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

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

Responsibilities:

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

You’d be a good fit with:

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

You’d be a great fit with: 

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

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

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

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

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

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

What You’ll Do:

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

Who You Are:

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

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

Benefits and Growth:

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

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

#LI-Hybrid

Responsibilities

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

In this role, you will also be responsible to:

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

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

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

• Manage and provision AWS infrastructure using Terraform and Kubernetes.

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

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

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

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

Requirements

Qualifications / Experience / Technical Skills / Soft Skills

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

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

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

• Experience operating infrastructure on AWS at scale.

• Proficiency with Terraform and Kubernetes.

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

• Excellent analytical, troubleshooting, and communication skills.

Nice to Have

• Experience with Golang for tooling or internal services.

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

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

• Experience optimizing CI/CD workflows and automating deployments.

• Understanding of Vault or other secrets management systems.

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

Tech Stack

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

(REQ ID: 2736)

Position Description: 

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

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

Job Duties and Responsibilities:

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

Desired Skills:

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

#LI-JB2

#LI-HYBRID

P13995_3347092

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

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

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

What You’ll Do: 

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

Who You Are: 

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

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

Benefits and Growth: 

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

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

#LI-Hybrid

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

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

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

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

What You’ll Do:

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

Who You Are:

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

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

Benefits and Growth:

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

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

#LI-Onsite

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

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

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

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

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

As a Site Reliability Engineer, you will be:

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

You may be a fit for this role if you:

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

Projects you could work on:

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

What’s it like to work at Cabify?

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

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

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

Join us!

Opportunity for Impact

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

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

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

Role and Responsibilities

Security Engineering

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

Security Strategy & Enablement

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

Professional Qualifications

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

Technical Qualifications

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

Personal Characteristics

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

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

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

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

What You’ll Do:

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

Who You Are:

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

Bonus Points:

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

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

Benefits and Growth:

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

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

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

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

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

What You’ll Do:

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

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

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

Benefits and Growth: 

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

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

#LI-Hybrid

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

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

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

What You’ll Do: 

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

Who You Are: 

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

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

Benefits and Growth: 

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

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

#LI-Hybrid

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

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

In this role, you will:

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

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

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

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

What you’ll do:

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

Who you are:

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

Bonus Point:

• Experience with Continuous Delivery tools (i.e. ArgoCD / Argo Rollouts, Spinnaker, Octopus Deploy)
• Exposure to planning/agent frameworks, tool‑use orchestration, RAG, and retrieval/indexing for observability data
• You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

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

Benefits and Growth: 

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

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

#LI-Hybrid

The Data Science team designs and builds algorithmically driven features in the Datadog app. We work across a range of applications, primarily focusing on analysis on streaming data such as anomaly detection, error outliers and faulty deployment analysis. As a Software Engineer on the Data Science team, you will design, build and scale the backend systems that power our growing suite of Watchdog products. You will be working on large-scale distributed systems, horizontally-scalable datastores and a variety of data-processing frameworks to build our next-generation platform and capabilities for Data Science at Datadog. 

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

What You’ll Do: 

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

Who You Are: 

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

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

Benefits and Growth: 

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

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

#LI-ER1

#LI-Hybrid

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

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

What You’ll Do:

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

Who You Are:

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

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

Benefits and Growth:

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

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

#LI-Remote

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

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

What You’ll Do:

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

Who You Are:

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

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

Benefits and Growth:

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

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

#LI-Hybrid

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

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

What You’ll Do:

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

Who You Are:

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

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

Benefits and Growth:

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

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

#LI-Hybrid

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

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

What You’ll Do:

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

Who You Are:

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

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

Benefits and Growth:

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

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

#LI-Remote

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

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

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

What You’ll Do:

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

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

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

Benefits and Growth: 

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

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

#LI-Hybrid

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

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

What You’ll Do:

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

Who You Are:

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

Bonus Point:

• Excited to work in the security domain, with an understanding of how analysts investigate threats and alerts
• Fluency with offline/online evals for AI systems; can build reliable golden sets and automatic regressions
• Experience scaling products in a high-growth SaaS environment
• You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

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

Benefits and Growth: 

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

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

#LI-Hybrid

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

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

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

What You’ll Do:

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

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

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

Benefits and Growth: 

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

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

#LI-Hybrid

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

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

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

What You’ll Do:

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

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

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

Benefits and Growth: 

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

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

#LI-Hybrid

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 Role:

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

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

The Work You'll Do:

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

The Qualifications You'll Need:

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

About the Role:  

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

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

What You’ll Do: 

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

What You’ll Bring: 

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

What You’ll Get: 

Veeam offers benefits that support your whole self: 

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

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

#LI-DF1 #LI-REMOTE

About the Role:  

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

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

What You’ll Do: 

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

What You’ll Bring: 

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

What You’ll Get: 

Veeam offers benefits that support your whole self: 

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

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

#LI-DF1 #LI-REMOTE

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

 In this role, you will also be responsible to:

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

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

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

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

• Contribute in all phases of the development lifecycle.

• Provide code reviews to your teammates.

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

• Evaluate and propose improvements to existing systems.

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

• Help maintain code quality, organization and automatization.

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

Requirements

Qualifications / Experience / Technical Skills

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

• Excellent understanding of distributed systems patterns and algorithms.

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

• Excellent understanding of network protocols and stacks.

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

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

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

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

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

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

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

Optional

• Background in GOlang, Rust, WASM.

• Background in network programming.

• Background in Kotlin/Multiplatform. 

• Background in application, data security.

• Deep knowledge of physical DB design.

• Experience of working with Docker and other isolation technologies.

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

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

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

Soft Skills / Personal Characteristics

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

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

(REQ ID: 2343)

Responsibilities

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

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

• Scaling observability infrastructure across multiple data centers and Kubernetes clusters

• Owning logging pipeline architecture and refactoring efforts

• Improving distributed tracing coverage and driving adoption across engineering teams

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

• Automating operational tasks to reduce toil and improve system stability

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

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

Requirements

Core technical experience:

• 8+ years of industry experience

• Solid hands-on production experience with observability systems

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

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

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

• Experience with Kubernetes cluster lifecycle management (EKS preferred)

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

Nice to have  

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

• Familiarity with AI-assisted tooling selection and workflow integration

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

• Background in cloud account or environment migrations

• Experience preparing infrastructure for compliance/audit processes

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

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

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

Soft Skills / Personal Characteristics

• Good communication and collaboration skills in international technological companies.

• Interest in modern big distributed storage technologies, architectures.

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

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

(REQ ID: 2640)

Responsibilities

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

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

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

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

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

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

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

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

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

• Document development processes and best practices.

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

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

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

Requirements

Qualifications / Experience / Technical Skills

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

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

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

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

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

• Strong understanding of networking fundamentals and web services architecture.

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

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

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

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

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

(REQ ID: 2718)

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

Responsibilities

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

• Contribute in all phases of the development lifecycle

• Write well designed, testable, efficient code

• Evaluate and propose improvements to existing system

Requirements

• 5+ years of industry experience

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

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

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

• Good understanding of Linux networking and security

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

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

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

• Understanding of Kubernetes concepts

• Excellent debugging and optimization skills

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

• Contributions to open source projects is a plus

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

• Attention to detail and ability to solve complex customer problems

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

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

Responsibilities

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

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

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

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

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

• Contribute in all phases of the development lifecycle.

• Provide code reviews to your teammates.

• Evaluate and propose improvements to existing system.

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

• Help maintain code quality, organization and automatization. 

Requirements

Qualifications / Experience / Technical Skills

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

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

• Good understanding of network protocols and stacks.

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

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

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

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

Can be a plus

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

• Experience in building/deploying data processing pipelines.

Soft Skills / Personal Characteristics

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

Job Req ID: 2314

Responsibilities

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

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

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

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

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

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

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

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

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

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

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

Example Projects

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

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

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

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

Requirements

Qualifications / Experience / Technical Skills

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

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

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

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

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

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

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

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

Preferred Skills

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

• Background in developer platforms or AI infrastructure services.

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

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

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

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

Soft Skills / Personal Characteristics

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

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

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

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

(REQ ID: 2459)

Responsibilities

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

• Build complex Ruby on Rails applications.

• Build server side infrastructure for Workato user interface.

• Contribute in all phases of the development lifecycle

• Write well designed, testable, efficient code.

• Evaluate and propose improvements to existing system.

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

Requirements

Qualifications / Experience / Technical Skills

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

• Vast knowledge of Ruby

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

• Solid knowledge of object-oriented programming and design

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

• Solid knowledge of object-oriented programming and design

• Contributions to open source projects is a plus

Soft Skills / Personal Characteristics

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

(REQ ID: 2380)

The Challenge

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

Your Mission

As a Senior Security Engineer, you will:

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

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

• Assist with the investigation and remediation of security incidents.

• Serve as a Security SME for secure cloud infrastructure.

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

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

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

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

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

• Create and maintain documentation for security projects and processes.

• Automate repetitive tasks and procedures.

• Update security documentation as threats and techniques evolve.

• Mentor security analysts and junior engineers.

You Are

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

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

• Collaborative and comfortable working across teams and with vendors.

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

• Highly organized and able to manage multiple priorities.

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

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

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

Your Experience Includes

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

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

• 3+ years of cloud experience.

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

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

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

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

• Experience with IaC tools such as Terraform or CloudFormation.

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

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

Extra Impressive

• Experience with Azure, AWS, or GCP.

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

• Experience with Azure Active Directory.

• Experience writing Splunk SPL or Microsoft KQL queries.

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

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

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

• Understanding of Zero Trust networking models.

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

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 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

Role Overview:

Netskope is seeking a high-caliber Privacy Engineering Staff Engineer to bridge the gap between legal compliance, data protection technology, and core product engineering. This is a dual-impact role: you will be responsible for the technical "Privacy by Design" controls for the Netskope platform while serving as a strategic deputy to the Global Privacy & Data Protection Officer (DPO).

As the Strategic Deputy to the Global Privacy & Data Protection Officer (DPO), you move beyond task completion to achieve high-level organizational influence.

• Global Compliance Strategy: Support the execution of a multi-jurisdictional privacy program that anticipates the rapid evolution of global data protection laws.
• Board & Audit Influence: Translate complex technical privacy risks into compelling, quantifiable narratives for the Audit Committee and Board of Directors.
• Risk Governance: Oversee the operational maturity of our privacy program within LogicGate, ensuring a closed-loop system of accountability, audit readiness, and incident response.
• DPIA & Rights Leadership: Act as the technical authority for high-risk Data Protection Impact Assessments (DPIAs) and ensure our Data Subject Rights (DSAR) engine operates at optimal efficiency.

You will be the lead privacy architect ensuring that Netskope’s innovation is inherently respectful of data.

• Component Design Review: Lead the privacy-first technical review of every new component within the Netskope platform, engaging with engineering at the "whiteboard phase" to eliminate risks before they reach production.
• PET Implementation: Direct the integration of Privacy Enhancing Technologies (PETs) such as differential privacy, homomorphic encryption, and k-anonymity into the Netskope product suite.
• AI Governance Leadership: Hold a seat on the AI Governance Committee whilst supporting the AI Ambassador program to ensure that AI innovations are built on a foundation of responsible data use.
• Technical Data Defense: Enhance DLP, DSPM, and AI/ML-driven security within our AWS and corporate environments to set the "Gold Standard" for internal data protection.

Key Responsibilities

Product Privacy Engineering & PETs

• Architectural Oversight: Review all new component designs within the Netskope platform to ensure structural compliance with "Privacy by Design" principles.
• PET Integration: Lead the design and implementation of Privacy Enhancing Technologies (PETs) such as differential privacy, homomorphic encryption, or k-anonymity within Netskope product features.
• Early Engagement: Act as a dedicated privacy consultant to product engineering teams during the ideation phase to identify and mitigate privacy risks before code is written.

Deputy Data Protection Officer (DPO) Functions

• Regulatory Support: Support the DPO in managing multi-jurisdictional compliance as the number of global privacy laws continues to rise.
• DPIA Leadership: Conduct and oversee Data Protection Impact Assessments (DPIAs) for high-risk processing activities, ensuring they meet the standard of global regulations.
• Privacy Leadership: Engagement with Netskope customers and partners on privacy and data protection concerns. Provide executive leadership to CISO, Legal and Privacy teams for some of the largest and most prestigious organizations in the world.

Technical Data Protection & AI Governance

• Advanced Controls: Utilize DLP (Data Loss Prevention) and DSPM (Data Security Posture Management) to secure the corporate data lifecycle.
• AI/ML Security: Implement data protection strategies specifically for AI/ML workloads, managing risks associated with training data and model inference.
• AI Advocacy: Serve on the AI Governance Committee and support the AI Ambassador program, fostering a culture of responsible AI use across the organization.

Platform Management

• LogicGate Administration: Manage and optimize the privacy module within LogicGate to track risks, audits, and compliance tasks.
• Netskope Corp Tenant: Take administrative responsibility of the Netskope corporate tenant’s privacy controls, ensuring our own use of the platform is a "Gold Standard" for customers.

Technical Requirements

• AWS Cloud Expertise:
• Cloud-Native Data Protection
• Infrastructure Security
• DSPM Integration.
• Software Engineering Fundamentals.
• API
• Data Architecture Knowledge
• AI/ML

Leadership Competencies & Soft Skills

• Strategic Influence: Ability to translate complex technical privacy risks into business-level impacts for the Audit Committee and Executive Leadership.
• Collaborative Engineering: Proven track record of building "security-first and privacy-first" cultures within engineering teams without slowing down the development lifecycle.
• Ethical Leadership: Strong judgment and integrity, particularly when serving on the AI Governance Committee to balance innovation with ethical data use.
• Stakeholder Management: Excellent communication skills to manage relationships with third-party vendors, legal counsel, and regulators.

Candidate Profile & Qualifications

• Experience: 5+ years in senior technical roles, preferably with a background in security engineering, privacy engineering, or data governance.

#LI-CS1

The Opportunity:

Universal DX is seeking an experienced Senior Microsoft & Identity Engineer to join our growing IT team. This role will work closely with IT leadership and cross-functional teams to support the company’s continued growth by operating and improving our Microsoft identity, security, and endpoint platforms.

You will play a key role in strengthening secure access to corporate systems, improving employee user experience, and ensuring identity, device, and access processes are reliable, compliant, and scalable. The role combines hands-on operational responsibility with a strong focus on security, risk reduction, and long-term sustainability of the IT environment.

You will be part of a team that is passionate about developing novel diagnostic tests for the early detection of cancers. As part of the team, you will be in a Company that aims more than to become one of the leaders in the industry. We want to have a huge positive impact on society by achieving the ambitious purpose of “making cancer a curable disease by detecting it earlier”.

How you’ll contribute:

· Strengthen the company’s identity and access security by operating and improving Microsoft identity and security platforms and related access controls in a reliable and scalable way.

· Improve employee user experience by simplifying access, authentication, and device onboarding across Windows and macOS environments while maintaining strong security standards.

· Reduce operational and security risks across identity, access, endpoints, and secure access platforms, supporting business continuity and growth.

· Support audit readiness, compliance, and data protection initiatives through controlled, documented, and auditable identity and device management processes.

· Partner with IT leadership to identify operational gaps and implement improvements aligned with long-term business needs.

What you’ll bring:

· Strong hands-on experience with Microsoft identity and security platforms, including Entra ID, Conditional Access, MFA, and endpoint management.

· Experience managing Apple device ecosystems using Apple Business Manager, integrated with modern endpoint and identity solutions.

· Experience working with secure access and cloud security platforms such as Netskope or equivalent technologies.

· Solid understanding of identity security, access governance, and modern security principles.

· A pragmatic, security-first mindset with the ability to balance control, usability, and operational efficiency, combined with strong communication skills.

The Job in Short

Join our Wealth Engineering team as an AI Applied Engineer where you'll design, develop, and shape our iOS investing products. Your innovative, future-ready features will impact over 100 million users globally.

What you'll do

Join Backbase in leading the charge towards a new era in banking innovation. As part of our renowned R&D department, you'll be instrumental in developing, scaling, and deploying cutting-edge software solutions to financial institutions worldwide. Collaborating closely with our talented mobile engineers, you'll help shape the future of FinTech with innovative SDKs and libraries. Let's embark on this exciting journey together as we revolutionize banking for Retail, Business, and Wealth Management clients worldwide.

• Building new features and improving existing features in our wealth mobile banking products for our clients and their end users.
• Achieving high standards through comprehensive non-functional testing, including performance, scalability, and security assessments;
• Own a set of our mobile banking components and create the one stop shop for mobile digital transformation.
• Collaborate with the Application Security team to stay on top of new tech and changes within the security domain.
• Participate in agile and scrum ceremonies while building clean, maintainable, testable and scalable code.
• Join our mobile guild which consists of 70+ mobile engineers to continuously grow your knowledge.

Who you are

Looking for a journey instead of just a job? Then let’s talk! We are THE pioneers in banking tech, and we're looking for someone with a proactive, self-driven attitude who’s ready to tackle challenges and take initiative. You will become part of a dynamic environment that influences the banking experience of hundreds of millions of users worldwide.

If you want to develop our iOS Banking Apps and scale our libraries to shape the future of banking, this role is for you. Your excellent communication skills in English—both verbal and written—will help you collaborate effectively within our global team. Experience in the banking domain will allow you to hit the ground running, and your belief in writing clean, maintainable, and scalable code will align perfectly with our commitment to quality.

• You have 4+ years of relevant working experience working on complex iOS-based products.
• You have a solid experience of working with Swift.
• You have a deep comprehension of the MVVM (via UIKit) architecture pattern.
• You have experience with Cocoapods to create new pods and manage our existing dependencies.
• You have a solid knowledge of the UIKit Auto Layout and Constraint system.
• You have deep experience using frameworks like Combine and UIKit.
• You understand how to build and use both dynamic and static frameworks.
• You have experience in writing unit tests and you understand the testing pyramid.
• You have hands-on technical experience with non-functionals such as security, performance and accessibility.

The Engineering (Tech) Team is responsible for all Feedzai product development. Together with Product Management and Data Science, we build the next generation of tools to catch fraud in real-time with a machine learning first approach. Formed by engineers and managed by engineers, at Feedzai, you will find one of the most talented teams out there, from junior to senior engineers.

We are fast-paced and provide a safe, open, and collaborative environment that encourages us to lean in, try new things and discover our potential with continuous learning for everyone.  

While building the best value for our customers, you will work with a wide range of technical challenges. Such as building distributed systems that need to operate 24/7 and ultra-low latencies, solving UI/UX problems to help fraud analysts to fight fraud more efficiently. In addition, designing extensive databases from relational, NoSQL and graphs, validate and develop new data science techniques and algorithms.

You:

You are a passionate professional with the talent to push engineering excellence, challenge the status quo, and lead by example. You excel by being a catalyst for clarity, engaging key stakeholders, and driving scalable technical solutions that align with our business goals. 

You have a critical mindset and the ability to mentor others, ensuring the team delivers high-quality, production-ready mobile software with minimal oversight. On a daily basis, you’ll have the chance to work on subjects such as High-Performance Mobile SDKs, Security, and Scalability.

Your Day to Day:

• Own the end-to-end delivery of robust SDKs, from architectural design to production-ready deployment, ensuring they scale predictably in high-stakes environments;
• Solve high-complexity technical challenges with significant autonomy, making the critical trade-offs between development speed and long-term software quality;
• Champion engineering excellence by mentoring peers and raising the bar for design reviews, code quality, and mobile best practices;
• Liaise with cross-functional stakeholders to translate customer needs into technical mobile solutions that maximize business impact and user experience;

You Have & You Know-how:

• BSc/MSc degree in Computer Science or a similar technical degree;
• 5+ years of experience in developing and delivering advanced mobile applications;
• Mastery of the Android ecosystem, from high-level app architecture in Kotlin and/or Java to low-level OS internals and security frameworks.
• Experience with Mobile CI/CD and Automation (e.g., Gitlab, Jenkins, or Bitrise) to ensure predictable, high-quality releases.
• Extreme Ownership mindset, proactively seeking context and driving tasks to completion with growing autonomy.
• We also value experience in the following topics:
• Designing and creating frameworks or SDKs for mobile applications;
• Native app writing ability for iOS environments (Swift/Objective-C);
• Knowledge in Cross-platform tools (Cordova, Xamarin, and Flutter) and Typescript;
• Good technical English communication skills. 

The Product Team builds our product to disrupt the financial crime industry from a data-led approach. We partner with our clients using a holistic lens and have result-driven solutions to manage financial risk with a cloud-first platform and a world-class UX interface. Being part of this team, you have a voice in planning, strategizing, and challenging the status quo. Your thoughts and ideas are valued. Our fast-paced and open environment encourages us to lean in, try new things, and  discover our potential. We define and act on what could be in tomorrow's world, not on what is today. Join Us!

#LI-Remote #LI-LS1

The job in short

Join our Wealth Engineering team as an AI Applied Engineer where you'll design, develop, and shape our Android investing products. Your innovative, future-ready features will impact over 100 million users globally.

What You'll do

Join Backbase in leading the charge towards a new era in banking innovation. As part of our renowned R&D department, you'll be instrumental in developing, scaling, and deploying cutting-edge software solutions to financial institutions worldwide. Collaborating closely with our talented mobile engineers, you'll help shape the future of FinTech with innovative SDKs and libraries. Let's embark on this exciting journey together as we revolutionize banking for Retail, Business, and Wealth Management clients worldwide.

• Building new features and improving existing features in our wealth mobile banking products for our clients and their end users.
• Achieving high standards through comprehensive non-functional testing, including performance, scalability, and security assessments;
• Own a set of our mobile banking components and create the one stop shop for mobile digital transformation.
• Collaborate with the Application Security team to stay on top of new tech and changes within the security domain.
• Participate in agile and scrum ceremonies while building clean, maintainable, testable and scalable code.
• Join our mobile guild which consists of 70+ mobile engineers to continuously grow your knowledge.

Who you are

Looking for a journey instead of just a job? Then let’s talk! We are THE pioneers in banking tech, and we're looking for someone with a proactive, self-driven attitude who’s ready to tackle challenges and take initiative. You will become part of a dynamic environment that influences the banking experience of hundreds of millions of users worldwide.

If you want to develop our Android Banking Apps and scale our libraries to shape the future of banking, this role is for you. Your excellent communication skills in English—both verbal and written—will help you collaborate effectively within our global team. Experience in the banking domain will allow you to hit the ground running, and your belief in writing clean, maintainable, and scalable code will align perfectly with our commitment to quality.

• You have 4+ years of relevant working experience working on complex Android-based products;
• You have a solid experience of working with both Kotlin and Java.
• You have a deep comprehension of MVVM as well as strong understanding of design patterns (eg: Creational, Structural & Behavioural).
• You have experience of working with Jetpack, Retrofit or OkHttp, Coroutines, Flow, and Channels.
• You have a solid knowledge of Dependency injection design patterns.
• You have experience in writing unit tests with JUnit and you understand the testing pyramid.
• You are familiar with CD/CI practices and understand core concepts such as Data Structures, Algorithms and System Design.
• You have hands-on experience with RESTful APIs.
• You have worked with Android Studio and Git in the past.

At JetBrains, code is our passion. Since 2000, we’ve focused on helping developers work faster by automating routine checks and fixes.  Our tools are used by over 12.5 million people worldwide, including eighty-eight Fortune Global 100 companies.

We are seeking a detail-oriented IAM Security Specialist to lead the integration, support, and governance of our identity ecosystem. You will be the bridge between technical implementation and security compliance, ensuring that every identity, whether human or machine, has exactly the permissions it needs and nothing more. Your focus will be on building scalable RBAC models and maintaining a rigorous access review cycle.

Key responsibilities

System integration and support:

• Lead the technical integration of new applications and services into our centralized IAM platform.
• Provide expert support for complex authentication/authorization issues and serve as a technical escalation point.
• Maintain and optimize IAM infrastructure, including SSO (SAML, OAuth 2.0, OIDC), MFA, and PAM solutions.

Access governance and permission reviews:

• Execute and oversee periodic access re-certifications, ensuring compliance across periodic audit cycles (SOC 2).
• Conduct detailed permission reviews for individuals and system integrations to enforce the Principle of Least Privilege (PoLP).

RBAC and ABAC modeling:

• Design, document, and implement Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC) frameworks across a wide range of systems.
• Partner with cross-functional teams (IT, Product, HR) to define business roles and translate them into technical entitlements.

Required skills and experience

• 3+ years of professional experience focused on Identity and Access Management (IAM) engineering or architecture.
• Proven experience administering enterprise IAM solutions and integrating them with diverse systems (e.g., Okta, Auth0, Ping Identity, Microsoft Entra ID).
• Scripting and automation skills using a scripting language such as Python, Go, Bash, or PowerShell.
• Familiarity with cloud IAM solutions (e.g., AWS IAM, GCP IAM).
• Solid understanding of networking, security protocols, and SSO technologies and standards, including SAML, OAuth 2.0, and OIDC.

Preferred qualifications

• Experience in the software development industry, particularly with managing access to source code repositories (Git/GitHub/GitLab) and CI/CD tools (TeamCity, GitLab CI).
• Hands-on experience with Privileged Access Management (PAM) concepts and tools.
• Knowledge of Zero Trust Architecture (ZTA) principles and how to apply them to developer workflows.
• Security certifications (e.g., CISSP, CISA, relevant vendor certifications).
• Familiarity with compliance frameworks relevant to software vendors (SOC 2).
  
  

Why join JetBrains?

JetBrains provides a highly technical and intellectually stimulating environment. You'll work on identity and access management systems used by millions of developers, with the opportunity to work with cutting-edge technologies every day. Help us keep our tools and systems secure. 
We offer:

• 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 

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.

The job in short

To develop and deliver a production-ready banking platform across all verticals, therefore, being full stack is a big plus.

Meet the job

This role is part of a Backbase product team in R&D. It is a multidisciplinary team of experienced and highly skilled UX designers, software developers, QA engineers, and technical writers. As part of the team, you will contribute to new and existing functionalities, proof of concepts, and technical improvements that will be implemented in the Digital Banking Platform. Your autonomous team is responsible for the entire software development life cycle for the digital banking product suite: from idea to release. We work in Scrum in order to deliver new product increments through short cadences by closely cooperating with other departments as well as customers. You are expected to take ownership of what you build and proactively collaborate with architects, QA engineers and other team members to ensure implementation is done according to our technical vision and best practices.

Backbase provides a modern software solution developed in microservices architecture, ensuring financial institutions can build on the top of cutting-edge technology.  As such, many modern principles have been adopted such as continuous integration and delivery. We have also adopted Agile practices that contribute to rapid delivery, with decisions being driven out of the team with autonomy rather than top down.

• You have a solid background in software development including design;
• You are able to communicate clearly and confidently across all levels to get buy-ins from technical stakeholders as well as from your team members;
• Experience in the banking domain or fintech products will be considered an advantage;
• You have excellent communication skills in English, spoken and written;
•  You have experience with Python, Django, Fastapi, CI and CD;
• You have experience with microservices (SS is a plus);Cloud and traditional application servers (Gunicorn, uvicorn,, …);
• Knowledgeable of relational databases;
• You have experience with non-functionals such as security, performance, scalability etc.;
• Being a Full Stack developer is a huge advantage;
• You have a good understanding of Enterprise Integration Patterns.

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