What are we looking for?

We are seeking a highly skilled and experienced Senior DevOps/Cloud Engineer/SRE with 7+ years of experience to become an integral part of our dynamic DevOps platform team. In this role, you will be instrumental in supporting cutting-edge AI SaaS and PaaS solutions.

Please note: This position may require participation in an on-call support rotation in the future.

Requirements

To be successful in this role, you should possess the following qualifications and skills:

Technical Skills:

• Education: A Bachelor's degree in Computer Science or a related field, or equivalent education and experience equating to the US equivalent of a bachelor’s degree.
• SDLC & CI/CD: 5+ years of experience with Software Development Lifecycle (SDLC) methodologies and CI/CD technologies, including hands-on expertise with at least two different CI/CD ecosystems. Optional: We also value experience with MLOps practices and their integration into CI/CD pipelines.
• Software Engineering: 3+ years of experience as a Software Engineer, with a preference for backend development experience. Nice to have: Experience with Temporal workflows.
• Networking & Operating Systems: Strong knowledge of networking principles and robust experience with Operating System concepts, backed by 5+ years of hands-on Linux administration.
• Cloud Platforms: 5+ years of in-depth experience with AWS (highly preferred) and/or GCP. Highly desired to have certifications in AWS or GCP.
• Infrastructure as Code (IaC): 5+ years of experience with IaC tools, primarily Terraform.
• Kubernetes: 5+ years of experience managing Kubernetes clusters, including practical experience with at least one cloud-managed service (e.g., EKS, GKE, AKS).
• Database Management: Strong experience with PostgreSQL.
• Troubleshooting: Proven ability to effectively troubleshoot issues across code, cloud infrastructure, networks, and operating systems.

Observability: 5+ years of experience working with observability tools, defining SLOs, designing alerts, dashboards and escalation chains.

• AI-Specific Technologies (Preferred): Given our focus on AI solutions, experience with MLOps, Nvidia NIM and relevant Nvidia certifications would be a significant asset.

Essential Non-Technical Skills:

• Requirements Elicitation: Ability to effectively gather and understand project requirements.
• Collaboration & Resilience: A highly collaborative team player with a resilient and proactive mindset.
• Organisational & Communication Skills: Self-organiSed with the ability to structure discussions effectively, ensuring focus and clarity.
• Documentation: Meticulous and thorough in creating clear, comprehensive documentation.
• Problem Solving: Adept at breaking down complex problems into manageable sub-tasks and defining actionable next steps.

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.  

#LI-FP1

Position Description: 

The Iberia Solutions Engineering team are involved in all stages of the customer’s development lifecycle and are experienced using presentations, email, phone and social media to connect with customers. We are looking for great teammates that can build sales presentations, product demonstrations, and educate customers (everyone from developers to product managers to C-level executives) on the best ways to cloud security technology. 

We believe in Okta’s Solutions Engineers empathise with customers and quickly discern their true technical needs by asking detailed and clarifying questions and presenting solutions that target those needs. You have the rare combination of technical savviness and business insight and you’re looking for a career where you can utilise both. As a Solutions Engineer at Okta, you will hone each of these skills by advising a diverse set of customers on what is possible using Okta’s Identity Platform. This position is based in Madrid. 

Job Duties and Responsibilities:

• Collaborate with account executives to develop and execute territory and account strategies to maximize the Okta opportunity in those accounts
• Conduct research and discovery to understand customer requirements and communicate the business value of solving technology problems using cloud technology
• Execute the delivery of POCs for customers with complex use cases, collaborating with other Okta engineering teams as needed
• Craft technical content to show customers how to implement specific use cases or standard methodologies for new technologies
• Prepare and deliver demos to showcase how the Okta platform meets customer’s business needs and use cases.  
• Distill and communicate customer needs and product feedback to Product Management, Engineering, Marketing and Sales

Desired Skills:

• A passion to serve the customer, which has played out in some customer-facing role like consulting or support, ideally solutions engineering
• An ability to quickly and effectively communicate complex technical concepts via presentation, slides and whiteboard 
• A good understanding of Identity & Access Management (IAM): SSO, MFA, SCIM, OAuth 2.0, OIDC, SAML, and LDAP.
• A strong understanding of Zero Trust Architecture and core security concerns within a typical application (password hashing, SSL/TLS, encryption at rest, XSS, XSRF)
• Hands-on experience in one or more of the following areas is a plus: web (JavaScript, HTML, frontend frameworks) development, mobile (iOS, Android) development, backend (Java, C#, Node.js, Python, PHP, Ruby) development, IP-based real-time communications
• Experience with cloud platforms: AWS, Azure, GCP.
• You are an elite communicator
• Can identify, map, and manage multiple personas: IT admins, CISOs, architects, procurement, and legal.
• Confident dispensing knowledge to a highly skilled and experienced audience
• Typically 10-25% travel
• Native Spanish speaker is a must
• Professional English proficiency (Spoken and written) is a must

#LI-JB2

#LI-HYBRID

P13995_3347092

Product Analytics aims to help developers, product managers and designers understand their users, take data-oriented product decisions and evaluate the impact of technical issues on their customer base. As a Senior Software Engineer on the Product Analytics Backend team, you'll join a new, fast-growing product area. You will help define our technical vision, influence the product roadmap, and solve complex engineering challenges at scale.

In Product Analytics, we consume and process data from multiple sources: clickstreams, user information, and data from third-party systems. Your work will be central to building a robust and flexible system that can ingest, manipulate, correlate and store all this data to have it efficiently queried by our end users.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You’ll Do: 

• Design, build, and maintain core backend systems for Product Analytics, ensuring scalability, reliability, and high performance 
• Drive technical architecture decisions in alignment with product goals and collaborate closely with frontend and platform teams 
• Work with our core platform teams to tailor Datadog's storage and query solutions to our needs
• Create a strong team culture aligned with our engineering standards and our customer focus
• Participate in hands-on engineering work including coding, code reviews, and design reviews

Who You Are: 

• A seasoned backend engineer with deep expertise in designing and building distributed systems 
• Comfortable influencing technical direction without direct management authority, operating as a technical leader and mentor 
• Interested in working on an early stage project with many challenges to solve and a fast iteration cycle 
• You have a track record of delivering high-quality software products on schedule and collaborating closely with product partners 
• Strong technician, particularly with Go, Java or SQL, who is interested in remaining a hands-on contributor
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products 

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. 

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

The eBPF Platform team owns the shared eBPF infrastructure inside the Datadog Agent, and is responsible for its reliability, performance, and evolution across a wide variety of Linux distributions and kernel versions. We build tooling and agent functionality for product teams utilizing eBPF (Network Performance Monitoring, Universal Service Monitoring, Cloud Workload Security, GPU Monitoring), enable new teams exploring eBPF, and centralize deep kernel expertise across the organization. The team contributes to open source projects such as btfhub and cilium/ebpf.

Datadog is investing heavily in GPU Monitoring to give customers deep visibility into GPU utilization, health, and performance across their infrastructure. The eBPF Platform team builds the agent-side foundation that makes this possible, from eBPF programs that capture GPU activity at the kernel level, to the metrics pipelines and validation infrastructure that ensure data quality at scale.

In this role, you will work at the intersection of eBPF, the Linux kernel, and GPU infrastructure. You'll contribute to GPU Monitoring capabilities within the Datadog Agent while also working across the broader eBPF platform, investigating production incidents, improving reliability, and helping shape the architecture of one of the most widely deployed eBPF solutions in the industry.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Contribute to GPU Monitoring feature development end-to-end, from ideation to implementation within the Datadog Agent
• Build and maintain shared eBPF functionality for product teams to use in their eBPF-based products
• Investigate and debug complex production issues that span the kernel, eBPF programs, and agent runtime
• Research, prototype, develop, and document solutions to hard problems in the eBPF and GPU monitoring space
• Provide technical input to product and architecture decisions

Who You Are:

• You have experience working with and developing in the Linux kernel, either using eBPF, as a kernel developer, or building low level programs in C
• You have significant experience building high throughput/low latency systems
• You have been building applications and tooling for 5+ years and know the systems you’ve worked on in depth
• You are motivated by solving problems for our customers first and foremost and building beautiful products that our customers love
• You have ability to work effectively in a team

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intra-departmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds
• Access to Inclusion Talks, our Internal panel discussions
• Free, global Spring Health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Onsite

Opportunity for Impact

Taxbit is seeking a Cloud Security Engineer to be a critical partner in securing and scaling our cloud infrastructure. This role combines hands-on security engineering with close collaboration across engineering, product, and customer-facing teams—ideal for someone who thrives at the intersection of security, software, and real-world impact. You will work directly with engineering teams to design secure AWS architectures, build scalable security tooling, and embed security into the development lifecycle. You will act as a trusted advisor, helping teams navigate challenges from infrastructure hardening to application security and threat modeling. You will also build and evolve core security capabilities, including cloud-native security systems, automated detection and response, and scalable platform improvements that strengthen our overall security posture.

We welcome individuals who are humble, hungry, and excited to tackle some of the industry's biggest challenges at the intersection of cloud infrastructure and security!

This role is based in Madrid. Candidates must be legally authorized to work in Spain or another European Union country without company-sponsored visa support (e.g., holders of a valid Residency and Work Visa or Permanent Resident status). 

Role and Responsibilities

Security Engineering

• Partner closely with engineering teams to design secure, scalable AWS architectures and services.
• Work directly with customers and internal stakeholders on real-world deployment scenarios across AWS and other cloud environments, designing and implementing secure solutions tailored to their infrastructure.
• Act as a trusted security advisor throughout the software development lifecycle—from design to deployment.
• Lead threat modeling exercises for applications and infrastructure, identifying risks and driving mitigation strategies.
• Collaborate with developers to implement secure coding practices and application security controls.
• Design, build, and operate cloud-native security infrastructure across AWS environments.
• Develop automated security controls, detection mechanisms, and response capabilities.
• Build and maintain Infrastructure-as-Code (Terraform or AWS CDK) to enforce secure configurations at scale.
• Define and implement systems that generate high-quality security signals for threat detection and response.
• Own security problems end-to-end, from identifying gaps to delivering production-ready solutions.
• Contribute to DevSecOps practices by integrating security into CI/CD pipelines and developer workflows.
• Continuously improve security standards, engineering practices, and system reliability.

Security Strategy & Enablement

• Serve as the voice of security across engineering, translating risks into actionable engineering work.
• Drive improvements in cloud security posture, including identity, network, and data protection.
• Educate and mentor engineers on secure design principles, threat modeling, and cloud security best practices.
• Help shape the security roadmap by leveraging insights from real-world engineering challenges.

Professional Qualifications

• 5+ years of professional experience in software engineering or security engineering.
• Strong programming skills, with proficiency in Python.
• Hands-on experience with AWS cloud infrastructure and security.
• Experience with Infrastructure-as-Code (Terraform, AWS CDK, or similar).
• Proven experience conducting threat modeling and working on application security.
• Experience implementing DevSecOps practices and securing CI/CD pipelines.
• Strong analytical and problem-solving skills.
• Ability to work autonomously in a fast-paced, distributed environment with minimal supervision.
• Comfortable working independently across time zones, with the majority of the team based in the United States.
• Bachelor’s degree in Computer Science or equivalent.

Technical Qualifications

• Deep experience with AWS services (IAM, VPC, EC2, S3, Lambda, etc.).
• Experience building security tooling, automation, and detection systems.
• Familiarity with logging, monitoring, and security analytics platforms.
• Experience designing secure distributed systems and APIs.
• Knowledge of modern application security practices.

Personal Characteristics

• Passionate about building secure systems and solving complex problems.
• Strong sense of ownership and accountability.
• Comfortable collaborating across teams.
• Thrives in an agile, fast-paced environment.
• Enjoys mentoring others.

Mission

Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.

What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.

Overview

We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify’s product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.

What You’ll Do

• Collaborate with Speechify’s Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK
• Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms
• Ship cloud functions, lightweight backend services, and jobs using Kotlin

An Ideal Candidate Should Have

• Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.
• Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
• Preferred Tech Stack:
  • Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform) 
  • Prior experience with GCP is a plus

What We Offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

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

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

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

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

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

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. We share our technical and product expertise with customers through demos, presentations, technical evaluations, and ongoing support. Technical solutions is a growing global team that collaborates constantly to share knowledge and continuously advance our technical skillset.

The Logs family of products represents a strategic evolution in how organizations manage and analyze logs at scale while meeting stringent data residency, compliance, and cost requirements. The Product Solutions Architect (PSA) will work closely with Datadog customers, Logs Product team, and the CloudPrem product team to architect, implement best practices, and drive adoption of the log management suite.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Serve as the Product Expert on Logs, CloudPrem, and Observability Pipelines
• Offer guidance on architecture choices, data collection, and best practices to large Enterprise customers as they adopt these Datadog services across the organization at scale
• Design and validate hands-on, production-ready architectures spanning cloud infrastructure, Kubernetes platforms, and customer-managed environments
• Actively identify opportunities to simplify, optimize, and standardize deployment patterns, reducing operational complexity for customers through architectural guidance and best practices.
• Be a Trusted Advisor to Product Management by providing high quality feedback based on your field experience working closely with our Support, Partners, and Customers
• Capture repeat customer use cases and solutions and in turn publish Reference Architectures, automation patterns, and Implementation Guides for Datadog prospect and customer consumption
• Build world class training material, solutions briefs, blogs, and documentation to the wider Datadog field technical teams over the latest product features and capabilities
• Collaborate with other teams at Datadog including Marketing, Sales, Community, Documentation, and Evangelism to ensure the success of the Log Management product family
• Exercise the products you represent by building hands-on proof of concepts, small scale deployments  to validate solutions and reproduce customer environments
• Engage deeply with customers, feeling their operational pain points and driving solutions that measurably improve reliability, scalability, and day-to-day operations

Who You Are:

• Someone with strong hands-on experience with tools such as Kubernetes, including cluster architecture, networking, storage, and operational best practices.
• Someone with strong knowledge of cloud infrastructure fundamentals, including networking, compute, storage, and distributed system design.
• Someone familiar with Security, Governance, and Compliance requirements for industry verticals
• Someone who can dive deep into our Codebase, SDKs, and GitHub workflows to understand, debug, and influence product behavior
• Experience with languages like Python and/or Rust, and file formats such as JSON and YAML
• A self-starter, tech-savvy professional, who is comfortable working with bleeding edge technology and processes, even if it hasn’t been well defined
• A deep learner and a Subject Matter Expert today that has built advocacy and knowledge across multiple teams with the knowledge you possess 
• Fluent in understanding the observability market domain, competition, technological shifts, and customer needs
• Someone who values getting things done, taking ownership from problem definition through implementation and outcome
• Highly detail-oriented, especially when working on architectures, documentation, and customer-facing solutions
• A person who possesses exceptional listening and consultative skills, for both internal and external audiences
• Experienced working with customers in high pressure situations where the solution is sometimes not obvious - caring about customer pain and motivated to solve hard problems on their behalf
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train, or air up to 40% of the time 

Bonus Points:

• Successful track record with 5+ years experience working as an Architect or Consultant 
• Experience using Datadog and/or other observability tools in an SRE or DevOps capacity
• Have recent experience deploying solutions in production environments at scale
• Strong knowledge or experience with Splunk, Elastic, Opensearch, SumoLogic, Vector, Cribl, Quickwit

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

Product Manager, Property Management

PropHero is an AI-driven marketplace transforming property investment. Backed by global VCs and founded by McKinsey alumni, we’re expanding our team. Join our thriving, and flexible culture, surrounded by ambitious individuals driving change. At PropHero, we’re making property investment as simple as shares or ETFs—be part of the future we’re building!

We are value-driven!

🤝 BELIEVE: We lead with passion and optimism, inspiring others to share in PropHero’s vision and mission.

🔍 CONNECT: We foster a one-team spirit with kindness, fairness, and integrity, making everyone feel valued and confident.

🔥 OWN IT: We act as owners, putting customers first, making informed decisions, and maximizing every opportunity.

🌐 DELIVER: We strive for impactful outcomes with rigor, accountability, and a relentless focus on execution.

📈 RAISING THE BAR: We strive for excellence, innovate boldly, and invest in long-term success for our people and our business.

Do these values resonate with you? Keep reading!

How you will shape Prophero:

You’ll act as a Product Engineer for a key area of PropHero’s experience—owning and building our Property Management tools end-to-end—working cross-functionally to design, develop, and ship solutions that digitalize and transform how real estate assets are managed.

• Own the product lifecycle: From ideation and prototyping to production and iteration. You’ll not only define what to build, but actively build and maintain it.
• Drive product discovery through experimentation: Work closely with users and stakeholders, rapidly prototyping AI-driven solutions to validate ideas and uncover real pain points.
• Build and ship features end-to-end: Design, develop, and deploy scalable features across web and backend, with a strong focus on speed and quality.
• Leverage AI as a core capability: Integrate LLMs, automation, and data-driven systems to streamline property management workflows and unlock new user value.
• Think in systems and architecture: Design robust, scalable, and maintainable systems, making pragmatic technical decisions that balance speed and long-term quality.
• Own outcomes, not just output: Monitor performance, iterate quickly based on data and feedback, and continuously improve the impact of what you build.
• Be close to the user: Whether it’s an internal operator or an end customer, you’ll deeply understand their workflows and build tools that make their lives significantly easier.

What you will bring to our team:

• 3+ years of experience as a software engineer, product engineer, product manager or similar role, ideally in fast-growing startups or product-driven environments.
• Strong hands-on engineering skills: you are comfortable building full-stack applications and shipping production-ready code independently.
• Experience working with AI: familiarity with LLMs, APIs, automation workflows, or data-driven systems is highly valued.
• Product mindset: you think beyond code, understanding user problems, prioritizing effectively, and focusing on delivering real impact.
• Solid understanding of system design and software architecture, with the ability to make pragmatic trade-offs.
• You are data-driven: comfortable measuring impact, iterating based on metrics, and running lightweight experiments.
• Strong collaboration and communication skills: you work effectively with product, design, and business stakeholders.
• You speak Spanish fluently and have at least an intermediate English level, to collaborate across teams and markets.
• Experience working in a remote, multicultural, fast-paced environment is a big plus.
• Process Optimization and Low-code mastery, you know how to map user pain points and automate workflows using no-code/low-code tools to build internal MVPs and document efficient processes quickly.

What can we offer you:

🚀 Growth Mindset

We believe in pushing boundaries and embracing challenges. Whether it’s exploring new tools, improving processes, or taking on uncharted projects, we support a culture of curiosity and innovation where learning never stops.

🌎 A Diverse, Collaborative Team

Join a global team that celebrates diversity and thrives on collaboration. With team members from all over the world, we bring together unique perspectives, ideas, and experiences to create meaningful impact and drive innovation.

📚 Continuous Learning & Development

No matter your background or field of study, you’ll find endless opportunities to learn, grow, and contribute. Our open, transparent environment encourages the exchange of ideas, helping you unlock your full potential.

🌟 Career Growth in an Early-Stage Startup

Be part of a fast-growing startup with global ambitions. As we scale, so will your opportunities to take on more responsibility, shape our success, and advance your career.

💰 Competitive Compensation Package

We value your contributions and offer a competitive economic package to match your impact.

Diversity Statement

At Prophero, we are committed to fostering an inclusive and equitable workplace where diverse perspectives and backgrounds are not only welcomed but celebrated. We believe that diversity drives innovation and empowers us to build stronger connections with our clients and communities. 

Prophero is an equal opportunity employer and is dedicated to ensuring a hiring process free from discrimination based on race, ethnicity, gender, age, disability, religion, sexual orientation, or any other characteristic protected by law. Our mission is to create a workplace where everyone feels valued, supported, and empowered to achieve their full potential.

The Mission

We are building more than a calculation engine; we are building an integrated global financial ecosystem. As a Principal Engineer, you will own the end-to-end lifecycle of payroll data—from the moment an employee is onboarded in a third-party HRIS, through our deterministic bitemporal calculation engine, to the final generation of global payment files and statutory reporting.

You are an architect who writes code, a data engineer who understands state, and an integration expert who knows that a payroll system is only as good as the data flowing into it.

The Stack

• Core Engine & Data: Python (NetworkX, Pydantic, Decimal), PostgreSQL (Bitemporal modeling, dbt for analytics).
• Integrations & Pipelines: Node.js/TypeScript, Event-sourced architecture (Message Queues, Webhooks).
• The Ecosystem: Deep integrations with HRIS/HCMs (Workday, HiBob, BambooHR) and Ebury’s Payments architecture.
• AI-Augmentation: Claude Code for development and AI-driven data extraction.

What You’ll Own (The End-to-End Scope)

1. The Calculation Engine: Design the DAG-based resolver and bitemporal logic to handle complex, multi-jurisdictional payroll math with 100% accuracy.
2. Data Ingestion & Transformation: Architect the pipelines that ingest messy, unstructured data from fragmented HRIS sources and transform it into our deterministic PayrollRuleSchema.
3. Third-Party Integrations: Build robust, API-first connectors and "Outbox" pattern event systems to sync data across the global HR/Fintech stack.
4. The Payment & Reporting Rail: Own the generation of complex output artifacts—from ISO 20022 payment files to localized tax filings and GL (General Ledger) reports.
5. Bitemporal Data Strategy: Ensure the entire data lake supports "As-Of" reporting, allowing users to reconstruct the state of any payroll run at any point in history.

Your Pedigree

• The Full-Stack Backend Mindset: You are equally comfortable optimizing a recursive SQL query as you are designing a resilient webhook listener or a topological sort algorithm.
• Data Pipeline Veteran: You have experience with ETL/ELT patterns, data validation frameworks, and ensuring Exactly-Once processing in financial systems.
• Domain Expertise: You’ve built at Deel, Rippling, Papaya Global or similar Tech-first Global Payroll and Payments company, and you understand that "Integrations" aren't just about APIs—they’re about mapping conflicting data models across cultures.
• Architectural Leadership: You can bridge the gap between "Product needs this integration tomorrow" and "Our data model needs to remain pure for the next 5 years."

The "Hard" Requirements

• Deep Polyglot Backend Skills: Expertise in Python (for the engine) and Node.js/TypeScript (for the integration layers).
• PostgreSQL Mastery: You understand bitemporality, window functions, and how to manage schema evolution in a multi-tenant SaaS environment.
• Location: London (Preferred), Madrid, or Malaga (4 days/week in-office).

We are looking for a Senior Backend Engineer (GoLang) with deep Go expertise to join the Gateways team. This is a hands-on individual contributor role with expectations to own subsystems end-to-end and drive technical direction in your area of ownership.

The Gateways team owns Workato's API management, gateway, and routing infrastructure — the layer that sits between external consumers and the platform's core services. Our scope includes the classic API Management (APIM) product, an AI Gateway for LLM traffic management, and an MCP Gateway for Model Context Protocol integration. We operate at high scale, low latency, and with strict availability requirements.

Responsibilities

• Design, build, and operate high-performance gateway and routing components in Go
• Own technical direction for your area: author design documents, lead architectural reviews, evaluate trade-offs, and drive decisions to conclusion
• Build and evolve infrastructure for authentication, caching, rate limiting, request queuing, and traffic shaping
• Collaborate with SRE, Infrastructure, and Platform teams to meet availability, scalability, and observability requirements
• Stay current with relevant technologies, protocols, and industry patterns; present findings and proposals for architectural review
• Deliver features end-to-end: from design through production rollout and ongoing maintenance

Requirements

Must Have

• 10+ years of professional software engineering experience
• 5+ years of hands-on backend development in Go, with strong command of concurrency patterns, performance profiling, and idiomatic design
• Deep understanding of Go internals: scheduler, garbage collector, memory model, and runtime behavior under load
• Strong systems programming foundation: understanding of how things work below the application layer
• Deep network knowledge: TCP connection lifecycle, TLS/mTLS handshake and termination, HTTP/1.1, HTTP/2, HTTP/3 (QUIC), WebSocket, SSE
• Applied cryptography: symmetric/asymmetric encryption, certificate chains of trust, key management, signing and verification
• Proven track record of designing and scaling distributed, highly available systems
• Solid understanding of large-scale web infrastructure: load balancers, reverse proxies, application servers, databases, message brokers, caching layers, and observability stacks
• Experience authoring system/architecture design documents and leading technical reviews
• Ability to identify bottlenecks at both the code level and the system level, and propose pragmatic solutions
• Working knowledge of Kubernetes concepts and deployment patterns
• BS/MS in Computer Science, Engineering, or equivalent demonstrated experience

Nice to Have

• Reading-level familiarity with Ruby (on Rails) — the Workato platform core is Ruby-based and owned by other teams, but integration points require the ability to navigate and understand existing code
• Familiarity with AI/LLM serving infrastructure: model proxying, token metering, streaming protocols
• Experience with Docker, container orchestration, and cloud infrastructure (AWS, Azure, or GCP)
• Experience with Redis-based caching and pub/sub patterns
• Exposure to API gateway or service mesh internals (e.g., Envoy, Kong, custom proxies)
• Integration with third-party REST/gRPC APIs at scale (throttling, retries, circuit breaking, batch processing)
• Contributions to open-source projects

Soft Skills

• Comfortable working in a globally distributed team across multiple timezones (the team spans Singapore, Europe, and the US)
• Strong written and spoken English — sufficient for design discussions, code reviews, and cross-team collaboration
• Full-cycle product delivery mindset: from problem framing through production and maintenance
• Open to experimentation; pragmatic about adopting new technologies

(REQ ID: 2674)

The Role:

We are seeking an enthusiastic and highly autonomous Senior Automation & Integration Engineer to serve as a versatile technical architect across the organization. In this hands-on role, you will act as the “Automation Engine,” directly impacting company efficiency and scalability by orchestrating end-to-end technical solutions. You will be responsible for connecting, transforming, and managing data flows across our entire systems stack through AI-driven automation.

We are looking for an individual who embodies extreme ownership: someone capable of proactively engaging stakeholders, unblocking challenges, and getting things done.

The Work You'll Do:

• Design and Build: Develop and implement robust, scalable AI automation workflows using Make as the primary integration platform to connect core business systems, with particular focus on Workday as our primary ERP.
• Orchestrate and Integrate: Take full ownership of technical solutions, managing data flows, transformations, and database manipulation to ensure seamless integration between tools — including Workday Finance and Workday HCM 
• Innovate with AI: Proactively explore, evaluate, and implement AI applications (both within and outside of Make) to boost our solutions and drive operational efficiency.
• Collaborate and Engage: Partner with stakeholders across Legal, Finance, HR/P&C,IT and other departments to identify opportunities for automation and process improvement, acting as the technical bridge between business needs and systems capability.
• Experiment and Secure: Champion experimentation by testing new technologies while balancing innovation with a mindful approach to security, data integrity, and scalability — especially when handling sensitive financial and people data in Workday.
• Govern and Document: Contribute to the development and maintenance of documentation for automation workflows and integrations. Support the implementation of governance frameworks, including Workday integration standards and change management practices.
• Proactive Problem-Solving: Independently diagnose complex, cross-system issues. Identify architectural gaps and risks across end-to-end process flows. Propose creative solutions with trade-off analysis, and align recommendations to the team mission of enabling scalable, reliable, and compliant operations.
• Mentor and Enable: Mentor junior colleagues. Share domain knowledge through training, documentation, and team rituals. Contribute to a culture of technical excellence and continuous learning.

The Qualifications You'll Need:

• Deep Automation Expertise: 4+ years building production-grade automation workflows with Make (preferred), n8n, Zapier, or Power Automate. You design multi-step integrations with proper error handling, retries, and auditability — and you write scripts (Python and/or JavaScript) when no-code isn't enough. You understand API-based integrations, data modelling, and how to build systems that hold up at scale.
• Workday Integration Experience: Solid hands-on experience across Workday Finance and/or HCM — not just configuration, but a real understanding of the underlying data models and how Finance and P&C teams rely on Workday as their system of record. Practical experience building or maintaining integrations using EIBs, Workday Studio, Core Connectors, PECI/PICOF, or the Workday REST/SOAP APIs.
• Practical AI Application: Demonstrable experience designing and deploying AI-powered workflows, including LLM-based agents, to solve real business problems. You can evaluate AI tools critically, build structured POCs, and write clear assessment summaries — you bring pragmatism, not hype.
• “Get it Done” Mindset: A proactive, self-motivated approach with a bias for action. You thrive in fast-paced environments where requirements might change.
• Stakeholder Management: Proven communication skills and the confidence to engage with Finance and P&C stakeholders as well as technical teams, challenge assumptions, and communicate with radical candor.
• Curiosity: Eagerness to learn and quickly acquire new technical skills in a rapidly evolving tech landscape.

The Team:

Join the Celonis Support Services team, part of a 3-Level Support model, as a dedicated 2nd Level Technical Support Engineer. You will be located in Madrid and report directly to the Director of Customer Support.

The Role:

As a Technical Support Engineer at Celonis, you are at the forefront of the intersection between enterprise-grade software and generative AI. Celonis enables global enterprises to realize the full value of AI, and we lead by example - integrating advanced AI tooling into our internal ecosystems to redefine the support experience.

We provide technical support across the full Celonis technical stack from infrastructure, front-end services through to automation and AI products. In this role, you won’t just be diagnosing and restoring complex technical issues, you will be an AI SME responsible for architecting the future of technical support. 

The work you’ll do:

Your responsibilities are focused on expert technical analysis, resolution of complex incidents, and driving continuous improvement in support operations:

• Provide 2nd Level technical support for customer issues across Celonis technical stack & products,
• As a core function, perform analysis, diagnosis, and recovery of complex technical issues, often requiring direct engagement with customers and internal Product and Engineering teams.
• AI Workflow Automation and Modeling that will assist with trouble-shooting in reduce MTTR
• AI SME & Strategy - serve as the Subject Matter Expert for AI in Support, taking ownership of training models and providing feedback loops to improve quality.
• Drive Knowledge Centred Service and Continual Service Improvement initiatives leveraging AI tooling with a strong focus on AI driven solution
• Participate in a day-time hours on-call schedule to ensure continuous global coverage.

The qualifications you need:

• Education: Bachelor of Computer Science, Engineering, or a related degree in the field of IT.
• Experience: Minimum 3 years of proven Technical Support experience handling complex technical issues and international customer inquiries whilst adhering to Service Level Agreements.
• Cloud Technologies: AWS or Azure certification and/or working experience in a mid to large sized Kubernetes / containerised environment.
• Demonstrated prompt engineering skills for optimizing AI outputs.
• Experienced in troubleshooting AI products, including hallucinations, reasoning issues, misbehavior and building AI Automations and Modeling
• Systems Administration: Proven experience with heterogeneous Linux/Unix systems.
• Coding Skills: Proficient in at least one programming language (e.g., Java) or a scripting language (e.g., Python).
• Databases: Experience with major database systems (e.g., SAP HANA, Oracle, MS SQL Server).

About the Role:  

Veeam, following its acquisition of Securiti AI - the leader in AI-powered data security posture management (DSPM) - is seeking experienced Sales Specialists to drive growth in this innovative business. 

In this role, you will focus exclusively on Securiti AI solutions, working closely with Veeam account executives to cross-sell into Veeam’s customer base, win new business, and expand existing Securiti AI accounts. You’ll have a shared territory with multiple AEs, strong earning potential, and support from a dedicated Securiti AI solution engineer for technical engagements. You’ll also benefit from Veeam’s robust go-to-market resources to ensure customer success. 

What You’ll Do: 

• Develop and execute a territory plan to drive repeatable revenue within assigned accounts.
• Collaborate with account executives to identify and maximize cross-sell opportunities for Securiti AI solutions.
• Lead the entire sales process, serving as a trusted advisor, and presenting compelling business cases to customers.
• Manage a pipeline of high-value opportunities, ensuring accurate forecasting and CRM discipline.
• Expand relationships with key channel partners and resellers to accelerate deal flow and market reach. 

What You’ll Bring: 

• Proven success closing complex enterprise software deals, with 10-15+ years in security software sales.
• Extensive experience managing multithreaded sales cycles involving multiple stakeholders.
• Strong existing relationships with C-suite executives and channel partners in large enterprises.
• Deep understanding of enterprise software sales, particularly in data security, management, or cybersecurity.
• Reputation for integrity, honesty, and building long-term customer relationships. 

What You’ll Get: 

Veeam offers benefits that support your whole self: 

• 22 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private medical insurance for employees and dependents through Sanitas, with unlimited coverage in-network and 90% coverage out-of-network medical services
• Life insurance with enhanced coverage and increased benefit for accidental death
• Disability insurance with enhanced coverage and increased benefit for accidental disability
• Enrollment in Spanish public health and social security system, including maternity/paternity care, unemployment benefits, and pension contributions
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning

Please note: If an applicant is permanently located outside of Spain, Veeam reserves the right to decline the application for this position.

#LI-DF1 #LI-REMOTE

About the Role:  

Veeam, following its acquisition of Securiti AI - the leader in AI-powered data security posture management (DSPM) - is seeking a Senior Sales Engineer to drive technical leadership in our sales team, focusing on the Securiti AI portfolio. You will partner with a Securiti Sales Specialist and support 3–5 Account Executives and Veeam Solution Engineers as the technical subject matter expert. 

You will guide customers from needs assessment to solution design, delivering hands-on demos and proof-of-concepts to showcase value. Success in this role requires strong technical skills and the ability to build trust with clients. 

What You’ll Do: 

• Act as the primary technical contact for Securiti AI solutions during the sales cycle
• Lead technical discussions and deliver customized security solutions
• Address customer needs in data discovery, posture management, and compliance
• Design and present product demonstrations and proof-of-concepts
• Collaborate with product, engineering, and customer success teams to ensure smooth transitions 

What You’ll Bring: 

• Significant experience in pre-sales or sales engineering
• Strong understanding of data and/or cloud security
• Effective communicator with both technical and business stakeholders
• 10+ years technical sales experience in security
• 15+ years in Software/SaaS/Enterprise technical sales
• Hands-on experience with AWS, Azure, or GCP
• Knowledge of data privacy/security standards (e.g., GDPR, NIST 800-53, ISO 27001)
• Experience with DSPM frameworks, Linux, Kubernetes, or cloud data systems
• Relevant certifications (CISSP, CISM, or cloud-specific) 

What You’ll Get: 

Veeam offers benefits that support your whole self: 

• 22 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private medical insurance for employees and dependents through Sanitas, with unlimited coverage in-network and 90% coverage out-of-network medical services
• Life insurance with enhanced coverage and increased benefit for accidental death
• Disability insurance with enhanced coverage and increased benefit for accidental disability
• Enrollment in Spanish public health and social security system, including maternity/paternity care, unemployment benefits, and pension contributions
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning

Please note: If an applicant is permanently located outside of Spain, Veeam reserves the right to decline the application for this position.

#LI-DF1 #LI-REMOTE

Job details
● 💼 Engineering Team
● 📍 Spain
● 🕜 Full-Time/Remote

What you will do

As a Data Engineer in our new Data Products team, you will play a key role in shaping the quality and business value of our core data assets. You will be hands-on in designing, building, and maintaining the data pipelines that serve teams across Lighthouse. You will act as a bridge between our data and the business, collaborating with stakeholders and ensuring our data effectively enables its consumers.

Where you will have impact

• Become the expert for key data products, understanding the full data lifecycle, quality, and business applications.
• Design, implement, and maintain the streaming and batch data pipelines that power our products and internal analytics.
• Collaborate directly with data consumers to understand their needs, gather requirements, and deliver data solutions.
• Deliver improvements in data quality, latency, and reliability.
• Show a product engineering mindset, focusing on delivering value and solving business problems through data.
• You will be at the forefront of our AI evolution, helping to embed intelligence into our platform. You’ll not only build AI features for our customers but also champion an AI-first development culture within the engineering team.
• Mentor other engineers, sharing your expertise and contributing to their growth.

About our team

The Data Products Team is the definitive source of truth for Lighthouse's data, sitting at the foundational layer of our entire data ecosystem.

Their core mission is to model and deliver high-quality, foundational data products that are essential ingredients for all downstream product features, machine learning models, and data science initiatives across the company:

• Data Modeling & Ownership: Defining and optimizing core data entities for product and analytical use.
• Pipeline Engineering: Building robust ETL/ELT pipelines to transform raw integrated data into trusted domains.
• Data Quality: Establishing standards and monitoring the health of all foundational data assets. 

We are the core of the Lighthouse platform. We take ingested data from our Integrations teams, turn it into usable data products, and provide that clean output to both the Product Engineering and Data Science & Analytics teams. We rely on the Data Platform team for infrastructure support and tooling.

What's in it for you?

• Flexible time off: Autonomy to manage your work-life balance.
• Alan Flex benefits: 160€/month for food or nursery.
• Flexible retribution: Optional benefits through tax-free payroll deductions for food, transportation and/or nursery. 
• Wellbeing support: Subsidized ClassPass subscription.
• Comprehensive health insurance: 100% Alan coverage for you, your spouse, and dependents.
• Impactful work: Shape products relied on by 85,000+ users worldwide.
• Referral bonuses: Earn rewards for bringing in new talent.

Who you are

• Experience in a data engineering role, with a proven track record of building scalable data pipelines.
• A product engineering mindset, with a focus on understanding business context and stakeholder needs.
• Professional proficiency in Python for data processing and pipeline development.
• Strong knowledge of cloud database solutions such as BigQuery, Snowflake, or Databricks.
• You are a forward-thinking builder who views AI as a core component of modern architecture. You have a proven interest (or experience) in working with LLMs, agentic workflows, or AI-assisted coding tools to ship higher-quality code, faster.
• Excellent communication and stakeholder management skills.

We welcome

• Experience with microservice architectures and data streaming systems like Kafka or Google Cloud Pub/Sub.
• Familiarity with data governance or data quality tools such as Atlan or Soda.
• Experience mentoring other engineers.

Technologies you will work with

Mostly, but not limited to: GCP, Python, BigQuery, Kubernetes, Airflow, dbt, Terraform, Atlan (data governance tool), Soda.

Data Engineer: Drive our AI Revolution & Data Ecosystem

Location: Madrid (Hybrid: 4 days office / 1 day WFH)

Stack: Python, SQL, Airflow, dbt, DuckDB, GCP, DLT, Docker.

Why Ebury?

At Ebury, we don’t just move money; we move the boundaries of what Fintech can achieve. Our strategic growth is powered by Data, and we are looking for a Data Engineer who wants to be at the heart of this transformation.

We aren't looking for "Jira ticket closers." We want problem solvers, tech enthusiasts, and proactive engineers who want to understand the why and for what behind the data and propose high-value projects that move the needle for the business.

The Challenge: Beyond Pipelines to AI-Ready Systems 

We are at an inflection point. Beyond maintaining a robust platform, we have a massive appetite for Machine Learning, LLMs, and Agents. Your mission won't just be moving bytes; it will be building the infrastructure that enables Ebury to lead the Gen-AI revolution in the financial sector.

Your Cutting-Edge Toolkit:

• Orchestration: Airflow (Cloud Composer) is our backbone.
• Cloud Power: The full GCP suite (GKE, Cloud Run, Functions, Artifact Registry).
• Smart Ingestion: We leverage DLT (Data Load Tool) to build seamless and scalable data pipelines.
• Modeling & Quality: We use dbt at scale, integrating DuckDB to enforce bulletproof Data Contracts.
• DevOps Culture: Dockerized environments and solid CI/CD are our standard in Github Actions.

What You'll Do

• Architect & Innovate: Design, deploy, and evolve ELT/ETL pipelines from diverse sources (APIs, transactional DBs, file-based endpoints).
• Champion AI/ML: Actively contribute to building the infrastructure for ML models and LLM-powered Agents.
• Business Partnership: Work closely with stakeholders to identify high-impact opportunities. If you see a better way to do things, you have the autonomy to lead it.
• Engineering Excellence: Apply top-tier software practices (SDLC, RFCs, unit testing) to ensure our platform is a benchmark for scalability.
• Growth & Mentorship: Benefit from a personalized 30/60/90 day plan designed to help you thrive from day one.

About You

You’ll be a great fit if:

• Python & SQL Mastery: You have a deep command of both (+5 years of experience).
• Agile Problem Solver: You thrive on unexpected daily challenges, delivering smart technical solutions at speed and iterating them into robust, production-grade systems. 🚀
• Business Partner: You are proactive and "business-curious", you want to understand the impact of your code on the bottom line.
• You are fluent in English (we are a global team!).

Bonus Points:

• Hands-on experience with LLMs, Vector Databases, or AI Agents. 
• Deep knowledge of DuckDB or DLT.
• Strong foundations in Dimensional Modeling and Data Warehousing.
• Spanish language skills (a plus for office life in Madrid!).

What We Offer

• Competitive Salary + Performance-based discretionary bonus.
• Vibrant Culture: Join a collaborative environment where Data Engineers, Data Scientists, Analytics Engineers, and Analysts work as one.
• Work-Life Balance: A modern hybrid model in our Madrid office to keep the team spirit alive while respecting your focus time.
• Open Source DNA: We follow Open Source principles internally and encourage you to contribute to external projects.
• Continuous Learning: Personal development through certifications and specialized training.

Excited about the role but don't tick every single box? Apply anyway! At Ebury, we value potential, proactivity, and a growth mindset over a perfect checklist. 

#LI-JC1

#LI-HYBRID

The profile is a specialist in the Blip product who acts as both a technical consultant and a user experience consultant.
Their main activities include: presentations and hands-on demonstrations of the Blip platform, leading meetings to gather requirements (discovery and workshops), analyzing the feasibility of implementations, and designing solution proposals to achieve client objectives.

You will work on finding a balance between the ideal user journey and the most efficient and feasible journey that can be built using Blip products. You will also interact with both the technical teams of our clients and the development and implementation teams of Blip products. For this, we expect you to understand the importance of teamwork, with a willingness to share knowledge, learn, and grow continuously.

Responsibilities and Duties

• Act as a technical consultant and specialist in the Blip platform.
• Lead meetings and workshops to understand client needs and propose efficient solutions.
• Create projects from initial concept through to demonstration.
• Guide clients toward optimized implementations, considering the technical details of the platform and Blip products.
• Collaborate with sales and Customer Success teams to unlock and develop new opportunities, deeply understanding business goals and industry trends.
• Support internal teams and clients in designing solutions to ensure the best use of the platform, following processes and best practices.
• Create functional diagrams for technical requirements.
• Develop high-level flows (macroflows) that describe the end-user journey.
• Define use cases focused on solving user problems.
• Evaluate the feasibility of conversational solutions.

Requirements and Qualifications

• Basic knowledge of programming languages: JavaScript, C#, .NET Core, etc.
• Ability to communicate with both technical and business audiences.
• Experience with demonstrations and knowledge of technology trends in the sector.
• Knowledge of building and implementing REST APIs.
• Experience in customer-facing roles.
• Clear and effective cross-functional communication.
• Familiarity with agile methodologies.
• Autonomy and self-management skills.
• Holistic and analytical mindset at the intersection of user, business, and technology.
• Appreciation for collaborative work and openness to feedback.
• Experience in metric-driven environments and data-based decision-making.
• Proficiency in English.

Nice to Have

• Experience in Product Design, Service Design, or UX Design focused on digital products.
• Experience in systems architecture.
• Commercial experience.
• Portfolio of developed projects.

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

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

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

Overview

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

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

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

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

What You’ll Do

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

An Ideal Candidate Should Have

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

What We Offer

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

Think you’re a good fit for this job? 

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

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

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

• Solve the most challenging firmware and hardware related issues with servers, involving in-depth knowledge of system architecture and advanced troubleshooting
• Execute workarounds and solutions for IT hardware issues
• Act as a subject matter expert and point of escalation for L1 and L2 technicians
• Create new processes and documentation for IT hardware team
• Collaborate with related departments to im
• Collaborate with vendors on warranty replacements (RMA), create requests and manage.
• Improve support processes, documentation and training materials

• Knowledge of datacenters, and server equipment
• Deep knowledge of IT hardware and practical experience of troubleshooting
• Skills working with the Unix/linux operating system and command line
• Experience with equipment monitoring, data analysis and presentation
• Proactiveness and sense of responsibility
• High proficiency in spoken and written English

Why this role matters:

We’re seeking a Java Software Engineer to join our Cloud Engineering team and help drive innovation across the Vonage Video Platform. This role will focus on enhancing our PaaS backend systems, improving cloud resource control and provisioning, and contributing to scalable architecture design and distributed computing solutions. 

As part of the team, you’ll contribute to both new feature development and backend system improvements, with a strong focus on quality, fault tolerance, and performance. You’ll gain hands-on experience with real-time communications, and use data to help improve how we build and scale our services.

This is a great opportunity to grow your skills by working on large-scale, highly available systems alongside a team of experienced engineers who are passionate about cloud infrastructure, media technologies, and real-time communication.

Your key responsibilities:

• Hands-on software development and system design.
• Implement new features for the cloud based API Gateway, Media Control and Signaling systems for the Vonage Video Platform.
• Contribute to software architectures for a highly distributed network application, resource optimization strategies, and real-time stream/message processing.
• Design and develop approaches to measure, evaluate and improve service quality.
• Collaborate on projects involving signalling fabric and coordinate with other teams.
• Embed AI assisted engineering into daily practice to accelerate delivery and enhance outcomes
• Proactively adopt emerging AI capabilities to improve workflows and shares best practices with the team

What you'll bring:

• Strong Java 17 coding skills, and willingness to learn more languages.
• JavaScript, and experience with HTML5 APIs all across different browser engine APIs in general.
• Understanding regarding memory management, garbage collection, concurrency.
• Excellent debugging and problem solving skills.
• Good understanding of algorithms, data structures.
• Track record of delivering high quality code in a fast-paced environment.

Experience we consider a plus:

• Proficiency in the Netty framework for high-performance network programming.
• Strong experience with Spring Boot for building scalable and robust APIs.
• Hands-on expertise with message brokers such as Apache Kafka, ZeroMQ, RabbitMQ, or similar queueing systems.
• Working knowledge of Redis, Kubernetes, Helm, Docker, AWS, and ElastiCache for cloud-native and distributed systems.
• Experience with CI/CD pipelines using Jenkins or equivalent tools.
• Familiarity with Go programming language.
• Understanding of communication technologies, protocols, and standards such as VoIP, SIP, H.323, XMPP, etc.

#LI-JM1

We are looking for a Senior Quantum Field Engineer. As a Senior Quantum Field Engineer, you’ll be part of a team whose mission is to lead IonQ on its journey to build the world’s best quantum solutions and solve the world’s most complex problems.  Field Engineering sits at the intersection of customers, markets, products and product teams, algorithms, applications, innovation and strategy - this is the team where ideas become applied and have impact.

Join a nimble team of scientists, engineers, salespeople, marketers, business developers, and product managers to drive an entirely new quantum computing business. We’re seeking versatile engineers and architects skilled in technical sales, technical demos and customer interactions who feel energized to deliver IonQ’s quantum computing products and quantum applications. 

Responsibilities:

• Inspire prospective clients by explaining IonQ’s strategy, portfolio and answering technical questions about quantum portfolio (compute, network, security, sensing and space) and quantum applications.
• Lead and shepherd client discussions, inspiring them to see how quantum applications can be implemented in their business domain.
• This includes working through business needs and mapping Quantum Algorithms (financial services, bioscience, chemistry and materials, optimization, generative AI, and other domains) into application code and executing Proof-of-Concepts together with the IonQ Application team.
• Share insights from clients with the IonQ Product Management and Engineering teams such that client feedback is incorporated into our products.
• Navigate competitive objection handling
• Translate business needs expressed by our clients into technical work projects in collaboration with other team members.
• Create assets to explain features of our quantum applications and other IonQ quantum products.
• Move dialogs from initial ideation to focused exploration domain through to proof-of-concept and ultimately into production workflows.
• Lead client discovery sessions for business-oriented use cases that uncover potential overlap with development of useful quantum algorithms together with the IonQ Application team
• Partner with marketing, developer relations and business development to grow awareness of IonQ in the world at large.
• Attend industry conferences, as needed, to talk to client and support our booth activities.
• Some travel expected in the US (20%) but opportunities for global travel are available as well for client meeting and IonQ conference activities.
• This is a technical customer-facing role with the appropriate balance of compensation acceleration for success and a base salary to ensure that credibility and technical correctness always come first.

You’d be a good fit with:

• 5 years of experience in technical customer-facing roles or equivalent capacity.  The ability to communicate (at the various context-appropriate levels of depth) and persuade clearly, have strong EQ, and other customer facings skills are critical.
• Bachelor’s degree or above in Computer Science, Machine Learning, Data Science, or other STEM field, such as Chemistry, Physics or Engineering
• Motivated learner with a strong interest in quantum computing.

You’d be a great fit with: 

• Masters or PhD in a STEM field, perhaps adjacent to quantum computing.
• Time on the customer side in various verticals included leadership roles - this provides customer empathy
• Hands-on experience with Qiskit, Cirq or other quantum computing SDK.
• Proficient in Python and Jupyter Notebooks.
• Expert architecture skills across various technologies (“full stack skills”)
• Experience leading technical events.

Location: Spain 
Travel: 20% travel domestically and globally
Job ID:  1408

Location: Looking for Australian / Korean citizens / visa holders willing to stay in our Global Hubs for an initial onboarding period of 12 months before relocating into one of our local offices in the APAC market.

The Team

As an Applied AI Engineer, you are part of our Value Engineering team and are the trusted advisor for customers working on the intersection of technology and business. As a so-called Value Engineer (VE), you partner with sales and customers to create compelling and innovative technical solutions to critical business problems leveraging cutting edge (AI) capabilities within our Celonis Process Intelligence Platform. A great VE understands the customer, the technology, and the sales cycle making it what may be the most interesting, challenging, and fulfilling role in Enterprise Software

You will be joining the Global VE Center of Excellence which is an international, diverse, and dynamic organization at the core of the Celonis Value Engineering team supporting our local field teams. As a team, we enjoy working in a fast-paced environment and share a sense of belonging to a community that wants to learn and grow together. The team culture is one based on building trust, continuous development, and improvement through coaching & mentoring. 

The Role

Talented individuals launch their careers in the enterprise software world by joining the Orbit Graduate Program as an Associate Value Engineer.

The 12-month program is a unique experience to fast start your career in the SaaS Industry that highlights hands-on learning, mentorship, and a team culture where we rely on each other to learn, grow and achieve. The program is designed to develop essential VE skills & competencies and establish strong lasting relationships allowing you to grow your career at Celonis. 

Your journey will start with onboarding & enablement to develop your business and Celonis skills through a combination of hands-on experience in customer engagements and different pieces of training which cover amongst others the Celonis Process Intelligence, domain knowledge, presentation & demo skills, discovery & objection handling as well as value selling. 

The work you’ll do:

• Work as part of the Global VE CoE to support the APAC Value Engineering team on customer engagements
• Collaborate with customers to uncover their core business challenges and determine how Celonis Process Intelligence can help them achieve their business objectives and AI Strategy
• Execute proof projects showcasing the value of Celonis Process Intelligence, frame a quantitative business value and deliver presentations to senior executives to drive investment decisions
• Prototype and develop AI solutions tailored to customer needs, including both traditional machine learning, LLM-based solutions and orchestration technology
• Drive change management and value realisation and ensure a positive return on investment
• Build strong relationships with our customers by winning their trust through technical, product expertise, and business acumen to act as a trusted advisor
• Collaborate and share customer insights & feedback with internal Product and Engineering teams to influence and co-develop (AI) product innovations
• Create re-usable collateral, best practices & tools within the Global VE Center of Excellence and feed them back to the regional Value Engineering team
• Travel to the APAC region to meet clients in person to ensure the success of customer engagements

The qualifications you need:

We are looking for people who enjoy solving problems, think outside the box, and are not afraid to make and learn from mistakes. In particular, we seek “builders” who thrive in fast-paced environments and can rapidly develop solutions and pilots using our platform and AI technologies.

You have a bachelors and/or masters degree in (Industrial) Engineering, Computer Science, Data Science / Business Analytics, AI/ML, Mathematics or other related fields, as well as valuable work/internship experience. You’re curious, self-motivated, enjoy continuous learning, and you want to work in a lively environment characterized by high growth.

You are successful as a Value Engineer if you:

• Have a passion for technology, data and AI and the impact it can have on the world
• Have a hunger to learn new technologies and bring at least basic knowledge or hands-on experience in SQL and/or Python
• Any exposure to process mining principles and completion of Celonis "Rising Star" modules would be a welcome indicator of your eagerness to develop in this field
• Are able to think analytically and creatively, especially in applying technology solutions to core business problems
• Are focused on creating and adding value for customers
• Have an entrepreneurial mindset and the ability to multi-task, prioritize and execute
• Are able to build relationships with senior management and influence decision-makers
• Are confident to present to C-level executives and larger audiences
• Are willing to travel to the APAC region to meet clients in person
• Are an effective communicator and fluent in English (and Korean, if applying for Korean market).

Location: Looking for Japanese citizens / visa holders, fluent in Japanese, willing to stay in Madrid for 12 months before having the view to relocate to Tokyo. Customer base will be in Japan, involving travel to meet clients in person.

The Team

As an Associate AI Applied Engineer, you are part of our Value Engineering team and are the trusted advisor for customers working on the intersection of technology and business. As a so-called Value Engineer (VE), you partner with sales and customers to create compelling and innovative technical solutions to critical business problems leveraging cutting edge (AI) capabilities within our Celonis Process Intelligence Platform. A great VE understands the customer, the technology, and the sales cycle making it what may be the most interesting, challenging, and fulfilling role in Enterprise Software

You will be joining the Global VE Center of Excellence which is an international, diverse, and dynamic organization at the core of the Celonis Value Engineering team supporting our local field teams. As a team, we enjoy working in a fast-paced environment and share a sense of belonging to a community that wants to learn and grow together. The team culture is one based on building trust, continuous development, and improvement through coaching & mentoring. 

The Role

Talented individuals launch their careers in the enterprise software world by joining the Orbit Graduate Program as an Associate Value Engineer.

The 12-month program is a unique experience to fast start your career in the SaaS Industry that highlights hands-on learning, mentorship, and a team culture where we rely on each other to learn, grow and achieve. The program is designed to develop essential VE skills & competencies and establish strong lasting relationships allowing you to grow your career at Celonis. 

Your journey will start with onboarding & enablement to develop your business and Celonis skills through a combination of hands-on experience in customer engagements and different pieces of training which cover amongst others the Celonis Process Intelligence, domain knowledge, presentation & demo skills, discovery & objection handling as well as value selling. 

The work you’ll do:

• Work as part of the Global VE CoE to support the Japan Value Engineering team on customer engagements
• Collaborate with customers to uncover their core business challenges and determine how Celonis Process Intelligence can help them achieve their business objectives and AI Strategy
• Execute proof projects showcasing the value of Celonis Process Intelligence, frame a quantitative business value and deliver presentations to senior executives to drive investment decisions
• Prototype and develop AI solutions tailored to customer needs, including both traditional machine learning, LLM-based solutions and orchestration technology
• Drive change management and value realisation and ensure a positive return on investment
• Build strong relationships with our customers by winning their trust through technical, product expertise, and business acumen to act as a trusted advisor
• Collaborate and share customer insights & feedback with internal Product and Engineering teams to influence and co-develop (AI) product innovations
• Create re-usable collateral, best practices & tools within the Global VE Center of Excellence and feed them back to the regional Value Engineering team
• Travel to the Japan region to meet clients in person to ensure the success of customer engagements

The qualifications you need:

We are looking for people who enjoy solving problems, think outside the box, and are not afraid to make and learn from mistakes. In particular, we seek “builders” who thrive in fast-paced environments and can rapidly develop solutions and pilots using our platform and AI technologies.

You have a bachelors and/or masters degree in (Industrial) Engineering, Computer Science, Data Science / Business Analytics, AI/ML, Mathematics or other related fields, as well as valuable work/internship experience. You’re curious, self-motivated, enjoy continuous learning, and you want to work in a lively environment characterized by high growth.

You are successful as a Value Engineer if you:

• Have a passion for technology, data and AI and the impact it can have on the world
• Have a hunger to learn new technologies and bring at least basic knowledge or hands-on experience in SQL and/or Python
• Any exposure to process mining principles and completion of Celonis "Rising Star" modules would be a welcome indicator of your eagerness to develop in this field
• Are able to think analytically and creatively, especially in applying technology solutions to core business problems
• Are focused on creating and adding value for customers
• Have an entrepreneurial mindset and the ability to multi-task, prioritize and execute
• Are able to build relationships with senior management and influence decision-makers
• Are confident to present to C-level executives and larger audiences
• Are willing to travel to the Japan region to meet clients in person
• Are an effective communicator and fluent in English and Japanese

Location: Looking for Japanese citizens / visa holders, fluent in Japanese, willing to stay in Madrid for 12 months before having the view to relocate to Tokyo. Customer base will be in Japan, involving travel to meet clients in person.

The Team

As an Associate AI Applied Engineer, you are part of our Value Engineering team and are the trusted advisor for customers working on the intersection of technology and business. As a so-called Value Engineer (VE), you partner with sales and customers to create compelling and innovative technical solutions to critical business problems leveraging cutting edge (AI) capabilities within our Celonis Process Intelligence Platform. A great VE understands the customer, the technology, and the sales cycle making it what may be the most interesting, challenging, and fulfilling role in Enterprise Software

You will be joining the Global VE Center of Excellence which is an international, diverse, and dynamic organization at the core of the Celonis Value Engineering team supporting our local field teams. As a team, we enjoy working in a fast-paced environment and share a sense of belonging to a community that wants to learn and grow together. The team culture is one based on building trust, continuous development, and improvement through coaching & mentoring. 

The Role

Talented individuals launch their careers in the enterprise software world by joining the Orbit Graduate Program as an Associate Value Engineer.

The 12-month program is a unique experience to fast start your career in the SaaS Industry that highlights hands-on learning, mentorship, and a team culture where we rely on each other to learn, grow and achieve. The program is designed to develop essential VE skills & competencies and establish strong lasting relationships allowing you to grow your career at Celonis. 

Your journey will start with onboarding & enablement to develop your business and Celonis skills through a combination of hands-on experience in customer engagements and different pieces of training which cover amongst others the Celonis Process Intelligence, domain knowledge, presentation & demo skills, discovery & objection handling as well as value selling. 

The work you’ll do:

• Work as part of the Global VE CoE to support the Japan Value Engineering team on customer engagements
• Collaborate with customers to uncover their core business challenges and determine how Celonis Process Intelligence can help them achieve their business objectives and AI Strategy
• Execute proof projects showcasing the value of Celonis Process Intelligence, frame a quantitative business value and deliver presentations to senior executives to drive investment decisions
• Prototype and develop AI solutions tailored to customer needs, including both traditional machine learning, LLM-based solutions and orchestration technology
• Drive change management and value realisation and ensure a positive return on investment
• Build strong relationships with our customers by winning their trust through technical, product expertise, and business acumen to act as a trusted advisor
• Collaborate and share customer insights & feedback with internal Product and Engineering teams to influence and co-develop (AI) product innovations
• Create re-usable collateral, best practices & tools within the Global VE Center of Excellence and feed them back to the regional Value Engineering team
• Travel to the Japan region to meet clients in person to ensure the success of customer engagements

The qualifications you need:

We are looking for people who enjoy solving problems, think outside the box, and are not afraid to make and learn from mistakes. In particular, we seek “builders” who thrive in fast-paced environments and can rapidly develop solutions and pilots using our platform and AI technologies.

You have a bachelors and/or masters degree in (Industrial) Engineering, Computer Science, Data Science / Business Analytics, AI/ML, Mathematics or other related fields, as well as valuable work/internship experience. You’re curious, self-motivated, enjoy continuous learning, and you want to work in a lively environment characterized by high growth.

You are successful as a Value Engineer if you:

• Have a passion for technology, data and AI and the impact it can have on the world
• Have a hunger to learn new technologies and bring at least basic knowledge or hands-on experience in SQL and/or Python
• Any exposure to process mining principles and completion of Celonis "Rising Star" modules would be a welcome indicator of your eagerness to develop in this field
• Are able to think analytically and creatively, especially in applying technology solutions to core business problems
• Are focused on creating and adding value for customers
• Have an entrepreneurial mindset and the ability to multi-task, prioritize and execute
• Are able to build relationships with senior management and influence decision-makers
• Are confident to present to C-level executives and larger audiences
• Are willing to travel to the Japan region to meet clients in person
• Are an effective communicator and fluent in English and Japanese

Summary

As a Technical Account Manager (TAM), you’ll be responsible for planning and executing strategies to drive customer adoption and use of the Wiz platform.

Ideally based in Madrid, you will provide both strategic and hands-on technical guidance to customers throughout the Wiz journey, from onboarding to operationalization.

Technical expertise and strong customer-facing skills will be essential in address both the business and technical needs of our customers. Serving as the bridge between customers and the broader Wiz team, you'll streamline collaboration between Product Management, Sales, Engineering and Support for a cohesive customer experience.

Join Wiz as a TAM to contribute to customer success and to be a part of an innovative and collaborative company that values excellence and growth.

What you’ll do

• Provide customers with expert guidance on deployment, operational best practices, and assist in establishing a Wiz Center of Excellence.
• Serve as the primary Wiz liaison for technical questions or escalations, collaborating with Support, Product Management, and other relevant teams.
• Contribute to workshops aimed at helping customers unlock the full value of the Wiz platform.
• Develop trusted advisor relationships and establish a regular cadence with customer stakeholders from practitioners to C-level, with a focus on increasing adoption, ensuring retention, and fostering satisfaction.
• Help customers develop Success Plans, outlining critical goals and key performance indicators, and provide guidance in achieving these objectives.
• Measure customers’ achievement of these key performance indicators and report those both internally and externally.
• Identify and address technical issues to ensure high levels of customer satisfaction.
• Collaborate with Engineering and Support teams to resolve technical escalations quickly and efficiently.
• Advocate for customer needs across various departments (product management, support, ...).
• Offer insights regarding the availability of new features in Wiz.
• Program manage account escalations effectively.
• Collaborate with the Wiz Sales and Renewal teams to secure contract renewals.
• Assist in identifying opportunities for expanding Wiz usage across the customer’s organization.
• Maintain up-to-date functional and technical knowledge of the Wiz platform.
• Continuously monitor news related to new & emerging cloud security threats.
• Grow your knowledge of the Wiz ecosystem (Cloud Service Providers, Technology partners, ...)

What you’ll bring

• 3+ years of experience in technical customer facing roles, for example: Technical Account Manager, Professional Services, Solutions Engineering, Technical Support, Customer Success Engineer.
• Strong understanding of cloud services, architectures, and security best practices, with CSP level certifications (e.g., Certified Solutions Architect, Certified DevOps Engineer) preferred.
• Familiarity with container technologies (Docker, Kubernetes) and the security considerations associated with them.
• Strong problem-solving skills, with the ability to troubleshoot complex technical issues and drive resolution.
• Proven track record of building and maintaining relationships with enterprise clients, driving customer success, and exceeding performance targets.
• Excellent communication and interpersonal skills, with the ability to effectively engage with stakeholders at all levels of an organization.
• B.S. in Computer Science, Engineering, or similar field, or equivalent experience.
• Fluent English and Portuguese

Summary

As a Technical Account Manager (TAM), you’ll be responsible for planning and executing strategies to drive customer adoption and use of the Wiz platform.

Ideally based in Spain and be able to speak fluent Spanish and English, you will provide both strategic and hands-on technical guidance to customers throughout the Wiz journey, from onboarding to operationalization.

Technical expertise and strong customer-facing skills will be essential in address both the business and technical needs of our customers. Serving as the bridge between customers and the broader Wiz team, you'll streamline collaboration between Product Management, Sales, Engineering and Support for a cohesive customer experience.

Join Wiz as a TAM to contribute to customer success and to be a part of an innovative and collaborative company that values excellence and growth.

What you’ll do

• Provide customers with expert guidance on deployment, operational best practices, and assist in establishing a Wiz Center of Excellence.
• Serve as the primary Wiz liaison for technical questions or escalations, collaborating with Support, Product Management, and other relevant teams.
• Contribute to workshops aimed at helping customers unlock the full value of the Wiz platform.
• Develop trusted advisor relationships and establish a regular cadence with customer stakeholders from practitioners to C-level, with a focus on increasing adoption, ensuring retention, and fostering satisfaction.
• Help customers develop Success Plans, outlining critical goals and key performance indicators, and provide guidance in achieving these objectives.
• Measure customers’ achievement of these key performance indicators and report those both internally and externally.
• Identify and address technical issues to ensure high levels of customer satisfaction.
• Collaborate with Engineering and Support teams to resolve technical escalations quickly and efficiently.
• Advocate for customer needs across various departments (product management, support, ...).
• Offer insights regarding the availability of new features in Wiz.
• Program manage account escalations effectively.
• Collaborate with the Wiz Sales and Renewal teams to secure contract renewals.
• Assist in identifying opportunities for expanding Wiz usage across the customer’s organization.
• Maintain up-to-date functional and technical knowledge of the Wiz platform.
• Continuously monitor news related to new & emerging cloud security threats.
• Grow your knowledge of the Wiz ecosystem (Cloud Service Providers, Technology partners, ...)

What you’ll bring

• 3+ years of experience in technical customer facing roles, for example: Technical Account Manager, Professional Services, Solutions Engineering, Technical Support, Customer Success Engineer.
• Strong understanding of cloud services, architectures, and security best practices, with CSP level certifications (e.g., Certified Solutions Architect, Certified DevOps Engineer) preferred.
• Familiarity with container technologies (Docker, Kubernetes) and the security considerations associated with them.
• Strong problem-solving skills, with the ability to troubleshoot complex technical issues and drive resolution.
• Proven track record of building and maintaining relationships with enterprise clients, driving customer success, and exceeding performance targets.
• Excellent communication and interpersonal skills, with the ability to effectively engage with stakeholders at all levels of an organization.
• B.S. in Computer Science, Engineering, or similar field, or equivalent experience.
• Fluent Spanish and English

The Challenge  

We’re looking for a (Senior) Principal Solutions Engineer to join our Solution Engineering team. 
In this role, you will lead the development and execution of OneTrust’s AI Governance and Data Use Governance solutions within the Solutions Engineering function. Acting as a strategic bridge between Product and Sales, you will ensure effective sales execution across our international markets — including Europe, LATAM, APAC, and the Middle East. You will be responsible for assessing the technical fit of OneTrust’s AI Governance (and future Data Use Governance) solutions, ensuring we consistently achieve technology wins in the opportunities we pursue. 

 Location: Madrid.Hybrid. This is not a 100% remote role.

Your Mission  

• Serve as technical expert on major sales opportunities, including the preparation of technical demonstration proposals, RFPs and custom proof-of-concepts evaluations to demonstrate OneTrust’s integration capabilities to meet client objectives  

• Instrumental in technical deep dive discussions to architect integrations and advice customers on suggested best practices  

• Support Sales Teams with client meetings, presentations, and custom integration design options  

• Coordinates with internal R&D, technical integrations, partner integrations teams to stay on top of product capabilities as well as future direction  

• Support Sales and Marketing in production of high-quality sales proposals and supporting assets  

• Maintain all sales cycle activities within the Salesforce.com CRM system  

You Are 

A technical leader with strong system design and hands-on execution skills, who understands how enterprises use Data and AI in real-world workflows and can translate those needs into scalable, secure, and compliant platform solutions. You have intrinsic motivation to educate yourself in this dynamic and fastmoving market and want to seize the opportunity to build your own brand and expertise by attending and speaking at market leading events. 

Your Experience Includes  

• BA/BS in Computer Science, Engineering or equivalent   

• 8+ years of relevant experience, ideally in the technology industry and/or an Enterprise Cloud-based Software company  

• Experience selling, configuring and delivering software demonstrations 

• Knowledge and/or work experience with API's 

• Experience with implementing software products or solutions to enterprise companies  

• Knowledge of web applications, SaaS architecture, cloud computing and programming  

• Experience with different databases (Relational and document) is a strong asset. 

• Ability to build relationships across stakeholders in R&D, marketing, sales and engineering  

• Strong entrepreneurial skills to excel in a complex and rapidly evolving environment  

• Willingness to travel, as job requires 

Responsibilities

We are looking for an exceptional Senior Backend Developer (Ruby) to join our growing Engine team. The Engine team develops and maintains most things related to Workato Recipe runtime. Everything related to recipe execution: DSL, pulling events, processing webhooks, executing jobs. There are various aspects to it: performance, scaling, storage, durability, atomicity, concurrency guarantees, data protection, and encryption. 

 In this role, you will also be responsible to:

• Build/extend/troubleshot/fix complex heterogeneous GOlang and Ruby applications, as well as small self-contained GOlang microservices.

• Improve execution engine of custom third-party code (Ruby DSL, isolation, performance, new features).

• Write well designed, testable, efficient code in Ruby and GOlang.

• Integration of data storage solutions Postgres/S3/DynamoDB/Kafka/ClickHouse etc.

• Contribute in all phases of the development lifecycle.

• Provide code reviews to your teammates.

• Provide technical leadership. Work with other teams on shared projects.

• Evaluate and propose improvements to existing systems.

• Identify bottlenecks and bugs, and devise solutions to these problems.

• Help maintain code quality, organization and automatization.

• We always explore new technologies and work with Rust and Wasm can be foreseen.

Requirements

Qualifications / Experience / Technical Skills

• Strong experience in building scalable distributed backend applications (7+ years).

• Excellent understanding of distributed systems patterns and algorithms.

• Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.

• Excellent understanding of network protocols and stacks.

• Excellent understanding of DB technologies: classic databases and modern no-SQL.

• Knowledge of all common basic data structures and algorithms and how they are used is a must.

• Multilingual programming experience: our code base is primarily in Ruby, with a trend to migrate to GOlang and Rust. At least two languages are required.

• At least basic understanding of cloud deployments (k8s, Terraform, ArgoCD)

• Experience of working with public cloud infrastructure providers(AWS/Azure/Google Cloud).

• Excellent debugging, analytical, problem solving, and social skills.

• BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience.

Optional

• Background in GOlang, Rust, WASM.

• Background in network programming.

• Background in Kotlin/Multiplatform. 

• Background in application, data security.

• Deep knowledge of physical DB design.

• Experience of working with Docker and other isolation technologies.

• Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc).

• Experience in building/deploying data processing pipelines is a plus.

• Experience of working with third-party REST APIs at scale (request throttling, batch processing etc).

Soft Skills / Personal Characteristics

• Ability to technically lead projects. Work with requirements, cost analysis.

• Readiness to work remotely with teams distributed across the world and timezones.

(REQ ID: 2343)

Responsibilities

We are looking for a Senior Platform Infrastructure Engineer to work as a part of the Infrastructure/CICD team. In this role, you will be responsible for some of the items below:

• Participate in building the modern cloud-native scalable, flexible and extensible Internal Platform solution based on Temporal and other tools with focus on optimized cost, availability, stability, security and compliance, DevEx, performance, minimal on-boarding time.

• Maintain and enhance current solutions for the Workato Internal Platform with focus on health, stability, performance & DevEx

• On-board Workato components & applications to Internal Platform.

• Implement pipelines to automate security, reliability, and availability best practices during all stages of software lifecycle.

• Implement complex deployment scenarios, including dynamic environments, progressive rollouts such as canary deployments, chaos engineering, etc.

• Work with engineering teams to better address needs and enable more effective and efficient developer throughput and improve services through rigorous testing and release.

• Gather and analyze metrics from CICD pipelines and infrastructure to assist in performance tuning and stability improvements.

• Participate in system design consulting, platform management, and architecture reviews.

• Document development processes and best practices.

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

• Identify and drive opportunities to improve automation for code integration, quality testing, security scanning and deployment.

If you’re looking for a real challenge in terms of mission criticality, multi-geographic region deployments, diversity of managed services then this might be the position for you!

Requirements

Qualifications / Experience / Technical Skills

• Proficiency in one or more programming languages such as Go, Python, Java, JavaScript, Python, with preference to Go

• Experience with creating internal platform tooling, e.g. CLI tools, etc

• Experience creating scalable development and integration pipelines with tools such as ArgoCD, Argo Workflows, GitHub Actions, or similar solutions.

• Experience creating application deployments of Kubernetes-based services using tools like Kustomize, Helm, ArgoCD or similar ones using release engineering practices such as GitOps.

• Experience with cloud-based architectures like Amazon Web Services and knowledge of related Infrastructure as Code & CICD practices.

• Strong understanding of networking fundamentals and web services architecture.

• Experience with managing complex infrastructure (such as Kubernetes clusters, VPC networking and security policies) using Infrastructure as Code tools (e.g. Terraform or CloudFormation).

• Hands-on experience with containers (creating and optimizing Dockerfiles, using docker-compose), deep understanding of underlying and related technologies (kernel features, container networking, image structure & registry). 

• Familiarity with software packaging tools, functional testing, security validation tools and services, code coverage tools.

• BS or MS in the CS field (or equivalent experience).

• 5+ years professional experience in hands-on engineering roles (Platform Engineer / Software Engineer /  DevOps / SRE / CICD).

(REQ ID: 2718)

We are looking for a Distributed Systems Engineer with experience in building high-performing, scalable, enterprise-grade applications. You will be responsible for building API interfaces (for customers, UI team etc). You will be responsible for building a high performance queuing/storage engine. You will collaborate with UI, connectivity and DevOps teams to come up with elegant solutions to complex problems. You will work in a polyglot environment where you can learn new languages and technologies whilst working with an enthusiastic team.

Responsibilities

• Responsibilities include designing and developing high-volume, low-latency applications for mission-critical systems and delivering high-availability and performance

• Contribute in all phases of the development lifecycle

• Write well designed, testable, efficient code

• Evaluate and propose improvements to existing system

Requirements

• 5+ years of industry experience

• Experience building and shipping large-scale, reliable, highly distributed systems

• Systems-level programming experience, especially in C, Go, Rust

• Expertise in L2, L3, and/or L4 networking protocols

• Good understanding of Linux networking and security

• Experience building on top of Linux kernel networking primitives – netfilter, nftables, eBPF, tc, network namespaces, etc

• Experience with large-scale distributed data pipelines, from data structuring to efficient querying to data analysis

• Experience of working with public cloud infrastructure providers (AWS/Azure/Google Cloud)

• Understanding of Kubernetes concepts

• Excellent debugging and optimization skills

• Understanding at the protocol level, including the differences between what the specs say, and what actually happens on the Internet

• Contributions to open source projects is a plus

• Excited by the idea of optimizing complex solutions to general problems

• Attention to detail and ability to solve complex customer problems

• Own solutions end-to-end and driving the design, development, and deployment process

• Able to work across teams and level common, sustainable solutions

Responsibilities

We are looking for an exceptional Senior Backend Developer (GOlang) to join our growing Engine team. The Engine team develops and maintains most things related to Workato Recipe runtime. Everything related to recipe execution: DSL, pulling events, processing webhooks, executing jobs. There are various aspects to it: performance, scaling, storage, durability, atomicity, concurrency guarantees, data protection, and encryption.

• Build/extend/troubleshot/fix complex heterogeneous GOlang applications, as well as small self-contained GOlang microservices.

• Improve execution engine of custom third-party code (isolation, performance, new features).

• Write well designed, testable, efficient code in GOlang.

• Integration of data storage solutions Postgres/S3/DynamoDB/Kafka/ClickHouse etc.

• Contribute in all phases of the development lifecycle.

• Provide code reviews to your teammates.

• Evaluate and propose improvements to existing system.

• Identify bottlenecks and bugs, and devise solutions to these problems.

• Help maintain code quality, organization and automatization. 

Requirements

Qualifications / Experience / Technical Skills

• Strong experience in building scalable distributed backend applications (7+ years).

• Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.

• Good understanding of network protocols and stacks.

• Good understanding of DB technologies: classic databases and modern no-SQL.

• Knowledge of basic data structures and algorithms and how they are used is a must.

• Excellent debugging, analytical, problem solving, and social skills.

• BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience.

Can be a plus

• Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc).

• Experience in building/deploying data processing pipelines.

Soft Skills / Personal Characteristics

• Readiness to work remotely with teams distributed across the world and timezones.

Job Req ID: 2314

Responsibilities

We are looking for a Senior Python Engineer to play a key role in building the core of our AI platform. In this position, you will design and develop production-grade systems that power intelligent automation, agentic workflows, and large-scale retrieval services. This is a highly technical, hands-on role that involves close collaboration with product and platform teams to transform advanced AI concepts into reliable, scalable, and secure solutions used across our enterprise ecosystem. You will also be responsible to:

• Design, build, and maintain AI-powered services and APIs, leveraging LLMs (OpenAI, Anthropic, Qwen, OSS models) and custom ML models.

• Develop an enterprise-grade agentic framework that enables orchestration, retrieval, and collaboration between multiple AI agents.

• Implement and optimize knowledge retrieval systems and agentic search capabilities using vector databases such as Qdrant and ElasticSearch.

• Write well-structured, efficient, and testable Python code for production services, experimentation, and internal developer tools.

• Build and maintain shared Python libraries and SDKs used across multiple applications and microservices.

• Collaborate with cross-functional teams on architecture, internal protocols, and API standards to ensure consistency and reliability across the platform.

• Develop and enhance monitoring, validation, and observability for production-grade AI solutions.

• Drive the full software development lifecycle - from design and implementation to deployment, monitoring, and continuous improvement.

• Identify and resolve performance bottlenecks, reliability issues, and scaling challenges in complex, data-intensive environments.

• Participate in code reviews and technical discussions, mentoring other engineers and contributing to a culture of excellence.

Example Projects

• Building an evaluation and observability framework for AI model performance and reliability.

• Developing an agentic orchestration platform that enables collaboration among multiple AI agents and tools.

• Implementing semantic retrieval and agentic search capabilities over large enterprise knowledge bases.

• Designing AI services that process and reason over high-volume real-world data at scale.

Requirements

Qualifications / Experience / Technical Skills

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

• 5+ years of experience as a Software Engineer, with strong proficiency in Python.

• Proven track record of building and maintaining production-grade systems using Python.

• Strong understanding of distributed systems, API design, and data-driven architectures.

• Experience with relational and non-relational databases (PostgreSQL, Elastic, Qdrant, or similar).

• Familiarity with AI/ML system design, including LLM integration and evaluation pipelines.

• Knowledge of DevOps and observability practices (CI/CD, monitoring, metrics, and model validation).

• Python • FastAPI • LLM APIs (OpenAI, Anthropic, Qwen, OSS) • LiteLLM • Qdrant • PostgreSQL • ElasticSearch • Langfuse • Kubernetes • GitHub Actions • ArgoCD

Preferred Skills

• Experience working with multiple LLM providers (OpenAI, Anthropic, Qwen, open-source models).

• Background in developer platforms or AI infrastructure services.

• Familiarity with vector databases, semantic retrieval, and knowledge graph architectures.

• Exposure to Langfuse, LiteLLM, LangChain, or similar frameworks.

• Experience developing enterprise-scale SaaS or distributed backend systems.

• Contributions to open-source projects in Python, AI, or infrastructure engineering.

Soft Skills / Personal Characteristics

• Excellent communication skills, with the ability to convey complex technical ideas clearly to both technical and non-technical audiences.

• Collaborative and proactive approach, comfortable working across teams in a dynamic environment.

• Strong analytical and problem-solving abilities, with a focus on continuous improvement and innovation.

• Curiosity and a genuine interest in emerging AI technologies and modern backend architectures.

(REQ ID: 2459)

Responsibilities

We are looking for an exceptional Senior Software Engineer to join our growing team. In this role, you will be responsible for building API interfaces and backend infrastructure and collaborate with UI, connectivity and DevOps teams to come up with elegant solutions to complex problems. You will also be responsible to:

• Build complex Ruby on Rails applications.

• Build server side infrastructure for Workato user interface.

• Contribute in all phases of the development lifecycle

• Write well designed, testable, efficient code.

• Evaluate and propose improvements to existing system.

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

Requirements

Qualifications / Experience / Technical Skills

• Strong experience developing, shipping and maintaining Rails applications (5+ years)

• Vast knowledge of Ruby

• BS/MS degree in Computer Science, Engineering or a related subject

• Solid knowledge of object-oriented programming and design

• Experience with Redis/Memcache based caching, RDBMS engines(Postgres)

• Solid knowledge of object-oriented programming and design

• Contributions to open source projects is a plus

Soft Skills / Personal Characteristics

• Excellent debugging, analytical, problem solving, and social skills

(REQ ID: 2380)

We are looking for a Mid-Level Data Engineer to join our Revenue Operations team, responsible for building, scaling, and maintaining data pipelines that support strategic revenue decisions.

This role plays a key part in connecting data across Marketing, Sales, Customer Success, and Finance, ensuring high data quality, reliability, and availability.

The position requires on-site presence in Madrid, with close collaboration across cross-functional teams in a fast-paced and constantly evolving environment.

Responsibilities

1. Data Engineering (Core)

• Design, build, and maintain scalable and reliable data pipelines (ETL/ELT).
• Develop and optimize analytical data models (bronze, silver, and gold layers).
• Ensure data quality, governance, and consistency.
• Monitor pipelines, proactively identify bottlenecks, and resolve failures.
• Work with large volumes of structured and semi-structured data.
  
  

2. Revenue Operations

• Integrate data from multiple sources, including:
• CRM systems (e.g., HubSpot)
• Marketing platforms
• Financial and billing systems (SAP)
• Product data sources
  
  
• Build datasets to support analysis of:
• Sales funnel and pipeline
• Revenue forecasting
• Recurring revenue (MRR, ARR)
• Churn, retention, and expansion
• Performance metrics for SDRs, AEs, and CSMs
  
  
• Support the development of strategic KPIs and metrics for leadership and C-level stakeholders.
• Partner closely with data analysts, RevOps, and business teams.
  
  

3. Technology & Tools

• Use Databricks for data processing, transformation, and orchestration.
• Work extensively with advanced SQL and Python.
• Leverage the Google ecosystem, including:
• BigQuery
• Google Cloud Storage
• Google Sheets (automation and integrations)
• Enable BI tools and dashboards (e.g., Looker, Power BI, Tableau).
  
  

4. Collaboration & Environment

• Collaborate closely with business teams, translating requirements into technical solutions.
• Participate actively in agile ceremonies (planning, daily stand-ups, reviews).
• Thrive in a dynamic, high-growth, and fast-changing environment.
• Continuously propose improvements in architecture, processes, and performance.

 Requirements

• Proven experience as a Mid-Level Data Engineer.
• Strong expertise in SQL (data modeling and performance optimization).
• Solid experience with Python for data engineering.
• Hands-on experience with Databricks.
• Experience with Google Cloud Platform (BigQuery, GCS).
• Previous experience in Revenue Operations, Sales, or Finance.
• Knowledge of SaaS metrics (MRR, ARR, LTV, CAC, churn).
• Strong understanding of:
• ETL / ELT processes
• Data Warehousing and Data Lakes
• Dimensional data modeling
• Experience with version control systems (Git).

Nice to Have

• Experience with BI tools.
• International work experience.
• Fluence in Spanish.
• Advanced English it's good.

In the Professional Services (PS) area, our Full Stack team is essential in delivering innovative communication solutions for the most strategic and high-potential accounts. As a team focused on creating conversational interfaces via the Blip Platform, we are looking for a developer with a passion for technology and customer service. This role stands out for its importance in PS, requiring not only technical knowledge but also excellent communication skills to transform our customers' needs into impact full solutions.

Key Responsibilities:

• Work on building and maintaining chatbots using the Blip Platform (lowcode);
• Communicate with customers to gain a technical understanding of business rules in a consultative manner, providing insights and impact analyses;
• Collaborate with conversational designers and the product team in making decisions about Chatbot solutions;

Key Requirements: 

• Experience and proficiency in programming logic;
• Experience and proficiency in best development practices in .NET C# and JavaScript (minimum 1-2 years);
• Experience and proficiency in development practices in REST APIs (minimum 1-2 years);
• Experience and ability in dealing with customers to understand business requirements (Client Facing);
• Experience with different design patterns, best development practices and SOLID principles;
• Experience and practice in code review;
• Experience and proficiency in version control tools (Gitflow);
• Strong analytical and problem-solving skills to deal with complex technical challenges;

It will be a plus if you have:

• Experience with the Blip Platform or other low-code solutions for building chat bots;
• Experience with React or Node.Js;
• Experience with Continuous Integration (CI) and Continuous Deploy (CD) using Azure DevOps;
• Experience with agile methodology (Scrum, Kanban);

Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning. 

Spectrum collects data from an organization’s code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that’s extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.

Spectrum is a resident of JetBrains' startup incubator, with startup speed and autonomy, and backed by 25 years of developer tooling expertise. We are looking for a top-class ML Engineer who will help us shape the future of software development. You will own our AI and ML engineering stack and help define the research agenda for our team. Your technical vision and design decisions will directly shape the product and determine its success.

Your responsibilities will include:

• Designing and building the ML/LLM solution for data ingestion, knowledge extraction, retrieval, and subsequent reasoning.
• Creating the datasets, metrics, and pipelines that drive measurable improvements across the system.
• Architecting and improving agents for context retrieval, knowledge extraction, and data alignment, which includes prompt engineering, model selection, and inference optimization.
• Establishing MLOps practices, including orchestration, observability, and experiment tracking.
• Collaborating with the engineering team on system design and with JetBrains Research on the research agenda.
• Defining hiring criteria, growing the ML team, and shaping the ML team culture.

We expect you to have:

• A proven track record as an ML/AI Lead.
• At least five years of experience in ML/AI systems, with at least two years focused on LLMs and generative AI.
• A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches.
• Hands-on experience with:
• Prompt engineering and LLM pipeline design, including evaluation.
• Agentic frameworks such as LangChain, LlamaIndex, LangSmith, smolagents, or an equivalent.
• Vector databases and retrieval-augmented generation (RAG) patterns.
• Deploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models.
• Strong Python skills – Kotlin knowledge would be a plus.
• Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
• Proficiency in English, both written and verbal. 

Our ideal candidate would have:

• Experience with ontologies, knowledge graphs, or graph-based reasoning.
• Experience in early-stage startups – you enjoy the zero-to-one phase.
• The ability to think strategically about product-led AI, beyond just training models in isolation.
• A background in code analysis, developer tools, or software engineering research.
• Experience with multi-agent systems or complex agentic workflows.
• Actively contributed to relevant open-source projects or publications.

What we offer

• A competitive salary and JetBrains benefits.
• A generous runway and corporate resources with startup autonomy.

#LI-KP1

Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning.

Spectrum collects data from an organization's code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that's extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.

A resident of JetBrains' startup incubator, Spectrum enjoys startup speed and autonomy, and is backed by 25 years of developer tooling expertise. We are looking for a Senior AI/ML Engineer to build and evolve the ML-powered systems at the heart of our product.

Your responsibilities will include:

• Designing and building the ML/LLM solution for data ingestion, knowledge extraction and retrieval, and subsequent reasoning.
• Creating datasets, metrics, and pipelines that drive measurable improvements across the system.
• Architecting and improving AI agents, which will involve prompt engineering, model selection, and inference optimization.
• Contributing to our MLOps practices, including orchestration, observability, and experiment tracking.

We expect you to have:

• At least four years of experience building ML/AI systems in production environments, with hands-on LLM experience.
• A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches.
• Hands-on experience with:
• Prompt engineering and LLM pipeline design, including evaluation.
• Agentic frameworks such as LangGraph, Pydantic AI, or an equivalent.
• Retrieval-augmented generation (RAG) patterns and vector databases.
• Deploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models.
• Strong Python skills – Kotlin knowledge would be a plus.
• Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
• Proficiency in English, both written and verbal.

Our ideal candidate would also have:

• Experience with ontologies, knowledge graphs, or graph-based reasoning.
• Experience in early-stage startups – you enjoy the zero-to-one phase.
• A background in code analysis, developer tools, or software engineering research.
• Experience with multi-agent systems or complex agentic workflows.
• Actively contributed to relevant open-source projects or publications.

What we offer:

• A competitive salary and JetBrains benefits.
• A generous runway and corporate resources with startup autonomy.
• A motivated team that moves fast, with short feedback loops, rapid prototyping, and lots of ownership.
• Opportunities to publish research at top venues in collaboration with JetBrains Research.

#LI-DNI

The Challenge

We're looking for a Principal Solutions Engineer (SE) that will report to the Solutions Engineering Manager. In this role, you will drive business development and sales growth on a national scale by providing technical expertise, competitive positioning, and product evaluation across multiple verticals to support prospective customers for the OneTrust Data Privacy Compliance platform. 

Your Mission 

Serve as technical expert on systems integrations during major sales opportunities, including the preparation and delivery of proposals, RFPs and custom proof-of-concepts evaluations to demonstrate OneTrust’s integration capabilities to meet client objectives 
Lead the technical deep dive discussions to architect integrations and advise customers on best practices 
Support Sales Teams with client meetings, presentations, and custom integration design options 
Coordinates with internal R&D, technical integrations, partner integrations teams to influence product capabilities as well as future direction 
Drive Sales and Marketing efforts in production of high-quality sales proposals and supporting assets 
Maintain all sales cycle activities within the Salesforce.com CRM system 

You Are 

You will have an advanced understanding of the privacy industry, including regulatory environment, and will use this knowledge to support all of the primary responsibilities. To thrive in this role, you will keep up with industry trends, competitive landscape and customer needs. 

Your experience includes:  

• BA/BS in Computer Science, Engineering or equivalent  
• 12-16 years of relevant experience in the technology industry, ideally in an Enterprise Cloud-based Software company 
• Expertise selling, configuring and delivering software demonstrations 
• Expertise with implementing software products or solutions to enterprise companies 
• Advanced experience with REST APIs, JavaScript, FreeMarker, HTML, CSS. Powershell scripting, ASP.NET, and C# experience a plus. 
• Experience working with Kubernetes (preferred), Docker, and OpenShift 
• Advanced knowledge of web applications, SaaS architecture, cloud computing and programming 
• Ability to build relationships across stakeholders in R&D, marketing, sales and engineering 
• Strong entrepreneurial skills to excel in a complex and rapidly evolving environment 
• Willingness to travel, as job requires (Estimated 25%) 

The Challenge

We are seeking a Senior Security Engineer to design, build, and maintain critical security infrastructure and controls across the OneTrust environment. Your work will directly support the delivery of secure enterprise services and customer‑facing solutions. This role is hands‑on, broad in scope, and spans multiple areas of information security.

Your Mission

As a Senior Security Engineer, you will:

• Design, build, scale, and maintain core security infrastructure and controls.

• Respond to security tickets requiring engineering-level configuration changes or enhancements.

• Assist with the investigation and remediation of security incidents.

• Serve as a Security SME for secure cloud infrastructure.

• Provide guidance and feedback on cloud and hybrid security solutions.

• Partner with internal teams to provide security requirements for key initiatives.

• Conduct POCs and collaborate with vendors to evaluate and recommend solutions.

• Implement new security technologies as part of project-based initiatives.

• Communicate project and issue status to management and business stakeholders.

• Create and maintain documentation for security projects and processes.

• Automate repetitive tasks and procedures.

• Update security documentation as threats and techniques evolve.

• Mentor security analysts and junior engineers.

You Are

• Experienced in handling security tickets, configuration changes, incident support, and cloud security engineering.

• Able to clearly communicate complex information, both verbally and in writing.

• Collaborative and comfortable working across teams and with vendors.

• Equally capable of working independently or as part of a team.

• Highly organized and able to manage multiple priorities.

• Detail-oriented while keeping broader strategic objectives in mind.

• Self‑directed, proactive, and comfortable working with minimal supervision.

• Deeply knowledgeable across core domains of information security and best practices.

Your Experience Includes

• BA/BS in Computer Science, Engineering, Mathematics, or a related field.

• 4+ years of security engineering or related security experience.

• 3+ years of cloud experience.

• Solid understanding of information security principles around confidentiality, integrity, and availability.

• Experience with logging platforms such as Splunk or similar tools.

• Experience with endpoint security platforms (e.g., CrowdStrike, SentinelOne, traditional AV).

• Scripting proficiency in one or more: Unix/Shell, Python, Golang, Rust, PowerShell.

• Experience with IaC tools such as Terraform or CloudFormation.

• Strong organizational, analytical, and problem‑solving skills.

• Ability to make sound decisions in a complex, fast‑changing environment.

Extra Impressive

• Experience with Azure, AWS, or GCP.

• Experience creating CI/CD pipelines for automated security control deployment (e.g., Jenkins, GitLab).

• Experience with Azure Active Directory.

• Experience writing Splunk SPL or Microsoft KQL queries.

• Background with IDS/IPS, CASB, and DLP technologies.

• Familiarity with SASE solutions (e.g., Zscaler, Netskope, Palo Alto Prisma Access, Cloudflare One).

• Experience with cloud firewalls such as Palo Alto CNGFW or Fortinet.

• Understanding of Zero Trust networking models.

• Cloud or security certifications (e.g., Azure, AWS, GCP, CISSP, GIAC, CCSP).

The Challenge 

We are seeking a highly motivated and technically adept Senior Solution Engineer (SE) to join our DemoX team within the SE Centre of Excellence. This role is ideal for an experienced SE who excels at designing and scaling demo experiences, driving cross-functional initiatives, and empowering global go-to-market teams to deliver high-impact product demonstrations. 

You will be at the helm of our demo strategy and tooling, taking ownership for the evolution of demo environments, assets, and processes. As the principal driver of DemoX, you will steer development, innovation, and continuous improvement, serving as the main resource for demo-related needs and escalations. This position is about leading the strategy, execution, and quality of our demo solutions, collaborating deeply with stakeholders across Product, Product Marketing, QA, and Sales Engineering to deliver best-in-class demo experiences. 

This is a high-visibility role with strong growth potential, including the opportunity to evolve into a formal leadership position. 

Your Mission 

• Lead the design, development, and governance of scalable demo environments, tools, and assets that support the global GTM organisation 
• Act as the DemoX function’s operational lead owning demo tooling (e.g. Saleo, Consensus), demo data pipelines, and environment stability 
• Serve as the primary escalation point for demo-related issues, ensuring timely resolution and proactive risk mitigation 
• Develop and maintain compelling demo narratives, templates, and reusable assets that align with product capabilities and GTM messaging 
• Partner with Product, Product Marketing, QA, and SE leadership to ensure demo readiness for new releases and feature launches 
• Provide mentorship and functional guidance to other DemoX team members, fostering a culture of excellence, collaboration, and continuous improvement 
• Drive adoption of demo best practices across the SE organisation through enablement, documentation, and tooling support 
• Shape the DemoX roadmap by identifying opportunities for innovation, automation, and operational efficiency 

You Are 

• Effective at communicating and presenting, able to simplify complex technical ideas for customers 
• Collaborative and trusted across Product, Marketing, QA, and Sales Engineering teams 
• Attuned to stakeholder and customer needs, committed to delivering scalable, high-quality demos 
• Proactive and hands-on, capable of leading projects from concept to completion 
• Strategic, understanding how demo tools and processes accelerate sales and impact customers 
• Comfortable guiding and aligning team members, even without formal authority 
• Resourceful in handling ambiguity and solving challenges creatively and decisively 
• Technically proficient and eager to learn, with expertise in demo tools, integrations, and environment management 
• Fluent in English, with other languages beneficial, and willing to travel for global collaboration 

Your Experience Includes 

• 3-5 years of relevant experience in a Solution Engineering, Management Consulting, or a similar role 
• A Bachelor’s degree in a relevant engineering or business field; advanced degree preferred 
• Proven experience delivering and supporting high-quality software demonstrations across the customer journey 
• Strong technical proficiency with demo tooling (e.g. Saleo, Consensus, Chrome extensions) and experience managing demo environments, integrations, and feature toggles 
• Demonstrated ability to lead cross-functional projects and influence without formal authority 
• Excellent communication and interpersonal skills, with experience engaging senior stakeholders and cross-functional teams 
• Strong analytical and problem-solving skills, with a track record of driving demo programmes that deliver measurable business impact 
• Experience in fast-paced, high-growth SaaS environments is highly desirable  

Join us at OneTrust and be part of a team committed to driving innovation, delivering excellence, and shaping the future of our industry. Apply now to embark on an exciting journey with us! 

 Please hand in our CV/Resume in English language. 

Senior Full Stack Engineer

Madrid / Malaga  Office - Hybrid: 4 days in the office, 1 day working from home

The Lending team at Ebury is seeking a Senior Full Stack Engineer to play a crucial part in our team. In this full-stack role, you will be instrumental in the development and enhancement of our lending domain. Our team, spread across Europe, values your expertise to elevate our platform and deliver an exceptional experience for clients. As a senior member of our team, your technical knowledge and experience will drive innovation and growth in our channels domain. We prioritize collaboration and commitment within our distributed setup, emphasizing effective teamwork as a cornerstone of our success.

Responsibilities:

• Contribute to the development of the next iteration of our Client platform’s services, collaborating both in the development and delivery of new products but also in the improvement and automation of existing ones
• Collaborate with your team members and engineering leaders to design new services and components using our Request For Comments (RFC) process
• In line with our 'You build it, you own it' philosophy, we expect you to take full ownership of the products you build, embracing both their development and ongoing maintenance
• You have extensive experience in developing complex web applications. We mainly work with Python/Django & Node.js in the backend with React/VueJS in the frontend, but it is also OK if you are more comfortable with other languages
• Since you will work side by side with colleagues from different countries, you will be able to communicate ideas clearly and concisely in English, both written and spoken
• You are adept at both constructing and managing services. As such, you should have proficiency in establishing standard APIs, incorporating monitoring systems and alerting services, along with a strong expertise in integrating external systems.
• We look for developers that can build and run services. Therefore, you will be comfortable with containerising your code, and adding monitoring and alerting to your services
• Quality is important to us, we expect your code to be testable with good test coverage. We use Jenkins pipelines and Terraform for the CI and deployment of services and infrastructure
• Keep up-to-date with emerging technologies, tools, and practices

About you:

• Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
• Bachelor's or Master's degree in Computer Science or related field (or equivalent experience)
• 2+ years of experience in applying AI to practical and comprehensive technology solutions
• Experience with TypeScript, Vue3, TailwindCSS, PostCSS, Webpack, Jest, Cypress, Storybook
• Experience with Python3, Django, PostgreSQL, Redis, RestAPIs
• Strong knowledge of Linux systems, cloud infrastructure, networking, and databases
• Quality is important to us; we expect your code to be testable and well covered with unit and integration tests. We use CI Jenkins pipelines and terraform for the deployment of services and infrastructure. From time to time, you might need to contribute to it
• SQL knowledge is a plus
• Strong communication and collaboration skills
• Since you will work side by side with colleagues from different countries, you will be able to communicate clearly and concisely your ideas in English both written and spoken

What we offer:

• Competitive salary and benefits package
• Discretionary bonus based on performance
• Continued personal development through training and certification
• We are Open Source-friendly, following Open Source principles in our internal projects and encouraging contributions to external projects

#LI-JC1

Senior Backend Engineer - JavaScript/TypeScript

Ebury (Madrid/Málaga) Office - Hybrid: 4 days in the office, 1 day working from home per week

Ebury is a hyper-growth FinTech on a mission to revolutionize international trade. We are building the "Internal Engine" of our global delivery organization, and our Client Operations Automation squad is at the heart of this transformation.

We are moving beyond traditional automation into the era of Agentic Orchestration. You won't just be writing scripts; you will be architecting the high-performance distributed systems and AI workers that power real-time compliance, client lifecycle management (CLM), and intelligent RFI workflows.

Technical Leadership & Team Context 

In this role, you will be the foundational technical leader for the squad. You will work alongside three mid-level colleagues and one Associate Engineer, serving as the primary architect and mentor. This is a high-visibility position where you define the engineering standards for the team and drive the technical roadmap for Ebury's operational efficiency.

Your Impact

• Architect Intelligent Systems: Lead the design and implementation of complex state machines and workflow orchestration using Temporal and Node.js/TypeScript
• Production-Grade AI: Deploy and optimize Gemini in production to handle non-deterministic operational tasks, transforming manual reviews into automated, agentic processes
• Drive Strategic KPIs: Own the technical outcomes that reduce our Manual Intervention Rate and improve Average Handling Time (AHT) for global client operations
• Engineering Excellence: Establish best practices for observability, "exactly-once" execution, and distributed system resilience
• Mentorship: Directly influence the growth of the team through RFC reviews, technical workshops, and hands-on pairing with mid-level and associate engineers

Senior Data Engineer - AI Platform Engineer 

Hybrid: 4 days in the office, 1 day working from home

Join Our Data Team at Ebury Madrid or Malaga Office.

Ebury's strategic growth plan would not be possible without our Data team and we are seeking an Data Engineer - AI Platform to join our Data Platform Engineering team!

Our mission is to develop, maintain and improve Ebury's Data Platform — and we are now extending that mission to build the Agentic Data Plane (ADP): a unified, governed interfacing layer for AI and agentic products that abstracts communication and access to data whilst enforcing governance, lineage, traceability, and full replayability.

As an AI Platform Engineer, you will work closely with the rest of the Data Platform team and cross-functional domain teams to design and deliver the platform capabilities that let Ebury ship AI and agentic products safely and at scale.

What we offer

• Competitive salary and benefits package
• Discretionary bonus based on performance
• Continued personal development through training and certification
• We are Open Source friendly, following Open Source principles in our internal projects and encouraging contributions to external projects

Responsibilities

• Design and deliver core components of Ebury's Agentic Data Plane, including agent-to-agent (A2A) communication, the Agent Tool Registry, and governed data access layers
• Build platform primitives for secure tool use coordination, including "on behalf of" (OBO) patterns, centralized policy guardrails, and audit logging with full replayability
• Provide end-to-end observability for agentic products: data dependencies, traces, evaluation signals, and accountability as a day-one requirement
• Integrate the ADP with the Data Platform's governed foundations — catalog, metadata, data warehouse, and vector retrieval 
• Collaborate with domain teams to onboard pilot agents and help them adopt platform standards and runtime patterns
• Drive innovation and explore emerging technologies (LLM evaluation, prompt safety, agent memory) to enhance our AI platform capabilities

About you

• Self-motivation and curiosity, with a desire to learn and grow in a fast-paced environment, continuously improving both technical and business skills
• Platform engineering experience building internal platforms consumed by other engineering teams
• Strong software engineering fundamentals: API design, reliability, testing, and operability
• Experience building secure systems — authentication/authorization, audit logs, least-privilege access, and governance controls
• Hands-on experience operating production services on GCP, including services such as Vertex AI, BigQuery, Cloud Run, and Cloud Functions
• Proficiency in Python for building platform services, data transformation, and tooling
• Experience with agentic or LLM-based systems in production (evaluation, drift monitoring, prompt safety) is a strong plus
• Familiarity with data governance concepts — lineage, traceability, access controls — and data platform ecosystems is encouraged
• Fluency in English (Spanish, a plus)

If you're excited about this job opportunity but your background doesn't match exactly the requirements in the job description, we strongly encourage you to apply anyway. You may be just the right candidate for this or other positions we have. 

#LI-JC1

#LI-HYBRID

Senior Data Engineer - AI Platform Engineer 

Hybrid: 4 days in the office, 1 day working from home

Join Our Data Team at Ebury Madrid or Malaga Office.

Ebury's strategic growth plan would not be possible without our Data team and we are seeking an Data Engineer - AI Platform to join our Data Platform Engineering team!

Our mission is to develop, maintain and improve Ebury's Data Platform — and we are now extending that mission to build the Agentic Data Plane (ADP): a unified, governed interfacing layer for AI and agentic products that abstracts communication and access to data whilst enforcing governance, lineage, traceability, and full replayability.

As an AI Platform Engineer, you will work closely with the rest of the Data Platform team and cross-functional domain teams to design and deliver the platform capabilities that let Ebury ship AI and agentic products safely and at scale.

What we offer

• Competitive salary and benefits package
• Discretionary bonus based on performance
• Continued personal development through training and certification
• We are Open Source friendly, following Open Source principles in our internal projects and encouraging contributions to external projects

Responsibilities

• Design and deliver core components of Ebury's Agentic Data Plane, including agent-to-agent (A2A) communication, the Agent Tool Registry, and governed data access layers
• Build platform primitives for secure tool use coordination, including "on behalf of" (OBO) patterns, centralized policy guardrails, and audit logging with full replayability
• Provide end-to-end observability for agentic products: data dependencies, traces, evaluation signals, and accountability as a day-one requirement
• Integrate the ADP with the Data Platform's governed foundations — catalog, metadata, data warehouse, and vector retrieval 
• Collaborate with domain teams to onboard pilot agents and help them adopt platform standards and runtime patterns
• Drive innovation and explore emerging technologies (LLM evaluation, prompt safety, agent memory) to enhance our AI platform capabilities

About you

• Self-motivation and curiosity, with a desire to learn and grow in a fast-paced environment, continuously improving both technical and business skills
• Platform engineering experience building internal platforms consumed by other engineering teams
• Strong software engineering fundamentals: API design, reliability, testing, and operability
• Experience building secure systems — authentication/authorization, audit logs, least-privilege access, and governance controls
• Hands-on experience operating production services on GCP, including services such as Vertex AI, BigQuery, Cloud Run, and Cloud Functions
• Proficiency in Python for building platform services, data transformation, and tooling
• Experience with agentic or LLM-based systems in production (evaluation, drift monitoring, prompt safety) is a strong plus
• Familiarity with data governance concepts — lineage, traceability, access controls — and data platform ecosystems is encouraged
• Fluency in English (Spanish, a plus)

If you're excited about this job opportunity but your background doesn't match exactly the requirements in the job description, we strongly encourage you to apply anyway. You may be just the right candidate for this or other positions we have. 

#LI-JC1

#LI-HYBRID

Senior Data Engineer - AI Platform Engineer 

Hybrid: 4 days in the office, 1 day working from home

Join Our Data Team at Ebury Madrid or Malaga Office.

Ebury's strategic growth plan would not be possible without our Data team and we are seeking an Data Engineer - AI Platform to join our Data Platform Engineering team!

Our mission is to develop, maintain and improve Ebury's Data Platform — and we are now extending that mission to build the Agentic Data Plane (ADP): a unified, governed interfacing layer for AI and agentic products that abstracts communication and access to data whilst enforcing governance, lineage, traceability, and full replayability.

As an AI Platform Engineer, you will work closely with the rest of the Data Platform team and cross-functional domain teams to design and deliver the platform capabilities that let Ebury ship AI and agentic products safely and at scale.

What we offer

• Competitive salary and benefits package
• Discretionary bonus based on performance
• Continued personal development through training and certification
• We are Open Source friendly, following Open Source principles in our internal projects and encouraging contributions to external projects

Responsibilities

• Design and deliver core components of Ebury's Agentic Data Plane, including agent-to-agent (A2A) communication, the Agent Tool Registry, and governed data access layers
• Build platform primitives for secure tool use coordination, including "on behalf of" (OBO) patterns, centralized policy guardrails, and audit logging with full replayability
• Provide end-to-end observability for agentic products: data dependencies, traces, evaluation signals, and accountability as a day-one requirement
• Integrate the ADP with the Data Platform's governed foundations — catalog, metadata, data warehouse, and vector retrieval 
• Collaborate with domain teams to onboard pilot agents and help them adopt platform standards and runtime patterns
• Drive innovation and explore emerging technologies (LLM evaluation, prompt safety, agent memory) to enhance our AI platform capabilities

About you

• Self-motivation and curiosity, with a desire to learn and grow in a fast-paced environment, continuously improving both technical and business skills
• Platform engineering experience building internal platforms consumed by other engineering teams
• Strong software engineering fundamentals: API design, reliability, testing, and operability
• Experience building secure systems — authentication/authorization, audit logs, least-privilege access, and governance controls
• Hands-on experience operating production services on GCP, including services such as Vertex AI, BigQuery, Cloud Run, and Cloud Functions
• Proficiency in Python for building platform services, data transformation, and tooling
• Experience with agentic or LLM-based systems in production (evaluation, drift monitoring, prompt safety) is a strong plus
• Familiarity with data governance concepts — lineage, traceability, access controls — and data platform ecosystems is encouraged
• Fluency in English (Spanish, a plus)

If you're excited about this job opportunity but your background doesn't match exactly the requirements in the job description, we strongly encourage you to apply anyway. You may be just the right candidate for this or other positions we have. 

#LI-JC1

#LI-HYBRID

Senior Data Engineer - AI Platform Engineer 

Hybrid: 4 days in the office, 1 day working from home

Join Our Data Team at Ebury Madrid or Malaga Office.

Ebury's strategic growth plan would not be possible without our Data team and we are seeking an Data Engineer - AI Platform to join our Data Platform Engineering team!

Our mission is to develop, maintain and improve Ebury's Data Platform — and we are now extending that mission to build the Agentic Data Plane (ADP): a unified, governed interfacing layer for AI and agentic products that abstracts communication and access to data whilst enforcing governance, lineage, traceability, and full replayability.

As an AI Platform Engineer, you will work closely with the rest of the Data Platform team and cross-functional domain teams to design and deliver the platform capabilities that let Ebury ship AI and agentic products safely and at scale.

What we offer

• Competitive salary and benefits package
• Discretionary bonus based on performance
• Continued personal development through training and certification
• We are Open Source friendly, following Open Source principles in our internal projects and encouraging contributions to external projects

Responsibilities

• Design and deliver core components of Ebury's Agentic Data Plane, including agent-to-agent (A2A) communication, the Agent Tool Registry, and governed data access layers
• Build platform primitives for secure tool use coordination, including "on behalf of" (OBO) patterns, centralized policy guardrails, and audit logging with full replayability
• Provide end-to-end observability for agentic products: data dependencies, traces, evaluation signals, and accountability as a day-one requirement
• Integrate the ADP with the Data Platform's governed foundations — catalog, metadata, data warehouse, and vector retrieval 
• Collaborate with domain teams to onboard pilot agents and help them adopt platform standards and runtime patterns
• Drive innovation and explore emerging technologies (LLM evaluation, prompt safety, agent memory) to enhance our AI platform capabilities

About you

• Self-motivation and curiosity, with a desire to learn and grow in a fast-paced environment, continuously improving both technical and business skills
• Platform engineering experience building internal platforms consumed by other engineering teams
• Strong software engineering fundamentals: API design, reliability, testing, and operability
• Experience building secure systems — authentication/authorization, audit logs, least-privilege access, and governance controls
• Hands-on experience operating production services on GCP, including services such as Vertex AI, BigQuery, Cloud Run, and Cloud Functions
• Proficiency in Python for building platform services, data transformation, and tooling
• Experience with agentic or LLM-based systems in production (evaluation, drift monitoring, prompt safety) is a strong plus
• Familiarity with data governance concepts — lineage, traceability, access controls — and data platform ecosystems is encouraged
• Fluency in English (Spanish, a plus)

If you're excited about this job opportunity but your background doesn't match exactly the requirements in the job description, we strongly encourage you to apply anyway. You may be just the right candidate for this or other positions we have. 

#LI-JC1

#LI-HYBRID

What we do  

Our Software Engineers are end-to-end owners who have the opportunity to participate in many aspects of designing, building, and delivering data-focused products for our stakeholders.  

At The Trade Desk, we believe in building the back-end infrastructure of our platform with a focus on quality at scale. This means whether we are building parts of our client-facing applications, internal custom solutions for our own team members, or model pipelines for bidding optimisations, we are making sure that we have infrastructure, development, and tools to do it right and efficiently.  

Our system performs all day, every day serving global traffic. We build a distributed system in a highly collaborative environment, utilising a broad range of technologies. Our back-end developers work on finding solutions to algorithmic, optimization and scale challenges in everything we do.  

What you’ll do: 

Some of the work that you will be doing to help us deliver on our mission is: 

• Design, build, deliver and own full lifecycle development software from inception to production  
• Demonstrate a firm grasp of the entire software development lifecycle  
• Drive complex changes involving multiple components  
• Deliver quality changes, including automated tests, metrics and monitoring   
• Collaborate with team members to deliver features  
• Guide and review changes to product features in line with product roadmaps   
• Implement and maintain product features  
• Validate changes to ensure high quality product releases  
• Work in a distributed system environment  
• Understand the business objectives behind the code  
• Understand system architecture fundamentals through self-directed learning  
• Lead others through example, mentorship, teaching, and/or participate in hiring activities 

We are a global team with different backgrounds, experiences and perspectives. To complement this team, you will welcome ideas that are different from your own and be well-versed in building from common ground to value, seek out, and foster invisible and visible dimensions of diversity. 

Who you are: 

Our culture is much deeper than just having fun together (though, we do that well too...). We take pride in our engineers being trust-builders, generous givers, scrappy problem solvers, and gritty pursuers of excellence. You do not have to meet all the requirements below, but we believe that people who meet most of them will have a higher likelihood of succeeding in this role: 

• You are you comfortable working on an agile, distributed team spanning multiple time zones and continents.  
• You are able to communicate effectively across both technical and non-technical audiences.  
• You have a solid understanding of computer science and engineering fundamentals.  
• You have experiences working with distributed systems.  
• You are proficient in one or more of the following programming languages: C#, Java, C, C++, Python, SQL, or Scala.  
• You have some knowledge of software development code editors: Visual Studio, Visual Studio Code, Rider) and version control systems (Git, Perforce). 
• You have 2+ years of software development, engineering experience  
• You have a Bachelor’s/Master’s level degree in a computer-science or relevant engineering related field or equivalent experience. Not everyone has the same level of access to opportunities. What is most important to us is what and how you can contribute, which is why our consideration is not limited by the level of education you have. 
• You have additional nice-to-have experience that is not required in the following areas: database engines (Microsoft SQL Server, Postgres, AeroSpike, Vertica, Redis), building micro-services, operating systems and cloud, Kubernetes, Kafka.  

Variety of technical opportunity is one of the best things about working at The Trade Desk as a software engineer which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We don't need engineers who know all the answers; we need engineers who can invent the answers no one has thought of yet, to the questions yet to be asked.  

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Are you a Senior Data Engineer with a passion to build, support & maintain digital marketing solutions that offers real value? Are you interested in working with the largest global brands and complex challenges in the media analytics space? Then you might be the Senior Data Engineer we’re looking for!

What will your day look like?

As our new Senior Data Engineer, you will become part of our growing Data Insights and Science team. Here, you will employ new technologies across multiple cloud platforms to help successful brands reach their next level in 1:1 retargeting, communication, and CRM. More specifically, your tasks include:

• Identify, collect, and integrate data from various sources by building high-quality data pipelines and data models for analytics and business intelligence (BI) purposes.
• Develop and optimize code to enable pipelines at minimum cost and ease of maintenance.
• Build monitoring procedures & tools to ensure solid ETL flows and data quality.
• Design processes and tools to correct ETL incidents.
• Collaborate with CRM developers, data scientists, data analysts, and product owners to ensure the supplied data supports the business initiatives.
• Consult our data analytics teams to ensure best practices on the technical use of data are followed.
• Design data architectures and collaborate in data migrations in cloud environments. 

Who are you going to work with?

You will join a team of highly skilled Architects, Data Scientists, and Consultants who are passionate about unlocking insights from data through analytics. You will also get to work closely with experts from other Technology, Creative, and Client Teams.

What do you bring to the table?

As a person, you have a team player mindset and an open-minded attitude. You can communicate ideas and technical topics honestly and clearly – also to non-experts – while respecting the views of others on the team. You are eager to understand and find solutions, allowing you to quickly adapt to changing situations and come up with new ideas.

At the same time, you solve problems in an analytical and pragmatic manner.

Moreover, you have:

• Experience in data engineering, big data, business intelligence, or data science. 
• Experience in Spark, Python, Scala, or similar.
• Excellent SQL skills enabling large-scale data transformation and analysis.
• A comprehensive understanding of cloud data warehousing, data pipelines and data transformation (extract, transform, and load) processes and supporting technologies such as Google Dataflow, Looker, DBT, EMR, CI/CD Pipelines, Airflow DAGs, and other analytics tools.
• Experience with cloud-based data infrastructures (Ideally GCP, but AWS or Azure would also suffice)
• Programming experience in Javascript, Python, or similar.
• Expertise in managing databases, including performance tuning, backup, and recovery.
• Solid knowledge of data quality management best practices, including data profiling, data cleansing, and data validation
• Knowledge of strengths and limitations of visualization tools (e.g. PowerBI, Tableau, Looker, etc.) in terms of data modeling in the visualization tools.
• Understanding of versioning control tools like GitHub to changes related to dbt models and transformations, ensuring that changes are tracked, documented, and reviewed by the appropriate stakeholders.
• Knowledge of applying data governance principles, policies, and practices that ensure data accuracy, consistency, and security
• Knowledge of Kubernetes would be an advantage

Personal skills:

• Strong desire to contribute towards keeping data tidy and well-organized
• Ability to think critically, identify issues autonomously, and propose corrective actions.
• Build great relationships with your team and stakeholders

A leader in personalized customer experiences

VML MAP is a world-leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper personalization at scale, marketing automation and CRM. With the brain of a consultancy, the heart of an agency and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer-centric. Together, we are 1000 + technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities.

A global network

We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences. 

#LI-EMEA

• Conducts research to prepare for upcoming meetings with prospects to understand their business environment, market, customers, competitors and general business challenges.
• Carries out discovery conversations with customers to understand their needs and requirements for a new solution. Uncovers customer pains, learns about customer's objectives and potential needs, gathers metrics necessary for pricing and/or value discussions. Listens to the customer to gather information that can be leveraged in upcoming presentations.
• Uses their in-depth knowledge of Talkdesk solutions and capabilities to specify the appropriate solution(s) for customer needs and requirements. The SE is continually learning about Talkdesk solutions to keep up with innovations and new releases of TD software.
• Designs and delivers presentations to customers, on-site & virtual, showing Talkdesk’s capabilities, aligned to the customer's pains and needs that were uncovered during Discovery.
• Generates simple value statements illustrating the financial value of a Talkdesk solution to customers.
• Assists with scoping SOWs for customer implementations as needed.
• Scopes, executes and manages customer pilots and POCs. 
• Respond to functional and technical RFI/RFP requirements and mapping said requirements to the software solution.
• Work closely with product management and engineering teams to ensure that customer feedback is incorporated into product roadmaps.
• Assists with marketing and demand generation events as necessary.

Core Background

• B.S. Computer Science, Software Engineering, MIS or equivalent work experience.
• 5+ years as a Solutions Engineer in Software, VOIP/Telecommunications, contact centers, premise or cloud selling to Commercial or Enterprise customers.
• Bilingual in French
• Ability to command the attention in a room by delivering compelling presentations and demonstrations.
• Good problem solving skills, including the ability to meet a business requirement with a technical solution.
• Ability to communicate complex technical concepts to both technical and non-technical audiences.
• Excellent presentation and communication skills, including the ability to lead technical discussions and demonstrations with customers.
• Knowledge of Customer Relationship Management Software, ITSM, Data Warehousing, Business Intelligence is a plus.
• Knowledge of UCaaS, CCaaS software is a plus.
• Knowledge in web / scripting technologies is a plus

Method of Application: Apply online.

Application Window: The application window is expected to close at least 5 days from the posting date. The application was posted on 03/18/2026.

All questions or concerns about this posting should be directed to the Talent team at Talent@talkdesk.com.