{"id":2452136,"url":"https://alion.io/job/hcltech-senior-technical-specialist-56","title":"Senior Technical Specialist","company":{"id":225,"name":"HCLTech","domain":"hcltech.com","url":"https://alion.io/company/hcltech","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Sales","role_family":"Sales","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":14500,"max_usd":34000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ChatGPT","optional":false},{"name":"Copilot","optional":false},{"name":".NET","optional":true},{"name":"Agile","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"C#","optional":true},{"name":"CI/CD","optional":true},{"name":"ETL/ELT","optional":true},{"name":"GCP","optional":true},{"name":"Java","optional":true},{"name":"Python","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-10-13T15:03:25Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-13T19:56:02Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Summary\nExperience: 10-12 years | Preferred Domain: Banking / Financial Services | Role Type: Technology Migration, Modernization and AI-enabled Delivery\nRole Summary\nWe are looking for experienced technology migration professionals with 6-7 years of hands-on experience in application, platform, data, cloud, or legacy modernization programs. The ideal candidate should have worked on end-to-end migration initiatives, preferably in the banking or financial services domain, and should be comfortable using AI-assisted tools to accelerate analysis, documentation, code conversion, testing, defect resolution, and delivery productivity.\nKey Responsibilities\nKey Responsibilities\nParticipate in technology migration and modernization programs involving legacy applications, databases, middleware, integrations, or cloud platforms.\nAssess existing systems, dependencies, interfaces, data flows, batch jobs, reports, and business-critical processes to support migration planning.\nPrepare migration impact assessments, technical analysis documents, mapping specifications, conversion plans, and validation checklists.\nSupport code migration, data migration, environment migration, platform upgrades, or application re-engineering activities as per project scope.\nUse AI-assisted engineering tools for code analysis, documentation generation, test case creation, defect triage, knowledge extraction, and productivity improvement.\nCollaborate with architects, business analysts, developers, testers, infrastructure teams, security teams, and client stakeholders to ensure smooth migration execution.\nIdentify migration risks, technical blockers, data quality issues, regulatory considerations, and operational dependencies early in the lifecycle.\nSupport SIT, UAT, regression testing, reconciliation, parallel runs, cutover planning, go-live readiness, and post-migration stabilization.\nEnsure compliance with banking-grade standards for security, auditability, data privacy, access control, and production change governance.\nSkill Requirements\nRequired Skills and Experience\n10-12 years of IT experience with at least 2-3 years in technology migration, modernization, upgrade, re-platforming, cloud migration, or data migration programs.\nStrong understanding of software development lifecycle, migration lifecycle, release management, change management, and production support processes.\nHands-on experience in one or more technology stacks such as Java, .NET, Python, SQL, PL/SQL, Mainframe, ETL, APIs, microservices, cloud platforms, or enterprise integration technologies.\nExperience in analyzing legacy code, databases, stored procedures, interfaces, reports, jobs, and technical dependencies.\nAbility to create technical documentation, migration runbooks, cutover plans, issue logs, reconciliation reports, and status updates.\nWorking knowledge of AI tools such as GitHub Copilot, Microsoft Copilot, ChatGPT-style assistants, code conversion accelerators, test generation tools, or AI-based documentation tools.\nGood understanding of banking processes such as payments, cards, lending, deposits, customer onboarding, trade finance, risk, compliance, or regulatory reporting will be preferred.\nStrong analytical, problem-solving, communication, and stakeholder management skills.\nPreferred Qualifications\nPrior experience in banking, financial services, insurance, or regulated enterprise environments.\nExposure to migration from legacy to modern technology platforms, monolith to microservices, on-premises to cloud, or manual processes to automated delivery models.\nExperience with cloud platforms such as Azure, AWS, or GCP.\nUnderstanding of DevOps, CI/CD, version control, automated testing, observability, and deployment pipelines.\nAbility to evaluate where AI can improve migration productivity, reduce manual effort, improve quality, and accelerate knowledge transition.\nExperience working in Agile, hybrid, or large-scale transformation programs with distributed teams.\nAI Enablement Expectations\nUse AI tools responsibly to accelerate code understanding, reverse engineering, documentation, test design, and issue analysis.\nValidate AI-generated outputs for accuracy, security, compliance, and maintainability before use in project deliverables.\nIdentify repeatable migration tasks that can be automated or AI-assisted.\nContribute to prompt templates, reusable checklists, migration accelerators, and knowledge assets.\nDemonstrate openness to learning new AI tools and applying them in day-to-day delivery without compromising governance or quality\nOther Requirements\nSuggested Screening Criteria\n\nEvaluation Area\n\nWhat to Check\n\nMigration Experience\n\nHas worked on real migration or modernization programs, not just maintenance projects.\n\nBanking Domain Fit\n\nUnderstands banking processes, compliance expectations, production controls, and audit sensitivity.\n\nTechnical Depth\n\nCan analyze legacy systems, dependencies, databases, integrations, and migration risks.\n\nAI Readiness\n\nCan explain practical use of AI for code analysis, documentation, testing, and productivity improvement.\n\nDelivery Ownership\n\nCan independently manage assigned migration workstreams, risks, issues, and stakeholder communication.\n\nIdeal Candidate Profile\nThe ideal candidate is a hands-on technology migration professional who understands enterprise delivery discipline, has exposure to banking or financial services systems, and can intelligently use AI tools to improve speed, quality, documentation, and migration confidence.","description_format":"text","description_chars":5520,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams","Systems Integrators"],"lifecycle":[{"event":"open","at":"2026-10-13T15:03:25Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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