- Strong Understanding of Linux administration
- Good understanding of using Python or Shell scripting (Automation mindset is key in this role)
- Hands on experience with Implementation of CI/CD Processes
Experience working with one of these cloud platforms (AWS, Azure or Google Cloud) - Experience working with configuration management tools such as Ansible, Chef
Experience in Source Control Management including SVN, Bitbucket and GitHub
Experience with setup & management of monitoring tools like Nagios, Sensu & Prometheus
Troubleshoot and triage development and Production issues - Understanding of micro-services is a plus
Roles & Responsibilities
- Implementation and troubleshooting on Linux technologies related to OS, Virtualization, server and storage, backup, scripting / automation, Performance fine tuning
- LAMP stack skills
- Monitoring tools deployment / management (Nagios, New Relic, Zabbix, etc)
- Infra provisioning using Infra as code mindset
- CI/CD automation

About Opt IT technologies
About
Connect with the team
Company social profiles
Similar jobs
Roles and Responsibilities:
- AWS Cloud Management: Design, deploy, and manage AWS cloud infrastructure. Optimize and maintain cloud resources for performance and cost efficiency. Monitor and ensure the security of cloud-based systems.
- Automated Provisioning: Develop and implement automated provisioning processes for infrastructure deployment. Utilize tools like Terraform and Packer to automate and streamline the provisioning of resources.
- Infrastructure as Code (IaC): Champion the use of Infrastructure as Code principles. Collaborate with development and operations teams to define and maintain IaC scripts for infrastructure deployment and configuration.
- Collaboration and Communication: Work closely with cross-functional teams to understand project requirements and provide DevOps expertise. Communicate effectively with team members and stakeholders regarding infrastructure changes, updates, and improvements.
- Continuous Integration/Continuous Deployment (CI/CD): Implement and maintain CI/CD pipelines to automate software delivery processes. Ensure reliable and efficient deployment of applications through the development lifecycle.
- Performance Monitoring and Optimization: Implement monitoring solutions to track system performance, troubleshoot issues, and optimize resource utilization. Proactively identify opportunities for system and process improvements.
Mandatory Skills:
- Proven experience as a DevOps Engineer or similar role, with a focus on AWS.
- Strong proficiency in automated provisioning and cloud management.
- Experience with Infrastructure as Code tools, particularly Terraform and Packer.
- Solid understanding of CI/CD pipelines and version control systems.
- Strong scripting skills (e.g., Python, Bash) for automation tasks.
- Excellent problem-solving and troubleshooting skills.
- Good interpersonal and communication skills for effective collaboration.
Secondary Skills:
- AWS certifications (e.g., AWS Certified DevOps Engineer, AWS Certified Solutions Architect).
- Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
- Knowledge of microservices architecture and serverless computing.
- Familiarity with monitoring and logging tools (e.g., CloudWatch, ELK stack).
🚀 Hiring: Azure DevOps Engineer – Immediate Joiners Only! 🚀
📍 Location: Pune (Hybrid)
💼 Experience: 5+ Years
🕒 Mode of Work: Hybrid
Are you a proactive and skilled Azure DevOps Engineer looking for your next challenge? We are hiring immediate joiners to join our dynamic team! If you are passionate about CI/CD, cloud automation, and SRE best practices, we want to hear from you.
🔹 Key Skills Required:
✅ Cloud Expertise: Proficiency in any cloud (Azure preferred)
✅ CI/CD Pipelines: Hands-on experience in designing and managing pipelines
✅ Containers & IaC: Strong knowledge of Docker, Terraform, Kubernetes
✅ Incident Management: Quick issue resolution and RCA
✅ SRE & Observability: Experience with SLI/SLO/SLA, monitoring, tracing, logging
✅ Programming: Proficiency in Python, Golang
✅ Performance Optimization: Identifying and resolving system bottlenecks
What you will do
We are looking for an exceptional engineering lead to join our team. You will be responsible for building and owning the systems that would have critical impact for the business and the experience of our community from day one.
- Build and lead an agile engineering team
- Work closely with Founder on product development
- Collaborate with operations team to understand customer pain points and solve interesting problems
- Code, test, ship - manage the entire application cycle
- Build libraries and documentation for future references
- Research and develop best practices and tools to enable delivery of features
- Set up capabilities to track and report business and user metrics
- Design and improve architecture to ensure scalability
Requirements
- Proven experience at scaling tech companies, preferably in commerce or social network
- Keen to innovate, open-minded and collaborative
- Able to interpret product needs and suggest appropriate solutions
- Have led a team, also able to code hands-on
- Strong communication skills
- Strong work ethic: responsible, responsive, and detail-oriented.
Technologies we use
Go, Flutter, AWS, Google Cloud
DevOps Lead Engineer
We are seeking a skilled DevOps Lead Engineer with 8 to 10 yrs. of experience who handles the entire DevOps lifecycle and is accountable for the implementation of the process. A DevOps Lead Engineer is liable for automating all the manual tasks for developing and deploying code and data to implement continuous deployment and continuous integration frameworks. They are also held responsible for maintaining high availability of production and non-production work environments.
Essential Requirements (must have):
• Bachelor's degree preferable in Engineering.
• Solid 5+ experience with AWS, DevOps, and related technologies
Skills Required:
Cloud Performance Engineering
• Performance scaling in a Micro-Services environment
• Horizontal scaling architecture
• Containerization (such as Dockers) & Deployment
• Container Orchestration (such as Kubernetes) & Scaling
DevOps Automation
• End to end release automation.
• Solid Experience in DevOps tools like GIT, Jenkins, Docker, Kubernetes, Terraform, Ansible, CFN etc.
• Solid experience in Infra Automation (Infrastructure as Code), Deployment, and Implementation.
• Candidates must possess experience in using Linux, Jenkins, and ample experience in Configuring and automating the monitoring tools.
• Strong scripting knowledge
• Strong analytical and problem-solving skills.
• Cloud and On-prem deployments
Infrastructure Design & Provisioning
• Infra provisioning.
• Infrastructure Sizing
• Infra Cost Optimization
• Infra security
• Infra monitoring & site reliability.
Job Responsibilities:
• Responsible for creating software deployment strategies that are essential for the successful
deployment of software in the work environment and provide stable environment for delivery of
quality.
• The DevOps Lead Engineer is accountable for designing, building, configuring, and optimizing
automation systems that help to execute business web and data infrastructure platforms.
• The DevOps Lead Engineer is involved in creating technology infrastructure, automation tools,
and maintaining configuration management.
• The Lead DevOps Engineer oversees and leads the activities of the DevOps team. They are
accountable for conducting training sessions for the juniors in the team, mentoring, career
support. They are also answerable for the architecture and technical leadership of the complete
DevOps infrastructure.
We are hiring for a Lead DevOps Engineer in Cloud domain with hands on experience in Azure / GCP.
- Expertise in managing Cloud / VMWare resources and good exposure on Dockers/Kubernetes
- Working knowledge of operating systems( Unix, Linux, IBM AIX)
- Experience in installation, configuration and managing apache webserver, Tomcat/Jboss
- Good understanding of JVM, troubleshooting and performance tuning through thread dump and log analysis
-Strong expertise in Dev Ops tools:
- Deployment (Chef/Puppet/Ansible /Nebula/Nolio)
- SCM (TFS, GIT, ClearCase)
- Build tools (Ant,Maven, Make, Gradle)
- Artifact repositories (Nexes, JFrog ArtiFactory)
- CI tools (Jenkins, TeamCity),
- Experienced in scripting languages: Python, Ant, Bash and Shell
What will be required of you?
- Responsible for implementation and support of application/web server infrastructure for complex business applications
- Server configuration management, release management, deployments, automation & troubleshooting
- Set-up and configure Development, Staging, UAT and Production server environment for projects and install/configure all dependencies using the industry best practices
- Manage Code Repositories
- Manage, Document, Control and Innovate Development and Release procedure.
- Configure automated deployment on multiple environment
- Hands-on working experience of Azure or GCP.
- Knowledge Transfer the implementation to support team and until such time support any production issues
Key Responsibilities:-
• Collaborate with Data Scientists to test and scale new algorithms through pilots and later industrialize the solutions at scale to the comprehensive fashion network of the Group
• Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service to provide an e2e solution
• Leverage an understanding of software architecture and software design patterns to write scalable, maintainable, well-designed and future-proof code
• Design, develop and maintain the framework for the analytical pipeline
• Develop common components to address pain points in machine learning projects, like model lifecycle management, feature store and data quality evaluation
• Provide input and help implement framework and tools to improve data quality
• Work in cross-functional agile teams of highly skilled software/machine learning engineers, data scientists, designers, product managers and others to build the AI ecosystem within the Group
• Deliver on time, demonstrating a strong commitment to deliver on the team mission and agreed backlog
- Bachelor’s and/or master’s degree in Computer Science, Computer Engineering or related technical discipline
- About 5 years of professional experience supporting AWS cloud environments
- Certified Amazon Architect Associate or Architect
- Experience serving as lead (shift management, reporting) will be a plus
- AWS Architect Certified Solution Architect Professional (Must have)
- Minimum 4yrs experience, maximum 8 years’ experience.
- 100% work from office in Hyderabad
- Very fluent in English
The role requires you to design development pipelines from the ground up, Creation of Docker Files, and 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.
Requirements
- 2 years experience as Team Lead.
- Good Command on kubernetes.
- 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 cloud formation 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(Nagios or similar), IaC(Terraform, cloud formation).
Roles and Responsibilities
● Managing Availability, Performance, Capacity of infrastructure and applications.
● Building and implementing observability for applications health/performance/capacity.
● Optimizing On-call rotations and processes.
● Documenting “tribal” knowledge.
● Managing Infra-platforms like
- Mesos/Kubernetes
- CICD
- Observability(Prometheus/New Relic/ELK)
- Cloud Platforms ( AWS/ Azure )
- Databases
- Data Platforms Infrastructure
● Providing help in onboarding new services with the production readiness review process.
● Providing reports on services SLO/Error Budgets/Alerts and Operational Overhead.
● Working with Dev and Product teams to define SLO/Error Budgets/Alerts.
● Working with the Dev team to have an in-depth understanding of the application architecture and its bottlenecks.
● Identifying observability gaps in product services, infrastructure and working with stake owners to fix it.
● Managing Outages and doing detailed RCA with developers and identifying ways to avoid that situation.
● Managing/Automating upgrades of the infrastructure services.
● Automate toil work.
Experience & Skills
● 3+ Years of experience as an SRE/DevOps/Infrastructure Engineer on large scale microservices and infrastructure.
● A collaborative spirit with the ability to work across disciplines to influence, learn, and deliver.
● A deep understanding of computer science, software development, and networking principles.
● Demonstrated experience with languages, such as Python, Java, Golang etc.
● Extensive experience with Linux administration and good understanding of the various linux kernel subsystems (memory, storage, network etc).
● Extensive experience in DNS, TCP/IP, UDP, GRPC, Routing and Load Balancing.
● Expertise in GitOps, Infrastructure as a Code tools such as Terraform etc.. and Configuration Management Tools such as Chef, Puppet, Saltstack, Ansible.
● Expertise of Amazon Web Services (AWS) and/or other relevant Cloud Infrastructure solutions like Microsoft Azure or Google Cloud.
● Experience in building CI/CD solutions with tools such as Jenkins, GitLab, Spinnaker, Argo etc.
● Experience in managing and deploying containerized environments using Docker,
Mesos/Kubernetes is a plus.
● Experience with multiple datastores is a plus (MySQL, PostgreSQL, Aerospike,
Couchbase, Scylla, Cassandra, Elasticsearch).
● Experience with data platforms tech stacks like Hadoop, Hive, Presto etc is a plus
- Works independently without any supervision
- Work on continuous improvement of the products through innovation and learning. Someone with a knack for benchmarking and optimization
- Experience in deploying highly complex, distributed transaction processing systems.
- Stay abreast with new innovations and the latest technology trends and explore ways of leveraging these for improving the product in alignment with the business.
- As a component owner, where the component impacts across multiple platforms (5-10-member team), work with customers to obtain their requirements and deliver the end-to-end project.
Required Experience, Skills, and Qualifications
- 5+ years of experience as a DevOps Engineer. Experience with the Golang cycle is a plus
- At least one End to End CI/CD Implementation experience
- Excellent Problem Solving and Debugging skills in DevOps area· Good understanding of Containerization (Docker/Kubernetes)
- Hands-on Build/Package tool experience· Experience with AWS services Glue, Athena, Lambda, EC2, RDS, EKS/ECS, ALB, VPC, SSM, Route 53
- Experience with setting up CI/CD pipeline for Glue jobs, Athena, Lambda functions
- Experience architecting interaction with services and application deployments on AWS
- Experience with Groovy and writing Jenkinsfile
- Experience with repository management, code scanning/linting, secure scanning tools
- Experience with deployments and application configuration on Kubernetes
- Experience with microservice orchestration tools (e.g. Kubernetes, Openshift, HashiCorp Nomad)
- Experience with time-series and document databases (e.g. Elasticsearch, InfluxDB, Prometheus)
- Experience with message buses (e.g. Apache Kafka, NATS)
- Experience with key-value stores and service discovery mechanisms (e.g. Redis, HashiCorp Consul, etc)

