This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Facebook, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. 

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. The people of Adyen are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

Senior Observability Infrastructure Engineer

We are looking for an experienced Observability Infrastructure Engineer to join our Platform Engineering organization. You will be part of the team responsible for building and running Observability pillars on premise and on Kubernetes. Our systems collect, process, and store the logs, metrics, and traces that allow hundreds of product teams to monitor their services in real time.

This is a role for a builder and a problem solver who enjoys deep technical troubleshooting across distributed systems and then turns recurring issues into automated, repeatable solutions. You will work in a large-scale environment where we manage petabytes of data and thousands of servers. We are currently in the middle of a major transformation:  focusing on automation of operations and enabling self service for our users.

What you will do

• Build the next generation of our platform: Design and implement the future architecture of our logging and metrics systems. You will play a key role in redesigning our infrastructure to support new global regions, ensuring data isolation and regulatory compliance in different geographies, and more.
• Own infrastructure operations: You will take full ownership of our hybrid infrastructure, managing the lifecycle of over 1,500 servers across both bare-metal and Kubernetes environments.
• Automate to reduce toil: You will write code in Go or Python to eliminate manual operational tasks. Your goal is to build self-healing systems that do not require manual intervention during the night. You will improve our CI pipelines to ensure that changes to our clusters are safe, predictable, and automated. 
• Optimize for scale and performance: You will dive deep into performance bottlenecks within our distributed tracing and logging pipelines. We deal with high-volume data streams that can overwhelm standard configurations. You will tune our Elasticsearch clusters, optimize Prometheus and VictoriaMetrics storage, and ensure our OpenTelemetry implementation can handle peak traffic without missing a beat.
• Reliability and Engineering: You will participate in on-call rotations, but your primary focus will be engineering solutions that stop alerts from firing in the first place. You will help us upgrade our stack to the latest versions and ensure our platform remains secure and performant. You will improve the self-service experience by implementing automated guardrails and quota management to prevent noisy tenants from destabilizing the platform, while designing safer API access patterns for our users.

What you bring

• 10+ years of experience in the observability domain or in a relevant platform/infrastructure domain.
• Observability Stack Expertise: You have hands-on experience operating core telemetry data stores at scale e.g. Elasticsearch/Opensearch/VictoriaLogs/Clickhouse for logging, Prometheus/ VictoriaMetrics for metrics and Grafana Tempo for distributed tracing.
• Linux Experience: You understand the operating system at a kernel level and can debug complex networking, file system, and performance issues on both bare metal and virtualized hardware .
• Production Kubernetes Experience: Proven hands-on experience operating, and troubleshooting production workloads on Kubernetes (on-prem and/or cloud), including strong day-to-day use of kubectl and Kubernetes primitives (e.g. Namespaces, Pods, Deployments/StatefulSets, Services, Ingress, ConfigMaps/Secrets)
• Software Engineering Mindset: You are proficient in Go or Python and do not just write scripts; you build tools and automation platforms that treat infrastructure as code.

Nice to have

• Experience with large scale, multi tenant isolation and quota or cost governance approaches for telemetry platforms.​
• Familiarity with regulated environments where security, audibility, and data handling requirements shape platform design decisions.​

Our Diversity, Equity, and Inclusion commitments

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you're from, we welcome you to be your true self at Adyen.

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

What's next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 10 business days. Our interview process tends to take about 4 weeks to complete but may fluctuate depending on the role. Learn more about our hiring process here. Don't be afraid to let us know if you need more flexibility.

This role is based out of our Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

What Is The Role :

Developers and community matter. Our users and contributors have helped ensure that the Elastic Stack (including Elasticsearch, Kibana, Beats, and Logstash) is more than just code — they are free and open projects that people love to use and love to talk about.

Are you keen on sharing technology with the world and supporting our global user-base? Your activities as a Developer Advocate at Elastic would include:

• Speaking publicly at in-person and virtual conferences or meetups.
• Answering questions from developers on Discuss (our forum), Slack and other forums.
• Building and sharing content, including social media posts, in-depth blog posts, example code, demos, tutorials and videos on elastic.co or our YouTube channel.
• Contributing code on GitHub both to Elastic and external repositories.

The DevRel team's mission is to educate and help our users succeed by being (or the willingness to become) an expert in Elasticsearch and the Elastic Stack within the search and AI ecosystem.

If you read this far and think: "that's me!" — You probably won't need to read any further, and we should have a conversation. But if you doubt the type of experience we expect you to have, read on.

What You Will Be Doing :

• Foster the Elastic Community in Europe (EMEA), with a local focus on Amsterdam.
• Create technical content around the Elastic Stack such as code examples, talks, blog posts, videos, and demos.
• Speak at virtual and in-person events like conferences, meetups, and lunch & learn sessions in the Amsterdam area and throughout EMEA.
• Answer technical questions on Discuss, Slack, developer forums, social media, and at events.
• Reviewing colleagues content for technical accuracy.
• Contribute to Elastic repositories or external ones to integrate better with Elastic technologies.
• Help users be successful with Elastic’s stack, solutions, and cloud offerings.

What You Bring :

• Strong technical background and experience in an engineering role.
• Demonstrated ability to create compelling content about technology — including speaking, writing, and demoing.
• Empathy for the community to help them solve their issues, provide internal feedback to make Elastic’s products better, and fix problems where possible.
• Comfortable working with a highly distributed team.
• A dedicated individual with experience working in self-organizing teams.
• Excellent spoken and written communication skills in English.

Bonus Points :

• Familiarity with and passion for the Elastic Stack.
• Proficiency in additional language(s) — speaking or programming (like Golang, Python, Java, or Rust).
• Production experience with technologies that complement Elastic’s technologies — from Generative AI to Kubernetes.
• Involvement in past Elastic Community events as speaker or organizer.
• Experience with open source software or commercial open source companies.

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)

Elastic has seen significant growth in its work within the Public Sector over the last few years. This role will focus on delivery but also to lead the stakeholder relationships at the highest levels of Government and to work with them to help align Elastic to their strategic objectives.

You will have the opportunity to work with a tremendous services, engineering and sales team and wear many hats.  This is a critical role, as Consultants have an amazing chance to make an immediate impact on the success of Elastic and our customers.

Given the opportunity and the organisations that you will be working with, you must be a current holder of Security clearance.

What You Will Be Doing:

• Strong customer advocacy, relationship building, and communications skills
• The ability to easily pivot from delivery to strategic engagements with customers
• To work with the wider Elastic organisation to support the customer’s goals, their strategic requirements and their journey with Elastic.
• Ownership of the strategic roadmap with the customer including quarterly strategic sessions with senior and key stakeholders either in one or a number of customers with common goals.
• Solution design, development, and integration of Elastic products and APIs, platform architecture, and capacity planning in mission-critical environments
• Comfortable working remotely in a highly distributed team
• Development of demos and proof-of-concepts that highlight the value of the Elastic Stack
• Data modelling, query development and optimisation, cluster tuning and scaling with a focus on fast search and analytics at scale
• Solving our customers’ most challenging data problems
• Working closely with the Elastic engineering, product management, and support teams to identify feature enhancements, extensions.
• Engaging with the Elastic Sales team to scope opportunities while assessing technical risks, questions, or concerns

What You Bring Along:

• Hands-on experience and an understanding of Elasticsearch and/or Lucene
• Minimum of 2 years’ experience as a Software Engineer, System Administrator, or DevOps Engineer
• Minimum of 5 years' experience working as a Consultant, working to deliver and execute on professional services engagements
• Currently holding  security clearance
• Experience as a technical instructor or public speaker to large audiences on enterprise infrastructure software technology to engineers, developers, and other technical positions
• Excel at working directly with customers to gather, prioritise, plan and execute solutions to customer business requirements as it relates to our technologies
• Understanding and passion for open-source technology and knowledge and proficient in at least one programming language
• Hands-on experience with large distributed systems from an architecture and development perspective
• Knowledge of information retrieval and/or analytics domain
• The nature of the work that you will be doing will require a high percentage of work onsite with customers, and you should be expected to travel as a result of this requirement
• Understanding of Linux, Java and databases

Bonus Points:

• Deep understanding of Elasticsearch and Lucene, including Elastic Certified Engineer certification
• BS, MS or PhD in Computer Science or related engineering discipline
• Strong knowledge of Java and Linux/Unix environment, software development, and/or experience with distributed systems
• Experience and interest in delivering and/or developing product training
• Experience contributing to an open-source project or documentation

LI-PF1

CSQ427R82

As a Sr. Technical Solutions Engineer, you will provide technical support for Neon and Databricks Platform-related issues and resolve any challenges involving the Databricks unified analytics platform. You will assist customers in their Databricks journey and provide them with the guidance and knowledge that they need to accomplish value and achieve their strategic goals using our products. They will look to you for answers to everything from basic technical questions to complex architectural scenarios spanning across the entire Big Data ecosystem. You will report to the Senior Manager of Technical Solutions. 

The impact you will have:

• Troubleshoot and resolve complex customer issues related to Neon and the wider Databricks ecosystem
• Provide best practices support for custom-built solutions developed by customers
• Deliver suggestions for improving performance in customer-specific environments
• Assist with issues around third-party integrations with Databricks environment
• Demonstrate and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests
• Participate in the creation and maintenance of company documentation and knowledge articles
• Be a true proponent of customer advocacy
• Strengthen your AWS/Azure and Databricks platform expertise through learning and internal training programs
• Participate in weekend and weekday on call rotation

What we look for:

• A thorough knowledge of PostgreSQL is required. Working and hands-on experience with other SQL-based databases, Data Warehousing/ETL technologies like Informatica, DataStage, Oracle, Teradata, SQL Server, MySQL is desirable 
• Experience of at least one of the following :
• Designing, building, testing, and maintaining Python/Java/Scala based applications, with a thorough knowledge of python.
• Developing with Spark and any of : Big Data, Hadoop, Machine Learning, Artificial Intelligence, Streaming, Kafka, Data Science, ElasticSearch
• Linux/Unix administration skills.
• Hands-on experience with AWS, Azure or GCP.
• Candidates must possess excellent English written and oral communication skills.
• Experience with the "Distributed Big Data Computing" environment.
• Technical degree or the equivalent experience.