Senior DevOps Engineer
Incode Technologies is an AI-powered identity verification and fraud prevention company. It provides identity, biometric, liveness, KYC/KYB, authentication, age assurance, and deepfake-defense solutions for global enterprises across financial services, fintech, marketplaces, government, healthcare, telecommunications, gaming, and other industries.
Funding history
Projects
About Incode Technologies, Inc.
Incode develops and operates an enterprise identity platform for verifying users, businesses, employees, and AI agents. Its offerings include document and biometric verification, facial recognition, liveness and deepfake detection, government-record matching, sanctions and PEP screening, risk decisioning, configurable workflows, case management, analytics, integrations, APIs, SDKs, and privacy-preserving on-device processing. The company serves organizations in financial services, fintech and crypto, commerce, marketplaces, public sector, healthcare, travel, telecommunications, gaming, social media, and related sectors.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will be the backbone of cloud infrastructure, architecting scalable cloud-native systems that power secure identity experiences. You will leverage Kubernetes, Terraform, and AWS to accelerate deployments, strengthen monitoring and observability, and ensure reliability at global scale.
Requirements
- Proven experience as a DevOps Engineer or in a similar role.
- Hands-on experience deploying and managing Kubernetes-based applications.
- Strong expertise in Terraform and infrastructure automation.
- Experience designing and implementing CI/CD pipelines with GitLab CI/CD or GitHub Actions.
- Solid understanding of AWS services including EC2, VPC, S3, and IAM.
- Knowledge of TCP/IP, DNS, and HTTP/S networking protocols and best practices.
- Strong written and verbal communication skills.
Responsibilities
- Design, implement, and maintain Kubernetes-based environments for scalability, resilience, and security.
- Implement and manage Terraform-driven infrastructure automation.
- Troubleshoot and resolve production issues to minimize downtime.
- Build and optimize monitoring, logging, and observability solutions using Prometheus, Loki, ELK, or similar stacks.
- Contribute to internal engineering standards, methodologies, and automation frameworks.
- Evaluate AWS and DevOps advancements and introduce tools that improve speed, efficiency, and scalability.
Benefits
- Flexible Working Hours & Workplace
- Open Vacation Policy