Cloud Architect

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.

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.

Preferred Skills

• Experience supporting AI/GenAI, chatbot, or multi-agent platforms.
• AWS Certifications (Associate/Professional).
• Banking or Financial Services domain experience.

Job Summary:

We are looking for an experienced Cloud / DevOps Engineer with strong hands-on experience in AWS, Kubernetes, OpenShift, and Linux. The candidate will be responsible for managing cloud infrastructure, containerized applications, deployments, and production environments.

Roles & Responsibilities:

• Design, deploy, and manage cloud infrastructure on AWS.
• Manage and administer Kubernetes and OpenShift environments.
• Deploy, configure, and troubleshoot containerized applications.
• Perform Linux administration, troubleshooting, and system monitoring.
• Monitor application and infrastructure performance and resolve production issues.
• Automate deployment and operational activities wherever possible.
• Work with development and operations teams to support application deployments.
• Ensure system availability, reliability, and security.
• Troubleshoot issues related to Kubernetes clusters, containers, networking, and Linux systems.
• Follow DevOps best practices for CI/CD, infrastructure management, and automation.

Required Skills:

• 7–10 years of relevant experience in Cloud/DevOps.
• Strong hands-on experience with AWS.
• Good knowledge of Kubernetes and OpenShift.
• Strong Linux administration and troubleshooting skills.
• Experience in containerization and deployment of applications.
• Good understanding of cloud infrastructure and production support.

AWS / Kubernetes / OpenShift / Linux – Job Description

Role: Cloud / DevOps Engineer

Experience: 4–8 Years

Location: Bangalore

Mandatory Skills: AWS, Kubernetes, OpenShift, Linux

Job Summary

Looking for a Cloud/DevOps Engineer with strong hands-on experience in AWS, Kubernetes, OpenShift, and Linux. The candidate will be responsible for managing cloud infrastructure, container platforms, deployments, monitoring, and troubleshooting.

Key Responsibilities

• Manage and support AWS cloud infrastructure and services.
• Deploy and manage applications using Kubernetes and OpenShift.
• Perform Linux administration, troubleshooting, and issue resolution.
• Monitor application and infrastructure health and resolve production issues.
• Work on containerized applications and deployments.
• Support scaling, configuration, upgrades, and maintenance of Kubernetes/OpenShift environments.
• Troubleshoot cloud, container, and Linux-related issues.
• Collaborate with development and operations teams for deployments and releases.
• Follow security, availability, and operational best practices.

Mandatory Skills

• Strong hands-on experience in AWS
• Good experience with Kubernetes
• Hands-on experience in OpenShift
• Strong Linux administration and troubleshooting skills
• Experience in cloud/container environment support
• Good production troubleshooting and incident management skills

TECHJAYS

THE AI REIMAGINATION COMPANY

Position DevOps Lead

Experience 10+ Years

Location Coimbatore / Hybrid

Joining Immediate / ASAP

Primary SkillsDevOps, AWS or Azure, CI/CD, Kubernetes, Docker, Terraform, Linux, Git, Cloud Infrastructure, Infrastructure Automation, Monitoring & Observability

Preferred SkillsAI/ML Infrastructure Exposure, GenAI Applications, GitOps, Argo CD, Prometheus, Grafana, Python, Bash, PowerShell, Cloud Security, FinOps

About Techjays

At Techjays, we're helping businesses reimagine how they build, operate, and scale with AI at the core. We focus on developing secure, scalable, production-grade AI systems that solve complex business challenges and deliver measurable business outcomes.

Our team brings together experienced engineers and technology leaders from organizations such as Google, NetApp, ADP, Cognizant Consulting, and Capgemini. We work with global clients to build advanced AI-powered applications, enterprise platforms, and intelligent automation solutions.

We're looking for a DevOps Lead who can take ownership of cloud infrastructure, deployment automation, CI/CD pipelines, platform reliability, and engineering operations.

The ideal candidate will have deep hands-on expertise in either AWS or Azure, along with strong experience in Kubernetes, containerization, Infrastructure as Code, and production cloud environments.

You will lead the design and implementation of reliable infrastructure platforms, establish DevOps best practices, and work closely with software engineering and AI teams to support the deployment and operation of modern applications.

This role requires a strong hands-on cloud and DevOps specialist who can architect, implement, troubleshoot, and optimize production infrastructure. Prior exposure to AI/ML or AI-enabled applications is required, but specialized MLOps expertise is not mandatory.

Key Responsibilities

1. Cloud Infrastructure & Architecture

• Lead the design, implementation, and management of scalable, secure, and highly available cloud infrastructure.
• Own cloud infrastructure architecture and operations across AWS or Azure.
• Design and manage cloud environments covering compute, networking, storage, databases, and container platforms.
• Establish infrastructure standards, architecture patterns, and operational best practices.
• Manage cloud resource provisioning, configuration, scaling, and environment management.
• Ensure infrastructure meets requirements for availability, performance, security, and reliability.
• Drive infrastructure improvements through automation and continuous optimization.

2. DevOps & CI/CD Engineering

• Design, implement, and maintain CI/CD pipelines for application development and deployment.
• Manage multi-stage deployment workflows across development, testing, staging, and production environments.
• Implement automated build, testing, deployment, and release processes.
• Establish reusable pipeline templates, deployment standards, and approval workflows.
• Manage deployment strategies, including rolling, blue/green, and canary deployments.
• Implement rollback mechanisms and ensure reliable production releases.
• Integrate CI/CD workflows with source control, artifact repositories, and container registries.
• Continuously improve deployment efficiency, release reliability, and engineering productivity.

3. Containerization & Kubernetes Management

• Architect and manage containerized application environments using Docker and Kubernetes.
• Manage production Kubernetes clusters using Amazon EKS or Azure AKS.
• Implement Kubernetes configurations covering deployments, services, networking, secrets, storage, and resource management.
• Work with Helm charts for application packaging and deployment.
• Optimize container resource utilization, application scaling, and cluster performance.
• Troubleshoot complex container and Kubernetes-related production issues.
• Establish best practices for container security and workload reliability.

4. Infrastructure as Code & Automation

• Implement Infrastructure as Code using Terraform and cloud-native provisioning tools.
• Automate infrastructure provisioning, configuration management, and environment setup.
• Develop reusable infrastructure modules and deployment automation workflows.
• Use Python, Bash, or PowerShell to automate operational tasks and improve efficiency.
• Reduce manual intervention through standardization and automation.
• Maintain infrastructure documentation, configuration standards, and version-controlled deployment workflows.

5. Monitoring, Reliability & Production Operations

• Establish centralized monitoring, logging, alerting, and observability across cloud environments.
• Implement monitoring solutions using CloudWatch, Azure Monitor, Prometheus, Grafana, or equivalent platforms.
• Monitor application availability, infrastructure health, resource utilization, and system performance.
• Lead troubleshooting and resolution of complex production incidents.
• Conduct root cause analysis and implement permanent corrective actions.
• Establish operational practices for backup, disaster recovery, availability, and business continuity.
• Improve system reliability through proactive monitoring and performance optimization.

6. Cloud Security & Governance

• Implement cloud security best practices across infrastructure and application environments.
• Manage IAM, RBAC, access controls, service identities, and secrets management.
• Secure cloud networking, virtual networks, firewalls, and infrastructure access.
• Implement container security and infrastructure hardening practices.
• Ensure cloud environments follow organizational security and compliance requirements.
• Identify infrastructure vulnerabilities and coordinate remediation activities.
• Establish secure deployment and configuration management practices.

7. AI Infrastructure & Engineering Collaboration

• Work closely with AI/ML and software engineering teams to provide infrastructure for AI-powered applications.
• Support the deployment and operation of LLM-based applications, AI services, and AI-enabled platforms.
• Design cloud infrastructure capable of supporting AI workloads, including compute, storage, networking, and containerized services.
• Support the infrastructure requirements of AI applications across development, testing, and production environments.
• Collaborate with engineering teams to improve deployment reliability, scalability, and operational performance of AI-powered systems.
• Evaluate infrastructure technologies and tools that support evolving AI application requirements.

8. Technical Leadership & Team Development

• Provide technical leadership to DevOps engineers and guide implementation across projects.
• Establish engineering standards, infrastructure best practices, and operational procedures.
• Mentor team members on cloud architecture, automation, CI/CD, Kubernetes, and production operations.
• Lead technical discussions and make architecture decisions involving infrastructure and DevOps technologies.
• Collaborate with engineering, security, and product teams to align infrastructure capabilities with business requirements.
• Drive continuous improvement across DevOps processes, tools, and engineering practices.

Required Technical Skills & Experience

1. Cloud Platforms

• 10+ years of overall experience in DevOps, cloud infrastructure, or platform engineering.
• Strong hands-on expertise in at least one major cloud platform: AWS or Azure.
• Practical experience designing, deploying, and operating production-grade cloud infrastructure.

AWS: EC2, S3, IAM, VPC, EKS, Lambda, ECR, CloudWatch, and related infrastructure services.

Azure: Azure Virtual Machines, VNets, AKS, Azure DevOps, Azure Container Registry, Azure Monitor, Key Vault, and related infrastructure services.

Candidates do not need to be experts in both AWS and Azure. Deep expertise in either platform is the priority.

2. DevOps & CI/CD

• Strong experience designing and maintaining CI/CD pipelines.
• Hands-on experience with Azure DevOps, Jenkins, GitHub Actions, GitLab CI, or equivalent tools.
• Understanding of multi-stage pipelines, automated deployments, release approvals, and artifact management.
• Experience implementing deployment automation and rollback strategies.
• Strong understanding of Git workflows and version control practices.

3. Containers & Kubernetes

• Strong hands-on experience with Docker and Kubernetes.
• Practical experience managing EKS or AKS environments.
• Understanding of Kubernetes networking, scaling, storage, secrets, and workload management.
• Experience with Helm and container orchestration.
• Ability to troubleshoot production container and Kubernetes environments.

4. Infrastructure as Code & Scripting

• Strong experience with Terraform and Infrastructure as Code practices.
• Familiarity with CloudFormation, Bicep, ARM templates, or similar tools.
• Working knowledge of Python, Bash, or PowerShell for infrastructure automation.
• Strong understanding of Linux administration and system troubleshooting.

5. Monitoring & Reliability Engineering

• Experience implementing infrastructure and application monitoring.
• Familiarity with CloudWatch, Azure Monitor, Prometheus, Grafana, and centralized logging solutions.
• Understanding of incident management, root cause analysis, performance optimization, and system availability.
• Experience establishing alerting, operational dashboards, and reliability practices.

6. AI/ML Infrastructure Exposure

• Prior experience supporting AI/ML applications, Generative AI platforms, LLM applications, or AI-enabled products.
• Understanding of infrastructure requirements for deploying and operating AI-powered applications.
• Familiarity with containerized AI services, cloud-based model integrations, and scalable application environments.

Note: This role does not require specialized MLOps expertise or model development experience. Strong cloud and DevOps engineering fundamentals remain the primary requirement.

Preferred Skills

• Experience implementing GitOps workflows using Argo CD or similar tools.
• Experience with blue/green deployments, canary releases, and automated rollback mechanisms.
• Exposure to cloud security, enterprise networking, governance, and landing-zone architecture.
• Experience with cloud cost optimization and FinOps practices.
• Familiarity with AI/ML infrastructure and production GenAI applications.
• Experience with Python-based automation and infrastructure tooling.
• Relevant AWS, Azure, Kubernetes, or Terraform certifications.

What We're Looking For Beyond Skills

• Cloud Expertise: Deep technical specialization in AWS or Azure, with the ability to design and manage production infrastructure independently.
• Hands-on Engineering: Someone who actively builds, automates, troubleshoots, and improves infrastructure rather than focusing only on team management.
• Technical Ownership: Takes responsibility for infrastructure reliability, deployment quality, security, and operational performance.
• System Thinking: Understands how cloud infrastructure, applications, networking, databases, and deployment pipelines work together.
• Problem-Solving: Ability to diagnose complex production issues and implement long-term engineering solutions.
• Automation Mindset: Continuously identifies opportunities to eliminate manual work and improve operational efficiency.
• Technical Leadership: Can mentor engineers, establish best practices, and drive technical decisions.
• AI Readiness: Has practical exposure to supporting AI-powered applications and understands their infrastructure requirements.
• Collaboration: Works effectively with software engineering, AI/ML, security, and product teams.

Typical Technology Environment

AreaTechnologiesCloud PlatformsAWS, AzureCI/CDAzure DevOps, GitHub Actions, Jenkins, GitLab CIContainersDocker, Kubernetes, EKS, AKS, HelmInfrastructure as CodeTerraform, CloudFormation, Bicep, ARMGitOpsArgo CD, Git-based deployment workflowsMonitoring & ObservabilityCloudWatch, Azure Monitor, Prometheus, GrafanaAutomationPython, Bash, PowerShellOperating SystemsLinux, WindowsSecurityIAM, RBAC, Secrets Management, Network SecurityAI ExposureAI/ML Applications, GenAI, LLM Platforms, AI-enabled Products

What We Offer

• Competitive compensation aligned with experience and expertise.
• Coimbatore office-based work environment with hybrid flexibility.
• Opportunity to lead cloud infrastructure and DevOps engineering for global clients.
• Exposure to modern AWS/Azure, Kubernetes, automation, and AI engineering practices.
• Paid holidays and flexible time off.
• Medical insurance covering self and family, up to ₹4 lakh per person.
• Opportunities to influence infrastructure architecture and engineering practices.
• A culture that values clarity, integrity, ownership, and continuous growth.

Join Techjays

If you're passionate about building reliable cloud platforms, automating complex infrastructure, and leading DevOps engineering for modern AI-powered applications, we'd love to hear from you.

Cloud Engineers – 2nd Shift – 4+ Years Experience

Required Qualifications:

• Strong experience in AWS infrastructure components and operational management (e.g., EC2, S3, VPC, IAM).
• Proficiency in IaC tools such as Terraform and/or CloudFormation.
• Solid scripting skills in Python, Bash, or equivalent for automation tasks.
• Experience with monitoring and logging tools (e.g., CloudWatch, Prometheus, ELK).
• Familiarity with network fundamentals: DNS, firewall rules, virtual networks.
• Strong troubleshooting mindset and experience resolving production-level issues.
• Excellent documentation and communication skills to maintain system knowledge and collaborate with teams.

Preferred Qualifications:

• AWS certifications (e.g., SysOps Administrator).
• Experience with containerization (Docker, Kubernetes/EKS/ECS).
• Exposure to CI/CD tooling like Terraform, DevOps, GitHub Actions, or any other DevOps tools.
• CI/CD pipeline, infra pipelines.
• AWS services like compute, network, storage, security.
• Migration experience like Discovery/Assessments, TA, Infra Design.

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

🚀 Hiring – AWS / Kubernetes / OpenShift Engineer

📍 Location: Bangalore

💼 Experience: 7–10 Years

⚡ Joining: Immediate Joiners Only

🔑 Required Skills

• Strong hands-on experience in AWS
• Expertise in Kubernetes & OpenShift
• Strong Linux Administration & Troubleshooting
• Experience in containerized environments and platform operations
• Production support, monitoring and incident troubleshooting
• Good understanding of cloud and infrastructure technologies

📌 Interview Process

2nd Round – Face-to-Face Interview in Bangalore

👉 Please share profiles of candidates who are available for a F2F interview in Bangalore.

#Hiring #AWS #Kubernetes #OpenShift #Linux #CloudEngineer #PlatformEngineer #DevOps #BangaloreJobs #ImmediateJoiners #WFO #ITJobs

Are you passionate about Linux, Docker, Kubernetes, and Cloud Infrastructure Support? Join a dynamic technology team where you’ll lead container infrastructure support, troubleshoot critical production issues, and drive operational excellence.

🔹 Key Responsibilities & Requirements

·7+ years’ experience in Linux, Kubernetes (AKS/EKS), AWS cloud, and Web server support experience including Docker & container experience

· Should have solid understanding of cloud architecture (AWS and Azure) and components & native services.

·Solid work experience on any incident management, problem management, change management tool

·Good experience in Load Balancing technology primarily distributed F5.

·Good experience in release management tools like Ansible and Github

· Procurement/conversion/renewal/application of SSL certificates in PFX, CRT, JKS formats etc.

· Knowledge of Web Hosting n-tier infrastructures, specifically Firewalls, hardware load-balancers, SSL offloading, etc.

·Strong verbal and written communication skills

·Strong delivery focus with ability to multi-task and work on various projects concurrently, meeting client expectations and deadlines

·Strong motivation and ability to work in a fast paced, team-oriented environment

·Well balanced technical, client service and client management skills   

·Sound experience in monitoring and observability tools such as Datadog

·Work on rotational shift and be on call providing global hours support, including weekends.

What you need to have:

Participate in providing 24X7 support in OSS2 supporting RHEL Linux and Docker/Containers infrastructure

Leading the technical docker team in the implementation and support of business applications that are hosted on Kubernetes (EKS and AKS).

Liaise with technical stakeholders such as architects and developers, in the infrastructure implementation and support. Developing and reviewing the technical operations standards and guidance.

Support operational excellence by identifying ongoing operational issues, root-cause analyses on outages and identifying the relevant remediation plans to strategically address them.

Willingness to work on weekends and on rotational shifts.

What makes you stand out?

Experience of any incident management and change management tool like ServiceNow.

Experience with Kubernetes (EKS and AKS), Github and Github actions.

Experience with APIGEE X or API Gateway is an advantage but not mandatory

Key Responsibilities

·       System Design: Design secure, scalable, and highly available multi-tenant cloud-based application architectures.

·       Integration Strategy: Build robust APIs, webhooks, and data pipelines for complex enterprise client connections.

·       Technical Guidance: Mentor software engineers and lead critical code and architecture reviews to ensure engineering excellence.

·       Performance & Security: Drive non-functional infrastructure needs including high uptime, strict data privacy compliance, and fast application response times.

·       Cross-Functional Collaboration: Partner closely with Product, Security, and Customer Success teams to align technical execution with business roadmaps.

Required Qualifications

·       Experience: 8+ years of experience in software engineering with at least 3+ years operating as a technical or solutions architect within a B2B SaaS environment.

·       Cloud & DevOps: Deep production knowledge of major cloud infrastructure (AWS, GCP, or Azure), containerization technologies (Docker, Kubernetes), and modern CI/CD automation pipelines.

·       Architecture Patterns: Proven expertise designing microservices, event-driven architectures, and high-performance relational and NoSQL database structures.

·       Communication: Strong written and verbal communication skills, with a proven ability to translate complex technical concepts clearly to both engineers and business stakeholders.

·       Education: Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical work experience).

Preferred Skills

·        Prior experience managing architectural frameworks for enterprise compliance frameworks like SOC2, ISO 27001, or GDPR.

·        Background in building real-time data processing engines, stream frameworks, or integrating enterprise AI/ML components.