{"id":3481708,"url":"https://alion.io/job/mckinsey-company-software-engineer-liveops","title":"Software Engineer - LiveOps","company":{"id":40671,"name":"McKinsey & Company","domain":"mckinsey.com","url":"https://alion.io/company/mckinsey-and-company","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Avature","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":8500,"max_usd":23000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":43},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Datadog","optional":false},{"name":"Docker","optional":false},{"name":"Dynatrace","optional":false},{"name":"Grafana","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-10-29T17:24:28Z","employer_posted_date":null,"last_verified_at":"2026-10-29T17:24:28Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Who You'll Work With\n\nDriving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.\n\nIn return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else.\n\nWhen you join us, you will have:\n\nContinuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.\nA voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.\nGlobal community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.\nWorld-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.\n\nYour Impact\n\nYou will work with other software engineers, data scientists, ML engineers, designers, project managers and business subject matter experts on interdisciplinary projects to enable business ambitions with data & analytics.\n\nYou will: Collaborate cross-functionally with business stakeholders, software engineers, data scientists, data engineers, and internal teams to understand business and operational needs and translate them into reliable, scalable, and reusable technical solutions; autonomously investigate, troubleshoot, and resolve complex issues across the full application stack, while maintaining platform stability, reliability, and availability; diagnose technical issues through structured root-cause analysis and deliver robust code fixes, translating operational learnings into engineering improvements that reduce technical debt and prevent issue recurrence.\n\nYou will also design, evolve, and maintain observability capabilities across monitoring, logging, and tracing to provide visibility into application health, identify performance and reliability issues, and support effective production troubleshooting; own the end-to-end resolution of production issues, from initial triage and root-cause analysis through code fixes and production releases, while enhancing CI/CD pipelines and conducting rigorous post-deployment validation to ensure reliable, non-disruptive releases; and leverage Generative AI and agentic engineering approaches to enhance software development practices, automate engineering workflows, and improve the design, development, testing, and maintenance of software solutions.\n\nYour Qualifications and Skills\n\nBachelor's or Master's degree in Computer Science, Software Engineering, or a related field\n2+ years of professional software development experience\nProven experience supporting, troubleshooting, maintaining, and evolving enterprise-grade software in live production environments\nStrong proficiency in Python, with a solid foundation in data structures, algorithms, and object-oriented design, familiarity with TypeScript or Go is highly valued\nHands-on development experience with modern front-end frameworks such as React or Angular\nExperience evolving scalable software architectures, including distributed systems, microservices, and event-driven or streaming architectures\nSolid foundation in database design, with practical knowledge of SQL and NoSQL databases, performance optimization, and schema modifications\nHands-on experience with Docker and Kubernetes, with familiarity with Infrastructure as Code (IaC) tools such as Terraform\nPractical experience with CI/CD pipelines and modern software delivery practices, including production deployments, hotfixes, and post-deployment validation\nStrong proficiency with observability practices and tools for monitoring, logging, and tracing, such as Prometheus, Grafana, Datadog, Dynatrace, or the ELK Stack\nExposure to Generative AI, autonomous agents, or LLM orchestration (e.g., LangChain, LangGraph) applied to engineering, monitoring, troubleshooting, or operational workflows is a plus\nStrong communication skills and the ability to collaborate effectively with cross-functional teams, client engineering teams, and business stakeholders","description_format":"text","description_chars":5292,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous 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