{"id":3341905,"url":"https://alion.io/job/hcltech-python-senior-technical-lead-devops-8","title":"Python Senior Technical Lead - DevOps","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":"DevOps","role_family":"DevOps","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":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Configuration Management","optional":false},{"name":"FastAPI","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Pydantic","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-27T15:50:01Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-11-04T13:31:48Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"Job Summary\n1. SKILLS / EXPERIENCE REQUIRED\nMinimum 8 years of professional Python development experience delivering secure, scalable, and production-quality backend applications or calculation services.\nStrong proficiency in modern Python, object-oriented design, modular architecture, reusable libraries, type validation, dependency management, and coding standards such as PEP 8.\nHands-on experience developing REST APIs using FastAPI or an approved equivalent framework, including request validation, API versioning, authentication, structured error responses, and OpenAPI documentation.\nStrong knowledge of SQL and PostgreSQL, including data modelling, queries, functions, indexing, transaction management, and performance optimization.\nProven ability to identify opportunities for engineering automation and productivity improvements using AI, Generative AI, intelligent agents, scripting, and developer tooling; experience delivering practical solutions that reduce manual effort, improve code quality, accelerate testing, and enhance team effectiveness.\nExperience with Pydantic, PyTest, importlib, caching, configuration management, and development of reusable Python utilities and packages.\nExperience translating complex formulas, business rules, dependency graphs, or scientific models into deterministic, traceable, and testable software components.\nExperience designing automated unit, integration, regression, and API tests, with disciplined defect analysis and test evidence.\nExperience with Microsoft Azure services, App Service or approved container platforms, Azure DevOps, continuous integration and deployment pipelines, secrets management, logging, monitoring, and application support.\nKey Responsibilities\n1. SKILLS / EXPERIENCE REQUIRED\nMinimum 8 years of professional Python development experience delivering secure, scalable, and production-quality backend applications or calculation services.\nStrong proficiency in modern Python, object-oriented design, modular architecture, reusable libraries, type validation, dependency management, and coding standards such as PEP 8.\nHands-on experience developing REST APIs using FastAPI or an approved equivalent framework, including request validation, API versioning, authentication, structured error responses, and OpenAPI documentation.\nStrong knowledge of SQL and PostgreSQL, including data modelling, queries, functions, indexing, transaction management, and performance optimization.\nProven ability to identify opportunities for engineering automation and productivity improvements using AI, Generative AI, intelligent agents, scripting, and developer tooling; experience delivering practical solutions that reduce manual effort, improve code quality, accelerate testing, and enhance team effectiveness.\nExperience with Pydantic, PyTest, importlib, caching, configuration management, and development of reusable Python utilities and packages.\nExperience translating complex formulas, business rules, dependency graphs, or scientific models into deterministic, traceable, and testable software components.\nExperience designing automated unit, integration, regression, and API tests, with disciplined defect analysis and test evidence.\nExperience with Microsoft Azure services, App Service or approved container platforms, Azure DevOps, continuous integration and deployment pipelines, secrets management, logging, monitoring, and application support.\nSkill Requirements\n1. SKILLS / EXPERIENCE REQUIRED\nMinimum 8 years of professional Python development experience delivering secure, scalable, and production-quality backend applications or calculation services.\nStrong proficiency in modern Python, object-oriented design, modular architecture, reusable libraries, type validation, dependency management, and coding standards such as PEP 8.\nHands-on experience developing REST APIs using FastAPI or an approved equivalent framework, including request validation, API versioning, authentication, structured error responses, and OpenAPI documentation.\nStrong knowledge of SQL and PostgreSQL, including data modelling, queries, functions, indexing, transaction management, and performance optimization.\nProven ability to identify opportunities for engineering automation and productivity improvements using AI, Generative AI, intelligent agents, scripting, and developer tooling; experience delivering practical solutions that reduce manual effort, improve code quality, accelerate testing, and enhance team effectiveness.\nExperience with Pydantic, PyTest, importlib, caching, configuration management, and development of reusable Python utilities and packages.\nExperience translating complex formulas, business rules, dependency graphs, or scientific models into deterministic, traceable, and testable software components.\nExperience designing automated unit, integration, regression, and API tests, with disciplined defect analysis and test evidence.\nExperience with Microsoft Azure services, App Service or approved container platforms, Azure DevOps, continuous integration and deployment pipelines, secrets management, logging, monitoring, and application support.\nOther Requirements","description_format":"text","description_chars":5158,"description_truncated":false,"requirements":{"experience_years_min":8,"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":["Cybersecurity","Professional Services","Science & Engineering","Systems Integrators"],"lifecycle":[{"event":"open","at":"2026-10-27T15:50:01Z"}],"visa":[],"liveness":{"score":99,"band":"hot","label":"Hiring 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