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AWS Infrastructure Engineer
AWS Infrastructure Engineer

AWS Infrastructure Engineer at TALPRO · Remote only · 4 - 6 years · ₹5L - ₹10L / yr · Bootstrapped · Remote only · Posted 13 Apr 2025

TALPRO's logo

AWS Infrastructure Engineer

Talpro India's profile picture
Posted by Talpro India
4 - 6 yrs
₹5L - ₹10L / yr
Remote only
Skills
skill iconAmazon Web Services (AWS)
Computer Networking
Cloud Computing

Job Opportunity: AWS Infrastructure Engineer


  • Location: Anywhere, Permanent Remote
  • Work Mode: Remote, Work from Home
  • Payroll Company: Talpro India
  • Experience Required: 4+ Years
  • Notice Period: Immediate Joiner Only

Key Responsibilities:

  • Cloud Infrastructure Design & Management:
  • • Architect, deploy, and maintain AWS services like EC2, S3, VPC, RDS, IAM, Lambda
  • • Build secure, scalable cloud environments on AWS; Azure/GCP exposure is a plus
  • Security & Compliance:
  • • Implement security best practices using IAM, GuardDuty, Security Hub, WAF
  • • Apply patching and security updates for Linux and Windows systems
  • Networking & Connectivity:
  • • Configure and troubleshoot AWS networking (VPC, TGW, Route 53, VPNs, Direct Connect)
  • • Manage hybrid environments and URL filtering solutions
  • Server & Service Optimization:
  • • Optimize Apache, NGINX, MySQL/PostgreSQL on Linux and Windows platforms
  • • Ensure server health, availability, and performance
  • Firewall & Access Control:
  • • Hands-on with physical firewalls like Palo Alto and Cisco
  • Support & Integration:
  • • Provide L2/L3 support and ensure quick incident resolution
  • • Collaborate with DevOps, application, and database teams
  • Automation & Monitoring:
  • • Automate using Terraform, CloudFormation, Bash, or Python
  • • Monitor and optimize using CloudWatch, Trusted Advisor, and Cost Explorer


Must-Have Skills:


  • 4+ years of hands-on experience with AWS Cloud
  • System administration for both Linux and Windows
  • Expertise in AWS networking and security
  • Proficiency with Terraform or CloudFormation
  • Scripting skills in Bash or Python
  • Experience managing Apache, NGINX, MySQL/PostgreSQL
  • Familiarity with Palo Alto or Cisco firewalls

Knowledge of AWS monitoring tools like CloudWatch and Trusted Advisor


Good to Have Skills:


  • Exposure to multi-cloud environments like Azure or GCP
  • RHCSA or MCSE certification
  • Strong collaboration and DevOps integration skills

Certifications Required:

  • AWS Certified Solutions Architect (Mandatory)
  • RHCSA or MCSE (Preferred)

Summary:

We are looking for an AWS Infrastructure Engineer to manage and secure scalable cloud environments. This role requires hands-on AWS experience, strong system admin skills, and automation expertise. If you’re certified, skilled in modern cloud tooling, and ready to work in a dynamic tech environment, we’d love to connect with you.

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I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About TALPRO

Founded :
2010
Type :
Products & Services
Size :
20-100
Stage :
Bootstrapped

About

N/A

Company social profiles

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●    Strong Linux system administration and troubleshooting skills

●    Redhat certifications

●    Strong understanding of networking fundamentals, security, and distributed systems

●    Proficiency with Docker, and container orchestration

●    Experience with Terraform, Ansible, or similar infrastructure automation tools

●    Strong scripting or programming skills in Python, Bash, or Go

●    Knowledge of observability tools such as Prometheus, Grafana, ELK, or OpenTelemetry

●    Understanding of platform security best practices and secure infrastructure design

●    Familiarity with virtualization technologies and hybrid infrastructure environments

●    Strong problem-solving and debugging abilities

●    Excellent communication and collaboration skills

●    Ability to thrive in fast-paced startup environments

Nice to Have

●    Configuration management/automation at scale (Ansible, AWX, Terraform, or similar)

●    Monitoring/observability stack experience (Prometheus, Grafana, Zabbix, ELK, Datadog)

●    Container experience (Docker; Kubernetes a plus but not core to this VM-based stack)

●    Experience in a startup or small-team environment where infra was built from scratch

●    Security/compliance exposure (vulnerability remediation, hardening, SSO/access control)

The Mindset

Problem Solver

You thrive on complex, ambiguous challenges and engineer elegant solutions.

Ownership-Driven

You take initiative, move fast, and deliver outcomes without hand-holding.

Continuous Learner

You stay ahead of the curve in AI, ML, cloud-native technologies, and emerging infrastructure trends.

Startup DNA

You excel in fast-moving environments where priorities evolve and impact is immediate.

 

Read more
NeoGenCode Technologies Pvt Ltd
Gurugram
5 - 8 yrs
₹8L - ₹16L / yr
DevOps
skill iconAmazon Web Services (AWS)
Amazon EC2
Amazon EKS
ECS
+24 more

Job Title : Senior AWS DevSecOps & AI Platform Engineer

Experience Required : 5+ Years in AWS / Cloud Engineering

Terraform Experience : 4+ Years

Location : Gurugram

Work Mode : Onsite

Employment Type : Full-time


About the Role :

We are looking for an experienced Senior AWS DevSecOps & AI Platform Engineer with strong expertise in AWS cloud infrastructure, Kubernetes, Infrastructure as Code (IaC), CI/CD automation, cloud security, and database administration.

The ideal candidate will be responsible for designing and maintaining secure, scalable, reliable, and cost-efficient cloud environments while supporting microservices-based applications and implementing DevSecOps best practices. The role also involves building and deploying AI agents using Amazon Bedrock and Bedrock AgentCore, along with managing enterprise development and collaboration tools.


Mandatory Skills :

AWS (EC2, EKS, ECS, Lambda, S3, CloudWatch), Kubernetes, Terraform, Jenkins, Bitbucket Pipelines, CI/CD, DevSecOps, AWS Security Services (IAM, WAF, GuardDuty, Security Hub, KMS, Secrets Manager), Microservices, Helm, PostgreSQL, Oracle SQL, RDS, Jira, Confluence, Amazon Bedrock, Bedrock AgentCore, AWS Networking, and Cloud Cost Optimization.


Key Responsibilities :

  • AWS Cloud Infrastructure : Design, implement, and maintain AWS infrastructure with a focus on scalability, availability, security, reliability, and cost optimization.
  • Microservices & Containerization : Manage and support distributed microservices architectures, including deployment, monitoring, troubleshooting, performance optimization, service meshes, and API gateways.
  • Kubernetes Administration : Administer and optimize Kubernetes clusters, including Amazon EKS and self-managed environments, covering upgrades, networking, workload management, scaling, and resource optimization.
  • Cloud Security & Compliance : Implement and manage AWS security services, including IAM, GuardDuty, Security Hub, WAF, KMS, Secrets Manager, AWS Config, and CloudTrail.
  • DevSecOps Implementation : Integrate security testing, vulnerability scanning, container security, and compliance-as-code tools into CI/CD pipelines.
  • CI/CD & Source Control : Manage Bitbucket repositories, branching strategies, permissions, and Bitbucket Pipelines. Build and optimize Jenkins pipelines using declarative and scripted approaches.
  • Infrastructure as Code : Develop and maintain Terraform modules, manage remote state and workspaces, detect infrastructure drift, and implement reusable infrastructure provisioning practices.
  • Database Administration : Provision, manage, secure, and optimize AWS RDS databases, particularly PostgreSQL and Oracle, including backups, replication, patching, performance tuning, and migrations.
  • Jira & Confluence Administration : Manage projects, workflows, automation rules, permissions, user access, spaces, schemes, and plugins.
  • Monitoring & Reliability : Define and monitor SLIs, SLOs, and SLAs; implement observability best practices; and participate in incident management, root cause analysis, and post-incident reviews.
  • AI Agent Development : Design, build, and deploy AI agents using Amazon Bedrock and Bedrock AgentCore, including agent runtime, memory, tools, gateway integration, identity and access management, guardrails, and lifecycle management across environments.
  • Cloud Connectivity : Support hybrid cloud connectivity using AWS Direct Connect, VPN, and Transit Gateway.
  • Cost Optimization : Apply FinOps practices to monitor cloud expenditure, optimize resource utilization, and improve infrastructure efficiency.
  • API Integrations : Integrate third-party APIs while implementing authentication, rate limiting, error handling, and webhook management.


Required Skills & Qualifications :

  • 5+ years of hands-on experience with AWS cloud services, including EC2, ECS, EKS, Lambda, ALB, CDN, S3, CloudWatch, Amazon Bedrock, and Bedrock AgentCore.
  • Strong understanding of AWS networking, multi-account strategies, landing zone architecture, and hybrid connectivity.
  • 4+ years of practical experience with Terraform, including module development, remote state management, workspaces, drift detection, and state operations.
  • Extensive experience administering Kubernetes, preferably Amazon EKS, including Helm, Kustomize, operators, RBAC, network policies, autoscaling, and multi-tenancy.
  • Proven experience managing distributed microservices, service meshes, API gateways, and inter-service communication.
  • Strong knowledge of AWS security services, including IAM, Service Control Policies (SCPs), WAF, KMS, Secrets Manager, AWS Config, and CloudTrail.
  • Experience implementing least-privilege access, zero-trust principles, and cloud security compliance controls.
  • Hands-on experience integrating DevSecOps tools such as Snyk, Trivy, Checkov, and SonarQube into CI/CD pipelines.
  • Understanding of OWASP security principles, CIS benchmarks, vulnerability management, and container security.
  • Proficiency in Bitbucket repository administration, branch permissions, and YAML-based Bitbucket Pipelines.
  • Strong experience developing and maintaining Jenkins CI/CD pipelines, shared libraries, plugins, and build agents.
  • Experience administering AWS RDS databases, particularly PostgreSQL and Oracle SQL, including backup, replication, performance tuning, and migration activities.
  • Experience administering Jira and Confluence, including workflows, permissions, automation, and plugin management.
  • Working knowledge of Azure services, particularly Web Apps and Logic Apps/Workflows.
  • Practical experience with Amazon Bedrock, including model invocation, guardrails, and AI agent development and deployment using Bedrock AgentCore.
  • Understanding of third-party API integration, authentication mechanisms, rate limiting, error handling, and webhook management.
  • Familiarity with FinOps practices and cloud cost optimization.


Good-to-Have Skills :

  • Additional Azure experience, including networking, Azure SQL Managed Instance, and Azure Kubernetes Service (AKS).
  • Hands-on experience with AI-driven Development Lifecycle (AI-DLC) methodologies and tools such as Kiro.


Relevant certifications, such as :

  • AWS Certified Solutions Architect
  • AWS Certified DevOps Engineer – Professional
  • AWS Machine Learning or Generative AI certifications
  • Certified Kubernetes Administrator (CKA)
  • HashiCorp Terraform certifications


Ideal Candidate Profile :

The ideal candidate is a hands-on cloud and DevSecOps professional who can manage enterprise-scale AWS infrastructure, automate deployments, strengthen security controls, troubleshoot complex distributed systems, and support AI agent development. Strong problem-solving skills, an automation-first mindset, and the ability to collaborate across development, security, and infrastructure teams are essential.

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