Director, Software Engineering: Java

Director, Software Engineering:
Java page is loaded

Director, Software Engineering:
Java Apply locations Chicago - 125 S Franklin time type Full time posted on Posted 3 Days Ago job requisition
-4171

What You'll Do:

The candidate will be responsible for leading a team of skilled software engineers designing and delivering scalable and resilient hybrid and Cloud-based applications and data solutions supporting critical financial market clearing and risk activities; helping to drive the strategy of transforming the enterprise into a data-driven organization; lead through innovative strategic thinking in building data solutions.

Primary Duties and Responsibilities:

To perform this job successfully, an individual must be able to perform each primary duty satisfactorily.

You will be part of the Data team, a diverse group of dedicated engineers who are very passionate about data. As the Data team member, you will be working alongside experts that are building OCC’s next generation Data Platform in the cloud, paving the future of digital transformation in the capital markets and responsible for crafting and building cloud-based applications and data systems that will serve as the backbone for enterprise data management and analytics capabilities.

• Manage, lead, and mentor software development team

• Serve as technical product owner flushing out detailed business, architectural, and design requirements

• Develop solutions to complex technical challenges while coding, testing, troubleshooting and documenting the systems you and your team develop

• Recommend architectural changes and new technologies and tools that improve the efficiency and quality of OCC’s systems and development processes

• Lead the efforts to optimize application performance and resilience though analysis, code refactoring, and systems tuning

• Collaborate with others to deliver complex projects involving the integration with multiple systems

• Work closely with internal and external business and technology partners.

Supervisory Responsibilities:

• Build and manage a team of skilled software engineers

Qualifications:

The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the primary functions.

• 8+ years of experience leading software development teams

• Experience with Java

• Experience with distributed message brokers like Flink, Spark, Kafka Streams, etc.

• Experience with Agile development processes for enterprise software solutions

• Experience with software testing methodologies and automated testing frameworks

• Strong leadership skills

• Ability to manage project teams with different timelines and focus

• Knowledge of industry trends, best practices, and change management

• Strong communication skills with ability to communicate and interact with engineers and business stakeholders

• Team player, self-driven, motivated, and able to work under pressure

Technical Skills:

• 8-10 years of experience in building high performance, large scale data solutions

• Experience managing a team of professionals to drive their work, providing mentoring for growth, and delivering constructive feedback or course correction where necessary

• 8+ years of solutions design and architecture experience

• Hands-on development experience with multiple programming languages such as Python and Java

• Experience with Big Data processing technologies and frameworks such as Presto, Hadoop, Map Reduce, and Spark

• Hands-on experiences designing and implementing RESTful APIs

• Knowledge and understanding of Dev Ops tools and technologies such as Terraform, Git, Jenkins, Docker, Harness, Nexus/Artifactory, and CI/CD pipelines

• Knowledge of SQL, data warehousing design concepts, various data management systems (structured and semi structured) and integrating with various database technologies (Relational, No
  
  SQL)

• Experience working with Cloud ecosystems (AWS, Azure, GCP)

• Experience with stream processing technologies and frameworks such as Kafka, Spark Streaming, Flink

• Familiarity with monitoring related tools and frameworks like Splunk, Elasticsearch, Signal
  
  FX, and App Dynamics

• Good understanding of data integrations…