343 Devops Engineer jobs in Hyderabad

Designation : DevOps Engineer/Lead DevOps Engineer

Experience : 8-15 years

Location: Remote

Summary

Work with talented DevOps and Cloud operations engineers and architects to deliver Sycamore SaaS product offerings to our Bio-Pharma customers using exciting, cutting-edge technologies. Develop, execute, maintain, and improve procedures, automation scripts, and infrastructure implementations to support Sycamore SaaS Operations.

Roles and Responsibility

Specific roles and responsibilities include:

• Provide technical expertise and leadership when needed to SaaS Operations Production Operations teams.
• Help Implement the Cloud Operations team's goals and deliverables as determined by Sycamore Leadership
• Ensure smooth operations of Sycamore SaaS products
• Take Complete ownership of Customer Implementations, including SLA and SLO.
• Automate, enhance and maintain critical processes in Cloud Operations, such as Change Control, Monitoring & Alerting
• Drive critical processes in SaaS Operations such as Change Control, Problem & Incident Management, and Reporting, as well as key tools for Monitoring & Alerting
• Drive Disaster Recovery and failover procedures, training, testing, and team readiness
• Coordinate focus groups across all teams on process improvements and technical improvements that lead to better stability and reliability
• Contribute to process improvements and technical improvements that lead to increased stability and reliability
• Support continuous improvements in SaaS Operations by
• developing platform services and tooling for modern cloud operations, including metrics monitoring, CI/CD pipelines, etc.
• improving automation of provisioning, deployment, monitoring, alerting, and escalation
• Support Secure operations by
• implementing best-in-class recommendations for secure operations
• Carry out ongoing Production Ops activities with precision and quality
• Define, build, and deliver a high-quality SaaS Platform for Work with third-party vendors and partners to help develop a complete solution set on the SaaS platform
• Representing Cloud Operations in InfoSec meetings and developing and driving secure procedures
• Help obtain and maintain various certifications
• Being a good team player & a leader when needed for a high-performance Cloud/SaaS delivery team by
• Reviewing personal/team performance, quality reviews,
• Manage operations and operational issues.
• Establish a culture of high performance, ownership, delivery focus, and continuous improvement.

Excellence in Operations

• Implement and carry out procedures and policies to ensure high-quality SaaS operations with appropriate levels of management controls.
• Act as an internal contact for platform services issues for a customer
• Work with cross-functional departments: Sales, Professional Service, Customer Support, Engineering, and QA

Desired Experience

• Has experience in implementing, managing, maintaining, and decommissioning complex cloud-based Information system components in a secure and controlled manner.
• Must be experienced in coordinating cross-functional teams such as support, escalation, and engineering software teams to address product issues successfully.
• Strong understanding of how to build, scale, and manage complex multi-product/service environments
• Record of building lean, automated, scalable support structures versus labor-intensive environments.
• Strong innovation mindset, analytical skills, excellent oral and written communication skills, and experience effectively communicating project/program mission and objectives.
• Must exhibit a practical customer service attitude and lead a team in resolving difficult customer situations.

Skills Required

• Very Strong Linux Knowledge & Troubleshooting Skills
• Scripting using – Bash, Python, PowerShell, etc
• Kubernetes, helm Charts
• Terraform, Ansible
• Windows Terminal Services, AD, LDAP
• Hands-on experience in cloud technology – AWS, Azure – AWS preferred
• Change, Problem & Incident Management
• Implementation awareness of Vulnerability/Penetration Testing, Security
• Strong Networking Skills
• Tools and frameworks used for monitoring, performance management, logging
• CI/CD pipeline
• SRE – Including Datadog.
• Datadog

Certification

• RHEL
• AWS
• Kubernetes

Designation : DevOps Engineer/Lead DevOps Engineer

Experience : 8-15 years

Location: Remote

Summary

Work with talented DevOps and Cloud operations engineers and architects to deliver Sycamore SaaS product offerings to our Bio-Pharma customers using exciting, cutting-edge technologies. Develop, execute, maintain, and improve procedures, automation scripts, and infrastructure implementations to support Sycamore SaaS Operations.

Roles and Responsibility

Specific roles and responsibilities include:

• Provide technical expertise and leadership when needed to SaaS Operations Production Operations teams.
• Help Implement the Cloud Operations team's goals and deliverables as determined by Sycamore Leadership
• Ensure smooth operations of Sycamore SaaS products
• Take Complete ownership of Customer Implementations, including SLA and SLO.
• Automate, enhance and maintain critical processes in Cloud Operations, such as Change Control, Monitoring & Alerting
• Drive critical processes in SaaS Operations such as Change Control, Problem & Incident Management, and Reporting, as well as key tools for Monitoring & Alerting
• Drive Disaster Recovery and failover procedures, training, testing, and team readiness
• Coordinate focus groups across all teams on process improvements and technical improvements that lead to better stability and reliability
• Contribute to process improvements and technical improvements that lead to increased stability and reliability
• Support continuous improvements in SaaS Operations by
• developing platform services and tooling for modern cloud operations, including metrics monitoring, CI/CD pipelines, etc.
• improving automation of provisioning, deployment, monitoring, alerting, and escalation
• Support Secure operations by
• implementing best-in-class recommendations for secure operations
• Carry out ongoing Production Ops activities with precision and quality
• Define, build, and deliver a high-quality SaaS Platform for Work with third-party vendors and partners to help develop a complete solution set on the SaaS platform
• Representing Cloud Operations in InfoSec meetings and developing and driving secure procedures
• Help obtain and maintain various certifications
• Being a good team player & a leader when needed for a high-performance Cloud/SaaS delivery team by
• Reviewing personal/team performance, quality reviews,
• Manage operations and operational issues.
• Establish a culture of high performance, ownership, delivery focus, and continuous improvement.

Excellence in Operations

• Implement and carry out procedures and policies to ensure high-quality SaaS operations with appropriate levels of management controls.
• Act as an internal contact for platform services issues for a customer
• Work with cross-functional departments: Sales, Professional Service, Customer Support, Engineering, and QA

Desired Experience

• Has experience in implementing, managing, maintaining, and decommissioning complex cloud-based Information system components in a secure and controlled manner.
• Must be experienced in coordinating cross-functional teams such as support, escalation, and engineering software teams to address product issues successfully.
• Strong understanding of how to build, scale, and manage complex multi-product/service environments
• Record of building lean, automated, scalable support structures versus labor-intensive environments.
• Strong innovation mindset, analytical skills, excellent oral and written communication skills, and experience effectively communicating project/program mission and objectives.
• Must exhibit a practical customer service attitude and lead a team in resolving difficult customer situations.

Skills Required

• Very Strong Linux Knowledge & Troubleshooting Skills
• Scripting using – Bash, Python, PowerShell, etc
• Kubernetes, helm Charts
• Terraform, Ansible
• Windows Terminal Services, AD, LDAP
• Hands-on experience in cloud technology – AWS, Azure – AWS preferred
• Change, Problem & Incident Management
• Implementation awareness of Vulnerability/Penetration Testing, Security
• Strong Networking Skills
• Tools and frameworks used for monitoring, performance management, logging
• CI/CD pipeline
• SRE – Including Datadog.
• Datadog

Certification

• RHEL
• AWS
• Kubernetes

b Description:

We are looking for a skilled DevOps Engineer with strong experience in automation, CI/CD, and cloud infrastructure. The ideal candidate will be responsible for building, maintaining, and optimizing deployment pipelines and ensuring smooth software delivery across environments.

Key Responsibilities:

• Design, implement, and manage CI/CD pipelines using Jenkins and Groovy .
• Work with Docker containers for application packaging and deployment.
• Manage and monitor infrastructure on AWS and other cloud platforms .
• Automate operational processes and improve system reliability and scalability.
• Collaborate with development and operations teams to ensure seamless integration and deployment.

Required Skills:

• Jenkins, Groovy scripting
• Docker and container orchestration
• AWS cloud services (EC2, S3, ECS, Lambda, etc.)
• CI/CD automation and infrastructure as code
• Strong understanding of cloud computing and DevOps principles

Job Title: DevOps Engineer

Job Location: Hyderabad, India

Worksite: Onsite (100%)

About WCT:

WaferWire Technology Solutions (WCT) specializes in delivering comprehensive cloud, data, and AI solutions through Microsoft's technology stack. Our services include strategic consulting, Data/AI Estate Modernization, and Cloud Adoption Strategy. We excel in Solution Design encompassing Application, Data, and AI Modernization, as well as Infrastructure Planning and Migrations. Our Operational Readiness services ensure seamless DevOps, ML Ops, AI Ops, and Sec Ops implementation. We focus on Implementation and Deployment of modern applications, continuous Performance Optimization, and future-ready innovations in AI, ML, and security enhancements. Delivering from Redmond-WA, USA, Guadalajara, Mexico and Hyderabad, India, our scalable solutions cater precisely to diverse business requirements and multiple time zones (US time zone alignment).

Job Role:

WCT is seeking a skilled and motivated DevOps Engineer to support the SIP Retention platform and M365 Copilot platform. This role is ideal for someone passionate about live site excellence, automation, and platform support at scale. You will play a key role in ensuring service reliability, driving operational improvements, and supporting developer engagement across Microsoft 365.

Responsibilities:

• Participate in Tier 2 live site rotations for SIP Retention, GC, and ESS services.
• Execute regular deployments, dataset onboarding, and regional expansions.
• Triage and mitigate Sev 3 ICMs and maintain/update Troubleshooting Guides (TSGs).
• Drive automation and tool improvements to enhance deployment and monitoring workflows.
• Contribute to documentation and lifecycle management of bugs for the M365 Copilot platform.
• Support internal and external developer communities through Stack Overflow and platform announcements.
• Collaborate with engineering teams to ensure smooth onboarding and integration of new datasets and services.

Required Qualifications:

• 3+ years of experience in DevOps, SRE, or software engineering roles.
• Strong scripting and automation skills (e.g., PowerShell, Python, YAML pipelines).
• Experience with Azure DevOps, CI/CD pipelines, and cloud infrastructure.
• Familiarity with incident management systems (e.g., ICM) and live site practices.
• Experience supporting Microsoft 365 services or developer platforms.
• Excellent communication and documentation skills.
• Ability to work cross-functionally in a fast-paced, distributed environment.

Equal Employment Opportunity Declaration:

WCT is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances.

About the Role:

We are seeking an experienced DevOps Engineer with strong expertise in Azure and AWS cloud platforms . The role involves designing, automating, and optimizing scalable infrastructure while ensuring high availability, security, and performance. The ideal candidate will have hands-on experience in CI/CD, containerization, and Infrastructure as Code (IaC), enabling seamless software delivery and operational efficiency.

Key Responsibilities

• Design, implement, and maintain robust CI/CD pipelines to accelerate development and deployment.
• Manage and optimize Azure and AWS cloud infrastructure.
• Develop and maintain Infrastructure as Code (IaC) using tools such as Terraform, Ansible, or CloudFormation.
• Deploy and manage containers with Docker and orchestration platforms like Kubernetes and Helm.
• Monitor, troubleshoot, and ensure high availability of production systems.
• Implement security, compliance, and governance best practices across cloud and infrastructure.
• Automate manual processes to improve operational efficiency.
• Collaborate with cross-functional teams to drive reliable and scalable solutions.
• Maintain clear and updated documentation for systems, processes, and configurations.

Required Skills & Qualifications

• 7-10 years of proven experience as a DevOps Engineer or in a similar role.
• Hands-on expertise with Azure and AWS (infrastructure management, services, and deployment).
• Strong knowledge of CI/CD tools (Jenkins, GitLab CI/CD, CircleCI, etc.).
• Proficiency in containerization & orchestration (Docker, Kubernetes).
• Experience with Infrastructure as Code (Terraform, Ansible, CloudFormation, Puppet).
• Strong scripting skills (Python, Shell, Bash).
• Experience with monitoring and logging tools (Prometheus, Grafana, ELK, Splunk, Datadog).
• Solid understanding of networking, system administration, and cloud security principles.
• Excellent problem-solving, communication, and collaboration skills.

Key Responsibilities include:

• Provide expert-level DevOps support for applications built on our internal Java/Kotlin framework.
• Collaborate with development teams to understand application needs and optimize infrastructure and deployment pipelines.
• Design, implement, and maintain robust CI/CD pipelines using Git, Docker, and related technologies.
• Manage and troubleshoot Kubernetes clusters (GKE or self-managed) , including Helm charts, ingress, autoscaling, and workload distribution.
• Monitor infrastructure and application health, setting up efficient alerting and logging mechanisms.
• Administer and optimize MySQL databases : replication, backups, performance tuning, and queries.
• Debug and resolve complex issues across the stack – from application code to containers and cloud infrastructure.
• Lead continuous improvements in DevOps tools, automation, and best practices.
• Mentor junior engineers and contribute to knowledge-sharing initiatives.

Technical Expertise:

• Strong experience with Git (advanced branching, versioning strategies).
• Deep expertise in Docker : image building, registry management, lifecycle management.
• Solid experience managing and troubleshooting Kubernetes (GKE/self-managed) and tools like Helm .
• Hands-on with GCP services : GKE, Compute Engine, Cloud SQL, Cloud Storage, Pub/Sub, Monitoring & Logging.
• Competency in managing MySQL databases including backups, performance tuning, and replication.
• Proficient in Java , with the ability to debug application code when needed.

Soft Skills:

• Strong troubleshooting skills for distributed systems and containers.
• Ownership mindset with the ability to work independently and collaboratively.
• Excellent communication skills (written and verbal).

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About the Company

(Provide a brief introduction to the company, its mission, and culture.)

About the Role

A short paragraph summarizing the key role responsibilities.

Responsibilities

• Assist in migrating workloads from AWS to Azure based on defined strategies.
• Execute server, database, and application migrations using Azure Migrate, ASR, and DMS.
• Implement Networking (VNets, VPNs, ExpressRoute), Storage (Blob, Files, Disks), and Security (NSGs, IAM, RBAC) in Azure.
• Automate infrastructure provisioning using Terraform, ARM, or Bicep.
• Troubleshoot cloud networking, application dependencies, and performance bottlenecks.
• Work on backup, disaster recovery, and failover testing post-migration.
• Collaborate with DevOps teams to integrate CI/CD pipelines for cloud deployments.
• Monitor Azure health, performance, and cost analytics to ensure operational efficiency.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.

Required Skills

• Experience in cloud migration projects, specifically AWS to Azure.
• Knowledge of Azure VM families, PaaS services, Kubernetes (AKS), and App Services.
• Hands-on experience with Azure Resource Manager (ARM), Terraform, or Bicep.
• Experience with Azure AD, IAM, and access management.
• Strong knowledge of Azure networking, DNS, Load Balancers, and VPNs.

Preferred Skills

• Familiarity with FinOps and cloud cost optimization strategies is a plus.

Pay range and compensation package

(Pay range or salary or compensation)

Equal Opportunity Statement

(Include a statement on commitment to diversity and inclusivity.)

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Job Experience

1) 4 to 8 Years of Total experience in Information Technology.

2) 2 + years of Hands on experience in Cloud Technologies (AWS and Azure)

3) 1 + years of Hands on experience in Application Development & Cloud Engineering

4) 1 + years of Hands on experience in OnShore/Offshore Working Model

Academic Qualification

Bachelor’s degree in Computer Science, Engineering, or a related field.

Primary Skills

1) Experience in cloud migration projects, specifically AWS to Azure.

2) Knowledge of Azure VM families, PaaS services, Kubernetes (AKS), and App Services.

3) Hands-on experience with Azure Resource Manager (ARM), Terraform, or Bicep.

4) Experience with Azure AD, IAM, and access management.

5) Strong knowledge of Azure networking, DNS, Load Balancers, and VPNs.

Secondary Skills

Familiarity with FinOps and cloud cost optimization strategies is a plus.

Responsibilities

1) Assist in migrating workloads from AWS to Azure based on defined strategies.

2) Execute server, database, and application migrations using Azure Migrate, ASR, and DMS.

3) Implement Networking (VNets, VPNs, ExpressRoute), Storage (Blob, Files, Disks), and Security (NSGs, IAM, RBAC) in Azure.

4) Automate infrastructure provisioning using Terraform, ARM, or Bicep.

5) Troubleshoot cloud networking, application dependencies, and performance bottlenecks.

6) Work on backup, disaster recovery, and failover testing post-migration.

7) Collaborate with DevOps teams to integrate CI/CD pipelines for cloud deployments.

8) Monitor Azure health, performance, and cost analytics to ensure operational efficiency.

Soft Skills

1) Should be able to articulate information.

2) Should be able to work independently and collaborate with team as well.

3) Should be able to manage time effectively and efficiently.

Experience Required:** 5-7 years

**Job Description:**

We are looking for an experienced Devops Engineer to join our team and help streamline and scale our machine learning workflows.

The ideal candidate will have 5-7 years of hands-on experience in deploying, monitoring, and maintaining machine learning models in production environments.

**Key Responsibilities:**

- Design, develop, and maintain scalable and automated Devops and Machine learning CICD pipelines for build, deploying and monitoring infrastructure and ML models.

- Implement best practices for CI/CD in Java/Node/Python Build and Deployment Pipelines and Knowledge in machine learning pipelines

- Manage model versioning, lifecycle management, and monitoring of models post-deployment.

- Collaborate with data scientists to ensure models are production-ready, focusing on scalability, security, and performance.

- Automate data pre-processing, feature engineering, model training, and model evaluation workflows.

- Monitor the health and performance of models in production and optimize for cost-efficiency and scalability.

- Develop and maintain infrastructure for managing large-scale machine learning workflows using cloud platforms (AWS, Azure, GCP).

- Troubleshoot issues and optimize model deployment infrastructure to ensure high availability and performance.

- Work closely with DevOps to build infrastructure-as-code solutions for managing cloud resources.

- Maintain proper documentation of MLOps processes, tools, and frameworks.

*Tech Stack*

- Experience with cloud platforms such as **AWS**, **Azure**, or **GCP**.

- Strong programming skills in **Python** and **Pyspark**

- Knowledge of **CI/CD** pipelines (preferably GIT LAB) and infrastructure-as-code tools such as **Terraform**, **CloudFormation**

- Knowledge of containerization technologies like **Docker** and orchestration using **Kubernetes**.

- Knowledge on *CPU, GPU* based deployments

- Experience with monitoring and logging tools mainly *DataDog*

- Familiarity with **data pipelines** and **ETL frameworks**

- Strong understanding of security and compliance aspects related to machine learning in production.

- Experience in code repos like *Bitbucket* , GitLab, GitHub