Software Development - Cloud Platform

L&T Technology Services; Oak Brook (IL); On-site; USD 140,000 - 210,000; Full time

Job summary

LT Technology Services (LTTS) is seeking a senior cloud platform engineer to build and maintain cloud software for core platform teams. You will design AWS infrastructure using Terraform/CDKTF and write production code in C#, Node.js, or TypeScript.

You will architect and operate Kubernetes/ECS/EKS for distributed workloads, and you will create robust CI/CD pipelines with automated tests and deployment gates. You will implement observability and data ingestion for high-speed IoT telemetry.

Qualifications

• 6–8+ years of experience in cloud infrastructure and DevOps.
• Proficiency in C#, Node.js, or TypeScript; write production code.
• Experience with AWS and container orchestration (Kubernetes, ECS/EKS).

Responsibilities

• Develop & maintain cloud software for core platform engineering teams.
• Design and maintain cloud infrastructure on AWS using Terraform/CDKTF/AWS CDK.
• Develop production-quality platform tooling in C#, Node.js, and/or TypeScript.
• Architect and operate Kubernetes/ECS/EKS for microservice workloads.
• Build and maintain CI/CD pipelines with automated tests and deployment gates.
• Implement observability with DataDog, Splunk, CloudWatch, or similar tools.
• Design data ingestion and messaging infrastructure for IoT workloads.

Skills

Cloud infrastructure

Platform engineering

DevOps

C#

Node.js

TypeScript

IoT platforms

Kubernetes

AWS

Education

Bachelor of Engineering or Bachelor of Technology

Master of Computer Applications

Tools

Terraform

CDKTF

AWS CDK

Docker

GitHub Actions

CloudWatch

Job description

• Develop & maintain cloud software products for core platform engineering teams
• Design and maintain cloud infrastructure on AWS using Terraform (or CDKTF/AWS CDK), with a focus on reliability, scalability, and cost efficiency across multi-environment deployments.
• Develop production-quality platform tooling and services in C#, Node.js, and/or TypeScript; this is a hands‑on coding role, not solely infrastructure configuration.
• Architect and operate container orchestration (Kubernetes, ECS/EKS) for microservice and distributed‑systems workloads that support autonomous vehicle data pipelines.
• Build and maintain CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, or Azure DevOps) with automated testing and deployment gates.
• Implement observability and monitoring using DataDog, Splunk, CloudWatch, or similar tools to ensure rapid detection and resolution of issues across distributed systems.
• Design and integrate data ingestion and messaging infrastructure (Kafka, Kinesis, pub/sub patterns) for high-volume IoT and telemetry workloads).

Skills Required:

• 6–8+ years of experience in cloud infrastructure, platform engineering, or DevOps, with strong software development skills.
• Proficiency in C#, Node.js, and/or TypeScript, with the ability to write production code rather than glue scripts alone.
• Preferred: Experience with IoT platforms, edge computing, or autonomous systems; real-time data pipelines and stream processing (Kafka, KSQL, Kinesis); internal developer platforms or platform-as-a-service toolchains; distributed-systems patterns (event‑driven architectures, pub/sub messaging, active/active multi‑region deployments); databases across relational and NoSQL (PostgreSQL, DynamoDB, MongoDB, Redis, ElasticSearch); and AWS certifications (Solutions Architect, DevOps Engineer).

Qualifications:

• Bachelor of Engineering or Bachelor of Technology required
• Master of Computer Applications, preferred

"LTTS is an Equal Opportunity Employer and maintains a clear policy against discrimination based on age, disability, sex, race, religion or belief, gender reassignment, marriage/civil partnership, pregnancy/maternity, or sexual orientation. As an inclusive organization, we actively endorse equal opportunities for all candidates with the right mix of talent, skills, and potential. We encourage applications from a diverse pool of candidates and selection for roles will solely be based on individual merit."