Who we are

About Stripe 

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the organization 

Stripe Infrastructure is responsible for the reliability, scale, performance, and cost of Stripe’s systems and the productivity and sentiment of Stripe’s people. 

You may work on a wide variety of critical business areas including: 

• Core Infrastructure - We’re the home for Stripe's critical tier0 infrastructure systems (Compute, Networking, DocumentDB, Distributed Caching and High assurance engineering). We build the foundational platform for Stripe products and services to allow them to operate at scale. We drive reliability, availability, efficiency and scalability of these systems.
• Developer Infrastructure - We’re responsible for the productivity of all developers at Stripe. Ensure Stripe’s engineers have a reliable, fast, and easy-to-use inner dev loop to maximize productivity while building everything from low-latency microservices to large-scale data pipelines and machine learning models
• Data Platform -  We’re responsible for offering data serving infrastructure spanning across data warehouse analytics, streaming analytics and search capabilities. The stack is supported by a collection of internally developed large scale distributed services and several popular open source technologies like Trino/Presto, Apache Pinot, Hive Metastore, ElasticSearch etc. The systems we own support all of the data serving needs of high scale services and thousands of individual Stripes across the company. 
• Admin Platform - We empower Stripes to quickly build secure and delightful internal products in service of their users.
• Support Experience - We build and improve our 24x7 email, phone, and chat support channels, our Premium Support and Enterprise Services products, our Support Site, and more. This includes how users get help within our products, how they get in touch with us when they have questions, and how our teams use internal tools to answer those questions.
• Service Platform - We enable engineering teams at Stripe to easily write and ship useful services that correctly, reliably, and efficiently leverage platform capabilities. 

Team Matching: exact team matching for one of the subteams will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. More information on our team matching process can be found here.

What you’ll do

You will work on projects that span technologies, systems, and processes where you will design, build, test, and ship great code every day.

Responsibilities

• Build a great customer experience for internal and external Stripe teams using our infrastructure
• Participate in roadmap planning and prioritization
• Deliver value through a strong collaborative approach with multiple customers and stakeholders across Stripe
• Debug production issues across services and several levels of the stack

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum Requirements 

• Strong software engineering skills and a passion for one of the areas above.
• Ability to write high quality code (in programming languages like Go, Java, C/C++ etc)
• 2-12+ years of professional hands-on software development experience, able to write well-factored algorithms and have experience with commonly used data structure and algorithms
• Hands-on experience contributing to or building large scale distributed systems
• Strong collaboration skills, can work across workstreams within your team and contribute to your peers’ success
• Customer obsession, ability to articulate and represent customer experience in various forums to drive the right outcome
• Have the ability to thrive on a high level of autonomy, responsibility, and think of yourself as entrepreneurial

Preferred Qualifications

• Experience optimizing the end to end performance of distributed systems
• Focuses on the needs of our users, both internal and external
• Holds yourself and others to a high bar when working with production

What is The Role

Elastic's Portfolio Product Marketing team is seeking a Senior Portfolio Product Marketing Manager — one of the  team's primary operators and one of its most consequential hires. Reporting to the Director of Portfolio Product Marketing, this role will transform vision into execution: owning Elastic's portfolio-level story, driving cross portfolio creative initiatives, and ensuring that nothing lives as a strategy deck when it should be in market.
This is a portfolio-level role. You will not own a single product, solution, or use case. You will own the breadth of Elastic's portfilio story — across search, observability, and security — and the narrative platform that ties it together into something the market can understand, remember, and choose.
We are looking for a rare profile: a senior strategist who is also a relentless executor. Someone who has done the work of building positioning and messaging at portfolio scale, who can walk into a room with the CEO and hold their own, and who can write a narrative arc, corporate overview, or keynote storyline with equal facility. You will bring a body of work that demonstrates both the strategic depth and the creative standard this team demands.

What You Will Be Doing

• Portfolio Positioning & Messaging
  - Own Elastic's portfolio-level positioning and messaging — the architecture that spans search, observability, and security and makes the whole greater than the sum of its parts.
  - Develop and maintain the master message platform: the POV, proof points, and category language that PR, AR, sales, and the broader marketing organization draw from.
  - Partner with product marketing, analyst relations, and PR to ensure Elastic's category framing is consistent from analyst briefings to press pitches to sales conversations.
• Go-to-Market Execution
  - Lead the go-to-market narrative for major platform moments — launches, announcements, and strategic pivots — ensuring every asset, audience, and channel touchpoint tells a coherent and compelling story.
  - Serve as the primary operational driver of the Portfolio Product Marketing team: own the editorial calendar, manage cross-functional workstreams, and move projects from brief to delivery with pace and precision.
  - Partner with demand generation to ensure campaigns are anchored in the right portfolio narrative and carry a creative standard that builds brand alongside pipeline.
  - Develop sales enablement materials — narratives, positioning frameworks, competitive guides — that give the field the story and the tools to win.
• Storytelling & Creative
  - Build and own the portfolio-level story: origin, differentiation, vision, and the human context that makes Elastic's platform feel distinct and worth choosing.
  - Reimagine customer stories from metric summaries into genuine narratives — the kind that make other organizations want what those customers have.
  - Develop thought leadership content and executive POV that earns attention from technical decision-makers and executives and earns Elastic a seat in conversations it is not yet part of.
  - Set and uphold the creative standard for everything the team produces — from keynote narrative to campaign concept to long-form content.
• Executive & Cross-functional Engagement
  - Work directly with Elastic's senior leadership to develop and refine the executive POV platform — the perspectives, proof points, and frameworks that make the CEO and senior leaders genuinely compelling in press interviews, analyst briefings, and on stage.
  - Build and maintain trusted relationships across product, engineering, sales, demand generation, PR, AR, and events — operating with influence rather than authority and getting great work done through collaboration.
  - Present strategy and creative recommendations to executive stakeholders with clarity, confidence, and conviction.

What You Bring 

• 8+ years of product marketing experience in B2B technology, with meaningful time at the platform or portfolio level — you have owned a platform narrative, not just supported one
• A demonstrable track record of building positioning and messaging that changed how a market described a company or a category
• Exceptional storytelling ability — on paper, on stage, and in the room — with a portfolio of work that shows both strategic rigor and creative ambition (candidates will be asked to submit a portfolio / examples of past work)
• Proven ability to work directly with executive leadership: developing their POV, preparing them for high-stakes engagements, and holding your own in senior-level conversations
• Strong cross-functional operating instincts — you know how to build influence without authority and how to move fast through organizations that are complex
• Deep fluency in data, search, AI, and enterprise technology — you understand what customers are building with these tools and why it matters at a business level
• An execution-first orientation: you are the person who makes things happen, not the person who documents the plan and waits for others to act

Bonus Points

• Building or contributing to a brand narrative or messaging platform from the ground up
• Working in or alongside a creative strategy, brand, or corporate communications function
• Developing keynote narratives or executive presentation content for large-scale industry events
• Competitive strategy or analyst relations in enterprise infrastructure, data, or security markets

What Is The Role : 

We are a team of creative technologists who live at the intersection of engineering and storytelling. We craft narratives that connect the what, how, and why of our technology — from major product launches to minor releases, video tutorials to interacting with and influencing analysts. We drive defining the core message, aligning the company, and telling narratives that stick.

You will be the voice of Elastic Observability in the market, a trusted thought partner to product management and field teams, jointly shaping the outbound strategy that drives adoption across observability use cases. You will move between the technical and the creative: understanding how our products work, who uses them, and why it matters, then translating that into positioning, content, and campaigns. Be responsible for the observability narrative at Elastic, from market positioning to product launch and field enablement.

You'll work with a distributed team, including product, sales, marketing and executive leadership.

What You Will Be Doing : 

• Own messaging and positioning : Craft differentiated, compelling narratives for Elastic Observability that resonate with both practitioners and decision makers.
• Drive go-to-market strategy end-to-end : Define and lead GTM for new launches and campaigns from strategy through execution and track metrics.
• Enable the field : Build training and content that empowers sales, solutions engineering, and customer success to tell the Elastic story with confidence.
• Represent Elastic in the community : Attend and present at trade shows, conferences, and industry events. Some travel required.

What You Bring : 

• Direct experience with Observability, DevOps, or cloud-native infrastructure use cases. You understand the problems SREs, platform engineers, and developers face day-to-day.
• Curiosity about the "how" of technology, paired with the storytelling instinct to explain the "why" to any audience.
• A track record of crafting engaging content through blog posts, presentations, demos, videos that makes technical ideas accessible and compelling.
• Strong communication skills, comfortable presenting to audiences of all sizes, from an intimate field briefing to a conference keynote.
• Experience collaborating across a highly cross-functional, globally distributed team.

Bonus Points : 

Background in observability and prior experience as an SRE, platform engineer, solutions engineer, or consultant.

What Is The Role : 

We are a team of creative technologists who live at the intersection of engineering and storytelling. We craft narratives that connect the what, how, and why of our technology — from major product launches to minor releases, video tutorials to interacting with and influencing analysts. We drive defining the core message, aligning the company, and telling narratives that stick.

You will be the voice of Elastic Observability in the market, a trusted thought partner to product management and field teams, jointly shaping the outbound strategy that drives adoption across observability use cases. You will move between the technical and the creative: understanding how our products work, who uses them, and why it matters, then translating that into positioning, content, and campaigns. Be responsible for the observability narrative at Elastic, from market positioning to product launch and field enablement.

You'll work with a distributed team, including product, sales, marketing and executive leadership.

What You Will Be Doing : 

• Own messaging and positioning : Craft differentiated, compelling narratives for Elastic Observability that resonate with both practitioners and decision makers.
• Drive go-to-market strategy end-to-end : Define and lead GTM for new launches and campaigns from strategy through execution and track metrics.
• Enable the field : Build training and content that empowers sales, solutions engineering, and customer success to tell the Elastic story with confidence.
• Represent Elastic in the community : Attend and present at trade shows, conferences, and industry events. Some travel required.

What You Bring : 

• Direct experience with Observability, DevOps, or cloud-native infrastructure use cases. You understand the problems SREs, platform engineers, and developers face day-to-day.
• Curiosity about the "how" of technology, paired with the storytelling instinct to explain the "why" to any audience.
• A track record of crafting engaging content through blog posts, presentations, demos, videos that makes technical ideas accessible and compelling.
• Strong communication skills, comfortable presenting to audiences of all sizes, from an intimate field briefing to a conference keynote.
• Experience collaborating across a highly cross-functional, globally distributed team.

Bonus Points : 

Background in observability and prior experience as an SRE, platform engineer, solutions engineer, or consultant.

Your role
As a Sr. Software Engineer on the Tel Core team, you are the steward of our media engine’s evolution. You will bridge the gap between high-level product goals and technical execution, ensuring our telephony stack remains resilient as we scale. You’ll mentor peers and shape the long-term roadmap while fostering a culture of engineering excellence. Your success is defined by the seamless, high-quality audio experience of millions of users.

This position reports to an Engineering Manager in the Telephony Core team and has the opportunity to be based in either Vancouver or Kitchener, Canada locations 

We don’t mind if you come from a different engineering background or haven’t worked in real-time media before. Just be excited to learn, to contribute to the team, and to build a fast, reliable, elegant product that delights our customers.

What you’ll do

• Maintain and modernize the real-time services that run on the Telephony Engines. Architect backend libraries and APIs to integrate with the broader Telephony Platform.
• Build and optimize low-latency media pipelines for voice and video—tuning codecs, RTP flows, and congestion-control behavior to deliver consistently clear conversations over unreliable networks.
• Investigate and resolve complex production issues across PSTN, WebRTC, and carrier boundaries using Telephony Engine logs, PCAPs, observability tools, and data-driven experimentation.
• Run load, failover, and regression tests on Telephony Engines and backend services to validate scalability, resilience, and capacity limits
• Partner with Tel Cloud, Tel Edge, Calling, and AI teams to design end-to-end call flows and integrations
• Participate in on-call and release rotations, owning Terraform- and GKE-backed rollouts, monitoring health, and driving follow-ups that continuously make the platform safer and easier to operate.
• Shape the Tel Core roadmap by turning broad epics into clear designs and mentoring other engineers.

Skills you’ll bring 

• Bachelor's degree in Computer Science or equivalent practical experience.
• 5+ years of software engineering experience, including owning substantial production backend systems in a SaaS or real‑time communications environment.
• Demonstrated proficiency in coding with AI agents to accelerate development and improve code quality.
• Deep expertise in C/C++ and Python.
• Experience with (or strong interest in learning) SIP, WebRTC, RTP/RTCP, DTLS/SRTP, and media codec negotiation in a production setting.
• Experience troubleshooting and improving real‑time media quality (e.g., jitter, packet loss, choppy audio, codec issues) is a strong plus.
• Comfortable working on KTLO (bugs, refactors, upgrades) as well as strategic roadmap items, and using data to prioritize impact.
• A deep understanding of reliability engineering, including the ability to build observability into services, eliminate performance bottlenecks, and manage the lifecycle of safe software releases.
• A strong sense of urgency, personal agency, and customer empathy.
• Passion for data driven decisions, building resilient systems, and solving classes of problems.

Our tech stack

• C, C++, Python, Go, Lua.
• Kubernetes, Redis, ElasticSearch, BigQuery.
• Google Cloud Platform: Cloud Run, GKE, Datastore, Pub/Sub.

L’opportunité
Êtes-vous une ingénieure ou un ingénieur en développement et exploitation (DevOps) visionnaire qui s’intéresse particulièrement à la mise en place d’infrastructures modernes grâce à l’automatisation, à l’infrastructure en tant que code (IaC) et aux pratiques CI/CD avancées? Au sein de l’équipe IT Engineering de Unity Technologies, vous jouerez un rôle central dans l’évolution de notre environnement multinuagique mondial.

Ce rôle comprend la conception et la gestion de solutions conteneurisées à haute disponibilité, avec un fort accent sur Kubernetes (en particulier GKE), ainsi que l’intégration d’outils d’IA pour accroître l’efficacité. Votre expertise façonnera directement l’infrastructure dynamique des TI, qui permet aux équipes d’ingénierie de Unity de créer des logiciels novateurs utilisés par des millions de développeuses et développeurs dans le monde. Vous ferez partie d’une équipe performante, répartie sur plusieurs régions, qui se consacre à l’innovation continue et à l’automatisation de nos systèmes et qui établit des standards élevés d’excellence.

Si vous n’avez pas peur de retrousser vos manches et que vous aimez relever de nouveaux défis au sein d’une entreprise de renommée mondiale, nous voulons vous rencontrer!

Ce que vous allez faire

• Concevoir, mettre en œuvre et maintenir une infrastructure infonuagique évolutive en appliquant les principes d’infrastructure en tant que code (IaC).
• Créer des applications conteneurisées et gérer des grappes Kubernetes, avec un accent sur Google Kubernetes Engine (GKE).
• Concevoir et tenir à jour des pipelines CI/CD robustes à l’aide d’outils modernes comme ArgoCD, GitHub Actions et Jenkins afin de permettre des déploiements rapides.
• Automatiser l’ensemble des volets de l’infrastructure et des opérations TI afin de réduire le travail manuel, d’améliorer la fiabilité et d’optimiser l’expérience des utilisateurs.
• Explorer et implémenter des outils d’IA pour améliorer l’efficacité opérationnelle, la sécurité et les capacités de maintenance prédictive.

Ce que nous recherchons

• Expertise de Kubernetes (GKE) et des technologies de conteneurisation.
• Expérience éprouvée avec des outils d’infrastructure en tant que code (IaC) (p. ex. Terraform et Ansible).
• Maîtrise des méthodologies et des outils CI/CD (ArgoCD, GitHub Actions, Jenkins).
• Solide expérience de travail dans un environnement infonuagique (GCP, AWS ou Azure).
• Capacité à rédiger du code de haute qualité, prêt pour la production, dans des langages comme Python ou Golang pour l’automatisation et le développement de services.

Vous avez peut-être également

• Une expérience en développement ou en intégration d’outils d’IA/AA (ML).
• Une connaissance des pratiques modernes d’observabilité, incluant la journalisation avancée, les métriques et l’alertage, par exemple Elastic Stack (Elasticsearch, Kibana) et Prometheus/Grafana.
• Une expertise en dépannage avancé et en optimisation de performance de services complexes exécutés dans des environnements de production Linux à fort volume de trafic.
• Une connaissance des services infonuagiques natifs et disposer d’une expérience en automatisation d’infrastructures de bases de données SQL/NoSQL.
• Un sens solide des responsabilités pour mettre en place des feuilles de route et des initiatives techniques, et d’excellentes aptitudes de collaboration au sein d’une équipe répartie sur plusieurs régions.

Information supplémentaire

• Le support à la relocalisation n’est pas disponible pour ce poste
• Un visa de travail ou un parrainage de l’immigration n’est pas disponible pour ce poste

Avantages
Chez Unity, nous voulons que nos membres d’équipe s’épanouissent. Nous offrons un large éventail d’avantages conçus pour soutenir le bien-être et l’équilibre travail-vie personnelle.

Veuillez noter: L’admissibilité aux avantages, les offres spécifiques et la couverture varient selon le pays et le statut d’emploi.

Bien que les avantages précis puissent varier, voici certaines des façons dont nous nous efforçons de prendre soin de nos membres d’équipe admissibles à l’échelle mondiale : assurance santé, vie et invalidité complète | Subvention pour les déplacements | Participation des employés à l’actionnariat | Régimes de retraite/pension compétitifs | Vacances et congés personnels généreux | Soutien aux nouveaux parents grâce à des congés et des programmes de soutien aux familles | Collations offertes au bureau | Programmes et soutien en matière de santé mentale et de bien-être | Groupes-ressources pour employés | Programme mondial d’aide aux employés | Programmes de formation et de perfectionnement | Programme de bénévolat et de jumelage de dons

La vie chez Unity
Unity [NYSE : U] est le premier moteur de jeu au monde, propulsant les expériences de plus de 3 milliards d’utilisateurs(rices) chaque mois. Les plus grands jeux mobiles, les titres indépendants PC les plus populaires, des jeux console parmi les plus innovants, ainsi que la quasi-totalité des principales expériences XR et jeux Web sont développés, déployés et optimisés avec Unity.

Unity accompagne également des équipes dans des secteurs tels que l’automobile, l’industrie manufacturière et la santé pour concevoir, simuler et collaborer en 3D - comblant ainsi l’écart entre les idées et la réalité. Pour plus d’informations, veuillez visiter www.unity.com.

Unity est un employeur fier de garantir l’égalité des chances. Nous nous engageons à favoriser un environnement inclusif et innovateur et à célébrer nos employés à travers l’âge, l’éthinicité, la couleur, l’ascendance, l’origine nationale, la religion, le handicap, le sexe, l’identité ou l’expression de genre, l’orientation sexuelle ou tout autre statut protégé conformément à la loi applicable. Si vous êtes en situation de handicap ou avez des besoins spécifiques nécessitant des aménagements pour que votre entretien se déroule dans les meilleures conditions, nous vous invitons à remplir ce formulaire afin de nous en informer et que nous puissions faire le nécessaire.

Ce poste exige que son ou sa titulaire possède une connaissance de l’anglais qui soit suffisante pour lui permettre d’avoir des échanges professionnels verbaux et écrits dans cette langue, puisque l’accomplissement des tâches liées à ce poste nécessite des communications fréquentes et régulières avec des collègues et partenaire situés à l’échelle mondiale et dont la langue commune est l’anglais.

Les chasseurs de têtes et les agences de recrutement ne peuvent pas soumettre résumes/CV par ce site Web ou directement aux superviseurs. Unity n’accepte pas des chasseurs de têtes non sollicités et des résumés (CV) d’agence. Unity ne payera pas d’honoraires à aucune agence tierce ou entreprise qui n’a pas signé d’ententes avec Unity.

La protection de votre vie privée est importante pour nous. Veuillez prendre un moment pour consulter nos politiques de confidentialité pour les prospects et les candidats. Si vous avez des questions concernant la protection de votre vie privée, veuillez nous contacter à DPO@unity.com.

The opportunity
Are you a visionary DevOps Engineer with a keen focus on driving modern infrastructure through Automation, Infrastructure-as-Code (IaC), and advanced CI/CD practices? At Unity Technologies IT Engineering, you will be pivotal in evolving our global, multi-cloud environment.

This includes architecting and managing highly available, containerized solutions, with a strong emphasis on Kubernetes (specifically GKE), and integrating AI tooling to enhance efficiency. Your expertise will directly shape the dynamic IT infrastructure that empowers Unity’s engineering teams to create groundbreaking software utilized by millions of developers worldwide. You will be part of a high-performing, multi-region team dedicated to continuous innovation and automation of our systems, setting a high standard for excellence.

If you’re not afraid to roll up your sleeves and enjoy new challenges supporting a globally leading company, we are looking for you!

What you'll be doing

• Designing, implementing, and maintaining scalable cloud infrastructure using Infrastructure-as-Code (IaC) principles.
• Building containerized applications and managing Kubernetes clusters, with a focus on Google Kubernetes Engine (GKE).
• Developing and maintaining robust CI/CD pipelines using modern tools like ArgoCD, GitHub Actions, and Jenkins for rapid deployment.
• Driving automation across all aspects of the IT infrastructure and operations to minimize manual effort, improve reliability and improve the user experience.
• Exploring and implementing AI tooling to enhance operational efficiency, security, and predictive maintenance capabilities.

What we're looking for

• Expertise with Kubernetes (GKE) and containerization technologies.
• Proven experience with Infrastructure-as-Code (IaC) tools (e.g., Terraform and Ansible.)
• Deep understanding of CI/CD methodologies and tools (ArgoCD, GitHub Actions, Jenkins).
• Strong background working in a cloud environment (GCP, AWS, or Azure).
• Ability to write high-quality, production-grade code in languages like Python or Golang for automation and service development.

You might also have

• Experience with developing or integrating AI/ML tooling.
• Familiarity with modern Observability practices, including robust logging, metrics, and alerting, e.g. Elastic Stack (Elasticsearch, Kibana) and Prometheus/Grafana.
• Expertise in advanced troubleshooting and performance optimization of complex services running in high-traffic Linux-based production environments.
• Familiarity with cloud-native services and experience with SQL/NoSQL database infrastructure automation.
• Strong ownership mindset to drive technical roadmaps and initiatives, coupled with excellent collaboration skills to work effectively within a multi-region team.

Additional information

• Relocation support is not available for this position
• Work visa/immigration sponsorship is not available for this position

Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#SEN #LI-SA1

L’opportunité
Êtes-vous une ingénieure ou un ingénieur en développement et exploitation (DevOps) visionnaire qui s’intéresse particulièrement à la mise en place d’infrastructures modernes grâce à l’automatisation, à l’infrastructure en tant que code (IaC) et aux pratiques CI/CD avancées? Au sein de l’équipe IT Engineering de Unity Technologies, vous jouerez un rôle central dans l’évolution de notre environnement multinuagique mondial.

Ce rôle comprend la conception et la gestion de solutions conteneurisées à haute disponibilité, avec un fort accent sur Kubernetes (en particulier GKE), ainsi que l’intégration d’outils d’IA pour accroître l’efficacité. Votre expertise façonnera directement l’infrastructure dynamique des TI, qui permet aux équipes d’ingénierie de Unity de créer des logiciels novateurs utilisés par des millions de développeuses et développeurs dans le monde. Vous ferez partie d’une équipe performante, répartie sur plusieurs régions, qui se consacre à l’innovation continue et à l’automatisation de nos systèmes et qui établit des standards élevés d’excellence.

Si vous n’avez pas peur de retrousser vos manches et que vous aimez relever de nouveaux défis au sein d’une entreprise de renommée mondiale, nous voulons vous rencontrer!

Ce que vous allez faire

• Concevoir, mettre en œuvre et maintenir une infrastructure infonuagique évolutive en appliquant les principes d’infrastructure en tant que code (IaC).
• Créer des applications conteneurisées et gérer des grappes Kubernetes, avec un accent sur Google Kubernetes Engine (GKE).
• Concevoir et tenir à jour des pipelines CI/CD robustes à l’aide d’outils modernes comme ArgoCD, GitHub Actions et Jenkins afin de permettre des déploiements rapides.
• Automatiser l’ensemble des volets de l’infrastructure et des opérations TI afin de réduire le travail manuel, d’améliorer la fiabilité et d’optimiser l’expérience des utilisateurs.
• Explorer et implémenter des outils d’IA pour améliorer l’efficacité opérationnelle, la sécurité et les capacités de maintenance prédictive.

Ce que nous recherchons

• Expertise de Kubernetes (GKE) et des technologies de conteneurisation.
• Expérience éprouvée avec des outils d’infrastructure en tant que code (IaC) (p. ex. Terraform et Ansible).
• Maîtrise des méthodologies et des outils CI/CD (ArgoCD, GitHub Actions, Jenkins).
• Solide expérience de travail dans un environnement infonuagique (GCP, AWS ou Azure).
• Capacité à rédiger du code de haute qualité, prêt pour la production, dans des langages comme Python ou Golang pour l’automatisation et le développement de services.

Vous avez peut-être également

• Une expérience en développement ou en intégration d’outils d’IA/AA (ML).
• Une connaissance des pratiques modernes d’observabilité, incluant la journalisation avancée, les métriques et l’alertage, par exemple Elastic Stack (Elasticsearch, Kibana) et Prometheus/Grafana.
• Une expertise en dépannage avancé et en optimisation de performance de services complexes exécutés dans des environnements de production Linux à fort volume de trafic.
• Une connaissance des services infonuagiques natifs et disposer d’une expérience en automatisation d’infrastructures de bases de données SQL/NoSQL.
• Un sens solide des responsabilités pour mettre en place des feuilles de route et des initiatives techniques, et d’excellentes aptitudes de collaboration au sein d’une équipe répartie sur plusieurs régions.

Information supplémentaire

• Le support à la relocalisation n’est pas disponible pour ce poste
• Un visa de travail ou un parrainage de l’immigration n’est pas disponible pour ce poste

Avantages
Chez Unity, nous voulons que nos membres d’équipe s’épanouissent. Nous offrons un large éventail d’avantages conçus pour soutenir le bien-être et l’équilibre travail-vie personnelle.

Veuillez noter: L’admissibilité aux avantages, les offres spécifiques et la couverture varient selon le pays et le statut d’emploi.

Bien que les avantages précis puissent varier, voici certaines des façons dont nous nous efforçons de prendre soin de nos membres d’équipe admissibles à l’échelle mondiale : assurance santé, vie et invalidité complète | Subvention pour les déplacements | Participation des employés à l’actionnariat | Régimes de retraite/pension compétitifs | Vacances et congés personnels généreux | Soutien aux nouveaux parents grâce à des congés et des programmes de soutien aux familles | Collations offertes au bureau | Programmes et soutien en matière de santé mentale et de bien-être | Groupes-ressources pour employés | Programme mondial d’aide aux employés | Programmes de formation et de perfectionnement | Programme de bénévolat et de jumelage de dons

La vie chez Unity
Unity [NYSE : U] est le premier moteur de jeu au monde, propulsant les expériences de plus de 3 milliards d’utilisateurs(rices) chaque mois. Les plus grands jeux mobiles, les titres indépendants PC les plus populaires, des jeux console parmi les plus innovants, ainsi que la quasi-totalité des principales expériences XR et jeux Web sont développés, déployés et optimisés avec Unity.

Unity accompagne également des équipes dans des secteurs tels que l’automobile, l’industrie manufacturière et la santé pour concevoir, simuler et collaborer en 3D - comblant ainsi l’écart entre les idées et la réalité. Pour plus d’informations, veuillez visiter www.unity.com.

Unity est un employeur fier de garantir l’égalité des chances. Nous nous engageons à favoriser un environnement inclusif et innovateur et à célébrer nos employés à travers l’âge, l’éthinicité, la couleur, l’ascendance, l’origine nationale, la religion, le handicap, le sexe, l’identité ou l’expression de genre, l’orientation sexuelle ou tout autre statut protégé conformément à la loi applicable. Si vous êtes en situation de handicap ou avez des besoins spécifiques nécessitant des aménagements pour que votre entretien se déroule dans les meilleures conditions, nous vous invitons à remplir ce formulaire afin de nous en informer et que nous puissions faire le nécessaire.

Ce poste exige que son ou sa titulaire possède une connaissance de l’anglais qui soit suffisante pour lui permettre d’avoir des échanges professionnels verbaux et écrits dans cette langue, puisque l’accomplissement des tâches liées à ce poste nécessite des communications fréquentes et régulières avec des collègues et partenaire situés à l’échelle mondiale et dont la langue commune est l’anglais.

Les chasseurs de têtes et les agences de recrutement ne peuvent pas soumettre résumes/CV par ce site Web ou directement aux superviseurs. Unity n’accepte pas des chasseurs de têtes non sollicités et des résumés (CV) d’agence. Unity ne payera pas d’honoraires à aucune agence tierce ou entreprise qui n’a pas signé d’ententes avec Unity.

La protection de votre vie privée est importante pour nous. Veuillez prendre un moment pour consulter nos politiques de confidentialité pour les prospects et les candidats. Si vous avez des questions concernant la protection de votre vie privée, veuillez nous contacter à DPO@unity.com.

The opportunity
Are you a visionary DevOps Engineer with a keen focus on driving modern infrastructure through Automation, Infrastructure-as-Code (IaC), and advanced CI/CD practices? At Unity Technologies IT Engineering, you will be pivotal in evolving our global, multi-cloud environment.

This includes architecting and managing highly available, containerized solutions, with a strong emphasis on Kubernetes (specifically GKE), and integrating AI tooling to enhance efficiency. Your expertise will directly shape the dynamic IT infrastructure that empowers Unity’s engineering teams to create groundbreaking software utilized by millions of developers worldwide. You will be part of a high-performing, multi-region team dedicated to continuous innovation and automation of our systems, setting a high standard for excellence.

If you’re not afraid to roll up your sleeves and enjoy new challenges supporting a globally leading company, we are looking for you!

What you'll be doing

• Designing, implementing, and maintaining scalable cloud infrastructure using Infrastructure-as-Code (IaC) principles.
• Building containerized applications and managing Kubernetes clusters, with a focus on Google Kubernetes Engine (GKE).
• Developing and maintaining robust CI/CD pipelines using modern tools like ArgoCD, GitHub Actions, and Jenkins for rapid deployment.
• Driving automation across all aspects of the IT infrastructure and operations to minimize manual effort, improve reliability and improve the user experience.
• Exploring and implementing AI tooling to enhance operational efficiency, security, and predictive maintenance capabilities.

What we're looking for

• Expertise with Kubernetes (GKE) and containerization technologies.
• Proven experience with Infrastructure-as-Code (IaC) tools (e.g., Terraform and Ansible.)
• Deep understanding of CI/CD methodologies and tools (ArgoCD, GitHub Actions, Jenkins).
• Strong background working in a cloud environment (GCP, AWS, or Azure).
• Ability to write high-quality, production-grade code in languages like Python or Golang for automation and service development.

You might also have

• Experience with developing or integrating AI/ML tooling.
• Familiarity with modern Observability practices, including robust logging, metrics, and alerting, e.g. Elastic Stack (Elasticsearch, Kibana) and Prometheus/Grafana.
• Expertise in advanced troubleshooting and performance optimization of complex services running in high-traffic Linux-based production environments.
• Familiarity with cloud-native services and experience with SQL/NoSQL database infrastructure automation.
• Strong ownership mindset to drive technical roadmaps and initiatives, coupled with excellent collaboration skills to work effectively within a multi-region team.

Additional information

• Relocation support is not available for this position
• Work visa/immigration sponsorship is not available for this position

Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#SEN #LI-SA1

What is the role

We're looking for a Principal Software Engineer to join the Elasticsearch - Search team. This globally-distributed team of expert engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene. This is a principal software engineering role that focuses on enhancing the vector similarity search functionality within Elasticsearch, covering the design and implementation of new vector search features, enhancements to existing vector search functionality, and resolving bugs.

Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements.

What You Will Be Doing

• Lead initiatives within Elasticsearch to produce an industry-leading vector database offering, supplying unparalleled speed and relevance in search.
• Contribute to Elasticsearch full time, building new search features and fixing intriguing bugs, all while making the code easier to understand. Sometimes you'll need to invent a new algorithm or data structure. Or find one and implement it. Sometimes you'll need to get close to the operating system and hardware.
• Work with a globally distributed team of experienced engineers focused on the vector search capabilities of Elasticsearch.
• Be an expert on how Elasticsearch implements vector similarity in support of search relevance and everyone will turn to you when they have a question about this area. You'll improve this area based on your questions and your instincts.
• Work with community members from all over the world on issues and pull requests, sometimes triaging them and handing them off to other experts and sometimes handling them yourself.
• Write idiomatic modern Java -- Elasticsearch is 99.8% Java!

What You Bring Along

• You have implemented novel techniques in vector similarity on a search platform with a large user base or progressed the field of academic research in vector similarity information retrieval.
• Professional experience with vector similarity and vector databases, and you used HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale.
• You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as other features like lambdas.
• You work with a high level of autonomy, and are able to take on projects and guide them from beginning to end. This covers both technical design and working with other engineers to develop needed components.
• You're comfortable developing collaboratively. Giving and receiving feedback on code and approaches and APIs is hard! Bonus points if you've collaborated over the internet because that's harder. Double bonus points for asynchronous collaboration over the internet. That's even harder, but we do it anyway because it's the best way we know how to build software.
• You've used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and have some idea how they work and why they work that way.
• You have excellent verbal and written communication skills. Like we said, collaborating on the internet is hard. We try to be respectful, empathetic, and trusting in all of our interactions. And we'd expect that from you too.

Bonus Points

• You've built things with Elasticsearch before.
• You've worked with open source projects and are familiar with different styles of source control workflow and continuous integration.
• Experience with data storage technology.
• You have experience designing, leading and owning cross-functional initiatives

The Team

Okta’s Workforce Identity Cloud Security Engineering group embraces innovation and paves the way to transform bright ideas into excellent security software solutions that help run large-scale, mission-critical software. Our Security engineering team has a niche skill-set that combines security domain expertise with the ability to design, implement and rollout security features and functionalities without adding friction to product functionality or performance. We are responsible for the ever-growing need to improve our customer safety and privacy by providing security services that are coupled with the core Okta product.

The Role

Okta’s Workforce Identity Cloud Security Engineering group is looking for an experienced and passionate Staff Software Security Engineer to join a team focused on designing and developing Security solutions to harden our frameworks & infrastructure. We encourage you to prescribe defense-in-depth measures, industry security standards, and enforce the principle of least privilege to help take our Security posture to the next level.

This is a high-impact role in a security-centric, fast-paced organization that is poised for massive growth and success. You will act as a liaison between the Security org and the engineering org to build technical leverage and influence the security roadmap and direction. You will focus on engineering security and privacy aspects of the systems used across our services while working on a weekly release cadence. You will be empowered to propose  stimulating new projects for our roadmap and rewarded with projects using  emerging technologies. Join us and be part of a company that is about to change the cloud computing landscape forever.

What you’ll be doing 

• Act as a liaison between the engineering and security org to develop innovative requirements for the security roadmap
• Evangelize security best practices across the engineering org
• Research, design, implement and own security oriented frameworks and features with the common goal of protecting Okta’s customers
• Routinely participate in cross-vertical code reviews with emphasis on Security
• Break down complex problems into sub-tasks while prototyping rapidly and iteratively contributing to security initiatives using agile practices
• Coach and mentor junior engineers in the team

What you’ll bring to the role

• 8+ years of development experience in designing and implementing software systems in Java, building highly reliable and mission-critical software
• 4+ years of work experience in designing and implementing security solutions for applications and distributed systems
• Work experience and excellent understanding in mitigating OWASP Top 10 attacks on applications, Application Security, Cryptography, Authentication, Authorization using Role-Based and Attribute-Based access controls
• Strong understanding of concepts such as Test-Driven development, Secure SDLC, Secure code reviews and the ability to identify and mitigate threat vectors and vulnerabilities in code and infrastructure
• Good understanding and experience in using cloud service providers such as AWS and GCP
• Good understanding of 'AI Secure by Design' practices throughout the development lifecycle, ensuring secure coding for AI-powered applications and validating the integrity of training datasets
• Engineer and implement AI-based security solutions (e.g., automated threat analysis) that enhance application and infrastructure security
• Developing and maintaining technical documentation such as cookbooks, design and architecture docs
• Troubleshooting and fixing production issues to ensure reliability, security and performance
• Work experience in using RDBMS like MySQL, good grasp of concepts such as  replication and clustering along with familiarity in data stores such as Redis and Elasticsearch
• Excellent grasp of software engineering principles coupled with strong written and verbal communication skills
• B.S or M.S in Computer Science or related fields

#LI-SM1

#LI-Hybrid

P12002_3360981

Overview: 

Guidepoint seeks an experienced Data/AI Engineer as an integral member of the Toronto-based AI team. The Toronto Technology Hub serves as the base of our Data/AI/ML team, dedicated to building a modern data infrastructure for advanced analytics and the development of responsible AI. This strategic investment is integral to Guidepoint’s vision for the future, aiming to develop cutting-edge Generative AI and analytical capabilities that will underpin Guidepoint’s Next-Gen research enablement platform and data products. 

This role demands exceptional leadership and technical prowess to drive the development of next-generation research enablement platforms and AI-driven data products. You will develop and scale Generative AI-powered systems, including large language model (LLM) applications and research agents, while ensuring the integration of responsible AI and best-in-class MLOps. The Senior AI/ML Engineer will be a primary contributor to building scalable AI/ML capabilities using Databricks and other state-of-the-art tools across all of Guidepoint’s products. 

Guidepoint’s Technology team thrives on problem-solving and creating happier users. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to improve our internal application architecture and create new AI-enabled products to optimize the seamless delivery of our services.

This is a hybrid position based in Toronto. 

What You'll Do 

• Architect and Build Production Systems: Design, build, and operate scalable, low-latency backend services and APIs that serve Generative AI features, from retrieval-augmented generation (RAG) pipelines to complex agentic systems. 

• Own the AI Application Lifecycle: Own the end-to-end lifecycle of AI-powered applications, including system design, development, deployment (CI/CD), monitoring, and optimization in production environments like Databricks and Azure Kubernetes Service (AKS). 

• Optimize RAG Pipelines: Continuously improve retrieval and generation quality through techniques like retrieval optimization (tuning k-values, chunk sizes), using re-rankers, advanced chunking strategies, and prompt engineering for hallucination reduction. 

• Integrate Intelligent Systems: Engineer solutions that seamlessly combine LLMs with our proprietary knowledge repositories, external APIs, and real-time data streams to create powerful copilots and research assistants. 

• Champion LLMOps and Engineering Best Practices: Collaborate with data science and engineering teams to establish and implement best practices for LLMOps, including automated evaluation using frameworks like LLM Judges or MLflow, AI observability, and system monitoring. 

• Evaluate and Implement AI Strategies: Systematically evaluate and apply advanced prompt engineering methods (e.g., Chain-of-Thought, ReAct) and other model interaction techniques to optimize the performance and safety of proprietary and open-source LLMs. 

• Mentor and Lead: Provide technical leadership to junior engineers through rigorous code reviews, mentorship, and design discussions, helping to elevate the team's engineering standards. 

• Influence the Roadmap: Partner closely with product and business stakeholders to translate user needs into technical requirements, define priorities, and shape the future of our AI product offerings. 

 What You'll Bring 

• Experience: A Bachelor’s degree in Computer Science, Engineering, or a related technical field with 6+ years of professional experience; or a Master’s degree with 4+ years of professional experience in backend software engineering and Generative AI. This must include a proven track record of designing, building, and scaling distributed, production-grade systems. 

• Strong Software Engineering Fundamentals: Deep expertise in Python, a major backend framework (e.g., FastAPI, Flask), and asynchronous programming (e.g., asyncio). Proficiency in designing RESTful APIs, microservices, and the complete operational lifecycle, including comprehensive testing, CI/CD (e.g., ArgoCD), observability, monitoring, alerting, maintaining high uptime, and executing zero-downtime deployments. 

• Cloud & Infrastructure Proficiency: Hands-on experience deploying and managing applications on a major cloud platform (Azure preferred, AWS/GCP acceptable) using containerization (Docker) and orchestration (Kubernetes, Helm). 

• Production AI Application Experience: 2+ years of experience building applications that leverage large language models from providers like OpenAI, Anthropic, or Google Gemini. Direct experience with modern LLM patterns such as retrieval-augmented generation (RAG), hybrid search using vector databases (e.g., Pinecone, Elasticsearch), multi-agent AI systems with tool calls, and prompt engineering is required. 

• AI System Design and Evaluation: Experience designing and implementing robust evaluation frameworks for LLM-based systems, including rubric-based scoring, LLM Judges, or using tools like MLflow, alongside monitoring for performance and drift. 

• Large-Scale Data Processing: Familiarity with large-scale data processing platforms and tools (e.g., Databricks, Apache Spark). 

• Familiarity with the Modern AI Stack: Practical experience with libraries and frameworks like LangChain or LlamaIndex for building LLM-powered applications. 

• Leadership and Mentorship: Demonstrated ability to lead complex technical projects and foster the growth of other engineers. 

What We Offer:  

The annual base salary range for this position is $135,000 - $210,000. Additionally, this position is eligible for an annual discretionary bonus based on performance.

You will also be eligible for the following benefits: 

• Paid Time Off 

• Comprehensive benefits plan 
• Company RRSP Match 
• Development opportunities through the LinkedIn Learning platform 

About Guidepoint: 

Guidepoint is a leading research enablement platform designed to advance understanding and empower our clients’ decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we help our clients to turn answers into action. 

Backed by a network of nearly 1.75 million experts, and Guidepoint’s 1,600 employees worldwide, we inform leading organizations’ research by delivering on-demand intelligence and research on request. With Guidepoint, companies and investors can better navigate the abundance of information available today, making it both more useful and more powerful. 

At Guidepoint, our success relies on the diversity of our employees, advisors, and client base, which allows us to create connections that offer a wealth of perspectives. We are committed to upholding policies that contribute to an equitable and welcoming environment for our community, regardless of background, identity, or experience. 

#LI-SP1

#LI-Hybrid

Your Role
As a Sr. Software Engineer in Tel Cloud, you will own the components that power our global communications systems. You will work on features like call routing, SMS/MMS messaging, spam detection, fraud detection, fleet deployments, porting, and number management, ensuring our platform remains scalable, reliable, and trustworthy.

This position reports to an Engineering Manager in the Telephony Platform team.

We don’t mind if you come from a different engineering background or haven’t worked in communications before. Just be excited to learn, contribute to the team, and build a fast, reliable, elegant product that delights our customers.

What you’ll do

• Design data models for heavy concurrency and real-time performance, ensuring sub-second latency for global call routing.
• Test and tune service scaling to ensure we always have capacity available to service our customers’ real-time communications.
• Build monitors and alerts to maintain high reliability and observability.
• Participate in releases and on-call rotations, driving operational excellence for the team's platform components.
• Design, write, and deploy features used by Dialpad engineering teams to communicate with carriers and third-party communication services.
• Strategize and drive the roadmap for cross-team platform initiatives.
• Serve as a champion, coach, and mentor to more junior engineers, promoting a culture of ownership and craftsmanship.

Skills you’ll bring  

• Bachelor's degree in Computer Science or equivalent practical experience.
• 5+ years of SaaS professional experience maintaining large-scale production backend systems.
• Demonstrated proficiency in coding with AI agents to accelerate development and improve code quality.
• Deep expertise in Python/Java/C and at least one cloud-native architecture (e.g., GCP).
• Familiarity with async and MapReduce design patterns, as well as NoSQL databases, distributed caches, and large-scale data lakes.
• Experience in profiling and optimizing backend code for low-latency requirements (p50/p90 metrics).
• A strong sense of urgency, personal agency, and customer empathy.
• Passion for data-driven decisions, building resilient systems, and solving classes of problems.

Our tech stack

• Backend: Python, Google Cloud Platform, Cloud Run / k8s, Datastore, Redis, ElasticSearch, BigQuery, Google Cloud Pub/Sub.
• Frontend: Angular / Bootstrap.

Your role
As a Sr. SDET in Agentic QA, you will own the test automation and quality frameworks that support Dialpad’s AI Voice Agent services. You will develop automated tests for end-to-end product experiences, from frontend UI to backend services to APIs to audio/text interactions. You will test orchestration flows, agent configuration experiences, and guardian safeguards to create robust automated coverage for functionality, performance, reliability, UX, and more. 

In this role, you will develop substantial amounts of automated test infrastructure and partner deeply with the development team to make our fast-growing AI platform more testable, more stable, and more delightful for customers.

This position is based at one of Dialpad’s Canadian offices and reports to a QA Eng Manager in the United States.

What you’ll do

• Own end-to-end quality for agentic features and workflows, including strategy, development, execution, and release qualification.
• Design and build automation tooling and frameworks for AI/LLM-driven systems, including prompt flows, agent orchestration, and tool integrations.
• Develop and maintain evaluation frameworks (evals) to measure response quality, accuracy, and hallucination rates.
• Drive automation coverage (80%+ for critical AI workflows) using deterministic + probabilistic validation approaches.
• Integrate AI quality checks into CI/CD pipelines with fast feedback cycles (<15 minutes for PR validation).
• Build tooling for LLM observability and debugging, including prompt tracing and response analysis.
• Partner with Applied AI teams on prompt engineering, model selection, and evaluation strategies.
• Design and execute performance and load tests for AI services (latency, throughput, cost efficiency).
• Identify and mitigate risks related to hallucinations, bias, safety, and edge cases.
• Define and track AI quality KPIs (task success rates, precision/recall, latency, etc.).
• Participate in design and architecture reviews to ensure systems are testable, observable, and resilient.
• Mentor engineers and contribute to raising the bar on AI quality engineering practices.

What you’ll bring

• 5+ years of experience in software engineering or SDET roles with an emphasis on software development.
• Strong programming skills in Python (preferred), Java, or JavaScript.
• Experience testing distributed, cloud-native SaaS systems and APIs.
• Demonstrated proficiency in coding with AI agents to accelerate development and improve code quality.
• Hands-on exposure to LLMs or AI/ML systems (e.g., OpenAI, Claude, Gemini, or similar platforms).
• Understanding of non-deterministic systems and probabilistic testing approaches.
• Experience building test frameworks and scalable automation systems.
• Familiarity with AI evaluation techniques (benchmarking, golden datasets, human-in-the-loop validation).
• Experience with CI/CD pipelines (e.g., Jenkins, GitHub Actions).
• Strong collaboration skills with the ability to work across distributed teams and time zones.
• Bachelor’s degree in Computer Science or equivalent practical experience.
• Backend: Python, Go, Google Cloud Platform, Cloud Run / App Engine, Kubernetes, Datastore, Redis, ElasticSearch.
• Frontend: Vue3, React.
• AI Stack: LLM APIs, LiveKit, prompt orchestration frameworks, evaluation tooling.

Your role
As a Sr. SDET in Agentic QA, you will own the test automation and quality frameworks that support Dialpad’s AI Voice Agent services. You will develop automated tests for end-to-end product experiences, from frontend UI to backend services to APIs to audio/text interactions. You will test orchestration flows, agent configuration experiences, and guardian safeguards to create robust automated coverage for functionality, performance, reliability, UX, and more. 

In this role, you will develop substantial amounts of automated test infrastructure and partner deeply with the development team to make our fast-growing AI platform more testable, more stable, and more delightful for customers.

This position is based at one of Dialpad’s Canadian offices and reports to a QA Eng Manager in the United States.

What you’ll do

• Own end-to-end quality for agentic features and workflows, including strategy, development, execution, and release qualification.
• Design and build automation tooling and frameworks for AI/LLM-driven systems, including prompt flows, agent orchestration, and tool integrations.
• Develop and maintain evaluation frameworks (evals) to measure response quality, accuracy, and hallucination rates.
• Drive automation coverage (80%+ for critical AI workflows) using deterministic + probabilistic validation approaches.
• Integrate AI quality checks into CI/CD pipelines with fast feedback cycles (<15 minutes for PR validation).
• Build tooling for LLM observability and debugging, including prompt tracing and response analysis.
• Partner with Applied AI teams on prompt engineering, model selection, and evaluation strategies.
• Design and execute performance and load tests for AI services (latency, throughput, cost efficiency).
• Identify and mitigate risks related to hallucinations, bias, safety, and edge cases.
• Define and track AI quality KPIs (task success rates, precision/recall, latency, etc.).
• Participate in design and architecture reviews to ensure systems are testable, observable, and resilient.
• Mentor engineers and contribute to raising the bar on AI quality engineering practices.

What you’ll bring

• 5+ years of experience in software engineering or SDET roles with an emphasis on software development.
• Strong programming skills in Python (preferred), Java, or JavaScript.
• Experience testing distributed, cloud-native SaaS systems and APIs.
• Demonstrated proficiency in coding with AI agents to accelerate development and improve code quality.
• Hands-on exposure to LLMs or AI/ML systems (e.g., OpenAI, Claude, Gemini, or similar platforms).
• Understanding of non-deterministic systems and probabilistic testing approaches.
• Experience building test frameworks and scalable automation systems.
• Familiarity with AI evaluation techniques (benchmarking, golden datasets, human-in-the-loop validation).
• Experience with CI/CD pipelines (e.g., Jenkins, GitHub Actions).
• Strong collaboration skills with the ability to work across distributed teams and time zones.
• Bachelor’s degree in Computer Science or equivalent practical experience.
• Backend: Python, Go, Google Cloud Platform, Cloud Run / App Engine, Kubernetes, Datastore, Redis, ElasticSearch.
• Frontend: Vue3, React.
• AI Stack: LLM APIs, LiveKit, prompt orchestration frameworks, evaluation tooling.

About the Role

Abnormal AI is looking for a Senior Backend Engineer to join the App Foundations team. App Foundations owns the core customer-centric data and platform services that every Abnormal product depends on — our MPP API and customer data model, the Notifications Platform, License Entitlement, Package Management, Large Model Service (LMS, our internal LLM inference platform), and the MPP Go Service that sits behind our Portal. If a product at Abnormal is launching, scaling, or talking to a customer, it’s almost certainly running on something we own.

This is a senior IC role for a generalist backend engineer who wants to own systems end-to-end, raise the technical and operational bar, and help shape how a platform team operates in an AI-native company. You’ll rotate across our surfaces rather than specializing in one — which means your first year spans API design, distributed systems reliability, LLM inference infrastructure, and the kind of hard, cross-team platform work that determines whether new products ship cleanly.

The ideal candidate is a product-minded, principle-first engineer who takes extreme ownership, communicates crisply, and treats AI tools as a core part of how they build — not a side experiment.

What you will do

• Design, build, and operate high-performance, low-latency services across the App Foundations portfolio — Python/Django, Go, MySQL/PostgreSQL, Kafka, Redis, and ElasticSearch — in close partnership with engineers, designers, PMs, and EMs across R&D.
• Lead end-to-end delivery of platform features and stability workstreams — from tech design and PRR through launch, post-launch ops, and long-term ownership.
• Raise the operational bar: drive SLO-backed reliability work on Tier-0 systems like Notifications and LMS, improve our observability and on-call posture, and reduce unplanned work on the systems you own.
• Contribute to our LLM inference platform (LMS) — model routing and fallback, provider integrations (Azure OpenAI, Bedrock), batch/async inference, cost attribution, and the safety rails that let product teams ship AI features without reinventing the stack.
• Build AI-native internal tools that change how the team operates: automated ticket triage, on-call copilots, post-mortem drafting, customer-request classifiers — following the precedent of our Nora workflow and existing Claude skills.
• Mentor other engineers, drive tech design and PR reviews, and be a credible SME for the systems you own.
• Partner with product managers, TPMs, and peer platform teams (Portal, Customer Journey, Data Security, FedRAMP) to land complex cross-team initiatives cleanly.
• Participate in hiring: write questions, run loops, and help bring the next wave of AF engineers on board.

AI-Forward Hiring

App Foundations is an AI-native team. We expect every engineer — from Day 1 — to use AI coding tools (Cursor, Claude Code, and the rest) as the default way they write and review code, and to design AI leverage into the workflows they own. This role is explicitly for someone who already operates this way and wants to push it further.

In interviews, we’ll look for concrete evidence that you:

• Use AI tools daily to ship faster — and can talk specifically about where they help, where they hurt, and how you’ve adjusted your workflow.
• Have built or shipped something AI-powered beyond the IDE — a script, an agent, a workflow automation, a production feature — that actually changed how work got done.
• Think at the workflow level, not just the keystroke level: you look at an ops process, a support queue, or a team ritual and ask “what should an agent own here?”
• Have opinions about how AI changes the role of a senior engineer in the next 1–3 years, and are excited about a team that treats AI as core infrastructure rather than an experiment.

Because we own LMS, experience building with LLMs in production — provider APIs, evals, model routing, cost and quota management — is a strong plus, but not required.

Must Have Skills

• 5+ years of backend software engineering experience building and operating production services at scale.
• 4+ years on relevant tech stacks — Python (Django) and/or Go; MySQL / PostgreSQL; and hands-on experience with Kafka, Redis, and ElasticSearch.
• 3+ years supporting enterprise-class customers in production, including ownership of SLOs, on-call, and incident response.
• 2+ years of system design experience — demonstrated ability to design, document, and land non-trivial cross-team architectures.
• Proven experience leading multi-quarter projects end-to-end: tech design, implementation, launch, and post-launch operations.
• Demonstrated daily use of AI coding tools in your current workflow, and specific examples of where you’ve used AI to improve how you or your team works beyond just code generation.
• Strong written and verbal communication; proven ability to collaborate autonomously and asynchronously with remote stakeholders.
• Bachelor’s degree in Computer Science or equivalent professional experience.

Nice to Have

• Hands-on experience building with LLMs in production — provider APIs (OpenAI/Anthropic/Bedrock), model routing and fallback, evals, batch inference, or cost/quota tooling.
• Experience with notification delivery systems, licensing/entitlement platforms, or other high-leverage internal platforms used by many product teams.
• Experience building and shipping AI agents or automations (coding agents, ops agents, classifier pipelines) that replaced meaningful manual work.
• Experience mentoring engineers and acting as a tech lead on at least a small squad.
• Master’s degree in Computer Science or a related field.

#LI-AJ1

An overview of this role

As the first Engineering Manager embedded the Upstream Studios organization at GitLab, you'll lead a focused team of Engineers responsible for two foundational surfaces: the Pajamas Design System, which powers the coherence of the entire GitLab product, and docs.gitlab.com, the documentation platform serving millions of GitLab users and contributors worldwide. 

This is a rare opportunity to define what engineering leadership looks like inside a design organization. You’ll report to the Chief Design Officer and partner closely with Product Design, Technical Writing, Localization, Marketing, Product Management, and Engineering leaders across GitLab. Critically, the design system is a contribution-based, company-wide platform that engineers across the entire organization depend on and actively participate in. Building those partnerships and making it easier for engineers everywhere to contribute to Pajamas will be central to your success. 

You’ll be a hands-on technical leader and people manager in equal measure: guiding architecture decisions, shaping contribution workflows, and helping a small, high-impact team do some of the most leveraged work at GitLab.

What you'll do

• Lead, mentor,and grow a high-performing team of engineers, working across the Pajamas Design System and the GitLab documentation site.
• Define and build the engineering practice within Upstream Studios–this is a new function and you’ll have real influence over how it takes shape.
• Guide architecture and technical decisions for the design system (components, tokens, patterns) and the docs site (performance, reliability, infrastructure, localization).
• Help others across the organization understand the strategic value of a well-maintained design system and documentation platform.
• Advocates for engineering quality: technical debt, accessibility standards, customer issues, security, and platform reliability.
• Collaborate with Product Design and Technical Writing to translate design and content needs into scalable technical solutions

What you'll bring

• Experience leading infrastructure, platform, or development teams, with a track record of building high-performing, values-aligned teams.
• Deep expertise in design systems–including design tokens, component architecture, accessibility standards, and contribution models.
• Excellent technical background, including professional experience with Git, docs-as-code, Hugo, accessibility and building and maintaining a design system.
• Experience of building and supporting multi-lingual sites and localization workflows at scale.
• Professional experience with JavaScript (Vue.js) and familiarity with Elasticsearch, Ruby/Go, AI tools, and continuous integration and continuous deployment (CI/CD) practices.
• Strong expertise in running and scaling large, consumer-grade platforms, with a focus on reliability, security, performance, and scalability.
• Proficiency in the English language, both written and verbal, sufficient for success in a remote and largely asynchronous work environment.
• Demonstrated capacity to clearly and concisely communicate about complex technical, architectural, and/or organizational problems and propose thorough iterative solutions.
• Experience with performance and optimization problems and a demonstrated ability to both diagnose and prevent these problems
• Comfort working in a highly agile, intensely iterative software development process.
• Passion for open source and developer tools, with a commitment to GitLab's values, inclusive culture, and high-performance expectations.

About the team

Upstream Studios is the full-stack experience organization for GitLab. We imagine it, we design it, we document it, we ship it—partnering across product, engineering, and marketing to deliver a continuous deployment of quality.

We integrate research, design, frontend engineering, documentation, and brand into a unified delivery pipeline, shaping how customers experience GitLab from first impression to final deployment. For more information on how we work, see the Upstream Studios section of the GitLab Handbook.

What is The Role

At Elastic, we don’t just connect dots; we power the future of work. As the creators of Elasticsearch, Kibana, and Logstash, we are uniquely positioned to turn vast data into actionable intelligence. We are looking for a visionary Lead GenAI Cloud Developer to spearhead the evolution of ElasticGPT—transforming it from a conversational assistant into a proactive, task-oriented agentic ecosystem that removes friction from every Elastician's day.

Your Mission: From Chat to Action

You will lead the IT GenAI roadmap, moving beyond simple chat interfaces to build intuitive, action-oriented agentic workflows. Your goal is to mature our internal GPT tool’s (ElasticGPT) capabilities so it doesn't just answer questions—it executes tasks, automates complex processes, and serves as the primary driver of workforce productivity. 

This role requires experience building and operating real-world GenAI systems under constraints of scale, cost, latency, and enterprise governance—not just prototype or experimental workflows.

What You Will Be Doing

• AI Agent Strategy & Development: Lead the evolution of ElasticGPT into a task-oriented agent. Design sophisticated workflows (both agentic and deterministic) using LangGraph/LangChain/Elastic Agent Builder/n8n (or equivalent frameworks) to automate enterprise-wide productivity.
• Production RAG & Retrieval: Architect hybrid retrieval systems (BM25, vector search, RRF) using ESRE and Jina AI. Build data ingestion pipelines across Confluence, Jira, GitHub, and ServiceNow to improve answer quality.
• Infrastructure & MLOps: Oversee the full model lifecycle—from fine-tuning to deploying scalable APIs on Kubernetes—across major cloud providers (AWS, Azure, GCP).
• Optimization & Observability: Own token efficiency, latency, and cost management. Implement end-to-end tracing (OpenTelemetry) and evaluation pipelines to measure performance.
• Multi-Model Orchestration: Design and operate LLM gateway architectures for routing, fallback, spend control, and governance across multiple model providers.
• Protocol & Tool Architecture: Define multi-agent patterns, state management, tool contracts, and handoff logic for enterprise workflows. Demonstrate working knowledge of MCPs and modern agent tool-discovery patterns.
• Governance & Reliability: Design robust agents with retries, scoped permissions, and audit trails to ensure secure, reliable execution in a business tech stack.

What You Bring

• Advanced Agentic Expertise: Proven track record of building production-grade agents and RAG systems using frameworks like LangGraph/LangSmith.
• Technical Proficiency: Mastery of Python and TypeScript; deep experience with PyTorch, TensorFlow, or Hugging Face.
• Elasticsearch Mastery: Deep knowledge of ESRE, vector indexing (HNSW), and relevance tuning.
• System Design Intuition: Strong ability to balance the trade-offs between latency, cost, and response quality across multi-model environments (OpenAI, Anthropic, Vertex AI).
• Cloud & Scaling: Extensive experience with Kubernetes and managing high-concurrency cloud infrastructure.
• Strategic Ownership: A "builder" mindset with the ability to translate complex business needs into technical roadmaps and influence senior stakeholders.

• Education & Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Proven experience in developing generative AI models, including Natural Language Processing (NLP) or computer vision models.
  • Proficiency in deep learning frameworks such as Microsoft Cognitive Services, TensorFlow, PyTorch, or Hugging Face Transformers.
  • Strong knowledge of cloud platforms and services (e.g., AWS, Azure, GCP).
  • Experience with containerization and orchestration (e.g., Docker, Kubernetes).
  • Knowledge of DevOps practices for model deployment and automation.
  • Strong problem-solving skills and the ability to work in a dynamic and fast-paced environment.
  • Excellent communication and collaboration skills.
  • A commitment to Ethical AI and responsible development practices.

#LI-JM5

What is The Role

We're looking for a Senior Software Engineer to join the Elasticsearch - Search team. This globally-distributed team of expert engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene. This is a senior software engineering role that focuses on enhancing the vector and keyword search functionality within Elasticsearch, covering the design and implementation of new search features, enhancements to existing search functionality, and resolving bugs.

Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements.

What You Will Be Doing

• Contribute to Elasticsearch full time, building new search features and fixing intriguing bugs, all while making the code easier to understand. Sometimes you'll need to invent a new algorithm or data structure. Or find one and implement it. Sometimes you'll need to get close to the operating system and hardware.
• Work with a globally distributed team of experienced engineers focused on the search capabilities of Elasticsearch.
• Be an expert on Elasticsearch search relevance. You'll identify and drive improvements in this area based on your questions and your instincts.
• Work with community members from all over the world on issues and pull requests, sometimes triaging them and handing them off to other experts and sometimes handling them yourself.
• Write idiomatic modern Java -- Elasticsearch is 99.8% Java!

What You Bring 

• Professional experience with search and vector databases, and you used HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale.
• You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as other features like lambdas.
• You work with a high level of autonomy, and are able to take on projects and guide them from beginning to end. This covers both technical design and working with other engineers to develop needed components.
• You're comfortable developing collaboratively. Giving and receiving feedback on code and approaches and APIs is hard! Bonus points if you've collaborated over the internet because that's harder. Double bonus points for asynchronous collaboration over the internet. That's even harder, but we do it anyway because it's the best way we know how to build software.
• You've used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and have some idea how they work and why they work that way.
• You have excellent verbal and written communication skills. Like we said, collaborating on the internet is hard. We try to be respectful, empathetic, and trusting in all of our interactions. And we'd expect that from you too.

Bonus Points

• You've built things with Elasticsearch before.
• You’ve worked on data storage technology.
• You've worked with open source projects and are familiar with different styles of source control workflow and continuous integration.
• You have experience designing, leading and owning cross-functional initiatives

What Is The Role:

We are on the lookout for a Senior Software Developer to join our Elasticsearch - Distributed Systems team and focus on how Elasticsearch provides scale, performance, and resilience. This team owns how nodes in an Elasticsearch cluster communicate, and how data are indexed, allocated, and replicated across nodes. 

What You Will Be Doing:

• Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines.
• Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole.
• Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today
• Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions.
• Supporting our support engineers with the harder problems.

What You Bring:

• A strong background in distributed systems and consensus algorithms.
• You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer language features.
• You have a deep technical proficiency in algorithms.
• You have shown your ability to understand and work on complex, highly distributed systems.
• You demonstrate the ability to build and debug features with a broad impact, running on multiple machines.
• You are able to own projects from beginning to end. This covers both technical design and working with others to develop needed components.

Bonus Points:

• Data stores
• Search, analytics, Lucene
• Strong knowledge of the JDK
• Asynchronous event-driven network frameworks such as Netty

What Is The Role:

As part of the Platform Engineering department, the Traffic team is crafting, building, and improving the multi-cloud platform at scale for Elastic Cloud Hosted and Serverless. We grow and mature our distributed network services and solutions for multiple cloud service provider platforms. We are built on Kubernetes, Go/Scala, and custom orchestration architectures. In your daily life with us, you will participate in coding, innovating technical designs, crafting solutions, improving resilience, and prioritizing security, bug fixes, and features. For example, Debugging Azure Networking for Elastic Cloud Serverless is part of our efforts, and we want your experience to contribute to a truly exceptional customer experience!

What You Will Be Doing:

• Taking an engineering approach in leading technical initiatives for automating network engineering efforts to guarantee the reliability of the global Elastic infrastructure. .
• Growing our global Platform infrastructure to meet the increasing scaling demands by developing and maintaining software, codebases, tooling and automations.
• Collaborating in an environment with an inclusive approach, and focusing on operational perfection which uplifts others.
• Preventing repeated customer impact in response to major incidents and prioritised problem management. Our on call rotation is spread well, and we address complex customer concerns too.

What You Bring:

• 10+ years in Software Engineering with product success in delivering Cloud network solutions. You collaborate with engineers as an authority in identifying, implementing and delivering solutions. Experience in public cloud, Go and managed Kubernetes services is advantageous.
• Success and lessons of experiences from striving for 'progress not perfection' in the name of Platform reliability. We want to hear about your customer first approach in solving operational problems for both today and the future.
• Passion for developing solutions that involve inclusive communication methods to grow and strengthen partner and team relationships. Examples of working in distributed teams or working remotely is desirable.

Bonus Points:

You don't need to have all of these items, but these represent the types of work you will do as a Software Engineer at Elastic.

• You have designed and built a SaaS product in a public cloud ideally built using Infrastructure-as-Code tooling such as Crossplane or Terraform
• You have built Kubernetes-at-scale infrastructure, ideally across multiple cloud providers, and the vital automation to support it.
• You have written product features or functions in Golang or other programming languages.
• You have worked with containerized services (such as Docker.)
• You have proven results in leading and improving cross-team engineering initiatives.
• You have experience in system administration with professional skills in Linux on distributed systems at scale.
• You have diagnosed or designed, implemented and created solutions with the Elastic Stack.
• You are experienced in a self-organizing and sharing in a globally distributed team environment.
• You strengthen team members in bringing out the best of each other by uplifting others with coaching and mentoring.

What is The Role

Elastic's Portfolio Product Marketing team is seeking a Senior Portfolio Product Marketing Manager — one of the  team's primary operators and one of its most consequential hires. Reporting to the Director of Portfolio Product Marketing, this role will transform vision into execution: owning Elastic's portfolio-level story, driving cross portfolio creative initiatives, and ensuring that nothing lives as a strategy deck when it should be in market.
This is a portfolio-level role. You will not own a single product, solution, or use case. You will own the breadth of Elastic's portfilio story — across search, observability, and security — and the narrative platform that ties it together into something the market can understand, remember, and choose.
We are looking for a rare profile: a senior strategist who is also a relentless executor. Someone who has done the work of building positioning and messaging at portfolio scale, who can walk into a room with the CEO and hold their own, and who can write a narrative arc, corporate overview, or keynote storyline with equal facility. You will bring a body of work that demonstrates both the strategic depth and the creative standard this team demands.

What You Will Be Doing

• Portfolio Positioning & Messaging
  - Own Elastic's portfolio-level positioning and messaging — the architecture that spans search, observability, and security and makes the whole greater than the sum of its parts.
  - Develop and maintain the master message platform: the POV, proof points, and category language that PR, AR, sales, and the broader marketing organization draw from.
  - Partner with product marketing, analyst relations, and PR to ensure Elastic's category framing is consistent from analyst briefings to press pitches to sales conversations.
• Go-to-Market Execution
  - Lead the go-to-market narrative for major platform moments — launches, announcements, and strategic pivots — ensuring every asset, audience, and channel touchpoint tells a coherent and compelling story.
  - Serve as the primary operational driver of the Portfolio Product Marketing team: own the editorial calendar, manage cross-functional workstreams, and move projects from brief to delivery with pace and precision.
  - Partner with demand generation to ensure campaigns are anchored in the right portfolio narrative and carry a creative standard that builds brand alongside pipeline.
  - Develop sales enablement materials — narratives, positioning frameworks, competitive guides — that give the field the story and the tools to win.
• Storytelling & Creative
  - Build and own the portfolio-level story: origin, differentiation, vision, and the human context that makes Elastic's platform feel distinct and worth choosing.
  - Reimagine customer stories from metric summaries into genuine narratives — the kind that make other organizations want what those customers have.
  - Develop thought leadership content and executive POV that earns attention from technical decision-makers and executives and earns Elastic a seat in conversations it is not yet part of.
  - Set and uphold the creative standard for everything the team produces — from keynote narrative to campaign concept to long-form content.
• Executive & Cross-functional Engagement
  - Work directly with Elastic's senior leadership to develop and refine the executive POV platform — the perspectives, proof points, and frameworks that make the CEO and senior leaders genuinely compelling in press interviews, analyst briefings, and on stage.
  - Build and maintain trusted relationships across product, engineering, sales, demand generation, PR, AR, and events — operating with influence rather than authority and getting great work done through collaboration.
  - Present strategy and creative recommendations to executive stakeholders with clarity, confidence, and conviction.

What You Bring 

• 8+ years of product marketing experience in B2B technology, with meaningful time at the platform or portfolio level — you have owned a platform narrative, not just supported one
• A demonstrable track record of building positioning and messaging that changed how a market described a company or a category
• Exceptional storytelling ability — on paper, on stage, and in the room — with a portfolio of work that shows both strategic rigor and creative ambition (candidates will be asked to submit a portfolio / examples of past work)
• Proven ability to work directly with executive leadership: developing their POV, preparing them for high-stakes engagements, and holding your own in senior-level conversations
• Strong cross-functional operating instincts — you know how to build influence without authority and how to move fast through organizations that are complex
• Deep fluency in data, search, AI, and enterprise technology — you understand what customers are building with these tools and why it matters at a business level
• An execution-first orientation: you are the person who makes things happen, not the person who documents the plan and waits for others to act

Bonus Points

• Building or contributing to a brand narrative or messaging platform from the ground up
• Working in or alongside a creative strategy, brand, or corporate communications function
• Developing keynote narratives or executive presentation content for large-scale industry events
• Competitive strategy or analyst relations in enterprise infrastructure, data, or security markets

At Elastic, we have a simple goal: to solve the world's data problems with products that delight and inspire. As the company behind the popular open-source projects — Elasticsearch, Kibana, Logstash, and Beats — we help people around the world do great things with their data. From stock quotes to Twitter streams, Apache logs to WordPress blogs, our products are extending what's possible with data, delivering on the promise that good things come from connecting the dots. The Elastic family unites employees across 40+ countries into one coherent team, while the broader community spans across over 100 countries.

What is The Role

The Elastic IT team is moving beyond simple chat to the next frontier: Agentic Workflows. We are looking for an innovative Elastic AI Engineer to join our team to build autonomous, enterprise-grounded agents that don't just answer questions—they complete complex business tasks to accelerate productivity across the entire organization.

The ideal candidate is an Elastic product expert (including but not limited to Agent Builder and Workflows), using the full power of the Elastic Stack to provide the "brain" and "memory" for our agentic ecosystem.

Are you ready to build the agents that supercharge enterprise efficiency? Join us to enable agentic workflows that turn collective knowledge into instant action, empowering everyone at Elastic to achieve more. 

What You Will Be Doing:

• Agentic Strategy & Design: Invent and implement sophisticated agentic workflows that use reasoning and tools to complete end-to-end business processes.
• Enterprise Grounding: Apply Retrieval Augmented Generation (RAG) and the Elasticsearch Relevance Engine (ESRE) to ensure agents are deeply grounded in enterprise knowledge for high-accuracy task completion.
• AI Model & Tool Integration: Develop and fine-tune LLMs and integrate them with internal APIs and third-party SaaS tools to enable autonomous action.
• Scalable Infrastructure: Firm understanding of cloud-based environments (AWS, Azure, GCP) in order to support the high-concurrency demands of enterprise agents.
• Lifecycle Management: Oversee the training, deployment, and performance optimization of agents, ensuring they remain secure, reliable, and compliant.
• Technical Leadership: Act as a domain expert on the Elastic Stack, making technical recommendations that push the boundaries of AI-driven productivity.
• Documentation: Maintain comprehensive documentation of AI workflows, cloud infrastructure, and deployment processes.
• Security: Implement standards for security and data privacy to protect sensitive information and ensure compliance with relevant regulations.

What you bring:

• 3-5 years of work experience in a relevant field.
• Minimum 1 year experience building with the Elastic Stack.
• Knowledge of Elasticsearch Relevance Engine (ESRE), Jina AI, and advanced RAG patterns is critical.
• Proven success in delivering independent GenAI projects, specifically those involving autonomous task completion or complex workflow automation.
• Agentic Frameworks: Familiarity with LangGraph, LangChain, and LangSmith for building and debugging multi-agent systems.
• Expertise in Enterprise Agentic & Workflow Platforms: Deep familiarity with leading agentic AI and workflow automation platforms (such as Microsoft Copilot Studio, Salesforce Agentforce, ServiceNow AI Agents.)
• Market Trend Integration: Proven ability to apply emerging market trends—such as Multi-Agent Orchestration and Model Context Protocol (MCP)—to build high-impact, cost-optimized solutions that scale across the enterprise.
• Programming: Experience with Python or TypeScript for backend logic and agent orchestration.
• Cloud & Orchestration: Familiarity with Kubernetes (Operators/Controllers), Docker, and Terraform for automated deployment.
• Model Expertise: Hands-on experience with LLM providers.

Bonus Points

• Bachelor’s or Master’s degree in Computer Science or a related engineering field.
• Strong communication skills with the ability to translate business requirements into technical agent architectures.
• A commitment to Ethical AI and responsible development practices.
• Experience with containerization and orchestration (e.g., Docker, Kubernetes).
• Knowledge of DevOps practices for model deployment and automation.

#LI-JM5

What Is The Role:

We are on the lookout for a Senior Software Developer to join our Elasticsearch - Distributed Systems team and focus on how Elasticsearch provides scale, performance, and resilience. This team owns how nodes in an Elasticsearch cluster communicate, and how data are indexed, allocated, and replicated across nodes. 

What You Will Be Doing:

• Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines.
• Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole.
• Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today
• Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions.
• Supporting our support engineers with the harder problems.

What You Bring:

• A strong background in distributed systems and consensus algorithms.
• You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer language features.
• You have a deep technical proficiency in algorithms.
• You have shown your ability to understand and work on complex, highly distributed systems.
• You demonstrate the ability to build and debug features with a broad impact, running on multiple machines.
• You are able to own projects from beginning to end. This covers both technical design and working with others to develop needed components.

Bonus Points:

• Data stores
• Search, analytics, Lucene
• Strong knowledge of the JDK
• Asynchronous event-driven network frameworks such as Netty

What Is The Role:

As part of the Platform Engineering department, the Traffic team is crafting, building, and improving the multi-cloud platform at scale for Elastic Cloud Hosted and Serverless. We grow and mature our distributed network services and solutions for multiple cloud service provider platforms. We are built on Kubernetes, Go/Scala, and custom orchestration architectures. In your daily life with us, you will participate in coding, innovating technical designs, crafting solutions, improving resilience, and prioritizing security, bug fixes, and features. For example, Debugging Azure Networking for Elastic Cloud Serverless is part of our efforts, and we want your experience to contribute to a truly exceptional customer experience!

What You Will Be Doing:

• Taking an engineering approach in leading technical initiatives for automating network engineering efforts to guarantee the reliability of the global Elastic infrastructure. .
• Growing our global Platform infrastructure to meet the increasing scaling demands by developing and maintaining software, codebases, tooling and automations.
• Collaborating in an environment with an inclusive approach, and focusing on operational perfection which uplifts others.
• Preventing repeated customer impact in response to major incidents and prioritised problem management. Our on call rotation is spread well, and we address complex customer concerns too.

What You Bring:

• 10+ years in Software Engineering with product success in delivering Cloud network solutions. You collaborate with engineers as an authority in identifying, implementing and delivering solutions. Experience in public cloud, Go and managed Kubernetes services is advantageous.
• Success and lessons of experiences from striving for 'progress not perfection' in the name of Platform reliability. We want to hear about your customer first approach in solving operational problems for both today and the future.
• Passion for developing solutions that involve inclusive communication methods to grow and strengthen partner and team relationships. Examples of working in distributed teams or working remotely is desirable.

Bonus Points:

You don't need to have all of these items, but these represent the types of work you will do as a Software Engineer at Elastic.

• You have designed and built a SaaS product in a public cloud ideally built using Infrastructure-as-Code tooling such as Crossplane or Terraform
• You have built Kubernetes-at-scale infrastructure, ideally across multiple cloud providers, and the vital automation to support it.
• You have written product features or functions in Golang or other programming languages.
• You have worked with containerized services (such as Docker.)
• You have proven results in leading and improving cross-team engineering initiatives.
• You have experience in system administration with professional skills in Linux on distributed systems at scale.
• You have diagnosed or designed, implemented and created solutions with the Elastic Stack.
• You are experienced in a self-organizing and sharing in a globally distributed team environment.
• You strengthen team members in bringing out the best of each other by uplifting others with coaching and mentoring.

What Is The Role

Elastic, the Search AI company, is looking for a high-energy Commercial Account Executive to drive net-new revenue and expansion within strategic Commercial accounts. You’ll be the owner of a defined territory where you’ll build your own pipeline, tell the Elastic Search AI story, and close complex, multi-stakeholder deals in a consumption-based model. This role sits at the intersection of sales execution, technical fluency, and cross-functional collaboration—and is critical to our growth in the Enterprise segment.

What You Will Be Doing

• Own your territory & build pipeline: Develop and execute a proactive outbound cadence (email, call, social) that generates ≥50 % of your booked opportunities.

• Deep discovery & qualification: Uncover pain, business impact, budget, and decision criteria using frameworks like MEDDPICC so you chase only the highest-confidence deals.

• Value storytelling & demos: Craft and deliver tailored narratives and live demos that map Elastic’s Search, Observability, and Security capabilities to measurable business outcomes.

• Mutual deal strategy & forecast accuracy: Collaborate with customers to build formal close plans and keep your CRM up-to-date, maintaining ≥90 % forecast accuracy within ±10 %.

• Executive negotiation & closing: Lead high-stakes contract and pricing discussions—defend your value, structure give/get trades, and land multi-year consumption commitments.

• Domain & cloud acumen: Position Elastic as the Search AI platform of choice by speaking fluently about cloud economics, usage-based pricing, and modern data architectures.

• Cross-functional partnership: Work hand-in-glove with Solutions Architects, Customer Success, Marketing, and RevOps to accelerate deals and drive exceptional customer outcomes.

What You Bring

• Proven SaaS quota‐carrying success: 5+ years closing complex Enterprise deals, consistently overachieving targets in a consumption-based or usage-model environment.

• Expert discovery & qualification skills: Demonstrated ability to apply MEDDPICC or equivalent frameworks to drive disciplined pipeline and eliminate low-probability deals.

• Compelling value storytellers: Track record of delivering executive-level presentations and demos that tie product capabilities to real dollars saved, revenue gained, or risk mitigated.

• Strong negotiation chops: History of landing multi-year, high-ACV contracts while protecting margin and securing executive stakeholder buy-in.

• Technical & cloud fluency: Comfortable discussing a broad range of technical topics including observability, security, vector/traditional search, and cloud cost optimization.

• Collaborative mindset & coachability: A learner who partners effectively with internal teams, incorporates feedback, and embodies Elastic’s values of community and openness.

• Open Source enthusiasm: Genuine appreciation for open-source communities and the Elastic model—bonus if you’ve sold or advocated in an OSS context.

Bonus Points

• Prior experience at an open-source or developer‐centric infrastructure company.

• Familiarity with observability (logs, metrics, traces) or security analytics (SIEM/XDR) use cases.

If you’re driven to build your own pipeline, master complex deal cycles, and help customers unlock the power of Search AI, we’d love to talk. Apply today!

#LI-AM2

What Is The Role :

Elastic is seeking a Principal Competitive Intelligence Manager to join its Product Marketing organization, focusing on Search. This role is pivotal in analyzing the competitive landscape and providing actionable insights to enhance go-to-market strategies. The successful candidate will collaborate with various teams to position Elastic's offerings effectively against competitors, ensuring the organization remains competitive in a dynamic market.

The ideal candidate brings a strong mix of technical, business and communication ability, particularly in the Search market. You have a deep understanding of Search solutions including the users and buyers of those products. You thrive in ambiguity, think critically, and can dive deep to deliver valuable insights. You excel at communicating across levels, from technical experts to senior executives, and are skilled at turning data into impactful messaging for different audiences.

What You Will Be Doing :

• Build and implement an effective competitive intelligence program for Search, including in-depth analysis of competitors' products, services, pricing, packaging, marketing strategies and financial performance.
• Create clear, compelling, fact-based internal and external enablement materials - battlecards, bulletins, training, comparisons for blogs/websites - that tells the story behind Elastic product and technology differentiation, creating sales and solution engineering confidence.
• Track, analyze, and communicate competitive developments, providing timely responses to market changes and competitor actions.
• Develop and deliver compelling proof points and external blogs and web pages to communicate competitive differentiation.
• Collaborate on the Win/Loss program, participating in W/L interviews and analyzing data to advise sales strategies and product decisions.
• Maintain a deep understanding of the search market, including market trends, competitive dynamics and SWOT evaluations.
• Effectively collaborate with product marketing, product management, and sales to craft competitive positioning strategies for new products and features.
• Participate in industry events to monitor trends and advise on competitive shifts.

What You Bring :

• Understanding of the Search market, key players, technologies and trends.
• Proven success in roles such as sales engineering, technical marketing, or competitive analysis, within the search industry.
• Strong technical and analytical skills to assess competitive solutions, features and strategies and propose effective responses.
• Experience translating technical features into compelling business value for diverse audiences.
• Ability to build relationships and work optimally with teams across the company, including sales, marketing, engineering, and leadership.
• Excellent communication skills—verbal, written, and visual—to share competitive insights and strategies effectively.
• Background in engineering, computer science, or equivalent experience is helpful but not required.

What is The Role

Our Marketing organization is building an AI-powered intelligence system to drive strategy, insights, and revenue. We are looking for a Principal Analytics Engineer to lead the design and build of this foundation. This role is about more than just writing code—it’s about creating the semantic blueprint for how Elastic understands and interacts with its business data.

You will synthesize complex data streams into a unified, high-fidelity system that serves as the "source of truth" for the entire customer journey. By engineering a structured knowledge layer, you will enable Elastic to scale Go-To-Market (GTM) efforts in a world where data must be optimized for human reporting, predictive science, and conversational AI alike.

What You Will Be Doing

• Architect the Foundation: Design and build the core BigQuery and dbt infrastructure that powers Elastic’s marketing intelligence, transforming raw signals into high-fidelity, agent-ready data products.
• Enable AI & Agents: Develop the semantic layer and structured knowledge base that allows AI agents to accurately "talk" to our business data and reason through complex performance questions.
• Map the Journey: Integrate disparate signals across digital, product, and sales into a unified lifecycle model that tracks the customer’s path from discovery to revenue.
• Scale through Partnerships: Partner with Enterprise, Product, Sales, and Finance teams to align on shared metrics while mentoring other engineers to uphold high standards for our data foundation.

What You Bring

• Data-as-a-Product: You treat data as a high-value product. You are dedicated to the user experience of data—ensuring it is discoverable and reliable for both human teammates and AI agents.
• Technical Proficiency: Deep experience with BigQuery, dbt, and semantic layers (e.g., dbt Semantic Layer, Vortex AI). You have a proven ability to apply automation or LLM-assisted workflows to the data modeling lifecycle.
• Architectural Design: Ability to build complex, interconnected systems by starting with the desired outcome and working backward. You enjoy creating extensible frameworks that empower others to innovate.
• Systems & Design Thinking: The ability to look at a complex web of data and see the underlying architecture required to make it simple and extensible.
• Collaborative Communication: A track record of "translating" technical debt into business value and coaching peers through complex architectural hurdles.
• Operational Excellence & Governance: You treat data as infrastructure. You have deep experience implementing data contracts, automated quality monitoring (DQM), and governance frameworks that ensure metrics remain consistent, secure, and reliable across the enterprise.

Bonus Points

• GTM Fluency: A strong understanding of Go-To-Market mechanics—knowing how technical data structures translate into business-critical concepts like customer acquisition, attribution, and revenue.
• Marketing Science Foundations: Familiarity with Marketing Mix Modeling (MMM), causality, or incrementality analysis to help the business understand the true ROI of different channels.
• Privacy & Ethics: Understanding of GDPR/CCPA compliance and how to manage data privacy and consent within a marketing stack, especially when training AI models.
• Identity Resolution: Proven experience with Identity Stitching or Customer 360 frameworks to unify anonymous digital signals with known customer records.
• AI Production Scaling: Experience moving AI models or agentic workflows from experimental pilots into standardized, production-level deployments.

#LI-JM5

What is the Role

At Elastic, our ecosystem is central to how we grow. The Partner Marketing team drives how we market with, to, and through our partners—creating scalable, repeatable programs that enable co-marketing across Elastic’s ecosystem.

We are seeking a Partner Marketing Program Specialist to support the execution of co-marketing programs at scale. This role focuses on turning established strategy into action—supporting repeatable campaigns, partner-ready assets, and execution frameworks that enable consistent global delivery.

This is a hands-on execution role that requires excellent judgment, cross-functional collaboration, and the ability to manage complex workstreams within defined frameworks.

What You Will Be Doing

Implement Scaled Co-Marketing Programs

• Support the execution of global and regional co-marketing initiatives across Elastic’s partner ecosystem.
• Coordinate timelines, assets, approvals, and partner inputs to ensure programs launch on time and at scale.
• Apply judgment within established processes to adapt execution based on partner and regional needs.

Support Scalable Program Frameworks

• Implement programs and assets developed through the Center of Excellence, including campaigns-in-a-box and event frameworks.
• Help maintain consistency and quality across partner-facing materials and activations.
• Identify execution gaps and contribute recommendations for improvement.

Program Management & Operations

• Track program status, dependencies, and risks; proactively surface issues and recommend solutions.
• Support measurement and reporting on program adoption, engagement, and performance.
• Maintain documentation and operational processes that enable repeatable execution.

Cross-Functional Collaboration

• Work closely with Partner Marketing leadership, regional teams, and cross-functional stakeholders to support aligned execution.
• Build productive working relationships internally and externally.

Seek out and incorporate diverse perspectives to strengthen outcomes.

What You Bring

• 3–5 years of experience in marketing programs, partner marketing, or campaign execution
• Experience coordinating multi-stakeholder marketing activities
• Strong organizational and communication skills
• Ability to manage multiple tasks and deadlines
• Experience working within defined processes
• Demonstrated attention to detail when supporting budgets, contracts, and purchase orders
• Availability for occasional travel as needed

What is the Role

Elastic’s Partner Marketing team supports programs and experiences that help partners engage customers and support adoption of Elastic solutions. These programs include partner events, briefings, and special initiatives that require coordination, attention to detail, and consistent execution.

We are looking for a Partner Marketing Program Associate to assist with the planning, coordination, and execution of partner experiences and partner marketing programs. This role works closely with partner marketing team members and cross-functional teams to support high-quality partner-facing activities.

What You Will Be Doing

Programs & Experiences

• Support execution of partner experiences, including events, briefings, and partner activities
• Assist with preparation of agendas, materials, and follow-up activities
• Help ensure partner programs are delivered on schedule and meet quality standards

Coordination & Execution

• Support coordination of timelines, deliverables, and inputs across teams
• Maintain trackers, documentation, and program status updates
• Assist with logistics, scheduling, and task follow-through

Collaboration & Communication

• Work closely with partner marketing team members and internal stakeholders
• Share updates and raise questions when clarification is needed
• Apply feedback to improve accuracy and consistency of work

What You Bring

• 1–3 years of experience in marketing, events, program coordination, or a related role
• Experience supporting customer-facing or partner-facing activities
• Strong organizational skills and attention to detail
• Ability to complete assigned tasks within defined timelines
• Clear written and verbal communication skills
• Ability to work collaboratively across teams
• Demonstrated attention to detail when supporting budgets, contracts, and purchase orders
• Availability for occasional travel as needed

What Is The Role
Elastic, the Search AI company, is looking for a high-energy Enterprise Account Executive to drive net-new revenue and expansion within strategic Enterprise accounts. You’ll be the owner of a defined territory where you’ll build your own pipeline, tell the Elastic Search AI story, and close complex, multi-stakeholder deals in a consumption-based model. This role sits at the intersection of sales execution, technical fluency, and cross-functional collaboration—and is critical to our growth in the Enterprise segment.

What You Will Be Doing

• Own your territory & build pipeline: Develop and execute a proactive outbound cadence (email, call, social) that generates ≥50 % of your booked opportunities.

• Deep discovery & qualification: Uncover pain, business impact, budget, and decision criteria using frameworks like MEDDPICC so you chase only the highest-confidence deals.

• Value storytelling & demos: Craft and deliver tailored narratives and live demos that map Elastic’s Search, Observability, and Security capabilities to measurable business outcomes.

• Mutual deal strategy & forecast accuracy: Collaborate with customers to build formal close plans and keep your CRM up-to-date, maintaining ≥90 % forecast accuracy within ±10 %.

• Executive negotiation & closing: Lead high-stakes contract and pricing discussions—defend your value, structure give/get trades, and land multi-year consumption commitments.

• Domain & cloud acumen: Position Elastic as the Search AI platform of choice by speaking fluently about cloud economics, usage-based pricing, and modern data architectures.

• Cross-functional partnership: Work hand-in-glove with Solutions Architects, Customer Success, Marketing, and RevOps to accelerate deals and drive exceptional customer outcomes.

What You Bring

• Proven SaaS quota‐carrying success: 5+ years closing complex Enterprise deals, consistently overachieving targets in a consumption-based or usage-model environment.

• Expert discovery & qualification skills: Demonstrated ability to apply MEDDPICC or equivalent frameworks to drive disciplined pipeline and eliminate low-probability deals.

• Compelling value storytellers: Track record of delivering executive-level presentations and demos that tie product capabilities to real dollars saved, revenue gained, or risk mitigated.

• Strong negotiation chops: History of landing multi-year, high-ACV contracts while protecting margin and securing executive stakeholder buy-in.

• Technical & cloud fluency: Comfortable discussing a broad range of technical topics including observability, security, vector/traditional search, and cloud cost optimization.

• Collaborative mindset & coachability: A learner who partners effectively with internal teams, incorporates feedback, and embodies Elastic’s values of community and openness.

• Open Source enthusiasm: Genuine appreciation for open-source communities and the Elastic model—bonus if you’ve sold or advocated in an OSS context.

Bonus Points

• Prior experience at an open-source or developer‐centric infrastructure company.

• Familiarity with observability (logs, metrics, traces) or security analytics (SIEM/XDR) use cases.

If you’re driven to build your own pipeline, master complex deal cycles, and help customers unlock the power of Search AI, we’d love to talk. Apply today!

#LI-AM2

• Design and implement highly scalable backend services, data pipelines, and integration endpoints that perform reliably at high volume
• Gather product and engineering requirements; write design documents and drive technical discussions to align cross-functional stakeholders
• Drive and lead the full software development lifecycle: product requirements, architecture, solution design, development, quality assurance, and maintenance
• Build systems with observability as a first-class concern proper monitoring, alerting, and dashboards so issues are caught before customers notice
• Mentor others on best practices and effectively share knowledge across the engineering team
• Communicate development progress clearly to product leads, engineering managers, and other stakeholders
• Be comfortable introducing new technologies and new ideas as required, including AI tools that accelerate your workflow and the team’s
• Navigate ambiguity and roadblocks proactively when a project hits a wall, you find a path forward and maintain cadence
• Work effectively as part of a large global team, attending scrum ceremonies, team events, and manager 1:1s
• Provide and respond to technical and behavioral feedback from managers and peers in written and verbal form

• Proactively acts without being told what to do; identifies areas for improvement and drives best practices to deliver high-quality, performant, and scalable solutions
• Develops services that are highly available and scalable with proper monitoring and alerting in place
• Able to up-level the team by sharing knowledge and best practices across the engineering organization
• Able to deal with ambiguity and maintain momentum on projects even when hitting obstacles months in
• Full ownership of projects from start to finish because deployment is not the finish line
• Organized and able to effectively plan and break down large projects into smaller tasks that are easier to estimate and deliver
• Listens actively and seeks to understand others’ viewpoints before responding
• A creative and innovative problem solver with previous experience working in an agile, startup environment
• Confident in owning your role and bringing creative ideas to the hands of users
• AI-native working style: habitually leverages AI tools across coding, debugging, review, and documentation, and stays current with emerging capabilities

• Minimum 5 years of industry experience in backend development, at least 1-2 years in senior positions, developing large-scale applications
• Experience developing distributed web applications at scale
• Code that is comprehensible, well-structured, and highly performant
• Experience with database modeling (SQL or NoSQL)
• Experience using and designing RESTful services
• Strong knowledge of computer science fundamentals, including data structures, algorithms, and object-oriented design
• Proven experience leveraging AI tools to enhance software development processes, including code generation, debugging, and productivity optimization, with a willingness to stay current with emerging AI technologies
• Background in fast-scaling startup or high-velocity environments where going beyond your job title was the norm

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.

Where you’ll work

This role will be based in our Vancouver Office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday.

As a perk, we also have up to four weeks per year of fully remote work!

What you’ll do

This opportunity is on our Product Data Platform (PDP) team, which builds and operates the high-performance data, query, and search infrastructure that powers critical Brex product experiences. PDP’s mission is to make Brex customizable, scalable, and reliable for finance teams, and that requires deeply optimized, production-grade backend systems.

As a Senior Software Engineer, you’ll work on data-intensive, distributed systems at scale. You’ll lead architectural and performance improvements across the platform, driving better latency, correctness, and scalability across multiple product surfaces. PDP also builds AI-powered data products, including an agentic reporting experience that enables customers to interact with their financial data in dynamic, intelligent ways. Your work ensures these systems are fast, reliable, and built to scale.

Responsibilities:

• Analyze and optimize complex query plans, execution paths, cost models, joins, and indexing strategies.
• Drive schema and access-pattern improvements to resolve systemic performance bottlenecks.
• Debug and remediate P95/P99 latency issues under load in production systems.
• Design and operate distributed systems with thoughtful tradeoffs around consistency, latency, caching, and failure modes.
• Evaluate existing architectures to proactively identify scaling risks and long-term reliability gaps.
• Implement and improve caching strategies, read/write separation, and replica usage.
• Contribute to and improve backend systems primarily in the JVM ecosystem (Kotlin/Java).
• Raise the technical bar through thoughtful design reviews and clear communication of tradeoffs.

Requirements:

• 7+ years of backend engineering experience building and operating production systems at scale.
• Experience building platforms or infrastructure used by real customers.
• Strong communication skills and ability to collaborate cross-functionally.
• Deep hands-on experience with relational databases (Postgres or Aurora strongly preferred)
• Strong expertise in query plan design and analysis, indexing strategies, and real-world database optimization.

Bonus:

• Hands-on experience with OpenSearch / Elasticsearch or similar systems in production
• Experience with multi-tenant or data-heavy platforms.

Compensation:

• The expected salary range for this role is $192,000 - $240,000 CAD + equity. 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.

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

Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi, an early member of Open AI.

Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta.

About the role:

The QM & Coaching Team at Cresta is vital for our post-call intelligence products. Our core mission is to utilize Large Language Models (LLMs) and advanced AI techniques to transform conversations into actionable intelligence, streamlining the process of agent performance review and coaching. We build systems that deeply analyze agent behaviors, delivering structured insights into their performance and pinpointing critical areas for improvement. Through AI-powered exploration and interactive workflows, our work empowers organizations to leverage data-driven decisions and enhance the overall customer experience.

As a Senior Fullstack Engineer, you’ll play a key role in building and scaling the no-code platform that powers Cresta’s processing capabilities. This platform empowers non-technical users to configure conversation workflows, apply automation without writing code. You will work across the stack—from building intuitive UIs to robust backend services—enabling customers to unlock value from conversations quickly and flexibly.

You’ll partner with designers, product managers and AI/ML teams to turn complex requirements into delightful and performant product experiences. You’ll also help shape the future of our no-code architecture, ensuring it scales with our product and customer base.

Responsibilities: 

• Design, develop, and maintain end-to-end features for Cresta’s no-code processing platform.
• Build intuitive UI components and visual editors for configuring conversation logic and workflows.
• Architect and implement backend services and APIs to power a dynamic no-code interface.
• Work closely with ML engineers to expose conversation intelligence in an accessible and configurable way.
• Develop data models and storage layers using Postgres, ClickHouse, and Elasticsearch.
• Identify areas for performance improvements and scalability in both frontend and backend systems.
• Ensure reliability, security, and maintainability across the full technology stack.
• Participate in design discussions, code reviews, and continuous integration processes.

Qualifications: 

• Proven experience as a Senior Fullstack Engineer, with strong frontend and backend contributions to no-code or low-code platforms.
• Deep understanding of modern frontend technologies (React, TypeScript, etc.) and design patterns for building complex UIs.
• Backend expertise in Python, Go, or similar languages; experience with RESTful APIs and microservices architecture.
• Strong foundation in database systems and data modeling; hands-on experience with Postgres, ClickHouse, or Elasticsearch is a plus.
• Experience building platforms or tools for non-technical users, especially in AI/ML, automation, or workflow spaces.
• Familiarity with managing state, execution logic, or visual programming paradigms is a bonus.
• Strong collaboration and communication skills—able to work effectively across product, design, and engineering teams.
• Passion for building systems that simplify complex problems and empower users.

Perks & Benefits:

We offer a comprehensive and people-first benefits package to support you at work and in life:

• Comprehensive medical, dental, and vision coverage with plans to fit you and your family
• Flexible PTO to take the time you need, when you need it
• Paid parental leave for all new parents welcoming a new child
• Retirement savings plan to help you plan for the future
• Remote work setup budget to help you create a productive home office
• Monthly wellness and communication stipend to keep you connected and balanced
• In-office meal program and commuter benefits provided for onsite employees

Compensation at Cresta: 

Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table.

The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family.

OTE Range: $205,000–$270,000 + Offers Equity

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.  If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai 

Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi, an early member of Open AI.

Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta.

About the role:

The QM & Coaching Team at Cresta is vital for our post-call intelligence products. Our core mission is to utilize Large Language Models (LLMs) and advanced AI techniques to transform conversations into actionable intelligence, streamlining the process of agent performance review and coaching. We build systems that deeply analyze agent behaviors, delivering structured insights into their performance and pinpointing critical areas for improvement. Through AI-powered exploration and interactive workflows, our work empowers organizations to leverage data-driven decisions and enhance the overall customer experience.

As a Senior Fullstack Engineer, you’ll play a key role in building and scaling the no-code platform that powers Cresta’s processing capabilities. This platform empowers non-technical users to configure conversation workflows, apply automation without writing code. You will work across the stack—from building intuitive UIs to robust backend services—enabling customers to unlock value from conversations quickly and flexibly.

You’ll partner with designers, product managers and AI/ML teams to turn complex requirements into delightful and performant product experiences. You’ll also help shape the future of our no-code architecture, ensuring it scales with our product and customer base.

Responsibilities

• Design, develop, and maintain end-to-end features for Cresta’s no-code processing platform.
• Build intuitive UI components and visual editors for configuring conversation logic and workflows.
• Architect and implement backend services and APIs to power a dynamic no-code interface.
• Work closely with ML engineers to expose conversation intelligence in an accessible and configurable way.
• Develop data models and storage layers using Postgres, ClickHouse, and Elasticsearch.
• Identify areas for performance improvements and scalability in both frontend and backend systems.
• Ensure reliability, security, and maintainability across the full technology stack.
• Participate in design discussions, code reviews, and continuous integration processes.

Qualifications

• Proven experience as a Fullstack Engineer, with strong frontend and backend contributions to no-code or low-code platforms.
• Deep understanding of modern frontend technologies (React, TypeScript, etc.) and design patterns for building complex UIs.
• Backend expertise in Python, Go, or similar languages; experience with RESTful APIs and microservices architecture.
• Strong foundation in database systems and data modeling; hands-on experience with Postgres, ClickHouse, or Elasticsearch is a plus.
• Experience building platforms or tools for non-technical users, especially in AI/ML, automation, or workflow spaces.
• Familiarity with managing state, execution logic, or visual programming paradigms is a bonus.
• Strong collaboration and communication skills—able to work effectively across product, design, and engineering teams.
• Passion for building systems that simplify complex problems and empower users.

Perks & Benefits:

• We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs
• Paid parental leave to support you and your family
• Monthly Health & Wellness allowance
• Work from home office stipend to help you succeed in a remote environment
• Lunch reimbursement for in-office employees 
• PTO: 3 weeks in Canada 

Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. We are actively hiring for this role in the US and Canada. Your recruiter can provide further details.

This posting will be used to fill a newly-created role.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.  If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai

ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen—fast.

As a Senior Full Stack Engineer on the Chorus Engagement team, you'll be at the heart of Chorus.ai, ZoomInfo's Conversation Intelligence platform. Chorus processes and analyzes a tremendously large set of sales calls to surface insights that help salespeople perform at their highest level and match the best in the industry. We generate deal insights, risk signals, and next-step recommendations that make Chorus an indispensable tool for any data-driven sales team. You will own customer-facing product areas — from AI-powered tooling to rich data visualizations and charting experiences — working across the full stack and architecting solutions capable of handling millions of customer requests per day. 

Frontend-heavy or backend-heavy, it doesn't matter — as long as you're great at what you do, willing to learn, and comfortable taking on basic tasks outside your primary discipline when needed, there's meaningful work for you here. You'll be surrounded by incredibly smart, talented, and motivated engineers who will push you to define your new best, all working toward ambitious goals that actually move the needle.

What You’ll Do:

• Design, prototype, and deliver customer-facing features across the full stack — from responsive, polished UI components to robust REST APIs and backend services
• Build and iterate on AI-powered tools that make Chorus's vast dataset of sales conversations more digestible and actionable for our users
• Provide technical leadership — contribute to architectural decisions, conduct meaningful code reviews, and help raise the bar for engineers around you
• Work with engineers, designers, and Product Managers to break down roadmap initiatives into well-scoped, executable work
• Test, document, and maintain a codebase that is an example to our engineers and supports the scale of the business

What You Bring:

• 5–10 years of relevant software engineering experience building production web applications
• Strong proficiency in either backend (Python, Node.js) or frontend (React, Angular) development as your primary discipline
• Working knowledge of — or genuine eagerness to learn — the other side of the stack: backend services and APIs, or frontend frameworks and UI development
• Hands-on experience with relational and NoSQL databases: MySQL, MongoDB, DynamoDB
• Familiarity with search technologies: Elasticsearch and/or Solr
• Experience with RESTful API design and backend service development
• Strong interpersonal and communication skills; highly responsible, enthusiastic, and thorough
• Ability to take end-to-end ownership — from problem framing through to production delivery

#LI-SK1

#LI-Remote

Why You’ll Love This Role

Cribl is seeking Technical Support Engineers to ensure customer success by providing enterprise-level support to our customers and partners. We are a fast-growing, remote-first company with a mission to unlock the value of all observability data. At our core, we believe in shipping phenomenal products and doing good by our customers and communities. We provide our customers with a new and unprecedented level of observability, intelligence, and control over their real-time data. We're backed by Sequoia and CRV, and our products are deployed in some of the largest organizations in the world processing 100s of TB and PB of IT & Security data, and managed by Site Reliability Engineers, System Engineers, and Technical Operations teams.

In this role, you will be joining a highly technical and collaborative team that is committed to shipping high quality software and enjoying all the goat gifs the internet has to offer. The ideal candidate for this role has a mixture of strong technical chops, an innate desire to help customers, and a natural affinity for collaboration.

As An Active Member Of Our Team, You Will…

• Develop a deep technical understanding of Cribl Stream and our other products
• Provide extraordinary technical support to our Enterprise customers and across various channels such as Slack, email, online meetings, etc.
• Research, diagnose, troubleshoot and identify solutions to resolve customer issues
• Follow standard procedures for reproducibility and escalation of unresolved issues to the appropriate internal teams
• Provide prompt and accurate feedback to customers, set achievable expectations, and ensure proper recording and closure of all issues
• Provide and document knowledge in the form of knowledge base tech notes, articles and participate in real-time forums (e.g., Slack) for real-time questions
• This position will require stand-by, on-call, or off-hours duties

If You’ve Got It - We Want It

• BS degree in Computer Science or similar degree, or equivalent work experience
• 5+ years' experience supporting enterprise customers or working hands-on with distributed systems
• Passionate about working on complex technical issues
• Expert-level troubleshooting, problem-solving skills, and critical thinking
• Excellent client-facing skills, excellent written and verbal communication skills
• Experience with Linux, AWS, Azure, and Networking
• Bonus Points/Preferred Qualifications:
  
  • Experience with Splunk, Elasticsearch, LogStash and/or other related observability technologies
    Regex and JavaScript experience is a Plus

Salary Range ($90,000 - $141,000)

The salary for this role is dependent on geographic location. The salary offered within the range described will be based on the individual candidate’s job-related knowledge, skills, and experience.  In addition to a competitive salary, Cribl also offers a generous benefits package which includes health, dental, vision, short-term disability, and life insurance, paid holidays and paid time off, a fertility treatment benefit, 401(k), equity, and eligibility for a discretionary company-wide bonus

#LI-KJ1
#LI-Remote

Who You Are

You are self-driven and like to work with others to remove roadblocks. You are curious, and love to explore and learn new technologies. You have demonstrated the ability to build, deploy and maintain large-scale, complex applications. You care more about solutions and impacting the customer experience than using a particular tool or framework.

Your Success Profile

What You Will Work On

• Independently own larged-scoped projects from initial discovery through launch with a focus on outcomes and customer impact
• Collaborate with a cross functional team to find solutions to customer challenges
• Improve the performance, reliability, and scalability of our existing systems
• Promote engineering excellence through technical leadership, knowledge-sharing and mentorship
• Add capabilities to our high-volume, fault-tolerant processing infrastructure
• Enhance our testing, monitoring and continuous deployment infrastructure
• Keep extremely sensitive data compartmentalized and secure

How You Will Do Your Work

As a Senior Software Engineer, how results are achieved is paramount for your success and ultimately result in our success as an organization. In this role, your foundational knowledge, skills, abilities and personal attributes are anchored in the following competencies:

Good judgment - the exercise of critical thinking, analyzing and assessing problems and implications, identifying patterns, making connections of underlying issues, understanding risks and developing mitigation strategies, and taking ownership of the outcome.

Resourcefulness - taking a can-do approach, even in the face of obstacles and constraints by assessing what’s in front of you and effectively and efficiently optimizing what you have, whether it's working on something new or thinking about how to do something better.

Teamwork and communication - putting our collective best together through documentation, collaboration, relationship-building, listening, empathy, recruiting, and evangelism.Influence and leadership - fostering a community of knowledge-sharing, collaboration, mentorship, and forward-thinking.

Skills and knowledge - the capacity to actively learn and apply specific domain knowledge, know-how, and best practices to continually enhance and improve.

In addition, all Justworkers focus on aligning their behaviors to our core values known as COGIS. It stands for:

• Camaraderie - Day to day you can be seen working together toward a higher purpose. You like to have fun. You’re an active listener, treat people respectfully, and have a strong desire to know and help others.
• Openness - Your default is to be open. You're willing to share information, understand other perspectives, and consider new possibilities. You’re curious, ask open questions, and are receptive to thoughts and feedback from others.
• Grit - You demonstrate grit by having the courage to commit and persevere. You’re committed, earnest, and dive in to get the job done well with a positive attitude.
• Integrity - Simply put, do what you say and say what you'll do. You’re honest and forthright, have a strong moral compass, and strive to match your words with your actions while leading by example. 
• Simplicity - Be like Einstein: “Everything should be made as simple as possible, but no simpler.”

Qualifications

• Minimum of 5 years of professional hands-on experience
• Mastery of modern server side languages, Golang is a plus but not required
• Proficiency with SQL
• Proficiency with cloud infrastructure management, preferably AWS
• Experience supporting and mentoring other engineers and acting as a “force multiplier”
• Experience working closely with designers and product managers

Technologies Used

• Golang, Ruby on Rails, Javascript, MySQL, Kafka, AWS, Git, Memcache, Redis, ElasticSearch, Docker, Terraform, Kubernetes, CircleCI, DataDog

The base wage range for this position based in our Toronto office is targeted at $167,500.00 to $235,000.00 CAD per year.

#LI-AD1 #LI-Hybrid #LI-JS1

The Search & Recommendations team builds the search platforms and infrastructure used across Figma. Our team is responsible for providing Figma AI agents with the most relevant context from across the Figma ecosystem—from design system assets to code—in order to complete tasks with high quality and low latency. And, our team maintains features critical to every designer’s workflow, including visual, asset, and file search. We’re an inter-disciplinary team that works across the stack, from training reranking models to managing our feature store platform to keeping our search infrastructure reliable as we scale.

We’re looking for a seasoned engineering leader to support & grow our team, define & execute on our technical strategy, and collaborate with teams across engineering to build cutting-edge AI features.

This is a full time role that can be held from one of our US hubs or remotely in the United States.

What you'll do at Figma:

• Support a team of engineers with skillsets ranging from infrastructure to model development, including hiring and career development.
• Partner with our product engineering, infrastructure, data science, and product management teams to deliver cutting-edge Figma AI features.
• Own the team’s technical strategy, roadmap, and goals.
• Roll up your sleeves as needed to get involved with the technical details and improve execution efficiency.
• Grow your career within an engaged and creative engineering community.
• Build an inclusive, diverse team and culture through hiring, community events, and programs in partnership with teams across Figma.

We’d love to hear from you if you have:

• 4+ years of engineering management experience leading high-performing, fast-moving teams, ideally in the AI space.
• 8+ years of total engineering experience, ideally reaching a staff engineering level as an individual contributor.
• Prior experience building search, recommendation, or AI systems as an engineering manager or individual contributor.
• A proven track record of motivating, mentoring, and guiding experienced AI engineering leads.

While it’s not required, it’s an added plus if you also have:

• Expertise in building and maintaining systems built on top of OpenSearch or ElasticSearch.
• Experience working with LLMs at production scale.

At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

THE ROLE 📝

Join Form3’s US engineering business line and contribute to the development of our US gateway products, each built around a real-time payment scheme such as FedNow or TCH RTP. Reporting to the Lead Engineer and supported by our Staff Engineers, you will play a key role in building mission-critical systems that we believe will transform how payments are made in the US. Come and play a significant role in building critical systems that we believe will change the way the US makes payments!

On a day-to-day basis, you will contribute to feature development, system design and testing; manage and enhance our infrastructure; and support daily product operations, including participation in the on-call rotation. US gateways are built on top of Form3’s cutting-edge multi-cloud platform and are in advance stages of development, ready to onboard first customers. As a Senior Software Engineer in a gateway team, you will play a crucial role in making it happen.

WE’RE LOOKING FOR 🔍

Our ideal candidate:

• Has a deep understanding of designing and building distributed systems
• Enjoys working on complex challenges within critical software where high performance and robustness are essential
• Is familiar with cloud and containerisation technologies, test automation tools and CI/CD pipelines
• Expresses interest in owning projects end-to-end and supporting them as they go live in production
• Has appreciation of clean code and software engineering best-practice
• Is experienced in programming in Go but also demonstrates a “right tool for the job” mentality
• Possesses great communication skills and enjoys sharing knowledge and collaborating with others

TECH STACK ⚙️

• Infrastructure: AWS, GCP, Kubernetes
• Platform: CockroachDB, Elasticsearch, Vault, NATS
• Tools: Terraform, GitHub, Prometheus, Tilt
• Code: Go (and a little Java), containerised microservices, CQRS, open-source
• Ways of working: TDD/BDD, Pair Programming, 100% remote, SecDevOps

THE TEAM 👥

The USA business line consists of engineers distributed in two teams. We are spread across multiple time zones in Europe and the Americas and therefore we highly value asynchronous communication. We give engineers autonomy to choose the right solutions for the problems they face and drive technical design. We encourage collaboration, make key decisions as a group and own our solutions end-to-end. We also keep close relationships with our Product colleagues who are domain experts in US payments. Our current focus is to complete functional build and prepare for Form3’s US products’ go-lives, targeted for Autumn 2025 – we are excited to show our products to the world!

INTERVIEW PROCESS ✍️

Stage 1: Screening Call with Talent Team

Stage 2: Take-home tech test

Stage 3: Technical interview

Stage 4 (optional): Team interview

We always aim to stick to the above process, however there may be occasions when an additional interview stage is needed for us to be sure we’re hiring the right person!

HIRING LOCATIONS 📍

We are able to accept applications from the following countries; Canada (Ontario only)

All new joiners start their first day in our office to collect the equipment needed to work remotely. We'll also arrange for some of your team to come in to say hi, ensuring you're supported and have a positive first few days with Form3!

ABOUT FORM3 💭

Revolutionising the world of payments with our cutting-edge technology and innovative solutions. For more information about life at Form3 check out the following pages:

What we do | Life at Form3 | Benefits | Flexa-verified employer | .tech podcast series 

THE ROLE 📝

Join Form3’s US engineering business line and contribute to the development of our US gateway products, each built around a real-time payment scheme such as FedNow or TCH RTP. Reporting to the Lead Engineer and supported by our Staff Engineers, you will play a key role in building mission-critical systems that we believe will transform how payments are made in the US. Come and play a significant role in building critical systems that we believe will change the way the US makes payments!

On a day-to-day basis, you will contribute to feature development, system design and testing; manage and enhance our infrastructure; and support daily product operations, including participation in the on-call rotation. US gateways are built on top of Form3’s cutting-edge multi-cloud platform and are in advance stages of development, ready to onboard first customers. As a Senior Software Engineer in a gateway team, you will play a crucial role in making it happen.

WE’RE LOOKING FOR 🔍

Our ideal candidate:

• Has a deep understanding of designing and building distributed systems
• Enjoys working on complex challenges within critical software where high performance and robustness are essential
• Is familiar with cloud and containerisation technologies, test automation tools and CI/CD pipelines
• Expresses interest in owning projects end-to-end and supporting them as they go live in production
• Has appreciation of clean code and software engineering best-practice
• Is experienced in programming in Go but also demonstrates a “right tool for the job” mentality
• Possesses great communication skills and enjoys sharing knowledge and collaborating with others

TECH STACK ⚙️

• Infrastructure: AWS, GCP, Kubernetes
• Platform: CockroachDB, Elasticsearch, Vault, NATS
• Tools: Terraform, GitHub, Prometheus, Tilt
• Code: Go (and a little Java), containerised microservices, CQRS, open-source
• Ways of working: TDD/BDD, Pair Programming, 100% remote, SecDevOps

THE TEAM 👥

The USA business line consists of engineers distributed in two teams. We are spread across multiple time zones in Europe and the Americas and therefore we highly value asynchronous communication. We give engineers autonomy to choose the right solutions for the problems they face and drive technical design. We encourage collaboration, make key decisions as a group and own our solutions end-to-end. We also keep close relationships with our Product colleagues who are domain experts in US payments. Our current focus is to complete functional build and prepare for Form3’s US products’ go-lives, targeted for Autumn 2025 – we are excited to show our products to the world!

INTERVIEW PROCESS ✍️

Stage 1: Screening Call with Talent Team

Stage 2: Take-home tech test

Stage 3: Technical interview

Stage 4 (optional): Team interview

We always aim to stick to the above process, however there may be occasions when an additional interview stage is needed for us to be sure we’re hiring the right person!

HIRING LOCATIONS 📍

We are able to accept applications from the following countries; Canada (Ontario only)

All new joiners start their first day in our office to collect the equipment needed to work remotely. We'll also arrange for some of your team to come in to say hi, ensuring you're supported and have a positive first few days with Form3!

ABOUT FORM3 💭

Revolutionising the world of payments with our cutting-edge technology and innovative solutions. For more information about life at Form3 check out the following pages:

What we do | Life at Form3 | Benefits | Flexa-verified employer | .tech podcast series 

Lookout, Inc. is a globally recognized cybersecurity leader delivering advanced protection for the most vulnerable element of any enterprise security strategy — human error and manipulation. Cloud-native by design, the Lookout platform offers rapid, scalable deployment and simplified security operations, defending the frontline of human-centric attacks—the mobile device.

Attackers now target the human element more than ever, with mobile devices providing the most direct path to their victims. Using social engineering techniques that exploit basic human instincts like trust, curiosity, and urgency, they deceive users into revealing sensitive credentials, allowing them to slip past legacy security solutions.

Lookout Endpoint Detection and Response (EDR) continuously monitors mobile endpoints for signs of human-centric attacks, as well as traditional malware, software vulnerabilities, and other anomalous activity. It uses advanced threat detection techniques, including artificial intelligence (AI) and behavioral analysis, to identify threats before they escalate across the enterprise.

Learn more at www.lookout.com and follow us on the Lookout Blog, LinkedIn, and X.

As a Software Engineer on the Security Intelligence team, you will contribute broadly to the detection engines, analysis systems, and other core intellectual property at Lookout. This position is an opportunity to take on some of the most interesting challenges in the company and join the team that provides the fundamental technological building blocks of the Security Platform that underlies Lookout’s category-defining personal and enterprise products. Lookout’s Security Platform is capable of analyzing millions of apps on a daily basis. Our analysis is trusted by Google to help identify potentially harmful applications before they enter the Play Store and by the world’s leading telecommunications providers to protect their customers.  These are challenging problems and you must be open-minded to tackling new exploratory areas as well as evolving and continually improving key existing systems. You may be called on to work in high scale cloud systems, or directly on mobile platforms.

We're looking for a motivated engineers who has experience building, monitoring, and maintaining high-volume, low-latency distributed SaaS solutions. You will be a member of the team that is responsible for a massively scalable platform that performs static analysis of iOS and Android applications, applying behavioral and malware detection policy.

In this role, you will work closely with Lookout’s security research, data ingestion, and machine learning teams to:

• enable threat hunting for state level security actors and their infrastructure.
• support processing of continuously acquired Android and iOS applications.
• identify components and functionality of mobile applications that can be used to determine their behavior and evaluate possible privacy risks.
• invent new app analysis techniques, engines, and domain specific languages.
• participate in hackathons and innovation fairs.

Requirements for this position:

• A strong motivation for self-directed learning, while collaborating with experts across Lookout engineering teams, to take on challenges in areas such as:
• Scalable distributed systems design.
• Reverse engineering of mobile applications and runtimes.
• Mobile devices and platforms.
• ML based data analysis support.
• Experience designing/implementing large-scale, distributed, production class software on public cloud platforms such as AWS and GCP.
• Strong software engineering fundamentals: object-oriented design, data structures, and algorithms.
• Functional programming experience is highly desired.
• Desire and ability to work across platforms and languages.
• A quality-oriented mindset with a strong commitment to automated testing, metrics collection, monitoring, and continuous improvement in all of your work.
• Ability to drive features from conception to deployment in an agile team with continual delivery.
• 8+ years of overall development experience.
• BS degree in Computer Science or similar Engineering discipline, or equivalent work experience.

Technologies that you will have an opportunity to work with:

• Primarily Scala, with some Java, and occasionally Ruby (in JVM).
• iOS, Android, and their respective development toolchains.
• Graph, SQL, and NoSQL databases including TinkerPop, ElasticSearch, and others.
• AWS and GCP primitives and distributed technologies.
  
  This posting is for an existing vacancy. We are actively recruiting to fill this position immediately

Lookout, Inc. is a globally recognized cybersecurity leader delivering advanced protection for the most vulnerable element of any enterprise security strategy — human error and manipulation. Cloud-native by design, the Lookout platform offers rapid, scalable deployment and simplified security operations, defending the frontline of human-centric attacks—the mobile device.

Attackers now target the human element more than ever, with mobile devices providing the most direct path to their victims. Using social engineering techniques that exploit basic human instincts like trust, curiosity, and urgency, they deceive users into revealing sensitive credentials, allowing them to slip past legacy security solutions.

Lookout Endpoint Detection and Response (EDR) continuously monitors mobile endpoints for signs of human-centric attacks, as well as traditional malware, software vulnerabilities, and other anomalous activity. It uses advanced threat detection techniques, including artificial intelligence (AI) and behavioral analysis, to identify threats before they escalate across the enterprise.

Learn more at www.lookout.com and follow us on the Lookout Blog, LinkedIn, and X.

As a Software Engineer on the Security Intelligence team, you will contribute broadly to the detection engines, analysis systems, and other core intellectual property at Lookout. This position is an opportunity to take on some of the most interesting challenges in the company and join the team that provides the fundamental technological building blocks of the Security Platform that underlies Lookout’s category-defining personal and enterprise products. Lookout’s Security Platform is capable of analyzing millions of apps on a daily basis. Our analysis is trusted by Google to help identify potentially harmful applications before they enter the Play Store and by the world’s leading telecommunications providers to protect their customers.  These are challenging problems and you must be open-minded to tackling new exploratory areas as well as evolving and continually improving key existing systems. You may be called on to work in high scale cloud systems, or directly on mobile platforms.

We're looking for a motivated engineers who has experience building, monitoring, and maintaining high-volume, low-latency distributed SaaS solutions. You will be a member of the team that is responsible for a massively scalable platform that performs static analysis of iOS and Android applications, applying behavioral and malware detection policy.

In this role, you will work closely with Lookout’s security research, data ingestion, and machine learning teams to:

• Enable threat hunting for state level security actors and their infrastructure.
• Support processing of continuously acquired Android and iOS applications.
• Identify components and functionality of mobile applications that can be used to determine their behavior and evaluate possible privacy risks.
• Invent new app analysis techniques, engines, and domain specific languages.
• Participate in hackathons and innovation fairs.

Requirements for this position:

• A strong motivation for self-directed learning, while collaborating with experts across Lookout engineering teams, to take on challenges in areas such as:
• Scalable distributed systems design.
• Reverse engineering of mobile applications and runtimes.
• Mobile devices and platforms.
• ML based data analysis support.
• Experience designing/implementing large-scale, distributed, production class software on public cloud platforms such as AWS and GCP.
• Strong software engineering fundamentals: object-oriented design, data structures, and algorithms.
• Functional programming experience is highly desired.
• Desire and ability to work across platforms and languages.
• A quality-oriented mindset with a strong commitment to automated testing, metrics collection, monitoring, and continuous improvement in all of your work.
• Ability to drive features from conception to deployment in an agile team with continual delivery.
• 8+ years of overall development experience.
• BS degree in Computer Science or similar Engineering discipline, or equivalent work experience.

Technologies that you will have an opportunity to work with:

• Primarily Scala, with some Java, and occasionally Ruby (in JVM).
• iOS, Android, and their respective development toolchains.
• Graph, SQL, and NoSQL databases including TinkerPop, ElasticSearch, and others.
• AWS and GCP primitives and distributed technologies.
  
  
  This posting is for an existing vacancy. We are actively recruiting to fill this position immediately.

At Rockstar Games, we create world-class entertainment experiences. 

Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly motivated environment where you can learn and collaborate with some of the most talented people in the industry. 

Rockstar Games is seeking a passionate and experienced Senior Web Engineer with a focus on the “back of the frontend” to join our online development team. This role will involve a deep understanding of how high-profile frontends are delivered, secured and integrated via services and APIs with less focus on the presentation. 

The successful candidate will be working on innovative technology with an internationally established team, while having great attention to detail, being a strong collaborator and have outstanding communication and interpersonal skills.

We are looking for someone who is passionate about games, eager for new challenges, and ready to continue our legacy of creating the greatest games in the world. 

This is a full-time, in-office position based out of Rockstar’s unique game development studio in Oakville, ON. 

WHAT WE DO 

• The Rockstar Games Online Services team creates connected experiences that are found across our game franchises.
• We architect and maintain high-impact features to support the development of the Rockstar community and websites.
• We create innovative in-game experiences, including user-generated content.
• We build services and tools that support our consumer-facing experiences and our internal business needs. 

RESPONSIBILITIES 

• Development of accessible front-end components and applications using React.
• Integrating front-end applications with Next.js and ASP.NET Core (C#).
• Develop comprehensive test suites.
• Web performance optimization.
• Collaboration with other Rockstar technology teams across our worldwide studios. 

REQUIREMENTS

• A degree in computer science or 5+ years of experience in professional web development.
• 5+ years of experience using React.
• 5+ years of experience using Node.js or C#. 
• Extensive experience in accessible web development.
• Ability to effectively facilitate communication with teams in various locations worldwide.
• Experience with automated testing, shared code, and source control, preferably Git.
• Knowledge of Agile, software development, and web-security best practices.
• Passion for web technologies and a desire to remain up to date with the latest technologies.  

PLUSES 

Please note that these are desirable skills and are not required to apply for the position. 

• Experience working on high-traffic, responsive websites and applications.
• Experience with Next.js SSR/ISR.
• Exposure to Elasticsearch/OpenSearch.
• Exposure to observability tools.
• Knowledge of Rockstar’s game titles and passion for playing video games. 

HOW TO APPLY

Please apply with a resume and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.

Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process.                                   

For those based in Toronto, Rockstar will provide accommodations to job applicants and employees as long as such accommodations do not pose an undue hardship on Rockstar, and consistent with its obligations under the Human Rights Code and the Accessibility for Ontarians with Disabilities Act.

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.

Your Role & Mission

This role sits at the intersection of engineering, security, and fraud operations. The hired candidate will play a critical role in evolving Apollo’s abuse detection and account security capabilities.

As a Senior Engineer (Fraud), you’ll work closely with Fraud Operations, Data Science, Application Security, and Product to modernize abuse detection logic. You'll prototype and deploy new risk decisioning systems and build the technical foundation for new fraud decision models over the next several quarters. This role is ideal for a senior engineer who thrives in ambiguous, data-driven problem spaces and enjoys building systems that protect our customers and business.

Daily Adventures & Responsibilities

• Lead the implementation and ongoing improvement of abuse detection services and customer account security features
• With assistance of technical leadership, implement a home-grown risk decision engine
• Build and maintain APIs to support extensible, low-latency risk decisioning
• Research and analyze abuse tools and attacker tactics to inform detection strategies
• Participate in fraud incident triage and lead development of mitigations and remediation
• Collaborate with Data Science and Data Engineering on model feature and system design
• Work closely with Fraud Operations and Application Security to align detection and response
• Stay informed on fraud prevention trends and apply relevant insights internally

Skills & Relevant Experience

• 5+ years building production backend systems in a SaaS or similar environment
• Experience designing scalable backend services; exposure to risk or decisioning systems a plus
• Proven track record of designing customer-first features
• Ability to explore and validate ideas using imperfect or partially structured data
• Strong foundation in secure system design and layered defenses
• Comfortable presenting designs to both technical peers and senior stakeholders
• Familiarity with common abuse vectors, evasion techniques, or scraping patterns
• Strong ownership mindset and ability to prioritize effectively
• Fraud, trust & safety, or security-adjacent experience preferred
• Clear written and spoken English communication

What we are looking for

Equilibrium Energy is building the platform that will power the clean energy transition. As a Staff/ Sr Staff Software Engineer- Data Engineering, you will play a critical role in shaping our long-term data architecture. You’ll lead the design and implementation of high-impact data initiatives that support energy trading, forecasting, and AI development.

This is a hands-on role that blends platform engineering, advanced data processing, and cross-functional collaboration. You’ll help scale our systems to enable near real-time decision-making and empower traders, data scientists, and operators to move faster with confidence.

What you will do

• Design and implement the long-term data architecture using modern technologies and frameworks.
• Build and maintain scalable ETL/ELT pipelines in Python, SQL, and dbt—ingesting data via APIs, web scraping, and streaming sources.
• Develop and operate data pipelines using orchestration frameworks such as Temporal and Dagster.
• Design data models and schemas for our cloud warehouse (Databricks) and relational databases; contribute to the development of our ML feature store.
• Optimize workflows for performance and cost efficiency.
• Drive large, cross-functional data initiatives from planning to execution.
• Partner with AI and engineering teams to ensure high-quality datasets for machine learning and analytics.
• Collaborate with product managers, scientists, and engineers to gather requirements and deliver robust data products.
• Mentor other engineers in best practices for data ingestion, architecture, and scalable pipeline design.
• Support the software testing cycle, debug code, and resolve issues found during QA or user acceptance testing.

The minimum qualifications you’ll need

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field.
• 7+ years of progressive experience in data or software engineering.
• Advanced programming skills in Python and SQL.
• Experience building globally distributed data systems and real-time pipelines.
• Hands-on with orchestration/stream processing tools like Temporal, Dagster, Airflow, Spark, or Kafka.
• Strong knowledge of relational and NoSQL databases (e.g., Postgres, MySQL, MongoDB, ElasticSearch, Cassandra).
• Familiarity with data warehousing and cloud computing (Databricks and AWS preferred).
• Experience mentoring engineers and providing architectural direction.
• Strong analytical skills, with the ability to work with unstructured or ambiguous datasets.
• Commitment to data quality, testing, and observability.
• Experience with both OLTP and OLAP data processing systems

Nice to have additional skills

• Experience with energy market data or weather data sources (e.g., NWS, NOAA, Yes Energy).
• Experience using dbt for transformations and data quality checks.
• Collaborating with data science teams to build and productionize ML pipelines.
• Familiarity with DataOps practices and CI/CD for data workflows.
• Knowledge of real-time data technologies, graph databases, or unstructured data processing.
• Understanding of power systems, grid operations, or financial aspects of energy trading.