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Open nowPosted 263 days ago

Software Development Engineer 4 - Java & Gen AI - R31960

ScaleneWorks INC

Where
Bangalore
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Your applicationOpen nowSoftware Development Engineer 4 - Java & Gen AI - R31960ScaleneWorks INC · Bangalore

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Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 263 days ago

The posting

Senior Software Engineer

## Company Overview (Company details not provided.)

## Job Summary The Senior Software Engineer is a technical leader and hands-on architect responsible for questioning established norms, driving innovation, and shaping the future of our distributed platforms and products. This role requires strong technical depth, architectural vision, and the ability to ideate, prototype, and scale systems to meet evolving business and customer needs.

## Responsibilities - Architect, design, and develop event-driven applications and microservices using Java, with expertise in frameworks such as Spring, Quarkus, MicroProfile, or other J2EE frameworks. - Lead architectural decisions across distributed systems, ensuring scalability, resilience, and adherence to Non-Functional Requirements (NFRs). - Build systems leveraging Kafka, NoSQL databases (preferably MongoDB), and distributed computing frameworks like Spark; hands-on experience with Scala and functional programming is desirable. - Own the full product lifecycle—from feasibility analysis and solution design to production rollout and maintenance. - Drive ideation, technical spikes, and prototyping to validate concepts and shape the future direction of products. - Mentor developers, guide scrum teams, and ensure high-quality delivery aligned with best engineering practices. - Collaborate closely with Product Management to understand customer personas, functional needs, and market direction to convert them into robust, data-driven product capabilities. - Work with globally distributed teams including Development Leads, Architects, Managers, and external stakeholders. - Integrate modern engineering practices including Continuous Integration/Continuous Deployment (CI/CD), monitoring, observability, and operational excellence. - Explore, evaluate, and integrate Generative AI and Agentic AI techniques to enhance developer experience, automation, operational efficiency, or product capabilities.

## Qualifications - 10–14 years of strong technical and architectural experience. - 4–5 years of experience in Java with deep expertise in Spring, Quarkus, or MicroProfile; strong command of microservices architecture. - 3–4 years of experience in Data Engineering using Spark, Hadoop, or equivalent distributed frameworks; strong understanding of stream processing with Kafka. - Strong expertise in NoSQL databases (preferably MongoDB), event-driven design, and distributed computing. - Exposure to Generative AI and Agentic AI frameworks and hands-on experimentation with integrating AI into engineering workflows or product components. - Demonstrated ability to solve complex scalability, performance, and reliability challenges in distributed environments. - Strong grounding in engineering best practices: design patterns, anti-patterns, Software Development Life Cycle (SDLC), code reviews, Test-Driven Development (TDD)/Unit testing, and high-quality coding standards. - Experienced with Splunk/ELK for logging, monitoring best practices, and observability. - Familiarity with Kubernetes, OpenShift, Helm, Jenkins, and modern DevOps practices is advantageous. - Cloud/SaaS experience, preferably with Azure. - Excellent collaboration, communication, and leadership skills with the ability to influence without authority. - A self-driven, exploratory mindset—comfortable experimenting with new technologies, driving Proof of Concepts (PoCs), and independently solving ambiguous technical problems.

## Preferred Skills - Familiarity with modern event-driven architectures and ability to evaluate new technologies in a practical context. - Experience with performance tuning and optimization in distributed systems. - Knowledge of industry standards and trends in software engineering and product development.

## Experience - 10–14 years of strong technical and architectural experience, particularly in software engineering and product development.

## Environment (Work environment details not provided.)

## Salary (Salary details not provided.)

## Growth Opportunities (Information on growth opportunities not provided.)

## Benefits (Details on benefits not provided.)

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