DevOps and Cloud Infrastructure Engineer
- e Solutions India
- 3 - 8 years
- Bengaluru
- 5 months ago
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Job Description
Multiple Opening for DevOps and Cloud Infrastructure Engineer
(kindly do not change the subject line while you are applying )
DevOps Engineer
job location ---Noida sec-62
We are looking for a DevOps Engineer to lead CI/CD automation, cloud deployments, and
infrastructure modernization. This role will focus on migrating repositories to GitHub,
building scalable pipelines, enabling multi-cloud and GitOps practices, and driving
automation across development and operations.
What Youll Do
- Lead migration from Perforce GitHub and modularize monorepos.
- Design and manage CI/CD pipelines with GitHub Actions for Java, Python, Node.js
apps.
- Implement secure, automated workflows integrating testing, monitoring, and
security.
- Drive containerization, IaC (Terraform/Ansible), and multi-cloud deployments.
- Optimize pipeline performance for scalability, speed, and reliability.
What Youll Bring
- 3+ years in DevOps/Build Engineering.
- Mandatory: Strong in Python (automation, scripting) and AWS (EKS, ECS, Lambda,
CodePipeline).
- Proficient in REST APIs, Git, and scripting (Bash, etc.).
- Hands-on with GitHub Actions, Docker, Kubernetes, and IaC (Terraform/Ansible).
- Proven experience migrating version control (Perforce GitHub/GitLab).
Future-Ready Skills (Preferred)
- Multi-cloud deployments (AWS, Azure, GCP).
- GitOps (ArgoCD/Flux) & SaaS automation for DevOps.
- MLOps pipelines for model deployment & monitoring.
- Data migration across hybrid/multi-cloud setups.
Who You Are
- Strong communicator and collaborator with cross-functional teams.
- Passionate about automation, scalability, and DevOps excellence.
- Able to mentor and guide engineers on best practices.
==============================================================
Mid-level DevOps and Cloud Infrastructure Engineer
Shift starts at 9 pm IST Location: Pune, Gurgaon, Bangalore, mumbai
Night shift- work from office
Senior Cloud & ML Infrastructure Engineer
Experience: 6-10 Years
About the Role:
Were looking for a Senior Cloud & ML Infrastructure Engineer to lead the design,
scaling, and optimization of cloud-native machine learning infrastructure. This role is ideal for
someone passionate about solving complex platform engineering challenges across AWS, with
a focus on model orchestration, deployment automation, and production-grade reliability. Youll
architect ML systems at scale, provide guidance on infrastructure best practices, and work
cross-functionally to bridge DevOps, ML, and backend teams.
Key Responsibilities:
Architect and manage end-to-end ML infrastructure using SageMaker, AWS Step
Functions, Lambda, and ECR
Design and implement multi-region, highly-available AWS solutions for real-time
inference and batch processing
Create and manage IaC blueprints for reproducible infrastructure using AWS CDK
Establish CI/CD practices for ML model packaging, validation, and drift monitoring
Oversee infrastructure security, including IAM policies, encryption at rest/in-transit, and
compliance standards
Monitor and optimize compute/storage cost, ensuring efficient resource usage at scale
Collaborate on data lake and analytics integration
Serve as a technical mentor and guide AWS adoption patterns across engineering
teams
Required Skills:
6+ years designing and deploying cloud infrastructure on AWS at scale
Proven experience building and maintaining ML pipelines with services like SageMaker,
ECS/EKS, or custom Docker pipelines
Strong knowledge of networking, IAM, VPCs, and security best practices in AWS
Deep experience with automation frameworks, IaC tools, and CI/CD strategies
Advanced scripting proficiency in Python, Go, or Bash
Familiarity with observability stacks (CloudWatch, Prometheus, Grafana)
Nice to Have:
Background in robotics infrastructure, including AWS IoT Core, Greengrass, or OTA
deployments
Experience designing systems for physical robot fleet telemetry, diagnostics, and control
Familiarity with multi-stage production environments and robotic software rollout
processes
Competence in frontend hosting for dashboard or API visualization
Involvement with real-time streaming, MQTT, or edge inference workflows
- Hands-on experience with ROS 2 (Robot Operating System) or similar robotics
frameworks, including launch file management, sensor data pipelines, and deployment
to embedded Linux devices
Interested candidate kindly Apply on Hr*4@es************a.net with updated resume and answer of the mandatory question .
Mandatory: Answer following questions:
1. Current CTC:*
2. Expected CTC:*
3. Current Location:*
4. Notice Period:*
5. Total Experience in Devops :*
7. Total Experience in Cloud Infrastructure r :*
8. Total Experience in ML Infrastructure :*
9. Total Experience in CI/CD automation:*
10. Total Experience in Python and AWS:*
11. Total Experience in Docker, Kubernetes, and IaC (Terraform/Ansible):*.
12. Last Qualification:*
13. Preferred Location :* Noida , Pune, Gurgaon, Bangalore, Mumbai ..??*..
14. Availability for Face to Face interview (Yes /NO):*
Thanks & Regards
Deepti
8383946***
Hr*4@es************a.net
Esolutions India
www.esolutionsindia.net
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: DevOpsRole: DevOps EngineerEmployement Type: Full timeContact Details:
Company: e Solutions IndiaLocation(s): Bengaluru
Keyskills: Devops cloud AWS MQTT Robot Operating System GitHub Prometheus networking IaC CodePipeline Machine Learning Grafana Terraform Docker Infrastructure Lambda GitLab Python ML Java Azure Flux Node.js EKS restapi SageMaker Jenkins MLOps ECS IAM GCP CloudWatch ROS CI/CD ArgoCD
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