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.

Trivelta builds the technology that powers a modern online sports betting & casino platform that operators use to launch and offer 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.

As a Senior Frontend Software Engineer, you’ll play a critical role in shaping the core product platform. This platform powers our sportsbook and casino experiences, ensuring a seamless, engaging, and high-performing user journey. You’ll translate product and design concepts into clean, production-ready code while building scalable systems that serve as the foundation for our growth. This role is ideal for someone eager to influence product direction, iterate quickly, and deliver experiences that reach thousands of users from day one.

Key Responsibilities

• Build and maintain user-facing features in React and TypeScript, optimizing for responsiveness, performance, and cross-device compatibility.
• Collaborate with designers and backend engineers to deliver polished interfaces and intuitive user flows that scale with our product.
• Establish and maintain a reusable component library and design system to accelerate development and ensure consistency across the platform.
• Lead technical discussions on frontend architecture, performance tuning, and best practices to support a rapidly evolving product.
• Contribute ideas that shape product direction and deliverables, balancing speed with quality in a fast-paced startup environment.

Qualifications

• Strong proficiency with React, TypeScript, and modern frontend tooling.
• Experience designing and implementing complex product flows and interactive user interfaces.
• Demonstrated ability to think about scalability, maintainability, and performance in frontend architecture.
• Proven track record of ownership across the full feature lifecycle in dynamic, startup-like environments.

Trivelta builds the technology that powers a modern online sports betting & casino platform that operators use to launch and offer 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 Senior Mobile Software Engineer, you’ll play a critical role in shaping the core product platform. This platform powers our sportsbook and casino experiences, ensuring a seamless, engaging, and high-performing user journey. You’ll translate product and design concepts into clean, production-ready code while building scalable systems that serve as the foundation for our growth. This role is ideal for someone eager to influence product direction, iterate quickly, and deliver experiences that reach thousands of users from day one.

Key Responsibilities

• Build and maintain mobile user-facing features using React Native and TypeScript, delivering high-performance experiences across Android and iOS, while using Next.js to provide shared backend services that power both mobile and web applications.
• Collaborate with designers and backend engineers to deliver polished interfaces and intuitive user flows that scale with our product.
• Establish and maintain a reusable component library and design system to accelerate development and ensure consistency across the platform.
• Contribute ideas that shape product direction and deliverables, balancing speed with quality in a fast-paced startup environment.

 Qualifications

• Strong proficiency with React Native and TypeScript to deliver native mobile applications.
• Experience designing and implementing complex product flows and interactive user interfaces.
• Demonstrated ability to think about scalability, maintainability, and performance in frontend architecture.
• Proven track record of ownership across the full feature lifecycle in dynamic, startup-like environments.

Requirements

• Fluent in English
• Minimum 4 years of relevant experience

About the Role

Impact You'll Have

• Through your interactions with individual customers, you will help improve our product for everyone.
• Your work will play a crucial role in ensuring our customers' success and the continued effectiveness of their integration with Metronome.
• The Metronome team is more well-rounded because you bring your unique personality to work and help create an inclusive fun environment focused on helping our customers get the most value out of Metronome.

Qualifications

• 2+ years of work experience in a B2B customer-facing technical support organization or in engineering
• Experience working closely with engineering teams and providing technical feedback on customer issues
• Ability to debug and triage bugs and escalations from customers
• Can communicate technical capabilities of the product to customers
• Experience writing scripts or internal tools using APIs, and functional knowledge of SQL
• Strong written and verbal communication skills, with the ability to break down complex technical concepts clearly
• A mindset of customer empathy and ability to solve challenging problems

Bonus points

• Experience as an early or founding member of a support team, including building processes from scratch
• Startup experience and familiarity with scaling a support team
• Programming experience in one or more of Typescript, Python, or Ruby
• You have worked on modern enterprise software which is business critical
• Experience creating knowledge base articles and internal documentation
• Familiarity with at least one ticketing system, such as Pylon, Zendesk, Front, or similar

• Systems Deployment & Integration: Learn to execute and support the physical and logical integration of complex hardware-software platforms across diverse operational environments.
• Technical Troubleshooting: Assist senior engineers with the installation, configuration, and diagnostics of electromechanical systems, specialized hardware components, and integrated software suites.
• Multidisciplinary Collaboration: Partner with Mechanical, Electrical, and Systems Engineering teams to gain exposure to the full product lifecycle, from prototyping and assembly to final field implementation.
• System Performance & Validation: Assist in tracking and analyzing key performance indicators (KPIs) related to hardware reliability, system uptime, and integration success to ensure technical requirements are met.
• Design & Process Optimization: Identify opportunities to improve technical documentation, assembly checklists, and hardware installation workflows to enhance repeatability and scalability.
• Operational Technology (OT) Navigation: Gain hands-on experience working within specialized environments (e.g., manufacturing floors, secure facilities, or transit hubs) and navigating the constraints of regulated sites.
• Field Operations & Scaling: Contribute to the development of standardized engineering toolkits and deployment manuals to streamline the scaling of physical system rollouts.
• Willingness to travel (up to ~50% as needed).

About Us:

Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.

Overview:

DV Trading is seeking a Senior Cloud Infrastructure Engineer to lead the design, buildout, and operation of firm-wide cloud infrastructure supporting all trading desks and research platforms. This role owns core shared cloud capabilities across the firm while also providing specialized infrastructure support to the crypto desk. It requires deep expertise in cloud networking, distributed systems, and infrastructure placement, with strong engineering judgment in environments where latency, operational risk, and security posture directly impact PnL. 

Job Responsibilities:

• Firm-Wide Cloud Platform
  • Own the architecture and operation of cloud infrastructure supporting latency-sensitive trading systems across all desks.
  • Design VPC and network topologies with explicit routing, isolation, and traffic control; partner with the network team to build a robust, highly available, and latency-optimized global network, including Direct Connect to DV office locations and hybrid connectivity across cloud providers (Cloud Interconnect, VPN, Transit Gateway). 
  • Define compute placement strategies, including cluster placement groups and locality-aware scheduling.
  • Build and maintain shared platform capabilities that enable engineering teams across the firm to self-serve reliably and safely.
  • Own FinOps visibility and cost optimization frameworks across all trading and research workloads. 
  • Serve as the primary escalation point for cloud infrastructure incidents firm-wide, owning issues from detection through resolution. 
  • Define firm-wide observability standards and own the cloud layer of the monitoring and alerting stack. 
  • Mentor engineers and establish infrastructure standards that raise the engineering bar across teams.
• Cloud Migration (CME-GCP)
  • Lead infrastructure planning and execution for the migration of CME colocation workloads to GCP, maintaining continuity of latency-sensitive trading operations throughout. 
  • Design hybrid connectivity between colocation environments and GCP (Cloud Interconnect, Cloud VPN). 
  • Architect GCP VPC topology, IAM, and Organization Policy to mirror the security posture enforced on AWS. 
  • Define GCP compute strategy (Compute Engine, GKE, sole-tenant nodes) with trading-appropriate placement and locality considerations. 
  • Extend Terraform IaC standards to GCP; establish cross-cloud observability using Cloud Monitoring, Cloud Logging, and Cloud Trace.
• Crypto Desk – Specialized Support
  • Design secure, low-latency connectivity to cryptocurrency exchanges via private peering or dedicated API gateways. 
  • Build DDoS-resilient perimeter for crypto-facing infrastructure and enforce strict network segmentation from other trading desks. 
  • Establish WebSocket connection management infrastructure for real-time market data feeds with redundant failover and feed health observability.

Requirements:

• At least 5+ years of experience in a similar role in the industry
• Extensive hands-on experience with both AWS and GCP in performance-sensitive environments
• Deep, hands-on expertise in cloud networking: VPC design, hybrid connectivity, routing, and traffic control across AWS and GCP
• Extensive experience with Terraform at scale
• Direct experience supporting electronic trading or low-latency systems
• Demonstrated ability to build shared platform capabilities and drive adoption across engineering teams
• GCP & Cloud Migration
• Experience migrating latency-sensitive workloads to GCP; familiarity with Compute Engine, GKE, and sole-tenant nodes
• Working knowledge of GCP IAM, Organization Policies, and multi-project governance
• Understanding of multi-cloud networking patterns and cross-cloud security posture management
• Familiarity with exchange API security models, crypto key custody patterns, and WebSocket-based market data infrastructure
• Awareness of crypto-specific threat landscape: API key theft, BGP hijacking, and chain reorganization events

DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV’s posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

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.

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.

SUMMARY: Lead the re-platforming and build-out of an internal KVM-based virtualization environment on new UCS hardware in the Ashburn data center. Integrate OpenStack and open-source automation tools to support the migration of workloads from legacy datacenter, ensuring robust, scalable, and automated infrastructure.

HIERARCHY: Will report to the Service Delivery Manager

PRIMARY DUTIES:

• Tear down and rebuild existing ESX-based UCS blade environment, transitioning to KVM virtualization.
• Design and implement an OpenStack platform for internal use, considering open-source alternatives to OpenShift due to current challenges.
• Integrate SAN and NetApp storage solutions into the new platform, ensuring optimal performance and reliability.
• Deploy and configure open-source automation tools (e.g., Ansible) for infrastructure management and orchestration.
• Collaborate with internal staff (including offshore resources) and provide technical leadership and mentorship as needed.
• Work closely with network architects and storage teams to ensure seamless integration and operation.
• Document architecture, configuration, and operational procedures for the new environment.
• Support ongoing platform enhancements and troubleshooting.

COMPENTENCY: 

Required

• Extensive experience with Linux, KVM virtualization, and OpenStack deployment.
• Strong background in UCS hardware, SAN, and NetApp storage integration.
• Proficiency with open-source automation tools (e.g., Ansible).
• Ability to work independently and as part of a distributed team.
• Excellent documentation and communication skills.

Preferred

• Experience with OpenShift and other open-source cloud platforms.
• Prior involvement in large-scale data center migrations and re-platforming projects.
• Familiarity with hybrid cloud environments.

REQUIRED EDUCATION: None

EXPERIENCE:

• 8+years
  
  

LANGUAGE SKILLS: English

PHYSICAL DEMANDS:

• None

WORK ENVIRONMENT: Remote

EXPECTED HOURS OF WORK: 40 hours a week

TRAVEL: None

QUALIFICATIONS:

• Excellent attention to detail
• Strong organizational skills
• Excellent analytical skills
• Excellent documentation skills; demonstrated proficiency in Microsoft Office including Word, Excel and PowerPoint   
• Collaborative team worker – both in person and virtually using MS Teams or similar
• Ability to work as liaison between business and information security / information technology
• Flexibility to accommodate working across different time zones
• Excellent interpersonal communication skills with strong spoken and written English
• Business outcomes mindset
• Solid balance of strategic thinking with detail orientation
• Self-starter, ability to take initiative

#LI-AC1

Trivelta builds the technology that powers a modern online sports betting & casino platform that operators use to launch and offer 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 Senior Backend Software Engineer, you will play a pivotal role in designing, developing, and maintaining the platform’s core infrastructure. As a key contributor, you will drive innovation, optimize system performance, and ensure scalability, security, and reliability while collaborating with cross-functional teams, including product, security, compliance, and data analytics

Key Responsibilities

• 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 and ensure compliance with AML, KYC, data privacy, and state-by-state sweepstakes regulations.
• Mentor
  Support and guide engineers by sharing best practices and contributing to a culture of continuous learning and technical excellence.
• Collaborate Cross-Functionally
  Partner with product, finance, compliance, and support teams to translate requirements into technical solutions and ensure seamless operations.

 Qualifications

• Proven experience designing, developing, and scaling high-performance backend systems.
• Strong hands-on experience with Python for backend development, automation, and data processing.
• Experience building and maintaining APIs, working with CI/CD pipelines, and supporting infrastructure automation.
• Solid understanding of system performance optimization, security best practices, and regulatory compliance, including AML, KYC, and data privacy.
• Experience working with data pipelines, analytics integrations, and geolocation-based access controls.
• Experience mentoring or supporting other engineers and sharing engineering best practices.
• Strong collaboration skills working with cross-functional teams across product, finance, compliance, and support.
• Hands-on experience with incident management, monitoring systems, and root cause analysis.

Requirements

• Fluent in English
• Minimum 4 years of relevant experience

Responsibilities

• Evaluate and mature the organization’s disaster recovery posture, including recovery objectives (RTO/RPO), dependency mapping, and failure domain analysis across applications, data, and infrastructure.
  
  
• Define, document, and establish disaster recovery standards and best practices across cloud infrastructure, platforms, and application architectures.
  
  
• Partner with SRE, platform, security, and product engineering teams to design and implement resilient, fault-tolerant systems, progressing from backup-based recovery to multi-region and active-active architectures.
  
  
• Lead the disaster recovery roadmap, balancing technical feasibility, cost, risk, and business priorities.
  
  
• Design and recommend reference architectures for disaster recovery patterns, including pilot-light, warm standby, hot standby, and active-active.
  
  
• Drive adoption of active-active disaster recovery for critical systems, including traffic management, data replication, consistency models, and automated failover.
  
  
• Define and operationalize testing strategies for DR, including game days, chaos testing, and regular recovery exercises.
  
  
• Establish clear documentation, runbooks, and escalation paths to ensure recoverability is well understood and not dependent on individuals.
  
  
• Evaluate and recommend platform upgrades, cloud services, and tooling that improve resilience, recovery speed, and reliability.
  
  
• Serve as a technical authority and advisor on disaster recovery and resilience for leadership and engineering teams.
  
  
• Provide architectural guidance, design reviews, and mentorship to engineers implementing DR-related changes.
  
  
• Partner with security and compliance teams to ensure DR strategies meet regulatory, audit, and data protection requirements.
  
  

Desired Experience

• Bachelor’s or Master’s degree in Computer Science or equivalent practical experience.
  
  
• 8+ years of experience in cloud infrastructure, platform engineering, SRE, or reliability-focused architecture roles.
  
  

Disaster Recovery & Resilience

• Deep understanding of disaster recovery concepts including RTO/RPO, blast radius reduction, failure domains, and dependency isolation.
  
  
• Proven experience designing and implementing multi-region and multi-availability zone architectures.
  
  
• Hands-on experience moving systems toward active-active or highly available architectures.
  
  
• Strong grasp of data replication strategies, consistency tradeoffs, and recovery patterns for databases and stateful systems.
  
  

Cloud & Platform Engineering

• Extensive experience with major cloud providers (AWS preferred, GCP/Azure acceptable).
  
  
• Strong understanding of managed cloud services and their DR characteristics and limitations.
  
  
• Experience with Kubernetes-based platforms, including regional failover, workload portability, and cluster recovery strategies.
  
  
• Familiarity with global traffic management, DNS, load balancing, and service mesh patterns.
  
  

Automation & Infrastructure as Code

• Experience designing and maintaining Infrastructure as Code using tools such as Terraform, Pulumi, CloudFormation, or Ansible.
  
  
• Strong focus on automation for recovery workflows, failover testing, and environment provisioning.
  
  
• Ability to eliminate manual recovery steps and reduce time-to-recovery through software.
  
  

Operational Excellence

• Experience defining and running DR tests, game days, and failure simulations.
  
  
• Comfortable working across organizational boundaries to influence priorities and standards.
  
  
• Strong documentation and communication skills, with the ability to translate complex technical risk into business impact.

Senior Wordpress Full Stack Engineer Job Description

Job Type: Remote, Full-time

AutoDS is looking for a Senior Wordpress Full Stack Engineer to join us!

At AutoDS, we’re transforming the world of e-commerce by automating and simplifying the entire dropshipping process. Our platform empowers sellers by automating every step from product sourcing to order fulfillment.  

We’re focused on making e-commerce accessible and efficient, letting sellers spend less time managing orders and more time growing their businesses. Join AutoDS and be part of a team that's pioneering the future of e-commerce and innovation!

As a Senior Wordpress Full Stack Engineer at AutoDS you will have the opportunity to work with a global team of talented professionals and contribute to growing our communities. At AutoDS, your voice will be heard, and you’ll play a crucial part in our continued growth.

• Maintain and extend our WordPress and ReactJS platforms.
• Implement and support API integrations (internal and external).
• Collaborate with designers and product teams to translate Figma UI/UX into functional and responsive solutions.
• Participate in the code review process, ensuring code quality, performance, and scalability.

• Minimum of 5 years of experience with the WordPress Stack.
• Strong expertise in WordPress APIs, custom post types, filters, hooks, and Advanced Custom Fields (ACF).
• Proficient in popular WordPress plugins with the ability to customize them to meet project needs.
• UI design implementation skills using tools like Figma.
• Familiarity with RESTful web services and experience with various APIs.

• ReactJS fundamentals, including hooks and higher-order components (HOCs).
• Experience with Next.js and Understanding of different rendering techniques(CSR, SSR, SSG).
• Experience with Tanstack Query, Storybook, Lodash, AWS Cognito Authentication.

Soft Skills Requirements

• Proactive and motivated with a strong desire to excel in the role.
• English proficiency at Upper Intermediate (B2+) level or higher.
• Ukrainian language proficiency is an advantage.
• Strong communication skills and ability to collaborate effectively in a team.

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.

Senior Software Engineer, MediaWiki 

Summary

The Wikimedia Foundation is looking for a Senior Software Engineer to join the MediaWiki Platform team. MediaWiki is the open-source platform that powers Wikipedia and its sister projects - impacting hundreds of millions of Wikipedia users across the globe. 

The MediaWiki Platform team builds and maintains the core of MediaWiki as well as the  components responsible for authentication, notifications, and media management. The team’s mission is to provide a solid foundation for feature teams to build on. It focuses on performance, reliability and scalability, helping to ensure broad and equitable access to free knowledge.

This role offers a unique opportunity to combine technical depth with mission-driven impact. As a Senior Engineer, you will not only write robust code but also lead by example, prioritize high-impact work, support better decision-making through metrics and observability and foster a culture of accountability, transparency, and continuous improvement.

Important: We are a fully remote team. Your working hours will need to overlap with UTC-2 to UTC+3 time zones to accommodate members of your team around the world.

You will be responsible for:

• Designing, improving, and maintaining key parts of the MediaWiki stack;
• Driving technical quality and operational excellence by defining and reinforcing standards in testing, observability, and system reliability;
• Comfortably and autonomously creating proofs of concept, writing design documents, and breaking down complex projects into actionable tasks to support less experienced team members;
• Developing and improving shared capabilities (e.g., authentication, caching, rate limiting) that enable other teams to build efficiently and consistently;
• Championing key product metrics by focusing on measurable outcomes that guide our decisions and help us to evaluate success;
• Leading by example in code review, decision-making, and team culture - fostering transparency, empathy, and collaboration;
• Improving and automating processes for identifying, tracking, and resolving production issues;
• Collaborating with the Product team and the community to ensure technical solutions align with WMF strategy, feature teams and volunteer contributor needs;
• Coaching and mentoring teammates to support continuous growth and confidence in both technical and interpersonal skills.

Qualities we are looking for:

• Clear communicator: You explain complex ideas simply and foster shared understanding across engineering, product, and non-technical audiences;
• Outcome-oriented: You prioritize work that delivers value to users and aligns with organizational goals. You balance ideal solutions with the constraints of scale, legacy, and user expectations;
• Accountable: You own your work end-to-end and help establish a culture of responsibility and follow-through;
• Candid and respectful: You offer feedback directly, constructively, and with care - and invite the same in return. You support growth by challenging ideas, not people;
• Collaborative leadership: You inspire trust and progress through support, example, and thoughtful contributions.

Requirements:

• Commitment to the Foundation's Mission and Values;
• Extensive experience in backend software engineering;
• Familiarity with platform or infrastructure products that serve internal or external engineering teams;
• Experience with databases and event streams, including schema design, query optimization, and efficient data access patterns;
• Deep understanding of software architecture, testing methodologies, and system design;
• Strong experience in observability practices: setting up metrics, logging, monitoring, and alerting;
• Familiarity with incident response, root cause analysis, and follow-up processes;
• Experience working with CI/CD pipelines and automated test infrastructure.

Additionally, we’d love it if you have:

• Experience developing frameworks (designing for reuse, extensibility, stability, and backward compatibility);
• Proficiency in PHP and JavaScript; 
• Familiarity with identity management, including OAuth;
• Experience with Kubernetes ecosystem, including Envoy;
• Experience with Prometheus and Grafana;
• Experience defining and working with SLAs/SLOs or other production reliability frameworks;
• Prior experience with MediaWiki or Wikimedia projects;
• Contributions to open-source software;
• Experience working in a fully remote, distributed team.

About the Wikimedia Foundation

The Wikimedia Foundation is the nonprofit organization that operates Wikipedia and the other Wikimedia free knowledge projects. Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge freely. We host Wikipedia and the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive. 

The Wikimedia Foundation is a charitable, not-for-profit organization that relies on donations. We receive donations from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts. The Wikimedia Foundation is a United States 501(c)(3) tax-exempt organization with offices in San Francisco, California, USA.

As an equal opportunity employer, the Wikimedia Foundation values having a diverse workforce and continuously strives to maintain an inclusive and equitable workplace. We encourage people with a diverse range of backgrounds to apply. We do not discriminate against any person based upon their race, traits historically associated with race, religion, color, national origin, sex, pregnancy or related medical conditions, parental status, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, or any other legally protected characteristics.

The Wikimedia Foundation is a remote-first organization with staff members including contractors based 40+ countries*. Salaries at the Wikimedia Foundation are set in a way that is competitive, equitable, and consistent with our values and culture. The anticipated annual pay range of this position for applicants based within the United States is US$113,082  to US$175,725  with multiple individualized factors, including cost of living in the location, being the determinants of the offered pay. For applicants located outside of the US, the pay range will be adjusted to the country of hire. We neither ask for nor take into consideration the salary history of applicants. The compensation for a successful applicant will be based on their skills, experience and location.

*Please note that we are currently able to hire in the following:
US States: Arizona, California, Colorado, Connecticut, District of Columbia*, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Maryland, Massachusetts, Michigan, Minnesota, Missouri, New Jersey, New Mexico, New York, North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, Puerto Rico*, Rhode Island, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin and Wyoming (*US Territory or Federal District)

Countries: Brazil, Canada, Colombia, France, Germany, Ghana, India, Indonesia, Italy, Kenya*, Mexico, Morocco, Netherlands, Poland, Singapore*, South Africa, Spain, Switzerland and the United Kingdom. Our non-US employees are hired through a local third party Employer of Record (EOR) and must have current work authorization in their location. (*citizens/permanent residents only)

We periodically review this list to streamline to ensure alignment with our hiring requirements.

All applicants can reach out to their recruiter to understand more about the specific pay range for their location during the interview process.

If you are a qualified applicant requiring assistance or an accommodation to complete any step of the application process due to a disability, you may contact us at recruiting@wikimedia.org or +1 (415) 839-6885.

More information

U.S. Benefits & Perks

Applicant Privacy Policy

Wikimedia Foundation

What does the Wikimedia Foundation do?

What makes Wikipedia different from social media platforms?

Our Projects

Our Tech Stack

News from across the Wikimedia movement

Wikimedia Blog

Wikimedia 2030

Our product team is growing, and we are looking for a QA Engineer who is excited about mobile to help us deliver a reliable, secure, and seamless experience across all platforms.

You will dive into testing native iOS and Android applications and their integrations, working closely with engineers, product managers, and designers. Your focus will be on validating end-to-end mobile scenarios: from native app behavior and platform-specific edge cases to integrations with frontend web pages and third-party services.

This role is a great fit for someone who is genuinely curious about how mobile products work under the hood, finds it interesting when iOS and Android behave differently under the same conditions and enjoys tracing how a third-party integration affects the user experience end-to-end. If you like asking questions, going deeper than the surface, and growing in a team that treats QA as a shared responsibility, we'd love to meet you.

Responsibilities

• Perform manual testing mobile (native iOS and Android) applications across different platforms and environments
• Perform API testing to verify request/response correctness, data exchange, and error handling
• Perform integration testing between applications to ensure proper communication, data flow, and system consistency
• Analyze technical documentation to understand requirements, specifications, and expected system behavior
• Write and maintain test documentation (test cases, test plans, and other QA artifacts)
• Collaborate with the support team to resolve incidents, investigate bugs, and ensure effective inter-team communication
• Participate in planning and regular team meetings to align scope, priorities, and timelines

Requirements

• At least 1.5 years of commercial experience as a QA Engineer
• Strong understanding of software testing processes, SDLC, and methodologies (Agile/Scrum)
• Experience in mobile (Android Studio, Xcode), API (Postman or similar tools), regression, smoke testing
• Experience with API documentation and testing tools (BrowserStack, GraphQL, etc.)
• Practical experience with relational databases (MySQL, PostgreSQL, etc.)
• Proficiency in log analysis and monitoring tools (Graylog, Grafana, etc.)
• Hands-on experience with test management systems (e.g., TestRail) and with bug tracking systems (e.g., Jira)
• Good knowledge of browser DevTools for troubleshooting
• Experience in writing test documentation
• Good knowledge of version control systems (Git)
• Intermediate level of English proficiency

Will be a plus

• Experience in writing automated tests (Java, Appium)
• Experience with Charles, Fiddler and Proxyman
• Experience working on product teams, especially in fintech

We offer

• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays as per the company’s approved Public holiday list
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

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.

Why this role exists:

This role exists to own end-to-end technical configurations for merchant payment integrations and cashier configurations, ensuring compliant, reliable, and observable payment processing across environments. The role focuses on accelerating time-to-live for clients through accurate setup, validation, and maintenance of payment configurations. It is a critical function as all client journeys and payment expansions depend on correct configuration processes.

What you’ll drive:

Client configuration and setup

• Intake, clarify, and prioritise configuration change requests from clients and internal teams.
• Translate business constraints into executable configurations across payment methods and MIDs.
• Configure and maintain payment methods, acquirer connections, and MIDs in Back Office.

Validation, launch, and support

• Plan and execute end-to-end validation including request/response mapping, callbacks, and reconciliation checks.
• Coordinate production launches ensuring readiness across Engineering, SRE, Compliance, and Support.
• Provide L3 support, investigate incidents, and resolve configuration-related issues.

Observability, processes, and ownership

• Analyse logs and transactions using observability tools to ensure configuration stability.
• Define monitoring dashboards and alerts for approval rates, errors, and provider performance.
• Maintain documentation, workflows, and act as subject-matter expert for Payment Gateway configuration.

What makes you a GR8 fit:

Must-have

• Minimum 2+ years of experience in payment integrations configurations or similar roles.
• Experience in configurations, QA, or Business Analysis within payments or fintech.
• Strong understanding of JSON and XML with ability to configure payloads and provider schemas.
• Hands-on experience with REST clients and API contract validation.
• Working knowledge of SQL/PostgreSQL for data validation and diagnostics.
• Experience with webhooks/callbacks verification and troubleshooting.
• Experience with Git/GitLab for configuration versioning and change control.
• Basic understanding of CI/CD processes.
• Solid understanding of payment flows including authorization, capture, settlement, refund, and void.
• Knowledge of 3DS/SCA flows and MID management.
• Awareness of compliance and risk controls such as KYC, AML, and fraud rules.
• Practical experience with Postman or similar REST tools, JIRA, Confluence, manual testing, and log analysis tools.
• Strong sense of ownership, ability to manage multiple tasks, and understanding of SDLC processes.

Nice-to-have

• Experience in iGaming industry.

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

WordPress VIP is the world’s leading enterprise content management platform. We help the world's largest companies (including Meta, Salesforce, and Disney) create innovative digital experiences with WordPress.

We’re looking for a Solutions Engineer to provide technical leadership to our Enterprise sales team, where you'll play a key part in building and maintaining the structure to support our sales programs. You’ll define and implement scalable processes and systems that deliver technical expertise, with a focus on consultative solution-based selling.

Responsibilities:

Partnering proactively with Sales and Customer Success to qualify new business opportunities in terms of technical requirements, competitive landscape, and business drivers.

• Identifying and solving customer problems proactively and creatively through effective project management and consultation on technical setup.
• Building proofs of concept and leading the demo process—including building, running, and training the team based on our buyer personas, verticals, and business priorities.
• Contributing to the RFP/RFI process as the primary point person on technical responses that Account Executives need assistance with.
• Recommending the integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution using best practices on our Cloud.

Requirements: 

• 5+ years experience in a Solutions Engineer or related position with customer-facing experience translating customer technical requirements into value discussions.
• Understanding of enterprise business models, content distribution, audience engagement and enterprise focused technical solutions.
• Experience with WordPress, PHP, or consulting experience.
• Demonstrated experience building Proofs of Concept and leading demo presentations.
• Worked closely with Account Executive teams developing solutions on complex sales opportunities.
• Outstanding communication; you should be great at holding people’s attention whether presenting, talking on the phone, or writing a quick blog post.

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

Salary range: $150,000-$200,000 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 for the right candidate.

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

Automattic’s products—WordPress.com, WooCommerce, Beeper, Tumblr, Jetpack, and more—serve tens of billions of page views every month from data centers around the world. The PerfOps team exists to make those page views as quickly as possible. As a Backend Performance Engineer, you’ll dive deep into query plans, cache hit ratios, and PHP profiling data to find the milliseconds that matter at our scale. You’ll work across the full Automattic product portfolio: if it runs on our backend, it’s your playground.

This is an opportunity to do performance work where the impact is immediate and enormous. You’ll collaborate with product engineers, systems engineers, and network operations, bringing a performance-first mindset to architecture decisions, code reviews, and incident response. If you love the puzzle of why something is slow and get satisfaction from making it measurably faster, this role was made for you.

Responsibilities: 

• Identifying and eliminating backend performance bottlenecks by profiling PHP applications, analyzing MySQL/MariaDB query performance, and optimizing Memcached usage across Automattic’s products.
• Building and improving performance observability—developing dashboards, instrumentation, and automated detection that surface regressions before they reach production, and give engineering teams clear, actionable data.
• Partnering with product and platform engineers to review code and architecture through a performance lens, advocating for efficient database access patterns, caching strategies, and backend design decisions.
• Raising the performance bar across engineering by documenting best practices, contributing to internal guidelines for PHP and database performance, and mentoring teams on how to write backend code that scales.
• Proactively searching out performance issues and working to resolve them.
• Deep dives on individual sites, working alongside support staff and engineers to address customer performance issues.

Requirements: 

• Deep hands-on experience with PHP performance: you can profile a PHP application, identify hot paths, and reason about memory usage and execution time at the code level.
• Strong understanding of caching layers and strategies: you know how to design and debug Memcached (or similar) caching patterns, understand cache invalidation trade-offs, and can reason about when and where caching helps versus hides problems.
• Experience doing performance work at scale: you’ve worked on systems serving millions of requests where small inefficiencies compound into real problems, and you understand the difference between optimizing on a benchmark and optimizing under production load.
• Ability to instrument, measure, and prove: you don’t guess, you measure. You have experience building or using profiling tools, APM systems, and performance dashboards to turn hunches into data and verify that a fix actually worked.
• Excellent written communication skills: Automattic is a distributed, async-first company. You’ll need to clearly explain complex performance findings, write up proposals, and influence engineering decisions through writing, not meetings.
• Self-direction and ownership: you can identify the highest-impact performance work, prioritize it, drive it to completion, and hold yourself accountable without waiting for someone to assign it to you.
• Bonus points for hands-on experience with WordPress and WooCommerce in high-traffic production environments

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

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.