Senior AWS DevOps & Platform Engineer

Neara; Hinoba-an; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

USEReady is seeking a Senior AWS DevOps & Platform Engineer to own cloud infrastructure, release automation, and platform reliability for Pixel Perfect. You will drive secure, scalable deployments and contribute to AI-driven modernization initiatives.

You will partner with Engineering, Product, and Customer Success to ensure secure, high-availability environments, while advancing automation and AI-enhanced operations across global enterprise customers.

Qualifications

• Extensive experience designing scalable AWS-based cloud platforms.
• Proven track record in implementing secure, automated release pipelines.
• Strong background in IaC and DevSecOps across enterprise deployments.

Responsibilities

• Design, implement, and manage scalable, secure AWS infrastructure.
• Build and maintain enterprise CI/CD pipelines with Jenkins.
• Automate provisioning with Terraform and Ansible; containerize with Docker.
• Own platform reliability, incident response, and operational improvements.

Skills

Cloud architecture

CI/CD pipelines

Infrastructure as Code

DevSecOps practices

Automation & AI tooling

Incident response

Tools

Jenkins

Terraform

Ansible

Docker

Helm

Git

Kubernetes

Job description

About USEReady

USEReady is a leader in modern analytics, AI, and cloud engineering solutions. Our flagship product, Pixel Perfect, enables enterprise-grade, pixel-perfect reporting for modern analytics platforms. As we continue to scale globally, we are looking for an experienced AWS DevOps engineer to build, automate, secure, and operate our cloud-native SaaS platform.

This role offers the opportunity to work on cutting‑edge AWS technologies, modern DevSecOps practices, AI-powered engineering, and enterprise-scale cloud infrastructure while contributing to next‑generation AI‑driven modernization initiatives.

Role Overview

We are seeking a highly skilled Senior AWS DevOps & Platform Engineer to own the cloud infrastructure, deployment automation, release engineering, platform reliability, and production operations for Pixel Perfect.

In addition to owning the DevOps platform, this engineer will contribute to USEReady's AI‑first engineering initiatives by building intelligent agents, supporting AWS Transform‑based modernization programs, and developing automation capabilities that accelerate software delivery, cloud operations, and analytics migration.

You will partner closely with Engineering, Product Management, Customer Success, and Enterprise Customers to ensure secure, scalable, and highly available deployments while driving engineering excellence through automation and AI.

Key Responsibilities

AWS Cloud Platform

• Design, implement, and manage scalable, secure, and highly available AWS infrastructure.
• Manage AWS services including EC2, IAM, VPC, S3, EBS, ALB/NLB, Route53, ACM, WAF, CloudWatch, Auto Scaling, Security Groups, CloudFront and others.
• Optimize cloud architecture for performance, resilience, scalability, security, and cost efficiency.
• Drive AWS operational excellence, governance, and platform standardization.

DevOps & Release Engineering

• Design, build, and maintain enterprise‑grade CI/CD pipelines using Jenkins.
• Automate infrastructure provisioning using Terraform and Ansible.
• Containerize applications using Docker and manage deployments through Helm.
• Standardize build, release, deployment, rollback, and environment management processes.
• Implement Infrastructure as Code (IaC) and GitOps best practices.

Platform Reliability & Operations

• Own production deployments across Development, QA, UAT, Staging, and Production environments.
• Monitor platform availability, reliability, and performance.
• Lead incident response, root cause analysis (RCA), and continuous operational improvements.
• Implement proactive monitoring, alerting, logging, and observability solutions.
• Participate in rotational production support for global enterprise customers.

DevSecOps

• Drive secure software delivery throughout the SDLC.
• Perform CVE remediation, dependency upgrades, SAST/DAST remediation, and security hardening.
• Manage SSL/TLS certificates, encryption, secrets management, and identity/access controls.
• Ensure compliance with enterprise security standards and AWS best practices.

Automation & AI Engineering

• Develop automation using Python, Bash, Shell, and PowerShell.
• Build reusable deployment frameworks and self‑service engineering tools.
• Eliminate repetitive operational tasks through intelligent automation.
• Build AI agents and autonomous workflows to improve engineering productivity and customer operations.
• Support AWS Transform initiatives for modernization and migration programs.
• Evaluate and implement AI‑powered engineering capabilities using Claude, Amazon Bedrock, Amazon Bedrock AgentCore, Amazon Q Developer, and emerging AWS AI services.

Enterprise Customer Support

• Support enterprise customer deployments across Linux and Windows environments.
• Troubleshoot application, infrastructure, networking, and deployment issues.
• Collaborate with Product Engineering to resolve complex production incidents.
• Prepare installation guides, deployment documentation, release notes, operational runbooks, and knowledge base articles.

Required Technical Skills

AWS Cloud

• Amazon EC2, IAM, VPC,S3,EBS,ALB/NLB,Route53,ACM,WAF,CloudWatch,Auto Scaling, CloudFormation (preferred),Cost Optimization, AWS Security Best Practices

DevOps & Automation

• Jenkins, Terraform, Ansible, Docker, Helm, Git, Bitbucket or GitHub

Operating Systems

• Linux (RHEL/Ubuntu), Windows Server,
• Programming & Scripting
• Python, Bash, Shell Scripting, PowerShell

Application Technologies

• Java, Spring Boot, REST APIs, Maven, PostgreSQL, SQL

Packaging & Release Management

• Linux RPM Packaging, Windows Installer (.MSI/.EXE), Versioning, Release Engineering

Monitoring & Observability

• Amazon CloudWatch, ELK, Splunk, Log Analysis, Performance Monitoring, Application Diagnostics

Security

• SSL/TLS, Certificate Management,JKS, CVE Remediation, SAST, DAST, Vulnerability Management

Desired Skills & Emerging Technologies

• Experience with AWS Transform for application modernization, migration assessment, and code transformation.
• Hands‑on experience building AI agents, autonomous workflows, or agentic applications using Amazon Bedrock, Bedrock AgentCore, LangGraph, LangChain, CrewAI, AutoGen, or similar agent orchestration frameworks.
• Experience integrating Large Language Models (LLMs) into enterprise applications using Amazon Bedrock or equivalent AI platforms.
• Knowledge of Model Context Protocol (MCP), Retrieval‑Augmented Generation (RAG), AI tool integration, and agent communication patterns.
• Experience developing AI‑powered automation for DevOps, deployment validation, incident management, engineering productivity, or cloud operations.
• Experience supporting Agentic Migration solutions for application, analytics, or data modernization initiatives.
• Familiarity with AI‑assisted software engineering tools such as Amazon Q Developer, GitHub Copilot, Cursor, or similar developer productivity platforms.
• Experience with AWS Lambda, EventBridge, Step Functions, API Gateway, DynamoDB, and OpenSearch.
• Exposure to Kubernetes or Amazon EKS.
• Strong understanding of event‑driven and serverless architectures on AWS.
• Passion for evaluating and adopting emerging AWS AI capabilities to improve engineering productivity and customer experience.

Preferred Qualifications

• AWS Certified DevOps Engineer – Professional
• AWS Certified Solutions Architect – Associate or Professional
• Experience supporting enterprise SaaS products.
• Experience working in Agile/Scrum product engineering teams.
• Exposure to Amazon QuickSight or modern BI/Analytics platforms.
• Familiarity with Site Reliability Engineering (SRE) principles and cloud‑native operations.

What We Are Looking For

• Strong ownership mindset with the ability to independently drive platform engineering initiatives.
• Passion for automation, cloud engineering, and AI‑driven software development.
• Excellent analytical, troubleshooting, and problem‑solving skills.
• Ability to work directly with enterprise customers and cross‑functional engineering teams.
• Strong communication and stakeholder management skills.
• Ability to thrive in a fast‑paced product engineering environment.
• Continuous learner with enthusiasm for cloud innovation, AI, and emerging AWS technologies.
• Ready to support in shift