DevOps Infra Lead

At Payflows we give finance teams the tools to reclaim their time and energy. Our platform weaves together banking connectivity payments AI and procurement so they can ditch the busywork and focus on what really moves the needle.

Were a small mighty team whove earned our stripes at Airbnb Luko BNP Paribas and Facebook. Its not always easythings move fast and we expect a lotbut if youre hungry for impact youll find it here.

Were builders at heart. We move fast think deeply ship often and were always hungry to learn more. Youll collaborate closely with product and tech to craft elegant backend systems that scale as fast as we do.

Youll own the infrastructure for a product that real finance teams rely on every day.

For us infrastructure is not just about uptime; its about reliability security and trust - especially when money and automation are involved. The platform has to be boring in the best possible way: predictable observable and safe to deploy to.

• In a typical week you might:

  • Evolve our infrastructure-as-code to add a service a queue or a whole new environment.

  • Improve our CI/CD pipelines so engineers ship safely and fast dozens of times a day.

  • Investigate a production issue: a latency spike a failing deploy a database under load.

  • Strengthen observability with dashboards alerts and traces so we catch problems before customers do.

  • Harden our security secrets management and access controls.

  • Tune cost and performance across our AWS footprint.

Your time will be split betweenbuilding new platform capabilitiesandmaking what already exists more reliable. Both matter.

Youll help shape thefoundationthat everything else stands on: the pipelines environments and guardrails that let engineers and our AI agents act safely in production.

Youll work closely with backend frontend and the AI team. We expect you to take ownership of the platform and make it more reliable over time not wait for tickets.

Our stack evolves based on our challenges but we care more about good design than trendy tools

Were an AWS shop and we lean on managed services and infrastructure-as-code so the system is reproducible and easy to reason with. A growing part of our world is making the backend a set of reliable deterministic tools that AI agents can call which raises the bar on reliability even further.

• Cloud:AWS

• Infra-as-code:Pulumi (Python)

• Compute:ECS Lambda serverless when it makes sense

• Data:PostgreSQL on RDS/Aurora

• CI/CD:GitLab CI

• Orchestration:Airflow (MWAA)

• Observability:Grafana Cloud CloudWatch Sentry

• Auth & identity:Cognito IAM

• Edge & frontend:API Gateway ALB AWS Amplify for the web app

Some of this is clean version-controlled and reproducible. Other parts grew fast and live a little too much in peoples heads instead of in code. Closing that gap is a big part of why this role exists.

Over the next year well focus on:

• Making every environment reproducible from code

• Better observability and alerting fewer surprises

• Tightening the security and compliance posture that comes with handling enterprise finance data

• Faster safer deploys

• Keeping AWS costs sane as we scale

• 5 years of experience with Python or any other OOP language

• Backend expertise: APIs microservices architecture best practices

• Databases & SQL: Data modeling query optimization

• Git lover: Comfortable with version control and code reviews

• Pragmatic engineering mindset: Build test refine simplifysmart shortcuts when time is tight

Bonus points if youve worked on:

• B2B SaaS or finance/ERP tools

• BaaS APIs or payment infra

• Serverless AWS event-driven architecture exposure

Youll probably feel comfortable here if:

• You think in systems and instinctively automate yourself out of repetitive work.

• You treat infrastructure as code not as pets.

• You stay calm during incidents and are genuinely good at root-causing.

• You care about security because youre handling other peoples money.

• You are autonomous and take ownership of what you ship.

• You take initiative and lead by example.

• Youre pragmatic about trade-offs.

• You communicate with kindness and clarity.

You dont need to know everything about AI - but you must be curious about it and excited to build the reliable foundation that agents run on

• Real ownership over the platform the whole company runs on.

• Direct impact on reliability security and how fast every engineer can ship.

• A mix of platform building system design and reliability work.

• Exposure to real scaling and production challenges.

• The chance to help build the foundation of an agent-driven product from the inside.