DevOps Engineer

Job Role : DevOps Engineer (Python + DevOps)

Experience : 4 to 10 Years

Location : Hyderabad

Work Mode : Hybrid

Mandatory Skills : Python, Ansible, Docker, Kubernetes, CI/CD, Cloud (AWS/Azure/GCP)

Job Description :

We are looking for a skilled DevOps Engineer with expertise in Python, Ansible, Docker, and Kubernetes.

The ideal candidate will have hands-on experience automating deployments, managing containerized applications, and ensuring infrastructure reliability.

Key Responsibilities :

• Design and manage containerization and orchestration using Docker & Kubernetes.
• Automate deployments and infrastructure tasks using Ansible & Python.
• Build and maintain CI/CD pipelines for streamlined software delivery.
• Collaborate with development teams to integrate DevOps best practices.
• Monitor, troubleshoot, and optimize system performance.
• Enforce security best practices in containerized environments.
• Provide operational support and contribute to continuous improvements.

Required Qualifications :

• Bachelor’s in Computer Science/IT or related field.
• 4+ years of DevOps experience.
• Proficiency in Python and Ansible.
• Expertise in Docker and Kubernetes.
• Hands-on experience with CI/CD tools and pipelines.
• Experience with at least one cloud provider (AWS, Azure, or GCP).
• Strong analytical, communication, and collaboration skills.

Preferred Qualifications :

• Experience with Infrastructure-as-Code tools like Terraform.
• Familiarity with monitoring/logging tools like Prometheus, Grafana, or ELK.
• Understanding of Agile/Scrum practices.

• Experience with Infrastructure-as-Code tools(IaS) like Terraform and Cloud Formation.
• Proficiency in cloud-native technologies and architectures (Docker/ Kubernetes), Ci/CD pipelines.
• Good experience in Javascript.
• Expertise in Linux / Windows environment.
• Good Experience in Scripting languages like PowerShell / Bash/ Python.
• Proficiency in revision control and DevOps best practices like Git

Overview

adesso India specialises in optimization of core business processes for organizations. Our focus is on providing state-of-the-art solutions that streamline operations and elevate productivity to new heights.

Comprised of a team of industry experts and experienced technology professionals, we ensure that our software development and implementations are reliable, robust, and seamlessly integrated with the latest technologies. By leveraging our extensive knowledge and skills, we empower businesses to achieve their objectives efficiently and effectively.

Job Description

The client’s department DPS, Digital People Solutions, offers a sophisticated portfolio of IT applications, providing a strong foundation for professional and efficient People & Organization (P&O) and Business Management, both globally and locally, for a well-known German company listed on the DAX-40 index, which includes the 40 largest and most liquid companies on the Frankfurt Stock Exchange

We are seeking talented DevOps-Engineers with focus on Elastic Stack (ELK) to join our dynamic DPS team. In this role, you will be responsible for refining and advising on the further development of an existing monitoring solution based on the Elastic Stack (ELK). You will independently handle tasks related to architecture, setup, technical migration, and documentation.

The current application landscape features multiple Java web services running on JEE application servers, primarily hosted on AWS, and integrated with various systems such as SAP, other services, and external partners. DPS is committed to delivering the best digital work experience for the customers employees and customers alike.

Responsibilities:

Install, set up, and automate rollouts using Ansible/CloudFormation for all stages (Dev, QA, Prod) in the AWS Cloud for components such as Elastic Search, Kibana, Metric beats, APM server, APM agents, and interface configuration.

Create and develop regular "Default Dashboards" for visualizing metrics from various sources like Apache Webserver, application servers and databases.

Improve and fix bugs in installation and automation routines.

Monitor CPU usage, security findings, and AWS alerts.

Develop and extend "Default Alerting" for issues like OOM errors, datasource issues, and LDAP errors.

Monitor storage space and create concepts for expanding the Elastic landscape in AWS Cloud and Elastic Cloud Enterprise (ECE).

Implement machine learning, uptime monitoring including SLA, JIRA integration, security analysis, anomaly detection, and other useful ELK Stack features.

Integrate data from AWS CloudWatch.

Document all relevant information and train involved personnel in the used technologies.

Requirements:

Experience with Elastic Stack (ELK) components and related technologies.

Proficiency in automation tools like Ansible and CloudFormation.

Strong knowledge of AWS Cloud services.

Experience in creating and managing dashboards and alerts.

Familiarity with IAM roles and rights management.

Ability to document processes and train team members.

Excellent problem-solving skills and attention to detail.

Skills & Requirements

Elastic Stack (ELK), Elasticsearch, Kibana, Logstash, Beats, APM, Ansible, CloudFormation, AWS Cloud, AWS CloudWatch, IAM roles, AWS security, Automation, Monitoring, Dashboard creation, Alerting, Anomaly detection, Machine learning integration, Uptime monitoring, JIRA integration, Apache Webserver, JEE application servers, SAP integration, Database monitoring, Troubleshooting, Performance optimization, Documentation, Training, Problem-solving, Security analysis.

(Candidates from Service based Companies apply-Looking for automation(shell or python scripting))

SHIFT- Shift time either US East coast or west coast (2:30 PM to 10:30 PM India time or 5 to 2 am india time)

Exp- 5 to 8 years

Salary- Upto 25 LPA

Hyderabad based candidates preferred!

Immediate joiners would be preferred!!

Role Objective:

• Ability to identify processes where efficiency could be improved via automation
• Ability to research, prototype, iterate and test automation solutions
• Good Technical understanding of Cloud service offering, with a sound appreciation of the associated business processes.
• Ability to build & maintain a strong working relationship with other Technical teams using the agile methodology (internal and external), Infrastructure Partners and Service Engagement Managers.
• Ability to shape and co-ordinate delivery of key initiatives to deliver improvements in stability
• Good understanding of the cost of the e2e service provision, and delivery of associated savings.
• Knowledge of web security principals
• Strong Linux experience – comfortable working from command line
• Some networking knowledge (routing, DNS)
• Knowledge of HA and DR concepts and experience implementing them
• Working with team to analyse and design infrastructure with 99.99% up-time.

Qualifications:

• Infrastructure automation through DevOps scripting (Eg Python, Ruby, PowerShell, Java, shell) or previous software development experience
• Experience in building and managing production cloud environments from the ground up.
• Hands-on, working experience with primary AWS services (EC2, VPC, RDS, Route53, S3)
• Knowledge on repository management (GitHub, SVN)
• Solid understanding of web application architecture and RDBMS (SQL Server preferred).
• Experience with IT compliance and risk management requirements is a bonus. (Eg Security, Privacy, HIPAA, SOX, etc)
• Strong logical, analytical and problem-solving skills with excellent communication skills.
• Should have degree in computer science, MIS, engineering or equivalent with 5+ years of experience.
• Should be willing to work in rotational shifts (including the nights)

Perks and benefits:

• Health & Wellness
• Paid time off
• Learning at work
• Fun at work
• Night shift allowance
• Comp off
• Pick and drop facility available to certain distance

LogiNext is looking for a technically savvy and passionate Senior DevOps Engineer to cater to the development and operations efforts in product. You will choose and deploy tools and technologies to build and support a robust and scalable infrastructure.

You have hands-on experience in building secure, high-performing and scalable infrastructure. You have experience to automate and streamline the development operations and processes. You are a master in troubleshooting and resolving issues in non-production and production environments.

Responsibilities:

Design and implement scalable infrastructure for delivering and running web, mobile and big data applications on cloud Scale and optimise a variety of SQL and NoSQL databases, web servers, application frameworks, caches, and distributed messaging systems Automate the deployment and configuration of the virtualized infrastructure and the entire software stack Support several Linux servers running our SaaS platform stack on AWS, Azure, GCP Define and build processes to identify performance bottlenecks and scaling pitfalls Manage robust monitoring and alerting infrastructure Explore new tools to improve development operations

Requirements:

Bachelor’s degree in Computer Science, Information Technology or a related field 4 to 7 years of experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure Strong background in Linux/Unix Administration and Python/Shell Scripting Extensive experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure Experience in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms Experience in enterprise application development, maintenance and operations Knowledge of best practices and IT operations in an always-up, always-available service Excellent written and oral communication skills, judgment and decision-making skills

Job Description :

Acceldata is creating the Data observability space. We make it possible for data-driven enterprises to effectively monitor, discover, and validate Data pipelines at Petabyte scale. Our customers include a Fortune 500 company, one of Asia's largest telecom companies, and a unicorn fintech startup. We are lean, hungry, customer-obsessed, and growing fast. Our Engineering team values productivity, integrity, and pragmatism. We provide a flexible, remote-friendly work environment.

Roles & responsibilities:

• Champion engineering and operational excellence.
• Establish a solid infrastructure framework and excellent development and deployment processes.
• Provide technical guidance to both your team members and your peers from the development team.
• Work with the development teams closely to gather system requirements, new service proposals and large system improvements and come up with the infrastructure architecture leading to stable, well-monitored fly, performant and secure systems.
• Be part of and help create a positive work environment based on accountability.
• Communicate across functions and drive engineering initiatives.
• Initiate cross team collaboration with product development teams to develop high quality, polished products and services.

Must haves:

• 5+ years of professional experience developing, and launching software products on Cloud.
• Basic understanding Java/Go Programming
• Good Understanding of Container Technologies/Orchestration platforms (e. g Docker, Kubernetes)
• Deep understanding of AWS or Any Cloud.
• Good understanding of data stores like Postgres, Redis, Kafka, and Elasticsearch.
• Good Understanding of Operating systems
• Strong technical background with track record of individual technical accomplishments
• Ability to handle multiple competing priorities in a fast paced environment
• Ability to establish credibility with smart engineers quickly.
• Most importantly, ability to learn and urge to learn new things.
• B.Tech/M.Tech in Computer Science or a related technical field.

Good to Have:

• Hands-on knowledge of Configuration Management and Deployment tools like – Ansible, Terraform etc.
• Proficient in scripting, and Git and Git workflows
• Experience in developing Continuous Integration/ Continuous Delivery pipelines
• Knowledge of Big Data systems.

Experienced with Azure DevOps, CI/CD and Jenkins.

Experience is needed in Kubernetes (AKS), Ansible, Terraform, Docker.

Good understanding in Azure Networking, Azure Application Gateway, and other Azure components.

Experienced Azure DevOps Engineer ready for a Senior role or already at a Senior level.

Demonstrable experience with the following technologies:

Microsoft Azure Platform As A Service (PaaS) product such as Azure SQL, AppServices, Logic Apps, Functions and other Serverless services.

Understanding of Microsoft Identity and Access Management products such including Azure AD or AD B2C.

Microsoft Azure Operational and Monitoring tools, including Azure Monitor, App Insights and Log Analytics.

Knowledge of PowerShell, GitHub, ARM templates, version controls/hotfix strategy and deployment automation.

Ability and desire to quickly pick up new technologies, languages, and tools

Excellent communication skills and Good team player.

Passionate about code quality and best practices is an absolute must

Must show evidence of your passion for technology and continuous learning

As an Infrastructure Engineer at Navi, you will be building a resilient infrastructure platform, using modern Infrastructure engineering practices.

You will be responsible for the availability, scaling, security, performance and monitoring of the navi Cloud platform. You’ll be joining a team that follows best practices in infrastructure as code

• Build out the Infrastructure components like API Gateway, Service Mesh, Service Discovery, container orchestration platform like kubernetes.
• Developing reusable Infrastructure code and testing frameworks
• Build meaningful abstractions to hide the complexities of provisioning modern infrastructure components
• Design a scalable Centralized Logging and Metrics platform
• Drive solutions to reduce Mean Time To Recovery(MTTR), enable High Availability.

• Good to have experience in managing large scale cloud infrastructure, preferable AWS and Kubernetes
• Experience in developing applications using programming languages like Java, Python and Go
• Experience in handling logs and metrics at a high scale.
• Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.