Sheshi - DevOps Engineer - Docker/Kubernetes

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 :

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.

Infrastructure Management :

- Manage and optimize servers, networks, and storage systems.

- Implement and manage Infrastructure as Code (IaC) tools like Terraform, CloudFormation, Pulumi, or Ansible.

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.

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.

CI/CD Pipelines :

- Develop and maintain CI/CD pipelines for efficient software delivery.

- Implement deployment methodologies like Blue/Green and Canary releases.

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.

Collaboration :

- Collaborate with development teams to align solutions with their goals.

- Use collaboration tools such as Jira and Confluence to document and manage projects.

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.

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.