Docker
Kubernetes
Amazon Web Services (AWS)
Python
JenkinsJob description
The role requires you to design development pipelines from the ground up, Creation of Docker Files, 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.
Requirement
- 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 cloudformation 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(Ngios or similar), IaC(Terraform, cloudformation).
Shubham Vishwakarma
Full Stack Developer - Averlon
About MyOperator - VoiceTree Technologies
About
MyOperator is a Business AI Operator and a category leader that unifies WhatsApp, Calls, and AI-powered chat & voice bots into one intelligent business communication platform.
Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single no-code platform.
Trusted by 12,000+ brands including Amazon, Domino's, Apollo, and Razorpay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement.
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Experience : 5+ Years
Location : Remote | Full-time
Role Overview :
We’re looking for a technical, client-facing ERP/OMS Integrations Engineer to lead end-to-end implementation of order management systems for e-commerce clients. You’ll handle requirements gathering, system configuration, data flow mapping, integration, testing, and client training.
Mandatory Skills :
OMS/ERP integration (e.g., NetSuite, Skubana), e-commerce platforms (Shopify, Amazon), REST APIs & JSON, data flow mapping, troubleshooting, project management, and client-facing software implementation experience (5+ years).
Key Responsibilities :
- Lead OMS/ERP implementation projects.
- Integrate systems across e-commerce, warehouse, and accounting platforms.
- Troubleshoot data/integration issues.
- Collaborate with internal and external technical teams.
- Train clients and ensure successful onboarding.
Must-Have Skills :
- 5+ years in software implementation (client-facing preferred).
- Experience with OMS/ERP tools (e.g. NetSuite, Skubana, Brightpearl).
- Hands-on with e-commerce platforms (e.g. Shopify, Amazon Seller Central).
- Strong knowledge of REST APIs, JSON.
- Excellent communication & project management skills.
Nice to Have :
- Scripting (Python/JavaScript/SQL)
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- Background in supply chain or logistics.
PythonJob Summary
The Technical Lead will be responsible for overseeing and leading projects related to Azure Data Factory (ADF), Azure Databricks, SQL, Oracle PL/SQL, and Python. The role involves designing, developing, and implementing data solutions while ensuring they meet the business requirements and align with best practices. (1.) Key Responsibilities
1. Lead and manage end-to-end data engineering projects using azure data factory, azure databricks, sql, oracle pl/sql, and python.
2. Collaborate with stakeholders to gather and understand requirements for data pipelines and analytics solutions.
3. Design and develop etl processes, data models, and data integration solutions.
4. Provide technical guidance and mentorship to the team members.
5. Ensure data quality, data governance, and data security standards are maintained throughout the project lifecycle.
6. Troubleshoot and optimize data pipelines and processes for performance and efficiency.
7. Stay updated on the latest trends and technologies in data engineering and contribute to continuous improvement efforts.
Skill Requirements
1. Proficiency in azure data factory (adf) and azure databricks for building and managing data pipelines.
2. Strong experience with sql and oracle pl/sql for data querying and manipulation.
3. Advanced programming skills in python for scripting and data processing tasks.
4. Knowledge of data modeling, data warehousing concepts, and database design principles.
5. Ability to work in a collaborative team environment and communicate effectively with stakeholders.
6. Strong analytical and problem-solving skills with attention to detail.
7. Experience in data visualization tools and techniques is a plus.
Certifications: Relevant certifications in Azure Data Factory, Azure Databricks, SQL, Oracle PL/SQL, or Python are advantageous.
Skill (Primary)
Data Fabric-Azure-Azure Data Factory (ADF)
Amazon Web Services (AWS)KubernetesAbout the Role:
We are looking for a skilled AWS DevOps Engineer to join our Cloud Operations team in Bangalore. This hybrid role is ideal for someone with hands-on experience in AWS and a strong background in application migration from on-premises to cloud environments. You'll play a key role in driving cloud adoption, optimizing infrastructure, and ensuring seamless cloud operations.
Key Responsibilities:
- Manage and maintain AWS cloud infrastructure and services.
- Lead and support application migration projects from on-prem to cloud.
- Automate infrastructure provisioning using Infrastructure as Code (IaC) tools.
- Monitor cloud environments and optimize cost, performance, and reliability.
- Collaborate with development, operations, and security teams to implement DevOps best practices.
- Troubleshoot and resolve infrastructure and deployment issues.
Required Skills:
- 3–5 years of experience in AWS cloud environment.
- Proven experience with on-premises to cloud application migration.
- Strong understanding of AWS core services (EC2, VPC, S3, IAM, RDS, etc.).
- Solid scripting skills (Python, Bash, or similar).
Good to Have:
- Experience with Terraform for Infrastructure as Code.
- Familiarity with Kubernetes for container orchestration.
- Exposure to CI/CD tools like Jenkins, GitLab, or AWS CodePipeline.
DockerKubernetesAmazon Web Services (AWS)Experience: 3+ years of experience in Cloud Architecture
About Company:
The company is a global leader in secure payments and trusted transactions. They are at the forefront of the digital revolution that is shaping new ways of paying, living, doing business and building relationships that pass on trust along the entire payments value chain, enabling sustainable economic growth. Their innovative solutions, rooted in a rock-solid technological base, are environmentally friendly, widely accessible and support social transformation.
Cloud Architect / Lead
- Role Overview
- Senior Engineer with a strong background and experience in cloud related technologies and architectures. Can design target cloud architectures to transform existing architectures together with the in-house team. Can actively hands-on configure and build cloud architectures and guide others.
- Key Knowledge
- 3-5+ years of experience in AWS/GCP or Azure technologies
- Is likely certified on one or more of the major cloud platforms
- Strong experience from hands-on work with technologies such as Terraform, K8S, Docker and orchestration of containers.
- Ability to guide and lead internal agile teams on cloud technology
- Background from the financial services industry or similar critical operational experience
KubernetesDockerAmazon Web Services (AWS)- Understanding customer requirements and project KPIs
- Implementing various development, testing, automation tools, and IT infrastructure
- Planning the team structure, activities, and involvement in project management activities.
- Managing stakeholders and external interfaces
- Setting up tools and required infrastructure
- Defining and setting development, test, release, update, and support processes for DevOps operation
- Have the technical skill to review, verify, and validate the software code developed in the project.
- Troubleshooting techniques and fixing the code bugs
- Monitoring the processes during the entire lifecycle for its adherence and updating or creating new processes for improvement and minimizing the wastage
- Encouraging and building automated processes wherever possible
- Identifying and deploying cybersecurity measures by continuously performing vulnerability assessment and risk management
- Incidence management and root cause analysis
- Coordination and communication within the team and with customers
- Selecting and deploying appropriate CI/CD tools
- Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
- Mentoring and guiding the team members
- Monitoring and measuring customer experience and KPIs
- Managing periodic reporting on the progress to the management and the customer
KubernetesDockerAmazon Web Services (AWS)● Bachelor Degree or 5+ years of professional or experience.
● 2+ years of hands-on experience of programming in languages such as Python, Ruby,
Go, Swift, Java, .Net, C++ or similar object-oriented language.
● Experience with automating cloud native technologies, deploying applications, and
provisioning infrastructure.
● Hands-on experience with Infrastructure as Code, using CloudFormation, Terraform, or
other tools.
● Experience developing cloud native CI/CD workflows and tools, such as Jenkins,
Bamboo, TeamCity, Code Deploy (AWS) and/or GitLab.
● Hands-on experience with microservices and distributed application architecture, such
as containers, Kubernetes, and/or serverless technology.
● Hands-on experience in building/managing data pipelines, reporting & analytics.
● Experience with the full software development lifecycle and delivery using Agile
practices.
● Preferable (bonus points if you know these):
○ AWS cloud management
○ Kafka
○ Databricks
○ Gitlab CI/CD hooks
○ Python notebooks
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)- Experience working in advanced iterative methodologies such as Agile and Safe.
- Experience with containers and orchestration (Docker, Kubernetes).
- Comfortable working in complex and demanding environments with high degree of change.
- Ability to view system perspective and to perform thorough investigations.
- Experience in frequent delivery to production.
- Microservice-based architecture (Jenkins, Docker, CI/CD, ELK)
- Experience with modern software components (Mongo, Elasticsearch, Kafka).
- Expertise in software development methodologies.
- Understanding of protocols/technologies like HTTP, SSL, LDAP, SSH, SAML, etc.
- Possession of a deep knowledge of development workflows with Git.
- Experience with MySQL or another relational database Environment.
- Automation testing (component, integration and end2end)
Amazon Web Services (AWS)What will you do?
- Setup, manage Applications with automation, DevOps, and CI/CD tools.
- Deploy, Maintain and Monitor Infrastructure and Services.
- Automate code and Infra Deployments.
- Tune, optimize and keep systems up to date.
- Design and implement deployment strategies.
- Setup infrastructure in cloud platforms like AWS, Azure, Google Cloud, IBM cloud, Digital Ocean etc as per requirement.
KubernetesEXP:: 4 - 7 yrs
- Any scripting language:: Python, Scala, shell or bash
- Cloud:: AWS
- Database:: Relational (SQL) & non-relational (NoSQL)
- CI/CD tools and Version controlling
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon