- Design, develop, and maintain scalable enterprise applications and cloud-native solutions.
- Lead technical design discussions, establish architectural standards, and provide guidance to engineering teams.
- Develop and support Python-based applications and RESTful APIs using modern frameworks such as FastAPI, Flask, or similar technologies.
- Build and maintain microservices, distributed systems, and event-driven architectures to support high-volume business processes.
- Design, optimize, and support cloud-native solutions on Google Cloud Platform (GCP).
- Implement containerized applications using Docker and orchestrate deployments through Kubernetes (GKE).
- Develop and maintain automated CI/CD pipelines, ensuring reliable and efficient software delivery.
- Collaborate with product owners, architects, data engineers, and business stakeholders to define and deliver technical solutions.
- Design and support streaming and messaging solutions using Kafka or similar event-driven platforms.
- Develop scalable data processing solutions leveraging cloud-native data technologies such as BigQuery, BigTable, and SQL-based platforms.
- Ensure application reliability, performance, security, observability, and operational excellence through monitoring and optimization.
- Design, implement, and operationalize Generative AI solutions, including LLM-powered applications, Retrieval-Augmented Generation (RAG), and AI agent workflows.
- Integrate enterprise applications with AI platforms such as Vertex AI, Gemini, OpenAI, Claude, or similar technologies.
- Perform code reviews, mentor engineers, and promote software engineering best practices across teams.
- Troubleshoot complex production issues, perform root cause analysis, and implement preventative solutions.
- Drive continuous improvement initiatives related to system architecture, automation, development processes, and engineering standards.
- Communicate technical concepts effectively to both technical and non-technical stakeholders and support strategic technology initiatives.
- 5+ years of software engineering experience, including designing and supporting enterprise-scale applications.
- 2+ years of experience serving as a Technical Lead, Sr Engineer, or equivalent technical leadership role.
- Strong expertise in Python application development and modern API frameworks such as FastAPI, Flask, or similar technologies.
- Experience designing and implementing microservices, distributed systems, and RESTful APIs.
- Strong experience with Google Cloud Platform (GCP) and cloud-native application development.
- Hands-on experience with:
- Kubernetes (GKE)
- Docker/Containerization
- CI/CD pipelines and DevOps practices
- GitHub and modern source control practices
- Experience developing and supporting event-driven and streaming solutions using technologies such as Kafka or similar messaging platforms.
- Experience working with cloud-native data technologies including BigQuery, BigTable, SQL, and large-scale data processing solutions.
- Strong understanding of software architecture, design patterns, system reliability, performance optimization, and observability.
- Hands-on experience implementing and operationalizing:
- Generative AI solutions
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- AI Agents and Agentic AI workflows
- Prompt engineering and model evaluation frameworks
- Experience integrating enterprise applications with AI platforms such as Gemini, Vertex AI, OpenAI, Claude, or similar technologies.
- Strong analytical, troubleshooting, and production support skills.
- Excellent communication, collaboration, and stakeholder management skills.
Skills Required
- 5+ years of software engineering experience, including designing and supporting enterprise-scale applications
- 2+ years serving as a Technical Lead, Senior Engineer, or equivalent technical leadership role
- Strong expertise in Python application development and modern API frameworks such as FastAPI or Flask
- Experience designing and implementing microservices, distributed systems, and RESTful APIs
- Strong experience with Google Cloud Platform and cloud-native application development
- Hands-on experience with Kubernetes, GKE, Docker, containerization, CI/CD pipelines, DevOps practices, and GitHub
- Experience developing and supporting event-driven and streaming solutions using Kafka or similar messaging platforms
- Experience with BigQuery, BigTable, SQL, and large-scale cloud data processing solutions
- Strong understanding of software architecture, design patterns, system reliability, performance optimization, and observability
- Hands-on experience implementing and operationalizing Generative AI, LLMs, RAG, AI agents, agentic AI workflows, prompt engineering, and model evaluation frameworks
- Experience integrating enterprise applications with Gemini, Vertex AI, OpenAI, Claude, or similar AI platforms
- Strong analytical, troubleshooting, and production support skills
- Excellent communication, collaboration, and stakeholder management skills
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
