{"id":3312522,"url":"https://alion.io/job/deutsche-bank-lead-engineer-vp-4","title":"Lead Engineer, VP","company":{"id":8385,"name":"Deutsche Bank","domain":"db.com","url":"https://alion.io/company/deutsche-bank","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":231,"ghost_share":0.013,"stale_share":0.753,"repost_share":0.052,"time_to_fill_p50_days":32,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":44000,"max_usd":90000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":50},"experience_years_min":14,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Java","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"OpenShift","optional":false},{"name":"Oracle","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Rest API","optional":false},{"name":"Spring Boot","optional":false}],"status":"live","first_seen_at":"2026-10-22T00:00:00Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-30T18:14:15Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"Job Description:\nJob Title: Lead Engineer\nCorporate Title: Vice President\nLocation: Pune, India\nRole Description\nThis role is responsible for Design and Implementation of the high-quality technology solutions within Accounting domain. The candidate should have demonstrated technical expertise having excellent problem-solving skills. The candidate is expected to;\nbe a hands-on engineering lead involved in analysis, design, design/code reviews, coding and release activities\nchampion engineering best practices and guide/mentor team to achieve high performance.\nacquire functional knowledge of the business capability being digitized/re-engineered.\nDrive AI adoption for SDLC as well as solving business problems\nWhat we’ll offer you\nAs part of our flexible scheme, here are just some of the benefits that you’ll enjoy,\n· Best in class leave policy.\n· Gender neutral parental leaves\n· 100% reimbursement under childcare assistance benefit (gender neutral)\n· Sponsorship for Industry relevant certifications and education\n· Employee Assistance Program for you and your family members\n· Comprehensive Hospitalization Insurance for you and your dependents\n· Accident and Term life Insurance\n· Complementary Health screening for 35 yrs. and above\nYour key responsibilities\nLead the analysis, architecture, design and implementation of high-quality, scalable technology solutions within the Accounting domain.\nAct as a hands-on engineering leader, contributing directly to solution design, coding, design and code reviews, testing, release activities and production readiness.\nProvide technical direction for applications built using Java, Spring Boot, REST APIs, microservices and modern front-end technologies.\nDesign robust distributed systems and scalable architectures, applying appropriate engineering and integration patterns.\nDrive the adoption of cloud-native engineering practices, including containerisation, orchestration and deployment across GCP or similar cloud plarforms\nChampion engineering excellence through TDD, BDD, automated testing, performance testing, continuous integration and continuous delivery.\nImprove application reliability, performance and maintainability through effective data modelling, database optimisation, automation and technical-debt reduction.\nDrive the adoption of AI-assisted engineering practices across the software development lifecycle, including LLM-based applications, agentic AI workflows and specification-driven development.\nCollaborate closely with business stakeholders, Product Owners and Architects to translate business requirements into practical and sustainable technology solutions.\nDevelop a strong understanding of the Accounting business capabilities being digitised or re-engineered and ensure solutions deliver measurable business outcomes.\nMentor and coach engineers, support technical decision-making and create an environment that enables teams to deliver consistently at a high level.\nPromote continuous learning, innovation and upskilling while supporting the professional and technical development of team members.\nDemonstrate end-to-end ownership of technology delivery, proactively identifying risks, resolving complex technical challenges and ensuring successful implementation.\nKeep abreast of emerging technology, architecture and engineering trends and assess their relevance to the organisation’s technology landscape.\nYour skills and experience\nCore EngineeringMinimum 14 years of IT industry experience with strong hands-on expertise in Java and full-stack development\nDeep knowledge of Java, Spring Boot, REST APIs, microservices architecture, and modern front-end frameworks (e.g., ReactJS)\nStrong experience in databases (Oracle, PostgreSQL, NoSQL) and solid understanding of data modeling, performance optimization\nHands-on experience with cloud platforms (GCP preferred, AWS/Azure) and containerization (Kubernetes, OpenShift)\nStrong understanding of distributed systems, system design, and scalable architecture patterns\nExperience in DevOps and CI/CD practices (Jenkins, GitHub Actions), with focus on automation and reliability\nStrong focus on engineering quality (TDD, BDD, automation testing, performance testing)\nHands-on or working knowledge of LLM-based applications and experience of building Agentic AI workflows using Spec Driven development with tools like OpenSpec etc\n\nLeadershipStrong problem-solving skills with a hands-on leadership approach\nExperience working closely with Business stakeholders, Product Owners, Architects\nGrowth mindset with focus on continuous learning, upskilling, and team development\n\nProven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.\nHow we’ll support you\n· Training and development to help you excel in your career.\n· Coaching and support from experts in your team.\n· A culture of continuous learning to aid progression.\n· A range of flexible benefits that you can tailor to suit your needs.\nAbout us and our teams\nPlease visit our company website for further information:\nhttps://www.db.com/company/company.html\nWe strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.\nTogether we share and celebrate the successes of our people. 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