CUBE Recruitment 2026 – CUBE is scheduled to hire Associate Software Engineers for B.E/B.Tech candidates. Candidates looking for jobs in Bangalore can utilise this opportunity. Interested and eligible candidates can apply online as soon as possible. The detailed eligibility criteria and application process are given below. Interested candidates can also try Unisys Careers.

CUBE Recruitment 2026 – Details

Job Role	Associate Software Engineer
Job Type	IT Jobs
Qualification	B.E/B.Tech
Experience	0 – 3 Years
Salary/CTC	Best in Industry
Job Location	Bangalore
Last Date	ASAP

Detailed Eligibility:

Associate Software Engineer:

Qualification must be B.E/B.Tech

Requirements

Must Have

0–3 years of professional Python development (internships, contract work, and strong academic projects count).
Solid Python fundamentals: data structures, OOP, error handling, list comprehensions, and basic async awareness.
Exposure to at least one web framework — Django, FastAPI, Flask, or similar.
REST API basics: HTTP methods, status codes, JSON request/response, and understanding of what an API endpoint does.
Git fundamentals: commit, branch, pull request, and basic merge conflict resolution.
Strong self-directed learning instinct — able to demonstrate independently acquired technical skills with examples.
Clear written English: PR descriptions, code comments, and documentation.

Strong Plus

Any hands-on exposure to event-driven systems — message queues, pub/sub, async tasks — in academic or project context.
Basic Data Lake or data pipeline awareness: ETL, CSV/JSON file processing, any cloud storage interaction.
Docker at basic level: build and run a container.
Azure exposure at any level: AZ-900 coursework, hands-on projects, or certification.
Open-source contributions or a personal Python project portfolio.

Responsibilities

Development

Implement bug fixes, small features, and test improvements in Python/FastAPI/Django under structured senior guidance.
Write unit tests (pytest) for all developed code; learn to read coverage reports and identify branch coverage gaps.
Study and apply squad coding standards: event schema conventions, Pydantic model patterns, REST API response formats, and Data Lake write templates.
Participate in pair programming sessions as both driver and navigator, with defined learning goals each session.
Read and document existing event consumer code, Data Lake transformation pipelines, and REST API implementations as part of onboarding.

Architecture Exposure

Attend all architecture reviews and design discussions as an active observer — taking notes, asking clarifying questions, and summarising key decisions in the squad wiki.
Shadow senior engineers during system design whiteboarding — learning to read sequence diagrams, event flow maps, and Data Lake zone diagrams.
Study the Lane 01 architecture map — understanding each microservice, event flow, Data Lake zone, and REST API surface in the full pipeline.
Complete one self-directed study of a core architectural pattern per quarter (e.g. Bronze/Silver/Gold Data Lake model, event-driven saga, API versioning strategy) and present a short summary to the squad.

Event-Driven & Data Lake Foundations

Learn RabbitMQ consumer patterns by working within existing implementations — understanding exchange types, routing keys, acknowledgement modes, and dead-letter queue behaviour.
Implement Bronze zone write tasks: land raw documents to ADLS Gen2 with correct metadata and partitioning under senior guidance.
Add Silver zone data quality validation rules — field validation checks and schema assertions — to existing transformation pipelines.
Learn to read Event Hubs consumer lag metrics and offset commits during on-call shadow rotations.

REST API Foundations

Implement minor FastAPI endpoint additions under senior review — applying Pydantic response models, HTTP status code conventions, and OpenAPI documentation standards.
Write integration tests for assigned endpoints covering happy path, validation error, and auth failure scenarios.
Contribute to OpenAPI documentation updates — parameter descriptions, example payloads, and error code references.
Learn OAuth2/Azure AD token validation by working within existing FastAPI authentication middleware.

Quality & Growth

Participate in code reviews — observer initially, then structured reviewer within 60 days.
Complete mandatory certifications within 6 months: Microsoft Azure Fundamentals (AZ-900) and one Python testing or data engineering foundations course.
Submit a monthly technical learning note to the squad wiki — a concept studied with a practical codebase example.
Proactively surface blockers in standups; never sit on a blocker more than one working day without flagging.