Software Engineer

Hackajob; Indore District, Ahmedabad District, Mumbai; Hybrid; INR 2,500,000 - 4,200,000; Full time

Job summary

Hackajob is seeking a senior software engineer to guide AI-assisted engineering practices, develop secure, high-quality production code, and drive governance across teams and vendors. You will contribute to the SDLC with a focus on code review, testing, and scalable architectures.

You will lead design decisions, act as a subject matter expert, and promote firmwide practices for reliable delivery. Proficiency in Java, Spring Boot, Kafka, and cloud-native apps is required, along with experience in

Qualifications

• Built large scale, high-throughput applications.
• Expert in Java, Spring Boot, Kafka; cloud-native apps.
• Experience with distributed systems and parallel processing.
• Experience using AI-assisted development tools and validating AI outputs.
• Strong secure coding practices and data handling.
• Ability to work independently with minimal oversight.

Responsibilities

• Provides technical guidance to the business and its technical teams, contractors, and vendors.
• Develops secure and high-quality production code, and reviews and debugs code written by others.
• Drives adoption and governance of AI-assisted engineering practices with measurable validation standards.
• Applies knowledge of SDLC toolchain to improve automation value at scale.
• Drives decisions influencing product design, app functionality, and operations.
• Acts as a function-wide SME in one or more focus areas.
• Contributes to the engineering community advocating firmwide frameworks and practices.

Skills

Large-scale systems

Distributed processing

Performance analysis

Secure coding practices

AI governance

Independent problem solving

Tools

Java

Spring Boot

Kafka

Kubernetes

APIGEE gateway

Cloud-native apps

AI-assisted development tools

Job description

Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle

Required qualifications, capabilities, and skills

• Proven expertise in building large scale & high throughput application
• Proficient in Java, Spring Boot, Kafka & cloud native applications
• Proficient in distributed systems and parallel processing
• Proficient in Performance Analysis and Tuning (Working knowledge of Java based Profiling and Monitoring Tools)
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.
• Ability to tackle design and functionality problems independently with little to no oversight

Preferred qualifications, capabilities, and skills

• Working experience of Kafka Streams, Even Driven Architecture, Microservices Architecture
• Good understanding of Behavior driven design
• Understanding of Kubernetes, APIGEE gateway and cloud services
• Working knowledge of agentic workflows
• Proven production deliverables in agentic AI
• Hands-on across the modern AI toolchain