Cloud Engineer

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

Cloud Expertise(Azure):

• Strong understanding of cloud services and resources like AI services, webapp, database, including monitoring tools like Azure Monitor and Log Analytics.

• Experience with Infrastructure as Code (IaC) tools such as Arm template / Bicep/Terraform.

• Deep understanding of Networking concepts(DNS, DHCP , Hub and Spoke).

• Understanding on policies and security aspects of cloud.

Kubernetes & Helm:

• In-depth knowledge of Kubernetes concepts such as pods, services, ingress, config maps, and secrets.

• Understand of Kubernetes templates and its deployment.

• Proficiency with Helm/ Kustomize or equivalent for Kubernetes package management and deployment automation.

• Implement Kubernetes best practices, including security, networking, and scaling.

• Concepts of Docker and Containers

CI/CD & Programming:

• Hands-on experience with YAML-based CI/CD pipelines (e.g., Azure DevOps, GitHub Actions).

• Familiarity with scripting and automation tools such as PowerShell, Azure CLI, or Bash.

• Proven skill in python programming and concepts.

Monitoring and Observability:

Expertise in creating and managing Grafana dashboards for visualizing metrics and logs.

• Knowledge of Log Analytics & Azure Application Insights for performance monitoring and tracing.

Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).

3+ years of hands-on experience with Microsoft Azure, including IaaS, PaaS, networking, identity (Entra ID), and governance services.

2+ years of experience with DevOps tooling and practices, including CI/CD pipelines (Azure DevOps or GitHub Actions), Infrastructure as Code (Terraform, Bicep, or ARM), and version control (Git).

2+ years' experience in infrastructure design, platform engineering, or architecture.

Strong proficiency with automation and scripting — PowerShell, Azure CLI, Python, or Bash.

Solid understanding of containerisation (Docker) and familiarity with orchestration platforms (Azure Kubernetes Service).

Deep understanding of cloud architecture, deployment patterns, and management best practices, including the Azure Well-Architected Framework.

Experience defining standards, governance frameworks, and reference architectures for cloud platform consumption.

Strong knowledge of networking concepts, storage configurations, virtualisation technologies, and disaster recovery/backup design for hybrid environments.

Experience with Azure DevOps (Repos, Pipelines, Boards, Artifacts) or equivalent platforms.

Familiarity with identity and access management (IAM), including Entra ID, RBAC, PIM.

Strong understanding of security, compliance requirements, and IT governance frameworks (ITIL, COBIT, or similar).

Preferred

About Shopalyst:

Shopalyst offers a Discovery Commerce platform for digital marketers. Combining data, AI and deep integrations with digital media and e-commerce platforms, Shopalyst connects people with products they love. More than 500 marquee brands leverage our SaaS platform for data driven marketing and sales in 30 countries across Asia, Europe and Americas. We have offices in Fremont CA, Bangalore, and Trivandrum. Our company is backed by Kalaari Capital.

About the Role:

• This position is responsible for end to end management of Shopalyst's cloud infrastructure platform (AWS and Google Cloud).
• Candidate should have a bachelor's degree in Computer Science and Engineering (or equivalent) plus minimum 3+ years of experience in managing AWS cloud infrastructure.

Core responsibilities:

Infra management

• Review infrastructure change requests, suggest & implement optimal solution in terms of performance, maintainability & cost
• Keep the infrastructure updated/upgraded. This includes servers, operating system, packages and application software
• Maintain all infrastructure configuration as IaC (Infrastructure as Code)

Infra monitoring and site reliability

• Continuous monitoring of infrastructure and ensuring 24x7 availability
• Implement/maintain automated alerting mechanisms for handling infra outages
• Document and maintain infra recovery procedures, ensure successful backup of critical data
• Continuously monitor infra utilization and alert on when to scale up/scale down instances

Infra Security, Compliance & Certifications

• Infrastructure access management - ensure least privilege as the default policy. Review infra access periodically. Manage access to critical systems like AWS/Open VPN
• Adherence to CIS/AWS security benchmarks on AWS Security Hub
• Implement controls required for different attestations/certifications like SOC 2 Type 2,ISO 27xxx, PCI DSS etc

DevOps

• Enable CI/CD process for application deployment

Infra cost monitoring and optimisation

• Services-wise infrastructure cost monitoring analysis and optimisation

Infra trends and new services

• Evaluate new cloud services, analyse feasibility of adoption

Required Skills and Experience:

• AWS: 3+ years experience with using a broad range of AWS technologies (e.g. EC2,S3, ELB, VPC,Route 53, IAM, CloudWatch, CloudFront, RDS, Lambda, Glacier) to develop and maintain an Amazon AWS based cloud solution
• DevOps: Solid experience as a DevOps Engineer in a 24x7 uptime Amazon AWS environment, including automation experience with configuration management tools.
• Infra automation: Experience in Terraform/Ansible
• Scripting Skills: Strong scripting (e.g. Python) and automation skills.
• Operating Systems: Linux system administration and strong shell scripting skills
• Monitoring Tools: Experience with web servers (e.g. Nginx).
• Problem Solving: Ability to analyze and resolve complex infrastructure resource and application deployment issues.

Desired Skills (Not essential but beneficial to have):

• DB Skills: Basic DB administration experience - Cassandra, RDS, MySQL
• Search engines: Experience with search engines such as Apache Solr/Elastic Search
• Version Control: Experience administrating version control systems such as Git

Senior Cloud Site Reliability Engineer (CSRE) – Azure

About Searce:

Searce is an AI-native, engineering-led modern technology consultancy that empowers

clients to futurify their businesses by delivering real, intelligent business outcomes. As a

trusted partner for over 3,000 clients globally, Searce specializes in cloud modernization,

data engineering, applied AI, and robust cloud platform security. Driven by a "HAPPIER"

cultural mindset and our proprietary evlos problem-solving framework, we eliminate

bureaucratic fluff to build working prototypes fast and scale enterprise production

environments intelligently. We don't just fix systems; we leverage multi-cloud technologies

to transform client operations into distinct competitive advantages.

Position Overview:

We are looking for a high-caliber Senior or Lead Cloud Site Reliability Engineer (CSRE) to

architect, secure, and stabilize next-generation hybrid and multi-cloud environments.

Operating at the intersection of infrastructure design, security compliance, and production

operations, you will serve as the technical Subject Matter Expert (SME) across GCP, Azure,

and AWS.

Whether optimizing a microservice mesh on GKE, tuning autoscaling on AKS, or driving a

massive disaster recovery drill across AWS regions, your focus will be absolute reliability. For

the Lead path, you will couple this deep engineering toolkit with stakeholder management

and mentorship to drive an elite operational culture.

Experience & Level Expectation:

Years of Experience: 3 to 10 years of intensive, hands-on production operations

experience in a dedicated DevOps, Cloud Platform Engineering, or SRE role.

Associate level (3-5 Years): Expected to show flawless execution of IaC, advanced

triaging of infrastructure failures, and ownership of the CI/CD and deployment

lifecycles.

Intermediate level (5-10 Years): Expected to take architectural ownership, serve as

primary Incident Commander for complex outages, design cross-cloud governance

frameworks, and act as a reliable bridge between technical teams and client

leadership.

Key Responsibilities & Role Expectations:

Multi-Cloud Platforms & Orchestration: Design, configure, and maintain

production-grade Kubernetes clusters across major platforms (AKS).

Manage advanced network routing, service meshes (e.g., Istio), and multi-tenant

isolation.

Infrastructure as Code (IaC) & GitOps: Build declarative, enterprise-grade, reusable

infrastructure components using Terraform or Crossplane. Standardize automated

environment provisioning to eliminate configuration drift across multi-branch

environments.

Incident Management & Reliability (SRE): Own and optimize the production on-call

rotation. Lead rapid mitigation strategies for Sev-1/Sev-2 system outages, reducing

Mean Time to Recovery (MTTR) through centralized log and metric correlation.

Root Cause Analysis (RCA): Facilitate rigorous, blameless post-incident reviews to

identify core architectural vulnerabilities and establish long-term fixes preventing

recurrence.

Lifecycle, Patching & Upgrades: Plan and execute zero-downtime cluster upgrades,

operating system patching strategies (Linux/Windows), database lifecycle updates,

and multi-region Disaster Recovery (DR) failover drills.

Core Core Operations & Legacy Integration: Manage enterprise-level hybrid

networking architecture (VPCs, Firewalls, Load Balancers, DNS routing, and DHCP

configurations) while effectively connecting cloud native services to legacy

infrastructures like Active Directory.

Security & Governance: Embed Zero Trust policies, secure secrets management

(Secrets Manager/Key Vault), and continuous vulnerability patching into the

automated SDLC pipeline.

Required Technical Skills:

- Microsoft Azure: Azure Virtual Machines, Virtual Networks, Azure Active Directory, Azure Update Management.

- Containers & Orchestration

• Production-level management of GKE, AKS, and EKS.
• Advanced mastery of Docker, Helm, Kubernetes StatefulSets, Pod Disruption

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.

About the Role

The non-negotiable is deep, hands-on infrastructure expertise spanning hybrid cloud and self-hosted systems. You will architect and maintain our unique infrastructure combining AWS CDN, bare metal servers, and Kubernetes clusters. This is not just maintenance work: you will establish company-wide DevOps policy, build security-hardened environments, and create the documentation and processes that scale with us. You will design our CI/CD pipelines, implement zero-trust networking, and guide the technical team on how to keep our production systems robustly online. This role is hands-on, autonomous, and sets the standard for how we approach infrastructure as the company grows.

What You'll Build

•  Hybrid Infrastructure Management: Architect and maintain our unique infrastructure spanning AWS CDN, bare metal servers, and Kubernetes clusters for computationally intensive facial analysis workloads.
• CI/CD Pipeline Architecture: Design and implement CircleCI or Jenkins pipelines with comprehensive build testing, versioning, and change logging.
• Zero-Trust Networking: Build and maintain mesh topology networks using Tailscale or Wireguard to securely connect our hybrid infrastructure.
• Security-First Culture: Establish and enforce security policies including key rotation, access controls, compliance frameworks, and employee security management.
• Infrastructure as Code: Document and codify all infrastructure decisions, creating repeatable, auditable deployments.
• Containerization Strategy: Implement and optimize Docker/K8s deployments for our AI/ML workloads.
• Cost Optimization: Continue our approach of strategic compute placement using owned, rented or borrowed infrastructure where it makes financial sense without sacrificing security or reliability.
• Observability & Monitoring: Implement comprehensive logging, monitoring, and alerting across our distributed systems.

What We're Looking For

•  5+ years of DevOps or infrastructure engineering experience, with a track record of building from scratch
• Hybrid infrastructure expertise: experience managing both cloud (AWS) and self-hosted infrastructure, understanding the tradeoffs and security risks of each
• Kubernetes production experience: deep knowledge of cluster design, operations, and scaling
• Networking mastery: strong understanding of VPCs, mesh networks, VPNs, and zero-trust architectures
• Security-first mindset: experience with security compliance, key management, IAM policies, and hardening production systems
• CI/CD expertise: hands-on experience building robust pipelines for build testing before deployment
• Infrastructure as Code: proficiency with Terraform, Ansible, or similar tools
• Scripting and automation: strong Python, Bash, or Go skills for tooling and automation
• Policy and documentation: ability to establish best practices and document them clearly for team adoption
• Leadership mentality: comfortable setting standards and directing technical decisions, not just executing them

Nice to Have

• Experience architecting infrastructure for AI/ML workloads
• Background in a fast-moving startup or scale-up environment
• H ands-on experience with cost optimization across cloud and on-premises infrastructure

Why Join

• Opportunity to solve real healthcare problems with cutting-edge technology
• Well-funded startup with a strong market presence
• Work with advanced AI technology in a healthcare context
• Collaborate with a talented team in a fast-paced environment
• Competitive salary with equity options
• Performance and quarterly bonuses
• Professional development opportunities

Compensation and Logistics

• Remote, full-time
• Reports to: Head of Engineering
• Competitive based on experience

Cloud Network Engineer – Job Description

Location: Hyderabad

Experience: 6.5+ Years

Role: Cloud Network Engineer

Job Summary

We are looking for an experienced Cloud Network Engineer with strong expertise in AWS or Azure networking and hands-on experience in LAN/WAN infrastructure, network troubleshooting, and cloud connectivity.

Key Responsibilities

• Design, implement, and support cloud networking infrastructure across AWS or Azure.
• Manage and troubleshoot LAN, WAN, VPN, routing, switching, and network connectivity issues.
• Configure and manage VPC/VNet, subnets, route tables, security groups, and network ACLs.
• Monitor network performance, identify bottlenecks, and resolve connectivity issues.
• Work with firewalls, load balancers, DNS, DHCP, TCP/IP, and VPN technologies.
• Support connectivity between on-premises data centers and cloud environments.
• Perform root-cause analysis and troubleshoot complex network incidents.
• Collaborate with cloud, infrastructure, security, and application teams for network requirements.
• Maintain network documentation, configurations, and operational procedures.

Must-Have Skills

• 6.5+ years of experience in Network Engineering.
• Strong hands-on experience in AWS or Azure Networking.
• Good knowledge of LAN/WAN, TCP/IP, routing, and switching.
• Strong network troubleshooting and problem-solving skills.
• Experience with VPN, DNS, DHCP, firewalls, and load balancing.
• Experience with cloud-to-on-premises connectivity.
• Good understanding of network security concepts.

Work Location: Hyderabad.

The Data People Shaping Tomorrow | Your Career, Accelerated

You’ve got the skills. The curiosity. The hunger to grow, try new things and make a real impact. We’re a growing global tech consultancy. Some of the world's biggest businesses turn to us to help bring their data, AI, cloud and digital solutions to life.

We’re the home base for talented technologists who want more and are looking to take their career to the next level by having more learning, more variety, more support and more chances to do meaningful work. If that sounds like the kind of place you’d thrive in, keep reading.

What You’ll Do

●GCP Architecture & Infrastructure: Design, build, and maintain scalable enterprise cloud infrastructure within Google Cloud Platform (GCP 2.0), ensuring high availability and adherence to cloud governance best practices.

●Automation & IaC Excellence: Develop, manage, and automate infrastructure deployments at scale using Terraform as Infrastructure as Code (IaC).

●CI/CD Infrastructure & Tooling: Build, optimize, and support robust CI/CD infrastructure and pipelines using GitLab to streamline provisioning, configuration, and code delivery.

●Cloud Networking & Enterprise Security: Implement and maintain enterprise cloud networking solutions, secure cross-cloud connectivity, and cloud security configurations to safeguard platform operations.

●Operations & Change Governance: Support platform services and enterprise cloud operations, driving troubleshooting, incident resolution, and performance tuning across complex cloud and hybrid environments.

●Technical Leadership & Mentoring: Act as a cloud infrastructure Subject Matter Expert (SME), collaborating with platform engineering, networking, and application teams while mentoring junior engineers.

●Strategic Integrations & Stakeholder Management: Support connectivity and seamless integrations for enterprise core systems (including SAP environments), translating technical cloud architectures into clear, actionable outcomes for business and technical stakeholders.

What We Are Looking For

● 6+ years of high-impact engineering experience architecting, building, and operating enterprise cloud infrastructure on Google Cloud Platform (GCP).

●Deep proficiency in Infrastructure as Code (IaC) using Terraform for automated infrastructure provisioning and lifecycle management.

●Advanced technical expertise with GitLab, including CI/CD pipeline design, optimization, and repository management.

●Strong foundation in cloud networking and security, including VPC design, enterprise connectivity, routing, and identity management.

●Proven track record in enterprise cloud operations, automation, and infrastructure troubleshooting across complex environments.

●Experience supporting core enterprise integrations, such as SAP or large-scale enterprise applications on cloud platforms.

●Outstanding communication skills with a proven ability to collaborate across platform teams and influence technical and business stakeholders[cite: 2].

What You’ll Get

Your work matters—and so do you. That’s why we back your skills with a structure that supports

your development, celebrates your wins, and helps you keep growing - professionally and

personally.

Growth & Development

●Accelerate your career: Lead delivery across diverse industries and cutting-edge technologies to expand your leadership mindset.

●Access global brands: Engage directly with world-leading businesses and manage relationships at the executive level.

●Proprietary frameworks & accelerators: Use our playbooks and toolkits to fast-track meaningful work and project outcomes.

●Paid Certifications: Stay ahead with certifications across ITIL, PMP, and all major cloud platforms.

Culture & Rewards

●Supportive Leadership: Benefit from senior mentoring and clear pathways into practice leadership or account management.

●360° Progress Reviews: Honest, developmental feedback to fuel your professional growth.

●Guilds & Weekly Training: Learn from peers in communities focused on data, AI, and delivery excellence.

●Hackathons & Innovation Days: Challenge yourself to build cool stuff beyond business as usual.

●Kudos & Recognition: Great work doesn’t go unnoticed, supported by impact-based rewards and incentives.

●Articulate: Master executive communication through our specialized public speaking program.

●Employee Assistance Program: Full-spectrum support for your medical, mental, and personal wellbeing.

●Real Connection: From Friday socials to team-building days, we genuinely enjoy the ride together.

Final Word

If you’re looking for the place where your growth will go into overdrive, where you’ll work with

great humans, get access to cutting-edge tools and genuinely enjoy the ride?

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.