Docker
Kubernetes
Amazon Web Services (AWS)Requirements
- 3+ years work experience writing clean production code
- Well versed with maintaining infrastructure as code (Terraform, Cloudformation etc). High proficiency with Terraform / Terragrunt is absolutely critical
- Experience of setting CI/CD pipelines from scratch
- Experience with AWS(EC2, ECS, RDS, Elastic Cache etc), AWS lambda, Kubernetes, Docker, ServiceMesh
- Experience with ETL pipelines, Bigdata infra
- Understanding of common security issues
Roles / Responsibilities:
- Write terraform modules for deploying different component of infrastructure in AWS like Kubernetes, RDS, Prometheus, Grafana, Static Website
- Configure networking, autoscaling. continuous deployment, security and multiple environments
- Make sure the infrastructure is SOC2, ISO 27001 and HIPAA compliant
- Automate all the steps to provide a seamless experience to developers.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Amazon Web Services (AWS)Senior Cloud Engineer Job Description
Position Title: Senior Cloud Engineer -- AWS [LONG TERM-CONTRACT POSITION]
Location: Remote [REQUIRES WORKING IN CST TIME ZONE]
Position Overview
The Senior Cloud Engineer will play a critical role in designing, deploying, and managing scalable, secure, and highly available cloud infrastructure across multiple platforms (AWS, Azure, Google Cloud). This role requires deep technical expertise, leadership in cloud
strategy, and hands-on experience with automation, DevOps practices, and cloud-native technologies. The ideal candidate will work collaboratively with cross-functional teams to deliver robust cloud solutions, drive best practices, and support business objectives
through innovative cloud engineering.
Key Responsibilities
Design, implement, and maintain cloud infrastructure and services, ensuring high availability, performance, and security across multi-cloud environments (AWS, Azure, GCP)
Develop and manage Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, and Ansible for automated provisioning and configuration
Lead the adoption and optimization of DevOps methodologies, including CI/CD pipelines, automated testing, and deployment processes
Collaborate with software engineers, architects, and stakeholders to architect cloud-native solutions that meet business and technical requirements
Monitor, troubleshoot, and optimize cloud systems for cost, performance, and reliability, using cloud monitoring and logging tools
Ensure cloud environments adhere to security best practices, compliance standards, and governance policies, including identity and access management, encryption, and vulnerability management
Mentor and guide junior engineers, sharing knowledge and fostering a culture of continuous improvement and innovation
Participate in on-call rotation and provide escalation support for critical cloud infrastructure issues
Document cloud architectures, processes, and procedures to ensure knowledge transfer and operational excellence
Stay current with emerging cloud technologies, trends, and best practices,
Required Qualifications
- Bachelors or Masters degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent work experience
- 6–10 years of experience in cloud engineering or related roles, with a proven track record in large-scale cloud environments
- Deep expertise in at least one major cloud platform (AWS, Azure, Google Cloud) and experience in multi-cloud environments
- Strong programming and scripting skills (Python, Bash, PowerShell, etc.) for automation and cloud service integration
- Proficiency with DevOps tools and practices, including CI/CD (Jenkins, GitLab CI), containerization (Docker, Kubernetes), and configuration management (Ansible, Chef)
- Solid understanding of networking concepts (VPC, VPN, DNS, firewalls, load balancers), system administration (Linux/Windows), and cloud storage solutions
- Experience with cloud security, governance, and compliance frameworks
- Excellent analytical, troubleshooting, and root cause analysis skills
- Strong communication and collaboration abilities, with experience working in agile, interdisciplinary teams
- Ability to work independently, manage multiple priorities, and lead complex projects to completion
Preferred Qualifications
- Relevant cloud certifications (e.g., AWS Certified Solutions Architect, AWS DevOps Engineer, Microsoft AZ-300/400/500, Google Professional Cloud Architect)
- Experience with cloud cost optimization and FinOps practices
- Familiarity with monitoring/logging tools (CloudWatch, Kibana, Logstash, Datadog, etc.)
- Exposure to cloud database technologies (SQL, NoSQL, managed database services)
- Knowledge of cloud migration strategies and hybrid cloud architectures
DockerKubernetesAmazon Web Services (AWS)We are looking for candidates that have experience in development and have performed CI/CD based projects. Should have a good hands-on Jenkins Master-Slave architecture, used AWS native services like CodeCommit, CodeBuild, CodeDeploy and CodePipeline. Should have experience in setting up cross platform CI/CD pipelines which can be across different cloud platforms or on-premise and cloud platform.
Job Description:
- Hands on with AWS (Amazon Web Services) Cloud with DevOps services and CloudFormation.
- Experience interacting with customer.
- Excellent communication.
- Hands-on in creating and managing Jenkins job, Groovy scripting.
- Experience in setting up Cloud Agnostic and Cloud Native CI/CD Pipelines.
- Experience in Maven.
- Experience in scripting languages like Bash, Powershell, Python.
- Experience in automation tools like Terraform, Ansible, Chef, Puppet.
- Excellent troubleshooting skills.
- Experience in Docker and Kuberneties with creating docker files.
- Hands on with version control systems like GitHub, Gitlab, TFS, BitBucket, etc.
KubernetesDockerAmazon Web Services (AWS)
PythonWhat the role needs
● Review of current DevOps infrastructure & redefine code merging strategy as per product roll out objectives
● Define deploy frequency strategy based on product roadmap document and ongoing product market fit relate tweaks and changes
● Architect benchmark docker configurations based on planned stack
● Establish uniformity of environment across developer machine to multiple production environments
● Plan & execute test automation infrastructure
● Setup automated stress testing environment
● Plan and execute logging & stack trace tools
● Review DevOps orchestration tools & choices
● Coordination with external data centers and AWS in the event of provisioning, outages or maintenance.
Requirements
● Extensive experience with AWS cloud infrastructure deployment and monitoring
● Advanced knowledge of programming languages such as Python and golang, and writing code and scripts
● Experience with Infrastructure as code & devops management tools - Terraform, Packer for devops asset management for monitoring, infrastructure cost estimations, and Infrastructure version management
● Configure and manage data sources like MySQL, MongoDB, Elasticsearch, Redis, Cassandra, Hadoop, etc
● Experience with network, infrastructure and OWASP security standards
● Experience with web server configurations - Nginx, HAProxy, SSL configurations with AWS, understanding & management of sub-domain based product rollout for clients .
● Experience with deployment and monitoring of event streaming & distributing technologies and tools - Kafka, RabbitMQ, NATS.io, socket.io
● Understanding & experience of Disaster Recovery Plan execution
● Working with other senior team members to devise and execute strategies for data backup and storage
● Be aware of current CVEs, potential attack vectors, and vulnerabilities, and apply patches as soon as possible
● Handle incident responses, troubleshooting and fixes for various services
PythonDockerKubernetesSkills Required:
- Good experience with programming language Python
- Strong experience in Docker.
- Good knowledge with any of the Cloud Platform like Azure.
- Must be comfortable working in a Linux environment.
- Must have exposure into IOT domain and its protocols ((Zigbee & BLE ,LoRa,Modbus)
- Must be a good team player.
- Strong Communication Skills
DockerKubernetesAmazon Web Services (AWS)- Hands-on knowledge on various CI-CD tools (Jenkins/TeamCity, Artifactory, UCD, Bitbucket/Github, SonarQube) including setting up of build-deployment automated pipelines.
- Very good knowledge in scripting tools and languages such as Shell, Perl or Python , YAML/Groovy, build tools such as Maven/Gradle.
- Hands-on knowledge in containerization and orchestration tools such as Docker, OpenShift and Kubernetes.
- Good knowledge in configuration management tools such as Ansible, Puppet/Chef and have worked on setting up of monitoring tools (Splunk/Geneos/New Relic/Elk).
- Expertise in job schedulers/workload automation tools such as Control-M or AutoSys is good to have.
- Hands-on knowledge on Cloud technology (preferably GCP) including various computing services and infrastructure setup using Terraform.
- Should have basic understanding on networking, certificate management, Identity and Access Management and Information security/encryption concepts.
- • Should support day-to-day tasks related to platform and environments upkeep such as upgrades, patching, migration and system/interfaces integration.
- • Should have experience in working in Agile based SDLC delivery model, multi-task and support multiple systems/apps.
- • Big-data and Hadoop ecosystem knowledge is good to have but not mandatory.
- Should have worked on standard release, change and incident management tools such as ServiceNow/Remedy or similar
DockerKubernetes
Go Programming (Golang)Striim (pronounced “stream” with two i’s for integration and intelligence) was founded in 2012 with a simple goal of helping companies make data useful the instant it’s born.
Striim’s enterprise-grade, streaming integration with intelligence platform makes it easy to build continuous, streaming data pipelines – including change data capture (CDC) – to power real-time cloud integration, log correlation, edge processing, and streaming analytics
2 - 5 Years of Experience in any Programming any language (Polyglot Preferred ) & System Operations • Awareness of Devops & Agile Methodologies • Proficient in leveraging CI and CD tools to automate testing and deployment . • Experience in working in an agile and fast paced environment . • Hands on knowledge of at least one cloud platform (AWS / GCP / Azure). • Cloud networking knowledge: should understand VPC, NATs, and routers. • Contributions to open source is a plus. • Good written communication skills are a must. Contributions to technical blogs / whitepapers will be an added advantage.
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
JenkinsKubernetesBelow is the Job details:
Role: DevOps Architect
Experience Level: 8-12 Years
Job Location: Hyderabad
Key Responsibilities :
Look through the various DevOps Tools/Technologies and identify the strengths and provide direction to the DevOps automation team
Out-of-box thought process on the DevOps Automation Platform implementation
Expose various tools and technologies and do POC on integration of the these tools
Evaluate Backend API's for various DevOps tools
Perform code reviews keep in context of RASUI
Mentor the team on the various E2E integrations
Be Liaison in evangelizing the automation solution currently implemented
Bring in various DevOps best Practices/Principles and participate in adoption with various app teams
Must have:
Should possess Bachelors/Masters in computer science with minimum of 8+ years of experience
Should possess minimum 3 years of strong experience in DevOps
Should possess expertise in using various DevOps tools libraries and API's (Jenkins/JIRA/AWX/Nexus/GitHub/BitBucket/SonarQube)
Should possess expertise in optimizing the DevOps stack ( Containers/Kubernetes/Monitoring )
2+ Experience in creating solutions and translate to the development team
Should have strong understanding of OOPs, SDLC (Agile Safe standards)
Proficient in Python , with a good knowledge of its ecosystems (IDEs and Frameworks)
Proficient in various cloud platforms (Azure/AWS/Google cloud platform)
Proficient in various DevOps offerings (Pivotal/OpenStack/Azure DevOps
Regards,
Talent acquisition team
Tetrasoft India
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Machine Learning (ML)KubernetesPythonDevOps Engineer Skills Building a scalable and highly available infrastructure for data science Knows data science project workflows Hands-on with deployment patterns for online/offline predictions (server/serverless)
Experience with either terraform or Kubernetes
Experience of ML deployment frameworks like Kubeflow, MLflow, SageMaker Working knowledge of Jenkins or similar tool Responsibilities Owns all the ML cloud infrastructure (AWS) Help builds out an entirely CI/CD ecosystem with auto-scaling Work with a testing engineer to design testing methodologies for ML APIs Ability to research & implement new technologies Help with cost optimizations of infrastructure.
Knowledge sharing Nice to Have Develop APIs for machine learning Can write Python servers for ML systems with API frameworks Understanding of task queue frameworks like Celery
Amazon Web Services (AWS)Python
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Full Stack Developer - Averlon