Project description

Luxoft is seeking a Full-Stack Cloud Engineer (AWS-Primary) to take technical and operational ownership of enterprise applications within the GLAD (AWS) and GRAND (Azure) landscape. This role focuses on Business-As-Usual (BAU) engineering and production support across application code, data pipelines, and hybrid cloud infrastructure, while actively contributing to the GLAD ACE migration on AWS. You will lead end-to-end feature enhancements, incident triage and root cause analysis (RCA), performance tuning, and data/application migrations within regulated enterprise workflows.

Responsibilities

Full-Stack Application Engineering: Develop, maintain, and enhance modular front-end interfaces using Angular 17+ and TypeScript, paired with resilient backend services in C#, .NET 8+ (including .NET 10), and ASP.NET Core.

Backend Computational Logic: Write and maintain Python modules supporting backend business calculations and processing workflows.

API Design & Data Layer: Architect secure RESTful APIs and maintain data access layers using Entity Framework Core across AWS RDS PostgreSQL and Azure SQL.

Data Pipelines & Cloud Migration: Build, troubleshoot, and optimize data pipelines using Databricks (PySpark / Spark SQL), Azure Data Factory (ADF), and SQL, while driving application and data migration workstreams for the GLAD ACE transition on AWS.

Hybrid Cloud Infrastructure (AWS-Primary): Provision, configure, and support scalable infrastructure primarily on AWS (EC2, S3, SQS, IAM, Secrets Manager, CloudWatch, RDS PostgreSQL, VPC networking) alongside Azure workloads (App Services, Function Apps, Azure SQL, Key Vault, Application Insights).

DevOps & Infrastructure as Code (IaC):



Manage infrastructure provisioning with HashiCorp Terraform, maintain version control in Git, and build automated Azure DevOps YAML CI/CD pipelines.

BAU Support, Incident Leadership & Service Management: Own production stability across GLAD and GRAND, lead RCA for critical incidents, execute performance tuning, coordinate closely with Service Management teams, and deliver transparent technical handover documentation.

Skills

Must have

Experience Benchmark: 7–12 years of commercial software engineering experience, including 5+ years of hands-on full-stack and .NET backend development.

Back-End Engineering (.NET): 5+ years of commercial proficiency in C#, .NET 8+ (and .NET 10), ASP.NET Core, REST APIs, and Entity Framework Core in distributed production environments.

Python Development: Minimum 1+ year of hands-on commercial experience using Python for backend calculations and data/business logic.

Front-End Development: Proven commercial experience building and maintaining modern single-page applications using Angular 17+ and TypeScript.

AWS Cloud & Networking (Primary): Solid production experience with EC2, S3, SQS, IAM policies, AWS Secrets Manager, CloudWatch, RDS PostgreSQL, and VPC networking.

Data Engineering & Migration: Hands-on experience working with Databricks (PySpark / Spark SQL), Azure Data Factory (ADF), and SQL,



including executing data migrations into AWS.

Azure Cloud Services: Practical experience supporting Azure App Services, Function Apps, Azure SQL, Key Vault, and Application Insights (plus Blob Storage and Azure RBAC).

IaC & CI/CD Automation: Proven experience managing cloud resources with Terraform, source control in Git, and release automation via Azure DevOps YAML CI/CD pipelines.

Operational & BAU Ownership: Demonstrable track record in production support, incident/RCA leadership, performance optimization, and working independently with Service Management stakeholders.

Nice to have

Domain Background: Experience in actuarial modeling platforms or financial-sector systems (e.g., financial close/accounting, regulatory reporting, or multi-tier approval workflows).

AI-Assisted Engineering: Practical experience using GitHub Copilot or Claude Code to accelerate development, testing, and refactoring.

Cloud Certifications: Active AWS or Microsoft Azure certifications.

Large-Scale Cloud Migrations: Direct commercial experience planning and executing end-to-end application and data migrations into AWS.

Business-Analyst Mindset: Ability to translate complex business, actuarial, or financial rules into clean technical implementations and data flows.

Ownership & Autonomy: High accountability in BAU production environments with minimal supervision.

Service Management Coordination: Structured communication and SLA discipline when collaborating with Service Management and operations teams.

Other

Languages

English: C2 Proficient

Seniority

Senior

Remote India, India

Req. VR-125926

DevOps

BCM Industry

12/11/2026

Req. VR-125926

📌 Senior Azure Full-Stack Technical Developer (India)
🏢 Luxoft
📍 India