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

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 ).
• 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.