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DevOps Engineer Azure
A Top level 5 Services Company
A Top level 5 Services Company's logo

DevOps Engineer Azure

at A Top level 5 Services Company

3 - 7 yrs
₹3L - ₹20L / yr
Bengaluru (Bangalore)
Skills
DevOps
Windows Azure
Linux/Unix
Microsoft Windows Azure
SQL Azure
Terraform
skill iconDocker
skill icon.NET
skill iconReact.js
Pipeline management
  • 4+ years of experience in IT and infrastructure

  • 2+ years of experience in Azure Devops

  • Experience with Azure DevOps using both as CI / CD tool and Agile framework

  • Practical experience building and maintaining automated operational infrastructure

  • Experience in building React or Angular applications, .NET is must.

  • Practical experience using version control systems with Azure Repo

  • Developed and maintained scripts using Power Shell, ARM templates/ Terraform scripts for Infrastructure as a Code.

  • Experience in Linux shell scripting (Ubuntu) is must

  • Hands on experience with release automation, configuration and debugging.

  • Should have good knowledge of branching and merging

  • Integration of tools like static code analysis tools like SonarCube and Snky or static code analyser tools is a must.

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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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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
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Job Summary:

We are looking for a highly skilled and experienced DevOps Engineer who will be responsible for the deployment, configuration, and troubleshooting of various infrastructure and application environments. The candidate must have a proficient understanding of CI/CD pipelines, container orchestration, and cloud services, with experience in AWS services like EKS, EC2, ECS, EBS, ELB, S3, Route 53, RDS, ALB, etc., in a highly available and scalable production environment. The DevOps Engineer will be responsible for monitoring, automation, troubleshooting, security, user management, reporting, migrations, upgrades, disaster recovery, and infrastructure restoration, among other tasks. They will also work with application teams on infrastructure design and issues, and architect solutions to optimally meet business needs.


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  • Expertise with observability tools like ELK, Prometheus, Grafana , Loki


Qualifications:

  • Proficient understanding of CI/CD pipelines, container orchestration, and various cloud services
  • Experience with AWS services like EC2, ECS, EBS, ELB, S3, Route 53, RDS, ALB, etc.
  • Experience in monitoring, automation, troubleshooting, security, user management, reporting, migrations, upgrades, disaster recovery, and infrastructure restoration
  • Experience in architecting solutions that optimally meet business needs
  • Experience with scripting languages (e.g., Shell, Python) and infrastructure as code (IaC) tools (e.g., Terraform, CloudFormation)
  • Strong understanding of system concepts like high availability, scalability, and redundancy
  • Ability to work with application teams on infrastructure design and issues
  • Excellent problem-solving and troubleshooting skills
  • Experience with automation of routine tasks
  • Good communication and interpersonal skills


Education and Experience:

  • Bachelor's degree in Computer Science or a related field
  • 5 to 10 years of experience as a DevOps Engineer or in a related role
  • Experience with observability tools like ELK, Prometheus, Grafana


Working Conditions:

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Note: This is a remote role. The team member is expected to be in the Bangalore office for one week each quarter.

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Ashnik is looking for experienced technology consultant to work in DevOps team in pre-sales function. The primary area of focus will be Microservices, CI/CD pipeline, Docker, Kubernetes, containerization and container security. A person in this role will be responsible for leading technical discussions with customers and partners and helping them arrive at final solution.

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WHAT IS IN IT FOR YOU?

You would be adding a great experience of working with a leading open source solutions company in South East Asia region to your career. You would get to learn from the leaders and grow in the industry. This would be a great opportunity for you to grow in your career through continuous learning, adding depth and breadth of technologies. Since we work with leading open source technologies and engage with large enterprises, it creates enormous possibilities for career growth for our team. Not to mention that our people find the journey with Ashnik to be exciting and a fulfilling experience.

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We are hiring for https://www.linkedin.com/feed/hashtag/?keywords=devops&;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7003255016740294656" target="_blank">#Devops Engineer for a reputed https://www.linkedin.com/feed/hashtag/?keywords=mnc&;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7003255016740294656" target="_blank">#MNC

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Pune.

 

Job Description:

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About Artivatic :- Artivatic is technology startup that uses AI/ML/Deeplearning to build intelligent products & solutions for finance, healthcare & insurance businesses. It is based out of Bangalore with 20+ team focus on technology. Artivatic building is cutting edge solutions to enable 750 Millions plus people to get insurance, financial access and health benefits with alternative data sources to increase their productivity, efficiency, automation power and profitability, hence improving their way of doing business more intelligently & seamlessly. - Artivatic offers lending underwriting, credit/insurance underwriting, fraud, prediction, personalization, recommendation, risk profiling, consumer profiling intelligence, KYC Automation & Compliance, automated decisions, monitoring, claims processing, sentiment/psychology behaviour, auto insurance claims, travel insurance, disease prediction for insurance and more. - We have raised US $300K earlier and built products successfully and also done few PoCs successfully with some top enterprises in Insurance, Banking & Health sector. Currently, 4 months away from generating continuous revenue.- We are looking for a Senor DevOps Engineer to support AWS /Google/Azure/Digital Ocean /Internal ops infrastructure. - In this role, you are expected to play a key role in building the continuous deployment model and enable high quality rapid delivery of Cloud, Device, Mobility, Web and Desktop applications for our flagship platform, Artivatic.Responsibilities :- Design, implement, and maintain ops infrastructure for Artivatic to ensure high availability of environment and services all the time.- Provide a robust continuous delivery pipeline that enables engineering team to deliver features to customers efficiently.Skills Requirements :- 3-8 years of experience in building/maintaining infrastructures primarily on AWS/Google/Azure/Internal environment for Cloud. Mobility, Web and Desktop applications. Background in Linux/Unix Administration.- Demonstrated depth of experience in communicating with internal groups, including Product Management and Operations.- Proven ownership and delivery of a sizable product or product component, strong sense of independence and self-direction is essential.- Availability for travel and flexible work hours to work with teams across time zonesTechnical Competencies :- 3-8 Years of Experience providing DevOps support to Desktop, Cloud, Mobility and Web Based SaaS based solution with continuous deployment model- Deep knowledge of CI (Continuous Integration) and CD (Continuous Deployment) methodologies with Continuous Integration Servers such as Jenkins- Experience in Virtualization, Disaster Recovery, Backup and Security Processes. Experience with automation/ configuration management using either Puppet, Chef or an equivalent- Ability to use a wide variety of open source technologies and cloud services (experience with AWS is required, Azure and Google Cloud is good to have). Knowledge of best practices and IT operations in an always-up, always-available service- Experience with monitoring tools such as Sensu, Newrelic etc.- Strong experience with Cassandra, REST API, SQL, MySQL and NoSQL.- Experience with container based deployments e.g. Docker- A working understanding of code and script (Java, C++, Scala, PHP, Python, Perl and/or Ruby)- Jenkins, ant, maven or make tools with build, packaging, branching, continuous integration background- Maintenance of automated tooling code in shell, python or similar scripting language- Strong familiarity with JIRA, SCM/GIT including branching and merging strategiesQualifications : Bachelors or Master's degree in Computer Science or related field.
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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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