IHS Markit Digital is looking for passionate, self-motivated Software Engineers to design and develop cutting edge solutions that solve difficult real-world problems.

We are in search of software engineers who can help us develop and maintain systems that provide high availability and can handle very high transaction volumes. As a software engineer, your work will be used by millions of people and by some of the largest financial institutions in the world.  Ultimately, the role of the Software Engineer is to build high-quality, innovative and fully performing software that complies with coding standards and technical design.

Here are some examples of the volumes of data we regularly handle to whet your appetite:

• 130 million document search queries per week across an indexed universe of 98 million documents

• 3.2 million market data quotes processed per second

• 400 million identification symbols contained in our cross-referencing system

What you will be doing:

• Write code primarily in C# and Java with extensive test coverage and owning the process through deployment and into production

• Work in a highly collaborative Agile Team

• Stay up-to-date with the latest advances in technology

• Act as an ambassador to other teams within IHS Markit Digital to keep our systems moving forward

• Understand systems owned by the team to be able to interact with DevOps and infrastructure teams for operational activities as needed

• Respecting and adhering to the process established by team

• Constantly striving for improvement

Must haves:

• B.S. in Computer Science or related degree

• Strong C# or Java knowledge

• Prior experience working with Casssandra, Hadoop and ElasticSearch

• Good understanding of SDLC

• Solid understanding of software design patterns and architectural best practices

• Passion for problem solving

• Ability to quickly come up to speed with new technologies and processes

• Eagerness to learn and accepting feedback and a drive to be successful

Bonus haves:

• Experience with concurrent / parallel execution

• Experience working with the big data in a high-speed, high-availability environment

• CMake and TeamCity knowledge

• NO-SQL, MS SQL Server, Redis or other data systems

• Experience with S3 or other distributed object stores