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

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.

Role

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

What you’ll do (Role Expectations)

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

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

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

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

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

Who You Are (Success Profile)

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

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

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

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

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

What We’re Looking for (Minimum Qualifications)

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

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

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

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

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

What Will Make You Stand Out (Preferred Qualifications)

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

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

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

#LI-Hybrid #LI-KM9

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

About ROLLER

ROLLER is not your average software-as-a-service company. With a global presence in over 30 countries, we're here to bring some excitement to the leisure and attractions industry and make a difference! Our mission is to help businesses operate smoothly and create fun and memorable guest experiences by providing seamless ticketing, point-of-sale, self-serve kiosks, memberships and digital waiver processes.

But here's the best part: our team. We're a group of 300+ highly passionate, enthusiastic, and down-to-earth professionals located all around the world who are all working together to build something truly remarkable. We're aiming high and believe that the possibilities are endless. As we continue to grow globally, we're excited to write our success story and have fun along the way.

We genuinely love what we do, and we're looking for like-minded people to join us on this amazing journey. If you're ready to be part of a dynamic team and make a real impact, come aboard, and let's create some unforgettable experiences together at ROLLER!

About the Role

We are seeking a highly technical, hands-on Senior Data Engineer to architect and scale our data infrastructure from the ground up. As a core member of the data function within our Business Technology team, you will be responsible for building the pipelines and models that power smarter decision-making and operational efficiency across the entire organization.

In this foundational role, you will build & architect the modern data stack, ensuring our infrastructure is robust, automated, and governed. You collaborate as a technical partner with GTM ,Product, Finance, P&C to build high-performance data models and pipelines that transform raw data into actionable cross-functional insights.

Joining ROLLER at this pivotal growth stage, you will have the opportunity to make an outsized impact on our technical landscape, directly influencing how we process data to deliver world-class experiences for our customers globally.

What You'll Do

• Scalable Architecture: Design and implement robust Data Modeling and Architecture strategies that support high-volume data processing and maintain long-term scalability.
• Cloud Ecosystem: Develop and manage end-to-end data pipelines using Google Cloud Platform services, specifically leveraging Cloud Run, Cloud Function for compute, BigQuery for storage, and Cloud Composer (Airflow) for orchestration.
• Transformation Excellence: Build, maintain, and document complex data transformation layers using DBT (Data Build Tool) to ensure high data quality and reliability.
• Infrastructure as Code: Automate the provisioning of cloud resources using Terraform and streamline deployment workflows via GitHub Actions CI/CD pipelines.
• Cloud Data Warehousing: Demonstrate expert-level proficiency in managing and optimizing Cloud Data Warehouses, such as Snowflake & BigQuery.
• Team Collaboration: Partner with cross-functional stakeholders to build and scale high-performing data infrastructure that supports engineering, analytics, and Data Program needs.
• Stack Management: Architect and maintain a modern data stack by implementing best-in-class tools including Snowflake, Bigquery, dbt, Fivetran, Looker, Tableau and Airflow.
• Pipeline Engineering: Develop scalable ETL/ELT workflows and robust data models to deliver real-time analytics and unified business reporting.
• Data Visualization: Create and maintain intuitive, high-performance Looker dashboards will be an added advantage.

About You

You are a technical builder who views data as a competitive advantage. You thrive in fast-paced environments and have a proven track record of engineering scalable data foundations from the ground up. Equal parts architect and analytical problem-solver, you excel at balancing long-term technical vision with the daily hands-on execution of complex pipelines.

You are energized by the full lifecycle of data—moving beyond just writing code to actively leading project discovery and analysis alongside cross-functional partners. You take pride in enabling GTM, Product, Finance & P&C teams through clear insights and high-performance systems. Most importantly, you are excited to act as a founding technical force for a high-growth SaaS company that is transforming the guest experience for attractions businesses globally.

• 5+ years of experience in Data & Analytics or Data Engineering with a focus on Scalable cloud driven data pipeline build

• Proven experience in dimensional modeling (Star/Snowflake schema) and designing architectures that support both historical reporting and real-time needs.
• Expert-level proficiency in Snowflake or BigQuery, including performance tuning, cost optimization, and access control (RBAC).
• Hands-on experience with Google Cloud Platform services, specifically Cloud Function, Cloud Run for containerized workloads and Cloud Composer for orchestration.

• Through hands-on experience of dbt (Data Build Tool) to manage transformations, including writing custom macros, implementing tests, and generating documentation.
• Solid experience using Terraform to provision cloud resources, ensuring that infrastructure is version-controlled and reproducible.
• Proficiency in GitHub Actions to automate testing and deployment pipelines for data models and infrastructure.
• Ability to design high-performance dashboards that prioritize user experience and fast load times.

• Experience collaborating with Finance, GTM, and Product to define key metrics (like CAC, LTV, or Churn) and codifying them into the data layer.
• Familiarity with data ingestion tools like Fivetran , Airbyte, Workato, Mulesoft to sync data from various SaaS platforms into the warehouse.

• Operates as a full-stack Data Engineer with the technical authority to architect and build entire data lifecycles, from raw source ingestion to high-impact data visualization.
• Familiarity with business-critical systems like Salesforce, Chargbee, Gainsight, and product analytics tools.
• Strong communicator with a track record of working across technical and non-technical teams to drive alignment.
• You have a high appetite for Technology and AI and a natural curiosity for how it can transform your work. You’re comfortable using AI tools to automate repetitive 'busy work,' freeing you up to focus on high-impact work.

We believe AI is a career-defining inflection point. ROLLER is a fast adopter of new technology like AI, and every team member is empowered to own their learning and use the latest tools to supercharge their impact. We’re looking for candidates with the proficiency and curiosity to embrace AI and technology — not just as a technical skill, but as a core competency to help us achieve big goals

Preferred Qualifications

• Experience partnering with IT or Business Technology teams to drive cross-functional outcomes.
• Exposure to customer success and revenue workflows, such as onboarding journeys, renewal metrics, or support analytics.
• Familiarity with AI/ML pipelines and experimentation frameworks that support data-driven innovation.

Perks!

• You'll get to work on a category-leading product that customers love in a fun, high-growth industry! Check our Capterra and G2 reviews.
• ROLLER Recharge days to celebrate and recharge once we've hit our goals
• Engage in our 'Vibe Tribe' - led by our team members; you can contribute to company-wide initiatives directly. Regular events and social activities, fundraising & cause-related campaigns...you name it. We're willing to make it happen!
• Team Member Assistance Program to proactively support our team's health and wellbeing - access to coaching, education modules, weekly webinars, and more.
• 16 weeks paid Parental Leave for primary carers and 4 weeks paid Parental Leave for secondary carers.
• Work with a driven, fun, and switched-on team that likes to raise the bar in all we do!
• Individual learning & development budget plus genuine career growth opportunities as we continue to expand!

What You Can Expect

1. Initial call with our Talent Acquisition Manager
   You'll have an initial call with our Talent Acquisition Manager to chat through some of your experience to date, salary expectations and you can check off any initial questions you might have.
2. Interview with the Hiring Manager
   You'll get to meet with the hiring manager to learn more about the role & ROLLER whilst also talking through your experience in more detail.
3. Loop Interviews
   This is where you will get to meet our wider ROLLER team to do a 'vibe check' on us to make sure our culture & vibe meet what you are looking for!
4. Offer
   If all lights are green and the fit feel right, we'll conduct reference checks and you'll receive an offer to join!

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

Key Responsibilities

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

Required Qualifications

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

Preferred Qualifications

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

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

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

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

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

THE ROLE

As 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

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.

P-2679_3410281

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 Software Engineer, DevOps 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.

Team Overview

The Security Applications & Tools (SAT) team within Lattice Platform Security builds custom software systems that detect, manage, and remediate vulnerabilities across Anduril's product ecosystem at scale. We don't just deploy scanners — we design and build distributed scanning infrastructure, policy enforcement engines, and vulnerability management platforms from the ground up. Our stack includes event-driven architectures on AWS, custom Go services, policy-as-code systems, and integrations that span CI pipelines to production environments.

Job Description

We're looking for a senior software engineer to design and build the systems that keep Anduril's software secure. This is a software engineering role first — you'll architect distributed systems, write production Go and Python, build APIs, and operate services at scale. The domain is security, but the work is building real software: custom scanning orchestration pipelines, policy engines that evaluate thousands of configurations against security rules, and data systems that track vulnerabilities across an entire product ecosystem. If you want to write code that solves hard engineering problems in the security space rather than configure off-the-shelf tools, this is the role.

Key Responsibilities

• Design and build distributed services for vulnerability scanning, policy enforcement, and remediation workflows
• Develop and extend the team's scanning orchestration platform — an event-driven architecture built on AWS (SQS, Lambda, S3, ECR) that processes scan events at org-wide scale
• Build and maintain policy-as-code systems that programmatically enforce security policy in CI/CD pipelines and deployment configurations
• Design APIs and CLIs that integrate security tooling into developer workflows without creating friction
• Develop data pipelines that aggregate, normalize, and route findings from multiple scanning engines into vulnerability management systems
• Collaborate with engineering teams across Anduril to understand their security needs and build tooling that addresses them
• Evaluate third-party security tools and build custom integrations or replacements where needed
• Participate in on-call rotation for security tooling infrastructure

Required Qualifications

• 5+ years of experience designing and developing production software systems
• Strong proficiency in Go — this is the team's primary language for backend services
• Experience building distributed systems or data pipelines (event-driven architectures, message queues, APIs, worker systems)
• Proficiency with Python for scripting, automation, and tooling
• Experience with cloud infrastructure (AWS preferred: Lambda, SQS, S3, ECR, or equivalent)
• Ability to read and understand security tool output (vulnerability reports, SBOMs, static analysis results) and build systems around it
• Strong communication skills with the ability to work across teams
• Eligible to obtain and maintain active U.S. Secret security clearance

Preferred Qualifications

• Experience with CI/CD systems (CircleCI, GitHub Actions) and building integrations for developer workflows
• Familiarity with container security concepts, SBOM generation tools (Syft), and vulnerability scanners (Trivy, Grype, Semgrep)
• Experience with Terraform and infrastructure-as-code
• Experience with policy-as-code frameworks (OPA/Rego, Conftest)
• Background in application security or product security engineering
• Experience with Kubernetes and container orchestration
• Familiarity with Nix build systems

ABOUT THE TEAM

The Supply Chain Analytics team is responsible for deeply understanding our internal supply chain data sources and transforming this data into: ad hoc reporting, dashboards, web applications, and automated workflows. The team partners with all of Anduril's supply chain (Procurement, Strategic Sourcing, Materials Management, etc.) and is tasked with equipping these teams with tools to deepen their visibility and accelerate processes.

ABOUT THE JOB

As a Senior Supply Chain Analytics Engineer, you will work with our business-wide Analytics Engineering team to ensure their SQL data pipelines are modeled correctly for supply chain reporting. You will use Palantir’s Foundry platform as your central resource for conducting ad-hoc analysis for supply chain teams, as well as producing dashboards and automated workflows that write back to our database via Python/Typescript actions. You will gain a deep understanding of the different supply chain domains, and craft tools that drive insights and workflows that enable real cost and time savings business impacts. You are onboard with the goal of building out a world-class business analytics layer with truly novel solutions to supply chain problems.

WHAT YOU'LL DO

• Use SQL to transform raw ERP data extractions into structured datasets within a centralized GitHub repository
• Use Palantir’s Foundry platform to generate dashboards and automated workflows backed by Python/Typescript code repositories
• Work with supply chain teams to define key performance metrics and implement systems for tracking over time
• Eliminate repetitious processes with programmatic automation in Python
• Manage cross-functional projects with clear and concise communication on timelines
• Assess and incorporate external data sources and software that could bring valuable insight for supply chain teams
• Educate business users with training/documentation and drive user adoption with a continual feedback loop
• Embed AI into workflows via Palantir’s Foundry platform to help summarize and drive signal from noise

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Analytics, Data Science, Computer Science, Industrial Engineering or related technical field
• 6+ years of experience in analytics, operations engineering, data engineering, or software engineering roles, preferably in complex hardware technology industries
• Expertise in SQL with demonstrated ability to write complex queries
• Expertise in data visualization platforms such as Tableau, Looker, Power BI, Streamlit, Dash, or Palantir Foundry
• Strong proficiency in Microsoft Excel including advanced formulas, live database connections, and VBA
• Proficient in at least one additional programming language such as Python, R, Typescript or similar, for analysis, data visualization, and automation
• Ability to relocate or be local to Costa Mesa, CA
• Ability to travel up to 10% of the time

PREFERRED QUALIFICATIONS

• Expertise in supply chain concepts such as material planning, bill of materials (BOM) management, supplier delivery and quality metrics, should cost analysis
• Experience working with ERP/MRP systems (SAP, Oracle, NetSuite, or similar) and extracting/analyzing data from these platforms
• Working knowledge of Git/GitHub for version control
• Experience with APIs and parsing JSON/XML responses into structured datasets
• Ability to take a project from ideation to an implementation that drives tangible business impact
• Continual desire to learn and use new technologies/software inside and outside of work

ABOUT THE TEAM:

The Business Systems team is responsible for building and improving the many systems that enables Anduril to accomplish its mission. Anduril’s supply chain, accounting, sales & growth, engineering, modeling & simulation, field maintenance, manufacturing, and many more teams rely on the technology built and maintained by our team. We work across the company to ensure we have the tools and capabilities necessary for mission success. 

ABOUT THE JOB:

We are looking for a Service Cloud Software Developer to join our team as we build out a robust suite of products and functionality to help our rapidly growing Growth, Business Development, Legal, Investor Relations, Deployment Operations, and other teams who all use Salesforce as their “home base”. If you are passionate about build in Salesforce and want to join the most mission-oriented and passionate group of coworkers you’ll ever meet, this job is for you!

WHAT YOU"LL DO:

• Partner with the Salesforce Service Cloud Product Manager to ensure that the Salesforce Service Cloud platform implementation is fully aligned with business objectives by maximizing the platforms capabilities and partnering with the technical architect to design and build scalable solutions.
• Design and customize Salesforce solutions on Salesforce Service Cloud (GovCloud version), ensuring they align with industry best practices and meet the organization's objectives.
• Collaborate with developers to implement custom solutions when necessary, ensuring scalability and maintainability as needed between Service Cloud and GovCloud CRM.
• Develop and maintain technical documentation, including system architecture, configurations, and customizations.
• Automate business processes using Salesforce automation tools such as Formulas, Flow Builder, Assignment Rules, Validation Rules, Approval Processes, Email and Slack alerts.
• Build integrations between Salesforce and external applications using REST, SOAP APIs, oAuth, SSO.
• Partner with internal integration teams as required when Salesforce needs to consume or push data to other internal downstream platforms (i.e.; ERP, CRM, CLM)
• Migrate changes from development/testing environments to production and conduct required smoke testing as needed.
• Provide support to end-users, fostering a culture of self-sufficiency and user adoption.
• Adhere to defined coding standards, maintain code documentation and develop well-structured, maintainable/scalable and easy to understand code.
• Determine when Apex code is needed to meet a capability end goal, always striving to seek out low code/no code options when realistic.
• Perform data updates / migration using Data Loader as needed.
• Interface with the Salesforce data backup and recovery tool as needed.
• Stay current with new Salesforce technologies, platform enhancements, releases, industry trends, implement best practices and engaging in regular Salesforce release readiness activities.

QUALIFICATIONS:

• 6 - 8 years of total IT experience with at least 5+ years of Salesforce platform development experience
• Bachelor’s degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience.
• Strong Salesforce customization and configuration experience, preferably in Sales Cloud. Experience in Government Cloud a preferred.
• Hands on development experience using Salesforce configuration and customizations including Apex, Triggers, Scheduled and Batch classes, Formulas, Flow, Approval Processes, Validation and Assignment Rules etc.
• Development experience in UI technologies like Bootstrap, Lightening Design System (LDS), Lightening Components Development, jQuery, JavaScript, HTML/CSS
• Strong foundation in Object-Oriented Programming (OOP) principles.
• Proven experience with CI/CD version control systems, including GitHub
• Experience with FFLIB (Apex Common Framework).
• Strong debugging and performance optimization skills in Salesforce environments.
• Proven integration experience using integration techniques - REST, SOAP APIs, oAuth and SSO
• Experienced in Standard/Custom Object creation and relationships
• Excellent analytical and problem-solving skills with keen attention to detail.
• Knowledge of software development lifecycle and DevOps tools (i.e.; JIRA, Salesforce DX, Salesforce CLI, etc.)
• A thorough understanding of Continuous Integration/Continuous Delivery/Deployment and tools such as GitHub actions.
• Proven ability to assess the impact of new requirements on SFDC and all upstream and downstream applications, flows and processes.
• Strong communication and interpersonal skills to effectively collaborate with diverse teams - including stakeholders and end users.
• Must be eligible to obtain and maintain a U.S. TS clearance

PREFERRED QUALIFICATIONS: 

• Strong preference for Salesforce developer certifications - Certified Platform Developer I, and Certified Platform Developer II.
• Experience, or familiarity, with Agentforce
• Strong Salesforce customization and configuration experience in Service Cloud
• Aerospace and Defense industry experience 
• AWS experience 
• Bonus points for experience with Communities/Experience Cloud, CRMA tools and methodologies (CRM Analytics - formerly known as Tableau CRM, Einstein Analytics).

ABOUT THE JOB:

We are looking for a Salesforce Software Developer to join our team as we build out a robust suite of products and functionality to help our rapidly growing Growth, Business Development, Legal, Investor Relations, Deployment Operations, and other teams who all use Salesforce as their “home base”. If you are passionate about build in Salesforce and want to join the most mission-oriented and passionate group of coworkers you’ll ever meet, this job is for you!

WHAT YOU'LL DO:

• Partner with the Salesforce Product Manager to ensure that the Salesforce GovCloud platform is fully aligned with business objectives by maximizing the platforms capabilities and architecting scalable solutions.
• Design and customize Salesforce solutions on Salesforce Government Cloud Plus, ensuring they align with industry best practices and meet the organization's objectives.
• Support CRMA and configure new analytics dashboards, manage and create data recipes as needed.
• Collaborate with developers to implement custom solutions when necessary, ensuring scalability and maintainability.
• Develop and maintain technical documentation, including system architecture, configurations, and customizations.
• Automate business processes using Salesforce automation tools such as LWC, flexi page, Formulas, Flow, Assignment Rules, Validation Rules, Approval Processes, Email and Slack alerts.
• Build integrations between Salesforce and external applications using REST, SOAP APIs, oAuth, SSO.
• Partner with internal integration teams as needed when Salesforce needs to consume or push data to other internal platforms (i.e.; ERP)
• Migrate changes from development/testing environments to production and conduct required smoke testing as needed.
• Provide support to end-users, fostering a culture of self-sufficiency and user adoption.
• Adhere to defined coding standards, maintain code documentation and develop well-structured, maintainable/scalable and easy to understand code.
• Determine when Apex code is needed to meet a capability end goal, always striving to seek out low code/no code options when realistic.
• Perform data updates / migration using Data Loader as needed.
• Interface with the Salesforce data backup and recovery tool as needed.
• Stay current with new Salesforce technologies, platform enhancements, releases, industry trends, implement best practices and engaging in regular Salesforce release readiness activities.

REQUIRED QUALIFICATIONS:

• 5 - 7 years of total IT experience with at least 4+ years of Salesforce platform development experience
• Bachelor’s degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience.
• Strong Salesforce customization and configuration experience, preferably in Sales Cloud. Experience in Government Cloud a preferred.
• Hands on development experience using Salesforce configuration and customizations including Apex, Triggers, Scheduled and Batch classes, Formulas, Flow, Approval Processes, Validation and Assignment Rules etc.
• Development experience in UI technologies like Bootstrap, Lightening Design System (LDS), Lightening Components Development, jQuery, JavaScript, HTML/CSS
• Strong foundation in Object-Oriented Programming (OOP) principles.
• Proven experience with CI/CD version control systems, including GitHub
• Experience with FFLIB (Apex Common Framework).
• Strong debugging and performance optimization skills in Salesforce environments.
• Proven integration experience using integration techniques - REST, SOAP APIs, oAuth and SSO
• Experienced in Standard/Custom Object creation and relationships
• Excellent analytical and problem-solving skills with keen attention to detail.
• Knowledge of software development lifecycle and DevOps tools (i.e.; JIRA, Salesforce DX, Salesforce CLI, etc.)
• A thorough understanding of Continuous Integration/Continuous Delivery/Deployment and tools such as GitHub actions.
• Proven ability to assess the impact of new requirements on SFDC and all upstream and downstream applications, flows and processes.
• Strong communication and interpersonal skills to effectively collaborate with diverse teams - including stakeholders and end users.
• Exceptional organizational and communication skills (both written and oral).
• Strong preference for Salesforce developer certifications - Certified Platform Developer I, and Certified Platform Developer II.
• Experience, or familiarity, with Agentforce is a plus.
• Strong Salesforce customization and configuration experience in Service Cloud, major plus.
• Aerospace and Defense industry experience is a major plus.
• AWS experience is a major plus.
• Bonus points for experience with Communities/Experience Cloud, CRMA tools and methodologies (CRM Analytics - formerly known as Tableau CRM, Einstein Analytics).

ABOUT THE TEAM

The Supply Chain Analytics team is responsible for deeply understanding our internal supply chain data sources and transforming this data into: ad hoc reporting, dashboards, web applications, and automated workflows. The team partners with all of Anduril's supply chain (Procurement, Strategic Sourcing, Materials Management, etc.) and is tasked with equipping these teams with tools to deepen their visibility and accelerate processes.

ABOUT THE JOB

As a Supply Chain Analytics Engineer, you will work with our business-wide Analytics Engineering team to ensure their SQL data pipelines are modeled correctly for supply chain reporting. You will use Palantir’s Foundry platform as your central resource for conducting ad-hoc analysis for supply chain teams, as well as producing dashboards and automated workflows that write back to our database via Python/Typescript actions. You will gain a deep understanding of the different supply chain domains, and craft tools that drive insights and workflows that enable real cost and time savings business impacts. You are onboard with the goal of building out a world-class business analytics layer with truly novel solutions to supply chain problems.

WHAT YOU'LL DO

• Use SQL to transform raw ERP data extractions into structured datasets within a centralized GitHub repository
• Use Palantir’s Foundry platform to generate dashboards and automated workflows backed by Python/Typescript code repositories
• Work with supply chain teams to define key performance metrics and implement systems for tracking over time
• Eliminate repetitious processes with programmatic automation in Python
• Manage cross-functional projects with clear and concise communication on timelines
• Assess and incorporate external data sources and software that could bring valuable insight for supply chain teams
• Educate business users with training/documentation and drive user adoption with a continual feedback loop
• Embed AI into workflows via Palantir’s Foundry platform to help summarize and drive signal from noise

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Analytics, Data Science, Computer Science, Industrial Engineering or related technical field
• 2+ years of experience in analytics, operations engineering, data engineering, or software engineering roles, preferably in complex hardware technology industries
• Expertise in SQL with demonstrated ability to write complex queries
• Expertise in data visualization platforms such as Tableau, Looker, Power BI, Streamlit, Dash, or Palantir Foundry
• Strong proficiency in Microsoft Excel including advanced formulas, live database connections, and VBA
• Proficient in at least one additional programming language such as Python, R, Typescript or similar, for analysis, data visualization, and automation
• Ability to relocate or be local to Costa Mesa, CA
• Ability to travel up to 10% of the time

PREFERRED QUALIFICATIONS

• Expertise in supply chain concepts such as material planning, bill of materials (BOM) management, supplier delivery and quality metrics, should cost analysis
• Experience working with ERP/MRP systems (SAP, Oracle, NetSuite, or similar) and extracting/analyzing data from these platforms
• Working knowledge of Git/GitHub for version control
• Experience with APIs and parsing JSON/XML responses into structured datasets
• Ability to take a project from ideation to an implementation that drives tangible business impact
• Continual desire to learn and use new technologies/software inside and outside of work

ABOUT THE TEAM

The Maneuver Dominance (MD) Team at Anduril aggressively develops aerial robotic systems designed to operate in large coordinated teams. We leverage and capitalize on existing Anduril platforms, bring in 3rd party platforms into Anduril’s Lattice ecosystem, and develop new systems as appropriate. We develop breakthrough perception and autonomy algorithms to solve the hardest problems facing our customers. We are seeking an experienced international trade compliance leader with strategic vision to help build a best-in-class trade compliance program supporting MD.

ABOUT THE JOB

We are looking for a International Trade Compliance Director to join our forward-thinking team in Costa Mesa, CA. In this role, you will be responsible for driving international trade strategy, initiatives, and policies to thoughtfully guide the development of commercial dual-use technology across the globe. The role will be a key interface between engineering, program management, compliance, and senior leadership to ensure that product teams are in line with engineering goals and compliance frameworks. This person will be responsible for designing and managing controls plans for MD’s commercial dual-use platforms across the globe and ensuring compliance for U.S. and global export control regulations. You will provide strategic guidance and regulatory expertise, shaping and achieving positive outcomes for MD positions on jurisdiction and classification (J/C) determinations and export compliance in accordance with company policy.

WHAT YOU’LL DO

• Embed with program staff to develop and maintain tight program controls for commercial dual-use and export controlled technology for civil and defense customers
• Partner with senior leadership to shape strategic direction and turn trade compliance planning into action. Make key decisions that drive operational success, and help translate high-level trade compliance goals into clear priorities for the organization.
• Play a critical role in developing trade compliance policies and be responsible for outcomes that balance compliance and business priorities.
• Design and implement trade compliance policies, protections, and infrastructure to ensure engineering/ program development meets schedule objectives
• Coordinate with external partners (e.g., commercial suppliers, US Government, foreign private or Government agencies) to ensure product roadmaps align with internal compliance posture and pivot accordingly
• Drive consistent export classification processes across MD global operations
• Develop classification decision rationale, heuristics and methodology for MD programs to improve efficiency in classification while maintaining accuracy
• Leverage AI for rapid risk-mitigated determinations
• Deploy and maintain J/C training curricula and robust methodologies to meet cost and performance metrics
• Oversee MD export authorizations, ensuring compliance with license scope, provisos and associated conditions
• Support the logistics team on hardware exports and controlled imports
• Provide guidance and training to MD staff on ITAR, EAR and international regulations
• Perform compliance assessments of export/import authorizations and related transactions and assist in any investigations of potential compliance issues
• Lead working groups, independent projects, and collaborative efforts with within the compliance function or cross-functionally driving ITC program enhancements
• Support and implement corrective actions that result from compliance issues
• Develop strategy for multi-jurisdictional cross collaborative environments for data repositories (e.g. GitHub)
• Navigate co-production and co-development projects across multiple countries, ensuring compliance with US export regulations and international trade laws

REQUIRED QUALIFICATIONS

• Ability to travel up to 25%
• Understanding of engineering concepts across software and hardware and development principles to be able to craft policies and procedures to segregate commercial and export controlled technology development
• 15+ Years’ experience managing and providing subject matter-level expertise navigating and providing strategic advice concerning international trade regulations (e.g., Australia, EU, U.S. and UK).
• 10+ years experience in product development, defense technology, startups, defense contracting or similar
• 5+ years experience in trade compliance, international trade controls, international contracts management
• Eligibility to obtain and maintain a U.S. Top Secret clearance
• Must be a U.S. Person due to required access to U.S. export controlled information or facilities
• A superpower for smashing through regulatory roadblocks

PREFERRED QUALIFICATIONS

• Experience in group 3-5 UAS or robotic systems product development or concepts
• Extensive experience with US DoD contracts and foreign defense contract
• Experience in managing development infrastructure and training technical teams
• Experience designing and implementing technology control plans
• Eligibility to obtain and maintain a U.S. Top Secret clearance
• An understanding of the distinctive's and intersection of Lean Product and Process Development, Agile Software Development, and Lean Production
• Knowledge of exportability considerations and experience incorporating export control compliance into product development plans
• Familiarity with ATF import regulations and the ability to classify products accordingly
• Understanding of Missile Technology Control Regime (MTCR) guidelines and U.S UAS Policy

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 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

We are looking for a highly motivated and versatile Senior Platform Engineer to join our platform engineering team. This unique role is central to accelerating our product development lifecycle and operational efficiency. You will be instrumental in bridging the gap between development, infrastructure, and our burgeoning AI/ML initiatives, focusing on automation, self-service infrastructure, and workflow optimization. This position is ideal for an experienced engineer who thrives on creating leverage for others and tackling complex, interdisciplinary challenges.

Key Responsibilities:

CI/CD and Automation

• Design, implement, and maintain scalable and reliable CI/CD pipelines (e.g., using GitLab CI, GitHub Actions, Jenkins, Spinnaker) to ensure rapid and safe deployments across multiple environments.
• Drive the adoption of best practices for build management, testing automation, and deployment strategies (Canary, Blue/Green, etc.).
• Minimize deployment friction and cycle time for all engineering teams.

Self-Service Infrastructure & Provisioning

• Develop and champion self-service tooling and internal platforms (leveraging tools like Terraform, Ansible, Kubernetes, or equivalent cloud provider APIs) that empower development teams to provision and manage their own infrastructure resources securely and efficiently.
• Establish guardrails and policy-as-code to ensure compliance, cost efficiency, and security across all provisioned infrastructure.

AI Infrastructure Enhancement & Support

• Collaborate closely with AI/ML Engineers to improve the underlying platform used for model training, experimentation, and serving.
• Focus on the operationalization of MLOps pipelines, including data lineage tracking, feature store integration, and production model deployment automation.
• Assist in optimizing resource allocation (e.g., GPU usage, specialized hardware) for AI workloads.

Workflow Automation & Internal Tooling

• Architect and build automated workflows and bots, primarily within communication tools like Slack or Zoom, to streamline common engineering tasks (e.g., on-call handoffs, incident response, environment status checks, approval processes).
• Develop internal APIs and services that connect disparate engineering systems to enhance communication and cross-functional transparency.

Required Qualifications

• 5+ years of professional experience in Platform Engineering, DevOps, Site Reliability Engineering (SRE), or a related discipline.
• Deep expertise in cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools (Terraform strongly preferred).
• Expertise in containerization and orchestration technologies (Docker and Kubernetes).
• Proficiency in scripting and general-purpose programming languages (e.g., Python, Go, Bash).
• Extensive experience designing and managing CI/CD systems at scale.
• Proven track record of building internal developer platforms or self-service tools.

Preferred Qualifications

• Experience with AI/ML infrastructure, MLOps tooling, or data pipeline technologies (e.g., Airflow, Kubeflow, Vertex AI, SageMaker).
• Prior experience building conversational interfaces, bots, or workflow automation tools for platforms like Slack or Teams.
• Familiarity with distributed tracing, logging, and monitoring systems (e.g., Prometheus, Grafana, ELK stack, Datadog).
• Experience with security best practices in a cloud environment (IAM, network security, secrets management).

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $144,000 - $175,000. 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.

As a Software Engineer, Automation & Developer Tools at Everlaw, you will be a key architect of our quality culture, helping to shape automated testing at legal technology’s fastest-growing SaaS company. You will be responsible for maintaining and improving our CI/CD pipelines, facilitating advanced automation techniques, and serving as a technical mentor for our QA team. We are looking for a proactive engineer who is not just a practitioner of automation, but a visionary—someone always on the lookout for new approaches to ensure our platform remains robust as we pursue our mission to promote justice by illuminating truth.

In this Senior Software Engineer role, you will sit within our Engineering department, acting as a vital bridge between Development and QA. Other engineers become your "users"; building the tooling, templates, and documentation that allow teams to implement and improve automation seamlessly will have a multiplicative impact. By participating in the Testing Guild and conducting thoughtful code reviews, you will ensure that our automation standards remain high and our release cycles stay efficient and reliable.

Skills you are expected to possess:

• Expertise in at least one major programming language: Java, Python, Javascript, C++
• Fluency with Data Structures and Algorithms
• Experienced with usage of design patterns and coding best practices
• Designed, built, maintained, tested, and launched cloud-based software
• Led multi-developer efforts, including planning, technical breakdown, and coordination
• Mentored other engineers and consulted on issues within areas of expertise

Getting started

• We want you to feel like part of the team early on! Our onboarding process will integrate you into the company with informative sessions on our product, policies, processes, and team structure and goals. [And you’ll spend meaningful time getting to know your direct reports and discover what excites and challenges them.]
• We’re excited for you to learn, grow, and contribute right away! We trust that you’ll bring experience and knowledge that will uplift and uplevel the team, but we don’t expect you to know everything on Day 1.

In your role, you'll...

• Refine and evolve testing infrastructure and tooling that enables engineers to ship high-quality features at scale
• Design, implement, and maintain automated testing systems using tools such as GitHub Actions, CircleCI and Cypress.
• Create internal tools that improve developer productivity and shorten iteration cycles
• Partner closely with DevOps to optimize test execution and reliability within CI/CD pipelines
• Drive best practices in testing, observability, and release confidence across the engineering org
• Research and implement new automation approaches -  including the use of AI -  to stay ahead of industry trends and keep our testing infrastructure cutting-edge.
• Collaborate with developers to interpret code coverage results and identify strategic areas for new test investment.
• Mentor QA Engineers on all topics related to automation, helping them troubleshoot technical blockers and uplevel their scripting skills.

About you

• You have a BS or MS in Computer Science, or equivalent coursework.
• You have at least 5 years of experience working deeply with Cypress for web application automation.
• You have demonstrated expertise in using CI/CD tools such as GitHub Actions, CircleCI or GitLab to create and manage workflows.
• You are experienced in API testing and understand how to validate data across different layers of an application.
• You have a mentorship mindset and enjoy helping others grow their technical capabilities with Cypress and other automation techniques.
• You are a proactive problem-solver who can navigate Linux-based systems and troubleshoot complex automation hurdles.
• You are authorized to work in the United States without restrictions. Please note that at this time, Everlaw is not sponsoring employment visas for this role.

Benefits

• The expected salary range for this role is between $131,000 and $191,000. The final offered salary will be dependent upon many factors including the candidate’s experience and skills. The base pay range is subject to change in the future.
• Equity program
• 401(k) retirement plan with company matching
• Health, dental, and vision insurance
• Flexible Spending Accounts for health and dependent care expenses
• Paid parental leave and approximately 10 days (80 hours) per year of sick leave
• Seventeen paid vacation days plus 11 federal holidays
• Membership to Modern Health to help employees prioritize mental health and wellness
• Annual allocation for Learning & Development opportunities and applicable professional membership dues
• Company-sponsored life and disability insurance

Perks

• Work in Uptown Oakland, just steps from the BART line and dozens of restaurants and walking distance to Lake Merritt
• Flexible work-from-home days on Tuesdays and Fridays
• Monthly home internet reimbursement
• Select your preference of hardware (Mac or PC) and customize your desk setup
• Enjoy a wide variety of snacks and beverages in the office
• Bond over company-wide out-of-the-box events and fun activities with your team
• Time off for company-sponsored volunteer events and 4 paid hours per quarter to volunteer at a charitable organization of your choice
• Take advantage of learning and career development opportunities 
• Ranked #9 on Glassdoor's Best Places to Work 2023 for US small and medium companies
• One of Wealthfront’s 2021 Career Launching Companies, and ranked #2 on the “2022 Bay Area Best Places to Work” list by the San Francisco Business Times and the Silicon Valley Business Journal
• One of Fast Company’s World's Most Innovative Companies for 2022 and proud contributor of free ediscovery resources to benefit the greater good through “Everlaw for Good”
• #LI-MN2
• #LI-Hybrid

About the Role

We are seeking an experienced Senior Engineering Manager, Apple Core to lead the development and maintenance of the shared systems, tools, and pipelines that power our iOS, tvOS, and visionOS applications. This role is pivotal in driving the technical vision, roadmap, and operational excellence of our Apple platform infrastructure. You will lead an accomplished group of engineers focused on scalability, reliability, performance, and developer efficiency — enabling our feature teams to deliver best-in-class experiences to millions of users.

As the Senior Engineering Manager, Apple Core, you will mentor, inspire, and grow the team while ensuring we deliver robust, high-quality infrastructure that supports business goals and technical standards. You will have ownership over platform-wide systems, CI/CD pipelines, monitoring and alerting solutions, and developer tooling. You will be a key contributor to strategic technical decisions and will partner closely with engineering leadership to shape the future of our Apple ecosystem.

This is a hybrid position and we are considering applicants for the location(s) of Los Angeles, CA or San Francisco, CA. You will report to the Director of Engineering, Apple and Android Platforms.

Responsibilities

• Run the day-to-day operations of the infrastructure engineering team and manage agile ceremonies such as grooming, sprint planning, daily stand-ups, and retrospectives.
• Lead and mentor a team of engineers to adopt and maintain best practices, platform architecture standards, and scalable infrastructure solutions, fostering a collaborative work environment.
• Define and execute the roadmap for shared Apple platform infrastructure, ensuring alignment with business objectives and the needs of dependent feature teams.
• Work closely with stakeholders and cross-functional teams to gather requirements, prioritize improvements, and communicate project progress and operational updates.
• Manage project timelines, resource allocation, and budgeting to ensure delivery of infrastructure initiatives.
• Implement and maintain CI/CD pipelines, automated testing frameworks, and performance monitoring solutions to optimize development velocity and product stability.
• Drive operational excellence by managing system incidents, performing root cause analyses, and implementing long-term preventative measures.
• Monitor system performance, identify bottlenecks, and lead performance optimization efforts across the Apple platform stack.
• Conduct regular one-to-one meetings with team members to provide feedback, support career development, and maintain high team morale and productivity.
• Lead hiring and onboarding efforts to attract top infrastructure talent and expand the team's capabilities.

Key Qualifications

• Proven experience managing infrastructure or platform engineering teams, preferably in the Apple ecosystem (iOS, tvOS, visionOS).
• Strong technical background in CI/CD tooling (e.g., Jenkins, GitHub Actions, Bitrise, CircleCI) and automation best practices.
• Hands-on experience with build systems, dependency management, and artifact distribution for Apple platforms (e.g., Xcode Cloud, Fastlane, xcframeworks).
• Proficiency with monitoring and observability tools (e.g., Datadog, New Relic, Grafana, Prometheus) and alerting best practices.
• Deep understanding of performance profiling, crash reporting, and optimization strategies for Apple applications.
• Strong incident management skills, including root cause analysis and postmortem facilitation.
• A track record of mentoring and developing engineering talent.
• Exceptional communication skills for collaborating with technical and non-technical stakeholders.
• Familiarity with modern agile practices and a track record of delivering infrastructure initiatives on time and within budget.

Why you will love working at Crunchyroll

In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:

#LifeAtCrunchyroll #LI-Hybrid

Flex is looking for a Staff level Engineer to join our dynamic team and play a pivotal role in accelerating our growth trajectory. In this role, you will be instrumental in developing and scaling the platform and app experiences that empower our users and partners, unlocking our next phase of 10x growth.

What You'll Do:

• Focus on creating exceptional user and partner experiences that drive engagement and retention.
• Partner closely with product managers, designers, and data scientists, data analysts to identify and solve critical user onboarding challenges.
• Design, develop, test, and deploy robust APIs, services and data pipelines that enhance user onboarding and overall platform experience.
• Implement changes through an agile methodology, prioritizing rapid iteration and continuous improvement.
• Utilize data and analytics to measure the impact of your work and identify opportunities for optimization.

Qualifications

Minimum Qualifications

• 7+ years of professional software development experience.
• 3+ years of hands-on experience with Java.
• 3+ years of experience with React or React Native.
• 3+ years of experience with TypeScript.
• Having experience building high-quality mobile and web UIs to specifications is a must to have.
• Proficient in Java frameworks and tools used at Flex, including Spring (core/web/boot), Gradle, JUnit, and JVM (memory/performance tuning, GC).
• Experience with Service-Oriented Architecture, REST APIs, Message Queues, and scalable architectures.
• Experience with architectures and tools in React Native and React ecosystems (Hooks, Components, Context, Redux).
• Experience with AWS (EKS, Aurora RDS, Elasticache, DynamoDB) and containerization tools.

Preferred Qualifications

• Have the experience to build and improve user onboarding funnel and design the comprehensive experiment to drive metric improvements.
• Proficient in CI/CD systems (preferably GitHub Actions), git, and automation.
• Skilled in observability and monitoring tools, such as DataDog, to ensure high availability.
• Experienced with big data platforms and tooling, including Snowflake.
• Proficient in Infrastructure as Code, using tools like CDK and Terraform.
• Skilled at elevating team standards through best practices, and mentoring junior engineers.
• Excellent written and verbal communicator, with experience in cross-functional collaboration.

• Tier A (NYC/SF/Seattle): $200,000—$250,000 USD
• Tier B: $180,000—$225,000 USD
• Tier C: $170,000—$212,000 USD

About the role

Flex is looking for a Senior Software Engineer to join our Risk Engineering team. This role involves spearheading the implementation of platforms and APIs crucial for supporting business features within the risk management domain.

The Risk Engineering team is dedicated to mitigating both credit risk, fraud risk, and risk for launching new products. Our mission is to enhance Flex app accessibility for customers while safeguarding against improper use and unauthorized access by identifying and preventing misuse across all core product areas.

Following are some projects/systems in Risk Platform you will have opportunities to work with:

• Core decision platform which is an end-to-end solution for the enterprise decision management lifecycle, including business rule management, analytics, process management, and ML/AI.
• Event data stream ingestion which supports near real-time fraud rules setup. 
• Advanced a/b testing and experimentation capabilities for our customers so they can leverage greedy algorithms and fight fraud. 

What You'll Do:

• Build decision platform / machine learning solutions to respond to/mitigate business risks in Flex.
• Design and develop 24/7 high-scale APIs and distributed systems. The tech stack will be on AWS. Java would be the language for the existing code base. Java Spring Boot will be the framework. 
• Work closely with product, design, and engineering peers to launch new features across our web and mobile platforms 

Qualifications

Minimum Qualifications

• Must-have: Experience working in a risk engineering team, specializing in rules engine architecture or risk/credit/fraud systems.
• 6+ years of professional software development experience.
• 5+ years of hands-on experience with Java.
• 2+ years of experience with React or React Native.
• 2+ years of experience with TypeScript.
• Having experience building high-quality mobile and web UIs to specifications is a must to have.
• Proficient in Java frameworks and tools used at Flex, including Spring (core/web/boot), Gradle, JUnit, and JVM (memory/performance tuning, GC).
• Experience with Service-Oriented Architecture, REST APIs, Message Queues, and scalable architectures.
• Experience with architectures and tools in React Native and React ecosystems (Hooks, Components, Context, Redux).
• Experience with AWS (EKS, Aurora RDS, Elasticache, DynamoDB) and containerization tools.

Preferred Qualifications

• Proficient in CI/CD systems (preferably GitHub Actions), git, and automation.
• Skilled in observability and monitoring tools, such as DataDog, to ensure high availability.
• Experienced with big data platforms and tooling, including Snowflake.
• Proficient in Infrastructure as Code, using tools like CDK and Terraform.
• Skilled at elevating team standards through best practices, and mentoring junior engineers.
• Excellent written and verbal communicator, with experience in cross-functional collabo

• Tier A (NYC/SF/Seattle): $172,000—$210,000 USD
• Tier B: $154,000—$190,000 USD
• Tier C: $146,000—$180,000 USD

Flex is looking for an Engineer to join our dynamic team and play a pivotal role in accelerating our growth trajectory. In this role, you will be instrumental in developing and scaling the platform and app experiences that empower our users and partners, unlocking our next phase of 10x growth.

What You'll Do:

• Focus on creating exceptional user and partner experiences that drive engagement and retention.
• Partner closely with product managers, designers, and data scientists, data analysts to identify and solve critical user onboarding challenges.
• Design, develop, test, and deploy robust APIs, services and data pipelines that enhance user onboarding and overall platform experience.
• Implement changes through an agile methodology, prioritizing rapid iteration and continuous improvement.
• Utilize data and analytics to measure the impact of your work and identify opportunities for optimization.

Qualifications

Minimum Qualifications

• 5+ years of professional software development experience.
• 3+ years of hands-on experience with Java.
• 3+ years of experience with React or React Native.
• 3+ years of experience with TypeScript.
• Having experience building high-quality mobile and web UIs to specifications is a must to have.
• Proficient in Java frameworks and tools used at Flex, including Spring (core/web/boot), Gradle, JUnit, and JVM (memory/performance tuning, GC).
• Experience with Service-Oriented Architecture, REST APIs, Message Queues, and scalable architectures.
• Experience with architectures and tools in React Native and React ecosystems (Hooks, Components, Context, Redux).
• Experience with AWS (EKS, Aurora RDS, Elasticache, DynamoDB) and containerization tools.

Preferred Qualifications

• Have the experience to build and improve user onboarding funnel and design the comprehensive experiment to drive metric improvements.
• Proficient in CI/CD systems (preferably GitHub Actions), git, and automation.
• Skilled in observability and monitoring tools, such as DataDog, to ensure high availability.
• Experienced with big data platforms and tooling, including Snowflake.
• Proficient in Infrastructure as Code, using tools like CDK and Terraform.
• Skilled at elevating team standards through best practices, and mentoring junior engineers.
• Excellent written and verbal communicator, with experience in cross-functional collaboration.

• Tier A (NYC/SF/Seattle): $172,000—$210,000 USD
• Tier B: $154,000—$190,000 USD
• Tier C: $146,000—$180,000 USD

PsiQuantum’s mission is to build the first useful quantum computers—machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems. 

Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries. 

Our architecture and approach is based on silicon photonics. By leveraging the advanced semiconductor manufacturing industry—including partners like GlobalFoundries—we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photons don’t feel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure. 

In 2024, PsiQuantum announced government-funded projects to support the build-out of our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives reflect a growing recognition that quantum computing will be strategically and economically defining—and that now is the time to scale. 

PsiQuantum also develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies—including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical—to prepare quantum solutions for real-world impact. 

Quantum computing is not an extension of classical computing. It represents a fundamental shift—and a path to mastering challenges that cannot be solved any other way. The potential is enormous, and we have a clear path to make it real. 

Come join us. 

Team Overview 

PsiQuantum's Applications Software Engineering Team builds tools for quantum algorithm developers: cloud development environments, circuit design tools, and resource estimation systems that help researchers write, simulate, and optimize quantum algorithms for the world's first utility-scale, fault-tolerant quantum computer. 

We're hiring a platform engineer who bridges software infrastructure with GPU-accelerated computing, someone who can improve our AWS platform while helping researchers run quantum simulations efficiently on GPU clusters.  

Role Overview 

We're looking for someone to partner with our existing platform engineer, splitting responsibilities across a growing platform and making it easier for quantum researchers to do their best work. 

That platform includes AWS infrastructure, Terraform configs, CI/CD workflows, and the GPU clusters our researchers depend on for large-scale, computationally intensive quantum simulations. There's a real opportunity to shape how all of it evolves. 

The right person for this role is comfortable making judgment calls under uncertainty; they will have a lot of latitude, and accountability to match. 

Responsibilities:

How You’ll Spend Your Time 

Platform Engineering (70%)  

• Own our AWS infrastructure end-to-end and actively shape how it evolves; building, not just maintaining.
• Reduce friction in the deployment pipeline so developers can ship without infrastructure blockers.
• Harden systems with intention: lock down IAM roles, container images, and authentication flows in ways that reflect a clear understanding of where the real risks are.
• Implement monitoring and alerting that catches production issues before users notice them.
• Make deployments faster to roll out, easier to roll back, and less prone to failure.
• Lead incident response and post-mortems when necessary.

GPU/HPC Bridge Work (30%) 

• Make GPU clusters and other infrastructure invisible to the researchers running it.
• Own CUDA compatibility and driver versions across heterogeneous GPU clusters.
• Build standardized SLURM job submission workflows that researchers can use without help.
• Package and containerize Python simulation code for reproducible execution.
• Monitor job health across utilization, cost, and runtime efficiency.

Experience/Qualifications:

Required Qualifications 

• Experience: 5+ years in Platform Engineering, DevOps, or SRE roles.
• Production AWS experience: Built and maintained systems on ECS/EKS, managed multi-account networking (VPCs, security groups), and dealt with real-world infrastructure complexity.
• Infrastructure as Code: You've written and maintained Terraform (or Pulumi/CDK) in production, including applying ongoing changes as requirements evolved.
• CI/CD: Improved build pipelines in production (reduced build times, increased reliability, made deployments easier to debug), including experience with GitLab CI, GitHub Actions, or equivalent.
• GPU/HPC experience: Supported GPU workloads in production environments, including code optimization, CUDA debugging, and job scheduler setup.

Preferred Qualifications 

• Background in scientific computing, research infrastructure, ML platforms, or early-stage startups (especially research computing vendors).
• Security & compliance experience: You've implemented auth systems (Auth0/Okta), managed encryption (KMS), or worked on FedRAMP/compliance-driven infrastructure. FedRAMP experience is a strong plus.
• Exposure to quantum computing SDKs (Qiskit, Cirq, PennyLane) or hybrid classical-quantum workflows is a plus, but not required; genuine interest in quantum computing matters more than prior exposure.

What We’re Not Looking For 

• Candidates focused on enterprise-scale batch computing rather than cloud-native platform engineering.
• Platform engineers without exposure to GPU workloads or HPC concepts.
• Candidates who prioritize architectural purity over iterative delivery.

PsiQuantum provides equal employment opportunity for all applicants and employees. PsiQuantum does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws.

Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to recruiting@psiquantum.com.

We are not accepting unsolicited resumes from employment agencies.

What you’ll do:

• Architect and lead the team managing Archer’s lab integration environments supporting validation and verification activities, handling quality evaluations, human factor evaluations and test pilot training.
• Collaborate cross-functionally with internal groups and suppliers to integrate, instrument and maintain configuration of simulation models in a real-time, integrated hardware-in-the-loop environments .
• Own end-to-end configuration of simulation environments (e.g., SIL, HIL, CeRT, Iron Bird), including data analysis and simulation correlation with flight test data.
• Develop and optimize simulation pipelines including CI/CD integration for automated deployment, execution, and monitoring.
• Integrate third-party software/hardware systems into cohesive simulation architectures.
• Set technical standards, provide mentorship, and foster a collaborative and high-performance engineering culture.
• Guide the design and build of graphical user interfaces to control the real-time simulation environment.
• Lead task decomposition, technical planning, and debugging of complex issues across real-time and distributed systems.
• Influence tool architecture in support of lab configuration and automation

What you need:

• 9+ years of experience in simulation software development and systems integration.
• Bachelor's or higher degree in Aerospace, Software, Electrical Engineering, Computer Science, or a related field.
• Seasoned technical lead for an engineering team; providing guidance in planning and execution.
• Advanced proficiency in C/C++ and Python.
• Very experienced  in MATLAB/Simulink.
• Extensive experience developing real-time HIL test infrastructures.
• Proven ability to develop simulation tools with a focus on usability, modularity, and performance.
• Expert of communication standards and protocols (RS-422/485, CAN/CAN-FD, ARINC-429, Ethernet, TCP/IP, USB etc…)
• Experience prototyping Graphical User Interfaces based on user feedback.

• Knowledgeable with software engineering practices including CI/CD (GitHub Actions, Jenkins), test-driven development, and agile methodologies.
• Strong problem-solving and debugging skills with a proactive, solutions-oriented mindset.
• Comfortable working in cross-disciplinary teams and mentoring junior engineers.
• Comfortable leading Agile/SCRUM methodologies and tools throughout the organization
• Familiarity with Tool Qualification Levels TQL

Preferred Qualifications

• Experience with aerospace, spacecraft, or robotics systems—including modeling of flight dynamics, sensor-actuator loops, or avionics.
• Proficiency in the NI software suite (LabVIEW, VeriStand).
• Experience developing and troubleshooting custom code (i.e. plugins, logical devices, custom devices) for real-time OS
• Background in simulation infrastructure for VTOL, rotorcraft, or autonomous vehicles.
• Understanding of control theory, GNC algorithms, and physics-based modeling.
• Hands-on experience with HIL/SIL test rigs, hardware communication protocols, and test instrumentation.
• Exposure to regulatory frameworks (FAA, DoD, NASA) and test certification environments.
• Startup or fast-paced development experience is a plus.
• Experience automating and executing test plans.
•  Experience with DO-178 and other aviation standards  
• Familiarity with fault injection methodologies.
• Familiarity with lab equipment such as oscilloscopes, logic analyzers and protocol analyzers.

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $170,000 - $215,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

We are looking for a Senior Software Engineer to join our world-class engineering team. In this role, you will help design and develop cloud-based services and modern web applications that power the next generation of Heartflow technologies, including a new orchestration pipeline, which will drive critical workflows across the company.

You will work cross-functionally with Software Engineers, Product Managers, Quality Assurance, Usability Designers, Process Engineers, and Regulatory to create impactful internal applications and infrastructure. This role offers the opportunity to contribute meaningfully to the design, scalability, and performance of our platforms, while ensuring regulatory compliance in a fast-paced, innovative environment.

Key Responsibilities

• Lead end-to-end feature development across the full technology stack
• Independent, end-to-end ownership of the design, development, testing, and maintenance of robust APIs (Python, AWS), interactive web applications (Django backend and Vue.js frontend), pipeline orchestrations, and associated infrastructure.
• Contribute to the long-term technical roadmap by providing architectural feedback that ensures current systems remain compatible with future orchestration goals.
• Mentor junior engineers and contribute to the technical excellence of our team.
• Make data-driven decisions while practicing creative problem solving.
• Write clean, maintainable, well-documented code with a focus on high-stakes quality, performance, and user experience.
• Improve infrastructure components including orchestration pipelines, test frameworks, and CI/CD workflows.
• Lead the technical integration of emerging tools, such as Agentic AI frameworks, to automate internal developer workflows and improve team velocity.
• Contribute to releases of application deployments and participate in on-call production support as needed.
• Collaborate cross-functionally with Product, Design, and Engineering stakeholders to define and implement product features.
• Participate in code reviews and champion engineering best practices.
• Contribute to a culture of technical excellence, innovation, best practices, and continuous improvement.
• Ensure compliance with FDA regulations for medical software and supporting systems, including documentation and quality assurance processes.

Required Qualifications

• Education:
  • BS in Computer Science or a related technical field + 5 years of experience;
  • OR MS/PhD in Computer Science or related field + 3 years;
  • OR equivalent practical experience as a full-stack software engineer.
• Proficiency in TypeScript or JavaScript.
• Strong development experience with Python.
• Strong cloud development experience (preferably AWS).
• Familiarity with modern web frameworks (Django & Vue.js strongly preferred, but Angular/React is acceptable).
• Deep understanding of backend and frontend security best practices.
• Strong problem-solving skills with the ability to analyze and resolve complex issues.
• Solid grasp of modern software development methodologies including CI/CD, testing, and Agile practices.
• Excellent communication and collaboration skills.

Preferred Qualifications (How You Stand Out)

• Advanced proficiency in:
  • Python, Django, JavaScript, TypeScript, Vue.js
  • Nginx, Pytest, GitHub, GitHub Actions
• Hands-on experience designing and building orchestration pipelines.
• Strong AWS experience with services such as:
  • Kubernetes, CDK, Step Functions, Lambdas, API Gateway, Fargate, ECS, Aurora (MySQL 8.0+)
• Demonstrated success in delivering cloud-native APIs, scalable web apps, and complex distributed systems.
• Experience developing regulated medical software (e.g., Software as a Medical Device) in compliance with FDA

Why Join Heartflow?

• Work on meaningful, life-changing products.
• Collaborate with top-tier engineers and innovators.
• Competitive compensation and benefits.
• Be part of a mission-driven company improving cardiovascular care globally.

If you're passionate about solving complex challenges, innovating in cloud technology, and creating impactful software that improves patient outcomes, we’d love to hear from you.

A reasonable estimate of the base salary compensation range is $180,000 to $215,000, bonus, and equity. #LI-IB1

About Netskope

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

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

About the Role

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

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

Qualifications/Requirements

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

Additional Skills

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

Education

• MS in Computer Science or equivalent technical degree

#LI-AW1

We are looking for an Application Security Engineer to work with our engineering team to ensure security is an integral part of our Software Development Lifecycle (SDLC). In this role, you’ll have the chance to use your security and software development background to protect patients as we build products that leverage AI to improve healthcare. If you enjoy working with talented engineers to solve complex technical challenges and want to see your work make a direct difference in patient outcomes, we encourage you to apply. This role is a hybrid, requiring three days a week in our San Francisco office.

What You’ll Do:

• Partner with the engineering team to provide hands-on technical guidance to software developers throughout the vulnerability remediation lifecycle. Perform secure code reviews, validate false positive determinations, coach developers on effective remediation strategies, threat model our products and carry out essential parts of a secure SDLC.
• Drive vulnerability identification using SAST, DAST, SCA and in-house AI tooling and manage external penetration testing.
• Support engineering team on vulnerability management, including risk assessment, remediation, improving identification of vulnerabilities and translate security and privacy requirements into technical requirements.
• Build security awareness through training on secure coding practices, security standards and latest security threats.

What You Bring:

• Security Communication – Ability to reason about risk in complex environments and communicate that risk to technical and non-technical audiences. Experience leading training, speaking internally/externally about security projects valued.
• Programming Skills  – Experience writing and maintaining code in at least one modern programming language and with at least one scripting language (Heartflow uses C++/Python). Comfortable with testing frameworks and CI/CD pipelines.
• AI Development Tools – Experience using AI code tools such as Claude Code and Github Copilot for development and security testing.
• Education & Experience  – BS in Computer Science (or related degree) or relevant certifications and equivalent experience. 5+ years of total experience with at least 1 year working in Application Security or performing security tasks in a development role.
• Securing SDLC – Have contributed to secure SDLC activities, including threat modeling, code review, security testing and vulnerability management.
• Knowledge of Modern AI Security Threats – Experience working with or ability to discuss current AI threats for both machine learning and generative AI.

What Helps You Stand Out:

• Healthcare Experience – Current knowledge of HIPAA, HITRUST and the complexities of working in a regulated environment. Experience with Software as a Medical Device (SaMD) is especially valuable.
• Infrastructure as Code & Cloud – Familiarity with AWS (or equivalent cloud providers) and configuration tools (Terraform, Chef, Ansible). Experience with containerization (Docker, Kubernetes) and orchestration (GitHub Actions or similar).

A reasonable estimate of the base salary compensation range is $145,000 to $180,000 per year, bonus, and equity. #LI-IB1

About this position:

We’re looking for a Machine Learning Infrastructure Engineer to join our growing Data & Platform team and build the foundation that powers our AI and machine learning capabilities across Later’s product portfolio. As our first dedicated ML Infrastructure Engineer, you will own the systems that support model experimentation, training, deployment, and monitoring at scale.

This role is critical to accelerating our data science initiatives and enabling future AI innovation. You’ll design and operate reliable, secure, and scalable ML infrastructure that empowers data scientists and engineers to ship high-impact models with confidence. If you’re excited about building robust ML systems in a fast-moving environment—and want to define the standard for ML Ops at Later—this is your opportunity.

What you'll be doing:

Strategy

• Define and own the long-term ML infrastructure roadmap, ensuring it supports both current experimentation needs and future AI initiatives.
• Establish best practices for model lifecycle management, deployment standards, monitoring, and governance. 
• Identify infrastructure gaps and proactively design scalable solutions to enable high-velocity ML development.
• Contribute to cross-functional technical planning, ensuring ML systems align with product and platform strategy.

Technical/ Execution

• Design, build, and maintain production-grade model deployment and inference systems using CI/CD pipelines, containerized services (Docker), and API frameworks (e.g., Flask).
• Automate end-to-end ML lifecycle workflows including training pipelines, model validation, registry management, deployment, and rollback strategies.
• Implement robust monitoring systems for model performance, latency, drift detection, and infrastructure health using tools such as CloudWatch, Prometheus, and Grafana.
• Operate across AWS and GCP environments to manage training and inference workloads, including GPU-based infrastructure and BigQuery datasets.
• Develop and maintain infrastructure-as-code (Terraform, CloudFormation) to ensure scalable, repeatable, and secure cloud environments.
• Implement and optimize CI/CD workflows (e.g., GitHub Actions, GitLab CI, Bitbucket Pipelines) for ML and infrastructure automation.

Team / Collaboration

• Partner closely with Data Scientists, Analysts, Platform Engineers, and Product Engineers to support end-to-end ML workflows.
• Translate data science experimentation needs into production-ready infrastructure solutions.
• Serve as the technical bridge between ML experimentation and productized deployment.
• Share knowledge and best practices to elevate ML maturity across teams.

Research/Best Practices

• Stay current on emerging ML Ops practices, tools, and frameworks to continuously improve system reliability and efficiency.
• Evaluate and implement model-serving frameworks (e.g., TorchServe, Seldon, TensorRT) where appropriate.
• Contribute to governance, reproducibility, and auditability standards for ML systems.
• Experiment with new tooling and workflows to improve reproducibility, performance, and developer velocity.

What success looks like:

• ML models move from experimentation to production quickly and reliably, with minimal manual intervention.
• CI/CD pipelines enable safe, repeatable deployments with clear rollback strategies.
• Model performance, drift, and infrastructure health are proactively monitored and observable.
• Infrastructure supports scalable GPU training and real-time inference without bottlenecks.
• Data scientists report improved velocity, reproducibility, and confidence in deploying models.
• ML systems are secure, compliant, and aligned with evolving product and AI strategy.

What you bring:

• 4+ years of experience in ML Ops, ML infrastructure, backend engineering, or related roles supporting production ML systems.
• Experience working in cloud-native environments (AWS and/or GCP) with hands-on deployment of ML workloads.
• Proven track record designing and implementing CI/CD pipelines for ML systems.
• Strong experience with Amazon SageMaker, Docker, Flask-based APIs, and infrastructure automation tools.
• Hands-on experience with ML lifecycle tooling such as MLflow, SageMaker Studio, or Weights & Biases.
• Experience managing container orchestration platforms (Kubernetes, EKS, or GKE).
• Strong programming experience in Python (additional experience in Go, Java, or Scala is a plus).
• Experience working with infrastructure-as-code tools such as Terraform or CloudFormation.
• Familiarity with observability tools such as CloudWatch, Prometheus, Grafana, Datadog, or centralized logging platforms.
• Experience managing GPU-based workloads and scaling training/inference systems.
• Familiarity with data infrastructure tools such as BigQuery and cloud-native data pipelines.
• Bonus: Experience supporting LLMs or generative AI pipelines, distributed training systems, feature stores (e.g., Feast), real-time inference systems, or ML governance frameworks.
• A mindset focused on automation, reliability, performance, and continuous improvement in fast-scaling environments.

How you work: 

• Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear.
• Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights.
• Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast—challenging the status quo with a mindset of improvement.
• Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive—removing roadblocks, sharing insights, and keeping morale high.
• Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth.
• Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity.

Our approach to compensation:

We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.

Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only.

To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted. 

Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package.

Salary Range: 

$ 145,000 -165,000 

#LI-remote

Make your impact within a rapidly growing Fintech Company

Join BILL’s Account Payables - Multi-Entity team, where we are transforming how businesses manage complex financial operations across multiple entities, subsidiaries, and locations. As a Senior Software Engineer, you’ll architect and scale innovative back-office solutions, managing enterprise-level data volumes and complex workflows that empower Lower Mid-Market Customers and Accountants to streamline operations through our flagship Multi-Entity (ME) offering.

This team operates with a "startup" mentality within the broader AP operations, having built a 0-to-1 core platform in the last year that handles data across hundreds of entities with a focus on reliability, high performance, and availability. This is your opportunity to work in a collaborative, high-growth environment where your technical expertise will directly influence BILL’s vision to empower businesses through financial automation. Please note that this role is operating in a hybrid working model out of our San Jose office. 

Responsibilities:

• Design, develop, and maintain robust, scalable software solutions for multi-entity account payable workflows.
• Collaborate cross-functionally with product managers, designers, and other engineers to translate business requirements into technical deliverables.
• Analyze complex problems, break them down into manageable components, and implement effective, maintainable solutions.
• Contribute to code reviews, share technical knowledge, and mentor junior team members to elevate team performance.
• Proactively identify areas for process and system improvements, recommending and implementing enhancements to drive product quality and efficiency.
• Ensure solutions adhere to best practices in security, reliability, and performance.
• Stay current with industry trends and emerging technologies, bringing new ideas to the team.

We’d love to chat if you have:

• Bachelor’s degree in Computer Science or a related field (Master’s a plus); typically 5+ years of professional software engineering experience
• Strong understanding of large-scale web applications and distributed systems—including deployment, capacity planning, monitoring, and incident management
• Proven ability to evaluate trade-offs and collaborate across teams on complex technical and business initiatives
• Experience leading technical strategy for Multi-Entity SaaS platforms, with demonstrated success in scaling systems to support millions of mission-critical transactions
• Full-Stack Proficiency: Hands-on experience with Angular, React or similar for front-end, and Java or TypeScript/Node.js  or similar for back-end services.
• AI Driven Development: Experience leveraging Gen AI technologies to accelerate software engineering by designing prompts, rigorously evaluating outputs, and integrating LLMs
• Technical Breadth: Working knowledge of GraphQL, AWS (Lambda, DynamoDB, S3, SNS/SQS), microservices, and API gateway patterns.
• Systems Thinking: Strong understanding of large-scale web applications, distributed systems, monitoring, and CI/CD (GitHub Actions, Jenkins). 

Visa Sponsorship:  Please note that this position is not eligible for visa sponsorship. Applicants must have authorization to work in the United States without requiring visa sponsorship now or in the future.

#LI

Summary:

We are seeking a highly experienced Senior Software Engineer with deep full-stack expertise and a strong DevOps orientation. This individual will play a key role in designing, building, testing, and operating scalable web applications that support critical business functions.

The ideal candidate combines strong frontend and backend development capabilities with a disciplined approach to automation, testing, CI/CD, and production reliability. This role requires technical leadership, architectural judgment, and the ability to drive engineering excellence across the software lifecycle.

Essential Functions:

Full-Stack Application Development

• Architect, design, and implement scalable applications using Next.js and React
• Develop and maintain backend services and GraphQL APIs, including schema design and performance optimization
• Ensure high standards for code quality, security, performance, and maintainability
• Participate in architectural design reviews and technical decision-making

Testing & Quality Engineering

• Lead implementation of comprehensive automated testing strategies, including:
• End-to-end UI testing (e.g., Playwright, Cypress)
• API and integration testing
• Unit and regression testing
• Establish and enforce best practices for test coverage and quality gates
• Improve system stability through proactive quality engineering practices

DevOps & Continuous Delivery

• Design, implement, and optimize CI/CD pipelines using GitHub Actions
• Automate build, test, and deployment workflows across environments
• Improve release reliability, deployment frequency, and rollback strategies
• Contribute to monitoring, logging, and observability improvements
• Support production systems and participate in incident resolution when needed

Technical Leadership

• Mentor engineers and provide guidance on architecture and best practices
• Contribute to engineering standards and documentation
• Drive continuous improvement in development processes and tooling
• Collaborate cross-functionally with Product, Design, and Infrastructure teams

Requirements: 

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
• Minimum 5 years of professional software engineering experience and a minimum of 4 years of experience in modern frontend frameworks, including Next.js and React. Other combinations of education and/or experience may be considered.
• Strong experience designing and implementing GraphQL APIs
• Proven experience in full-stack system architecture and development
• Demonstrated experience implementing automated testing for UI and APIs
• Hands-on experience building and maintaining GitHub Actions CI/CD workflows
• Strong understanding of DevOps principles, continuous delivery, and production system reliability
• Experience working with scalable, production-grade applications
• Excellent communication skills and ability to lead technical initiatives

Preferred Qualifications

• Experience deploying and managing applications in Microsoft Azure
• Experience with Terraform or other Infrastructure-as-Code solutions
• Familiarity with containerization (Docker) and modern deployment patterns
• Experience with monitoring and observability platforms
• Familiarity with AI-assisted development tools such as ChatGPT, Claude, or similar platforms
• Experience integrating AI APIs or intelligent automation into applications
• Strong architectural and systems design capability
• Ownership mindset with accountability for outcomes
• Commitment to automation and operational excellence
• Ability to balance technical rigor with delivery timelines
• Continuous learner who leverages modern tools, including AI-assisted development
• Other combinations of education and/or experience may be considered.

Role Description:

We’re looking for an experienced Software Development Engineer in Test (SDET) to join our Software Quality team and help lead our test automation strategy across the Mill ecosystem — spanning embedded firmware, mobile apps (iOS/Android), web, and cloud platforms. This role will play a key part in shaping our end-to-end quality strategy and building the frameworks that ensure reliability and scalability in our rapidly evolving products.

Key Responsibilities

• Collaborate closely with the engineering team to design and develop Mill’s automated test infrastructure.
• Design, implement, and scale automation frameworks covering embedded firmware, mobile applications, web, and cloud services.
• Interface with cross-functional leaders (Product, QA, Engineering, TPMs) to translate product requirements and feature requests into well-defined, structured test plans.
• Drive automation initiatives — mentor QA engineers, explore emerging tools, and champion best practices in test engineering.
• Establish and maintain reliable processes and tooling for test script development, integration, and execution.
• Partner with Developers, QA Engineers, Firmware Engineers, Software Engineers, Product Managers, and TPMs to ensure robust end-to-end product quality across all layers of the stack.

Minimum Qualifications

• B.S. in Computer Science, Computer Engineering, or a related field.
• 8+ years of experience in software development and testing roles.
  Strong programming skills in Python, Java, and JavaScript.
• Deep understanding of software design principles, automation frameworks, and quality engineering across mobile, cloud, and firmware systems.
• Excellent written and verbal communication skills, with the ability to produce clear technical documentation and architecture diagrams, and collaborate effectively with cross-functional teams.
  

Preferred Qualifications

• Hands-on experience using Python and Java in production-grade automation.
• Proven record of shipping and scaling consumer-facing products with high reliability and performance.
• Experience working in fast-paced, agile environments (Scrum/Kanban) with startup-level velocity.
• Camera systems or computer vision testing experience is a strong plus.
• Expertise in CI/CD pipelines and automated integration/system testing (e.g., Jenkins, GitHub Actions).
• Proficiency with GitHub (version control) and project tracking tools such as JIRA.

The estimated base salary range for this position is $190k to $210k, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs. At Mill, it is not typical for an individual to be hired at or near the top of the range for their role.

Why You’ll Love This Role

We are looking for an ambitious Senior Technical Program Manager who puts customers first and will thrive at the intersection of security, compliance , and program execution. In this role, you’ll partner with product, engineering and GRC teams to operationalize federal compliance initiatives, manage cross-functional security programs, and ensure business alignment with frameworks like FedRAMP, NIST 800-53 and privacy regulations.

This is a solutions-oriented role that also requires being the connective tissue between compliance, engineering, and business objectives- supporting secure-by-design principles, risk reporting, continuous compliance efforts and clear communication to program stakeholders. We are looking for people who love to get stuff done, and laugh a bit along the way. Cribl is a serious company that doesn’t take itself too seriously. You will be a key contributor to the success of the Product and Engineering teams and focus on the governance enablement within engineering. This role reports to the Principal Technical Program Manager for Compliance.

As An Active Member Of Our Team, You Will…

• Drive and support compliance-aligned initiatives across product and engineering teams, including the tracking of control health & ownership, evidence management and assessment readiness for ProdEng
• Translate compliance requirements into actionable engineering stories, epics or acceptance criteria
• Partner with leads in product and engineering to embed security requirements into workflows
• Collaborate closely with other leaders to ensure alignment across cross-functional teams and achieve company-wide goals.
• Maintain dashboards or metrics for engineering control maturity, open vulnerabilities and readiness actions
• Facilitate readiness reviews and prep sessions ahead of external assessments to ensure alignment between Product and Engineering artifacts and compliance narratives
• Identify areas where automation or tooling could improve execution
• Regularly communicate status, blockers and key risks
• We are a remote-first company and work happens across many time-zones – you may be required to occasionally perform duties outside your standard working hours 

If You’ve Got It - We Want It

• Bachelor degree in Computer Science, Information Systems or related discipline (or equivalent work experience)
• 5+ years of experience in technical program management or information security
• Experience collaborating on complex programs or solutions that span different groups within an organization 
• Strong verbal and written skills as well as the ability to present to all levels in an organization
• Experience influencing engineering teams in the development of systems, solutions, and products. 
• Solid understanding of secure SDLC, risk management and cloud security principles
• Strong familiarity with NIST 800-53, FedRAMP, privacy regulations, especially in product or engineering contexts
• Hands-on experience with Jira or Confluence and experience with common software development tools (e.g. GitHub, bitbucket, Jenkins) and public cloud technology (e.g. AWS, Azure etc)
• Solid experience managing or supporting FedRAMP Authorization packages
• Ability to turn compliance activity into business value
• Experience supporting compliance readiness within SaaS or cloud-native product engineering teams
• Exposure to TPM workflows (e.g. sprint management, risk reporting, dependency tracking)
• Industry Relevant Certification (e.g. Security+, AWS Cloud Practitioner, CISSP etc.)

Salary Range ($115,000 - $179,000)

The salary for this role is dependent on geographic location. The salary offered within the range described will be based on the individual candidate’s job-related knowledge, skills, and experience.  In addition to a competitive salary, Cribl also offers a generous benefits package which includes health, dental, vision, short-term disability, and life insurance, paid holidays and paid time off, a fertility treatment benefit, 401(k), equity, and eligibility for a discretionary company-wide bonus.

#LI-KJ1
#LI-Remote

About This Role

Varda is seeking a Data Engineer to join our team. In this role, you will support the development of data pipelines, storage, security, and quality that power the organization. You will learn and contribute to the current application ecosystem and data architecture. You will collaborate with team members across functions to help identify opportunities for process or application improvements.

You will assist in the implementation of these solutions through the product life cycle from opportunity identification to support and sustainment. You will work cross-functionally with team members across Varda to support initiatives that enhance company processes, execution insight, and infrastructure robustness. Projects will include a wide range of desired outcomes, including cycle time reduction, cost reduction, improved decision making, risk reduction, and any other key operational efficiency. Your contributions will immediately impact functional operations and have an opportunity to contribute to Varda's overall growth and success. This role will report to the Director of Enterprise Applications.

This is a full-time, onsite, exempt position located in our El Segundo headquarters.

Responsibilities

• Assist in building and maintaining ELT pipelines that ingest data from ERP, CRM, PLM, QMS, and other enterprise systems.
• Support enterprise data platform and enterprise application evaluations by researching external solutions and documenting findings.
• Assist with data storage tasks, including table format standards, partitioning strategies, and interoperability across the tool ecosystem.
• Establish data quality frameworks, lineage tracking, and pipeline observability, including SLA monitoring, proactive alerting, and production-grade logging.
• Support AI/ML workflows by designing feature pipelines, clean data products, and a governed knowledge layer that keeps data semantically aligned for reliable model and agent consumption.
• Work with application engineers and functional stakeholders to help translate requirements and business logic into technical specifications and data solutions.
• Operate effectively within regulated environments where your pipelines will be subject to compliance and auditability requirements enforced by FDA GMP, ITAR, and DCAA.
• Implement and enforce modern development practices, including source control, peer review, CI/CD pipelines, and automated build/test/deploy workflows (ex, GitHub Actions).
• Leverage AI-assisted development tooling to accelerate delivery and improve personal productivity.
• Learn and apply layered data architecture patterns to organize data assets for reliability and reuse.

Basic Qualifications

• Bachelor's degree in Computer Science, Information Systems, or related fields. 
• 3+ years of experience in enterprise integration or data engineering roles (advanced degrees count towards years of experience).
• Experience with cloud data warehouse or Lakehouse platforms (ex, Snowflake, Databricks).
• Experience with relational (SQL) and non-relational (NoSQL) databases (ex, PostgreSQL, MySQL, MongoDB, DynamoDB)
• Exposure to data transformation tools (ex, dbt).
• Proficiency in SQL and at least one general-purpose programming language (ex, Python).
• Exposure to Enterprise Systems such as MRP, CRM, ERP, etc.
• Foundational understanding of data modeling concepts (star schema, normalization, dimensional modeling).
• Familiarity with source control (Git) and basic CI/CD concepts.
• Ability to write clean, documented code and a willingness to learn data quality testing practices.
• Understanding of software architecture principles, data warehousing, and ELT workflows.
• Capability to gather business requirements from stakeholders and take a project from initial concept to finished product.
• Ability to work with end users to rapidly iterate on prototype applications by solving end-user issues.
• Ability to translate technical concepts to non-technical audiences for stakeholders, internal and external to the organization.

Preferred Skills and Qualifications

• Experience with database administration, including schema design, performance tuning, and query optimization.
• Experience interfacing with engineering and manufacturing groups to understand system designs and translations to data needs.
• Experience supporting AI/ML pipelines, including feature stores, training data pipelines, or model monitoring infrastructure.
• Experience in a start-up or similar high-growth environment.
• Familiarity with workflow orchestration tools (ex, Airflow).
• Exposure to aerospace, defense, or pharmaceutical data environments.
• Experience working with ERP systems deployed in a design development environment.
• Exposure to Infrastructure as Code for cloud resource provisioning (e.g., Terraform).
• Relevant platform or tooling certifications (ex, dbt Certified Developer, cloud data platform certifications).

Compensation

• Data Engineer: $130,000 - $160,000
• Leveling and base salary are determined by job-related skills, education level, experience level, and job
• performance
• You will be eligible for long-term incentives in the form of stock options and/or long-term cash awards
• Offer compensation also includes the ability to purchase company stock through the Employee Stock Purchase Plan

Role Summary
We are seeking a Senior Technical Program Manager (TPM), Software, to lead complex programs involving application-level software across edge and cloud platforms. This role drives cross-functional execution across software engineering, firmware, hardware, product, quality assurance, and system integration teams. You will own program scope, schedules, risk management, and delivery quality across multi-release roadmaps, ensuring alignment and successful outcomes.

Responsibilities:

• Lead cross-functional collaboration across software engineering, firmware development, hardware engineering, product management, QA, and system integration teams.
• Drive execution of embedded and application-level software development programs from planning through delivery.
• Own program scope, schedules, and resource allocation, ensuring alignment with timeline, quality, and budget expectations.
• Communicate program status, milestones, and risks to executive leadership and stakeholders with clarity and transparency.
• Coordinate software feature planning, milestone tracking, and integration timelines alongside hardware and systems teams.
• Identify, track, and mitigate risks related to software dependencies, release timelines, and cross-functional integration.
• Ensure visibility into cross-team dependencies that impact software development.
• Partner with product teams to define software requirements, roadmaps, and success metrics aligned with business goals.
• Monitor program costs and resourcing, identifying opportunities for efficiency and optimization.
• Improve program management processes, tools, and best practices to enhance execution, scalability, and transparency.
• Support release and validation processes in collaboration with QA and release engineering, ensuring adequate testing coverage and timely issue resolution.

Qualifications:

• Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field (or equivalent experience).
• 5+ years of experience in technical program management or engineering leadership roles.
• Strong experience managing complex software and/or firmware programs across multiple teams and timelines.
• Deep understanding of the software development lifecycle (SDLC), Agile methodologies, and firmware development practices.
• Experience working in organizations that build integrated systems across hardware, embedded firmware, and application software.
• Strong leadership and organizational skills, with the ability to influence across functions and levels.
• Excellent written and verbal communication skills, with the ability to bridge technical and non-technical audiences.
• Comfortable operating in fast-paced environments with evolving priorities and requirements.
• Hands-on experience with Atlassian tools (Jira, Confluence) and Agile frameworks (Scrum/Kanban).
• Preferred: Experience with GitHub, AWS, observability tools, and Python.
• Willingness to travel up to 20%, including international travel.

Tools & Platforms (Preferred Exposure):

• Planning & Collaboration: Jira, Confluence, Scrum/Kanban
• Code & CI/CD: GitHub (Projects, Actions), release pipelines
• Cloud & Infrastructure: AWS (IAM, EC2, ECS, Lambda basics)
• Observability: Metrics, logs, and tracing tools (e.g., CloudWatch, Grafana, Sentry)
• Scripting & Automation: Python for data wrangling, reporting, and lightweight tooling

Role Summary:
We are seeking a Senior Technical Program Manager (TPM), Firmware to oversee complex programs involving embedded firmware on microcontrollers. This role requires orchestrating cross-functional execution across firmware engineering, software, hardware, product, quality assurance, and system integration teams. You will own program scope, schedules, risk management, and delivery quality across multi-release program roadmaps.

Responsibilities:

• Lead cross-functional collaboration across firmware engineering, software development, hardware engineering, product management, QA, and system integration to drive successful execution of embedded and application-level software development.
• Oversee program scope, schedules, and resource allocation for firmware initiatives, ensuring deliverables meet timeline, quality, and budget expectations.
• Communicate program status, critical issues, and milestones to executive leadership and cross-functional stakeholders, ensuring alignment, visibility, and transparency.
• Drive firmware feature planning, milestone tracking, and integration timelines in coordination with hardware and systems development teams.
• Identify and mitigate risks related to firmware dependencies, release timelines, and cross-functional integration, ensuring all cross-dependency risks impacting firmware development are captured and highlighted.
• Collaborate with product teams to define firmware requirements, roadmaps, and success metrics aligned with product goals.
• Monitor program costs and resourcing needs, identifying opportunities for efficiency, reuse, and reduced overhead.
• Improve program management processes, tools, and best practices specific to firmware development to enhance execution, scalability, and transparency.
• Support release and validation processes by partnering with QA, release engineering, and support teams to manage timelines, testing coverage, and issue resolution for software deliverables.

Qualifications:

• Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent experience in embedded systems, firmware, or software development.
• 5+ years of experience in technical program management or engineering leadership roles, with a strong focus on software and/or firmware-based products.
• Proven success managing complex software/firmware programs involving multiple teams, timelines, and cross-functional coordination.
• Strong understanding of the software development lifecycle (SDLC), Agile methodologies, and firmware development practices.
• Experience working within engineering organizations that develop products integrating hardware, embedded firmware, and application software.
• Strong leadership and organizational skills, with the ability to influence across multiple levels and disciplines.
• Excellent written and verbal communication skills, with the ability to bridge technical and non-technical stakeholders.
• Comfortable operating in fast-paced environments with rapidly shifting priorities and evolving requirements.
• Experience with Atlassian tools (Jira, Confluence) and Agile frameworks (Scrum/Kanban).
• Preferred: Experience with GitHub, AWS, observability tools, and Python.
• Willingness to travel up to 20%, including international travel.

Tools & Platforms (Preferred Exposure):

• Planning & Collaboration: Jira, Confluence, Scrum/Kanban
• Code & CI/CD: GitHub (Projects, Actions), release pipelines
• Cloud & Infrastructure: AWS (IAM, EC2, ECS, Lambda basics)
• Observability: Metrics, logs, and tracing tools (e.g., CloudWatch, Grafana, Sentry)
• Scripting & Automation: Python for data wrangling, reporting, and tooling
• Hardware/Firmware Context: Microcontroller-based firmware, board bring-up, system integration

Purpose

Join Divergent in redefining how complex systems are designed and manufactured. Our proprietary 3D metal printing and digital manufacturing platform are transforming production--enabling unprecedented speed, scalability, and performance.

As a Senior Software Engineer, you will lead the development of the machine control systems that power our next-generation manufacturing platform. This is a high-impact role where your technical experience will directly influence system performance, reliability, and the future direction of our software stack.

The Role

• Lead the architecture and development of real-time machine control systems for advanced 3D metal printing platforms
• Own and evolve the software stack for machine orchestration, including motion control, system coordination, and performance optimization
• Design and drive development of scalable, high-performance GUIs for operator control and system observability
• Architect and build high-fidelity simulation frameworks for system validation, predictive modeling, and performance tuning
• Define and implement calibration strategies, diagnostics, and automated maintenance systems to ensure precision and uptime at scale
• Partner cross-functionally with mechanical, electrical, and systems engineering leaders to drive full-stack mechatronic integration
• Set technical direction, coding standards, and best practices for real-time and systems-level software development
• Mentor engineers and provide technical leadership across projects, influencing design decisions and long-term architecture
• Drive initiatives that improve system robustness, scalability, and developer productivity

Basic Qualifications

• Ability to lawfully access information and technology subject to U.S. export controls
• Expert-level proficiency in modern C++ (C++11 or later), including multithreading, concurrency, and performance optimization
• Proven experience building complex, real-time or distributed systems
• Strong experience with Git-based workflows and modern build systems (e.g., CMake)
• Demonstrated ability to own systems end-to-end, from design through deployment and iteration

Preferred Qualifications

• Deep experience with real-time systems, control systems, or robotics software
• Strong background in industrial automation, motion control, or mechatronics integration
• Experience developing GUIs with Qt or similar frameworks
• Familiarity with computer vision (e.g., OpenCV) and sensor integration
• Proficiency in Python for automation, tooling, or rapid prototyping
• Working knowledge of Digital Signal Processing (DSP)
• Experience with modeling and simulation tools (MATLAB, Simulink, Simscape)
• Familiarity with CI/CD pipelines and scalable development workflows (e.g., GitHub Actions)
• Track record of technical leadership, mentorship, and influencing engineering direction

Work Environment

• Onsite

Compensation

At Divergent, our pay range is based on the level of the job. For this role, we will consider candidates at levels E05 - E06 as evaluated through our interview process. 

• E05 / Senior: $141,380 - 194,390
• E06 / Staff: $163,270 - $224,500

About the Role

We are building an AI-native platform where agentic systems, real-time services, and distributed infrastructure converge to power intelligent financial products. We are looking for a Senior Platform Engineer who is deeply technical, AI-first by mindset, and excited to build foundational systems through code.

This is a senior individual contributor role for someone who:

• Thinks in distributed systems
• Codes extensively and confidently
• Understands AI-native architectures
• Builds durable, scalable platforms
• Use AI tools (Cursor, MCP, Claude, etc.) to write, review and ship code- not as an experiment, but as default practice
• Raises the engineering bar for everyone around them

You will write production-grade code daily and own critical components of our core platform

What You’ll Do

Build AI-First Platform Systems

• Design and implement core platforms that power multi-agent orchestration, real-time decisioning, and AI workflows.
• Build structured control layers around LLM integrations to ensure reliability and low latency.
• Develop abstractions that allow AI systems to operate safely and predictably at scale.
• Contribute to evaluation, monitoring, and guardrail systems for AI development lifecycle and agentic architectures.

Engineer High-Performance Distributed Systems

• Design and build low-latency infrastructure platforms
• Optimize resource utilization and costs
• Enable streaming and event-driven platforms to be hosted
• Build fault tolerance, resiliency, and failovers.
• Enable reducing tail latency and eliminate performance bottlenecks.

Code with Ownership

• Write production-quality code in Python and at least one systems/backend language (Node.js or Go preferred).
• Use AI as an active part of how you write, review, refactor, and debug — not a shortcut, but a force multiplier on your engineering judgment.
• Review code with rigor and raise engineering standards.
• Refactor and simplify, and build abstractions over complex infrastructure systems for maintainability.

Strengthen Platform Foundations

• Build reusable service frameworks and platform abstractions.
• Improve observability, logging, metrics, and tracing.
• Harden authentication, authorization, and secure service-to-service communication.
• Drive architectural improvements through RFCs and technical proposals.

Collaborate Across AI & Product Teams

• Work closely with engineers and product teams.
• Translate product needs into scalable platform capabilities.
• Build a security first mindset and frameworks to enable secure SDLC
• Support compliance, security, and governance requirements.

What You’ll Bring

Required

• 7+ years of backend or distributed systems engineering experience.
• Strong proficiency in Python and at least one backend language (Node.js or Go).
• Proven experience with observability and tracing systems (OpenTelemetry, Prometheus, Grafana). 
• Hands-on experience with IaC tools — Terraform, Pulumi, or AWS CDK — architecting infrastructure that is scalable, repeatable, and version-controlled. 
• Experience with CI/CD pipeline design (Jenkins, GitHub Actions, ArgoCD, GitOps workflows).
• Hands-on experience with Kubernetes, Helm, Terraform, and declarative infrastructure management.
• Deep understanding of distributed systems, concurrency, and performance optimization.
• Experience building high-availability, production-scale systems.
• Hands-on experience designing APIs and microservices.
• Strong debugging skills across complex distributed environments.
• Experience deploying systems in cloud-native environments. 
• AI- native workflow: Build with AI daily: creating agents, automating analyses, prototyping with code, building custom workflows. The specific tools don't matter (Cursor, Copilot, Claude, Replit, custom scripts — all count); what matters is that you've moved beyond prompting into building.

Strongly Preferred

• Experience working with LLMs or AI-driven systems in production.
• Familiarity with agentic architectures or multi-agent orchestration.
• Experience with streaming systems and event-driven architectures.
• Experience building systems under strict latency constraints.
• Experience in fintech or regulated environments

Bonus Points

• Experience with platform product thinking—prioritizing developer empathy and user feedback.
• Previous work in platform engineering or internal developer portals.

Why Join Us

• Build core platform systems that power one of the fastest-growing AI companies in fintech.
• Shape developer experience, infrastructure standards, and reliability practices for an AI-first ecosystem.
• Work in a high-trust, fast-growth environment where innovation meets real-world impact.
• This role directly impacts:
  • Multi-agent orchestration
  • Low-latency real-time systems
  • Reliability of customer-facing AI
  • System scalability under growth
  • Compliance and security guarantee

Compensation

•  Base Salary Range is expected to be between $170,000 - $210,000, plus performance bonus and equity options. Exact compensation may vary based on skills and location.

We value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our Palo Alto or San Francisco office hub and this is an -site role.

How We Work

Every Engineer builds with AI daily. Our standard toolkit is Cursor, MCP integrations,  Claude, and custom AI agents — and we onboard every new hire on these tools in their first week. We hold a high quality bar and move at startup speed. Flat organization. No empire-building.

Our Values

• Act Like You're the Founder: Own the outcome from start to finish
• No Fear. Speak Your Mind: Candor moves us forward
• Pursuit of Excellence: Raise the bar, every time
• AI-First Mindset: Think automation, intelligence, and scale-first in every solution
• Don't Assume. Seek to Understand: Start with questions, not conclusions

What We Offer

• 💡 100% paid health, dental & vision care
• 💰 401(k) match & financial wellness perks
• 🌴 Discretionary PTO + paid parental leave
• 🧠 Mental health, wellness & family benefits
• 🚀 A mission-driven team shaping the future of banking

What you’ll do:

• Architect, build, and maintain Continuous Integration and Continuous Deployment (CI/CD) workflows and automated testing pipelines for the GNC and Vehicle Simulation groups using tools like GitHub Actions and TeamCity.
• Support developing and maintaining automated toolchains to generate, compile, and deploy Simulink and MATLAB code across multiple targets, including desktop simulation environments, Hardware-in-the-Loop (HIL) lab hardware, and flight computers for both subscale and full-scale vehicles.
• Architect new, and manage existing, High-Performance Computing (HPC) infrastructure to support large-scale Monte Carlo simulations, batch regression testing, and parallelized simulations and testing
• Manage the critical software interfaces between the "Virtual Vehicle" (Simulink models) and downstream platforms, including managing Interface Control Documents (ICDs), data dictionaries, and signal mapping to embedded middleware.
• Develop C/C++ wrapper functions, S-functions, and harnesses to integrate compiled code and external libraries seamlessly within the MATLAB/Simulink environment.
• Act as a cross-functional engineering multiplier: Leverage your familiarity with aerospace principles to flex across roles, contributing directly to vehicle simulation modeling, physics tooling, or GNC integration tasks when needed.
• Serve as the primary technical bridge between the Flight Dynamics & Control (FD&C) team and the Platform embedded software team, ensuring that complex algorithms translate predictably to real-time execution.

What you need:

• BS/Advanced Degree in Aerospace Engineering, Computer Science, Electrical/Computer Engineering, or a related field with at least 8 years of relevant experience 
• Foundational understanding of aerospace principles, vehicle dynamics, or GNC concepts, enabling you to speak the exact same language as the engineers whose algorithms you are deploying.
• Proficiency in MATLAB and Simulink, specifically including auto-code generation tools (Simulink Coder, Embedded Coder).
• Strong proficiency in modern C/C++ and experience integrating C/C++ with Simulink.
• Proven experience designing and maintaining CI/CD workflows using GitHub Actions, TeamCity, Jenkins, or similar platforms.
• Strong scripting skills (Python, Bash, or MATLAB scripting) for automating build systems and testing pipelines.
• Ability to use, understand and leverage modern LLMs and AI based coding tools.

Bonus Qualifications: 

Direct experience developing or verifying GNC/Vehicle Simulation systems in simulation or on hardware is a major plus!!

• Experience with real-time operating systems (RTOS) like Linux RT, VxWorks, or QNX.
• Experience with Hardware-in-the-Loop (HIL) systems (e.g., Speedgoat, dSPACE, VeriStand).
• Knowledge of communication protocols (CAN, Ethernet, RS-422) and middleware (DDS, ROS2).
• Experience with Model-Based Design (MBD) certification standards like DO-331 or safety-critical software development (DO-178C).
• Experience packaging and containerizing simulation environments (Docker, Kubernetes).

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 law. For this position we are targeting a base pay between $170,000 - $215,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

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.

About the role

At Applied Intuition, you will:

• Define, implement, and maintain the Quality Assurance process, Work Instructions, and quality criteria for SDS in compliance with ASPICE and ISO 9001:2015
• Collaborate with process owners to develop process descriptions, RASIC matrices, and templates aligned with ASPICE PAM, and support their deployment across SDS projects
• Drive process training and awareness across engineering, management, and support teams
• Perform independent work product and process audits to verify compliance with ASPICE, ISO 9001:2015, and internal quality standards
• Conduct internal assessments against defined ASPICE capability level targets
• Identify, record, track, and drive process and work product non-conformances to closure using structured RCA methodologies (e.g., 8D, 5-Why, Fishbone), with formal escalation for unresolved items
• Ensure traceability of QA results, including process conformances, audit findings, and quality KPIs, and communicate findings to all affected parties
• Interface with Change Request Management (CCB) to ensure quality-related changes are properly analyzed, approved, and tracked
• Participate in design reviews and provide quality feedback on software architecture and implementation
• Define and maintain quality KPI dashboards aligned with ASPICE and ISO 9001:2015

We're looking for someone who has:

• BS, MS, or PhD in Electrical Engineering, Computer Science, or other related fields
• 3+ years of experience in automotive SW quality assurance/ engineering
• Solid understanding and hands-on experience with Automotive SPICE (ASPICE) and ISO 9001:2015 compliance
• Experience developing process documentation, including Work Instructions, process descriptions, templates, and RASIC matrices
• Experience in conducting work product audits, process audits, according to ASPICE, process compliance with ISO9001:2015 and driving quality issues to closure.
• Experience with problem solving methodologies, including hands-on knowledge of 8D, 5-Why, and Fishbone (Ishikawa) root cause analysis methodologies
• Experience defining and reporting quality metrics and KPIs, with strong data analysis and interpretation skills
• Ability to read and review C, C++ and Python code for quality assurance purposes; code development not required
• Experience with process documentation and knowledge of process framework, hierarchy, and guideline development
• Preparation and presentation of software product quality status, including quality metrics, audit metrics, top quality issues, and risks

Nice to have:

• intacs® certified Automotive SPICE Provisional or Competent Assessor
• Certified Internal Quality Management System Auditor — ISO 9001 or IATF 16949
• Experience with ASPICE PAM v4.0 processes MLE (Machine Learning Engineering) and HWE (Hardware Engineering)
• Knowledge of Continuous Integration/Continuous Deployment (CI/CD) practices and tools (e.g., Jenkins, GitHub Actions, Buildkite)
• Experience with automated testing frameworks (e.g., GTest, Pytest) for quality review purposes
• Familiarity with version control systems (e.g., Git, SVN)
• Experience with international industry standards ISO 26262 and/or ISO/SAE 21434
• Familiarity with automotive standards and protocols (e.g., CAN, LIN, OBD-II)
• Experience with tools such as Jira, Confluence, Polarion, Codebeamer, and Power BI dashboards

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $150,000 - $188,000 USD annually.

GAQ127R41

Location: San Francisco, CA (Hybrid)

Team: IT Infrastructure and Operations

About the Role

At Databricks Information Technology, we are a product-led organization transforming the way we work, from how easy it is to use our IT services to the applications we develop that help us scale seamlessly in the face of incredible growth.

As a Senior Software Engineer (Infrastructure), you will be a core technical contributor on the IT Infrastructure team, owning and driving the evolution of our core infrastructure and observability platforms. This role requires a strong software engineering mindset, deep technical breadth across SRE and infrastructure worlds, and the ability to deliver high-quality, scalable solutions for currently "immature" system problems. You will be responsible for building resilient, scalable, and automated infrastructure that empowers our development teams. As a senior member of the team, you will bridge the gap between software engineering and systems architecture, ensuring our AWS environment is cost-optimized, secure, and highly available.

The Impact You Will Have

• Architect and Automate: Design and deploy production-grade infrastructure on AWS using Terraform or Pulumi.
• Orchestration: Manage and scale containerized workloads using AKS (Azure Kubernetes Service) or EKS, focusing on cluster security and resource efficiency.
• CI/CD Excellence: Architect robust deployment pipelines using GitHub Actions, managing both GitHub-hosted and self-hosted runners for specialized build requirements.
• Drive "Observable by Default" Frameworks: Create underlying infrastructure to ensure new internal applications are secure and have logging and metrics enabled by default
• Tooling, Scripting & AI : Build internal CLI tools,AI plugins and automation scripts to streamline developer workflows and enhance operational efficiency 
• Partner Cross-Functionally: Collaborate with stakeholders across Security, Engineering, Infrastructure, and Support to deliver impactful projects with real business outcomes.
• Mentor and Document: Participate in Code reviews, Document solutions and failure triage playbooks, and mentor junior engineers on the platforms you own.

What We Look For

• Software Engineering Expertise: 5+ years of production-level experience with a strong proficiency in Python (non-negotiable).
• IaC: Expert-level proficiency in Terraform (modules, state management) or Pulumi(Preferred).
• Cloud & Infrastructure Breadth: Hands-on experience with AWS (or Azure/GCP), Kubernetes, Docker and containerization concepts.
• Automation & Integration Mindset: Experience building and troubleshooting integrations between infrastructure, data pipelines, and observability platforms.
• CI/CD: Advanced knowledge of Github Actions, Github Runners.
• Strong Observability Mindset: Understanding of observability pillars (logging, metrics, tracing) and hands-on experience with tools like Datadog, Prometheus, or ELK.
• Distributed Systems: Proficiency in running systems through concepts like Kafka or messaging queues.
• Independent Execution: Ability to operate with minimal guidance, take ownership of ambiguous projects, and follow a vision set by tech leads to execute independently.

About the role

At Netskope, we embrace a model where each development team is responsible for their own testing. The Central Quality team is the backbone that oversees shared quality processes, metrics, tooling and environments across the whole engineering organization.

We are looking for a Director of Quality Engineering to lead the US based part of the Central Quality organization. In this role you’ll be responsible for tracking product quality across engineering and driving improvements in testing, releasing and quality reporting. You’ll report directly to the head of quality, and work closely with your counterpart in India to drive engineering-wide improvements. 

Additionally you will manage three US base teams responsible for all the shared test environments, and test automation and reporting services utilized by the whole engineering organization.

This is a high-impact technical leadership role perfect for a hands-on seasoned QE leader who has experience running large quality engineering and tool development organizations.

What's in it for you

Opportunity to make a difference. We’re at an inflection point where our existing quality and release processes and testing infrastructure won’t scale much longer. You’ll get to influence and drive the implementation of the next generation processes and tooling, and change how software is tested and released at a multi-billion dollar company.

Additionally you will manage a mature test tooling organization consisting of two distinct teams, each led by established managers. You’ll have an opportunity to direct the growth of the test tooling organization to address the future challenges in a rapidly growing company.

What you will be doing

• Take ownership of release and quality processes to improve them.
• Define and develop automated quality reporting workflows that work across a variety of product development teams.
• Improve release management processes.
• Drive the implementation of next-generation test automation and smoke testing frameworks and test reporting systems.
• Provide day-to-day management and mentorship to 2 or more engineering managers/senior managers.
• Foster a culture of technical excellence and growth, adopting latest new tools, technologies and development processes like spec-driven development. 
• Oversee the long term testing / pre-production environment strategy, ensuring high availability and stability for testing environments used by the entire company.
• Work closely with multiple QE and development teams, PMO, engineering management and product management.

Required skills and experience

• 15+ years of experience in software engineering, with a strong background in test automation and tooling.
• 10+ years of management experience, with at least 3+ years experience managing other managers (Director level experience).
• Proven experience running Engineering Productivity, Internal Developer Platform, or Tooling development teams. You understand the unique challenges of treating developers and quality engineers as your primary customer.
• Strong background in building scalable test automation frameworks (Python, Go, or Java).
• Strong background in CI/CD pipelines (Jenkins, GitHub Actions) and how test infrastructure integrates with them.
• Experience overseeing OPS/SRE functions, specifically regarding the management of complex, distributed test environments.
• Strong verbal and written communication skills. Ability to work with a globally distributed team across different time zones (US, EU, India, Taiwan).

Education

• BSCS or equivalent required, MSCS or equivalent strongly preferred

#LI-SC1

Everlaw is evolving its release infrastructure to support a future where AI agents actively participate in deployments. We are looking for a hands-on Senior Software Engineer to build, optimize, and harden the pipelines, data models, and APIs that make this possible.

This is an execution-heavy, software engineering role, not a “keep the lights on” position maintaining legacy tooling. You will be writing code, tuning Gradle/Bazel builds, debugging CI flakes, and implementing the specific API endpoints that allow both humans and agents to interact with our infrastructure safely. You will build the high-performance plumbing that powers our transition to an agent-ready platform.

At Everlaw, engineering is central to our mission of promoting justice by illuminating truth. Our customers rely on us to handle mission-critical, highly confidential data in commercial and FedRAMP-regulated environments, and our release infrastructure is a key part of that trust.

This is a full-time, on-site position located in Oakland, California with an expected hybrid schedule of 3 days/week in the office and 2 days/week at home.

Getting started

• We want you to feel like part of the team early on! Our onboarding process will integrate you into the company with informative sessions on our product, policies, processes, and team structure and goals. 
• We’re excited for you to learn, grow, and contribute right away! We trust that you’ll bring experience and knowledge that will uplift and uplevel the team, but we don’t expect you to know everything on Day 1.

About the Release Team

The Release team in Platform Engineering owns the “path to production” for the entire Everlaw engineering organization. We are responsible for:

• The Build: Managing compilation and packaging for our large JVM monorepo and related services.
• The Pipeline: Operating the CI/CD systems that validate and promote changes across FedRAMP and commercial environments.
• The Future: Making the release platform “agent ready.” That means refactoring our infrastructure to be deterministic, API-driven, and structurally transparent so AI agents can reason about changes without hallucinating, and can act within well-defined safety guardrails.

You’ll work closely with Product Engineering, Security Engineering, and our emerging AI/Agentic DevEx efforts to make shipping changes to Everlaw faster, safer, and more automatable.

In your role, you'll...

Modernize and Scale Core CI/CD and Build Performance

Your first mandate is to make our existing release platform fast, reliable, and observable.

• Reduce build and test times: Dive deep into Gradle/Bazel configurations and our Java build graph to improve cache hit rates, parallelism, and resource utilization for our monorepo.
• Increase signal quality: Systematically identify and eliminate flaky tests and unstable infrastructure in our CI pipelines so that a “green build” is a highly trustworthy signal.
• Automate compliance: Build automations that generate FedRAMP and other audit artifacts from our pipelines (e.g., change logs, approvals, evidence of controls), reducing manual toil while improving our compliance posture.
• Measure what matters: Instrument CI/CD and release workflows with metrics and dashboards for latency, reliability, cost, and failure modes, and drive concrete improvements from those insights.

Evolve Toward Automated & Agentic Workflows

Full AI agent integration is a longer-term goal. As we mature our release platform, you’ll help lay the groundwork for “agent-ready” infrastructure by:

• Improving data hygiene: Gradually shifting logs and build outputs from unstructured text toward structured, traceable formats, making debugging easier for humans now and enabling future automation.
• Encouraging API-first operations: When building new tools or refactoring pipelines, leaning toward clear, idempotent APIs instead of ad‑hoc “click‑ops” or one‑off scripts, so we reduce toil today and keep the door open for safe orchestration later.
• Strengthening automated guardrails: Supporting efforts to replace purely human-dependent review steps with policy and safety checks in code, speeding up releases now and defining the boundaries future automation must respect.
• Improving machine-friendly observability: Helping ensure that build and release failures emit clear, parsable signals instead of opaque “red builds,” enabling better automated triage over time.

Execute on Infrastructure as Code

• Own release infrastructure as code: Use tools like Terraform and Helm to define and evolve the infrastructure that powers our builds and deployments (runners, clusters, queues, controllers, supporting services).
• Maintain and scale environments: Manage configuration drift, health, and scaling of our pre-production and production deployment targets, with a focus on safety and repeatability.
• Enable safe, frequent deployments: Help design and roll out deployment strategies (e.g., blue/green, canary, feature-flag-driven rollouts) that balance rapid delivery with reliability across multiple environments, including regulated contexts.
• Support ephemeral environments: Design and support PR- or feature-scoped ephemeral environments for safe, isolated validation of changes (including agent-generated changes), building on existing environment primitives.
• Participate in on-call: Join an on-call rotation for critical release and platform incidents, and help improve runbooks, automation, and post-incident learnings.

Lead, Mentor, and Collaborate

• Lead multi-developer efforts: Drive complex projects end-to-end: scoping, technical design, execution, rollout, and post-launch improvements in partnership with your Engineering Manager and peers.
• Mentor others: Provide technical mentorship on CI/CD, IaC, and agent-ready infrastructure; review designs and code; and help grow expertise across Platform and Product Engineering.
• Partner across teams: Collaborate with Product, Security, SRE, and AI/Agentic DevEx to ensure our release platform meets the needs of both developers and customers.

About you

You are a builder, not just a maintainer. You prefer writing a plugin, CLI, or automation over manually clicking through a console, and you have a track record of automating away your own toil.

You have:

• 5+ years of software engineering experience with a focus on Release, DevOps, or Platform Engineering in cloud-based systems.
• Strong proficiency in Java or a similar statically-typed language, and comfort scripting in Python and/or Bash.
• Deep, hands-on experience with build tools such as Gradle, Bazel, or Maven at scale (large codebases, many modules, complex dependency graphs).
• Experience managing cloud infrastructure (AWS preferred) using Terraform or similar IaC tools.
• Experience operating modern CI/CD platforms (e.g., GitHub Actions, Harness, GitLab CI, or similar) and improving their performance, reliability, and ergonomics.
• Strong fundamentals in data structures, algorithms, and system design, and familiarity with distributed systems and networking concepts.
• Excellent communication and collaboration skills, and demonstrated experience leading multi-developer efforts, including planning and technical breakdown.

You are:

• Someone who values “boring” reliability: you take pride in pipelines that run thousands of times without failure, and you build in error handling, retries, and idempotency by default.
• Excited about AI and agents, even if you are not training models yourself. You understand that for AI agents to be effective, the underlying infrastructure must be deterministic, observable, and API-driven, and you are motivated to build that foundation.
• Please note that at this time, Everlaw is not sponsoring U.S. employment visas for this role. Due to federal contract requirements, Everlaw may only hire US citizens for this position.

PLUSES

• Experience with Open Policy Agent (OPA) and policy-as-code approaches.
• Experience working in regulated environments (e.g., FedRAMP, HIPAA, SOC 2) and familiarity with their change-management and audit requirements.
• Experience using AI coding assistants (e.g., GitHub Copilot, Cursor, Claude Code) and interest in integrating them into developer workflows and CI/CD tooling.
• Experience with Bazel and/or multi-language monorepos.
• Contributions to open-source CI/CD, release, or IaC tooling, or public speaking/writing on developer productivity or release engineering.

Benefits

• The expected salary range for this role is between $188,000 and $251,000. The final offered salary will be dependent upon many factors including the candidate’s experience and skills. The base pay range is subject to change in the future.
• Equity program
• 401(k) retirement plan with company matching
• Health, dental, and vision
• Flexible Spending Accounts for health and dependent care expenses
• Paid parental leave and approximately 10 days (80 hours) per year of sick leave
• Seventeen paid vacation days plus 11 federal holidays
• Membership to Modern Health to help employees prioritize mental health and wellness
• Annual allocation for Learning & Development opportunities and applicable professional membership dues
• Company-sponsored life and disability insurance
• Find out more about our Benefits and Perks

Perks

• Work in Uptown Oakland, just steps from the BART line and dozens of restaurants and walking distance to Lake Merritt
• Flexible work-from-home days on Tuesdays and Fridays
• Monthly home internet reimbursement
• Select your preference of hardware (Mac or PC) and customize your desk setup
• Enjoy a wide variety of snacks and beverages in the office
• Bond over company-wide out-of-the-box events and fun activities with your team
• Time off for company-sponsored volunteer events and 4 paid hours per quarter to volunteer at a charitable organization of your choice
• Take advantage of learning and career development opportunities 
• Ranked #9 on Glassdoor's Best Places to Work 2023 for US small and medium companies
• One of Wealthfront’s 2021 Career Launching Companies, and ranked #2 on the “2022 Bay Area Best Places to Work” list by the San Francisco Business Times and the Silicon Valley Business Journal
• One of Fast Company’s World's Most Innovative Companies for 2022 and proud contributor of free ediscovery resources to benefit the greater good through “Everlaw for Good”
• #LI-SN1
• #LI-Hybrid

We are seeking a Senior DevOps & Site Reliability Engineer to own the reliability, scalability, performance, and operational excellence of Medeloop’s platform. This role blends deep DevOps engineering—CI/CD pipelines, infrastructure as code, and cloud architecture—with SRE discipline: SLOs, incident management, capacity planning, observability and a relentless focus on system uptime. You will be the bridge between development and operations, ensuring our clinical research products are always available, performant, and secure for the healthcare organizations that depend on them.

What You'll Own

Cloud Infrastructure & Architecture

• Design, implement, and manage scalable, secure, and highly available cloud infrastructure on AWS - infrastructure as code (IaC) using AWS CDK, CloudFormation, or Terraform, ensuring all environments are version-controlled and reproducible.
• Architect multi-region and disaster recovery strategies that meet healthcare uptime requirements.
• Manage containerized workloads using Docker and Kubernetes, optimizing for cost, performance, and resilience.

Site Reliability Engineering

• Define, implement, and monitor Service Level Objectives (SLOs) and Service Level Indicators (SLIs) across all production services.
• Build and maintain observability stacks (DataDog, AWS CloudWatch, Sentry) covering metrics, logs, traces, and alerting.
• Lead incident response: triage, mitigate, and drive blameless post-incident reviews with actionable follow-ups.
• Conduct capacity planning and performance engineering to ensure the platform scales ahead of demand.
• Champion error budgets and use them to balance feature velocity with system stability.
• Identify, assess, and mitigate operational risks by collaborating with engineering and product teams to evaluate impact and likelihood before they become incidents.
• Participate in and help structure an on-call rotation, ensuring clear escalation paths and fair distribution of after-hours coverage.

CI/CD & Automation

• Build self-service tooling and runbooks that reduce toil and empower development teams to ship independently.
• Design and maintain CI/CD pipelines (GitHub Actions) that enable fast, safe, and repeatable deployments.
• Automate security scanning (SAST, DAST) within pipelines and collaborate with engineering to remediate findings.
• Implement progressive delivery strategies such as canary deployments, blue-green releases, and feature flags.
• Proficiency in scripting languages (Python, Bash) for automation, troubleshooting, and building reliability tooling.
• Track and drive down operational toil, targeting less than 50% of team time spent on repetitive manual work.
• Evaluate and manage change risk for production deployments, maintaining change review processes that balance speed with stability.

Security & Compliance

• Ensure infrastructure meets healthcare compliance standards (HIPAA, SOC 2) through policy-as-code, encryption, and access controls.
• Manage networking security (VPCs, subnets, security groups, WAFs) and identity/authentication systems (AWS Cognito, Auth0, OAuth2, SSO).
• Conduct regular security reviews, vulnerability assessments, and patching across the infrastructure estate.

Collaboration & Culture

• Partner closely with product and engineering teams to embed reliability thinking into the software development lifecycle.
• Develop and maintain comprehensive documentation for infrastructure, runbooks, and operational playbooks.
• Mentor junior engineers on DevOps and SRE best practices, fostering a culture of ownership and continuous improvement.
• Stay current with advancements in cloud technologies, DevOps tooling, and SRE methodologies.
• Own and evolve internal developer platform tooling — including deployment workflows (GitOps/Flux), bug tracking integrations, and developer self-service portals.

What We're Looking For

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• 7+ years of combined experience in DevOps and/or Site Reliability Engineering roles, with at least 2 years in a senior capacity.
• Deep proficiency with AWS services
• Deep experience with observability and monitoring platforms such as DataDog, AWS CloudWatch, and Sentry.
• Strong experience building and maintaining CI/CD pipelines with GitHub Actions or equivalent tools.
• Expertise in infrastructure as code using AWS CDK, CloudFormation, or Terraform.
• Hands-on experience with containerization (Docker) and orchestration (Kubernetes).
• Proven track record of defining and operating against SLOs/SLIs and managing incident response processes.
• Solid understanding of networking (VPCs, subnets, load balancing, DNS), security, and compliance best practices.
• Experience with authentication and authorization systems including AWS Cognito, Auth0, OAuth2, and SSO.
• Proactive, self-directed mindset with a bias toward action and taking initiative.
• Excellent problem-solving skills and the ability to work independently as well as collaboratively across teams.
• Strong communication skills—able to explain complex infrastructure decisions clearly to technical and non-technical stakeholders.
• Passion for unsolved challenges in healthcare AI, with the ability to thrive in a fast-paced, multidisciplinary environment and wear multiple hats.

Bonus Points

• Multi-cloud experience (AWS, Azure, GCP)
• Familiarity with healthcare data standards, compliance, and protocols such as HIPAA, HL7 FHIR, OMOP, and i2b2.
• Experience with chaos engineering practices and tools (e.g., AWS Fault Injection Simulator, Gremlin).
• Prior experience in a healthcare or life sciences company operating under strict regulatory requirements.
• Contributions to open-source infrastructure or SRE tooling.
• Relevant certifications such as AWS Solutions Architect, Certified Kubernetes Administrator (CKA), or Google SRE certification.

Why Medeloop

• Ownership from day one: small team, high-trust, no layers between your work and its impact
• Technically ambitious: you'll build AI-powered workflows, not just support them
• Real-world stakes: your work accelerates drug development, addresses health equity, and improves clinical research for institutions that matter
• Strong foundation: Series A, top-tier investors, and a data asset (200M+ patient records) that most companies spend years trying to build

PsiQuantum’s mission is to build the first useful quantum computers—machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems. 

Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries. 

Our architecture and approach is based on silicon photonics. By leveraging the advanced semiconductor manufacturing industry—including partners like GlobalFoundries—we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photons don’t feel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure. 

In 2024, PsiQuantum announced government-funded projects to support the build-out of our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives reflect a growing recognition that quantum computing will be strategically and economically defining—and that now is the time to scale. 

PsiQuantum also develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies—including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical—to prepare quantum solutions for real-world impact. 

Quantum computing is not an extension of classical computing. It represents a fundamental shift—and a path to mastering challenges that cannot be solved any other way. The potential is enormous, and we have a clear path to make it real. 

Come join us. 

Job Summary:

Quantum computing promises to solve many important problems that could never be solved on any conventional computer. At PsiQuantum we’re building a general-purpose silicon photonic quantum computer to tackle these very problems.

PsiQuantum is looking for an experienced and highly motivated DevOps engineer who can architect and optimize large scale research & development repositories utilised in a range of applications in the design/build/validation process for photonic chip design and tape out. Quantum computing requires breakthrough engineering innovations; we expect a software platform that integrates many industry standard components with novel and custom software designed to be automated, reduce errors and scaled. Being a startup in an all-new engineering field, the role is expected to be highly collaborative and requires excellent technical skills to execute projects to meet milestones and technical scope.

An ideal DevOps Engineer is a hands-on automation expert who designs, builds, and maintains scalable, secure, and reliable software delivery pipelines. They possess deep experience with Git-based repository management (branching strategies, code reviews, access controls), CI/CD platforms, and Infrastructure as Code tools. The ideal candidate understands containerization and orchestration, artifact management, dependency governance, and secure supply chain practices. They proactively improve developer experience by reducing build times, increasing deployment frequency, and implementing robust testing and rollback strategies. Strong Python skills, cloud platform expertise and observability knowledge are essential. Beyond technical ability, they demonstrate ownership, clear communication, and a continuous improvement mindset, collaborating closely with development, security, and operations teams to deliver resilient, compliant, and high-performing release workflows.

Responsibilities:

• Repository Management:Architect, Consolidate, Configure and maintain repository security, access controls, branch policies, and branching/merging strategies.
• CI/CD Pipeline Development:Design, implement, and maintain automated Continuous Integration and Continuous Deployment (CI/CD) pipelines.
• Infrastructure as Code (IaC):Use tools like Terraform, Ansible, or CloudFormation to provision and manage cloud/hybrid infrastructure.
• Automation:Automate code testing, security scanning, and deployment tasks to increase release speed and accuracy.
• Collaboration & Support:Work with developers to optimize workflow, troubleshoot build failures, enhance and maintain code quality, and provide technical support for tools.
• Monitoring & Security:Monitor system performance, logs, and security, ensuring compliance with standards.

Experience/Qualifications:

• Bachelors or other advanced degrees in Computer Science or related engineering fields.
• Experience in production software engineering or DevOps role
• Experience with complex software development projects for custom test solutions, hardware interfaces, and platform level firmware/software OR experience developing complex experimental systems in the case of recent college graduates.
• Source Control:Expertise in Git and platforms like GitHub, GitLab, or Azure DevOps.
• Scripting/Languages:Expert level in Python. Rust, TypeScript, C++ are nice-to-haves.
• CI/CD Tools:Experience with Jenkins, GitLab CI, GitHub Actions, or Azure Pipelines.
• Cloud Platforms:Working knowledge of AWS, Azure, or Google Cloud Platform.
• Containerization:Proficiency with Docker and Kubernetes.
• Proven team player with an ability to work effectively across departments, sites, time zones.
• Excellent verbal and written communication skills with an ability to communicate effectively to a variety of audiences.
• Strong critical thinking, creative, innovative, analytical, and detail-oriented problem-solving skills.
• Proven track record of impactful results.
• Ability to work independently with limited direction.
• Demonstrated ability to lead and juggle multiple priorities and deliver against a schedule.
• Demonstrated interest in quantum computing
• Ability to contribute to a fast-paced start-up environment.

Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to recruiting@psiquantum.com.

We are not accepting unsolicited resumes from employment agencies.

The Company:

Faraday Future (FF) is a California-based mobility company, leveraging the latest technologies and world’s best talent to realize exciting new possibilities in mobility. We’re producing user-centric, technology-first vehicles to establish new paradigms in human-vehicle interaction. We’re not just seeking to change how our cars work – we’re seeking to change the way we drive. At FF, we’re creating something new, something connected, and something with a true global impact.

Your Role:

As a Senior Engineering Manager (Frontend), you’ll lead the development and launch of consumer-facing web applications and the backend-for-frontend (BFF) / service-proxy layer that powers them. You’ll make architecture decisions, ship iteratively, and set engineering quality bars across the stack.

• Lead end‑to‑end ownership of major web features—from technical discovery and architecture to implementation, testing, deployment, and post‑release iteration.
• Build performant, accessible React/Next.js + TypeScript UIs; apply SSR/SSG pragmatically, instrument analytics, and support experimentation/A‑B testing.
• Design and implement reliable REST/GraphQL APIs and BFF services; enforce clear contracts, versioning, and strong observability.
• Drive performance, security, and reliability at scale (Core Web Vitals, caching/CDN, rate limiting, logging/metrics/tracing, incident response).
• Mentor engineers, review designs/code, and collaborate with Product/Design to translate requirements into high‑quality, incremental releases.

Basic Qualifications:

• Bachelor’s degree or above in Computer Science, Software Engineering, or a related discipline (or equivalent practical experience).
• 10+ years building and operating production web applications and services; 3+ years leading technical delivery and/or architecture.
• Strong programming in TypeScript/JavaScript and at least one backend stack (Node.js or Java); deep understanding of HTTP, API design, and web security.
• Hands‑on with modern web tooling (React, Next.js), automated testing, and CI/CD; proficiency with Docker and a major cloud (AWS preferred).
• Solid data/systems skills: relational and NoSQL stores, caching (Redis), message queues, and performance optimization.

Preferred Qualifications:

• Professional working proficiency bilingual in Mandarin.
• Frontend: React 18+/TypeScript, Next.js; modern state/data (Redux Toolkit, TanStack Query); accessibility (WCAG); testing (Jest/Vitest, Testing Library, Playwright/Cypress).
• Backend: Node.js (NestJS/Express/Fastify) or Java (Spring Boot); REST/GraphQL; BFF pattern; messaging (Kafka/RabbitMQ); caching (Redis).
• Cloud: AWS (Lambda, API Gateway, ECS/EKS, CloudFront, S3, RDS/Aurora/DynamoDB, IAM) and IaC (CloudFormation or Terraform).
• CI/CD & DevOps: GitHub Actions/GitLab CI/Jenkins; trunk‑based development; blue/green or canary deployments.
• Observability & Security: Open Telemetry; Prometheus/Grafana or Datadog/New Relic; OAuth2/OIDC; OWASP best practices; secrets management.
• Data: PostgreSQL/MySQL; MongoDB; schema design and query tuning.
• CRM & Integrations: SAP, Salesforce, or similar.

Salary Range:

($160K-$200K DOE) plus benefits and incentive plans

 Perks + Benefits

• Healthcare + dental + vision benefits (Free for you/discounted for family)
• 401(k) options
• Casual dress code + relaxed work environment
• Culturally diverse, progressive atmosphere

Faraday Future is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Penske Media Corporation (PMC) is currently seeking a Full Stack Engineer to join our engineering team and work on our WordPress and Laravel systems while applying artificial intelligence to modern web development.

This role is ideal for an engineer early in their career who is excited to grow their skills across the stack, learn from more experienced teammates, and use AI-assisted tools to improve productivity, code quality, and understanding of complex systems. You will work with established patterns, existing architecture, and close guidance while gradually increasing your scope and independence over time.

You’ll help us maintain high-quality, reliable websites and collaborate with a thoughtful, inclusive team that values learning, respect, and tackling meaningful problems together.

You will have the chance to work on some of the largest, trusted brands in entertainment and fashion news, including Variety, Billboard, Deadline, WWD, and The Hollywood Reporter.

What You’ll Do:

You will contribute to real production systems while being supported by senior engineers and established processes.

Responsibilities include:

• Develop and maintain WordPress plugins and Laravel applications using existing patterns and best practices
• Build and enhance frontend features using TypeScript, React, and NextJS, focusing on responsiveness, performance, and accessibility
• Contribute to AI-powered features (such as editorial tools or automation) by implementing well-defined components and integrations
• Collaborate with product managers, designers, and engineers to understand requirements and deliver scoped solutions
• Work with APIs connecting WordPress, Laravel, and external services, following existing designs
• Participate in CI/CD workflows using GitHub Actions and Jenkins, and learn how our deployment pipelines work
• Use Docker-based development environments and assist with deployments to AWS-hosted infrastructure
• Support infrastructure and observability efforts by following documented processes and contributing small improvements
• Write tests, documentation, and pull requests, and participate in code reviews as a learner and contributor
• Assist with troubleshooting and bug fixes affecting production websites, with guidance from teammates
• Participate in team on-call rotations after onboarding, with backup and support from senior engineers

What We’re Looking For:

We don’t expect you to have experience with everything listed below. This role is designed for growth, and we value curiosity, learning ability, and collaboration.

Required / Core Skills:

• Experience with PHP and familiarity with WordPress or Laravel (professional, academic, or personal projects)
• Basic experience with JavaScript and modern frontend development (TypeScript or React experience is a plus)
• Familiarity with Git and collaborative development workflows
• Hands-on experience using AI-assisted development tools (such as coding assistants, AI-powered IDEs, or automated refactoring tools) as part of your regular development workflow, with an interest in learning how to apply them effectively in production environments
• Understanding of web fundamentals such as HTTP, TLS, REST APIs, and relational databases
• Awareness of accessibility and SEO best practices, with a desire to learn more
• Ability to take feedback well, ask questions, and communicate clearly with teammates

Nice to Have (Not Required):

• Exposure to TypeScript, NextJS, or modern React patterns
• Experience using Docker or cloud platforms (AWS or similar)
• Familiarity with automated testing or CI/CD pipelines
• Familiarity with secure development practices (OWASP Top 10, XSS, CSRF, SQL injection, authorization concepts)

How You’ll Grow in This Role:

• You’ll start by working on well-scoped tasks and bug fixes with clear guidance
• Over time, you’ll take ownership of small features and components
• You’ll learn how we use AI tools to improve development speed and quality
• As your skills grow, your level of independence and responsibility will increase in line with our engineering career ladder

This role aligns with early-career engineering expectations and provides a clear path for progression within our Individual Contributor track. While this role works on the same systems as more senior engineers, expectations around autonomy, decision-making, and technical leadership are intentionally scoped to an early-career level.

As PMC values in-person collaboration and team cohesion, employees work onsite 4 days a week and 1 day remotely with a focus on maintaining a vibrant and inclusive culture.

Typical wage range: $120k - $135k. Factors that could be used to determine your actual salary may include your specific skills, years of experience and comparison to current employees already in this role. If you have more or less experience than specified on this job posting, please apply and list your salary expectations.

If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors).

It’s all About You…

PMC's comprehensive benefits package is thoughtfully designed to support every aspect of your life, empowering you to thrive both personally and professionally. We offer PMC-Paid Healthcare with no employee paycheck contributions on medical, dental, and vision for you and your family. PMC also offers Flexible Spending Accounts (Healthcare, Dependent Care & Commuter), an Employee Assistance Program, Life Insurance, Short- & Long-Term Disability, Paid Parental Leave, and a 401(k) Retirement Plan with an Employer match. Employees are also eligible to take advantage of company discounts and perks including Pet Insurance, Home & Auto Insurance, Mortgage discounts, and a variety of other savings on wellness, lifestyle, and financial essentials. As part of PMC's dedication to consistently meeting employees’ needs, we are currently launching a new Flexible Vacation Policy.

At PMC, we believe working in a highly collaborative, office-first environment fosters real-time communication, spontaneous idea sharing, and stronger interpersonal relationships that drive innovation and team cohesion. PMC prioritizes in-person collaboration and does not offer remote-only roles.

The role 

At Wayve, you will help deliver the value of our breakthrough autonomous driving technology by ensuring our software systems are released reliably, on time, and with the stability needed to support fleet operations and product development. This means balancing fast-paced innovation with clarity, structure, and disciplined release practices.

We’re looking for someone pragmatic, methodical, and system-minded — someone who understands how releases fit into the broader engineering and product ecosystem, and who introduces processes and systems where they are needed to achieve stability, clarity, and business goals.

Key responsibilities:

• Release Planning & Coordination: Own release cycles, maintaining a steady and predictable shipment rhythm while adapting to business priorities.
• Issues & Change Management: Drive decisions on which issues or change requests must be included or deferred, balancing stability and speed.
• Bottleneck Identification & Improvement: Identify constraints in the release process (e.g. quality gaps, branching strategy, tooling) and drive improvements to resolve them. Implement dashboards and KPIs for program visibility, and proactively escalate gaps.
• Process & Systems building: Understand how releases fit into the wider system of engineering, operations, and model development, and build processes and frameworks that support clarity, stability, and business goals.
• Tooling & Automation Influence: Partner with SRE/DevOps to shape CI/CD, testing and release tooling. Defining requirements that improve developer experience and release efficiency.
• Cross-Functional Collaboration: Work closely with engineering, product, and operations teams to ensure successful and stable releases.
• Clarity & Communication: Act as the central point of contact for release status, risks, and timelines, keeping stakeholders informed at the right level of detail.
• Continuous Improvement: Run post-release reviews and drive corrective actions across teams.

About you  

In order to set you up for success as a Release Manager at Wayve, we’re looking for the following skills and experience.

Essential

• 5+ years in release management, software engineering, or a related field.
• Strong understanding of the Software Development Life Cycle (SDLC) and release management practices, including testing strategy, system integration, branching and versioning.
• Knowledge of configuration management including hardware configurations.
• Experience with CI/CD pipelines and automation tools (eg Github, Buildkite, CLI tools).
• Skilled at managing multi-platform releases.
• Strong problem-solving and decision-making ability in release trade-offs.
• Good communication skills, comfortable working with engineers and presenting to leadership.

Desirable 

• Experience in automotive, robotics, or AI industries.
• Experience managing system or bundle releases, including third-party software.
• Experience with Agile and DevOps methodologies.
• BSc or equivalent in Computer Science, Engineering, or a related technical discipline.

This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.