Docker
Kubernetes
Amazon Web Services (AWS)Position: DevOps Engineer / Senior DevOps Engineer
Experience: 3 to 6 Years
Key Skills: AWS, Terraform, Docker, Kubernetes, DevSecOps pipeline
Job Description:
- AWS Infrastructure: Architect, deploy, and manage AWS services like EC2, S3, RDS, Lambda, SageMaker, API Gateway, and VPC.
- Networking: Proficient in subnetting, endpoints, NACL, security groups, VPC flow logs, and routing.
- API Management: Design and manage secure, scalable APIs using AWS API Gateway.
- CI/CD Pipelines: Build and maintain CI/CD pipelines with AWS CodePipeline, CodeBuild, and CodeDeploy.
- Automation & IaC: Use Terraform and CloudFormation for automating infrastructure management.
- Containerization & Kubernetes: Expertise in Docker, Kubernetes, and managing containerized deployments.
- Monitoring & Logging: Implement monitoring with AWS CloudWatch, CloudTrail, and other tools.
- Security: Apply AWS security best practices using IAM, KMS, Secrets Manager, and GuardDuty.
- Cost Management: Monitor and optimize AWS usage and costs.
- Collaboration: Partner with development, QA, and operations teams to enhance productivity and system reliability.
Shubham Vishwakarma
Full Stack Developer - Averlon
About NeoGenCode Technologies Pvt Ltd
About
Welcome to Neogencode Technologies, an IT services and consulting firm that provides innovative solutions to help businesses achieve their goals. Our team of experienced professionals is committed to providing tailored services to meet the specific needs of each client. Our comprehensive range of services includes software development, web design and development, mobile app development, cloud computing, cybersecurity, digital marketing, and skilled resource acquisition. We specialize in helping our clients find the right skilled resources to meet their unique business needs. At Neogencode Technologies, we prioritize communication and collaboration with our clients, striving to understand their unique challenges and provide customized solutions that exceed their expectations. We value long-term partnerships with our clients and are committed to delivering exceptional service at every stage of the engagement. Whether you are a small business looking to improve your processes or a large enterprise seeking to stay ahead of the competition, Neogencode Technologies has the expertise and experience to help you succeed. Contact us today to learn more about how we can support your business growth and provide skilled resources to meet your business needs.
Candid answers by the company
IT & Engineering Talent Staffing
- Provides full-time and contract-based hiring, delivering handpicked, pre‑screened developers across tech stacks—ranging from web, mobile, AI/ML, Web3/blockchain.
- Maintains a bench o vetted candidates, offering fast delivery of interview-ready profiles—often within 24 hours.
- Offers payroll management, handling compliance, tax, attendance, and documentation for both contractors and full-time employees.
2. End-to-End Project Delivery
- Delivers full-stack development solutions: web, mobile, cloud, AI/ML, Blockchain/Web3.
- Manages entire project lifecycle—requirements gathering, design (UI/UX), development, deployment, and ongoing support .
3. Additional Offerings
- Expands into cybersecurity consulting, digital marketing, and cloud platform services (like AWS, GCP, Azure) .
- Provides strategic IT consulting to align technology solutions with business objectives
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grafanaAbout PGAGI:
At PGAGI, we believe in a future where AI and human intelligence coexist in harmony, creating a world that is smarter, faster, and better. We are not just building AI; we are shaping a future where AI is a fundamental and positive force for businesses, societies, and the planet.
Position Overview:
PGAGI Consultancy Pvt. Ltd. is seeking a proactive and motivated DevOps Intern with around 3-6 months of hands-on experience to support our AI model deployment and infrastructure initiatives. This role is ideal for someone looking to deepen their expertise in DevOps practices tailored to AI/ML environments, including CI/CD automation, cloud infrastructure, containerization, and monitoring.
Key Responsibilities:
AI Model Deployment & Integration
- Assist in containerizing and deploying AI/ML models into production using Docker.
- Support integration of models into existing systems and APIs.
Infrastructure Management
- Help manage cloud and on-premise environments to ensure scalability and consistency.
- Work with Kubernetes for orchestration and environment scaling.
CI/CD Pipeline Automation
- Collaborate on building and maintaining automated CI/CD pipelines (e.g., GitHub Actions, Jenkins).
- Implement basic automated testing and rollback mechanisms.
Hosting & Web Environment Management
- Assist in managing hosting platforms, web servers, and CDN configurations.
- Support DNS, load balancer setups, and ensure high availability of web services.
Monitoring, Logging & Optimization
- Set up and maintain monitoring/logging tools like Prometheus and Grafana.
- Participate in troubleshooting and resolving performance bottlenecks.
Security & Compliance
- Apply basic DevSecOps practices including security scans and access control implementations.
- Follow security and compliance checklists under supervision.
Cost & Resource Management
- Monitor resource usage and suggest cost optimization strategies in cloud environments.
Documentation
- Maintain accurate documentation for deployment processes and incident responses.
Continuous Learning & Innovation
- Suggest improvements to workflows and tools.
- Stay updated with the latest DevOps and AI infrastructure trends.
Requirements:
- Around 6 months of experience in a DevOps or related technical role (internship or professional).
- Basic understanding of Docker, Kubernetes, and CI/CD tools like GitHub Actions or Jenkins.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and monitoring tools (e.g., Prometheus, Grafana).
- Exposure to scripting languages (e.g., Bash, Python) is a plus.
- Strong problem-solving skills and eagerness to learn.
- Good communication and documentation abilities.
Compensation
- Joining Bonus: INR 2,500 one-time bonus upon joining.
- Monthly Stipend: Base stipend of INR 8,000 per month, with the potential to increase up to INR 20,000 based on performance evaluations.
- Performance-Based Pay Scale: Eligibility for monthly performance-based bonuses, rewarding exceptional project contributions and teamwork.
- Additional Benefits: Access to professional development opportunities, including workshops, tech talks, and mentoring sessions.
Ready to kick-start your DevOps journey in a dynamic AI-driven environment? Apply now
#Devops #Docker #Kubernetes #DevOpsIntern
DockerKubernetesAmazon Web Services (AWS)Skills We Require:- Dev Ops, AWS Admin, terraform, Infrastructure as a Code
SUMMARY:-
- Implement integrations requested by customers
- Deploy updates and fixes
- Provide Level 2 technical support
- Build tools to reduce occurrences of errors and improve customer experience
- Develop software to integrate with internal back-end systems
- Perform root cause analysis for production errors
- Investigate and resolve technical issues
- Develop scripts to automate visualization
- Design procedures for system troubleshooting and maintenance
Have good hands on experience on Dev Ops, AWS Admin, terraform, Infrastructure as a Code
Have knowledge on EC2, Lambda, S3, ELB, VPC, IAM, Cloud Watch, Centos, Server Hardening
Ability to understand business requirements and translate them into technical requirements
A knack for benchmarking and optimization
DockerKubernetesAmazon Web Services (AWS)Position Overview: We are seeking a talented and experienced Cloud Engineer specialized in AWS cloud services to join our dynamic team. The ideal candidate will have a strong background in AWS infrastructure and services, including EC2, Elastic Load Balancing (ELB), Auto Scaling, S3, VPC, RDS, CloudFormation, CloudFront, Route 53, AWS Certificate Manager (ACM), and Terraform for Infrastructure as Code (IaC). Experience with other AWS services is a plus.
Responsibilities:
• Design, deploy, and maintain AWS infrastructure solutions, ensuring scalability, reliability, and security.
• Configure and manage EC2 instances to meet application requirements.
• Implement and manage Elastic Load Balancers (ELB) to distribute incoming traffic across multiple instances.
• Set up and manage AWS Auto Scaling to dynamically adjust resources based on demand.
• Configure and maintain VPCs, including subnets, route tables, and security groups, to control network traffic.
• Deploy and manage AWS CloudFormation and Terraform templates to automate infrastructure provisioning using Infrastructure as Code (IaC) principles.
• Implement and monitor S3 storage solutions for secure and scalable data storage
• Set up and manage CloudFront distributions for content delivery with low latency and high transfer speeds.
• Configure Route 53 for domain management, DNS routing, and failover configurations.
• Manage AWS Certificate Manager (ACM) for provisioning, managing, and deploying SSL/TLS certificates.
• Collaborate with cross-functional teams to understand business requirements and provide effective cloud solutions.
• Stay updated with the latest AWS technologies and best practices to drive continuous improvement.
Qualifications:
• Bachelor's degree in computer science, Information Technology, or a related field.
• Minimum of 2 years of relevant experience in designing, deploying, and managing AWS cloud solutions.
• Strong proficiency in AWS services such as EC2, ELB, Auto Scaling, VPC, S3, RDS, and CloudFormation.
• Experience with other AWS services such as Lambda, ECS, EKS, and DynamoDB is a plus.
• Solid understanding of cloud computing principles, including IaaS, PaaS, and SaaS.
• Excellent problem-solving skills and the ability to troubleshoot complex issues in a cloud environment.
• Strong communication skills with the ability to collaborate effectively with cross-functional teams.
• Relevant AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer, etc.) are highly desirable.
Additional Information:
• We value creativity, innovation, and a proactive approach to problem-solving.
• We offer a collaborative and supportive work environment where your ideas and contributions are valued.
• Opportunities for professional growth and development. Someshwara Software Pvt Ltd is an equal opportunity employer.
We celebrate diversity and are dedicated to creating an inclusive environment for all employees.
PythonAmazon Web Services (AWS)Position- Cloud and Infrastructure Automation Consultant
Location- India(Pan India)-Work from Home
The position:
This exciting role in Ashnik’s consulting team brings great opportunity to design and deploy automation solutions for Ashnik’s enterprise customers spread across SEA and India. This role takes a lead in consulting the customers for automation of cloud and datacentre based resources. You will work hands-on with your team focusing on infrastructure solutions and to automate infrastructure deployments that are secure and compliant. You will provide implementation oversight of solutions to over the challenges of technology and business.
Responsibilities:
· To lead the consultative discussions to identify challenges for the customers and suggest right fit open source tools
· Independently determine the needs of the customer and create solution frameworks
· Design and develop moderately complex software solutions to meet needs
· Use a process-driven approach in designing and developing solutions.
· To create consulting work packages, detailed SOWs and assist sales team to position them to enterprise customers
· To be responsible for implementation of automation recipes (Ansible/CHEF) and scripts (Ruby, PowerShell, Python) as part of an automated installation/deployment process
Experience and skills required :
· 8 to 10 year of experience in IT infrastructure
· Proven technical skill in designing and delivering of enterprise level solution involving integration of complex technologies
· 6+ years of experience with RHEL/windows system automation
· 4+ years of experience using Python and/or Bash scripting to solve and automate common system tasks
· Strong understanding and knowledge of networking architecture
· Experience with Sentinel Policy as Code
· Strong understanding of AWS and Azure infrastructure
· Experience deploying and utilizing automation tools such as Terraform, CloudFormation, CI/CD pipelines, Jenkins, Github Actions
· Experience with Hashicorp Configuration Language (HCL) for module & policy development
· Knowledge of cloud tools including CloudFormation, CloudWatch, Control Tower, CloudTrail and IAM is desirable
This role requires high degree of self-initiative, working with diversified teams and working with customers spread across Southeast Asia and India region. This role requires you to be pro-active in communicating with customers and internal teams about industry trends, technology development and creating thought leadership.
About Us
Ashnik is a leading enterprise open-source solutions company in Southeast Asia and India, enabling organizations to adopt open source for their digital transformation goals. Founded in 2009, it offers a full-fledged Open-Source Marketplace, Solutions, and Services – Consulting, Managed, Technical, Training. Over 200 leading enterprises so far have leveraged Ashnik’s offerings in the space of Database platforms, DevOps & Microservices, Kubernetes, Cloud, and Analytics.
As a team culture, Ashnik is a family for its team members. Each member brings in a different perspective, new ideas and diverse background. Yet we all together strive for one goal – to deliver the best solutions to our customers using open-source software. We passionately believe in the power of collaboration. Through an open platform of idea exchange, we create a vibrant environment for growth and excellence.
Package : upto 20L
Experience: 8 yrs
DockerKubernetesPython
JenkinsDockerKubernetesAmazon Web Services (AWS)The ideal person for the role will:
Possess a keen mind for solving tough problems by partnering effectively with various teams and stakeholders
Be comfortable working in a fast-paced, dynamic, and agile framework
Focus on implementing an end-to-end automated chain
Responsibilities
_____________________________________________________
Strengthen the application and environment security by applying standards and best practices and providing tooling to make development workflows more secure
Identify systems that can benefit from automation, monitoring and infrastructure-as-code and develop and scale products and services accordingly.
Implement sophisticated alerts and escalation mechanisms using automated processes
Help increase production system performance with a focus on high availability and scalability
Continue to keep the lights on (day-to-day administration)
Programmatically create infrastructure in AWS, leveraging Autoscaling Groups, Security Groups, Route53, S3 and IAM with Terraform and Ansible.
Enable our product development team to deliver new code daily through Continuous Integration and Deployment Pipelines.
Create a secure production infrastructure and protect our customer data with continuous security practices and monitoring. Design, develop and scale infrastructure-as-code
Establish SLAs for service uptime, and build the necessary telemetry and alerting platforms to enforce them
Architect and build continuous data pipelines for data lakes, Business Intelligence and AI practices of the company
Remain up to date on industry trends, share knowledge among teams and abide by industry best practices for configuration management and automation.
Qualifications and Background
_______________________________________________________
Graduate degree in Computer Science and Engineering or related technologies
Work or research project experience of 5-7 years, with a minimum of 3 years of experience directly related to the job description
Prior experience working in HIPAA / Hi-Trust frameworks will be given preference
About Witmer Health
_________________________________________________________
We exist to make mental healthcare more accessible, affordable, and effective. At Witmer, we are on a mission to build a research-driven, global mental healthcare company to work on developing novel solutions - by harnessing the power of AI/ML and data science - for a range of mental illnesses like depression, anxiety, OCD, and schizophrenia, among others. Our first foray will be in the space of workspace wellness, where we are building tools to help individual employees and companies improve their mental wellness and raise productivity levels.
DockerKubernetesAmazon Web Services (AWS)
Hands on experience in:
- Deploying, managing, securing and patching enterprise applications on large scale in Cloud preferably AWS.
- Experience leading End-to-end DevOps projects with modern tools encompassing both Applications and Infrastructure
- AWS Code deploy, Code build, Jenkins, Sonarqube.
- Incident management and root cause analysis.
- Strong understanding of immutable infrastructure and infrastructure as code concepts. Participate in capacity planning and provisioning of new resources. Importing already deployed infra into IaaC.
- Utilizing AWS cloud services such as EC2, S3, IAM, Route53, RDS, VPC, NAT/IG Gateway, LAMBDA, Load Balancers, CloudWatch, API Gateway are some of them.
- AWS ECS managing multi cluster container environments (ECS with EC2 and Fargate with service discovery using Route53)
- Monitoring/analytics tools like Nagios/DataDog and logging tools like LogStash/SumoLogic
- Simple Notification Service (SNS)
- Version Control System: Git, Gitlab, Bitbucket
- Participate in Security Audit of Cloud Infrastructure.
- Exceptional documentation and communication skills.
- Ready to work in Shift
- Knowledge of Akamai is Plus.
- Microsoft Azure is Plus
- Adobe AEM is plus.
- AWS Certified DevOps Professional is plus
KubernetesDockerAmazon Web Services (AWS)Requirements:
- Experience of managing Engineering teams in an Agile environment.
- Expert knowledge of delivering solutions in Azure cloud within a large-scale enterprise environment.
- Great understanding of DevOps principles and how they assist in taking products to market in an effective manner.
- Experience of Automation/Configuration management tools as well as working in a continuous delivery environment, monitoring and tooling.
- Knowledge and experience in Azure, Kubernetes, Containerisation, Azure DevOps pipelines.
- Experience in managing permissions in Azure DevOps.
- Working experience in Application Gateways, App Services, Front-Door, Azure Service Bus, etc.
- Troubleshooting experience in virtual/cloud infrastructures.
- Experience in delivery of projects using IAC (Infrastructure as Code).
Amazon Web Services (AWS)KubernetesDockerGoodera is looking for an experienced and motivated DevOps professional to be an integral part of its core infrastructure team. As a DevOps Engineer, you must be able to troubleshoot production issues, design, implement, and deploy monitoring tools, collaborate with team members to improve the existing and develop new engineering tools, optimize company's computing architecture, design and conduct security, performance, availability and availability tests.
Responsibilities:
This is a highly accountable role and the candidate must meet the following professional expectations:
• Owning and improving the scalability and reliability of our products.
• Working directly with product engineering and infrastructure teams.
• Designing and developing various monitoring system tools.
• Accountable for developing deployment strategies and build configuration management.
• Deploying and updating system and application software.
• Ensure regular, effective communication with team members and cross-functional resources.
• Maintaining a positive and supportive work culture.
• First point of contact for handling customer (may be internal stakeholders) issues, providing guidance and recommendations to increase efficiency and reduce customer incidents.
• Develop tooling and processes to drive and improve customer experience, create playbooks.
• Eliminate manual tasks via configuration management.
• Intelligently migrate services from one AWS region to other AWS regions.
• Create, implement and maintain security policies to ensure ISO/ GDPR / SOC / PCI compliance.
• Verify infrastructure Automation meets compliance goals and is current with disaster recovery plan.
• Evangelize configuration management and automation to other product developers.
• Keep himself updated with upcoming technologies to maintain the state of the art infrastructure.
Required Candidate profile :
• 3+ years of proven experience working in a DevOps environment.
• 3+ years of proven experience working in AWS Cloud environments.
• Solid understanding of networking and security best practices.
• Experience with infrastructure-as-code frameworks such as Ansible, Terraform, Chef, Puppet, CFEngine, etc.
• Experience in scripting or programming languages (Bash, Python, PHP, Node.js, Perl, etc.)
• Experience designing and building web application environments on AWS, including services such as ECS, ECR, Foregate, Lambda, SNS / SQS, CloudFront, Code Build, Code pipeline, Configuring CloudWatch, WAF, Active Directories, Kubernetes (EKS), EC2, S3, ELB, RDS, Redshift etc.
• Hands on Experience in Docker is a big plus.
• Experience working in an Agile, fast paced, DevOps environment.
• Strong Knowledge in DB such as MongoDB / MySQL / DynamoDB / Redis / Cassandra.
• Experience with Open Source and tools such as Haproxy, Apache, Nginx and Nagios etc.
• Fluency with version control systems with a preference for Git *
• Strong Linux-based infrastructures, Linux administration
• Experience with installing and configuring application servers such as WebLogic, JBoss and Tomcat.
• Hands-on in logging, monitoring and alerting tools like ELK, Grafana, Metabase, Monit, Zbbix etc.
• A team player capable of high performance, flexibility in a dynamic working environment and the ability to lead.
d ability to rain others on technical and procedural topics.
DockerKubernetes1. Should have worked with AWS, Dockers and Kubernetes.
2. Should have worked with a scripting language.
3. Should know how to monitor system performance, CPU, Memory.
4. Should be able to do troubleshooting.
5. Should have knowledge of automated deployment
6. Proficient in one programming knowledge - python preferred.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon