Software Validation Engineer, Energy Storage 

The Redwood Vision: Architecting the Future of the Grid 

We are at the precipice of a global energy transition. At Redwood Materials, we are moving beyond battery recycling to build the most advanced, circular energy ecosystem on the planet. Our goal is to shift the industry from static, hardware-heavy infrastructure toward agile, software-defined energy assets. The Software Validation team ensures that these complex systems are safe, resilient, and ready for grid-scale deployment. 

As a Software Validation Engineer, you are the bridge between pure code and physical reality. You will design and maintain the environments—Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL)—that allow us to stress-test our power electronics and site controllers. Your mission is to build the automated frameworks that catch edge cases before they hit the field, ensuring every product we ship meets the highest standards of reliability. 

Key Responsibilities 

• Validation Environment Design: Architect and scale our SIL and HIL environments (using platforms like Typhoon HIL, Opal-RT, or similar) to provide high-fidelity simulations of battery assets and grid conditions
• Test Automation Frameworks: Lead the development of automated test suites in Python. You will transition our validation processes from manual intervention to a fully automated, scalable framework
• V&V Strategy: Define and execute comprehensive Verification and Validation (V&V) plans, ensuring all software requirements for the site controller and embedded power electronics are met under normal and fault conditions
• CI/CD Integration: Integrate automated HIL/SIL testing into our CI/CD pipelines, providing real-time feedback to the development teams and serving as the final gate for production-ready code
• Hardware-in-the-Loop Interfacing: Design custom interface hardware and wiring for HIL benches, bridging physical I/O from our controllers to simulated power stages
• Root Cause Analysis: Work closely with the firmware and systems teams to debug complex failures found during validation, using logic analyzers, oscilloscopes, and telemetry logs to pinpoint issues

Qualifications 

• Background: A BS or MS in Electrical Engineering, Computer Engineering, or a related field, combined with 2+ years of professional experience in software validation or test automation for hardware-focused systems
• HIL/SIL Mastery: Proven experience with real-time simulation platforms (Typhoon HIL, Opal-RT, or dSPACE) and a deep understanding of how to model power electronics components in a virtual environment
• Automation Toolchain: Expert proficiency in Python (specifically for test automation frameworks like Pytest) and familiarity with Rust and C/C++ to navigate embedded codebases
• Hardware Literacy: Comfortable in a high-voltage lab environment. You should be proficient with standard lab equipment (oscilloscopes, power supplies, electronic loads) and digital protocols like CAN, SPI, and Ethernet
• Systematic Thinking: A dedicated mindset for "breaking" software. You have a track record of finding critical edge cases in complex state machines and control loops
• Infrastructure: Experience with Git, Jenkins/GitHub Actions, and containerization tools like Docker for managing consistent test environments

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

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

• 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 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

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

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

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

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

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

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

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

What you will do: 

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

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

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

What Makes You Stand Out

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

Benefits 

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

What we offer:

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

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

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

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

The Role

We are seeking a seasoned, hands-on Full-Stack Engineer with a proactive, "gets-it-done" attitude to be a foundational member of a new team. You will be instrumental in building the code that brings this new product to life.

This role is for a true builder who thrives on ambiguity, loves to tackle "0-to-1" challenges, and can own complex features from the database all the way to the UI. You will be a key technical voice, collaborating directly with product management and other senior engineers to define and deliver on our vision.

What You'll Do

• Build from Scratch: Write high-quality, maintainable code for both the backend (Python/Node/Go) and frontend (React), working in a balanced 50/50 split.
• Collaborate on Architecture: Work closely with Staff Engineers and Product Managers to define and refine the system architecture for a new product.
• Own the Lifecycle: Design, develop, test, and maintain new features from concept to production.
• Champion Quality: Write comprehensive unit, integration, and end-to-end tests to ensure code quality and system reliability.
• Collaborate Broadly: Work closely with Product Managers to refine requirements and translate business needs into technical solutions.
• Thrive in Ambiguity: Excel in a fast-paced, agile environment where priorities can shift quickly and proactive problem-solving is essential.

What You Bring (Must-Haves)

• Extensive Experience: 8+ years (14+ preferred) of professional software development experience building complex, large-scale applications.
• Proactive & Problem-Solving Mindset: A "gets-it-done" attitude is your most critical soft skill. You are a self-starter who identifies problems and builds solutions.
• Backend Expertise: 3+ years of strong, professional Python/Node.Js/Go experience in a production environment, building robust APIs and backend services.
• Frontend Expertise: 3+ years of strong, professional React experience, with a deep understanding of the modern React ecosystem, including: State Management, UI Libraries, Frameworks, and Testing.
• Commitment to Testing: A non-negotiable belief in the importance of comprehensive testing.
• Excellent Communication: The ability to articulate complex technical ideas to technical and non-technical audiences.

What We'd Love to See (Nice-to-Haves)

• Proven experience leading or co-leading system architecture decisions.
• Experience with both relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, DynamoDB).
• Hands-on experience with Docker and CI/CD pipelines (e.g., GitHub Actions, Jenkins).

What We Offer

.Monks has provided a compensation range that represents its good faith estimate of what Media.Monks may pay for the position at the time of posting .Monks may ultimately pay more or less than the posted compensation range. The salary offered to the selected candidate will be determined based on job-related factors, but not based on a candidate’s sex or any other protected status.

United States, Remote 
$90,000 - $95,000 Pending Experience and Seniority.

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

Workato Inc. seeks Staff Engineer in Palo Alto, CA

Job Duties:

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

Minimum Requirements:

Special Skill Requirements: 

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

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

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

#LI-DNI

#LI-DNI

Team Description: 

The 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.

Senior Software Engineer

Location: Playa Vista, California (in-person, five days per week)

Launch has changed the economics of space. Now it is time to return. 

Outpost is building the missing infrastructure between orbit and Earth: reusable vehicles that can bring payloads back from space and deliver them to a precise location within hours. We call it exologistics, space-to-Earth logistics at planetary scale. This is not a paper concept or a distant roadmap. Our system is in active development, with core technologies advancing toward flight readiness. 

The need is already here and the market has responded. We have validated demand through multiple defense and civil agreements, and a growing pipeline across government and commercial customers.  

Outpost is building the logistics layer that makes space economically useful in a new way: the ability to move material from orbit to Earth quickly, reliably, and affordably. Over time, that supports point-to-point logistics, 10 tons of cargo, anywhere on Earth in an hour. It also creates the foundation for a reusable reentry network and enables new categories of space activity, including in-space manufacturing, supporting AI data centers, advanced manufacturing and novel materials. 

We have a strong foundation, clear demand, and a technical path in front of us. Now the company is scaling rapidly. We are expanding the team, growing our operational footprint, and building the systems needed to execute at the next level. This is a chance to join a company with real traction, working on a problem that matters, at the point where execution and scale begin to define the outcome.

The Team

As Senior Software Engineer, you will be working with all aspects of the Outpost software stack, from application layer flight code, GNC integration, embedded systems, all the way to Ground Software. You'll collaborate closely with avionics hardware engineers, GNC specialists, and other team members to create efficient and sustainable solutions. This position offers the chance to engage in all aspects of spacecraft development, from system architecture and rapid prototyping to full flight/Earth-Return projects, managing flight hardware during ground tests, and providing mission operations support. 

Responsibilities

• Design and develop all flight, ground, & operations software for Outpost missions.
• Work cross functionally with all other disciplines (GNC, Power, Propulsion, and Thermal) to support algorithm implementation and integration into the software.
• Write quality bare metal, RTOS, or Linux based software for embedded processors in C/C++.
• Develop driver-level code to interface with sensors and actuators onboard the vehicle.
• Own the complete lifecycle of software development, from design, testing, to integration.
• Conduct bring-up activities in SITL and HITL environments to test avionics & software integration.

Qualifications 

• Bachelor's or Master’s degree in computer science, computer engineering, electrical engineering, or another related field.
• Experience writing flight software that has flown in space.
• Minimum of 6 years of spacecraft software engineering or software development experience in C++ or a similar language.
• Work on-site in Playa Vista, CA.

Preferred Experience   

• Experience with FAA Part 450 commercial space launch and reentry licensing requirements.
• Experience writing safety-critical software, especially for aerospace applications.
• Strong understanding of computer architecture and operating systems.
• Experience integrating GNC algorithms into FSW.
• Extensive spacecraft software development experience across a range of languages (e.g. C++/Python).
• Hands-on experience with serial protocols such as UART, CAN, I2C, SPI, and/or Ethernet(TCP/UDP).
• Hands-on experience with lab equipment such as oscilloscopes, logic analyzers, and digital multimeters.
• Familiarity with Docker, Git, CMake, and GNU tools.
• Ability to work independently and communicate effectively.

Compensation & Benefits

• Competitive compensation: $160,000 - $220,000; (commensurate with experience).
• Additional Compensation:  Annual performance-based bonuses that reward your impact.
• Shared upside: Meaningful equity in Outpost so you share directly in the value you help create.
• Comprehensive healthcare: Medical, dental, and vision coverage to keep you and your loved ones covered. We cover the base tier of medical insurance and all premiums of vision and dental. 
  
• Protection when it matters: Company-provided short- and long-term disability coverage for peace of mind, plus life insurance for even more security.
• PTO: Recharge on your own terms with paid time off, plus 9 days of paid holidays.
• Invest in your future: 401(k) with company match to help you build long-term wealth.
• Fueled for the mission: Daily DoorDash lunch stipend, plus unlimited snacks, coffee, and tea to keep you energized.
• Mission that matters: Work shoulder-to-shoulder with leaders from aerospace, new space, and deep-tech industries building the future of orbital infrastructure.
• Pet Friendly Office: Bring your furry friend into the office so that they can be a part of our mission too.
• Monthly Company Happy Hours and Events: Drinks at the local bar, hibachi nights, mini golfing and more! 

You must be a U.S. citizen or lawful permanent resident of the U.S., protected individual as defined by 22 C.F.R. § 120.15 ,or eligible to obtain the required authorizations from the U.S. Department of State

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

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

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 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

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

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

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

Responsibilities

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

Minimum Qualifications

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

Preferred Qualifications

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

OVERVIEW

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

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

The ALO internship programs starts June 8th and ends July 31st. Interns will be working 40 hours a week at our San Ramon, CA office.

RESPONSIBILITIES  

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

MINIMUM QUALIFICATIONS

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

PREFERRED QUALIFICATIONS

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

WHAT YOU'LL GAIN

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

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

Overview

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

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

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

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

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

Responsibilities

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Qualifications

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

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

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

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

• Experience with frontend development using React.

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

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

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

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

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

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

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

• Experience with source control and collaboration using GitHub.

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

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

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

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

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

• Data-driven problem solver with pragmatic engineering judgment.

• Excellent cross-functional collaboration and communication skills.

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

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

OVERVIEW

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

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

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

RESPONSIBILITIES  

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

QUALIFICATIONS

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

PREFERRED QUALIFICATIONS

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

WHAT YOU'LL GAIN

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

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

Okta’s Business Technology organization builds secure and intelligent internal platforms that power our global workforce. Our AI & Automation team is delivering next-generation tools and experiences by integrating GenAI and intelligent automation into workflows across IT, HR, Finance, Sales, Marketing and Customer Support.

We focus on real-world applications: virtual agents, AI copilots, internal RAG services, and AI-augmented self-service portals — all with scale, governance, and user experience in mind.

The Opportunity

As a Senior Software Engineer, Applied AI, you’ll play a key role in building user-facing and backend systems that leverage GenAI to improve internal experiences and operations. This role requires strong full-stack engineering skills, with an emphasis on both AI integration and building intuitive, performant UIs that make AI accessible and useful to our internal customers.

You’ll work closely with software engineers, product managers, and designers to build secure, intelligent tools for employees across Okta.

What You’ll Do

• Design and build end-to-end GenAI-powered applications, including web-based UIs, API services, and backend orchestration.

• Implement and integrate LLM-based experiences using frameworks like LangChain, LlamaIndex, and tools like OpenAI, Claude, or Gemini.

• Define, implement, and champion operational excellence standards (SLOs, observability, incident response frameworks) for all services deployed.

• Develop responsive, accessible, and modern frontend interfaces using frameworks like React or Vue — with a focus on usability, performance, and trust in AI outputs.

• Build and maintain a library of reusable frontend components and hooks that allow other business delivery teams to easily "drop in" GenAI capabilities into their own applications.

• Build and maintain retrieval-augmented generation (RAG) pipelines with vector search and embedding strategies (e.g., Pinecone, FAISS, Qdrant).

• Collaborate with designers and product managers to rapidly iterate on UX patterns for AI-powered experiences (e.g., prompt inputs, citations, summaries).

• Ensure security, privacy, observability, and test coverage across the full stack.

• Contribute to architecture decisions, engineering standards, and best practices for AI/automation systems.

• Partner with platform and infrastructure teams to ensure services scale reliably across the org.

What You’ll Bring

• 5–8 years of software engineering experience with full-stack development, including 2+ years of building AI/ML-driven applications.

• Strong Python development skills and 5+ years experience building cloud-based services using AWS, Docker, and RESTful APIs.

• 2+ years of experience in frontend technologies like React, TypeScript, or Vue, and comfort working on UI/UX for internal tools or enterprise applications.

• Hands-on experience with LLM integration, RAG pipelines, prompt engineering, or orchestration frameworks like LangChain or LlamaIndex.

• Strong background in distributed systems, APIs, microservices, container orchestration (ECS/EKS), and cloud platforms (AWS/GCP/Azure).

• Familiarity with secure coding, authentication/authorization, and internal data governance best practices.

• Ability to collaborate across engineering, design, and product teams — with a strong sense of user empathy and technical ownership.

• Bonus: Exposure to design systems, AI evaluation tooling, or real-time application performance monitoring.

Why Join Okta

• Make AI Real: Design and build AI-powered apps used daily by Okta employees.

• Full-Stack Challenge: Tackle end-to-end problems — from LLM orchestration to intuitive UIs.

• Trusted Innovation: Join a team committed to security, ethics, and technical excellence in AI.

#LI-MK1

#LI-hybrid

P24739_3355024

We are seeking an experienced Staff Software Engineer to join Okta's Universal Directory Platform team within the Product Platform Pillar. The team serves as the intelligent core of the enterprise security fabric, maintaining the source of truth for all identity assets and their associated relationships.

**This role follows a hybrid model requiring two days per week in our San Francisco office.**

Opportunity

This position will be involved into development, design, and maintenance of our highly performant, reliable, and scalable platform, which is critical for managing user lifecycles, groups, and memberships. The successful candidate will possess experience in building and deploying scalable, reliable software and infrastructure within a cloud environment.

What you’ll be doing 

• Understand our identity management group codebase and development process: Jira, Technical Designs, Code Review, Testing, and Deployment.
• Develop and implement frameworks and toolings for our Universal Directory Service platform.
• Design and implement high-performance distributed scalable and fault-tolerant software components.
• Quickly deliver high-quality bug fixes and handle customer-reported issues.
• Conduct quality code reviews and automated testings.  
• Partner with our Product Development, QA, and Site Reliability Engineering teams for scoping the development and deployment work.

What you’ll bring to the role

• The ideal candidate is someone who is experienced building software systems to manage and deploy reliable and performant infrastructure and product code at scale on a cloud infrastructure.
• 7+ years of Software Development in Java, preferably significant experiences with Hibernate and Spring Boot. 
• 5+ years of development experience building services, internal tools and frameworks.
• 3+ years experience automating and deploying large scale production services in AWS, GCP or similar.
• Hands-on understanding with the practical application of SQL databases.
• Experience working with systems of scale ranging from monolithic applications to microservices.
• Ability to work effectively with distributed teams and people of various backgrounds.

And extra credit if you have experience in any of the following! 

• B.S. Computer Science or equivalent
• Experience with the Go programming language.
• Experience of PostgreSQL, Docker and Kubernetes.
• Experience working with Active Directory or Microsoft Azure.

P17918_3419596

#LI-TM

#Hybrid

The Staff Software Engineer Opportunity

Okta Developer Foundations team is looking for a Staff Software Engineer to help us scale and increase velocity. You will be driving and perfecting our vision of Continuous Delivery, increasing the velocity and productivity of engineering.  You will work with a wide range of stakeholders and partners, including Engineers, Architects, Operations, Program Management, and Quality. We have a great team driving innovative projects--join us and bring your ideas!

What you’ll be doing 

• Build high quality tools and automation for internal use to support continuous delivery and developer productivity. 
• Design and implement Continuous Delivery pipelines for a diverse set of projects using Java, Jenkins, AWS, Docker, Python, Node, iOS, Ruby, Bash, and Go. 
• Provide technical input by implementing Proof of Concept, influence the choice of the right technology, contribute to existing frameworks, and reviewing design and code. 
• Roll out deliverables to internal customers in phases, monitor adoption, collect feedback, and fine-tune the project to respond to internal customers’ needs.
• Support pre-prod infrastructure in AWS--monitoring, backup and restore, SLA, cost control, deployment.

What you'll bring

• Solid understanding of CI/CD release pipelines and infrastructure (5+ years exp)
• Experience working with Gradle, Bazel, Artifactory, Docker registry, NPM registry
• Experience with AWS, its services, and its supporting tools (cost control, reporting, environment management).
• Experience with Android and/or iOS (mobile build infrastructure) is a plus
• Ability to coordinate cross-functional work toward task completion.
• B.S. in CS or equivalent

(P10971_3417085)

#LI-Hybrid 

#BB-1

The Team: AI Frameworks & Services (AIFS)

The way software acts in the world is changing. AI agents don't just respond to users. They take actions, call APIs, hold credentials, and operate across systems on behalf of people and organizations. That shift raises a fundamental question: how do you extend identity to an agent?

The AI Framework & Services team sits within Auth0's AI Products organization and is focused on exactly that problem. We're building the product capabilities that let developers bring identity and authorization into agentic systems, treating agents as real principals with real access controls and real accountability.

This is an early-stage, high-ownership space. The product surface is still being defined, the customer problems are real and unsolved, and the team shapes both what we build and how we build it. We work closely with security, platform, and product partners to deliver capabilities that developers can trust in production.

The Opportunity

As a Senior Software Engineer on the AIFS team, you'll own and deliver product capabilities at the intersection of identity, security, and AI-powered applications. Your primary focus will be backend systems: APIs, services, integration patterns, and the infrastructure that makes access control work reliably at scale. You'll also work across the stack when the product demands it.

You'll work in an environment where the right abstractions aren't always obvious, where customer needs are still crystallizing, and where what you build today may become foundational to how developers authenticate and authorize AI agents tomorrow. If you want real ownership of hard problems in a space that matters, this role is for it.

What You'll Do

• Design and implement backend systems, APIs, and services that bring identity and authorization capabilities to AI agent workflows.
• Own features end-to-end, from technical design through production, with attention to reliability, security, and developer experience.
• Build integrations that allow agents to securely acquire, use, and scope access credentials in real-world environments.
• Contribute to system design decisions, make thoughtful technical tradeoffs, and communicate them clearly to peers and partners.
• Help define patterns and abstractions for problems the industry hasn't fully solved yet: agent identity, delegated access, trust boundaries across agentic systems.
• Instrument and monitor production systems with a bias toward observability, operational health, and fast incident response.
• Collaborate closely with product, security, and platform partners to shape what gets built and how it integrates with the broader Auth0 platform.
• Provide substantive code reviews and mentor teammates in ways that raise the engineering bar across the team.

What You Bring

• Proven experience designing and shipping production-grade backend systems: APIs, services, and integrations that operate at scale under real constraints.
• Strong foundation in one or more backend languages (Node.js/TypeScript, Go, Python, or similar); comfortable with REST and event-driven API patterns.
• Experience building in ambiguous, fast-moving environments where the problem definition evolves alongside the solution.
• A security-conscious mindset: you think about how credentials are handled, how trust is established, and what can go wrong at the integration boundary.
• Strong system design skills. You can scope a feature, identify the tradeoffs, and deliver something that holds up in production.
• Collaborative instincts: you work well across functions, communicate constraints clearly, and help the people around you move faster.
• Comfort operating in a product engineering context, writing code that serves real customers, not just internal tools.

Nice to Haves

• Experience with identity, authentication, or authorization systems (OAuth 2.0, OIDC, FAPI, token-based access control).

• Familiarity with AI agent frameworks, orchestration tools, or the Model Context Protocol (MCP).

• Exposure to agentic application patterns: tool use, multi-step workflows, agent-to-agent communication.

• Experience with containerized environments (Docker/Kubernetes) and cloud infrastructure (AWS, GCP, or Azure).

• Prior work on developer-facing APIs, SDKs, or integrations where developer experience was a first-class concern.

• Contributions to open-source projects relevant to identity, security, or AI tooling.

Nice to Haves

• Experience with identity, authentication, or authorization systems (OAuth 2.0, OIDC, FAPI, token-based access control).
• Familiarity with AI agent frameworks, orchestration tools, or the Model Context Protocol (MCP).
• Exposure to agentic application patterns: tool use, multi-step workflows, agent-to-agent communication.
• Experience with containerized environments (Docker/Kubernetes) and cloud infrastructure (AWS, GCP, or Azure).
• Prior work on developer-facing APIs, SDKs, or integrations where developer experience was a first-class concern.
• Contributions to open-source projects relevant to identity, security, or AI tooling.

Why You'll Love It Here

This is a team working at the edge of what identity means in a world of AI agents. You'll have real ownership of hard, unsolved problems, backed by Okta's platform, Auth0's developer relationships, and a team that values technical depth and customer impact in equal measure.

You'll help shape the product, not just implement a backlog. You'll work with people who care about getting the details right. And you'll be building something that matters to the developers and organizations trying to do AI responsibly.

#LI-Hybrid

P23579_3266926

What You’ll Do:

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

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

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

What You Need:

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

Bonus Qualifications:

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

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

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

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

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

Custom Application Question:

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

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

The Problems You'll Solve

At Carta, our employees set out on a mission to unlock the power of equity ownership for more people in more places. We believe that the problems we solve today unlock the opportunities of tomorrow.  As a Senior Site Reliability Engineer, you’ll work to: 

• Build and scale our internal  platform offerings (compute, storage and networking services) to ensure the reliability, and performance of our applications.
• Design and implement monitoring, alerting, and incident response systems.
• Collaborate with application software engineers (as needed) to guide their design and ensure it scales for what Carta needs in the long run.
• Act as an agent of change and push boundaries to incrementally improve our systems as we expand globally.

The Team You'll Work With

You’ll be joining the Infrastructure Engineering team at Carta. The Infrastructure Engineering team is responsible for providing secure, reliable, scalable and performant infrastructure to Carta’s customers and developers.

We are Software and Infrastructure Engineers who specialize in cloud computing, networking, systems design and architecture, storage, real time data telemetry, associated automation, tooling and processes. We possess a breadth and depth of knowledge about Carta’s infrastructure and industry wide best practices, that translates into leverage for Carta’s business.

About You

You are excited by the idea of developing scalable, reliable and efficient infrastructure that powers the entire company. We’re looking for strong communicators who enjoy collaborating to solve complex problems. Familiarity with infrastructure best practices on performance, reliability and security and their associated tools is appreciated. 

Our stack is Python, Java, Terraform, gRPC, Docker, Kubernetes, Postgres, running on AWS. Come join us! 

• Cloud Platforms: Extensive experience with cloud services such as AWS, Google Cloud Platform, or Azure, including services like EC2, S3, RDS, and Lambda. Experience with Kubernetes or other container orchestration is preferred!
• Infrastructure as Code (IaC): Proficient in using tools such as Terraform, Ansible, or CloudFormation for managing and provisioning cloud infrastructure.
• Networking: Experience with networking concepts and tools, including Container Network Interface (CNI), Network policy implementations. Experience with proxies and service mesh is a big plus. 
• Monitoring and Observability: Strong knowledge of monitoring tools and practices, such as Prometheus, Grafana, ELK Stack, or Datadog, and the ability to set up and maintain comprehensive monitoring solutions.
• Software Development: Proficiency in Python, with the ability to write efficient, maintainable, and scalable code.
• API Services: Experience in designing, deploying, and maintaining API services, with a strong understanding of RESTful and/or GraphQL API design principles.
• AI Fluency: You use AI tools in your own day-to-day work in addition to enabling others. You're comfortable building agents to reduce toil and expect this to be a normal part of how you operate.
• Experience operating CI/CD and its associated best practices is also appreciated though not essential.

Salary

Carta’s compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions plans. Our minimum cash compensation (salary + commission if applicable) range for this role is: 

• $181,688 - $213,750 in Seattle, WA
• $191,250 - $225,000 in Santa Clara, CA  or San Francisco, CA

Final offers may vary from the amount listed based on geography, candidate experience and expertise, and other factors.

The role, in a nutshell:

We’re looking for highly motivated sales executives who have strong market knowledge and enjoy building relationships with key decision makers to evangelize building secure and reliable software. Our sales team walks a mile in their customers shoes and wants our customers and prospects to see the immense value and expertise Chainguard's solutions offer.

What you'll do:

• Define and execute sales plans for your assigned territory
• Convey value prop and product differentiators to prospects and customers
• Forecast, meet, and exceed quota
• Through a combination of inbound and outbound leads, develop and manage leads funnel
• Manage business and track opportunities through CRM and other supporting tools
• Collaborate on and improve all aspects of the sales cycle, including product, support, and sales engineering
• Understand the competitive market, being familiar with competing companies and their offerings
• US Based 

What we're looking for:

• 3+ years of closing experience in the SaaS/Security/DevOps industry required
• This candidate must be located in California
• Strong track record consistently overachieving sales targets (Top 10-20% of company)
• Entrepreneurial – Willing to go the extra mile, strong work ethic, resourceful.
• Team player
• Competitive/Driven
• Ability to learn new products and create/learn processes quickly
• Excellent communication skills verbal and written
• Must be willing to travel to clients to support sales relationships (if required)

Desired Qualifications:

• Domain experience with one or more of the following strongly recommended: Compute platforms (Kubernetes, Docker, AWS, Azure, Google Cloud), DevOps Tooling, CICD platforms (Github, Gitlab, jenkins), and overall SDLC.
• Startup experience
• A strong sales aptitude and fundamental understanding of the sales process
• A sound, tech-savvy business acumen and the ability to articulate a compelling value proposition in a complex and evolving business environment
• Ability to thrive in an agile environment with an ever-evolving set of solution
  
  

On-Target Earnings: $250,000

ABOUT THE TEAM

Anduril’s Tactical Recon & Strike (TRS) is a division with two missions: 1) build highly capable autonomous drones, and 2) build solid rocket motors at scale. We transform products like Ghost, Anvil, Bolt, and Altius from early concepts into fully operational capabilities by partnering closely with specialist engineering, operations, and production teams. Through our Anduril Rocket Motor Systems (RMS) team, we design and manufacture solid rocket motors using advanced materials, proprietary formulations, and high-volume production methods—delivering safe, reliable propulsion systems that support a wide range of mission requirements. TRS hires software engineers & hardware engineers, who are excited to build across a diverse and powerful portfolio—from autonomous aerial systems to high-performance solid rocket motors. Our teams contribute to highly capable autonomous robotics systems and propulsion products that operate reliably in the most demanding mission environment.

THE ROLE

This position is on the TRS Core Infrastructure team and will be focused on building the infrastructure to field TRS Products such as Altius, Ghost, Bolt and Anvil. Our charter is to provide the foundation for teams across Anduril to deploy cutting edge TRS autonomy and to tie it all together into an easy-to-use product. The solutions that you will create address the current needs of our customers and will have immediate impact towards the success of our products.

WHAT YOU'LL DO

• Design, build, test, and release the testing infrastructure used during development & validation of Anduril Products including Software in the Loop (SITL) and Hardware in the Loop (HITL).
• Collaborate with cross-functional teams to integrate automated testing best practices into the software development lifecycle.
• Build tools in Python to facilitate development, testing, and release.
• Develop and maintain continuous integration/continuous delivery (CI/CD) pipelines.
• Interface with engineers developing every aspect of the system from low-level Linux drivers to cutting edge autonomy and streamlined user interfaces.
• Ensure that the testing infrastructure is robust and ready to facilitate the rapid development needed to keep pace with emerging product needs.

REQUIRED QUALIFICATIONS

• At least 3+ years working with a variety of programming languages such as Python, Rust, C++, Go, etc.
• Want to work on building the tools that engineers and technicians will use to ensure that Anduril products are ready to be deployed.
• Experience with modern build and deployment tooling (e.g. CircleCI, Docker, NixOS, Terraform).
• Are passionate about developer experience and always strive to provide the most streamlined testing pipeline.
• Have an intuition for finding solutions to complex problems that involve multiple first and third party technologies (related to simulation, data management, compute infrastructure, networking, and more).
• Enjoy collaborating with team members and partners in the autonomy domain, and building technologies and processes which enable engineers to rapidly develop and test autonomous systems at scale.
• Eligible to obtain and maintain an active U.S. Secret security clearance.

PREFERRED QUALIFICATIONS

• You've built or invented something: an app, a website, game, startup.
• Previous experience working in an engineering setting: a startup (or startup-like environment), engineering school, etc.
• Professional software development lifecycle experience using tools such as version control, CI/CD systems, etc.
• A deep, demonstrated understanding of how computers and networks work, from a single desktop to a multi-cluster cloud node (UDP, TCP, gRPC, REST, etc.).
• Have built user interfaces using popular frontend frameworks (React, PySide, etc.).
• Experience creating automated Software in the Loop (SITL) and Hardware in the Loop (HITL) tests for robotics or embedded products.
• Experience building scalable backend software systems with various data storage and processing requirements.
• Experience with industry standard cloud platforms (AWS, Azure), CI/CD tools, and software infrastructure fundamentals (networking, security, distributed systems).
• Ability to quickly understand and navigate complex systems and established code bases.
• Experience designing complex software systems, and iterating upon designs via a technical design review process.
• Familiarity with industry standard monitoring, logging, and data management tools and best practices.
• A bias towards rapid delivery and iteration.

ABOUT THE TEAM

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

ABOUT THE JOB

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

WHAT YOU’LL DO

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

REQUIRED QUALIFICATIONS

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

PREFERRED QUALIFICATIONS

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

ABOUT THE TEAM

Anduril’s Tactical Recon & Strike (TRS) is a division with two missions: 1) build highly capable autonomous drones, and 2) build solid rocket motors at scale. We transform products like Ghost, Anvil, Bolt, and Altius from early concepts into fully operational capabilities by partnering closely with specialist engineering, operations, and production teams. Through our Anduril Rocket Motor Systems (RMS) team, we design and manufacture solid rocket motors using advanced materials, proprietary formulations, and high-volume production methods—delivering safe, reliable propulsion systems that support a wide range of mission requirements. TRS hires software engineers & hardware engineers, who are excited to build across a diverse and powerful portfolio—from autonomous aerial systems to high-performance solid rocket motors. Our teams contribute to highly capable autonomous robotics systems and propulsion products that operate reliably in the most demanding mission environment.

ABOUT THE JOB

This position is on the TRS Core Infrastructure team and will be focused on building the infrastructure to field TRS Products such as Altius, Ghost, Bolt and Anvil. Our charter is to provide the foundation for teams across Anduril to deploy cutting edge TRS autonomy and to tie it all together into an easy-to-use product. The solutions that you will create address the current needs of our customers and will have immediate impact towards the success of our products.

WHAT YOU'LL DO

• Design, build, test, and release the tools used during manufacturing and deployment of Anduril Products.
• Help define foundational software architectures, configuration processes, and user experience workflows for our products, working directly with chief engineers, program managers, flight test engineers, and end-user customers to demonstrate capability and iterate on feedback.
• Create solutions in Python/Rust/C++/Go that integrate into software product lifecycle technologies like NixOS/CircleCI/Docker.
• Interface with engineers developing every aspect of the system from low-level Linux drivers to cutting edge autonomy and streamlined user interfaces.
• Test and evaluate your software at multiple levels of rigor using simulations, benchtop hardware, and live flight assets.

REQUIRED QUALIFICATIONS

• At least 3+ years working with a variety of programming languages such as Python, Rust, C++, Go, etc.
• Have experience working with customers to deliver novel software capabilities.
• Want to work on building the tools that technicians, engineers, and operators will use to prepare Altius for real-world missions.
• Are passionate about user experience and always strive to provide the most streamlined product.
• Have an intuition for finding solutions to complex problems that involve multiple first and third party technologies (related to simulation, data management, compute infrastructure, networking, and more).
• Enjoy collaborating with team members and partners in the autonomy domain, and building technologies and processes which enable users to safely and rapidly develop and deploy autonomous systems at scale.
• Eligible to obtain and maintain an active U.S. Secret security clearance.

PREFERRED QUALIFICATIONS

• You've built or invented something: an app, a website, game, startup.
• Previous experience working in an engineering setting: a startup (or startup-like environment), engineering school, etc.
• Professional software development lifecycle experience using tools such as version control, CI/CD systems, etc.
• A deep, demonstrated understanding of how computers and networks work, from a single desktop to a multi-cluster cloud node (UDP, TCP, gRPC, REST, etc.).
• Understanding of Linux kernel architecture: Familiarity with device trees, bootloaders, and other kernel components.
• Experience creating infrastructure for robots or other complex embedded devices.
• Experience building scalable backend software systems with various data storage and processing requirements.
• Experience with industry standard cloud platforms (AWS, Azure), CI/CD tools, and software infrastructure fundamentals (networking, security, distributed systems).
• Ability to quickly understand and navigate complex systems and established code bases.
• Experience with modern build and deployment tooling (e.g. CircleCI, Docker, NixOS, Terraform).
• Experience designing complex software systems, and iterating upon designs via a technical design review process.
• Familiarity with industry standard monitoring, logging, and data management tools and best practices.
• A bias towards rapid delivery and iteration.

ABOUT THE TEAM

Anduril’s Tactical Recon & Strike (TRS) is a division with two missions: 1) build highly capable autonomous drones, and 2) build solid rocket motors at scale. We transform products like Ghost, Anvil, Bolt, and Altius from early concepts into fully operational capabilities by partnering closely with specialist engineering, operations, and production teams. Through our Anduril Rocket Motor Systems (RMS) team, we design and manufacture solid rocket motors using advanced materials, proprietary formulations, and high-volume production methods—delivering safe, reliable propulsion systems that support a wide range of mission requirements. TRS hires software engineers & hardware engineers, who are excited to build across a diverse and powerful portfolio—from autonomous aerial systems to high-performance solid rocket motors. Our teams contribute to highly capable autonomous robotics systems and propulsion products that operate reliably in the most demanding mission environment.

ABOUT THE JOB

We are looking for C2 Software Engineers to join our team. As a C2 Software Engineer at Anduril, you will be architecting and building out ground control automation software, implementing user interface applications from backend to frontend, deploying them to users, and making sure they're meeting users' requirements directly. You will be working alongside a team of engineers with diverse backgrounds as well as engaging with internal and external stakeholders. The C2 software is every Anduril customer's view into our company and products, so the reward is high and the opportunity is unbounded. The Tactical C2 Software team has openings for web/cloud (React/AWS), mobile (Android), and embedded software (Linux/NixOS) engineering specialties, so you choose how to make an impact on our team!

WHAT YOU'LL DO

• Design, build, test, and deploy real-time moving-map user interfaces for commanding missions and teams of autonomous systems.
• Define and implement APIs and services for datalink network communications, situational awareness and telemetry, robotics control and configuration, and sensor data like full motion video or signals intelligence.
• Regularly develop with modern full stack technologies for one or more C2 platforms:
  
  • Cloud: Python, Golang, JavaScript/TypeScript, React, AWS, Docker, Kubernetes, Terraform
  • Embedded: Python, C++, Rust, Embedded Linux, Nix/NixOS
• Test and evaluate your software at multiple levels of rigor using high-fidelity simulations, benchtop hardware, and live flight exercises at our various Anduril test sites across the country.

REQUIRED QUALIFICATIONS

• Degree in Computer Science, Computer Engineering, Aerospace Engineering, or another related technical degree.
• Proficiency in one or more skills of at least one of the C2 platforms listed above: Cloud, Mobile, or Embedded.
• Willingness to provide on call support to various internal or external customers.
• Eligible to obtain and maintain an active U.S. Secret security clearance.

PREFERRED QUALIFICATIONS

• Experience with 3D geospatial analysis and mapping software such as ArcGIS, Cesium, OpenLayers, MapBox, or TAK.
• Experience with client/server networking technologies and relationships such as TCP/UDP/Multicast, HTTP (REST), or protobuf/gRPC.
• Experience with robotic systems where hardware, physical actuators, datalink networks, sensors and effectors are employed to translate software concepts to physical interactions with the world.
• Experience with build system and software lifecycle technologies such as CMake, Cargo, gradle, NixOS, CircleCI, Gitlab-CI, Docker, Python, Bash, and other developer operations tools.
• Experience developing user interface software that does not require Internet access or has local/offline functionality.
• Experience in a startup or small company working environment where deadlines are tight, requirements are open-ended, and the teams are often fewer than 10 people.
• Experience with government or military technology where safety is paramount, regulations must be balanced, and operational environments are tightly controlled.

ABOUT THE TEAM

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

ABOUT THE JOB

As a Senior Site Reliability Engineer on the Maritime Digital Shipbuilding team, you will build and operate the infrastructure that keeps our digital production systems running at full speed. You’ll develop and manage CI/CD pipelines, automate infrastructure with code, and deploy applications and machine learning models across cloud and edge environments with security, traceability, and reliability in mind.

You’ll work closely with software, data, and operations engineers to turn designs into working systems—streamlining development, improving performance, and keeping production stable as we scale. You’ll also collaborate with digital, manufacturing, and corporate technology teams across Anduril in a high-tech, fast-paced culture of innovation focused on solving real problems and delivering results.

If you’re driven to build systems that last, thrive on deep technical challenges, and want to see your work directly shape how we design, build, and sustain complex platforms, you’ll be helping build the future of digital shipbuilding and the next generation of maritime vehicles.

WHAT YOU'LL DO

• Build and Manage CI/CD Pipelines: Develop and maintain CI/CD pipelines using tools like GitHub Actions and Jfrog Artifactory to ensure seamless integration and deployment of machine learning models and applications.
• Infrastructure as Code (IaC): Utilize Terraform and Ansible to automate infrastructure provisioning and management on cloud platforms such as Azure, AWS, or Google Cloud Platform (GCP).
• Containerization and Orchestration: Implement containerization solutions with Docker and manage container orchestration using Kubernetes to ensure reliable deployment and scaling of applications.
• Model Management and Deployment: Set up and maintain model registries and feature stores (e.g., MLflow, Kubeflow), and manage deployment pipelines for both batch and real-time inference.
• Monitoring and Logging: Establish comprehensive monitoring and logging solutions using tools like ELK Stack (Elasticsearch, Logstash, Kibana), Prometheus, and Grafana to ensure the smooth operation of deployment environments.
• Collaborate with Cross-Functional Teams: Work closely with development, data science, and operations teams to foster collaboration and ensure the efficient and effective deployment of machine learning models.
• Optimize Performance: Utilize parallel computing frameworks such as CUDA and OpenCL to accelerate high-performance computing tasks, ensuring timely processing of large datasets and complex simulations.

REQUIRED QUALIFICATIONS

• Advanced proficiency in programming languages (Python for scripting and integration).
• Experience with CI/CD tools like GitHub Actions, Jfrog Artifactory, and Git.
• Proficiency with IaC tools (Terraform, Ansible).
• Experience with cloud platforms (Azure, AWS, GCP).
• Proficiency in containerization (Docker) and container orchestration (Kubernetes).
• Knowledge of model registries and feature stores (e.g., MLflow, Kubeflow).
• Experience with logging and monitoring tools (ELK Stack, Prometheus, Grafana).
• Understanding of parallel computing frameworks (CUDA, OpenCL).
• Strong collaboration skills and proficiency with collaborative tools (JIRA, Confluence).
• Eligible to obtain and maintain an active U.S. Secret security clearance.

PREFERRED QUALIFICATIONS

• Previous experience in a manufacturing or industrial setting.
• Familiarity with observability concepts and tools.
• Knowledge of security best practices for DevOps and MLOps.

ABOUT THE TEAM

Anduril’s Tactical Recon & Strike (TRS) is a division with two missions: 1) build highly capable autonomous drones, and 2) build solid rocket motors at scale. We transform products like Ghost, Anvil, Bolt, and Altius from early concepts into fully operational capabilities by partnering closely with specialist engineering, operations, and production teams. Through our Anduril Rocket Motor Systems (RMS) team, we design and manufacture solid rocket motors using advanced materials, proprietary formulations, and high-volume production methods—delivering safe, reliable propulsion systems that support a wide range of mission requirements. TRS hires software engineers & hardware engineers, who are excited to build across a diverse and powerful portfolio—from autonomous aerial systems to high-performance solid rocket motors. Our teams contribute to highly capable autonomous robotics systems and propulsion products that operate reliably in the most demanding mission environment.

THE ROLE

This position is on the TRS Core Infrastructure team and will be focused on building the infrastructure to field TRS Products such as Altius, Ghost, Bolt and Anvil. Our charter is to provide the foundation for teams across Anduril to deploy cutting edge TRS autonomy and to tie it all together into an easy-to-use product. The solutions that you will create address the current needs of our customers and will have immediate impact towards the success of our products.

WHAT YOU'LL DO

• Design, build, test, and release the testing infrastructure used during development & validation of Anduril Products including Software in the Loop (SITL) and Hardware in the Loop (HITL).
• Collaborate with cross-functional teams to integrate automated testing best practices into the software development lifecycle.
• Build tools in Python to facilitate development, testing, and release.
• Develop and maintain continuous integration/continuous delivery (CI/CD) pipelines.
• Interface with engineers developing every aspect of the system from low-level Linux drivers to cutting edge autonomy and streamlined user interfaces.
• Ensure that the testing infrastructure is robust and ready to facilitate the rapid development needed to keep pace with emerging product needs.

REQUIRED QUALIFICATIONS

• At least 3+ years working with a variety of programming languages such as Python, Rust, C++, Go, etc.
• Want to work on building the tools that engineers and technicians will use to ensure that Anduril products are ready to be deployed.
• Experience with modern build and deployment tooling (e.g. CircleCI, Docker, NixOS, Terraform).
• Are passionate about developer experience and always strive to provide the most streamlined testing pipeline.
• Have an intuition for finding solutions to complex problems that involve multiple first and third party technologies (related to simulation, data management, compute infrastructure, networking, and more).
• Enjoy collaborating with team members and partners in the autonomy domain, and building technologies and processes which enable engineers to rapidly develop and test autonomous systems at scale.
• Eligible to obtain and maintain an active U.S. Secret security clearance.

PREFERRED QUALIFICATIONS

• You've built or invented something: an app, a website, game, startup.
• Previous experience working in an engineering setting: a startup (or startup-like environment), engineering school, etc.
• Professional software development lifecycle experience using tools such as version control, CI/CD systems, etc.
• A deep, demonstrated understanding of how computers and networks work, from a single desktop to a multi-cluster cloud node (UDP, TCP, gRPC, REST, etc.).
• Have built user interfaces using popular frontend frameworks (React, PySide, etc.).
• Experience creating automated Software in the Loop (SITL) and Hardware in the Loop (HITL) tests for robotics or embedded products.
• Experience building scalable backend software systems with various data storage and processing requirements.
• Experience with industry standard cloud platforms (AWS, Azure), CI/CD tools, and software infrastructure fundamentals (networking, security, distributed systems).
• Ability to quickly understand and navigate complex systems and established code bases.
• Experience designing complex software systems, and iterating upon designs via a technical design review process.
• Familiarity with industry standard monitoring, logging, and data management tools and best practices.
• A bias towards rapid delivery and iteration.

ABOUT THE TEAM:

Anduril's Endpoint Engineering team is building the next generation of endpoint management capabilities to support our rapidly growing enterprise and manufacturing operations. As a Senior Endpoint Systems Engineer, you'll drive strategic initiatives that impact thousands of endpoints across office and factory floor environments. You'll work closely with talented engineers, while collaborating with cross-functional teams including Security, Infrastructure, Manufacturing Operations, and IT Operations. This is an opportunity to shape the future of endpoint infrastructure at scale, with a strong focus on automation, virtual desktop technologies, and operational excellence.

WHAT YOU’LL DO

Technical Leadership & Strategy:

• Lead the design, implementation, and optimization of enterprise endpoint management solutions across Windows, macOS, Linux, and mobile platforms.
• Architect and maintain virtual desktop infrastructure (VDI) solutions using AWS WorkSpaces, Dell Wyse ThinOS, Azure Virtual Desktop, Citrix, or similar technologies.
• Define and drive endpoint strategy aligned with business goals, security requirements, and operational excellence.
• Establish authoritative standards for endpoint configurations, security baselines, and compliance frameworks.
• Evaluate and recommend new technologies, tools, and practices to improve endpoint management capabilities.
• Partner with Security, Infrastructure, Network, and Application teams to ensure cohesive endpoint architecture.

Automation & Infrastructure as Code:

• Design and implement comprehensive automation frameworks for endpoint provisioning, configuration, and lifecycle management.
• Develop advanced automation scripts and tools using PowerShell, Python, Bash, and Go.
• Build Infrastructure as Code solutions using Ansible, Terraform, Salt, Puppet, or Chef for endpoint management at scale.
• Create CI/CD pipelines for endpoint configuration deployment and testing.
• Develop self-service automation capabilities for common endpoint tasks.
• Optimize and automate patch management, software distribution, and OS deployment workflows.

Virtual Desktop Technologies:

• Architect, deploy, and maintain virtual desktop environments for enterprise and manufacturing use cases.
• Design session host configurations, golden images, and application delivery strategies.
• Optimize VDI performance, user experience, and resource utilization.
• Implement virtual desktop solutions for specialized use cases including factory floor, engineering workstations, and secure environments.
• Integrate virtual desktop infrastructure with endpoint management platforms and identity systems.
• Troubleshoot complex VDI issues and performance bottlenecks.

Operational Excellence:

• Provide expert-level support for complex endpoint and VDI incidents.
• Lead major incident response and root cause analysis for endpoint-related outages.
• Monitor, analyze, and optimize endpoint infrastructure performance and reliability.
• Develop comprehensive documentation including architecture diagrams, runbooks, and standards.
• Conduct capacity planning and performance tuning for endpoint and VDI systems.

REUIQRRED QUALIFICATIONS

• 6+ years of professional experience as an Endpoint Engineer, Client Platform Engineer, Systems Engineer, VDI Engineer, or similar role with increasing technical responsibility.
• Bachelor's degree in Computer Science, Information Technology, or related field, or equivalent experience.
• Deep expertise with endpoint management platforms (Intune, SCCM, FleetDM. Workspace ONE, Jamf Pro, IGEL).
• Proven experience architecting and managing virtual desktop infrastructure (AWS WorkSpaces, Azure Virtual Desktop, Citrix Virtual Apps and Desktops, VMware Horizon, or similar).
• Strong automation and scripting skills with demonstrated proficiency in PowerShell, Python, and Bash.
• Hands-on experience with Infrastructure as Code and configuration management tools (Ansible, Terraform, Salt, Puppet, Chef).
• Expert knowledge of Windows, macOS, and Linux operating systems at an enterprise scale.
• Deep understanding of endpoint security hardening, compliance frameworks, and vulnerability management.
• Strong experience with Active Directory, Entra ID (Azure AD), Okta, and hybrid identity architectures.
• Expertise in networking concepts including TCP/IP, DNS, DHCP, VPN, load balancing, and traffic optimization for virtual desktops.
• Experience with deployment technologies (PXE, KACE, MAAS, FOG, Tinkerbell, iPXE) and imaging solutions.
• Proven ability to design and implement solutions that scale across thousands of endpoints.
• Strong architectural thinking and ability to translate business requirements into technical solutions.
• Excellent communication and collaboration skills with ability to influence across technical and non-technical stakeholders.
• Eligible to obtain and maintain a U.S. TS clearance.

PREFERRED QUALIFICATIONS

• Experience with containerization technologies (Docker, Kubernetes) for application delivery.
• Hands-on experience with cloud-native endpoint management and modern workplace solutions.
• Experience in manufacturing, industrial, or OT (operational technology) environments.
• Deep knowledge of application virtualization and packaging (App-V, MSIX, ThinApp).
• Experience implementing zero trust architecture principles for endpoints.
• Experience with Git, GitHub/GitLab, and version control workflows for automation code.
• Understanding of API development and integration for endpoint management automation.
• Experience with multi-cloud or hybrid cloud endpoint strategies.