{"id":174769,"url":"https://alion.io/job/safe-software-development-engineer-ii","title":"Software Development Engineer II","company":{"id":48325,"name":"Safe Security","domain":"safe.security","url":"https://alion.io/company/safe-security","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":82,"open_postings":18,"ghost_share":0.222,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":111,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EC2","optional":false},{"name":"Amazon S3","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Azure","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Docker","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Node JS","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Structured Outputs","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2024-02-01T17:18:52Z","employer_posted_date":"2024-02-01","last_verified_at":"2026-10-16T15:56:51Z","board_verified":true,"closed_at":null,"days_open":987,"trust":{"level":"ghost","repost_count":1,"flags":["stale","company_stale"],"days_open":987},"description":"Job Overview:\nWe 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.\nLocation: Bengaluru\nKey Responsibilities:\nCode Mastery: Own feature development and write clean, efficient, maintainable, and production-quality code that drives the product forward.\n\nTechnical Contribution: Participate actively in architecture and design discussions and contribute to building scalable, secure, and high-performance solutions.\n\nCode Review: Conduct thorough code reviews to maintain code quality, identify opportunities for improvement, and provide constructive feedback to other engineers.\n\nCloud 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.\n\nProblem Solving: Troubleshoot and resolve complex technical problems by identifying root causes and implementing effective, scalable solutions.\n\nCollaboration: Work closely with product managers, designers, engineers, and other stakeholders to ensure technical solutions are aligned with product and business objectives.\n\nProject Execution: Contribute to project planning and execution and take ownership of delivering features within agreed timelines and scope.\n\nQualifications:\nBachelor’s or Master’s degree in Computer Science, Engineering, or a related field.\n\n3-5 years of professional software development experience building scalable backend systems.\n\nStrong proficiency in Go, Python, or Node.js for backend development.\n\nExperience designing and building RESTful APIs and microservices architectures.\n\nSolid understanding of distributed systems concepts such as concurrency, caching, asynchronous processing, and fault tolerance.\n\nHands-on experience with cloud platforms such as AWS, GCP, or Azure.\n\nExperience building and deploying applications in containerized environments using Docker and Kubernetes.\n\nStrong understanding of SQL and NoSQL databases, including performance optimization techniques.\n\nExperience participating in system design discussions and architecture decisions.\n\nAbility to work effectively in a fast-paced environment with a high degree of ownership.\n\nStrong problem-solving and debugging skills.\n\nWorking knowledge of Generative AI and LLM fundamentals, including how LLMs work, tokens, context windows, prompting, hallucinations, and common limitations.\n\nHands-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.\n\nBasic understanding of building applications using LLM APIs, including prompting, structured outputs, and tool/function calling.\n\nUnderstanding of how to evaluate AI/LLM outputs using appropriate datasets and metrics, and how to measure accuracy and 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