{"id":1272932,"url":"https://alion.io/job/safe-security-engineering-manager","title":"Engineering Manager","company":{"id":3801232,"name":"Safe Security","domain":"lucideustech.com","url":"https://alion.io/company/safe-security-2","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India","India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":30000,"max_usd":80000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":22},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon S3","optional":false},{"name":"Angular","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Fargate","optional":false},{"name":"AWS Lambda","optional":false},{"name":"ChatGPT","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"DynamoDB","optional":false},{"name":"Hallucination","optional":false},{"name":"Incident Management","optional":false},{"name":"LLM","optional":false},{"name":"MySQL","optional":false},{"name":"Node JS","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RabbitMQ","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Redis","optional":false},{"name":"ScyllaDB","optional":false},{"name":"Sentry","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false},{"name":"Vue.js","optional":false},{"name":"JavaScript","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-08-31T04:20:13Z","employer_posted_date":null,"last_verified_at":"2026-08-31T04:20:13Z","board_verified":false,"closed_at":null,"days_open":34,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":34},"description":"Location : Bengaluru.\n\nMost boards and executives are currently flying blind when it comes to cyber risk. They are guessing. At Safe, we've built an AI-driven engine that finally gives the C-Suite a clear, quantified, and real-time view of their security posture. We don't just provide data; we provide certainty. We are a $170M Series C-funded category leader. We don't play in the mid-market; we operate at the highest levels of global enterprise. Today, we are proud to serve 10% of the Fortune 500, protecting global icons such as Apple, Netflix, AT&T, Verizon, and Victoria's Secret. As we scale toward our next chapter, we are looking for high-performers who want to do the best work of their careers at the intersection of AI and Cybersecurity.\n\nThe Culture Memo : Our Operating System \n\nSafe is not a typical corporate environment. We are a high-intensity, mission-driven team. We value builders who want to define a category and work alongside people who are equally committed to excellence.\n\n- Extreme Ownership : We don't do \"not my job.\" We hire people who see a gap and own the solution from start to finish.\n\n- The Elite Standard : We serve the most sophisticated companies on the planet. Our work must be bulletproof. Whether it's a line of code or a sales deck, we aim for Tier-1 quality every time.\n\n- Methodology & Rigor : We don't wing it. From Force Management and MEDDICC in sales to data-driven sprints in engineering, we rely on proven frameworks to stay disciplined and predictable.\n\n- Radical Candor : We move too fast for politics or sugar-coating. We value direct, honest feedback that helps us find the right answer quickly.\n\n- The Series C Hustle : We have the stability of a well-funded leader but the heart of a startup.\n\nThe Perks & Ownership : \n\nWe want our team to feel like owners because they are owners. We trust our people to manage their results and their time.\n\n- Meaningful Equity : Every \"Safestar\" is a shareholder. You aren't just an employee; you are a partner in our success.\n\n- Unlimited Leaves : We don't believe in clock-watching. We offer unlimited leave because we trust you to take the time you need to recharge while staying committed to the mission.\n\n- Comprehensive Benefits : We provide top-tier medical insurance and wellness benefits to ensure you and your family are well cared for.\n\n- Career Trajectory : We are growing aggressively. For high-performers, the path for advancement moves at the speed of your ambition.\n\nJob Overview : \n\nAs an Engineering Manager, you will : \n\n- Lead talented engineers by providing technical guidance, mentorship, delivery ownership, and strategic direction.\n\n- Contribute to solving complex scale, architecture, data, and AI-driven product problems.\n\n- Collaborate closely with Product, Design, Platform, DevOps, Security, and other engineering teams.\n\n- Help design and build core product features aimed at predicting, quantifying, and preventing cyber breaches.\n\n- Drive modern engineering practices, including AI-assisted coding, effective usage of tools like Cursor / GitHub Copilot / LLMs, and practical application of LLM-based systems such as RAG, agents, prompt engineering, and evaluation frameworks.\n\nCore Responsibilities : \n\n- Technical Leadership : Lead, mentor, and inspire a team of engineers, fostering a culture of ownership, continuous learning, growth, collaboration, and engineering excellence.\n\n- Technical Strategy : Define and execute the technical strategy and roadmap for your team, aligning it with business objectives, product priorities, customer commitments, and organizational goals.\n\n- Code Review : Conduct thorough code reviews to maintain code quality, improve maintainability, identify refactoring opportunities, and provide constructive feedback to team members, including on AI-generated code.\n\n- AI-Assisted Engineering : Drive adoption of AI-assisted coding and productivity tools such as Cursor, GitHub Copilot, ChatGPT, Claude, or similar tools for development, testing, debugging, documentation, codebase exploration, and refactoring.\n\n- LLM Awareness : Bring practical knowledge of LLMs, prompt engineering, RAG, AI agents, vector stores, model evaluation, and LLM observability, and guide teams in applying these concepts responsibly in product and engineering workflows.\n\n- Problem Solving : Troubleshoot and resolve complex technical issues, identify root causes, and implement effective long-term solutions across microservices, distributed systems, data platforms, and production environments.\n\n- Collaboration : Collaborate closely with product managers, designers, architects, DevOps, security, and other stakeholders to ensure alignment between technical solutions, product outcomes, customer needs, and business objectives.\n\n- Project Management : Lead the planning, execution, and successful delivery of features, ensuring they are completed on time, within scope, and to the highest quality standards.\n\n- Technical Excellence : Drive innovation and adoption of best practices in development, architecture, testing, observability, security, performance, cost optimization, and modern AI-native engineering practices.\n\n- Architectural Guidance : Be a thoughtful technical voice and support your team in making diligent architectural decisions across APIs, microservices, event-driven systems, cloud infrastructure, data stores, and AI-enabled capabilities.\n\n- Production Ownership : Ensure your team owns production quality through observability, incident management, RCA, bug hygiene, performance tracking, SLOs, and continuous reliability improvements.\n\n- Performance Management : Conduct regular performance evaluations, provide feedback, support professional growth, and coach engineers on technical depth, ownership, communication, and execution.\n\nQualifications/ Essentials Skills/ Experience : \n\n- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.\n\n- Minimum of 8 years of proven experience in software engineering, with at least 2 years in an engineering management role.\n\n- Strong hands-on experience in server-side technologies such as Node.js, TypeScript, Python, Go, or similar technologies.\n\n- Strong understanding of modern web development technologies such as React, Angular, Vue.js, or similar frameworks.\n\n- Strong knowledge of SQL and NoSQL databases, with experience optimizing database performance at scale.\n\n- Experience with modern cloud-native and distributed systems using technologies such as AWS, ECS/Fargate, S3, SQS, Lambda, RabbitMQ, Kafka/MSK, Redis, Snowflake, ScyllaDB, DynamoDB, MySQL, or PostgreSQL.\n\n- Experience with observability and production engineering practices using tools such as OpenTelemetry, Sentry, Observe.io, structured logging, metrics, traces, dashboards, and alerts.\n\n- Practical experience using AI-assisted coding tools such as Cursor, GitHub Copilot, ChatGPT, Claude, or similar tools to improve development productivity and engineering quality.\n\n- Good working knowledge of LLM concepts, including prompt engineering, RAG, agents, vector databases, model evaluation, hallucination mitigation, and LLM-based product workflows.\n\n- Demonstrated track record of delivering high-performance, scalable, secure, and reliable platforms in a fast-paced agile environment.\n\n- Exceptional leadership and communication skills, with a strong drive to mentor and guide a team of developers toward technical excellence.\n\n- Experience managing and coaching 4-8 member teams and delivering high-quality projects on time.\n\n- Ability to balance people leadership, delivery ownership, architectural thinking, and hands-on technical depth.\n\n- Experience in cybersecurity, enterprise SaaS, risk management, CTEM, TPRM, CRQ, compliance, or related domains is a plus.\n\nIf you're passionate about cyber risk, thrive in a fast-paced environment, and want to be part of a team that's redefining security, we want to hear from you!\nSkills\nEngineering Management, Node.js, Python, Javascript, Cloud, AWS, Technical Architect, SQL, NoSQL, Artificial Intelligence, Machine 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