Devops Engineer Senior

Daniel Matthiesen

Naples, FL 448-***-**** *******************@*****.*** linkedin.com/in/daniel-matthiesen-769847360/ SUMMARY

Accomplished Senior DevOps Engineer with 10 years of experience in designing, automating, and managing scalable cloud infrastructures across diverse industries. Expertise in AWS, Terraform, Kubernetes (EKS), and CI/CD pipelines, with a strong focus on cost optimization, system reliability, and infrastructure automation. Skilled in Ansible for configuration management and deploying AI/ML models to improve system performance. Proven track record in incident management, disaster recovery, and security compliance, ensuring high availability and data protection. Adept at mentoring teams, collaborating with cross-functional stakeholders, and leading initiatives to drive continuous improvement in cloud architecture and deployment processes. SKILLS

Amazon Web Service • Docker • Kubernetes • Terraform • Ansible • Gitlab CI/CD • Jenkins • GitHub Actions • Go • Python • Bash • C/C++ • Linux • SQL • NoSQL • Agile • Microservices • Grafana • Prometheus • PagerDuty EXPERIENCE

Conga 02/2021 – 03/2025

Senior DevOps Engineer

• Spearheaded the automation of AWS infrastructure provisioning using Terraform and AWS CloudFormation, significantly enhancing the deployment speed and reliability of Conga’s CLM and CCI solutions.

• Implemented AWS cost optimization strategies, including EC2 right-sizing, S3 storage management, and RDS optimization, resulting in a 35% reduction in operational costs for Conga’s CLM and AI-powered solutions.

• Designed and implemented CI/CD pipelines using AWS CodePipeline and Jenkins, enabling automated deployment for Conga CLM and CCI updates, which improved deployment frequency by 50% and reduced error costs by 11%.

• Orchestrated Kubernetes (EKS) clusters to scale and manage Conga CCI’s AI workloads, ensuring real-time contract data processing and reducing infrastructure setup time by 40%.

• Engineered scalable cloud infrastructures with AWS Fargate and ECS to manage CCI’s AI model training and inference pipelines, ensuring efficient resource usage and reducing costs by 20%.

• Expertly integrated AWS Bedrock for seamless deployment of generative AI models and AWS SageMaker for advanced model training, fine-tuning, and optimization, resulting in a 30% improvement in processing speed and significantly enhancing the scalability and performance of AI-driven applications.

• Integrated Grafana and Prometheus for real-time monitoring and analytics of AI models and cloud infrastructure, improving performance visibility and reducing troubleshooting time by 30%.

• Developed automated disaster recovery solutions using AWS services like S3 and Glacier, ensuring business continuity and minimizing downtime for critical contract management applications.

• Enhanced IAM roles, encryption, and VPC security for Conga’s cloud infrastructure, ensuring SOC 2 and GDPR compliance for both CLM and CCI, improving data protection across products.

• Mentored junior engineers in cloud architecture, AI deployment best practices, and DevOps automation, while collaborating with product and engineering teams to design cloud architectures for Conga CLM and CCI that enabled high scalability and low-latency contract analysis, improving team productivity by 110% and enhancing contract processing speed and user experience. Goldman Sachs 07/2018 – 10/2020

DevOps Engineer

• Engineered highly available and fault-tolerant infrastructure for Goldman Sachs’ trading and investment platform, using AWS EC2, Elastic Load Balancer, and Auto Scaling to ensure zero downtime during market hours, supporting global transactions and market data processing.

• Managed security measures for sensitive financial data by implementing AWS KMS encryption, IAM roles, and access controls, ensuring compliance with strict financial regulations such as SOX and GDPR, reducing security risk exposure by 25%.

• Led the migration to containerized environments using Kubernetes (EKS), improving resource utilization, scalability, and deployment efficiency while reducing infrastructure overhead by 30%.

• Built and maintained CI/CD pipelines using Jenkins, Gitlab CI, and AWS CodePipeline to automate the deployment of financial trading applications, increasing the speed and accuracy of financial data processing and application updates by 50%.

• Leveraged Ansible to automate the configuration of critical financial infrastructure, ensuring consistent, repeatable setups across global environments, reducing manual configuration errors by 40% and enhancing the reliability and speed of financial application deployments.

• Integrated proactive incident management and alerting systems using AWS CloudWatch and PagerDuty, enabling faster response to production issues and reducing incident resolution time by 30%.

• Designed and deployed a real-time data pipeline using AWS Kinesis, Lambda, and S3 to manage high- frequency financial transactions and market data streams, reducing data processing time by 35% and enhancing reporting capabilities.

Etsy 06/2015 – 06/2018

DevOps Engineer

• Built infrastructure to handle global e-commerce transactions by optimizing the deployment of microservices and databases across multiple AWS regions, ensuring low-latency order processing and enhancing the customer experience.

• Participated in incident management and post-mortem analysis with Etsy’s site reliability engineering team, reducing critical incident response time by 30% and improving the overall uptime of platform.

• Implemented ELK Stack (Elasticsearch, Logstash, Kibana) for centralized logging and analysis, improving Etsy’s ability to identify and troubleshoot issues quickly, leading to a 20% improvement in MTTR.

• Led the migration of Etsy’s legacy monolithic applications to a containerized environment using Docker and Kubernetes (EKS), resulting in faster deployments, enhanced application portability, and reduced infrastructure costs by 25%.

• Developed advanced monitoring and alerting systems using Grafana and Prometheus, enabling Etsy to proactively detect performance bottlenecks and reduce system downtime by 20%.

• Worked cross-functionally with engineering and product teams to design and deploy cloud-based solutions that supported Etsy’s global expansion, ensuring faster time-to-market for localized e- commerce services.

Bachelor’s degree, Computer Science

University of Florida

2011 - 2015

EDUCATION

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