• 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

At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

One of the projects we’re working on within the JetBrains Innovation Hub is the AppGlass, a product for safe, AI-first debugging of production systems. It will help engineering teams investigate issues in real environments with a strong focus on safety, reliability, security, low overhead, and practical AI integration. That means it’s a mix of JVM tooling, program analysis, and AI at the core. Check out our demo and website to get a better sense of how it works.

About the role

We are looking for a Senior Software Engineer with strong enterprise JVM experience. This role is a good fit for someone proactive and excited by complex engineering challenges at the intersection of production systems, developer tools, and AI agents.

In this role, you will:

• Design, build, and lead the development of product features.
• Develop tooling and automation for AI-first engineering workflows.
• Work on enterprise integrations and deployment scenarios across Kubernetes and cloud environments.
• Improve reliability, testing, performance, and security for production use.

We’d like to have you on the team if you:

• Have extensive experience with Java, Kotlin, and JVM systems.
• Have worked on enterprise backend software, infrastructure, or developer tooling.
• Are comfortable with Kubernetes and cloud environments.
• Take ownership, communicate clearly, and move things forward without waiting for perfect specs.
• Enjoy using AI in development, while validating results with solid engineering discipline.

We’ll be especially thrilled if you:

• Have experience with debugging, instrumentation, or observability-related tools.
• Have experience with .NET or Python backend products.
• Care deeply about developer productivity and engineering quality.

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-REMOTE 
#LI-KT1

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

Groupon is mid-transformation. Seven parallel streams. Real targets: contact deflection, resolution rates, repurchase. The streams are moving - but each one needs a single accountable person who can both diagnose the problem and ship the fix. That's this role. You won't be coordinating. You won't be waiting for an analyst or speccing things out for an engineer. You'll pull the data yourself, write the prompt yourself, build the dashboard yourself, and hold people accountable without having authority over them. If it's blocking you, you do it.

Who you'll work with

You'll report to Maguelonne, Director of Operational Transformation. Your closest partners will be teams across Customer Service, Merchant Operations, Product, Engineering, Supply, and Content  with key stakeholders based in Madrid and Prague.

What you'll be doing

• Owning transformation streams end-to-end - defining the problem from raw data, building the delivery plan, assigning owners, setting milestones, and tracking progress in dashboards you build yourself
• Building AI workflows from scratch - writing prompts, running evals, validating output against real cases, improving and scaling
• Pulling and interrogating your own data - building your own reports and business cases without waiting for support
• Holding cross-functional teams accountable - naming blockers early, escalating fast, and not letting "we don't own that" become an excuse for slow delivery
• Finding creative fixes - many people here will say "we tried that before." Your job is to zoom out, find the quick win, and simplify what others have overcomplicated
• Surfacing risks before they become problems - keeping stakeholders aligned without over-meeting

What success looks like

At 30 days: You've personally pulled and analysed the data on your stream. You've shipped at least one small automation or prompt-driven workflow. You know the landscape — the streams, the blockers, the key players.

At 60 days: You own at least one stream with a clear delivery plan. You've prototyped one AI workflow running on real data. Stakeholders come to you when things are stuck.

At 6 months: Contact deflection rate is improving on your stream. At least one AI workflow is in production and being used daily. Your manager doesn't have to chase status — you surface risks before they become issues.

What this role demands

You can demonstrably:

• Ship a production-grade LLM workflow end-to-end - prompt design, tool use, evaluation, edge case handling. A Zapier flow doesn't count.
• Identify an operational problem, form a view on how to fix it, and execute without being pushed
• Hold cross-functional stakeholders to commitments without authority over them — and find structural levers when persuasion alone doesn't work
• Navigate ambiguity and create structure where none exists, while knowing when a decision needs escalation and when it just needs to be made
• Re-plan without drama when priorities shift and not lose the thread of what matters

What we are looking for

• 2-4 years in operations, program management, or strategy & ops roles where you personally shipped - not just managed others who shipped
• At least one production LLM workflow built and running end-to-end
• Comfortable pulling, interrogating, and presenting data without support
• Assertive communicator who names blockers and drives resolution
• Fluent English, based in Madrid or Prague

Nice to have

• Experience at a fast-paced tech or marketplace company
• Familiarity with Customer Service or Merchant Operations contexts
• Active follower of the AI/LLM space - you've tried the tools yourself and have an opinion on which to use when

The hiring process

• TA screen with your recruiter (30 min)
• Hiring manager interview (45 min)
• Case study (3-5 days to complete)
• Case study presentation (45 min) - you walk us through your approach, findings, and recommendations, followed by Q&A

The transformation agenda is real, the exec visibility is high, and the scope is broader than most roles you'll find at larger companies. If you want to move fast, ship AI into production, and be the person who actually unblocks things - apply.

The mission of OrgStore is to provide an easy-to-use, fully-managed platform to store and search data. With Postgres as our cornerstone technology, we focus on transactional (OLTP) data use-cases while providing a custom data plane and a flexible administrative layer. Our users are the thousands of engineers representing hundreds of teams producing products at Datadog. As a platform infrastructure team, our goal is to accelerate product teams by helping them rapidly stand up new features and make step change improvements to their application's performance. Data storage is ubiquitous and the service we are providing is critical for Datadog as the business scales and expands its product offerings.

As the Engineering Manager for the OrgStore Blueprint Team, you will lead a high-performing team of software engineers, guiding them in building and maintaining these mission-critical systems. Collaboration is key in this role, needing to work closely with other engineering, product, and support teams across Datadog. Your strategic vision will not only guide your team's day-to-day operations but also influence the long-term roadmap of support within Datadog.

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:

• Guide and mentor a diverse team of 4-8 software engineers, fostering their career growth while ensuring high team performance.
• Drive the technical roadmap in collaboration with your team, product managers, and support teams ensuring it aligns with company objectives and directly contributes to improving customer satisfaction.
• Engage strategically with complex technical problems and work with your team to produce well-defined and actionable plans.
• Be a core contributor and reviewer of code, lead design decisions, and participate in our  well-scoped on-call rotation.
• Understand the broader business context to align technical decisions with business goals, supporting long-term objectives and driving innovation.
• Contribute to engineering-wide initiatives as a member of Datadog’s engineering management team.
  
  

Who You Are:

• A seasoned software engineer with experience building developer tools, running databases, and maintaining infrastructure with a focus on reliability and fault tolerance
• A proven leader with the ability to manage team dynamics, set goals, provide feedback, and foster a positive and productive work environment
• A capable project manager who can plan, organize, and oversee multiple software engineering projects
• An excellent communicator who is comfortable interacting with team members, stakeholders, and upper management alike
• Demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
• Bonus points: 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

Responsibilities

As a Senior Infrastructure Engineer, you’ll be part of the team responsible for the architecture, scalability, and reliability of Workato’s distributed cloud platform. You’ll design and optimize the systems that allow our services to run securely and efficiently at scale. This is a highly technical role that requires deep experience with cloud infrastructure, Linux internals, and large-scale distributed systems. 

In this role, you will also be responsible to:

• Design, build, and maintain a global, distributed, and resilient cloud infrastructure.

• Collaborate with engineering teams to plan and deliver complex platform initiatives.

• Patch and optimize open-source components for performance and security.

• Manage and provision AWS infrastructure using Terraform and Kubernetes.

• Write and maintain Kubernetes manifests and deployment configurations for critical workloads.

• Tune Linux systems and open-source software for high performance and hardened security.

• Build internal tools to streamline engineering workflows and operational automation.

• Participate in architecture reviews, incident response, and performance analysis to ensure system reliability.

Requirements

Qualifications / Experience / Technical Skills / Soft Skills

• 7+ years of experience in infrastructure or systems engineering roles.

• Proven expertise in distributed systems and cloud-native architectures.

• Strong understanding of Linux internals, including networking and system-level performance tuning.

• Experience operating infrastructure on AWS at scale.

• Proficiency with Terraform and Kubernetes.

• Solid understanding of network security and cloud security best practices.

• Excellent analytical, troubleshooting, and communication skills.

Nice to Have

• Experience with Golang for tooling or internal services.

• Familiarity with Kafka, Redis, ClickHouse, PostgreSQL, or similar technologies.

• Experience with observability tools such as Grafana, Prometheus, or VictoriaMetrics.

• Experience optimizing CI/CD workflows and automating deployments.

• Understanding of Vault or other secrets management systems.

• Contributions to or maintenance of open-source infrastructure projects.

Tech Stack

• AWS • Terraform • Kubernetes •  ArgoCD • Kafka • PostgreSQL • Redis • ClickHouse • Grafana • VictoriaMetrics • Vault

(REQ ID: 2736)

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

Do you want to change the world? At Cabify, that’s what we’re doing. We aim to make cities better places to live by improving mobility for the people living in them, connecting riders to drivers, providing mobility alternatives such as scooters and mopeds and many others to come, all at the touch of a button. Maybe one day cities will be places where nobody needs a private car. But we’ve still got a long way to go… Fancy joining us?

Our Product & Engineering teams are both based in Madrid, with a strong remote culture, and include an eclectic bunch of awesome people from different backgrounds like Ruby, Go, Elixir, Javascript, and Python.

Right now we’re working on some pretty greenfield projects with a solid set of product ideas lined up ready for innovative engineers to tackle. And of course we have big plans to take over the taxi app service industry!

Site Reliability Engineers at Cabify work on improving all aspects of our platform and have an impact across the whole organisation. They are a blend of systems engineers and software developers who solve scalability issues with software and implement the best production engineering and security practices.

Check our Public Tech Handbook >HERE< to know a bit more about us!

As a Site Reliability Engineer, you will be:

• Evolving our infrastructure platform building self-service components that will be used by all the engineering team and by millions of users around the world.
• Working closely with our Product and Infrastructure teams to architecture and develop world-class infrastructure components.
• Designing and implementing tooling to improve the availability, scalability, observability and latency of our services, which are used by internal customers to deploy and operate their services.
• Increasing reliability awareness with other teams, helping with the adoption of reliability principles and reviewing observability implementations or software architectures.
• Defining SLIs, SLOs and SLAs as part of the services' lifecycle.
• Sharing an on-call schedule for the platform services you own.
• Solving problems in our highly available platform together with other teams, then build automations to prevent incidents from happening again.
• Participating in our recruiting process to help grow our engineering team.

You may be a fit for this role if you:

• Think Unix, you know the networking stack, the OSI model, containers (and schedulers), and you know your way around monitoring, logging and the CAP theorem (bonus!).
• Have strong programming skills in at least one language, and know your way around a few more or can learn them if the opportunity arises.
• Automate yourself out of everything by nature, making machines do the toil.
• Communicate effectively and asynchronously. 
• Care about the things that affect the company, your team, and yourself.
• Embrace diversity and humbleness (and a bit of trolling).
• Prefer taking iterative action over waiting for things to happen or to be perfect.
• Strongly favor simplicity over complexity. Ie, adhering to the KISS principle.
• Have a sense for identifying, exploiting and elevating bottlenecks.
• Are not afraid of expressing yourself in English. We aren't expecting you to have the Queen's accent, but you'll be part of an international team and we communicate in English, so you should be comfortable with that.
• Enjoy herding cats and shaving yaks. Ie, being a great influence to other product teams and teaching them best practices. As well as analyzing and simplifying our setup.

Projects you could work on:

• Helping us iterate on and improve our Kubernetes setup (AWS EKS) and surrounding infrastructure (i.e. secrets, container images and repositories) using Terraform.
• Iterate our networking layer to implement network policies, service mesh, and more…
• Evolving our observability platform (Grafana stack and Cortex), in order to provide a first-class service to all of our engineering teams.
• Operating and improving the persistence layer (SLQ and no-SQL DBs).
• Maintaining our company-wide code repository and continuous integration solution (GitLab)

What’s it like to work at Cabify?

We’re a company full of happy, motivated people, and we never want that to change. Here are some more reasons why it rocks to be part of our high-performance team:

💶 Excellent Salary conditions: L4 [up to 75K]
🏝️ Recharge day: 10 Fridays Off Annually!
🌍Our office is located in Madrid. This position is also open to a full remote role based in Spain.
⌚Flexible work environment & hours.
🙌Regular team events.
🚗Cabify staff free rides.
🚀Personal development programs based on our career paths.
🧘‍♀️ iFeel: Free access to the iFeel platform, so you can take care of your emotional well-being through therapy sessions.
📐Coursera: your own license in Coursera to take as many courses as you wish and continue developing your skills.
📐Free access to O'Reilly - The largest technical leading platform for engineers.
💳Flexible compensation plan: Restaurant tickets, transport tickets, healthcare and childcare
💻All the equipment you need (you only have to bring your talent).

At Cabify, diversity fuels our Product & Engineering teams. We actively recruit talent beyond traditional channels, embracing individuals from diverse backgrounds and supporting initiatives like - Women Tech Dating - Contrata Diferente and our Internal Diversity Committee. Our commitment is reflected in inclusive job descriptions, creating an environment where every contribution is cherished. Join Cabify to be part of innovative teams that truly represent the rich tapestry of talent in the tech industry.

Join us!

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 App of the Day.

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

With the growth of our iOS app, being the #18 productivity app in the App Store category and also our recent recognition as Apple's 2025 Design Award for inclusivity, we find the need for a Senior iOS Engineer to help us support the new user base as well as work on new and exciting projects to push our missing forward.   

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, 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

• Opportunity to lead key engineering and product decisions
• Actively shipping production code for the Speechify iOS app
• Work within a dedicated product team
• Participate in product discussions to shape the product roadmap
• Maintain and enhance the existing complex app architecture

An Ideal Candidate Should Have

• Experience. You've worked on products that scaled to a large user base
• Track record. You have worked on various products from inception to decent traction. You have been responsible for engineering the product
• Customer obsession. We expect every team member whose responsibilities directly impact customers to be constantly obsessed about providing the best possible experience
• Product thinking. You make thoughtful decisions about the evolution of your product and support internal teams and designers into taking the right direction
• Speed. You work quickly to generate ideas 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
• Technical skills. Swift, SwiftUI

Technical Requirements:

• Swift Programming Language
• SwiftUI experience
• Experience in Multithreading Programming
• Working with CI/CD infrastructure
• Experience with Fastlane
• SOLID principles, the ability to write every single class according to SOLID
• Experience with Git and understanding of different Git strategies

What We offer:

• A fast-growing environment where you can help shape the company and product
• An entrepreneurial crew that supports risk, intuition, and hustle
• The opportunity to make a big impact in a transformative industry
• A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture
• Work on a product that millions of people use and where daily feedback includes users sharing that they cried when they first found the product because it was so impactful on their lives
• Support people with learning differences like Dyslexia, ADD, Low Vision, Concussions, Autism, and Second Language Learners, and give reading superpowers to professionals all over the world
• Work in one of the fastest growing sectors of tech: 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.

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 Design award winner for inclusivity for 2025.

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

With the growth of our Android app, being the most used text-to-speech app in the Play Store, we find the need for a Senior Android Engineer to help us support the new user base as well as work on new and exciting projects to push us forward.   

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, 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

• Owning major features and working closely with our design team - take ownership of features inside the app and become responsible of delivering high quality features
• Shape the future of our Android team
• Own, maintain and improve reliability metrics for key features
• Participate in discussions across different teams - Product, Design, Engineering
• Review pull requests, and support other teammates
• Handle critical issues or cope with unexpected challenges 
• Take ownership of feature releases and provide nightly builds for the QA team

An Ideal Candidate Should Have

• 5+ years of software engineering experience
• Familiarity with Android components
• Experience building or contributing to at least one Android app
• Product design intuition and user empathy
• Drive to push the boundaries of Android UI/UX
• Understanding of the importance of tests and how to approach writing tests
• Self-drive to improve the app and codebase above and beyond what's outlined in the spec
• Rock solid experience with Kotlin, Kotlin Coroutines, Kotlin Flow, Dagger 2, MVVM, Clean Architecture, Background Services, Music Player Service, Android Animations, Jetpack Navigation, JUnit tests
• Excellent communication skills
• User oriented problem solving approach
• Driven with continuous feedback from leaders

Bonus:

• Experience building, maintaining, or otherwise contributing to open source projects in Android
• Experience with iOS, Web or NodeJS

Technologies we use:

• Kotlin
• Kotlin Coroutines
• Kotlin Flow
• Jetpack Navigation
• Dagger 2
• Room
• Custom Views, Canvas & Paint
• Jetpack Compose
• JUnit

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.

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.

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

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:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• 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

We’re building a new team building to bring the power of Datadog to developers within AI-focused Developer workflows such as AI agents like Cursor, Claude code, GitHub Copilot and Datadog’s native AI agents.

We’re looking for product-minded engineers who are excited about developer tools, SDLC improvements and AI in general to help us quickly define and ship features and tools that make all Datadog customers 10x developers.

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: 

• Work on agents, prompts, evals, MCPs and direct agent tools from ideation to productization, for allowing Datadog to help companies and developers to maximize the benefit of their integration with Datadog
• Help conceptualize and build innovative User flows and experiences within Datadog’s user space and different extensions 
• Prototype and see what works well in the real world, iterate closely with our users, and then ship
• Follow the latest research on LLM prompt optimization, agents, and code editing.
• Support other Datadog product teams to help them build and productionize their developer-focused AI Workflows. For example, you’ll work with the Live Debugger team to create an agentic production debugging experience, delivering on the vision of  “one click to reproduce” for production errors.

Who You Are: 

• You’re a backend engineer with at least 5 years of professional experience who values code simplicity and performance. You’ve shipped software that uses LLMs to production
• You are passionate about Generative AI and its ability to help software engineers be more productive
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution
• You want to work in a fast, high-growth startup environment that respects its engineers and customers
• You have experience writing classic or AI oriented developer tools(such as IDEs, static code analysis, SDLC tools etc).
• You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience

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

At Datadog, we leverage AI across our observability platform to improve monitoring, speed up incident resolution, and ensure data reliability for cloud applications.

Datadog’s Deployment Gates team builds customer-facing systems that decide whether software should ship to production. Deployment Gates sit directly in customers’ CI/CD pipelines and use observability data to answer one of the hardest questions in software delivery:
Given everything we know right now, is this deployment safe to proceed?

In this role, you will:

• Work on an analysis service that prevents incidents by detecting faulty software changes in production before they reach clients

• Lead the design of progressive deployment automation, starting with zero-setup, conservative AI rules and evolving toward adaptive gates that learn from incidents and organizational patterns
• Design the foundation for autonomous remediation, connecting what changed in code to what broke in production, from blocking and rolling back unsafe deployments to proposing fixes and enforcing policies

This is a highly product‑minded engineering role: you’ll work from problem discovery and UX all the way to reliable, scalable production systems.

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:

• Build AI-driven deployment gates: Design and ship decision systems that evaluate customer deployments using CI/CD context and Datadog telemetry, producing safe, explainable allow/block outcomes
• Own evals and rollout: Define precision, recall, and trust metrics; build offline and online evals; validate changes in shadow mode; and safely promote improvements to enforcement
• Design for robustness and safety: Implement conservative defaults, guardrails, fallbacks, and human-in-the-loop paths so gates behave predictably under noisy or incomplete data
• Partner closely with Product: Work hand-in-hand with the Product Manager to translate customer problems, adoption signals, and roadmap goals into concrete technical decisions and iterations
• Integrate across the Datadog platform: Partner with internal AI teams building the Faulty Deployment Detection pipeline, as well as teams working on LLMs and AI agents
• Own production systems: Build and operate reliable backend services that run in the critical path of customer deployments, and be on-call for those services

Who you are:

• A Product‑minded engineer who ships AI to production
• You have 5+ years experience with backend systems and microservices performance: tracing, latency breakdowns, concurrency, and resiliency patterns
• You are proficient in a modern programming language; strong API/service design; production ops (monitoring, alerting, on‑call rotation)
• You have proven experience delivering software based on LLM/agent features to production
• You are comfortable owning user journeys, iterating from prototype → alpha → GA, and measuring impact with clear product metrics
• An End-to-end AI implementation owner: You understands the end-to-end LLM product lifecycle
• Fluent with offline/online evals for AI systems
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output

Bonus Point:

• Experience with Continuous Delivery tools (i.e. ArgoCD / Argo Rollouts, Spinnaker, Octopus Deploy)
• Exposure to planning/agent frameworks, tool‑use orchestration, RAG, and retrieval/indexing for observability data
• 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 Data Science team designs and builds algorithmically driven features in the Datadog app. We work across a range of applications, primarily focusing on analysis on streaming data such as anomaly detection, error outliers and faulty deployment analysis. As a Software Engineer on the Data Science team, you will design, build and scale the backend systems that power our growing suite of Watchdog products. You will be working on large-scale distributed systems, horizontally-scalable datastores and a variety of data-processing frameworks to build our next-generation platform and capabilities for Data Science at Datadog. 

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: 

• Build common services and components encapsulating data science capabilities for other products and teams to leverage
• Enable new capabilities for our core products by integrating and preprocessing data from tens of sources and preparing it for incorporation into data science models
• Ensure that our data science-driven features continue to scale well as Datadog adds more customers and ingests more data per customer
• Leverage modern tools and frameworks to improve the performance and cost-efficiency of data science services
• Join an amazing team of data scientists and software engineers building a product that our customers love to use
• Work all over the stack, moving fluidly between programming languages and technologies
  

Who You Are: 

• You have experience working in Python, Java, Scala or Go 
• You have experience working with microservices and/or distributed systems
• You value simplicity and getting the right things done
• (Senior Level) You have built high-volume data pipelines
• (Senior Level) You have expertise in Python, Go or Scala and are familiar with Spark or Flink
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how

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: 

• Competitive global benefits 
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Opportunity to collaborate closely with colleagues across the Datadog offices in New York City and Paris
• Opportunity to attend and present at conferences and meetups
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)

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

#LI-ER1

#LI-Hybrid

We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.

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:

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
• Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
• Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
• Drive product direction with a strong user focus, always advocating for the best end-user experience.
• Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
• Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
• Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

Who You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• 10+ years of relevant engineering experience, as well as experience acting as a technical lead
• Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
• You have significant experience in model deployment, development, training, fine-tuning, and evaluation
• You are passionate about mentoring others and cultivating a high-performing engineering culture.
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
• 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:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

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

#LI-Remote

We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.

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:

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
• Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
• Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
• Drive product direction with a strong user focus, always advocating for the best end-user experience.
• Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
• Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
• Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

Who You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• 10+ years of relevant engineering experience, as well as experience acting as a technical lead
• Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
• You have significant experience in model deployment, development, training, fine-tuning, and evaluation
• You are passionate about mentoring others and cultivating a high-performing engineering culture.
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build.
• 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:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

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

#LI-Hybrid

We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.

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:

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
• Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
• Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
• Drive product direction with a strong user focus, always advocating for the best end-user experience.
• Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
• Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
• Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

Who You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• 10+ years of relevant engineering experience, as well as experience acting as a technical lead
• Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
• You have significant experience in model deployment, development, training, fine-tuning, and evaluation
• You are passionate about mentoring others and cultivating a high-performing engineering culture.
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build

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:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

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

#LI-Hybrid

We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.

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:

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
• Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
• Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
• Drive product direction with a strong user focus, always advocating for the best end-user experience.
• Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
• Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
• Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

Who You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• 10+ years of relevant engineering experience, as well as experience acting as a technical lead
• Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
• You have significant experience in model deployment, development, training, fine-tuning, and evaluation
• You are passionate about mentoring others and cultivating a high-performing engineering culture.
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build

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:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

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

#LI-Remote

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

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:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• 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

At Datadog, we’re on a mission to bring security and observability together for modern organizations. Bits AI for Security is our AI agent that leverages LLMs to help analysts investigate alerts, understand threats, and respond faster. We’re looking for a product-minded AI Engineer to help us build the next generation of AI-driven security capabilities.

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:

• Work closely with users, security experts, PMs, and data scientists on cutting edge AI agents that drive real value for our customers
• Develop tools, retrieval and planning strategies, and guardrails; manage prompts/evals; design fallbacks and human‑in‑the‑loop paths
• Collaborate with Product, Design, and partner teams to build cohesive experiences
• Prototype and see what works well, iterate closely with our users and experts, and then ship
• Follow the latest research on GenAI and AI agents

Who You Are:

• You have a BS/MS/PhD in Computer Science, Engineering, Artificial Intelligence or a related scientific field or equivalent experience
• You’re a backend engineer with at least 4 years of professional experience (Go, Python, Java, etc.) who values code simplicity and performance
• You have relevant work experience with LLMs, large-scale systems, machine learning, or adjacent fields. You’ve shipped software that uses LLMs to production
• You want to work in a fast, high-growth startup environment that values its engineers
• You are a good communicator and can drive hard technical conversations towards a pragmatic solution
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output

Bonus Point:

• Excited to work in the security domain, with an understanding of how analysts investigate threats and alerts
• Fluency with offline/online evals for AI systems; can build reliable golden sets and automatic regressions
• Experience scaling products in a high-growth SaaS environment
• 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

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

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:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• 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

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

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:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• 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

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.

At JetBrains, code is our passion. Ever since we started back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

AI Assistant is an advanced software tool that leverages artificial intelligence to aid developers in various tasks. Our team develops the AI Assistant plugin for JetBrains IDEs. This tool integrates AI into the coding environment, enhancing features like code completion, debugging, and VCS operations. We’re striving to make JetBrains AI Assistant the most useful and intuitive AI-powered tool on the market, focusing on core features such as code completion, code generation, refactoring, and general assistance via chat.

As part of our team, you will:

• Perform functional, exploratory, and regression testing.
• Design test cases and write specifications.
• Reproduce bugs and verify fixes.
• Communicate with the team, as well as internal and external users.
• Participate in feature discussions and planning.
• Have the opportunity to get hands-on experience working with data, performing online experiments, and measuring the impact of features on end users.

Requirements:

• Experience in testing without functional specifications.
• Knowledge of testing methodologies.
• Understanding of programming concepts sufficient for writing simple applications.
• Experience with Java or Kotlin.
• Commitment to working as a team, sharing your knowledge, and being open to other points of view.

You’ll be great for our team if you:

• Have an interest in machine learning.
• Have experience working with data and know how to make data-informed decisions.

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible.
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI 

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.

Eager to learn more or just want to share your resume for future opportunities? If you have the learning attitude, you are welcome! Learn more about our functional teams below and discover how you can shine brighter with Lighthouse!

Engineering #LI-DNI

Byte-ing into 100TB of data daily to serve our clients a digital feast of top-notch insights. Our team is composed of engineering champions, to include Software Engineer's, Solution Architect's, and Engineering Team Lead's.

Finance

Providing unwavering support as one unit and joyful number crunchers who thrive on collaboration and take on any challenge. Start your finance journey with Lighthouse as a Finance Coordinator, Credit Collector, Accountant, or other finance function.

Business Operations

Incubating and scaling new lines of business as cross-functional ninjas with a pulse on the operating rhythm of Lighthouse. Whether you start as a Revenue Manager, Sales Operations Specialist, Analytics Engineer, or other cross-functional ninja, the sky is the limit.  

Customer Operations

Delivering white-glove client service by strengthening customer relationships and providing an unmatched customer experience. From Product/Technical Support Specialist's, Customer Care Manager's, and Client Onboarding Specialist's, our customer operations team are champions at fostering a client centric experience.

Legal

Ensuring every ‘T’ is crossed and every ‘i’ is dotted as guardians of Lighthouse legality with a fortress of contracts

Marketing

Innovation meets imagination in the world of travel and hospitality technology on our marketing team

People & Talent

Powering Lighthouse’ success by cultivating talent, fostering a culture of growth, and enhancing the employee experience

Product

Crafting the industry’s best products, all while juggling requests from sales

Revenue

Our revenue team of sales practitioners and account managers champion providing the hospitality industry with the very best products to optimise their commercial strategy

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.

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

Responsibilities

We are hiring a Senior Infrastructure Engineer to join our Global Core Infrastructure team and help build and operate the global platform . You will work closely with engineers across international teams to design, scale, and secure the systems that power Workato’s automation platform - trusted by thousands of enterprises and processing billions of events every day.

As a Senior Infrastructure Engineer, you’ll be part of the team responsible for the architecture, scalability, and reliability of Workato’s distributed cloud platform. You’ll design and optimize the systems that allow our services to run securely and efficiently at scale. This is a highly technical role that requires deep experience with cloud infrastructure, Linux internals, and large-scale distributed systems.

• Design, build, and maintain a global, distributed, and resilient cloud infrastructure.

• Collaborate with engineering teams to plan and deliver complex platform initiatives.

• Patch and optimize open-source components for performance and security.

• Develop low-level internal services using Linux syscalls and networking primitives.

• Manage and provision AWS infrastructure using Terraform and Kubernetes.

• Write and maintain Kubernetes manifests and deployment configurations for critical workloads.

• Improve and maintain CI/CD pipelines for scalable and secure component delivery.

• Tune Linux systems and open-source software for high performance and hardened security.

• Build internal tools to streamline engineering workflows and operational automation.

• Participate in architecture reviews, incident response, and performance analysis to ensure system reliability.

Requirements

• 7+ years of experience in infrastructure or systems engineering roles.

• Proven expertise in distributed systems and cloud-native architectures.

• Strong understanding of Linux internals, including networking and system-level performance tuning.

• Experience operating infrastructure on AWS at scale.

• Proficiency with Terraform, Kubernetes. 

• Solid understanding of network security and cloud security best practices.

• Hands-on experience optimizing CI/CD workflows and automating deployments.

• Excellent analytical, troubleshooting, and communication skills.

Nice to Have

• Experience with Golang for tooling or internal services.

• Familiarity with Kafka, Redis, ClickHouse, PostgreSQL, or similar technologies.

• Experience with observability tools such as Grafana, Prometheus, or VictoriaMetrics.

• Understanding of Vault or other secrets management systems.

• Contributions to or maintenance of open-source infrastructure projects.

Tech Stack

• AWS • Terraform • Kubernetes • Docker • Linux • Golang • ArgoCD • Kafka • PostgreSQL Redis • ClickHouse • Grafana • VictoriaMetrics • Vault

(REQ ID: )

At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the world’s most robust and effective developer tools. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

We are now building services and agentic tools that provide AI coding agents and end users with deeper context about codebases. Our code retrieval service already delivers meaningful improvements in agent speed and task performance, and we aim to push this further – extracting richer insights than snippets alone at the scale of several hundred thousand repositories. 

We are looking for an AI Engineer who can design and implement agentic tools from scratch, bring them to the end users, and make coding with agents smarter, faster, and more reliable.

In this role, you will:

• Translate product needs into agentic tools and services and ship them to production.
• Scale prototypes to large numbers of users.
• Improve and test our semantic search service.
• Build evaluation pipelines for code retrieval and coding task performance.

We’ll be happy to have you on our team if you have:

• At least five years of hands-on NLP experience.
• Experience in information retrieval systems.
• Strong experience in LLM prompt and tool engineering, as well as with AI agents.
• Solid programming skills in Python and/or Kotlin (and the willingness to learn the language you’re unfamiliar with).
• Experience building and operating production-grade software systems.

We’d be especially thrilled if you have:

• Experience developing in Kotlin or Java.
• Previously worked with code intelligence (e.g. AST, symbol graphs).

#LI-DNI

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're looking for a hands-on Platform/Observability Engineer to join our infrastructure team. You'll own and evolve our observability stack - from logging pipelines and tracing to metrics and alerting - across a multi-datacenter, Kubernetes-based environment. This is a production-first role: you'll be expected to ship, iterate, and improve systems under real delivery pressure, not just design them on paper.
You'll work closely with other infra and product engineering teams to improve observability coverage, reduce operational toil, and help the broader organization adopt better practices.
Tech Stack Highlights: OpenTelemetry · Kafka · Vector · VictoriaMetrics · EKS · Kubernetes · Logging pipelines · Distributed tracing · SPM· AWS

• Designing, deploying, and maintaining production observability stacks (logs, metrics, traces)

• Scaling observability infrastructure across multiple data centers and Kubernetes clusters

• Owning logging pipeline architecture and refactoring efforts

• Improving distributed tracing coverage and driving adoption across engineering teams

• Managing EKS upgrades, node exporters, agents, and collectors

• Automating operational tasks to reduce toil and improve system stability

• Contributing to compliance and audit readiness (access controls, data handling, pipeline integrity)

• Evaluating and adopting new observability tooling - knowing what's worth pursuing and what isn't

Requirements

Core technical experience:

• 8+ years of industry experience

• Solid hands-on production experience with observability systems

• Strong plus - familiarity with OpenTelemetry, Kafka, Vector, and VictoriaMetrics (vmagent, alerting rules)

• Experience with logging pipelines: design, deployment, and refactoring

• Understanding of distributed tracing and SPM (Service Performance Monitoring) built on top of tracing

• Experience with Kubernetes cluster lifecycle management (EKS preferred)

• Practical knowledge of storage trade-offs for observability data at scale

Nice to have  

• Experience using AI to automate infrastructure or observability tasks (e.g., automated RCA, PR generation, deployment workflows)

• Familiarity with AI-assisted tooling selection and workflow integration

• Experience with MCP (custom or open-source implementations)

• Background in cloud account or environment migrations

• Experience preparing infrastructure for compliance/audit processes

• Understanding network architecture, troubleshooting and incident resolution skills in Production environment, writing Post-mortems.

• Experience with containers and Kubernetes (installation and configuration of operators). 

• Basic knowledge of one or more high-level programming languages, such as Python, Golang, Java

Soft Skills / Personal Characteristics

• Good communication and collaboration skills in international technological companies.

• Interest in modern big distributed storage technologies, architectures.

• Good Spoken English to participate in product-related, architectural and technical discussions.

• Proper balance between being hands-on and deeper analytical approaches

(REQ ID: 2640)

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)