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

Your Role:

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

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

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

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

Your Opportunity:

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

What You’ll Need:

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

And Ideally:

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

#LI-LP1

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

The Opportunity

At Zeta Global, identity is at the core of our marketing cloud. The Identity team builds and operates backend services that power the Zeta Identity Graph - collecting, resolving, and maintaining billions of behavioral, demographic, and transactional signals. These services enable people-based marketing at scale, ensure trust and transparency in how identity data is managed, and provide critical APIs and event streams consumed across Zeta’s platform. Our systems support more than 235 million consumer profiles and process billions of events monthly, requiring services that are highly available, low-latency, and built to scale

We are looking for a Lead Software Engineer who brings strength in both backend distributed systems and data engineering. In this role, you’ll design APIs and event-driven services, scale our systems to handle rapidly growing data volumes, and modernize our platform for resilience, transparency, and performance.

You Will:

• Design and build backend services and APIs for identity resolution, graph transparency, and integrations.
• Develop and optimize event-driven pipelines and workflows processing billions of signals.
• Deploy and operate cloud-native services on EKS/Kubernetes, leveraging Helm for repeatable deployments.
• Ensure reliability, observability, and scalability across services and data pipelines.
• Collaborate across engineering, product, and data teams to deliver end-to-end identity solutions.
• Mentor engineers and influence architecture and roadmap

You Have:

• 5+ years of experience in backend and/or data engineering at scale.
• Strong skills in Python, Java, or Scala, with expertise in APIs, distributed systems, and event-driven design.
• Hands-on experience with Kafka (or similar), Spark/Hive/Flink, and workflow schedulers (Airflow/Luigi).
• Proficiency with Kubernetes (EKS preferred) and deployment practices (Helm, service meshes).
• Solid knowledge of SQL, data modelling, and cloud platforms (AWS).
• Familiarity with columnar / NoSQL databases (Aerospike, Snowflake, HBase, Scylla, Couchbase).
• Strong communication skills and a track record of driving technical direction and mentoring teams.

Bonus Skills:

• Experience with large-scale or multi-tenant distributed systems.
• Exposure to real-time streaming frameworks (Flink, Storm).
• Knowledge of open table formats (Iceberg, Hudi, Delta Lake).
• Background in security, compliance, or privacy related to identity systems.

BENEFITS & PERKS

• Unlimited PTO
• Excellent medical, dental, and vision coverage
• Employee Equity
• Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!

SALARY RANGE

The salary range for this role is $150,000 - $200,000, depending on location and experience. 

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

#LI-DD1

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

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

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

The ideal candidate for this role will have

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

Position Expectations

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

Success Measures

Within the first three months, you will have

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

Within six months, you will have

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

Within twelve months, you will have

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

About MongoDB

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

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

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

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

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

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

Req ID: 4263333172

The Opportunity

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

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

You Will

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

You Should Have

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

It’s a Plus If You Have

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

#LI-onsite

The opportunity: 

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

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

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

You will:

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

You should have:

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

It’s a plus if you have

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

#LI-onsite

The opportunity 

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

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

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

You will

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

You should have

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

It's a plus if you have

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

#LI-onsite

What We're Looking For

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

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

What You’ll Do

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

What You’ll Need

• Proficiency in React and either Go (Golang) or Python, with a preference for Go
• Strong understanding of software engineering principles and lifecycle
• Hands-on experience as a Fullstack Engineer in a SaaS technology company
• Proven ability to take ownership of key features and drive end-to-end development
• Communication and collaboration with engineers, product managers, and designers
• Ability to operate in high uncertainty and rapidly changing environments

Compensation

What We're Looking For

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

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

What You’ll Do

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

What You’ll Need

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

Compensation

The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!

Location:  Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.

What You’ll Do

• Develop and maintain highly interactive, large-scale and complex web-based visual analytics tools on AI/ML workloads.
• Design and implement creative and performant visualizations to assist in diagnosing issues or uncovering optimization opportunities in AI/ML inference and serving.
• Collaborate closely with hardware architects and compiler engineers to define, design, and implement effective visualization solutions enhancing their workflow.
• Develop high-performance visualization workflows by integrating independent graphics modules with micro-services to handle asset optimization, ensuring a non-blocking experience on the client.
• Continuously seek improvements to existing tools and develop new approaches to meet fast-evolving requirements.
• Stay up-to-date with the latest advancements in web development and visualization techniques.
• Contribute to the development of the documentation and user guides.
• Complete other responsibilities as assigned.

What You Bring

• Bachelor’s with 10+ years, or Master’s with 8+ years, or PhD's with 5+ years of industry experience.
• An innate drive to clarify deep technical complexity, balancing creative visualization with engineering rigor to build analytical tools that make interdependent hardware and software models intuitive without sacrificing logical precision.
• Strong experience in full-stack visual analytics software development, with a focus on building scientific or infrastructure visualization tools. Experience in AI model visualization integrated with PyTorch is a plus.

• Strong proficiency in modern frontend technologies like React and backend technologies like Node.js or Python-based frameworks. Experience in graph-based UI is a plus.
• Proven experience in WebGL/WebGPU based frameworks such as three.js or deck.gl. GLSL experience is a plus. Experience in WebAssembly with C++ is a plus.
• Excellent problem-solving skills and ability to think critically and creatively.

• Excellent communication and interpersonal skills.
• Ability to work independently and as part of a team.
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

#LI-VL1

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.

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

The Role 

We’re looking for a Senior Data Engineer to design, build, and operate the data pipelines and aggregates that power Zeta’s AdTech platform. This is a hands-on individual contributor role focused on high-scale batch + streaming data processing, reliable data products, and analytics-ready datasets that enable prediction, agentic workflows, BI reporting, and measurement. You will partner closely with backend, ML, and product teams to deliver trusted, well-modeled data with strong performance, quality, and observability. 

What You’ll Do 

• Build data pipelines: Develop robust batch and streaming pipelines (Kafka/Kinesis) to ingest, transform, and enrich large-scale event data (impressions, clicks, conversions, costs, identity signals). 

• Create data aggregates & marts: Design and maintain curated aggregates and dimensional models for multiple consumers—prediction models, agents, BI dashboards, and measurement workflows. 

• Data modeling & contracts: Define schemas, data contracts, and versioning strategies to keep downstream systems stable as sources evolve. 

• Data quality & reliability: Implement validation, anomaly detection, backfills, and reconciliation to ensure completeness, correctness, and timeliness (SLAs/SLOs). 

• Performance & cost optimization: Optimize compute/storage for scale (partitioning, file sizing, incremental processing, indexing), balancing latency, throughput, and cost. 

• Orchestration & automation: Build repeatable workflows with scheduling/orchestration (e.g., Airflow, Dagster, Step Functions) and CI/CD for data pipelines. 

• Observability for data systems: Instrument pipelines with metrics, logs, lineage, and alerting to accelerate detection and root-cause analysis of data issues.
• Security & governance: Apply least-privilege access, PII-aware handling, and governance controls aligned with enterprise standards.

Qualifications

• 5+ years building production data pipelines and data products (batch and/or streaming) in a high-scale environment.
• Strong experience with SQL and data modeling (dimensional modeling, star/snowflake schemas, event modeling). 

• Hands-on experience with streaming systems (Kafka preferred) and/or AWS Kinesis, including event-driven designs. 

• Proficiency in one or more languages used for data engineering (Python, Java, Scala, or Go). 

• Experience with distributed data processing (Spark, Flink, or equivalent) and performance tuning at scale. 

• Experience with AWS data services and cloud-native patterns (S3, Glue/EMR, Athena, Redshift, etc. as applicable). 

• Familiarity with lakehouse/table formats and large-scale storage patterns (e.g., Parquet; Iceberg/Hudi/Delta are a plus). 

• Experience with orchestration/workflow tooling (Airflow/Dagster/Step Functions) and CI/CD for data workloads. 

• Strong data quality/observability practices (tests, monitoring, lineage; understanding of SLAs/SLOs). 

• Experience with SQL + NoSQL data stores (e.g., Postgres/MySQL; DynamoDB/Cassandra/Redis) and choosing the right store per use case.
• Clear communicator and collaborator; able to work with mixed audiences and translate needs into reliable data interfaces. 

Preferred Experience

• AdTech / programmatic advertising domain knowledge: DSP/SSP/exchange/RTB concepts and data flows. 

• Experience building measurement pipelines (attribution, incrementality, lift, or experimentation analytics).
• Experience supporting ML feature stores, offline/online feature generation, or model training datasets. 

• Experience with real-time analytics stores (Druid/ClickHouse/Pinot) and high-cardinality aggregation strategies. 

• Deep knowledge of data governance/privacy, including PII handling and consent-aware data processing. 

• Open-source contributions, publications, or conference speaking. 

• BS/MS in CS/Engineering or equivalent practical experience. 

BENEFITS & PERKS

• Unlimited PTO
• Excellent medical, dental, and vision coverage
• Employee Equity
• Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!

SALARY RANGE

The salary range for this role is $165,000 - $175,000, depending on location and experience. 

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases

#LI-YW1

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

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

Your Role:

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

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

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

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

Your Opportunity:

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

What You’ll Need:

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

And Ideally:

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

#LI-LP1

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

Your Role:

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

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

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

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

Your Opportunity:

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

What You’ll Need:

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

#LI-LP1

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

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

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

The ideal candidate for this role will have

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

Nice to Have

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

Position Expectations

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

Success Measures

Within the first three months, you will have:

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

Within six months, you will have:

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

Within 12 months, you will have:

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

About MongoDB

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

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

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

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

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

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

REQ ID: 425547

ABOUT THE JOB 

We're seeking a full stack Security Software Engineer to develop novel security tooling for securing our suite of products including and detecting potential cybersecurity issues across embedded Linux systems and Android devices. The ideal candidate can develop across the the full stack - from Linux eBPF programs to cloud backends and everything in between.

WHAT YOU’LL DO 

• Design and develop cybersecurity tools for embedded Linux and Android systems.
• Build and maintain backend services with REST APIs running on cloud platforms.
• Create user-friendly frontends using React and TypeScript.
• Manage cloud infrastructure using Terraform and/or AWS CDK.
• Collaborate with cross-functional teams to identify security needs and implement solutions.
• Conduct code reviews and ensure adherence to security best practices.
• Stay updated on the latest security threats and technologies.

REQUIRED QUALIFICATIONS

• 5+ years of software development experience in some combination of Golang, Rust, Kotlin, and TypeScript.
• Proficiency in implementing application backends, including authorization, observability, REST APIs, and NoSQL data persistence.
• Strong experience with frontend development using React and TypeScript.
• Familiarity with cloud infrastructure management (Terraform and/or AWS CDK).
• Experience in mobile development, specifically on Android platforms.
• Understanding of cybersecurity principles and practices.
• Ability to obtain and hold a U.S. Secret security clearance.

PREFERRED QUALIFICATIONS

• Experience with embedded systems and Linux.
• Knowledge of security frameworks and compliance standards.
• Experience with Linux observability and eBPF.
• Experience with CI/CD and test automation, including for mobile devices.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.

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

Overview

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

What you’ll do

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

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

Location & Travel Expectations:

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

What you’ll bring 

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

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

Preferred:

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

What you'll gain

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

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

Pay Transparency

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

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

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

Internal leveling code: IC9

Overview

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

What you’ll do

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

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

Location & Travel Expectations:

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

What you’ll bring 

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

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

Nice to have

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

What you'll gain

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

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

Pay Transparency

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

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

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

Internal leveling code: IC8

What you’ll do

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

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

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

Location & Travel Expectations:

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

What you’ll bring 

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

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

Preferred:

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

What you'll gain

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

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

Pay Transparency

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

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

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

Internal leveling code: IC7

As an Astera Labs Physical Design Engineer (Place & Route) to play a crucial role in the planning, coordination, and execution supporting the design of Astera Labs' portfolio of connectivity ASICs used in the world's leading cloud service providers, server and network OEMs. This is a generalist physical design role requiring broad expertise across floorplanning, place-and-route, timing closure, and physical sign-off. You will work closely with designers, verification engineering, and engineering operations to drive blocks from RTL to GDSII. This role is fully on-site and in-person.

Basic Qualifications:

• Strong academic and technical background in electrical engineering. A Bachelor's degree in EE / Computer Engineering is required, and a Master's degree is preferred.
• 3+ years of experience supporting or developing complex SoC/silicon products for Server, Storage, and/or Networking applications.
• Professional attitude with the ability to prioritize a dynamic list of multiple tasks, plan and prepare for customer meetings in advance, and work with minimal guidance and supervision.
• Entrepreneurial, open-minded behavior and can-do attitude. Think and act fast with the customer in mind!

Required Experience:

• Hands-on and thorough knowledge of synthesis, place and route, timing, extraction, EM-IR, formal verification (equivalence) and other backend tools and methodologies for technologies 7nm or less.
• Block level ownership from architecture to GDSII, driving multiple complex designs to production.
• Experience with Cadence and/or Synopsys physical design tools/flows.
• Familiarity and working knowledge of SystemVerilog/Verilog.
• Proven expertise in developing/maintaining timing constraints, timing signoff methodology, timing closure at the block or full-chip level.
• Experience in working with IP vendors for both RTL and hard-macro blocks.
• Good scripting skills in Tcl, Python, or Perl.

Nice to Have Experience Includes:

• Knowledge of design for test (DFT).
• Familiarity with ECO methodologies and tools.
• Knowledge of LVS/DRC closures.
• Experience with high-speed SERDES or Ethernet PHY design integration.
• Experience with clock tree synthesis optimization.
• Familiarity with PCIe, CXL, or Ethernet connectivity protocols.

As an Astera Labs Physical Design Engineer (Place & Route) to play a crucial role in the planning, coordination, and execution supporting the design of Astera Labs' portfolio of connectivity ASICs used in the world's leading cloud service providers, server and network OEMs. This is a generalist physical design role requiring broad expertise across floorplanning, place-and-route, timing closure, and physical sign-off. You will work closely with designers, verification engineering, and engineering operations to drive blocks from RTL to GDSII. This role is fully on-site and in-person.

Basic Qualifications:

• Strong academic and technical background in electrical engineering. A Bachelor's degree in EE / Computer Engineering is required, and a Master's degree is preferred.
• 8+ years of experience supporting or developing complex SoC/silicon products for Server, Storage, and/or Networking applications.
• Professional attitude with the ability to prioritize a dynamic list of multiple tasks, plan and prepare for customer meetings in advance, and work with minimal guidance and supervision.
• Entrepreneurial, open-minded behavior and can-do attitude. Think and act fast with the customer in mind!

Required Experience:

• Hands-on and thorough knowledge of synthesis, place and route, timing, extraction, EM-IR, formal verification (equivalence) and other backend tools and methodologies for technologies 7nm or less.
• Block level ownership from architecture to GDSII, driving multiple complex designs to production.
• Experience with Cadence and/or Synopsys physical design tools/flows.
• Familiarity and working knowledge of SystemVerilog/Verilog.
• Proven expertise in developing/maintaining timing constraints, timing signoff methodology, timing closure at the block or full-chip level.
• Experience in working with IP vendors for both RTL and hard-macro blocks.
• Good scripting skills in Tcl, Python, or Perl.

Nice to Have Experience Includes:

• Knowledge of design for test (DFT).
• Familiarity with ECO methodologies and tools.
• Knowledge of LVS/DRC closures.
• Experience with high-speed SERDES or Ethernet PHY design integration.
• Experience with clock tree synthesis optimization.
• Familiarity with PCIe, CXL, or Ethernet connectivity protocols.

THE ROLE

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

WHAT YOU'LL DO

• Design and develop production-grade Agentic AI solutions using LLMs, multi-agent workflows, and RAG pipelines.
• Implement and refine Prompt Engineering strategies, including structured prompts, tool-calling, and agent orchestration to ensure reliable and deterministic AI behavior.
• Build secure backend services and REST APIs in Python, integrating AI agents with enterprise systems using microservices architecture.
• Establish robust guardrails, including output validation, fallback strategies, rate limiting, safe tool invocation, and human-in-the-loop patterns where appropriate.
• Develop and maintain model evaluation frameworks, including automated prompt testing, retrieval validation, regression testing, and performance benchmarking.
• Deploy and operate AI services on AWS, leveraging services such as EC2, S3, Lambda, RDS, and containerization using Docker and Kubernetes.
• Apply strong security best practices, including access control, data protection, audit logging, and secure API design.
• Ensure strong observability, monitoring, and reliability of AI-driven services in production.
• We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara, CA office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

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

Preferred Qualifications

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

#LI-ONSITE

#LI-TH3

THE ROLE 

As a Senior Software Engineer in Production Engineering, you will own the continuous integration (CI) and test-orchestration platform that enables FlashArray and FlashBlade teams to ship high-quality products at predictable velocity. This is a developer-first, highly visible role with real operational responsibility: you will design, build, and run the systems behind code merges and release operations, with a strong focus on developer experience. You’ll turn quality gates into automation instead of process, and use data and observability to continually improve reliability, throughput, and time to signal. You will work closely with engineering teams across the organization to accelerate Everpure innovation.

WHAT YOU’LL DO

• Design and implement CI and test-orchestration services, tools, and pipelines that provide fast, reliable, high-quality feedback for engineers across FlashArray and FlashBlade.
• Build and extend developer-facing automation (services, CLIs, APIs, scripts) that simplify onboarding, configuration, and debugging of CI and release workflows.
• Define and encode quality gates and signals (run rates, pass rates, flakiness thresholds, coverage, escape metrics) directly into CI and release systems.
• Develop and maintain metrics, queries, and dashboards that give clear visibility into CI and release health, and use them to drive targeted improvements.
• Integrate and evolve observability (metrics, logs, traces, alerts) for CI and test-orchestration services to reduce time-to-detect and time-to-resolve incidents.
• Participate in on-call duty rotations for CI and test-orchestration infrastructure; lead incident triage and mitigation, bring order to chaos, and ensure thorough follow-through on root-cause fixes.
• Lead or contribute to cross-functional projects with engineering teams and TPMs to improve CI and release quality, developer experience, and overall reliability.

WHAT YOU BRING

• Strong ownership and accountability, with the ability to collaborate and influence across teams and time zones, while continuously learning and helping others level up on CI and release operations, and keeping mainline branches healthy.
• Calm under pressure, leading high-impact incidents while maintaining focus and clarity.
• 8+ years of experience in software engineering, production engineering, SRE, or DevOps, including designing, building, and owning backend services or tooling (not just ad-hoc scripts), with proven experience leading technical projects or initiatives that span multiple teams or services, especially in CI, test, or release domains.
• Strong software engineering fundamentals and distributed systems understanding, with a track record of improving reliability, performance, or overall product quality.
• Proficiency in at least one modern programming language (e.g. Python, Go) and strong scripting skills (e.g. Bash, Python) for automation and diagnostics.
• Hands-on experience with CI concepts and tooling (e.g. Jenkins), including pipeline-as-code, job configuration (often via Groovy or equivalent DSL), managing multi-job CI workflows, and using database/analytics tools (e.g. SQL) and metrics to analyze and improve CI and release processes.
• Solid Linux/Unix fundamentals and demonstrated ability to debug issues across OS, network, storage, and application layers in production or CI environments.

#LI-Onsite

THE ROLE

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

WHAT YOU'LL DO

• Design and develop production-grade Agentic AI solutions using LLMs, multi-agent workflows, and RAG pipelines.
• Implement and refine Prompt Engineering strategies, including structured prompts, tool-calling, and agent orchestration to ensure reliable and deterministic AI behavior.
• Build secure backend services and REST APIs in Python, integrating AI agents with enterprise systems using microservices architecture.
• Establish robust guardrails, including output validation, fallback strategies, rate limiting, safe tool invocation, and human-in-the-loop patterns where appropriate.
• Develop and maintain model evaluation frameworks, including automated prompt testing, retrieval validation, regression testing, and performance benchmarking.
• Deploy and operate AI services on AWS, leveraging services such as EC2, S3, Lambda, RDS, and containerization using Docker and Kubernetes.
• Apply strong security best practices, including access control, data protection, audit logging, and secure API design.
• Ensure strong observability, monitoring, and reliability of AI-driven services in production.
• We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara, CA office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

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

Preferred Qualifications

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

#LI-ONSITE 

#LI-TH3

THE ROLE

As a Datastore Drive Qual Engineer, you will be the bridge between raw NAND silicon and high-performance storage solutions, ensuring our DirectFlash Modules (DFM) meet the rigorous standards of enterprise reliability. You will design the Python and C++ frameworks that exercise firmware at scale, transforming complex telemetry into the insights that greenlight volume production. Collaborating across firmware architecture and hardware teams, you will own the validation strategy that defines the next generation of data storage.

WHAT YOU'LL DO

• Architect Automated Qualification Frameworks: Design and scale Python and C++ test infrastructures that orchestrate drive-level qualification, ensuring firmware stability across performance, endurance, and reliability workstreams.

• Validate NAND & Firmware Ecosystems: Develop automated workflows to stress-test critical features—including media management, wear leveling, and ECC behavior—translating raw validation data into product-readiness dashboards.

• Drive Root Cause Analysis: Lead the technical triage of complex failures across the NAND and firmware layers, utilizing logs and telemetry to isolate issues and partnering with architecture teams to implement permanent fixes.

• Engineer Data Pipelines: Build and maintain high-integrity data collection pipelines that capture system logs and performance metrics, providing the visibility needed for final GA (General Availability) sign-off.

• Evolve Test Strategy: Continuously improve qualification methodologies and coverage metrics to keep pace with evolving controller architectures and NAND generations, reducing manual intervention through intelligent automation.

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

WHAT YOU BRING

• Storage Systems Expertise: Deep understanding of NAND flash fundamentals (program/erase behavior, error mechanisms, and data retention) and SSD firmware architecture, including FTL and garbage collection.

• Software Engineering Proficiency: Advanced development skills in Python and C++, with a proven ability to build robust automation frameworks, backend systems, or platform infrastructure.

• Protocol & Validation Mastery: Hands-on experience with NVMe tooling and storage protocols, alongside a track record of qualifying storage devices (SSD/HDD/DFM) through early silicon bring-up and stress testing.

• Analytical Debugging: Exceptional ability to dive into complex traces and telemetry to root-cause firmware and hardware interactions, coupled with the communication skills to drive cross-functional solutions.

• Systems Innovation: Experience designing and automating qualification methods that increase test coverage and quality indicators within a CI/CD or large-scale hardware/firmware environment.

 #LI-ONSITE

Why You'll Love This Role

At Cribl, we empower users with unprecedented observability, intelligence, and control over their real-time data. Our software is trusted by some of the largest organizations in the world, processing hundreds of terabytes to petabytes of IT and security data every day across hundreds of thousands of machines. 

As the Engineering Manager for Distributed Management, you'll lead the team responsible for components that keep multiple Cribl products reliable and scalable across the board. Our mission is to build and maintain common functionality that enables large-scale distributed deployments and node lifecycle management across Stream and Edge. Come help us ensure Cribl can be deployed and managed at any size!

This is a hands-on leadership role, requiring deep collaboration with developers, participation in design and requirements discussions, and regular engagement with the latest builds. You’re expected to become an expert in your team’s products and services, offering technical insights and strategic direction.

If you're passionate about fostering innovation, empowering teams, and making a significant impact in the world of data observability, we’d love to hear from you.

As An Active Member Of Our Team, You Will…

• Build, mentor, and manage a high-performing, cross-functional team of backend and frontend engineers working on large-scale distributed systems.
• Collaborate closely with other leaders and stakeholders to ensure alignment across cross-functional teams and achieve company-wide goals.
• Champion technical excellence by setting high standards and team norms for design, code quality, and system robustness.
• Partner effectively with Product Management, Architecture, and other teams to shape, prioritize, and execute the product roadmap.
• Balance immediate problem-solving with long-term strategic planning to drive sustainable innovation.
• Drive cross-team initiatives and projects from concept to completion.
• Take a hands-on approach when needed, providing code reviews, architecture guidance, and technical support to unblock the team.
• Attract, hire, and nurture top talent while promoting an inclusive and diverse team environment.
• Foster a culture where humans come first, people are set up to grow and advance, and the work is taken seriously without taking ourselves too seriously.
• This position will require stand-by, on-call, or off-hours duties

If You've Got It - We Want It

• Proven experience leading distributed, remote engineering teams with a focus on collaboration, effective delivery, and working well in a dynamic, Agile environment.
• A strong sense of ownership. You own outcomes, not just your backlog. You follow through on what matters even when it crosses team boundaries, and you know how to get things done without stepping on toes.
• Track record of helping teams ship customer-facing features quickly and iteratively, balancing speed with long-term architectural health.
• Demonstrated ability to hire, onboard, and mentor high-performing engineers, supporting all stages of software development and maintenance.
• Track record of establishing and promoting strong engineering practices and processes.
• Comfortable working directly with customers to troubleshoot technical issues and collaborate on feature enhancements.
• Background in high-scale distributed systems — data streaming, control plane, or node/fleet management at scale. Strong experience in TypeScript and Node.js a plus.
• Experience building and deploying production SaaS software, including ownership of observability and on-call responsibilities.
• Bachelor’s degree in Computer Science, Electrical Engineering, or equivalent practical experience, with 10+ years of industry experience.
• Ideal for managers who want to stay close to the technical work and grow their leadership skills without losing their engineering roots.
• At least 2+ years of experience in a technical leadership role as a team lead or engineering manager.

Salary Range ($200,000 - $300,000)

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-EL1
#LI-Remote

The Impact You’ll Be Contributing to Moloco: 

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

The Opportunity: 

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

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

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

The Impact You’ll Be Contributing to Moloco:

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

The Opportunity:

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

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

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

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

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

The Role

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

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

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

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

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

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

Why CHAOS?

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

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

#LI-onsite

About the Role

We are seeking an Engineering Manager, Performance Engineering to lead teams focused on improving the speed, scalability, and reliability of our web and mobile platforms. This role partners closely with application, platform, and data teams to ensure performance is built into system design, development workflows, and production operations.

You will set performance strategy, guide execution across the stack, and help teams turn performance insights into measurable improvements. This role values technical depth, thoughtful leadership, and cross-team collaboration.

Key Responsibilities

• Define and evolve the performance engineering strategy, establishing multi-quarter roadmaps aligned with business and customer experience goals.
• Lead end-to-end performance architecture across applications, services, infrastructure, and cloud platforms, ensuring performance is considered at every layer.
• Establish performance standards, KPIs, and benchmarking methodologies, including latency, throughput, error rates, and user experience metrics such as Core Web Vitals.
• Guide performance engineering practices for web and mobile, including load, stress, endurance, and real-user performance testing.
• Drive frontend and backend performance improvements, supporting optimization across APIs, services, databases, caching, networking, and application code.
• Design and evolve performance tooling, including profiling, tracing, telemetry, and benchmarking frameworks that provide actionable insights.
• Embed performance into development workflows, integrating measurement and regression detection into CI/CD pipelines.
• Partner with platform, application, and data teams, ensuring performance considerations are incorporated early in architecture and design decisions.
• Analyze and resolve complex performance issues, using structured experimentation, data analysis, and systems-level debugging.
• Lead and develop performance engineering teams, providing technical guidance, mentorship, and an inclusive, collaborative environment focused on continuous improvement.

Required Qualifications

• 7+ Years of professional experience in software engineering with more focus on performance engineering, system optimization, or reliability
• 3+ Years experience in a technical leadership or engineering management role
• Strong understanding of distributed systems and performance characteristics
• Proficiency in at least one general-purpose programming language (e.g., Go, Python, TypeScript)
• Experience with performance testing, benchmarking, and monitoring tools
• Ability to analyze performance data, design experiments, and translate findings into delivered improvements
• Strong communication skills and experience collaborating across frontend, backend, and platform teams

Preferred Qualifications

• Experience operating large-scale, consumer-facing or eCommerce systems
• Familiarity with frontend performance monitoring and Core Web Vitals
• Experience integrating observability, tracing, and metrics into production systems
• Background in cloud-native architectures and distributed infrastructure
• Experience building developer-facing performance tools or frameworks
• Familiarity with open-source performance or benchmarking ecosystems

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

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.

Senior Solution Sales Engineer - 

Position Description: 

We believe Solutions Engineers at Okta are involved in all stages of the customer’s development lifecycle and are experienced using presentations, email, phone and social media to connect with customers. We are looking for great teammates that can build sales presentations, product demonstrations, and educate customers (everyone from developers to product managers to C-level executives) on the best ways to cloud security technology.  We believe in Okta’s Solutions Engineers empathize with customers and quickly discern their true technical needs by asking detailed and clarifying questions and presenting solutions that target those needs. You have the rare combination of technical savviness and business insight and you’re looking for a career where you can utilize both. As a Senior Solutions Engineer at Okta, you will hone each of these skills by advising a diverse set of Fortune 500 customers on what is possible using Okta’s Identity Platform. 

Job Duties and Responsibilities:

• Collaborate with account executives to develop and execute territory and account strategies to maximize the Okta opportunity in those accounts
• Conduct research and discovery to understand customer requirements and communicate the business value of solving technology problems using cloud technology
• Execute the delivery of POCs for customers with complex use cases, collaborating with other Okta engineering teams as needed
• Craft technical content to show customers how to implement specific use cases or standard methodologies for new technologies
• Prepare and deliver demos to showcase how the Okta platform meets customer’s business needs and use cases.  
• Distill and communicate customer needs and product feedback to Product Management, Engineering, Marketing and Sales

Required Skills:

• 5+ years pre-sales engineering experience
• A passion to serve the customer, which has played out in some customer-facing role like consulting or support, ideally solutions engineering
• An ability to quickly and effectively communicate complex technical concepts via presentation, slides and whiteboard 
• A Strong Understanding of Identity & Access Management (IAM)
• SSO, MFA, SCIM, OAuth 2.0, OIDC, SAML, and LDAP.
• Lifecycle management, role-based access control (RBAC), and provisioning/deprovisioning.
• A strong understanding of Zero Trust Architecture and core security concerns within a typical application (password hashing, SSL/TLS, encryption at rest, XSS, XSRF)
• Hands-on experience in one or more of the following areas is a plus: web (JavaScript, HTML, frontend frameworks) development, mobile (iOS, Android) development, backend (Java, C#, Node.js, Python, PHP, Ruby) development, IP-based real-time communications
• Experience with cloud platforms: AWS, Azure, GCP.
• You are an elite communicator
• Can identify, map, and manage multiple personas: IT admins, CISOs, architects, procurement, and legal.
• Confident dispensing knowledge to a highly skilled and experienced audience
• Typically 10-25% travel
• Bachelor's degree in Engineering, Computer Science, MIS or a comparable field is preferred.

 This role requires in-person onboarding and travel to an office in the U.S. during the first week of employment.

#LI-hybrid

#LI-LSS1

P24454_3336681

The PAM Team

Ever wonder how large organizations make sure the right people can access their most critical systems? That's the problem the Okta Privileged Access Management (PAM)  team solves.

Our solution controls who can reach sensitive servers, databases and cloud resources and grants access only when it's needed. It is the security layer between people (and non-human-identities) and the systems they need to do their jobs.

The Staff Backend Engineer Opportunity

We are seeking a world-class Staff Engineer to help us architect and build the high-performance core of our non-human identity platform.

Your work, in close collaboration with our principal engineers and architects, will be the foundation of our strategy for managing privileged access in the modern enterprise. If you are a systems programmer who thrives on influencing the design of high-performance, concurrent, and resilient security software, this is the role for you.

What you’ll be doing 

• Contribute to Core Architecture: Partner with principal engineers and architects to design and implement a low-latency, high-throughput secrets engine for non-human identities
• Solve for Massive Scale: Write highly concurrent, performance-critical code capable of handling millions of machine-to-machine authentication and authorization requests
• Shape Technical Strategy: Play a key role in defining the long-term technical roadmap for scalability and performance, ensuring our platform can meet the demands of the largest enterprises
• Mentor and Elevate: As a senior engineer on the team, you will work with junior engineers to help them advance their SDLC expertise.
• On-Call: Participate in the rotational on-call activities with SRE and product development team

What you’ll bring to the role

• Required Experience:
  • 8+ years of professional software engineering experience, with a heavy focus on backend or systems-level development
  • Bachelor’s or Master’s degree in Computer Science, or equivalent practical experience
• Core Technical Expertise:
  • Deep, hands-on expertise in multi-platform Go development and building high-performance, concurrent applications
  • Experience designing or operating distributed systems
  • Experience with secure systems (authn/authz, encryption, TLS, token handling, PKI, CAs, diagnosing TLS issues)
  • Deep expertise in distributed storage systems, with a focus on replication, backup, and restore, and data management. (Postgres, etc.)
  • Direct experience designing, building, or contributing to a secrets management, service mesh, or machine identity platform
  • Expert-level at ergonomic API design (gRPC/openAPI), and building for reliability at scale
  • Deep knowledge of cloud-native infrastructure

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

• Experience at a leading Cybersecurity or Infrastructure-as-Code company
• Contributions to open-source projects in the identity, security, or infrastructure space

(P24952_3419318)

#LI-Hybrid 

#BB-1

The Solutions Engineer Team

We believe Solutions Engineers at Okta are involved in all stages of the customer’s digital transformation.  Solutions Engineers are experienced using presentations, email, phone and social media to connect with customers virtually and in-person. We are looking for great teammates who can build and deliver sales presentations and customized product demonstrations to help educate Okta’s Customers (everyone from developers to product managers to C-level executives) on best practices during their cloud security technology journey. We believe Okta’s Solutions Engineers empathize with Customers and quickly discern their true technical needs by asking detailed, clarifying questions while presenting solutions that specifically address those needs. Okta Solution Engineers have the rare combination of technical acumen and business insight; in a career where you can utilize both. As a Solutions Engineer at Okta, you will further develop each of these skills by advising a diverse set of customers on the value they will gain by using Okta’s Identity Platform.

The Solutions Engineer Opportunity

Reporting to the Senior Manager of Solutions Engineers Enterprise West, the Solutions Engineer is a functional business consultant,  with a passion for technology and the advanced ability to develop, position and demonstrate product-specific solutions during sales cycles, while achieving quarterly and annual sales goals for an assigned territory.

What you’ll be doing

• Work alongside the sales team as the technical and domain expert of a customer-facing sales team to help Customers understand the value of Okta’s solutions
• Understand customer challenges and business issues and provide product demonstrations to align our solutions with customer needs
• Answer product feature and technical questions from customers, partners and Okta colleagues
• Plan and deliver Proof Of Concepts for customers who have more complex use cases, collaborating with other Okta engineering teams as needed
• Provide feedback to product management about product enhancements that can address customer needs and provide additional value
• Share and learn best practices and re-usable assets with other Solutions Engineers to enhance the quality and efficiency of the team
• Stay current on competitive analysis and market differentiation
• Support marketing events including executive briefings, conferences, user groups, and trade shows
• At times, be asked to learn and lead your team as a subject matter expert (SME) with various product solutions and/or competitive knowledge

What you’ll bring to the role

• 8+ years pre-sales engineering experience and solution selling.
• A passion to serve the Customer, demonstrated in a customer-facing role, such as presales or professional services, but ideally in a pre-sales capacity.
• An ability to quickly communicate complex ideas around a technical topic, ideally on the fly, using a whiteboard.
• Deployed apps in cloud platforms: AWS, Azure, GCP, Vercel, etc.
• Experience with at least one standard network security protocol. (eg. OAuth, OAuth2, SAML, LDAP)
• Experience working with REST APIs and SDKs
• Hands-on experience in one or more of the following areas: web (JavaScript, HTML, frontend frameworks) development, backend (Java, C#, Node.js, Python) development, scripting (Bash, Powershell, Perl)
• An understanding of core security concerns within a typical application. (password hashing, SSL/TLS, encryption at rest, XSS, XSRF)
• You're an exceptional communicator, adept at simplifying complex technical concepts for diverse audiences, including highly skilled experts in large group settings.
• A confident and articulate presenter, you excel at sharing knowledge and insights with experienced technical professionals and large expert audiences.
• Demonstrated ability to effectively communicate complex technical information to highly skilled and experienced audiences, whether one-on-one or in large presentations.
• Territory management skills, including pipeline building and working with Sales counterparts to guide execution excellence
• Diagramming experience for user journey flows, complex architecture diagrams, etc.
• Typically 25% travel.
• Bachelor's degree in Engineering, Computer Science, MIS or a comparable field is preferred.

You ideally have

• Proven experience designing, implementing, and managing Privileged Access Management (PAM) solutions in enterprise environments.
• Deep understanding of the challenges and best practices associated with securing privileged accounts, including just-in-time (JIT) access, session recording, credential vaulting, and secrets management.
• Practical experience managing Windows Server, Active Directory, LDAP, and Federation services.
• Proficiency in UNIX/Linux, database security, network security, scripting, and DevOps practices preferred.
• Relevant experience with enterprise applications, security management, systems management, identity management, and/or policy management solutions, particularly in the areas of Identity and Privileged Access

P24432_3342674

LI -Remote

LI-LS

Senior Solution Sales Engineer - 

Position Description: 

We believe Solutions Engineers at Okta are involved in all stages of the customer’s development lifecycle and are experienced using presentations, email, phone and social media to connect with customers. We are looking for great teammates that can build sales presentations, product demonstrations, and educate customers (everyone from developers to product managers to C-level executives) on the best ways to cloud security technology.  We believe in Okta’s Solutions Engineers empathize with customers and quickly discern their true technical needs by asking detailed and clarifying questions and presenting solutions that target those needs. You have the rare combination of technical savviness and business insight and you’re looking for a career where you can utilize both. As a Senior Solutions Engineer at Okta, you will hone each of these skills by advising a diverse set of Fortune 500 customers on what is possible using Okta’s Identity Platform. 

Job Duties and Responsibilities:

• Collaborate with account executives to develop and execute territory and account strategies to maximize the Okta opportunity in those accounts
• Conduct research and discovery to understand customer requirements and communicate the business value of solving technology problems using cloud technology
• Execute the delivery of POCs for customers with complex use cases, collaborating with other Okta engineering teams as needed
• Craft technical content to show customers how to implement specific use cases or standard methodologies for new technologies
• Prepare and deliver demos to showcase how the Okta platform meets customer’s business needs and use cases.  
• Distill and communicate customer needs and product feedback to Product Management, Engineering, Marketing and Sales

Required Skills:

• 5+ years pre-sales engineering experience
• A passion to serve the customer, which has played out in some customer-facing role like consulting or support, ideally solutions engineering
• An ability to quickly and effectively communicate complex technical concepts via presentation, slides and whiteboard 
• A Strong Understanding of Identity & Access Management (IAM)
• SSO, MFA, SCIM, OAuth 2.0, OIDC, SAML, and LDAP.
• Lifecycle management, role-based access control (RBAC), and provisioning/deprovisioning.
• A strong understanding of Zero Trust Architecture and core security concerns within a typical application (password hashing, SSL/TLS, encryption at rest, XSS, XSRF)
• Hands-on experience in one or more of the following areas is a plus: web (JavaScript, HTML, frontend frameworks) development, mobile (iOS, Android) development, backend (Java, C#, Node.js, Python, PHP, Ruby) development, IP-based real-time communications
• Experience with cloud platforms: AWS, Azure, GCP.
• You are an elite communicator
• Can identify, map, and manage multiple personas: IT admins, CISOs, architects, procurement, and legal.
• Confident dispensing knowledge to a highly skilled and experienced audience
• Typically 10-25% travel
• Bachelor's degree in Engineering, Computer Science, MIS or a comparable field is preferred.

 This role requires in-person onboarding and travel to an office in the U.S. during the first week of employment.

#LI-hybrid

#LI-LSS1

P13951_3337053

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

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

The Opportunity

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

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

What You’ll Do

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

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

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

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

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

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

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

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

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

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

What You’ll Bring

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

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

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

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

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

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

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

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

Why Join Okta

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

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

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

#LI-MK1

#LI-hybrid

P24739_3355024

The Senior Solutions Engineer Opportunity

Reporting to the Senior Manager of Solutions Engineers, the Sr Solutions Engineer (Corporate New Business) is a functional business consultant,  with a passion for technology and the advanced ability to develop, position and demonstrate product-specific solutions during sales cycles, while achieving quarterly and annual sales goals for an assigned territory. A background in software development and experience with developer-centric identity platforms (such as Auth0) can be particularly impactful, enabling you to deeply understand and articulate the value of Auth0 by Okta from a technical implementer's perspective.

What you’ll be doing 

• Work alongside the Corporate/New Business (employee size 300-1249) sales team as the technical and domain expert of a customer-facing sales team to help Customers understand the value of Okta’s solutions
• Understand customer challenges and business issues especially those faced by development and product teams - and provide product demonstrations to align our solutions with customer needs.
• Answer product features and technical questions from customers, partners and Okta colleagues.
• Plan and deliver Proof Of Concepts for customers who have more complex use cases, collaborating with other Okta engineering teams as needed. This will include scripting and coding to showcase Auth0’s capabilities.
• Provide feedback to product management about product enhancements that can address customer needs and provide additional value.
• Share and learn best practices and re-usable assets with other Solutions Engineers to enhance the quality and efficiency of the team.
• Stay current on competitive analysis and market differentiation.
• Support marketing events including executive briefings, conferences, user groups, and trade shows.
• At times, be asked to learn and lead your team as a subject matter expert (SME) with various product solutions and/or competitive knowledge.

What you’ll bring to the role

• 8+ years pre-sales engineering experience.
• A passion to serve the Customer, demonstrated in a customer-facing role, such as consulting or support, but ideally in a pre-sales capacity.
• An ability to quickly communicate complex ideas around a technical topic, ideally on the fly, using a whiteboard.
• Deployed apps in cloud platforms: AWS, Azure, GCP, Vercel, etc.
• Experience with at least one standard network security protocol. (eg. OAuth, OAuth2, SAML, LDAP)
• Experience working with REST APIs, API Gateways, and SDKs
• Hands-on experience in one or more of the following areas: web (JavaScript, HTML, frontend frameworks) development, mobile (iOS, Android) development, backend (Java, C#, Node.js, Python, PHP, Ruby) development, IP-based real-time communications.
• Leverage your software development background to effectively communicate with technical audiences, including developers, architects, and DevOps engineers, translating their requirements into robust solutions.
• An understanding of core security concerns within a typical application. (password hashing, SSL/TLS, encryption at rest, XSS, XSRF)
• Exceptional communicator.
• Confident dispensing knowledge to a highly skilled and experienced audience, presenting to large rooms filled with experts in the field
• Territory management skills, including pipeline building and working with Sales counterparts to guide execution excellence.
• Typically 25% travel.
• Bachelor's degree in Engineering, Computer Science, MIS or a comparable field is preferred.

You might also have (not mandatory):

• Hands-on experience with Generative AI or LLM technology such as LangChain, GenKit, LlamaIndex, etc.
• Experience integrating with microservices, data lakes, or customer data platforms.
• Developed ReBAC or Fine Grain Authorization models.
• Diagramming experience for user journey flows, complex architecture diagrams, etc.

Preferred Experience (bonus points):

• Trusted Advisor in your sales region (Area Sales Director and Area Vice President)
• Experience leading highly strategic technical sales plays, targeting new account acquisitions, or transferrable experiences preferred.
• Creation of reusable artifacts to be adopted by the presales and/or sales community.
• Publication of thought leadership documentation externally annually.
• Technical leader among peers and a mentor to help grow others in the segment.

LI#Remote

LI#CM

P7161_3396398

(P24976_3406001)

#BB-1

#LI-Hybrid 

The Role

As an Applied AI Marketing Engineer, you will be a core, hands-on builder within the new Marketing AI Spoke team. You will function as the primary product owner and technical implementer for a specific portfolio of AI agents, workflows, and low-code/no-code applications. This role requires a blend of marketing acumen, technical aptitude, and problem-solving skills to translate complex business challenges into tangible, deployed, AI-driven solutions.

You will be responsible for the full engineering lifecycle—defining, developing, testing, and deploying high-impact initiatives that directly improve our marketing productivity, operational efficiency, and buyer experiences.

Responsibilities

• Marketing AI Solution Development: Patterning with TDI leveraging company-wide approved platform. Design, build, and maintain the underlying infrastructure and services required to run scalable AI applications for the Marketing organization. This includes connecting data sources, building APIs, developing front-end user interfaces (UI/UX), and engineering the backend logic.
• AI Agent & Workflow Engineering: Architect, code, test, and deploy AI agents and low-code/no-code workflows that solve critical marketing challenges. Ensure solutions are robust, secure, and seamlessly integrated into the existing AI stack (e.g., CRM, MAP, CMS).
• Agentic Strategy & Architectural Design: Act as the technical leader for your assigned portfolio, defining the architectural blueprints for new AI enabled workflows. Evaluate and recommend the appropriate technical tooling (e.g., cloud services, databases, low-code platforms) to maximize performance and minimize operational costs.
• Data and Prompt Engineering: Partner with data science and marketing ops teams to ensure data pipelines support AI application needs (RAG, fine-tuning). Design and iterate on effective prompts and input-output schemas to optimize the performance and reliability of large language model (LLM) agents.
• Value Measurement & System Optimization: Implement performance tracking directly into deployed platforms (instrumentation). Use technical metrics (latency, uptime, error rates) and business metrics (ROI, time saved) to justify system improvements and guide the marketing AI roadmap. 

What You'll Bring

• A Bias for Action and Iteration: Demonstrated passion for a test-and-learn philosophy, quickly prototyping and validating solutions to drive continuous improvement.
• AI-First Technology Mindset: Deep curiosity and commitment to leveraging AI and machine learning as foundational elements for building next-generation marketing tools and operational workflows.
• Marketing Domain Curiosity: A strong interest in marketing dynamics, customer behavior, and business outcomes, translating technical capabilities into tangible marketing value.
• Preferred Experience (A Strong Plus): Prior background in marketing operations, strategy, or experience working on tools/platforms utilized by large-scale marketing organizations.

Why You'll Love This Role

• Become the Architect of Change: You won't be maintaining existing systems; you will be building a new, high-impact function from the ground up. This is a chance for true architectural ownership over the next generation of our marketing operating model.
• Tangible and Immediate Impact: Your work on groundbreaking AI projects will have a direct, measurable impact on our business performance, customer experience, and efficiency. You will see your innovations adopted by hundreds of marketers and contribute to trillions in potential value.
• High-Visibility, Strategic Ownership: This role offers executive-level visibility as you directly shape the future of marketing strategy at Okta, moving the function from manual repetition to hyper-efficient, data-driven automation.

#LI-Hybrid
PID: P24412_3380938

The Solutions Engineering Team - *This is a customer facing sales role. You must be in the USA. You will be required to travel at least 25% and attend an in person onboarding session.*

The Global Presales organization at Okta brings together a diverse group of experts, including Solutions Engineers, the Office of the Field CTO, Alliances, Architects, and more, who combine deep technical expertise with strategic business insight. This team serves as trusted advisors to a wide range of customers and partners, helping them unlock the full potential of Okta’s Identity Platform. By asking insightful questions, understanding complex challenges, and delivering tailored solutions, we empower organizations to address their unique identity needs. Empathy, collaboration, and a relentless focus on customer success drive our work and set us apart.

The Senior Identity Specialist Opportunity

Reporting to the Senior Manager, Solutions Engineering, as a Senior Identity Specialist, you will be part of the presales team that delivers sales presentations and product demonstrations.  You will educate customers on the best ways to implement Okta customer identity and access management solutions. 

What you’ll be doing: 

Strategic Customer Engagement:

• • Support strategic customer conversations aligning with technical and engineering leaders and stakeholders.
  • Deliver on emerging trends, industry best practices, and identity-driven digital transformation.
  • Assist in preparing executive-level messaging and participate in strategic discussions to align Okta’s solutions with customer business outcomes.
  • Develop customer-centric points of view that translate Okta’s solutions to customer problems.
  • Lead deep technical Q&A discovery sessions for prospective customers to uncover their business requirements and communicate the value of solving for those requirements with Okta CIAM solutions.
  • Deliver interactive presentations and custom product demonstrations, tailoring communication to all levels of technical and customer identity expertise.
  • Whiteboard solution architecture, modeling how Okta’s CIAM solution will support their business requirements
  • Design, build, and execute well-defined, outcome-focused POCs
  • Maintain a broad and deep technical understanding of the Okta customer identity product lines and the underlying technologies and protocols
  • Craft engaging solution content to position Okta’s value across multiple business units, including software engineering, operations, product management, and business stakeholders

Technical Leadership:

• • Provide strategic and technical guidance to Solutions Engineering teams across both the Okta and Auth0 identity platforms.
  • Collaborate with the Global Office of Field CTO office team to deliver actionable insights from the field, validate customer needs, and identify recurring trends for the Okta Product & Engineering teams.
  • Deliver impactful keynote presentations, webinars, and technical sessions at industry and customer events.

Field Enablement and Collaboration:

• • Contribute to frameworks, tools, and content to support Solutions Engineering teams in executing effectively.
  • Partner with sales leadership to identify and address critical business opportunities and challenges.
  • Drive cross-functional collaboration to ensure seamless execution of global initiatives.
  • Innovate in tools and techniques to drive excellence and momentum
  • Partner with Enablement and Field CTO teams to drive regional events and align product messaging for regional GTM and SE teams.

Market Influence:

• • Represent Okta as a thought leader in the identity and security space.
  • Influence industry standards and participate in relevant technical advisory boards.

Innovation and Strategy:

• • Partner closely with OFCTO teams as an advocate for customer-driven innovation, market trends, and GTM insights to provide input to influence product teams.
  • Support, derive, and champion strategic initiatives that enhance Okta’s differentiation and business impact.

What You'll Bring to the Role

• 8+ years of experience in a presales or customer-facing role, including at least 3 years experience with CIAM projects
• 8+ years of development experience, preferably focused on application integration with identity services
• 8+ years of experience working with REST APIs and SDKs 
• Experience with customer identity and access management solutions (Okta/Auth0)
• Experience with authentication or authorization protocols (OAuth, OIDC, SAML)
• Ability to communicate complex ideas and solutions, incorporating whiteboarding, practical examples, and product demonstrations
• Demonstrated ability to solve complex technical problems with innovative solutions
• Strong communication and presentation skills, with experience contributing to technical events.
• Ability to effectively operate in a matrixed organization and manage cross-functional initiatives.
• Travel expectation: up to 40% for customer meetings, industry events, and internal off-sites.
• This is a remote position.

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

• Full-stack web application development experience (frontend and backend)
• Mobile (iOS, Android) development
• Demonstrated ability to architect and integrate scalable CIAM solutions, leveraging API-first approaches across web, mobile, and cloud platforms.
• Expertise in AI-driven customer experience integration with Auth0, including AI agents for internal or external use-cases, MCP servers, and Fine-Grained Authorization

#LI-Remote

#LI-CM

P24775_3365795

The Team: AI Frameworks & Services (AIFS)

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

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

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

The Opportunity

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

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

What You'll Do

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

What You Bring

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

Nice to Haves

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

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

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

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

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

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

Nice to Haves

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

Why You'll Love It Here

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

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

#LI-Hybrid

P23579_3266926

AI Engineer
Location: San Francisco, CA, in-office
Compensation: 150,000 – $210,000
Company: Cargomatic, Inc.

Disruptive, groundbreaking, transformative company is changing an industry

Join a rapidly growing company disrupting the trucking industry! Cargomatic is the #1 technology platform and digital marketplace for powering world-class, local trucking. Take a look around you. Literally everything humans build, grow, or sell has spent time on a truck. Local trucking is the lifeblood of every regional economy, and yet this $82 billion industry still relies heavily on phone calls and fax machines. Cargomatic is transforming the way goods move around every local node in the supply chain by connecting shippers and commercial truck drivers with mobile technology. We are solving complex, real-world problems every day, and giving full transparency to the shipping process. 

AI Engineer- Rapid Prototyping & Automation

Cargomatic is seeking a highly hands-on AI Engineer who thrives in fast-paced environments and is passionate about rapid prototyping and deploying standalone AI-driven applications. This role focuses on building agentic AI systems and automation tools that can operate independently, integrate with our ecosystem, and deliver immediate business value.

You will work at the intersection of AI, product development, and infrastructure- quickly turning ideas into working prototypes and scaling the most promising solutions into production.

Key Responsibilities:

• Rapidly design, prototype, and deploy standalone AI applications that solve real-world logistics and operational challenges
• Build and implement agentic AI systems capable of autonomous decision-making and task execution
• Develop AI-powered automation tools to streamline workflows across operations, customer experience, and internal processes
• Leverage modern LLM ecosystems, including Claude-based and code-first AI frameworks, to build intelligent agents and workflows
• Integrate LLMs, APIs, and data pipelines into production-ready services
• Collaborate with product, engineering, and operations teams to identify high-impact opportunities for AI solutions
• Iterate quickly based on feedback, performance metrics, and evolving business needs
• Ensure scalability, reliability, and security of AI systems in production environments
• Stay current with advancements in AI/ML, especially in agent frameworks, Claude/OpenAI ecosystems, and automation tooling (e.g., n8n)
• Implement guardrails, validation layers, monitoring, and evaluation frameworks to mitigate hallucination, prompt injection, and data security risks.
• Collaborate cross-functionally with Product, Engineering, and Operations to translate business needs into scalable AI-enabled solutions.
• Contribute to architectural standards, technical best practices, and innovation initiatives.

Preferences:

• Strong product builder mindset with an ability to prioritize high-impact solutions
• 3+ years of experience in software engineering, with a focus on AI/ML or automation
• Proven experience building and deploying AI-powered applications or prototypes end-to-end
• Strong understanding of agentic AI concepts, LLMs, and modern AI frameworks
• Hands-on experience with Claude (Anthropic), OpenAI, or similar LLM APIs, including prompt design and orchestration
• Experience with code-based AI frameworks (e.g., Claude tool use / function calling, LangChain, AutoGen, CrewAI, or similar)
• Experience building or orchestrating workflows using n8n (or similar tools like Zapier, Temporal, Airflow)
• Experience with event-driven architectures and real-time systems
• Familiarity with vector databases and retrieval-augmented generation (RAG)
• Proficiency in backend development using Node.js
• Experience with frontend frameworks such as React for building lightweight interfaces
• Hands-on experience with cloud infrastructure, particularly AWS (Lambda, ECS, S3, etc.)
• Familiarity with databases such as MongoDB and RDS (PostgreSQL/MySQL)
• Experience integrating third-party APIs and building microservices
• Ability to move quickly from concept → prototype → production
• Active GitHub contributions or demonstrated passion for emerging technologies in AI and data systems.

Benefits & Perks:

• Competitive compensation
• Medical, dental, and vision benefits
• 401K company match program
• Flexible paid time off (PTO) and paid holiday

About the Role

We are seeking an experienced Senior Software Engineer to join one or more product engineering teams building mission-critical Point of Sale and eCommerce SaaS platforms. This role balances technical execution, hands-on development, and cross-functional collaboration in a highly regulated, high-availability environment.

You will contribute to delivering secure, scalable, and reliable payment solutions while upholding a strong engineering culture.

Key Responsibilities

Technical Execution & Development

• Write, review, and maintain high-quality code across backend, frontend, and/or mobile systems.
• Uphold coding standards and architecture best practices.
• Participate in design and code reviews, contributing constructive feedback to peers.
• Contribute to technical documentation and architectural designs.
• Champion a culture of accountability, quality, and continuous improvement.

Cross-Functional Collaboration

• Communicate technical ideas and plans clearly in team settings.
• Translate product and business goals into well-scoped technical solutions.
• Communicate progress, risks, and tradeoffs to engineering teams and stakeholders.
• Work closely with customer support and operations on merchant-impacting issues.

Delivery & Engineering Excellence

• Partner with Product, Design, Compliance, SRE, and Operations to deliver POS, payment, loyalty, gift card, and other features end-to-end.
• Contribute to sprint planning, delivery predictability, incident follow-ups, and technical debt management.
• Implement and advocate for best practices in code quality, testing, observability, and CI/CD.
• Help guide architectural decisions for high-throughput, low-latency systems.

Cloud-Based Point of Sale & Platform Features

• Inventory Management and PO sync: Items matrices, Vendor Catalog, Purchase Order Management, Multi-store inventory.
• CRM: Customer details capture, purchase history tracking, targeted marketing campaigns, gift card management, and loyalty rewards.
• Sales & Promotions: Custom discounts, bulk pricing, time-sensitive promotions, and bundled offers.
• Reporting & Analytics: Detailed dashboards and exportable reports covering best-sellers, profit margins, and more.
• Employee Management: User roles, time tracking, permissions, and cross-location metrics.
• Payment: Integration with Quilt Payment or external payment providers.
• eCommerce Sync: Integration with Quilt's internal eCommerce module or platforms like Shopify and DoorDash.
• Support platform reliability, uptime, and data integrity for merchants and partners.
• Participate in incident response and post-mortems, contributing to long-term fixes.
• Support PCI DSS, SOC 2, and other compliance requirements.

Required Qualifications

• 5+ years of software engineering experience.
• Hands-on, full-stack development experience with React (frontend) and PHP/MySQL (backend) .
• Experience building and operating SaaS platforms at scale.
• Strong understanding of modern backend systems (APIs, microservices, databases, cloud infrastructure).
• Experience working in regulated or compliance-heavy environments with strong technical documentation practices.
• Effective communicator with the ability to collaborate across teams.

Preferred Qualifications

• Experience with POS systems, eCommerce, or fintech 
• Familiarity with PCI DSS, SOC 2, or financial compliance standards.
• Experience with cloud platforms (AWS, GCP, or Azure).
• Background in distributed systems, event-driven architectures, or real-time transaction processing.

What We Offer

• Opportunity to build software that powers real-world commerce at scale.
• Competitive salary and equity package.
• Comprehensive benefits (health, dental, vision, 401k, etc.).
• Flexible work environment.
• Strong emphasis on engineering quality and career growth.

Location: In-Person: Irvine, CA, Charlotte, NC or Provo, UT
Salary: 115-130k base Salary + Bonus

ABOUT THE JOB:

We are looking for Senior Software Engineers to join our Internal Tools team. As a Senior Software Engineer on Anduril’s Internal Tools team you will be architecting and implementing mission-critical applications that enforce lean business process, add multiplicative leverage to Anduril employees, and scale Anduril into a next-generation defense prime.

As a member of the internal tools team you will be an integral part of building out QualityOS—Anduril’s custom production quality management system. Your decisions will have a large impact on the company today and into the future. We are looking not only for a software engineer that has a knack for quickly understanding complex systems, but one that dives in and creates features driving bottom-line value for the business.

A Software Engineer in this role should possess strong collaborative skills to integrate seamlessly into a team focused on revolutionizing manufacturing through innovative tools and insights. The ideal candidate will have expertise in developing custom software solutions that optimize production processes, analyze manufacturing data, and drive industry-changing improvements.

WHAT YOU'LL DO:

• Work in a mini-startup environment to create elegant SaaS or on-premise solutions that are better than what current market solutions can offer.
• Level up our team’s applications through quality code contribution.
• Have an area of deep expertise in a portion of the full stack (i.e. backend, frontend, integration).
• Work with a high-functioning team of developers with an emphasis on finishing business-critical projects
• Automate company operations to drive bottom-line dollar savings

REQUIRED QUALIFICATIONS:

• Willingness to work with the team on-site on a rotation for shift 2 (~3pm - 11pm)
• 5+ years of experience in a software engineering role building products, ideally in a fast-paced environment
• Degree in Computer Science, Information Systems, Electrical Engineering or related technical degree
• Experience working with large enterprise applications and platforms with high availability requirements
• Proficiency with web-based technologies such as Javascript, React, Typescript, or other web-development frameworks such as Remix or NextJS
• Ability to empathize with end-users, to turn needs into features, and to balance user experience with engineering constraints
• U.S. Person status is required as this position needs to access export controlled data

PREFERRED QUALIFICATIONS:

• We encourage people from all backgrounds to apply but our tech stack uses AWS, Typescript, and React/Remix so familiarity with all of these tools will be particularly helpful
• Experience in hyper growth startup-like environments. Demonstrated successes in scaling and maturing software development processes, team culture and methods, and ability to balance short-term and long-term trade offs
• Eligible to obtain and maintain a U.S. TS/S clearance
• Experience with quality management & incident management systems (QMS)
• Experience leveraging SOTA AI models and agentic tooling for software development

ABOUT THE TEAM

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

ABOUT THE JOB

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

WHAT YOU'LL DO

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

REQUIRED QUALIFICATIONS

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

PREFERRED QUALIFICATIONS

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