AWS Cloud Engineer

We are looking for a hands-on Senior AWS Cloud Engineer to lead the infrastructure build, optimization, automation, and production deployment of a Multi-Agent AI Chatbot Platform hosted on AWS. The development environment is already in place, and the successful candidate will drive the solution through testing, integrations, and production go-live.

Key Responsibilities

• Review, validate, and optimize existing Terraform code and AWS infrastructure.
• Establish and manage integrations with enterprise platforms such as ServiceNow, Workday, and other third-party systems.
• Design, build, and support secure, scalable, and highly available AWS environments.
• Implement and automate CI/CD pipelines and Infrastructure-as-Code practices.
• Lead infrastructure testing, performance tuning, and production readiness activities.
• Drive deployment and operationalization of the platform in the Production environment.
• Implement cloud governance, security, monitoring, and FinOps best practices.
• Troubleshoot and resolve complex cloud infrastructure issues.

Required Skills & Experience

• 10+ years of IT experience with strong expertise in AWS Cloud Engineering.
• Proven experience designing, deploying, and managing AWS production environments.
• Strong hands-on experience with Terraform and Infrastructure-as-Code.
• Experience with CI/CD pipeline automation and DevOps practices.
• Expertise in AWS services including VPC, IAM, EC2, S3, Lambda, CloudWatch, and networking.
• Experience in performance optimization, reliability, and cloud cost management (FinOps).
• Strong scripting and automation skills.
• Experience integrating enterprise applications through APIs and secure connectivity patterns.

Job Summary

We are looking for an experienced AWS Cloud Engineer with strong expertise in AWS infrastructure, deployment, migration, and cloud operations. The candidate should have hands-on experience managing AWS services such as EC2, EBS, S3, EFS, and FSx, along with infrastructure provisioning, migration, troubleshooting, and optimization.

Key Responsibilities

• Design, deploy, configure, and manage AWS infrastructure environments.
• Perform application and infrastructure migration to AWS.
• Provision and manage EC2 instances, including configuration, scaling, patching, and troubleshooting.
• Manage EBS volumes, snapshots, backups, and storage performance.
• Configure and administer S3 buckets, storage policies, lifecycle management, and access controls.
• Manage EFS for scalable shared file storage.
• Implement and manage Amazon FSx file systems based on application requirements.
• Monitor AWS infrastructure performance, availability, and capacity.
• Troubleshoot infrastructure, networking, storage, and deployment-related issues.
• Implement security best practices including IAM, security groups, encryption, and access controls.
• Support backup, disaster recovery, high availability, and business continuity requirements.
• Optimize AWS resources for performance, scalability, reliability, and cost.

Mandatory Skills

• Strong hands-on experience in AWS Cloud Infrastructure.
• Expertise in EC2, EBS, S3, EFS, and FSx.
• Experience in AWS deployment and migration projects.
• Strong knowledge of AWS networking concepts such as VPC, Subnets, Route Tables, Security Groups, and Load Balancers.
• Experience with IAM and AWS security best practices.
• Good knowledge of AWS monitoring and troubleshooting.
• Experience with cloud infrastructure automation using Terraform or CloudFormation is preferred.
• Strong Linux administration and troubleshooting skills.
• Good understanding of backup, disaster recovery, and high-availability concepts

Cloud Infrastructure Engineer – BANG | 10+ Years

Location: Bangalore

Experience: 10+ Years

Job Description:

• Design, implement, and manage cloud infrastructure across AWS/Azure/GCP environments.
• Strong experience in cloud architecture, compute, storage, networking, and security.
• Manage VMs, VPC/VNet, load balancers, DNS, DHCP, firewalls, and IAM.
• Hands-on experience with Windows/Linux servers, VMware, virtualization, and infrastructure operations.
• Automate infrastructure provisioning and configuration using Terraform, Ansible, or similar tools.
• Monitor infrastructure performance, availability, and capacity using tools such as Grafana, Prometheus, or CloudWatch/Azure Monitor.
• Handle incident management, troubleshooting, disaster recovery, backup, and high-availability requirements.
• Work with cross-functional teams to support cloud migration, infrastructure upgrades, and production environments.
• Ensure infrastructure follows security, compliance, and operational best practices.

Must-Have Skills:

Cloud Infrastructure | AWS/Azure/GCP | Networking | Linux/Windows | VMware | Terraform | Ansible | DNS/DHCP | IAM | Monitoring | Backup & DR

This is a senior role in our Application & Database Modernization pillar, on a specific mission: leading a large-scale VMware-to-AWS migration and landing it in production. VMware estates are exactly where modernization programs go to stall — sprawling dependency graphs, undocumented workloads, and a hypervisor bill that grows while the migration deck gathers dust. Our customers need that estate moved, cut over, and retired, on a date in the contract.

You'll lead the design and implementation of the target infrastructure: Landing Zones built to AWS best practices, EKS-based container platforms, Infrastructure as Code across the stack with Terraform and CloudFormation, and HA, DR, security, and backup strategies that hold up in production. Aedeon absorbs the discovery, dependency-mapping, and validation grind that would otherwise consume the project's first two quarters. You own the judgment calls, architecture tradeoffs, cutover sequencing, risk decisions and you carry them through to production. You'll also mentor engineers and shape long-term infrastructure strategy with customer stakeholders. If you want your migration experience to end in retired VMware clusters rather than revised project plans, this is the role.

What you will do?

• Lead the design and implementation of infrastructure for a large-scale VMware-to-AWS migration — from discovery through production cutover.
• Architect and build secure, scalable, and highly available AWS environments, including Landing Zones that follow AWS best practices.
• Design and implement containerized application platforms on Amazon EKS; exposure to ECS is a plus.
• Implement Infrastructure as Code using Terraform and AWS CloudFormation.
• Define and enforce best practices across security, backups, high availability (HA), disaster recovery (DR), monitoring, and operations.
• Enable configuration management using tools such as Ansible, Chef, or similar.
• Build CI/CD pipelines and manage the complete build and release lifecycle for customer applications.
• Drive automation across provisioning, deployment, and operational workflows.
• Retire legacy infrastructure and land cloud-native architectures in its place.
• Improve and maintain DevOps platforms: Jenkins, Git repositories, monitoring, and observability stacks.
• Provide L3-level support for complex infrastructure and platform issues.
• Work with stakeholders on technical strategy and long-term architecture.
• Mentor engineers, contribute to talent evaluation, and support team development.

What are we looking for?

• 6+ years of hands-on DevOps experience, with strong expertise in designing and managing cloud infrastructure.
• Strong experience in VMware-to-AWS migration projects or large-scale infrastructure migrations.
• 4+ years of Terraform and CloudFormation for Infrastructure as Code (IaC).
• 4+ years in configuration management, systems engineering, and managing production-grade infrastructure.
• Solid Linux and/or Windows administration background.
• Deep understanding of AWS services, including VPC, EC2, IAM, EKS, ECS, RDS, S3, Backup, CloudWatch, etc.
• Experience with Kubernetes (EKS), ECS, and Docker in production environments.
• Hands-on experience designing HA, DR, security, and backup strategies.
• Experience with Landing Zone setup, multi-account strategy, and AWS governance frameworks.
• Proficiency in Git with a strong understanding of branching and merging strategies.
• Experience with CI/CD pipelines, automation, and operational tooling.
• A problem-solving mindset that's proactive and oriented toward reliability, performance, and scalability.

You will be preferred if

• Experience across multiple cloud platforms (AWS, Azure, GCP).
• AWS certifications such as Solutions Architect Associate/Professional or DevOps Engineer Professional.
• Exposure to data platforms such as Amazon EMR, Redshift, Lake Formation, and SageMaker.
• Experience designing cloud architectures at an L3/Architect level.

Job Title : SDE 3 – Infrastructure Platform Engineer

Experience : 5.5 to 8.5 Years

Number of Positions : 2

Employment Type : C2H (Contract to Hire)

Work Mode : Remote during contractual period → 5 Days WFO after conversion

Contract Duration : 3 Months

Post-Conversion Location : Pune

Notice Period : Immediate Joiners / Serving Notice Period / Up to 15 Days preferred

(Candidates officially serving a 30-day notice period may also be considered if they are on the bench and have a negotiable joining date)

Role Overview :

We are looking for an experienced SDE 3 – Infrastructure Platform Engineer to design, build, and operate scalable, secure, and highly reliable cloud infrastructure and internal platform capabilities.

The ideal candidate will have strong hands-on experience in Cloud Infrastructure, Infrastructure as Code (IaC), CI/CD, Docker, Kubernetes, automation, observability, networking, and distributed systems.

Mandatory Skills : AWS / Azure / GCP, Terraform / CloudFormation, Kubernetes, Docker, CI/CD, Platform / Infrastructure Engineering, Python / Go / Java / Ruby, Networking, Cloud Security, Distributed Systems, Scalability & Reliability, Strong Coding & Automation.

Key Responsibilities :

• Design and maintain scalable, highly available infrastructure on AWS / GCP / Azure.
• Build and manage Infrastructure as Code (IaC) using Terraform, CloudFormation, or similar tools.
• Develop automation for infrastructure provisioning, deployments, monitoring, and operations.
• Manage and optimize Docker and Kubernetes workloads.
• Build internal platform tools to improve developer productivity and engineering efficiency.
• Implement monitoring, logging, alerting, and observability solutions.
• Participate in incident response, RCA, postmortems, and reliability improvements.
• Design and improve CI/CD pipelines and deployment automation.
• Contribute to system design, architecture discussions, scalability, security, and cost optimization.
• Collaborate with application, data, and product engineering teams.

Required Skills :

• 5.5 to 8.5 years of experience in Infrastructure / Platform Engineering or similar roles.
• Strong hands-on experience with AWS, GCP, or Azure.
• Strong expertise in Terraform / CloudFormation.
• Experience with CI/CD, Docker, and Kubernetes.
• Strong programming skills in at least one of:
• Python, Go, Java, or Ruby.
• Good understanding of networking, cloud security, distributed systems, scalability, and reliability.
• Experience working with production infrastructure and highly available systems.
• Strong troubleshooting and problem-solving skills.

Nice to Have :

• Experience with SRE practices and production on-call ownership.
• Experience in fintech, payments, banking, or transaction-heavy systems.
• Knowledge of cloud security, compliance, or FinOps/cost optimization.
• Experience building internal developer platforms or productivity tools.
• Previous product company experience.

Interview Process :

Round 1 : Take-Home Coding Assignment – Submit within 48 hours

Round 2 : Coding Assignment Discussion – 1 Hour

Round 3 : Technical Managerial Round – 30 Minutes

Note : The take-home coding assignment is mandatory. Candidates should be comfortable completing and submitting the assignment within 48 hours before proceeding.

Ideal Candidate :

Strong Platform / Infrastructure Engineer with hands-on experience in :

Cloud + Terraform / CloudFormation + Kubernetes + CI/CD + Programming + SRE / Production Operations

Pure DevOps profiles without strong coding and platform engineering experience are not preferred.

About the Team

SecurITe’s mission is to build an Agentic-AI driven security platform that protects critical infrastructure from modern cyber threats. Our focus is on delivering highly performant, resilient, and intelligent network security systems that help defenders stay ahead of adversaries.

About the Role

We’re looking for an exceptional Platform Engineer to help lead the development of our next-generation cybersecurity AI platform. This is a rare opportunity to shape how agentic AI transforms the future of cyber defense.

As a Platform Engineer, you will design, build, and operate the foundational infrastructure, deployment systems, and developer platforms that power our cybersecurity products across cloud and on-premise environments. You will work at the intersection of infrastructure engineering, cloud-native technologies, automation, reliability, and security to enable scalable and resilient product delivery.

You’ll collaborate closely with AI/ML, backend, security, QA, and product engineering teams to create self-service platforms, deployment pipelines, observability systems, and operational tooling that accelerate innovation while maintaining enterprise-grade reliability and security.

This role is ideal for Linux platform engineers and system specialists who excel at solving complex system challenges, automating wherever possible, and building resilient platforms that enable teams to move faster with confidence.

Why This Role Matters

Cybersecurity is undergoing a fundamental shift. AI is no longer an enhancement—it’s becoming the core engine of how detection, investigation, and response are executed. As our Platform Engineer, you will architect and build the infrastructure, automation, deployment, and operational systems that make this transformation real.

Your work will directly influence the scalability, reliability, and security of our AI-driven cybersecurity platform across both cloud and enterprise on-premise deployments. You’ll help establish the operational backbone that enables rapid innovation, secure product delivery, and resilient large-scale deployments in mission-critical environments.

This is a chance to solve novel technical challenges involving distributed systems, hybrid infrastructure, observability, automation, and secure software delivery while shaping how defenders outpace modern attackers.

What You’ll Do

●    Design, build, and own AWS infrastructure from the ground up (VPC architecture, EC2 fleet management, IAM, networking, security groups)

●    Administer and harden AlmaLinux VMs across production, staging, and dev environments

●    Build automation for provisioning, patching, and configuration management (infrastructure-as-code, config management tooling)

●    Design and implement observability: monitoring, logging, alerting, and on-call-worthy SLAs from scratch

●    Lead incident response — diagnosis, RCA, and post-incident documentation — with no dedicated ops team to escalate to

●    Make and document build-vs-buy and architecture decisions as the product and team scale

●    Work directly with founders/engineering to translate ambiguous asks into scoped technical plans

Impact You’ll Have

●    Accelerate engineering velocity through scalable developer platforms and automation

●    Improve deployment reliability, platform uptime, and operational efficiency

●    Enable secure and scalable AI-driven cybersecurity workloads

●    Reduce operational overhead through infrastructure automation and self-service systems

●    Help establish enterprise-grade cloud and on-premise deployment capabilities

●    Enhance product resiliency, observability, and operational excellence

●    Shape the long-term platform architecture powering next-generation cybersecurity products

●    Enable rapid and secure delivery of critical security innovations to customers

Required Experience

●    4+ years hands-on Linux administration (RHEL-family strongly preferred — AlmaLinux, CentOS, RHEL)

●    Deep Linux internals: systemd, networking, storage/LVM, process/resource management, kernel-level troubleshooting

●    Real AWS architecture experience — not just operating existing infra, but designing it (VPC, EC2, IAM, security groups, networking)

●    Demonstrated ability to scope and solve ambiguous problems independently, without a runbook or senior engineer to defer to

●    Scripting/automation proficiency (Python and/or Bash) beyond one-off scripts — built tooling that runs unattended

●    Track record of end-to-end ownership: has designed, built, and operated a system (not just contributed to one)

●    Clear, proactive communicator — documents decisions and explains reasoning without being asked

Required Skills & Qualifications

●    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.

As a DevOps Engineer at YOYO, you'll own the infrastructure and delivery backbone that keeps our platform running as we grow. You'll build the CI/CD, cloud infrastructure, and observability that let a small, fast-moving team ship confidently and you'll keep our AI and data workloads reliable and affordable at scale. This is a hands-on role with real ownership: you won't be maintaining someone else's setup, you'll be shaping ours. You'll work closely with the backend, AI/ML, and data teams to make deployment boring, incidents rare, and scaling a non-event.

If you are Interested DM me on LinkedIn - Saquib Mundagnur

 What You'll Own

CI/CD & developer experience - Build and maintain fast, reliable CI/CD pipelines so engineers ship multiple times a day with confidence. - Make the path from commit to production simple, safe, and repeatable, with sensible automated testing, rollbacks, and release controls.Cloud infrastructure & IaC - Own our cloud infrastructure (AWS/GCP) end to end, managed as code (Terraform or similar) — no click-ops. - Design for scale and cost-efficiency as store and conversation volumes grow.

Containers & orchestration - Run our services on containers/Kubernetes: deployments, autoscaling, networking, and resource management. - Support the specific needs of AI/ML workloads, including GPU-backed inference and batch processing for the speech pipeline.

Reliability & observability (SRE) - Own uptime, performance, and incident response — monitoring, logging, tracing, alerting, on-call, and blameless postmortems. - Define and defend SLOs; keep the platform dependable as it scales across clients.

Data & pipeline infrastructure - Support the infrastructure behind large-scale, edge-to-cloud data movement and processing (audio ingestion, ASR/AI pipelines, analytics). - Keep data workloads reliable, performant, and cost-aware.

Security & compliance - Bake security into the platform: secrets management, IAM/least-privilege, encryption in transit and at rest, network hardening, and vulnerability management. - Support compliance readiness (including India's DPDP Act and enterprise-client security requirements) for a product that handles sensitive customer conversations.

Cost & scale - Own cloud cost visibility and optimization; make scaling decisions that balance reliability and spend. 

What You'll Bring - 6+ years in DevOps, SRE, platform, or infrastructure engineering, running production systems at meaningful scale.

- Strong hands-on experience with a major cloud provider (**AWS or Azure or GCP**) and Infrastructure-as-Code (**Terraform** or equivalent).

- Solid experience with **containers and Kubernetes** in production. - Experience building and owning **CI/CD** pipelines (e.g. GitHub Actions, GitLab CI, Jenkins, Argo, or similar).

- Comfort with a scripting/automation language (Python, Go, or Bash) and a strong automation-first mindset.

- Real experience with **observability** (Prometheus/Grafana, ELK, Datadog, OpenTelemetry, or similar) and running incident response / on-call.

- A security-conscious approach — secrets, IAM, encryption, and least-privilege as defaults. - Startup temperament: ownership, pragmatism, and a bias to automate and ship. - Based in or willing to relocate to Bangalore, and up for an onsite/hybrid, in-person team

 The Role 

As a **DevOps Engineer** you'll own the infrastructure and delivery backbone that 

keeps our platform running as we grow. You'll build the CI/CD, cloud infrastructure, and 

observability that let a small, fast-moving team ship confidently — and you'll keep our AI and 

data workloads reliable and affordable at scale. 

This is a hands-on role with real ownership: you won't be maintaining someone else's setup, 

you'll be shaping ours. You'll work closely with the backend, AI/ML, and data teams to make 

deployment boring, incidents rare, and scaling a non-event. --- 

What You'll Own 

**CI/CD & developer experience** 

- Build and maintain fast, reliable CI/CD pipelines so engineers ship multiple times a day with 

confidence. - Make the path from commit to production simple, safe, and repeatable, with sensible 

automated testing, rollbacks, and release controls. 

**Cloud infrastructure & IaC** - Own our cloud infrastructure (AWS/GCP) end to end, managed as code (Terraform or 

similar) — no click-ops. - Design for scale and cost-efficiency as store and conversation volumes grow. 

**Containers & orchestration** - Run our services on containers/Kubernetes: deployments, autoscaling, networking, and 

resource management. - Support the specific needs of AI/ML workloads, including GPU-backed inference and batch 

processing for the speech pipeline. 

**Reliability & observability (SRE)** - Own uptime, performance, and incident response — monitoring, logging, tracing, alerting, 

on-call, and blameless postmortems. - Define and defend SLOs; keep the platform dependable as it scales across clients. 

**Data & pipeline infrastructure** - Support the infrastructure behind large-scale, edge-to-cloud data movement and 

processing (audio ingestion, ASR/AI pipelines, analytics). - Keep data workloads reliable, performant, and cost-aware. 

**Security & compliance** - Bake security into the platform: secrets management, IAM/least-privilege, encryption in 

transit and at rest, network hardening, and vulnerability management. - Support compliance readiness (including India's DPDP Act and enterprise-client security 

requirements) for a product that handles sensitive customer conversations. 

**Cost & scale** - Own cloud cost visibility and optimization; make scaling decisions that balance reliability 

and spend. --- 

What You'll Bring - 6+ years in DevOps, SRE, platform, or infrastructure engineering, running production 

systems at meaningful scale. - Strong hands-on experience with a major cloud provider (**AWS or Azure or GCP**) and 

Infrastructure-as-Code (**Terraform** or equivalent). - Solid experience with **containers and Kubernetes** in production. - Experience building and owning **CI/CD** pipelines (e.g. GitHub Actions, GitLab CI, 

Jenkins, Argo, or similar). 

- Comfort with a scripting/automation language (Python, Go, or Bash) and a strong 

automation-first mindset. - Real experience with **observability** (Prometheus/Grafana, ELK, Datadog, 

OpenTelemetry, or similar) and running incident response / on-call. - A security-conscious approach — secrets, IAM, encryption, and least-privilege as defaults. - Startup temperament: ownership, pragmatism, and a bias to automate and ship. - Based in or willing to relocate to Bangalore, and up for an onsite/hybrid, in-person team. 

Bonus Points - Experience running **ML/AI or GPU workloads** in production (inference serving, batch 

pipelines, model deployment). - Experience with data-intensive infrastructure — streaming/queues (Kafka, SQS), data 

pipelines, or large object/audio storage. - Exposure to **edge devices / IoT fleets**, OTA updates, or high-volume device-to-cloud 

ingestion. - Experience with compliance/security frameworks (SOC 2, ISO 27001, DPDP). - FinOps / cloud cost-optimization experience. - Early-stage startup experience. --- 

Why Join - Own infrastructure that's already live with leading retail brands and growing fast — real 

scale, real impact. - Work across genuinely interesting workloads: speech AI, GPU inference, large-scale data, 

and edge-to-cloud ingestion. - Small team, high ownership, direct line to engineering leadership — your decisions ship. - Build the platform foundation of a category-defining product from an

Job Title : DevOps Engineer / Site Reliability Engineer (SRE)

Experience : 5+ Years

Location : Gurugram, Haryana

Work Mode : On-site (Full-time)

About the Role :

We are looking for a skilled DevOps Engineer with 5+ years of experience in cloud infrastructure, CI/CD, automation, Kubernetes, and Site Reliability Engineering (SRE). The ideal candidate will be responsible for building scalable cloud infrastructure, automating deployments, improving system reliability, and ensuring high availability across production environments.

Mandatory Skills :

AWS, Terraform, Ansible, CloudFormation, Jenkins, GitLab CI, GitHub Actions, Docker, Kubernetes, Helm, Python, Bash, Grafana, Prometheus, ELK Stack, CloudWatch, New Relic, SRE, CI/CD, Infrastructure as Code (IaC), Linux

Key Responsibilities :

• Design, deploy, and manage cloud infrastructure primarily on AWS (EC2, VPC, IAM, S3, RDS, Route53, ALB, Auto Scaling, Lambda).
• Build and maintain Infrastructure as Code (IaC) using Terraform, Ansible, and CloudFormation.
• Develop and optimize CI/CD pipelines using Jenkins, GitLab CI, and GitHub Actions.
• Deploy and manage containerized applications using Docker, Kubernetes, and Helm.
• Implement monitoring and observability using Grafana, Prometheus, ELK Stack, CloudWatch, and New Relic.
• Drive SRE practices by defining SLIs, SLOs, SLAs, handling production incidents, conducting RCA, and improving system reliability.
• Automate operational tasks using Python, Bash, and Groovy scripting.
• Collaborate with Development, QA, Security, and Operations teams to ensure reliable and secure software delivery.

Required Skills & Qualifications :

• Bachelor's degree in Computer Science, IT, Electronics, or a related field.
• 5+ years of experience in DevOps, SRE, or Cloud Infrastructure.
• Strong expertise in AWS, with exposure to Azure/GCP.
• Hands-on experience with Terraform, Ansible, CloudFormation, Docker, Kubernetes, Helm, Jenkins, GitLab CI, GitHub Actions, and Git.
• Strong scripting skills in Python and Bash.
• Experience with monitoring tools such as Grafana, Prometheus, ELK Stack, CloudWatch, and New Relic.
• Good understanding of Linux, networking, SQL, and cloud security best practices.

Preferred Skills :

• Experience with multi-cloud environments and DevSecOps practices.
• Knowledge of disaster recovery, automation, and microservices architecture.
• Strong troubleshooting, communication, and problem-solving skills.

WowPe is a leading fintech company revolutionizing the way businesses handle financial transactions. Our suite of innovative products includes a secure Payment Gateway for seamless online transactions, robust Payouts solutions to streamline bulk payments, and a versatile Point of Sale (POS) system for efficient in-store transactions. At WowPe, we’re dedicated to providing user-friendly, scalable, and reliable solutions that empower businesses to grow and succeed in today’s fast-paced digital economy.

We are looking for a highly skilled Cloud Infrastructure & Cloud Network Engineer to design, build, and manage secure, scalable hybrid cloud environments at WowPe. This role will focus on cloud networking, hybrid connectivity, infrastructure automation, security, reliability, and performance across on-prem and cloud platforms (AWS/Azure). You will play a critical role in ensuring high availability, security, and performance of our fintech platforms.

A Day in the Life

• Design and review cloud network architectures (VPC/VNet, routing, segmentation)
• Troubleshoot latency, connectivity, VPN, and performance issues
• Work with DevOps and application teams to support deployments and scalability
• Automate infrastructure provisioning and security guardrails
• Monitor network health, traffic flow, and system performance
• Ensure security, compliance, and disaster recovery readiness
• Support hybrid connectivity between on-prem data centers and cloud environments.

Key Responsibilities

Cloud Networking & Hybrid Architecture

• Design and implement VPC/VNet architectures, subnetting, routing tables, NAT, gateways, and secure segmentation
• Build and manage hybrid connectivity between on-prem data centers and cloud using Site-to-Site VPN, ExpressRoute, Direct Connect
• Configure and manage Layer 4 & Layer 7 load balancers for high availability and traffic distribution
• Architect DNS, CDN, and edge networking strategies for low-latency global access

Security & Zero-Trust

• Implement Zero-Trust networking using security groups, NACLs, identity-aware proxies, mTLS
• Design secure access controls and network isolation
• Work closely with security teams to ensure PCI, ISO, SOC compliance readiness

Automation, Platform & Reliability

• Automate infrastructure provisioning using Infrastructure as Code (Terraform/ARM/CloudFormation)
• Build self-healing, auto-scaling architectures with health checks and fault tolerance
• Support and manage Kubernetes clusters (EKS/AKS) including networking and service communication
• Integrate infra with CI/CD pipelines for safe and frequent deployments

Operations & Observability

• Perform advanced troubleshooting for latency, packet loss, MTU, routing loops
• Implement and manage monitoring, logging, and observability (Prometheus, Grafana, ELK, Azure Monitor, CloudWatch)
• Design and maintain disaster recovery architectures, multi-region networking, and replication strategies
• Ensure high availability, performance optimization, and cost efficiency

Basic Qualifications & Skills

• 4+ years of experience in Cloud Infrastructure & Cloud Networking
• Strong hands-on experience with AWS and/or Azure
• Deep understanding of VPC/VNet, routing, NAT, gateways, load balancers, DNS
• Experience with Hybrid connectivity (VPN, ExpressRoute, Direct Connect)
• Solid knowledge of network security, firewalls, access control, segmentation
• Hands-on experience with Infrastructure as Code (Terraform preferred)
• Experience in monitoring, troubleshooting, and incident handling
• Strong understanding of high availability, DR, and performance optimization

Preferred Qualifications

• Experience in fintech, BFSI, or high-compliance environments
• Exposure to Zero-Trust architecture and security best practices
• Experience with Kubernetes (EKS/AKS), service mesh, microservices networking
• Familiarity with CI/CD pipelines and DevOps practices
• Knowledge of CDN, edge networking, and global traffic management
• Experience with compliance frameworks (PCI-DSS, ISO 27001, SOC2)
• Ability to design large-scale, resilient, production-grade architectures