DevOps Engineer

DevOps Engineer

About Sheshi

SHESHI.AI , fast-growing SaaS 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 DevOps 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 (IaC) tools like Terraform, CloudFormation, 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, GitLab CI/CD, and ArgoCD.

• 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 PagerDuty 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, GuardDuty, Aqua Security, or Sysdig Secure.

• Manage secrets using AWS Secrets Manager or HashiCorp Vault.

• (Optional) Perform penetration testing and ensure compliance with industry standards.

9. Database Management:

• Work with SQL and NoSQL databases such as PostgreSQL, MongoDB, 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 IaC tools like Terraform and CloudFormation.

• Experience with CI/CD tools (e.g., Jenkins, GitLab CI/CD, ArgoCD).

• 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 PostgreSQL, MongoDB, Redis, and database monitoring tools.

• Exposure to progressive delivery (Flagger) and incident management systems (PagerDuty, Opsgenie).

Soft Skills:

• Strong problem-solving and troubleshooting skills.

• Ability to work collaboratively in a fast-paced, dynamic environment.

• Excellent communication skills to interact with technical and non-technical stakeholders.

Education Experience:

• Bachelor s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).

• 4+ years of experience as a DevOps Engineer or similar role.