Software Developer 4

As a Senior Applications Engineer, you should be proficient in writing performant code in Java and Python, building distributed systems, containerization, orchestration, and cloud-native architectures. You will collaborate with cross-functional teams to build scalable, reliable, and production-ready solutions. Oracle is investing heavily in Generative AI, having a good understanding and experience in leveraging the capabilities of Large Language Models and working with ML scientists would be a plus.

In this role, you will design, develop, and build scalable services that leverage from latest and greatest advancements in software developmentto solve complex business problems intelligently.

Your expertise will be pivotal in building end to end software solutions flows that includes data base design, conversational AI solutions, Agentic flows using LLM and other cutting-edge techniques to shape up and enhance users' experience. You will also partner with product managers, software engineers, and operation teams to leverage engineering innovations to simplify the business requirements into scalable solutions.

The ideal candidate is highly technical, proficient in Java and Python, data base designs and have experience of building scalable solutions, can lead across the full stack, along with good product sense and business understanding, to map the technology choices to the context of each initiative.

Career Level - IC4

Responsibilities 

Write elegant and performant code in Java and Python.

Create detailed technical designs specifications, present it to the team and write code as per the design.

Perform thorough code reviews for the Java code written by peers. Pinpoint performance and availability problems, instrument relevant components as needed, and ultimately implement solutions.

Design and build scalable solutions for distributed systems using micro services.

Build high-quality, scalable, and efficient software solutions that brings GenAI capabilities, leveraging latest advancements such as Agentic LLM and RAG frameworks, etc. in GenAI space.

Leverage Oracle Cloud Infrastructure to develop reusable, highly performant applications with low-latency serving and reliable means to update/re-train ML models.

Work collaboratively with cross-functional partners including product managers, operations team, and data scientists.

Communicate continually with the project teams and explain progress on the development effort.

Ensures quality of work through development standards and QA procedures.

Keen on improvising technical solutions and processes emphasizing discovery through doing, iteration, and feedback loops.

Identify opportunities for business impact, understand and prioritize requirements for machine learning systems and data pipelines, drive engineering decisions, and quantify impact.

Attracts, grows, and develops the engineering team with builders and creators.

Minium Qualifications

BS/MS in Computer Science or related fields

Proficient in Java and object-oriented concepts.

Proficient in Python and ML stack.

Proficient in Data modeling and database design.

Proficient in Data structures and Algorithms

Should be able to contribute to the design reviews and have opinion about design decisions.

Good working knowledge of Microservices Architecture, Application Architecture, and Technology Architecture.

Experience with containers and cloud native components

Experience with scripting languages for developing automations

Experience in developing resilient and fault tolerant systems.

Proficiencies

Java - HIGH

Python - HIGH

Micro services development- HIGH

Database Design - MEDIUM

Devops- ability to use CICD stack and deploy code to different environments - High

Experience in monolithic to micro services application development - High

Ability to troubleshoot - High

Able to understand, debug end to end flows/architecture- High

Knowledge of design patterns - High

Skills: