Who we are.

Reality Defender is an award-winning cybersecurity company helping enterprises and governments detect deepfakes and AI-generated media. Utilizing a patented multi-model approach, Reality Defender is robust against the bleeding edge of generative platforms producing video, audio, imagery, and text media. Reality Defender's API-first deepfake detection platform empowers teams and developers alike to identify fraud, disinformation campaigns, and harmful deepfakes in real time.

Backed by world class investors including DCVC, Illuminate Financial, Y Combinator, Booz Allen Hamilton, IBM, Accenture, Rackhouse, and Argon VC, Reality Defender works with leading enterprise clients, financial institutions, and governments in order to ensure AI-generated media is not used for malicious purposes.

Youtube: Reality Defender Wins RSA Most Innovative Startup

The Senior DevOps Engineer Role

As a Senior DevOps Engineer, you will be a key technical owner of our cloud infrastructure and deployment ecosystem. You will work across engineering to build highly reliable infrastructure, automate operational processes, strengthen our security posture, and make it easier for teams to ship quickly and safely. This is a hands-on role. We are looking for someone who is exceptionally strong in both AWS and Azure and can operate comfortably across complex cloud environments. You should be the person engineers turn to when something needs to be architected, automated, scaled, secured, or fixed. You will have significant autonomy and ownership, with the opportunity to shape our infrastructure and DevOps practices as the company scales.

• Own and evolve our cloud infrastructure across AWS and Azure

• Design, implement, and maintain secure, scalable, highly available cloud architectures

• Build and maintain infrastructure as code using Terraform and other automation tools

• Own and improve CI/CD pipelines, deployment processes, and release automation

• Manage and optimize Kubernetes and containerized workloads

• Establish strong observability across infrastructure and applications, including monitoring, logging, alerting, and performance metrics using DataDog

• Build systems and processes that improve reliability, uptime, scalability, and disaster recovery

• Partner with Engineering and Security to identify and remediate infrastructure and cloud security risks

• Manage cloud networking, identity management, object storage, RDBMS, access controls, secrets management, DNS, load balancing, and related infrastructure

• Automate repetitive operational work and eliminate manual processes wherever possible

• Troubleshoot complex production issues and lead infrastructure-related incident response

• Establish and improve infrastructure standards, documentation, and operational best practices

• Help evaluate and implement new cloud technologies and tooling as our architecture evolves

• Support the infrastructure requirements of high-scale AI/ML workloads

• Mentor engineers and raise the technical bar for cloud infrastructure and operational excellence

• Help define the long-term architecture and roadmap for our cloud and DevOps environment

• Work with compliance resources for SOC2, ISO, and FedRAMP certifications

Who you are.

• 7+ years of experience in DevOps, SRE, Cloud Infrastructure, or a closely related discipline

• Expert-level experience with both AWS and Azure — this is a core requirement

• Deep understanding of cloud architecture, networking, security, scalability, and reliability

• Extensive hands-on experience with Terraform or comparable Infrastructure as Code tooling

• Strong experience with Kubernetes and Docker/containerized environments

• Deep experience building and managing CI/CD pipelines

• Strong Linux systems administration and troubleshooting skills

• Experience with cloud networking, including VPCs/VNets, routing, DNS, load balancers, firewalls, and VPNs

• Strong understanding of IAM, secrets management, encryption, least-privilege access, and cloud security

• Experience with monitoring and observability platforms and practices

• Strong scripting/programming ability in languages such as Python, Bash, Go, or similar

• Experience operating production systems where reliability and uptime matter

• Excellent inciden