# AI-Enabled Software Engineering & Microservices/ Senior Associate Director, Software Engineering

**Company**: GCIO
**Location**: Pune, Maharashtra
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://portal.careers.hsbc.com/careers/job/563774612381667?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_f6e3d8a8-03a

## Description

We are currently seeking an experienced professional to join our team in the role of Sr. Associate Director, Software Engineering.

In this role, you will:

- Design, develop, test, and support microservices using Spring boot, Java and Python, applying clean architecture and SOLID principles.

- Developer experience uplift: Reduce engineering friction via developer tooling, CI/CD optimization, test automation, observability standards, and self-service enablement.

- Write high-quality automated tests (unit/integration/contract) and contribute to non-functional requirements (NFRs) including resilience, scalability, and observability.

- Collaborate with product, architecture, platform, security, and operations to deliver outcomes at pace.

- Architecture and technical governance: Lead design reviews decisions

- Identify and drive AI opportunities across the SDLC (e.g., test generation, refactoring assistance, defect triage, knowledge management, runbook improvements) and/or product capabilities.

- Set AI-enabled engineering direction (platform + product): Define and champion practical AI-enabled patterns (including agent-based tooling) that improve SDLC

- Prototype AI-assisted solutions, evaluate outcomes (accuracy, cost, latency), and recommend scalable approaches.

- Embed AI into products responsibly: Partner with product engineering to integrate AI into production with appropriate controls, explainability (where relevant), and operational readiness.

- Coach peers on effective, safe usage patterns and contribute reusable components, templates, and guidelines.

To be successful in this role, you should meet the following requirements:

- Strong hands-on development experience with Microservices, Spring boot, Java, Spark, Kubernetes, Event driven Architecture.

- Microservices fundamentals: domain boundaries, versioning, backward compatibility, API design, and asynchronous patterns (queues/events).

- CI/CD and engineering: Git, branching strategy, code reviews, build pipelines, automated testing.

- Observability and runtime support: structured logging, metrics, tracing, dashboards, alerting (tooling varies by platform).

- Good understanding of containerization and deployment concepts (e.g., Docker, Kubernetes/OpenShift,whichever applies in your stack).

- Experience applying LLMs / GenAI in engineering workflows (e.g., accelerating development, test strategy, documentation) with measurable improvements.

- AI-enabled software engineering at scale: Experience applying AI (incl. agent-based/AI tooling) to transform how teams build, test, release, and operate software.

- Production AI delivery with measurable impact: Track record embedding AI into products and/or engineering workflows, demonstrating tangible outcomes.

- Awareness of AI risks (hallucination, data leakage, bias) and practical mitigations.

- Strong problem-solving skills and a bias for delivery (“get it done” without cutting corners).

## Skills

### Required
- Microservices
- Spring boot
- Java
- Python
- Kubernetes
- Event driven Architecture
- Git
- Docker
- Spark
- LLMs / GenAI

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Source: [Apply at portal.careers.hsbc.com](https://portal.careers.hsbc.com/careers/job/563774612381667?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)