
Adyen · Chicago; San Francisco
This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the fina...
This is Adyen
Adyen provides payments, data, and financial products in a single solution for customers like Meta, 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. We 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.
Platform Monitoring Engineer / Incident Manager
A team within Engineering under the Platform Excellence pillar exhibits an unwavering attention to detail and a deep understanding
of the platform wide monitoring implications to all merchants.
In this role, you will be on-call monitoring platform performance, coordinating and commanding incidents, communicating with our
customers, working on monitoring frameworks, providing feedback to product engineering teams to improve the reliability of the
platform. You will initiate and lead initiatives across our platform offerings prioritizing merchant impact to proactively detect
any issues, inform merchants quickly, and increase the reliability of our platform.
What you’ll do
6.00PM PDT, 11.00-8.00PM CDT). Observe platform and merchant performance and detect any issues proactively to mitigate risks
in partnership with Engineering teams.
effective response across teams. Represent the customer perspective during incidents, maintaining a strong customer-centric
approach.
updated information to keep them informed. Escalate critical incidents when needed and provide structured communication to
senior management.
weaknesses. Partner with engineering and product teams to advocate for long-term fixes over repeated short-term patches.
strategy and increase our reliability.
architecture.
playbook by documenting your learnings.
Who you are
platform monitoring operations.
investigations and driving preventative action.
to translate technical situations clearly and concisely to a diverse audience via data-visualizing dashboards and written
documents.
of issues.
implementation of processes and projects
technical concepts with ease for all non technical audiences
(Sunday–Friday or Monday–Saturday).
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 5 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.
Adyen is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin,
religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic
information, marital status or any legally protected status.
All your information will be kept confidential according to EEO guidelines.
This role is based out of our San Francisco or Chicago office. We are an office-first company and value in-person collaboration;
we do not offer remote-only roles.
The annual base salary range for this role is $100,000-$154,500; to learn more about our compensation philosophy, please click
here.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and
conviction records.
PLATFORM DATABASE ENGINEER Location: Colombia – Remote ABOUT THE ROLE The Platform Database Engineer is responsible for designing, deploying, administering, and optimizing MongoDB (Atlas and on‑premise) within a large-scale, cloud-based enterprise ecosystem. This role blends deep database engineering expertise with SRE principles to ensure performance, reliability, scalability, and automation across mission‑critical data platforms. ---------------------------------------------------------------------------------------------------------------------------------- WHAT YOU WILL DO * Architect, implement, and maintain MongoDB Atlas and non‑Atlas environments, ensuring high availability, scalability, and security. * Design and enforce resiliency and disaster recovery strategies, including backup, restore, and multi‑region failover. * Optimize database performance and query execution to support application development teams throughout all SDLC phases. * Develop and manage infrastructure‑as‑code solutions (Terraform, GitOps) for database provisioning and automation. * Implement and refine observability and monitoring solutions using Dynatrace, CloudWatch, and MongoDB native telemetry. * Manage access control, auditing, and encryption to meet enterprise security and compliance requirements. * Collaborate closely with application, DevOps, and platform teams to continuously improve reliability, performance, and operational excellence. * Lead incident response for database‑related issues, drive root cause analysis, and implement corrective and preventative measures. * Mentor and guide technical teams, contributing to documentation, standards, and design reviews. ---------------------------------------------------------------------------------------------------------------------------------- MINIMUM QUALIFICATIONS * 4+ years of experience as a MongoDB DBA, including 4+ years administering MongoDB Atlas. * Strong experience with the AWS ecosystem (EC2, EKS, CloudWatch, IAM, KMS, VPC, Lambda). * Proficiency in Terraform, GitOps, CI/CD automation, and containerized workloads (EKS/Kubernetes). * Experience with Dynatrace, Prometheus, or equivalent observability platforms. * Strong Linux administration expertise and scripting skills (Python, Bash). * Excellent analytical, communication, and documentation skills. * Ability to participate in on‑call rotation and incident response. * Travel requirement: <10%. ---------------------------------------------------------------------------------------------------------------------------------- PREFERRED QUALIFICATIONS * Experience with Kafka, CDC, and enterprise data integration platforms. * Familiarity with GitOps practices and infrastructure observability at enterprise scale.
PLATFORM DATABASE ENGINEER Location: Colombia – Remote ABOUT THE ROLE The Platform Database Engineer is responsible for designing, deploying, administering, and optimizing MongoDB (Atlas and on‑premise) within a large-scale, cloud-based enterprise ecosystem. This role blends deep database engineering expertise with SRE principles to ensure performance, reliability, scalability, and automation across mission‑critical data platforms. ---------------------------------------------------------------------------------------------------------------------------------- WHAT YOU WILL DO * Architect, implement, and maintain MongoDB Atlas and non‑Atlas environments, ensuring high availability, scalability, and security. * Design and enforce resiliency and disaster recovery strategies, including backup, restore, and multi‑region failover. * Optimize database performance and query execution to support application development teams throughout all SDLC phases. * Develop and manage infrastructure‑as‑code solutions (Terraform, GitOps) for database provisioning and automation. * Implement and refine observability and monitoring solutions using Dynatrace, CloudWatch, and MongoDB native telemetry. * Manage access control, auditing, and encryption to meet enterprise security and compliance requirements. * Collaborate closely with application, DevOps, and platform teams to continuously improve reliability, performance, and operational excellence. * Lead incident response for database‑related issues, drive root cause analysis, and implement corrective and preventative measures. * Mentor and guide technical teams, contributing to documentation, standards, and design reviews. ---------------------------------------------------------------------------------------------------------------------------------- MINIMUM QUALIFICATIONS * 4+ years of experience as a MongoDB DBA, including 4+ years administering MongoDB Atlas. * Strong experience with the AWS ecosystem (EC2, EKS, CloudWatch, IAM, KMS, VPC, Lambda). * Proficiency in Terraform, GitOps, CI/CD automation, and containerized workloads (EKS/Kubernetes). * Experience with Dynatrace, Prometheus, or equivalent observability platforms. * Strong Linux administration expertise and scripting skills (Python, Bash). * Excellent analytical, communication, and documentation skills. * Ability to participate in on‑call rotation and incident response. * Travel requirement: <10%. ---------------------------------------------------------------------------------------------------------------------------------- PREFERRED QUALIFICATIONS * Experience with Kafka, CDC, and enterprise data integration platforms. * Familiarity with GitOps practices and infrastructure observability at enterprise scale.
Role Summary We are looking for a hands-on Senior AWS Platform Engineer to own and evolve the cloud platform used by our engineering teams in Lund. This role is focused on shared platform ownership rather than ownership of a single backend module. You will work closely with module owners to make it easier, safer, and faster to build, deploy, monitor, and operate production systems on AWS, including event-driven backend services. We currently use Kubernetes and GitOps-based deployment workflows and are migrating toward a more managed AWS platform. Our backend architecture is event-driven, with IoT-like flows built around events, queues, message brokers, and AWS services such as EventBridge. You will help shape the transition by improving deployment pipelines, infrastructure patterns, managed AWS services, observability, database operations, and backend-facing automation. This is an individual contributor role for someone who combines deep AWS and DevOps experience with strong practical Python skills. What you will do You will own and improve the shared AWS platform capabilities that our backend teams and event-driven services rely on. Your responsibilities will include: • Designing, building, and operating AWS infrastructure used by production backend services. • Driving the migration from existing Kubernetes and GitOps workflows toward managed AWS patterns. • Improving CI/CD, deployment automation, release safety, and rollback workflows. • Building and maintaining Infrastructure as Code, preferably using Terraform and/or AWS-native tooling. • Supporting secure and reliable use of AWS services such as IAM, VPC, RDS, CloudWatch, EventBridge, SQS/SNS, SSM/Parameter Store, Secrets Manager, Lambda, ECS/EKS, ElastiCache/Redis, and related services. • Supporting event-driven architecture patterns, including events, queues, pub/sub, message brokers, caching/Redis, and asynchronous service integration. • Helping backend module owners with platform-related design decisions, event boundaries, production readiness, debugging, and operational improvements. • Supporting managed database operations on AWS, including monitoring, access patterns, backups, restore readiness, performance, and migration support. • Writing Python tooling, automation, and backend/platform code where it improves developer productivity, event-driven integrations, or operational quality. • Improving observability, logging, metrics, alerting, and incident response practices, including visibility into asynchronous event flows, queues, failed messages, and cache behavior. • Identifying and reducing manual, repetitive, or error-prone DevOps work through automation and AI-assisted workflows. • Pushing back on fragile technical solutions and helping teams choose pragmatic, reliable alternatives. This is not a ticket-based operations role. We are looking for someone who takes responsibility for platform outcomes and continuously improves the systems that other engineers depend on. What we are looking for You should already be comfortable working with production systems and taking ownership of cloud infrastructure, deployment workflows, and operational quality. Must-have experience: • Strong hands-on experience with AWS in production environments. • Deep understanding of DevOps, platform engineering, CI/CD, event-driven systems, and infrastructure automation. • Experience with Kubernetes and GitOps-based deployment workflows. • Experience with event-driven or asynchronous backend systems using events, queues, pub/sub, message brokers, EventBridge, SQS/SNS, Redis/ElastiCache, or similar technologies. • Experience migrating or modernizing infrastructure toward managed AWS services. • Strong practical Python experience, either in backend development, event consumers/workers, platform tooling, automation, or internal developer tools. • Experience with Infrastructure as Code, preferably Terraform. • Good understanding of IAM, networking, secrets and configuration management, monitoring, caching, and secure access patterns. • Experience supporting production systems through incidents, debugging, logs, metrics, retries, queue behavior, and operational improvements. • Ability to work closely with backend engineers and help them make better platform and deployment decisions. Important profile traits • Treats platform engineering as a product for developers. • Cares about production behavior, not only infrastructure correctness. • Has strong judgment around reliability, security, cost, and developer experience. • Can make local technical decisions independently. • Is pragmatic and avoids over-engineering. • Is comfortable being accountable for shared platform quality. • Can explain trade-offs clearly to backend engineers and technical leads. • Has embraced AI-assisted development and agentic workflows as practical engineering tools, while still applying strong review, testing, and security discipline. AI-assisted engineering DevOps work includes command-, configuration-, and settings-heavy tasks. We expect this person to be comfortable using modern AI-assisted development tools to reduce manual work, improve speed, and increase quality. This could include using AI tools such as Claude Code to help draft or review Terraform, Kubernetes manifests, CI/CD pipelines, AWS configuration, Python tooling, runbooks, debugging workflows, and documentation. We do not mean blindly trusting generated output. We are looking for someone who knows how to use AI tools responsibly: with review, tests, least-privilege access, clear auditability, and good engineering judgment. Nice to have • Experience with EKS, ECS, Lambda, EventBridge, SQS/SNS, API Gateway, ElastiCache/Redis, MSK/Kafka, or other AWS-native and event-driven runtime patterns. • Experience with RDS operations, database migrations, PostgreSQL, or performance tuning. • Experience with OpenTelemetry, Prometheus, Grafana, DataDog, or similar observability tooling. • Experience with AWS cost optimization / FinOps. • Experience with platform self-service, golden paths, internal developer platforms, or paved-road engineering. • Experience in IoT-like event-driven systems, optimization, control systems, or data-intensive backend systems. • AWS certifications or equivalent demonstrated experience.