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

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

Responsibilities:

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

You’d be a good fit with:

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

You’d be a great fit with: 

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

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

Do you want to work for one of the biggest consulting companies in Spain, working more than 12 hours a day and not having a life? We don’t either. So come and be part of a cool worldwide company, building things that matter to a real business, learning and making an impact while also enjoying your life. Our motto is: "Life before work".

At​ ​mediasmart,​ ​we​ ​are​ ​looking​ ​for​ ​a​ Senior DevOps/SRE​ ​to​ ​join​ ​our ​team,​ ​whose​ ​main​ ​function​ ​will​ ​be​ ​to develop for the main products we offer to users: the API and the web frontend

About mediasmart

mediasmart is part of the Affle group - a global adtech company that completed its successful IPO in India in 2019 and has been growing profitably since. Affle group has been in the adtech/martech business for over 15 years and runs multiple ad platform businesses including Appnext, MAAS, mDMP, Jampp, RevX, Vizury, Youappi in addition to mediasmart.

Some of the key investors in Affle Holdings include Microsoft and D2C (JV between NTT DoCoMo & Dentsu).

At mediasmart, our mission is to allow advertisers to effectively reach audiences across their digital journeys in real time, while maximizing engagement with campaigns and their incremental value to advertisers. mediasmart was one of the first players to enter the programmatic mobile ecosystem and to date our proprietary technology stack includes a DSP, DMP & Ad-Server, as well as direct connections to more than 30 ad exchanges where we buy display, video and native ads on mobile apps, Connected TVs, DOOH and desktop.

The mediasmart business is headquartered in Spain having fast growing global teams across APAC, LATAM in addition to Europe. 

Our culture and values

• Be a generous team player. One that helps others succeed and celebrate their success.
• Love curiosity. Keep learning and stay relevant.
• It’s a team effort. Collaborate and cooperate to build a smart company.
• Go farther. Be an example for others. Set the bar.
• Love what we do. Love our work with passion and respect.
• Do good and do well. Our work matters.

We work hard and never forget to have fun in the process. Absolutely devoted to our customers and to building the best mobile advertising company out there, our passion shines through everything we do.

Summary & Duties

As a Sr. DevOps Engineer, you will be a key player in scaling and refining a high-performance programmatic advertising platform. You won’t just maintain servers; you will evolve an elastic, global infrastructure that handles massive traffic peaks with millisecond precision.

You will work in constant collaboration with our local Engineering teams and the Global DevOps unit, ensuring that our platform's stability and scalability remain world-class while we iterate on our deployment velocity.

• Automate tasks such as application configuration and deployment.
• Contribute to the technical decision-making process to define the platform strategy.
• Build and maintain monitoring and alerting platforms.
• Apply DevOps methodologies with a continuous improvement mindset.
• Engage in upcoming projects’ infrastructure to ensure scalability and fault tolerance.
• Maintain high availability during traffic spikes, disasters, and malicious attacks.
• Work closely with the software development team to ensure systems are monitored 24x7.
• Review and drive continuous improvement initiatives across the platform, optimizing infrastructure, processes, and system and product performance.
• Collaborate with different Business Units across Affle Group to improve methodologies, processes, and technical best practices.

Requirements

• Strong Linux knowledge and troubleshooting skills in production environments.
• Solid experience working with Cloud platforms, especially AWS services such as EC2, RDS, S3, IAM, etc.
• Experience with infrastructure and configuration as code tools (Terraform, Ansible, etc.).
• Hands-on experience managing and scaling CI/CD platforms (Jenkins, GitHub Actions, etc.).
• Scripting experience with Bash for automation and operational tasks.
• Experience managing high-volume and highly available services.
• Knowledge of networking concepts, monitoring systems, and database administration.
• Hands-on experience with container orchestration platforms such as Kubernetes or Nomad.
• Availability to participate in on-call rotations to support production environments and after-hours incidents.
• Proficiency in English and Spanish, both written and spoken, to collaborate effectively with global teams.

Desirable requirements

• Experience with programming languages such as JavaScript/Node.js or Python.
• Knowledge of low-latency systems and distributed architectures (AdTech RTB, Trading platforms, etc.).
• Understanding of security, privacy, and compliance best practices for Operating Systems and Cloud Services.

Skills

• Analytical, curious, goal-oriented
• Strong orientation to detail, with an ability to collect and organize data, understand the results, and communicate them effectively
• Excellent interpersonal and communication skills, both written and oral
• Ability to motivate others to work as a team to meet the business case and customer goal
• Being proactive
• Ability to take personal initiative and prioritize workload whilst being a team player within a collaborative environment

Other perks of the job

• Flexible working hours
• To be part of a small team with direct impact in the final product
• Using state of the art technologies
• Educational resources
• Creative Fridays: one day every two weeks to work on your own ideas

Highlights:

Location: Remote (CET hours preferred)

Compensation: €4,900 - €6,200 Gross + stock options

Language: Russian-speaking team

About Fundraise Up

We’re Fundraise Up - a global fundraising platform built to make donating to nonprofits fast, seamless, and accessible to all. Every month, our technology powers tens of millions of dollars in donations across the globe. We focus on innovation that directly impacts results: faster load times, higher conversion rates, global payment support, and accessibility-first design.

Our platform is trusted by many of the world’s leading nonprofits, including UNICEF, the Alzheimer’s Association, and a wide range of global NGOs. With a 4.9/5 rating across top software review platforms, we’re recognized not just for our impact - but for the quality of the product we deliver.

A Truly Global Product

We operate in the enterprise segment, serving nonprofit organizations across North America, the United Kingdom, Australia, and Europe.

We’re building a large and complex product ecosystem that serves nonprofits, donors, and partners around the world. The platform includes a modern checkout experience and customizable widgets (each a standalone SPA), donor, organization, and partner portals, admin tools, and several internal apps.

Our backend is powered by Node.js (Koa, NestJS) and MongoDB. The frontend stack includes Webpack, Vue.js, and React, with nearly all code written in TypeScript. For high-throughput messaging and background processing, we use Kafka (for millions of events) and Bull (Redis). Analytics data is stored in ClickHouse, and we use Elasticsearch for search.

The Team

We are a distributed team of 160+ product professionals, including 80+ engineers. Our team members are mainly based across Spain, Poland, Portugal, Georgia, Armenia, Serbia, Turkey, and Cyprus. Many of our developers bring 5 - 10+ years of experience, and we foster a culture of deep technical curiosity and knowledge sharing.

Despite our scale, we operate like a focused team - where every task matters and every voice is heard. We value thoughtful collaboration, strong engineering practices, and a product mindset. You’ll be joining a team where quality, mentorship, and mutual respect come first.

About the Role

You will join a small team responsible for the stability, performance, and security of our server infrastructure: bare metal, VMs, databases, queues, networking, and infrastructure security. Our philosophy is simple: the team owns its systems end-to-end, and every engineer should be able to diagnose and fix issues in their area of responsibility.

This role is for someone who enjoys working with real infrastructure (OS, hardware/virtualization, networks), not just cloud abstractions.

What You'll Do

• Work primarily with on‑premise infrastructure (bare metal and VMs): setup, maintenance, troubleshooting
• Drive clarity in ambiguous situations by defining requirements, assumptions, and next steps
• Own automation projects end‑to‑end (design → rollout → maintenance)
• Improve how we operate: harden and tune systems and also improve the way the team works in terms of operational hygiene
• Keep the platform stable, fast, and secure: servers, web servers, databases, queues
• Investigate production incidents across OS / networking / infrastructure layers, apply temporary mitigations, coordinate with developers and participate in post‑mortems
• Participate in on‑call rotations
• Use AI in all aspects of day‑to‑day work: researching, troubleshooting, developing

Requirements

• 4+ years as a DevOps Engineer / SRE (or very close responsibilities)
• Real, hands-on experience with servers (VMs, bare metal) at the OS level and below: configuring, troubleshooting, digging into “why it’s broken”
• Confident Linux skills (we use Ubuntu). We expect you to be comfortable with the core tools from Linux Crisis Tools
• Solid understanding of networking basics; ability to configure and troubleshoot iptables
• Ansible + Git
• Experience with Bash or Python scripting for automation/observability
• Production/on‑call experience: diagnosing incidents, restoring service, participating in post‑mortems
• Ownership and attention to detail. Downtime is expensive: five years ago, 10 minutes of downtime cost us $100k — today it’s even more

Nice to Have

We understand it’s impossible to be an expert in everything, but it’s important to have solid hands-on experience in two or more of the areas below:

• ClickHouse, MongoDB: what each database is used for, monitoring, troubleshooting performance and slow queries, sharding
• Kafka: operating clusters at scale (topic moves, broker replacements, tuning)
• Redis: high‑load tuning, replication, sharding, performance monitoring
• Elasticsearch: configuration, scaling, sharding/cluster management
• HAProxy / Nginx: load balancing, SSL/TLS, caching, reverse proxying, performance monitoring
• OS tuning: kernel/network stack/filesystem parameters for high‑load systems
• Full Disk Encryption on LVM: We use Clevis + Tang in production
• Infrastructure Security: Teleport, HashiCorp Vault

Bonus points

Great if you’ve worked with any of the following:

• VictoriaMetrics and how it differs from the Prometheus stack
• Complex CI/CD pipelines. We use scripted Jenkins pipelines
• Bare‑metal Kubernetes: provisioning, networking (MetalLB or alternatives), isolation from the internet, scaling across providers (like OVH, Hetzner) and integration with existing infrastructure
• Flux and GitOps
• Terraform

Why work with us

• A strong, collaborative product team that owns what it builds
• Clear product vision and access to real customer feedback from global nonprofit leaders
• Flat structure: no politics, just great work with great people
• Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
• Long-term focus: we offer equity options and value sustained, meaningful contribution

Benefits

• Private medical insurance for the employee and their family
• 23 paid vacation days per year
• 11 paid public holidays per year
• 5 company-paid sick leave days
• English learning courses.
• Relevant professional education.
• Gym or swimming pool.
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
• Co-working.
• Remote working.

_{**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.}

See yourself at Twilio

Join the team as Twilio’s next Senior Cloud Software Engineer.

About the job

This position is needed to help out the Edge Services team. The team that is responsible for the ingestion of Twilio’s Web Console and API traffic, and its supporting services. As part of the Edge Platform organization, we provide building blocks for all Twilio customers and engineers alike, with high-availability and low-latency requirements, in order to effectively enable over billions of inbound requests every day. We take great pride in wearing customer’s shoes and making decisions inclusively. It is extremely important for us to build services with exceptionally high uptime, availability, and success rates.

Responsibilities

In this role, you’ll:

• Lead the execution end-to-end: Design and lead the implementation of scalable, high-availability cloud infrastructure, moving beyond feature work to drive long-term platform strategy while championing Twilio’s "progress over perfection" mindset to deliver continuous, high-impact shipments.
• Operational Excellence: Own the reliability of services handling billions of weekly requests, setting the standard for operational best practices and incident response.
• Infrastructure Strategy: Drive the evolution of our Infrastructure as Code (IaC) patterns using Terraform, ensuring modularity, security, and reusability across the organization. Always aim for a self -service approach such that it keeps the team’s TOIL at minimum.
• Continuous optimization: Continuously looks for optimizations in our pipelines/releases/deliveries that balance rapid deployment with rigorous safety checks.
• Technical Mentorship and Reviews: Actively mentor L1 and L2 engineers as well as help with code reviews, design docs, and pair programming to foster a culture of technical excellence.
• Cross-Functional Influence: Collaborate with Cross teams, Product and Engineering leadership to align technical roadmap, debt reduction and new feature deliveries.
• Continuous Innovation: Be an owner and continuously research and prototype to optimise Twilio’s API infrastructure to provide best in class service to the customers

Qualifications 

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

*Required:

• 5+ years of professional experience in Cloud, DevOps, or Site Reliability Engineering (SRE), with deep proficiency in Python, Java, Go or another other language of choice.
• Architectural Depth: Proven track record of designing and deploying complex AWS cloud-native solutions (e.g., CloudFront, Multitenancies, DNS, Caching strategies, WAF, Lambda, S3, developing hosting solutions, etc) at scale.
• IaC Expert: Advanced experience with Terraform, including writing custom providers or managing state at scale across multiple environments.
• System Reliability: Deep understanding of SLIs, SLOs, Golden signals, Error Budgets and establishing monitoring strategies; in depth experience using Datadog, Grafana, or Athena to drive data-informed engineering decisions.
• Strong background in microservices architecture, specifically regarding traffic routing, rate limiting, and service discovery.
• Demonstrated ability to lead technical projects from conception to completion, navigating trade-offs and communicating complex technical concepts to non-technical stakeholders.

Desired:

• Experience implementing security-at-scale, including WAF management, DDoS mitigation, and Zero Trust architectures.
• Platform Engineering previous experience, passion for building "Internal Developer Platforms" that abstract infrastructure complexity for product teams.
• A proven track record of contributing to the cloud-native or networking ecosystem, also has contributions to public Terraform providers or similar open-source initiatives

Location

This role will be remote, and based in Spain.

Travel 

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

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

We are hiring a Senior Security Engineer to protect the people, infrastructure, and tooling that goes into building and hosting Mattermost. This is a hands-on, high-impact role at the intersection of enterprise security engineering, cloud information security, and AI-enabled threat response.

Why Join Mattermost

•   Fully remote, globally distributed team | no commute, genuine flexibility
•   Be a key voice in shaping and delivering security strategy
•   Competitive salary, equity, and benefits with meaningful work attached

The Role

As a Senior Security Engineer, you will lead the design and implementation of security tooling, harden our cloud and IT infrastructure, and serve as a key responder to incidents. You will work across a globally distributed team and partner closely with Engineering to manage AI-enabled risk.

Key Responsibilities

• Lead security and IT projects to enhance the security posture of infrastructure and the company
• Detect, investigate, and remediate security incidents using SIEM, EDR, and SOAR tooling (e.g. CrowdStrike, SentinelOne)
• Conduct threat hunting across cloud and endpoint environments using a Zero Trust framework
• Administer company-wide IAM and security monitoring infrastructure
• Contribute to security policies, incident response, forensics, and endpoint management programmes
• Partner with Engineering to assess and mitigate risks from AI-enabled tools and workflows
• Explore and implement AI/automation in detection, analysis, and response pipelines
• Engage closely with North American and international staff across time zones

Required Background & Skills

•   Bachelor’s degree in Computer Science or a related field, or significant professional security experience
•   3+ years of hands-on experience in security engineering and incident response
•   Experience with SIEM platforms and security monitoring systems
•   Experience with EDR tools such as CrowdStrike or SentinelOne
•   Knowledge of SOAR platforms and automation of security workflows
•   Familiarity with Zero Trust architecture principles and threat hunting methodologies
•   Experience with cloud security controls across AWS, GCP, and/or Azure
•   Strong knowledge of Linux systems and Kubernetes/Docker environments
•   Experience with IAM solutions and infrastructure automation
•   Practical experience evaluating security implications of AI systems and AI-assisted workflows
•   Experience managing security of Microsoft 365 and Google Workspace tenants
•   Excellent written and verbal communication skills

Preferred Background & Skills

• Experience with certification processes: SOC2, ISO 27001, FedRAMP, or Cyber Essentials Plus 
• Certifications: OSCP, GCIH, GCFA, or equivalent penetration testing / incident response credentials
• Experience in Go or Python
• Background in open-source communities
• Endpoint security management experience in a fully remote organisation

Export Control & Eligibility

This role may involve access to information subject to U.S. export control regulations (EAR/ITAR). Applicants should be aware that eligibility requirements may apply. We encourage candidates with questions about this to reach out. Many Spain-based security professionals with defence backgrounds will qualify. We are happy to discuss your specific situation.

Mattermost takes a market-based approach to pay and pay may vary depending on your location. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

How you'll help us achieve it

Wave is now the largest financial institution in Senegal and Côte d'Ivoire, with millions of users, growing rapidly year-on-year. And, we’re still in the early days of our product roadmap and potential impact on people’s everyday lives.

We’re looking for an experienced security engineer who’s independent, excited about getting things done, and ready to hit the ground running. You'll primarily be responsible for our application security, working with our product teams to work on new systems to enhance our security posture. Our customers trust us with their money, and you’ll be at the forefront of making sure we retain that trust!

This broadly scoped role will allow you to get your hands on many different types of security projects, from direct application security to helping our infrastructure team think about security for our databases. 

Some experience with common industry certifications like ISO-27001 and PCI-DSS would be beneficial, although you won’t be expected to run or oversee audits.

Our to-do list changes constantly, but here are some recent projects and activities:

• Centralise application-level login and permissions enforcement
• Configure and utilise external SIEM solutions to monitor our infrastructure
• Help us increase our posture around secret management
• Security review of our public-facing APIs
• Partner with teams across Wave to define secure guardrails, supporting investigations and incident response
• Work with our IT Team to fix any non-conformities found during audits by central banks and ISO certification

Our stack (prior experience is a strong plus, but not required):

• backend: Python 3 (+ mypy)
• API layer: GraphQL
• android frontend: Kotlin/Jetpack
• iOS frontend: Swift/SwiftUI
• web frontend: TypeScript/React
• database: Postgres/CockroachDB
• infrastructure: GCP/Terraform
• orchestration: Kubernetes

Key Details

• This is a fully remote role. Candidates must be based in one of our talent hub countries (UK, Spain, Kenya and Ghana) or in one of our operating markets in Africa including Senegal, Côte d'Ivoire, or Burkina Faso.
• Wave provides a yearly $1,200 stipend to support coworking meetups with teammates.
• Remote team members are expected to travel to our operational markets (e.g. Senegal or Côte d'Ivoire) at least once a year. Exceptions apply, but we’ve found this key to understanding our users and product.
• Our salaries are competitive and are calculated using a transparent formula. For this role, depending on your level and location, we offer a salary of up to $227,900 USD, plus a generous equity package.
• Major benefits:
  • Subsidized health insurance for you and your dependents and retirement contributions (both vary from country to country).
  • 6 months of fully paid parental leave and subsidized fertility assistance.
  • Flexible vacation, with most folks taking between 21-30 days exclusive of statutory holidays.
  • $10,000 annual charitable donation matching.

Requirements

• Minimum of 5 years of professional experience with a minimum of 2 years of it spent in a security-related role.
• Strong Experience with Python.
• Fluent English.

You might be a good fit if you

• Are excited about finding the right balance between security and velocity. 
• Push through hard problems without giving up.
• Have experience remediating non-conformities.
• Enjoy helping other engineers understand and implement secure patterns.
• Are not afraid to take on complicated systems.
• Are excited to work on lots of different security-related work, from audits to code refactors. 
• Work to make things easier for the next engineer who will touch your code.
• Always try to improve as a programmer and colleague.
• Are interested in security-focused source code review and penetration testing.
• Have an interest in growing and mentoring a team.

About engineering at Wave

We care about the big picture. We don’t hire engineers to just ship tickets. We hire them to solve problems. That means caring deeply about outcomes, understanding context, and jumping in wherever something’s broken, even if it’s technically “not your area.” When we see problems, inefficiencies, or opportunities to make something better, we act. We dig into operational issues, clarify fuzzy product specs, or step into unfamiliar code to help unblock teammates.

We move as fast as possible. Speed matters. It lets us try things quickly, get feedback early, and course-correct while it’s cheap. So we write small PRs. We aim for MVPs. We leave TODOs and file follow-ups. We don’t over-perfect v1. That said, we’re building a financial product. Some things—like money movement, correctness, or security—deserve more caution.

We like boring technology. We favor tools that are reliable, well-understood, and easy to debug. This keeps us focused on solving meaningful problems instead of wrestling with unpredictable infrastructure. If a new technology helps us move faster, build safer, or solve a real need, we’ll consider it. But we don’t adopt tools just because they’re new—we adopt them because they’re right.

Simplicity is a strategy. It lets us focus our energy where it matters most: serving our users.

#LI-DH1 #LI-REMOTE

Role Specificities

We’re looking for an engineer who is independent and excited about getting things done. You'll be responsible for building and improving the enterprise endpoint infrastructure and have ownership of the service and its impact on employee productivity at Wave. You will own the entire endpoint stack and be responsible for administration of all enterprise infrastructure, planning and implementation of systems as we rapidly scale our business.

In this role you’ll:

• Join an autonomous team focused on a single area of Wave’s IT org. You will report directly to the IT Director. Typically, you'll be responsible for endpoint Infrastructure end-to-end, from design through deployment and maintenance.
• You will be joining at a time of transformation, in the IT organisation evolving from a flat team structure to areas of skilled ownership.
• Along with the business growing at a pace, taking ownership of projects and business needs such as:
  • Design, build, implement, and maintain scalable and performant endpoint management infrastructure to facilitate best-in-class security of the Wave fleet comprising macOS,  ChromeOS, Windows, iOS, and Android endpoints.
  • Deliver critical endpoint management efficiencies and capabilities through bespoke software development and implementation of both industry-standard open source tooling and first-party software solutions.
  • Employ modern Infrastructure-as-Code (IaC) methodologies, develop GitOps-driven solutions to deliver consensus-based fleet management capabilities at scale.
  • Build and maintain CI/CD pipelines for fleet management infrastructure, deploying to progressively tested environments across multiple clouds (Azure, GCP) and geographies (Africa and global remote workforce).
  • Drive initiatives to adopt emerging technologies, industry best practices, and optimise processes for scalability and operational efficiency.
  • Partner with cross-functional teams to ensure seamless endpoint user experiences while maintaining strict security standards and continually increasing the bar.

Key Details

• This is a fully remote role. Candidates must be based in one of our talent hub countries (UK, Spain, USA, Canada, Kenya and Ghana) or in one of our operating markets in Africa including Senegal, Côte d'Ivoire, or Burkina Faso. Your working hours must align with GMT +/- 1, with reliable Internet access as long as you have work authorization.
• Every year, you’ll travel to Africa for a one-week immersion trip. (Wave covers all costs.)
• Our salaries are competitive and are calculated using a transparent formula. For this role, depending on your experience level and location, we are offering a salary range of $133,100 to $194,200 USD (paid in your local currency equivalent) plus a generous equity package.
• Major benefits:
  • Subsidized health insurance for you and your dependents and retirement contributions (both vary from country to country)
  • 6 months fully paid parental leave and subsidized fertility assistance
  • Unlimited vacation with a 20-day minimum requirement
  • $10,000 annual charitable donation matching

Requirements

• Minimum 5 years of professional experience as an Endpoint Engineer.
• Experience as a Endpoint Engineer managing multiple, international sites, including single sites of 2,000+ endpoints.
• Good communication skills with stakeholders and expectation management.
• Successful candidates must be willing to travel to our operating countries when required as part of your regular duties. For the first year, up to 50% travel may be required  to review all the current setups.

You might be a good fit if you 

• Proficient in a modern programming (Python) and scripting (Python, Bash, Powershell) languages
• Extensive hands-on experience with Jamf PRO, Google Workspace and Microsoft Intune to ensure comprehensive secure fleet management as well as experience with similar cloud identity providers.
• Demonstrated success and experience with open source endpoint management tooling for configuration management, mobile device management, application management, and telemetry such as Salt, Puppet, Munki, Nano/MicroMDM, osquery, Autopkg, ChromeBrew, WinGet, apt etc.
• History of developing and delivering secure, reliable, scalable, and technology solutions.
• Deep knowledge and experience managing corporate infrastructure at scale with Infrastructure-as-Code (IaC) practices & GitOps workflows (Terraform, Ansible, Chef, etc.)
• Experience integrating and operating fleet management infrastructure with CI/CD pipelines and DevOps workflows.
• Proven track record of deploying and operating fleet management infrastructure in public cloud environments (Azure, GCP).
• Familiarity with compliance frameworks such as SOC 2, ISO 27001 and NIST.
• Strong soft skills, including stakeholder communication and cross-functional collaboration.
• Speak French, or are interested in learning.
• Are excessively detail-oriented and seek to achieve excellence in everything you do.
• Are a self-starter and proactive about achieving ambitious targets.
• Love owning projects - you're autonomous yet know when to escalate problems.
• Willing to go the distance to get something done.
• Are comfortable defaulting to over-communication and overreaching when it comes to coordination.

This is a remote opportunity and we would be interested in applicants living in Ireland time zones only at this time. 

Senior Software Engineer - Grafana Databases, Managed Services

The Opportunity: 

The Managed Services team is a newly formed squad within the Databases department. It owns and operates shared, production-critical infrastructure that powers Grafana Cloud’s next-generation database products (Mimir, Loki, and Tempo). Today, this includes operating 100+ WarpStream clusters across multiple cloud providers and regions, with continued growth anticipated for the future. WarpStream acts as the streaming backbone for ingestion and read/write decoupling across databases. It sits directly on the hot path for metrics, logs, and traces, handling high-throughput, multi-consumer workloads at massive scale.

In addition to streaming infrastructure, the team works closely with high-volume analytical and storage systems that power query-heavy and aggregation-heavy workloads, where latency, compression behavior, storage layout, and scaling characteristics matter deeply.

What You’ll Be Doing:

As a Senior Engineer on Managed Services, you will take ownership of running these systems in production. This involves:

• Operating and evolving 100+ multi-cloud streaming clusters and related database infrastructure
• Diagnosing and eliminating cross-layer failure modes (e.g., object storage latency, noisy neighbors, control-plane bottlenecks, query performance regressions, etc.)
• Designing safe upgrade and rollout strategies at scale
• Improving observability, automation, and operational ergonomics
• Partnering closely with database and platform teams to ensure safe scaling, partitioning, consumer fan-out, and query performance
• Working directly with distributed systems behavior, Kubernetes scheduling dynamics, storage engines, compression trade-offs, etc.
• Serving as a primary escalation point and on-call for relevant incidents
• Owning the relationship with all system vendors, including WarpStream Labs and others.
• As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.

This role blends deep distributed systems work with the opportunity to influence how the team approaches reliability, scaling, and operational excellence.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

Of course, there is an on-call component to this role and one that we take seriously. As a company, we hire globally (remote-first) to ensure our on-call remains healthy and aligned to approximately 12 daylight hours per day. You will work closely with counterparts in other regions to provide balanced coverage and shared ownership.

What Makes You a Great Fit:

• Regular 1:1s with your manager and close collaboration with teammates across regions
• Reviewing and defining SLOs for shared database infrastructure, proactively reducing error budgets through improvements to monitoring, automation, scaling strategies, and system design
• Improving the diagnosability of core streaming and database systems in production, where possible.
• Implementing solutions that ensure reliability, scalability, and performance of high-throughput, multi-cloud infrastructure
• Developing fault-tolerant patterns that account for distributed system realities such as storage latency, partition imbalance, noisy neighbors, and control-plane dependencies
• Planning and executing safe upgrades and rollouts across dozens of production clusters
• Collaborating with database and platform engineering leaders to influence architecture, roadmap priorities, and long-term strategy
• Participating in PR review and contributing to design documents, automation, tooling, and code improvements that reduce operational risk
• Sharing best practices and distributed systems knowledge with partner teams
• Participating in incident response, from investigation through resolution and post-incident reviews (PIR)

Requirements:

• 6+ years of engineering experience, including meaningful time in SRE, platform engineering, production engineering, infrastructure engineering, or distributed systems roles.
• Experience operating distributed systems in production (e.g., streaming systems, analytical databases, large-scale storage backends). Examples of these include Kafka, Redpanda, WarpStream, Postgres, ClickHouse, Snowflake, or Cassandra.
• Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.).
• Solid understanding of distributed systems design and large-scale system trade-offs.
• Proficiency in at least one programming language (Go preferred, but not required).
• Working knowledge of Linux internals, networking, cloud storage, and performance/scaling behavior.
• Experience participating in blameless incident response and writing high-quality post-incident reviews.
• Clear communicator who can collaborate across teams and work autonomously.
• Curious, pragmatic, action-oriented, and kind (this is important!)
  
  

Compensation & Rewards:

In Ireland, the Base compensation range for this role is EUR 104,000 - EUR 124,800. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote opportunity and we would be interested in applicants living in UK time zones only at this time. 

Senior Software Engineer - Grafana Databases, Managed Services

The Opportunity: 

The Managed Services team is a newly formed squad within the Databases department. It owns and operates shared, production-critical infrastructure that powers Grafana Cloud’s next-generation database products (Mimir, Loki, and Tempo). Today, this includes operating 100+ WarpStream clusters across multiple cloud providers and regions, with continued growth anticipated for the future. WarpStream acts as the streaming backbone for ingestion and read/write decoupling across databases. It sits directly on the hot path for metrics, logs, and traces, handling high-throughput, multi-consumer workloads at massive scale.

In addition to streaming infrastructure, the team works closely with high-volume analytical and storage systems that power query-heavy and aggregation-heavy workloads, where latency, compression behavior, storage layout, and scaling characteristics matter deeply.

What You’ll Be Doing:

As a Senior Engineer on Managed Services, you will take ownership of running these systems in production. This involves:

• Operating and evolving 100+ multi-cloud streaming clusters and related database infrastructure
• Diagnosing and eliminating cross-layer failure modes (e.g., object storage latency, noisy neighbors, control-plane bottlenecks, query performance regressions, etc.)
• Designing safe upgrade and rollout strategies at scale
• Improving observability, automation, and operational ergonomics
• Partnering closely with database and platform teams to ensure safe scaling, partitioning, consumer fan-out, and query performance
• Working directly with distributed systems behavior, Kubernetes scheduling dynamics, storage engines, compression trade-offs, etc.
• Serving as a primary escalation point and on-call for relevant incidents
• Owning the relationship with all system vendors, including WarpStream Labs and others.
• As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.

This role blends deep distributed systems work with the opportunity to influence how the team approaches reliability, scaling, and operational excellence.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

Of course, there is an on-call component to this role and one that we take seriously. As a company, we hire globally (remote-first) to ensure our on-call remains healthy and aligned to approximately 12 daylight hours per day. You will work closely with counterparts in other regions to provide balanced coverage and shared ownership.

What Makes You a Great Fit:

• Regular 1:1s with your manager and close collaboration with teammates across regions
• Reviewing and defining SLOs for shared database infrastructure, proactively reducing error budgets through improvements to monitoring, automation, scaling strategies, and system design
• Improving the diagnosability of core streaming and database systems in production, where possible.
• Implementing solutions that ensure reliability, scalability, and performance of high-throughput, multi-cloud infrastructure
• Developing fault-tolerant patterns that account for distributed system realities such as storage latency, partition imbalance, noisy neighbors, and control-plane dependencies
• Planning and executing safe upgrades and rollouts across dozens of production clusters
• Collaborating with database and platform engineering leaders to influence architecture, roadmap priorities, and long-term strategy
• Participating in PR review and contributing to design documents, automation, tooling, and code improvements that reduce operational risk
• Sharing best practices and distributed systems knowledge with partner teams
• Participating in incident response, from investigation through resolution and post-incident reviews (PIR)

Requirements:

• 6+ years of engineering experience, including meaningful time in SRE, platform engineering, production engineering, infrastructure engineering, or distributed systems roles.
• Experience operating distributed systems in production (e.g., streaming systems, analytical databases, large-scale storage backends). Examples of these include Kafka, Redpanda, WarpStream, Postgres, ClickHouse, Snowflake, or Cassandra.
• Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.).
• Solid understanding of distributed systems design and large-scale system trade-offs.
• Proficiency in at least one programming language (Go preferred, but not required).
• Working knowledge of Linux internals, networking, cloud storage, and performance/scaling behavior.
• Experience participating in blameless incident response and writing high-quality post-incident reviews.
• Clear communicator who can collaborate across teams and work autonomously.
• Curious, pragmatic, action-oriented, and kind (this is important!)
  
  

Compensation & Rewards:

In the United Kingdom, the Base compensation range for this role is GBP 91,755 - GBP 110,106. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote opportunity and we would be interested in applicants living in Spain time zones only at this time. 

Senior Software Engineer - Grafana Databases, Managed Services

The Opportunity: 

The Managed Services team is a newly formed squad within the Databases department. It owns and operates shared, production-critical infrastructure that powers Grafana Cloud’s next-generation database products (Mimir, Loki, and Tempo). Today, this includes operating 100+ WarpStream clusters across multiple cloud providers and regions, with continued growth anticipated for the future. WarpStream acts as the streaming backbone for ingestion and read/write decoupling across databases. It sits directly on the hot path for metrics, logs, and traces, handling high-throughput, multi-consumer workloads at massive scale.

In addition to streaming infrastructure, the team works closely with high-volume analytical and storage systems that power query-heavy and aggregation-heavy workloads, where latency, compression behavior, storage layout, and scaling characteristics matter deeply.

What You’ll Be Doing:

As a Senior Engineer on Managed Services, you will take ownership of running these systems in production. This involves:

• Operating and evolving 100+ multi-cloud streaming clusters and related database infrastructure
• Diagnosing and eliminating cross-layer failure modes (e.g., object storage latency, noisy neighbors, control-plane bottlenecks, query performance regressions, etc.)
• Designing safe upgrade and rollout strategies at scale
• Improving observability, automation, and operational ergonomics
• Partnering closely with database and platform teams to ensure safe scaling, partitioning, consumer fan-out, and query performance
• Working directly with distributed systems behavior, Kubernetes scheduling dynamics, storage engines, compression trade-offs, etc.
• Serving as a primary escalation point and on-call for relevant incidents
• Owning the relationship with all system vendors, including WarpStream Labs and others.
• As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.

This role blends deep distributed systems work with the opportunity to influence how the team approaches reliability, scaling, and operational excellence.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

Of course, there is an on-call component to this role and one that we take seriously. As a company, we hire globally (remote-first) to ensure our on-call remains healthy and aligned to approximately 12 daylight hours per day. You will work closely with counterparts in other regions to provide balanced coverage and shared ownership.

What Makes You a Great Fit:

• Regular 1:1s with your manager and close collaboration with teammates across regions
• Reviewing and defining SLOs for shared database infrastructure, proactively reducing error budgets through improvements to monitoring, automation, scaling strategies, and system design
• Improving the diagnosability of core streaming and database systems in production, where possible.
• Implementing solutions that ensure reliability, scalability, and performance of high-throughput, multi-cloud infrastructure
• Developing fault-tolerant patterns that account for distributed system realities such as storage latency, partition imbalance, noisy neighbors, and control-plane dependencies
• Planning and executing safe upgrades and rollouts across dozens of production clusters
• Collaborating with database and platform engineering leaders to influence architecture, roadmap priorities, and long-term strategy
• Participating in PR review and contributing to design documents, automation, tooling, and code improvements that reduce operational risk
• Sharing best practices and distributed systems knowledge with partner teams
• Participating in incident response, from investigation through resolution and post-incident reviews (PIR)

Requirements:

• 6+ years of engineering experience, including meaningful time in SRE, platform engineering, production engineering, infrastructure engineering, or distributed systems roles.
• Experience operating distributed systems in production (e.g., streaming systems, analytical databases, large-scale storage backends). Examples of these include Kafka, Redpanda, WarpStream, Postgres, ClickHouse, Snowflake, or Cassandra.
• Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.).
• Solid understanding of distributed systems design and large-scale system trade-offs.
• Proficiency in at least one programming language (Go preferred, but not required).
• Working knowledge of Linux internals, networking, cloud storage, and performance/scaling behavior.
• Experience participating in blameless incident response and writing high-quality post-incident reviews.
• Clear communicator who can collaborate across teams and work autonomously.
• Curious, pragmatic, action-oriented, and kind (this is important!)
  
  

Compensation & Rewards:

In Spain, the Base compensation range for this role is EUR 82,988 - EUR 99,586. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

As a Senior Windows Identity Detection Engineer you will research and detect emerging identity threats by developing behavior-based detection methods. You’ll build tools and PoCs to identify and prevent attacks such as Pass-the-Hash, Silver Ticket, and MFA bypass. Your work will directly strengthen the security of millions of Windows endpoints protected by the platform. In this role, you’ll have a unique opportunity to expand your skillset beyond just Windows security, and to not only contribute, but to significantly influence the buildout of a new side of our business - Identity security - from the ground up!

What will you do?

Primary responsibilities include: 

• You’ll be responsible for detecting the newest identity threats. Your role won’t end with a hypothesis or a document - you’ll have an end to end responsibility for behaviour based detection capabilities, starting from researching attack techniques, designing new methods to detect or prevent those, and implementing it in the product in the end (SW development in C++23 and scripting in Lua).
• You’ll be developing and using internal research tools, PoCs and discovering new ways to detect/prevent identity-based attacks (Pass the Hash, Silver ticket, MFA bypass and more). 
• At the end of the day, your deliveries will enhance the security of dozens of millions of Windows endpoints which are protected by our platform.

What experience or knowledge should you bring?

Ideal candidates will have: 

• 3+ years of experience in malware analysis (statically and dynamically)
• 3+ years of experience with C++, an advantage would be knowledge of Lua or similar scripting language 
• Excellent understanding of the Windows Internals  - understanding how core system components (Process and Threads, Virtual Memory and more) work behind the scenes.
• Experienced with analysis tools, such as: IDA, WinDBG, SysInternals etc.
• A big plus - experience with Identity-based attacks (Pass the Hash, Silver ticket, MFA bypass and more)
• An advantage would be - kernel development experience and/or understanding of existing AVs internals

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

• Flexible working hours, this is a 100% remote role based within Spain; we provide optional membership in major coworking chains
  • Currently for this role in Spain we are able to consider only candidates that are already eligible to work in the EU at the time of applying
  • Optionally for those willing to relocate to the Czech Republic relocation assistance is available for any candidates that are already eligible to work in the EU at the time of applying
    
• Generous employee stock plan in the form of grant of RSUs (restricted stock units), not options; 4 years vesting with 1 year cliff and then quarterly, stock refresh yearly
• Yearly bonus depending on the performance of the company, paid out in 2 installments
• 30 Days of Paid Annual Leave
• Flexible Paid Sick Days
• Pension insurance contribution
• Premium Life Insurance covered by S1
• Premium Medical & Dental Insurance covered by S1
• Meal, Transport & Homeoffice allowance of total 440 EUR/month
• Global gender-neutral Parental Leave (16 weeks, beyond the leave provided by the local laws) & Grandparent Leave
• Volunteering paid day off & Additional paid Company holidays off (e.g. 4 days in 2022)
• Global Employee Assistance Program (confidential counseling related to both personal and work life matters)
• LinkedIn Learning platform for Hard/Soft skills Training & Support for your further educational activities/trainings
• Above-standard referral bonus

& Additional country-specific benefits to Spain

As a Windows Low Level Engineer - Endpoint security, you will design and develop advanced security features for SentinelOne’s Windows endpoint protection platform, operating across both user-mode and kernel-mode environments. You will build and optimize mission-critical components including anti-tampering protections, network sensors, and agent infrastructure while solving complex performance and stability challenges at massive scale. By researching Windows internals and debugging deep system issues, you will collaborate with distributed engineering teams to deliver high-impact security capabilities protecting millions of devices worldwide.

We are seeking a highly skilled and experienced Software Engineer with a strong background in low-level C++ programming and a deep understanding of Windows OS, to help us in developing our Endpoint Protection product, the core part of our business, and to join one of our Platform group teams. (We're currently growing multiple teams and are open to new colleagues with a wide variety of backgrounds within Windows development!).

The Platform group teams are in charge of some of our most complex low-level areas, such as:

• Windows agent’s Anti-Tampering (self-protection from malware attempting to harm the agent), network sensors, device control, and other kernel-side features involving both research and development,
• usermode security & agent infrastructures - e.g. installers, logging, services such as communication layer & interfaces for our Windows agent, for improving the quality, performance & stability of the agent and making the user experience smoother.

By joining our group, you will collaborate with talented engineers who are leading a feature through the whole development lifecycle. Your work will have an impact on millions of endpoints in one of the mainstream areas of the EPP/EDR agent of SentinelOne - a product recognized 5x-in-a-row as Gartner MQ Leader, scoring highly in many MITRE Att&ck assessments, valued by users in Gartner Peer Insights and more.

What will you do?

• As a new member of one of our distributed development teams, you will work in both user-mode & kernel-mode, and deal with a large variety of fields.
• You will have the chance to design, develop primarily in modern C++ (23), test and debug the most complicated real-world problems (often unseen before). In order to successfully deal with this challenge, you will continuously enrich your knowledge and experience with Windows OS internals & Kernel, Endpoint Protection, and Endpoint Detection & Response eco-system.
• Our teams design and execute significant new features, as well as rewrite and reimplement the existing ones from scratch. You will also deal with extraordinary performance & optimization challenges, given the scale of our cybersecurity SW (handling hundreds of billions of events every day).
• Your work will influence the security of tens of millions of Windows devices, that we protect at enterprise & government customers across the globe (incl. 4 of Fortune 10 and hundreds of Global 2000).
• You’ll also be encouraged to share knowledge within both Platform teams and the broader Windows group.

What skills & knowledge should you bring?

• Multiple years of experience as a software engineer in the area of lowlevel programming using modern C++ (or using C and a willingness to learn modern C++)
• Hands-on experience and in-depth understanding of Windows OS design & internals, Windows low-level development, with debugging of Windows applications and familiarity with related standard debugging and profiling tools
• Previous experience working on a production-grade product with a wide-scale deployment
• Great communication skills and the ability to work both independently and with peers from different time zones, problem-solving and out-of-the-box thinking
• Attention to detail and high coding standards
• An advantage: experience with Windows Kernel and Windows Drivers development, experience in security-oriented development, with reversing or malware analysis

Why us?

Because you will work on real-world problems with risks of millions of dollars (protecting against Ransomware and other threats) and make an impact by preventing our customers from appearing in global news after being attacked. You will be joining a technologically cutting-edge project and will be able to influence the architecture, design, and building of our core platform. You will meet extraordinary challenges and work with the very BEST in the industry.

On top of that we offer you

• Flexible working hours, this is a 100% remote role based within Spain; we provide optional membership in major coworking chains
  • Currently for this role in Spain we are able to consider only candidates that are already eligible to work in the EU at the time of applying
  • Optionally for those willing to relocate to the Czech Republic relocation assistance is available for any candidates that are already eligible to work in the EU at the time of applying
    
• Generous employee stock plan in the form of grant of RSUs (restricted stock units), not options; 4 years vesting with 1 year cliff and then quarterly, stock refresh yearly
• Yearly bonus depending on the performance of the company, paid out in 2 installments
• 30 Days of Paid Annual Leave
• Flexible Paid Sick Days
• Pension insurance contribution
• Premium Life Insurance covered by S1
• Premium Medical & Dental Insurance covered by S1
• Meal, Transport & Homeoffice allowance of total 440 EUR/month
• Global gender-neutral Parental Leave (16 weeks, beyond the leave provided by the local laws) & Grandparent Leave
• Volunteering paid day off & Additional paid Company holidays off (e.g. 4 days in 2022)
• Global Employee Assistance Program (confidential counseling related to both personal and work life matters)
• LinkedIn Learning platform for Hard/Soft skills Training & Support for your further educational activities/trainings
• Above-standard referral bonus

& Additional country-specific benefits to Spain

This is a remote opportunity and we would be interested in applicants based in Spain, Sweden, Germany, the UK or Ireland at this time. 

The Opportunity

The Grafana Frontend group is responsible for the end to end user experience on Grafana the observability product and Grafana the platform used by many engineers to build plugins. Our squads are responsible for dashboards, data visualisation and manipulation, navigation across the ecosystem, sharing experience, content search,organisation and more.

DataPro

The DataPro squad develops tools that empower users to express their data. We serve as the bridge between data producers (Data Sources) and consumers (Data Visualizations), enhancing the capabilities of data sources in line with our "big tent" philosophy.

What we do:

Query experience & Data manipulation: We build and evolve the query experience as well as the engine and components behind the Grafana data transformations experience, which primarily includes Transformations and SQL Expressions.Community Engagement: we listen to the open-source community, we retrieve contributions, and turn feedback into real improvements.

• Operational Excellence: we own the performance, reliability, and maintainability of a system that runs at global scale. We value readability, maintainability and clarity of our code. 

How we work:

• No blame: We focus on learning and improving ourselves and our product.
• Better done than perfect: We iterate quickly and deliver value continuously.
• User-first: We design for real users solving real problems and we make data-driven decisions.

• Mentorship & Innovation: we grow together through knowledge sharing, mentorship, internal hackathons, and constant learning.

What You’ll Be Doing

As a Senior  Software Engineer at Grafana Labs, you will:

• Take an active role in influencing our roadmap and your own career objectives
• Drive projects from initial idea all the way to operations once it is in the hands of customers
• Be a part of your team’s on-call rotations and take ownership of the services you’re running
• Mentor and support other team members, participate in design discussions and collaborate with the team
• Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase
• Contributing to and reviewing design documents for upcoming features

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.

We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.

You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

What Makes a Great Fit

• Strong engineering skills: Solid experience building production software systems. You’re a self-starter, capable of tackling complex engineering problems with minimal supervision. You treat writing tests as a core part of the development process, not an afterthought. You have experience with TypeScript and React, Jest and Playwright.
• Complex operational thinking: Can take on complex challenges and break them down into tight feedback loops: analyze, design, ship an MVP, gather data, then iterate.
• Proven initiative and pragmatism: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and define scope, breaking complex challenges down to achieve short feedback loops. 
• Collaborative attitude: You communicate effectively with peers, product managers, and designers. You’re open to feedback, and you bring a solutions-oriented mindset to the table.
• Enjoy learning, growing, and supporting others to do the same. 
• Appreciate efficiency and strive to identify and utilize the most effective tools for the task at hand. You naturally share your use of these tools with your team to maintain transparency and growth.

Bonus Points For

• Experience with open source software and/or commercial open source companies
• Been a user of Grafana and Prometheus in operational roles
• Familiarity with being on-call and performing operations/SRE tasks
• Have an active interest in observability (Metrics, Logs and Traces) and have experience with tools like Grafana, Prometheus, or other observability platforms.
• Have experience mentoring engineers in a collaborative but asynchronous environment, and see it as a meaningful
• Care about our community of users and contributors and are keen to be an active Grafana Community Contributor.

We understand that you may not have experience on all of the above. Please do apply even if you do not match some of the above criteria.

In Spain, the compensation range for this role is EUR 82,988 - EUR 99,586. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

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)

Scopely is looking for a Senior Security Compliance Engineer to join our Information Security team in Barcelona on a hybrid basis working 2 days a week from the hub.

At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. 

The IT/Ops team keeps everything behind the scenes running smoothly and we make sure all teams are equipped and connected - whether across the office or halfway around the world. AV struggles? Don’t worry, we’ve got this.

What You Will Do 

In this role, you will help design, build, and scale privacy-aware and compliance systems across a global technology organization. You will combine technical execution with a strong understanding of privacy and regulatory requirements to build practical, reliable solutions that support both the business and our players.

You will work closely with cross-functional partners across Security, Legal, Engineering, Product, and Player Experience to embed privacy by design into systems, services, and workflows. This is an exciting opportunity for someone who enjoys solving complex problems, building automation, and turning privacy requirements into scalable engineering solutions.

• Embed privacy by design into product, platform, and operational workflows
• Design, build, and improve privacy engineering capabilities that support data subject rights requests, data lifecycle management, and regulatory compliance
• Translate legal and regulatory requirements into technical requirements, engineering patterns, and actionable implementation guidance
• Build and maintain tools, services, and automations in Python to support privacy and compliance operations
• Support workflow orchestration and automation using Temporal or similar platforms
• Work in AWS and similar environments to operate secure, scalable, and reliable privacy-related systems and integrations
• Write and deploy SQL to archive or purge data, and to locate, review, and document data for privacy requirements
• Partner with engineers and architects to implement data solutions that enable the business while protecting sensitive data
• Conduct privacy assessments, identify risks, and help drive mitigation efforts through tools, training, and guidance
• Review new systems, features, and data flows for privacy impact, and partner with teams to design technical controls that reduce privacy risk
• Partner with product and engineering teams to design privacy-preserving solutions, including controls for data minimization, retention, deletion, and access
• Manage projects and enhancements from requirements gathering through delivery and stakeholder communication
• Improve documentation, reporting, evidence collection, and operational processes that support broader compliance efforts
• Identify opportunities to reduce manual work, improve data quality, and strengthen consistency through automation

What We’re Looking For 

• 5+ years of experience in information security, privacy, compliance, or a related technical role
• Hands-on experience building or maintaining solutions in Python
• Strong background in software engineering, backend systems, security, data engineering, or data architecture
• Experience with AWS and cloud-based architectures
• Experience with Temporal or similar workflow orchestration tools
• Working knowledge of APIs, JSON, SQL, and related technical tooling
• Strong understanding of privacy engineering principles, privacy by design, and technical implementation of data subject rights and data lifecycle controls
• Working knowledge of privacy regulations such as GDPR
• Familiarity with security and compliance frameworks such as ISO 27001, NIST, or COBIT.
• Experience working cross-functionally with Legal, Security, Product, and Engineering teams
• Strong communication skills, including the ability to explain technical concepts to non-technical audiences
• Strong organisational skills and the ability to manage multiple priorities in a fast-paced, global environment
• Excellent analytical, problem-solving, and collaboration skills
• Experience leveraging or building AI-enabled tools to enhance GRC processes, including developing AI assistants or automation workflows to improve regulatory monitoring, documentation, and control oversight
• Ability to navigate ambiguity, balance risk, and quickly learn new technologies
• Experience working with data systems and large datasets, including understanding data flows, retention, deletion, and access patterns

Bonus Points 

• Experience with DSR, DSAR, or privacy operations platforms
• Graduate-level study in privacy engineering
• Experience in gaming, entertainment, or another consumer technology environment
• Experience working with internationally distributed teams
• Certifications such as CIPT, CIPP, CIPM, CISSP, CISA, CRISC, or FAIR

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!

Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

This role will have access to sensitive and/or confidential employee or customer personally identifiable information (PII) and/or Company financial information, and therefore will be subject to background checks upon receiving a conditional offer of employment.    

Auth0 provides an unparalleled authentication experience for hundreds of millions of users worldwide. Our commitment to reliability is a key foundation of our product and our dedication to exceeding customer availability expectations is a core engineering focus. As a Senior Site Reliability Engineer, you'll join our SRE team based in Europe to ensure our production systems are not only operational but also resilient, scalable, and ready for exponential growth. This isn't just about keeping the lights on; it's about directly contributing to the platform's core resiliency and robustness. You'll be a hands-on builder, crafting solutions that make our system more reliable by design.

What you’ll do:

• Design and build custom software in Go to enhance the platform's reliability, resiliency, and redundancy.
• Partner with engineering teams to embed reliability principles, improving the availability, performance, and observability of our services.
• Use your deep understanding of infrastructure and observability principles to identify opportunities for improvement within the product and implement solutions.
• Contribute to our on-call rotation, providing rapid, effective response to critical incidents and using your expertise to troubleshoot, mitigate or accurately escalate production issues.
• Develop and refine our SRE tooling and processes, focusing on automation and operational efficiency.
• Define, document, and champion reliability best practices across the organisation.

What you'll need to be successful:

This role requires a unique blend of a software engineer's mindset and operational expertise. You'll thrive in this role if you have:

• A proactive and systematic approach to problem-solving, with a high degree of ownership.
• Proven experience in a production environment supporting large-scale, mission-critical applications with a high degree of autonomy.
• Proficiency in at least one programming language, with a preference for Go. You should be comfortable writing custom applications, not just scripts.
• Experience with infrastructure as code (Terraform), container orchestration (Kubernetes, Docker) and GitOps (ArgoCD).
• Demonstrable expertise in a major cloud provider (Azure, AWS, or GCP).
• A strong grasp of microservices architecture, databases (SQL, NoSQL), and networking fundamentals, so you can understand how custom code can solve platform-level issues.
• An understanding of core SRE principles, including SLIs, SLOs, and error budgets.
• Experience in an on-call rotation for a 24/7 cloud-based environment.
• Exceptional communication and collaboration skills, with a proven ability to work effectively in a remote, distributed team, where tasks may be self-driven.

We're looking for someone who is not just looking for a job, but a career-defining opportunity to tackle complex challenges at a massive scale. If you're a curious and motivated engineer who's passionate about building reliability directly into the platform, we'd love to hear from you.

#LI-Remote

P17684_3303790

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

Auth0 provides an unparalleled authentication experience for hundreds of millions of users worldwide. Our commitment to reliability is a key foundation of our product and our dedication to exceeding customer availability expectations is a core engineering focus. As a mid-level Site Reliability Engineer, you'll join our SRE team based in Europe to ensure our production systems are not only operational but also resilient, scalable, and ready for exponential growth. This isn't just about keeping the lights on; it's about directly contributing to the platform's core resiliency and robustness. You'll be a hands-on builder, crafting solutions that make our system more reliable by design.

What you’ll do:

• Design and build custom software in Go to enhance the platform's reliability, resiliency, and redundancy.
• Partner with engineering teams to embed reliability principles, improving the availability, performance, and observability of our services.
• Use your deep understanding of infrastructure and observability principles to identify opportunities for improvement within the product and implement solutions.
• Contribute to our on-call rotation, providing rapid, effective response to critical incidents and using your expertise to troubleshoot, mitigate or accurately escalate production issues.
• Develop and refine our SRE tooling and processes, focusing on automation and operational efficiency.
• Define, document, and champion reliability best practices across the organisation.

What you'll need to be successful:

This role requires a unique blend of a software engineer's mindset and operational expertise. You'll thrive in this role if you have:

• A proactive and systematic approach to problem-solving, with a high degree of ownership.
• Proven experience in a production environment supporting large-scale, mission-critical applications with a high degree of autonomy.
• Proficiency in at least one programming language, with a strong preference for Go. You should be comfortable writing custom applications, not just scripts.
• Experience with infrastructure as code (Terraform), container orchestration (Kubernetes, Docker) and GitOps (ArgoCD).
• Demonstrable expertise in a major cloud provider (Azure, AWS, or GCP).
• A strong grasp of microservices architecture, databases (SQL, NoSQL), and networking fundamentals, so you can understand how custom code can solve platform-level issues.
• An understanding of core SRE principles, including SLIs, SLOs, and error budgets.
• Experience in an on-call rotation for a 24/7 cloud-based environment.
• Exceptional communication and collaboration skills, with a proven ability to work effectively in a remote, distributed team, where tasks may be self-driven.

We're looking for someone who is not just looking for a job, but a career-defining opportunity to tackle complex challenges at a massive scale. If you're a curious and motivated engineer who's passionate about building reliability directly into the platform, we'd love to hear from you.

#LI-Remote

P14337_3272114

Your Mission

As a Senior Frontend Engineer working on Bitpanda’s flagship B2C platform, you'll drive the evolution of one of Europe’s leading investing and trading experiences. You’ll architect and deliver highly-performant, secure, and scalable web surfaces that support everything from everyday investing to advanced crypto and trading features. Your decisions will shape how millions of users interact with digital assets; helping make complex financial products feel simple, fast, and trustworthy.

What you’ll do

• Own the design, development and optimisation of high-impact web applications built with React, and TypeScript.
• Architect robust frontend systems, component libraries, and shared patterns that scale across multiple product teams.
• Collaborate deeply with product, design, and backend engineering to define technical direction and ensure seamless end-to-end execution.
• Own performance, reliability, security and test quality across complex user flows. From trading execution to portfolio management.
  
  

Who you are

• 6+ years of professional web engineering experience, with expert-level knowledge of React, TypeScript, and modern web architecture. Bonus points for some hands on React.
• Strong experience architecting large-scale frontend systems, including SSR/ISR, caching strategies, advanced state management, and performance tuning.
• Able to translate ambiguous product and UX requirements into clear technical plans and scalable solutions.
• Comfortable navigating cross-team collaboration, influencing stakeholders, and driving alignment on technical decisions.
• Hands-on experience with modern frontend testing frameworks (e.g., Jest, React Testing Library), with a clear understanding of how to build reliable, scalable test suites.

Your Mission

As a Senior Frontend Engineer on Bitpanda’s flagship B2C platform, you’ll shape one of Europe’s fastest-growing investing and trading experiences. You’ll craft highly-performant, secure, and scalable web surfaces that bring everything from everyday investing to advanced crypto trading to life. Your work will touch millions of users, turning complex financial products into experiences that feel simple, fast, and trustworthy, while giving you the opportunity to leave a mark on the future of finance.

• Own the stability and maintenance of our existing, high-impact web applications using primarily Angular and TypeScript.
• Dive deep into an established codebase to troubleshoot complex bugs, resolve vulnerability issues, and apply pragmatic solutions.
• Support gradual internal codebase migrations while keeping core business operations running smoothly.
• Collaborate closely with product, design, and backend engineers to ensure top-notch reliability, security, and performance across critical existing user flows.

• 6+ years of professional web engineering experience, with deep, hands-on expertise in Angular and TypeScript.
• A pragmatic "firefighter" and problem solver: You are highly comfortable working with, debugging, and stabilizing legacy or complex existing codebases rather than strictly building new architecture from scratch.
• Able to turn ambiguous product and UX requirements into clear, scalable technical solutions.
• Comfortable using modern developer tools, including AI-assisted workflows, to quickly understand, document, and safely update existing systems.
• Hands-on with frontend testing frameworks in an Angular ecosystem, with a strong understanding of maintaining reliable test suites to prevent regressions.

Your mission

Join Bitpanda as a Senior DevOps Engineer and take a leading role in shaping the next generation of our high-performance, cloud-native infrastructure that powers the future of digital finance. As a senior member of the team, you will drive architectural decisions, mentor and guide junior engineers, and ensure our platforms remain secure, scalable, and resilient. You’ll work with a motivated group of highly skilled engineers, contributing your experience while continuing to grow in a cutting-edge, fast-moving environment.

What You’ll Do

• Design, develop, and evolve our AWS-based infrastructure using best-in-class tooling, including Terraform/CloudFormation and ArgoCD, leading the operation and optimisation of our container orchestration platforms, with a focus on multi-cluster networking and service-to-service communication.
• Take ownership of our cross-cluster Istio service mesh—implementing policies, improving traffic management, and enhancing mesh-level networking performance and security
• Monitor, optimise, and automate systems to ensure high availability, strong security posture, and superior performance using Datadog, Opsgenie, and AI-powered tooling
• Build scalable, robust solutions for complex technical challenges, ensuring infrastructure design aligns with best practices and long-term platform goals.
• Mentor junior and mid-level engineers, promote engineering excellence, and contribute to team knowledge sharing and process improvements.

Who You Are

• 5+ years of hands-on experience building and managing AWS infrastructure (EC2, VPC, IAM, RDS, KMS, and related services).
• Strong expertise in Docker, Kubernetes, and Infrastructure as Code (Terraform/CloudFormation).
• Advanced understanding of cloud networking, including routing, load balancing, VPC design, hybrid connectivity, and service-mesh-based networking - familiarity with multi-cluster service mesh (Istio) and related capabilities is preferred
• Proficiency in CI/CD systems, with deep experience in GitLab CI/CD and working knowledge of ArgoCD.
• Proven experience deploying, maintaining, and scaling critical cloud infrastructure components in production environments.

** We offer a comprehensive relocation package to support candidates who are moving to join our team. Our goal is to make your transition as smooth as possible, and we provide assistance throughout the whole process.

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

What is The Role

elastic.co is how Elastic talks to the world — it's where potential customers first encounter our products and where existing ones come to learn more. As a Software Engineer II on the Web Engineering team you'll own meaningful parts of that experience: building the features, systems, and infrastructure that keep the site fast, reliable, and effective at scale. The ideal candidate should have experience with front-end technologies plus an interest in CI/CD.

You'll work closely with stakeholders across the company to ship features that improve the site's quality and performance in a distributed, async-first environment.

What You Will Be Doing

• Develop and maintain the front-end stack from component design to deployment pipeline, and ship production code end-to-end.
• Instrument client-side performance (Core Web Vitals, error tracking, real-user monitoring) alongside backend logging, metrics, tracing, alerting, and dashboards.
• Partner with product managers, designers, and other developers to build, test, and release features for elastic.co.
• Write clean, maintainable, and well-documented code.
• Participate in code reviews for your team.
• Diagnose and resolve production issues spanning client regressions to backend failures, and participate in an on-call rotation for an always-on service.

What You Bring

• 3+ years working in a frontend-focused role with proven TypeScript and React depth across component architecture, performance, and state management.
• Working proficiency in at least one of Node.js, Python, or Go.
• Experience owning CI/CD pipelines (GitHub Actions, Jenkins, or equivalent) end-to-end, including front-end build tooling, bundle optimization, and deployment automation without a dedicated ops team.
• A track record of building for high availability, security, and scalability at real production scale.
• Ability to work autonomously in a globally distributed team.

Title: Test Automation Engineer

Location: Spain, Barcelona (Hybrid work model)

Job Function:  Engineering 

Employment Type: Full-Time

Industry: Computer Network & Security

About the position

The Test Automation Engineer develops and executes test automation code to improve the efficiency and fidelity of testing. This role involves collaborating with QA Analysts, QA Leads, and software engineers to ensure that automated testing is integrated into the development pipeline. 

RESPONSIBILITIES

• Develop and execute automated test scripts to improve the efficiency and fidelity of testing. 
• Collaborate with QA and software engineers to integrate automated testing into the development process. 
• Troubleshoot and resolve issues with test automation code and frameworks.  
• Participate in the design and implementation of automation frameworks and tools.
• Monitor and report on the performance of automated tests.
• Contribute to the continuous improvement of automation processes and tools. 
• Identify testability constraints in production software and take the initiative to drive improvements.

SKILLS AND QUALIFICATIONS

• Bachelor’s degree in Computer Science, Engineering, or a related field or equivalent experience. 
• Strong experience in test automation or software development with a focus on testing.  
• Expert analytical and technical skills, excellent communication, and project management skills.
• Understanding of programming languages, experience with automation frameworks.
• Ability to lead technical projects, innovate within the role, and provide training to peers.
• Ability to collaborate with QA and development teams, continuously improve automation skills, and optimize test coverage.
• Understanding of CI/CD integration, test automation frameworks, and defect tracking systems.  #LI-NA1

This is a remote position. We are looking for candidates in the UK, Germany, Spain, Sweden and Ireland only. 

The Opportunity:

As our Cloud / Grafana-as-a-service business continues to grow, we've started to change Grafana's core architecture to be fully multi-tenant and scalable, as well as a solid platform for our opinionated Cloud apps. 

We're looking for someone with a lot of experience with SaaS platforms at scale. We are turning Grafana into a proper observability app platform where OSS and proprietary apps can directly tap into dashboards, alerts, incidents, and telemetry and deliver even more integrated experiences. 

To get there, we need to refactor a big part of Grafana so that it’s simpler and standardized. Grafana is used by countless OSS and Cloud users across different platforms, so planning and rolling out changes safely to avoid service disruptions is crucial; we are looking for someone who is excited about this sort of work.

What You’ll Be Doing: 

• Coding new features, enhancing the operational experience of the systems you develop, and iteratively improving them based on production insights
• Authoring, contributing to and reviewing design documents
• Taking an active role in shaping the roadmap
• Mentoring and supporting other team members and collaborating with different teams across the organization
• Owning the experience of our customers by participating in weekday 12h x 5d and a separate weekend 24h x 2d on-call rotations.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.

We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.

You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.7, Gemini 3 Pro).

What Makes You a Great Fit:

• You have strong coding skills and operational experience; you were responsible for operating the software you have built. 
• You have worked on a SaaS platform and dealt with common distributed systems problems (e.g. scalability, multi-tenancy, data isolation, HA, …)
• You have excellent communication skills. You can express your ideas with great clarity in writing and during meetings. You know when to pick which mode of communication.
• You are willing to work across teams. Your work has to be aligned with the needs of other squads and external stakeholders. You make your plans transparent, bring stakeholders on board, and are open to feedback and suggestions.
• You are pragmatic; you prioritize progress over perfection; you can handle ambiguity.
• We are using Golang on the backend; you are either already familiar with Golang or are excited to learn the language

In UK, the compensation range for this role is £103,958 - £124,750. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote position. We are looking for candidates in the UK, Germany, Spain, Sweden and Ireland only. 

The Opportunity:

As our Cloud / Grafana-as-a-service business continues to grow, we've started to change Grafana's core architecture to be fully multi-tenant and scalable, as well as a solid platform for our opinionated Cloud apps. 

We're looking for someone with a lot of experience with SaaS platforms at scale. We are turning Grafana into a proper observability app platform where OSS and proprietary apps can directly tap into dashboards, alerts, incidents, and telemetry and deliver even more integrated experiences. 

To get there, we need to refactor a big part of Grafana so that it’s simpler and standardized. Grafana is used by countless OSS and Cloud users across different platforms, so planning and rolling out changes safely to avoid service disruptions is crucial; we are looking for someone who is excited about this sort of work.

What You’ll Be Doing: 

• Coding new features, enhancing the operational experience of the systems you develop, and iteratively improving them based on production insights
• Authoring, contributing to and reviewing design documents
• Taking an active role in shaping the roadmap
• Mentoring and supporting other team members and collaborating with different teams across the organization
• Owning the experience of our customers by participating in weekday 12h x 5d and a separate weekend 24h x 2d on-call rotations.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.

We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.

You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.7, Gemini 3 Pro).

What Makes You a Great Fit:

• You have strong coding skills and operational experience; you were responsible for operating the software you have built. 
• You have worked on a SaaS platform and dealt with common distributed systems problems (e.g. scalability, multi-tenancy, data isolation, HA, …)
• You have excellent communication skills. You can express your ideas with great clarity in writing and during meetings. You know when to pick which mode of communication.
• You are willing to work across teams. Your work has to be aligned with the needs of other squads and external stakeholders. You make your plans transparent, bring stakeholders on board, and are open to feedback and suggestions.
• You are pragmatic; you prioritize progress over perfection; you can handle ambiguity.
• We are using Golang on the backend; you are either already familiar with Golang or are excited to learn the language

In Spain, the compensation range for this role is €94,025 - €112,830. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote position. We are looking for candidates in the UK, Germany, Spain, Sweden and Ireland only. 

The Opportunity:

As our Cloud / Grafana-as-a-service business continues to grow, we've started to change Grafana's core architecture to be fully multi-tenant and scalable, as well as a solid platform for our opinionated Cloud apps. 

We're looking for someone with a lot of experience with SaaS platforms at scale. We are turning Grafana into a proper observability app platform where OSS and proprietary apps can directly tap into dashboards, alerts, incidents, and telemetry and deliver even more integrated experiences. 

To get there, we need to refactor a big part of Grafana so that it’s simpler and standardized. Grafana is used by countless OSS and Cloud users across different platforms, so planning and rolling out changes safely to avoid service disruptions is crucial; we are looking for someone who is excited about this sort of work.

What You’ll Be Doing: 

• Coding new features, enhancing the operational experience of the systems you develop, and iteratively improving them based on production insights
• Authoring, contributing to and reviewing design documents
• Taking an active role in shaping the roadmap
• Mentoring and supporting other team members and collaborating with different teams across the organization
• Owning the experience of our customers by participating in weekday 12h x 5d and a separate weekend 24h x 2d on-call rotations.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.

We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.

You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.7, Gemini 3 Pro).

What Makes You a Great Fit:

• You have strong coding skills and operational experience; you were responsible for operating the software you have built. 
• You have worked on a SaaS platform and dealt with common distributed systems problems (e.g. scalability, multi-tenancy, data isolation, HA, …)
• You have excellent communication skills. You can express your ideas with great clarity in writing and during meetings. You know when to pick which mode of communication.
• You are willing to work across teams. Your work has to be aligned with the needs of other squads and external stakeholders. You make your plans transparent, bring stakeholders on board, and are open to feedback and suggestions.
• You are pragmatic; you prioritize progress over perfection; you can handle ambiguity.
• We are using Golang on the backend; you are either already familiar with Golang or are excited to learn the language

In Germany, the compensation range for this role is €109,709 - €131, 651. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

We are looking for a Sales Engineer to build, implement and manage top standard SE strategy in an outstanding hyper-growth environment. In this role you’ll help our sales team to evangelize the power of Torq by assessing and understanding the technical business needs of our customers and prospects to help them achieve maximum value from our solution. This is a remote position based in Spain. 

What you’ll do:

• Provide outstanding and effective pre-sales technical expertise and sales engineering processes. 
• Lead the Sales Engineering team in following sales methodology and best practices, as well as ensuring proper use of CRM system
• Partner with sales leadership and product groups to drive operational excellence and efficiency and meet quarterly and annual sales targets
• Ensure accuracy and accountability with internal systems and tools
• Provide technical guidance and support to the sales team, ensuring that they have the knowledge and tools needed to be successful
• Deliver compelling presentations to customers and prospects to ensure they understand the value of our solution
• Promote products and business solutions at conferences, forums, and seminars.
• Participate in regional industry events/organizations as a thought leader.
• Collaborate with a variety of internal functional areas to ensure solutions are implemented and supported in-line with client expectations.
• Provide input on product development or enhancements to existing products to product management function.

Requirements:

• At least 5+ years of experience in pre-sales engineering/solutions engineering working with a SaaS Cloud Security product - Security knowledge (is a must). 
• Fluency in English and French (is a must); fluency in Spanish (is a big advantage).
• Deep understanding of pre-sales engineering and sales stage processes
• Public Cloud (AWS/GCP/Azure hands-on) working knowledge/experience 
• Prior Hands on experience with scripting/programming languages with one or more languages such as Python , Powershell , bash , etc and APIs 
• Strong communication skills across internal and external stakeholders, including outstanding presentation skills for both technical and executive audiences
• Proven self-starter with a motivated attitude to be able to manage multiple tasks, projects, and responsibilities simultaneously
• Ability to work under pressure and meet deadlines, while maintaining a pleasant and professional attitude towards customers and co-workers
• Excellent knowledge and prior experience selling one or more cybersecurity solutions , including : SIEM , SOAR , EDR , Cloud Security , Email Security , etc
• Demonstrated success working with Fortune 1000 companies.
• Strong customer relationship and people skills as well as strong written communications and presentation skills.
• Ability to influence technical decision makers and executives.
• Ability to travel frequently.

Please apply if your experience is close but doesn’t fulfill all requirements. Torq is building an outstanding company. We are focused on hiring great people with different backgrounds, perspectives, and experiences to achieve our goals. As an equal opportunity employer, we are committed to a team defined and empowered by diversity. We consider qualified applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status.

By submitting your application, you acknowledge that Torq will process your personal data in accordance with Torq’s Privacy Policy.

Opportunity for Impact

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

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

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

Role and Responsibilities

Security Engineering

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

Security Strategy & Enablement

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

Professional Qualifications

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

Technical Qualifications

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

Personal Characteristics

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

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.

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.
• 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-Remote

Datadog is committed to open source. It starts with our Agent, tracers, libraries, and SDKs all being open source. But it goes so much further. From open standards to open collaboration, it’s a core part of who we are and what we do. As part of the Open Source Program Office (OSPO), you will be focusing on building tools, documentation, policies, etc. that improve how our engineers interact with Open Source projects (our own and third-party projects), as well as representing Datadog in Open Source communities. 

What You’ll Do: 

• Build and maintain tools that ease building and releasing Open Source software at Datadog
• Build and maintain tools that ease ingesting Open Source software at Datadog
• Create developer facing documentation and training materials around contributing to open source and maintaining open source projects
• Interface with open source communities to understand problems and trends in the market
• Create tools to automatically analyze and report on Open Source repositories trends and statistics
• Interface with Datadog Open Source Partners candidates and recipients to select new projects for the program and ensure that the program stays useful
• Research and write content for the Datadog Open Source Hub
• Contribute to the product through feedback (bugs or product enhancements suggestions), documentation, or code

Who You Are: 

• Approximately 3+ years of experience as a software developer, SRE, or other practitioner.
• You are fluent in reading and writing one or more languages, e.g. Python, JavaScript, Java, Go, C#, Rust, and so on.
• You love building tools that make other engineers more productive.
• You have empathy, collaboration, and communication skills to cultivate strong relationships across various teams in the organization.
• Bonus: You are (or have been) an active member of an open source community.
• Bonus: You are familiar with different Open Source licenses and Contributor License Agreements 

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-Remote

Meet Urban Sports Club

We are among the leading platforms for sports and wellness in Europe, dedicated to inspiring people to live active, healthy lives. With just one membership we offer access to thousands of fitness and wellness experiences across the continent.

But what truly sets us apart? We believe our people are at the heart of everything we do. If you’re curious about how we work, what we value and how you might grow with us, explore our Culture Hub & Career Opportunities.

*Big news: Wellhub and Urban Sports Club unite!*
Urban Sports Club is now a proud part of Wellhub, creating a global wellbeing ecosystem. Together, we connect 39,000 corporate clients and 97,000 wellness partners across 18 countries, offering millions of people even more ways to stay active and take care of their health.

The opportunity 

Urban Sports Club is building a security function that moves with heart and mind. As a Security Engineer you will work across the full security landscape – from application security to cloud runtime to development pipelines and of course AI – bringing genuine breadth alongside real depth in your domain specialisations. 

You will work side-by-side with IT analysts, developers, product managers, and leadership alike to embed security into how we build and operate. You will report to the Director of Cyber Security, with the empowerment and autonomy to shape how security is done across the company.

This role suits those with a builder’s mindset who gets restless without a hard problem to solve, who is excited about the intersection of AI and security, and who communicates as comfortably in a board update as in a pull request review.

What you will do

• You partner with engineering, product, and infrastructure teams to identify and mitigate security risks across our cloud, application, and AI/ML environments
• You lead security initiatives in your specialist area – whether that is AI/ML Security, DevSecOps, Application/Product Security, or Cloud Security – while staying curious and contributing across different domains
• You design, build, and operate security controls, automation, and tooling that scale with a fast-growing platform
• You drive threat modelling, secure design reviews, and risk assessments for new features, services, and infrastructure changes
• You detect, respond to, and investigate security incidents; own root cause analysis and drive post-incident improvements
• You translate complex security topics into clear, actionable language for technical and non-technical audiences, including C-level leadership
• You track the evolving threat landscape, with particular attention to AI/ML attack surfaces and AI-assisted security tooling, bringing those insights back into the business

What you will need to succeed

• You bring 5+ years of hands-on security engineering (or equivalent) in fast-paced, high-growth environments
• You have a deep expertise in at least one domain: AI/ML Security, DevSecOps, Application/Product Security, or Cloud Security
• You bring a strong builder mindset: able to script, automate, write detections, and review architectures/designs
• You understand modern threats (e.g., AI/ML risks, software supply chain, API and cloud security)
• You are are an excellent communicator across technical and executive audiences (e.g., engineers to CISO level)
• You are able to work autonomously, set direction, and thrive in ambiguous, collaborative environments
• Nice to have: Experience with platform/marketplace products, Kubernetes security in AWS/GCP, EU regulations (GDPR, NIS2, DORA), and scripting (Python, Go)

What’s in it for you 

• Free Urban Sports Club L Pro Membership + Friends and Family Discount: Stay active with free membership, plus discounts for friends and family.
• Flexible Work Model: Enjoy a hybrid work setup, balancing on-site and remote work options to fit your lifestyle.
• Extended Remote Work Options: Work up to 120 days remotely within the EU, the UK, and Switzerland, including 30 days outside the EU. You’ll also have the option to desk-swap at our other European offices.
• WorkOUT Life Balance: Take advantage of 30 days of paid vacation annually, plus two additional days for volunteering, flexible working hours, and complimentary access to our mental health provider Open Up.
• Personal Development: Receive an annual budget of €1,000 for professional growth, with regular internal training sessions and weekly German and English language classes.
• Engaging Team Culture: Participate in regular team and company events along with wellness initiatives that help you stay productive, healthy, and engaged in a hybrid work environment.

Urban Sports Club is committed to providing a friendly, safe, and welcoming environment for everyone who applies for a position or already works with us, regardless of their sports preferences, gender, gender identity and expression, sexual orientation, disability, physical appearance, body size, race, age, or religion (or lack thereof).

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)

What is The Role

We are looking for a Senior Software Engineer to join our Docs Engineering Team. In this role, you will bring your technical expertise to our distributed team in order to build, maintain, and support our documentation platform, tooling and pipelines. You will also work alongside a variety of stakeholders to understand business needs, plan and design solutions, and rollout and promote systems and processes.

Versatility and an interest in working across a range of projects and programming languages, is essential. We are looking for a formidable systems thinker, a polyglot engineer who views programming languages as tools rather than identities. Someone who knows how to build software using the right methods, both established and new. and who has a drive to improve efficiency and automation through intelligent and informed choices.

The Docs Engineering Team is responsible for making available documentation to both internal and external users across the entire Elastic ecosystem. We do this by providing utilities, platforms and processes by which documentation can be authored, organized and delivered in both traditional and emerging ways. So as part of our Docs Engineering Team, you won't just be maintaining a platform, you'll be building the sophisticated tooling and pipelines that deliver documentation to the world.

You will have the autonomy to help lead the effort in redefining how technical documentation is authored and delivered. If you are a self-motivated engineer who enjoys solving high-level architectural puzzles and isn't afraid to get their hands dirty across different stacks, we want to talk to you.

Prior experience with the Elastic product suite is not essential, but is beneficial.

What You Will Be Doing

• You'll be developing, maintaining, and supporting software that bridges the gap between content creation and high-scale delivery.
• You'll work in a multi-language environment across a range of technologies. 
• You'll leverage AI-assisted coding and emerging tools to radically improve engineering efficiency and automation.
• You'll work alongside with the Product Team and other stakeholders to translate business needs into elegant, scalable deployment patterns and processes.
• You'll maintain a relentless focus on usability, ensuring our documentation platforms provide a world-class experience for developers.

What You Bring

• You have proven experience in building, releasing, supporting and maintaining software products for a broad user base.
• You have a minimum 8 years of recent software engineering experience, with proficiency in a variety of programming languages.
• You are comfortable with AI-assisted coding and have a drive to integrate these tools into the modern development lifecycle.
• You can demonstrate a deep understanding of industry best practices, complex architectures, and the nuances of distributed systems.
• You have a strong focus on usability and developer experience.
• You have a genuine interest in technology.
• You have excellent communication, collaboration, and interpersonal skills.
• You can think clearly, work independently, and collaborate effectively across a remote, global team.
• Ideally, you also have prior experience of Elastic products (though this is not essential).

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.

Scopely is looking for a Principal Security Engineer to join our Information Security team in Spain/Portugal on a hybrid basis.

Our security team is dedicated to ensuring the security of our top games. This involves collaborating closely with game studios to develop and implement comprehensive security strategies throughout the game design and development lifecycle.

In addition, this role will drive the application of AI to transform how security is delivered across Product Security, Security Operations, and Security Engineering, improving efficiency, scalability, and impact.

What You Will Do

Game & Product Security Leadership

• Partner with game studios to develop comprehensive security strategies for game design and development
• Conduct threat modeling, vulnerability assessments, and security audits across all phases of game development
• Design and implement security controls and countermeasures to mitigate risks and ensure compliance with company policies, standards, and industry norms
• Collaborate with game teams to advocate for secure coding practices and integrate security at every level of the software development lifecycle
• Coordinate and participate in penetration tests and game feature security assessments
• Provide expert-level technical guidance to game teams to assist in securing games and backend infrastructure
• Translate business priorities, technical constraints, and threat intelligence into actionable security roadmaps

AI-Driven Security Transformation & Automation

• Identify and implement opportunities to apply AI to:
• Vulnerability triage, prioritization, and remediation
• Security operations workflows (alert analysis, investigation, response)
• Product security processes (code analysis, findings analysis, pentesting support)
• Build AI-driven workflows, tools, and agents to reduce manual effort and improve speed and accuracy
• Use AI to improve vulnerability management through triage support, risk classification, remediation guidance, and findings analysis
• Partner with Security Operations to improve detection, triage,investigation and response through automation and AI-assisted analysis
• Integrate AI capabilities into existing security platforms (e.g., Wiz, SIEM, Jira, IAM systems)
• Develop reusable AI-enabled components that scale across teams and studios
• Establish practical guardrails for the safe and effective use of AI in security, including data handling, quality control, and human review
• Define success metrics for AI-enabled workflows, including productivity gains, response times, remediation throughput, and signal quality

Security Engineering & Platform Enablement

• Design and implement scalable security solutions across cloud and backend systems
• Work closely with information security domain owners to ensure games adhere to all relevant security policies, standards, and regulatory requirements
• Develop and maintain comprehensive documentation on security architectures, processes, and decisions for technical and non-technical stakeholders
• Improve security engineering efficiency through automation and tooling
• Stay updated with the latest security technologies, trends, threats, and AI capabilities, continuously improving security practices

Stakeholder Engagement & Leadership

• Frequently interact with game studio leaders to understand their roadmaps, risk posture, and how information security can enable them to execute their vision securely
• Develop security-related roadmaps in partnership with game teams
• Regularly report to Information Security and Studio management on the threat landscape and security posture of games
• Act as a thought leader using both qualitative and quantitative risk assessment frameworks
• Lead and/or assist in security incidents and investigations

What We're Looking For

• 8+ years of experience in Product Security, software development, or cybersecurity
• Proven track record in securing large-scale software applications and systems
• Strong experience building automation and security tooling
• Hands-on experience applying AI/LLMs to operational workflows, including designing, evaluating, and safely deploying AI-assisted systems is highly desirable
• Ability to effectively communicate business risk and technical information clearly to both technical and non-technical audiences

Technical Expertise

• Expertise in modern programming languages such as Python and C#
• Strong understanding of:
• Application and product security
• Vulnerability management and pentesting methodologies
• API and backend security
• Experience with mobile application penetration testing, including traffic interception, runtime analysis and API security.
• Experience with modern development ecosystems, CI/CD pipelines, APIs, and developer platforms.
• Strong, hands-on experience with cloud computing environments including:
• AWS shared responsibility model
• IAM and access control
• Network security in the cloud
• Strong understanding of securing cloud workloads including configuration, deployment, and auditing
• Deep knowledge of Linux security practices

Additional Strengths

• Demonstrated ability to think like both an attacker and defender
• Experience architecting for and managing high-scale, high-velocity workloads in AWS preferred
• Familiarity with security frameworks (e.g., OWASP, NIST Cybersecurity Framework) and compliance regulations (e.g., GDPR, CCPA, ISO 27001)
• Excellent analytical, problem-solving, and decision-making skills
• Exceptional communication and leadership skills, with the ability to influence across teams

Bonus Points

• Experience applying AI to security, automation, or developer workflows
• Previous experience at a game company
• Familiarity with:
• RAG architectures
• Vector databases (e.g., pgvector)
• AI-assisted code analysis or pentesting

Please ensure that the résumé/CV you attach is written in English.

Dataiku is looking for a Data Engineer to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA team, you will play a central role in delivering data to fuel analytics and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the data platform that fuels centralized analytics, embedded analytics teams, Generative AI engineering, and self-service users across the organization.

This role is about 50% Data Operations, Support & Troubleshooting, and 50% new development. The data engineering day-to-day will primarily be within the data platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.

Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.

This is an internal and non-client facing role.

What you’ll do: 

Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform.  That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts & Data Consumers! Your responsibilities within the team include but are not limited to:

• Develop engineering expertise within the Dataiku Platform to help maintain and develop system integrations, platform automations, and platform configurations.

• Develop engineering expertise  within Snowflake for data engineering and security/governance features

• Build & maintain python & SQL data replication & data pipelines on large & often complex data sets 

• Build & maintain data quality metrics & observability to help drive data quality standards

• Learn about existing systems and  processes across Data Platforms, Data Engineering and Data Governance

• Troubleshoot data pipelines, platform automations, data access system.

• Help field and troubleshoot various community questions and challenges

• Own, maintain and enhance data operation processes, monitoring & data quality systems

• Design data models for both short term and long term use cases to support data warehouse scalability

• Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency

• Identify opportunities for improvements & optimization for greater scalability & delivery velocity

• Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables

• Perform root cause analysis on often complex errors to help ensure data pipeline availability

• Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration

• Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering

• Proactively drive innovation internally with bringing ideas for platform and process improvements 

• Help contribute to the ongoing documentation of internal systems and processes

Requirements: 

• 2+ years of relevant experience in Data Engineering / Data Platform Engineering

• Strong technical skills in SQL & Python are a must. Experience in Dataiku DSS is a big plus. 

• Prior experience with Snowflake a plus

• Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins

• Experience in building data models

• Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment

• Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas, and challenge the norm.

• Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies

• Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements

• Ability to manage multiple projects and time constraints simultaneously in a high-trust remote environment

• Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same

• Excellent written and verbal communication skills (especially with senior-level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform. Ability to create clear and concise documentations with a high degree of precision

Dataiku is looking for a Data Engineer II to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA Team, you will play a central role in delivering data to fuel analytics, AI, and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the Data Platform that fuels centralized analytics, Generative AI engineering, embedded analytics teams, and self-service users across the organization.

You will become a technical expert on the various platforms we work in and help drive engineering excellence both within the EDA team and across the wider Analytics Community. The Data Engineering day to day will primarily be within the Data Platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.

Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. Strong software development lifecycle knowledge and DataOps skills are a must. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.

This is an internal and non-client-facing role.

What you’ll do: 

Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform.  That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts! Your responsibilities within the team include but are not limited to:

• Be an expert level engineer within the Dataiku Platform including Platform Automation, GenAI Capabilities, Plugin Development, maintenance & troubleshooting

• Be an expert  level engineer within Snowflake for data engineering and security/governance features

• Build & maintain python & SQL based platform automation process

• Build & maintain data quality metrics & observability to help drive data quality standards

• Design data models for both short term and long term use cases to support data warehouse scalability

• Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency

• Build & maintain GenAI Platform platform solutions focused on security and governance for engineering delivery

• Build & maintain DataOps process for SDLC delivery

• Identify opportunities for improvements & optimization for greater scalability & delivery velocity

• Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables

• Perform root cause analysis on often complex errors to help ensure data pipeline availability

• Help drive technical & architectural decisions on the data platform including decisions on data architecture, data engineering processes, data quality frameworks, data access security & governance frameworks, DataOps processes & data consumption models.

• Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration

• Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering

• Proactively drive innovation internally with dedicated innovation time & projects that aim to be transformational for either the platform, team or company as a whole.

• Actively contribute to the expertise level and competencies of the EDA Team and participate in the creation and support of data development standards and best practices. 

Requirements : 

• 3+ years of relevant experience in Data Engineering / Data Platform Engineering

• Expertise in SQL & Python is a must. Experience in Dataiku DSS is a big plus. 

• Prior experience with Snowflake strongly desired

• Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins

• Strong understanding of data architecture & data modeling concepts

• Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment

• Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas and challenge the norm.

• Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies

• Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements

• Ability to manage multiple projects and time constraints simultaneously in a high trust remote environment

• Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same

• Excellent written and verbal communication skills (especially with senior level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform.  Ability to create clear and concise documentations with a high degree of precision

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

We are looking for someone to join our Data department as a Data Engineer, helping us manage the integration and consolidation processes of our clients' data. In both on-premise and cloud environments, you will be responsible for designing the required information system architecture and managing and maintaining our clients' databases.

We’re looking for a proactive and analytical person who can adapt to a multidisciplinary team and is eager to help us tackle the many challenges our clients face.

What are we looking for?

Education:

• University degree in Computer Science, Software Engineering, or related fields with a technological specialization in data analysis and engineering.
• Plus: Master's or postgraduate degree in Big Data, Machine Learning, Cloud Computing, or Data Engineering.
  
  

Required Experience (demonstrable and advanced):

• Data Architecture & Systems: Extensive experience in designing, implementing, and optimizing complex, distributed information system architectures, including relational and NoSQL databases.
• Cloud Environments: Deep expertise in defining, implementing, managing, and maintaining enterprise-scale Cloud environments. Expert command of Azure and Google Cloud Platform (GCP), including PaaS/SaaS, serverless computing (Functions, Cloud Run, Azure Functions), containers (Docker, Kubernetes/AKS/GKE), and native cloud data services.
• Modern Data Warehouses: Advanced experience with cloud-native Data Warehouses like Snowflake, including dimensional data modeling, query optimization, and cost/performance management.
• Data Orchestration & Pipelines: Robust experience with data orchestration tools and building complex ETL/ELT pipelines using Pentaho, Apache Airflow, Data Factory, or similar, including CI/CD implementation for data pipelines.
• Advanced SQL: Demonstrable experience with advanced SQL, including complex analytical functions, query optimization, stored procedures, and efficient schema design.
• Software Development: Demonstrable experience with Javascript and Node.js, and Python for scripting, data automation, and ML model development.
  
  

Desired Experience:

• Customer Data Platforms (CDP): Experience in strategic definition, implementation, management, and maintenance of CDP solutions, preferably Segment, and their integration.
• Enterprise System Integration: Desirable experience with enterprise-level integration tools like Mulesoft or microservices architectures with REST/GraphQL APIs.
• Salesforce Ecosystem: Valuable experience working with Salesforce (Sales Cloud, Service Cloud, Marketing Cloud – SFMC), including data integration and automation.
  
  

Knowledge (Essential and Valuable):

• Deep knowledge and certifications in managing and optimizing cloud environments (Azure, GCP).
• Advanced knowledge and certifications in Snowflake (SnowPro Advanced/Architect is a plus).
• Proficiency in CDP tools (especially Segment).
• Knowledge of CRM / Marketing Automation tools (SFDC, SFMC, Adobe Campaign, Selligent Marketing Cloud).
• Advanced SQL knowledge (Analytical Functions, T-SQL, PL/SQL).
• Proficiency in programming languages like Javascript, Node.js, and Python.
• Strong understanding of Data Quality principles, Data Governance, and Normalization.
• Solid understanding of Machine Learning and AI algorithms for data enrichment and transformation.
• Experience with data streaming architectures (Kafka, Pub/Sub, Azure Event Hubs).
• Familiarity with MLOps and DataOps concepts.
  
  

Skills:

• Ability to analyze and solve complex problems.
• Project management and organizational skills for end-to-end data projects.
• Meticulous attention to detail and commitment to data quality.
• High capacity for discernment and prioritization in dynamic environments.
• Technical leadership and mentoring of junior profiles.
• Strategic thinking and innovation-oriented mindset.
• Excellent communication and presentation skills for clients and multidisciplinary teams.
  
  

Languages:

• Spanish (Native or Bilingual proficiency).
• English (High level C1/C2 - Essential for communication with international clients).
  
  

What would you do in this role? Here’s a list of responsibilities and tasks:

• Lead strategic requirements gathering, high-level design, and implementation of complex data solutions for client communication initiatives.
• Design and evolve scalable, efficient data architectures, selecting appropriate cloud-native technologies for each project.
• Design, develop, and optimize ETL/ELT data integration processes to ensure high-quality data ingestion, transformation, and availability.
• Implement end-to-end data solutions, ensuring validation, thorough documentation, and adherence to best practices in data engineering and security.
• Provide training and knowledge transfer to internal teams and clients.
• Maintain, evolve, and optimize existing data projects, ensuring monitoring, incident resolution, and continuous improvement.
• Manage and optimize client databases, ensuring performance, integrity, and security.
• Innovate with AI/ML: Implement data cleansing, normalization, consolidation, deduplication, and enrichment systems using ML/AI algorithms, including predictive scoring and customer clustering.
• Ensure Data Quality and Governance: Implement DQ mechanisms, guarantee data integrity, and ensure GDPR compliance across all processes.
• Strategically collaborate with clients: Participate in high-level meetings to assess current information system architectures, propose innovative improvements, and lead solution definitions for future challenges and new data platforms.
• Mentor and guide other data engineers, fostering best practices and professional development.
  
  

And since you'll give this and much more, we also want to give you much more:

• A dynamic and creative work environment.
• Important clients and international brands.
• Full-time position.
• Hybrid format.
• Christmas, Easter, July, and August: FULL REMOTE
• Flexible hours.
• Permanent contract with a six-month trial period.
• 22 working days of vacation per year + 12 extra days!
• Optional access to flexible compensation (health insurance, transportation, meals, and childcare).
• Ogilvy Wellness Program: Free psychological, legal, and financial support service. Discounts on physiotherapy and gyms.
• Ogilvy is recognized with the Family-Responsible Company (EFR) certification for its commitment to employee well-being and work-life balance.
  
  

If you’ve imagined yourself in this position, that’s a good sign. At Ogilvy, we want to work with the best talent—those who challenge us and make us better. People who are eager to experience an agency culture open to diversity as a principle and connectivity as a primary tool.

So, if you're nodding your head while reading this, send us your CV!

Senior Software Engineer - Application Core Services

This is a remote position. We are considering candidates in Germany, Ireland, Sweden, Spain and the UK only.

The Opportunity:

Application Core Services (AppCore) partners closely with our Cloud, Enterprise, and Grafana teams to deliver reliable internal and customer-facing systems that power critical parts of the Grafana business. We build on the grafana.com platform to create custom solutions and integrations across the many systems that support a modern software company.

The team owns important domain areas that help keep both our customer workflows and internal business processes running smoothly. AppCore is made up of multiple squads, each focused on one or more of these domains. Our work includes maintaining the billing engine responsible for customer usage calculation, automating provisioning after a customer signs a contract, integrating with cloud marketplaces such as AWS, Azure, and GCP, and building and maintaining the user portal our customers rely on to manage their accounts.

This is a team working at the intersection of product, platform, and business operations. The systems we build are critical to how Grafana scales. We are looking for engineers who enjoy solving complex workflow and systems problems, improving reliability and developer experience, and building software that directly supports both customers and internal stakeholders.

As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a unique perspective to the software. Engineers at Grafana also have the opportunity to contribute to Open Source communities and collaborate across teams beyond their immediate scope.

What You’ll Be Doing:

In this role, you will help design, build, operate, and evolve the critical services that support customer lifecycle workflows and internal business operations across Grafana.

• Take an active role in influencing the team roadmap and your own career development
• Drive projects from initial ideation through implementation and into production operations
• Design, build, operate, and maintain critical systems with a focus on reliability, performance, and availability
• Build and maintain production backend services and APIs that support core customer and business workflows
• Contribute to customer-facing and internal web applications, including our account and management portal
• Design, build, and maintain integrations between Grafana systems and external business platforms such as NetSuite, Salesforce, and other third-party services
• Work across internal services, APIs, and external systems to build reliable data flows and business-critical automations
• Continuously improve the existing codebase by addressing technical debt, strengthening CI/CD pipelines, and increasing test coverage
• Take ownership of the services your team runs, including participating in on-call rotations
• Collaborate closely with engineers, product managers, and stakeholders across the company using async communication and regular video meetings
• Work across one or more important AppCore domains, such as billing, provisioning, cloud marketplace integrations, account management workflows, and business systems integrations
• Contribute to technical design discussions and help shape pragmatic solutions to business-critical problems
• Embrace our open-source culture and contribute to projects that may not fall directly within your team’s immediate scope

As we are remote-first and our engineering organization is entirely remote, we provide guidance and meet regularly using video calls, so an independent attitude, strong communication skills, and transparency are essential.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

What Makes You a Great Fit:

• You are comfortable working in a remote-first company where communication is critical
• You thrive in a collaborative, respectful, and low-ego environment
• You value autonomy and sound decision-making over unnecessary process and red tape
• You work well within a team and are motivated to support the people around you
• You can work independently, but you also know when to ask for help or seek guidance
• You are curious, pragmatic, and not afraid to ask questions
• You care deeply about user experience and the quality of the software you build
• You enjoy working across both backend services and frontend applications, and you are comfortable contributing to APIs as well as user-facing product experiences
• You have an interest in full-stack development and enjoy working on systems that span service boundaries, internal integrations, and web applications
• You enjoy solving integration challenges across internal platforms and third-party systems, and you are comfortable reasoning about data flows, system boundaries, and operational reliability
• You are motivated by improving systems, workflows, and the developer experience over time

Requirements:

• Strong professional software engineering experience with at least one modern programming language such as JavaScript, TypeScript, Node.js, Go, or similar technologies
• Strong experience building and maintaining production backend services and APIs
• Solid experience with frontend development using TypeScript, ideally in modern web applications
• Ability to work effectively across the stack to deliver end-to-end features spanning backend systems, APIs, integrations, and customer-facing web experiences
• Experience designing, building, and maintaining integrations between internal services and third-party platforms
• Experience working with external business systems such as NetSuite, Salesforce, or similar SaaS platforms through APIs, events, or middleware
• Ability to design reliable system interactions across APIs, asynchronous workflows, and service boundaries
• Experience building and maintaining production systems and services
• Experience delivering projects from idea to production in a self-driven way
• Familiarity with owning software in a “you build it, you own it” environment, including operational responsibility
• Experience writing clean, maintainable, and well-tested code
• Solid understanding of modern software development practices, including CI/CD, code review, and automated testing
• Strong collaboration and communication skills in distributed teams
• Ability to work across technical and business problem spaces, partnering with stakeholders to deliver practical solutions

Bonus Points For:

• Experience with automation and infrastructure-as-code practices
• Experience with Kubernetes and cloud platforms
• Experience integrating with business platforms such as NetSuite, Salesforce, or similar SaaS systems
• Experience working on business-critical workflow domains such as billing, provisioning, account lifecycle management, or CRM/ERP integrations
• Interest in or experience with observability tools and practices
• Experience contributing to open source or working in open-source-oriented engineering cultures

Compensation & Rewards:

In Spain, the Base compensation range for this role is EUR 82,000 - EUR 103,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

What You’ll Do

• Technical AI governance and assurance
• Operationalise AI governance requirements across the full AI lifecycle, from ideation and use-case approval through development, validation, deployment, monitoring, change management, and retirement.
• Review AI and ML systems at a technical level, including model design, feature pipelines, training approaches, validation methods, deployment architecture, monitoring controls, and human oversight mechanisms.
• Translate technical system characteristics into clear governance, risk, and regulatory positions, including mapping to requirements under the EU AI Act, GDPR, LGPD and other relevant frameworks.
• Conduct risk assessments and assurance reviews of AI systems, including risks relating to bias, explainability, privacy, robustness, model drift, misuse, human oversight, transparency, and customer impact.
• Assess whether AI systems have the right documentation, controls, and evidence to support internal governance, regulatory scrutiny, and audit.
• Governance implementation
• Embed governance checkpoints, review criteria, and control requirements into product, engineering, and model development workflows.
• Design and maintain practical governance artefacts such as AI inventories, use-case classification approaches, risk assessment templates, control libraries, testing standards, and review rubrics.
• Define minimum evidence requirements for AI systems, including documentation of intended purpose, system design, data lineage, validation, performance metrics, limitations, human oversight, and post deployment monitoring.
• Audit, compliance, and regulatory readiness
• Perform technical governance reviews and audits of AI systems and supporting processes.
• Test the design and operating effectiveness of AI-related controls and identify remediation actions where gaps exist.
• Produce structured findings, risk opinions, and assurance reports for technical and non-technical stakeholders.
• Support audit and regulatory readiness by building defensible compliance narratives and evidence packs.
• Escalate material issues, control weaknesses, or ethical concerns and track remediation through to closure.
• Monitoring and reporting
• Help define and track meaningful AI governance, risk, and assurance metrics.
• Develop dashboards and reporting views that provide visibility of AI use cases, risk status, control coverage, review outcomes, incidents, and remediation progress.
• Oversee or challenge post-deployment monitoring for model performance, fairness, stability, drift, and adverse customer or business outcomes.
• Business partnership and capability building
• Work directly with data scientists, ML engineers, product teams, and business owners to help them build compliant and trustworthy AI systems without slowing innovation unnecessarily.
• Build organisational capability by translating regulatory and governance expectations into practical guidance, playbooks, and training.
• Keep stakeholders informed on emerging AI regulatory developments, assurance techniques, and good practice.

What We’re Looking For

• Extensive of experience across AI/ML, model risk, technical assurance, or technical AI governance, with a meaningful part of that experience in a regulated environment.
• Preferred prior background as an ML engineer, data scientist, model validator, AI architect, or similar technical role, with subsequent and/or experience in AI governance,
• AI assurance, model risk, or regulatory delivery.
• Experience conducting deep reviews of AI/ML systems beyond policy conformance, including assessment of model design, validation, monitoring, and operational controls.
• Experience translating technical AI concepts into regulatory, risk, audit, or compliance language for senior stakeholders.
• Experience implementing governance processes, controls, and assurance mechanisms in real delivery environments, not just designing high-level frameworks.
• Strong working knowledge of several of the following: EU AI Act, GDPR/LGPD and automated decision-making / profiling considerations, ISO/IEC 42001, ISO/IEC 23894,
• NIST AI RMF, OECD or other leading responsible AI frameworks, sector or market expectations relevant to gambling, customer protection, and technology risk
• Strong understanding of how AI and ML systems are built, evaluated, deployed, and monitored in production.
• Ability to interpret model and system documentation, architecture diagrams, data flows, validation results, and monitoring outputs.
• Familiarity with common ML approaches, LLM / generative AI patterns, model lifecycle tooling, and data/ML platforms.
• Familiarity with cloud-based AI environments such as AWS, Azure, or GCP.
• Stakeholder and delivery skills
• Able to work across technical, product, risk, legal, cybersecurity, and operational teams with credibility.
• Strong written skills, including the ability to produce clear review reports, risk assessments, control evaluations, and executive-ready summaries.
• Comfortable leading workshops, challenging constructively, and driving remediation.
• Able to operate with autonomy and create structure where none exists.
• Strong judgement, pragmatism, and attention to evidence.

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

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