Senior Software Engineer, Energy Storage

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

Responsibilities will include:

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

Desired Qualifications: 

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

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

Your Role:

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

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

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

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

Your Opportunity:

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

What You’ll Need:

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

And Ideally:

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

#LI-LP1

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

Your Role:
Tenable is seeking a Full Stack Software Engineer to join our core product engineering teams. You will help design, develop, and maintain cloud-native, large-scale cybersecurity products that protect organizations worldwide. Our platforms operate in complex, ever-changing environments and demand innovation in scalability, reliability, and performance. As a Software Engineer, you will work across the stack , building microservices, APIs, and user interfaces , leveraging modern frameworks and cloud technologies. Your contributions will directly enable customers to secure their applications, infrastructure, and digital assets at scale.

Your Opportunity:

• Implement new features, fix bugs, and enhance the scalability and reliability of our systems.
• Develop expertise in distributed systems, cloud platforms, and modern UI frameworks while working on real-world security products.
• Work closely with Product Managers, UX designers, and fellow engineers to iteratively improve our products.
• Contribute ideas to improve Tenable’s architecture, development processes, and technology stack.
• Write clean, maintainable code, participate in code reviews, and help drive engineering best practices.

What You’ll Need:

• 2+ years of experience as a Full Stack Software Engineer in SaaS or cloud-based applications.
• Hands-on development experience with Java or Kotlin.
• Proficiency with at least one modern UI framework (React, Angular, or Vue.js).
• Solid understanding of RESTful API development and microservices architectures.
• Familiarity with AWS or other cloud platforms.
• Experience with databases (SQL or NoSQL such as PostgreSQL, DynamoDB, Elasticsearch).
• Exposure to CI/CD pipelines, containerization (Docker/Kubernetes), and Git-based workflows.
• Strong problem-solving skills with a focus on building reliable, performant, and secure applications.
• Good communication skills and a collaborative mindset.
• Passion for continuous learning and keeping up with emerging technologies.

And Ideally:

• Experience with event-driven systems (Kafka, SQS, SNS, etc).
• Familiarity with infrastructure-as-code and observability tools (Terraform, Prometheus, Datadog, ELK, Splunk, PagerDuty).
• Prior experience in cybersecurity, DevSecOps, or related domains.
• Exposure to multi-tenant SaaS or hybrid cloud architectures.

#LI-MS1

About the Role

We are looking for an extraordinary software engineer to join our worldwide business development and strategy team. This is an opportunity to join a fast-paced team that plays a key role in the overall success of our organization through technology enablement. You’ll play a critical part in driving our technology vision forward and ensuring that we execute across multiple initiatives.

Key Qualifications

• At least 7 years of experience, preferably working as part of a team
• Deep knowledge of React, Typescript and Javascript (Node)
• Experience with deploying containerized services to cloud computing platforms like AWS or Google Cloud
• Familiarity with relational database systems like PostgreSQL or MySQL
• Proven track record of designing, building, delivering, and maintaining critical web-based software
• You love working in a fast-paced and dynamic environment
• Extremely organized, detail-oriented, and thorough in every undertaking
• Excellent verbal and written communication skills

Description

This is a senior full-stack software engineering role. You’ll work closely day-to-day with other engineers, designer, and PM to plan, design, build, and ship high quality software.

Your responsibilities will include:

• Designing and implementing reliable web applications and APIs independently
• Writing high quality and testable code with quality test coverage and reviewing the work of your peers
• Participating in architecture and technical decisions with strong critical thinking
• Using software engineering pipeline tools (CI/CD, unit testing, manual testing, etc.)
• Researching and developing new technologies and developing proofs of concept

Education & Experience

• BS/MS CS/CE or equivalent experience

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.

Salary range

$125,925.00 — $ 131,738 USD

#LI-AO1

#LI-Onsite 

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.

About the Role

We are looking for an extraordinary software engineer to join our worldwide business development and strategy team. This is an opportunity to join a fast-paced team that plays a key role in the overall success of our organization through technology enablement. You’ll play a critical part in driving our technology vision forward and ensuring that we execute across multiple initiatives.

Key Qualifications

• At least 7 years of experience, preferably working as part of a team
• Deep knowledge of React, Typescript and Javascript (Node)
• Experience with deploying containerized services to cloud computing platforms like AWS or Google Cloud
• Familiarity with relational database systems like PostgreSQL or MySQL
• Proven track record of designing, building, delivering, and maintaining critical web-based software
• You love working in a fast-paced and dynamic environment
• Extremely organized, detail-oriented, and thorough in every undertaking
• Excellent verbal and written communication skills

Description

This is a senior full-stack software engineering role. You’ll work closely day-to-day with other engineers, designer, and PM to plan, design, build, and ship high quality software.

Your responsibilities will include:

• Designing and implementing reliable web applications and APIs independently
• Writing high quality and testable code with quality test coverage and reviewing the work of your peers
• Participating in architecture and technical decisions with strong critical thinking
• Using software engineering pipeline tools (CI/CD, unit testing, manual testing, etc.)
• Researching and developing new technologies and developing proofs of concept

Education & Experience

• BS/MS CS/CE or equivalent experience

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.

Salary range

$125,925.00 — $ 131,738 USD

#LI-AO1

#LI-Onsite 

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

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

Company Overview

ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly log in across websites without needing to create a new login and re-verify. Over 140 million users experience streamlined login and identity verification with ID.me at 20 federal agencies, 44 state government agencies, and 66 healthcare organizations. More than 600 consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships. ID.me’s technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me is committed to “No Identity Left Behind” to enable all people to have a secure digital identity. To learn more, visit https://network.id.me.

Role Overview

ID.me is seeking a Staff Data Engineer (SDE-V) to lead the design, build, and operation of the core data infrastructure that underpins our identity platform. This engineer will be responsible for ensuring the reliability, scalability, and performance of the systems that move, process, and store data across the company.

In this role, you’ll own and operate key data infrastructure components — including event streaming platforms, relational databases, and batch processing systems — while driving automation and engineering best practices that improve data platform reliability and developer efficiency. You’ll partner closely with Platform Engineering, Site Reliability Engineering, and Compliance teams to ensure ID.me’s data ecosystem meets demanding operational, security, and regulatory requirements.

This is a hands-on technical leadership role for a data infrastructure engineer who thrives at the intersection of distributed systems, platform engineering, and data operations.

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

Responsibilities

• Own and operate core data infrastructure, including event streaming, relational database, and batch processing platforms.
• Design and implement highly reliable, observable, and scalable data systems that enable real-time and batch data processing.
• Develop automation and guardrails for data governance, retention, and compliance, ensuring auditability and consistency across services.
• Partner with application, platform, and SRE teams to improve data access patterns, reliability SLAs, and recovery processes.
• Establish standards for data infrastructure monitoring, alerting, and capacity planning, ensuring proactive issue detection.
• Drive operational excellence by improving resilience, reducing toil, and implementing self-healing or automated recovery mechanisms.
• Evolve and optimize data pipelines that support downstream analytics, identity verification, and machine learning systems.
• Evaluate, implement, and operate event-driven and batch data platforms such as Kafka, Google Pub/Sub, Dataflow, or Temporal.
• Lead incident response and root cause analysis for production data systems, contributing to postmortems and platform improvements.
• Mentor engineers and advocate for reliability-focused engineering culture across teams.
• Data lake architecture — Design and build the data lake storage and compute topology (object storage, partitioning, lifecycle, tiering) to support batch and streaming workloads.

Minimum Qualifications

• Bachelor’s or Graduate degree in Computer Science, Software Engineering, or a related technical field.
• 8+ years of professional experience in data engineering, software engineering, or distributed systems development.
• 6+ years of programming experience in one or more languages such as Go, Python, or Java, with emphasis on automation and data system integration.

Preferred Qualifications

• Deep expertise in building and operating data systems—including relational databases, streaming, and batch platforms—in production environments.
• Hands-on experience administering and optimizing PostgreSQL or other relational databases in the cloud (AWS RDS, CloudSQL, or AlloyDB).
• Solid understanding of reliability engineering principles, including observability, SLOs, capacity management, and operational readiness.
• Experience managing cloud infrastructure (AWS or GCP) using infrastructure-as-code tools like Terraform, Kubernetes, or Helm.
• Experience operating event streaming platforms such as Kafka or Google Pub/Sub.
• Experience with batch and stream processing systems, including Dataflow, Temporal, or Airflow.
• Strong knowledge of data pipeline orchestration, change data capture, and schema management.
• Background in automation, incident response, and data platform observability.
• Familiarity with data governance and regulatory compliance frameworks (e.g., FedRAMP, GDPR, NIST).
• Contributions to open-source data infrastructure projects or strong community engagement in the data reliability space.
• Passion for performance engineering, system design, and mentoring others to deliver operational excellence at scale.
• AI-assisted development — Demonstrable experience using AI developer tools (e.g., code generation, test generation, query synthesis) to accelerate platform automation while validating outputs through code review and tests.
• Data-aware LLM usage — Ability to safely use large language models for tasks such as SQL generation, data lineage summarization, and runbook drafting while ensuring no sensitive data is exposed to external models and all prompts and outputs are logged for audit.

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

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

Opportunity

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

What you’ll be doing 

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

What you’ll bring to the role

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

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

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

P17918_3419596

#LI-TM

#Hybrid

The Engineering Architect Team

The Architecture team is a small group of very senior engineers reporting to our VP of Engineering Excellence, working broadly across the organization in collaboration with Engineering, Product, and Security.  We partner deeply with other Engineering teams for large projects, and provide direction and architectural guidance for smaller initiatives.  We have a dual-pronged charter to “level up the tech stack and level up the people stack” via both technical contributions and partnerships/mentoring.

In this role, you will have the opportunity to significantly contribute to Auth0’s future technology direction.  Through your experience, knowledge of industry trends, and technical abilities you will provide guidance, build proof of concepts, and deliver production software implementations that help Auth0 Engineering teams move faster by using and developing standard patterns and technologies. You will also help advance the engineering culture and help uplevel other engineers. Note that while this role involves a lot of guidance, documentation, and leadership, it also requires substantial hands-on coding and development of both applications and systems.

What you’ll be doing

• You will collaborate with Product, Security, and Engineering teams to define and continually improve Auth0’s technology stack and architecture.
• Foster and lead innovation in the IAM space, with a strong focus on Agentic Identity
• Lead initiatives to enhance, scale, and evolve Auth0’s product offerings.
• Embed within Engineering teams across the organization for large projects, while providing guidance and lighter touch engagements for smaller initiatives.
• Design, architect, and document large scale distributed systems.
• Lead the development of complex, broadly-scoped functionality in a very large and deep set of services and components.
• Teach by doing: coding, optimizing, and troubleshooting Node.js and Go applications in collaboration with feature development teams.
• Implement features and create consistent foundations using technologies such as AWS, Azure, Node.js, Go, MongoDB, Redis, PostgreSQL, Kubernetes.
• Investigate, understand, and resolve bottlenecks in our ability to scale, use resources efficiently, and maintain a 99.99% uptime SLA.
• Drive technical decision making while striving to find the right balance between factors such as simplicity, flexibility, reliability, cost, and performance.
• Participate in “round table” discussions and mentor team members and engineers throughout the organization to level up our people.
• Participate in our Engineering Leadership Team with other architects, directors, and executives.
• You will join our Incident Commander on-call rotation. Members of our team do periodic on-call rotation for high-severity incidents to help up-level our responses After spending time getting acquainted with our applications, systems, and processes, and getting training to 

What you’ll bring to the role

• 10+ years of software development experience.
• 5+ years of experience working on cloud applications.
• Experience with API-first applications using REST and/or gRPC
• Passion and thorough understanding of what it takes to build and operate secure, reliable systems at scale.
• Knowledge of Identity Protocols such as OAuth, OIDC and SAML.
• Industry knowledge of the Authorization and Authentication spaces.
• Experience in building AI Agents, and/or MCP servers applications. 
• Experience with security engineering and application security.
• Very strong written and verbal communication skills with a demonstrated ability to adjust your communication style to the intended audience, whether communicating with senior executives, customers, engineers, or product managers.
• Mastery and deep understanding of hands-on software development building distributed systems.
• Experience with multi-cloud environments and container deployments, particularly Kubernetes in AWS/Azure.
• Prior experience with application performance management, tracing, and performance testing tools.
• Excellence at creating clarity and alignment for technical initiatives. 
• Great ability to build trust through collaboration with multiple teams and get consensus on a vision.
• Knowledge of application security and cloud security best practices.

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

- Deep experience in Node.js (Javascript or Typescript), or Golang.

#LI-Hybrid

(P-3286_3209115)

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 TEAM

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

ABOUT THE JOB

As a Senior Software Engineer, Backend Core Platform on the Maritime Digital Production team, you will build the core services and data pipelines that connect design, manufacturing, and operations across our digital shipbuilding ecosystem. You’ll design and implement backend systems that move critical information between tools and teams, creating the foundation for a unified, real-time view of production.

In this role, you’ll develop backend applications and internal APIs that retrieve and push information across enterprise systems such as PLM, ERP, WMS, and MES. You’ll also enhance model-based definitions within PLM environments like Teamcenter, integrating AI-driven insights to make engineering and production workflows smarter and more adaptive.

You’ll collaborate with digital, manufacturing, and corporate technology teams across Anduril in a high-tech, fast-paced culture of innovation that values creative problem solving and precision execution. If you’re driven to build scalable systems that link digital design with real-world manufacturing, you’ll be helping build the future of digital shipbuilding and the next generation of maritime vehicles.

WHAT YOU'LL DO

• Design and Implement Backend Services: Develop high-performance backend services to support the core platform, ensuring scalability and reliability.
• Database Management: Design and maintain databases ensuring high throughput and efficient data access.
• API Development: Create and maintain APIs to facilitate seamless integration with front-end applications and third-party systems.
• Optimize Performance: Monitor and optimize system performance to ensure minimum latency and maximum efficiency.
• Collaborate with Teams: Work closely with front-end developers, data engineers, and other stakeholders to deliver cohesive and robust solutions.
• Maintain Documentation: Write comprehensive documentation to support ongoing development and maintenance of backend services.

REQUIRED QUALIFICATIONS

• Proficiency in backend programming languages (e.g., Java, Python, Go).
• Experience with database management systems (e.g., MySQL, PostgreSQL, MongoDB).
• Strong understanding of RESTful API design and implementation.
• Experience with cloud platforms (e.g., AWS, Azure, GCP).
• Familiarity with containerization (Docker) and orchestration (Kubernetes).
• Understanding of software development best practices, including version control, testing, and CI/CD.
• Strong problem-solving skills and attention to detail.
• Excellent collaboration and communication skills.
• Eligible to obtain and maintain an active U.S. Secret security clearance.

PREFERRED QUALIFICATIONS

• Previous experience in a manufacturing or industrial setting, particularly with interfacing with ERP, MES and PLM systems.
• Familiarity with microservices architecture.
• Knowledge of high-throughput data processing and real-time data handling.
• Experience with monitoring and logging tools (e.g., Prometheus, ELK Stack).

ABOUT THE TEAM

The Production Engineering team is a newly formed organization within Anduril's Software Platform, dedicated to ensuring the reliability, performance, and scalability of mission-critical systems that directly support our warfighters in the field. We solve complex reliability challenges at massive scale, ensuring that critical components of Lattice—Anduril's autonomous command and control platform—operates flawlessly in the most demanding operational environments.

This is a foundational role and you will be among the first hires building this team from the ground up. You'll have the unique opportunity to shape the technical direction, establish best practices, and define what production engineering excellence means at Anduril. Our team operates at the intersection of software engineering and systems reliability, building the infrastructure, tooling, and processes that keep our systems operational 24/7/365.

ABOUT THE ROLE

We are seeking an experienced Senior Site Reliability Engineer who is passionate about building resilient, highly available systems that scale to meet the demands of the core systems powering Lattice. You will work closely with platform engineering teams, product developers, and field operations to proactively identify reliability risks, implement defensive strategies, and continuously improve the operational excellence of our software platform. If you thrive on solving hard problems at scale and want your work to have direct impact on national security, this is the role for you.

WHAT YOU’LL DO

• Design and implement comprehensive monitoring, observability, and alerting systems to ensure early detection of reliability issues across the Lattice platform
• Drive incident response and conduct blameless postmortems to identify systemic improvements and prevent recurrence of production issues
• Build and maintain infrastructure automation using tools like Terraform, Kubernetes operators, and custom tooling to manage large-scale distributed systems
• Establish and track Service Level Objectives (SLOs) and Error Budgets to balance feature velocity with system reliability
• Partner with software engineering teams to improve system architecture for reliability, implementing patterns like circuit breakers, graceful degradation, and chaos engineering
• Develop capacity planning models and performance testing frameworks to ensure systems can handle growth and peak operational demands
• Create runbooks, documentation, and training materials to enable teams to operate production systems effectively
• Lead cross-functional efforts to improve deployment safety through progressive rollouts, automated testing, and rollback capabilities
• Implement security best practices and compliance controls for production environments handling sensitive defense data
• Build tooling and automation to reduce toil and improve operational efficiency for the engineering organization
• Participate in on-call rotations and serve as an escalation point for critical production incidents

REQUIRED QUALIFICATIONS

• 7+ years of engineering experience with at least 3+ years focused on SRE, production operations, or infrastructure engineering
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
• Deep expertise with Kubernetes in production environments, including operational challenges at scale (100+ nodes)
• Strong programming skills in one or more languages such as Go, Python, Rust, or Java with ability to build production-grade tooling
• Proven experience designing and implementing observability stacks (metrics, logging, tracing) using tools like Prometheus, Grafana, ELK/EFK, or equivalent
• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and infrastructure as code practices
• Demonstrated ability to debug complex distributed systems issues across multiple layers of the stack
• Track record of improving system reliability through architectural changes, not just operational band-aids
• Strong incident management and communication skills, with experience leading responses to critical outages
• Must be a U.S. Person due to required access to U.S. export controlled information or facilities
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Experience with defense, aerospace, or other mission-critical systems where downtime has severe consequences
• Expertise in performance optimization and capacity planning for high-throughput, low-latency systems
• Knowledge of chaos engineering principles and experience implementing resilience testing frameworks
• Experience with service mesh technologies (Istio, Linkerd) and advanced traffic management patterns
• Background in database operations and optimization (PostgreSQL, Cassandra, or similar at scale)
• Familiarity with CI/CD platforms and deployment automation (ArgoCD, FluxCD, Spinnaker, Jenkins)
• Understanding of networking fundamentals including load balancing, DNS, TLS/SSL, and network security
• Experience with configuration management and secrets management solutions (Vault, Sealed Secrets, SOPS)
• Strong written and verbal communication skills with ability to explain technical concepts to non-technical stakeholders
• Active Secret or higher security clearance

Role Overview

We are seeking a deeply technical, hands-on Principal Platform Architect and Tech Lead to serve as the technical authority for the Enterprise OS team. This high-leverage role is centered on building a foundational platform layer that sits above core enterprise systems (e.g., SAP S/4HANA, Workday, Google Workspace, Okta).

You will help establish foundational platform capabilities that streamline the development of secure, reliable applications atop unified enterprise data. This is a deeply technical, high-leverage role. You will not only design and build core services but also lead the engineering team in execution, set rigorous platform standards, and own the technical roadmap.

Key Responsibilities

• Technical Leadership: Act as the Tech Lead for the platform team. Drive technical decisions, manage architectural trade-offs, and ensure the team adheres to high engineering standards through rigorous design and code reviews.
• Platform Design Ownership: Define the canonical entity model, design the connector interface for typed Go services across source systems, and own the Platform SDK used by application teams.
• Core Service Development: Lead the development of services enabling policy-controlled access, traceability, and automation, including AI-assisted workflows with robust guardrails.
• Execution & Validation: Translate the platform vision into actionable engineering milestones. Your designs will be rapidly validated through production applications.

Responsibilities

• Define canonical entity models that normalize data across multiple enterprise systems (e.g., finance, supply chain, HR)
• Demonstrated ability to lead engineering teams through the full SDLC of complex platform products.
• Design and implement core backend services (Go preferred, Java experience also valued)
• Define strongly typed API contracts and versioning standards using protobuf, with the Platform SDK as the single interface applications build against
• Design a portable data architecture using PostgreSQL, including schema evolution and performance strategy
• Establish scalable connector/integration patterns for ingesting, enriching, and serving enterprise entities
• Build a policy-based authorization approach (RBAC with attribute-aware controls) with entity-level access control and data masking where needed
• Define event propagation patterns (e.g., outbox pattern) and a clear path to CDC/event streaming as the platform matures
• Establish auditability, traceability, and observability standards for platform services
• Enable AI-assisted workflows safely (e.g., classification/summarization/suggested actions) with strict access boundaries and full audit logs
• Mentor engineers and collaborate with application teams to validate the platform through real production use cases
  
  

Qualifications

• 15+ years building distributed systems, backend platforms, or internal developer platforms
• Strong hands-on backend engineering experience  (Go preferred)
• Deep expertise in relational databases, ideally PostgreSQL (schema design, indexing, performance tuning, migrations)
• Experience designing canonical data models across heterogeneous systems
• Experience defining durable API contracts and operating them over time (versioning, compatibility, reliability)
• Experience implementing secure authorization patterns (RBAC and fine-grained access controls)
• Experience designing event-driven systems and reliability patterns (idempotency, retries, consistency)
• Cloud-native experience (AWS/GCP preferred) and comfort working across infrastructure/application boundaries
• Demonstrated ability to ship production systems used by other teams

Preferred:

• Experience with typed contracts
• Experience with policy-as-code authorization (e.g., OPA/Cerbos or similar)
• Experience integrating enterprise identity providers (OIDC/SAML; Okta is a plus)
• Experience building internal SDKs/frameworks used by multiple teams
• Experience incorporating AI/LLM capabilities into production systems with strong governance (access boundaries, prompt-safety patterns, human-in-the-loop controls)
• Experience integrating with ERP/HR systems (SAP, Workday, etc.)
• Experience with enterprise data integration patterns: multi-table source joins, delta sync strategies, field-level provenance, canonical model design

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

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between 219,000 - 265,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Role Overview

As a Senior Staff Backend Engineer on the Platform Core team, you will build the services that power the platform foundation — the Entity Registry, change tracking, typed source system connectors, and the integration infrastructure that every application depends on. This role focuses on Go backend services, PostgreSQL performance, and building durable infrastructure that application teams program against through the Platform SDK.

Responsibilities

• Build and maintain core backend services (Go preferred)
• Build scalable systems that use a range of inter-process communication mechanisms (blackboard, direct, queues, etc.)
• Build common data models from diverse data sources
• Build APIs and SDKs that accelerate application development
• Design and optimize PostgreSQL schemas for performance and evolution
• Define and implement strongly typed reusable APIs (gRPC/protobuf or REST/OpenAPI)
• Develop entity CRUD, search, and traversal capabilities
• Implement change tracking and event propagation patterns (e.g., outbox pattern)
• Optimize database performance (indexing strategy, query planning, connection management)
• Implement middleware for authentication, authorization, rate limiting, and audit logging
• Contribute to observability, reliability, and CI/CD standards
• Collaborate with platform and application teams to validate services in production use cases
• Support AI-assisted workflows by exposing clean, structured APIs suitable for controlled automation
  
  

Required Qualifications

• 10+ years backend engineering experience
• Strong hands-on experience in Go (or equivalent backend experience with willingness to work in Go)
• Deep expertise with relational databases, ideally PostgreSQL, to include:
  • Schema design
  • Performance tuning
  • Indexing strategies
  • Query plan analysis
    
    
• Experience building and operating distributed systems
• Experience defining and implementing typed service contracts
• AWS or other cloud-native infrastructure experience
• Strong understanding of reliability patterns (idempotency, retries, consistency)
• Demonstrated experience defining and developing APIs and SDKs
  
  

Preferred Qualifications

• Experience building typed connectors or integration services against enterprise APIs (OData, REST, SCIM)
• Experience with JSONB modeling or complex relational traversal patterns
• Experience with gRPC and protobuf
• Experience with change data capture (CDC) or event streaming
• Experience implementing policy-as-code authorization (Cerbos, OPA, or similar)
• Kubernetes (EKS) and infrastructure-as-code (Terraform) familiarity
• Experience building services consumed by LLM pipelines or AI-assisted workflows

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

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $182,500 - $220,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Overview 

Flex is a growth-stage, NYC headquartered FinTech company that is creating the best rent payment experience. It’s hard to believe that it’s 2026 and paying rent on time is expensive, inflexible, and difficult. We’re here to change that! Flex enables our users to pay rent throughout the month on a schedule that better fits their finances and budget. Our mission is to empower as many renters as possible with flexibility over their most significant recurring expense. After deliberately keeping a stealth profile as we built up unprecedented investor support and an enthusiastic user base, we are looking for motivated individuals to help us keep our mission growing. Will you be a part of the team?

About the Role

Flex is looking for a Staff Software Engineer to join our core platform team. We want engineers with ideas (because they’ll definitely be heard on our small and tight-knit team) and ambition! Successful devs will feel comfortable in a startup environment and will be happy to work in a remote-first team with a lot of independence. As a Staff Engineer at Flex, you’ll help set technical direction and shape the long-term architecture of our backend services while still being hands-on with coding and delivery. You will collaborate across engineering, product, design, and other stakeholders to ensure scalable, reliable, and impactful systems that power consumer experiences, partner integrations, and our core business platforms. You’ll also play a critical role in mentoring engineers, elevating technical standards, and ensuring the success of projects end-to-end.

Our Engineering Teams

• Consumer Engineering: Builds the APIs and backend systems powering Flex’s main consumer-facing products. This team focuses on delivering scalable services for a seamless rent payment experience through our mobile and web apps.
  
  
• Partner Integrations Engineering: Owns the backend services and integrations that connect Flex to financial partners and payment networks, ensuring reliable, secure payment flows and partner-facing experiences.
  
  
• Core Platform Engineering: Maintains the backend systems and infrastructure supporting all business features, including Payments, Billing, Identity, and Partner Integrations, ensuring Flex’s foundation is robust and scalable.
  
  
• Risk Platform Engineering: Develops the platforms and APIs that mitigate credit and fraud risk, enhancing customer accessibility while safeguarding against misuse through advanced rules engines, machine learning, and event data systems.

What You’ll Do

• Design, implement and maintain our Finance service and internal tooling, including financial reporting, reconciliation/audit process.
• Design and develop new APIs and functionalities to support large money movements across our banking partners via different payment rails, such ACH.
• Scale out core platform to support business growth while maintaining performance and reliability 
• Continuously improving our daily operations with automation, tooling, design evolution, observability etc.
• Work closely with product, analytics, finance and engineering peers to launch new financial features into our platform

What We're Looking For

• 6+ years of experience in software development or a related field 
• Experience in technical leadership, guiding engineering teams through complex projects 
• Experience with Java, Python, Golang, or TypeScript/Node.js.
• Strong experience with relational SQL and NoSQL databases, such as MySQL/PostgreSQL/DynamoDB
• Experience in designing and developing the fault-tolerant and scalable distributed systems 
• Experience with AWS cloud services: ESC/EKS, Lambda, API Gateway, VPN, RDS etc
• Infrastructure as code(AWS CLI, AWS CDK/Terraform)  
• Strong communication skills with the ability to understand and explain technical issues to a non-technical audience 
• Follow engineering best practices as well as propose new ones 
• Experience with finance reporting and reconciliation
• Deep experience with writing complex query and data mining
  
  

• Tier A: (NYC/SF): $200,000 —$250,000 USD
• Tier B: $180,000—$225,000 USD
• Tier C: $170,000 —$212,500 USD

#LI-Remote

The Role: 

As a Senior Software Engineer II focusing on trading engineering, you will play a critical role in delivering a high-quality trading platform that powers trading functionality in the Forge Marketplace. You will identify opportunities to enhance trading products, including integrating modern low-latency technologies, and help define the direction and roadmap for trading engineering initiatives.

You will collaborate closely with Product, Design, and Engineering teams to ensure seamless integration of trading technologies into products, improving both user experience and application performance.

Location: This role requires 2-3 days a week in office in San Francisco, CA.

Responsibilities:

• Deliver software on time with accurate estimates
• Take ownership of production changes, including monitoring and maintaining runbooks
• Provide high-quality code reviews and help improve team engineering standards
• Design scalable and resilient trading platform architecture with a focus on performance
• Participate in design reviews and contribute to technical direction
• Serve as a technical expert for trading systems for internal teams and external partners
• Collaborate cross-functionally to translate business requirements into technical solutions
• Solve complex engineering challenges, particularly within code generation frameworks

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• 5–8 years of software engineering experience
• 5+ years of development experience in compiled, object-oriented languages (e.g., TypeScript, C#, Java)
• 2+ years of experience in dynamic scripting languages (e.g., Python, JavaScript, Ruby)
• Experience with real-time data processing and event-driven systems (e.g., WebSockets, Kafka)
• Strong SQL skills and experience with PostgreSQL and/or MySQL
• Experience building CI/CD pipelines and managing production deployments
• Familiarity with cloud platforms (AWS, Azure, GCP), proficiency with Git, GitHub, and Agile tools such as JIRA
• Experience in Private Markets or Financial Services, especially financial market data
• Strong collaboration and teamwork skills, proven ability to unblock and mentor other engineers
• Strong track record of delivery in high-performance engineering environments, commitment to diversity, inclusion, and building high-performing teams

For residents of San Francisco, CA the annual salary range for this role is $174,000-$210,000 annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

As our Senior Data Engineer focusing on data engineering, you will play a crucial role delivering a high-quality data platform that is responsible for maintaining and delivering Forge data to internal and external clients as well as improving and maintaining internal user interfaces to interact with this data. You will implement new features, maintain existing features and perform code reviews, unit testing, and production deployments for our data platform using agile methodologies. Collaborating closely with Product, Design, and Engineering teams, you’ll ensure requirements are well defined, and changes are delivered in a timely manner. 

Location: This role requires 2-3 days a week in office in San Francisco, CA.

For residents of San Francisco, CA the annual salary range for this role is $200,000-$230,000 annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

As a Senior Data Engineer focused on data engineering, you will play a key role in delivering a high-quality data platform responsible for maintaining and delivering Forge data to internal and external clients. You will implement new features, maintain existing functionality, and perform code reviews, unit testing, and production deployments using Agile methodologies. You will collaborate closely with Product, Design, and Engineering teams to ensure requirements are well defined and delivered in a timely manner.

Location: This role requires 2-3 days a week in office in San Francisco, CA.

Responsibilities

• Collaborate with cross-functional teams to understand requirements and deliver high-quality software solutions
• Implement software solutions in line with provided estimates and requirements
• Stay current with the latest trends and technologies in data engineering and advocate for appropriate adoption

Qualifications

• 3–5+ years of development experience using object-oriented languages such as TypeScript, C#, or Java
• Experience with scripting languages such as Python for data-related tasks
• Familiarity with modern data architectures (e.g., Medallion Architecture, data lakes)
• Experience in Private Markets or Financial Services, specifically working with financial market data
• Proven experience setting up CI/CD pipelines, managing data orchestration, application deployments, and ensuring code quality
• Strong project management skills, with the ability to take features from planning through deployment, including hands-on backend and frontend development
• Proficiency in databases such as PostgreSQL and strong SQL skills
• Experience with cloud platforms such as AWS (or equivalent like Azure or GCP)
• Extensive experience with version control systems such as Git and platforms like GitHub
• Familiarity with Agile project management tools such as JIRA or similar tools

Preferred Qualifications

• Experience migrating systems from legacy architectures to modern tech stacks
• Knowledge of real-time data processing and event-driven architectures using technologies such as WebSockets or Kafka
• Experience leading offshore and nearshore engineering teams
• Experience using large language models and agentic workflows

For residents of San Francisco, CA the annual salary range for this role is $110,000-$130,000 annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

We’re looking for a Senior Software Engineer to help design, build, and scale Profluent’s data platform. This platform houses data from protein engineering campaigns, including protein designs, experimental results, partner datasets, analytical outputs, and model-ready training data. It enables rapid machine learning, biological discovery, and secure collaboration across internal and external programs.

This role is ideal for an engineer who enjoys building robust data systems: secure ingestion pipelines, well-structured warehouses, reliable data models, access controls, auditability, and infrastructure that makes complex scientific data usable at scale. You will work closely with ML, bioinformatics, and program teams to ensure Profluent’s data is organized, governed, accessible, and protected.

Responsibilities

• Design, build, and maintain scalable data infrastructure for protein engineering campaigns, including ingestion, transformation, validation, storage, and retrieval of large scientific datasets
• Develop secure data pipelines for internal and partner-generated data, with strong attention to access control, data siloing, provenance, auditability, and compliance with data use restrictions
• Own core components of Profluent’s data warehouse and data platform, using Python, GCP, PostgreSQL, BigQuery, and related cloud-native technologies
• Build systems that transform raw experimental, computational, and partner data into structured, reliable, analysis-ready and model-ready datasets
• Establish best practices for data modeling, metadata management, data quality checks, schema evolution, versioning, and documentation
• Collaborate with ML engineers, computational biologists, data scientists, and program stakeholders to understand data requirements and translate them into scalable technical systems
• Improve engineering quality through thoughtful system design, code review, testing, CI/CD, observability, and maintainable development workflows
• Contribute to architectural decisions for how Profluent stores, secures, organizes, and uses data across programs and partnerships

Qualifications

• 5+ years of software engineering, data engineering, or data platform experience
• Strong proficiency in Python and modern software development practices, including git, testing, code review, CI/CD, and production deployment
• Experience designing and operating production data pipelines, data warehouses, and data models at scale
• Hands-on experience with cloud platforms, preferably GCP, and technologies such as BigQuery, PostgreSQL, object storage, workflow orchestration, and containerized services
• Strong understanding of data security, access control, data partitioning or siloing, audit logging, and managing sensitive or restricted datasets
• Experience working with complex, heterogeneous datasets and building systems that make them reliable, discoverable, and usable
• Ability to work independently, make sound technical decisions, and drive projects from ambiguous requirements to production systems
• BS, MS, or PhD in Computer Science, Engineering, Data Science, Bioinformatics, or a related technical field, or equivalent practical experience

Preferences (but not required)

• Experience with scientific, biological, clinical, genomic, laboratory, or high-throughput experimental data
• Experience managing external partner, customer, or restricted-access datasets
• Familiarity with data governance, lineage, metadata systems, schema registries, or data catalogs
• Experience with research data systems, LIMS, ELNs, Benchling, or adjacent scientific platforms
• Background working with ML, data science, computational biology, or cross-disciplinary technical teams
• Interest in learning biology, gene editing, protein design, or machine learning concepts

What We Offer

• High-growth opportunity with meaningful impact on the future of protein design
• Competitive compensation package with equity participation
• 401(k) with a strong employer match
• Comprehensive benefits including health/dental/vision insurance
• Generous PTO policy and commitment to work-life balance
• Professional development opportunities in a cutting-edge field at the intersection of AI and biology

Profluent Bio, Inc is an equal opportunity employer promoting diversity and inclusion in the workspace. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical conditions, veteran status, sexual orientation, gender (including gender identity and gender expression), sex (which includes pregnancy, childbirth, and breastfeeding), genetic information, taking or requesting statutorily protected leave, or any other basis protected by law.

Work Authorization Requirement

Applicants must have ongoing work authorization in the United States that does not require employer sponsorship. Sponsorship will not be provided now or at any time in the future for this position.

Employment Eligibility Verification

Legal authorization to work in the United States is required. In compliance with federal law, all persons hired must verify their identity and work eligibility and complete the required employment verification form upon hire.

We’re looking for a hands-on engineering manager to lead Profluent’s Lab Informatics Platform team. This team builds the systems scientists use to design experiments, track samples, capture assay data, integrate with Benchling and lab automation, and make experimental data usable for analysis and machine learning.

The ideal candidate is both an experienced people manager and a strong technical lead. You’ll formally manage and mentor a small team while remaining deeply involved in architecture, data modeling, database design, and technical execution. You’ll work closely with wet-lab scientists, automation engineers, data scientists, and ML experts to build practical, scientist-facing tools that make complex experimental workflows scalable, traceable, and actionable.

Responsibilities 

• Lead, mentor, and grow a software engineering team focused on lab informatics systems, scientific data infrastructure, and scientist-facing applications
• Architect and deliver the roadmap for systems that support sample tracking, assay data capture, Benchling integration, lab automation, experimental metadata, and analysis workflows
• Design robust data models for protein engineering and gene editing experiments, including constructs, samples, reagents, cell systems, assay results, metadata, and experimental lineage across mammalian and bacterial workflows
• Partner closely with scientists to translate complex laboratory requirements into scalable software solutions that accelerate Profluent’s design-build-test-learn cycle
• Build and maintain backend systems, APIs, databases, data pipelines, and web applications using technologies such as Python, Django, PostgreSQL, BigQuery, GCP, and modern development workflows
• Establish strong engineering practices across architecture, code review, testing, CI/CD, documentation, and agile delivery

Qualifications 

• 7+ years of software engineering experience, including at least 2 years managing or leading engineers
• BS, MS, or PhD in Computer Science, Bioinformatics, Computational Biology, Engineering, or a related field, or equivalent experience
• Strong technical leadership skills, with a track record of architecting and delivering production-quality software systems
• Proficiency with Python, backend development, databases, APIs, and modern software engineering workflows
• Experience building lab informatics systems, scientific data platforms, LIMS/ELN integrations, research software, or scientist-facing applications
• Experience with data modeling and database design for complex scientific, operational, or experimental workflows
• Demonstrated ability to work closely with scientists and translate ambiguous laboratory workflows into reliable software systems

Preferences (but not required)

• Experience with Benchling, lab automation, instrument data ingestion, sample tracking, or high-throughput experimental data
• Experience with data generated from mammalian or bacterial cell systems, gene editing, protein engineering, or related biological workflows
• Frontend web development experience and interest in building intuitive scientist-facing user interfaces

What We Offer

• High-growth opportunity with meaningful impact on the future of protein design
• Competitive compensation package with equity participation
• 401(k) with a strong employer match
• Comprehensive benefits including health/dental/vision insurance
• Generous PTO policy and commitment to work-life balance
• Professional development opportunities in a cutting-edge field at the intersection of AI and biology

Profluent Bio, Inc is an equal opportunity employer promoting diversity and inclusion in the workspace. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical conditions, veteran status, sexual orientation, gender (including gender identity and gender expression), sex (which includes pregnancy, childbirth, and breastfeeding), genetic information, taking or requesting statutorily protected leave, or any other basis protected by law.

Work Authorization Requirement

Applicants must have ongoing work authorization in the United States that does not require employer sponsorship. Sponsorship will not be provided now or at any time in the future for this position.

Employment Eligibility Verification

Legal authorization to work in the United States is required. In compliance with federal law, all persons hired must verify their identity and work eligibility and complete the required employment verification form upon hire.

Who We Are 

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future.

About the Role

Nuro takes a machine-learning-first approach to autonomous driving technology. In an ML-first system, the overall system performance depends heavily on the quantity and diversity of its training and evaluation data. 

The team plays a crucial role in the advancement of autonomous driving systems by creating a scalable and reliable data infrastructure. This infrastructure is designed to produce training and evaluation data derived from both on-road collected logs and simulation logs. Additionally, the team collaborates closely with system engineers to thoroughly validate the autonomous driving system before its deployment.

About the Work

• Design and develop unified, introspectable, large-scale batch and streaming data pipelines that can ingest and process data across a wide range of use cases relevant to evaluation.
• Create and implement a storage system capable of accommodating both the large volume and diverse range of evaluation and performance metrics.
• Construct intuitive dashboards and reports to present evaluation results, facilitating straightforward comparisons that highlight both improvements and regressions of the ML components and the overall system.
• Develop and maintain continuous testing and monitoring systems to guarantee the integrity and resilience of our data and associated data pipelines.
• Develop data mining tools with applied ML techniques to support data discovery needs from Autonomy including Perception, Behavior, and Mapping
• Develop data annotation tools to support first-party and third-party labeling workforce to provide high fidelity perception, mapping, and driving trajectory labels
• Scale data annotation labels with applied State-of-the-art ML techniques

About You

• You have a degree in BS, MS.c or Ph.D, plus 1+ years of relevant work experience
• Strong proficiency in Python or similar languages
• Domain experience: Experience working with large-scale data and building scalable & reliable systems/data pipelines; ability to understand and design complex systems
• Technical excellence: Ability and willingness to deep dive into implementation, driving technical standards and best practices across broader software organization
• A bachelor's degree in Computer Science, Electrical Engineering, or a closely related field

Bonus Points 

• Strong proficiency in C++ or other high-performance low-level languages
• Strong knowledge of GCP, GCS, BigQuery, or PostgreSQL
• Knowledge of data engineering, and its tooling and best practices
• Knowledge of batch and streaming data processing, warehousing, and analytics solutions
• Experience working with large-scale distributed data systems
• Experience with system & framework design
• Experience with data workflow orchestration platforms

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $160,360 and $240,540 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.

Who We Are 

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future.

About the Role

Nuro takes a machine-learning-first approach to autonomous driving technology. In an ML-first system, the overall system performance depends heavily on the quantity and diversity of its training and evaluation data. 

The team plays a crucial role in the advancement of autonomous driving systems by creating a scalable and reliable data infrastructure. This infrastructure is designed to produce training and evaluation data derived from both on-road collected logs and simulation logs. Additionally, the team collaborates closely with system engineers to thoroughly validate the autonomous driving system before its deployment.

About the Work

• Design and develop unified, introspectable, large-scale batch and streaming data processing systems that can ingest and process data across a wide range of use cases relevant to evaluation.
• Create and implement a storage system capable of accommodating both the large volume and diverse range of evaluation and performance metrics.
• Construct intuitive dashboards and reports to present evaluation results, facilitating straightforward comparisons that highlight both improvements and regressions.
• Design and develop comprehensive end-to-end data pipelines that streamline the flow from data ingestion to final consumption.
• Develop and maintain continuous testing and monitoring systems to guarantee the integrity and resilience of our data and associated data pipelines

About You

• B.Sc or M.Sc. plus 1+ years of relevant work experience
• Strong proficiency in Python, C++, or similar languages
• Domain experience: Experience working with large scale data and building scalable & reliable systems/data pipelines; ability to understand and design complex systems
• Technical excellence: Ability and willingness to deep dive into implementation, driving technical standards and best practices across broader software organization
• A bachelor's degree in Computer Science, Electrical Engineering, or a closely related field

Bonus Points 

• Strong knowledge of GCP, GCS, BigQuery, or PostgreSQL
• Knowledge of data engineering, and its tooling and best practices
• Knowledge of batch and streaming data processing, warehousing, and analytics solutions
• Experience working with large scale distributed data systems
• Experience with system & framework design
• Experience with data workflow orchestration platforms

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $160,360 and $240,540 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.

Who We Are 

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future.

About the Role

Nuro takes a machine-learning-first approach to autonomous driving technology. In an ML-first system, the overall system performance depends heavily on the quantity and diversity of its training and evaluation data. 

The team plays a crucial role in the advancement of autonomous driving systems by creating a scalable and reliable data infrastructure. This infrastructure is designed to produce training and evaluation data derived from both on-road collected logs and simulation logs. Additionally, the team collaborates closely with system engineers to thoroughly validate the autonomous driving system before its deployment.

About the Work

• Design and develop unified, introspectable, large-scale batch and streaming data pipelines that can ingest and process data across a wide range of use cases relevant to evaluation.
• Create and implement a storage system capable of accommodating both the large volume and diverse range of evaluation and performance metrics.
• Construct intuitive dashboards and reports to present evaluation results, facilitating straightforward comparisons that highlight both improvements and regressions of the ML components and the overall system.
• Develop and maintain continuous testing and monitoring systems to guarantee the integrity and resilience of our data and associated data pipelines.
• Develop data mining tools with applied ML techniques to support data discovery needs from Autonomy including Perception, Behavior, and Mapping
• Develop data annotation tools to support first-party and third-party labeling workforce to provide high fidelity perception, mapping, and driving trajectory labels
• Scale data annotation labels with applied State-of-the-art ML techniques

About You

• You have a degree in BS, MS.c or Ph.D, plus 4 years of relevant work experience
• Strong proficiency in Python or similar languages
• Domain experience: Experience working with large-scale data and building scalable & reliable systems/data pipelines; ability to understand and design complex systems
• Engineering leadership: Experience setting team or project product and technical vision, timelines, and prioritization; being a Technical Lead, mentoring and support junior engineers
• Technical excellence: Ability and willingness to deep dive into implementation, driving technical standards and best practices across broader software organization
• A bachelor's degree in Computer Science, Electrical Engineering, or a closely related field

Bonus Points 

• Strong proficiency in C++ or other high-performance low-level languages
• Strong knowledge of GCP, GCS, BigQuery, or PostgreSQL
• Knowledge of data engineering, and its tooling and best practices
• Knowledge of batch and streaming data processing, warehousing, and analytics solutions
• Experience working with large-scale distributed data systems
• Experience with system & framework design
• Experience with data workflow orchestration platforms

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $193,930 and $352,290 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.

Who We Are 

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future.

About the Role

Nuro takes a machine-learning-first approach to autonomous driving technology. In an ML-first system, the overall system performance depends heavily on the quantity and diversity of its training and evaluation data. 

The team plays a crucial role in the advancement of autonomous driving systems by creating a scalable and reliable data infrastructure. This infrastructure is designed to produce training and evaluation data derived from both on-road collected logs and simulation logs. Additionally, the team collaborates closely with system engineers to thoroughly validate the autonomous driving system before its deployment.

About the Work

• Design and develop unified, introspectable, large-scale batch and streaming data processing systems that can ingest and process data across a wide range of use cases relevant to evaluation.
• Create and implement a storage system capable of accommodating both the large volume and diverse range of evaluation and performance metrics.
• Construct intuitive dashboards and reports to present evaluation results, facilitating straightforward comparisons that highlight both improvements and regressions.
• Design and develop comprehensive end-to-end data pipelines that streamline the flow from data ingestion to final consumption.
• Develop and maintain continuous testing and monitoring systems to guarantee the integrity and resilience of our data and associated data pipelines

About You

• B.Sc or M.Sc. plus 4+ years of relevant work experience
• Strong proficiency in Python, C++, or similar languages
• Domain experience: Experience working with large scale data and building scalable & reliable systems / data pipelines; ability to understand and design complex systems
• Engineering leadership: Experience setting team or project product and technical vision, timelines and prioritization; formally or informally being a Tech Lead, mentoring and support junior engineers
• Technical excellence: Ability and willingness to deep dive into implementation, driving technical standards and best practices across broader software organization
• A bachelor's degree in Computer Science, Electrical Engineering, or a closely related field

Bonus Points 

• Strong knowledge of GCP, GCS, BigQuery, or PostgreSQL
• Knowledge of data engineering, and its tooling and best practices
• Knowledge of batch and streaming data processing, warehousing, and analytics solutions
• Experience working with large scale distributed data systems
• Experience with system & framework design
• Experience with data workflow orchestration platforms

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $193,930 and $352,290 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.

We are hiring a Senior Infrastructure Engineer to join our Global Core Infrastructure team and help build and operate the global platform behind Workato.com/go. You will work closely with engineers in the US and across international teams to design, scale, and secure the systems that power Workato’s automation platform - trusted by thousands of enterprises and processing billions of events every day.

Role Overview

As a Senior Infrastructure Engineer, you’ll be part of the team responsible for the architecture, scalability, and reliability of Workato’s distributed cloud platform. You’ll design and optimize the systems that allow our services to run securely and efficiently at scale. This is a highly technical role that requires deep experience with cloud infrastructure, Linux internals, and large-scale distributed systems. 

Responsibilities

• Design, build, and maintain a global, distributed, and resilient cloud infrastructure.
• Collaborate with AI engineering and iPaaS  engineering teams to plan and deliver complex platform initiatives.
• Patch and optimize open-source components for performance and security.
• Build iPaaS and AI infrastructure at scale and cross-cloud.
• Manage and provision AWS infrastructure using Terraform and Kubernetes.
• Write and maintain Kubernetes manifests and deployment configurations for critical workloads.
• Improve and maintain CI/CD pipelines for scalable and secure component delivery.
• Tune Linux systems and open-source software for high performance and hardened security.
• Build internal tools to streamline engineering workflows and operational automation.
• Participate in architecture reviews, incident response, and performance analysis to ensure system reliability.

Requirements

• 7+ years of experience in infrastructure or systems engineering roles.
• Proven expertise in distributed systems and cloud-native architectures.
• Strong understanding of Linux internals, including networking and system-level performance tuning.
• Experience operating infrastructure on AWS at scale.
• Proficiency with Terraform, Kubernetes. 
• Solid understanding of network security and cloud security best practices.
• Hands-on experience optimizing CI/CD workflows and automating deployments.
• Excellent analytical, troubleshooting, and communication skills.

Nice to Have

• Experience with Golang for tooling or internal services.
• Experience building cross-cloud AI infrastructure.
• Familiarity with Kafka, Redis, ClickHouse, PostgreSQL, or similar technologies.
• Experience with observability tools such as Grafana, Prometheus, or VictoriaMetrics.
• Understanding of Vault or other secrets management systems.
• Contributions to or maintenance of open-source infrastructure projects.
  
  

Tech Stack

• AWS • Terraform • Kubernetes •  LiteLLM • Quadrant • ArgoCD • Kafka • PostgreSQL • Redis • ClickHouse • Grafana • VictoriaMetrics • Vault

Why Join Us

• Build and operate a world-class cloud platform used by leading global enterprises.
• Collaborate with experienced engineers in the US and across international teams.
• Work in a highly technical environment focused on scalability, performance, and reliability.
• Contribute to an engineering culture that values ownership, craftsmanship, and innovation.

This is a full-time position with a salary range of $180,000.00 - $240,000.00 per year, depending on experience and qualifications. The package includes health insurance, paid time off, and a 401(k) plan.

We are hiring a Senior Infrastructure Engineer to join our Global Core Infrastructure team and help build and operate the global platform behind Workato.com/go. You will work closely with engineers in the US and across international teams to design, scale, and secure the systems that power Workato’s automation platform - trusted by thousands of enterprises and processing billions of events every day.

Role Overview

As a Senior Infrastructure Engineer, you’ll be part of the team responsible for the architecture, scalability, and reliability of Workato’s distributed cloud platform. You’ll design and optimize the systems that allow our services to run securely and efficiently at scale. This is a highly technical role that requires deep experience with cloud infrastructure, Linux internals, and large-scale distributed systems. 

Responsibilities

• Design, build, and maintain a global, distributed, and resilient cloud infrastructure.
• Collaborate with AI engineering and iPaaS  engineering teams to plan and deliver complex platform initiatives.
• Patch and optimize open-source components for performance and security.
• Build iPaaS and AI infrastructure at scale and cross-cloud.
• Manage and provision AWS infrastructure using Terraform and Kubernetes.
• Write and maintain Kubernetes manifests and deployment configurations for critical workloads.
• Improve and maintain CI/CD pipelines for scalable and secure component delivery.
• Tune Linux systems and open-source software for high performance and hardened security.
• Build internal tools to streamline engineering workflows and operational automation.
• Participate in architecture reviews, incident response, and performance analysis to ensure system reliability.

Requirements

• 7+ years of experience in infrastructure or systems engineering roles.
• Proven expertise in distributed systems and cloud-native architectures.
• Strong understanding of Linux internals, including networking and system-level performance tuning.
• Experience operating infrastructure on AWS at scale.
• Proficiency with Terraform, Kubernetes. 
• Solid understanding of network security and cloud security best practices.
• Hands-on experience optimizing CI/CD workflows and automating deployments.
• Excellent analytical, troubleshooting, and communication skills.

Nice to Have

• Experience with Golang for tooling or internal services.
• Experience building cross-cloud AI infrastructure.
• Familiarity with Kafka, Redis, ClickHouse, PostgreSQL, or similar technologies.
• Experience with observability tools such as Grafana, Prometheus, or VictoriaMetrics.
• Understanding of Vault or other secrets management systems.
• Contributions to or maintenance of open-source infrastructure projects.
  
  

Tech Stack

• AWS • Terraform • Kubernetes •  LiteLLM • Quadrant • ArgoCD • Kafka • PostgreSQL • Redis • ClickHouse • Grafana • VictoriaMetrics • Vault

Why Join Us

• Build and operate a world-class cloud platform used by leading global enterprises.
• Collaborate with experienced engineers in the US and across international teams.
• Work in a highly technical environment focused on scalability, performance, and reliability.
• Contribute to an engineering culture that values ownership, craftsmanship, and innovation.

This is a full-time position with a salary range of $180,000.00 - $240,000.00 per year, depending on experience and qualifications. The package includes health insurance, paid time off, and a 401(k) plan.

Senior AI Data Engineer (Full-time)

Remote in CA, TX, NC, WA, ID, NV, AZ, CO, KS, AR, LA, AL, GA, FL, SC, TN, VA, MD, NJ, DE, IL, WI, MI, OH, MA, PA, NH, CT

Cortica is looking for a Senior AI Data Engineer to join its growing team!

The Senior AI Data Engineer will serve as both architect and builder of our data ecosystem. Every initiative will follow a complete engineering lifecycle: gathering stakeholder requirements, designing the solution, building and testing it, and shipping it to production. This role will work across data lakes, analytics pipelines, and lightweight application development— the multi-disciplinary data equivalent of a full-stack developer.

The Senior AI Data Engineer will work closely with the data science, finance, and clinical operations teams to design intelligent, automated data solutions that power care decisions, financial planning, and operational efficiency. AI augmentation is not optional — it is the standard working mode.

Cortica is a rapidly growing healthcare company pioneering the most effective treatment methods for children with neurodevelopmental differences. Our mission is to design and deliver life-changing care – one child, one family, one community at a time. Ultimately, we envision a world that cultivates the full potential of every child. At Cortica, every team member is instrumental in helping us achieve our mission!

Our culture and values guide how we work and treat one another. Cortica celebrates diversity and fosters an inclusive environment, seeking ideas and opinions from everyone on the team. We safeguard equal rights and respect for all individuals, regardless of race, color, religion, sex, national origin, age, disability, creed, genetic information, sexual orientation, gender identity or expression, ancestry, veteran status or other applicable, legally protected characteristics. All Cortica employment decisions are made based on an individual’s qualifications and ability to successfully perform the job responsibilities.

What will you do?

Full Lifecycle Project Ownership:

• Engage stakeholders directly to gather, clarify, and document project requirements.
• Translate requirements into architected data solutions: choose the right storage, pipeline, modeling, and delivery approach for each problem.
• Own testing end-to-end — unit tests, data quality checks, reconciliation, and integration tests before anything reaches production.
• Deploy solutions to production and monitor post-deployment health, iterating rapidly based on real-world feedback.

AI-First Data Engineering: 

• Run parallel AI coding sessions (Claude Code, Cursor, Codex) across different facets of a pipeline simultaneously — orchestrate, verify, and integrate the outputs.
• Build and maintain context files (CLAUDE.md equivalents) for data projects that encode schema conventions, pipeline patterns, and institutional knowledge — making every future AI session smarter.
• Design verification loops: automated data quality checks, dbt tests, CI hooks, and pipeline monitors that give AI agents concrete feedback on correctness. • Build MCP (Model Context Protocol) or equivalent integrations to connect AI agents directly to Snowflake, Amazon Athena, Postgresql, MySql, Power BI APIs, Salesforce, and internal tooling.
• Prefer frontier models for complex architectural decisions and rely on AI acceleration to dramatically increase engineering throughput.

Data Platform & Pipeline Engineering:

• Design and build complex, reliable data pipelines ingesting from AWS, Azure, Salesforce, MuleSoft, and multiple third-party APIs into our AWS Data Lake and Snowflake warehouse.
• Implement and evolve data models using Kimball methodology to support financial, operational, and clinical analytics.
• Optimize pipeline performance, manage data quality, and perform root-cause analysis on data anomalies — internal and external. • Develop and maintain orchestration workflows in Python, and AWS Glue.
• Continuously evolve the data schema as business and engineering requirements change.

Analytics & Reporting Enablement:

• Build and support Power BI data models and reports; empower analytics team members to self-serve on a reliable data foundation.
• Work with data analysts and data scientists to build reusable, well-documented pipeline components they can extend independently.
• Deliver data products that drive clinical care decisions, financial planning, and operational performance improvements.

Application Development:

• Build lightweight internal data applications and tooling where needed; data entry interfaces, operational dashboards, automation scripts that bridge the gap between data pipelines and end users.
• Design for agentic workflows: build AI-powered data tools accessible via web interfaces or Slack that surface insights proactively.
• Integrate with Salesforce Health Cloud and other platforms using APIs and event-driven patterns.

Security, Governance & Collaboration: 

• Ensure data security and HIPAA compliance in all pipeline and application work. Partner with IT to enforce data governance standards.
• Document decisions, tradeoffs, and architecture clearly so that future engineers (and AI agents) can build on your work effectively.
• Collaborate across IT, finance, clinical operations, and data science — acting as the connective tissue between data infrastructure and business outcomes.

We’d love to hear from you if:

• You have 5+ years of hands-on data engineering experience, including building and operating production data pipelines.
• You have expert-level Python skills for ETL, pipeline orchestration, and automation.
• You possess deep SQL proficiency — query optimization, data modeling, stored procedures.
• You bring 2+ years’ experience working with AI first development workflows.
• You bring 4+ years’ experience with the following AWS (S3, Glue, Lambda, Redshift), and/or Azure big data services.
• You have 1+ year of experience with Snowflake.
• You have 2+ years of experience with orchestration frameworks.
• You have 2+ years of Salesforce experience with Apex and configurations.
• You’re experienced with Kimball dimensional modeling — you've built star schemas and conformed dimensions in production.
• You have Power BI (or equivalent BI tool) experience — data model design and report development.
• You have API integration experience — REST, GraphQL, event streaming (Kafka, Kinesis, or similar).
• You possess application development literacy — comfortable building lightweight web tooling (Python/Flask, Node, or similar) to complement data products.
• You reside in one of the following states: CA, TX, NC, WA, ID, NV, AZ, CO, KS, AR, LA, AL, GA, FL, SC, TN, VA, MD, NJ, DE, IL, WI, MI, OH, MA, PA, NH, CT

Your Compensation & Benefits

Cortica cares deeply about the well-being of each member of our team, and we have created a passionate, caring, and growth-minded culture that helps teammates thrive! As a Cortica teammate, we’ll support your well-being through medical, dental, and vision insurance, a 401(k) plan with company matching and rapid vesting, paid holidays and wellness days, life insurance, disability insurance options, tuition reimbursements for professional development and continuing education, and referral bonuses. We value you and the experience you bring to your role, and are proud to provide you with a compensation and benefits package designed to enhance all aspects of your life.

The base pay range for this opening is $160,000 to $200,000. According to your skill level, relevant experience, education level, and location, you will receive compensation that fits appropriately within the range. EOE. This posting is not meant to be an exhaustive list of the role and its duties.

Privacy Notice 
Cortica is committed to protecting your personal information in compliance with applicable federal and state laws. Please review our Privacy Notice to understand how your data is collected, used, and protected. 

E-Verify Participation 
This employer participates in E-Verify. Click here to view the E-Verify Poster and your Right to Work. 
Este empleador participa en E-Verify. Este empleador participa en E-Verify. Haga clic aquí para ver el cartel de E-Verify y su derecho a trabajar. 

#LI-NF1

#LI-Remote

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

Metropolis is seeking a Senior AI Engineer to join our Applied AI organization, a team purpose-built to rebuild how the company operates from an AI-first perspective. You will be the builder at the heart of this transformation, designing and shipping AI-powered tools and automation pipelines that replace manual, repetitive work across finance, operations, revenue, and beyond. This is a hands-on engineering role with enormous scope: you will own systems end-to-end, from the LLM prompt layer through to production deployment, working side-by-side with Process Analysts who understand the business deeply. If you want to see your work directly change how a company functions — not someday, but now — this is the role.

What you'll do

• Design, build, and ship AI-powered automation tools and internal applications that transform manual business processes into AI-first workflows
• Architect and maintain LLM-based systems, including prompt pipelines, agentic workflows, tool-calling integrations, and retrieval-augmented generation (RAG) setups
• Build and maintain data pipelines that connect source systems (Snowflake, internal APIs, SaaS tools) to AI workflows, ensuring data quality and reliability
• Partner with Process Analysts to understand how business functions work today, translate requirements into engineering specifications, and iterate based on real user feedback
• Own production reliability for the systems you build — monitoring, alerting, and iterating on AI outputs to maintain quality over time
• Evaluate and integrate emerging AI tooling (models, frameworks, APIs) to ensure Metropolis is always leveraging the best available capabilities
• Contribute to internal standards for AI development: prompt management, evaluation frameworks, model selection, and system architecture

What we're looking for

• 6+ years of software engineering experience, with 2+ years of hands-on experience designing, building, and deploying LLM-based or AI-powered applications in production
• Strong Python skills — you write clean, maintainable code and are comfortable building APIs, data pipelines, and backend services
• Practical experience with LLM APIs (OpenAI, Anthropic, or similar), prompt engineering, and agentic patterns (function calling, multi-step reasoning, tool use)
• Familiarity with data engineering fundamentals: SQL, data transformation, working with cloud data warehouses (Snowflake preferred)
• Experience with workflow orchestration tools (e.g., Airflow, Prefect, or similar) and cloud infrastructure (AWS preferred)
• A strong instinct for product quality — you care about whether the tools you build are actually useful, not just technically functional
• Ability to work autonomously in a fast-moving environment, manage competing priorities, and ship iteratively rather than waiting for perfection

While not required, these are a plus:

• Experience with vector databases, embeddings, or semantic search is a plus

Our Stack

• Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
• Datastores: MySQL, PostgreSQL, Snowflake
• Cloud: AWS
• Version control: Git & GitHub
• AI Tooling: Copilot on GitHub and Claude Code
• Observability: Datadog

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $170,000.00 USD to $200,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-CM1 #LI-Onsite

We are looking for a Staff Golang Developer to join our Platform Convergence team. This is a hybrid role based in either San Jose, CA or Bellevue, WA (3 days a week), reporting to the Sr. Director of Software Engineering within the Engineering department. You will bring your vision and passion to a team of architects and engineers building the world’s largest cloud security platform. You will help organizations worldwide harness speed and agility through a cloud-first strategy and a robust multitenant architecture.

What you’ll do (Role Expectations)

• Design, and implement scalable, high-performance backend services and APIs using Go while integrating with PostgreSQL, MySQL, MongoDB, and Redis
• Ensure code quality through unit, integration, and performance testing while monitoring and optimizing system performance
• Partner with external teams to deliver integrated solutions and ensure seamless system functionality across the platform
• Drive project success by contributing to Agile/Scrum processes, including sprint planning and retrospectives
  
  

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution
• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust
• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose
  
  

What We’re Looking for (Minimum Qualifications)

• 5+ years of experience with proficiency in Golang, including expertise in concurrency, parallelism, GRPC, and Protobuf
• Skilled in building large-scale distributed systems, RESTful API design, and web frameworks like Gin and Echo
• Hands-on experience with Docker, Kubernetes, and cloud platforms such as AWS, GCP, or Azure
• Solid understanding of SQL and NoSQL databases along with CI/CD pipeline implementation
• Exceptional problem-solving skills and attention to detail for designing robust technical solutions
  
  

What Will Make You Stand Out (Preferred Qualifications)

• Experience with systems languages like Rust or C/C++, particularly in performance-critical environments
  
  

#LI-Hybrid #LI-JM1

Role Overview

ID.me is seeking a Staff Software Development Engineer to join the Person Resource team and design and build the core services that define and manage a person's identity within our platform. This includes ownership of the data models, APIs, and systems responsible for person creation, attributes, and profiles.

As a Staff Engineer, you will play a key role in architecting and scaling the Person platform to ensure it is secure, consistent, and performant across ID.me's ecosystem. You'll design APIs and services that serve as the source of truth for personal data, working across identity, verification, and platform teams to deliver a scalable and high-performance API that enables the interoperability and integrity of digital credentials used by millions of users and trusted partners.

This position will be based full-time in either our McLean, VA or Mountain View, CA office.

Key Responsibilities

• Design and implement Person Services, managing attribute bundles and trust for the Person entity.
• Build RESTful and GraphQL endpoints that meet strict standards for reliability, latency, and security, and integrate seamlessly with both internal and external systems.
• Develop robust data models and storage patterns to represent provenance and relationships across relational and graph databases.
• Implement credential lifecycle flows — including creation, validation, renewal, and revocation — integrated with ID.me's identity verification and attribute validation systems.
• Ensure the security and privacy of Person data through strong authentication, authorization, encryption, and audit practices.
• Collaborate closely with Platform, Identity, Security, and Partner Engineering teams to deliver end-to-end features and integrations.
• Write high-quality, maintainable, and well-tested code, including automated tests and observability instrumentation.
• Contribute to system design discussions, code reviews, and technical documentation to drive clarity and alignment across teams.
• Continuously optimize performance, scalability, and reliability for Person services in production environments.
• Mentor and support senior and mid-level engineers, helping grow technical depth and team capability.
• Stay current on emerging identity and credentialing standards (e.g., Verifiable Credentials, Decentralized Identifiers, OIDC extensions) and bring new ideas into the product.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience).
• 8+ years of professional experience developing backend services and APIs in production environments.
• 8+ years of experience in at least one backend language (Python, Go, or Java) and with modern frameworks.

Preferred Qualifications

• Demonstrated expertise in building and operating public-facing REST or GraphQL APIs at scale.
• Deep experience with relational databases (e.g., PostgreSQL) and NoSQL or graph data stores.
• Solid understanding of distributed systems concepts, caching, asynchronous processing, and cloud-native patterns.
• Experience implementing authentication and authorization (OAuth2, OIDC, JWT, or custom schemes).
• Proven ability to design, document, and evolve APIs used by multiple internal and external consumers.
• Familiarity with identity and credential verification systems, including data validation, proofing, or trust scoring.
• Experience with cloud infrastructure (AWS, GCP, or Azure), including containerization and deployment pipelines.
• Knowledge of event-driven architectures (Kafka, SNS/SQS) and patterns for decoupled service communication.
• Exposure to digital credential and identity standards (e.g., Verifiable Credentials, Decentralized Identifiers, W3C DID specs).
• Experience with API gateway technologies (e.g., Kong, Apigee, AWS API Gateway).
• Strong debugging and performance optimization skills in complex production systems.
• Contributions to open-source backend or identity-related projects are a plus.
• Experience in regulated or high-assurance domains (government, financial, or healthcare systems) is advantageous.

Role Overview

ID.me is seeking a Software Development Engineer III to join the Credential API team and contribute to the design and development of our credentialing platform — the API that issues, retrieves, and manages validated credential bundles (e.g., verified passport, driver's license, validated domain, verified face) for both people and organizations.

In this role, you will work on backend services and APIs that underpin ID.me's identity trust layer, collaborating with identity, verification, and platform teams. You will contribute to secure, scalable, and high-performance systems that enable the interoperability and integrity of digital credentials used by millions of users and trusted partners.

This position will be based full-time in our Mountain View, CA office.

Key Responsibilities

• Contribute to the implementation of the Credential API and its core services that issue, fetch, and manage credential attribute bundles for entities such as Person or Organization.
• Build and maintain RESTful and GraphQL endpoints that meet standards for reliability, latency, and security, integrating with both internal and external systems.
• Develop and maintain data models and storage patterns to represent credential provenance and relationships across relational and graph databases.
• Implement credential lifecycle flows — including creation, validation, renewal, and revocation — integrated with ID.me's identity verification and attribute validation systems.
• Ensure the security and privacy of credential data through authentication, authorization, encryption, and audit practices.
• Collaborate with Platform, Identity, Security, and Partner Engineering teams to deliver end-to-end features and integrations.
• Write high-quality, maintainable, and well-tested code, including automated tests and observability instrumentation.
• Participate in system design discussions, code reviews, and technical documentation to drive clarity and alignment across teams.
• Optimize performance, scalability, and reliability for credential services in production environments.
• Stay current on emerging identity and credentialing standards (e.g., Verifiable Credentials, Decentralized Identifiers, OIDC extensions) and bring new ideas into the product.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience).
• 4+ years of experience developing web applications using OOP languages such as Java, Ruby, JavaScript, TypeScript, Go, Python, Rust, or C++.
• Experience building systems and services in a containerized, cloud-based, infrastructure-as-code driven ecosystem.
• Exposure to GCP utilizing Docker, Kubernetes, or Nomad.
• Proven ability to deliver features end to end, including automated test coverage, observability, monitoring, and documentation.
• Ability to communicate technical tradeoffs clearly and work collaboratively within a team.
• Proficiency with AI-assisted development tools (e.g., GitHub Copilot, Cursor) to accelerate delivery and code quality.

Preferred Qualifications

• Familiarity with building and consuming REST or GraphQL APIs in production environments.
• Experience with relational databases (e.g., PostgreSQL) and exposure to NoSQL or graph data stores.
• Understanding of distributed systems concepts, caching, asynchronous processing, and cloud-native patterns.
• Exposure to authentication and authorization standards (OAuth2, OIDC, JWT, or custom schemes).
• Familiarity with identity and credential verification systems, including data validation, proofing, or trust scoring.
• Experience with cloud infrastructure (AWS, GCP, or Azure), including containerization and deployment pipelines.
• Exposure to event-driven architectures (Kafka, SNS/SQS) and patterns for decoupled service communication.
• Familiarity with digital credential and identity standards (e.g., Verifiable Credentials, Decentralized Identifiers, W3C DID specs).
• Experience in regulated or high-assurance domains (government, financial, or healthcare systems) is a plus.

Founded in Silicon Valley in 2009 by Marc Andreessen and Ben Horowitz, Andreessen Horowitz (aka a16z) is a venture capital firm that backs bold entrepreneurs building the future through technology. We are stage agnostic. We invest in seed to venture to growth-stage technology companies, across AI, bio + healthcare, consumer, crypto, enterprise, fintech, games, and companies building toward American dynamism. a16z has $100B+ under management across multiple funds.

We’ve established a team that is defined by respect for the entrepreneur and the company-building process; we know what it’s like to be in the founder’s shoes. We’ve invested in companies like Anduril, Airbnb, Coinbase, Cursor, Databricks, Deel, Figma, GitHub, Roblox, SpaceX, and Stripe. Our team is at the forefront of new technology, helping founders and their companies impact and change the world.

The Role

You will join a fully functional team of experienced individual contributors building internal software tools for the firm’s investing and operations teams. You are a detail-oriented backend engineer with a strong interest in developing feature-rich, data-driven applications. Your work will focus on identifying, acquiring, and normalizing alternative data sources, and on designing and implementing secure, scalable backend systems that power our internal products.

The Applied Software Group operates in the mode of an internal startup. We own a tight feedback loop with our users and take on requests from all corners of the firm. This role offers meaningful ownership, frequent opportunities to ship, and close collaboration with experienced engineers who will support your growth and development.

This role requires an in-office presence 2-3 days a week in our San Francisco, CA office.

To join our team, you should be excited to:

• Build and maintain backend services that support internal data products and applications
• Work closely with investing and operations teams to understand workflows and translate requirements into reliable software solutions
• Contribute to the design and implementation of new features and systems, with guidance from more experienced engineers as needed
• Ship new data products iteratively, incorporating user feedback to continuously improve functionality and performance
• Take ownership of assigned services or projects, from development through production support
• Write clear, well-structured, and maintainable code
• Collaborate positively with teammates and contribute to an inclusive, supportive engineering culture
• Stay curious about new tools, technologies, and approaches relevant to backend and data systems

Minimum Qualifications

• 3+ years of professional software engineering experience
• Strong proficiency in Python 3 (or another backend language) and willingness to learn new technologies
• Experience deploying production services on at least one major cloud platform (GCP, AWS, or Azure)
• Experience working with production SQL and NoSQL databases (e.g., PostgreSQL, MySQL, Elasticsearch)
• Experience building and deploying containerized services; familiarity with Kubernetes is a plus
• Experience working in environments that value rapid iteration, code quality, and operational excellence
• Strong problem-solving skills and solid technical fundamentals
• Low ego, high empathy, and the capacity to collaborate effectively with diverse teams

The anticipated salary range for this role is between $269,000 - $314,000, actual starting pay may vary based on a range of factors which can include experience, skills, and scope.

This role is eligible to participate in the a16z Carry program and various discretionary bonus programs as well as benefit and perquisite plans including health, dental, vision, disability, life insurance, 401K plan, vacation, and sick leave.

About the Team:

Relativity Space is on a mission to better connect humanity to space and the universe beyond our planet. With decades of experience scaling world-class technology organizations like Google, CEO Eric Schmidt is guiding Relativity into its next phase: advancing Terran R toward launch and building the foundation for long-term impact. 

The Terrestrial Software team is building the foundation for an automated rocket factory and integrated launch platform. Their mission is to automate and streamline workflows across the entire lifecycle of Terran R, from raw material intake to launch operations and eventually manufacturing on Mars. Today, that means partnering directly with teams across design, materials, manufacturing, and test and launch to design, implement, and deploy end user enterprise-wide applications, industrial automation, data analytics infrastructure, and next-generation AI to solve real problems and accelerate progress. Long term, the team is laying the groundwork for a modular, scalable software platform that can power highly autonomous operations on Earth and beyond. This is a team for builders and thinkers who thrive on cross-functional impact and want to shape the digital backbone of our future in space.

About the Role:

Design, develop, and lead the creation of core data components of our factory and launch software platform, including:

• Data technology abstraction and API development.
• Analytics and reporting architectures.
• Data modeling, management, and development.
• Cloud and on-prem application / services / API development.

In this role, you will be responsible for driving the development of a distributed data platform spanning launch and factory components. You’ll design and create technologies enabling data ingress / egress for the launch vehicle, as well as core factory tools such as our Stargate printers. You'll make key tradeoff decisions, mentor junior engineers, build new systems and tooling, and recommend / drive high impact across existing systems.

About You:

• Degree in Computer Science, Computer Engineering, Electrical Engineering, or related field.
• 6+ years of experience implementing code level patterns to enable codebases and teams to scale, with 1+ years of experience leading data architectures at scale.
• 4+ years of experience leveraging an array of data technologies including one or many of the following: InfluxDB, MongoDB, Redis, PostgreSQL, Cassandra, Kafka, Spark, and more.
• 4+ years of experience with at least one of C++, Go, Python, C#, or Typescript.
• Familiarity with agile methodologies.
• Familiarity with containerization and deployment technologies like Kubernetes and Docker.

Nice to haves but not required: 

• Experience with AI technologies, including machine learning and related tools or frameworks.
• Demonstrated ability to create scalable architectures across an array of usage patterns and organizations.
• Demonstrated ability to learn, grow and mentor others to drive best practices and/or accelerate development lifecycles.
• Demonstrated ability to plan organizational roadmaps and hiring strategies.
• Familiarity with other modern languages like Go and Rust.

Role 

We are looking for a Software Engineer (Reliability) to join our team in San Jose, CA, reporting to the Vice President of Engineering. This is a hybrid role three days a week onsite within the Service Platform Automation department.

You will build and operate the orchestration and reliability automation that manages ZIA’s fleet lifecycle at massive scale. This is a high-ownership role: you will design and implement orchestration workflows and the supporting services needed for safe, deterministic, idempotent fleet operations—while helping the team evolve toward AI-first execution and operations.

What you’ll do (Role Expectations)

• Replace legacy Python/Ansible with a centralized, deterministic orchestration platform, refactoring automation into modular, well-defined workflows while retiring external dependencies and nested logic

• Engineer execution patterns with retries, idempotency, rate limits/backpressure, and safe rollbacks/compensation designs aligned to global fleet capacity

• Implement safe rollouts using segmentation, canaries, and automated health checks to limit blast radius during fleet-wide upgrades and remediation

• Add strong observability and auditability (metrics, traces, replayable histories), participate in on-call rotation, and drive software based fixes to reduce toil following post-incident reviews

• Integrate AI/LLM capabilities to accelerate legacy code migration and enhance safe operational outcomes through intelligent triage, correlation, and automated runbook generation

Who You Are (Success Profile)

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

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

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

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

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

What We’re Looking for (Minimum Qualifications)

• BS/MS in Computer Science or a related technical field with 5+ years of experience building and operating production-grade software systems

• Strong proficiency in backend/systems languages (Go, Java, C++, or Rust) with the ability to write high-quality, maintainable code

• Deep experience designing and operating distributed systems, including concurrency, failure handling, performance optimization, and data modeling

• Proven track record of building automation using REST APIs and Swagger with strong guarantees for idempotency, verification, and safe rollout patterns

• Hands-on experience with cloud platforms (AWS/GCP, GKE, Cloud SQL etc.) and proficiency in containerization and CI/CD workflows using Docker and GitLab

What Will Make You Stand Out (Preferred Qualifications)

• Experience with Temporal (or similar platforms) to architect large-scale fleet systems for patching, upgrades, and remediation using deterministic, health-gated workflows and replay-safe designs

• Testing discipline for orchestration and state machines, including E2E harnesses, determinism verification, fault injection, and chaos engineering to ensure system reliability

• Proficiency in PostgreSQL, including SQL development and schema management, to power high-scale, stateful management-plane services and workflows

#LIHybrid #LI-BH1

The Commerce Platform team builds the commercial engine that makes that network a real business. We create the tools and integrations partners use to run their business with Zipline, the marketplace logic that connects demand to supply, and the financial infrastructure that ensures every transaction is correct and every dollar is traceable. This platform needs to scale across metros, countries, and verticals (restaurants, retail, and healthcare) handling millions of orders per day.

What you will own

You will own software across the full commercial stack, including:

• Merchant Portal - the web portal partners use to manage their Zipline business day to day
• Partner integrations - Point of Sale connectors, API integrations, and data feeds that connect merchant systems to the Zipline platform
• Marketplace Platform - internal tooling that controls how demand is prioritized, priced, and distributed across the network
• Billing Engine - the financial backbone that manages payments, commissions, settlements, and revenue flows across the marketplace
• Fulfillment apps - mobile and cloud applications for picking and loading execution at partner locations
• Customer support tooling - AI-powered support systems integrated with order, delivery, and billing infrastructure
• Serviceability & coverage tools - internal platforms for understanding and modeling where Zipline can serve customers

Hard Problems, Real Ownership

Most software roles optimize a single surface. The Commerce Platform spans consumer product, marketplace logic, partner tooling, fulfillment, and financial infrastructure.

You will work on problems like:

• How do we give merchant partners real-time operational visibility, self-serve onboarding, and financial clarity without fragmenting the system across verticals?
• How do we design marketplace policy controls that let operators safely change pricing, capacity allocation, and prioritization, with experimentation before production?
• How do we build a billing engine that traces every dollar from customer charge through partner payout across promotions, refunds, revenue shares, and multi-jurisdiction tax?
• How do we build AI-powered customer support that can actually take action, issuing refunds, applying credits, explaining delays using live mission data, rather than just surfacing information?
• How do we keep unit economics visible and margin protected as volume scales across partners, verticals, and geographies?

These systems are live and consequential. The work you do on them directly shapes the customer experience, partner success, and commercial performance of the network.

How we work

This team operates with high ownership, high trust, and a high technical bar. Engineers are expected to identify important problems, form a clear view of how the system should work, and drive solutions from concept through production.

We also expect engineers to use AI tooling effectively as a force multiplier across exploration, implementation, and debugging, while maintaining strong engineering rigor, judgment, and accountability.

What you will bring

You are likely a strong fit if you:

• have a track record of building and shipping production software across the full stack, from consumer-facing interfaces to backend services and data pipelines
• can hold both product instinct and systems judgment at the same time - you care about the user experience and the architecture that makes it reliable at scale
• understand marketplace dynamics: ordering flows, pricing logic, financial correctness, and the tradeoffs between them
• can simplify complexity, define durable abstractions, and improve the architecture around you
• thrive working across product boundaries (e.g. consumer, partner, internal tooling, and financial systems) without losing coherence
• want to shape architecture and product direction, not just implement scoped features

Our current stack includes Go, Python, React, gRPC, Kafka, PostgreSQL, AWS, Bazel, Grafana, and Honeycomb, but we value engineers who can learn new tools quickly and focus on solving the right problems.

We lean heavily into AI-assisted and agentic engineering workflows, and we're excited to work with engineers who use modern AI tooling to amplify their productivity while maintaining high standards for system design and code quality.

What Else You Need to Know   

About the Role

We’re building the systems that power Zipline operations end-to-end, giving us the ability to design faster, smarter workflows, connect data across the business, and remove the friction that slows teams down.  The Enterprise Systems team builds the software that connects manufacturing, supply chain, finance, inventory, hardware quality assurance, and field operations into a single operational nervous system. These systems directly shape how quickly and effectively Zipline can manufacture, test, deploy, and operate our global drone fleet.

Most companies adapt their operations to fit off-the-shelf enterprise software. At Zipline, we’re building our systems ourselves so the software can evolve with the business. Our philosophy is simple: business processes should inform system design, not the other way around. By owning these systems ourselves, we can rapidly iterate on workflows, automate complex operations, and continuously improve how the company operates as we scale.

Engineers on this team own the product and work directly with the end users who rely on these systems every day, from manufacturing and supply chain teams to field operators running our delivery network. This proximity to real operations allows engineers to identify problems first-hand, design and build solutions end-to-end, and deliver systems that have immediate impact across the company.

Why This Role Is Unique

Enterprise Systems at Zipline sits at the intersection of software and real-world operations. The systems this team builds determine how efficiently we manufacture aircraft, move inventory, maintain traceability, deploy assets, and support a growing global delivery network.

• Build ERP from scratch. You’ll design and build the core systems that power Zipline, instead of configuring third-party systems.
• Extreme ownership. Engineers own problems end-to-end: identifying operational pain points, designing solutions, building systems, deploying them to production, and driving adoption across the business.
• Embedded with real operations. Engineers work directly with manufacturing, supply chain, finance, and field operations teams to understand workflows firsthand and build systems that solve real problems.
• AI-accelerated engineering. We lean heavily into AI and agentic workflows, taking advantage of the latest capabilities to accelerate development. Engineers effectively leverage and orchestrate AI tooling to increase velocity, quality, and throughput while maintaining strong engineering rigor.

Hard Problems, Real Ownership

Most software roles focus on building isolated features or optimizing digital experiences — this role is different. You’ll build the operational nervous system of the company, owning core business problem spaces that enable Zipline to manufacture, source, scale, and operate its global drone fleet.  95% of the company will use the tools that you build.  

You will solve problems like:

• How do we scale our manufacturing systems and tooling to increase production rates by orders of magnitude without scaling labor costs exponentially?
• How do we plan, execute, and automate manufacturing and supply chain systems to support aggressive fleet growth and increasing operational complexity?
• How do we build a trusted, end-to-end traceability system that captures the full lifecycle of every part — from design to production to operation?
• How do we create a true single source of truth across systems so data is consistent, reliable, and never fragmented?
• How do we design platforms that scale with the business without becoming bottlenecks for critical operational workflows?

What We’re Looking For

We care far more about how you approach problems than about experience with any specific technology.  Strong candidates for this role typically have:

• Experience building and shipping production software systems
• Strong full-stack engineering fundamentals
• Ability to design scalable systems and services
• Comfort working directly with stakeholders to understand problems and define solutions
• Ownership mindset and the ability to drive projects end-to-end
• Interest in improving operational workflows and building systems that power real-world operations

Our current stack includes technologies such as Python, Go, React, gRPC, Kafka, PostgreSQL, AWS, Bazel, Grafana, and Honeycomb, but we value engineers who can learn new tools quickly and focus on solving the right problems.

We also lean heavily into AI-assisted and agentic engineering workflows, and we’re excited to work with engineers who are interested in using modern AI tooling to amplify their productivity while maintaining high standards for system design and code quality.

What Else You Need to Know   

Why this role matters

We’re building the mapping infrastructure that powers every Zipline flight. Maps Platform engineers build the backbone that serves geographic data, features, and map-driven services to Zipline’s products and operators.

You’ll make map data fast, accurate, and reliable for both human workflows (map editors, operator dashboards, regulatory UIs) and autonomous systems (routing, onboard systems). This role mixes backend, data, platform engineering and user interface design with pragmatic production ownership.

Why this role is unique

• Own the foundation of flight intelligence. The systems you build directly power how aircraft understand and navigate the world.
• Massive data challenges. You’ll design pipelines that process and serve large-scale geospatial datasets with strict requirements for accuracy, consistency, and availability.
• End-to-end ownership. From raw data ingestion to production services, you’ll build systems that are critical to real-world operations.
• Cross-functional impact. Your work will be used across autonomy, routing, simulation, and operations.
• AI-accelerated engineering. We leverage modern AI and agentic workflows to increase engineering velocity while maintaining strong system rigor.

What you’ll bring

We care far more about how you approach problems than experience with any specific technology. Strong candidates typically have:

• Experience building and operating large-scale data pipelines
• A track record shipping reliable services and APIs
• Extreme ownership mindset with the ability to drive projects end-to-end
• Experience working with large datasets and designing reliable data processing logic
• Familiarity with data modeling, data quality, and validation in production systems
• Comfort working with cross-functional teams and integrating systems across domains
• Strong backend or distributed systems engineering fundamentals
• Experience with geospatial systems, mapping technologies, or GIS tooling is a plus, but not required.

Our current stack includes technologies such as Go, Python, PostgreSQL/PostGIS, Kafka, and AWS, but we value engineers who can learn quickly and focus on solving the right problems.

We also lean heavily into AI-assisted engineering workflows and are excited to work with engineers who use modern tools to amplify productivity while maintaining high standards for system design and data quality.

What Else You Need to Know   

Responsibilities

We are hiring a Senior Infrastructure Engineer to join our Global Core Infrastructure team and help build and operate the global platform behind Workato.com/go. You will work closely with engineers in the US and across international teams to design, scale, and secure the systems that power Workato’s automation platform - trusted by thousands of enterprises and processing billions of events every day.

Role Overview

As a Senior Infrastructure Engineer, you’ll be part of the team responsible for the architecture, scalability, and reliability of Workato’s distributed cloud platform. You’ll design and optimize the systems that allow our services to run securely and efficiently at scale. This is a highly technical role that requires deep experience with cloud infrastructure, Linux internals, and large-scale distributed systems.

Responsibilities

• Design, build, and maintain a global, distributed, and resilient cloud infrastructure.

• Collaborate with US-based engineering teams to plan and deliver complex platform initiatives.

• Patch and optimize open-source components for performance and security.

• Develop low-level internal services using Linux syscalls and networking primitives.

• Manage and provision AWS infrastructure using Terraform and Kubernetes.

• Write and maintain Kubernetes manifests and deployment configurations for critical workloads.

• Improve and maintain CI/CD pipelines for scalable and secure component delivery.

• Tune Linux systems and open-source software for high performance and hardened security.

• Build internal tools to streamline engineering workflows and operational automation.

• Participate in architecture reviews, incident response, and performance analysis to ensure system reliability.

• Coordinate cross-team projects, ensuring smooth collaboration on shared goals.

• Collaborate with management to align engineering goals with company objectives.

• Perform a Tech Leader role for a group of engineers (planing, reporting, technical leading).

• Support the professional growth of other engineers by sharing knowledge and mentoring them.

Requirements

• 10+ years of experience in infrastructure or systems engineering roles.

• Proven expertise in distributed systems and cloud-native architectures.

• Strong understanding of Linux internals, including networking and system-level performance tuning.

• Experience operating infrastructure on AWS at scale.

• Proficiency with Terraform, Kubernetes. 

• Solid understanding of network security and cloud security best practices.

• Hands-on experience optimizing CI/CD workflows and automating deployments.

• Excellent analytical, troubleshooting, and communication skills.

• Experience mentoring and developing engineers, fostering professional growth, and promoting knowledge sharing across teams.

• Experience working as a technical leader - planning, reporting, and guiding engineering efforts within a team.

Nice to Have

• Experience with Golang for tooling or internal services.

• Familiarity with Kafka, Redis, ClickHouse, PostgreSQL, or similar technologies.

• Experience with observability tools such as Grafana, Prometheus, or VictoriaMetrics.

• Understanding of Vault or other secrets management systems.

• Contributions to or maintenance of open-source infrastructure projects.

Tech Stack

• AWS • Terraform • Kubernetes • Docker • Linux • Golang • ArgoCD • Kafka • PostgreSQL Redis • ClickHouse • Grafana • VictoriaMetrics • Vault

Why Join Us

• Build and operate a world-class cloud platform used by leading global enterprises.

• Collaborate with experienced engineers in the US and across international teams.

• Work in a highly technical environment focused on scalability, performance, and reliability.

• Contribute to an engineering culture that values ownership, craftsmanship, and innovation.
  
  Compensation:
  This is a full-time, exempt position with a salary range of $180,000.00 - $240,000.00 per year, depending on experience and qualifications. The package includes health insurance, paid time off, and a 401(k) plan.

Responsibilities

The Customer Engineering team sits at the intersection of Product Engineering and our Success and Support organization, acting as the highest technical escalation layer for our most critical customer issues. As a Customer-Centric Engineer on this team, you will own the end-to-end lifecycle of complex technical escalations — from root cause analysis through code-level fixes — while also driving long-term improvements to how Workato is built, debugged, and supported at scale.

This role requires both the depth of an engineer and the communication skills to work fluidly across engineering, support, and customer-facing teams. You will also play a key role in how we apply AI across our support workflows, tooling, and troubleshooting processes — finding practical ways to apply emerging capabilities to real operational problems.

You will be responsible for:

• Own complex technical escalations from Success and Support teams, applying expertise in programming, databases, APIs, and UI systems to resolve critical customer issues end-to-end

• Identify root causes using systematic troubleshooting techniques and deep access to R&D tooling, systems, and codebases

• Leverage AI tools and techniques — including LLM-assisted log analysis, code search, and pattern recognition — to accelerate root cause identification and reduce mean time to resolution (MTTR)

• Dig into source code to propose test cases, reproduce defects, and deliver fixes or recommend changes to Product Engineering

• Build and maintain internal diagnostic tools and utilities — including AI-assisted tooling — that improve mprove support efficiency and decrease time to resolution across Workato teams

• Communicate root cause analyses, workarounds, and resolution timelines to customer-facing teams within defined SLA windows to drive customer satisfaction

• Mentor Support engineers on technical concepts, debugging approaches, and best practices

• Author and maintain internal knowledge base to reduce repeat escalations and build team capability

• Build and maintain trusted relationships across Success, Product Engineering, and Infrastructure as a recognized technical expert

• Champion supportability and debuggability initiatives within Product Engineering, ensuring new features are designed with observability and diagnosability in mind

• Identify and drive AI-powered improvements across the escalation lifecycle — from triage and classification to documentation generation and knowledge base maintenance

Requirements

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Information Systems, or equivalent experience

• 3+ years of hands-on software engineering experience, including experience in a customer-facing or escalation engineering role

• Strong proficiency in Ruby (our team's core language)

• Strong understanding of network protocols and distributed systems

• Experience working in SaaS environments and with cloud infrastructure

• Experience working with relational databases (e.g., PostgreSQL) and NoSQL data stores

Nice to Have

• Experience building internal tooling or developer productivity infrastructure

• Hands-on experience applying AI or LLM technologies to engineering workflows — such as automated log triage, anomaly detection, code generation, or intelligent search

• Familiarity with observability platforms, log analysis, or APM tools

• Proficiency in one or more of Go, Python, or Java — particularly for scripting, automation, or service-level work

• Familiarity with Kafka, Redis, ClickHouse, PostgreSQL, or similar technologies

Soft Skills / Personal Characteristics

• Passionate about solving complex technical problems and recommending meaningful improvements to products and processes

• Excellent written and verbal communication skills — equally comfortable writing a clear and precise bug report, a knowledge base article, or presenting a root cause analysis to senior leadership

• Curious, detail-oriented, and personally invested in delivering high-quality work — proactively identify gaps and pursue them to resolution

• Comfortable working across engineering, support, and customer-facing teams on high-visibility issues where the impact is significant

For California & New York applicants, the estimated pay range for this role begins at $110,000 - $150,000 but candidates outside of this band are encouraged to apply.

(REQ ID: 2630)

About the Team

At Crunchyroll, our Cloud Reliability team within the Infrastructure Engineering team forms the foundation on which our services are built and directly influence our customer experience and the velocity of our engineers. Our team focus is to ensure that our developers are enabled, self-service, that everything about our infrastructure is automated and that our services are highly reliable and scalable. Cloud Reliability team members will engage directly with development teams on helping them become empowered and effective at delivering on our Infrastructure.

About the role

As a Staff DevOps Engineer within the Infrastructure Engineering team, you are essential in automating and scaling the systems and services that power our streaming platform. You will work with our DevOps team, delivery teams and lead projects related to infrastructure automation, scaling, CICD, driving them forward to completion and ensuring that the platform processes, automation and best practices are being followed. In collaboration with other engineers, you develop tools and systems that support services and facilitate high-quality software delivery and architecture / infrastructure. You are expected to be highly collaborative working across teams to understand the needs, establish best practices and automate them whenever possible. You will also play a key role in partnering with our development teams and understanding their needs and assisting them in their journey.

You will report to the Senior Manager, Cloud Reliability - Infrastructure Engineering. We are considering applicants for our Los Angeles, CA or San Francisco, CA offices. We work a hybrid schedule, in-office 3 days a week.

About you

The ideal candidate for the Staff DevOps Engineer role has a strong background in DevOps, automation, infrastructure as code and enabling software engineers to deliver independently and safely at scale. You have experience in building and scaling high-availability systems, with a focus on operational excellence. This role involves leading and mentoring other engineers, collaborating with cross-functional teams, and continually improving our technology platform and infrastructure. Your ability to excel in a collaborative environment sets an example for fellow engineers, contributing to a culture of high quality and standards in all aspects of our work.

Requirements:

• At least a Bachelor's degree in software engineering, computer science, information technology, information systems, or similar.
• 12+ years of relevant experience in DevOps and infrastructure management.
• 8+ years working in production environments, combining DevOps and software engineering.
• 5+ years of experience managing containerized infrastructure in ECS or Kubernetes.
• Proficiency in automation, creating reusable patterns and solutions.
• Expertise in GitOps practices and CI/CD, including tools like GHA & CodeDeploy and infrastructure automation within CI/CD.
• 5+ years experience in AWS and its major services such as ECS, S3, SQS, Lambda, containerization, utilizing Infrastructure as Code (IaC) such as Pulumi and Terraform.
• Proficient in programming in TypeScript with familiarity of other languages such as Go or Python.
• Familiarity with relational databases (e.g., PostgreSQL, MySQL) and non-relational databases (e.g., DynamoDB).
• Experience guiding software engineers in production best practices, sharing knowledge across teams.
• Design and deployment experience with data sovereignty-driven designs (e.g., GDPR).
• Collaboration with other engineers to build tools and systems supporting services and facilitating high-quality software delivery.

Pluses:

• Knowledge of streaming video delivery, video encoding workflows, video origin architecture, and issues of scale for video delivery.
• Familiarity with big data and payments domain.
• Understand security concepts such as cryptography, authentication, authorization, and security protocols.
• Experience with Vault, Packer or other HashiCorp tools.
• Knowledge, or working experience with GCP.

Why you will love working at Crunchyroll

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

#LifeAtCrunchyroll #LI-Hybrid

About the Team

The Data Services team is focused on building robust, scalable, and efficient data services, pipelines, lakes, tools, libraries, and software components that drive best practices and empower service teams to succeed. We design and implement data services, pipelines and data lakes for operational analysis, ensuring they are production-ready with automation and standardized access controls. 

We lead and evangelize the principle of 100% automation. Additionally, we establish best practices, provide training, and document data architectures to ensure our systems are reliable, future-ready, and capable of continuous evolution and process improvement across the organization.

About the Role

Crunchyroll is growing and changing, presenting unique challenges and opportunities to support millions of anime fans around the world. The Data Engineering team provides seamless help to our internal stakeholders, ensuring an exceptional experience for all Crunchyroll fans.

As a Software Engineer, you will play a pivotal role in designing, implementing, and optimizing data services, ensuring that our data services support the needs of the business. You will also collaborate with cross-functional teams to enhance eventing systems, and develop tools that empower our data and services teams. Your expertise will also be critical in driving 100% automation, best practices, creating scalable services, and optimizing our data environments.

Key Areas of Responsibility

• Write clean, maintainable, and well-documented API and code while adhering to industry best practices, including code reviews and design patterns.
• Identify and resolve performance bottlenecks, ensuring that both frontend and backend components are optimized for speed and reliability.
• Contribute to the automation and optimization of build, deployment, and monitoring processes to support a smooth development lifecycle.
• Develop and maintain comprehensive test suites (unit and integration) to ensure system reliability and robustness.
• Implement and maintain security best practices, safeguarding sensitive data and ensuring compliance with relevant standards and regulations.
• Must be proficient in both TypeScript and Python
• Design, build, and maintain scalable applications/services using TypeScript and Python and modern backend frameworks (Node.js preferred).
• Build event-driven architectures and event interfaces using AWS services such as SNS/SQS, EventBridge, Kinesis, or Kafka.
• Deep understanding of AWS Processing Framework like Step Functions
• Architect and optimize database schemas and queries for relational (RDS PostgreSQL, MySQL), NoSQL (DynamoDB) and Graph Database (Neo4j).
• Collaborate with service engineers, data engineers, and product teams to deliver high-quality software solutions.
• Apply best practices for code quality, security, testing, and performance optimization.

About you

We get excited about candidates, like you, because...

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 5+ years of experience in backend engineering, specializing in microservices, APIs, and event-driven systems.
• Strong expertise in TypeScript (Node.js) and Python.
• Experience in building applications/services using TypeScript and Python and modern backend frameworks (Node.js preferred).
• Deep understanding of cloud-based architectures (AWS preferred), including serverless frameworks, containerization (Docker, Kubernetes), and CI/CD pipelines.
• Hands-on experience with event-driven architectures and event interfaces (Kafka, SNS/SQS, EventBridge, Kinesis).
• Strong database design skills across relational (RDS PostgreSQL, MySQL), NoSQL (DynamoDB) and Graph Database (Neo4j).
• Excellent problem-solving skills, ownership mentality, and ability to work in a collaborative, fast-paced environment.

NIce to Have:

• Experience with retrieval-augmented generation (RAG) or Graph RAG architectures.
• Knowledge of fine-tuning and optimizing LLMs for performance and cost efficiency.

Why you will love working at Crunchyroll

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

#LifeAtCrunchyroll #LI-Hybrid

The Role:

We are looking for a skilled Lead Full-Stack Engineer (Tech Lead) to join our team. This role is both hands-on and leadership-oriented, requiring the ability to lead technical conversations, contribute to architectural decisions, and guide engineering efforts across the full stack. The ideal candidate will own end-to-end feature delivery, actively contribute to development, and play a key role in shaping technical direction by evaluating existing systems and driving architectural decisions that support future scalability. You will work closely with client stakeholders, product, and engineering teams, participating in ongoing discussions, providing technical insight, and ensuring alignment between business needs and technical execution.

Key Responsibilities:

• Own end-to-end feature delivery across the full stack (React, Node.js, database layer)
• Lead technical discussions with stakeholders and contribute to client-facing conversations around system design and implementation
• Design and drive architectural decisions including API design, data modeling, service boundaries, and caching strategies
• Evaluate existing systems and contribute to defining scalable, forward-looking solutions
• Set and maintain a high bar for code quality through reviews, tooling, and best practices
• Profile performance and debug issues across the stack, from browser to backend systems
• Design and maintain scalable search infrastructure, with a focus on Algolia
• Provide guidance to engineers and support coordination of development efforts across the team
• Participate in incident response, post-mortems, and long-term reliability improvements
• Collaborate cross-functionally with product, design, and leadership teams to deliver high-impact features

Requirements:

• 7+ years of experience in full-stack software engineering
• Proven ability to contribute to architectural decisions and system design in complex environments
• Hands-on experience leveraging AI tools (e.g., LLM-based assistants) to improve development workflows, including code generation, debugging, testing, and overall engineering efficiency
• Strong expertise in JavaScript and TypeScript
• Advanced experience with React (hooks, modern patterns, performance optimization)
• Strong backend development experience with Node.js
• Experience designing REST and/or GraphQL APIs
• Strong knowledge of relational databases (PostgreSQL preferred), including query optimization and indexing
• Experience with caching systems such as Redis
• Familiarity with authentication patterns (JWT, OAuth, session management)
• Experience with CI/CD pipelines and modern cloud environments (AWS, GCP, or Azure)
• Strong understanding of observability, logging, and system reliability
• Excellent communication skills with the ability to participate in technical discussions with both engineering teams and stakeholders

Nice to have:

• Strong hands-on experience with Algolia (highly preferred)
• Experience with Next.js, React Server Components, or micro-frontend architectures
• Experience with message queues (Kafka, RabbitMQ, SQS)
• Familiarity with serverless or edge runtimes
• Experience with Docker and containerized environments
• Exposure to Kubernetes or infrastructure-as-code tools (Terraform, Pulumi)
• Experience with domain-driven design or clean architecture principles
• Experience mentoring engineers or contributing to open-source projects

Location:

• Beverly Hills, CA (On-site 3 days per week)

Employment type:

• W2

What we offer:

• Unlimited PTO
• Health + Dental + Vision + Life Insurance
• Long Term disability + 401k Match
• Professional Development Opportunities

Expected Compensation

• 150k - 170k annual salary + benefits

*Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time

About This Role

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

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

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

Responsibilities

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

Basic Qualifications

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

Preferred Skills and Qualifications

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

Compensation

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

🚀SR SOFTWARE ENGINEER WANTED - DRIVE MEANINGFUL IMPACT AT HYPERGROWTH VENTURE🚀

Are you driven by impact, ownership, and a passion for elegant yet efficient systems?

⚙️What You’ll Do⚙️

• Build responsive frontend applications for complex ad operations workflows
• Deploy and maintain production cloud infrastructure (AWS/GCP/Azure) with CI/CD, monitoring, and scaling
• Collaborate on system architecture decisions supporting multiple AI agent integrations

🎮Technical Requirements🎮

Must-Have:

• Languages: JavaScript expertise with modern frameworks (React/Vue/Angular), Python expertise, and experience with at least one low-level language (C, C++, Rust, Zig, or similar)
• Experience: Building large-scale SaaS platforms from scratch; Cloud deployment and DevOps

Preferred Technologies:

• React/Next.js/Vue.js, FastAPI/Django/Flask, Docker/Kubernetes, PostgreSQL/MongoDB/Redis, Temporal/Airflow/Dagster), Kafka/RabbitMQ, AuthN and AuthZ

🧬Who You Are🧬

A driven overachiever with an owner mindset.

You're not just a coder - you're an architect who sees the big picture while mastering the details. You take pride in building high-quality systems that deliver results. You push yourself to solve problems others can't and constantly seek to expand your technical horizons.

💵Comp & Benefits 💵

Salary: 

$120-180k Base depending on experience

• Performance Bonus Eligible

Benefits include:

• Health, Dental, Vision coverage
• Unlimited PTO
• 401k + matching 
• Life Insurance
• Parental Leave
• And more ✨

🛸Why Join Us🛸

We're experiencing exceptional growth in a contracting market. We combine startup agility with established financial stability. You'll work on exciting challenges with a brilliant team of like-minded professionals who value both technical excellence and creative problem-solving. You'll have immediate impact on critical systems and clear paths for professional advancement.

This isn't just another job - it's your chance to build something meaningful with people who are as passionate and talented as you are.

🧩If this sounds like you - we’d love to talk! Apply here >>

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

We are seeking a Senior Software Engineer, Backend, to join our Advanced Technologies team. In this role, you will design, develop, and maintain scalable backend systems that integrate cutting-edge hardware with advanced machine learning to understand the behavior of objects in the real world. You'll work with a modern tech stack, including AWS, Java, Scala, gRPC and Protobuf, Redis, MySQL, PostgreSQL, Kubernetes, and Kafka, to deliver high-performance, reliable services. If you are excited about solving complex technical challenges and working at the intersection of distributed systems, real-time data processing, and scalable infrastructure, we would love to hear from you.

What you'll do

• Build robust, scalable, and maintainable backend services in Java and Scala to support mission-critical operations
• Design and implement gRPC APIs to enable high-performance, real-time data transfer between services
• Leverage Redis and MySQL for efficient data storage and retrieval, ensuring reliability and low-latency access
• Deploy and manage microservices on Kubernetes, optimizing for scalability, resilience, and cost efficiency
• Work with Kafka to build scalable, event-driven architectures for real-time data streaming and processing
• Partner with Hardware, Machine Learning, and Operations teams to ensure seamless integration across the ecosystem and provide appropriate tooling
• Analyze and address bottlenecks in performance and scalability while maintaining a focus on system reliability and data integrity

What we're looking for

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
• 8+ years of experience in backend development, preferably within platform or core services
• Proven expertise in industry-standard programming languages, preferably Java and Scala
• Experience building gRPC APIs for efficient and reliable communication between services
• Strong understanding of database design and optimization using Redis and MySQL
• Familiarity with container orchestration and scaling using Kubernetes
• Hands-on experience with Kafka for event-driven architectures
• Exceptional analytical skills with a proven ability to tackle complex technical problems and design innovative solutions
• A team player with excellent communication skills, a learning mindset, and a proactive approach to working across teams

While not required, these are a plus:

• Exposure to frontend integration with frameworks like Next.js

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $170,000.00 USD to 200,000.00 USD annually. The actual base pay offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base pay is one component of Metropolis’s total compensation package, which usually includes: healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-NM1 #LI-Onsite