DevOps Engineer/Python and Go Engineer

We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you. Job Title: DevOps Engineer/Python and Go Engineer Clearance required: Active SC Location: Remote Duration: 04 months The candidate should have the following qualities and experience: Personal traits: Passion for technology Showing initiative and diligence Self-learning Being a team player, ie take ownership of contributing to the overall team capability and knowledge Must have: Python Development Proficient in building Back End systems, automation tools, microservices, and APIs.

Experienced with libraries such as boto3 (AWS), ldap3, hvac (Vault), jira, and kubernetes (via kubernetes-client). Proficient with modern Python features (asyncio, type hints, context managers) Go (Golang) Development Development of efficient, concurrent applications and services.

Skilled in building CLI tools, REST APIs, and interacting with external services. Familiar with go modules, error handling patterns, testing, and code organization. AWS Services & API Integration Deep experience using AWS SDKs in both Python (boto3) and Go (aws-SDK-go-v2) to: Interact with services like EC2, S3, IAM, CloudWatch, and Lambda.

Automate infrastructure provisioning and manage cloud resources. Handle IAM roles, credential management, and secure service integrations. LDAP, Vault, JIRA/Confluence, Kubernetes Integration in Python & Go LDAP : Authentication and user/group management using ldap3 in Python.

Experience with enterprise directories such as OpenLDAP and Active Directory. HashiCorp Vault: Secure secret management using the hvac Python client. Automated retrieval and renewal of secrets and tokens. JIRA & Confluence: Integration using jira and atlassian-python-API for automating tasks, ticket creation, and documentation workflows.

Kubernetes: Working with the Kubernetes API in Python using the official kubernetes client. Automation of deployment tasks, pod management, and cluster introspection. Testing & Quality Assurance Python Testing: Experience with pytest, unit test, and mocking tools (unit test.mock, responses). Use of coverage.py for test coverage analysis and integration with C...

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