Head of DevOps / AI Ops

About the company

Autopay Global is the newest member of the Autopay family, aiming to expand the reach of the group’s state-of-the-art payment integration and payment data technologies to the international market, providing seamless integration with local PSPs, support for multiple currencies and compliance with local frameworks. We have a very forward-looking approach to our products, we value creativity, passion and drive to leverage the newest achievements in technology to our advantage.

To support our dynamic expansion, we are looking for a new Head of Operations (DevOps / SRE + AI Ops) for a full-time, hybrid work in Warsaw or Gdańsk.

About the role

The Head of DevOps / SRE + AI Ops owns production reliability, delivery infrastructure, and operational governance across AWS and GCP, with a specific focus on low-latency decisioning and high-integrity payments flows.

Your responsibilities will be to:

• define and operationalize SLOs for critical services,
• own incident management: on-call structure, alerting standards, runbooks, postmortems, and corrective action tracking,
• build and maintain the multi-cloud runtime platform (EKS/GKE or equivalent),
• establish a paved road for engineers: standardized service templates, CI/CD pipelines, IaC modules, environment management, and production readiness checks,
• implement cloud-native observability across AWS and GCP, including metrics, logs, alarms and dashboards using respective cloud platform tools,
• establish unified cross-cloud telemetry conventions,
• integrate and use Dynatrace Platform as suitable,
• drive governance, monitoring, and optimization of integrations using Mulesoft Anypoint, enabling secure and reliable connectivity with external services,
• harden security posture: least-privilege IAM, key management, perimeter controls and secure CI/CD,
• own multi-cloud cost controls and capacity planning for peak campaign traffic and paid media bursts,
• lead AI Ops: implement model/agent versioning, evaluation suites, rollout and rollback. Monitor model/agent quality and enforce guardrails,
• partner with Engineering, Data, Security, and Compliance to meet SOC2 and PCI-aligned operational controls,
• hire and lead a high-performing AI OPS organization.

What tools will you be working with?

• Technology: AWS (EKS, ECR, MSK, CloudWatch, X-Ray), GCP (GKE, GCS, BigQuery, Pub/Sub), OpenTelemetry, Dynatrace, ML/LLM inference or agent runtimes,
• Nice to have: Experience with MuleSoft Anypoint and multi-cloud data movement (AWS and GCP).

Requirements and skills we are looking for in a person hired for this role:

• 10+ years in DevOps/SRE/platform engineering with startups; 3-5+ years leading SRE/DevOps teams for multi-service production systems in payments or banking,
• proven experience in IT audits and compliance, including industry standards (e.g., PCI DSS) and regulatory requirements from banking/payment authorities,
• hands-on expertise running Kubernetes in production (EKS and/or GKE) with strong networking fundamentals (VPC design, private connectivity, TLS, DNS),
• deep experience with cloud-native observability (metrics, logs, tracing) and building actionable alerting and on-call hygiene,
• proven implementation of SLOs, error budgets, capacity planning, and DR for high-availability services,
• strong security engineering instincts: IAM design, secrets management, encryption, secure CI/CD, and audit logging,
• experience operating real-time data systems (Kafka/MSK/Confluent, Pub/Sub, stream processing) and API-heavy platforms,
• operating ML/LLM inference or agent runtimes in production: rollout/rollback, safe configuration, monitoring and alerting,
• implementing evaluation gates for models/agents (offline regression, golden sets, canaries) and closing the loop with production feedback signals,
• monitoring for drift and regression (data drift, embedding drift, tool-call failure rates, latency regressions) and establishing kill switches for rapid containment,
• predictive capacity & resource optimization leveraging AI/ML.

What we offer?

• A leadership role in a fast-growing, global fintech company,
• possibility to work with cutting-edge tools and technologies,
• independence in decision-making,
• friendly working environment, team support, no dress code.