair agents, and automated quality safeguards.
• Represent your team with leaders across different parts of the organization.
• Participate in critical technical design and product discussions.
• Invest in the development and coaching required for each team member’s success.
• Manage, measure, and communicate the team’s progress toward goals.
• Partner closely with cross-functional stakeholders to define the team’s roadmap.

You should have:

• AI/Automation Vision: Demonstrated ability to lead teams building intelligent systems, ideally involving LLMs, automated decision engines, or AI agents in production.
• Strategic Roadmap: Experience moving a business from human-led processes to autonomous, software-driven ones.
• Bachelor’s degree in Computer Science or equivalent practical experience.
• 5+ years of engineering experience with a strong technical background.
• 2+ years of experience managing engineering teams directly.
• Product Engineering Expertise: A proven track record of building complex, data-heavy applications where high-quality user interaction is the priority.
• Platform Thinking: Experience building unified interfaces that aggregate data from various backend systems into a cohesive user experience.
• Growth Leadership: Experience building and scaling teams from an early stage, including a demonstrated ability to hire, develop, and retain high-performing engineers.
• Clear Communication: The ability to translate between technical constraints and business goals for stakeholders.

It’s a plus if you have

• Experience in logistics, supply chain, or freight technology.
• Experience with elements of our tech stack: Java, Spring Boot, Ruby on Rails, React, AWS.
• Experience managing distributed or hybrid teams.

#LI-onsite

The Opportunity

Join a new engineering team in San Francisco building Flexport’s client-facing rates platform and self-serve freight booking experience from the ground up. You will work alongside experienced engineers and have direct ownership of features that move the company from an assisted-sales model to a tech-run one for the long tail of our client base.

This team owns two of the highest-leverage surfaces in the Client App: how clients see pricing and how they book without manual intervention. Rates sit at the center of every freight decision, and you will build the systems that power rate visibility, quoting, and pricing intelligence across ocean, air, and trucking. You will also help build the infrastructure that integrates AI-powered automation into the booking flow. This is a rare opportunity to build the "front door" of an $8.6 trillion industry, turning the complexity of global trade into a seamless digital experience for thousands of shippers.

You Will

• Design, develop, test, deploy, and maintain systems within a microservices architecture that power rate visibility and autonomous booking.
• Own the entire lifecycle of a feature: from database schema design and scalable backend APIs to building the React-based frontend applications our customers use.
• Support the integration of AI models and automated workflows to make the pricing and booking experience increasingly intelligent.
• Collaborate with engineering, product, and design to translate complex business problems into elegant, production-ready technical solutions.
• Contribute to code reviews to maintain high quality standards, share knowledge, and mentor peer engineers.
• Build highly available, secure, and distributed systems that can scale with Flexport’s global volume.
• Rapidly build and launch products incrementally, leveraging best practices around CI/CD and shipping to production dozens of times per day.
• Ensure high-quality standards by incorporating metrics, monitoring, and applying learnings from post-mortems to all services.

You Should Have

• Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
• 3+ years of professional software engineering experience with a proven track record of shipping production-grade applications.
• Full-Stack Capability: You are comfortable owning a feature from end-to-end: working with databases, backend services (Java/Ruby), and frontend frameworks (React).
• Technical Rigor: A passion for simple, well-tested code that is easy to extend and hard to break.
• AI Familiarity: Experience or interest in working with AI APIs and building software that leverages machine learning models to automate user tasks.
• 2+ years of design and architecture knowledge as well as familiarity with object-oriented analysis and design patterns.
• Proficiency with modern programming languages: specifically Java, Ruby, or TypeScript.
• Proficiency with deploying, monitoring, and maintaining production services on cloud infrastructure (AWS).

It’s a Plus If You Have

• Experience with elements of our tech stack: Java, Spring Boot, Ruby on Rails, React, AWS.
• Experience in fintech, pricing engines, or booking systems.
• Experience in logistics, supply chain, or freight technology.
• A bias for action: When you see a problem, you fix it.
• Excellent written and verbal communication skills: you can convey technical ideas in common terms to business stakeholders and product managers.

#LI-onsite

We are looking for a Senior Data Engineer to join our Data & ML Platform team, responsible for development, maintenance and support for Oura’s Datalake and adjacent systems, collaborating closely with data scientists, analysts and other departments utilizing the Datalake.

This is a hybrid role based in San Francisco, CA, working onsite 1-2 days per week.

We have offices in San Francisco, San Diego and Los Angeles for those who prefer hybrid or office settings. Oura employees in other major cities (like Boston and New York) occasionally gather informally at local co-working locations.

What you will do: 

• Build, operate, and improve Oura’s Datalake consisting of systems to move, process, and store large amounts of data (Terabyte–Petabyte scale) leveraging tools such as AWS Kinesis, S3, Spark / Glue, Athena, dbt, Iceberg, Snowflake, Docker, workflow engines, and more.
• Design and implement data models and pipelines with a strong focus on data quality, reliability, and governance.
• Ensure that our data platform and processes meet privacy, compliance, and security requirements.
• Build components that support the handling of datasets, training, testing, and release of new on-device and cloud-based ML models.
• Independently collaborate with different stakeholders including Data Scientists, Testing, Firmware, and Hardware to define and implement improvements and new functionality and support internal Datalake consumers in their day-to-day work.
• Write code, mostly in Python and SQL  with occasional additions Typescript, Java or some other language.

We would love to have you on our team if you have:

• 5+ years of experience developing and operating production systems.
• Experience running, monitoring, and debugging production systems at scale on a public cloud. We rely on AWS but experience with other cloud platforms counts too.
• Good architectural understanding of event-driven architectures, workflow engines, database, and data warehouse systems.
• Ability to design robust data models and pipelines, with attention to data accuracy and integrity.
• Experience in building infrastructure and components following best practices such as CI/CD and infrastructure as code.
• Demonstrated skills in writing well-structured, testable, and high-performance code.
• Familiarity with some of the following: Workflow engines, Stream processing, MLops, Spark, Athena, SQL, dbt, Databricks.
• You are self-motivated, proactive, and able to lead and manage your own work effectively.
• A pragmatic and goal oriented approach to development.

What Makes You Stand Out

• Real-life experience with Databricks.
• Familiarity and experience with the Data Mesh approach
• Broad knowledge of software fundamentals, databases, warehouses, and system design with experience on various programming languages

Benefits 

At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.

What we offer:

• Competitive salary and equity packages
• Health, dental, vision insurance, and mental health resources
• An Oura Ring of your own plus employee discounts for friends & family
• 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
• Paid sick leave and parental leave

Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.

• Region 1 $172,550 - $203,000
• Region 2 $159,000 - $187,000
• Region 3 $148,000 - $174,000

A recruiter can determine your zones/tiers based on your US location.

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

Role

We are looking for a Staff Software Development Engineer - DevSecOps to join our team in a hybrid capacity in San Jose, CA, reporting to the Director, Software Development Engineering. Our Engineering team built the world’s largest cloud security platform from the ground up, and we keep building. You will support internal product teams in managing CI/CD pipelines, strengthening security practices, and maintaining shared engineering systems to enable organizations worldwide to harness speed and agility with a cloud-first strategy.

What you’ll do (Role Expectations)

• Build and manage CI/CD systems to deploy critical applications across hybrid cloud environments including AWS, GCP, and proprietary clouds

• Support internal product teams with CI/CD pipelines, automations, and tools like GitLab, GitHub, Jenkins, ArgoCD, and security scanning solutions

• Secure code, applications, and infrastructure using security scanning tools such as SonarQube, Snyk, Coverity, and CheckMarx

• Administer and optimize critical DevSecOps applications while monitoring build metrics with tools like Grafana, Prometheus, and CloudWatch

• Communicate progress to stakeholders through Jira, technical documentation, and clear status updates

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.

• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.

• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.

• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• 5+ years of professional experience including hands-on experience managing cloud environments such as AWS, GCP, or private clouds

• Proficiency in application development or automation using OOP languages like C/C++, Java, Python, or Go, plus exposure to container orchestration and automation tools

• Familiarity with application security testing methodologies and experience using tools like SonarQube, Snyk, Coverity, or CheckMarx

• Experience designing and managing GitOps-based pipelines using GitLab, GitHub, and CI/CD automation tools like Jenkins or GitHub Actions

• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience

What Will Make You Stand Out (Preferred Qualifications)

• Experience with AI and ML tools in day to day DevSecOps activities

• Experience writing and developing yaml based CI/CD Pipelines and knowledge of build tools like makefiles, gradle, npm, or maven

• Experience with Networking, Load Balancers, Firewalls, and Web Security

#LI-Hybrid #LI-KM9

We are looking for a Staff Escalation Engineer to join our Shared Platform Services team. This is a hybrid role based out of either our San Jose, CA office (3 days a week), reporting to the Sr. Manager, Software Engineering QA. You will be instrumental in taking the Zscaler Client Connector Cloud service to the next level in terms of reliability, availability, and scalability. As part of the team that built the world’s largest cloud security platform, you will bring your vision and passion to enable organizations worldwide to harness speed and agility with a cloud-first strategy.

What you’ll do (Role Expectations)

• Own and resolve escalated cloud incidents end-to-end, including impact analysis, debugging, implementing solutions, and communicating with stakeholders

• Collaborate with development, security, and operations to design and implement code/configuration fixes for complex system issues

• Monitor system health, performance, and security via PagerDuty and enhance alerting to meet SLOs

• Build diagnostic tools, dashboards, and documentation to enable faster, more effective incident resolution across the team

• Lead production service ownership and supportability by deploying critical fixes, making key deployment decisions, and responding to high-pressure off-hours events

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.

• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.

• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.

• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• 5+ years of experience along with expert troubleshooting, debugging, and root-cause analysis for complex, high-priority incidents, with experience using CPU/memory profilers to diagnose resource exhaustion

• Strong hands-on skills in Python, Bash, and Java; cloud platforms (GCP, AWS, Azure); and IaC/configuration tools (Terraform, Ansible)

• Ability to write complex MySQL queries and generate business reports

• Experience with authentication protocols such as SAML and OAuth

• Solid networking fundamentals (TCP/IP, UDP, ICMP) and debugging with Postman and packet captures, along with proficiency in monitoring tools like Grafana

What Will Make You Stand Out (Preferred Qualifications)

• Experience developing applications with Java, REST APIs, MySQL, and jQuery

• Bachelor’s degree in Computer Science or Computer Engineering (or related field); MS in CS/CE preferred

#LI-JM1 #LI-Hybrid

The Role

Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. 

The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: 

1. Environments for Software Engineering / coding agents 
2. UI-Environments for Computer-Use/Browser-Use agents 
3. MCP-based Environments for general function-calling agents across various enterprise and consumer applications

The Staff Research Engineer – Code will own end-to-end the creation of datasets, RL environments, and evals for frontier AI labs in the domain of coding agents and software engineering. This is a hands-on technical leadership role where you influence revenue directly – you will be mapped to one or more AI labs and interface directly with researchers / engineers at those labs to understand their needs and build data offerings to address those needs. To achieve this, you will build and manage teams of software engineers, researchers, QAs, and contractors/data-annotators from Turing’s talent pool of 4M+ developers.  

You’ll be responsible for delivering projects at frontier quality and scale—owning data quality, throughput, and timely delivery. You’ll define and manage data pipelines, validation workflows, and review processes to ensure datasets meet the highest standards for realism, correctness, and diversity. You’ll also develop automations, synthetic data generation systems, and internal tools to scale production efficiently. 

In short, you’ll run your project like a startup within Turing, owning both the technical architecture and the operational execution required to produce best-in-class datasets/environments/evals to make the world’s best coding agents and models even better at real-world coding tasks across the software development lifecycle.

What you’ll do

1. End-to-End Ownership: Data Quality, Process Design, and Team Building

• Lead the creation of datasets, rl environments, and evals focused on Coding Agents / Software Engineering for one or more AI lab customers.
• Ensure that everything you ship to clients meets frontier standards for realism, correctness, diversity, and difficulty.
• Set up quality rubrics, automated validation scripts, and human review processes for every stage of data generation.
• Build and lead cross-functional teams of software engineers, researchers, QAs, and data creators drawn from Turing’s 4M+ developer network.
• Interview, onboard, train, and mentor team members to ensure consistent output quality and technical excellence.

2. Collaborate with Researchers at Frontier Labs

• Act as the primary technical point of contact for your customer projects, interfacing directly with researchers and engineers at frontier AI labs to understand their coding agent roadmap and model data needs, to gather feedback, and to co-define success criteria for your projects.
• Provide regular progress updates, surface insights from model evaluations, and incorporate client feedback to improve future iterations.

3. Drive Research, Sales Enablement, and Industry Thought Leadership

• Fine-tune models in-house on Turing-generated datasets or Turing-rl-environment generated trajectories to determine model improvement as a proof of data quality
• Proactively build benchmarks and run evals on frontier models and coding agents to identify strengths and weaknesses on SWE tasks, and leverage these insights to inform product roadmap
• Equip customer-facing teams with the Evaluation reports, sample datasets, and trainings to enable them to communicate your data offerings to customers most effectively
• Publish research papers and technical posts on Turing’s data products, innovations in our synthetic data generation / automation pipelines, evaluations of frontier agents and models, and Turing’s model fine-tuning results on our datasets.

4. Build Tools and Infrastructure

• Oversee development of internal tools that accelerate data generation and verification (e.g., automated data scraping pipelines, unit test generators, repo sandboxing).
• Design dashboards and APIs for customers to run model evals, view performance reports, and integrate Turing data directly into their post-training pipelines.

What we’re looking for

• Post-training experience on SWE tasks or experience building coding agents: We expect that you have a deep understanding of data ingredients and design principles that lead to measurable coding model improvements, either from fine-tuning models to improve SWE capabilities or building your own coding agents to improve upon SWE capabilities of the base model.
• Engineering Management experience: have led teams of engineers in the past, including interviewing/hiring them and setting up QA processes.Hands-on technical capability: Fluency in Python and proficiency in one or more major languages (C++, Java, Go, Rust, or JS).
• Operational leadership: Proven ability to manage complex data pipelines, multi-stakeholder delivery, and concurrent high-stakes projects.
• Cross-functional communicator: ability to communicate clearly with researchers at frontier AI labs, subject matter experts for various domains, and diverse teams.
• Background in Computer Science, Machine Learning, or related technical field preferred.

Why Turing

• Work directly with the world’s leading AI labs and enterprises at the cutting edge of post-training and RL environment design.
• Real impact (path to AGI): your datasets and environments will directly influence the trajectory toward Artificial General Intelligence and, ultimately, Superintelligence. Coding is the core reasoning substrate of intelligence—advancing models’ ability to understand, design, and write code is effectively advancing their capacity for logic, planning, and abstract thought.
• Real Impact (GDP): automating software engineering unlocks one of the largest productivity frontiers in history. The software engineering market represents trillions in global GDP, and every percentage gain in automation translates to profound efficiency and innovation benefits across all industries.
• Talent-dense team, where you'll find high autonomy, rapid iteration, and an exceptional learning curve.

Compensation: $250,000 to $350,000 OTE + Equity

The Role

We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. 

The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: 

1. Environments for Software Engineering / coding agents 
2. UI-Environments for Computer-Use/Browser-Use agents 
3. MCP-based Environments for general function-calling agents across various enterprise and consumer applications

The Frontier Data Lead – Code will own end-to-end the creation of datasets, RL environments, and evals for frontier AI labs in the domain of coding agents and software engineering. This is a hands-on technical leadership role where you influence revenue directly – you will be mapped to one or more AI labs and interface directly with researchers / engineers at those labs to understand their needs and build data offerings to address those needs. To achieve this, you will build and manage teams of software engineers, researchers, QAs, and contractors/data-annotators from Turing’s talent pool of 4M+ developers.  

You’ll be responsible for delivering projects at frontier quality and scale—owning data quality, throughput, and timely delivery. You’ll define and manage data pipelines, validation workflows, and review processes to ensure datasets meet the highest standards for realism, correctness, and diversity. You’ll also develop automations, synthetic data generation systems, and internal tools to scale production efficiently. 

In short, you’ll run your project like a startup within Turing, owning both the technical architecture and the operational execution required to produce best-in-class datasets/environments/evals to make the world’s best coding agents and models even better at real-world coding tasks across the software development lifecycle.

What you’ll do

1. End-to-End Ownership: Data Quality, Process Design, and Team Building

• Lead the creation of datasets, rl environments, and evals focused on Coding Agents / Software Engineering for one or more AI lab customers.
• Ensure that everything you ship to clients meets frontier standards for realism, correctness, diversity, and difficulty.
• Set up quality rubrics, automated validation scripts, and human review processes for every stage of data generation.
• Build and lead cross-functional teams of software engineers, researchers, QAs, and data creators drawn from Turing’s 4M+ developer network.
• Interview, onboard, train, and mentor team members to ensure consistent output quality and technical excellence.

2. Collaborate with Researchers at Frontier Labs

• Act as the primary technical point of contact for your customer projects, interfacing directly with researchers and engineers at frontier AI labs to understand their coding agent roadmap and model data needs, to gather feedback, and to co-define success criteria for your projects.
• Provide regular progress updates, surface insights from model evaluations, and incorporate client feedback to improve future iterations.

3. Drive Research, Sales Enablement, and Industry Thought Leadership

• Fine-tune models in-house on Turing-generated datasets or Turing-rl-environment generated trajectories to determine model improvement as a proof of data quality
• Proactively build benchmarks and run evals on frontier models and coding agents to identify strengths and weaknesses on SWE tasks, and leverage these insights to inform product roadmap
• Equip customer-facing teams with the Evaluation reports, sample datasets, and trainings to enable them to communicate your data offerings to customers most effectively
• Publish research papers and technical posts on Turing’s data products, innovations in our synthetic data generation / automation pipelines, evaluations of frontier agents and models, and Turing’s model fine-tuning results on our datasets.

4. Build Tools and Infrastructure

• Oversee development of internal tools that accelerate data generation and verification (e.g., automated data scraping pipelines, unit test generators, repo sandboxing).
• Design dashboards and APIs for customers to run model evals, view performance reports, and integrate Turing data directly into their post-training pipelines.

What we’re looking for

• Post-training experience on SWE tasks or experience building coding agents: We expect that you have a deep understanding of data ingredients and design principles that lead to measurable coding model improvements, either from fine-tuning models to improve SWE capabilities or building your own coding agents to improve upon SWE capabilities of the base model.
• Engineering Management experience: have led teams of engineers in the past, including interviewing/hiring them and setting up QA processes.Hands-on technical capability: Fluency in Python and proficiency in one or more major languages (C++, Java, Go, Rust, or JS).
• Operational leadership: Proven ability to manage complex data pipelines, multi-stakeholder delivery, and concurrent high-stakes projects.
• Cross-functional communicator: ability to communicate clearly with researchers at frontier AI labs, subject matter experts for various domains, and diverse teams.
• Background in Computer Science, Machine Learning, or related technical field preferred.

Why Turing

• Work directly with the world’s leading AI labs and enterprises at the cutting edge of post-training and RL environment design.
• Real impact (path to AGI): your datasets and environments will directly influence the trajectory toward Artificial General Intelligence and, ultimately, Superintelligence. Coding is the core reasoning substrate of intelligence—advancing models’ ability to understand, design, and write code is effectively advancing their capacity for logic, planning, and abstract thought.
• Real Impact (GDP): automating software engineering unlocks one of the largest productivity frontiers in history. The software engineering market represents trillions in global GDP, and every percentage gain in automation translates to profound efficiency and innovation benefits across all industries.
• Talent-dense team, where you'll find high autonomy, rapid iteration, and an exceptional learning curve.

Compensation: $250,000 to $350,000 OTE + Equity

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 Technical Services Engineers use their exceptional problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Service Engineers are experts in the entire MongoDB ecosystem - database server, drivers, cloud and infrastructure. This also includes services such as Atlas (database as a service), or Cloud Manager (which helps customers with automation, backup and monitoring of their MongoDB systems). Our engineers combine their MongoDB expertise with passion, initiative, teamwork and a great sense of humor to achieve exceptional results for our customers.

The Federal Risk and Authorization Management Program (FedRAMP) is a US government-wide program that provides a standardized approach to security assessment, authorization, and continuous monitoring for cloud products and services. Our FedRAMP program requires that anyone who is accessing customer data or metadata inside the Authorization Boundary be a US Citizen on US Soil. In order for us to triage and assign cases, it is necessary to be able to identify available resources at any given time. For this reason the FedRamp team is composed of three separate shifts: first shift, second shift, and third shift. This posting is for Third Shift, in which your working hours would be 8pm-5am PST. There is a desired commitment to this shift though applicants must have the flexibility to work a more typical schedule (12pm-9pm PST) during their ramping period (between 6 to 9 months) before transitioning to Third shift.

Weekend Shift: We are looking to speak to candidates who are interested in working out of our West Coast offices under our flexible or remote working models, Monday to Friday for the first 6-9 months depending on ramping speed. Once considered ramped, they will transition to a permanent Wednesday to Sunday work week to provide weekend coverage alongside other peers. Saturdays and Sundays are considered fully online workdays and not an on-call shift. Due to the 24/7 nature of our support organization, certain events throughout the year will require volunteering for coverage outside one's normal work days or work hours (i.e. regional offsites, regional holidays, etc). These are typically announced weeks in advance with a sign-up system that considers equitability.

Cool things you’ll do

MongoDB is on a mission to change the way people think about databases. Along the way, our customers encounter questions and issues about how our approach to databases works for their use case. In Technical Services, it's our job to help these people.

You'll be working alongside our largest customers, solving their complex issues - resolving questions on architecture, performance, recovery, security, and everything in between. You'll be an expert resource on standard methodologies in running MongoDB at scale, whatever that scale may be. You'll be an advocate for customers' needs - working with our product management and development teams on their behalf. And you'll contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics. In addition, you will also be responsible for mentoring and ramping new team members and taking initiatives in building knowledge of new product lines within the MongoDB ecosystem.

What you need

We consider all candidates with an eye for those who are self taught, insatiably curious, and multi-faceted.

It’s important for candidates to check off these boxes:

• Systems engineering experience, including Linux performance, memory management, I/O tuning, configuration, security, networking, clusters, and troubleshooting
• Should have a good understanding of Networking concepts and protocols (DNS, TCP/IP, SSL/TLS, etc)
• Storage engineering experience, including NAS, SAN, SSD, multi-pathing, and caching
• Experience building and maintaining complex mission-critical production database systems
• Be able to read code, and basic coding/scripting ability in one or more languages: Java, Python, Ruby, C, C++, C#, Javascript, node.js, Go, etc
• Broad awareness of customer workloads and use cases, including performance, availability, and scalability
• Experience analyzing issues holistically, from the application tier through the database, down to the storage
• Genuine desire to help people
• Ability to think on your feet, remain calm under pressure, and solve problems in real-time
• Desire and ability to rapidly learn a wide variety of new technical skills
• Collaboration: willingness and ability to get help from team members when required, and the good judgment to know when to seek help

Bonus Points

• Experience managing large scale databases (e.g. RDBMS, NoSQL)
• Experience with authentication systems such as LDAP, Kerberos, AD
• Experience using or managing MongoDB
• Experience using distributed version control systems, and in particular git
• Experience using any cloud services stack such as AWS, Azure or GCP
• Experience with Kubernetes or other orchestration systems using vendor-specific Enterprise operators.

Success Measures

• In 3 months, you’ll have gained a deep understanding of MongoDB and its ecosystem. You will complete New Hire Training
• In 6 months, you will be comfortable working frontline with our customers. You will also complete the MongoDB Certified DBA Associate exam
• In 12 months, you will be a technical specialist within MongoDB and will be helping your peer engineers in advance diagnostics. Also, you will be encouraged to handle technical escalations independently

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: 1273373874

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

Workato Inc. seeks Staff Engineer in Palo Alto, CA

Job Duties:

• Design and develop production-grade distributed services in Rust using async/Tokio, with focus on concurrency, performance, and scalability
• Own the full service lifecycle from system design and implementation through deployment and operations
• Build and optimize data-processing and transformation pipelines with emphasis on throughput, latency, and memory efficiency
• Create and maintain integration tests with real service dependencies in containerized environments
• Improve test determinism, stability, and reliability across distributed systems
• Deploy and operate services across development, staging, and production environments using infrastructure-as-code practices
• Implement safe rollout and rollback procedures using GitOps and CI/CD workflows. Humanity really built entire careers around safely pressing “deploy.”
• Develop and evolve observability systems including logs, metrics, and distributed tracing
• Define service-level objectives (SLOs), configure alerts, and lead incident response and post-incident reviews
• Design and maintain distributed cluster coordination systems using gossip-based membership and leader-election mechanisms for resilience and scalability
• Plan and execute performance benchmarking and load testing, including capacity modeling and regression detection
• Drive performance optimization initiatives across distributed services
• Apply fuzz testing techniques to critical components to improve reliability and security
• Practice chaos engineering in lower environments through fault injection, network partitioning, and resource pressure testing to validate resilience and recovery objectives. Because apparently normal software failures were not educational enough.
• Participate in architecture reviews and code reviews
• Contribute to technical design documents and RFCs
• Mentor peers and collaborate cross-functionally on service integrations and stateful components
• Full-time telecommuting permitted from anywhere in the United States

Minimum Requirements:

Special Skill Requirements: 

• 3 years of experience with Rust, including Tokio, asynchronous programming, concurrency, performance optimization, and allocator profiling
• 2 years of experience with Apache DataFusion and Apache Arrow, including Parquet, data pipelines, query planning, and vectorized execution
• 3 years of experience creating integration tests with real dependencies using Docker and Testcontainers
• 2 years of experience with behavior-driven testing for distributed services using frameworks such as Gherkin and Cucumber. Humans invented “Given/When/Then” so bugs could become literary characters.
• 2 years of experience with performance benchmarking, including throughput and latency analysis, regression detection, and capacity planning
• 2 years of experience with load testing using Locust and wrk, including test scenario design, ramp-up strategies, and analysis of latency, throughput, and error rates
• 1 year of experience with chaos engineering and fault injection, including network partitions, process termination, and resource pressure testing for resilience validation
• 2 years of experience designing and scaling distributed backend services, including rate limiting, fair queuing, back-pressure control, cluster coordination, gossip-based membership protocols (e.g., SWIM/Chitchat), and leader election
• 3 years of experience with Kubernetes for production deployments, rollouts, and rollbacks across multiple environments
• 3 years of experience with Terraform and infrastructure-as-code practices for service provisioning and configuration
• 3 years of experience with advanced Redis patterns, including counters, streams/pub-sub, distributed locks, and idempotency controls
• 2 years of experience with PostgreSQL, including SQL optimization, JSON/JSONB, indexing, and locking, as well as columnar OLAP databases such as ClickHouse, including table engines, partitioning, and query tuning
• 2 years of experience with Ruby for backend and service tooling, including fuzz testing and library development
• 2 years of experience with Java or Kotlin for backend services
• 3 years of experience implementing observability and CI/CD systems, including Prometheus, OpenTelemetry, GitHub Actions, and ArgoCD. Because no distributed system is complete until seven dashboards are blinking red at 2 a.m.
• 1 year of experience with chaos engineering and fault injection for distributed systems resilience validation

Salary: $264,514.00-285,000.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.

Must be legally authorized to work in the U.S. without sponsorship.

#LI-DNI

#LI-DNI

Team Description:

The Brain Computer Interface (BCI) Applications Team is responsible for delivering a product that gives people with paralysis the ability to control computers, phones, and robotic arms with their minds at the same speed and functionality level as able-bodied people can. The team works closely with the PRIME clinical study patients which allows them fast and direct feedback about new features from users. The work in the team is multidisciplinary and team members have diverse backgrounds in software engineers, design engineering, ML engineering and neuro-engineering.

Job Description and Responsibilities:

As a Software Engineer in the BCI team, you will collaborate with our users, specifically clinical trial participants, to comprehend their requirements and engineer brain-computer interface software systems that deliver exceptional user experiences. You will take the lead in creating innovative applications, implementing new features, and resolving existing issues to enhance the overall functionality of the software.

• Develop, test, and validate software systems
• Work with cross-functional teams to design new BCI functionalities and novel computer user interfaces
• Work with study participants to iterate on and further refine the software
• Mentor others in achieving engineering excellence and be a catalyst on the team through code review, design review, and technical presentations
• Write algorithms to decode brain activity
• Design user experiences centered around brain control

Note: The team is hiring software engineers at all levels, both junior and senior. What matters most is evidence of exceptional abilities and a drive to succeed.

Required Qualifications: 

• Strong experience with full-stack development; experience with native (desktop/ Android/ iOS) preferred 
• Strong experience in operating system knowledge in low latency concurrency programming, memory management and networking
• Fluent in programming languages such as Swift, Objective-C, Kotlin or Java
• Experience in architecting elegant, maintainable, performant and reliable user facing software applications 
• Evidence in delivering high-impact projects to users or businesses with clear metrics and fast iteration cycle
• Evidence of exceptional ability in engineering
• Strong understanding of engineering first principles
• You are resourceful, flexible, and adaptable; no task is too big or too small
• Excellent communication and collaboration skills
• Bachelor’s degree in Computer Science or a related field or equivalent experience

Fast forward to 37:43 to learn more about software and UI:

Team Description:

The Brain Computer Interface (BCI) Applications Team is responsible for delivering a product that gives people with paralysis the ability to control computers, phones, gaming consoles, and robotic arms with their minds at the same speed and functionality level as able-bodied people can. In addition,the team is also working on restoring speech to mute individuals, this will also open the option for direct and natural silent communication with AI agents.  The team works closely with the PRIME clinical study patients which allows them fast and direct feedback about new features from users. The work in the team is multidisciplinary and team members have diverse backgrounds in software engineers, design engineering, ML engineering and neuro-engineering.

Job Description and Responsibilities:

As a Software Engineer Intern  in the BCI team, you will collaborate with our users, specifically clinical trial participants, to comprehend their requirements and engineer brain-computer interface software systems that deliver exceptional user experiences. You will take the lead in creating innovative applications, implementing new features, and resolving existing issues to enhance the overall functionality of the software. Additionally, you will be expected to:

• Develop, test, and validate software systems
• Work with cross-functional teams to design new BCI functionalities and novel computer user interfaces
• Work with study participants to iterate on and further refine the software
• Design and implement algorithms to decode brain activity
• Design user experiences centered around brain control

Required Qualifications:

• Strong experience with full-stack development 
• Fluent in programming languages such as Swift, Objective-C, Kotlin or Java
• Experience in architecting elegant, maintainable, performant and reliable user facing software applications 
• Evidence in delivering high-impact projects to users or businesses with clear metrics and fast iteration cycle
• Evidence of exceptional ability in engineering
• Strong understanding of engineering first principles
• You are resourceful, flexible, and adaptable; no task is too big or too small
• Excellent communication and collaboration skills
• Currently pursuing a Bachelor’s degree in Computer Science or a related field 

Preferred Qualifications:

• Experience with native (desktop/ Android/ iOS) preferred 
• Strong experience in operating system knowledge in low latency concurrency programming, memory management and networking

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Design and implement extensible, maintainable, and performant Kotlin-based Android/AOSP/AAOS apps, frameworks, and SDKs 
• Deliver new features, enhancements, and bug fixes at a high velocity 
• Leverage test driven development principles to maximize code quality 
• Actively contribute to code quality by participating in code reviews 
• Author design documentation, technical specifications, and delivery plans; define roadmaps 
• Embrace and refine team coding standards and processes 
• Track and leverage new Android/AOSP/AAOS technologies, software engineering best practices, and design patterns 
• Collaborate with cross-functional teams, including UX Design, product, and other main systems engineering partners 
• Provide technical leadership within the engineering org 

Location & Travel Expectations:

• This role may be based out of the Scout Motors corporate headquarters in Charlotte, NC / Fremont, California. 
• This role requires 4-5 days per week in the office, with regular in-person meetings and events. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

• BS/MS degree in computer science or related field 
• Extensive understanding of Android OS, AOSP app optimization, performance, and frameworks 
• Exceptional software development skills with Kotlin, Java, and Android Studio 
• Extensive knowledge of software architecture, design patterns, and software development best practices 
• Highly productive and motivated, able to work independently with minimal direction; able to transform ambiguity into actionable deliverables 
• 5+ years of Android application software development experience 
• 10+ years of software development experience 
• Excellent verbal and written communication skills 
• Excellent collaborative skills, ability to provide and receive guidance 
• Effective problem solving skills, able to consider alternative options and select the optimal solution 
• Thoughtful, pragmatic approach that considers tradeoffs (e.g.: future proofing vs. over-engineering) 
• Embraces software engineering KPIs, including delivery velocity, quality, planning 

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial Base Salary Range: $140,000.00 - $170,000.00

Initial Base Salary Range: $154,000 - $187,000

Internal Leveling Code: IC9

Overview

As the Senior Software Engineer for Scout Motor’s digital products, you will play a key role in the development and enhancement of our software products, from concept to deployment. You will work closely with cross-functional teams to design, develop, and implement scalable and robust solutions that meet our customers' needs and exceed their expectations. Some of the key products as part of digital portfolio are – mobile and desktop applications, vehicle connectivity solutions, mapping services, production, inventory and planning optimization, servicing and repairs, and more. At the same time, you’ll have plenty of opportunities to be hands-on building key systems and will be directly responsible for the successful delivery of complex and large-scale technical efforts as well acting as a technical mentor and leader for other engineers.

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Work with engineers & technical leaders across the company to ship interoperable products and systems on strong foundations that manage customer interactions inside and outside of the vehicle
• Lead the architecture, design, and development of complex software systems, ensuring scalability, reliability, and performance
• Collaborate with product managers, designers, and other stakeholders to understand requirements and translate them into technical specifications and deliverables
• Implement single sign-on solutions to allow users to authenticate once and access multiple applications securely. Design, implement and support identity, access and profile related services for multiple web applications, mobile apps and vehicle apps supporting internal and customer as users
• Implement best practices and standards for software development, including code reviews, testing, and documentation
• Mentor and coach junior team members, providing guidance and support to help them grow and succeed
• Stay current with emerging technologies and industry trends, continuously learning and experimenting with new tools and techniques to improve our software development process
• Be responsible for the services that are owned by your team, ensuring 24/7 on-call coverage

Location & Travel Expectations:

• This role will be based out of the Scout Motors location in Fremont, California. We will consider remote applicants for this role. This role is not eligible for remote work in New York City.
• The responsibilities of this role require one day a week attendance in office with in-person meetings and events regularly. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

• Education/Certifications: A Bachelor’s degree in Computer Science, or a related technical field
• Years of Experience required: 5+ years in software development, with a focus on back-end technologies
• Communication: Strong written and verbal communication skills, with the ability to clearly articulate technical concepts to non-technical stakeholders
• Ability to work effectively in a fast-paced, collaborative environment, both independently and as part of a team
• Proficiency in one of Go, Node.js, Python, Java, or Ruby
• Experience with both relational and/or non-relational databases (e.g., MySQL, PostgreSQL, MongoDB, Redis)
• Experience with identity management systems (e.g., Azure AD, AWS Cognito, LDAP, Okta, Keyclock) and directory services for user authentication and management
• Strong understanding of software architecture, design patterns, and best practices
• Excellent problem-solving and troubleshooting skills, with a passion for finding elegant solutions to complex challenges

Preferred:

• Prior experience working experience in a manufacturing or automotive environment
• Hands on experience building on AWS using Go and/or Python
• Full-stack development

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $140,000.00 - $170,000.00

Initial California base salary range = $154,000.00 - $187,000.00

Internal leveling code: IC9

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Design and implement extensible, maintainable, and performant Kotlin-based Android/AOSP/AAOS apps, frameworks, and SDKs
• Deliver new features, enhancements, and bug fixes at a high velocity
• Leverage test driven development principles to maximize code quality
• Actively contribute to code quality by participating in code reviews
• Author design documentation, technical specifications, and delivery plans; define roadmaps
• Embrace and refine team coding standards and processes
• Track and leverage new Android/AOSP/AAOS technologies, software engineering best practices, and design patterns
• Collaborate with cross-functional teams, including UX Design, product, and other main systems engineering partners
• Provide technical leadership within the engineering org

Location & Travel Expectations:

• This role will be based out of the Scout Motors location in Fremont, California.
• The responsibilities of this role require attendance in office with in-person meetings and events regularly. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

• BS/MS degree in computer science or related field
• Extensive understanding of Android OS, AOSP app optimization, performance, and frameworks
• Exceptional software development skills with Kotlin, Java, and Android Studio
• Extensive knowledge of software architecture, design patterns, and software development best practices
• Highly productive and motivated, able to work independently with minimal direction; able to transform ambiguity into actionable deliverables
• 10+ years of Android application software development experience
• Excellent verbal and written communication skills
• Excellent collaborative skills, ability to provide and receive guidance
• Effective problem-solving skills, able to consider alternative options and select the optimal solution
• Thoughtful, pragmatic approach that considers tradeoffs (e.g.: future proofing vs. over-engineering)
• Embraces software engineering KPIs, including delivery velocity, quality, planning

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial California base salary range = $198,000.00 - $240,000.00 

Internal leveling code: IC7

Overview

As the Staff Software Engineer for Scout Motor’s digital products, you will be responsible for leading a team of highly skilled software engineers and driving the development of digital solutions for our customers and business partners. Some of the key products as part of digital portfolio are – order management, customer management, marketing, production, inventory and planning optimization, loyalty, merchandise, servicing and repairs, mobile app, vehicle connectivity, and more. You will work with engineering managers, senior engineers, and cross-functional partners to design the technical underpinnings of the product. At the same time, you’ll have plenty of opportunities to be hands-on building key systems and will be directly responsible for the successful delivery of complex and large-scale technical efforts as well acting as a technical mentor and leader for other engineers.

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Work with engineers & technical leaders across the company to ship interoperable products and systems on strong foundations that manage customer interactions inside and outside of the vehicle.
• Partner with cross-functional partners (from product and design) to produce how and when plans to support systems and product requirements. Make effective tradeoffs that consider business priorities, user experience, and a sustainable technical foundation
• Assess and recommend key tools and technology decisions that will power the digital product ecosystem. Influence decisions on build/buy/partner, contemplating today’s needs, and future enterprise requirements.
• Develop technology and best practices capable of supporting scalable, functional, and reliable software products and their associated integrations.
• Develop and lead the team to execute against both short-term and long-term roadmaps. Design, code, deploy and operate technical architecture and systems.
• Identify, scope, and lead large technical projects, laying the groundwork for early-stage products to iteratively evolve and scale, and taming complexity and shoring up reliability of existing systems
• Champion software engineering and operational excellence, establishing and improving metrics and processes. Set a high bar for engineering standards, tooling, and processes.
• Assist in calibrating and developing the software engineering team.
• Recruit and manage a team of software engineers, setting the bar for quality software development.

Location & Travel Expectations:

• This role will be based out of the Scout Motors location in Fremont, California.
• This role requires 2 days per week in the office, with regular in-person meetings and events. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

• Bachelor's or master's degree in computer science or a related field.
• 10+ years of experience in software engineering and scaling software products, providing technical leadership and direction for development, preferably with a focus on ecommerce, payments, digital products, and back-end platform development.
• Experience building comprehensive understanding of APIs, microservices, and other complex backend systems.
• Strong coding skills, navigating codebases with different languages (GoLang, Java, Kotlin and Swift) and tools, building and managing ci/cd pipelines supporting both web and mobile releases.
• Knowledge of potential system vulnerabilities and how to prevent them.
• Experience operating in start-up settings, launching 0 to 1 product, supporting early low-code tools, and driving graduation to highly customized applications.
• Experience as a technical lead for large projects (6+ months in length), including defining the roadmap for complex projects spanning multiple teams and functions
• Ability to internalize the best ideas from across the organization, humbly setting a vision that others are excited to get behind
• Experience integrating with 3rd party platforms and partnering with external service providers.
• 5+ years in leading high-performing software engineering teams. Direct evidence of the ability to guide, motivate, and inspire a team towards the successful completion of complex projects.

Nice to have

• Experience building data pipes and web/mobile analytics.
• Experience building systems in auto industry
• Full-stack development

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $165,000.00 - $200,000.00

Initial California base salary range = $181,500 - $220,000

Internal leveling code: IC8

What you’ll do

As the Senior Staff Software Engineer for Scout Motor’s digital products, you will be responsible for leading a team of highly skilled software engineers and driving the development of digital solutions for our customers and business partners. Some of the key products as part of digital portfolio are – order management, customer management, marketing, production, inventory and planning optimization, loyalty, merchandise, servicing and repairs, mobile app, vehicle connectivity, and more. You will work with engineering managers, senior engineers, and cross-functional partners to design the technical underpinnings of the product. At the same time, you’ll have plenty of opportunities to be hands-on building key systems and will be directly responsible for the successful delivery of complex and large-scale technical efforts as well acting as a technical mentor and leader for other engineers. 

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Work with engineers & technical leaders across the company to ship interoperable products and systems on strong foundations that manage customer interactions inside and outside of the vehicle. 
• Partner with cross-functional partners (from product and design) to produce how and when plans to support systems and product requirements. Make effective tradeoffs that consider business priorities, user experience, and a sustainable technical foundation 
• Assess and recommend key tools and technology decisions that will power the digital product ecosystem. Influence decisions on build/buy/partner, contemplating today’s needs, and future enterprise requirements. 
• Develop technology and best practices capable of supporting scalable, functional, and reliable software products and their associated integrations.  
• Develop and lead the team to execute against both short-term and long-term roadmaps. Design, code, deploy and operate technical architecture and systems.  
• Identify, scope, and lead large technical projects, laying the groundwork for early-stage products to iteratively evolve and scale, and taming complexity and shoring up reliability of existing systems 
• Champion software engineering and operational excellence, establishing and improving metrics and processes. Set a high bar for engineering standards, tooling, and processes. 
• Assist in calibrating and developing the software engineering team. 
• Recruit and manage a team of software engineers, setting the bar for quality software development. 

Location & Travel Expectations:

• This role will be based out of a Scout Motors location in Fremont, CA.
• The responsibilities of this role require attendance in the office with in-person meetings and events regularly.
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

• Bachelor's or master's degree in computer science or a related field.  
• 10+ years of experience in software engineering and scaling software products, providing technical leadership and direction for development, preferably with a focus on ecommerce, payments, digital products, and back-end platform development. 
• Experience building comprehensive understanding of APIs, microservices, and other complex backend systems. 
• Strong coding skills, navigating codebases with different languages (GoLang, Java, Kotlin and Swift) and tools, building and managing CI/CD pipelines supporting both web and mobile releases.   
• Knowledge of potential system vulnerabilities and how to prevent them. 
• Experience operating in start-up settings, launching 0 to 1 product, supporting early low-code tools, and driving graduation to highly customized applications. 
• Experience as a technical lead for large projects (6+ months in length), including defining the roadmap for complex projects spanning multiple teams and functions 
• Ability to internalize the best ideas from across the organization, humbly setting a vision that others are excited to get behind  
• Experience integrating with 3rd party platforms and partnering with external service providers.  
• 4+ years in leading high-performing software engineering teams. Direct evidence of the ability to guide, motivate, and inspire a team towards the successful completion of complex projects.  

Preferred:

• Experience building data pipes, AI/ML and web/mobile analytics. 
• Experience building systems in auto industry 
• Full-stack development  

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $180,000.00 - $220,000.00

CA initial base salary range= $198,000 - $242,000

Internal leveling code: IC7

Overview

Scout’s infotainment apps are the digital heart of our vehicles—powering navigation, EV charging, media, HVAC, cameras, voice, connectivity, and vehicle controls. We’re looking for a Software Engineer to build Android/AOSP/AAOS apps, frameworks, and SDKs that deliver a seamless, Scout-branded HMI experience.

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Design and implement Kotlin/Java Android apps and frameworks for infotainment
• Deliver features quickly using test-driven development
• Collaborate with UX, product, instrument cluster, and mobile teams to ensure end-to-end quality
• Contribute to architecture, code reviews, and team best practices

Location & Travel Expectations:

• This role will be based out of the Scout Motors location in Fremont, California.
• This role requires 4-5 days per week in the office, with regular in-person meetings and events. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

• BS/MS degree in computer science or related field
• 10+ years of Android app development
• Expertise in Android OS, AOSP/AAOS, Kotlin/Java, and embedded app design
• Pragmatic problem-solver who thrives in ambiguity and drives high-quality solutions
• Excellent communicator and collaborator with a focus on quality and impact

Why You’ll Love It

• Shape cutting-edge infotainment platforms for EVs and off-road vehicles
• Work with world-class engineers and designers
• See your features impact millions of drivers
• Stay at the forefront of Android/AOSP innovation in a fast-paced, high-autonomy environment

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $180,000.00 - $220,000.00

Initial California base salary range = $198,000-$242,000

Internal leveling code: IC7

THE ROLE

Join the Portworx team to drive the future of virtualization on Kubernetes as a Software Architect, Virtualization and Kubevirt. You will be the technical authority, integrating deep expertise in KubeVirt, libvirt, and QEMU with Portworx's industry-leading storage platform. This high-impact role is focused on delivering secure, scalable, and best-in-class solutions for customers adopting next-generation cloud-native virtualization. You will collaborate across engineering teams and contribute to major open-source communities.

WHAT YOU'LL DO

• Architect and implement critical virtualization features within Portworx's Kubernetes-native storage offerings, focusing on performance, resilience, and scalability.

• Serve as a technical leader in the KubeVirt, libvirt, and QEMU ecosystems, driving and contributing to the design and implementation of VM lifecycle management and performance optimizations.

• Define technical roadmaps and lead the execution of complex engineering projects that blend advanced storage capabilities with cloud-native virtualization solutions.

• Mentor and elevate the engineering team on advanced virtualization architecture, distributed systems best practices, and sophisticated debugging techniques, acting as a force multiplier.

• Resolve the most complex and cross-functional virtualization and storage challenges across large-scale Kubernetes clusters, ensuring the highest level of product quality and customer experience.

• We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara, CA office in compliance with Everpure’s policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

• 10+ years of development experience

• Deep, demonstrable expertise in core virtualization technologies, including KubeVirt, libvirt, and QEMU.

• Expert-level proficiency in designing, developing, and testing production-grade distributed systems software using C++, Go or Java.

• Exceptional understanding of Kubernetes internals, including a track record of designing and implementing custom controllers, CRDs, and deep integration with the scheduler.

• Strong experience with storage datapath, virtualization or Kubernetes.

• Mastery of distributed systems concepts, software design patterns, and performance analysis, with an ability to apply them to large-scale, high-availability storage and virtualization solutions.

 #LI-ONSITE

THE ROLE:

We are actively seeking highly motivated engineers who excel in dynamic, small-team settings. You will get a chance to contribute to innovative product ideas that tackle challenges within massive-scale storage environments.

We are looking for skilled and dynamic Software Quality Engineers with a strong focus on automation to join our team. In this role, you will be a key player in ensuring the delivery of high-quality software through rigorous testing, building and leveraging a scalable test automation, and contributions to building high-performance systems.  You will actively participate in designing tests, developing and maintaining test sets and strategies, and collaborating with peers and stakeholders to achieve comprehensive test coverage. You will work closely across kernel and OS layers, gaining exposure to end-to-end system interactions, I/O paths, and performance characteristics. Strong troubleshooting skills are essential, particularly in diagnosing complex server and storage issues across hardware and software boundaries.

WHAT YOU'LL DO:

• Designing and implementing automated tests throughout the entire lifecycle of product development and support.
• Creating, developing, and maintaining automated test sets and test strategies for various products.
• Collaborating with peers and stakeholders to identify requirements and contribute to solutions from initial test design to a comprehensive testing suite.
• Working closely with Support and Escalation teams to replicate and identify the root cause of customer issues.
• Identifying, analyzing, and thoroughly documenting any defects discovered during automated testing.
• Proactively identifying test gaps, conducting root cause analysis, and contributing to closing the loop on defects found by customers.
• We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara, CA office in compliance with Everpure’s po

WHAT YOU BRING:

• 5+ years of experience in software system testing or equivalent.
• Proficient in System level testing with a strong emphasis on end-to-end automation and product validation.
• Hands-on experience in automation using Python, Go, Java, Kotlin, and/or similar languages.
• Knowledge of quality engineering to identify test coverage gaps, raising defects, and ensuring comprehensive end-to-end validation.
• Ability to establish and contribute to system stability, resiliency, and liveliness testing at scale.
• Familiarity with working of SSD/NVMe based devices; block, object or file storage systems.
• Analyze test results, debug failures, and drive issues to resolution by collaborating with development, QE, product management, and customer support teams.
• Ability to deploy lab environments, including testbed configuration, resource orchestration, and integration of third-party workloads/tools.
• Capable of prioritizing multiple projects in a fast-paced environment.
• Demonstrated strong analytical and creative problem-solving abilities, coupled with a natural curiosity and excellent written, verbal, and interpersonal communication skills.

#LI-ONSITE

THE ROLE

You will be a key Senior Software Engineer driving the digital transformation of Everpure focused on innovating and enhancing our Modern Data platforms. Your mission is to design and implement highly reliable, high-performance algorithms and technologies that redefine the customer experience. This role requires an senior engineer who will use a deep understanding of organizational objectives to resolve complex issues and deliver innovative, end-to-end solutions alongside cross-functional engineering and product teams.

WHAT YOU'LL DO

• Implement strategic policies and develop novel, high-performance algorithms for distributed systems, ensuring the achievement of challenging goals (e.g., six 9's reliability).

• Own the end-to-end delivery of innovations, from initial concept and design through final testing and deployment into a shipped product, driving critical business outcomes.

• Analyze and resolve complex technical issues where a deep evaluation of variable factors is required, serving as a subject matter expert and selecting appropriate methods and techniques for obtaining results.

• Network with key contacts outside your immediate area of expertise to gather requirements and validate solutions, influencing system design decisions across functional boundaries.

• Mentor junior engineers and coordinate the technical activities of a project sub-team to maintain schedules and align with architectural vision.

WHAT YOU BRING

• Extensive experience designing, developing, and deploying systems software using languages such as C++, Java, or Go.

• In-depth knowledge and proven ability to successfully implement solutions within complex systems software domains (e.g., Distributed Systems, Operating Systems, Database Internals, Containerization).

• Demonstrated expertise in selecting methods, techniques, and evaluation criteria to resolve complex technical issues, exercising independent judgment in solution implementation.

• Strong design sensibility and the ability to articulate, advocate for, and defend architectural choices in a collaborative, team-oriented environment.

• A track record of establishing and assuring adherence to performance requirements, work plans, and schedules for significant engineering initiatives.

• We are primarily an in-office environment and therefore, you will be expected to work in the Santa Clara office in compliance with Everpure’s policies, unless you are on PTO, or work travel, or other approved leave.

#LI-ONSITE

THE ROLE

Pure1 is the unifying manageability and intelligence layer on top of all Everpure products and services - FlashArray, FlashBlade, CBS, Portworx and more. It is the nexus of our promise of a simple customer experience, providing insights and tools to help make our customers’ lives better.

WHAT YOU'LL DO

• System Design & Architecture; Design and build secure, reliable, scalable, performant, and fault-tolerant systems
• Develop and promote adoption of best practices in software development, system design, operations, and DevOps with a focus on operational excellence and monitoring.
• End-to-End Ownership and Technical Leadership
• Provide technical vision, strategy, and leadership for your team, driving full lifecycle ownership of services from inception to production
• Anticipate bottlenecks and architect innovative solutions
• Drive best practices and operational excellence both at the team and organizational level
• Act as a product owner, driving customer-centric features
• Coach and mentor junior and mid-level developers to help them grow technically and understand best practices
• Project & People Management
• Lead medium to large software projects, coordinating requirements, estimates, priorities and schedules
• Guide an effective, motivated, high-performing software team focused on delivery and operational excellence
• Excellent communication skills
• Recruit, hire and develop top-tier software engineering talent

WHAT YOU BRING

• 8+ years experience developing enterprise/cloud software using Java or related programming languages, with 3+ years in a tech lead or similar role
• Have led multiple projects from conception to release, while coordinating the work of multiple engineers and acting as first point of contact for cross functional teams
• Proven design sensibility and the willingness to work in a collaborative, team oriented environment
• Ability to work on multiple concurrent projects, with fast context switching between them
• Hands-on experience with AWS, Mongo DB, Kubernetes, containerization, Spring Boot or similar technologies
• A BS degree in Computer Science; advanced degrees are a bonus!

We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara office in compliance with Everpure’s policies, unless you are on PTO, or work travel, or other approved leave.

#LI-ONSITE

The Impact You’ll Be Contributing to Moloco: 

• We're seeking a software engineer to help us design, develop and maintain the backend of our state of the art Moloco Commerce Media (MCM) product
• You will be responsible for developing an ML-based online advertising platform for the rapidly growing retail media industry
• You will play a pivotal role building and developing our enterprise-ready solution. We’ve determined clear market fit and are now seeking senior and staff engineers to refine the MCM product
• You will lead feature development, design, optimization, testing, and maintenance of software applications and solutions for internal and external end users
• You will mentor others on the team and have the opportunity to lead high-impact projects

The Opportunity: 

• Build and maintain core APIs for the ad campaign lifecycle in MCM: create, target, budget, bid, pace, pause, and approve.
• Deploy reporting and analytics APIs that provide answers to spend, performance, and attribution questions in near real-time and batch.
• Integrate billing and invoicing flows from start to finish: spend tracking, invoice generation, and multi-currency support.
• Design services that remain fast and reliable at scale.
• Collaborate with PM, data science, and partner teams to turn goals into clear milestones and documentation.
• Operate what you build: dashboards, alerts, runbooks, and an on-call rotation that is healthy and respectful.
• Mentor other engineers through code reviews, pairing, and technical design discussions.
• Explore and prototype next-generation features such as advanced ad performance analytics and creative-level reporting across millions of campaign items.

How Do I Know if the Role is Right For Me? 

• 5+ years of software engineering experience using one or more modern languages such as Go, Java, Python 
• Experience with enterprise SaaS applications
• Outstanding problem-solving skills and a passion for delivering high-quality, innovative solutions
• Interest and experience in platforms in the advertising or e-commerce domains
• Experience working with large-scale distributed systems
• System design and development skills; from gathering requirements to design to implementation to production
• Experience in Cloud/Big Data platforms (e.g., AWS, GCE, GCP, Beam, Spark, BigTable, BigQuery etc.) 
• Programming fundamentals, testing, and common algorithms and structures
• Strong analytical troubleshooting skills
• Growth mindset, with a passion for staying updated on emerging technologies and industry trends, and a willingness to share knowledge and mentor others
• Excellent communication and collaboration skills

The Impact You’ll Be Contributing to Moloco:

Moloco Commerce Media (MCM) is growing its engineering team to support our expanding number of customers with engineering rigor and efficiency. We are looking for an experienced engineer, who can both lead complicated feature developments from end to end and can provide deep technological consultations both to customers and our business team members alike. Our systems will need to be supported at a global scale handling billions of ad auctions per day, while our cutting-edge machine learning (ML) delivers high performance for advertisers and quality experiences for retail shoppers. The Ad Serving team in MCM engineering is responsible for the foundational systems underlying this platform, closely collaborating with campaign management, data infrastructure, and customer integrations.

The Opportunity:

• Design, develop and operate an end-to-end enterprise platform that remains fast, reliable and secure at scale.
• Build and maintain APIs and features for ad serving, while shaping the technical roadmap for the future of the product.
• Provide technical leadership and guidance for both internal/external engineering teams and cross functional business teams.
• Directly engage with customers to identify gaps, translate real world needs into engineering solutions, and deliver outcomes including legacy platform migrations, data connectors, bespoke features, workflows and analytics.
• Contribute to the strategic vision of the platform, strongly influencing technical decisions and long-term architecture.
• Explore and prototype next generation features including those enabled by generative AI.

How Do I Know if the Role is Right For Me?

• 7+ years software development experience using one or more modern languages such as Java, C++, Go, and Python.
• 2+ years of leadership experience in delivering technical projects with a small (3+) team of engineers. 
• Hands-on experience with large-scale distributed systems, from requirements gathering and design to implementation and production deployment.
• Experience in building platforms for digital advertising or e-commerce applications.
• Experience with cloud-based technologies (e.g., AWS, GCE, GCP, Beam, Spark, BigTable, BigQuery etc.)
• Experience working directly with customers having varying levels of technical knowledge, and translating their ambiguous requirements into actionable roadmaps and technical solutions.
• Excellent problem-solving skills and the ability to work independently in a fast-paced environment.
• Strong interpersonal and communication skills, with the ability to build and maintain cross-functional and customer relationships.
• Willingness to travel as needed (up to 15% travel).
• Communication proficiency, capable of elaborating engineering concepts and product features in detail even to non-technical audiences.

The Impact You’ll Be Contributing to Moloco:

As a Senior Machine Learning Engineer on Moloco’s Ads Quality team, you’ll design and scale machine learning systems that directly improve ad relevance, ranking, and optimization. Your work will have a measurable impact on advertiser performance, revenue efficiency, and the overall user experience across Moloco’s ad platform.

The Opportunity:

• Design, build, and deploy large-scale ML systems for ad ranking, click-through prediction, and conversion optimization
• Develop and operate production pipelines that process hundreds of millions of ad requests per day with low-latency requirements
• Collaborate directly with customers and partners in Mandarin to understand business goals and deliver data-driven ML solutions
• Apply systematic, reproducible approaches to model training, evaluation, and continuous improvement
• Partner with the Machine Learning Infrastructure and Data teams to improve tooling, deployment pipelines, and training efficiency
• Lead design and code reviews to promote technical excellence and standardize ML practices across Ads teams
• Diagnose model performance, identify optimization opportunities, and execute experiments that drive measurable results
• Mentor engineers on best practices for ML experimentation, productionization, and scaling
• Work cross-functionally with product, infrastructure, and business teams to align technical innovations with product goals

How Do I Know if the Role is Right For Me?

• You have 7+ years of experience building and deploying ML systems at scale, ideally in AdTech, recommender systems, or search/ranking domains
• You’ve shipped models that directly improved key product or business metrics such as CTR, CVR, or ROI
• You’re fluent in Mandarin Chinese and skilled at collaborating with customers or partners in technical discussions
• You have strong software engineering fundamentals: data structures, algorithms, and system design and proficiency in Python (C++ or Java a plus)
• You’re experienced with modern ML frameworks such as PyTorch, TensorFlow, or JAX
• You’ve worked with distributed data and compute systems like Apache Beam, Dataflow, or Flume
• You understand how to build robust ML pipelines including data versioning, feature engineering, retraining, and model monitoring in production
• You have experience optimizing inference performance on GPUs, TPUs, or similar hardware accelerators
• You thrive in fast-moving, ambiguous environments and can translate complex technical work into measurable business outcomes
• You value collaboration, accountability, and building systems that scale across teams and markets

The Impact You’ll Be Contributing to Moloco

• You will be responsible for developing an ML-based online advertising platform for the rapidly growing retail media industry.
• You will play a pivotal role designing, developing and optimizing the data infrastructure and pipelines to build robust and scalable solutions that power Moloco’s data-driven products.
• You will mentor others on the team and have the opportunity to lead high impact projects.

The Opportunity

• Design and develop complex data pipelines and ETL processes for manipulating and managing big data.
• Improve cost effectiveness of data pipelines, storage, and databases, both independently and in collaboration with cross-functional teams.
• Design and implement data quality and governance processes to ensure data accuracy, consistency, and compliance.
• Enhance system scalability, availability, and performance across Moloco Commerce Media’s data infrastructure.
• Develop internal tools to boost developer productivity and system efficiency.
• Participate in cross-functional projects and initiatives, providing technical expertise and guidance.
• Collaborate with teams such as Infrastructure, Machine Learning, Data Science, Analytics, and Production to build the best ad platform.
• Tech lead a small team to contribute to high-impact projects.

How Do I Know if the Role is Right For Me?

• Bring 6+ years of software engineering experience using modern languages such as Java, C#, Go, C++, Python, and foundational SQL knowledge, with proficiency in SQL or NoSQL database technologies.
• Demonstrate experience with computer systems architecture, operating systems, or distributed systems.
• Possess extensive experience with cloud platforms (e.g., AWS, Azure, Google Cloud) or equivalent on-premise systems.
• Apply strong programming fundamentals, testing practices, and knowledge of common algorithms and data structures.
• Exhibit system design and development skills, especially in large-scale environments.
• Work with at least one of the following: data modeling, analytics, data management, or big data processing/MapReduce.
• Display strong analytical and troubleshooting skills in ambiguous or evolving environments.
• Maintain a growth mindset, staying updated on emerging technologies and industry trends, and sharing knowledge with others.
• Communicate and collaborate effectively across teams.
• Deep, hands-on experience in ads infrastructure (bidding, pacing, budget optimization, or measurement) at large revenue scale a plus. 

The Impact You’ll Be Contributing to Moloco: 

Moloco Commerce Media (MCM) 

• enables marketplaces to leverage the recent advances in AI for delivering tailored ads to relevant users, driven by first-party data. MCM has established a strong product market with several leading marketplaces working with us to show relevant ads. 
• We’ve established our MCM’s product market fit with strong interest in our product. MCM is an important product that is key to Moloco’s continued success and is in a high growth phase. The science team supports MCM's growth by supporting the launch of new features through modeling, algorithmic and analytical excellence. As a Senior Applied Scientist focused on ML in MCM, you will have the opportunity to work on and improve various components of our ad-tech stack including ranking, retrieval, auction/bidding and budget pacing. We highly value prior experience in working in ad-tech. 

What You’ll Do:

• Conduct deep-dive analysis to influence R&D decisions and strategies: analyze large datasets, extract valuable signals out of noise, and design state of the art machine learning models to optimize Moloco’s complex bidding system. 
• Design and deploy advanced optimization approaches to improve our ad-delivery: identifying the best ranking, retrieval and bidding strategies that strike the right balance between ROI and revenue trade-offs. 
• Leveraging the latest advances in deep learning to evaluate and improve our search quality. 
• Build the right metrics for product areas and guide ramps with domain data expertise: improve performance monitoring of a large and complex ads ecosystem by establishing the right metric framework, and understanding cause-and-effect relationships across drivers; guiding ramp decisions through rigorous A/B testing.

Basic Qualifications:

• MS or Ph.D. degree in a quantitative discipline with exposure to advanced modeling and statistical techniques. 
• 6+ years of work experience (industry or postgraduate) in data science related fields or an advanced degree such as Master’s or PhD in a quantitative discipline with 4+ years of experience.
• Experience with one or more programming languages including Python, Java or C++ 
• Past experience with ad-tech/ranking/retrieval and/or search quality is preferred.

Preferred: 

• 4+ years of experience (industry or postgraduate) in Data Science, with a heavy focus on experimentation and causal inference in a high-growth tech environment (AdTech  preferred).
• Demonstrated leadership and self-direction. Able to seek out new business questions and effectively scope projects to improve our ML model performance.

The Impact You’ll Be Contributing to Moloco:

• We're seeking a software engineer to help us design, develop and maintain the backend of our state of the art Moloco Commerce Media (MCM) product
• You will be responsible for developing an ML-based online advertising platform for the rapidly growing retail media industry
• You will play a pivotal role building and developing our enterprise-ready solution. We’ve determined clear market fit and are now seeking senior and staff engineers to refine the MCM product
• You will lead feature development, design, optimization, testing, and maintenance of software applications and solutions for internal and external end users
• You will mentor others on the team and have the opportunity to lead high-impact projects

The Opportunity:

• Design and ship agentic software that helps advertisers manage campaigns through natural language interfaces and intelligent automation
• Build customer-facing applications that combine LLM capabilities with robust backend systems—from conversational campaign creation to AI-assisted performance insights
• Own the full stack: React/TypeScript frontends, Go/Python/Java services, and the infrastructure that connects them
• Collaborate closely with PM, data science, and partner teams to shape product direction and turn ambiguous goals into shipped features
• Operate what you build: dashboards, alerts, runbooks, and a sustainable on-call rotation
• Mentor engineers through code reviews, pairing, and design discussions
• Prototype and explore what's next—advanced analytics, creative-level reporting, and AI capabilities we haven't imagined yet

How Do I Know if the Role is Right For Me?

• 5+ years of software engineering experience
• Full-stack development experience—you're comfortable across the frontend, backend, and the glue in between
• Hands-on experience building LLM-based applications (agents, tool use, prompt engineering, or similar)
• System design and development skills; from gathering requirements to design to implementation to production
• Experience in Cloud/Big Data platforms (e.g., AWS, GCE, GCP, Beam, Spark, BigTable, BigQuery etc.)
• Programming fundamentals, testing, and common algorithms and structures
• Track record of shipping customer-facing products
• Growth mindset—you stay current on emerging technologies and enjoy sharing knowledge with others
• Excellent communication and collaboration skills

CHAOS Industries is redefining modern defense with omniscient systems purpose-built for today’s realities. Designed and built by top U.S. military veterans and Silicon Valley innovators, CHAOS Industries’ products are powered by Coherent Distributed Networks (CDN™), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats. In a world where technological threats move at unprecedented speed, CHAOS Industries delivers advanced sensing and detection solutions that give the ultimate advantage: time.   

CHAOS Industries was founded in 2022 and has raised $1B in total funding from leading investors including 8VC, Accel, and NEA. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, Seattle, and London. For more information, please visit www.chaosinc.com. 

The Role

We're looking for a software engineer to build the backend systems that power our sensor infrastructure — the services that ingest, process, and serve data from radar, RF, and other sensing systems at scale. You'll design and operate cloud-native systems on Azure, working alongside systems, hardware, and software engineers in a small team with high autonomy.

This is an early-stage role with outsized impact. You'll define architecture decisions, ship production code, and see your work protecting people's lives.

What You'll Do
- Design and build scalable backend services in Python that process and serve sensor data on Azure
- Architect cloud infrastructure for high-throughput, low-latency data pipelines
- Build and maintain CI/CD pipelines, testing infrastructure, and release processes
- Work directly with hardware and systems engineering teams to integrate software with physical sensor systems
- Define software architecture decisions as a foundational member of the team
- Mentor engineers as the team grows
- Travel periodically to other offices (LA, DC) and customer sites

Requirements
- 3+ years of professional software development experience
- Strong proficiency in Python
- Experience designing and operating scalable backend systems in cloud environments (Azure strongly preferred)
- Track record of building and supporting production systems — you've been on-call, debugged outages, and shipped under pressure
- Proficiency with modern engineering practices: git, unit testing, CI/CD, code review
- Must be a U.S. Person (U.S. citizen or permanent resident) — required for access to controlled technology
- Ability to obtain and maintain a U.S. security clearance

Strongly Preferred
- Experience at a top-tier technology company building systems at scale
- Background building data-intensive pipelines, streaming architectures, or real-time systems
- Experience with infrastructure-as-code, containerization (Docker/Kubernetes), and cloud-native architecture on Azure
- Interest in defense, aerospace, or national security technology

Nice to Have
- Active Secret or Top Secret clearance
- TypeScript/React frontend experience
- 2D/3D data visualization (mapping, geospatial, point clouds)
- Software Defined Radio or RF/IQ data processing experience
- Sensor development background (radars, EO/IR, EW, sensor fusion)
- Additional languages: Rust, Node.js, Java, Bash
- COTS hardware integration experience

Why CHAOS?

• Health Benefits: Medical, dental, and vision benefits 100% paid for by the company
• Additional benefits: 401k (+ 50% company match up to 6% of pay), FSA, HSA, life insurance, and more
• Our Perks: Free daily lunch, ‘No meeting Fridays’, unlimited PTO, casual dress code
• Compensation Components: Competitive base salaries, generous pre-IPO stock option grants, relocation assistance, and (coming soon!) annual bonuses
• Team Growth: 200 employees and counting across 5 global offices

The stated compensation range reflects only the targeted base compensation range and excludes additional earnings such as bonus, equity, and benefits. If your compensation requirements fall outside of the range, we still encourage you to apply. The salary range for this role is an estimate based on a range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations.

#LI-onsite

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.

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
We are seeking a Site Reliability Engineer to join our Core Platform Engineering organization. The SRE team builds the automation, observability, and operational foundations that ensure ID.me’s services are reliable, scalable, and secure. 

As an SRE, you will play a pivotal role in building the platform and governance processes required to safely scale, deploy, and operate a high volume of machine-generated applications and features. You will design and implement the automated guardrails that maintain our high standards for resilience and security in an AI-accelerated development environment. You’ll focus on infrastructure automation, observability, performance optimization, and incident response, partnering closely with Software Engineering teams to foster a culture of reliability and operational excellence.

This role is based out of our Mountain View, CA or McLean, VA offices and requires full-time in-office attendance, 5 days per week.

Responsibilities

• Build and maintain automated reliability tooling, infrastructure as code, and observability systems that enhance uptime and service performance.
• Develop monitoring, logging, and alerting frameworks (e.g., Prometheus, Grafana, OpenTelemetry) to detect and remediate issues proactively.
• Implement automated architectural reviews and reliability guardrails for agent-developed applications to ensure machine-generated code meets long-term maintainability and performance standards.
• Partner with engineering teams to design and implement scalable, fault-tolerant systems that meet defined SLIs and SLOs.
• Automate repetitive operational tasks and develop self-healing and auto-remediation mechanisms to minimize human intervention.
• Participate in on-call rotations and lead incident response efforts, performing post-incident reviews and driving systemic improvements.
• Improve the deployment and release process using CI/CD pipelines and progressive delivery techniques to ensure stability and safety.
• Champion observability, reliability, and operational readiness reviews as part of the development process.
• Collaborate with Security and Compliance teams to ensure production systems meet FedRAMP, NIST, and internal policy requirements.
• Contribute to documentation, runbooks, and internal tooling to enhance knowledge sharing and operational maturity across teams.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
• 3-5 years of experience in Site Reliability Engineering, DevOps, or Infrastructure Engineering.
• 2+ years of hands-on experience managing and scaling services in cloud environments such as AWS, GCP, or Azure.
• 1+ years proficiency in at least one modern programming language (e.g., Java, Go, Python, Ruby, JavaScript).

Preferred Qualifications

• Strong understanding of containerization and orchestration technologies (Docker, Kubernetes).
• Experience implementing and maintaining CI/CD pipelines and automation frameworks.
• Working knowledge of observability systems—metrics, tracing, logging, and alerting.
• Experience building automated recovery, failover, or chaos-engineering systems to validate reliability.
• Familiarity with event-driven architecture and asynchronous processing systems.
• Knowledge of distributed systems design, load balancing, and performance optimization.
• Exposure to infrastructure-as-code tools (Terraform, Pulumi, Ansible) and GitOps practices.
• Understanding of security and compliance frameworks (FedRAMP, SOC2, or NIST 800-53).
• Strong analytical and troubleshooting skills across the stack—from network to application layer.
• Excellent communication and documentation skills, with a focus on cross-team collaboration and continuous improvement.
• Experience using AI agentic coding assistants and deploying custom AI agents or automated workflows into production environments.

OVERVIEW

We are seeking a motivated and technically strong intern to join our Corporate Systems tech team. As our Engineering, HR/Payroll Systems Intern, you will support the team and the business as we approach the transformation of our Payroll systems. You will have exposure to how we approach Business Process engineering, solution requirements and design for our internal systems.

The Alo internship programs starts June 8th and ends July 31st. Interns will be working 40 hours a week at our Beverly Hills HQ.

RESPONSIBILITIES  

• Apply theoretical learnings from your academic study and develop skills to support a future career in HR systems
• Work with the HR & Payroll Business team in the capacity of a Technical Analyst/Engineer
• Document functional requirements for key projects assigned
• Partner with Developers and Engineers to create prototypes and functional design solutions
• Create Pseudo Algorithms
• Write Business use case and functional requirements for new features
• Develop code/programs in ERPs such as Oracle Fusion and FDM4
• Create test scenarios and success criteria for functional solutions
• Lead or assist on projects using a hands-on approach
• Build Interfaces and develop code for new functionality or able to write functional flow

QUALIFICATIONS

• Currently pursuing or recently completed a degree in Computer Science
• Good knowledge of programming languages such as JAVA, SQL & PL/SQL, PYTHON or C - OR - Good knowledge of financial processes, accounting procedures and financial applications. College subjects should cover financials topics
• Proficient in Microsoft Office Power Point, Excel, Visio, Lucid Charts, google docs
• Excellent written, verbal and listening skills
• Learn from the best by interacting with a dynamic team of professionals
• Ability to document requirements and keen attention to details
• Ability to speak in front of groups that include both business and IT partners

The base pay range for this position is $45/hr-$50/hr which represents the current range for the non-exempt position. Please note that actual pay will vary based on factors including but not limited to location, experience, and performance.

OVERVIEW

We are seeking a motivated and technically strong intern to join our Corporate Systems tech team. As our Software Engineering, Finance Systems Intern, you will support the team and the business as we approach the transformation of our ERP (Employee Resource Planning) systems. You will have exposure to how we approach Business Process engineering, solution requirements and design for our internal systems.

The ALO internship programs starts June 8th and ends July 31st. Interns will be working 40 hours a week at our Beverly Hills HQ.

RESPONSIBILITIES  

• Apply theoretical learnings from your academic study and develop skills to support a future career in Financial systems
• Work with the Finance Business team in the capacity of a Technical Analyst/Engineer
• Document functional requirements for key projects assigned
• Partner with Developers and Engineers to create prototypes and functional design solutions
• Create Pseudo Algorithms
• Write Business use case and functional requirements for new features
• Develop code/programs in ERPs such as Oracle Fusion and FDM4
• Create test scenarios and success criteria for functional solutions
• Lead or assist on projects using a hands-on approach
• Build Interfaces and develop code for new functionality or able to write functional flow

QUALIFICATIONS

• Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science
• Good knowledge of programming languages such as JAVA, SQL & PL/SQL, PYTHON or C - OR - Good knowledge of financial processes, accounting procedures and financial applications. College subjects should cover financials topics
• Proficient in Microsoft Office Power Point, Excel, Visio, Lucid Charts, google docs
• Excellent written, verbal and listening skills
• Learn from the best by interacting with a dynamic team of professionals
• Ability to document requirements and keen attention to details
• Ability to speak in front of groups that include both business and IT partners

The base pay range for this position is $45/hr-$50/hr which represents the current range for the non-exempt position. Please note that actual pay will vary based on factors including but not limited to location, experience, and performance.

OVERVIEW

We are seeking a motivated and technically strong Computer Science Intern – Product Information Management (PIM) to join our Biz Tech Operations team. This internship offers a unique opportunity to design and build a foundational Product Information Management (PIM) capability that will serve as a single, trusted source of product data across ALO’s technology ecosystem. 

Today, product information is distributed across multiple systems—including NGC PLM, FDM4 ERP, FDM4 WMS, Shopify, and spreadsheets—resulting in duplicated integrations, inconsistent data, and manual workarounds. As an intern, you will help design and implement a centralized PIM solution built on ALO’s data lake (Amazon Redshift) and supporting data pipelines, enabling all downstream systems, services, and teams to reliably source product data from a single platform. 

This work will create a scalable foundation that can be expanded over time with additional product attributes, governance, and automation to support ALO’s continued growth and tech environment expansion.

The ALO internship programs starts June 8th and ends July 31st. Interns will be working 40 hours a week at our Beverly Hills HQ.

RESPONSIBILITIES  

• Partner with Tech, Business, and downstream application teams to help define the vision, scope, and requirements for a centralized Product Information Management (PIM) solution
• Design and implement a foundational PIM data model that consolidates product data from multiple enterprise systems, including: 
  • PLM 
  • ERP
  • WMS
  • Shopify
  • Existing datasets in Amazon Redshift
• Build and enhance data pipelines into the data lake (Redshift) to ensure required product attributes are available, current, and reliable
• Develop SQL-based transformations and views that create canonical product records suitable for consumption by multiple systems and microservices
• Assist in defining data ownership, source-of-truth rules, and attribute-level lineage (e.g., which system owns which product attributes)
• Collaborate with Business Analysts and stakeholders to document product data requirements and translate business needs into technical solutions
• Create and maintain technical documentation, including: 
  • Product data models 
  • Source-to-target mappings 
  • Data flow diagrams 
  • Attribute definitions and dependencies 
• Support downstream consumption of PIM data by helping define access patterns (e.g., database views, exports, APIs, or service interfaces)
• Validate data quality and consistency across systems, identifying gaps, conflicts, and opportunities for standardization
• Learn and apply best practices for data modeling, data engineering, and platform design in a real-world enterprise environment

QUALIFICATIONS

• Currently pursuing a degree in Computer Science, Data Science, Information Systems, or a related technical field
• Strong working knowledge of SQL and relational databases
• Understanding of data modeling concepts, including entities, attributes, relationships, and normalization
• Experience with or exposure to ETL / ELT pipelines and data integration concepts
• Familiarity with one or more programming or scripting languages such as Python, Java, or C# is a plus
• Interest in enterprise systems, data platforms, and foundational architecture
• Strong problem-solving skills and comfort working with ambiguous and evolving requirements
• Ability to communicate technical concepts clearly to both technical and non-technical stakeholders 
• A strong desire to build systems that will be used and extended by others over time

NICE TO HAVE

• Exposure to Product Information Management (PIM), Master Data Management (MDM), or data governance concepts
• Familiarity with cloud data platforms (AWS, Azure)
• Experience integrating data from SaaS platforms (e.g., Shopify or PLM systems)
• Coursework or projects involving data architecture or enterprise systems

The base pay range for this position is $45/hr-$50/hr which represents the current range for the non-exempt position. Please note that actual pay will vary based on factors including but not limited to location, experience, and performance.

OVERVIEW

ALO's Digital Engineering team is looking for a highly motivated Graduate or PhD-level Intern with strong foundations in computer science and modern internet-scale systems. This role is designed for candidates who want hands-on experience building and scaling server-side systems, cloud-native services, and AI-assisted development workflows in a real-world, production environment.

You will work closely with senior engineers on designing, developing, and optimizing distributed systems that power ALO's digital platforms.

The ALO internship programs starts June 8th and ends July 31st. Interns will be working 40 hours a week at our Beverly Hills HQ.

RESPONSIBILITIES  

• Design, develop, and test server-side components and APIs
• Assist in building and scaling distributed cloud-based systems
• Collaborate with senior engineers on architecture and implementation decisions
• Apply AI-assisted coding tools to improve productivity and code quality
• Write clean, maintainable, and well-documented code
• Participate in code reviews and technical discussions

QUALIFICATIONS

• Master's degree in computer science, Software Engineering, or a related field OR PhD candidate in Computer Science or a closely related discipline
• Strong understanding of Internet fundamentals, including:
  • HTTP/HTTPS
  • RESTful APIs
  • Web protocols and networking basics
• Solid experience with server-side programming
• Proficiency in at least one modern programming language, such as:
  • Java (preferred)
  • Python
  • Go
  • C++
• Strong conceptual understanding of:
  • Distributed systems
  • Concurrency and scalability
  • Fault tolerance and system reliability
• Working knowledge of cloud architecture, with emphasis on AWS, including services such as:
  • EC2, S3, RDS/DynamoDB
  • Lambda
  • API Gateway
  • IAM, VPC (conceptual understanding acceptable)
• Exposure to AI/ML-assisted development, including:
  • Using AI tools for code generation, refactoring, or testing
  • Understanding strengths and limitations of AI-generated code

PREFERRED QUALIFICATIONS

• Hands-on experience building or deploying cloud-native applications
• Familiarity with:
  • Microservices architecture
  • Containerization (Docker, Kubernetes – a plus)
• Experience working with:
  • Version control systems (Git)
  • CI/CD pipelines
• Coursework or research in:
  • Distributed computing
  • Cloud systems
  • Machine learning or applied AI
• Strong problem-solving skills and ability to reason about system design trade-offs

WHAT YOU'LL GAIN

• Hands-on experience with production-scale systems
• Exposure to modern cloud architecture on AWS
• Practical application of AI/ML tools in software development
• Mentorship from experienced engineers in a fast-paced digital team
• Opportunity to make real impact on ALO’s digital platforms

The base pay range for this position is $45/hr-$50/hr which represents the current range for the non-exempt position. Please note that actual pay will vary based on factors including but not limited to location, experience, and performance.