Senior Software Engineer, Energy Storage

This position is on a team building the software platform that powers optimized control and market participation of battery energy storage systems (BESS) — software that runs both on site controllers and in the cloud. Our scope spans the full stack: compute infrastructure, telemetry, asset modeling, alerting, feature ingestion and storage for forecasting and optimization, simulation and operational control orchestration, and integration with energy markets. We're a lean team that holds ourselves to high standards in both the quality of what we build and the speed at which we build it. We value collaboration, trust, learning, and engineering excellence, and we genuinely enjoy building great things together.

Responsibilities will include:

• Contribute to BESS data engineering — building and maintaining telemetry pipelines and stores, and feature ingestion and storage systems for forecasting and optimization
• Design, build, and maintain simulation and training infrastructure — platforms for running and orchestrating simulations at scale
• Develop and operate real-time forecast and optimization workflows, orchestrating pipelines that drive BESS operations
• Support energy market integration, including data ingestion and bid management
• Collaborate across the full stack and across team boundaries to ensure the product system works well as a whole
• Write well-tested, well-monitored software and iteratively improve it over time
• Apply AI tools to accelerate development while maintaining high system design quality and code standards

Desired Qualifications: 

• Strong software design instincts — thinks in systems, reasons from first principles, and understands the real-world challenges of building available, reliable, scalable, and secure distributed systems
• Comfortable using AI tools to move faster without letting them erode system design or code quality
• Excellent collaborator — communicates clearly, listens well, and makes the people around them better
• Bias toward action — takes initiative, makes progress in ambiguous situations, and doesn't wait for perfect information
• Systems thinker and owner — willing to think and collaborate across team boundaries to make sure the product works well as a whole
• Rigorous about quality — writes well-tested, well-monitored software and iterates on it over time
• B.S. or advanced degree in Software Engineering, Computer Science, or another discipline, combined with 2-5 years of experience in software engineering.
• Experience with relevant technologies a plus: Kubernetes, Rust, Python, NATS, PostgreSQL/TimescaleDB, SQLite
• A passion for sustainability and making the world a better place! 

Infrastructure Software Engineer, Energy Storage 

The Infrastructure Engineer is responsible for designing, building, and maintaining the foundational platform infrastructure that enables our engineering team to develop and deploy Battery Energy Storage Systems reliably and at scale. This role serves as a force-multiplier across the organization, owning edge fleet management, server provisioning, and deployment automation while ensuring systems are secure, scalable, and performant. The position partners closely with cross-functional engineering teams to translate early deployment learnings into platform improvements and drive resolution of scalability, reliability, and security challenges. Success in this role requires deep technical expertise, a collaborative mindset, and the ability to thrive in an ambiguous, fast-paced, early-stage environment. 

Responsibilities will include: 

• Design and own the rollout of edge Kubernetes fleet management, automated server provisioning, and software update pipelines to support scalable and reliable system deployment. 
• Evaluate server hardware and operating systems to help define the architecture of the organization's next-generation energy storage platform. 
• Identify and resolve hard infrastructure problems, including scalability bottlenecks, reliability gaps, performance issues, and security vulnerabilities. 
• Build and maintain tooling and services used to validate software systems at scale, including performance and reliability testing frameworks. 
• Serve as a technical resource for the broader engineering team through pair programming, in-office working sessions, and hands-on project leadership. 
• Translate learnings from early deployments and customer pilots into concrete, measurable improvements to platform infrastructure. 
• Reinforce a team culture grounded in engineering excellence, curiosity, inclusivity, and a willingness to take action and learn from mistakes. 

Desired Qualifications: 

• 5+ years of relevant industry experience in infrastructure, platform, or site reliability engineering. 
• Strong grasp of system design principles and real-world experience building available, reliable, scalable, and secure distributed systems. 
• Experience designing, implementing, and maintaining secure network systems and infrastructure. 
• Genuine interest in server hardware fundamentals and how software and hardware interact at the platform level. 
• Ability to work comfortably with ambiguity, prototype solutions iteratively, and learn rapidly from early-stage work. 
• Strong written and verbal communication skills, with the ability to explain complex systems clearly to both technical and non-technical audiences. 
• Ability to manage multiple workstreams, shifting priorities, and competing deadlines in a fast-paced, early-stage environment. 

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

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.

The Space Domain Awareness Network (SDANet) is an anchor program in the Space organization, growing it’s support footprint from a handful to dozens of telescopes and Early Warning Radar systems globally. 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.

The Space team also supports multiple other programs focused on earth sensing, sensor orchestration, and orbital satellite missions in LEO and GEO.

ABOUT THE JOB 

SDANet and other programs are standing up Lattice stacks on AWS and Azure environments to integrate with mission partners.

In this role, you will be responsible for researching, understanding, and planning the deployment strategy into classified government cloud infrastructure. You will design cloud networking and engineering solutions to meet security, cost, and performance requirements, and deploy Anduril software into government infrastructure, promoting it through various stages. A significant part of your duties will involve identifying and triaging Kubernetes issues in the deployed environment, developing response and mitigation plans, and partnering with government platform management to address these issues effectively. You will be tasked with designing and implementing requirements for observability, alerting, and maintenance to ensure smooth operations.

Additionally, you will deliver and maintain accreditation artifacts and standards for the environments and systems you are responsible for. You will stand up and maintain representative environments at the unclassified level for testing and development purposes, and provide direct in-person expertise during mission-critical periods. Ensuring the deployed system meets security and compliance requirements through regular updates and host OS patching will also be part of your responsibilities. Your role is crucial to maintaining the integrity and performance of the deployed infrastructure.

REQUIRED QUALIFICATIONS

• 5+ years of working experience in DevOps or SRE type roles
• Strongly proficient in utilizing cloud services like AWS, Azure, or Google Cloud Platform
• Experience with IaC (Terraform, Cloudformation, Puppet, Ansible, etc)
• Strong experience with containerization technologies such as Docker and orchestration tools like Kubernetes and Helm
• Deep understanding of networking concepts, TCP/IP protocols, and security best practices
• Programming ability in one or more of the general scripting languages (Python, Go, Bash, Rust, etc)
• Strong problem-solving skills and the ability to work well under pressure
• Excellent communication and collaboration skills to work effectively with cross-functional teams and develop internal roadmaps based on the needs of other teams
• Experience deploying complex and scalable infrastructure solutions
• Relevant certifications such as AWS Certified Solutions Architect, Microsoft Certified Solutions Expert, or Google Cloud Certified Professional
• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Eligible to obtain and maintain an active U.S. Top Secret security clearance

PREFERRED QUALIFICATIONS

• Extensive expertise in Kubernetes and Helm
• Hold a DoD 8570 IAT Level 1 or 2 certification
• Cisco Certified Network Associate (CCNA)
• Experience with government Cyber certification processes
• Experience installing, sustaining, and troubleshooting data systems for DoD or otherwise sensitive customers
• Familiarity with DoD-managed network enclaves (NIPR, SIPR, etc.)
• Military service background (particularly with Space experience)

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.

The Space Domain Awareness Network (SDANet) is an anchor program in the Space organization, growing it’s support footprint from a handful to dozens of telescopes and Early Warning Radar systems globally. 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.

The Space team also supports multiple other programs focused on earth sensing, sensor orchestration, and orbital satellite missions in LEO and GEO.

ABOUT THE JOB 

SDANet and other programs are standing up Lattice stacks on AWS and Azure environments to integrate with mission partners.

In this role, you will be responsible for researching, understanding, and planning the deployment strategy into classified government cloud infrastructure. You will design cloud networking and engineering solutions to meet security, cost, and performance requirements, and deploy Anduril software into government infrastructure, promoting it through various stages. A significant part of your duties will involve identifying and triaging Kubernetes issues in the deployed environment, developing response and mitigation plans, and partnering with government platform management to address these issues effectively. You will be tasked with designing and implementing requirements for observability, alerting, and maintenance to ensure smooth operations.

Additionally, you will deliver and maintain accreditation artifacts and standards for the environments and systems you are responsible for. You will stand up and maintain representative environments at the unclassified level for testing and development purposes, and provide direct in-person expertise during mission-critical periods. Ensuring the deployed system meets security and compliance requirements through regular updates and host OS patching will also be part of your responsibilities. Your role is crucial to maintaining the integrity and performance of the deployed infrastructure.

REQUIRED QUALIFICATIONS

• 8+ years of working experience in DevOps or SRE type roles
• Strongly proficient in utilizing cloud services like AWS, Azure, or Google Cloud Platform
• Experience with IaC (Terraform, Cloudformation, Puppet, Ansible, etc)
• Strong experience with containerization technologies such as Docker and orchestration tools like Kubernetes and Helm
• Deep understanding of networking concepts, TCP/IP protocols, and security best practices
• Programming ability in one or more of the general scripting languages (Python, Go, Bash, Rust, etc)
• Strong problem-solving skills and the ability to work well under pressure
• Excellent communication and collaboration skills to work effectively with cross-functional teams and develop internal roadmaps based on the needs of other teams
• Experience deploying complex and scalable infrastructure solutions
• Relevant certifications such as AWS Certified Solutions Architect, Microsoft Certified Solutions Expert, or Google Cloud Certified Professional
• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Eligible to obtain and maintain an active U.S. Top Secret security clearance

PREFERRED QUALIFICATIONS

• Extensive expertise in Kubernetes and Helm
• Hold a DoD 8570 IAT Level 1 or 2 certification
• Cisco Certified Network Associate (CCNA)
• Experience with government Cyber certification processes
• Experience installing, sustaining, and troubleshooting data systems for DoD or otherwise sensitive customers
• Familiarity with DoD-managed network enclaves (NIPR, SIPR, etc.)
• Military service background (particularly with Space experience)

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.

The Space Domain Awareness Network (SDANet) is the anchor program in the Space organization, growing it’s support footprint from a handful to dozens of telescopes and Early Warning Radar systems globally. 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.

ABOUT THE JOB
For SDANet to meet its mission objectives, a scalable deployment solution must be reached. As a Senior Software Engineer, you will re-imagine the infrastructure pipeline required to convert a nascent rollout process into a hardened test and release pipeline. An end-to-end solution involves developing a through line from pure software testing, to hardware, that is pushed from unclassified to classified spaces and rolled out to a fleet of Kubernetes nodes.

You will be expected to wear the hat of a product manager, speaking to software developers, to discern bottlenecks in the development process to accelerate their velocity. You will develop modular CI/CD and developer capabilities to support newly formed programs in the Space organization.

WHAT YOU’LL DO

• Strongly proficient in utilizing cloud services like AWS, Azure, or Google Cloud Platform.
• Configuring of Linux-based systems.
• Understanding of networking fundamentals.
• Strong communication skills and ability to collaborate across cross-functional teams.
• Have an intuition for finding solutions to complex problems that involve multiple first and third party technologies (related to simulation, data management, compute infrastructure, and networking).
• Strong engineering background from industry or school, ideally in areas/fields such as Robotics, Computer Science, Software Engineering, Mechatronics, Electrical Engineering, Mathematics, or Physics.
• Eligible to obtain and maintain an active U.S. security clearance.

REQUIRED QUALIFICATIONS

• Strongly proficient in utilizing cloud services like AWS, Azure, or Google Cloud Platform.
• Configuring of Linux-based systems.
• Understanding of networking fundamentals.
• Strong communication skills and ability to collaborate across cross-functional teams.
• Have an intuition for finding solutions to complex problems that involve multiple first and third party technologies (related to simulation, data management, compute infrastructure, and networking)
• Strong engineering background from industry or school, ideally in areas/fields such as Robotics, Computer Science, Software Engineering, Mechatronics, Electrical Engineering, Mathematics, or Physics
• Eligible to obtain and maintain an active U.S. Secret security clearance.

PREFERRED QUALIFICATIONS

• Experience with deploying AWS environments, using EC2, VPC, S3, ECS/EKS, CloudWatch, AWS Config, IAM, Load Balancers and Cost Management.
• Proficiency in one or more of the following: Go, Rust, C++, Python.
• Experience with hardware integration testing.
• Track record of working with customers to deliver novel software capabilities.
• Experience or knowledge in network topology design, IT network engineering, and embedded device security.
• Experience with Nix, NixOS, nixpkgs.

Software Systems Test Engineer, Space

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 Systems Test Engineer for our Space team, you will be instrumental in designing, building, and deploying the cutting-edge software and infrastructure that verifies the functionality and performance of our integrated space systems and flight hardware. This role focuses on creating robust, extensible, and automated test platforms and software, intended to be used by Anduril engineers for testing at all levels of integration, including unit-level testing, bus testing, testing technology-differentiated payloads, and testing full space vehicle systems. You will be called to apply best practices in systems architecture and software development to address the complexity of modern software ecosystems, ensuring test software is resilient, maintainable, extensible, and highly automated. You will be responsible for architecting and executing software solutions for test execution, data collection, analysis, remote monitoring, and fleet-level reporting.

This role is directly tied to ongoing, funded programs within Anduril’s Space Business Line. These programs require building and fielding resilient, software-defined spacecraft systems across numerous mission threads. 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

• Architect and develop cloud-based software tools for automated space system test execution, data collection, analysis, remote monitoring, and fleet-level reporting, with an emphasis on extensibility and maintainability.
• Design and build automated test software platforms for use by other Anduril engineers to verify hardware modules, buses, payloads, and full space vehicle systems.
• Develop and maintain robust test reporting systems, ensuring test results are easy to investigate and providing clear logging for troubleshooting and anomaly resolution.
• Create and analyze metrics that are leveraged for debugging and monitoring of test system performance.
• Collaborate closely with mechanical, electrical, and systems engineers to integrate test software with satellite hardware, software, and firmware.
• Integrate test software across numerous teams, collaboratively identifying testing requirements and defining verification and validation strategies.

REQUIRED QUALIFICATIONS

• Strong engineering background from industry or school, ideally in areas/fields such as Software Engineering, Computer Science, or a related technical field.
• Experience in designing, developing, and deploying automated test software and systems architecture for complex hardware, ideally in aerospace or robotics.
• Experience with cloud-based development, infrastructure, and data analysis tools.
• Proven ability to design for extensibility, maintainability, and resilience in software platforms.
• Proficiency in programming languages such as Python, C/C++, or similar, for developing robust test automation solutions.
• 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 writing technical documentation and training material.
• Eligible to obtain and maintain an active U.S. Secret security clearance.

PREFERRED QUALIFICATIONS

• Advanced expertise with Python, Go, Rust, or C++.
• Experience with deployment tooling like Kubernetes, OpenShift, or Helm.
• Experience developing distributed systems or microservices for test infrastructure.
• Understanding of sensors and data acquisition electronics, with experience in developing software interfaces for them.
• Experience with testing/validation leveraging FlatSats, Hardware-in-the-Loop (HITL) testbeds.

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 an Orbital Software Engineer on Space, you will contribute to the architecture and deployment of software solutions that support specific customer missions for on-orbit spacecraft operations and mission management. As a software engineer, you will provide guidance and oversight to a team developing modular capabilities to support the DoD and IC customers across the space domain. This will involve architecture of an orbital software system in coordination with the Anduril Lattice software platform team, algorithms, techniques and coding development to support orbital systems and their interfacing with multi-domain systems. The Anduril orbital software capability development will ensure 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. The role will also be responsible for the interfaces to multi-modal payload platforms, bus platforms and networking solutions in proliferated satellite constellations

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

• Contribute to software solutions that are deployed to customers.
• Contribute to development of on-orbit software 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 and 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 3+ years professional experience working with a variety of programming languages such as Python, C++, Rust, or Go
• Experience with spacecraft software systems and spacecraft operations.
• Experience with satellite mission autonomy to include fault isolation and recovery systems.
• Eligible to obtain and maintain an active U.S. Secret security clearance.

PREFERRED QUALIFICATIONS

• Advanced expertise with Python, Go, Rust, or C++.
• Experience with deployment tooling like Kubernetes, OpenShift, or Helm.
• A desire to work on critical software in the space domain.
• Experience with OMS/UCI 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 Senior Orbital Software Engineer on Space, you will own the architecture and deployment of software solutions that support specific customer missions for on-orbit spacecraft operations and mission management. As a senior software engineer, you will provide guidance and oversight to a team developing modular capabilities to support the DoD and IC customers across the space domain. This will involve architecture of an orbital software system in coordination with the Anduril Lattice software platform team, algorithms, techniques and coding development to support orbital systems and their interfacing with multi-domain systems. The Anduril orbital software capability development will ensure 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. The role will also be responsible for the interfaces to multi-modal payload platforms, bus platforms and networking solutions in proliferated satellite constellations

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 on-orbit software 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 and 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 Python, C++, Rust, or Go
• Experience with spacecraft software systems and spacecraft operations.
• Experience with satellite mission autonomy to include fault isolation and recovery systems.
• Eligible to obtain and maintain an active U.S. Secret security clearance.

PREFERRED QUALIFICATIONS

• Advanced expertise with Python, Go, Rust, or C++.
• Experience with deployment tooling like Kubernetes, OpenShift, or Helm.
• A desire to work on critical software in the space domain.
• Experience with OMS/UCI standards and modular software services development.

ABOUT THE TEAM

For this unique opportunity, you'll be supporting both the Counter Intrusion team and the Air Defense team.

The Counter Intrusion team creates robotic systems that provide force protection capabilities by monitoring the perimeter of secure areas for approaching people, vehicles, and vessels. Leveraging advanced sensor fusion and autonomy, our products seamlessly render activity in the environment to Lattice's common operating picture.

The Air Defense team fields Anduril's most complex capabilities, deploying unique combinations of hardware and software tailored to different mission requirements and customer expectations. Our systems integration engineers internalize the nuances of each deployment, ensuring the technical success of the end-to-end solutions we ship.

ABOUT THE JOB

We are looking for a Site Reliability Engineer (SRE) to join AGD, our rapidly growing team in Irvine or Costa Mesa. SREs work with external stakeholders to determine the technical direction of cloud deployments and deliver with speed through analysis, design and code. They are comfortable leading large, focused projects. They lead in the development of Kubernetes cloud infrastructure, DevOps, CI/CD and improving the developer experience. You will be managing cloud deployments in AWS, Azure and on premise. This role emphasizes the continuous innovation in improving our cloud computing environments.

WHAT YOU’LL DO

• Architect, deploy and maintain infrastructure with cloud providers and Kubernetes (EKS)
• Collaborate with multi-disciplined teams to define and execute on internal and external deployments
• Promote SRE best practices in system resilience, performance monitoring and high availability
• Design, develop, and deliver solutions using infrastructure as code with tools like Terraform and Python
• Develop and maintain CI/CD pipelines for automated deployment
• Build strong relationships with internal and external customers to identify technical solutions to their problems
• Improve Anduril’s operational capabilities by improving our core product offering through root cause analysis and creating tooling capable of managing large scale deployments
• Lead the organization in building scalable, sustainable mechanisms to continue delivering to customers at the pace the business is scaling

REQUIRED QUALIFICATIONS

• Holding active U.S. secret security clearance
• 6+ years of engineering experience
• Technical expertise and demonstrated performance in one or more of the following areas: networking, cloud technologies, application development and/or cybersecurity
• Deep knowledge of the Kubernetes ecosystem (Docker, Helm, ArgoCD, Terraform)
• Experience with cloud services (AWS/Azure)
• Experience in software languages such as Go, Python, Rust, or C++
• Experience performing data-driven root cause analysis on complex systems
• Demonstrated ability to train peers or customers on the operation of a product
• Computer Science degree or equivalent

PREFERRED QUALIFICATIONS

• Experience with managing Kubernetes clusters of hundreds of nodes
• Knowledge of performance improvement techniques, metrics and alerting
• Experience with KubeVirt, qemu, virtualization and hypervisor technologies
• Experience with low-level frameworks, Linux and databases
• Excellent written and verbal communication skills

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

ABOUT THE TEAM

The People Analytics team is at the forefront of transforming how we understand and optimize our workforce. We are a dynamic group of analytical thinkers and storytellers who leverage advanced analytics and robust methodologies to create strategic insights from complex HR data. Collaborating closely with HR Business Partners, Program Management Teams, Business Operations, Talent Acquisition and various cross functional stakeholders we provide actionable insights that drive informed decisions across the entire employee lifecycle; from optimizing talent acquisition and development to enhancing engagement and retention. Our work directly shapes a thriving employee experience, fuels organizational growth, and ensures our people strategy is truly data-driven.

ABOUT THE JOB

This role is central to our People Data & Analytics team, where you will be instrumental in building and maintaining the robust data infrastructure that powers our strategic insights. You'll own the full data lifecycle, from ensuring accurate ingestion and integration of diverse HR data sources, to designing, developing, and optimizing data models and pipelines. Your primary objective will be to transform raw, disparate information into clean, reliable, and analytics-ready datasets, empowering our People Analysts and business stakeholders to unlock deeper understanding of our workforce, enhance employee experience, and drive data-driven decision-making. Success in this role requires a strong technical foundation, meticulous attention to data quality, and a passion for crafting efficient data solutions.

WHAT YOU'LL DO

• Design, build, and optimize robust ETL/ELT pipelines to reliably ingest, integrate, and transform diverse people data from various HR systems (HRIS, ATS, LMS, etc.) into our data platform.
• Develop, maintain, and govern scalable and secure data models, schemas, and ontologies specifically for people analytics, ensuring data quality, consistency, and accessibility for downstream consumption.
• Contribute to the strategic design, development, and evolution of our people data platform and tooling, advocating for engineering best practices, automation, and a scalable analytics ecosystem (e.g., leveraging SQLMesh, Iceberg, Flyte).
• Partner closely with People Analysts, HR Business Partners, and other stakeholders to understand their analytical needs and translate them into robust data solutions, providing well-structured, documented, and reliable datasets.
• Implement and monitor data quality checks, identify discrepancies, troubleshoot data issues, and ensure the reliability and integrity of people data across all systems.
• Continuously monitor the performance of data pipelines and models, identifying bottlenecks and implementing solutions to ensure the efficiency and scalability of our people data infrastructure.
• Create and maintain comprehensive documentation for data pipelines, models, and processes, and champion data engineering best practices (e.g., version control, testing, CI/CD) within the team.
• Implement and enforce strict data security measures and ensure all data handling practices comply with internal policies and external regulations (e.g., GDPR, CCPA) related to employee data privacy.
• Collaborate with broader enterprise analytics and data engineering teams to align on data architecture standards, integrate people data with other business domains, and contribute to the overall evolution of the company's data platform.

REQUIRED QUALIFICATIONS

• 5-7 years of progressive experience in Data Engineering, Analytics Engineering, or a similar role focused on building and optimizing data pipelines and data infrastructure.
• Expert-level proficiency in SQL for complex data manipulation and querying, and advanced Python for scripting, data processing, and automation.
• Extensive experience with cloud-based data warehousing solutions (e.g., Snowflake, Google BigQuery, AWS Redshift, Databricks/Delta Lake) and data lake technologies (e.g., AWS S3, Azure Data Lake Storage).
• Deep understanding and proven experience in designing, implementing, and maintaining robust data models (e.g., dimensional modeling, Kimball methodology) for analytical purposes.
• Hands-on experience building and optimizing complex ETL/ELT processes and data pipelines using modern tools such as dbt, Apache Airflow, Flyte, Dagster, or similar orchestration platforms.
• Excellent communication skills, both written and verbal, with the ability to translate technical concepts for non-technical stakeholders and collaborate effectively across diverse teams.
• Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related field.
• Strong technical foundation in data engineering, with expertise in SQL, Python, and experience working with cloud-based data platforms (e.g., AWS, GCP, Azure).

Preferred Qualifications:

• Experience with big data processing frameworks (e.g., Apache Spark, Flink) and advanced data warehousing features like schema evolution or time travel (e.g., Apache Iceberg, Delta Lake).
• Direct hands-on experience with tools mentioned in our stack like Palantir Foundry, SQLMesh, Flyte, or similar cutting-edge data orchestration and transformation platforms.
• Relevant professional certifications from major cloud providers (e.g., AWS Certified Data Analytics - Specialty, Google Cloud Professional Data Engineer).
• Experience with tools like Terraform, CloudFormation, Docker, or Kubernetes for managing data infrastructure and deploying applications.
• Familiarity with integrating data pipelines with leading BI tools (e.g., Tableau, Power BI, Looker) to optimize dashboard performance and data accessibility for end-users.
• Deep expertise working with data from specific enterprise HRIS systems like Rippling, Workday, and Oracle HCM Cloud including their data models and APIs.
• Solid understanding of HR data concepts, metrics, and common HR systems (HRIS, ATS, LMS), with a strong interest in People Analytics.

Role 

We are looking for a Staff Site Reliability Engineer to join our Cloud Infrastructure & Operations team in our San Jose, CA HQ Office. This is a hybrid role reporting to the Chief Architect, REIS. You are an SRE with proven experience in Linux/UNIX System Administration and hands-on expertise in building infrastructure and managing platforms like Kubernetes using automation tools and high security standards. In this role, you will troubleshoot complex Linux networking and security issues, apply a strong understanding of firewall technologies, and manage access across various systems, platforms, and applications.

What you’ll do (Role Expectations)

• Create and maintain highly scalable solutions based on KVM Linux, Kubernetes, and Public Cloud Providers
• Analyze and troubleshoot systems performance and complex issues across operating systems and applications
• Maintain platform security and observability through nftables and comprehensive monitoring
• Manage and deploy systems and software in diverse environments, including Kubernetes and Openstack
• Write and maintain custom tools using Python, Golang, and BASH

Who You Are (Success Profile)

• You thrive in ambiguity and are comfortable building the path as you walk it, seeing a dynamic environment as the raw material to build something meaningful.
• You are a problem-solver who seeks out challenges because you are energized by finding solutions that deliver the biggest impact.
• You operate with urgency and maintain a relentless focus on execution, understanding that speed and quality are not mutually exclusive in a high-growth environment.
• You are driven by innovation and a deep curiosity for how things work, always looking for a better, more secure, and scalable way to accelerate transformation.
• You lead with integrity and hold yourself to a high standard of accountability, building trust by matching your words with consistent, transparent action.

What We’re Looking for (Minimum Qualifications)

• Strong understanding of web security, protocols, and SSH
• Technical security aptitude including PGP, SSH, PKI, and Multi-factor authentication
• Mastery of network fundamentals including DHCP, ARP, subnetting, routing, NAT, firewalls, and IPv4/IPv6
• Experience in container orchestration services including Docker and Kubernetes, alongside automation tools like Ansible
• 5+ years of experience in a Linux/UNIX System Administration or SysAdmin role

What Will Make You Stand Out (Preferred Qualifications)

• Strong Openstack and CEPH experience paired with advanced Kubernetes expertise
• Extensive professional history in dedicated Linux System Administration roles
• Direct experience with Secrets Management Systems such as Hashicorp Vault or similar technologies

#LI-Hybrid 

#LI-CM3

What We're Looking For

As a Machine Learning Solutions Engineer, you will operate at the intersection of machine learning, distributed systems, and cloud infrastructure.
You will partner with customers to design and deploy end-to-end AI systems, spanning:

• Model development and training
• GPU infrastructure and cluster design
• Distributed inference and production deployment

This role goes beyond traditional ML solutions engineering—you will act as a technical architect, helping customers make critical decisions across compute, orchestration, and system design.

The role can be based out of our New York City or San Francisco office, with an in-office requirement of at least 2-3 days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this role at this time. The annual base pay range for this role is $150,000 - $195,000, in addition to a variable pay component and meaningful equity. 

What You’ll Do

Customer Architecture & Technical Leadership

• Partner with customers to understand ML workloads, infrastructure constraints, and scaling requirements
  
  
• Architect end-to-end solutions across:
  
  
• Data pipelines (CPU → GPU workflows)
  
  
• Distributed training (multi-node, multi-GPU)
  
  
• High-throughput inference systems
  
  
• Translate business goals (latency, cost, throughput) into technical system design decisions
  
  

GPU & Infrastructure Design

• Design and optimize workloads across GPU clusters (H100, H200, B200, etc.)
  
  
• Advise on:
  
  
• Training vs inference cluster design
  
  
• Interconnect choices (Ethernet vs Infiniband / RDMA vs Roce)
  
  
• Storage strategies (local NVMe vs networked / object storage)
  
  
• Model and optimize for:
  
  
• Tokens/sec, tokens/$
  
  
• Throughput vs latency tradeoffs
  
  
• GPU utilization and scheduling efficiency
  
  

Kubernetes & Platform Systems

• Design and support deployments on Kubernetes (EKS, GKE, on-prem clusters)
  
  
• Work with:
  
  
• GPU scheduling (time-slicing, MIG, bin-packing)
  
  
• Autoscaling and workload orchestration
  
  
• Helm-based deployments and multi-tenant environments
  
  
• Help customers balance:
  
  
• Raw Kubernetes flexibility vs platform abstraction (Lightning)
  
  

Demos, POCs, and Execution

• Build and deliver technical demos and POCs that showcase:
  
  
• Distributed training workflows
  
  
• Scalable inference endpoints
  
  
• End-to-end ML pipelines on Lightning AI
  
  
• Scope and lead POCs aligned to customer success metrics (latency, cost, reliability)
  
  

Cross-Functional Impact

• Act as the bridge between customers, product, and engineering
  
  
• Provide feedback on:
  
  
• Platform gaps in infrastructure, orchestration, and performance
  
  
• Emerging patterns in GPU usage and distributed systems
  
  
• Influence roadmap across ML workflows and infrastructure capabilities
  
  

Enablement & Thought Leadership

• Create technical content
• Architecture guides (e.g., high-throughput LLM inference systems)
• Best practices for GPU utilization and scaling
• Educate customers on modern AI infrastructure patterns

What You’ll Need

ML + Systems Expertise

• 3–6+ years experience in:
  
  
• Machine Learning / AI Engineering
  
  
• Solutions Engineering / Sales Engineering / ML Consulting
  
  
• Strong understanding of:
  
  
• Training vs inference workloads
  
  
• Model optimization (quantization, batching, caching, etc.)
  
  

GPU & Distributed Systems

• Experience working with:
  
  
• GPU clusters (NVIDIA stack preferred)
  
  
• Distributed training or inference systems
  
  
• Familiarity with:
  
  
• NCCL, CUDA, or GPU performance profiling
  
  
• Networking concepts (RDMA, Roce, Infiniband, high-throughput systems)
  
  

Kubernetes & Cloud Platforms

• Hands-on experience with:
  
  
• Kubernetes (EKS, GKE, or on-prem)
• Slurm 
• Containerization (Docker)
  
  
• Exposure to:
  
  
• GPU scheduling in Kubernetes environments
  
  
• Multi-tenant or production ML deployments
  
  

Programming & Tooling

• Strong Python skills (PyTorch preferred)
  
  
• Experience building:
  
  
• ML pipelines
  
  
• APIs or inference services
  
  
• Familiarity with Lightning AI, PyTorch Lightning, or similar frameworks is a plus
  
  

Customer-Facing Excellence

• • Ability to:
    
    
    • Explain complex infrastructure and ML tradeoffs clearly
      
      
    • Run technical discovery and uncover quantifiable success metrics
      
      
  • Experience working cross-functionally with:
    
    
    • Sales, product, and engineering teams

What We’re Looking For

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

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

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

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

What You’ll Do

Observability Platform & Productization

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

Telemetry & Data Pipelines

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

Alerting, Reliability & Insights

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

Systems & Infrastructure Engineering

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

Cross-Functional Collaboration

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

What You’ll Need

Required Qualifications

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

Ideal Experience

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

Compensation

What We're Looking For

We’re looking for a Backend Engineer to help develop and scale the Lightning AI platform, spanning APIs, infrastructure, billing, security, and integrations. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. This is an opportunity to build systems that support real-world machine learning workloads at scale.

This role is based in one of our hubs (Seattle, NYC, SF, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Write readable/testable/efficient code in Go (Golang).
• Build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
• Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects.
• Evaluate, strengthen, and document technical architecture, tools, and processes.
• Maintain software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
• Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment where each engineer can grow.

What You’ll Need

• Extensive experience writing efficient, maintainable code in Go. Familiarity with best practices in testing, readability, and optimization is essential.
• Broad knowledge of backend and frontend systems, with experience building and scaling APIs, CLI tools, billing systems, and security protocols. Exposure to frontend frameworks is a plus.
• Experience with cloud platforms like AWS, GCP, or Azure and designing systems that are reliable, performant, and scalable. Familiarity with containerization (Docker, Kubernetes) is a strong advantage.
• Proven ability to take ownership of key features and drive end-to-end development
• Commitment to software quality, test automation, and continuous delivery. Experience proactively managing technical debt and speeding up time to production.
• Hands-on experience as a backend or product engineer in a SaaS technology company
• Communication and collaboration with engineers, product managers, and designers
• Ability to operate in high uncertainty and rapidly changing environments

Compensation

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

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

P8841_3271246

Team Description: 

The Infrastructure Team builds the foundation that enables the company to operate safely, robustly, and move at light-speed. We run a mixture of cloud-based and on-prem systems and have a user base spanning from highly technically proficient engineers to non-technical scientists and doctors; but all of them need solid systems, rugged networking, and bullet-proof software to do their jobs. This role will integrate tightly with teams across the company, and span all layers of the work environment stack, from deployment of physical hardware on the manufacturing line, to custom tooling to stream neural recordings from implants.

Tech Stack:

• Rust, Python
• Terraform
• Bazel and Nix
• Kubernetes
• GitLab CI
• AWS
• Ubuntu, Fedora

Focus:

• Developing the foundations for teams to build the software and systems required for record-breaking BCI experiences.
• Enhancing developer experience with robust tooling and build-system infrastructure.
• Building foundational infrastructure for HITL (hardware in the loop) testing across firmware, BCI, and robot teams.
• Ground-up infrastructure of on-premise solutions as well as cloud architecture.
• Foundational software engineering with a focus on serving internal software teams.

Qualifications: 

• Experience using IAC tools such as Terraform, Docker, Packer, Ansible, Cloud-Init, Kickstart.
• Working knowledge of compiled languages, ideally Rust, Go, or C/C++.
• Working knowledge of major cryptographic protocols and authentication schemes such as TLS, x509, 802.1x, U2F, SAML.
• Familiarity with modern Linux boot process, UEFI, TPM measured boot, Secure Boot, Systemd.
• Systems administration experience on Windows, macOS, and Linux.
• In-depth understanding of modern networking and common protocols.
• Ability to architect, build, and ship 0 to 1 infrastructure quickly and efficiently.

ABOUT THE TEAM

Anduril Industries is redefining defense technology by delivering advanced, integrated systems to U.S. and allied forces. At the heart of our efforts is Lattice OS, a secure, distributed operating system enabling autonomous decision-making at machine speed across platforms, cloud systems, and tactical networks.

ABOUT THE JOB

We are seeking a Multinational Digital Infrastructure Senior Cloud Engineer to design, deploy, and manage complex AWS and Azure cloud environments for multinational defense operations. This hands-on role requires deep technical expertise in multi-cloud architecture, security, and edge-to-cloud integrations supporting sovereign and classified environments across U.S., Australian, and UK missions.

This role offers a chance to design and deploy cutting-edge cloud infrastructure for missions of global importance. As a Senior Cloud Engineer, Multinational Digital Infrastructure, you’ll work with groundbreaking technology, support multinational operations, and drive innovation in secure cloud systems that empower autonomy and mission success across allied nations.

WHAT YOU’LL DO

• Design and Deploy Cloud Systems: Build secure, scalable cloud architectures on AWS and Azure to support tactical mission platforms and sovereign defense environments.
• Integrate Multinational Clouds: Engineer solutions enabling seamless interoperability between sovereign cloud environments (e.g., IL5/IL6 networks, Australian IRAP-compliant builds) and tactical edge systems.
• Optimize Cloud Infrastructure: Develop automated workflows using Infrastructure-as-Code tools (e.g., Terraform, CloudFormation) to streamline deployments, scaling, and maintenance.
• Enable Secure Data Flow: Work across classified systems to establish secure edge-to-cloud pipelines for autonomy, mission data, and operational decision-making.
• Collaborate Globally: Support multinational exercises, partner integration events, and global deployments, ensuring systems function across U.S., UK, and Australian defense frameworks.
• Troubleshoot in Real-Time: Resolve complex cloud infrastructure challenges in operational environments, balancing security, uptime, and mission-critical needs.

REQUIRED QUALIFICATIONS

• 8+ years in cloud engineering, architecture, or systems engineering, with direct expertise in AWS and Azure environments.
• Technical Expertise:
• Proficiency in multicloud architecture, secure networking (VPCs, VPNs, hybrid connectivity).
• Hands-on experience with Infrastructure-as-Code tools like Terraform, CloudFormation, and Ansible.
• Advanced knowledge of cloud security principles, IAM, encryption, and compliance frameworks (e.g., IL5/IL6, IRAP).
• Working knowledge of container orchestration (e.g., Kubernetes, Docker).
• Clearance: Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance
• Education: Bachelor’s degree in computer science, engineering, or related technical field.
• Travel: Willingness to travel up to 30%, including international deployments.

PREFERRED QUALIFICATIONS

• Experience with sovereign cloud platforms in classified environments.
• Familiarity with Lattice OS or distributed systems used in autonomous operations.
• Hands-on knowledge of mesh networking, edge compute, or tactical data systems.
• Multinational collaboration experience, including AUKUS missions or other allied defense efforts.

The Position: 

OPSWAT is now searching for Tier 2 Technical Support Engineer to join our Customer Support team. The role focuses on diagnosing and resolving complex technical issues and escalated issues from tier 1 support and ensuring customer satisfaction through timely responses. We are looking for an energetic and motivated person who likes interacting with customers, tinkering with software, learning about new technologies, and “doing what it takes,” to contribute to OPSWAT’s quick growth.

Responsibilities:

• Handle complex technical issues and escalated ones from tier 1 support via phone, case system, and chat.
• Provide advanced troubleshooting and support for OPSWAT solutions via log analysis, system diagnostics, network configurations.
• Conduct remote sessions with customers.
• Reproduce customer issues in lab environments and validate solutions and bug fixes.
• Evaluate the complexity of issues and escalate to tier 3 support.
• Collaborate with Tier 1 and Tier 3 support well.
• Work closely with technically oriented customers (typical customers are engineers and IT personnel).
• Provide status updates to customers, adhering to SLA and commitments.
• Maintain clear and professional communication to ensure positive customer experience and CSAT
• Contribute to the KBs creation and updates for customer’s self-service.
• Mentor L1 support and contributes to support process improvement.
• Get involved in professional delivery services.
• Get involved in other side projects and operations per request.

Minimum requirements:

• A good foundation of basic networking concepts.
• Basic knowledge of Linux, with an interest in expanding the knowledge.
• Ability to think logically, analyze logs and troubleshoot computer software and IT related issues.
• Troubleshooting SCADA communications issues
• Hands-on understanding of major DevOps tools: Docker, Kubernetes (GCP GKE), CI/CD tools, Terraform, Ansible, Monitoring & Logging Tools (Zipkin, Sentry, Prometheus, ELK stack).
• Strong spoken and written English.
• Excellent communication and interpersonal skills.
• A proven customer-oriented attitude.
• Strong team collaboration abilities and organizational skills.
• At least 2-4 years of Experience in providing customer support of technical software products or a technical helpdesk environment or a related field.

 Nice to have

• Bachelor’s degree in computer science (CS), or technical discipline, or equivalent experience.
• Experience working with offshore teams. 
• Familiarity with computer programing.
• Technical familiarity with Mac OS.
• Cybersecurity domain experience, including file security, device security, network security, etc.
• Network integration skillsets (e.g. Cisco, Dell-EMC, Juniper, Aruba, Ruckus, Meraki, Aerohive, Extreme, etc).
• Certifications/Training: Relevant SCADA or PLC OEM certifications.
• Experience in Control System Design, PLC Programming, & SCADA Development
• Experience in Cloud Based Services (e.g. AWS, GCP).
• Experience working on Linux based infrastructure.
• Experience working with scripting languages such as bash script, PowerShell, and Python.
• Configuration and management of databases such as MySQL, Mongo.

We are looking for a top-tier Enterprise Cloud Security Engineer to design and secure the cloud infrastructure supporting the next phase of sustainable air mobility. You are a collaborative, hands-on professional with excellent communication skills and the ability to see the big picture. In this role, you will be responsible for securing our cloud-native environments (AWS/Azure) and ensuring that our telemetry, flight operations, and enterprise systems are protected against advanced persistent threats. You will connect DevOps and Security by incorporating "secure-by-design" principles into our Infrastructure as Code (IaC) and CI/CD pipelines, while ensuring compliance with aviation and federal standards (NIST CSF, 800-53, FedRAMP, DO-326A).

Key Responsibilities

• Cloud Architecture & Hardening: Design, implement, and maintain secure cloud architectures across AWS and Azure. Enforce zero-trust principles and least-privilege access using advanced IAM policies and roles.
• Infrastructure as Code (IaC) Security: Lead the security review and automated scanning of IaC templates (Terraform, CloudFormation, Helm). Prevent misconfigurations before they reach production.
• DevSecOps & Automation: Integrate security tooling (CSPM, CWPP, Secret Scanning) directly into CI/CD pipelines (Jenkins, GitLab, GitHub Actions) to enable rapid, secure deployment.
• Kubernetes & Container Security: Secure containerized workloads and orchestration platforms (EKS/AKS), ensuring runtime protection, image scanning, and network segmentation.
• Compliance & Governance: Map cloud security controls to industry frameworks, including NIST SP 800-53, ISO 27001, and aviation-specific standards like DO-326A—Automate evidence collection for audits.
• Threat Detection & Incident Response: Build high-fidelity detection rules for cloud threats using SIEM/SOAR platforms. Lead investigations into cloud security incidents and perform forensics on ephemeral workloads.
• Telemetry & Data Protection: safeguard critical flight telemetry and sensitive data pipelines through robust encryption, key management (KMS/HSM), and data loss prevention (DLP) strategies.

Required Qualifications

• Experience: 5+ years of experience in Cloud Security, DevSecOps, or Infrastructure Engineering, with at least 3 years focused on public cloud (AWS, Azure, and GCP).
• Technical Mastery: Deep hands-on expertise with Terraform, Kubernetes, and Linux environments.
• Coding/Scripting: Proficiency in Python, Go, or Bash for automating security tasks and building custom tooling.
• Security Tooling: Experience implementing and tuning CSPM/CNAPP tools (e.g., Wiz, Prisma Cloud, Orca, Sysdig) and SIEM platforms (Tenex, Splunk, Datadog Security).
• Frameworks: Working knowledge of NIST CSF, NIST 800-53, or FedRAMP requirements.

Preferred Qualifications

• Aerospace/Defense Experience: Familiarity with DO-326A (Airworthiness Security), ITAR regulations, or safety-critical systems.
• Certifications: AWS Certified Security – Specialty, Azure Security Engineer (AZ-500), CKA (Certified Kubernetes Administrator), and CISSP, CISM.
• Architecture: Experience designing "Zero Trust" networks and implementing Service Mesh (e.g., Istio, Linkerd) security.
• Offensive Security: Experience conducting cloud penetration tests or "Purple Team" exercises to validate defenses.

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

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $155,000.00 - $185,00.00. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

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

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

THE ROLE

As the lead architect of our AI technical value narrative, you will drive the digital and content strategies that captivate technical leaders and the infrastructure community. You will translate complex AI Factory architectures and high-performance storage differentiators into compelling stories that bridge the gap between enterprise data and intelligence. By distilling the "how-to" of AI data orchestration into clear, differentiated value propositions, you will empower our global sales teams and influence the next generation of data-centric AI innovation.

WHAT YOU'LL DO

• Architect the AI Technical Content Roadmap: Design and execute high-impact technical assets—including deep-dive blogs, interactive digital experiences, and live webcasts—that demonstrate how the Everpure Platform accelerates AI/ML workloads and RAG architectures.
• Pioneer AI Integration Showcases: Own the evangelism of AI capabilities, including Model Context Protocol (MCP) servers, by building demonstrations that show how AI agents securely interact with the Everpure Unified Data Plane.
• Orchestrate the Technical Bill of Materials (BOM): Lead the creation of a high-fidelity "AI toolkit," ensuring Field Sales and Partners have the reference architectures and deployment guides necessary to win in the market.
• Drive Digital Technical Experiences: Execute the strategy for digital showcases on everpure.com, specifically building Pure360 demonstrations and TestDrive environments to allow customers to interact with our virtual sandbox.
• Translate Feature Logic into Market Value: Act as the primary technical liaison between Product Management and Marketing to turn complex features—like DirectFlash efficiency or Evergreen//One for AI—into selling points for infrastructure architects.
• In-Office Collaboration: We are primarily an in-office environment and therefore, you will be expected to work from the office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

• Expertise in the AI Lifecycle: Deep technical knowledge of storage and infrastructure combined with a functional understanding of the AI pipeline, including training, fine-tuning, and inference.
• Technical Content Mastery: Proven ability to translate complex engineering concepts into simple, differentiated narratives for technical decision-makers across written, video, and presentation formats.
• Cloud-Native & Data Pipeline Fluency: Proficiency in Kubernetes and containers, specifically how Portworx by Everpure manages data for stateful AI applications, and how to solve "Data Preparation Bottlenecks" with high-throughput storage.
• Hands-on Technical Proficiency: Direct experience with RAG (Retrieval-Augmented Generation), Vector Databases (such as Milvus or Pinecone), and infrastructure protocols including S3 object storage and high-performance networking.
• Collaborative Leadership: Ability to align outcomes across Product, Engineering, and Sales teams to ensure a unified AI story across the entire Everpure portfolio.

#LI-ONSITE

#LI-KT1

THE ROLE

As a Staff Software Engineer in the Hyperscale Build Infrastructure team, you will be responsible for the architecture, development, and maintenance of the build infrastructure that supports developing Everpure's next-generation hardware. You will bridge the gap between low-level system software and large-scale distributed infrastructure, ensuring that the product team can build, test and deploy in a fast and reliable manner.

WHAT YOU'LL DO

• Lead the design and implementation of platforms for building and qualifying Hyperscale products
• Manage and communicate project priorities and deliverables in a fluid environment
• Drive failure analysis for complex system-level issues across the hardware/software boundary
• Partner with stakeholders to execute engineering programs, focusing on product development and fleet productivity
• Provide technical direction for critical projects while mentoring engineers to elevate the overall quality of team engineering standards and abilities
• 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.

WHAT YOU BRING

• 8+ years of industry experience (or equivalent)
• Proficiency in C/C++ and high-level scripting languages like Python or Go for system automation and tool development
• Experience designing and managing large-scale CI/CD pipelines (Jenkins, GitLab CI, or GitHub Actions), ideally for OS images or firmware
• Experience with Linux kernel, bootloaders (GRUB, U-Boot), and building custom Linux distributions
• Understanding of Kernel-based Virtual Machine and container orchestration (Docker, Kubernetes) within a storage or networking context
• [Preferred] Experience automating infrastructure using tools such as Terraform, Ansible, or Puppet
• [Preferred] Experience with low-level hardware communication protocols (PCIe, NVMe, I2C, SPI)

#LI-ONSITE

THE ROLE

Everpure is seeking a talented and experienced Agentic AI Software Engineer to join our dynamic team in Santa Clara, CA. In this role, you will build production-grade agentic AI solutions that drive enterprise automation and digital transformation. You will design and deploy LLM-based services , implement strong prompt engineering techniques, guardrails, and model evaluation frameworks, and ensure secure, scalable delivery on AWS. This role focuses on building reliable, secure, and observable AI systems integrated with enterprise platforms.

WHAT YOU'LL DO

• Design and develop production-grade Agentic AI solutions using LLMs, multi-agent workflows, and RAG pipelines.
• Implement and refine Prompt Engineering strategies, including structured prompts, tool-calling, and agent orchestration to ensure reliable and deterministic AI behavior.
• Build secure backend services and REST APIs in Python, integrating AI agents with enterprise systems using microservices architecture.
• Establish robust guardrails, including output validation, fallback strategies, rate limiting, safe tool invocation, and human-in-the-loop patterns where appropriate.
• Develop and maintain model evaluation frameworks, including automated prompt testing, retrieval validation, regression testing, and performance benchmarking.
• Deploy and operate AI services on AWS, leveraging services such as EC2, S3, Lambda, RDS, and containerization using Docker and Kubernetes.
• Apply strong security best practices, including access control, data protection, audit logging, and secure API design.
• Ensure strong observability, monitoring, and reliability of AI-driven services in production.
• 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

• 3–6 years of professional software engineering experience building backend or distributed systems.
• Strong proficiency in Python and developing RESTful APIs.
• Hands-on experience building LLM-based or Agentic AI applications, including RAG, embeddings, and vector database integrations.
• Practical experience in Prompt Engineering and understanding of LLM behavior, limitations, and optimization techniques.
• Experience deploying and operating applications in AWS cloud environments.
• Experience implementing AI guardrails, model validation techniques, and production monitoring.
• Solid understanding of cloud-native security practices and secure system design.

Preferred Qualifications

• Experience with multi-agent orchestration frameworks or AI tool integration patterns.
• Familiarity with vector databases such as Pinecone, Weaviate, OpenSearch, or similar.
• Experience with CI/CD pipelines and containerized deployments using Docker and Kubernetes.
• Exposure to enterprise platform integrations such as ServiceNow, Snowflake, or similar systems.
• Familiarity with observability tools such as Datadog, Prometheus, or similar platforms.

#LI-ONSITE

#LI-TH3

THE ROLE

The Storage Benchmarking Engineer will design, execute, and analyze performance benchmarks using industry-standard tools like fio, vdbench, SPEC SFS 2020, IO500, MLPerf, and more. This role demands strong end-to-end performance troubleshooting skills across the entire stack (compute, network, and storage), along with collaboration with engineering, product management, marketing, and sales teams. The ideal candidate will have experience engaging with benchmark standards organizations and communities, exceptional communication and writing skills.

WHAT YOU'LL DO

• Configure HPC lab environment so all systems can achieve maximum efficiency and scale to support a variety of different test harnesses. This includes robust automation to ensure labs can be rapidly configured/reconfigured to meet a variety of different benchmarks. 
• Design and execute storage performance benchmarks using industry-standard benchmarks, including fio, vdbench, SPEC SFS 2020, IO500, MLPerf, SPC-1/SPC-2 (or similar benchmarks).
• Perform end-to-end performance troubleshooting and debugging across compute, network, and storage components to pinpoint and resolve bottlenecks and achieve the best possible results.  
• Develop and maintain automated benchmarking workflows using tools like Ansible, Python, or Bash to ensure rapid provisioning and efficient, repeatable, and reproducible test results.  
• Analyze benchmark results, generate detailed reports, and provide actionable insights to engineering teams for product optimization.  
• Collaborate with engineering, product management, marketing, and sales to align benchmarking efforts with product goals and customer needs.  
• Engage directly with benchmark standards organizations (e.g., SPEC, SNIA, MLCommons) and communities to influence methodologies and stay ahead of industry trends.  
• Deliver high-impact presentations to internal teams, customers, and external stakeholders, translating complex technical data into clear narratives.  
• Write technical marketing documents, whitepapers, and performance summaries to support product launches and customer engagement.  
• Maintain comprehensive documentation of benchmarking processes, configurations, and results.
• 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.

WHAT YOU BRING

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field (or equivalent experience).  
• 5+ years of experience in storage performance benchmarking or a related technical role.  
• Proven expertise with storage benchmarking tools, including:  fio: Flexible I/O tester for workload simulation, vdbench: Versatile storage benchmarking tool for enterprise workloads.  
• Standard Performance Evaluation Corporation (SPEC) Spec Sfs2020
• Strong end-to-end performance tuning and troubleshooting skills across the entire stack include compute, network, and storage layers.  
• Hands-on experience with automation tools (e.g., Python, Ansible, Bash) for test orchestration and data collection.  
• Demonstrated track record of interfacing with engineering, product management, marketing, and sales teams.
• Direct engagement with benchmark standards organizations (e.g., SPEC, SNIA, MLCommons etc) and storage benchmarking communities.  
• Exceptional communication skills, with proven ability to deliver engaging technical briefs and presentations to technical and non-technical audiences.  
• Strong writing skills, ideally with experience authoring technical marketing documents, whitepapers, or performance summaries.  
• Proficiency in data analysis and visualization tools (e.g., Python, R, sheets, Excel, Tableau etc).  
• Deep understanding and hands-on proficiency with enterprise storage technologies (e.g., NVMe, SSDs, and scale up and scale out block/file/object storage, distributed systems).  
• Experience with Everpure Storage products (e.g., FlashArray, FlashBlade) or similar enterprise block, file and object storage platforms.  
• Familiarity with cloud storage (e.g., AWS S3, Azure Blob, Google Cloud Storage) or HPC environments.  
• Knowledge of containerized benchmarking workflows using Docker or Kubernetes.  
• Prior contributions to benchmark standards or open-source performance tools. 

#LI-ONSITE

THE ROLE

Everpure is seeking a talented and experienced Agentic AI Software Engineer to join our dynamic team in Santa Clara, CA. In this role, you will build production-grade agentic AI solutions that drive enterprise automation and digital transformation. You will design and deploy LLM-based services , implement strong prompt engineering techniques, guardrails, and model evaluation frameworks, and ensure secure, scalable delivery on AWS. This role focuses on building reliable, secure, and observable AI systems integrated with enterprise platforms.

WHAT YOU'LL DO

• Design and develop production-grade Agentic AI solutions using LLMs, multi-agent workflows, and RAG pipelines.
• Implement and refine Prompt Engineering strategies, including structured prompts, tool-calling, and agent orchestration to ensure reliable and deterministic AI behavior.
• Build secure backend services and REST APIs in Python, integrating AI agents with enterprise systems using microservices architecture.
• Establish robust guardrails, including output validation, fallback strategies, rate limiting, safe tool invocation, and human-in-the-loop patterns where appropriate.
• Develop and maintain model evaluation frameworks, including automated prompt testing, retrieval validation, regression testing, and performance benchmarking.
• Deploy and operate AI services on AWS, leveraging services such as EC2, S3, Lambda, RDS, and containerization using Docker and Kubernetes.
• Apply strong security best practices, including access control, data protection, audit logging, and secure API design.
• Ensure strong observability, monitoring, and reliability of AI-driven services in production.
• 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

• 3–6 years of professional software engineering experience building backend or distributed systems.
• Strong proficiency in Python and developing RESTful APIs.
• Hands-on experience building LLM-based or Agentic AI applications, including RAG, embeddings, and vector database integrations.
• Practical experience in Prompt Engineering and understanding of LLM behavior, limitations, and optimization techniques.
• Experience deploying and operating applications in AWS cloud environments.
• Experience implementing AI guardrails, model validation techniques, and production monitoring.
• Solid understanding of cloud-native security practices and secure system design.

Preferred Qualifications

• Experience with multi-agent orchestration frameworks or AI tool integration patterns.
• Familiarity with vector databases such as Pinecone, Weaviate, OpenSearch, or similar.
• Experience with CI/CD pipelines and containerized deployments using Docker and Kubernetes.
• Exposure to enterprise platform integrations such as ServiceNow, Snowflake, or similar systems.
• Familiarity with observability tools such as Datadog, Prometheus, or similar platforms.

#LI-ONSITE 

#LI-TH3

THE ROLE

The Release Manager is a senior individual contributor position requiring a blend of technical depth, process discipline, and strong cross-functional coordination skills to ensure that software releases are planned, coordinated, and delivered efficiently, reliably, and with minimal disruption to business operations. Acting as the central point of control for release activities, this individual partners with development teams, environment owners, and network operations to manage the end-to-end release process from release planning  through deployment and post-release review.

WHAT YOU'LL DO

Release Planning & Coordination

• Establish and maintain release calendars across ERP (e.g., SAP, NetSuite), CRM (e.g., Salesforce, Logik), and integration tools (e.g., Boomi).
• Own and maintain the enterprise release calendar, aligning release timelines and environment maintenance with business priorities and technical readiness.
• Collate release scope, dependencies, and schedules across multiple applications, teams, and environments.
• Facilitate, go/no-go meetings, and cutover planning sessions.

Governance & Quality Assurance

• Ensure all releases meet defined entry/exit criteria, change control policies, and compliance requirements.
• Define and continuously refine release management standards, templates, and best practices.
• Maintain release documentation, including release notes, deployment plans, and rollback procedures.
• Establish and administer environment management governance, promotion criteria, and promotion governance practices
• Ensure runbooks for environment refresh and system deployment are in place and current for the individual platforms and the environments as a whole.

Execution & Risk Management

• In collaboration with individual platform and domain owners, oversee and coordinate deployment execution across environments (test, QA/SIT, pre-production, production).
• Identify, communicate, and manage release-related dependencies, risks, and issues. Develop and track mitigation and rollback plans as needed.
• Serve as the primary escalation point during release execution, ensuring timely resolution of blocking issues for deployments.

Collaboration & Communication

• Provide clear, consistent communication on release scope, schedule, and status to critical stakeholders including PMO, OCM, development teams, and business stakeholders.
• Collaborate with PMO and teams to ensure program plans and PI plans account for and are in alignment with the release calendar.
• Engage with business partners to ensure release plans, environment management plans, and overall release calendars include business-driven black-out periods and other key business events that can affect deployment and go-live of new releases.

Continuous Improvement

• Establish release-related metrics for success, including measures such as release success rates, deployment frequency, refresh cycle time, and change failure rates.
• Produce and distribute regular release dashboards and reports, including key release-related success metrics, upcoming releases and deployments, and environment maintenance.
• Partner with SRE, DevOps, and development teams to automate and streamline release processes.
• Conduct periodic reviews and drive continuous improvement initiatives to enhance release quality, reliability, and speed.
• Contribute to the evolution of CI/CD and environment management practices based on objective data and lessons-learned from release retrospectives and incident response.

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

WHAT YOU BRING

Required

• Detail-oriented with strong analytical and problem-solving skills.
• Calm and decisive under pressure, able to quickly respond to issues and remediate problems
• Process-driven yet adaptable to agile and fast-moving delivery models.
• Previous experience managing release across multiple business applications CRM, ERP, HCM etc..
• Collaborative, proactive communicator who builds trust across technical and business teams.
• Excellent communication, organizational, and stakeholder management skills.
• Demonstrated ability to manage multiple concurrent releases under tight deadlines with minimal supervision.
• 8+ years of experience in release management, build/release engineering, or DevOps coordination in complex IT or high-tech product environments.
• Strong understanding of software development lifecycles (SDLC), agile methods, and ITIL release management principles.
• Proven experience coordinating cross-functional teams and developing governance structures
• Solid technical understanding of work planning tools (e.g. JIRA), CI/CD pipelines, source control (e.g., Git), and deployment automation tools (e.g., Jenkins, Azure DevOps, GitHub CI/CD).

Preferred

• Familiarity with cloud environments (AWS, Azure, GCP) and containerized deployments (Docker, Kubernetes)
• Familiarity with Observability platforms such as Datadog and Splunk
• ITIL Foundation or similar certification
• Working knowledge of Scaled Agile Framework and practices such as PI Planning
• Experience in regulated or large enterprise environments
• Experience working with ServiceNow for change management, CMDB and other functions

#LI-TH3,  #LI-ONSITE

THE ROLE

As the Principal Product Manager for FlashArray//ST, you will lead the multi-year vision for the world’s most demanding ultra-low-latency data storage platform. You are the architect of a market-winning strategy that transforms Tier-0 transactional workloads—like global payments and high-frequency trading—into seamless business outcomes. Collaborating closely with Engineering and Sales leadership, you will solidify our position as the undisputed performance leader, ensuring our most ambitious customers can scale without limits.

WHAT YOU’LL DO

• Define and Champion the Multi-Year Strategy: Own the roadmap for the FlashArray//ST NVMe-oF platform, creating clear differentiation against legacy arrays and custom servers to capture the Tier-0 database and SaaS market.

• Translate Vision into System Reality: Convert complex customer feedback and telemetry into crisp requirements for hardware, Purity software, and host integrations, ensuring every feature release directly improves system performance, resiliency, and operational simplicity.

• Accelerate Market Adoption and Revenue: Partner with key customers in financial services, healthcare, and tech to validate workload requirements (IOPS, latency SLOs) and turn early-stage POC wins into repeatable, scalable global sales playbooks.

• Orchestrate the Product Lifecycle: Lead the platform through every stage—from initial concept and beta to growth and disciplined end-of-life transitions—balancing performance trade-offs with supply chain and operational excellence.

• Codify Competitive Superiority: Establish the definitive "when and why" for choosing //ST over other systems, developing the configuration rules and observability tools that empower our field teams to win.

WHAT YOU BRING

• Expertise in Enterprise Systems: A proven track record of owning the full lifecycle of performance-critical infrastructure, such as Tier-0 storage, low-latency databases, or high-performance compute platforms.

• Deep Technical Mastery: A sophisticated understanding of modern storage stacks (NVMe, NVMe-oF, RDMA) and the ability to navigate the trade-offs between flash media durability, RAID/erasure coding, and system throughput.

• Workload-Centric Thinking: The ability to translate the demanding requirements of environments like Oracle, SAP HANA, and Kubernetes into concrete system-level SLAs for data protection and availability.

• Strategic Influence: Exceptional communication skills with the ability to influence C-level stakeholders and senior architects, using data-driven insights (telemetry and benchmarks) to drive investment trade-offs.

• Location: 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.

#LI-ONSITE  #LI-BL1

THE ROLE:

Are you passionate about driving innovation in the data storage industry? Are you skilled in crafting technical solutions that exceed customer expectations? If so, we have an exciting opportunity for you! Everpure (formerly Pure Storage), a leader in the data storage and flash technology space, is seeking a talented and motivated Senior Pre-Sales Systems Engineer to join our dynamic team. 

As a Senior Pre-Sales Systems Engineer, you will play a crucial role in understanding our customers' unique challenges and tailoring Everpure solutions to meet their specific needs. Collaborating closely with the sales team, you will act as a technical expert during the sales process, helping to showcase the value of our products and services.

WHAT YOU’LL DO:

• Develop an exhaustive understanding of what drives a customer’s business and what motivates their decision making
• Connect the dots from technology solutions, inclusive of the Everpure portfolio and others from the ecosystem, to measurable customer business outcomes
• Partner closely with account managers, specialists and channel partners to create a seamless and holistic customer experience and strategy to drive revenue growth and net new business
• Delight customers and teammates with your technical leadership and domain expertise on storage products, distributed storage architectures, file systems, and competitive storage offerings in the DAS, NAS and SAN product spaces
• Take control of evaluations,  benchmarks and system configurations
• Build and deliver technical product and architecture presentations with vigor to customers and lock in the technical win with clients and prospective accounts
• Capture requirements and translate Customer’s business needs into innovative solutions to accelerate their growth and capacity
• Seek out and spur new opportunities for interoperability, functional, and performance testing/validation
• Promote mutual roadmap and planning exchanges
• Liaise with product and technical marketing to produce materials (i.e. whitepaper, web presentations) that support overall alliance plans and objectives
• Stay current with the competition and ensure that materials accurately reflect the latest, differentiated solution positioning
• Move with market trends and competitive landscape to promote thought leadership within our organization
• Lead by example living the Everpure Values:  Persistence, Creativity, Teamwork, Ownership and Customer-first  

WHAT YOU BRING:

• Pre-sales experience is required
• 5 or more years of relevant experience, mixed among technology, design, and communications required. Experience supporting the sales of enterprise storage, networking, systems, cloud, or software to enterprise accounts preferred
• Deep understanding of the architecture, design and implementation of multi-tiered client/server and web-based computing solutions
• Must have a familiarity with modern web architecture a plus (LAMP stack, scale-out vs scale-up architectures, AWS well-architected framework, microservices architecture)
• Prior experience in targeting new prospects and converting them into clients
• Contribute significant portions and/or lead responses to RFPs, RFQs and RFIs
• Superior knowledge of current and emerging storage architectures (FC, iSCSI, NAS, OSD, SAN)
• Previous experience with Linux, NFS file systems and Linux distributed network environment
• Installation/configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache architectures, windowing systems
• Strong knowledge of digital transformation to a Cloud Native architecture, On-Prem, Public Cloud, Provisioning Automation, and Containers
• Knowledge of VMware, Local Area Networking, Ethernet, TCP/IP and general networking
• Familiarity with AWS, Azure, GCP, containers, k8s and microservices architectures a plus
• Curiosity and passion around technology and explaining and showing new technology platforms and concepts to customers
• Familiarity with storage-intensive applications and their requirements such as structured databases (SQL, Oracle) is highly desirable
• Excellent verbal and written interpersonal skills

#LI-REMOTE

#LI-JL4

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

As a Senior Customer Success Manager (CSM), you will serve as a trusted advisor and customer advocate, personalizing the Everpure and Portworx experience for our clients. You'll build strong relationships, manage the end-to-end post-sales journey, and act as a subject matter expert by bridging communication between customers and our internal teams. Your mission will be to ensure successful deployment, drive adoption, and deliver value realization that contributes to renewals and growth.

WHAT YOU'LL DO

• Own the overall post-sales service delivery relationship with key customers, managing everything from onboarding and adoption to escalations and renewals to ensure a seamless and positive experience.
• Develop a deep understanding of your customer’s business priorities, technical environment, and challenges to act as a strategic advisor and align our technology with their business goals.
• Drive growth and satisfaction by delivering quarterly business reviews, and identifying opportunities to expand the customer’s use of Everpure and Portworx. 
• Act as a primary customer advocate and conduit into various cross-functional teams, including Sales, Support, Engineering, and Executive leadership, to ensure the customer's voice is heard and issues are resolved.
• Lead key operational and growth reviews to ensure smooth service delivery, manage risk, and plan for future capacity needs and expansions.

WHAT YOU BRING

• 5 + years’ experience in customer-facing, relationship management role. Prior experience in TAM, CSM, Professional Services, Support and Sales Engineer (or similar) roles.
• 1 + years experience working with container orchestration technology in an enterprise environment
• Customer Success Expertise: Proven experience in a customer-facing, relationship management role, demonstrating the ability to build trusted partnerships with premier enterprise clients.
• Technical Acumen: Working knowledge of container orchestration technologies, especially Kubernetes, and a broad understanding of the cloud-native landscape, including public cloud platforms like GCP, AWS, and Azure. Familiarity with application onboarding, performance measurement & Storage.
• Exceptional Communication: Excellent written, verbal, and presentation skills with the ability to articulate technical issues to both technical and non-technical audiences and effectively present to executives.
• Project Management Skills: The ability to manage multiple projects and customers simultaneously, define project urgency, and execute detailed action plans in a fast-paced and ambiguous environment.

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.

#LI-ONSITE

THE ROLE:

Are you passionate about driving innovation in the cyber resilience space? Are you skilled in crafting technical solutions that exceed customer expectations? If so, we have an exciting opportunity for you! Everpure (formerly Pure Storage), a leader in the data storage and flash technology space, is seeking a talented and motivated Senior Pre-Sales Systems Engineer within a Pod model for an emerging business positioned for high growth

As a Senior Pre-Sales Systems Engineer, you will play a crucial role in understanding our customers' unique challenges and tailoring solutions to meet their specific needs. Collaborating closely with the sales team, you will act as a technical expert during the sales process, helping to showcase the value of our products and services.

WHAT YOU’LL DO:

• Develop an exhaustive understanding of what drives a customer’s business and what motivates their decision making
• Delight customers and teammates with your technical leadership and domain expertise in Disaster Recovery and Cyber Resilience, storage products, and competitive offerings in the DR and Cyber Resilience product spaces
• Connect the dots from technology solutions, inclusive of the Everpure portfolio and others from the ecosystem, to measurable customer business outcomes
• Partner closely with account managers, specialists and channel partners to create a seamless and holistic customer experience and strategy to drive revenue growth and net new business
• Take control of evaluations, benchmarks and system configurations
• Build and deliver technical product and architecture presentations with vigor to customers and lock in the technical win with clients and prospective accounts
• Capture requirements and translate Customer’s business needs into innovative solutions to accelerate their growth and capacity
• Seek out and spur new opportunities for interoperability, functional, and performance testing/validation
• Promote mutual roadmap and planning exchanges
• Liaise with product and technical marketing to produce materials (i.e. whitepaper, web presentations) that support overall alliance plans and objectives
• Stay current with the competition and ensure that materials accurately reflect the latest, differentiated solution positioning
• Move with market trends and competitive landscape to promote thought leadership within our organization
• Lead by example living the Everpure Values:  Persistence, Creativity, Teamwork, Ownership and Customer-first  

WHAT YOU BRING:

• Pre-sales experience is required
• 5 or more years of relevant experience, mixed among technology, design, and communications required. Experience supporting the sales of enterprise software, SaaS, storage, or cloud to enterprise accounts preferred
• Deep understanding of the architecture, design and implementation of multi-tiered Cyber Resilience and Disaster Recovery solutions
• Prior experience in targeting new prospects and converting them into clients
• Contribute significant portions and/or lead responses to RFPs, RFQs and RFIs
• Working knowledge of applications relevant for DR/Cyber Recovery including Active Directory, DNS, Layer 2/3 networking
• Working knowledge of VMware (vCenter, ESX, virtualized storage and networking)
• Working knowledge of AWS (EC2, EBS), Azure, GCP, containers, k8s and microservices architectures a plus
• Strong focus on understanding how to speed up PoCs to move pipeline opportunities from validation to late-stage/deal close
• Curiosity and passion around technology and explaining and showing new technology platforms and concepts to customers
• Excellent verbal and written interpersonal skills

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#LI-REMOTE

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 ROLE 

Join Portworx® by Everpure™ and drive technical positioning for Kubernetes data management within our high-growth Cloud Native Business Unit. You will bridge the gap between complex engineering and customer success by designing immersive demos and narratives for AI/ML and modern virtualization workloads. This role empowers you to influence product direction through direct collaboration with Product, Sales, and the global CNCF community. You’ll build a visible industry brand while working alongside a passionate, supportive team dedicated to the evolution of the Everpure™ Platform.

WHAT YOU'LL DO

• Strategic Content Leadership: Architect and produce high-impact technical assets—from deep-dive white papers to interactive labs—that translate Portworx® capabilities into tangible solutions for complex customer pain points.
• Industry Thought Leadership: Drive global market awareness by securing speaking engagements at major industry conferences and cultivating expert-level engagement within the open-source and cloud-native communities.
• Technical Subject Matter Expertise: Serve as the definitive technical authority for the Portworx® portfolio, specifically optimizing alliance solutions with partners like Red Hat and SUSE to differentiate our offerings in a competitive landscape.
• Go-To-Market Enablement: Orchestrate comprehensive technical training and enablement packages for Sales Engineering and Field Marketing to ensure the global sales organization is proficient in demonstrating the value of the Everpure™ Platform.

WHAT YOU BRING

• Technical Marketing Authority: Extensive professional background in Technical Marketing, Solutions Architecture, or Developer Advocacy, specifically focused on the Kubernetes and cloud-native ecosystem.
• Communication Excellence: A proven ability to transform intricate technical data into compelling, market-ready narratives and the confidence to present these insights to both executive and highly technical audiences (Platform Engineers, DevOps, Cloud Architects, SREs, IT infrastructure managers, and IT Decision Makers).
• Cloud-Native Proficiency: Experience in platform engineering, DevOps best practices, and modern technologies including container storage, data protection, and the infrastructure requirements of AI/ML workloads.
• Strategic Collaboration: The ability to navigate cross-functional environments, aligning with Product Management and Alliances to drive business impact and set the standard for best-in-class technical execution.
• Location: 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.

#LI-ONSITE #LI-KQ1

The Impact You’ll Be Contributing to Moloco:

We are seeking a Senior Security Engineer to strengthen the security posture of our cloud infrastructure and applications. This role is critical to proactively identifying and reducing risk, automating security controls, and ensuring Moloco’s platforms remain secure, resilient, and compliant as the business scales.

The Opportunity:

As a Senior Security Engineer, you will partner closely with DevOps, platform, and application teams to embed security into day-to-day engineering workflows. You will help shift security left, reduce operational risk, and enable teams to move fast without compromising security.

1. Integrated Security: Embeds automated security testing (SAST/DAST) into CI/CD pipelines to identify vulnerabilities early.
2. Secure Infrastructure: Implements safeguards across infrastructure-as-code, containers, and cloud environments to minimize risk from misconfigurations or unintended use.
3. Threat Management: Automates vulnerability scans and real-time threat responses to reduce risks. Participate in security triage and vulnerability management process. 
4. Compliance: Ensures adherence to standards like SOC 2 or GDPR within DevOps processes.
5. Efficiency: Automates manual security tasks, accelerates development, and reduces delays caused by late-stage fixes.
6. Resilience: Builds robust defenses against evolving threats with incident response playbooks and threat intelligence.

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

Minimum Requirements:

• 5+ years of experience as a Security Engineer or in a similar role with a strong foundation in CI/CD, automation, and cloud infrastructure
• Strong understanding of cloud security principles (AWS, GCP, or Azure)
• Experience securing CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins, Harness)
• Familiarity with infrastructure-as-code and related security tools
• Proficiency in scripting languages (Python, Bash, etc)
• Hands-on experience with container security (e.g., Docker image scanning, Kubernetes best practices)
• Knowledge of IAM, secrets management, and secure key handling
• Experience with vulnerability scanning, remediation workflows, and risk prioritization.
• Ability to identify and mitigate misconfigurations in cloud and IaC environments
• Comfortable collaborating with DevOps, platform, and application teams

Preferred Qualifications:

• Familiarity with compliance frameworks (SOC 2, ISO 27001, NIST, etc.)
• Experience with security monitoring and incident response processes
• Exposure to SIEM or EDR tools (e.g., Splunk, CrowdStrike, Google SecOps)
• Experience with SAST/DAST and dependency scanning tools
• Familiarity with zero-trust networking concepts
• Knowledge of threat modeling and risk assessment practices

Expression of Interest

We know that for the most talented engineers, the right opportunity is about more than just a job title, it’s about the right challenge at the right time. Even if our current openings don't perfectly fit your timing and interests today, we still want to hear from you. We view this as a priority pathway to connect with curious, driven MLEs whose unique expertise can help us architect the next generation of planet-scale ML systems. 

At Moloco, our mission is to empower the global digital economy by turning massive first-party data into measurable business outcomes. Whether it’s optimizing real-time bidding for Moloco Ads or building AI-native stacks for Streaming and Commerce, we’re looking for engineers to help us lead the shift toward a more performance-driven, AI-powered internet.

If you’re excited to scale and innovate in a fast-moving environment, share your profile and we will reach out the moment we see a potential match for your experiences and future goals.

About the Role

As a Machine Learning Engineer at Moloco, you will design, train, and deploy the large‑scale models that power our programmatic advertising and commerce media products. You will work at the heart of our real-time bidding and pricing systems, helping shape an end-to-end ML ecosystem that processes billions of daily events. Your work will directly improve marketplace performance for global advertisers and publishers by optimizing for relevance, ROI, and user experience at a scale few companies can match.

The Opportunity

• Architect and iterate on high-performance models that improve ad relevance, click-through rates, and conversion performance.
• Productionize and maintain scalable ML pipelines - from data ingestion to online inference - on top of planet-scale infrastructure.
• Extract insights from massive datasets of user behavior and auction signals to define new features and refine modeling strategies.
• Translate business goals (revenue, ROI, engagement) into concrete modeling challenges and success metrics in collaboration with Product and Data Science.
• Validate innovation through rigorous experimentation, including A/B tests, offline evaluations, and counterfactual analyses.
• Balance marketplace health by implementing models that harmonize advertiser value with a high-quality user experience.
• Enhance system reliability by refining feature stores, monitoring data quality, and establishing robust debugging practices.
• Drive platform evolution, contributing to ML tools and guidelines that increase experimentation velocity and deployment speed.
• Optimize for performance, partnering with Infra teams to reduce latency and improve throughput for low-cost, high-scale decisioning.
• Elevate technical excellence by sharing best practices in modeling and production ML with the broader engineering team.

Expertise We Value:

MLEs at Moloco are hands-on builders of some of the world’s highest-scale ML workloads. They bridge technical innovation with global revenue outcomes, owning the critical systems that define our next generation of machine learning and optimization platforms.

While every journey is unique, we find that the most successful MLEs at Moloco bring a deep technical foundation in the following areas:

• Production ML at Scale: 5-12+ years of experience delivering ML solutions in high-stakes production environments (e.g., Ads, Recommenders, Search, or Marketplaces), with a track record of scaling models for massive throughput and low-latency requirements.
• Algorithmic Mastery: A strong foundation in ML and statistics applied to real-world business challenges, with expertise in areas such as ranking, calibration, exploration-exploitation, causal inference, or multi‑objective optimization.
• Full-Lifecycle Engineering: Deep understanding of the end-to-end ML lifecycle, including data pipelining, feature engineering, model architecture, inference optimization, and the deployment of models into online systems.
• Technical Versatility: Proficiency across a modern ML toolkit (Python, SQL, and frameworks like TensorFlow or PyTorch) and experience leveraging data processing stacks like Spark, Beam, or Flink to deliver results at scale.
• Operational Stewardship: Experience ensuring the long-term health of ML systems in live environments—monitoring performance, diagnosing drift, and iterating based on real-world feedback to maintain measurable impact.
• Technical Mentorship: A passion for advancing the team’s collective bar by sharing best practices for large-scale ML systems and guiding the technical direction of complex machine learning initiatives.

Our Tech Stack:

• Languages: Python, Go, C++
• ML Frameworks: TensorFlow, PyTorch, JAX
• Infrastructure: GCP, AWS, Kubernetes, Spark, BigQuery, BigTable

How You Work: 

• Your ethos is ownership
• You thrive in ambiguity and enjoy partnering with others to shape vague requirements into clear roadmaps with pragmatic tradeoffs.
• You take shared accountability for the end-to-end journey; communicating progress, surfacing risks early, and following through to ensure your work creates measurable value.
• You demonstrate strong judgment under uncertainty. 
• You prioritize based on long-term impact, over short-term noise, making deliberate decisions when information is incomplete.
• You explicitly weigh tradeoffs like speed vs. quality and remain agile enough to adjust your approach thoughtfully as new information/data emerges.
• You lead through clarity and active listening. 
• You reduce ambiguity for the team by asking the right questions upfront, tailor your communication to your audience, document your decisions, and bring helpful structure to complex discussions. 
• You provide thoughtful, evidence-based feedback when needed and align behind decisions once they are made.
• You collaborate early, instead of solving in isolation.
• You build trust across the organization by listening first and navigate conflicting needs with empathy, creating buy-in around priorities and scope. 
• You navigate technical tensions productively, disagreeing thoughtfully while maintaining momentum and strengthening professional relationships.
• You fall in love with the problem, not the solution
• You build for the long run, looking beyond immediate tasks to understand root causes, second-order effects, and the long-term health of our ML ecosystem. 
• When something breaks, you don’t just patch it; you seek structural improvements that prevent recurrence and elevate the technical bar for the entire organization.
• You prioritize customer impact and take action to make it real.
• You prioritize effective solutions that drive business impact over technical elegance, spotting opportunities that others might overlook. 
• You have the initiative to turn ideas into outcomes and the agency to identify and fix gaps, even when they aren’t yet on the formal roadmap.

You can apply for this role through our Open Positions page (or through our Internal Job Board if you are a current employee). We will review submissions on an ongoing basis.

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.