ABOUT THE ROLE

Under the guidance of an engineering manager or field service manager, act as a team design application engineer and regular field implementation. As a fully competent engineer the primary goal of the Electrical Design Engineer is to apply sound and diversified knowledge of engineering principles and practices in broad areas of assignments in related fields and to develop broad multi-task, electrical substation experience to effectively manage medium to large sized EPC projects. 

Some of the responsibilities you can expect include the following: 

• Independently make decisions regarding engineering problems and methods.
• Utilizing intuition and innovation independently solve design problems.
• Instill a professional image with all dealings with Equisales clients, as well as interpersonal relationships with team members. Provide encouragement, insight, mentoring and challenge to team members under your supervision.
• Utilizing advanced techniques, precepts and practices of the engineering field and related sciences and disciplines, independently carry out engineering assignments based on the International Electrical Codes (IEC) as well as American National Standards Institute (ANSI).
• Coordinate QA/QC design reviews as well as final sign-off of documents issued for procurement and construction.
• Perform detailed electrical design and system studies for medium to extra high voltage substation facilities and power systems including load flow studies; short circuit studies; protective relay coordination and protection studies and other specialized analysis associated with power system engineering, including but not limited to, AC/DC loading calculations and battery/charger sizing.
• Develop the one-line diagrams, AC/DC control schematics, wiring drawings, and cable schedules.
• Develop control building along with relaying and metering specifications.
• Travel to job site required.

ABOUT YOU

• BSEE or BSCE with minimum 5 years’ experience, or an M .S. degree in engineering with sufficient experience required for advancement as determined by management, or a combination of applicable education and experience as determined by management; professional registration or expectation of achieving professional registration within a specified time period.
• While performing the duties of this position the employee is frequently required to sit for long periods of time; occasionally lift a maximum of 20 pounds; specific vision abilities required by this job include close vision, color vision, ability to adjust focus.
• Occasional travel.
• FLSA STATUS: Exempt.

ABOUT THE WORK ENVIRONMENT

This role is remote with travel to our various Data Center locations. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Who we are:

At Focused, we move quickly to deliver quality software that achieves client outcomes and meets their customer’s needs. We strategically partner with our clients to leverage our expertise in design and software, while our clients bring their own domain expertise. We work with a variety of clients from different industries, collaborating as we get new products to market, modernizing legacy systems, or helping teams learn the skills they need to be successful.   

Our values:

• Listen first • We are experts in product practices but life long learners in the domain of our customers. We research, collaborate, and understand. 
• Learn why • We ask questions and talk to users to understand problem spaces, objectives, and goals, which allows us to deeply invest and drive towards the outcomes of our clients. 
• Love your craft • We love diving into a variety of domains and solving problems.  We take pride in delivering value, in communicating progress, and guiding our clients to success.

At Focused, our Engineers are both practitioners and experts in their craft. This role would play a crucial role in shaping and implementing engineering best practices and ensuring the successful delivery of complex software projects. With clients, we develop trust and influence - we are unintimidated and unintimidating. With colleagues, we set the standard for how we deliver success for clients.

What would you be doing?

• Directly engage with clients and provide expertise through pair programming and development on LangChain / LangGraph powered applications
• Deep expertise in LangChain, LangGraph and LangSmith
• Lead teams through end-to-end delivery across the stack, from backend services to modern web UIs.
• Pair program daily with teammates and clients to share knowledge, improve code quality, and grow together.
• Practice TDD and continuous refactoring to ensure code is reliable, maintainable, and understandable.
• Guide architecture decisions to support scalability, observability, and performance.
• Collaborate closely with designers, product managers, and stakeholders to continuously deliver valuable software.
• Coach developers on the team through pairing, mentoring, and modeling healthy engineering culture.
• Influence technical direction beyond the team, working across client orgs and Focused’s internal practices to share lessons, shape approaches, and raise the collective bar.
• Stay curious through experimenting with new patterns in the GenAI space, share what works (and what doesn’t), and help evolve how we build AI-powered software.

We are excited about you, because you:

• You’re a hands-on, full stack engineer with a strong track record of delivering software in collaborative, agile environments.
• You’ve worked with LangChain (or similar agentic frameworks), and understand how to architect AI-native systems responsibly and effectively.
• You have experience leading engineering teams and feel confident mentoring and supporting other developers.
• You believe that code quality matters, and that TDD and pairing help build better systems and stronger teams.
• You’ve worked across multiple languages or frameworks (e.g., Python, Node, Java, React, Next.js) and are pragmatic about tool selection.
• You’re excited about what’s happening in the AI space but stay focused on delivering value.
• You have experience navigating complex organizations, building bridges across functions, and helping teams adopt modern development practices.
• You’re as comfortable in the code as you are in a client meeting and can translate technical risks and wins into language anyone can understand.
• You love to share what you’re learning and make the team around you better.

If you had worked at Focused over the last 3 months you may have:

• Paired with a teammate to build a document Q&A system using LangChain and OpenAI APIs
• Helped design an architecture that integrates LLM agents into a legacy enterprise workflow
• Refactored a flaky test suite to support continuous delivery with confidence
• Mentored a junior dev through their first pairing and TDD session
• Built and deployed a full stack GenAI MVP with a React frontend and FastAPI backend
• Facilitated an architecture spike to evaluate vector database options for semantic search
• Contributed a new section to our internal AI playbook
• Helped write this job req

What to know before you apply: 

• This role will require working in a client office in the greater Dallas, TX area three days per week and up to 20% travel within the United States.
• Focused is unable to sponsor or take over sponsorship of the employment Visa process at this time.
• The Colorado base salary range for this role is $175,000 - $250,000.

Why LeoLabs?

At LeoLabs, we're building the living map of activity in space. Through our proprietary global radar network and AI-enabled analytics platform, we collect millions of measurements daily on more than 25,000 objects in low Earth orbit (LEO). Our radar-powered intelligence protects billions in assets, monitors adversarial behavior, and ensures safe operations for commercial and government missions.

We're not just building technology, we are redefining global security, safety, and transparency in space. As orbital activity accelerates and threats grow more complex, LeoLabs is a trusted partner for Space Domain Awareness, Space Traffic Management, and Satellite Operations for top-tier space operators and allied defense organizations.

If you're looking to work on mission-critical challenges at the forefront of aerospace, national security, and AI, your impact starts here.

We are currently looking for a Senior Radar FPGA/Embedded Systems Engineer to support our growing team. Our Radar Systems group develops, maintains, and operates advanced software for phased array radars. This role would be responsible for building, maintaining, and deploying the FPGA images we use in our in house SDRs as well as the control software to interact with the radar and drivers.

Why This Role Matters:

Your work directly impacts mission-critical radar systems that support national security, commercial space operations, and global space safety by enabling precise detection, tracking, and analysis of objects in space.

Daily work focuses on software development in the following key areas:

Xilinx Platform Ownership

• Own and maintain the Xilinx Vivado + Yocto project(s) end-to-end
• Modernize and harden the development and production environments
• Update the existing projects to build and run on current Xilinx tool versions
• Establish a reliable process to build, package, and deploy FPGA/boot images to devices (local and remote)

Testing, Verification & Reliability

• Significantly improve the FPGA verification and regression infrastructure
• Add observability and diagnostics for on-target debug (ILA/VIO, counters, assertions/health monitors) and define acceptance tests for new releases

Embedded Software Integration (C / Rust)

• Be comfortable reading and writing C and Rust for embedded targets to support FPGA integration
• Define and maintain clean FPGA software contracts to support long-term maintainability

Minimum Qualifications

• Must be eligible to obtain and maintain a U.S. personnel security clearance
• Bachelor's degree in EE/CE (or related) plus 8+ years of relevant FPGA experience (or equivalent advanced degree + fewer years)
• Excellent communications skills, must be able to communicate highly technical ideas in a manner that is comprehensible to a team composed of individuals from diverse disciplines
• Strong, demonstrated experience owning production Xilinx FPGA projects (Vivado, constraints, IP integration), plus embedded Linux exposure
• Direct experience with Xilinx RFSoC devices (architecture, data converters, clocking, tool flow, common pitfalls)
• Ability to take an HDL module through the full FPGA flow on an SoC platform
• Experience operating and updating Yocto/AMD EDF-based systems in the field, including remote update/deployment workflows
• Experience writing performant C (and/or Rust) code for embedded systems, and optimizing for highly constrained environments

Preferred / Huge Plus

• Practical experience with coherent timing systems (10 MHz / 1PPS) and debugging timing-sensitive field issues 
• Modify and improve FPGA-based RF/radar signal processing chains
• Work with RF/signal-processing stakeholders to translate performance needs into FPGA changes
• Manage fixed-point design tradeoffs and validate against system-level metrics

Perks and Benefits

• Global workforce: flexible remote/hybrid opportunities
• Work on complex, meaningful missions with real-world impact
• Unlimited paid time off for most roles
• Competitive salary and equity packages
• Comprehensive health, dental, and vision coverage
• Access to the forefront of commercial space operations and defense innovation

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identify, national origin, disability, or status as a protected veteran.

What you'll do

• Contribute to our application security program. Work with our SAST, DAST, and SCA tooling, triage and prioritize vulnerabilities, and partner with engineering teams to drive remediation. Participate in threat modeling and secure design reviews on new products and services.
• Share incident response on-call. Investigate, contain, and resolve security incidents alongside the rest of the team. Help refine our runbooks, detection coverage, and post-incident process.
• Help harden our cloud and Kubernetes environment. Contribute to security posture across GCP and GKE: IAM and least-privilege, secrets management, container and supply chain security, and IaC guardrails (Terraform).
• Build detections and security automation. Engineer high-signal detections from cloud, identity, and application telemetry. Automate the toil of vuln triage, access reviews, SaaS posture, questionnaire workflows so the team scales.
• Streamline customer security work. Help respond to customer security questionnaires and audits, and build internal tooling and a knowledge base so this scales as deal volume grows.
• Strengthen business continuity and DR. Help assess threats to continuity, contribute to DR plans, and run real exercises against them.
• Help drive a security culture across engineering. Pair on developer training, secure-coding guidance, and standards work to make the secure path the easy path.

Who We Hope You Have: 

• 5+ years of hands-on experience managing cloud infrastructure and automation.
• Experience in achieving SOC2 Type II, ISO 27001, or similar certifications
• Experience with Node.js or Python for backend services in a microservices architecture.
• 3+ years of experience with cloud providers, preferably Google Cloud Platform (GCP).
• Solid experience with cloud security on GCP or AWS, including IAM, Kubernetes, and IaC.
• Knowledge of asynchronous processing, message queues (e.g., Kafka, Pub/Sub), and event-driven architecture for backend applications.
• Experience focused on the internal engineer team success

$160,000 - $190,000 a year
Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above. Total compensation package does include stock options, benefits and additional perks. 

About the role

In this role, you’ll be responsible for developing microservices in a distributed deployment environment with an emphasis on containerisation with Docker and K8S. You won’t just be writing simple CRUD applications, but instead will be working on the core logic of complex systems that are accessed millions of times a day. We wrote our system from scratch about 3 years ago, so you’ll be working with the latest technology and won’t have to worry about decades old legacy code.

With our millions of users a key focus for our platform is that of stability and robustness, by ensuring we have 24/7 coverage on our team we aim to be the best sporting platform in the world.

Our stack (we don't expect you to have all of these)

• Language: Java 17
• Frameworks: Spring Boot (Tomcat, Netty), Spring Data, Spring Cloud
• Architecture: Microservices, REST API, Message Queues
• Database: MySQL, MyBatis, ShardingSphere, MongoDB
• Caching: Redis (AWS ElastiCache), ElasticSearch
• Message Queue: RocketMQ
• Cloud: Docker, Kubernetes, AWS
• Monitoring: Grafana, Prometheus, Loki, Tempo, AWS CloudWatch

What you'll be doing

• Work across a Friday-Tuesday shift pattern (including the weekend)
• Develop highly-scalable mobile internet backends for millions of users
• Work with Project Managers and other development team members to determine new features and user stories needed in new / revised applications or large/complex development projects
• Participate in code reviews with peers and managers to ensure that each increment adheres to original vision as described in the user story and all standard resource libraries and architecture patterns as appropriate
• Respond to support calls for applications in production for quick diagnosis and repair to keep things running smoothly for users
• Participate in all team ceremonies including planning, grooming, product demonstration and team retrospectives
• Mentoring less experienced team members 

What you'll bring

• Minimum of 3+ Years within a relevant role
• Be based within Europe or Latin America
• Preferred experience in Spring Boot, Spring Cloud, Spring Data and iBATIS
• Strong experience with highly-scalable web backends
• Experience designing highly transactional systems
• Advanced proficiency in Object Oriented Design (OOD) and analysis
• Advanced proficiency in application of analysis / design engineering functions
• Advanced proficiency in application of non-functional software qualities such as resiliency and maintainability
• Advanced proficiency in modern behavior-driven testing techniques
• Deep understanding of Microservices
• Proficient in SQL
• Expert knowledge of application development with technologies like RabbitMQ, MySQL, Redis etc
• Strong experience with container and cloud solutions such as Docker, Kubernetes and AWS Cloud
• An ability to work independently
• Excellent communication skills in English

What’s in it for you

• Sporty is a remote first company in pursuit of sustainability
• A competitive salary + individual performance based bonuses every quarter
• 28 days paid annual leave
• Our core working hours are 10am-3pm in your local time zone with flexibility outside of this
• Referral bonuses & flash bonuses
• Top of the line equipment
• Annual company retreats to provide great internal networking opportunities

Interview process

• Remote video screening with our Talent Acquisition Team 
• Offline Take home assignment
• Remote video interview with Team Members (60 Mins)
• Final discussion with the hiring manager (60 mins)

If you're interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours.

At Automattic, our Happiness Engineers are the creators and protectors of the customer experience. We take this seriously – every Automattic employee, regardless of role, spends their first two weeks in support and does a one-week rotation annually.

Happiness Engineers introduce our customers to the possibilities of the open web. We teach, instruct, and solve technical problems so that our customers can achieve their publishing and commerce goals. We also advocate for our customers internally, to help build better tools and products to serve their ever-changing needs. 

You can read more about Automattic’s company values here. 

About the Job

As a Happiness Engineer (“HE”), you'll spend around six self-scheduled hours per day helping customers via email and live chat, with constant peer support through Slack. We're fully remote but communicate heavily – expect continuous interaction with both customers and teammates. HEs typically work 1-2 weekend days per month (with equivalent flex days off during the week). This is a snapshot of what the work looks like today, but customer service needs and norms are constantly evolving, and our daily work evolves with it, so your week might look quite different six months from now.  

Beyond customer support, you'll help elevate our entire customer experience by identifying problems before they arise, finding efficiency improvements, and piloting new services like onboarding calls. We want people who thrive on change and jump at new initiatives, plus those who love mentoring peers and making everyone around them better.

Our ideal hire has built a career in customer service and is genuinely motivated by having meaningful, substantive conversations with customers every single day. We’re looking for ambitious, motivated people who want to create a world-class experience every time our customers use our products.

Career Growth as a Happiness Engineer

We view support as a long-term career, not a stepping stone. Some of our most valued HEs have been here for a decade or more. We also strongly believe in growing and challenging our employees, and we promote internally for leadership (including senior leadership). In addition to leadership, Happiness work spans a broad range of functions, and new teams and roles are being introduced on a regular basis. In this role, you’ll have many opportunities to build new skillsets and to work on new initiatives with product, marketing, talent, data, and more. Our Happiness Engineers have transitioned to roles in every possible capacity, both within Happiness and all across Automattic.

What We’re Looking For

• WordPress and/or WooCommerce experience - While you don’t need to have a background in professional WordPress support, you do need hands-on experience beyond just building a couple of personal sites. Be specific about your background in your application.
• Customer support experience - You've worked in technical support, customer experience, or customer success, ideally with high-volume end users, and loved it.
• Initiative and impact - You've gone beyond daily tasks to improve things at your company, with measurable results. Boosted retention? Created efficient solutions? Delivered strategic insights? Tell us.
• Exceptional communication - You build trust with developers, agencies, enterprise clients, and non-technical users alike. Fluent English is required (multilingual is a bonus).
• Self-starter mentality - You're independent, you never miss deadlines, and you thrive in a high-autonomy environment. You learn on the job and manage your workload without heavy oversight.
• Unique expertise - Whether you're a deeply technical troubleshooter, eCommerce expert, experienced leader, or operational genius, tell us how your background makes you perfect for this role. We value diverse experiences!
• AI fluency - You actively use AI tools to do better work, not just as a search engine. You've moved beyond prompting into building workflows, automations, or tools that create real value — for yourself or others. Whether you've shipped a Claude Code project, designed team-level processes around AI, or done something in between, you understand that AI is changing how we work.

Salary range: $40,000-$68,000 USD - Please note that salary ranges are global, regardless of location, and we pay in local currency. We are searching for high-caliber candidates with the skills and qualities to have a net positive for Automattic. Pay will reflect the potential contribution and the impact you can bring, which may, in some cases, go beyond the range stated. 

We’re pleased to offer a straightforward, competitive base salary, providing financial clarity without complex variable components. This isn’t your typical work-from-home job: we are a fully-remote company with an open vacation policy. To see a full list of benefits by country, consult our Benefits Page. And check out these links to learn more about How We Hire and What We Expect from Ourselves. #LI-DNI

WordPress doesn’t try to keep its users inside walled gardens, a rare thing in a world that is dangerously moving away from the open web. Instead, WordPress gives them the freedom to build a business website, an online store, or a personal blog – the way they like it. Big sites or small, using the community-run open source project or Automattic’s WordPress.com, vanilla or customized with hundreds of plugins, WordPress users always get to own and control their data, their expression, and their freedom.

We’re always looking for talented and experienced engineers worldwide, excited to help Automattic’s product ecosystem, and join our mission to make the web a better place. 

What have we worked on recently?

• AI is at the heart of many new product developments and powers a lot of our day-to-day development workflows.
• WooCommerce is the most popular and most flexible e-commerce platform on the web. We're working tirelessly on giving you all the control, while keeping the platform fast and stable.
• Gutenberg is a new block-level editor for WordPress with clean abstractions for users, too, not just developers.
• Tumblr is a microblogging social network where users create, share, and follow what they love.
• To view more of our recent work, check out our longer product list on Automattic.com.

How do we work?

• We’re kind to each other and our users – we build a positive, supportive, and inclusive culture of cohesive teams focused on building useful products for our customers.
• We work as a global and distributed workforce resulting in a unique way of working built around our creed. 
• We offer flexible work arrangements allowing our team members to work when they feel best.
• We open-source! We’re cool with open-sourcing everything except passwords, or secret keys.
• We ship often, deploying many times daily with the help of peer code review, continuous integration, and our global workforce in over 70 countries.
• We welcome collaboration, and you can be involved in any discussion across our many communication channels.
• We encourage you to learn and develop and we support you with what you need – covering expenses, easy internal mobility, coaching.

Enough about us, let‘s talk more about you. Working at Automattic might be a good fit if:

• You care and often obsess over the quality and the details of your work.
• Debugging any problem is a fun challenge and not a chore.
• Understanding the layers of abstraction below and above your work isn't something extra, but how you operate.
• You have production experience with several programming languages, frameworks, and paradigms. We mostly use PHP and JavaScript at Automattic, we expect you to be comfortable with the idea of becoming an expert in these languages, even if being one isn't a requirement to apply.
• In your mind abstraction is associated as much with cost as it is with value.
• You have experience working at scale – it can be on the backend and performance side, or via the complexity of interacting with a multi-million diverse userbase.
• Are open and able to travel 3-4 weeks per year to meet up with your teammates in person.

These are exciting times at Automattic and you’ll have a unique opportunity to shape the future of our products. Join us! We look forward to hearing from you.

Curious who works in engineering at Automattic? Meet our Code Wranglers – Brandon, Jeremy, Mark, Jennifer, Roy and Kat! 

What to Expect:

We know applying to jobs can be stressful and we want to ease the stress by giving clear expectations upfront about our process. We’ve outlined everything you need to know here including all of the steps in the process as well as how we approach hiring. 

Please note that we are paying extra attention to your answers to the questions in the application form. They are a significant part of the hiring process, and we will review them just like we would review any other step of the hiring process. We’re always iterating so if you happen to join us in the process, please feel free to offer feedback on what else we can include there!

Salary range: $70,000-$170,000 USD. Please note that salary ranges are global, regardless of location, and we pay in local currency.

We are searching for high-caliber candidates with the skills and qualities to have a net positive for Automattic. Pay will reflect the potential contribution and the impact you can bring, which may, in some cases, go beyond the range stated.

We’re pleased to offer a straightforward, competitive base salary, providing financial clarity without complex variable components. This isn’t your typical work-from-home job: we are a fully-remote company with an open vacation policy. To see a full list of benefits by country, consult our Benefits Page. And check out these links to learn more about How We Hire and What We Expect from Ourselves. #LI-Remote

Role Overview

As a Founding Senior Customer Engineer at Federato, you’ll be a hands-on in helping insurance carriers and MGUs realize the full power of RiskOps. You’ll partner with Sales to lead technical discovery, solution design, and demo delivery. You’ll also co-create the systems, tools, and content that drive our early SE motion.

What You'll Be Doing

• Own technical sales engagements from discovery through close
• Deliver tailored, high-impact demos focused on business outcomes
• Translate customer workflows into Federato configurations — including quoting, rating, endorsements, and portfolio optimization
• Lead RFP and security questionnaire completion in collaboration with Product and Security teams
• Build and maintain reusable demo environments reflecting target customer segments
• Develop onboarding materials, configuration libraries, and example rating logic
• Partner with the Manager, Pre-Sales and Product Marketing to refine messaging frameworks and technical collateral
• Co-define and continuously improve the pre-sales lifecycle (discovery, solutioning, handoffs, etc.)
• Contribute to shared team assets like:
  • Discovery playbooks
  • Configuration scopes and success criteria templates
  • Demo setup guides and walkthroughs
• Collaborate with Product and Engineering to align roadmap with customer pain points
• Surface recurring objections and product gaps with clarity and context
• Provide post-sale context to Implementation & Customer Success

Who We Hope You Are

• 6–10+ years in technical pre-sales, solutions engineering, or technical consulting
• Hands-on experience in demos, architecture design, and enterprise sales support
• Strong insurance domain knowledge (or curiosity to learn quickly)
• Familiarity with policy lifecycle management, rating, quoting, and underwriting systems
• Ability to communicate technical value to both execs and practitioners
• Coding competence in Javascript and SQL
• Up to 30% Travel

An overview of this role

As a Staff Forward Deployed Engineer at GitLab, you will work at the intersection of customer outcomes, product direction, and hands-on engineering. This role is focused on strategic accounts in the AMER region, where you will help customers adopt GitLab and the GitLab Duo Agent Platform in complex enterprise environments, including self-managed, regulated, and constrained deployments. You will guide deep technical discovery, design practical adoption paths, and build reusable solutions that help customers move from early platform use into broader CI/CD, security, compliance, and AI-enabled workflows.

This is not a traditional consulting role centered on one-off delivery. Instead, you will use customer issues to create durable technical assets, shape architecture patterns, and influence upstream product and engineering decisions when field needs point to a broader solution. Your work will help reduce time to value for strategic customers while improving how GitLab scales adoption across similar environments.

Some examples of our projects:

• Building a regulated-environment deployment accelerator for GitLab Duo Agent Platform in self-managed or constrained environments
• Authoring reusable reference architectures for AI Gateway, identity, runners, network boundaries, model connectivity, and governance controls

What you’ll do

• Conduct deep technical discovery in selected strategic accounts to assess platform readiness, evaluate constraints, and identify high-value adoption opportunities across GitLab and GitLab Duo Agent Platform.
• Lead architecture and delivery design for complex enterprise environments where platform migration, regulated requirements, and product boundaries intersect.
• Partner with customer stakeholders and GitLab account teams to prioritize use cases based on business impact, technical feasibility, repeatability, and long-term platform value.
• Design and build bounded proofs, prototypes, deployment patterns, and reusable accelerators across source code management, CI/CD, security, compliance, and AI-enabled workflows.
• Architect self-managed and enterprise deployments, including runners, access controls, network boundaries, observability, AI Gateway, model connectivity, and governance controls.
• Turn recurring field patterns into reusable assets such as runbooks, templates, design notes, technical guidance, product briefs, and reference architectures that can be used across accounts.
• Contribute code, technical designs, or architecture changes when strategically necessary, in partnership with product and engineering, to address blockers that should be solved upstream.
• Travel as needed for strategic customer engagements, architecture workshops, and team coordination, with expected travel up to 50%.

What you’ll bring

• Experience in software engineering, platform architecture, forward deployed engineering, technical consulting, or similar customer-facing engineering roles.
• Strong software engineering fundamentals, including the ability to read, reason about, and contribute to production systems, ideally with experience in Ruby on Rails and/or Go.
• Strong systems design and software architecture skills, with experience evaluating APIs, asynchronous workflows, CI/CD systems, security boundaries, scalability, and operational tradeoffs.
• Hands-on experience with GitLab CI/CD, pipeline design, YAML, runners, and GitLab APIs.
• Experience with infrastructure as code and enterprise deployment tooling such as Terraform, Ansible, Helm, or similar approaches.
• Working knowledge of large language models, agentic patterns, tool orchestration, and the practical limits of AI systems in production environments.
• A track record of creating reusable technical assets that outlive a single engagement, along with strong written and verbal communication skills for technical design and architecture guidance.
• Comfort leading conversations with senior stakeholders across security, compliance, engineering, platform, and business teams, especially in ambiguous enterprise environments.

About the team

The Staff Forward Deployed Engineer works closely with teams across Customer Success, Solutions Architecture, product, and engineering to solve hard adoption problems in enterprise customer environments. We focus on high-leverage technical work for strategic customers, especially when standard approaches do not fully fit the environment or the adoption challenge.

We are especially valuable in situations where self-managed deployment models, security and compliance requirements, migration complexity, or AI platform adoption create barriers that standard approaches do not fully address. Success on our team comes from strong technical judgment, a bias for reuse, and the ability to balance immediate customer needs with long-term platform impact. 

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify 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.

WP Cloud powers WordPress at scale, and security is a critical part of that foundation. We’re expanding our security team to support WP Cloud, while also contributing to the protection and intelligence provided by WPScan and Jetpack Protect. As a Security Researcher, you will analyze vulnerable and malicious code, track emerging threats, and help build the tools and processes that detect, prevent, and remediate malware and other security issues across the WordPress ecosystem. If you have a knack for solving puzzles and a passion for documenting and operationalizing solutions, this is a great opportunity to make a broad impact.

The Senior Security Engineer position might be a good fit if you:

• Enjoy securing and protecting websites and applications.
• Have at least 3 years of experience as a security researcher, or equivalent experience investigating vulnerabilities, malware, or other threats.
• Understand threat models, security threats, vulnerabilities, and common attack vectors such as XSS, injection, hijacking, social engineering, and so on, along with how to mitigate them.
• Have experience with PHP and some exposure to software engineering.
• Are highly collaborative, and love participating in code reviews and discussions about architecture or design.
• Have a strong ability to use AI tools effectively to accelerate your work, improve analysis, and enhance the quality of your solutions.
• Are open, and able, to travel 2-3 weeks per year to meet up with your teammates in person.

Extra Credit:

• Experience with penetration testing and associated tools.
• Previous experience with malware detection systems.
• Reported vulnerabilities in the past.
• Know your way around WordPress and its file and database structures.
• Have experience writing and debugging WordPress plugins and themes.

Speaking of interests and skills, here are some areas in which you can grow and have further impact in the future at the company:

• Leadership – we offer a variety of leadership options to those who have an interest, including becoming a team lead and managing releases.
• Learning and development – we have a generous personal development budget and encourage you to grow your skills through courses, books, and conferences.
• Architecture – we encourage developers to build expertise in the systems they work with, guide their evolution, and mentor other developers working on them.
• Engineering effectiveness – we believe in helping other developers become more effective through tools, practices, cross-team collaborations, and process 

Compensation and Benefits

Salary range: $70,000-$170,000 USD.  Please note that salary ranges are global, regardless of location, and we pay in local currency.

We are searching for high-caliber candidates with the skills and qualities to have a net positive for Automattic. Pay will reflect the potential contribution and the impact you can bring, which may, in some cases, go beyond the range stated.

This isn’t your typical work-from-home job—we are a fully-remote company with an open vacation policy. Read more about our compensation philosophy. To see a full list of benefits by country, consult our Benefits Page. And check out these links to learn more about How We Hire and What We Expect from Ourselves. #LI-Remote

Senior Software Engineer: Front-End

About the role 

We are seeking someone to lead, architect and develop features for our Risk Cloud platform. This role requires a deep understanding of business and engineering goals, and the ability to work collaboratively with team members to achieve them. The ideal candidate will inspire and exemplify cross-functional collaboration, working closely with product managers, designers, engineers, and QA professionals. They will advocate for and implement modern best practices in engineering, including a testing-first mindset, frequent releases, and iterative development with small feedback loops. Additionally, effective communication and the ability to produce clear documentation for features and processes are essential for this position.

How you'll spend your time:

• Develop / Utilize Angular, Typescript, and other leading Front-End tools to build a market leading product.
• Quality / Write tests and review code to facilitate an efficient dev cycle and prevent the occurrence of bugs.
• Collaborate / Work closely with cross-functional team members using Agile methodologies to iterate on feature work.
• Optimize / Help improve our front-end application for speed, reliability, and scalability.

What we use:

• Frontend: TypeScript, Angular, Webpack, Sass
• Backend: Spring Boot, Java, Kotlin, Go
• Data: Neo4j, Redis, RabbitMQ, PostgreSQL
• Test: JUnit, Karma, Jasmine, Spectator, Cypress
• Infrastructure: AWS, Terraform, Kubernetes, Docker, Ansible
• Work: GitLab, Slack, Jira, Confluence, G Suite

We get excited about you if you have:

• Significant (6+ years) of professional experience in software engineering or a Bachelor's in Computer Science or a related field (we value outcomes over number of years)
• Desire to grow as a leader, architect, and coder within an engineering atmosphere that moves quickly and strives to raise the bar.
• Understanding of best practices and competency in one or more modern languages (it doesn't have to be a language that is part of our stack).
• Strong expertise developing web applications with modern Front-End frameworks.
• Desire for an autonomous environment that enables you to do your best work.

How you’ll Raise the Bar:

• The tools, languages, and frameworks powering our platform align with your work history.

• While a Front-End expert, you thrive working across the full software stack.
• You’ve worked to bolster or optimize E2E systems.

The anticipated base salary range for the role is $125,000 - $165,000 per year + variable + equity + benefits. Actual salaries may vary and will be based on factors, such as the candidate's qualifications, skills, competencies, and proficiency for the role. Internal candidates who have current pay within or above the hiring range are still encouraged to apply if interested.

LogicGate’s Hybrid Workplace

Our hybrid workplace allows for flexibility aligned to role responsibilities and exceptional customer delivery. Location requirements for this role can be found above. 

Total Rewards 

We are proud to offer a variety of competitive, inclusive, and comprehensive total rewards that are designed to support the unique needs of our employees both inside and outside of the workplace.

In addition to offering competitive salary and variable compensation plans, equity options, and flexible health and wellness benefits, we are proud to offer generous PTO, Annual Company Holidays, Health Days, and Summer Fridays.

Employees' growth and development are supported throughout their career journey through informal and formal programs and activities, including access to LinkedIn Learning, regular People Leader training, and our internal Mentorship Program. 

Our Culture

At LogicGate, our culture and employee experience are grounded in our core values of Be as One, Do the Right Thing, Embrace Curiosity, Own It, Empower Customers, and Raise the Bar, which guide how we show up - for each other, our customers, and all we interact with.

We believe that the strongest teams are made up of individuals who bring their different identities, experiences, and perspectives to the table. We are committed to fostering an inclusive work environment where all employees’ differences are celebrated and everyone is encouraged to bring their authentic selves to work.

We encourage everyone to join one of our Employee Resource Groups (AAPI @ LogicGate, Pride at LogicGate, and Women in LogicGate) to participate in and contribute to conversations that foster an inclusive culture.

LogicGate also believes strongly in giving back to the communities in which we live and work. To enable our teams to give back, we offer paid volunteer hours and company-wide charitable activities supporting a variety of organizations and causes.

We are proud to have been recognized as a top workplace by Built In, Crain’s Chicago Business, the Chicago Tribune, and more. Visit our website to learn about our latest recognition.

Learn more about our culture here. 

Excited about LogicGate but not familiar with GRC? 

• GRC stands for Governance, Risk, and Compliance
• GRC professionals help their companies manage uncertainty, act with integrity, and stay on the right side of the law. 
• The GRC market is rapidly expanding with continuous growth opportunities. The current market size was valued at $50.5 billion in 2024 and is projected to reach $104.5 billion by 2031.

ABOUT THE ROLE

We are looking for an Operational Security Engineer to join our global FinTech organization and help strengthen the security of our people, devices, identities, and business operations.

This role focuses on building and operating practical security controls across the company’s internal environment. You will help secure enterprise platforms, strengthen identity and endpoint posture, assess risks introduced by third-party tools and emerging technologies, support incident response, and improve operational resilience across the organization.

We are looking for someone who is hands-on, analytical, and operationally minded, with strong cybersecurity experience and the ability to think like an adversary. The ideal candidate understands how modern threat actors operate, can apply threat-informed thinking to real-world business environments, and is comfortable working across identity, SaaS, endpoint, and user security.

You will collaborate closely with internal teams such as Productivity & AI Engineering, Cloud Security, and Application Security whenever work spans multiple security domains.

KEY RESPONSIBILITIES

• Operate and continuously improve the security enterprise platforms through effective controls, detections, monitoring, and incident response.
• Configure and manage IAM, access controls, and contextual access policies in line with least-privilege principles and secure access standards.
• Manage and maintain the company’s MDM/EDR capabilities, ensuring endpoint visibility, policy coverage, timely updates, and organization-wide adoption.
• Review new tools, workflows, and third-party integrations, including SaaS, AI tools, MCPs, and plugins—and provide practical security guidance to reduce operational risk while enabling the business.
• Drive and improve the company’s security awareness program, helping users operate safely through practical guidance and support.
• Monitor emerging attacks, vulnerabilities, and threat actor tradecraft, and turn that knowledge into practical defensive improvements across the company.
• Apply adversarial thinking and practical threat modeling to identify realistic attack paths and improve operational resilience across user workflows, enterprise tooling, and internal systems.
• Help define and improve security policies, standards, best practices, and configuration baselines for internal systems and business tooling.

WHAT YOU BRING

• Fluency in English.
• Strong hands-on experience securing and operating enterprise SaaS and cloud platforms.Experience with identity and access management, contextual access controls, and secure administration of business-critical systems.
• Experience operating MDM/EDR and other endpoint security controls.
• Experience responding to security incidents, compromises, and breaches.Advanced cybersecurity experience, including exposure to sophisticated threat actors, knowledge of modern attacker tradecraft, and the ability to apply an adversarial mindset to defensive work.
• Experience conducting practical threat modeling with real operational impact.
• Experience assessing the security of third-party tools, integrations, and emerging technologies introduced into the business.
• Ability to perform open-source threat intelligence activities relevant to current threats and company exposure.
• Strong communication and cross-functional collaboration skills.
• Experience working in Agile environments.

Nice to have

• Experience in FinTech, crypto, or other fast-moving technology environments, with familiarity with blockchain ecosystems and decentralized security challenges.
• Experience with Python and/or JavaScript.
• Experience with on-chain threat monitoring and forensics.
• Experience using AI agents and agentic workflows to improve security operations.

ROOTIES BENEFITS

At RootstockLabs, we don’t just offer a job, we offer a community. Here’s what you can expect when you join us:

• Competitive compensation package and unique benefits designed to support your growth and well-being.
• 100% Remote Work from Europe / Latin America, with access to global CoWorking spaces.
• Work-Life Balance: Paid vacation and sick leave days
• Continuous Learning: Access to training programs, language courses, and learning sponsorship annually.
• Unique Projects: Work with cutting-edge blockchain technology in a global, diverse team.
• Monthly Allowance for Contractors to support your connectivity and well-being.

ABOUT ROOTSTOCKLABS  

RootstockLabs builds Bitcoin-secured DeFi infrastructure that enables companies and financial institutions to offer borrowing, lending, investment, and payment solutions at global scale.

• Market: Companies, financial institutions, and their customers
• Product: Bitcoin-secured DeFi financial products
• Distribution: B2B2C through regulated financial institutions

We operate at the intersection of crypto infrastructure and institutional finance, enabling compliant, scalable access to decentralized financial services powered by Bitcoin.

Location

Remote

About the Role

You will own the end-to-end delivery of our core platform that powers our ATS, Video, Scheduling, and Telephony integrations along with our flagship AI features. Working in lockstep with Product and Design, you’ll move quickly to design, build, and refine features throughout the entire stack from data pipelines, database performance, and prompt engineering through the backend, and all the way to frontend interactions. You’ll focus on the performance and stability of the platform along with new product features to enable integrations, AI, and customer workflows. You will work on the output quality of AI features and make sure users get accurate, on-brand AI outputs fast. You’ll work on real features people use every day—things like:

• Automatic video recording and transcription.
• AI Notes and Summaries.
• Ensuring the platform can scale and reliably record, transcribe, and generate AI summaries for over 250,000 interviews per month.
• Generating insights and advanced AI insights quickly and reliably for all of our recorded interviews.
• Customizable interview summaries that enable customers to create fully personalized AI-generated summaries using their own structure and criteria.
• …and more

What You’ll Bring

• You have plenty of experience building across the stack in Python and Javascript/Typescript, especially building out the backend logic, data models, and architecture.
• You have a deep understanding and experience with data pipelines, distributed architectures, and scaling applications in high-scale environments.
• You think deeply about how customer facing features work for end users and can make decisions with user empathy.
• You might have real world experience building generative AI applications end to end, building prompt chains, eval harnesses, vector search, and more.
• You’ve worked with both structured (SQL) and unstructured data (raw text) and know how to transform them and utilize them together.
• You have product instincts and work well with design.
• You move fast and independently, but you know when to pair and when to pull others in.

About our team

• You’ll have the opportunity to work on high-impact projects in small, autonomous squads, with the flexibility to lead initiatives or focus as an individual contributor depending on your goals and interests.
• Our developer experience is thoughtfully designed, with fast CI (< 10 minutes), 1-click deploys, strong observability, and a clean codebase that enables you to move quickly and confidently.
• Our culture supports sustainable, focused work with fully remote roles, regular working hours, no-meeting Wednesdays, and flexible time off to recharge when needed.
• Our team is composed of smart, collaborative, and genuinely kind people, creating an environment where you can learn, grow, and do your best work.

Equal Employment Opportunity (EEO) Statement

Our company does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.

Engineering at Brex

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

As a Senior Application Security Engineer, you will focus on finding and responding to security vulnerabilities across the Brex platform. In this role, you will perform code reviews, design reviews, penetration testing, and vulnerability management. You will develop and maintain tooling to perform static and dynamic testing of the Brex platform and tooling which supports secure developer workflows. Application Security is part of our wider Financial Scale organization, which means you will work closely with Security Operations, GRC, Product Security, Front End Platform,  IT Infrastructure teams.

We’re looking for individuals with a strong background and interest in penetration testing. You should have a demonstrated ability to find vulnerabilities in complex systems and craft exploits to demonstrate business impact. This role is highly cross functional and collaborative, you will have the opportunity to work with every engineering team across Brex. You should be enthusiastic about working with a variety of backgrounds, roles, and needs. Building a world-class financial service requires world-class security. 

Brex is pioneering the next wave of AI-driven financial services for dynamic, high-impact companies like Coinbase, Robinhood, and Anthropic. We're at the early stages of integrating AI across our product suite, this role will have the opportunity to influence and secure the future of AI Security at Brex. You'll be at the forefront of securing our novel AI implementations, identifying attack vectors in agentic-powered features, and partnering with product and engineering teams to build AI capabilities that our customers can trust with their critical financial operations.

Responsibilities

• Identifying vulnerabilities, demonstrating business impact, and articulating the risk of specific vulnerabilities to drive prioritization efforts
• Perform penetration testing and design reviews, looking for vulnerabilities and insecure designs, work with engineering and product to design secure product features
• Maintain and build internal tools to automate security efforts, perform SAST and DAST testing of the Brex platform, and support secure development practices
• Build and contribute to a culture of collaborative security excellence through technical leadership, learning sessions, and mentorship within the team and wider organization

Requirements

• 5+ years work experience in an Application Security or related role
• Ability to find vulnerabilities in complex systems, demonstrating business impact through custom attack chains
• Experience with a wide range of secure development activities including— threat modeling, developer education, and incident response
• Knowledge of Python, scripting languages, and AI/agentic workflows to automate tasks, build tools and improve productivity
• Collaborative mindset paired with strong written and verbal communication skills

Bonus points

• Proficiency with Kotlin, gRPC, GraphQL, Kubernetes
• Previous experience as a software engineer
• Consultancy experience performing web application security reviews
• Experience with securing distributed systems in AWS and cloud environments
• Experience with pentesting and securing agentic features and systems
• Contributions to the wider technical community— open source, public research, mentorship, community organizing, blogging, CVEs, presentations, etc
• Experience submitting to bug bounty programs or responsible disclosure programs

Compensation

The expected salary range for this role is $192,000 - $240,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

In the time it takes you to read this job description, RapidSOS will have handled ~1,380 emergencies.

At RapidSOS, we are committed to using technology to build a safer, stronger future and working together to save lives. We’re in an exciting phase of growth, welcoming new members from across the globe to our mission-driven, ambitious, and inclusive team. Our work is founded on our values of elevating purpose, inventing tomorrow, delivering with urgency, serving with integrity, and winning together, all of which support a company culture where people can innovate, collaborate, grow, and, above all, make an impact. 

RapidSOS is ​​the leading public safety AI company that unlocks mission-critical intelligence for first responders and security teams – enabling faster, smarter and more accurate emergency response. Real-time data from the world’s largest safety network of 700M+ devices, 200+ global enterprises, and 23,000+ federal, state and local agencies fuels the RapidSOS HARMONY AI engine that delivers this intelligence to those who need it most. Learn more at www.RapidSOS.com.

What this role is about:
As a Senior Technical Account Manager (Sr. TAM) at RapidSOS, you will serve as the lead technical partner for our most complex and high-value enterprise customers. In this senior capacity, you will not only ensure the reliability and performance of critical systems but also act as a strategic consultant, mentoring junior team members and driving the technical evolution of our largest partnerships.

You will operate at the highest level of technical customer operations, telephony, and engineering, serving as a subject matter expert who guides enterprise organizations through ongoing operations with our technical teams.  Additionally for new accounts you’ll have to navigate architectural changes and large-scale platform migrations. If you are a seasoned technical professional who excels in high-stakes environments and possesses a deep-seated drive to improve the technology supporting emergency response, this role offers the opportunity to make a massive impact on global safety.

What you’ll do: 

• Lead the technical strategy for a growing premier portfolio of monitoring company customers, acting as their most senior trusted advisor and executive escalation point.
• Architect and oversee the design of enterprise-grade call flows, including advanced telephony routing, complex failover strategies, and custom integration patterns.
• Proactively audit system performance across the enterprise, identifying systemic risks and driving large-scale improvements to reliability, latency, and call success rates.
• Direct high-severity incident response coordination, conducting deep-dive root cause analysis and ensuring long-term remediation strategies are implemented across the customer base.
• Synthesize complex customer requirements into high-level strategic feedback for product and engineering leadership to help define the long-term platform roadmap.
• Orchestrate complex platform migrations and global feature rollouts, ensuring zero-downtime transitions for mission-critical services.
• Collaborate cross-functionally with leadership in engineering, product, and operations to refine the customer experience and internal support workflows.
• Establish and evangelize best practices regarding redundancy, monitoring, and massive-scale handling for real-world emergency spikes.
• Mentor junior Technical Account Managers, providing guidance on technical troubleshooting and relationship management.
• Analyze macro-level metrics and trends to drive continuous service improvement and business reviews with customer stakeholders

What we’re looking for in our ideal candidate: 

• 8+ years in a Technical Account Manager, Solutions Engineer, or similar senior technical role supporting large-scale enterprise customers. 
• Expert-level experience working with APIs, complex distributed systems, and cloud-based platforms. 
• A proven track record in environments where high uptime, low latency, and extreme reliability are non-negotiable. 
• Mastery in incident management, maintaining total composure under extreme pressure to drive rapid resolution during live emergencies. 
• Exceptional architectural vision, with the ability to map end-to-end workflows across vast networks of vendors and failure points. 
• Superior communication skills, capable of translating deep technical complexities into strategic insights for C-suite stakeholders. 
• High degree of autonomy and ownership, with the ability to prioritize high-impact tasks in a fast-moving, mission-critical environment. 
• Data-driven mindset, leveraging advanced analytics to guide technical decisions and recommendations. 
• Willingness to travel up to 10%

Nice-to-have experience (but not required!):

• Industry Expertise: Prior experience in the Personal Emergency Response Systems (PERS) space or the broader HealthTech/Remote Patient Monitoring industry. 
  Expertise in telephony concepts such as SIP, global call routing, and VoIP concurrency. 
• Extensive experience with Public Safety technology, medical alert systems, or high-volume contact centers. 
• Advanced knowledge of SRE (Site Reliability Engineering) practices, SLOs, and error budget management. 
• Experience managing complex, multi-party integrations in production-grade environments.

What we offer: 

• The chance to work with a passionate team on solving one of the largest challenges globally 
• Competitive salary and benefits and equity participation 
• A dynamic, flexible and fun start-up work environment with a highly talented team

If you're curious to learn more about RapidSOS, you can check out https://rapidsos.com/blog/ 

Starting pay for a successful applicant will depend on a variety of job-related factors, which may include experience, relevant skills, training, education, location, business needs, or market demands. The salary range for this role is $150,000 - $180,000. This role will also be eligible to receive equity options. #LI-Remote

RapidSOS is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or Veteran status. 

Engineering at Brex

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

As an Application Security Engineer, you will contribute to finding and responding to security vulnerabilities across the Brex platform. In this role, you will participate in code reviews, design reviews, penetration testing, and vulnerability management. You will contribute to tooling that performs static and dynamic testing of the Brex platform and supports secure developer workflows. Application Security is part of our wider Financial Scale organization, which means you will work closely with Security Operations, GRC, Product Security, Front End Platform, and IT Infrastructure teams.

We're looking for individuals with a solid foundation in penetration testing and a curiosity for finding vulnerabilities in complex systems. You should have experience identifying and documenting vulnerabilities across common vulnerability classes and be able to communicate their risk clearly to engineering and product teams. This role is highly cross-functional — you'll have the opportunity to collaborate with engineering teams across Brex and grow your security expertise in a fast-moving environment.

Brex is pioneering the next wave of AI-driven financial services for dynamic, high-impact companies like Coinbase, Robinhood, and Anthropic. As we integrate AI across our product suite, this role will give you hands-on experience contributing to AI security at Brex. You'll apply emerging AI security best practices to help secure our agentic features, identify attack surfaces introduced by LLM-powered systems, and partner with product and engineering teams to build AI capabilities our customers can trust with their critical financial operations.

Responsibilities

• Identify vulnerabilities across common vulnerability classes (e.g., OWASP Top 10), document findings clearly, and communicate risk to drive remediation efforts
• Participate in penetration testing and design reviews alongside senior engineers, contributing to the identification of vulnerabilities and insecure designs
• Contribute to internal tooling and automation efforts that support SAST and DAST testing of the Brex platform and promote secure development practices
• Collaborate with engineering and product teams to support the design of secure product features
• Actively contribute to a culture of security awareness through knowledge sharing and peer learning

Requirements

• 4+ years of work experience in Application Security or a related role
• Demonstrated ability to find and document vulnerabilities in complex systems, with clear communication of business risk
• Hands-on experience with a subset of secure development activities, such as code review, threat modeling, or penetration testing
• Experience identifying security risks in AI/ML systems — such as prompt injection, model manipulation, or data poisoning — through work experience, personal projects, CTFs, or bug bounties
• Familiarity with agentic workflows and the ability to reason about attack surfaces introduced by LLM-powered features
• Knowledge of Python or scripting languages to automate tasks and build tooling
• Collaborative mindset paired with strong written and verbal communication skills

Bonus points

• Experience with Kotlin, gRPC, GraphQL, Kubernetes
• Previous experience as a software engineer
• Experience with securing distributed systems in AWS and cloud environments
• Experience with web application security reviews
• Contributions to the wider technical community — open source, public research, CTF participation, blogging, CVEs, or presentations
• Experience submitting to bug bounty or responsible disclosure programs
• Published AI security research or contributions to AI security frameworks

Compensation

The expected salary range for this role is $152,000 - $190,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.

As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.

About the Role

fal is seeking a highly skilled Technical Support Engineer to provide high-quality support and service to our Customer base and Internal teams. You will play a critical role in providing advanced support directly to our Customers, and collaborating with engineering and Sales teams to enhance our products and services.

Key Responsibilities

• Resolve technical issues and provide advanced support directly to customers, including support for fal’s platform (APIs, UI issues, and troubleshooting errors).
• Support users across multiple products via email, chat, and Slack.
• Troubleshoot integration issues, including authentication problems (OAuth, API keys), HTTP errors, malformed requests, rate limits, and API misconfigurations.
• Analyze API logs, error messages, and request/response payloads to identify root causes.
• Manage support tickets by responding within SLA timeframes, escalating complex issues appropriately, and maintaining detailed case records.
• Reproduce, escalate, and document bugs or edge cases in collaboration with engineering.
• Provide structured feedback to engineering teams regarding platform reliability, performance bottlenecks, and customer-reported issues, serving as an internal advocate for customer pain points and product improvement.
• Assist with testing and validation of new features, releases, and infrastructure changes before production deployment.
• Write and maintain technical content, including use case guides, how-to examples, FAQs, solutions for common errors, and documentation of issues and resolutions for the knowledge base.
• Improve developer documentation to make integration as self-serve as possible.

What You Bring

• Strong analytical thinking, technical problem-solving skills, and a systematic approach to troubleshooting technical issues across web platforms, cloud environments, and enterprise software.
• Experience supporting and troubleshooting REST APIs and backend services, including working directly with REST APIs and authentication flows (OAuth2, API keys).
• Experience using monitoring, logging, and observability tools to support production systems.
• Familiarity with AI platforms, machine learning systems, or data-intensive applications.
• Excellent written and verbal communication and interpersonal skills, with the ability to clearly and empathetically explain complex technical concepts to both technical and non-technical stakeholders/users in English.
• Experience providing technical support with a customer-first mindset, demonstrating patience, empathy, and a focus on user success.
• Strong technical writing abilities with experience creating and maintaining user guides, FAQs, and troubleshooting documentation.
• Demonstrated ability to prioritize effectively, respond quickly to critical issues with a sense of urgency, and maintain composure under pressure.
• Ability to work independently and collaboratively, handling multiple concurrent support cases while maintaining quality and meeting response time commitments.
• Self-starter who can identify process improvements and proactively address recurring issues (Initiative).
• Familiarity with tools such as Slack, Linear, Notion, and GitHub.
• Familiarity with authentication protocols like REST APIs, OAuth2, JWT, and API key auth.

Why fal

At fal, you’ll join a rapidly scaling company defining how AI moves from experimentation to production. This is an opportunity to shape the future of enterprise AI adoption while building deep relationships with customers who are transforming their industries through intelligent technology.

What we offer at fal

• Interesting and challenging work
• Competitive salary and equity
• A lot of learning and growth opportunities
• Regular team events and offsites

JOB SUMMARY

We’re looking for a Senior QA Engineer who combines technical expertise with a proactive, collaborative mindset. You’ll be a key contributor to how we deliver quality, leading by example and communicating effectively across disciplines to raise the bar for engineering standards.

You’ll join our dynamic and growing Product Engineering team at Storyblok, playing an instrumental role in ensuring the quality and reliability of our flagship CMS platform. This platform empowers businesses to create and deliver seamless digital content experiences.

In this role, you’ll work closely with product owners, designers, and developers to design and maintain clean, scalable automated tests, develop thorough test plans, perform rigorous testing, and continuously refine QA strategies to maintain best-in-class software quality. Your work will directly contribute to delivering an exceptional user experience by ensuring flawless performance across every facet of our application.

ESSENTIAL JOB FUNCTIONS

• Own projects end-to-end with clarity, technical excellence, and accountability, ensuring high-quality standards across teams.
• Champion quality and coding standards, promoting engineering excellence, and driving continuous improvement.
• Design, implement, and maintain efficient and reliable automated tests across frontend and backend using Playwright and TypeScript.
• Think strategically about test automation; collaborate with developers to ensure balanced test coverage within the testing pyramid.
• Contribute to and evolve the overall testing strategy, improving QA processes and metrics.
• Prepare and review test plans to validate both functional and non-functional requirements.
• Perform manual and exploratory testing; document, track, and verify defects to ensure product excellence.
• Analyze test results and monitor key testing metrics to identify patterns and opportunities for improvement.
• Participate actively in project kick-offs to understand requirements, anticipate risks, and influence testability from the earliest stages.
• Advocate for user experience and product quality, collaborating closely with product, design, and engineering to align QA goals with delivery outcomes.
• Identify and communicate issues, risks, or dependencies early, escalating to product leadership when necessary.
• Mentor and support teammates, fostering an open, empathetic environment that encourages learning, feedback, and high-quality automation practices.

EDUCATION AND EXPERIENCE

• Bachelor's or Master's degree in Computer Science or a related field.
• 7+ years of relevant experience as a QA Engineer.
• 3+ years of proven experience in test automation across frontend and backend using Playwright.
• Strong proficiency in TypeScript with experience building scalable, maintainable automation frameworks.
• Comprehensive knowledge of CI/CD pipelines (GitHub Actions).
• Excellent communication and collaboration skills, with the ability to influence and align across technical and product teams.
• High attention to detail, proven ability to deliver results and a strong motivation to contribute to organizational growth in a high-performing environment.
• Experience in defining and driving test automation standards across teams.
• Experience mentoring QA engineers in test design, coding practices, and quality ownership.
• Demonstrates AI literacy, with the ability to leverage AI tools to enhance productivity, decision-making, and quality of work while applying sound judgment and critical thinking.

NICE TO HAVE

• Experience writing and maintaining Ruby on Rails code.
• Experience with observability and error tracking tools (e.g., Grafana, Kibana, Sentry) and identifying errors, trends, and issues.
• Experience with accessibility testing and best practices.

Why this role exists:

We are growing our AI team and are looking for a Senior AI / Generative AI Engineer to build and operate production-grade LLM-based systems across the platform.

This role focuses on applied Generative AI: internal AI automation, chatbots, AI assistants, and MCP-based services already used in production. You will work on top of an existing ML and data platform, building systems that are reliable, maintainable, and practical to operate.

This is a hands-on engineering role with end-to-end ownership. Not research. Not prompt-only.

What you’ll drive:

Technical Ownership

• Own LLM-based systems from design to production support.
• Design architectures for Generative AI systems (RAG, agents, tool/context serving).
• Make clear trade-offs between quality, latency, cost, and complexity.
• Set engineering standards for building and operating AI systems in production.
• Act as a technical reference point for applied GenAI.

Hands-on AI Engineering

• Build and maintain production LLM-powered systems.
• Develop chatbots and AI assistants with predictable behavior.
• Design and implement RAG pipelines (ingestion, embeddings, retrieval, generation).
• Implement agent-style workflows with tool/function calling.
• Build and integrate MCP servers or similar context/tool-serving components.
• Integrate AI systems with backend services and ML infrastructure.

Production & Reliability

• Design evaluation frameworks for LLM outputs.
• Monitor LLM behavior, system health, and costs in production.
• Address performance, scalability, and operational issues.
• Handle production incidents and contribute to long-term fixes.
• Design systems with failure modes, fallbacks, and graceful degradation.

What makes you a GR8 fit

Must-have

• Strong software engineering background.
• Proven experience building LLM-based systems in production.
• Hands-on experience with: LLMs and RAG architectures, Chatbots or conversational AI systems, Tool/function calling and agent-style patterns.
• Experience with context or tool-serving systems (MCP or similar).
• Experience integrating AI into real-time production products.
• Understanding of performance, scalability, and cost trade-offs.
• Cloud experience (preferably AWS).
• Strong engineering fundamentals (testing, debugging, reviews, observability).

Nice-to-have

• Multi-agent or workflow-based systems.
• Fine-tuning or adapting open-source LLMs.
• ML platforms / MLOps background.
• Experience operating latency- or cost-sensitive systems.
• Production incident ownership in AI systems.

Tech Stack:

• Languages: Python, SQL.
• LLMs: Amazon Bedrock, OpenAI, Anthropic, open-source models.
• Frameworks: LangChain, LangGraph, Pydantic, Langfuse.
• RAG: Embeddings, Qdrant / FAISS / OpenSearch / pgvector.
• Cloud: AWS (ECS / EKS / Lambda, S3, OpenSearch).
• DevOps: Docker, Git, CI/CD.

In this role, you’ll be responsible for developing microservices in a distributed deployment environment with an emphasis on containerisation with Docker and K8S. You won’t just be writing simple CRUD applications, but instead will be working on the core logic of complex systems that are accessed millions of times a day. We wrote our system from scratch about 3 years ago, so you’ll be working with the latest technology and won’t have to worry about decades old legacy code.A willingness to work in Springboot is fine - as long as you are willing to learn and have demonstrable experience in an object-oriented programming language.

• Language: Java 17Frameworks: Spring Boot (Tomcat, Netty), Spring Data, Spring Cloud
• Architecture: Microservices, REST API, Message Queues
• Database: MySQL, MyBatis, ShardingSphere, MongoDB
• Caching: Redis (AWS ElastiCache), ElasticSearch
• Message Queue: RocketMQCloud: Docker, Kubernetes, AWS
• Monitoring: Grafana, Prometheus, Loki, Tempo, AWS CloudWatch 

• Sporty is a remote first company in pursuit of sustainability
• A competitive salary + individual performance based bonuses every quarter
• 28 days paid annual leave
• Our core working hours are 10am-3pm in your local time zone with flexibility outside of this
• Referral bonuses & flash bonuses
• Top of the line equipment
• Annual company retreats to provide great internal networking opportunities

Interview Process

• Remote video screening with our Talent Acquisition Team
• Offline Take home assignment
• Remote video interview with Team Members (60 Mins)
• Final discussion with the hiring manager (60 mins)

If you're interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours.

About the role

In this role you will be responsible for ensuring the quality of every release that goes out. Sporty isn’t like other organisations that just see QA as a blocker - we give our QA team members the power you need to do your job, including deciding what is ready for launch and what needs more work. You will be involved at every step of the development process, from requirements capture and estimation, all the way through to final testing and launching. 

Our Stack

• Programming language: Python
• DB: MySQL / Mongo DB
• DevOps: AWS / Jenkins / K8S
• Web: Selenium / Postman
• Mobile: Appium / Android Studio / XCode

What you'll be doing

In this role, you’ll be responsible for developing mobile-first, responsive front ends that are used millions of times per day. Our Vue.js frontend is built on a clean, modern architecture and maintained with the same care we bring to every part of our product.A willingness to work in VueJS is fine - as long as you are willing to learn and have demonstrable experience in a similar frontend framework.

Our Stack

• Vue + Vuex + Vue Router + Webpack + Less + SCSS + Typescript Playwright
• Element UIFreeMarker
• AWS, Jenkins, K8s

What you'll be doing

• Develop mobile-first frontends in VueJS
• Focus on performance and user experience
• Create frontends for the backend management systems
• Participate in code reviews with peers and managers to ensure that each increment adheres to original vision as described in the user story and all standard resource libraries and architecture patterns as appropriate
• Participate in team ceremonies including planning, grooming, product demonstrations, and team retrospectives
• Mentoring less experienced team members

What you'll bring

• Minimum of 4+ Years within a relevant role
• Familiarity with at least one: Vue, React, Angular
• Familiarity with Git, ES6, Webpack, Less or Sass, and NodeJS
• Familiarity with state management like Vuex, Redux, Ngrx
• Excellent communication skills Even better if you have 
• Knowledge of backend stack (Java, SpringBoot) 

At Trivelta, we build the technology that powers modern experiences partnering with online sports betting & casino operators to launch their own fully customized branded, legally compliant iGaming platforms and products that drive engagement, retention, and revenue. Through our proprietary sports-book and casino engine, we enable partners to offer real social interactions, predictive gameplay, and casino entertainment in one unified experience.

The Role

As a Lead Backend Software Engineer you will play a pivotal role in designing, developing, and maintaining the platform’s core infrastructure. As a technical leader, this individual will be responsible for driving innovation, optimizing system performance, and ensuring the scalability, security, and reliability while collaborating with cross-functional teams, including product, security, compliance, and data analytics.

Key Responsibilities

• Architect & Develop Backend Systems — Design and implement scalable, high-performance backend solutions, ensuring robust APIs for mobile, web, and third-party integrations.
• Ensure Performance, Security & Compliance — Optimize system performance, scalability, and reliability; implement security best practices; ensure compliance with AML, KYC, data privacy, and state-by-state sweepstakes regulations.
• Manage Data Infrastructure — Build and maintain data pipelines to support analytics, fraud detection, geolocation controls, and regulatory reporting.
• Lead & Mentor — Provide technical leadership, guide engineers in best practices, and foster a culture of continuous learning and innovation.
• Drive Technical Strategy — Lead architectural discussions, evaluate emerging technologies in gaming/fintech/AI fraud detection, and align solutions with long-term company goals.
• Collaborate Cross-Functionally — Partner with product, finance, compliance, and support teams to translate requirements into technical solutions and ensure seamless operations.
• Ensure Operational Resilience — Lead incident response for outages or security events, implement proactive monitoring/alerting systems, and conduct root cause analysis for long-term fixes.

Qualifications

• Proven experience designing, developing, and scaling high-performance backend systems.
• Expert hands-on expertise in Python for backend development, automation, and data processing.
• Skilled in API development, CI/CD, and infrastructure automation.
• Deep understanding of system performance tuning, security protocols, and regulatory compliance (AML, KYC, data privacy).
• Experience with data pipeline design, analytics integration, and geolocation-based access controls.
• Demonstrated leadership in mentoring engineers and making strategic architectural decisions.
• Excellent collaboration skills across product, finance, compliance, and support functions.
• Hands-on experience with incident management, monitoring systems, and root cause analysis.

 Requirements

• Ownership mindset — You take full responsibility for your systems and decisions, proactively identifying problems before they escalate.
• Clear communicator — You can translate complex technical concepts for non-technical stakeholders across product, compliance, and business teams.
• Resilience under pressure — You stay calm and focused during incidents, leading your team through ambiguity without losing sight of priorities.
• Team multiplier — You genuinely invest in the growth of the engineers around you, making the whole team stronger over time.
• Adaptability — You thrive in fast-moving environments where requirements change and you embrace new challenges as opportunities.

POSITION SUMMARY

CIQ is seeking a highly experienced Senior or Principal AI Engineer to own and drive AI/ML innovation across our product portfolio. This role sits at the intersection of AI engineering and systems performance - the right candidate brings deep expertise in model inference optimization, training workflows, and production AI deployment, combined with a strong instinct for performance at the systems level.

In this role, you will be the AI engineering standard-bearer at CIQ. You will design and build turnkey AI workload examples - both internal reference pipelines and customer-facing solutions - ensuring that CIQ’s AI story is always compelling, practical, and demonstrably best-in-class. You will integrate deeply with Fuzzball, CIQ’s cloud-native computing platform, running AI workloads end-to-end through it and helping customers do the same.

KEY RESPONSIBILITIES

This role is leveled as Senior or Principal based on qualifications and demonstrated capabilities.

AI Inference Optimization

• Design, implement, and tune inference pipelines for large language models and other AI workloads, targeting maximum throughput and minimum latency.
• Apply state-of-the-art optimization techniques: quantization (INT4/INT8/FP8), model pruning, speculative decoding, continuous batching, and kernel fusion.
• Optimize inference-serving stacks, including vLLM, TensorRT-LLM, ONNX Runtime, and similar frameworks, for production deployment on CIQ’s OS platform.
• Profile and tune GPU/accelerator utilization across the full inference stack, from model weights and memory bandwidth to CUDA kernels and driver overhead.
• Establish inference performance baselines and regression detection across CIQ’s AI-focused solutions.

AI Training Workflows

• Design and optimize distributed training pipelines for large-scale models, including data, model, tensor, and pipeline parallelism strategies.
• Tune training efficiency through mixed-precision training, gradient checkpointing, activation recomputation, and optimizer-level improvements.
• Benchmark training throughput and scaling efficiency across multi-GPU and multi-node configurations on CIQ’s infrastructure.
• Collaborate with infrastructure and performance teams to resolve training bottlenecks at the network (RDMA/InfiniBand), storage, and OS layers.
• Stay current on frontier model architectures and training techniques, including MoE models, RLHF pipelines, and emerging post-training methods.

Turn-Key AI Examples & Reference Workloads

• Build and maintain a library of turn-key AI workload examples that run on CIQ’s platform, covering inference serving, fine-tuning, batch processing, RAG pipelines, and agentic workflows.
• Develop both internal reference pipelines for CI/testing and customer-facing examples designed for immediate productivity on CIQ’s OS and Fuzzball.
• Package workloads using containers to deliver portable, reproducible AI environments across HPC and cloud-native settings.
• Create compelling, well-documented demos and reference architectures that communicate CIQ’s AI capabilities to technical and business audiences alike.
• Partner with product and customer success teams to translate real-world AI use cases into reusable, production-quality examples.

AI Engineering & Tooling

• Build and maintain AI-powered engineering tooling - leveraging LLM-based agents, automated analysis pipelines, and AI-assisted code generation to accelerate the broader engineering organization.
• Champion an AI-first development culture: identify opportunities where AI tooling can reduce toil, surface insights faster, and improve software quality across CIQ’s products.
• Evaluate and integrate emerging AI frameworks, libraries, and hardware as they become relevant to CIQ’s customers and product roadmap.
• Contribute to open-source AI tooling and frameworks where relevant, reinforcing CIQ’s technical reputation in the community.

Fuzzball Integration

• Develop deep expertise in CIQ’s Fuzzball platform, its architecture, scheduling model, and workload execution environment.
• Integrate AI training, inference, and pipeline workloads into Fuzzball-based CI/CD and production pipelines.
• Contribute to Fuzzball’s AI workload story: ensure the platform is a first-class environment for running AI workloads efficiently and at scale.
• Help characterize and improve Fuzzball’s performance for AI-specific access patterns and resource demands.

Cross-Functional Collaboration

• Develop broad familiarity with the full CIQ product portfolio, including Rocky Linux and RLC (and its variants), Fuzzball, Apptainer, and Warewulf, and understand how AI workloads interact with each layer.
• Collaborate closely with the Performance Engineering team to ensure AI workloads benefit from and contribute to CIQ’s systems-level optimization work.
• Partner with product and customer success teams to translate real-world AI pain points into engineering priorities and measurable outcomes.
• Document and communicate findings clearly, from low-level profiling data to executive-level summaries.
• Contribute to technical publications, conference presentations, and thought leadership that reinforces CIQ’s reputation as an AI-forward infrastructure company.

NEEDED TO SUCCEED

Successful candidates will have: 

• Deep, hands-on expertise in LLM inference optimization: including serving frameworks (vLLM, TensorRT-LLM, ONNX Runtime), quantization techniques, and GPU memory management.
• Strong background in distributed AI training, including frameworks such as PyTorch FSDP, DeepSpeed, Megatron-LM, or JAX/XLA.
• Proven experience building production AI pipelines and packaging AI environments for reproducible, portable deployment (containers, Apptainer/Singularity, or equivalent).
• Fluency with GPU/accelerator profiling tools: NVIDIA Nsight, PyTorch Profiler, CUDA performance analysis, and related tooling.
• Familiarity with HPC environments: job schedulers (Slurm, PBS), parallel filesystems, RDMA/InfiniBand, and MPI,  and the intersection of HPC with modern AI workloads.
• Experience integrating AI workloads into CI/CD pipelines and building automated testing and benchmarking frameworks.
• Comfort using and building with LLM-based tools and agentic frameworks to accelerate engineering work.
• Excellent analytical skills and able to form hypotheses, design experiments, and draw actionable conclusions from complex profiling data.
• Strong written and verbal communication skills; able to present findings to both deeply technical audiences and business stakeholders.
• A collaborative, humble, and always-learning mindset, combined with the confidence to champion AI engineering as a first-class concern.

EDUCATION AND EXPERIENCE

• PhD in Computer Science, Machine Learning, Computer Engineering, or a related field strongly preferred; equivalent industry experience considered.
• 10+ years of industry experience in AI/ML engineering, systems software, or a closely related discipline.
• Demonstrated track record of measurable, published, or production-deployed AI performance improvements at scale.
• Experience working in or with open-source AI ecosystems (PyTorch, Triton, ONNX, Hugging Face, etc.) is a strong plus.
• Background with cloud-native, containerized, and/or HPC computing environments preferred.

CIQ is seeking a highly experienced Senior or Principal Performance Engineer to own and drive system-level and application-level performance across our product portfolio. This is an AI-first role, both in methodology and focus area,  and the right candidate will bring deep expertise in operating system internals, kernel and userspace performance, and the performance demands of modern AI workloads, HPC environments, general-purpose computing, and production service workloads.

In this role, you will be the standard-bearer for performance at CIQ. Our performance-focused solutions must always be the fastest in the industry, and you will be responsible for ensuring that remains true. You will be intimately involved with Fuzzball, CIQ's cloud-native computing platform, learning its architecture end-to-end and integrating workloads - both user-facing and CI/testing pipelines - directly through it.

Position Summary

This role is leveled as Senior or Principal based on qualifications and demonstrated capabilities.

Benchmarking & Profiling

• Design, develop, and maintain comprehensive benchmarking frameworks spanning OS, kernel, and application layers.
• Profile workloads across CPU, memory, I/O, network, and accelerator (GPU/NPU) subsystems to identify bottlenecks and optimization opportunities.
• Establish and own performance baselines across CIQ's product and solutions portfolio.
• Leverage AI-assisted tooling and agentic workflows to accelerate profiling, analysis, and root cause identification.

Regression Detection & Resolution

• Build and maintain automated performance regression-detection pipelines integrated into CI/CD workflows using Fuzzball.
• Identify, triage, and resolve regressions across user space, kernel space, and application layers with urgency and rigor.
• Collaborate across engineering teams to root-cause regressions introduced by upstream kernel changes, compiler updates, or library modifications.

Proactive Performance Engineering

• Drive proactive performance improvements - not just reactive fixes - to keep CIQ solutions ahead of the competition across every layer of the stack.
• Own core operating system performance: kernel subsystem tuning (scheduler, memory management, I/O, networking), system call overhead reduction, and user space library and runtime optimizations.
• Identify and implement kernel-level enhancements, including patches, configuration changes, and upstream contributions that yield measurable performance gains for CIQ's customer workloads.
• Optimize for AI inference and training workloads, including LLM serving, model parallelism, and accelerator utilization.
• Tune performance for HPC workloads, including modeling, simulation, and tightly coupled parallel applications (MPI, OpenMP, etc.).
• Optimize general computing and service workloads - web services, databases, messaging systems, and other production software that runs on CIQ's OS platform.
• Work at all levels of the stack: compiler flags, kernel parameters, scheduler tuning, NUMA topology, memory allocation, and application-level algorithmic improvements.

AI-First Approach

• Champion an AI-first engineering philosophy - use AI tools, agents, and automation to accelerate your own productivity and the quality of performance insights.
• Identify and prioritize optimization opportunities that directly impact AI training throughput and inference latency/cost.
• Stay current on state-of-the-art techniques in ML system performance, including quantization, batching strategies, kernel fusion, and hardware-software co-design.

Fuzzball Integration

• Develop deep expertise in CIQ's Fuzzball platform - its architecture, scheduling, and workload execution model.
• Integrate performance benchmarks, regression tests, and user-facing workloads into Fuzzball-based pipelines.
• Contribute to the performance characterization of Fuzzball itself, ensuring the platform adds minimal overhead and scales efficiently.

Cross-Functional Collaboration

• Develop broad familiarity with the full CIQ product portfolio — including Rocky Linux and RLC (and its variants), Fuzzball, Apptainer (formerly Singularity), and Warewulf - understanding how performance considerations span and interconnect across each.
• Collaborate deeply with the engineering teams behind each product line to surface, prioritize, and deliver performance improvements that benefit customers across the entire CIQ ecosystem.
• Partner with product and customer success teams to translate real-world performance pain points into engineering priorities and measurable outcomes.
• Document and communicate findings clearly - from low-level profiling data to executive-level summaries.
• Contribute to technical publications, conference presentations, and thought leadership that reinforces CIQ's reputation for performance excellence.

NEEDED TO SUCCEED

Successful candidates will have:

• A deep, principled understanding of operating system internals -  Linux kernel scheduler, memory subsystem, I/O stack, and networking.
• Proven experience identifying and resolving performance regressions across kernel and user space in production environments.
• Hands-on expertise with profiling and tracing tools: perf, eBPF/bpftrace, Flamegraphs, VTune, Nsight, strace, ftrace, and similar.
• Strong background in AI/ML workload performance - including inference optimization (TensorRT, ONNX, vLLM, or similar), training efficiency, and GPU/accelerator utilization.
• Experience with HPC workloads: MPI, OpenMP, parallel filesystems, RDMA/InfiniBand, and job schedulers (Slurm, PBS, etc.).
• Familiarity with modern AI-first development workflows and comfort using LLM-based tools to accelerate engineering work.
• Experience building automated performance testing and regression detection pipelines in CI/CD environments.
• Excellent analytical skills -  able to form hypotheses, design experiments, and draw actionable conclusions from complex data.
• Strong written and verbal communication skills; able to present findings to both deeply technical audiences and business stakeholders.
• A collaborative, humble, and always-learning mindset -  combined with the confidence to champion performance as a first-class engineering concern.

EDUCATION AND EXPERIENCE

• PhD in Computer Science, Computer Engineering, or a related field strongly preferred; equivalent industry experience considered.
• 15+ years of industry experience in systems performance engineering, OS development, or a closely related discipline.
• Demonstrated track record of measurable, published, or production-deployed performance improvements at scale.
• Experience working in or with open-source ecosystems (Linux kernel contributions, upstream community engagement) is a strong plus.
• Background with cloud-native, containerized, and/or HPC computing environments preferred.

At WordPress VIP (part of Automattic), we power the most influential properties on the web, from the White House to Meta and Salesforce. We are looking for a Forward Deployed Engineer (FDE) to join our mission in redefining how the world’s largest enterprises scale.

This isn't your typical engineering role; it’s an advanced, consultative position where you operate as a hands-on architect and a growth catalyst. As an FDE, you are the front line of trust, embedded with our most strategic customers to solve high-stakes technical challenges in real-time. By combining engineering excellence with deep customer proximity, you won’t just solve problems for customers, you’ll solve them with them, driving business expansion across the world’s most scaled environments. If you thrive in high-impact, ambiguous environments and want to help define the future of open-source technology at the enterprise level, we want to talk to you.

About the Team

The Customer Engineering and Architecture (CEA) team at WordPress VIP works directly with our most important customers to ensure they achieve their core technical outcomes and expand their investment in WordPress, VIP, and Automattic.

The team’s mission is to drive measurable technical success and long-term growth for VIP’s largest customers through a hands-on, scalable Forward Deployed Engineering practice that combines deep technical partnership with rapid, high-impact solutioning.

Role Overview

As a Forward Deployed Engineer (FDE), you will serve as an embedded technical partner to one or more complex WordPress VIP customers in Media, Enterprise, and Government.

You’ll work at the intersection of engineering, consulting, and customer success—diving deep into customer architectures, identifying and resolving complex technical challenges, and shaping scalable solutions that drive long-term adoption and expansion.

This is not a pure support or implementation role. It’s an advanced, consultative engineering position where you’ll operate as a hands-on architect, a trusted advisor, and a growth catalyst, helping customers succeed with WordPress VIP and related open-source technologies.

What You’ll Do

Deliver Customer Technical Outcomes

• Engage directly with large VIP customers (often embedded in their teams) to ensure successful adoption, integration, and scaling of WordPress VIP solutions.
• Directly identify and solve complex architectural and technical problems.
• Partner with customers as they leverage VIP’s support capabilities, ensuring they fully utilize VIP's high-availability support.
• Conduct technical discovery and design sessions, producing architecture recommendations, migration plans, and implementation guidance.
• Maximize the customer’s value from VIP’s platform, integrations, and partner ecosystem.

Drive Expansion Through Services-Led Growth

• Identify and shape professional services opportunities through ongoing technical engagement. Document and refer engagements to other VIP PS teams.
• Define scopes of work (SOWs) for technical expansion projects, collaborating closely with Services, Account Management, and Commercial teams.
• Participate in presales and renewal discussions as the technical voice of confidence and credibility.

Hold and Share Deep Customer Context

• Maintain a living technical knowledge base of customer architectures, deployments, and patterns.
• Act as the internal authority on assigned customer environments, proactively identifying risks and opportunities.
• Contribute to team-wide tooling and process improvements, including delivery platforms, AI workflows, and documentation systems (e.g., Rocketlane, Notion, or similar).

Contribute to the Forward Deployed Engineering Practice

• Using data, help refine the operating model for FDE engagements, balancing presence, value, and scalability.
• Experiment with and adopt AI-assisted workflows to improve delivery efficiency and insight generation.
• Collaborate with the leadership to expand the practice into a repeatable, revenue-driving function.

Qualifications

Required

• 5+ years of hands-on experience in web or application engineering, minimally in PHP and/or JavaScript.
• Strong familiarity with WordPress at scale, including common architectures, REST APIs, caching/CDNs, performance optimization, integration methods and security hardening.
• Experience working directly with large customers in technical consulting, architecture, or professional services.
• Proven ability to diagnose and resolve complex technical issues in distributed or high-traffic environments.
• Excellent communication and stakeholder management skills: equally comfortable in a debugging session and an executive briefing.
• Commercial mindset: ability to spot opportunities for value expansion and articulate ROI to non-technical stakeholders.

Ideal

• Experience with WordPress VIP, enterprise hosting, or similar SaaS/PaaS platforms.
• Prior experience as a solutions architect, senior developer, or forward deployed engineer in a consulting or SaaS/PaaS context.
• Familiarity with AI-assisted development, observability tools, and modern DevOps practices (CI/CD, GitHub Actions, etc.).
• Domain experience in Government, Media, or Enterprise.

Key Competencies

• Technical Depth & Breadth: Rapidly understand diverse architectures and technologies.
• Customer Empathy: Translate customer needs into actionable technical and business outcomes.
• Problem Ownership: Take responsibility for technical success, even beyond formal scope.
• Commercial Awareness: Balance engineering rigor with business objectives.
• Learning Agility: Continuously adapt to new tools, patterns, and customer contexts.
• Collaboration: Work fluidly with Services, Support, Product, and Commercial teams to deliver holistic outcomes.

Salary range: $180,000-$230,000 USD.  Please note that salary ranges are global, regardless of location, and we pay in local currency.

We are searching for high-caliber candidates with the skills and qualities to have a net positive for Automattic. Pay will reflect the potential contribution and the impact you can bring, which may, in some cases, go beyond the range stated.

This isn’t your typical work-from-home job—we are a fully-remote company with an open vacation policy. Read more about our compensation philosophy. To see a full list of benefits by country, consult our Benefits Page. And check out these links to learn more about How We Hire and What We Expect from Ourselves. #LI-DNI

At WooCommerce, we're on a mission to democratize commerce through open source. As such, we’re now seeking an experienced Sales & Solutions Engineer to build our technical sales motion from the ground up — architecting merchant solutions that leverage the WordPress/WooCommerce ecosystem, strategic partner integrations, optimal hosting, and Automattic’s product portfolio.

You’ll work with technically-savvy midmarket merchants ($1M-$50M GMV) evaluating WooCommerce in competitive situations, architecting solutions that combine: WordPress/WooCommerce core + rich plugin ecosystem, Automattic products (WooPayments, Pressable/WPVIP/WP.com, Jetpack, Blaze), strategic partner integrations (payments, shipping, tax, marketing, POS, CRM/ERP), and agency partner services for custom development and implementation.

This is WooCommerce's Competitive Tip of the Spear.: The only team with the remit to directly and forcefully compete with our largest competitors in eCommerce. This team is the crucible for our messaging, value proposition, and technology at scale.

This is a builder role. If you thrive in 0→1 environments and urgency is in your blood, this is your role. You’ll set the playbook that defines how we sell for the next 18-24 months. Your on-the-ground feedback about what merchants need, what's blocking deals, and ecosystem gaps will directly shape our product roadmap, GTM strategy, time-to-first-value, and how we set up customers for retention and expansion.

What You’ll Do

Architect Solutions & Close (75%):

• Carry quota for net-new Midmarket merchants ($1M-$50M GMV), working primarily inbound, event, and partner-generated leads in competitive evaluations.
• Lead discovery and provide immediate value: Solve merchant problems from first conversation: answer technical questions, recommend plugins, troubleshoot architecture, suggest integrations. This consultative approach builds trust and accelerates closes.
• Architect comprehensive solutions blending WooCommerce core and plugins, WordPress plugins, strategic partner solutions (payments/shipping/tax/marketing/POS/ERP), hosting, Automattic products, and agency services.
• Navigate the open source ecosystem: Know which plugins/partners solve which problems, understand integration patterns, and advise when to build vs. buy vs. partner.
• Deliver demos that win: Customize to merchant use cases, adapt on the fly, make complexity simple. Build demo environments that showcase exactly what they need.
• Build compelling business cases: Show TCO across the platform, extensions, hosting, payments, and partners versus closed platforms.
• Position strategic partners (ShipStation, Avalara, Klaviyo, etc.) and coordinate bringing SMEs into deals.
• Own the close: Navigate procurement, address objections, deliver mutual action plans to signed contracts.

Build Culture, Playbooks & Enable (25%):

• Set the standard: Your solution patterns, integration blueprints, partner positioning, and qualification criteria become the playbook for scale.
• Be the voice of the market: Your frontline feedback influences product roadmap (which integrations to prioritize, where WooCommerce must evolve, missing pieces, etc.), customer lifecycle (onboarding patterns, retention risks, expansion signals for CS), and GTM strategy (pricing, packaging, positioning, competitive intelligence).
• Coordinate cross-BU: Work with Product on gaps/risks, Payment/Strategic Partnerships on co-selling, A4A Agency Partnerships on scalable enablement.
• Create repeatable assets: Solution templates, partner positioning guides, TCO calculators, competitive battle cards, discovery frameworks.
• Document what works: Deal patterns, merchant segmentation, when to engage partners, qualification frameworks.
• Enable internally: Train CS, Marketing, and Partnerships on solutions, ecosystem, and merchant needs.

What Success Looks Like:

• 90 days: First deals closed, key product gaps identified, feedback loops established.
• 6 months: Hitting quota, competitive playbook built, product roadmap influenced.
• 12 months: Team quota exceeded, playbooks adopted by new hires, foundation set for scale.

You Might Be a Fit If

Builder Mentality + Team-First:

• Bring urgency and competitive fire: we're under pressure and moving fast.
• Culture-setter: comfortable being “first", building playbooks, setting standards.
• Lift others up, lift all boats.
• Be pragmatic in ambiguity: we need to build without having perfect processes or systems.
• Speak truth to power with supporting data and bring proposed solutions.
• AI is a strength — with real examples from your current role.
• See teaching and knowledge transfer as core to the job.

Open Source Ecosystem Expertise:

• Deep WordPress/WooCommerce knowledge: extensions, plugins, themes, integration patterns, scalability, caching.
• Hands-on building experience: written custom functionality, integrated services, debugged conflicts, built prototypes.
• Partner landscape fluency: payment processors, shipping, tax, marketing automation, POS, inventory, ERP/CRM.
• Integration architecture: blend plugins, partner APIs, custom dev, and hosted services into coherent solutions.
• Open source philosophy: why merchants choose open platforms, economics of extensibility, flexibility vs. ease trade-offs.

Technical Foundation:

• 5-7+ years Solutions/Sales Engineering or technical sales with quota-carrying experience in Ecommerce/CMS/OSS/SaaS/platforms.
• Hands-on WordPress/WooCommerce development: you’ve built plugins, written hooks/filters, debugged integrations, and prototyped solutions.
• PHP fluency: read, write, debug—jump into code to solve problems or build quick POCs.
• Ecommerce platform expertise: merchant operations, checkout, payments, order management, inventory, fulfillment.
• Technical architecture: REST APIs, webhooks, SSO, caching/CDN, payments (auths, chargebacks, settlement), hosting, data/privacy.
• Integration debugging: trace issues across plugins, themes, APIs.

Commercial + Demo Excellence:

• Proven deal closer: you've owned a number and delivered.
• Solutions selling: ROI/TCO models, multi-threading, close through procurement/legal/security.
• Cross-product orchestration and complex buying processes.
• Creative demos: craft experiences that shift decisions, not just click through features.
• Competitive mastery: set landmines, surface requirements favoring open source, expose lock-in and hidden costs.
• Value selling: build cases showing why WooCommerce wins long-term—TCO, data ownership, flexibility.
• Strong storytelling: translate technical architecture into business narrative.
• Quick prototyping: spin up working examples to prove “can it do X?”.
• Showmanship without BS: build excitement but never overpromise.
• Communication across audiences: whiteboard with CTOs, present to CFOs, enable partners, train teams.

Preferred:

• Experience selling ecommerce platforms, open source CMS, payments/fintech, marketplaces.
• Understanding AI-driven commerce (autonomous agents, personalization APIs).
• Familiarity with compliance (PCI, SOC 2, SCA/PSD2, multi-region tax).
• PLG + SLG coexistence background, early-stage build-outs.
• Sales methodology training (MEDDPICC, Command of the Message, Challenger).
• OSS agency/SI partner ecosystem experience.

We are currently prioritizing candidates in the United States, Canada, the UK, and Ireland.

Salary range: $160,000-$185,000 USD plus variable compensation.  Please note that salary ranges are global, regardless of location, and we pay in local currency.

We are searching for high-caliber candidates with the skills and qualities to have a net positive for Automattic. Pay will reflect the potential contribution and the impact you can bring, which may, in some cases, go beyond the range stated.

This isn’t your typical work-from-home job—we are a fully-remote company with an open vacation policy. Read more about our compensation philosophy. To see a full list of benefits by country, consult our Benefits Page. And check out these links to learn more about How We Hire and What We Expect from Ourselves. #LI-DNI

What you will do: 

HYPR, the Identity Assurance Company, helps organizations create trust in the identity lifecycle.  We are a community of bold thinkers and energetic doers who imagined a brand new approach to identity security and, at the same time, are eliminating a pervasive and persistent 60-year old problem – the password. Since being founded in 2014, the company has grown to be the premium provider of authentication security to marquee brands around the globe and are quickly becoming the recognized leader in Identity Assurance. We are looking for exceptional people with the ambition and the will to positively change the world. If that sounds like you, join us on our mission to create a passwordless world and secure the identity lifecycle.

Your Role and Impact 

HYPR is looking for a Senior Software Engineer who cares deeply about building secure, high-quality software—and wants to work on problems that actually matter.

We are a great home for people who are intrinsically motivated—proud of their craft and excited to build with a high-bar team that expects great work and supports you.

You’ll design, build, and operate core components of HYPR’s security platform, used by Fortune 500 companies:

• Passwordless authentication and identity verification systems built on open standards
• W3C-compliant authentication servers and large-scale distributed systems
• Security-focused infrastructure and application workflows
• Emerging capabilities at the intersection of cybersecurity and AI

“If you're passionate about cyber security, scalable architectures, and impactful engineering, HYPR will be a great fit for you.”

What you will do in this role

• Design, develop and deploy SaaS services end-to-end—from understanding requirements and designing solutions to deployment, production support, scalability and performance
• Be on the fore front of AI-native SDLC by using agents throughout design, coding, testing, and documentation
• Research new technologies and solutions to improve existing products and explore new directions
• Implement comprehensive automated testing at the component level and collaborate with SDET(s)
• Participate in standards bodies and shape next-generation standards like W3C, WebAuthn, and OAuth
• Work directly with customers - product calls to understand the problems and an on-call rotation of incident escalation

Who you are

• Self-starter—able to dive into an existing product and learn quickly in a fast, hands-on environment
• Team player—collaboration with team members, operations, and support teams is critical
• Detail-oriented—takes pride in writing high-quality, maintainable code and following best practices
• Security-minded—interested in the cybersecurity domain; previous exposure or participation is a plus
• Autonomous and accountable—takes ownership of work and drives it to completion; actively assists in the production support aspects of your work as needed

Required Qualifications

Expert-Level

• Java SE 21+ and Spring/Quarkus
• Kubernetes or another container orchestration platform
• Cloud-first development experience—AWS, Azure, or similar
• Datastores, one or more of: MySQL, Oracle, DynamoDB, Redshift, Redis

Strong

• CS algorithms, data structures, clean code, and scalability design patterns
• Scalable services—multi-region, graceful degradation, and elastic capacity
• One major JS framework—Angular, React, or Vue
• Observability techniques and tools—events, metrics, OpenTelemetry
• Continuous deployment methodologies—unit, acceptance, and load testing approaches
• Kotlin development experience

Preferred

• Authentication protocol knowledge is highly valued—OAuth, SAML, WebAuthn, PKI, Kerberos, FIDO/FIDO2
• Keycloak, Ping or Okta authentication server
• One Infrastructure as Code (IaC) tool—Terraform, Helm, AWS CloudFormation
• Dynamically typed language—Python, Ruby, or similar

Experience

10+ years of experience designing, building, and maintaining an enterprise web-based platform that services at least 100K users. Can be SaaS or on-premise

Education

BS/MS in computer science or a related software engineering field.

What HYPR Offers

• Long-Term stability within a high-growth sector within identity access automation.
• Majority of HYPR engineers are Senior; you’re joining a team of all-stars who consistently deliver the highest quality code and products on tight timelines.
• Strong support for work–life balance, with flexibility to meet family and personal responsibilities. We offer a generous amount of PTO and wellness days.
• Emphasis on collaboration, with paid weekly team lunches in office (some variations by country).
• Employer-paid supplemental medical coverage (some variations by country).
• Paid access to leading industry conferences and opportunities to participate in standards bodies, including FIDO and OAUTH.
• Extreme product focus with high levels of ownership and autonomy—you’ll work on cutting-edge, high-impact problems, bringing together your own insights to drive meaningful outcomes

Full Time Opportunity: Yes

Remote: Yes

As the premium provider of authentication security, HYPR is committed to preventing identity fraud by safely and accurately verifying the identities of our employees. Accordingly, all new employees are required to participate in an automated identity verification process, which includes document verification, location detection, and facial recognition, on their first day of employment with the Company.  To learn more about this identity verification process,  please contact peopleops@hypr.com.

What You'll Be Doing:

• Work directly on building, deploying, and iterating on machine learning models and agentic workflow features that address real customer needs
• Apply ML techniques to improve accuracy and overall system performance, ensuring solutions are robust, reliable, and production-ready for customers
• Improve, implement, and validate ML models and agentic workflows supporting submission intake, underwriting decision-making, and automation tasks
• Deploy and adapt autonomous agent behaviors into customer-specific workflows, translating core AI capabilities into practical solutions
• Develop and maintain evaluation pipelines, monitoring systems, and performance metrics to ensure reliability under evolving production conditions
• Monitor production systems via logs, metrics, and user feedback to diagnose issues, debug failures, and drive resolution
• Take end-to-end ownership of problems — implementing fixes or coordinating with engineering and infrastructure teams as needed
• Partner closely with Data Science and Engineering teams to iterate quickly and deliver high-impact solutions

Who We Hope You Are:

• Bachelor's or master’s degree in Mathematics, Operations Research, Data Science, Artificial Intelligence, or a related field with foundational knowledge in machine learning, deep learning, and natural language processing.
• Experience working in a fast-paced, cross-functional environment
• 2+ years of experience as a Machine Learning Engineer, Applied Scientist, or similar role delivering ML solutions in production
• Experience working directly with customers or stakeholders to translate business needs into technical solutions
• Hands-on experience adapting, extending, and deploying ML/LLM systems (including agentic workflows and prompt engineering) in real-world use cases
• Strong experience with experimentation, evaluation, and monitoring pipelines, including analyzing production logs and debugging systems
• Experience deploying and iterating on ML systems in cloud environments in collaboration with engineering teams
• Proven track record of ownership — driving issues through to resolution in production systems

Base Salary Range: $155,000 - $180,000
Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above. Total compensation package also includes bonus, stock options, benefits and additional perks. 

Hours & location

🌎 We hire almost anywhere in the world and we don’t have a location requirement for this role. However, the expected working hours for this position is 9:00am - 5:00pm EST.

Why this job is exciting 

As part of the Technical Success organization, Support Engineering  is at the forefront of the customer experience. Our customers simply wouldn’t be successful, happy, long term customers without the important work this team does! Support Engineering exists to not only resolve technical issues but educate our customers by answering reactive questions, and by importantly identifying improvements we can make to help improve the product. Our customers are developers and we help them throughout their customer journey. 

📅 Within one month you will…

• Learn about our product, our value propositions, our customers, our team, and our practices.
• Learn how Sourcegraph is deployed (e.g., Kubernetes, scaling, and more), product configuration and integrations, our code base, and common user needs.
• Meet for an initial chat with the teammates you will work with most
• Start working with customers to troubleshoot and solve reported issues (with lots of support and help from your team).

📅 Within three months you will…

• Work with customers to troubleshoot and solve reported issues
• Contribute to improving our product and handbook documentation

📅 Within six months you will…

• Observe trends causing issues for our customers and suggest remedies (for example, what consistent things happen that we can write tooling for...)
• Suggest (and take responsibility for) improvements for team onboarding and ongoing enablement, improving the customer experience, and/or improving the product

About you

You are curious and compassionate. You are a problem solver - you love the moment where you “figure it out”. You enjoy trying new technologies, breaking them and helping fix them. You want to be part of a technical organization while talking with customers.

• Profound curiosity to figure out why something works the way it does / to learn more
• Working experience with Unix/Linux and/or Bash
• Working experience with Kubernetes containerized solutions
• Working experience with code hosts such as GitHub, GitLab and BitBucket
• Strong understanding of databases, especially SQL 
• Compassion to meet our customers (who are all developers themselves) where they are, understand their issues, and be compelled to action
• Experience collaborating with cross-functional teams to solve difficult problems for customers
• Proficiency in communicating complex technical ideas and decisions to a variety of audiences (both technical and non-technical)
• Some experience using Large Language Models (LLMs) and AI tooling,  and how they work
• 2+ years experience in a similar role

Nice to have:

• Foundational knowledge of APIs and/or Git
• Foundational knowledge of cloud computing with AWS, GCP or Azure DevOps
• Experience writing code in Go or another language
• Basic knowledge of or experience with Perforce
• Basic understanding of AI tools and how developers use them

Level

📊 This job is an IC2. You can read more about our job leveling philosophy in our Handbook.

Compensation

💸 We pay you an above-average salary because we want to hire the best people who are fully focused on helping Sourcegraph succeed, not worried about paying bills. You will have the flexibility to work and live anywhere in the world (unless specified otherwise in the job description), and we’ll never take your location or current/past salary information into account when determining your compensation.  As an open and transparent company that values equitable and competitive compensation for everyone, our compensation ranges are visible to every single Sourcegraph Teammate. To determine your salary, we use a number of market and data-driven salary sources and target the high-end of the range, ensuring that we’re always paying above market regardless of where you live in the world.  

💰 The compensation for this role is $84,800 USD base.

📈 In addition to our cash compensation, we offer equity (because when we succeed as a company, we want you to succeed, too) and generous perks & benefits.

Interview process

👋 Introduction Stage - we have initial conversations to get to know you better…

• [30 min] Recruiter Screen 
• [45 min] Hiring Manager screen / Resume Deep Dive

🧑‍💻 Team Interview Stage - we then delve into your experience in more depth and introduce you to members of the team…

• [Async 1.5 hr] You complete a technical project and we share the results over email.
• [60 min] Technical knowledge/troubleshooting + collaboration/communication skills with an existing member of our Support Engineering team.  

🎉 Final Interview Stage - we move you to our final round, where you meet cross-functional partners and gain a better understanding of our business and values holistically…

• [30 min] Values interview
• [15 min] Leadership 
• We check references and conduct your background check

Please note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process.

This is a future opportunity that may not be immediately available, but we're proactively building our pipeline of exceptional talent. At GitLab, we believe in connecting with outstanding professionals before we have an urgent need, allowing us to move quickly when the right moment arises. If you are excited about co-creating the future as we're building the most comprehensive AI-powered DevSecOps platform, we want to hear from you. We'll keep your information on file and reach out when a position becomes available that matches your skills and interests.

#LI-DNI

This is a future opportunity that may not be immediately available, but we're proactively building our pipeline of exceptional talent. At GitLab, we believe in connecting with outstanding professionals before we have an urgent need, allowing us to move quickly when the right moment arises. If you are excited about co-creating the future as we're building the most comprehensive AI-powered DevSecOps platform, we want to hear from you. We'll keep your information on file and reach out when a position becomes available that matches your skills and interests.

#LI-DNI

This is a future opportunity that may not be immediately available, but we're proactively building our pipeline of exceptional talent. At GitLab, we believe in connecting with outstanding professionals before we have an urgent need, allowing us to move quickly when the right moment arises. If you are excited about co-creating the future as we're building the most comprehensive AI-powered DevSecOps platform, we want to hear from you. We'll keep your information on file and reach out when a position becomes available that matches your skills and interests.

#LI-DNI

An overview of this role

As a Customer Success Engineer, you'll help customers get real, measurable value from GitLab after the sale by providing technical product expertise and best practice guidance. You'll be part of the customer success engineer team that delivers GitLab's On-Demand Success Tier through webinars, hands-on labs, office hours, and on-demand engagements.

This is a pooled model, so you won't be dedicated to a specific set of accounts. You'll collaborate closely with Customer Success Managers, Account Executives, and Renewals Managers to support implementation, architecture, and use case adoption across GitLab's key workflows, including source code management, continuous integration and delivery, DevSecOps, and Agile Planning. You'll report to the Customer Success Engineer Team Manager, and your first-year outcomes will focus on building trusted advisor relationships, enabling successful customer implementations, and creating reusable workshops and technical content that helps customers adopt GitLab at scale.

What you'll do

• Engage with customers via Zoom calls and email as a technical consultant during the post-sales journey, providing product, solution, and best-practice guidance.
• Partner with Customer Success Managers to go deep on GitLab use case implementation (for example: source code management, continuous integration, continuous delivery, DevSecOps, and Agile Planning).
• Deliver practical, customer-specific enablement through webinars, hands-on labs, office hours, and on-demand engagements in a pooled support model (not dedicated to a single account)
• Provide technical and architectural guidance that helps customers adopt GitLab capabilities and connect technical decisions to the outcomes they care about.
• Align with Account Executives and Renewals Managers to share customer-facing subject matter expertise that supports customer business objectives
• Develop and deliver workshops, demos, and other reusable enablement content in collaboration with cross-functional partners.
• Build and maintain specialty competency in one or more technologies aligned to GitLab's market focus through training, certification, and creating working examples for internal and customer use.
• Contribute to customer-facing learning resources, including GitLab documentation, YouTube content, and enablement programs such as the Digital Journey.

What you'll bring

• Experience supporting one or more GitLab use cases (source code management, continuous integration, continuous delivery, DevSecOps, or Agile Planning) and enabling customers with practical, in-depth guidance.
• Proficiency with DevSecOps tools or adjacent highly technical tooling, with the ability to translate tool capabilities into customer outcomes.
• Technical background in software development or systems engineering, including comfort discussing architecture, workflows, and implementation tradeoffs.
• Ability to communicate complex technical and organizational topics clearly in writing and live settings (Zoom calls, workshops, and presentations).
• Experience operating as a trusted technical advisor to customer and business stakeholders in a post-sales environment.
• Strong time management and prioritization skills, including the ability to juggle multiple customer engagements and cross-functional requests in a pooled model.
• Continuous learning mindset, including maintaining specialty competency through training, certification, documentation, or creation of reusable examples; we welcome transferable experience from related roles and backgrounds.

About the team

We're a globally distributed customer success engineer (CSE) team supporting customers in GitLab's On-Demand Success Tier. We collaborate asynchronously and stay aligned through clear documentation and shared enablement assets. We continuously improve our content and delivery based on what we learn from customer engagements.

This is a future opportunity that may not be immediately available, but we're proactively building our pipeline of exceptional talent. At GitLab, we believe in connecting with outstanding professionals before we have an urgent need, allowing us to move quickly when the right moment arises. If you are excited about co-creating the future as we're building the most comprehensive AI-powered DevSecOps platform, we want to hear from you. We'll keep your information on file and reach out when a position becomes available that matches your skills and interests.

#LI-DNI

An overview of this role

As a Staff Forward Deployed Engineer at GitLab, you will work at the intersection of customer outcomes, product direction, and hands-on engineering. This role is focused on strategic accounts, where you will help customers adopt GitLab and the GitLab Duo Agent Platform in complex enterprise environments, including self-managed, regulated, and constrained deployments. You will guide deep technical discovery, design practical adoption paths, and build reusable solutions that help customers move from early platform use into broader CI/CD, security, compliance, and AI-enabled workflows.

This is not a traditional consulting role centered on one-off delivery. Instead, you will use customer issues to create durable technical assets, shape architecture patterns, and influence upstream product and engineering decisions when field needs point to a broader solution. Your work will help reduce time to value for strategic customers while improving how GitLab scales adoption across similar environments.

Some examples of our projects:

• Building a regulated-environment deployment accelerator for GitLab Duo Agent Platform in self-managed or constrained environments
• Authoring reusable reference architectures for AI Gateway, identity, runners, network boundaries, model connectivity, and governance controls
• Identifying a geo-replication gap in a self-managed deployment, tracing it to a root cause in Gitaly or the git backend, and contributing a targeted code or design change upstream

What you'll do

Conduct deep technical discovery in selected strategic accounts to assess platform readiness, evaluate constraints, and identify high-value adoption opportunities across GitLab and GitLab Duo Agent Platform. Lead architecture and delivery design for complex enterprise environments where platform migration, regulated requirements, and product boundaries intersect. Partner with customer stakeholders and GitLab account teams to prioritize use cases based on business impact, technical feasibility, repeatability, and long-term platform value. Design and build bounded proofs, prototypes, deployment patterns, and reusable accelerators across source code management, CI/CD, security, compliance, and AI-enabled workflows. Architect self-managed and enterprise deployments, including runners, access controls, network boundaries, observability, AI Gateway, model connectivity, and governance controls. Turn recurring field patterns into reusable assets such as runbooks, templates, design notes, technical guidance, product briefs, and reference architectures that can be used across accounts. Contribute code, technical designs, or architecture changes when strategically necessary, in partnership with product and engineering, to address blockers that should be solved upstream. Travel as needed for strategic customer engagements, architecture workshops, and team coordination, with expected travel up to 50%.

What you'll bring

Experience in software engineering, platform architecture, forward deployed engineering, technical consulting, or similar customer-facing engineering roles. Strong software engineering fundamentals, including the ability to read, reason about, and contribute to production systems, ideally with experience in Ruby on Rails and/or Go. Strong systems design and software architecture skills, with experience evaluating APIs, asynchronous workflows, CI/CD systems, security boundaries, scalability, and operational tradeoffs. Hands-on experience with GitLab CI/CD, pipeline design, YAML, runners, and GitLab APIs. Experience with infrastructure as code and enterprise deployment tooling such as Terraform, Ansible, Helm, or similar approaches. Working knowledge of large language models, agentic patterns, tool orchestration, and the practical limits of AI systems in production environments. A track record of creating reusable technical assets that outlive a single engagement, along with strong written and verbal communication skills for technical design and architecture guidance. Comfort leading conversations with senior stakeholders across security, compliance, engineering, platform, and business teams, especially in ambiguous enterprise environments.

About the team

The Staff Forward Deployed Engineer works closely with teams across Customer Success, Solutions Architecture, product, and engineering to solve hard adoption problems in enterprise customer environments. We focus on high-leverage technical work for strategic customers, especially when standard approaches do not fully fit the environment or the adoption challenge.

We are especially valuable in situations where self-managed deployment models, security and compliance requirements, migration complexity, or AI platform adoption create barriers that standard approaches do not fully address. Success on our team comes from strong technical judgment, a bias for reuse, and the ability to balance immediate customer needs with long-term platform impact.

About Brightfield

At Brightfield, we are revolutionizing the way organizations manage their workforce. As a pioneer in workforce analytics, our AI-powered platform, TDX (Talent Data Exchange), helps the world’s largest companies make smarter decisions about how they design, source, and manage their extended workforce.

With over $573B in real-world workforce spend data from 139 countries, we provide the insights our customers need to reduce costs, manage risk, and unlock new levels of agility and performance. Since 2006, we’ve been trusted by the Global 2000 to guide strategic workforce decisions with clarity and confidence.

We are a fully remote team of data-driven innovators, problem solvers, and industry experts who value flexibility, ownership, and continuous learning. At Brightfield, how we work together matters—and we’re building a company where curious, driven people can do their best work.

About the Role

Brightfield is seeking a Senior Data Integration Engineer to play a critical role in designing, building, and scaling the data pipelines and integrations that power TDX. This role is focused on integrating TDX with the customer’s data, workflows and processes.

You will lead the data integration and implementation of TDX API, data pipelines and integrations across internal systems, customer data sources, and third‑party platforms. This is a hands-on, senior-level role for an engineer who thrives in complex data environments, brings strong architectural judgment, and takes pride in building reliable and scalable data solutions. You will partner closely with Product, Data & Analytics, and Engineering to support Brightfield’s customers.

What You’ll Do

• Develop and manage integrations between internal systems, customer environments, SaaS platforms, and data warehouses using APIs and workflow orchestration tools.
• Analyze customer’s workflows and data sources to integrate, ingest and unify customer’s data and onboard to TDX platform.
• Implement TDX APIs with customer and partner solutions.
• Support Brightfield’s existing taxonomy and data processes, models, mappings, and transformation logic to support consistent, high-quality data output across the Brightfield platform.
• Optimize data pipelines for performance, scalability, resiliency, monitoring, and data quality.
• Ensure data integrity, security, and compliance by implementing validation, access controls, and governance best practices.
• Collaborate cross-functionally with Product, Data Science, Analytics, and Customer-facing teams to translate customer’s business and product requirements into technical solutions.
• Contribute to continuous improvement of Brightfield’s data analysis, infrastructure, tooling, and best practices.

What You Bring

• 5+ years of experience in data engineering, data integration, or backend software engineering, with a strong focus on building production data pipelines.
• Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience.
• Expert-level proficiency in Python and SQL, with deep experience transforming and working with large, complex datasets (structured and unstructured).
• Hands-on experience implementing customer workflows through REST APIs, including working with JSON data formats.
• Strong experience working with AWS and other cloud platforms and modern data warehouses (e.g., Snowflake).
• Solid understanding of data modeling, ETL/ELT best practices, and data quality management.
• Proven ability to troubleshoot complex data and integration issues across distributed systems.
• Comfort working in a remote-first, highly collaborative environment with distributed teams.
• Experience integrating enterprise or customer data at scale, particularly in analytics, SaaS, or data platform environments.
• Familiarity with event-driven architectures, message queues, or streaming technologies.
• Experience supporting AI, analytics, or machine learning workflows through reliable data pipelines.
• Knowledgeable in using AI to build and deploy data solutions.
• Prior experience mentoring or leading technical initiatives across teams.

Founding CTO at Redbolt.ai 

Redbolt AI is the security and reliability layer for in-production AI systems. It’s the commercial open core evolution of NVIDIA's open source red-teaming framework, garak, and NeMo Guardrails. Redbolt builds on trusted open source technology and adds the security layer that empowers users to deploy AI at scale.

We're looking for a Founding CTO to build Redbolt into an era-defining AI technology. As the founding CTO, you’ll define initial product vision, build commercial features and an engineering team to accelerate product velocity, get closer to customers, and deepen open-source contributions to NVIDIA's Garak. 

The opportunity

The market for AI security is early but moving fast. The risks of unguarded AI systems are well-known but the infrastructure to protect against these risks don’t really exist yet.

Redbolt starts with a meaningful foundation: NVIDIA's open-source tools already have community traction and credibility. Your job is to turn that into a product and company that enterprises depend on.

If you've been looking for the right moment to build something that matters, this is it.

The role

As the technical founder, you will: 

• Defining the vision. What should this company become? What's the product roadmap that turns open-source adoption into a billion-dollar enterprise business? You'll own that strategy.
• Building the foundation. You're writing code, shipping product, and making architectural decisions that will compound for years.
• Hiring the team. You'll recruit and lead the engineers who build Redbolt alongside you.
• Partner with a CEO. Once there's traction, OCV will lead a search for a co-founder CEO to partner with you - someone to own go-to-market, fundraising, and business operations while you own product and engineering. You'll be deeply involved in selecting that person.

About you 

You're a deep technical expert in LLM security, ML engineering, or adjacent infrastructure. You understand how these systems fail and how to prevent them.

You've operated at a high level technically: staff/principal engineer, engineering lead, or founded something yourself.

You're entrepreneurial. You've been waiting for the right opportunity to build something from the ground up, with real support and resources behind you.

You have conviction about the AI security space. You've thought about what needs to exist and have opinions about how to build it.

About Open Core Ventures

"As software has eaten the world, open source is eating software." — Peter Levine

Commercial open source software companies have captured hundreds of billions in enterprise value—yet this represents only a fraction of the trillions delivered by OSS today. We're still in the early innings.

GitLab co-founder and executive chair Sid Sijbrandij started Open Core Ventures (OCV) to accelerate this opportunity. We start companies around promising open source projects—the same approach that took GitLab from OSS project to IPO in seven years.

We recruit founders and help them reach escape velocity. We’ve started 30+ companies around open source projects, including Fleet, FlowFuse, and Mermaid Chart. 

You can read more about our approach in our public handbook.

🚀 Hermes Web: Call for Founding Engineer

Hermes Web is looking for a founding engineer to build the first polished, hosted personal AI agent product.

Some facts about us:

• Incubated by Open Core Ventures, the studio founded by Sid Sijbrandij (ex-CEO of GitLab)
• Building the hosted, non-technical-user version of Hermes Agent — the fastest-growing open-source agent framework after OpenClaw
• OCV underwrites infrastructure and LLM costs, so you optimize for growth and polish, not unit economics
• Fully remote, product-focused, compressed sprint cadence

If you want to own product and engineering end-to-end, ship consumer-grade polish in a space that's still raw, and help define what a mainstream AI agent product looks like, this is for you.

Project described below.

Requirements

• High agency, ship fast without hand-holding
• Strong Python skills — FastAPI or similar production web framework experience required
• Strong frontend skills (React, Next.js, TypeScript) for the chat, memory, and activity surfaces
• Experience with auth, billing, and multi-tenancy in production products
• Container orchestration experience (Kubernetes, Nomad, ECS, or equivalent)
• Experience with AI-native tools (Cursor, Claude Code, model APIs)
• Knowledge of agents, LLM gateways, rate limiting, and abuse prevention
• Comfortable working across frontend, backend, infrastructure, and AI workflows

The kind of person we want: someone who has shipped a consumer or prosumer product they're still proud of, and who responds to an aggressive timeline with "tight but doable if we cut X, Y, Z" rather than "let me spec it first."

Bonus skills:

• Experience with agent frameworks (Hermes, OpenClaw, LangGraph)
• LLM gateway or proxy work
• Stripe subscription billing at scale
• Production experience hardening agentically-generated code
• OSS contributions
• Consumer AI product experience (Cowork, Cursor, or similar)

Project: Hosted Hermes Agent Platform

1. Introduction

We are building a multi-tenant hosted platform that gives anyone their own personal Hermes agent running in the cloud in under 60 seconds. No terminal, no API keys, no configuration. The agent persists, remembers them, and gets better over time.

This project includes:

• Per-user Hermes containers with network and storage isolation
• A warm pool provisioning system for instant signup-to-first-message
• A production-hardened chat, memory, and activity interface
• An LLM gateway that meters usage, enforces caps, and prevents abuse
• Bundled Claude Sonnet access — users never see an API key or model selector
• Stripe billing infrastructure and self-serve subscription flows

2. Requirements

Platform and provisioning

• Per-tenant container orchestration via Kubernetes or Nomad
• Warm pool pattern for sub-90-second provisioning
• Idle sleep and fast wake (under 2 seconds on incoming message)
• Persistent per-tenant memory and conversation storage
• Auth via Clerk or Auth0 (email + Google OAuth, email verification required)

Frontend

• React, Next.js, TypeScript, Tailwind, shadcn
• Multi-tenant chat, memory, and activity surfaces
• Graceful handling of connection loss, agent timeouts, container restarts
• Streaming responses, conversation history, new-thread flows

LLM gateway

• Proxy every Anthropic API call from every tenant container
• Hold Anthropic API keys server-side; tenant containers never see them
• Per-tenant metering with second-by-second granularity
• Hard daily and monthly cost caps
• Circuit breakers for runaway loops
• Ops kill switch for any tenant

Billing and ops

• Stripe subscription integration at $20/mo
• Self-serve upgrade, downgrade, cancel
• Internal ops dashboard for user management and anomaly response
• Runbooks for common failure modes

3. Non-Goals

• Developer-facing platform
• Self-hosted desktop or mobile apps
• Skills marketplace or plugin ecosystem
• Workflow builder, triggers, scheduled agents
• Team accounts, SSO, enterprise features
• Multiple LLM providers or model selection
• Bring-your-own API key
• Forking Hermes — we track upstream and contribute back

4. Prior Art

• Hermes Agent — the open-source framework we build the hosted experience on top of
• OpenClaw — the largest agent framework today and reference for community patterns and growth dynamics
• LangGraph Deep Agents — architecture patterns for stateful long-running agent workflows
• Anthropic MCP — server design patterns for tool interfaces and permission-aware context
• Cowork (Anthropic) — polish bar and UX patterns for non-technical AI agent products
• Cursor agent UI — interaction model for AI agents in consumer products

Director, Revenue Operations

About Plooto

Plooto is a Canada-born fintech company on a mission to give small and mid-sized businesses the financial power to succeed on their own terms. We make payments secure, accurate, and stress-free so businesses and their accountants can spend less time in the books, confidently manage cash flow, and make smarter decisions every day. We’re a team that builds with integrity, agility, and heart, and we’re looking for customer-minded pros who share our passion to join us as we scale.

Director of Revenue Operations

We’re looking for a Director of Revenue Operations to build and scale the systems, processes, and insights that power our go-to-market engine. This role sits at the center of Sales, Marketing, Customer Success, and Finance—driving alignment, improving performance, and enabling predictable, scalable revenue growth as Plooto continues to grow.

You’ll bring structure to how we operate, clarity to how we measure success, and momentum to how we execute. You’ll also play a key role in modernizing how we work, leveraging AI and automation to make our GTM teams faster, smarter, and more effective.

What You’ll Do

• Own and optimize the end-to-end revenue engine across Marketing and Sales - from lead to close to expansion and retention
• Build and optimize a hybrid product-led and sales-supported growth model - ensuring a smooth experience between in-product conversion and rep-led or channel-driven sales where needed
• Drive forecasting, pipeline management, and reporting to improve predictability and decision-making
• Partner with GTM leaders to define targets, KPIs, and performance frameworks that align to company goals
• Build and scale revenue processes that are efficient, repeatable, and adaptable as we grow
• Improve data quality, visibility, and accessibility across the funnel to enable better insights and faster decisions
• Lead CRM (Salesforce) strategy, governance, and ongoing optimization
• Own and evolve the revenue tech stack, ensuring systems are integrated, scalable, and delivering real value
• Identify and implement automation and AI-driven solutions to increase efficiency, improve accuracy, and unlock new capabilities across GTM teams
• Support strategic planning, including annual planning, territory design, and capacity modeling
• Analyze performance trends and deliver clear, actionable recommendations to leadership
• Build and lead a high-performing RevOps function as the company scales

How You Work

• AI-native operator: You don’t just use AI, but you rethink how work gets done with it. You’ve implemented AI to automate workflows, enhance decision-making, enrich data, or unlock new insights. You can point to specific examples where AI meaningfully improved speed, quality, or revenue outcomes.
• Deeply collaborative partnerships: You approach RevOps as both a strategic and service function. You listen first, understand the real problem, and work alongside stakeholders to design the right solution. You build trust through partnership and consistently elevate the teams around you.
• Systems thinker with a bias for action: You see how tools, data, and processes connect—but you don’t over-engineer. You prioritize what matters, move quickly, and iterate as you go.

What You Bring

• 7–10+ years of experience in Revenue Operations, Sales Operations, or GTM Strategy
• Experience in a high-growth SaaS environment (fintech experience is a major plus)
• Hands-on experience owning and optimizing a modern revenue tech stack
• Proven ability to integrate systems and ensure clean, reliable data flows across the funnel
• Demonstrated experience applying AI and automation to improve GTM performance (e.g., forecasting accuracy, pipeline generation, sales productivity, customer expansion)
• Strong expertise in forecasting models, dashboards, and reporting frameworks
• Deep understanding of funnel metrics, pipeline dynamics, and revenue drivers
• Strong analytical skills, with experience using SQL, BI tools, or data platforms (preferred)
• Track record of driving cross-functional alignment and influencing senior leaders
• Experience building or scaling RevOps processes in a growing organization
• Excellent communication skills - able to translate complex data into clear, actionable business insights
• Bachelor’s degree in Business, Finance, Analytics, or a related field (MBA or relevant certifications are a plus)

Why Become a Plootonian?

If you’re looking to make a meaningful impact, look no further. We’re transforming the payments space in North America by delivering an unrivalled product experience to solve a real and pressing problem for SMBs.

The biggest reason small businesses fail is poor financial management and cash flow — and Plooto fixes that. We have strong product-market fit, a massive opportunity ahead, and the backing of experienced fintech leaders.

You’ll join a team that cares deeply about customer impact, takes pride in our craft, and moves with urgency. We’re just getting started — and you’ll help shape the next chapter of our growth story.

Join Plooto and be part of a mission that matters.

What We Value

• Curiosity and a drive to continuously improve how work gets done
• Ownership and accountability—you follow through and deliver results
• Thoughtful, intentional execution over unnecessary complexity
• A genuine desire to help teams succeed and perform at their best

Show Us

We care deeply about how you think and operate.

Be ready to share specific examples of how you’ve used AI to meaningfully improve a go-to-market workflow, decision, or outcome—and how you partnered with stakeholders to make it successful.

Equal Opportunity & Accessibility

We are an equal opportunity employer and are committed to building a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds and experiences. Accommodations are available upon request throughout the recruitment and selection process. If you require accommodation, please contact us at HR@plooto.com.

AI in Hiring

We may use technology, including artificial intelligence, to assist in the screening, assessment, or selection of applicants. These tools are used to support fair and consistent hiring practices.

Applicant Privacy & Process

We thank all applicants for their interest; however, only those selected for further consideration will be contacted. There is one vacant role open for this position.

Bridgeway is seeking a Senior Data Engineer to design, develop, and maintain our data warehouse infrastructure. This role involves working closely with analysts, engineers, and other stakeholders to shape our data architecture, ensuring secure and efficient data pipelines, and enabling advanced analytics across the organization. The ideal candidate will have a strong background in data engineering, data warehousing, and ELT processes, along with a passion for optimizing data systems.

This is a remote position, with preference given to East Coast candidates.

Key Responsibilities:

• Design, develop, and maintain a scalable data warehouse/lakehouse environment.
• Design and implement ELT pipelines to ingest, transform, and deliver high-quality data for analytics and reporting, incorporating current best practices, such as “pipelines as code”.
• Ensure data security and compliance, including role-based access controls for security, encryption, masking, and governance best practices to ensure compliant handling of sensitive information.
• Optimize performance of data workflows and storage for cost efficiency and speed.
• Partner with engineers, analysts, and stakeholders to meet data needs; balance cost, performance, simplicity, and time-to-value while mentoring teams and documenting standards.
• Define and implement robust testing frameworks, enforce data contracts, and establish observability practices including lineage tracking, SLAs/SLOs, and incident response runbooks to maintain data integrity and trustworthiness.
• Monitor, troubleshoot, and resolve data & automation issues.
• Collaborate within an Agile-Scrum framework and develop comprehensive technical design documentation to ensure efficient and successful delivery.
• Serve as a trusted expert on organizational data domains, processes, and best practices.

Requirements:

• 5+ years of experience in data engineering and ELT with a focus on large-scale data platforms
• 3+ years of experience with Databricks
• Advanced proficiency in analytical SQL, including ANSI SQL, T-SQL, and Spark SQL
• Strong Python skills for data engineering
• Expertise in data modeling
• Hands-on experience with data quality and observability practices (tests, contracts, lineage tracking, alerts)
• Practical knowledge of orchestration tools and CI/CD concepts for data workflows
• Excellent communication and a track record of technical leadership and mentoring
• Strong understanding of integrating data solutions with AI and machine learning models
• Strong problem-solving skills and attention to detail.
• Experience with version control systems like Git preferred
• Strong understanding of data governance and best practices in data management, with hands-on experience using Unity Catalog
• Hands-on experience in designing and managing data pipelines using Delta Live Tables (DLT) on Databricks
• Streaming and ingestion tools, such as Kafka, Kinesis, Event Hubs, Debezium, or Fivetran
• DAX, LookML, dbt; Airflow/Dagster/Prefect, Terraform; Azure DevOps; Power BI/Looker/Tableau; GitHub CoPilot knowledge is a plus
• Bachelor’s degree in Computer Science, Information Technology, or a related field. Master’s degree preferred

FORT is building a physical AI safety platform used by operators, integrators, and developers in real-world environments. The platform is growing fast, and the content layer has not kept pace. This role fixes that and then builds well ahead of it.

You will own everything from the foundational documentation that customers rely on today to the knowledge architecture that powers our AI Copilot as it ships. You will use AI heavily to work at speed and apply strong editorial judgment to make sure every output is accurate, clear, and useful.

What You Will Own

• Product and release documentation: Release notes, upgrade guides, compatibility information, and operational content that customers and integrators depend on. The current state is a starting point, not the bar.
• Copilot knowledge architecture: Structure and maintain the source of truth that feeds AI-generated answers. Own accuracy. Catch errors before users do.
• In-product guidance: Contextual help, onboarding flows, and error states written to resolve questions without escalation.
• Developer and integrator surface: API docs, hardware integration guides, and SDK references are clear enough that a new integrator reaches first success without opening a support ticket.
• Content-as-signal: Track what users search for, escalate, and struggle with. Feed that back into content priorities and product decisions.
• Voice and editorial standards: Define how FORT communicates technically and apply that standard consistently across every surface.

Who You Are

• Obsessively clear: You write one sentence where others write three paragraphs. You know when to cut.
• Creative before compliant: You reach for the format that works — a decision tree, a short video, an interactive guide — before defaulting to a numbered list.
• AI-native: You use LLMs daily to draft, restructure, and pressure-test content. You know when to trust the output and when to rewrite it. Editorial judgment is the skill; prompting is just how you get there.
• Technically grounded: You can sit with hardware and firmware engineers, understand what they are shipping, and translate it accurately. You do not need to be an engineer, but you cannot be allergic to the details.
• Safety-conscious by instinct: FORT operates in physical environments where a wrong answer has consequences. You carry that standard without being reminded.

What Good Looks Like in Year One

• Documentation is no longer a liability: Customers and integrators can find accurate, current information without opening a support ticket.
• Copilot answers technical questions correctly: The AI Copilot handles common technical queries accurately. Support volume reflects it.
• Content ships with the feature: In-product guidance and Copilot context are ready on launch day, not weeks after.
• Content informs product decisions: You are in early design conversations, flagging where the experience will break down and where content will carry the load.

What You Bring

• A portfolio that shows range: Docs, in-product copy, API references, video scripts, interactive guides. Something that shows you treat format as a deliberate choice.
• Experience with technical platforms: Hardware, developer tools, industrial automation, or safety-critical systems. An understanding of what it means to get it wrong.
• AI in your daily workflow: Not as an experiment. As a core part of how you work. You can describe your process.
• Strong editorial instincts: You have pushed back on engineers who wanted to ship a spec dump instead of a clear explanation. You have examples.