Full Stack Developer (.Net exp is a must)

Experience: 8+ years

Stacks: React/TypeScript, .NET Core, Java, Go

The role

We need a true full-stack engineer who owns a feature from the database schema through the API to the interface a user clicks and does not hand off at the boundary. Our platform runs services in four languages, so the work regularly crosses a language line mid-problem. You will write code most days, review a lot of it, lead the design of medium-sized features, and be the person a mid-level engineer asks when something fails in production in a way the logs do not immediately explain.

Stack proficiency

We are not looking for expert-level depth in all four backend languages. What we need is:

• Strong proficiency in the front-end stack — React and TypeScript, in production, at a level where you make architectural calls rather than follow patterns.
• Strong proficiency in at least one backend language — .NET Core, Java or Go.
• A genuine willingness to learn the others. You read unfamiliar code without flinching, and you expect to be useful in a second backend language within a quarter.

Depth in two backend languages is a real advantage, not a requirement.

Hard skills

• Languages: React + TypeScript (strict mode, typed API clients). Then one or more of: ASP.NET Core / C# with EF Core; Spring Boot / JVM; idiomatic Go with goroutines and context.
• Architecture: Clean architecture or hexagonal, dependency inversion, clear service boundaries. REST API design with OpenAPI contracts. Event-driven patterns — queues, idempotency, retries with backoff. Judgment about when a pattern is overkill.
• Databases: Strong PostgreSQL — schema and index design, reading EXPLAIN ANALYZE, transactions and isolation levels, versioned migrations. Redis for caching.
• AWS: Production experience with ECS/EKS or Lambda, RDS, S3, SQS/SNS, Secrets Manager, CloudWatch, IAM least privilege. Terraform or CDK.
• Containers: Docker including multi-stage builds. Working Kubernetes knowledge

— deployments, config and secrets, resource limits, debugging a pod that will not stay up.

• CI/CD: Pipelines you have built and maintained (GitHub Actions, GitLab CI, Azure DevOps). Trunk-based development, tests as a real merge gate, migrations in the deploy path, blue/green or canary rollout with a rollback you have used.
• Observability: Structured logging, metrics, distributed tracing with OpenTelemetry.
• Security: OWASP Top 10, OAuth 2.0 / OIDC, JWT, role- and attribute-based access control, secrets out of source control.
• Testing: Unit, integration against real dependencies (Testcontainers), and contract tests between services.
• Git and agile: Rebasing, bisecting, clean commit history. Comfortable in Scrum or Kanban — refinement, story slicing, honest estimation.

AI tooling

We use AI coding tools daily and expect the same from this role.

• Hands-on experience with agentic coding tools — Claude Code, Cursor, GitHub Copilot or equivalent — used on real production work, not just tried once.
• The judgment to review AI output critically. You do not merge code you cannot explain, and you catch the plausible-but-wrong answer.
• A sense of where these tools pay off and where they cost more than they save.
• Bonus: experience building with LLM APIs, or setting up AI tooling and conventions for a team.

Soft skills

• English fluency. Stand-ups, design discussions, incident calls and code review all happen in English, daily, with a distributed team. You need to be able to disagree with a colleague about an architectural decision in real time, on a call, and be understood precisely.
• Strong written communication. Pull request descriptions, design documents and status updates that a reader in another time zone can act on without a follow-up meeting.
• Autonomy. You can take an under-specified problem, ask the three questions that matter, and make progress without daily direction.
• Ownership. You participate in on-call, respond to incidents, and write the follow-up that stops the same failure twice.
• Mentorship. You review code in a way that teaches, and you pair with mid-level engineers rather than letting knowledge concentrate in one person.
• Pragmatism. You push back on complexity that is not paying for itself, and you flag slippage early rather than at the deadline.

Nice to have

• Workflow orchestration — Temporal, Camunda, Step Functions or similar durable execution engines
• Kafka or another event streaming platform at meaningful volume

Requirements summary

• 8+ years professional software engineering, at least five owning backend services in production
• Strong React/TypeScript plus at least one of .NET Core, Java or Go
• Production PostgreSQL, AWS, Docker and CI/CD experience
• Hands-on AI coding tool experience
• English C1+, spoken and written

Please share your updated resume at hr@magnongroup.com

Note: The brief above is for reference purposes and to give a basic understanding of the role.

About us:

Omnicom Production / Magnon (India) is one of the country’s largest integrated advertising, digital, and marketing-performance agency groups. As part of the Fortune 250 Omnicom Group (NYSE: OMC), OP / Magnon (India) operates with over 800 professionals across its offices in Delhi, Mumbai, and Bangalore.

The Group comprises three award-winning agencies — Omnicom Production (India), magnon agency, and magnon sancus — delivering comprehensive, end-to-end marketing solutions. These span advertising, digital and social media, creative production, media services, localization, linguistics, and outsourced marketing-solutions labs supporting leading global and Indian brands.

OP / Magnon (India) is an equal opportunity employer. We welcome talent from all sections of society and do not discriminate on the basis of race, colour, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, or any other characteristic protected by applicable law.

To know more about us, please visit – www.magnongroup.com.