Senior DevOps Engineer

Accern enhances artificial intelligence (AI) workflows for financial service enterprises with a no-code AI platform. Researchers, business analysts, data science teams, and developers use Accern to build and deploy AI use cases powered by adaptive natural language processing (NLP) and forecasting features. The results are that companies cut costs, generate better risk and investment insights, and experience a 24x productivity gain with our industry-leading AI use cases. Allianz, IBM, and Jefferies are utilizing Accern to accelerate innovation. For more information on how we can accelerate AI adoption for your organization, visit accern.com

Key Highlights:

• Code-Free AI Platform to automate workflows for financial institutions. 
• Forbes 30 under 30 in Enterprise Technology.
• Pioneer in Natural Language Processing and Predictive Modeling for finance.

At Accern, we are propelling the adoption of state-of-the-art machine learning techniques in the financial services industry. Join us and be part of this revolution.

• You'll be building/managing a tech stack that includes Kubernetes on AWS/GCP/Azure/On-Prem
• Bring expert domain knowledge over fine tuning, scaling, monitoring big data tech stack like Kafka, Elastic Search, Spark, Postgres
• Experience with enabling cloud security is a major plus
• Test system integrity, application developments and other processes related to infrastructure, making improvements as needed
• Work with open-source technologies, CI/CD tools and source control such as GIT
• Help automate and streamline our operations and processes
• Manage code deployments, fixes, updates and related processes
• Available on call to troubleshoot system alerts
• Help estimate, plan and execute on projects, features, and integrations
• Stay current with industry trends and source new ways for our systems to improve

• Cloud Providers: 4+ years experience in setting up & managing infrastructure using cloud providers. (AWS/GCP/Azure/On premise experience)
• Participate in capacity planning and provisioning of new resources
• AWS Background is a plus: Experience with AWS EC2, Auto Scaling Groups, AWS EKS (Kubernetes), Load Balancers, Block Storage, File Storage, S3, Key Management Service, IAM, VPC, etc
• Orchestration/Containerization: Hands-on experience with and in-depth knowledge of Kubernetes (K8S)
• Working knowledge of microservices-based architecture and have a fair understanding of security best-practices (Application and Infrastructure)
• Experience creating/deploying K8S helm apps
• Monitoring/Alerting/Logging: Prometheus/Grafana/Loki/ Elasticsearch & Kibana
• Databases: Expert experience in deploying, maintaining and scaling distributed applications like Apache Kafka, Elasticsearch, Spark, and Postgres
• CI/CD: You have facilitated the setup of CI/CD pipelines for both on-prem and cloud environments using tools such as Jenkins, Github Actions, Gitlab, Circle CI, etc
• IAC: Experience/Exposure to infrastructure automation, such as Terraform or Ansible, and building/using/deploying Containers
• Proficient in scripting & automation using Python, Shell-scripting, etc
• Strong Linux System Admin Experience with excellent troubleshooting and problem solving skills
• Great organizational, communication, interpersonal and relationship building skills that make you a valuable co-worker in a fast, changing and ambiguous environment

Compensation / Benefits:

• Comprehensive health insurance to fit your needs
• Flexible vacation & sick policy
• All work from home hardware (MacBook, Display, etc.
• Competitive compensation package (can expand into equity)
• Flexible Work-From-Home policy