Role
Company
What you'll do:
- As a Lead DevOps Engineer at Foundation AI, you will bring extensive expertise in managing code deployment, configuration, and monitoring, ensuring high service availability, latency management, and effective change and capacity management.
- Utilizing SLAs, SLIs, and SLOs, you will define and maintain system reliability standards, while actively collecting and sharing data with development teams to enhance code quality.
- Your role will focus on proactive issue resolution through robust monitoring and logging practices, implementing automation to streamline operations, and maintaining a balance between operational tasks and development work.
You will leverage extensive expertise across various domains, including operating systems (CentOS/Ubuntu, Windows), cloud platforms (AWS, Azure), and container technologies (Docker, Kubernetes with Helm).
- Your proficiency extends to planning and design using Jira and Confluence, source code versioning with Git (GitHub), and management of web servers like Apache HTTP and Nginx.
- You will demonstrate adeptness in programming languages such as Bash Shell Scripting and Python, coupled with robust configuration management skills in Ansible and infrastructure coding using Terraform and CloudFormation.
- Additionally, you'll utilize service mesh technologies like Envoy, Istio, and AWS AppMesh, alongside network configuration tools such as Consul.
- Your role will also encompass implementing CI/CD pipelines with Jenkins, ensuring secure credentials management with HashiCorp Vault and SSL, and monitoring infrastructure and applications using tools like Datadog, Prometheus integrated with Grafana, and ELK Stack for log management.
- Furthermore, you'll optimize performance and manage emergency responses through SMTP, SES, SNS, and PagerDuty.
What makes you a great fit:
- Experience with Infrastructure as a Service (e.g., Terraform), proficiency in Shell scripting and Linux OS, and database configuration skills are essential.
- Familiarity with the ELK stack, expertise in managing CI/CD pipelines such as Jenkins, and proficiency in Git repository management are also required.
- Knowledge of AWS services, access provisioning, and optimizing product scalability and availability are critical, along with deploying and maintaining monitoring tools and utilizing cloud services efficiently.
- Additional qualifications include acting as a configuration manager, optimizing cloud resources, and reducing spending, with AWS certification considered advantageous.
- Experience with Airflow, Helm Charts, AWS SageMaker, and MLOps is a plus, alongside 7-10 years of experience, a Master's degree in Computer Science preferred, and demonstrated leadership in project development and adherence to system security best practices.
- Proficiency in coding and scripting, detailed knowledge of web and application servers, familiarity with Linux and Windows operating systems, and experience with containerized platforms and orchestration round out the essential qualifications for this role.
- You should possess a substantial 7-10 years of experience in DevOps and Site Reliability Engineering (SRE) & should have worked for product-based companies (Startup/Scaleup). This extensive experience underscores your ability to navigate complex DevOps challenges effectively.
- Your command over operating systems is particularly vital, with a strong emphasis on Linux. This expertise ensures a solid foundation for managing and optimizing system-level operations.
- You will be at the forefront of CI/CD (Continuous Integration and Continuous Deployment) efforts. This leadership position involves overseeing the automation of software delivery pipelines, enabling rapid and reliable releases.
- Troubleshooting is a core aspect of your responsibilities. You'll need to swiftly and efficiently diagnose and resolve issues that arise in the development and production environments, minimizing downtime.
- Exceptional communication and collaboration skills are essential. You'll work closely with cross-functional teams, bridging the gap between development and operations, and ensuring smooth coordination.
- Proficiency in Cloud-native applications is crucial. You'll be tasked with architecting, deploying, and managing applications in cloud environments, harnessing the benefits of scalability and resilience.
- A solid grasp of Distributed Computing principles is fundamental. It enables you to design and implement systems that can handle complex, distributed workloads effectively.
- Your coding skills, particularly in Bash Shell Scripting and Python, will play a pivotal role. These skills empower you to automate tasks and develop tools to enhance system reliability and efficiency.
- Provide technical guidance to the team, helping to resolve complex technical issues and production problems.
- Certified Kubernetes Administrator (CKA) & Certified Jenkins Engineer
For organizations seeking to improve document processing accuracy, speed, and efficiency, Foundation AI delivers transformative AI-powered solutions that streamline labor-intensive processes, reduce costs, and optimize decision-making. Our transformative, AI-powered technology helps organizations easily identify, classify, and extract critical data from their documents, along with automate workflows, like document routing and escalation. Focused on the insurance and legal industries, our technology solution transforms how organizations work and succeed by leveraging advances in computer vision, natural language processing and machine learning.
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