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Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead and manage a team of engineers in building observability features for Atlassian's Unified Telemetry Platform. Collaborate with product teams and drive project delivery in a microservices setting.
Top Skills:
Agile Software Development MethodologiesMicroservicesMl/AiWeb Applications
Cloud • Fintech • Information Technology • Machine Learning • Software • App development • Generative AI
As a Staff Software Engineer, you'll design and develop cloud-based applications and backend services, mentor team members, lead technical discussions, and ensure high software quality standards.
Top Skills:
.NetAmazon Web ServicesC#GCPJavaScriptAzureNo-SqlReactRestful ApisSQLTypescript
Cloud • Fintech • Information Technology • Machine Learning • Software • App development • Generative AI
As a Staff Software Engineer, build innovative applications and data platforms, mentor team members, and drive technical decisions in a collaborative agile environment.
Top Skills:
.Net.Net CoreAWSAzureC#ETLGCPNo-SqlPythonSQL
Role Overview
We are seeking a seasoned AI Technical Lead with a strong Full Stack development background and over 15 years of experience in architecting scalable enterprise applications. This role demands a visionary leader who can drive AI integration across platforms, manage customer relationships, mentor teams, and ensure technical excellence throughout the development lifecycle.
Key Responsibilities
🧱 Architecture & Development
- Design and architect scalable, secure, and high-performance AI-driven applications.
- Lead end-to-end solutioning across front-end, back-end, cloud, and data layers.
- Evaluate and integrate AI/ML models using platforms like Azure OpenAI, Cognitive Services, etc.
- Ensure alignment with enterprise architecture standards and compliance frameworks.
👥 Team Leadership & Mentorship
- Lead cross-functional development teams, fostering a culture of innovation and accountability.
- Provide technical guidance, code reviews, and best practices to ensure quality delivery.
- Onboard, train, and mentor new joiners to accelerate their integration and productivity.
🤝 Customer & Stakeholder Engagement
- Collaborate with clients to understand business needs and translate them into technical solutions.
- Present architectural proposals, demos, and roadmaps to internal and external stakeholders.
- Act as a trusted advisor, ensuring customer satisfaction and long-term engagement.
📈 Strategic Contribution
- Contribute to product strategy, roadmap planning, and technology evaluations.
- Identify automation opportunities and drive process improvements using AI.
- Stay abreast of emerging technologies and recommend adoption strategies.
Required Skills & Qualifications
- 15+ years of experience in software development, with deep expertise in Full Stack technologies (e.g., .NET, React/Angular, Node.js, Python).
- Proven experience in architecting enterprise-grade applications and AI integrations.
- Hands-on experience with cloud platforms (Azure preferred), microservices, and containerization.
- Strong understanding of AI/ML concepts, APIs, and deployment strategies.
- Excellent leadership, communication, and stakeholder management skills.
- Experience in mentoring teams and driving technical excellence.
- Familiarity with compliance standards (e.g., PCI DSS, FedRAMP) is a plus.
Preferred Attributes
- Strategic thinker with a customer-centric mindset.
- Passion for innovation and continuous learning.
- Ability to balance technical depth with business acumen.
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
