
Site Reliability Engineer
at A startup company providing AI based software platforms

Who You Are
- Creative thinker and strong problem solver with meticulous attention to detail
- Highly organized, creative, motivated, and passionate about achieving results
- Able to balance multiple tasks and projects effectively and quickly adapt to new situations and technologies
- Able to work both independently and as part of a team
- Systematic problem-solver, coupled with a strong sense of ownership and drive
What you need
- 3-7 years of experience as a Site Reliability Engineer or a mix of a software engineer and DevOps.
- Strong hands-on knowledge of Linux fundamentals, System administration scripting, performance tuning/scalability, troubleshooting.
- Write great quality code using SOLID principles including unit and integration tests.
- Hands-on development experience in an object-orientated programming language like Python.
- Hands-on experience developing task automations
- Experience using tools to create and manage CI (continuous integration) and CD (continuous delivery) pipelines.
- Familiarity with software development tools: source code management (SCM systems), code review systems, issue tracking tools, build tools, test frameworks, code quality tools.
- Experience implementing open-source observability and alerting tools, like Prometheus, Grafana, Cortex, Thanos, Alertmanager etc
- Have decent knowledge on networking (VPC, VNet, DNS etc) and of the TCP/IP stack, internet routing and load balancing.
- Worked with log and configuration management tool
- Prior experience of working with AWS, Azure, GCP is a plus
- Prior experience of working with Kubernetes, Docker and containers is plus
- Strong interpersonal communication skills (including listening, speaking, and writing) and ability to work well in a diverse, team-focused environment with other SREs, Engineers, Product Managers, etc.
- Documenting your work should be in your DNA
What you get
- A chance to develop and build something (probably from scratch) which you can be proud of
- Build and Implement modern systems observability solutions including monitoring, alerting, metrics, logging, and APM & distributed tracing.
- Scale systems sustainably through automation and evolve systems by pushing for changes that improve reliability and velocity.
- Maintain business continuity by identifying and driving opportunities to make systems highly resilient and human-free.
- Closely work with the software engineering team to ensure accurate monitoring and metrics are being built into applications before going to production.
- Develop and maintain software modules for use and re-use in cloud and on-premise systems automation.
- Identify process gaps and implement process improvements to increase operational reliability
- Drive standardization efforts across the services, infrastructure, systems, and practices
- Develop Systems & Tools to help with Development team to uphold the Reliability principles

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Bachelor’s or master’s degree in Computer Engineering, Computer Science, Computer Applications, Mathematics, Statistics or related technical field or equivalent practical experience. Relevant experience of at least 3 years in lieu of above if from a different stream of education.
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Well-versed in and 5+ years of hands-on demonstrable experience with:
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▪ Relational, Document, & Graph Data Modeling, Design, & Implementation -
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5+ years of hands-on development experience in Java programming.
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3+ years of hands-on development experience in one or more libraries & frameworks such as Spring Boot, Apache Camel, Akka, etc.;
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2+ years of hands-on development experience in one or more technologies such as Amazon Simple Queue Service, Amazon Kinesis, Apache Kafka, AWS Lambda, AWS Batch, AWS Glue, AWS Step Functions, Amazon API Gateway, etc.
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2+ years of hands-on development experience in one or more technologies such as AWS Developer Tools, AWS Management & Governance, AWS Networking and Content Delivery, AWS Security, Identity, and Compliance, etc.
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Well-versed in Virtualization & Containerization; must demonstrate experience in technologies such as Kubernetes, Istio, Docker, OpenShift, Anthos, Oracle VirtualBox, Vagrant, etc.
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Well-versed with demonstrable working experience with API Management, API Gateway, Service Mesh, Identity & Access Management, Data Protection & Encryption.
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Hands-on experience with demonstrable working experience with DevOps tools and platforms viz., Jira, GIT, Jenkins, Code Quality & Security Plugins, Maven, Artifactory, Terraform, Ansible/Chef/Puppet, Spinnaker, etc.
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Well-versed with Storage, Networks and Storage Networking basics which will enable you to work in a Cloud environment.
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Experience : 5+Years
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Job Location : Remote/Pune




