Devops engineer

2 weeks ago

Bangalore, India Sheshi AI Full time

Dev Ops Engineer About Sheshi SHESHI. AI , fast-growing Saa S platform and is at the forefront of applying artificial intelligence (AI) and automation to make financial reporting and analytics faster and more efficient. With an exceptional 0 to 1 journey, we are all set to move into the growth phase of the company and are looking to add exceptional talent across all verticals in the company. Here are a few reasons why Sheshi is a great place to work at: Challenge yourself and learn new technologies continuously. Solve Unique Problems that were never solved before. Revolutionize the Fintech sector with Artificial Intelligence & Machine Learning (AI/ML). Exhibit your creativity and make users fall in love with Finance. Hangout, Collaborate & enjoy your work with vibrant teams. We are seeking a skilled and experienced Dev Ops Engineer to design, develop, and maintain a robust and scalable platform supporting our applications and services. You will collaborate with cross-functional teams, optimize infrastructure, and drive automation and observability. The ideal candidate will have a passion for continuous improvement, strong problem-solving abilities, and expertise in cloud technologies, containerization, and CI/CD pipelines. Key Responsibilities: 1. Platform Development: Design, develop, and maintain scalable, reliable, and secure platforms for supporting applications and services. Expertise in cloud platforms, with AWS being a must-have (experience with Azure or GCP is a plus). Proficiency in containerization technologies like Docker, Kubernetes (including EKS or GKE) Leverage serverless technologies such as AWS Lambda, Fargate, and ECS for scalability and efficiency. 2. Infrastructure Management: Manage and optimize servers, networks, and storage systems. Implement and manage Infrastructure as Code (Ia C) tools like Terraform, Cloud Formation, Pulumi, or Ansible. 3. Observability: Set up and manage monitoring, logging, and alerting infrastructure. Use tools like Opentelemetry, ELK, Prometheus, and Grafana. (Optional) Work with distributed tracing tools like Jaeger or Zipkin and event-driven monitoring tools like Honeycomb.io. 4. Automation: Drive automation and continuous improvement of infrastructure orchestration, deployments, and upgrades. Utilize CI/CD tools such as Jenkins, Git Lab CI/CD, and Argo CD. Strong expertise in scripting languages like Python and Bash, and configuration management tools like Ansible. Implement progressive delivery with tools like Flagger. 5. CI/CD Pipelines: Develop and maintain CI/CD pipelines for efficient software delivery. Implement deployment methodologies like Blue/Green and Canary releases. 6. Monitoring and Troubleshooting: Continuously monitor platform performance and proactively identify and resolve issues. Experience with log aggregation tools like Fluentd and Logstash, and incident management platforms like Pager Duty or Opsgenie is a plus. 7. Collaboration: Collaborate with development teams to align solutions with their goals. Use collaboration tools such as Jira and Confluence to document and manage projects. 8. Security: Implement security best practices and protect platform and data integrity. Use tools like IAM roles, security groups, Guard Duty, Aqua Security, or Sysdig Secure. Manage secrets using AWS Secrets Manager or Hashi Corp Vault. (Optional) Perform penetration testing and ensure compliance with industry standards. 9. Database Management: Work with SQL and No SQL databases such as Postgre SQL, Mongo DB, and Redis (optional). Monitor databases using tools like Percona Monitoring and Management (PMM). Requirements: Mandatory Skills: Proven experience with AWS and containerization technologies (Docker, Kubernetes, EKS, or GKE). Proficiency in scripting languages such as Python, Bash, and Ia C tools like Terraform and Cloud Formation. Experience with CI/CD tools (e.g., Jenkins, Git Lab CI/CD, Argo CD). Hands-on experience with monitoring tools like ELK, Prometheus, and Grafana. Preferred Skills: Knowledge of Azure, GCP, and serverless technologies like AWS Lambda. Experience with distributed tracing (Jaeger, Zipkin) and event-driven monitoring tools (Honeycomb.io). Familiarity with database systems like Postgre SQL, Mongo DB, Redis, and database monitoring tools. Exposure to progressive delivery (Flagger) and incident management systems (Pager Duty, Opsgenie). Soft Skills: Strong problem-solving and troubleshooting skills. Ability to work collaboratively in a fast-paced, dynamic environment.

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