Subodh Popalwar
Software Engineer, Memorres
About Skarpsinne Infotech
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Amazon Web Services (AWS)We are a boutique IT services & solutions firm headquartered in the Bay Area with offices in India. Our offering includes custom-configured hybrid cloud solutions backed by our managed services. We combine best in class DevOps and IT infrastructure management practices, to manage our clients Hybrid Cloud Environments.
In addition, we build and deploy our private cloud solutions using Open stack to provide our clients with a secure, cost effective and scale able Hybrid Cloud solution. We work with start-ups as well as enterprise clients.
This is an exciting opportunity for an experienced Cloud Engineer to work on exciting projects and have an opportunity to expand their knowledge working on adjacent technologies as well.
Must have skills
• Provisioning skills on IaaS cloud computing for platforms such as AWS, Azure, GCP.
• Strong working experience in AWS space with various AWS services and implementations (i.e. VPCs, SES, EC2, S3, Route 53, Cloud Front, etc.)
• Ability to design solutions based on client requirements.
• Some experience with various network LAN/WAN appliances like (Cisco routers and ASA systems, Barracuda, Meraki, SilverPeak, Palo Alto, Fortinet, etc.)
• Understanding of networked storage like (NFS / SMB / iSCSI / Storage GW / Windows Offline)
• Linux / Windows server installation, maintenance, monitoring, data backup and recovery, security, and administration.
• Good knowledge of TCP/IP protocol & internet technologies.
• Passion for innovation and problem solving, in a start-up environment.
• Good communication skills.
Good to have
• Remote Monitoring & Management.
• Familiarity with Kubernetes and Containers.
• Exposure to DevOps automation scripts & experience with tools like Git, bash scripting, PowerShell, AWS Cloud Formation, Ansible, Chef or Puppet will be a plus.
• Architect / Practitioner certification from OEM with hands-on capabilities.
What you will be working on
• Trouble shoot and handle L2/ L3 tickets.
• Design and architect Enterprise Cloud systems and services.
• Design, Build and Maintain environments primarily in AWS using EC2, S3/Storage, CloudFront, VPC, ELB, Auto Scaling, Direct Connect, Route53, Firewall, etc.
• Build and deploy in GCP/ Azure as needed.
• Architect cloud solutions keeping performance, cost and BCP considerations in mind.
• Plan cloud migration projects as needed.
• Collaborate & work as part of a cohesive team.
• Help build our private cloud offering on Open stack.
Docker
KubernetesAmazon Web Services (AWS)Who we are :
Stanza Living is India's largest and fastest growing tech-enabled, managed accommodation company that delivers a hospitality-led living experience to migrant students and young working professionals across India. We have a full-stack business model that focuses on design, development and delivery of daily living solutions tailored to the young consumers' lifestyle. From smartly-planned residences, host of amenities and services for hassle-free living to exclusive community engagement programmes - everything is seamlessly integrated through technology to ensure the highest consumer delight.
Today, we are :
- India's largest managed accommodation company with over 75,000+ beds under management across 25+ cities
- Most capitalized player in the managed accommodation space, backed by global marquee investors - Falcon Edge, Equity International, Sequoia Capital, Matrix Partners, Accel Partners
- Recognized as the Best Real Estate Tech company across the Globe in 2020 by leading analysis agency, Tracxn
- LinkedIn Top Startup to Work for - 2019
Objectives of this role :
- Work in tandem with our engineering team to identify and implement the most optimal cloud-based solutions for the company
- Define and document best practices and strategies regarding application deployment and infrastructure maintenance
- Provide guidance, thought leadership, and mentorship to developer teams to build their cloud competencies
- Ensure application performance, uptime, and scale, maintaining high standards for code quality and thoughtful design
- Manage cloud environments in accordance with company security guidelines
Job Description :
- Excellent understanding of Cloud Platform (AWS)
- Strong knowledge on AWS Services, design, configuration on enterprise systems
- Good knowledge on Kubernetes configuration, Dockers
- Understanding the needs of the business for defining AWS system specifications
- Understand Architecture Requirements and ensure effective support activities
- Evaluation and choosing suitable AWS Service or and suggesting methods for integration
- Overseeing assigned programs and guiding the team members
- Providing assistance when technical problems arise
- Making sure the agreed infrastructure and architecture are implemented
- Addressing the technical concerns, suggestions, and ideas
- Configure Monitoring systems to make sure they meet business goals as well as user requirements
- Excellent knowledge of AWS IaaS Layer
- Ability to lead & implement PS workloads or POCs
- Ensure continual knowledge management
KubernetesDockerAmazon Web Services (AWS)About us:
HappyFox is a software-as-a-service (SaaS) support platform. We offer an enterprise-grade help desk ticketing system and intuitively designed live chat software.
We serve over 12,000 companies in 70+ countries. HappyFox is used by companies that span across education, media, e-commerce, retail, information technology, manufacturing, non-profit, government and many other verticals that have an internal or external support function.
To know more, Visit! - https://www.happyfox.com/
Responsibilities:
- Build and scale production infrastructure in AWS for the HappyFox platform and its products.
- Research, Build/Implement systems, services and tooling to improve uptime, reliability and maintainability of our backend infrastructure. And to meet our internal SLOs and customer-facing SLAs.
- Proficient in managing/patching servers with Unix-based operating systems like Ubuntu Linux.
- Proficient in writing automation scripts or building infrastructure tools using Python/Ruby/Bash/Golang
- Implement consistent observability, deployment and IaC setups
- Patch production systems to fix security/performance issues
- Actively respond to escalations/incidents in the production environment from customers or the support team
- Mentor other Infrastructure engineers, review their work and continuously ship improvements to production infrastructure.
- Build and manage development infrastructure, and CI/CD pipelines for our teams to ship & test code faster.
- Participate in infrastructure security audits
Requirements:
- At least 5 years of experience in handling/building Production environments in AWS.
- At least 2 years of programming experience in building API/backend services for customer-facing applications in production.
- Demonstrable knowledge of TCP/IP, HTTP and DNS fundamentals.
- Experience in deploying and managing production Python/NodeJS/Golang applications to AWS EC2, ECS or EKS.
- Proficient in containerised environments such as Docker, Docker Compose, Kubernetes
- Proficient in managing/patching servers with Unix-based operating systems like Ubuntu Linux.
- Proficient in writing automation scripts using any scripting language such as Python, Ruby, Bash etc.,
- Experience in setting up and managing test/staging environments, and CI/CD pipelines.
- Experience in IaC tools such as Terraform or AWS CDK
- Passion for making systems reliable, maintainable, scalable and secure.
- Excellent verbal and written communication skills to address, escalate and express technical ideas clearly
- Bonus points – if you have experience with Nginx, Postgres, Redis, and Mongo systems in production.
KubernetesDockerAmazon Web Services (AWS)Experience and Education
• Bachelor’s degree in engineering or equivalent.
Work experience
• 4+ years of infrastructure and operations management
Experience at a global scale.
• 4+ years of experience in operations management, including monitoring, configuration management, automation, backup, and recovery.
• Broad experience in the data center, networking, storage, server, Linux, and cloud technologies.
• Broad knowledge of release engineering: build, integration, deployment, and provisioning, including familiarity with different upgrade models.
• Demonstratable experience with executing, or being involved of, a complete end-to-end project lifecycle.
Skills
• Excellent communication and teamwork skills – both oral and written.
• Skilled at collaborating effectively with both Operations and Engineering teams.
• Process and documentation oriented.
• Attention to details. Excellent problem-solving skills.
• Ability to simplify complex situations and lead calmly through periods of crisis.
• Experience implementing and optimizing operational processes.
• Ability to lead small teams: provide technical direction, prioritize tasks to achieve goals, identify dependencies, report on progress.
Technical Skills
• Strong fluency in Linux environments is a must.
• Good SQL skills.
• Demonstratable scripting/programming skills (bash, python, ruby, or go) and the ability to develop custom tool integrations between multiple systems using their published API’s / CLI’s.
• L3, load balancer, routing, and VPN configuration.
• Kubernetes configuration and management.
• Expertise using version control systems such as Git.
• Configuration and maintenance of database technologies such as Cassandra, MariaDB, Elastic.
• Designing and configuration of open-source monitoring systems such as Nagios, Grafana, or Prometheus.
• Designing and configuration of log pipeline technologies such as ELK (Elastic Search Logstash Kibana), FluentD, GROK, rsyslog, Google Stackdriver.
• Using and writing modules for Infrastructure as Code tools such as Ansible, Terraform, helm, customize.
• Strong understanding of virtualization and containerization technologies such as VMware, Docker, and Kubernetes.
• Specific experience with Google Cloud Platform or Amazon EC2 deployments and virtual machines.c
- Azure Data Factory, Azure Data Bricks, Talend, BODS, Jenkins
- Microsoft Office (mandatory)
- Strong knowledge on Databases, Azure Synapse, data management, SQL
- Knowledge on any cloud platforms (Azure, AWS etc.,)
Amazon Web Services (AWS)- AWS Cloud, CICD, Serverless setups, Monitoring Setup
- Performance setup, scalability in hands experience, Linux expertise, DevOps Operations
- AWS Cloud, CICD, Serverless setups, Monitoring Setup, Performance setup, scalability in hands experience, Linux expertise, DevOps Operations.
DockerAmazon Web Services (AWS)Location – Pune
Experience - 1.5 to 3 YR
Payroll: Direct with Client
Salary Range: 3 to 5 Lacs (depending on existing)
Role and Responsibility
• Good understanding and Experience on AWS CloudWatch for ES2, Amazon Web Services, and Resources, and other sources.
• Collect and Store logs
• Monitor and Store Logs
• Log Analyze
• Configure Alarm
• Configure Dashboard
• Preparation and following of SOP's, Documentation.
• Good understanding AWS in DevOps.
• Experience with AWS services ( EC2, ECS, CloudWatch, VPC, Networking )
• Experience with a variety of infrastructure, application, and log monitoring tools ~ Prometheus, Grafana,
• Familiarity with Docker, Linux, and Linux security
• Knowledge and experience with container-based architectures like Docker
• Experience on performing troubleshooting on AWS service.
• Experience in configuring services in AWS like EC2, S3, ECS
• Experience with Linux system administration and engineering skills on Cloud infrastructure
• Knowledge of Load Balancers, Firewalls, and network switching components
• Knowledge of Internet-based technologies - TCP/IP, DNS, HTTP, SMTP & Networking concepts
• Knowledge of security best practices
• Comfortable 24x7 supporting Production environments
• Strong communication skills
Machine Learning (ML)Kubernetes
PythonDevOps 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
AngularJS (1.x)Docker
Go Programming (Golang)Python
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Software Engineer, Memorres