Cloud Infrastructure Engineer

Key responsibilities

• Design, build, and maintain robust CI/CD pipelines using Azure DevOps Services (Azure Pipelines) and Git-based workflows.

• Implement and manage infrastructure as code (IaC) using ARM templates, Bicep, and/or Terraform for repeatable environment provisioning.

• Containerize applications (Docker) and manage container orchestration platforms such as AKS (Azure Kubernetes Service).

• Automate build, test, release, and rollback processes; integrate automated testing and quality gates into pipelines.

• Monitor and improve platform reliability and observability using logging and monitoring tools (e.g., Azure Monitor, Application Insights, Prometheus, Grafana).

• Drive platform security and compliance through pipeline controls, secrets management (Key Vault / Vault), and secure configuration practices.

• Implement cost-optimization and governance for Azure resources (tags, policies, budgets).

• Troubleshoot build/release failures, production incidents, and performance bottlenecks; perform root-cause analysis and implement permanent fixes.

• Mentor developers in Git workflows, pipeline authoring, best practices for IaC, and cloud-native design.

• Maintain clear documentation: runbooks, deployment playbooks, architecture diagrams, and pipeline templates. 

Required skills & experience

• 5+ years hands-on experience working with Azure and cloud-native application delivery.

• Deep experience with Azure DevOps (Repos, Pipelines, Artifacts, Boards).

• Strong IaC skills with Terraform, ARM templates, or Bicep.

• Solid experience with CI/CD design and YAML pipeline authoring.

• Practical knowledge of containerization (Docker) and Kubernetes — preferably AKS.

• Scripting skills: PowerShell, Bash, and/or Python for automation.

• Experience with Git workflows (branching strategies, PRs, code reviews).

• Familiarity with configuration management and secrets management (Azure Key Vault, HashiCorp Vault).

• Understanding of networking, identity (Azure AD), and security fundamentals in Azure.

• Strong troubleshooting, debugging, and incident response skills.

• Good collaboration and communication skills; ability to work across teams.

Certification

AZ-400: Microsoft Certified: DevOps Engineer Expert or AZ-104 or AZ 305 or Terraform Associate.

Job Title : DevOps Engineer

Experience : 3+ Years

Location : Indiranagar, Bengaluru (Work From Office – 5 Days)

Employment Type : Full-Time

Work Timings : 11:00 AM to 7:00 PM IST

Notice Period : Immediate Joiners Preferred

Role Overview :

We are seeking a skilled DevOps Engineer with 3+ years of experience in building and managing scalable cloud-native infrastructure.

The ideal candidate will have strong expertise in Kubernetes and Helm, along with hands-on experience in deploying and maintaining production-grade systems on cloud platforms.

This role offers an opportunity to work in a high-growth startup environment, contributing to both existing systems and new infrastructure development.

Key Responsibilities :

• Design, deploy, and manage scalable infrastructure using Kubernetes.
• Build and maintain CI/CD pipelines for efficient and automated deployments.
• Manage and optimize cloud environments (preferably GCP).
• Implement Infrastructure as Code using Helm/Terraform.
• Monitor system performance and ensure high availability and reliability.
• Handle bug fixes, system improvements, and performance optimization.
• Collaborate with engineering teams to design scalable microservices architecture.
• Implement logging, monitoring, and alerting solutions.
• Ensure security best practices including IAM, secrets management, and network policies.

Mandatory Skills :

• Strong hands-on experience with Kubernetes.
• Expertise in Helm Charts.
• Experience with Google Cloud Platform (GCP).
• Hands-on experience with ArgoCD or similar CI/CD tools.
• Knowledge of CI/CD tools like Jenkins, GitHub Actions, GitLab CI.
• Experience in database hosting and scaling.

Nice to Have :

• Exposure to other cloud platforms (AWS/Azure).
• Experience with modern DevOps and automation tools.
• Ability to quickly learn and adapt to new technologies.

Team & Work Scope :

• No dedicated DevOps team currently – high ownership role.
• Work on both existing systems (maintenance & improvements) and new system builds (greenfield projects).
• Opportunity to shape DevOps practices and infrastructure from scratch.

Preferred Candidate Profile :

• 3+ years of relevant DevOps experience.
• Strong problem-solving and debugging skills.
• Experience working in fast-paced startup environments.
• Understanding of scalability, security, and performance optimization.
• Good communication and collaboration skills.

Hiring Process :

1. Profile Screening
2. GT Assessment
3. Technical Interview – Round 1
4. Technical Interview – Round 2
5. Final Round (if required with US team)

ROLE & RESPONSIBILITIES:

We are hiring a Senior DevSecOps / Security Engineer with 8+ years of experience securing AWS cloud, on-prem infrastructure, DevOps platforms, MLOps environments, CI/CD pipelines, container orchestration, and data/ML platforms. This role is responsible for creating and maintaining a unified security posture across all systems used by DevOps and MLOps teams — including AWS, Kubernetes, EMR, MWAA, Spark, Docker, GitOps, observability tools, and network infrastructure.

KEY RESPONSIBILITIES:

1.     Cloud Security (AWS)-

• Secure all AWS resources consumed by DevOps/MLOps/Data Science: EC2, EKS, ECS, EMR, MWAA, S3, RDS, Redshift, Lambda, CloudFront, Glue, Athena, Kinesis, Transit Gateway, VPC Peering.
• Implement IAM least privilege, SCPs, KMS, Secrets Manager, SSO & identity governance.
• Configure AWS-native security: WAF, Shield, GuardDuty, Inspector, Macie, CloudTrail, Config, Security Hub.
• Harden VPC architecture, subnets, routing, SG/NACLs, multi-account environments.
• Ensure encryption of data at rest/in transit across all cloud services.

2.     DevOps Security (IaC, CI/CD, Kubernetes, Linux)-

Infrastructure as Code & Automation Security:

• Secure Terraform, CloudFormation, Ansible with policy-as-code (OPA, Checkov, tfsec).
• Enforce misconfiguration scanning and automated remediation.

CI/CD Security:

• Secure Jenkins, GitHub, GitLab pipelines with SAST, DAST, SCA, secrets scanning, image scanning.
• Implement secure build, artifact signing, and deployment workflows.

Containers & Kubernetes:

• Harden Docker images, private registries, runtime policies.
• Enforce EKS security: RBAC, IRSA, PSP/PSS, network policies, runtime monitoring.
• Apply CIS Benchmarks for Kubernetes and Linux.

Monitoring & Reliability:

• Secure observability stack: Grafana, CloudWatch, logging, alerting, anomaly detection.
• Ensure audit logging across cloud/platform layers.

3.     MLOps Security (Airflow, EMR, Spark, Data Platforms, ML Pipelines)-

Pipeline & Workflow Security:

• Secure Airflow/MWAA connections, secrets, DAGs, execution environments.
• Harden EMR, Spark jobs, Glue jobs, IAM roles, S3 buckets, encryption, and access policies.

ML Platform Security:

• Secure Jupyter/JupyterHub environments, containerized ML workspaces, and experiment tracking systems.
• Control model access, artifact protection, model registry security, and ML metadata integrity.

Data Security:

• Secure ETL/ML data flows across S3, Redshift, RDS, Glue, Kinesis.
• Enforce data versioning security, lineage tracking, PII protection, and access governance.

ML Observability:

• Implement drift detection (data drift/model drift), feature monitoring, audit logging.
• Integrate ML monitoring with Grafana/Prometheus/CloudWatch.

4.     Network & Endpoint Security-

• Manage firewall policies, VPN, IDS/IPS, endpoint protection, secure LAN/WAN, Zero Trust principles.
• Conduct vulnerability assessments, penetration test coordination, and network segmentation.
• Secure remote workforce connectivity and internal office networks.

5.     Threat Detection, Incident Response & Compliance-

• Centralize log management (CloudWatch, OpenSearch/ELK, SIEM).
• Build security alerts, automated threat detection, and incident workflows.
• Lead incident containment, forensics, RCA, and remediation.
• Ensure compliance with ISO 27001, SOC 2, GDPR, HIPAA (as applicable).
• Maintain security policies, procedures, RRPs (Runbooks), and audits.

IDEAL CANDIDATE:

• 8+ years in DevSecOps, Cloud Security, Platform Security, or equivalent.
• Proven ability securing AWS cloud ecosystems (IAM, EKS, EMR, MWAA, VPC, WAF, GuardDuty, KMS, Inspector, Macie).
• Strong hands-on experience with Docker, Kubernetes (EKS), CI/CD tools, and Infrastructure-as-Code.
• Experience securing ML platforms, data pipelines, and MLOps systems (Airflow/MWAA, Spark/EMR).
• Strong Linux security (CIS hardening, auditing, intrusion detection).
• Proficiency in Python, Bash, and automation/scripting.
• Excellent knowledge of SIEM, observability, threat detection, monitoring systems.
• Understanding of microservices, API security, serverless security.
• Strong understanding of vulnerability management, penetration testing practices, and remediation plans.

EDUCATION:

• Master’s degree in Cybersecurity, Computer Science, Information Technology, or related field.
• Relevant certifications (AWS Security Specialty, CISSP, CEH, CKA/CKS) are a plus.

PERKS, BENEFITS AND WORK CULTURE:

• Competitive Salary Package
• Generous Leave Policy
• Flexible Working Hours
• Performance-Based Bonuses
• Health Care Benefits

JOB DETAILS:

- Job Title: Lead DevOps Engineer

- Industry: Ride-hailing

- Experience: 6-9 years

- Working Days: 5 days/week

- Work Mode: ONSITE

- Job Location: Bangalore

- CTC Range: Best in Industry

Required Skills: Cloud & Infrastructure Operations, Kubernetes & Container Orchestration, Monitoring, Reliability & Observability, Proficiency with Terraform, Ansible etc., Strong problem-solving skills with scripting (Python/Go/Shell)

Criteria:

1.   Candidate must be from a product-based or scalable app-based start-ups company with experience handling large-scale production traffic.

2.   Minimum 6 yrs of experience working as a DevOps/Infrastructure Consultant

3.   Candidate must have 2 years of experience as an lead (handling team of 3 to 4 members at least)

4.   Own end-to-end infrastructure right from non-prod to prod environment including self-managed

5.   Candidate must have Self experience in database migration from scratch 

6.   Must have a firm hold on the container orchestration tool Kubernetes

7.   Should have expertise in configuration management tools like Ansible, Terraform, Chef / Puppet

8.   Understanding programming languages like GO/Python, and Java

9.   Working on databases like Mongo/Redis/Cassandra/Elasticsearch/Kafka.

10.   Working experience on Cloud platform -AWS

11. Candidate should have Minimum 1.5 years stability per organization, and a clear reason for relocation.

Description

Job Summary:

As a DevOps Engineer at company, you will be working on building and operating infrastructure at scale, designing and implementing a variety of tools to enable product teams to build and deploy their services independently, improving observability across the board, and designing for security, resiliency, availability, and stability. If the prospect of ensuring system reliability at scale and exploring cutting-edge technology to solve problems, excites you, then this is your fit.

Job Responsibilities:

● Own end-to-end infrastructure right from non-prod to prod environment including self-managed DBs

● Codify our infrastructure

● Do what it takes to keep the uptime above 99.99%

● Understand the bigger picture and sail through the ambiguities

● Scale technology considering cost and observability and manage end-to-end processes

● Understand DevOps philosophy and evangelize the principles across the organization

● Strong communication and collaboration skills to break down the silos

Job Requirements:

● B.Tech. / B.E. degree in Computer Science or equivalent software engineering degree/experience

● Minimum 6 yrs of experience working as a DevOps/Infrastructure Consultant

● Must have a firm hold on the container orchestration tool Kubernetes

● Must have expertise in configuration management tools like Ansible, Terraform, Chef / Puppet

● Strong problem-solving skills, and ability to write scripts using any scripting language

● Understanding programming languages like GO/Python, and Java

● Comfortable working on databases like Mongo/Redis/Cassandra/Elasticsearch/Kafka.

What’s there for you?

Company’s team handles everything – infra, tooling, and self-manages a bunch of databases, such as

● 150+ microservices with event-driven architecture across different tech stacks Golang/ java/ node

● More than 100,000 Request per second on our edge gateways

● ~20,000 events per second on self-managed Kafka

● 100s of TB of data on self-managed databases

● 100s of real-time continuous deployment to production

● Self-managed infra supporting

● 100% OSS

We're Hiring: DevOps Tech Lead with 7-9 Years of Experience! 🚀

Are you a seasoned DevOps professional with a passion for cloud technologies and automation? We have an exciting opportunity for a DevOps Tech Lead to join our dynamic team at our Gurgaon office.

🏢 ZoomOps Technolgy Solutions Private Limited

📍 Location: Gurgaon

💼 Full-time position

🔧 Key Skills & Requirements:

✔ 7-9 years of hands-on experience in DevOps roles

✔ Proficiency in Cloud Platforms like AWS, GCP, and Azure

✔ Strong background in Solution Architecture

✔ Expertise in writing Automation Scripts using Python and Bash

✔ Ability to manage IAC tools and CM tools like Terraform, Ansible, pulumi etc..

Responsibilities:

🔹 Lead and mentor the DevOps team, driving innovation and best practices

🔹 Design and implement robust CI/CD pipelines for seamless software delivery

🔹 Architect and optimize cloud infrastructure for scalability and efficiency

🔹 Automate manual processes to enhance system reliability and performance

🔹 Collaborate with cross-functional teams to drive continuous improvement

Join us to work on exciting projects and make a significant impact in the tech space!

Apply now and take the next step in your DevOps career!

1. Develop and Deploy Software:
1. Architect and create an effective build and release process using industry best practices and tools
2. Create and manage build scripts to deploy software in a multi-cloud environment
3. Look for opportunities to automate as much of the deployment process as possible to provide for repeatability, auditability, scalability and build in process enforcement
2. Manage Release Schedule:
1. Act as a “gate keeper” for all releases into production
2. Work closely with business stakeholders, development managers and developers to prepare a release schedule
3. Help prioritize deployment requests for version upgrades, patches and hot-fixes
3. Continuous Delivery of Software:
1. Implement Continuous Integration (CI) practices to drive development teams to implement smaller changes and commit code to the version control repo frequently
2. Implement Continuous Development (CD) practices that automates deployment of the application to several environments – Dev, Test and Production
3. Implement Continuous Testing (functional and non-functional) to execute tests in the CI/CD pipeline
4. Manage Version Control:
1. Define and implement branching policies to efficiently manage source-code
2. Implement business rules as a part of source control standards
5. Resolve Software Issues:
1. Assist technical support and development teams to troubleshoot issues and identify areas that need improvement
2. Address deployment related issues
6. Maintain Release Documentation:
1. Maintain release notes (features available in stable versions and known issues) and other documents for both internal and external end users

Role : SRE

Experience : 4 - 8 Years

• Experience in building, deploying and operating cloud solutions on Kubernetes
• Strong expertise administrating and scaling Kubernetes on bare metal and CKA preferred
• Expertise on K8s Interfaces CNI, CSI, CRI and Service meshe
• Hands-on experience as a DevOps or Automation development
• Demonstrable knowledge of TCP/IP, Linux operating system internals, filesystems, disk/storage technologies and storage protocols.
• Experience working with Helm Charts and building out Infrastructure As Code (IaC)
• Experience in writing software to automate orchestration tasks at scale; we commonly use Python, Go, and Shell scripting
• Knowledge of systems (Linux, GNU tooling), networking (OSI model, DNS, routing) and virtualization vs containerization
• Expertise in CI/CD tooling for cloud-based applications specifically Terraform / CloudFormation, Jenkins and Git
• Architected CNF Orchestration with Kubernetes
• Strong understanding of the principles of 12-factor apps and modern containerized microservices
• Plan for reliability by designing systems to work across our multi-region and multi-cloud environments
• Experience developing and using Application & Integration stacks/tools such as Kafka, Spring Cloud, Apache Camel, Kubernetes, Docker, Redis, Knative, and NoSQL

Job description

The role requires you to design development pipelines from the ground up, Creation of Docker Files,  design and operate highly available systems in AWS Cloud environments. Also involves Configuration Management, Web Services Architectures, DevOps Implementation, Database management, Backups, and Monitoring.

Key responsibility area
- Ensure reliable operation of CI/CD pipelines
- Orchestrate the provisioning, load balancing, configuration, monitoring and billing of resources in the cloud environment in a highly automated manner
- Logging, metrics and alerting management.
- Creation of Bash/Python scripts for automation
- Performing root cause analysis for production errors.Requirement
- Proficient in Linux Commands line and troubleshooting.
- Proficient in AWS Services. Deployment, Monitoring and troubleshooting applications in AWS.
- Hands-on experience with CI tooling preferably with Jenkins. 
- Proficient in deployment using Ansible.
- Knowledge of infrastructure management tools (Infrastructure as cloud) such as terraform, AWS cloudformation etc.
- Proficient in deployment of applications behind load balancers and proxy servers such as nginx, apache. 
- Scripting languages: Bash, Python, Groovy.
- Experience with Logging, Monitoring, and Alerting tools like ELK(Elastic-search, Logstash, Kibana), Nagios. Graylog, splunk Prometheus, Grafana is a plus.

Must Have:
Linux, CI/CD(Jenkin), AWS, Scripting(Bash,shell Python, Go), Ngnix, Docker.

Good to have
Configuration Management(Ansible or similar tool), Logging tool( ELK or similar), Monitoring tool(Ngios or similar), IaC(Terraform, cloudformation).