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

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

The Application Modernization Platform (AMP) team is tackling one of the industry's most critical challenges: leveraging Generative AI to transform rigid, legacy applications into modern, microservices-based architectures powered by MongoDB.

We are building a comprehensive, SaaS-like platform, encompassing both the "brain" (multi-agent reasoning and orchestration) and the "hands" (the deployment platform and modernization toolset). This solution requires a robust platform foundation and infrastructure designed for a "build once, run anywhere" model, ensuring seamless operation regardless of a client's security or network constraints. A key challenge is balancing the need to tune our tools for each customer's unique tech stack and restrictive environments with making them easily extensible and scalable for common application modernization challenges.

We seek an engineering leader for this high-visibility initiative. This role requires defining the high-level strategy and technical direction across all AMP engineering pillars, leading the execution of solving uniquely complex application modernization puzzles, and delivering an enterprise-grade product. The leader will minimize deployment friction, meet customer compliance requirements, and help shape the future of how global enterprises leverage GenAI.

The ideal candidate is a hands-on technical leader who excels at leveraging GenAI capabilities, architecting complex distributed systems, and designing the orchestration agents necessary to reliably and fluidly run the entire software development lifecycle.

This role will be based in North America's West Coast (PST), and offers a hybrid working model.

The ideal candidate for this role will have

• 10+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure
• Deep experience in building data warehouses and core components for data processing systems
• Have experience in using GenAI in building complex large-scale systems, and know what GenAI is best suited to do
• Understanding of security-first design, specifically regarding the execution of untrusted code, fine-grain access control, and rigorous input validation
• 2+ years of experience leading, coaching, and mentoring a team of engineers to achieve high-impact results
• Excellent verbal and written technical communication skills and a strong desire to collaborate cross-functions
• Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity
• Curiosity, a positive attitude, and a drive to continue learning, in particular building AI skillset

Key Responsibilities

• Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement
• Provide thought leadership, and execute AMP roadmaps to influence and shape the future of how global enterprises leverage GenAI
• Lead the design and implementation of a sophisticated orchestration layer that manages authentication, telemetry, and the workflow of application modernization stages
• Lead the team design and leverage GenAI to build reliable and scalable building blocks that are extendable and easy to assemble to an autonomous workflow
• Collaborate with MongoDB product teams to ensure the modernized applications integrate seamlessly with customers’ database ecosystem
• Act as a hands-on leader, guiding the team through technical challenges related to where and how to leverage GenAI to build the critical building blocks of application modernization toolset

Success Measures

Within the first three months, you will have:

• Fully ramped up on our architecture, business domain, and the specific constraints of deploying software to large enterprise client environments
• Established yourself as the technical leader within the team, actively driving engineering strategy and key technical decisions
• Begun collaborating with team leaders (TLs, managers) of AMP org and product counterparts on designing/improving the orchestration framework and the workflow components it manages
• Developed a comprehensive grasp of all AMP pillars and their roadmap

Within six months, you will have:

• Influenced AMP product and engineering leads on key technical decisions, and set clear direction for the team
• Successfully led the team to making substantial progress on the “big rock” deliverables and critical milestones of AMP product, enabling the team to smoothly land the planned roadmap
• Owned and delivered some key pieces of AMP orchestration framework and the workflow components it manages
• Served as a role model and strategic leader for the AMP org
• Contributed to establish engineering excellence standards for the team, and began mentoring and providing technical guidance to team members

Within 12 months, you will have:

• Become recognized as the strategic engineering leader both within and outside of the AMP organization
• Helped senior leadership (e.g., Directors/VP) on defining the technical strategy and roadmap for the future
• Enabled the team to deliver a stable, production-ready platform that supports autonomous application modernization workflow for our Field Engineering teams
• Drove the adoption of engineering excellence, making it a core tenet of the team's culture and operations
• Contributed to the development of tech leads within the team, fostering growth opportunities. Played a key role in shaping the AMP organization into a self-driving high-performing engineering team

About MongoDB

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

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

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

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

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

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

Req. ID: 1273362664

MongoDB Technical Services Engineers use their exceptional problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Service Engineers are experts in the entire MongoDB ecosystem - database server, drivers, cloud and infrastructure. This also includes services such as Atlas (database as a service), or Cloud Manager (which helps customers with automation, backup and monitoring of their MongoDB systems). Our engineers combine their MongoDB expertise with passion, initiative, teamwork and a great sense of humor to achieve exceptional results for our customers.

The Federal Risk and Authorization Management Program (FedRAMP) is a US government-wide program that provides a standardized approach to security assessment, authorization, and continuous monitoring for cloud products and services. Our FedRAMP program requires that anyone who is accessing customer data or metadata inside the Authorization Boundary be a US Citizen on US Soil. In order for us to triage and assign cases, it is necessary to be able to identify available resources at any given time. For this reason the FedRamp team is composed of three separate shifts: first shift, second shift, and third shift. This posting is for Third Shift, in which your working hours would be 8pm-5am PST. There is a desired commitment to this shift though applicants must have the flexibility to work a more typical schedule (12pm-9pm PST) during their ramping period (between 6 to 9 months) before transitioning to Third shift.

Weekend Shift: We are looking to speak to candidates who are interested in working out of our West Coast offices under our flexible or remote working models, Monday to Friday for the first 6-9 months depending on ramping speed. Once considered ramped, they will transition to a permanent Wednesday to Sunday work week to provide weekend coverage alongside other peers. Saturdays and Sundays are considered fully online workdays and not an on-call shift. Due to the 24/7 nature of our support organization, certain events throughout the year will require volunteering for coverage outside one's normal work days or work hours (i.e. regional offsites, regional holidays, etc). These are typically announced weeks in advance with a sign-up system that considers equitability.

Cool things you’ll do

MongoDB is on a mission to change the way people think about databases. Along the way, our customers encounter questions and issues about how our approach to databases works for their use case. In Technical Services, it's our job to help these people.

You'll be working alongside our largest customers, solving their complex issues - resolving questions on architecture, performance, recovery, security, and everything in between. You'll be an expert resource on standard methodologies in running MongoDB at scale, whatever that scale may be. You'll be an advocate for customers' needs - working with our product management and development teams on their behalf. And you'll contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics. In addition, you will also be responsible for mentoring and ramping new team members and taking initiatives in building knowledge of new product lines within the MongoDB ecosystem.

What you need

We consider all candidates with an eye for those who are self taught, insatiably curious, and multi-faceted.

It’s important for candidates to check off these boxes:

• Systems engineering experience, including Linux performance, memory management, I/O tuning, configuration, security, networking, clusters, and troubleshooting
• Should have a good understanding of Networking concepts and protocols (DNS, TCP/IP, SSL/TLS, etc)
• Storage engineering experience, including NAS, SAN, SSD, multi-pathing, and caching
• Experience building and maintaining complex mission-critical production database systems
• Be able to read code, and basic coding/scripting ability in one or more languages: Java, Python, Ruby, C, C++, C#, Javascript, node.js, Go, etc
• Broad awareness of customer workloads and use cases, including performance, availability, and scalability
• Experience analyzing issues holistically, from the application tier through the database, down to the storage
• Genuine desire to help people
• Ability to think on your feet, remain calm under pressure, and solve problems in real-time
• Desire and ability to rapidly learn a wide variety of new technical skills
• Collaboration: willingness and ability to get help from team members when required, and the good judgment to know when to seek help

Bonus Points

• Experience managing large scale databases (e.g. RDBMS, NoSQL)
• Experience with authentication systems such as LDAP, Kerberos, AD
• Experience using or managing MongoDB
• Experience using distributed version control systems, and in particular git
• Experience using any cloud services stack such as AWS, Azure or GCP
• Experience with Kubernetes or other orchestration systems using vendor-specific Enterprise operators.

Success Measures

• In 3 months, you’ll have gained a deep understanding of MongoDB and its ecosystem. You will complete New Hire Training
• In 6 months, you will be comfortable working frontline with our customers. You will also complete the MongoDB Certified DBA Associate exam
• In 12 months, you will be a technical specialist within MongoDB and will be helping your peer engineers in advance diagnostics. Also, you will be encouraged to handle technical escalations independently

About MongoDB

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

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

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

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

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

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

Req ID: 1273373874

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

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

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

The ideal candidate for this role will have

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

Position Expectations

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

Success Measures

Within the first three months, you will have

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

Within six months, you will have

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

Within twelve months, you will have

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

About MongoDB

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

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

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

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

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

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

Req ID: 4263333172

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

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

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

The ideal candidate for this role will have

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

Nice to Have

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

Position Expectations

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

Success Measures

Within the first three months, you will have:

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

Within six months, you will have:

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

Within 12 months, you will have:

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

About MongoDB

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

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

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

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

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

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

REQ ID: 425547

We are looking for an AI Developer Advocate to join our Developer Relations team. In this role, you will help promote MongoDB's artificial intelligence (AI) capabilities. As more developers choose MongoDB as their data platform, your responsibilities will include directly engaging with the community, building strategic partnerships with AI companies, creating inspiring resources and content, and collaborating with a global team of skilled Developer Advocates.

You will empower developers—from startups to Fortune 500 companies—to integrate advanced data and AI capabilities into their applications and solutions. If you are passionate about helping builders explore the possibilities of AI and enjoy cultivating a vibrant developer ecosystem, we invite you to join us in shaping the future of development on MongoDB.

Our Developer Relations teams are distributed across the globe, with most members working remotely. This position will be based in the San Francisco Bay Area. To see what our team is doing, check out our content on YouTube, Dev, and Medium.

We are looking to speak to candidates who are based in San Francisco for our hybrid working model.

Candidate Profile

We are excited to welcome an influential individual to our team who is already a well-established voice in AI. From your experience over the past few years, we’ll see you in videos and at events sharing technical insights, leading discussions, and inspiring others to effectively use AI and ML capabilities. You’ve also created articles, tutorials, and hands-on workshops to teach builders best practices and equip them to leverage AI in their apps. 

At the foundation of your passion and expertise is a love to equip others. Our ideal candidate will have at least 3 years of experience in a builder role, such as a data scientist or developer, where they crafted AI solutions in production. They will have 8+ total years of experience through any combination of builder role (such as data scientist or developer), educator role (such as developer advocate or developer educator), or customer-facing role (such as solution architect). 

Our ideal candidate will also have connections with AI companies and communities in the San Francisco Bay Area. You will work with key AI partners to create content and partner on virtual and in-person events that showcase how MongoDB is part of the larger AI ecosystem. 

You are an effective teacher who can explain complex topics in a simple and easy-to-understand way. Along with an appreciation for the key AI-related features of our platform, such as vector search and Voyage AI, you will also develop a strong understanding of MongoDB's core capabilities, data modeling, and emerging trends in our industry.

Though the expertise you bring will be unique, our team is built to work together to share knowledge and help each other grow. You will work with others at all levels, supporting peer reviews of code, demos, sessions, and other content. You should have a genuine passion for equipping other developers to be more productive and successful. 

Position Expectations

Below are examples of the types of work you will be doing. Your mix of activities will vary week to week based on priorities and event schedules. 

• Build on a solid foundation of ML/AI expertise, adding to your database experience to become a MongoDB expert
• Expand your knowledge of embedding models and rerankers to become an expert in Voyage AI
• Collaborate with our events and field teams to engage developers and founders in the Bay Area at meetups, events, hackathons, and startup houses
• Speak at strategic AI events and lead workshops at high-profile conferences such as AWS re:Invent 
• Create and update tutorials, articles, videos, and workshops along with their associated workflows or workflows or code examples
• Provide feedback to our Product and Technology team, serving as the voice of the developer as new products are scoped and planned
• Regularly interface with Partner Managers to identify opportunities to work with key AI partners to create content and partner on virtual and in-person events that showcase how MongoDB is part of the larger AI ecosystem 
• Partner with our community team to support engagement with third-party and first-party user groups (MUGs), Champions, and influencer programs across the region
• Lead one-hour sessions (both virtual and in-person) with customer teams to evaluate their AI use cases and provide recommendations on how they can better utilize MongoDB

Requirements

• Expertise in building AI or ML solutions and comfortable building agentic solutions
• Advanced familiarity with several AI coding and workflow tools, and how platforms are recommended through content, preference, and integration
• Expertise with one or more complementary programming languages (Python or JavaScript preferred)
• Knowledgeable and connected in the Bay Area AI ecosystem
• Prolific author of content (tutorials, how-to guides, readmes) and associated code to help developers learn
• Established portfolio or active contributor to AI examples and Agent Skills in GitHub
• Engaging presenter at in-person events, videos, webinars, or live streams 
• Up to 25% of time traveling to Bay Area engagements (like meetups, events, hackathons, and startup houses)
• Up to 10% of time traveling outside of the Bay Area for industry events 

About MongoDB

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

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

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

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

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

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

Req ID: 1273376493

The Application Modernization Platform (AMP) team is tackling one of the industry's most critical challenges: leveraging Generative AI to transform rigid, legacy applications into modern, microservices-based architectures powered by MongoDB. A core difficulty in legacy code transformation is guaranteeing the equivalence of the new application's business logic, ensuring it operates smoothly and efficiently with the new MongoDB data ecosystems in a reliable and scalable manner. The success of this mission heavily relies on the essential tools developed by the CodeGen team.

We are looking for an experienced Senior Lead Software Engineer with a strong background in database ecosystem, reshaping complex large-scale services and team leadership. You will lead a talented team building a complex product suite using GenAI capabilities. The ideal candidate is a hands-on technical leader who can drive architectural decisions, mentor engineers, and collaborate closely with product management to deliver a product that solves our customers' most challenging application transformation problems.

This role will be based in North America west coast, and offers a hybrid working model. 

The ideal candidate for this role will have

• 10+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure
• 2+ years of experience leading, coaching, and mentoring a team of software engineers to achieve high-impact results
• Extensive product experience in building enterprise-grade analytics systems for data streaming or data tooling
• Extensive experience with relational and document data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc) and at least one document database (e.g. MongoDB)
• Having experience in using GenAI in building complex large-scale systems, and knowing what GenAI is best suited to do, is a plus
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills
• Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity

Position Expectations

• Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement
• Drive the architectural vision and long-term technical roadmap for the Code Gen product suite, ensuring it is scalable, reliable, and performant
• Collaborate closely with Product Managers and other stakeholders to define product features and translate business requirements into robust technical designs
• Lead the design and implementation of complex, mission-critical components of AMP’s code transformation toolset
• Champion and enforce engineering best practices through design reviews, code reviews, and by setting a high standard for quality and operational excellence
• Act as a hands-on leader, guiding the team through complex technical challenges and contributing to the codebase where necessary

Success Measures

Within the first three months, you will have:

• Fully ramped up on our architecture, business domain, and team processes
• Establish yourself as the technical leader within the team, actively driving technical discussions, design reviews, and planning for the product roadmap
• Begin mentoring team members and building strong collaborative relationships with your product counterparts

Within six months, you will have:

• Successfully led the team to deliver a major feature or product release
• Made significant contributions to the architectural roadmap and started influencing the technical direction of adjacent teams
• Established a clear rhythm of execution and a high-performing culture within your team

Within 12 months, you will have:

• Become recognized as the go-to technical expert for the code transformation domain at MongoDB
• Delivered large-scale features across the entire tech stack that have a measurable impact on our customers and business
• Played a crucial role in recruiting, hiring, and growing the engineering team

About MongoDB

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

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

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

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

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

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

REQ ID: 1273362479

MongoDB is hiring a Senior Manager, HR Compliance to join our Americas Employee Experience team. This role reports to the Senior Director of Americas Employee Experience and is responsible for evolving, refining, and operationalizing a comprehensive compliance framework and strategy across the region.

The role includes direct management of one team member responsible for immigration and global mobility within the Americas region, ensuring these programs are effectively aligned with compliance requirements and broader people strategies.

As a key member of the Americas Employee Experience leadership team, this individual will help drive a culture of compliance and operational excellence, while also supporting team-wide planning, key initiatives, and quarterly business reviews (QBRs).

This role partners closely with regional Employee Experience leaders (Americas, EMEA, APAC) and maintains strong alignment with the Global Risk & Compliance function to ensure consistency in processes, policies, controls, and audit readiness.

Key Responsibilities

• Lead the continued development, refinement, and execution of a scalable HR compliance framework across the Americas (policy, training, audits, and programs), including a roadmap for future capabilities
• Build and embed a culture of compliance and best practices across the People Team and broader organization
• Develop and implement programs to ensure adherence to applicable laws, regulations, and internal policies; ensure in-region compliance of HR policies, processes, and programs
• Own and oversee immigration and global mobility programs for the Americas through direct management of a dedicated team member, ensuring regulatory compliance, effective vendor partnership, and alignment with business and talent needs
• Partner with Employee Relations and HR leadership to support compliant handling of employee matters, providing guidance, frameworks, and risk-based input (without direct ownership of ER processes)
• Partner closely with the Global Risk & Compliance function to align on controls, processes, policies, and audit activities; support internal and external audits as required
• Lead regular compliance audits and risk assessments, including policy creation, documentation, manager training, and systems/process approvals to identify risks and drive corrective actions
• Collaborate with HR leadership to create, implement, and maintain HR policies and procedures, ensuring consistency and effective escalation frameworks
• Partner closely with Legal to stay current on regulatory changes and translate requirements into actionable guidance
• Collaborate cross-functionally to integrate compliance considerations into business processes and decision-making
• Design and deliver compliance training programs to educate HR staff, managers, and employees on obligations and best practices
• Establish and maintain effective channels for reporting compliance concerns and support investigations as needed
• Prepare and present regular compliance reports to senior management highlighting key metrics, trends, and risks
• Build relationships with regulatory agencies, industry associations, and external stakeholders as needed
• In partnership with other regional HR Compliance Leads, drive key operational rhythms, including project management of or collaborations on global initiatives and coordination of quarterly business reviews (QBRs)

Qualifications

Basic Qualifications

• Bachelor’s degree or equivalent experience
• 10+ years of experience in HR compliance, employment law, or related field
• 5+ years of experience applying U.S. employment law across multiple states
• 3+ years of experience building and implementing HR compliance programs (policies, audits, training)
• 2+ years of people management experience
• Experience partnering with Legal, Employee Relations, and/or Risk/Compliance functions
• Experience supporting audits, including controls, documentation, and remediation
• Experience delivering compliance training to HR and/or managers
• Experience operating in ambiguous, fast-paced, or high-growth environments
• Experience working in multi-state or complex organizational environments

Preferred Qualifications

• Master’s degree or JD
• Experience supporting multi-country HR compliance programs (Americas or global)
• Experience overseeing or partnering on immigration and global mobility programs
• Experience working in a public company or SOX-regulated environment
• Experience in the technology industry or other high-growth environments
• Professional certification such as PHR, SPHR, SHRM-CP, SHRM-SCP, or equivalent

About the Team

The Employee Experience Team at MongoDB is the face of HR to our global employee population. The team is responsible for delivering full employee lifecycle support—from onboarding through separation—in partnership with the broader People Team, including Recruiting, Total Rewards, Learning & Development, Employee Engagement & Inclusion, HR Business Partnering, and HR Operations.

The team also leads employee relations, workplace initiatives, policy and process enhancements, regional compliance, and programs designed to strengthen manager capability and overall employee experience.

About MongoDB

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

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

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

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

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

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

Req ID: 1273417818

Important Information

Experience: +6 years

Job Mode: Full-time

Work Mode: Remote

ID: OPP00051-1

Responsibilities and Duties

• Digest requirement from product team and lead the elaboration of high level design for high availability, performance and scalability features for cloud systems; 
• Raise and discuss trade-offs of different design approaches elaborating detailed design documents; 
• Implement solution from coding to testing to production deployment support; 
• Follow agile processes and participate actively in all development phases.

Essential Skills 

• Experience with Golang (Go) programming language;  
• Extensive experience with modeling, producing and consuming web services based APIs (RESTful or SOAP based); 
• Experience on Cloud Service Orchestration; 
• Experience with Cloud Development; 
• Experience with backend systems development; 
• Proven proficiency with object-oriented software development; 
• Proven experience on complex architectural design for cloud-based applications; 
• Design Patterns; 
• Experience with SQL and NoSQL databases such as PostgreSQL, SQL Server, Oracle, MongoDB, Cassandra. 

Highly Desirable Skills 

• Competent in one or more programming language(s): Go (Golang), Python, Node, C#, C and C++, Java; 
• Knowledge on testing (Unit Test, Feature Test, Integration); 
• Knowledge of cloud platforms and technologies including Google Cloud, Aws, Azure; 
• Experience working with Kubernetes and OpenShift; 
• Exposure to and/or experience with Serverless applications; 
• An understanding of software design patterns, pipeline automation and software testing principles and methodologies; 
• Familiar with designing, coding, deploying and debugging microservices applications; 
• Strong Scripting and automation skills; 
• Passionate about solving problems in code; 
• Is proactive and easily trouble shoots and resolves issues relating to customer service, product, process and tools; 
• Comfortable with Linux Environment and shell scripting.

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

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.

The Position: 

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

Responsibilities:

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

Minimum requirements:

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

 Nice to have

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

THE ROLE

Pure1 is the unifying manageability and intelligence layer on top of all Everpure products and services - FlashArray, FlashBlade, CBS, Portworx and more. It is the nexus of our promise of a simple customer experience, providing insights and tools to help make our customers’ lives better.

WHAT YOU'LL DO

• System Design & Architecture; Design and build secure, reliable, scalable, performant, and fault-tolerant systems
• Develop and promote adoption of best practices in software development, system design, operations, and DevOps with a focus on operational excellence and monitoring.
• End-to-End Ownership and Technical Leadership
• Provide technical vision, strategy, and leadership for your team, driving full lifecycle ownership of services from inception to production
• Anticipate bottlenecks and architect innovative solutions
• Drive best practices and operational excellence both at the team and organizational level
• Act as a product owner, driving customer-centric features
• Coach and mentor junior and mid-level developers to help them grow technically and understand best practices
• Project & People Management
• Lead medium to large software projects, coordinating requirements, estimates, priorities and schedules
• Guide an effective, motivated, high-performing software team focused on delivery and operational excellence
• Excellent communication skills
• Recruit, hire and develop top-tier software engineering talent

WHAT YOU BRING

• 8+ years experience developing enterprise/cloud software using Java or related programming languages, with 3+ years in a tech lead or similar role
• Have led multiple projects from conception to release, while coordinating the work of multiple engineers and acting as first point of contact for cross functional teams
• Proven design sensibility and the willingness to work in a collaborative, team oriented environment
• Ability to work on multiple concurrent projects, with fast context switching between them
• Hands-on experience with AWS, Mongo DB, Kubernetes, containerization, Spring Boot or similar technologies
• A BS degree in Computer Science; advanced degrees are a bonus!

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

#LI-ONSITE

The 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

Important Information 

Location: Brazil
Job Mode: Full-time 
Work Mode: Work from home

Responsibilities and Duties

• Digest requirement from product team and lead the elaboration of high level design for high availability, performance and scalability features for cloud systems; 
• Raise and discuss trade-offs of different design approaches elaborating detailed design documents; 
• Implement solution from coding to testing to production deployment support; 
• Follow agile processes and participate actively in all development phases.

Essential Skills 

• Experience with Golang (Go) programming language;  
• Extensive experience with modeling, producing and consuming web services based APIs (RESTful or SOAP based); 
• Experience on Cloud Service Orchestration; 
• Experience with Cloud Development; 
• Experience with backend systems development; 
• Proven proficiency with object-oriented software development; 
• Proven experience on complex architectural design for cloud-based applications; 
• Design Patterns; 
• Experience with SQL and NoSQL databases such as PostgreSQL, SQL Server, Oracle, MongoDB, Cassandra. 
  

Highly Desirable Skills 

• Competent in one or more programming language(s): Go (Golang), Python, Node, C#, C and C++, Java; 
• Knowledge on testing (Unit Test, Feature Test, Integration); 
• Knowledge of cloud platforms and technologies including Google Cloud, Aws, Azure; 
• Experience working with Kubernetes and OpenShift; 
• Exposure to and/or experience with Serverless applications; 
• An understanding of software design patterns, pipeline automation and software testing principles and methodologies; 
• Familiar with designing, coding, deploying and debugging microservices applications; 
• Strong Scripting and automation skills; 
• Passionate about solving problems in code; 
• Is proactive and easily trouble shoots and resolves issues relating to customer service, product, process and tools; 
• Comfortable with Linux Environment and shell scripting.

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

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 Software Engineer, Data Engineering on the Maritime Digital Production team, you will build the high-throughput data systems that connect design, manufacturing, and operations into a unified digital thread. You’ll design and implement scalable data architectures that move and transform massive datasets efficiently, supporting everything from geometry access to live production analytics.

In this role, you’ll develop high-performance data access layers and scalable databases, integrate information from systems such as PLM, ERP, and MES, and ensure seamless, reliable data flow across the enterprise. You’ll continuously monitor and optimize performance to meet the demands of real-time, high-speed data operations, and maintain strong documentation to keep the system transparent and auditable.

You’ll work closely with software engineers, data scientists, and manufacturing technologists across Anduril in a high-tech, fast-paced culture of innovation. If you’re driven to build data systems that are fast, resilient, and deeply connected to real-world production, you’ll be helping build the future of digital shipbuilding and the next generation of maritime vehicles.

WHAT YOU'LL DO

• Design and Implement Data Access Layers: Develop high-performance data access layers to handle massive datasets, ensuring quick and efficient data retrieval and processing.
• Database Design and Management: Design, implement, and maintain scalable databases suitable for high-speed, high-throughput data operations.
• Data Integration: Integrate data from various business systems including PLM, ERP, and MES, ensuring seamless and efficient data flow.
• Performance Optimization: Monitor and optimize the performance of data access layers and databases to meet the demands of large-scale, real-time data processing.
• Collaborate with Cross-Functional Teams: Work closely with software engineers, data scientists, and other stakeholders to ensure the data architecture supports various applications and analytical needs.
• Maintain Documentation: Write and maintain comprehensive documentation for data access layers, databases, and data integration processes.

REQUIRED QUALIFICATIONS

• Proficiency in database management systems (e.g., SQL, NoSQL databases like MongoDB, Cassandra).
• Experience with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery).
• Strong understanding of data architecture principles and best practices.
• Proficiency in programming languages used for data engineering (e.g., Python, Java, Scala).
• Experience with big data technologies (e.g., Hadoop, Spark).
• Familiarity with cloud platforms and services (e.g., AWS, Azure, GCP).
• Strong problem-solving skills and ability to handle large volumes of data.
• Excellent collaboration and communication abilities.
• Eligible to obtain and maintain an active U.S. Secret security clearance.

PREFERRED QUALIFICATIONS

• Previous experience in a manufacturing or industrial setting.
• Experience with real-time data processing and stream processing technologies (e.g., Kafka, Flink).
• Knowledge of data governance and data quality management practices.
• Familiarity with containerization (Docker) and orchestration (Kubernetes).

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).

Location

Palo Alto, CA

Job Description

Rhombus’ Data Engineers are instrumental in designing and implementing data engineering activities on topical, mission-driven projects that inform our national security agenda. They analyze, build, and maintain our organization’s data infrastructure and processing systems. 

Additionally, our Data Engineers perform various code development and query needs for integration with new and existing applications, dashboards and machine learning pipelines. Our Data Engineers work cross functionally with other departments to meet business needs. They utilize their skills at all stages of the analytics pipeline to create results that drive business values and customer success.

Responsibilities:

• Develop code using various programming and scripting languages to automate data ingestion and improve data management processes.
• Architect data repositories, stand up data platforms and develop data pipelines for ingestion, transformation, and aggregation.
• Review existing architecture, data strategy, and improve processes for data governance, data quality, and metadata management.
• Extract and analyze raw data from multiple data sources via APIs, SQL Stored Procedures, or Python scripts.
• Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor and operate data platforms.
• Collaborate with a multi-disciplinary team of analysts, data scientists, data engineers, developers, and data consumers in a fast-paced, agile environment.
• You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for clients.
• Communicate project status and results to various levels of leadership.

Qualifications:

• At minimum Bachelor’s degree in Data Analytics, Computer Science, Computer Engineering, Information Systems/Sciences, or other relevant area (or equivalent experience) and at least 3 years of professional experience, or a Master’s degree with strong academic project experience and one year of work experience.  
• Experience with 1 or more programming and scripting languages, with a strong focus on Python, Pandas and Numpy. Other languages include: Shell, PERL, Java, C/C++/C#, Scala, etc.
• Experience with 1 or more of the following relational, noSQL and/or file based storage (e.g. MYSQL, MongoDB, SQL Server, Oracle, Postgres, Hbase, DynamoDB, etc.)
• Experience building and maintaining ETL data pipelines
• Experience with software development life cycle including testing, documenting, delivery and support
• Working knowledge of AWS/cloud technologies
• Experience using query optimization as well as data modeling techniques.
• Familiarity with machine learning frameworks (such as TensorFlow, Scikit-Learn, etc.)

Personal Qualities:

• Bias for action: Rhombus seeks ‘doers’ who will get things done with accuracy, speed and at scale.
• Ability to contextualize data as it relates to Rhombus’ vision. We want someone who can understand the “why” and “so what”, and not just the “how”. Our Data Engineers help us transmit the enthusiasm we have around the data work to the individuals doing that work.
• Must have strong problem-solving skills and demonstrated excellent oral and written communication skills.
• We’re seeking folks with strong intellectual curiosity and creativity, with an ability and willingness to learn new skills and apply novel solutions to problems.
• Comfort in a fast-paced start-up environment is crucial, with the ability to consistently revise your approach in response to new information, and to be flexible and adaptive.

Salary Range

• The estimated base salary range for this position is $110,000 to $180,000/year

Benefits 

• Full medical, dental, vision coverage for employee and dependents 
• 401k matching program 
• PTO and Holidays 
• Bonus and other incentive programs
• Access to mental health program
• Access to Flexible Spending Accounts for Health Care, Dependent and Commuter

About Rhombus 

Rhombus Power Inc. (Rhombus) is a startup located in the heart of Silicon Valley at Stanford Research Park in Palo Alto.  We use cutting-edge cross-disciplinary approaches to solve pressing Big Data and Sensing problems in security, energy, and healthcare. Our advisory board includes two Nobel Laureates and a Draper Prize winner. 

Rhombus compensates, motivates, and develops employees, who are trusted, empowered, and involved. Employees have clear roles and expectations – and their roles are flexible enough to move at the speed of innovation in order to meet and exceed client expectations. We have a unique culture of global purpose, rooted in the innovation and progress of Silicon Valley. 

Rhombus knows that diversity is a condition for success. We are committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer. 

Who We Are:

Inversion builds advanced reentry systems to deliver next-generation capabilities from space.
 
Our mission is to make Earth radically more accessible by turning Low-Earth Orbit into an on-demand logistics domain. We see space not as a destination, but as a platform — one that unlocks unprecedented speed and global reach.
 
Our spacecraft are designed to deliver payloads anywhere on Earth in under an hour, operating through extreme reentry conditions and landing with high precision. These systems open the door to new ways of testing, delivering, and operating at hypersonic speeds.
 
Inherently dual-use, our technology is built to meet urgent national security needs while laying the groundwork for future commercial applications. Backed by leading investors including Y Combinator, Spark Capital, and Lockheed Martin Ventures, and working with partners such as the U.S. Space Force and NASA, Inversion is pushing the boundaries of what’s possible in space-based defense and logistics.

About the Role

As a Senior Back-end Engineer at Inversion, you will work as part of the simulation team to design, develop, and maintain the architecture and server-side logic of the applications that support the simulation and test environments for our flight systems. The simulation team is responsible for ensuring that flight software and flight hardware can be continuously integrated and tested under realistic flight conditions. You will play a key role in the design and development of data management and self-service tools that will enable fast, repeatable development and deployment workflows across the engineering stack. Your work will empower Inversion’s engineering teams to iterate rapidly throughout the development life cycle and will strengthen Inversion’s ability to put our products into the hands of our customers with unprecedented speed and agility.

What You'll Do

• Design, deploy, and maintain the server-side logic and infrastructure of the applications that support simulation workflows, including high-performance computing (HPC), software-in-the-loop (SIL) testing, and hardware-in-the-loop (HIL) testing
• Select a back-end tech stack that ensures the performance and scalability of our applications
• Design and implement a back-end architecture that strikes the right balance between simplicity and flexibility
• Design and develop databases architectures and data pipelines to meet configuration and data management needs
• Leverage self-documenting API tools and technologies to develop robust and efficient APIs
• Leverage modern web frameworks to develop server-side logic
• Work with front-end engineers to integrate the front-end with the back-end and deliver a smooth user experience (UX)
• Contribute to the design and development of a simulation system capable of automatically provisioning and deploying resources to support simulation workflows

Required Qualifications

Candidates must meet all of the following qualifications to be considered for this position:

• 6+ years of professional experience in back-end or full-stack development
• Expertise in back-end engineering and best practices
• Proficiency in one or more scripting languages (Python, Lua, Bash, PowerShell, etc.)
• Experience with Linux-based systems
• Experience with modern DevOps practices
• Experience with one or more back-end architectures (monolithic, modular, serverless, event-based, microservices, etc.)
• Experience with one or more API architectures (REST, GraphQL, gRPC, WebSockets, Webhooks, etc.)
• Experience with one or more database systems (MySQL, Oracle, MongoDB, DynamoDB,  InfluxDB, etc.)
• Experience with cloud computing platforms (AWS, Azure, GCP, OpenStack, CloudStack, etc.)

The ideal candidate will also meet one of the following qualifications:

• Expertise in database administration for both SQL and NoSQL databases
• Expertise in SaaS/PaaS development
• Expertise in network administration

Desired Qualifications

• Extensive experience with Python and Python-based web frameworks (Django, Flask, Quart, FastAPI, etc.)
• Extensive experience with C/C++ or Rust
• Experience with async and multithreaded architectures
• Experience with time-series databases (InfluxDB, QuestDB, TimescaleDB, Prometheus, etc.)
• Experience with message-oriented middleware (NATS, Apache Kafka, RabbitMQ, etc.)
• Familiarity with one or more front-end JS frameworks (React, Angular, etc.)
• Familiarity with one or more open-source cloud computing platforms (OpenStack, CloudStack, etc.)
• Familiarity with containerization (Docker, Docker Compose, etc.) and orchestration (Kubernetes, Docker Swarm, etc.)
• Familiarity with system observability tools (Prometheus, Grafana, ELK, etc.)

Our office headquarters is located in Playa Vista, CA. This position requires in office presence.

_{The California annual base salary for this role is currently $139,000 - $201,000.  Pay Grades are determined by role, level, location, and alignment with market data.  Individual pay will be determined on a case-by-case basis and may vary based on the following considerations: interviews and an assessment of several factors that are unique to each candidate, job-related skills, relevant education and experience, certifications, abilities of the candidate and internal equity.} 

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:

• On the Factory Platform team, you will play a key role in the software development life cycle from initial concept, trade studies, design, implementation, and ongoing iteration.   
• Develop applications used to plan and schedule purchasing and manufacturing operations, access and analyze engine and component test data, and several other tools used by engineers and operators across the company. 
• Follow agile development practices and implement quality software that is continuously integrated and deployed.   
• Solve complex problems with simple solutions. Work directly with users and stakeholder teams to figure out system requirements, implement the solutions, and iterate. 

Technologies we use: 

• Python, React, Typescript, Go. 
• Spark, Iceberg, Duckdb, Redshift, DBT, Postgres, Mongo. 
• AWS, Kubernetes (both cloud and on-prem), Terraform, Helm. 

About You:

• Bachelor's degree or higher in Computer Science or a related Engineering field (Computer, Software, Electrical, Aerospace).  
• 7+ years of experience building, shipping, and iterating on multiple apps and services in your career so far. 
• Experience designing in collaboration with non-software stakeholders.
• Proficient in whatever languages and tools you love most, and willing to learn new ones. 
• Expert in front-end frameworks (React) and related tools. 
• Passionate about mentoring and growing the engineers around you. 

Nice to haves but not required:  

• Experience designing and scaling service architectures that support high-performance front-end operations. 
• Experience with systems-level programming like synchronization primitives, memory management, etc. 
• Demonstrated experience developing low-latency, safety-critical front-ends. 
• Experience developing, debugging, and shipping software products on large code bases that span platforms and tools. 

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.

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 >>

The Challenge

We are seeking a Principal Domain Architect who will define and drive the technical vision for AI-native and agentic systems across the platform. This role combines deep system architecture expertise, AI innovation, and strategic technology leadership to build scalable, reliable, and enterprise-grade solutions. The Principal Architect will work closely with Product, AI Platform teams, Architecture Guild, and engineering leadership to guide the design of complex distributed systems, influence the product roadmap, and drive the adoption of modern AI-native architectures across the organization. This leader is expected to identify emerging engineering advancements and translate them into strategic business opportunities, while improving engineering efficiency and technical excellence across products.

Your Mission

• Define and deliver architecture for AI-native agentic systems, enabling scalable and enterprise-grade multi-agent solutions.
• Create and evaluate failure mode scenarios for agentic workflows and incorporate architectural safeguards to ensure resilience and reliability.
• Provide deep expertise in LLM architectures, prompt engineering, RAG approaches, model selection, model training, LoRA knowledge, cost optimization, performance, security, and quality considerations.
• Drive technology transformation within the domain, enabling teams to adopt modern AI-native architectures and engineering practices.
• Stay current with rapid advancements in the agentic AI ecosystem, continuously evaluating emerging frameworks, tools, and architectural patterns.
• Champion technical exploration and spikes to test new ideas, validate feasibility, and guide long-term architectural decisions.
• Collaborate closely with the AI Platform team to influence platform capabilities and ensure alignment with enterprise architecture.
• Define metrics, evaluation frameworks, and observability standards for agentic systems.
• Provide architectural guidance and oversight to engineering squads, reviewing designs and co-creating solutions for complex initiatives.
• Act as a technology leader for the domain, influencing the Architecture Guild and driving best practices across engineering teams.
• Ensure teams adopt architecture governance standards and best practices.
• Champion technical controls and disciplined engineering practices to proactively manage architectural complexity and technical debt.
• Design and build high-performance distributed systems capable of supporting enterprise workloads.
• Recognize industry trends and proactively influence the product and engineering roadmap.
• Mentor engineers and architects, strengthening the organization’s technical leadership and architectural maturity.

Architecture Leadership

• Design large-scale distributed systems and AI-powered architectures that support multiple products and integrations.
• Create and maintain architecture models, system diagrams, and technical design documentation covering current and future state architecture.
• Conceive and evolve product and service architectures ensuring scalability, reliability, and operational efficiency.
• Ensure systems are designed for high availability, performance, and ease of operations.

Strategic Technology Leadership

• Contribute to company-level engineering strategy and evaluate the business impact of emerging technologies.
• Lead engineering initiatives to improve platform capabilities and engineering productivity.
• Participate in strategic programs that impact company-wide technical direction.
• Influence cross-organizational architecture decisions and collaborate with Director and VP level stakeholders.

Engineering Excellence

• Recommend technologies and frameworks that increase engineering productivity and system reliability.
• Oversee technical aspects of major initiatives and ensure high engineering standards.
• Mentor engineers and technical leaders to strengthen system design capabilities and engineering best practices.

You Are

• A highly skilled technical leader with strong architectural vision.
• An analytical thinker with strong problem-solving and system design skills.
• A strong communicator capable of influencing leadership and cross-functional teams.
• Passionate about mentoring engineers and improving technical excellence across the organization.

Your Experience Includes

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 16+ years of software engineering experience with deep expertise in distributed systems.
• Extensive experience with Java-based development using REST APIs, Spring Boot, and microservices architectures.
• Strong experience designing distributed, asynchronous, and event-driven architectures.
• Expertise building low-latency, high-throughput data pipelines and large-scale data platforms.
• Experience with data streaming and event processing technologies such as Kafka, Kinesis, Spark, or Flink.
• Strong knowledge of data structures, algorithms, distributed algorithms, and system programming.
• Experience with fault-tolerant messaging systems such as Kafka, RabbitMQ, AMQ, or ZeroMQ.
• Experience working with distributed data stores including MongoDB, Cassandra, CockroachDB, or CouchDB.
• Experience integrating applications with search platforms such as Elasticsearch or Solr.
• Proven experience mentoring engineers and building strong engineering practices.
• Strong ability to create and maintain architecture documentation and system design artifacts.
• Excellent leadership, verbal, and written communication skills.

Extra Impressive  

• Master’s degree in Computer Science, Engineering, or related field.
• Experience running large-scale web services and distributed platforms.
• Deep understanding of system performance tradeoffs, load balancing, and high-availability architectures.
• Experience with cloud-native and serverless architectures.
• Experience designing graph-based data models and graph architectures.
• Experience building AI-native platforms or LLM-powered systems.

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

We’re seeking an enthusiastic Senior Software Engineer to join our fast-growing data company. As a part of the databases team, you will help drive performance improvements, improve reliability/architecture and build new features for our data pipeline services.

This is a full-time, hybrid position based out of our Oakland office or our Toronto office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

Technologies You’ll Use

• Java

• NoSQL databases: MongoDB, Amazon DynamoDB, Azure Cosmos DB

• Relational databases: IBM Db2, CockroachDB

• AWS, GCP, Azure

• Bazel, Docker, Kubernetes, Github

What You’ll Do

• Write and deliver code reliably, along with automated tests (unit and integration)

• Break down project work into tasks with effort estimates

• Give and receive feedback through code reviews

• Independently create technical designs for new features and actively seek feedback

• Write common components to be used within the team or department

• Mentor other engineers on improving all aspects of their code, according to established coding practices

• Collaborate daily with team members to develop new features and improvements while minimizing technical debt

• Resolve customer issues in collaboration with customer support

• Work across the software development lifecycle: requirements, design, prototype, implementation, review, release, and monitoring

Skills We’re Looking For

• Expertise in Java development

• Experience developing reliable software with high-volume data management under strict SLAs

• Experience working with popular cloud platforms (e.g. AWS, GCP, Azure)

• Knowledge of popular NoSQL databases (e.g. MongoDB, Amazon DynamoDB)

• Knowledge of and appreciation for clean code practices

• Ability to troubleshoot problematic code and identify root cause(s)

Optional Bonus Skills​

• Experience working with change data capture for MongoDB, Amazon DynamoDB and/or IBM Db2

• Experience developing data integration tools (ETL or ELT)

• Experience identifying and optimizing performance bottlenecks in distributed systems

#LI-AM1 #LI-HYBRID

About the team/role

We're seeking an experienced Staff Data Engineer to join our Data Platform team. This team plays a crucial role in our mission by developing and maintaining scalable data platforms for fair and safe hiring decisions.

As a Staff Data Engineer on the Data Platform team, you'll work on Checkr’s centralized data platform, critical for the company's vision. The centralized data platform is the heart of all key customer facing products. You will work on high-impact projects that directly contribute to the next generation products. 

What you’ll do:

• Architect, design, lead and build end-to-end performant, reliable, scalable data platform.
• Be an independent individual contributor who can solve problems and deliver high-quality solutions without oversight and a high level of ownership.
• Mentor, guide and work with junior engineers to deliver complex and next-generation of features. 
• Bring a customer-centric, product-oriented mindset to the table - collaborate with customers and internal stakeholders to resolve product ambiguities and ship impactful features
• Partner with engineering, product, design, and other stakeholders in designing and architecting new features
• Experimentation mindset - autonomy and empowerment to validate a customer need, get team buy-in, and ship a rapid MVP
• Quality mindset - you insist on quality as a critical pillar of your software deliverables
• Analytical mindset - instrument and deploy new product experiments with a data-driven approach
• Architect, lead and build a performant, reliable, scalable data platform.
• Monitor, investigate, triage, and resolve production issues as they arise for services owned by the team
• Create and maintain data pipelines and foundational datasets to support product/business needs.
• Design and build database architectures with massive and complex data, balancing with computational load and cost
• Develop audits for data quality at scale, implementing alerting as necessary
• Create scalable dashboards and reports to support business objectives and enable data-driven decision-making
• Troubleshoot and resolve complex issues in production environments

What you bring:

• 10+ years of designing, implementing and delivering highly scalable and performant data platform.
• Experience building large-scale (100s of Terabytes and Petabytes) data processing pipelines - batch and stream
• Experience with ETL/ELT, stream and batch processing of data at scale
• Expert level proficiency in PySpark, Python, and SQL
• Expertise in data modeling, relational databases, NoSQL (such as MongoDB) data stores
• Experience with big data technologies such as Kafka, Spark, Iceberg, Datalake, and AWS stack (EKS, EMR, Serverless, Glue, Athena, S3, etc.)
• An understanding of Graph and Vector data stores (preferred)
• Knowledge of security best practices and data privacy concerns
• Strong problem-solving skills and attention to detail
• Experience/knowledge of data processing platforms such as Databricks or Snowflake.

What you get:

• A fast-paced and collaborative environment
• Learning and development allowance
• Competitive cash and equity compensation and opportunity for advancement
• 100% medical, dental, and vision coverage
• Up to $25K reimbursement for fertility, adoption, and parental planning services
• Flexible PTO policy
• Monthly wellness stipend

#LI-TD1

The Company:

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

Your Role:

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

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

Basic Qualifications:

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

Preferred Qualifications:

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

Salary Range:

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

 Perks + Benefits

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

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

Company Overview

Maven Robotics is building the world’s leading general-purpose AI robots.

We are currently operating in stealth and are growing the world’s best team in AI robotics. We are looking for self-starters that are the world’s best in their field, who can innovate from a deep understanding of the fundamentals, and who share our values of unwavering truth seeking and integrity, humility, curiosity, and relentless determination.

Role Description

We are looking to recruit an exceptional Software Engineer - Software Development and Machine Learning Operations to build and maintain the infrastructure that supports our software development, machine learning models, and AI operations.

In this role you will:

• Design, implement, and manage CI/CD pipelines to facilitate seamless code integration and deployment.
• Monitor and optimize system performance, availability, and security.
• Automate infrastructure orchestration and configuration management using tools such as Kubernetes, Ansible, and similar.
• Configure and maintain data infrastructure appliances.
• Troubleshoot and resolve issues related to applications, infrastructure, and deployments.
• Work closely with our development and AI teams to deliver solutions that increase efficiency and stability.

Qualifications

Must-have:

• BS or MS in software engineering, computer science, or a related field.
• Proven experience standing up a CI/CD system from scratch.
• Experience with multi-language build systems (e.g., Bazel, Bob).
• Proficiency with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
• Experience with automation tools (e.g., Terraform, Ansible, GitHub Actions, Jenkins) and version control systems (e.g., Git).
• Strong programming skills in languages such as Python, Go, or Java.
• Self-starter attitude with strong ability to identify problems, prioritize them, then plan and execute working solutions.
• Enthusiasm for working in a fast paced startup environment and eagerness to support the team on a variety of topics.

Nice-to-have:

• Experience with MLOps platforms (e.g., MLflow, Kubeflow, or SageMaker).
• Knowledge of big data technologies (e.g., Hadoop, Spark, or Kafka).
• Experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack).
• Understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, or Scikit-Learn).
• Experience with edge computing and IoT device management.
• Knowledge of security best practices and compliance standards in AI/ML environments.
• Proficiency in database management systems (e.g., PostgreSQL, MongoDB, or Cassandra).
• Experience with infrastructure-as-code tools (e.g., CloudFormation, Pulumi).
• Knowledge of GitOps practices and tools (e.g., ArgoCD, Flux).

The Role 

We are seeking a highly skilled Senior Software Engineer with expertise in designing and implementing scalable, data-driven systems. The ideal candidate is passionate about distributed systems, cloud-native technologies, and efficient data processing. The Senior Engineer will play a vital role in building both foundational engineering capabilities for scaling solutions and developing product solutions.

The Responsibilities 

Overall

• Design, develop, and maintain scalable backend services using Golang and Python.
• Build and optimize APIs using gRPC || GraphQL || REST to support high-performance applications.
• Deploy, manage, and monitor containerized applications using Docker and Kubernetes.
• Design and manage databases (SQL/NoSQL) to handle large-scale data efficiently.
• Implement CI/CD pipelines for automated testing, deployment, and monitoring.
• Work collaboratively with product managers, frontend engineers & researchers to deliver end-to-end solutions.
• Ensure application security, performance, and scalability best practices.
• Troubleshoot and optimize system performance, bottlenecks, and data pipelines.

Everyday

• Iterative updates and product development
• Planning, estimations, diagrams
• Prototyping for new features
• Agile sprint-based team cadence
• Brainstorming solutions with peers

The Requirements 

• 2+ years of experience in full-stack development.
• Strong proficiency in Golang || Python || TypeScript or similar languages.
• Experience with Kubernetes, Docker, and cloud-native application development.
• Hands-on experience with gRPC / GraphQL / REST APIs and microservice architecture.
• Knowledge of relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases.
• Familiarity with scalable data processing techniques.
• “You build it, you run it” - Experience with monitoring, logging, and observability tools.
• Strong problem-solving skills and ability to work in a fast-paced environment.
• Excellent communication and teamwork skills.
• Understanding of DevOps practices.

Desired

• Experience with cloud platforms (GCP [preferred], AWS, or Azure).
• Knowledge of event-driven architectures and message brokers (e.g., Kafka, RabbitMQ).
• Familiarity with streaming technologies.
• Exposure to frontend frameworks (React [preferred], Vue.js, or Angular).
• Understanding of infrastructure-as-code (Terraform, Helm).