Docker
Kubernetes
Amazon Web Services (AWS)Bachelor's degree in Computer Science or a related field, or equivalent work experience
Strong understanding of cloud infrastructure and services, such as AWS, Azure, or Google Cloud Platform
Experience with infrastructure as code tools such as Terraform or CloudFormation
Proficiency in scripting languages such as Python, Bash, or PowerShell
Familiarity with DevOps methodologies and tools such as Git, Jenkins, or Ansible
Strong problem-solving and analytical skills
Excellent communication and collaboration skills
Ability to work independently and as part of a team
Willingness to learn new technologies and tools as required
Shubham Vishwakarma
Full Stack Developer - Averlon
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Role Overview
We are looking for a hands-on DevOps Engineer who will own infrastructure, deployment, reliability, and cloud cost optimisation. You will work closely with backend, AI, and product teams to ensure the platform is secure, scalable, and always available.
This is a high-ownership role with real impact on uptime, performance, and developer velocity.
Key Responsibilities
Infrastructure & Cloud Management
- Design, deploy, and manage cloud infrastructure (GCP preferred; AWS acceptable)
- Manage Compute Engine, Cloud Run, Kubernetes (GKE), Cloud SQL, storage, and networking
- Ensure high availability, fault tolerance, and scalability
CI/CD & Deployment
- Build and maintain CI/CD pipelines for backend and AI services
- Automate deployments, rollbacks, and environment management (dev, staging, prod)
- Improve release reliability and deployment speed
Monitoring, Reliability & Security
- Set up monitoring, alerting, and logging (uptime, CPU, memory, errors, latency)
- Proactively identify and resolve performance bottlenecks and incidents
- Implement security best practices: IAM, secrets management, backups, and access controls
Cost Optimisation & Performance
- Monitor and optimise cloud costs (compute, databases, storage)
- Implement autoscaling, right-sizing, and resource optimisation
- Work with engineering teams to balance performance with cost efficiency
Required Qualifications & Skills
- 3–6 years of hands-on DevOps / Cloud Engineering experience
- Strong experience with GCP (or AWS with willingness to transition)
- Experience with Docker, Kubernetes, and containerised workloads
- Experience with CI/CD tools (GitHub Actions, GitLab CI, or similar)
- Ability to troubleshoot production issues under pressure
- Experience with AI/ML workloads and GPU-based deployments
KubernetesDockerAmazon Web Services (AWS)Responsibilities
● Work with application development teams to identify and understand their operational pain points.
● Document these challenges and define goals to be achieved by the infrastructure team.
● Prototype and evaluate multiple solutions, often by experimenting with various vendors and tools available, to achieve the goals undertaken.
● Rollout tools and processes with heavy focus on automation.
● Evangelize and help onboard application development teams on the platforms provided by the infrastructure team.
● Co-own the responsibility with application development teams to ensure the reliability of services.
● Design and implement solutions around observability to ensure ease of maintenance and quick debugging of services
● Establish and implement administrative and operational best practices in the application development teams.
● Find avenues to reduce infrastructure costs and drive optimization in all services.
Qualifications
● 5+ years of experience as a DevOps / Infrastructure engineer with cloud platforms (preferably AWS)
● Experience with git, CI / CD, Docker, etc
● Experience in working with infrastructure as code (Terraform, etc).
● Strong Linux Shell scripting experience
● Experience with one of the programming languages like Python, Java, Kotlin, etc.
DockerKubernetesAmazon Web Services (AWS)About BootLabs
https://www.google.com/url?q=https://www.bootlabs.in/&;sa=D&source=calendar&ust=1667803146567128&usg=AOvVaw1r5g0R_vYM07k6qpoNvvh6" target="_blank">https://www.bootlabs.in/
-We are a Boutique Tech Consulting partner, specializing in Cloud Native Solutions.
-We are obsessed with anything “CLOUD”. Our goal is to seamlessly automate the development lifecycle, and modernize infrastructure and its associated applications.
-With a product mindset, we enable start-ups and enterprises on the cloud
transformation, cloud migration, end-to-end automation and managed cloud services.
-We are eager to research, discover, automate, adapt, empower and deliver quality solutions on time.
-We are passionate about customer success. With the right blend of experience and exuberant youth in our in-house team, we have significantly impacted customers.
Technical Skills:
• Expertise in any one hyper scaler (AWS/AZURE/GCP), including basic services like networking,
data and workload management.
- AWS
Networking: VPC, VPC Peering, Transit Gateway, Route Tables, Security Groups, etc.
Data: RDS, DynamoDB, Elastic Search
Workload: EC2, EKS, Lambda, etc.
- Azure
Data: Azure MySQL, Azure MSSQL, etc.
Workload: AKS, Virtual Machines, Azure Functions
- GCP
Data: Cloud Storage, DataFlow, Cloud SQL, Firestore, BigTable, BigQuery
Workload: GKE, Instances, App Engine, Batch, etc.
• Experience in any one of the CI/CD tools (Gitlab/Github/Jenkins) including runner setup,
templating and configuration.
• Kubernetes experience or Ansible Experience (EKS/AKS/GKE), basics like pod, deployment,
networking, service mesh. Used any package manager like helm.
• Scripting experience (Bash/python), automation in pipelines when required, system service.
• Infrastructure automation (Terraform/pulumi/cloud formation), write modules, setup pipeline and version the code.
Optional:
• Experience in any programming language is not required but is appreciated.
• Good experience in GIT, SVN or any other code management tool is required.
• DevSecops tools like (Qualys/SonarQube/BlackDuck) for security scanning of artifacts, infrastructure and code.
• Observability tools (Opensource: Prometheus, Elasticsearch, Open Telemetry; Paid: Datadog,
24/7, etc)
DockerKubernetesAmazon Web Services (AWS)Implementing various development, testing, automation tools, and IT infrastructure
Selecting and deploying appropriate CI/CD tools
Required Candidate profile
LinuxWorking knowledge of any webserver eg- NGINX or Apache
Jenkins
GitHubDevOps Architect
Experience: 10 - 12+ year relevant experience on DevOps
Locations : Bangalore, Chennai, Pune, Hyderabad, Jaipur.
Qualification:
• Bachelors or advanced degree in Computer science, Software engineering or equivalent is required.
• Certifications in specific areas are desired
Technical Skillset: Skills Proficiency level
- Build tools (Ant or Maven) - Expert
- CI/CD tool (Jenkins or Github CI/CD) - Expert
- Cloud DevOps (AWS CodeBuild, CodeDeploy, Code Pipeline etc) or Azure DevOps. - Expert
- Infrastructure As Code (Terraform, Helm charts etc.) - Expert
- Containerization (Docker, Docker Registry) - Expert
- Scripting (linux) - Expert
- Cluster deployment (Kubernetes) & maintenance - Expert
- Programming (Java) - Intermediate
- Application Types for DevOps (Streaming like Spark, Kafka, Big data like Hadoop etc) - Expert
- Artifactory (JFrog) - Expert
- Monitoring & Reporting (Prometheus, Grafana, PagerDuty etc.) - Expert
- Ansible, MySQL, PostgreSQL - Intermediate
• Source Control (like Git, Bitbucket, Svn, VSTS etc)
• Continuous Integration (like Jenkins, Bamboo, VSTS )
• Infrastructure Automation (like Puppet, Chef, Ansible)
• Deployment Automation & Orchestration (like Jenkins, VSTS, Octopus Deploy)
• Container Concepts (Docker)
• Orchestration (Kubernetes, Mesos, Swarm)
• Cloud (like AWS, Azure, GoogleCloud, Openstack)
Roles and Responsibilities
• DevOps architect should automate the process with proper tools.
• Developing appropriate DevOps channels throughout the organization.
• Evaluating, implementing and streamlining DevOps practices.
• Establishing a continuous build environment to accelerate software deployment and development processes.
• Engineering general and effective processes.
• Helping operation and developers teams to solve their problems.
• Supervising, Examining and Handling technical operations.
• Providing a DevOps Process and Operations.
• Capacity to handle teams with leadership attitude.
• Must possess excellent automation skills and the ability to drive initiatives to automate processes.
• Building strong cross-functional leadership skills and working together with the operations and engineering teams to make sure that systems are scalable and secure.
• Excellent knowledge of software development and software testing methodologies along with configuration management practices in Unix and Linux-based environment.
• Possess sound knowledge of cloud-based environments.
• Experience in handling automated deployment CI/CD tools.
• Must possess excellent knowledge of infrastructure automation tools (Ansible, Chef, and Puppet).
• Hand on experience in working with Amazon Web Services (AWS).
• Must have strong expertise in operating Linux/Unix environments and scripting languages like Python, Perl, and Shell.
• Ability to review deployment and delivery pipelines i.e., implement initiatives to minimize chances of failure, identify bottlenecks and troubleshoot issues.
• Previous experience in implementing continuous delivery and DevOps solutions.
• Experience in designing and building solutions to move data and process it.
• Must possess expertise in any of the coding languages depending on the nature of the job.
• Experience with containers and container orchestration tools (AKS, EKS, OpenShift, Kubernetes, etc)
• Experience with version control systems a must (GIT an advantage)
• Belief in "Infrastructure as a Code"(IaaC), including experience with open-source tools such as terraform
• Treats best practices for security as a requirement, not an afterthought
• Extensive experience with version control systems like GitLab and their use in release management, branching, merging, and integration strategies
• Experience working with Agile software development methodologies
• Proven ability to work on cross-functional Agile teams
• Mentor other engineers in best practices to improve their skills
• Creating suitable DevOps channels across the organization.
• Designing efficient practices.
• Delivering comprehensive best practices.
• Managing and reviewing technical operations.
• Ability to work independently and as part of a team.
• Exceptional communication skills, be knowledgeable about the latest industry trends, and highly innovative
DockerKubernetesAmazon Web Services (AWS)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
Amazon Web Services (AWS)- Lead, inspire, and influence to make sure your team is successful
- Partner with the recruiting team to attract and retain high-quality and diverse talent
- Establish great rapport with other development teams, Product Managers, Sales, and Customer Success to maintain high levels of visibility, efficiency, and collaboration
- Ensure teams have appropriate technical direction, leadership, and balance between short-term impact and long-term architectural vision.
- Occasionally contributing to development tasks such as coding and feature verifications to assist teams with release commitments, to gain an understanding of the deeply technical product as well as to keep your technical acumen sharp
You'll need:
- BS/MS degree in CS-or- a related field with 5+ years of engineering management experience leading productive, high-functioning teams
- Strong fundamentals in distributed systems design and development
- Ability to hire while ensuring a high hiring bar, keep engineers motivated, coach/mentor, and handle performance management
- Experience running production services in Public Clouds such as AWS, GCP, and Azure
- Experience with running large stateful data systems in the Cloud
- Prior knowledge of Cloud architecture and implementation features (multi-tenancy, containerization, orchestration, elastic scalability)
- A great track record of shipping features and hitting deadlines consistently; should be able to move fast, build in increments and iterate; have a sense of urgency, aggressive mindset towards achieving results and excellent prioritization skills; able to anticipate future technical needs for the product and craft plans to realize them
- Ability to influence the team, peers, and upper management using effective communication and collaborative techniques; focused on building and maintaining a culture of collaboration within the team
DockerExperience: 5+yrs
Skills Required: -
Experience in Azure Administration, Configuration and Deployment of WindowsLinux VMContainer
based infrastructure Scripting Programming in Python, JavaScriptTypeScript, C Scripting PowerShell ,
Azure CLI and shell Scripts Identity, Access Management and RBAC model Virtual Networking, storage,
and Compute Resources
Azure Database Technologies. Monitoring and Analytics Tools in Azure
Azure DevOps based CICD Build pipeline integrated with GitHub – Java and Node.js
Test Automation and other CICD Tools
Azure Infrastructure using ARM template Terrafor
Python• Develop and maintain CI/CD tools to build and deploy scalable web and responsive applications in production environment
• Design and implement monitoring solutions that identify both system bottlenecks and production issues
• Design and implement workflows for continuous integration, including provisioning, deployment, testing, and version control of the software.
• Develop self-service solutions for the engineering team in order to deliver sites/software with great speed and quality
o Automating Infra creation
o Provide easy to use solutions to engineering team
• Conduct research, tests, and implements new metrics collection systems that can be reused and applied as engineering best practices
o Update our processes and design new processes as needed.
o Establish DevOps Engineer team best practices.
o Stay current with industry trends and source new ways for our business to improve.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Manage timely resolution of all critical and/or complex problems
• Maintain, monitor, and establish best practices for containerized environments.
• Mentor new DevOps engineers
What you will bring
• The desire to work in fast-paced environment.
• 5+ years’ experience building, maintaining, and deploying production infrastructures in AWS or other cloud providers
• Containerization experience with applications deployed on Docker and Kubernetes
• Understanding of NoSQL and Relational Database with respect to deployment and horizontal scalability
• Demonstrated knowledge of Distributed and Scalable systems Experience with maintaining and deployment of critical infrastructure components through Infrastructure-as-Code and configuration management tooling across multiple environments (Ansible, Terraform etc)
• Strong knowledge of DevOps and CI/CD pipeline (GitHub, BitBucket, Artifactory etc)
• Strong understanding of cloud and infrastructure components (server, storage, network, data, and applications) to deliver end-to-end cloud Infrastructure architectures and designs and recommendations
o AWS services like S3, CloudFront, Kubernetes, RDS, Data Warehouses to come up with architecture/suggestions for new use cases.
• Test our system integrity, implemented designs, application developments and other processes related to infrastructure, making improvements as needed
Good to have
• Experience with code quality tools, static or dynamic code analysis and compliance and undertaking and resolving issues identified from vulnerability and compliance scans of our infrastructure
• Good knowledge of REST/SOAP/JSON web service API implementation
•
Amazon Web Services (AWS)
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon