Senior DevOps Engineer

Provenir

3d•Remote

About The Position

Provenir is a global fintech company with offices across North America, the UK, and Singapore backed by talented teams across APAC, EMEA, and LATAM. Provenir helps fintechs, financial institutions, and payment providers make smarter decisions, faster. We are passionate about technology and empowering businesses to become industry leaders. As a leading provider of decisioning and analytics products for financial services and other industries, we empower businesses to create digital-first decisioning solutions that drive business growth. If you’d like to work at an innovative fintech with a global footprint that is redefining the industry, then we want you! We're seeking a Senior DevOps Engineer to architect and evolve our next-generation cloud platform. In this role, you will move beyond standard automation to lead the technical vision for our infrastructure, driving developer velocity and system resilience through an AI-first operational mindset. You will act as a hands-on technical authority, bridging the gap between complex product requirements and robust GitOps-driven, AIOps-enabled operational design.

Requirements

8–10+ years in DevOps/SRE roles, with a proven track record of managing highly agile, large-scale environments.
Familiarity with GitOps principles and a passion for applying AI/ML to operations to reduce noise and MTTR.
Bachelor’s Degree in Computer Science, Engineering, or equivalent practical experience.
Demonstrated ability to remove technical roadblocks, provide architectural guidance to peers, and foster a culture of innovation.
Ability to articulate complex technical concepts to both technical and non-technical stakeholders.
Expert-level AWS (VPC, Networking, ECR) and deep production experience with Kubernetes (EKS, K8s Ingress, mTLS) and ArgoCD.
Advanced proficiency in terraform and Ansible for maintaining immutable infrastructure.
Strong command of Python and Bash; experience with GitHub Actions, Jenkins, and AWS serverless automation (Lambda, Step Functions).
Building proactive AIOps frameworks via Grafana and utilizing AI coding tools like Cursor to accelerate delivery.
Hands-on experience with RDS (Postgres), Kafka, and big data tools like Druid or Athena.
Integration of SonarQube and CodeArtifact into the SDLC, with a focus on network security and identity management.

Responsibilities

Own the technical roadmap for our AWS ecosystem, transitioning from standard automation to a self-service, AIOps-driven platform model that empowers our engineering and QA teams using modern GitOps workflows.
Direct the evolution of our EKS and K8s environments, focusing on advanced orchestration (ArgoCD), mTLS security, and intelligent scaling using tools like Cast.ai.
Manage and optimize a world-class delivery pipeline—transitioning from Jenkins toward cloud-native solutions like AWS CodeBuild and Step Functions—to ensure seamless, secure deployments across our entire data and software lifecycle.
Leverage AI-assisted development tools like Cursor and AIOps strategies to implement self-healing infrastructure, proactive anomaly detection, and autonomous pipeline optimizations.
Support large-scale data environments involving Kafka, Druid, and Athena, ensuring high availability and performance for complex data pipelines.
Partner with Solution Architecture, Product Management, and Engineering leadership to align infrastructure capabilities with business growth and product innovation.
Implement sophisticated observability and cost-optimization strategies using Grafana and CastAI to maintain a lean, high-performing cloud footprint.