Senior Python Engineer

ABOUT THE JOB:

We are seeking motivated Python Engineers, who are passionate, results-focused to take accountability for the design and delivery of Microservices that will be used by banking applications. You will be part of our delivery team and will be responsible for providing technical leadership throughout all phases of the software delivery life cycle as we initiate a transformation of NAB technology.

What will you be responsible for?

1. Collaborate with other NAB's technology leaders towards improving and fulfilling the NAB technical direction;

2. Evangelize and promote Python best practices;

3. Be passionate about Python, stay relevant and understand how to implement advancement for existing or new systems;

4. Design, develop, review, implement, and manage application code and services for the production and pre-release environments in Python;

5. Design, develop, review, implement, and manage continuous integration, build management and deployment scripts, systems, and any code as required;

6. Participate in Agile software development, prototyping, and code review with international development teams to build scalable microservices-based

products;

7. Understand the requirements of the customer or business and utilize this knowledge to develop applications that are consistent with this;

8. Work with delivery teams to achieve success through development using CI/CD and DevOps practices, processes and tooling;

9. Provide robust coding practices and solid unit and component test coverage, and code debugging.

Must have:

1. Experience in delivery of Python-based data platform projects and a creative approach to deliver software solutions in a large-scale infrastructure.

2. Advanced knowledge and experience working with a variety of databases, especially PostgreSQL

3. Knowledge of message stream processing, queuing, and highly scalable “big data” data store

4. Familiarity with Airflow, Apache Spark platform.

5. Have at least some experiences with data platform on cloud like AWS Athena, Redshift, Glue table, or GCP Big Query, or similar technologies

6. Experience building and optimizing “big data” data pipelines

7. Desire to learn and seeking for ways to improve our software.

8. Familiarity with Agile methodologies and Scrum.

9. Open to frequent collaboration with the team with practices like pair programming and code review.

10. Bonus points for understanding of efficient Python data structures and implementations, knowledge of software engineering fundamentals including

design patterns and complex data structures (i.e. graphs).

11. Familiarity with automated build and test systems for CI/CD (using Jenkins or similar) and Test Driven Development.

Nice to have:

1. Experience in the Banking or Financial Services industry;

2. Wide-ranging knowledge of various technologies (programming languages, frameworks, software architectures...);

3. Java and NodeJS experience are desirable, but not strictly required.

4. Any additional certification or training in IT, Business, Computer Science, or related area.

CLOUD FIRST

NAB is undergoing an exciting "Cloud First" technology transformation by taking advantage of the latest tools and techniques used by leading technology and digital companies globally. But it’s not just about the Tech, we are also investing heavily in our people, so if you have an appetite to learn, grow and elevate others around you, this is the place for you!

IT'S MORE THAN MONEY!

We naturally also provide a very competitive remuneration package but a career with us is about a lot more than money. We believe in people with ideas and dreams, and we want you to achieve your aspirations. We'll work together to deliver exceptional products and outcomes that push the limits of our own aspirations. Our passion for creating value and exceeding our customers'; expectations means we're ;re constantly striving to redefine our standards of excellence. You'll have our backing to develop and our encouragement to explore, realize and reach your full potential.

If this excites you, let's have a chat over a cup of coffee!