Staff Software Engineer

Houghton Mifflin Harcourt

6 - 10 years

6 - 10 Lacs

mumbai maharashtra india

Posted:12 hours ago| Platform: Foundit logo

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Skills Required

data analysis

Work Mode

On-site

Job Type

Full Time

Job Description

Be the technical lead for feature development in a team of 5-10 engineers and influencing the technical direction of the overall engineering organization.
Decompose business objectives into valuable, incrementally releasable user features accurately estimating the effort to complete each.
Contribute code to feature development efforts demonstrating to others efficient design, delivery and testing patterns and techniques.
Strive for high quality outcomes, continuously look for ways to improve team productivity and product reliability, performance, and security.
Develop the talents and abilities of peers and colleagues. Create a memorable legacy as you progress toward your personal and professional objectives.
Foster your personal and professional development continually seeking assignments that challenge you.

Skills & Experience:

Successful Candidates must demonstrate an appropriate combination of:

6 - 10+ years of experience as a software engineer.
3+ years of experience as a Staff or lead software engineer.
Bachelors degree in computer science or a STEM field.
A portfolio of thought leadership and individual technical accomplishments.
Full understanding of Agile software development methodologies and practices.
Strong communication skills both verbal and written.

Extensive experience working with technologies and concepts such:

Behavior-driven or test-driven development
JVM-based languages such as Java and Scala
Development frameworks such as Spring Boot
Asynchronous programming concepts, including Event processing
Database technologies such as SQL, Postgres/MySQL, AWS Aurora DBs, Redshift, Liquibase or Flyway
No-SQL technologies such as Redis, MongoDB and Cassandra
Streaming technologies such as Apache Kafka, Apache Spark or Amazon Kinesis
Unit-testing frameworks such as jUnit
Performance testing frameworks such as Gatling
Architectural concepts such as micro-services and separation of concerns
Expert knowledge of class-based, object-oriented programming and design patterns
Development tools such as GitHub, Jira, Jenkins, Concourse, and Maven
Cloud technologies such as AWS and Azure
Data Center Operating Technologies such as Kubernetes, Apache Mesos Apache Aurora, and TerraForm and container services such as Docker and Kubernetes
Monitoring and operational data analysis practices and tools such as DataDog, Splunk and EL

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