Job Description

You should possess advanced knowledge of AWS and other software design approaches to guide the DevOps team in designing infrastructure that caters to scale, concurrency. Preferably AWS certified. You should be able to work in situations where you can use your prior expertise and judgment to determine goals, identify constraints, and propose an actionable plan. Your work is typically focused on working with multiple teams architecture and product solutions. You should be able to lead the design and implementation that are extensible and scalable For continuous integration and deployment For multi cloud deployments For DR of various services with CiQ infrastructure You should be able to influence as a team lead , management decisions and priorities and actively mentor to create force multipliers You should drive teams to adhere to engineering best practices in SDLC like code coverage, acceptance testing, CI/CD and design patterns that ensure consistency and standardization of architecture You should proactively simplify code, identify bottlenecks and resolve team architecture deficiencies. You should be able to work along with other SDEs on their team, build relationships with stakeholders including customers, product managers, cross functional partners and external partners and integrate for a cohesive launch. Required Skills At least 6-8 years of technology experience including 3+ years of working experience in cloud Ideal candidate should have handled operations, deployment and security of multiple SaaS/B2C products Deep knowledge of Python, Cloud or GoLang and one of the public clouds Good knowledge of log collection designs like EFK and metric collection tools like newrelic, Prometheus/Grafana or SignalFx Good knowledge in design, creation and consumption of RESTful API, Micro service architectures on public clouds preferably AWS Excellent analytical, communication and coding skills is a must. Thorough orientation towards code reviews, coding/design standards and documentation Good knowledge in designing with messaging systems such as SQS, Kafka. Good knowledge in designing with ETL pipelines using AWS Step, Azkaban, Airflow Good knowledge of any big data engine like Spark would be an advantage.

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