Gujarat Computer vision engineer Jobs – 53 Open Jobs Today

Senior Cloud & Devops Architect
Zymr —Ahmedabad, Gujarat
- Full-time
- Azure
- Computer Science
- DevOps
AI/ML Engineer
Logicwind —Surat, Gujarat
- Computer Science
- Java
- Master's degree
- Paid time off
Quick apply
Senior Android App Developer
SSTech System Solutions —Gujarat
- Doctoral degree
- Java
- Master's degree
- Flexible schedule
Manual Quality Assurance Engineer, SIMBA Team - Ahmedabad, India
Speechify —Ahmedabad, Gujarat
- Full-time
- Remote
- Computer Science
- B.Sc
- Project management
Senior AI Engineer
Webential Technologies Pvt Ltd —Unknown, Gujarat
- Full-time
- Azure
- Doctoral degree
- Computer Science
Quick apply
Full-Stack Developer
Silicion Bits Private Limited —Ahmedabad, Gujarat
- Full-time
- DevOps
- Databases
- SQL
Quick apply
9d
Quality Assurance Engineer- (2-3 Years Exp)
Vision Infotech —Surat, Gujarat
- Computer Science
- B.Sc
- Engineering
3d
Senior AI Developer
WebOsmotic —Adajan, Surat, Gujarat
- Full-time
- Azure
- Computer Science
- Master's degree
Lead Engineer
Accumn —Ahmedabad, Gujarat
- Full-time
- Azure
- Computer Science
- DevOps

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Senior Cloud & Devops Architect

Zymr
Ahmedabad, Gujarat

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Job details

Full-time

Qualifications

BCS
CI/CD
Elasticsearch
Cloud infrastructure
Azure
Go
Cloud architecture
Node.js
Computer Science
Kubernetes
Ansible
Full-stack development
DevOps
Disaster recovery
Git
Google Cloud Platform
Master's degree
Bash (Unix shell)
RBAC
AWS
Bachelor's degree
NIST standards
Terraform
Continuous integration
Azure Certification
Scripting
DNS
AI
Communication skills
Python
AWS Certified DevOps Engineer – Professional
High availability
AWS Certified Solutions Architect – Professional

Full job description

We are seeking a seasoned Cloud Platform Architect with deep DevOps engineering roots to lead the design, delivery, and governance of enterprise-grade cloud platforms across AWS, Azure, and GCP. This is a strategic and hands-on role—you will set the architectural vision, own cross-cloud standards, and guide engineering teams through end-to-end platform implementation. You bring a developer's instinct and an operator's discipline, enabling organisations to move fast without compromising security, reliability, or cost efficiency.

Job Title: Senior Cloud & Devops Architect

Experience: 10+ Years

Location: Pune/Ahmedabad

Educational Qualification: Bachelor’s degree in computer science, Engineering, or related field

Key Responsibilities

Design and deliver multi-cloud platforms across AWS, Azure, and GCP, covering compute, networking, storage, identity, and managed services.
Define cloud landing zone strategies, governance frameworks, and account/subscription structures aligned to organisational policies.
Drive IaC adoption using Terraform, Ansible, or cloud-native tools (CloudFormation / ARM Templates / Deployment Manager / AWS CDK) at enterprise scale.
Architect and deliver Kubernetes platforms (EKS, AKS, GKE), including cluster lifecycle, multi-tenancy, RBAC, and node pool strategies.
Design and govern CI/CD pipeline frameworks supporting trunk-based development, canary, and blue-green deployment strategies.
Define Helm chart standards for application packaging, versioning, and multi-environment promotion across Kubernetes clusters.
Implement GitOps workflows using Argo CD and establish internal developer platforms (IDPs) and self-service infrastructure capabilities.
Champion GitDevSecOps—embedding security gates, SAST/DAST, container scanning, SBOM generation, and Policy as Code (OPA/Conftest) into delivery pipelines.
Own secret management and ensure compliance with CIS, NIST, and SOC 2 cloud security benchmarks.
Implement service mesh solutions (Istio) for traffic management, mTLS, observability, and fault injection.
Design cloud networking covering VPC/VNet, transit gateways, WAF, DNS, private connectivity, and zero-trust access models.
Lead architecture reviews, contribute to ADRs and RFCs, and act as a trusted advisor to engineering and executive leadership.
Define FinOps strategies, including reserved instances, rightsizing, Spot workloads, and cost visibility tooling.
Drive scalability and reliability design — auto-scaling, elastic architectures, capacity planning, and chaos engineering practices.
Design and implement a full-stack observability platform using Grafana and the Elastic Stack (Elasticsearch, Logstash, Kibana).
Define and standardize the collection of metrics, logs, and traces across multi-cloud Kubernetes platforms (EKS, AKS, and GKE).
Mentor senior and mid-level engineers and foster a culture of engineering excellence and blameless post-mortems.

Required Skills:

Strong hands-on expertise across all three major cloud platforms: AWS, Microsoft Azure, and Google Cloud Platform (GCP).
Deep experience with Infrastructure as Code using Terraform (modules, state management, workspaces) and at least one cloud-native IaC tool.
Solid understanding of Kubernetes architecture and operations, including Helm chart authoring, lifecycle management, and multi-cluster patterns.
Practical experience designing and operating service mesh solutions (Istio, Linkerd, or equivalent).
Strong cloud networking knowledge, including VPC/VNet design, transit architectures, private connectivity, and zero-trust models.
Hands-on experience building and maintaining a full observability stack using open-source and/or commercial tooling.
Strong understanding of Git, DevSecOps principles, and the ability to embed security into platform and delivery pipelines.
Experience implementing GitOps practices using Argo CD or similar tools.
Scripting and automation proficiency in Python, Go, Bash, or similar.
Proven experience designing for scale, high availability, and disaster recovery across cloud environments.
Strong FinOps awareness—ability to architect for cost visibility, accountability, and optimization.

Good to Have:

Exposure to cloud-native data platforms, streaming architectures, or AI/ML infrastructure.
Experience with multi-region or active-active architecture patterns.

Certifications (Preferred):

AWS Certified Solutions Architect – Professional
AWS Certified DevOps Engineer – Professional
Microsoft Certified: Azure Solutions Architect Expert
Microsoft Certified: Azure DevOps Engineer Expert
Google Cloud Professional Cloud Architect
Google Cloud Professional DevOps Engineer
Certified Kubernetes Administrator (CKA)
Certified Kubernetes Security Specialist (CKS)
HashiCorp Certified: Terraform Associate or Professional

Preferred Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, or an equivalent combination of practical experience.
10+ years in cloud infrastructure and DevOps roles, with at least 3 years in an architect-level or principal engineer position.
Proven track record of delivering multi-cloud platform programs for mid-to-large enterprises.
Experience building platform engineering practices or internal developer platforms from the ground up.
Strong written and verbal communication skills — able to produce clear architectural diagrams, ADRs, and executive-level presentations.
Ability to operate effectively at both strategic and hands-on levels depending on organizational need.

Apply Now

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computer vision engineer jobs in gujarat

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