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

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 

We are looking for an experienced Senior Backend Engineer to join our Platform hive as part of our Foundation Engineering team to work closely with all the other hives of the Product Development department, Tech and Business teams. At Urban Sports Club our aim is to create a world where everyone enjoys doing sports and we are ambitious in our plans to grow and cater to a wider user audience.

Foundation Engineering is at the heart of this vision, delivering customer value by taking on the opportunities in tech to address, design and deliver on the future of tech in the business and personalise the experience of multi million customers in the near future. You will be responsible for helping us execute our Tech vision, that includes taking on opportunities such as designing our next generation systems such as search, authentication, and such enterprise wide themes as well as scaling our system to accommodate massive user growth.

This position can be based in Madrid, Barcelona or Valencia (in office-attendance is expected in the Valencia office ca. 3 days per month).

What you will do

• Ensure the productivity and resilience of our infrastructure, including monitoring and observability of our services
• Work on standardizing processes and building automation for data pipeline onboarding, deployment, scheduling, failure recovery, and other aspects of operating our platform
• Work closely with the SRE team to ensure developer productivity and CI/CD adoption within the Data Platform team
• Craft and operate the services, infrastructure, and tools that make up our platform to enable the execution of batch and streaming pipelines running on Kubernetes and GCP
• Work hands-on on topics as part of a closely knit team
• Solution architect and deliver company-wide technical topics with a forward-looking vision that aligns technology and business with our multi-year roadmap

What you will need to succeed

• You have gained 5+ years of experience in backend development
• You have experience in development, administration, operation, and troubleshooting of sophisticated, large-scale systems running on Kubernetes
• You are experienced with Go and you are a strong practitioner of system design, architecture, and development best practices
• You break down challenges into modular, scalable solutions and can bridge the gap between technology and business
• You have a strong analytical mindset and a genuine curiosity to experiment and test changes. You challenge yourself and others, never settling for assumptions
• A fun attitude: you engage, inspire, and motivate the people you work with. We like to have fun while working on this important strategic domain for the whole group

What’s in it for you 

• Work on cutting-edge tech and influence the future of our stack: explore our Tech Radar
• We're open to relocation and providing support with our visa agency
• 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).

What are we looking for?

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

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

Requirements

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

Technical Skills:

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

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

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

Essential Non-Technical Skills:

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

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

#LI-FP1

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)

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

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

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

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

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

As a Site Reliability Engineer, you will be:

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

You may be a fit for this role if you:

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

Projects you could work on:

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

What’s it like to work at Cabify?

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

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

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

Join us!

The Team:

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 Opportunity:

The Partner Solution Architect (PSA) is a Datadog expert who will work closely with Datadog’s Director, Adoption Services, and is aligned to our Channels & Alliances business segment. The PSA is responsible for supporting a variety of technical initiatives and activities for our partners (for example: cloud migration, application modernization, DevOps transformation). They are accountable for the outcome of these initiatives, and frequently collaborate with both Datadog and Partner resources to drive success. The PSA is a trusted technical advisor for our Partner channel.

You Will:

• Ensure the successful onboarding, training, enablement, and certification of partner technical resources;
• Participate in periodic joint business planning and review sessions to ensure direct alignment between Datadog and Partner technical teams;
• Collaborate internally to support Partner technical initiatives such as end-customer demonstrations and proofs of value; partner team enablement workshops; assessment, advice, and coaching on lead practices;
• Advocate on behalf of Partners’ technical concerns (use cases, feature requests, support issues, e.g.) with Datadog internal teams and personnel, helping to bring those concerns to resolution;

• Analyze and understand Partner service offerings on a regular basis and provide recommendations to enhance the value of those services through greater or improved adoption of Datadog features and capabilities;
• Collaborate with Datadog’s product management, engineering and technical services teams to help identify and prioritize new features and capabilities;
• Continuously help curate and evolve lead/best practices for Datadog platform adoption and success.

You Are:

• Possess a solid technical grounding with hands-on experience of IT Development and/or Operations;
• A demonstrable track-record and never-ending passion for learning;
• A self-starter, tech-savvy professional with solid business acumen; ability to articulate Datadog value from server room to boardroom;
• Confident presentation skills;
• Must be a current EU resident
• Desired hands-on experience in two or more of the following areas:
  • Observability: Datadog, Splunk, AppD, New Relic or Dynatrace
  • Public Cloud: AWS, Azure, GCP, or Alibaba
  • Containerization: Docker, Kubernetes, OpenShift, Cloud Foundry
  • Dev/Scripting: Python, Javascript, Ruby, Perl, PHP, Go
  • Config Mgmt: Terraform, Ansible, Puppet, Chef
  • CI / CD: Jenkins, Gitlab

Bonus Points:

• Previous experience working in a technical role for or supporting channel partners (Systems Integrators, Managed Services Providers, e.g.);
• Previous experience using Datadog and/or other cloud monitoring tools (APM, Infrastructure, Logs, Synthetics, NPM);
• Previous experience with root-cause-analysis, troubleshooting, debugging

Why You Should Apply: 

• Generous and competitive global and US benefits
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities 
• Product training to develop an in-depth understanding of our product and space
• Best in breed onboarding
• Internal mentor and buddy program cross-departmentally
• Friendly and inclusive workplace culture

About Datadog:

Datadog is the monitoring and security platform for cloud applications. Our SaaS product is used by organizations of all sizes across a wide range of industries to enable digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stack, allowing for seamless collaboration and problem-solving among Dev, Ops and Security teams globally. Given the resilience of cloud technologies and importance placed today in digital operations and agility, Datadog continues to innovate and is well positioned for the long term.

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.

The Team:

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 Opportunity:

The Partner Solution Architect (PSA) is a Datadog expert who will work closely with Datadog’s Director, Adoption Services, and is aligned to our Channels & Alliances business segment. The PSA is responsible for supporting a variety of technical initiatives and activities for our partners (for example: cloud migration, application modernization, DevOps transformation). They are accountable for the outcome of these initiatives, and frequently collaborate with both Datadog and Partner resources to drive success. The PSA is a trusted technical advisor for our Partner channel.

You Will:

• Ensure the successful onboarding, training, enablement, and certification of partner technical resources;
• Participate in periodic joint business planning and review sessions to ensure direct alignment between Datadog and Partner technical teams;
• Collaborate internally to support Partner technical initiatives such as end-customer demonstrations and proofs of value; partner team enablement workshops; assessment, advice, and coaching on lead practices;
• Advocate on behalf of Partners’ technical concerns (use cases, feature requests, support issues, e.g.) with Datadog internal teams and personnel, helping to bring those concerns to resolution;

• Analyze and understand Partner service offerings on a regular basis and provide recommendations to enhance the value of those services through greater or improved adoption of Datadog features and capabilities;
• Collaborate with Datadog’s product management, engineering and technical services teams to help identify and prioritize new features and capabilities;
• Continuously help curate and evolve lead/best practices for Datadog platform adoption and success.

You Are:

• Possess a solid technical grounding with hands-on experience of IT Development and/or Operations;
• A demonstrable track-record and never-ending passion for learning;
• A self-starter, tech-savvy professional with solid business acumen; ability to articulate Datadog value from server room to boardroom;
• Confident presentation skills;
• Must be a current EU resident
• Desired hands-on experience in two or more of the following areas:
  • Observability: Datadog, Splunk, AppD, New Relic or Dynatrace
  • Public Cloud: AWS, Azure, GCP, or Alibaba
  • Containerization: Docker, Kubernetes, OpenShift, Cloud Foundry
  • Dev/Scripting: Python, Javascript, Ruby, Perl, PHP, Go
  • Config Mgmt: Terraform, Ansible, Puppet, Chef
  • CI / CD: Jenkins, Gitlab

Bonus Points:

• Previous experience working in a technical role for or supporting channel partners (Systems Integrators, Managed Services Providers, e.g.);
• Previous experience using Datadog and/or other cloud monitoring tools (APM, Infrastructure, Logs, Synthetics, NPM);
• Previous experience with root-cause-analysis, troubleshooting, debugging

Why You Should Apply: 

• Generous and competitive global and US benefits
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities 
• Product training to develop an in-depth understanding of our product and space
• Best in breed onboarding
• Internal mentor and buddy program cross-departmentally
• Friendly and inclusive workplace culture

About Datadog:

Datadog is the monitoring and security platform for cloud applications. Our SaaS product is used by organizations of all sizes across a wide range of industries to enable digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stack, allowing for seamless collaboration and problem-solving among Dev, Ops and Security teams globally. Given the resilience of cloud technologies and importance placed today in digital operations and agility, Datadog continues to innovate and is well positioned for the long term.

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)

The Team:

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

The Role:

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

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

The work you’ll do:

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

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

The qualifications you need:

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

About the Role:  

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

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

What You’ll Do: 

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

What You’ll Bring: 

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

What You’ll Get: 

Veeam offers benefits that support your whole self: 

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

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

#LI-DF1 #LI-REMOTE

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

What you will do

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

Where you will have impact

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

About our team

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

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

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

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

What's in it for you?

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

Who you are

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

We welcome

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

Technologies you will work with

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

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

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

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

Overview

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

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

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

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

What You’ll Do

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

An Ideal Candidate Should Have

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

What We Offer

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

Think you’re a good fit for this job? 

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

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

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

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

Why this role matters:

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

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

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

Your key responsibilities:

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

What you'll bring:

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

Experience we consider a plus:

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

#LI-JM1

Responsibilities

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

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

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

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

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

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

• Manage and provision AWS infrastructure using Terraform and Kubernetes.

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

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

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

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

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

Requirements

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

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

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

• Experience operating infrastructure on AWS at scale.

• Proficiency with Terraform, Kubernetes. 

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

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

• Excellent analytical, troubleshooting, and communication skills.

Nice to Have

• Experience with Golang for tooling or internal services.

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

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

• Understanding of Vault or other secrets management systems.

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

Tech Stack

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

(REQ ID: )

Summary

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

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

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

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

What you’ll do

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

What you’ll bring

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

Summary

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

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

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

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

What you’ll do

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

What you’ll bring

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

Responsibilities

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

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

• Scaling observability infrastructure across multiple data centers and Kubernetes clusters

• Owning logging pipeline architecture and refactoring efforts

• Improving distributed tracing coverage and driving adoption across engineering teams

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

• Automating operational tasks to reduce toil and improve system stability

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

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

Requirements

Core technical experience:

• 8+ years of industry experience

• Solid hands-on production experience with observability systems

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

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

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

• Experience with Kubernetes cluster lifecycle management (EKS preferred)

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

Nice to have  

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

• Familiarity with AI-assisted tooling selection and workflow integration

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

• Background in cloud account or environment migrations

• Experience preparing infrastructure for compliance/audit processes

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

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

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

Soft Skills / Personal Characteristics

• Good communication and collaboration skills in international technological companies.

• Interest in modern big distributed storage technologies, architectures.

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

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

(REQ ID: 2640)

Responsibilities

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

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

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

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

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

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

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

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

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

• Document development processes and best practices.

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

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

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

Requirements

Qualifications / Experience / Technical Skills

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

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

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

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

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

• Strong understanding of networking fundamentals and web services architecture.

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

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

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

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

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

(REQ ID: 2718)

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

Responsibilities

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

• Contribute in all phases of the development lifecycle

• Write well designed, testable, efficient code

• Evaluate and propose improvements to existing system

Requirements

• 5+ years of industry experience

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

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

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

• Good understanding of Linux networking and security

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

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

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

• Understanding of Kubernetes concepts

• Excellent debugging and optimization skills

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

• Contributions to open source projects is a plus

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

• Attention to detail and ability to solve complex customer problems

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

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

Responsibilities

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

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

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

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

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

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

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

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

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

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

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

Example Projects

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

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

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

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

Requirements

Qualifications / Experience / Technical Skills

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

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

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

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

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

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

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

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

Preferred Skills

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

• Background in developer platforms or AI infrastructure services.

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

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

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

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

Soft Skills / Personal Characteristics

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

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

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

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

(REQ ID: 2459)

Responsibilities

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

 In this role, you will also be responsible to:

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

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

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

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

• Contribute in all phases of the development lifecycle.

• Provide code reviews to your teammates.

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

• Evaluate and propose improvements to existing systems.

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

• Help maintain code quality, organization and automatization.

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

Requirements

Qualifications / Experience / Technical Skills

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

• Excellent understanding of distributed systems patterns and algorithms.

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

• Excellent understanding of network protocols and stacks.

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

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

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

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

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

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

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

Optional

• Background in GOlang, Rust, WASM.

• Background in network programming.

• Background in Kotlin/Multiplatform. 

• Background in application, data security.

• Deep knowledge of physical DB design.

• Experience of working with Docker and other isolation technologies.

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

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

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

Soft Skills / Personal Characteristics

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

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

(REQ ID: 2343)

About the Role

📍Hybrid from Madrid or Valencia 

You will engineer the core of our proprietary internal platform that democratizes AI across the company. This is not a standard full-stack role maintaining existing systems, you will build the factory that enables other teams to create autonomous AI Agents. You will design Chain of Thought reasoning flows, integration layers, and agent logic that allow AI to execute complex business tasks at scale. This is applied AI engineering: no model fine-tuning, just sophisticated system design and relentless execution. You will join a new focused team of two engineers, collaborating daily with the AIGO team and cross-functional partners across Global Operations, Customer Satisfaction, and Engineering.

Key Responsibilities

• Develop and expand our internal AI platform, enabling internal teams to build autonomous AI Agents without deep ML expertise
• Engineer Chain of Thought reasoning flows and integration layers that power agent logic
• Build reliable, long-running AI Agent systems that handle failures at scale and prevent cascading outages when external LLM providers go down
• Design node-based tools for intent retrieval, context management, and API routing
• Program agent logic using TypeScript, Node.js, Express, React, Next.js, and SQL
• Maintain a high bar for software quality and reliability while innovating at speed
• Integrate AI-native tooling (Cursor, Claude Code) into your development workflow without sacrificing code quality

Key Requirements

• Experience with TypeScript, Node.js, Express, React, Next.js, and SQL
• Practical knowledge of Docker, Kubernetes, and Linux environments
• Hands-on experience with Chain of Thought (CoT), Agent building, and RAG concepts
• An AI-First mindset: you already use Cursor or Claude Code and possess the engineering rigor to validate AI-generated code
• Proven track record of shipping software to production

Nice to Have

• Proficiency with Cursor or Claude Code 
• Knowledge of ML theory (helpful for context, though fine-tuning is not part of the role)

What Success Looks Like

First 30 days: Set up your development environment, adopt AI-first workflows, gain a functional understanding of our internal AI platform, ship a bug fix to production, and build your first AI Agent using our platform.

First 60 days: Deep dive into a key product area’s architecture, design and implement a small-scale AI feature, and demonstrate independence in troubleshooting and shipping without hand-holding.

First 90 days: Take ownership of a significant AI feature from concept to production, contribute to internal documentation on Agent best practices, and actively participate in architectural reviews as a fully integrated team member.

One year: Transform a portion of our AI platform with a major AI-driven application feature, become recognized as a stakeholder in building and optimizing AI Agents across Groupon, and maintain a high bar for software quality while innovating at speed.

We Are Interested In

A true builder who wants to engineer the platform that powers AI Agents, not just write prompts. You bring a balance of “Old School” engineering discipline (reliability, structure) and “New Wave” AI agility. You are excited to use the latest AI-native stack to create sophisticated internal tools that drive global operations and shape how a global company operationalizes AI. 

#LI-KH1  #LI-Hybrid

The Role

We're looking for a Lead AI Engineer to drive Fever's company-wide AI transformation. This is a high-impact role for someone who can build and lead small, high-performance specialist teams that ship AI initiatives across large business domains — from business development and creative production to investment decisions, operations, and customer experience.

Your focus is applying AI to transform how the business operates. You'll stay at the cutting edge of AI technology being developed around the world and translate it into practical, high-leverage applications inside Fever — automating workflows, augmenting decision-making, and unlocking capabilities that weren't possible before. You'll partner with senior leaders across the company to identify the highest-leverage opportunities, assemble the right squad to tackle them, and deliver production-grade AI products that change how Fever operates at scale.

This role combines deep technical excellence, hands-on system design, team leadership, and strategic stakeholder management. You'll set the bar for what AI engineering looks like at Fever and shape how the company adopts AI across every function.

What you'll do

• Lead Fever's AI transformation across multiple business domains, identifying where AI can unlock the largest impact and shaping the roadmap to get there.
• Build and lead small, high-performance specialist teams — embedding with business stakeholders to ship AI products end-to-end, from problem framing to production.
• Design and ship advanced AI systems combining LLMs, agents, retrieval, and orchestration layers, optimized for real business outcomes rather than benchmarks — including high-volume, low-latency production workflows.
• Define best practices for AI engineering at Fever: evaluation, observability, cost control, prompt and model governance, safety, and long-term maintainability.
• Hire, mentor, and grow AI engineers, fostering a culture of ownership, craftsmanship, and high velocity.
• Act as a trusted advisor to senior leadership across business domains, translating AI capabilities into concrete strategy and managing expectations on what's feasible, when, and at what cost.

What we're looking for

• Strong software engineering foundations with hands-on experience in Python, building scalable production systems (event-driven architectures, microservices, APIs, databases).
• Deep, hands-on experience designing and shipping AI systems in production — LLM applications, agentic workflows, RAG, fine-tuning, or orchestration frameworks (LangGraph, LlamaIndex, DSPy, or similar) — ideally having delivered something similar at another company.
• Solid grasp of the modern AI stack: foundation model APIs (OpenAI, Anthropic, Google), vector databases, evaluation frameworks, prompt engineering, and inference optimization. Comfortable with AWS, Docker, Kubernetes, CI/CD, and observability tooling for AI workloads.
• Strong product sense and stakeholder management skills — ability to navigate ambiguity, prioritize ruthlessly for impact, and align engineering work with business goals.
• Track record of leading projects across multiple teams and of hiring, mentoring, and growing engineers.

Bonus points for

• Experience building agentic systems or AI-powered automation that replaces or augments human workflows at scale.
• Familiarity with the broader AI/ML platform ecosystem (LangSmith, Langfuse, Weights & Biases, MLFlow) and applied ML at scale (recommenders, ranking, search).
• Side projects, open-source contributions, or published work in applied AI.

The environment

• Product-driven, cloud-native (AWS), fast-moving team with direct line of sight to business impact.
• We care about code quality, performance, testability, evaluation rigor, and long-term maintainability.
• We hire builders: people who own systems end-to-end and turn ambiguity into shipped products.
• Leadership is hands-on and collaborative — setting the pace through initiative, example, and accountability.
• This role is based in our Madrid office. We work in a hybrid setup with strong in-person collaboration, so being on the ground in Madrid is essential for embedding with business teams across the company.

Benefits & Perks

• Responsibility from day one and professional and personal growth in one of the most exciting AI roles in the company.
• Opportunity to have a real impact in a high-growth global category leader.
• A compensation package consisting of base salary and the potential to earn a significant bonus for top performance.
• Stock options plan.
• 40% discount on all Fever events and experiences.
• Based in Madrid, with a home office friendly setup.
• Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee.
• English / Spanish lessons.
• Wellhub membership.
• Possibility to receive in advance part of your salary by Payflow.

NEORIS ahora parte de EPAM es un acelerador Digital que ayuda a las compañías a entrar en el futuro, con más de 20 años de experiencia como Socios Digitales de algunas de las compañías más importantes del mundo. Somos más de 4,000 profesionales en 11 países, con una cultura multicultural y de startup donde fomentamos la innovación, el aprendizaje continuo y la generación de soluciones de alto impacto para nuestros clientes.

Estamos en búsqueda de: DevOps Semi Senior - Mid!

Principales responsabilidades:
• Implementar, optimizar y mantener entornos Cloud Native, garantizando escalabilidad, seguridad y rendimiento.
• Gestionar y automatizar pipelines de CI/CD utilizando GitHub, GitLab o Jenkins.
• Diseñar, desplegar y administrar soluciones basadas en contenedores.
• Configurar y mantener herramientas de observabilidad, asegurando una monitorización integral mediante Dynatrace, Prometheus y Grafana.
• Colaborar con equipos de desarrollo y arquitectura para definir buenas prácticas DevOps.
• Participar en la mejora continua de procesos, automatización y estándares técnicos.

Requerimientos:
Excluyentes:
• Experiencia mínima de 2 a 4 años en roles DevOps (nivel semi senior).
• Conocimientos sólidos en prácticas Cloud Native y gestión de contenedores.
• Experiencia aplicando herramientas de observabilidad como Dynatrace, Prometheus y Grafana.
• Manejo de GitHub o GitLab y experiencia en pipelines con Jenkins.
• Conocimiento de herramientas de calidad y seguridad como Kiuwan.

Deseables:
• Experiencia con Kubernetes u otros orquestadores de contenedores.
• Certificaciones en DevOps o Cloud.
• Experiencia en entornos de alta disponibilidad o proyectos de transformación digital.
• Conocimientos en automatización avanzada e Infrastructure as Code.

Ofrecemos
• Contrato indefinido con salario competitivo
• Modalidad flexible y posibilidad de trabajo remoto.
• Plan de carrera personalizado y formación continua (certificaciones, inglés, etc.).
• Participación en proyectos estables con alto componente técnico.
• Flexibilidad horaria y enfoque en la conciliación.
• Beneficios sociales adaptados a tus necesidades

Te invitamos a conocernos en http://www.neoris.com, Facebook, LinkedIn, Twitter o Instagram: @NEORIS.

#LI-MO1

The Challenge

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

Your Mission 

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

You Are 

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

Your experience includes:  

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

What we do  

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

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

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

What you’ll do: 

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

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

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

Who you are: 

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

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

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

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

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

What will your day look like?

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

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

Who are you going to work with?

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

What do you bring to the table?

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

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

Moreover, you have:

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

Personal skills:

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

A leader in personalized customer experiences

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

A global network

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

#LI-EMEA

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

The JetBrains Cloud Platform team develops a cloud-based service that helps organizations manage JetBrains products and services with a focus on encouraging the adoption of AI-powered development tools. JCP provides centralized management, usage-based billing, and visibility into AI consumption patterns.

We are currently seeking a skilled Performance QA Engineer to join our team and improve the reliability of our system. In this role, you will be responsible for ensuring the scalability and stability of our distributed systems through rigorous performance testing and analysis.

As part of our team, you will:

• Design, develop, and maintain automated performance test suites for complex distributed systems.
• Identify system bottlenecks, conduct root-cause analysis, and partner with engineering teams to implement remediation strategies.
• Generate high-quality performance reports with actionable recommendations and communicate findings to both technical and non-technical stakeholders.
• Work closely with cross-functional development teams to identify performance-critical components and define SLAs, performance criteria, and workload models.
• Design and enhance frameworks for performance test execution, test results collection, analysis, visualization, and reporting.
• Integrate performance testing into CI/CD pipelines.

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

• 5+ years of experience in performance testing or engineering.
• Strong hands-on experience with at least one major performance testing tool – K6, JMeter, Gatling, Locust, or LoadRunner (code-based tools are preferred, but git knowledge is a must).
• Solid programming or scripting skills in languages such as Java, Python, JavaScript/TypeScript, or Go.
• A strong understanding of distributed systems, API performance, databases, caching, and networking fundamentals.
• The proven ability to analyze performance metrics, identify bottlenecks, and recommend improvements.
• Experience testing high-traffic or mission-critical applications.
• Strong analytical skills and the ability to communicate technical findings clearly.
• Proficiency in English, both written and spoken.

We’ll be especially thrilled if you have:

• Experience with observability platforms (Prometheus/Grafana and Elastic).
• Experience with containerized and cloud-native environments (Docker, Kubernetes, and AWS/GCP/Azure).
• Familiarity with event-driven systems, streaming platforms (Kafka), and microservice architectures.
• Knowledge of CI/CD automation (TeamCity, GitHub Actions, etc.).

Why join JetBrains? 

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

*Some benefits may vary depending on location.

#LI-DNI

Tech environment

This role is intentionally not defined by one framework or specialty. That said, you will likely operate in an environment that includes Python-based services and APIs, relational databases, data-warehouses, real time databases and SQL, event-driven or distributed systems, cloud infrastructure, containers, CI/CD pipelines, and observability tooling. Depending on the project, you may also work with AI APIs, LLM-based workflows, retrieval patterns, and automation tooling.

Nice to have

• Experience working on internal platforms, operational tools, or product-heavy backend systems.
• Experience with Python frameworks such as Django, Flask, or FastAPI.
• Experience with PostgreSQL, Snowflake, Tinybird, Redis, and SQL-heavy applications.
• Familiarity with event-driven architectures or messaging systems such as Kafka or RabbitMQ.
• Experience with AWS, Docker, Kubernetes, Terraform, or similar infrastructure patterns.
• Familiarity with observability and monitoring tooling.
• Exposure to AI-enabled product development, LLM integrations, RAG patterns, or workflow automation.
• Experience working on 0→1 initiatives or undefined problem spaces.
• Demonstrated leadership through ownership of difficult projects with broad impact.

What success looks like

• You turn ambiguous opportunities into working systems or products that create clear value.
• You help teams make better trade-offs and avoid overengineering, fragmentation, and local optimization.
• You improve not only what gets built, but also how decisions are made.
• You become a trusted technical leader for important cross-functional initiatives.
• You increase the leverage of other engineers and teams through your judgment, technical direction, and execution support.
• You help connect engineering work to real operational and business outcomes.

Who will thrive in this role

You will likely thrive here if:

• You are energized by ambitious, messy, high-leverage problems.
• You like operating where priorities evolve and the path is not fully defined.
• You care more about impact than about staying inside a narrowly defined engineering lane.
• You enjoy combining engineering depth, product thinking, and business context.
• You naturally look for the highest-leverage way to move a system, a team, or a product forward.
• You want to play a meaningful role in shaping how the company builds and scales. 

Why join Fever

• You will work on some of the company’s most strategic problems.
• You will have real ownership and visible impact.
• You will help shape products, systems, and capabilities that matter across the business.
• You will work in an environment that values ambition, adaptability, pragmatism, and execution.
• You will be surrounded by smart, driven people who care about building things that matter.

Benefits & Perks

• Flexible schedule
• 2 days per week at the office
• 40% discount on all Fever events and experiences
• Health insurance from Day 1
• English or Spanish Lessons
• Wellhub Membership
• Cobee (tax free allowance on restaurants and transport)
• Possibility to receive in advance part of your salary by Payflow

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

We are looking for a talented Full Stack Engineer to join our team and help build an innovative agentic-driven product. In this role, you’ll work across the entire stack – frontend, backend, and cloud infrastructure – designing, developing, and maintaining high-quality features. You’ll collaborate closely with product managers, designers, fellow engineers and AI-agents to deliver scalable, reliable, and user-friendly solutions.

Our tech stack:

• Primary: TypeScript, Node.JS, Nest.JS, React, Vitest (no legacy tech)
• Secondary: Kotlin/Java (for some backend services)

In this role, you will: 

• Design, develop, and maintain end-to-end features across the frontend and backend.
• Collaborate with product and design teams to translate user needs into technical solutions.
• Write clean, efficient, and well-documented code.
• Integrate our product with internal and external APIs and services.
• Contribute to architecture decisions, scalability, and performance improvements.
• Participate in code reviews to ensure quality and best practices.
• Debug, troubleshoot, and resolve issues quickly.
• Optimize applications for speed, usability, and scalability.
• Stay up to date with emerging technologies, tools, and industry trends.
• Continuously improve development processes and practices.

We will be happy to have you on our team if you have: 

• 6+ years of proven experience as a Full Stack Engineer or in a similar role.
• Solid engineering and architecture skills and ability to build reliable solutions.
• Focus on customer-oriented delivery and understanding of user needs and requirements.
• Deep understanding of backend & frontend development.
• Proficiency in multiple programming languages (e.g. TypeScript, Kotlin, Java, Python).
• Experience with relational and/or NoSQL databases (e.g. PostgreSQL, MongoDB, and MySQL).
• Understanding of cloud platforms (e.g. AWS, GCP, or Azure) and containerization (Docker or Kubernetes).
• Proficiency with version control systems (e.g. Git).
• Experience with testing frameworks (e.g. Jest, Vitest, and Playwright).
• Familiarity with authentication, authorization, and security best practices.
• Experience with AI agent development
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration abilities.
• A bachelor’s degree in computer science or engineering (or equivalent practical experience).

Why join JetBrains?

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

#LI-IM1

Responsibilities:

• Build and leverage threat models to secure core cloud platform services
• Establish protections/requirements to enable product team usage of emergent cloud features
• Co-author next generation cloud platform designs accounting for evolving threat and product landscapes
• Describe solutions intent within the solutions associated operating environment, determine the primary systems/subsystems & their interfaces, and define functional & non-functional requirements 
• Ensure solutions are fit for purpose and ensure their use by working with stakeholders, vendors/service providers, and evaluating the impact of strategic design decisions 
• Contribute to the development of best practices including standardized templates 
• Work with Product Managers/Owners to plan and prioritize technology focused backlog items for the architecture runway to enable business epics/features and expand into new opportunities 
• Clarify the architecture for the engineering teams to support implementation and provide solutions to resolve any architectural impediments
• Perform both design and code reviews to ensure all functional & non-functional requirements for a solution are sufficiently met (e.g., security, scalability, usability, reliability, maintainability, and performance) 
• Develop security patterns, standards, and architectural decision records to ensure Netskope data at rest, in motion or in use is properly secured. 
• Design and develop data security architectures for cloud and cloud/hybrid-based systems. 

Requirements:

• Experience designing and implementing security services/solutions which were applied to GCP, Azure, and AWS
• In-depth knowledge of cloud platforms, Linux, and security at scale
• Experience working with engineering product teams and bringing solutions to market
• Demonstrated capabilities to effectively communicate and collaborate with diverse teams
• Understanding of compliance needs and evidence collection
• Moderate ability to create scripts, perform automation, and aggregate data for analysis
• A combination of confidence and independence…with the prudence to know when to ask for help
• Demonstrates flexibility within a variety of changing situations, while working with individuals and groups.
• Minimum 10+ years of experience building and managing security infrastructure and solutions in the financial industries
• Strong ability to effectively communicate with and present to the senior leadership team
• Experience with assessment, development, implementation, integration, optimization, and documentation of a comprehensive and broad set of security technologies and processes in on premise, public, private, and hybrid cloud environments •
• Experience with Hybrid cloud architectures and designs
• Must have experience with Internet Application Hosting architectures, best practices, and related technologies to effectively protect externally facing applications
• Experience with DevSecOps process, Infrastructure as Code/Policy as Code, Container technologies (Docker, Kubernetes), API Gateways, and other common web application technologies is preferred
• Strong knowledge of enterprise security concepts/frameworks and products, secure design principles and best practices
• FedRAMP, NIST 800-53, NIST 800-190, CSA, CIS Benchmarks, ISO 27000 series, COBIT, etc.
• Good written and verbal communication skills a must.
• Must be able to design and create technical solution/process documentation quickly and succinctly
• Must be a self-starter, strong leader who is able to manage, develop and nurture a team of senior engineers and architects; work with limited supervision & be able to work well with others in a globally diverse IT (Information Technology) environment
• Understanding of cryptography as it relates to application, network, and cloud security
• CISSP, CCSP, TOGAF certification is preferred. Any other Information Security oriented certifications a plus.
• Any Cloud Security or Cloud Architecture certifications is preferred.

Education:

• Bachelor’s degree/University degree or equivalent experience preferred

#LI-NS1

About the Role

Engineering Manager – Marketing Platform (Dispatch & Subscriptions)

Groupon's Marketing Engineering team owns the systems that connect millions of users with the right offer at the right time. This includes our Dispatch platform (real-time communications infrastructure) and Subscription systems that drive engagement and conversion at scale.

As Engineering Manager, you'll lead distributed engineering teams responsible for the reliability, scalability, and evolution of these platforms. You'll be accountable for both keeping the lights on and driving meaningful modernization — reducing operational costs, shipping AI-enabled features, and building a team that executes with ownership and speed.

This role sits at the intersection of platform engineering and business impact. If you're energized by large-scale distributed systems, cross-functional delivery, and growing engineers — this is for you.

Key Responsibilities

• Own end-to-end delivery across Dispatch and Subscription platform services, ensuring 99.99% uptime and sub-1s latency for real-time communications

• Lead and grow a distributed engineering team; manage performance, run regular 1:1s, and build a strong culture of ownership and accountability

• Drive platform modernization: reduce technical debt, optimize cloud resource usage, and target a 30% reduction in operational costs over 12 months

• Partner with product, data, and marketing stakeholders to align engineering delivery with business priorities

• Set and enforce engineering standards — code quality, CI/CD pipelines, microservices patterns, and incident response

• Participate actively in architectural decisions, design reviews, and technical direction within your team's scope

• Champion AI/ML integration where it delivers measurable outcomes — intelligent routing, automation, personalization; target at least 2 AI-driven features shipped per year

• Own hiring across your team: sourcing, interviewing, onboarding, and ongoing development

Key Requirements

• Hands-on software engineering and leadership experience

• Hands-on background in Java and distributed systems; comfortable reviewing architecture and code when needed

• Proven experience managing platform or communications infrastructure at scale in a microservices, cloud-native environment

• Strong AI-First approach and working knowledge of AWS or GCP; familiarity with Kubernetes, Terraform, and messaging systems (Kafka, RabbitMQ)

• Experience leading geographically distributed teams across time zones

• Demonstrated ability to manage ambiguity, balance competing priorities, and deliver in fast-moving environments

• Track record of performance management, career development, and team building

Nice to Have

• Familiarity with Ruby, Node.js, or React in addition to Java

• Experience with email/push/SMS communication platforms or subscription management systems

• Exposure to AI/ML integration in production systems

• Background in marketing technology or customer engagement platforms

What Success Looks Like

• 30 days: You understand the platforms, team dynamics, key stakeholders, and top 3 risks. You've had 1:1s with every direct report and flagged immediate delivery blockers.

• 60 days: You've taken ownership of sprint planning, are running team rituals effectively, and have a clear view of the technical debt backlog with a prioritization proposal.

• 90 days: You've shipped at least one meaningful improvement, established clear performance baselines, and have a 12-month roadmap draft aligned with business goals.

We Are Interested In

• Leaders who make decisions anchored in customer and business outcomes 

• Managers who build autonomy in their teams rather than creating dependency on themselves

• Engineers who treat AI as a tool, not a trend 

• People who can hold quality standards in a messy, fast-moving environment without slowing everything down

• Communicators who can translate complexity for non-technical stakeholders without dumbing it down

#LI-KH1 #LI-Hybrid.

##LI-KH1 and #LI-Hybrid.

Engineering Manager (Platform Team)

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

Role Summary

We are seeking a highly experienced leader to fill the role of Engineering Manager in the Platform Foundations AWS team. This critical role involves providing direct management and technical guidance to engineering teams and driving the technical strategy for the core infrastructure layer, which is focused on our AWS environment.

As the Engineering Manager, you will be accountable for the resilience, compliance, scalability, and cost efficiency of the foundational platform within AWS, encompassing Cloud Infrastructure, Networking, Observability, and fundamental CI/CD capabilities.

You must have experience in a highly regulated environment and be prepared to manage the engineering relationship with internal and external audit bodies for your area of ownership. You will play a crucial role in enabling Ebury's global expansion, including the integration of infrastructure for new subsidiaries and M&A activities.

Key Responsibilities

Technical Leadership and Execution

• Own the technical roadmap and vision (6-12 month scope) for your team, covering AWS infrastructure, networking, and foundational tooling.
• Lead the strategic direction for AWS cloud operations and infrastructure automation, ensuring consistency, security, and maximum cost efficiency across the platform.
• Be accountable for the reliability, availability, security, and scalability of core infrastructure components owned by your team.
• Drive the technical implementation for global platform integration within AWS, specifically supporting new subsidiaries and M&A activities by applying standardized infrastructure provisioning and best practices.
• Serve as a key technical mentor and authority within the domain, coaching engineers on complex architectural decisions and best practices.

Delivery Management and Operations

• Oversee and provide direction to the engineering team(s) responsible for the AWS-focused team.
• Be responsible for your team's delivery, including planning sprints and overseeing project health, balancing team capacity with roadmap demands.
• Ensure alignment between your team's roadmap and the needs of the wider organization.
• Establish and monitor team-level KPIs related to system uptime, security posture, cost of infrastructure, and delivery velocity.
• Be accountable for the operational costs within your scope, driving cost-saving initiatives through technology choices and platform optimization.
• Ensure all systems have appropriate support, SLAs, on-call rotas, and documentation.

People Management and Growth

• Directly manage, mentor, and coach engineers and Tech Leads within your team, focusing on their career growth, performance, and technical development.
• Be responsible for managing the team's performance and well-being, initiating corrective actions when needed.
• Support the definition and implementation of the team’s hiring strategy by actively managing recruitment pipelines to attract and retain high-performing infrastructure and platform engineers.
• Foster a strong culture of ownership, operational excellence, and continuous improvement within your squad.

Qualifications

• 3+ years of Engineering Management experience (focused on direct team leadership).
• Mandatory experience working in a highly regulated industry (e.g., FinTech, Finance, Healthcare…), with a deep understanding of compliance frameworks and security requirements.
• Proven track record of successfully managing internal and external audit processes that impact core technology platforms.
• Deep strategic and hands-on expertise with large-scale AWS infrastructure.
• Expert understanding of Kubernetes and Containerization, Infrastructure-as-Code (e.g., Terraform), and modern CI/CD practices across different environments.
• Demonstrated experience in driving significant initiatives in Observability, Platform Security (IAM, Network Security), and Infrastructure Cost Management.
• Exceptional communication, stakeholder management, and influencing skills, with the ability to articulate complex technical strategies to engineering leadership.

What We Offer

• Competitive salary and benefits package.
• Discretionary bonus based on performance.
• Being part of a dynamic environment with global exposure and high strategic impact.
• Continued personal development through training, certification, and mentorship.

#LI-AT1

Engineering Manager (Platform Team)

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

Role Summary

We are seeking a highly experienced leader to fill the role of Engineering Manager in the Platform Foundations AWS team. This critical role involves providing direct management and technical guidance to engineering teams and driving the technical strategy for the core infrastructure layer, which is focused on our AWS environment.

As the Engineering Manager, you will be accountable for the resilience, compliance, scalability, and cost efficiency of the foundational platform within AWS, encompassing Cloud Infrastructure, Networking, Observability, and fundamental CI/CD capabilities.

You must have experience in a highly regulated environment and be prepared to manage the engineering relationship with internal and external audit bodies for your area of ownership. You will play a crucial role in enabling Ebury's global expansion, including the integration of infrastructure for new subsidiaries and M&A activities.

Key Responsibilities

Technical Leadership and Execution

• Own the technical roadmap and vision (6-12 month scope) for your team, covering AWS infrastructure, networking, and foundational tooling.
• Lead the strategic direction for AWS cloud operations and infrastructure automation, ensuring consistency, security, and maximum cost efficiency across the platform.
• Be accountable for the reliability, availability, security, and scalability of core infrastructure components owned by your team.
• Drive the technical implementation for global platform integration within AWS, specifically supporting new subsidiaries and M&A activities by applying standardized infrastructure provisioning and best practices.
• Serve as a key technical mentor and authority within the domain, coaching engineers on complex architectural decisions and best practices.

Delivery Management and Operations

• Oversee and provide direction to the engineering team(s) responsible for the AWS-focused team.
• Be responsible for your team's delivery, including planning sprints and overseeing project health, balancing team capacity with roadmap demands.
• Ensure alignment between your team's roadmap and the needs of the wider organization.
• Establish and monitor team-level KPIs related to system uptime, security posture, cost of infrastructure, and delivery velocity.
• Be accountable for the operational costs within your scope, driving cost-saving initiatives through technology choices and platform optimization.
• Ensure all systems have appropriate support, SLAs, on-call rotas, and documentation.

People Management and Growth

• Directly manage, mentor, and coach engineers and Tech Leads within your team, focusing on their career growth, performance, and technical development.
• Be responsible for managing the team's performance and well-being, initiating corrective actions when needed.
• Support the definition and implementation of the team’s hiring strategy by actively managing recruitment pipelines to attract and retain high-performing infrastructure and platform engineers.
• Foster a strong culture of ownership, operational excellence, and continuous improvement within your squad.

Qualifications

• 3+ years of Engineering Management experience (focused on direct team leadership).
• Mandatory experience working in a highly regulated industry (e.g., FinTech, Finance, Healthcare…), with a deep understanding of compliance frameworks and security requirements.
• Proven track record of successfully managing internal and external audit processes that impact core technology platforms.
• Deep strategic and hands-on expertise with large-scale AWS infrastructure.
• Expert understanding of Kubernetes and Containerization, Infrastructure-as-Code (e.g., Terraform), and modern CI/CD practices across different environments.
• Demonstrated experience in driving significant initiatives in Observability, Platform Security (IAM, Network Security), and Infrastructure Cost Management.
• Exceptional communication, stakeholder management, and influencing skills, with the ability to articulate complex technical strategies to engineering leadership.

What We Offer

• Competitive salary and benefits package.
• Discretionary bonus based on performance.
• Being part of a dynamic environment with global exposure and high strategic impact.
• Continued personal development through training, certification, and mentorship.

#LI-AT1

The Team:

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

The Role:

Our support engineers are highly-trained experts focused on diagnosing and resolving technical and product-related issues across the Celonis Product Suite. You will serve as the crucial interface between our global customers, partners and our internal Value Engineering & Delivery, Development, and Product Management organizations. We’re looking for someone eager to become a deep technical expert in Celonis infrastructure and software and contribute to a SaaS-based, customer value-focused environment.

The work you’ll do:

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

• Provide 2nd Level technical support for customer issues across Celonis Systems & Products. 
• Serve as a Technical Contact for Premier Customers.
• Take ownership of complex cases - accepting, qualifying, driving, and resolving them according to ITSM processes and KPI adherence.
• As a core function, perform analysis, diagnosis, and recovery of complex technical issues, often requiring direct engagement with customers and internal Product and Engineering teams.
• Participate in Root Cause Analysis (RCA) cycles to improve the team's support Knowledge Base.
• Contribute actively to Continual Service Improvement (CSI) cycles and initiatives including Knowledge Centred Service (KCS)
• Prepare and deliver Webcasts on selected technical topics to customers and internal support staff.
• Participate in an on-call schedule to ensure continuous global coverage.

The qualifications you need:

• Education: Bachelor of Computer Science, Engineering, or a related degree in the field of IT.
• Experience: Minimum 3 years of proven Technical Support experience handling complex technical issues and international customer inquiries whilst adhering to Service Level Agreements.
• Certification: ITIL v3 Foundation Certification; additional ITIL certification is a plus.
• Cloud Technologies: AWS or Azure certification and/or working experience in a mid to large sized Kubernetes / containerised environment.
• Systems Administration: Proven experience with heterogeneous Linux/Unix systems.
• Coding Skills: Proficient in at least one programming language (e.g., Java) or a scripting language (e.g., Python).
• Databases: Experience with major database systems (e.g., SAP HANA, Oracle, MS SQL Server).
• Problem Solving: Goal-oriented, independent, and structured approach to the analysis and solution of complex problems in virtual and cloud-based environments.

The Team:

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

The Role:

Our support engineers are highly-trained experts focused on diagnosing and resolving technical and product-related issues across the Celonis Product Suite. You will serve as the crucial interface between our global customers, partners and our internal Value Engineering & Delivery, Development, and Product Management organizations. We’re looking for someone eager to become a deep technical expert in Celonis infrastructure and software and contribute to a SaaS-based, customer value-focused environment.

The work you’ll do:

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

• Provide 2nd Level technical support for customer issues across Celonis Systems & Products. 
• Serve as a Technical Contact for Premier Customers.
• Take ownership of complex cases - accepting, qualifying, driving, and resolving them according to ITSM processes and KPI adherence.
• As a core function, perform analysis, diagnosis, and recovery of complex technical issues, often requiring direct engagement with customers and internal Product and Engineering teams.
• Participate in Root Cause Analysis (RCA) cycles to improve the team's support Knowledge Base.
• Contribute actively to Continual Service Improvement (CSI) cycles and initiatives including Knowledge Centred Service (KCS)
• Prepare and deliver Webcasts on selected technical topics to customers and internal support staff.
• Participate in an on-call schedule to ensure continuous global coverage.

The qualifications you need:

• Education: Bachelor of Computer Science, Engineering, or a related degree in the field of IT.
• Experience: Minimum 3 years of proven Technical Support experience handling complex technical issues and international customer inquiries whilst adhering to Service Level Agreements.
• Certification: ITIL v3 Foundation Certification; additional ITIL certification is a plus.
• Cloud Technologies: AWS or Azure certification and/or working experience in a mid to large sized Kubernetes / containerised environment.
• Systems Administration: Proven experience with heterogeneous Linux/Unix systems.
• Coding Skills: Proficient in at least one programming language (e.g., Java) or a scripting language (e.g., Python).
• Databases: Experience with major database systems (e.g., SAP HANA, Oracle, MS SQL Server).
• Problem Solving: Goal-oriented, independent, and structured approach to the analysis and solution of complex problems in virtual and cloud-based environments.

The job in short

Join the banking revolution! As the global leader in Engagement Banking, Backbase is at the forefront of revolutionizing banking services through technology. We are looking for a skilled Platform Engineer to join our Wealth Team, where we build the next generation of digital investment solutions.

In this role, you will be the backbone of our software delivery, ensuring that our Investment applications are deployed and managed under the highest professional standards of Cloud Ops. You will bridge the gap between software development and operations, focusing on Resilience, Availability, and Scalability to provide a seamless experience for our banking customers.

Meet the job

●Ensure the availability and reliability of the managed hosting service we provide to our customers;
●Ensure that the solution always runs in a compliant, secure and cost-effective way;
●Participate in our on-call pool and help to ensure maximum reliability, high availability and uptime;
●Help foster a culture of continuous learning and improvement;
●Troubleshoot and resolve infrastructure-related issues, ensuring resilience, availability and scalability within Wealth Domain;
●Contribute to increasing operational efficiency and helping to bring overall cloud cost under control.

How about you?

• You are proficient with tools and tech like Helm Charts, Kubernetes, Istio, ArgoCD, Github/GHA;
• Experience with Monitoring and Observability, particularly the Grafana stack and OpenTelemetry (OTEL), is desirable.
• You have an understanding of cloud infrastructure security, cloud-native technologies, and desired state configuration;
• You have strong communication skills allowing you to drive initiatives and decisions inside and outside your team;
• You have at least 5 years of experience in system engineering including at least 3 years of working with the aforementioned technologies;
• You combine technical excellence with mentorship skills, and provide your peers with hands-on guidance and collaborative problem-solving;
• You are focused on automation-first. Not content with anything manual, your goal is to make every process predictable and automated;
• You have knowledge of designing and implementing scalable, highly-available cloud infrastructure;
• Knowledge of Python stack is a plus;
• You have good English communication skills to collaborate with international teams.

The Team

The Team is part of Orchestration Engine & Actions organization mainly focused on data and built-in actions.  The Orchestration Engine & Actions organization is dedicated to building scalable, reliable, and high-performance solutions that power critical operational workflows. Our team focuses on developing features that enable seamless execution of operational use cases, ensuring efficiency, automation, and flexibility for our customers. We work closely with cross-functional teams to drive innovation and deliver impactful solutions that enhance the overall orchestration experience.

The Role

As a (Staff/-/Senior) Full Stack Software Engineer, you will play a key role in designing, building, and maintaining high-quality, scalable software solutions across the stack. You’ll contribute to both frontend and backend systems, ensuring seamless integration, performance, and reliability. You will collaborate closely with product managers, designers, and other engineers to translate business requirements into effective technical solutions that deliver exceptional user experiences.

Your experience in modern software development practices, code quality, and system design will help drive the team toward technical excellence. You’ll also mentor junior engineers, share best practices, and contribute to continuous improvement in engineering standards and workflows.

Key Responsibilities

• Design, develop, and maintain scalable, high-quality software solutions across the frontend and backend.
• Collaborate with product managers, designers, and cross-functional teams to translate business requirements into technical implementations.
• Ensure system reliability, security, and performance through thoughtful design and testing.
• Write clean, maintainable, and efficient code following best practices and coding standards.
• Participate in code reviews to ensure code quality, knowledge sharing, and adherence to architectural guidelines.
• Contribute to system architecture discussions and help shape technical direction within the team.
• Mentor and support junior engineers, fostering a culture of learning and technical excellence.
• Troubleshoot, debug, and optimize existing systems to improve performance and user experience..

Qualifications

• 5+ years of professional experience developing and maintaining full-stack applications.
• Strong proficiency in one or more backend languages (Java and TypeScript/NodeJs or others).
• Solid experience with modern frontend frameworks (Angular and/or React).
• Familiarity with RESTful APIs and microservices architectures.
• Experience with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB).
• Understanding of cloud environments and deployment tools (e.g., AWS, Docker, Kubernetes, CI/CD pipelines).
• Proven ability to write well-tested, maintainable, and scalable code.
• Excellent problem-solving skills, attention to detail, and a collaborative mindset.
• Strong communication skills and ability to work effectively in cross-functional teams.

About you:

We are looking for a Graduate Software Engineer to join our Backend team. This role is designed for recent graduates or final-year students who want to start their professional career in software engineering and grow fast in a real production environment. This is not an internship. It’s a full-time opportunity for people at the beginning of their career who are passionate about software development, eager to learn, and excited to work on real systems used by millions of users.

If you care about writing clean code, understanding why things work, and improving step by step — you’ll feel at home here.

What are we looking for?

Someone who:

• Is looking for their first professional experience as a software engineer
• Cares about code quality, best practices and learning things the right way
• Is curious, proactive, and enjoys solving problems
• Is comfortable learning by doing, receiving feedback, and iterating
• Can’t imagine a system without version control, testing, and CI/CD (even if you’re still learning how they work)

If you’re smart, motivated, full of energy, and want to grow in a fast-paced engineering environment — we’re in sync.

What do we offer?

• A 6-month full-time placement (with the possibility to extend another 6 months) —and if things go great, a permanent contract afterwards.
• Opportunity to have a real impact in a high-growth global category leader
• Compensation up to €24,000 per year for full-time.
• The first 6 months located at our offices in 📍 Madrid or 📍Barcelona.
• Compatibility with other university excellence scholarships.
• English / Spanish classes to support your growth.
• A 40% discount on all Fever plans.
• Be part of a mission-driven tech company that’s transforming how millions discover live entertainment every month.

Who are we looking for?

• You are a recent graduate (Bachelor or Master) in Engineering, Computer Science, or a related field — or in your final year of studies
• You are looking for your first full-time role in software engineering
• You have a solid foundation in programming and software fundamentals
• You are motivated to learn modern backend development in a real production environment

We use these technologies, so it would be a plus if you have experience in:

• Python / Java
• Knowledge of relational databases and SQL
• Redis
• Celery with RabbitMQ
• Experience working on agile methodology
• AWS, Docker and Kubernetes
• Strong knowledge on good practices, testing and design patterns
• Experience with RESTful APIs (implementation and consumption)

🚀 Launch Your Tech Career with the “Beca de Excelencia Fever” in Software Engineering

There is a belief that only Silicon Valley can create global technology leaders and that the best career opportunities are outside our borders. But Fever was born with the opposite belief: Spain has world-class talent, and from Spain you can build a global tech leader.

That’s why the “Beca de Excelencia” was created: to support and retain exceptional talent and accelerate the careers of future top engineers.

Our goal is to offer students the opportunity to start their professional career in a high-performing engineering team, surrounded by international professionals, an entrepreneurial mindset, and leaders in their respective fields.

Get all the information about the program in becasexcelencia.com

Why join us?

Because you won’t just be an intern — you’ll be a full member of the engineering team in a global tech company.

Fever has already found product-market fit and reached break-even, and we are now in a stage of strong execution and scaling. That means real challenges, real impact, and real ownership.

You’ll work alongside experienced engineers in software, product, data, growth and operations, on projects that impact millions of users. At Fever, Software Engineers have a high level of ownership. That means you will be involved end-to-end, from understanding the problem and designing the solution, to coding, deploying to production and monitoring performance. 

Engineering at Fever

As a Software Engineer at Fever, you will have real ownership from day one. Engineers are responsible end-to-end: understanding the problem, designing the solution, implementing it, deploying it to production and monitoring its performance.

We build scalable systems using a distributed services architecture, applying best practices such as Domain-Driven Design and clean architecture principles.

Tech environment

While this is a graduate program, you will be working with modern production systems and technologies used at scale.

Our core stack includes:

• Backend: Python (Django / FastAPI)
• Frontend: TypeScript with Angular
• Infrastructure: AWS, Docker and Kubernetes
• Architecture: REST APIs and event-driven systems

We focus on building reliable, scalable software used by millions of users worldwide.

What do we offer?

• A 6-month full-time placement (with the possibility to extend another 6 months) —and if things go great, a permanent contract afterwards.
• Compensation up to €24,000 per year for full-time.
• The first 6 months located at our offices in 📍 Madrid or 📍Barcelona.
• Compatibility with other university excellence scholarships.
• English classes to support your growth.
• A 40% discount on all Fever plans.
• Flexible remuneration with Cobee, gympass and private medical insurance. 
• Be part of a mission-driven tech company that’s transforming how millions discover live entertainment every month.

Who are we looking for?

• You’re in your final year of an engineering degree or you’ve just graduated (any engineering discipline).
• Your academic record is outstanding — you’re in the top 10% of your cohort.
• You’re excited about software development, tech solutions and building products that scale.
• You thrive in high-performance environments and have the skills and mindset to hit the ground running.

Software Engineer (Enabling Teams)

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

At JetBrains, we’re building an AI-native platform for software development that connects developer workflows, team-level collaboration, and organizational control into a single coherent system. This platform will serve as the execution and governance layer for AI-driven development, deeply integrated with developer tools but designed to work across teams, products, and environments. This is a long-term strategic investment for JetBrains and a key pillar of our vision for the future of software development.

The role

We are looking for a Software Architect (Platform Architecture) to shape the core technical foundations of JetBrains Cloud Platform from the ground up.

This role focuses on the architecture of shared platform capabilities: cross-product services, infrastructure abstractions, integration standards, scalability and reliability principles, and operational foundations (such as security, governance, observability, and cost controls). As this is a new platform, many standards and processes are still works in progress – you will actively influence what good quality looks like and help teams build toward it.

As part of the team, you will:

• Design and evolve the architecture of a cross-product platform that serves as the foundation for AI-driven software development.
• Define architectural principles, standards, and guidelines for platform services and shared foundations.
• Design integration patterns and interfaces between platform services, developer tools, and external systems.
• Ensure architectural decisions support scalability, reliability, security, and observability from the outset.
• Own and drive key platform-level architectural decisions and trade-offs (e.g., service boundaries, data flows, identity, policy, and tenancy).
• Review and validate architectural designs across teams to ensure consistency and long-term sustainability.
• Collaborate with other architects and platform specialists to align on shared decisions and evolve the platform architecture over time.
• Work closely with senior and staff engineers to translate platform requirements into coherent technical designs and implementation plans.
  
  

We are looking for someone who:

• Has strong experience in software engineering and system design, especially in complex, distributed systems.
• Has experience defining or significantly shaping the architecture of new platforms or large-scale systems.
• Is able to facilitate and align architectural decisions across multiple teams, balancing different perspectives and constraints.
• Is comfortable working in an environment where many processes and standards are still not fully established.
• Is motivated by long-term goals and prefers building foundations over delivering short-term features.
  
  

We’d be particularly thrilled if you:

• Have hands-on experience designing or evolving platforms based on Kubernetes and cloud environments such as AWS.
• Have experience with networking, compute, and storage infrastructure and can reason across application and infrastructure layers.
• Enjoy helping teams converge on good solutions rather than enforcing a single “correct” approach.

Why join JetBrains?

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

*Some benefits may vary depending on location.

#LI-DNI

#LI-DNI

At JetBrains, we’re building an AI-native platform for software development that connects developer workflows, team-level collaboration, and organizational control into a single coherent system. This platform will serve as the execution and governance layer for AI-driven development, deeply integrated with developer tools but designed to work across teams, products, and environments. This is a long-term strategic investment for JetBrains and a key pillar of our vision for the future of software development.

The role

We are looking for a Software Architect (Platform Architecture) to shape the core technical foundations of JetBrains Cloud Platform from the ground up.

This role focuses on the architecture of shared platform capabilities: cross-product services, infrastructure abstractions, integration standards, scalability and reliability principles, and operational foundations (such as security, governance, observability, and cost controls). As this is a new platform, many standards and processes are still works in progress – you will actively influence what good quality looks like and help teams build toward it.

As part of the team, you will:

• Design and evolve the architecture of a cross-product platform that serves as the foundation for AI-driven software development.
• Define architectural principles, standards, and guidelines for platform services and shared foundations.
• Design integration patterns and interfaces between platform services, developer tools, and external systems.
• Ensure architectural decisions support scalability, reliability, security, and observability from the outset.
• Own and drive key platform-level architectural decisions and trade-offs (e.g., service boundaries, data flows, identity, policy, and tenancy).
• Review and validate architectural designs across teams to ensure consistency and long-term sustainability.
• Collaborate with other architects and platform specialists to align on shared decisions and evolve the platform architecture over time.
• Work closely with senior and staff engineers to translate platform requirements into coherent technical designs and implementation plans.
  
  

We are looking for someone who:

• Has strong experience in software engineering and system design, especially in complex, distributed systems.
• Has experience defining or significantly shaping the architecture of new platforms or large-scale systems.
• Is able to facilitate and align architectural decisions across multiple teams, balancing different perspectives and constraints.
• Is comfortable working in an environment where many processes and standards are still not fully established.
• Is motivated by long-term goals and prefers building foundations over delivering short-term features.
  
  

We’d be particularly thrilled if you:

• Have hands-on experience designing or evolving platforms based on Kubernetes and cloud environments such as AWS.
• Have experience with networking, compute, and storage infrastructure and can reason across application and infrastructure layers.
• Enjoy helping teams converge on good solutions rather than enforcing a single “correct” approach.

Why join JetBrains?

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

*Some benefits may vary depending on location.

#LI-DNI

#LI-DNI

At JetBrains, we’re building an AI-native platform for software development that connects developer workflows, team-level collaboration, and organizational control into a single coherent system. This platform will serve as the execution and governance layer for AI-driven development, deeply integrated with developer tools but designed to work across teams, products, and environments. This is a long-term strategic investment for JetBrains and a key pillar of our vision for the future of software development.

The role

We are looking for a Software Architect (Platform Architecture) to shape the core technical foundations of JetBrains Cloud Platform from the ground up.

This role focuses on the architecture of shared platform capabilities: cross-product services, infrastructure abstractions, integration standards, scalability and reliability principles, and operational foundations (such as security, governance, observability, and cost controls). As this is a new platform, many standards and processes are still works in progress – you will actively influence what good quality looks like and help teams build toward it.

As part of the team, you will:

• Design and evolve the architecture of a cross-product platform that serves as the foundation for AI-driven software development.
• Define architectural principles, standards, and guidelines for platform services and shared foundations.
• Design integration patterns and interfaces between platform services, developer tools, and external systems.
• Ensure architectural decisions support scalability, reliability, security, and observability from the outset.
• Own and drive key platform-level architectural decisions and trade-offs (e.g., service boundaries, data flows, identity, policy, and tenancy).
• Review and validate architectural designs across teams to ensure consistency and long-term sustainability.
• Collaborate with other architects and platform specialists to align on shared decisions and evolve the platform architecture over time.
• Work closely with senior and staff engineers to translate platform requirements into coherent technical designs and implementation plans.
  
  

We are looking for someone who:

• Has strong experience in software engineering and system design, especially in complex, distributed systems.
• Has experience defining or significantly shaping the architecture of new platforms or large-scale systems.
• Is able to facilitate and align architectural decisions across multiple teams, balancing different perspectives and constraints.
• Is comfortable working in an environment where many processes and standards are still not fully established.
• Is motivated by long-term goals and prefers building foundations over delivering short-term features.
  
  

We’d be particularly thrilled if you:

• Have hands-on experience designing or evolving platforms based on Kubernetes and cloud environments such as AWS.
• Have experience with networking, compute, and storage infrastructure and can reason across application and infrastructure layers.
• Enjoy helping teams converge on good solutions rather than enforcing a single “correct” approach.

Why join JetBrains?

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

*Some benefits may vary depending on location.

#LI-DNI

#LI-DNI

Kineto is a next-generation platform that enables creators, educators, and small businesses to generate, deploy, and operate fully functional AI-powered web applications – instantly and at scale. It combines LLM-driven code generation, multi-tenant Postgres (Neon), dynamic hosting (GKE and Knative), automated deployments (Flux), analytics, billing, and a seamless chat-based UX to make software creation accessible to everyone. Our team is growing rapidly, and we’re now seeking an experienced Infrastructure Engineer who can design, build, and maintain our cloud-native platform, with a focus on scalability, reliability, and automated operations.

What you’ll do:

Cloud and platform engineering (DevOps):

• Design, implement, and manage the core infrastructure powering Kineto's platform on Google Cloud Platform (GCP), including networking, security, and identity management.
• Build and operate resilient, highly available distributed systems using Kubernetes (GKE), Knative, Istio, and related cloud-native technologies.
• Automate the entire infrastructure life cycle (IaC) using Terraform and Terragrunt, ensuring secure, reproducible, and auditable environments.
• Implement and maintain CI/CD pipelines (e.g. GitHub Actions and TeamCity) and deployment tools like Flux and Helm for GitOps-driven application delivery.
• Optimize and manage the multi-tenant data layer on Postgres and Neon, focusing on robust tenant isolation, performance, backups, and safe schema management.

Operational excellence and reliability:

• Drive site reliability engineering (SRE) practices, including monitoring, alerting (Prometheus, Grafana), logging (Loki), and incident response.
• Solve complex operational challenges, such as optimizing scale to zero for cost efficiency, minimizing cold starts, enhancing autoscaling behavior, and managing queue backpressure.
• Implement platform-wide performance tuning (e.g. container resource limits, distributed locks, caching strategies, and GC configurations).
• Ensure platform security and compliance by implementing best practices for secrets management, network segmentation, and vulnerability scanning.

Technical leadership:

• Own major infrastructure roadmap items, including multi-region deployments, disaster recovery planning, advanced tenancy separation, and ephemeral preview environments.
• Champion DevOps and SRE principles across the engineering team, mentoring engineers on cloud-native best practices, operational readiness, and debugging complex distributed systems.
• Collaborate with product and engineering teams to define the long-term vision for the platform's architecture and operational model.

We’d be glad to have you on our team if you:

• Have five or more years of experience building and operating large-scale, commercial cloud-native infrastructure, with a strong focus on DevOps/SRE practices.
• Possess deep, hands-on expertise with GCP (or AWS/Azure) and Kubernetes administration and operations (GKE experience is a strong plus).
• Are proficient with infrastructure-as-code (IaC) tools, particularly Terraform, for managing complex environments.
• Have a solid understanding of Linux internals, networking (CNI and service mesh), security, and distributed system design.
• Are familiar with CI/CD tools, GitOps (e.g. Flux), monitoring stacks (Prometheus/Grafana), and logging systems.
• Thrive in cross-functional teams and excel at communicating complex infrastructure ideas clearly.

#LI-YY1

At JetBrains, code is our passion. Ever since we started, back in 2000, we’ve been striving 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.

Today, AI-powered assistance and agents are becoming a core part of how developers work in our IDEs. The ML Workflows Engineering team is dedicated to removing infrastructure challenges, streamlining machine learning operations (MLOps), and enabling teams to focus on the innovative work that matters most – building impactful ML models and intelligent agents. As part of the team, you'll play a key role in designing tools, automation, and pipelines that make machine learning development seamless and intuitive.

By integrating cutting-edge MLOps practices and engineering excellence, we aim to maximize productivity and remove the complexity of ML infrastructure so that our teams can push the boundaries of what’s possible in AI.

As part of our team, you will:

• Build tools, automation, and workflows to simplify infrastructure-heavy tasks, empowering AI teams to focus on experimentation and solving core challenges.
• Develop robust monitoring, logging, and tracing systems to ensure the performance and reproducibility of ML workflows in production.
• Design, implement, and maintain end-to-end machine learning pipelines to enable the seamless development, training, and deployment of ML models and intelligent agents.
• Work with large-scale distributed systems, including GPU clusters, to support training, fine-tuning, and evaluation of ML models.
• Collaborate with product and development teams to transform high-level goals into concrete, scalable, and maintainable systems.
• Optimize workflows for reproducibility, scalability, and cost-efficiency while keeping ML teams productive and focused on innovation.

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

• Hands-on experience with modern MLOps tooling, including Kubernetes, Cloud providers (GCP and AWS), and ML orchestration frameworks.
• A solid understanding of the ML lifecycle from idea to the customer-facing application.
• The ability to own projects end to end, starting from a high-level problem or product pain point and overseeing it through the design, experimentation, implementation, and iteration phases.
• A customer-centric mindset – you care about how ML engineers are actually working and can translate their needs into actionable, scalable, and maintainable architectural decisions.
• Experience with modern CI/CD systems, like GitHub Actions or JetBrains TeamCity.
• At least three years of Python experience writing clean, maintainable code in modern ML codebases.

Our ideal candidate would have experience with:

• ML orchestrators and workflow tools such as ZenML, Dagster, and Airflow.
• Developing infrastructure components and services using cluster solutions like Kubernetes.
• The development of Python-based backend services.
• Creating and maintaining ML pipelines, including legacy ones.
• Experiment tracking and observability using tools like Weights & Biases, MLflow, Langfuse, or similar.

We’d be especially thrilled if you have experience with: 

• LLM inference frameworks such as vLLM, DeepSpeed, and TensorRT.
• Writing and maintaining Python libraries used by internal (or external) ML engineers.
• A strong theoretical background in NLP and transformer-based approaches.
• Writing code in Java and/or Kotlin.

#LI-HYBRID
#LI-MR1