Software Development Engineer II
Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Feb 1, 2024. Safe Security scores B on the Alion truth index.
Job Overview:
We are seeking an experienced and passionate Engineer to join our engineering team. As a senior engineer, you will lead a high-performing engineering team working closely with our Design, Product, and other stakeholders to develop and deliver core product features that help in predicting and preventing cyber breaches.
Location: Bengaluru
Key Responsibilities:
Code Mastery: Own feature development and write clean, efficient, maintainable, and production-quality code that drives the product forward.
Technical Contribution: Participate actively in architecture and design discussions and contribute to building scalable, secure, and high-performance solutions.
Code Review: Conduct thorough code reviews to maintain code quality, identify opportunities for improvement, and provide constructive feedback to other engineers.
Cloud Integration: Work with cloud services such as AWS Lambda, API Gateway, EC2, S3, RDS, and other relevant AWS services to build and optimize cloud-based solutions.
Problem Solving: Troubleshoot and resolve complex technical problems by identifying root causes and implementing effective, scalable solutions.
Collaboration: Work closely with product managers, designers, engineers, and other stakeholders to ensure technical solutions are aligned with product and business objectives.
Project Execution: Contribute to project planning and execution and take ownership of delivering features within agreed timelines and scope.
Qualifications:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
3-5 years of professional software development experience building scalable backend systems.
Strong proficiency in Go, Python, or Node.js for backend development.
Experience designing and building RESTful APIs and microservices architectures.
Solid understanding of distributed systems concepts such as concurrency, caching, asynchronous processing, and fault tolerance.
Hands-on experience with cloud platforms such as AWS, GCP, or Azure.
Experience building and deploying applications in containerized environments using Docker and Kubernetes.
Strong understanding of SQL and NoSQL databases, including performance optimization techniques.
Experience participating in system design discussions and architecture decisions.
Ability to work effectively in a fast-paced environment with a high degree of ownership.
Strong problem-solving and debugging skills.
Working knowledge of Generative AI and LLM fundamentals, including how LLMs work, tokens, context windows, prompting, hallucinations, and common limitations.
Hands-on experience using AI-assisted development tools such as Cursor, Claude Code, GitHub Copilot, or equivalent, with the ability to critically review and validate AI-generated code.
Basic understanding of building applications using LLM APIs, including prompting, structured outputs, and tool/function calling.
Understanding of how to evaluate AI/LLM outputs using appropriate datasets and metrics, and how to measure accuracy and detect regressions rather than relying only on subjective evaluation.