Senior Platform Engineer

See yourself being part of a large, transformational change? This could be the role for you!

At Iress, we make things happen

We believe technology should help people perform better every day. Since our beginning in 1993, people across financial services have trusted us to take their performance to the next level. More than 10,000 businesses and 500,000 people use our software, from the world’s most iconic financial services brands to advice firms of all sizes, banks, insurers, investment managers, traders and brokers. Iress is one of Australia’s largest technology companies and employs more than 1,100 people across Australia, The United Kingdom, Africa, Canada, New Zealand and Asia.

Build your career at Iress!

The primary purpose of this role is to design, deliver, operate and own platform service capabilities within Iress, with a focus on supporting our data and AI strategy by designing, developing, and maintaining robust data infrastructure and architecture to support the ingestion and transformation of data from our core software products.

This role is essential for enabling the development and scaling of new data products, ensuring the availability, integrity, and efficiency of data for product development.

The role requires demonstrated excellence in software engineering, software architecture, cloud architectures, infrastructure architecture, teamwork and communication skills. It requires an ability to think across diverse business domains, be able to communicate ideas, inform others and have a client-focused mindset. Central to this role is the ability to work effectively with people and teams outside the Data Services group including technical and non-technical stakeholders on the shared global platform.

Some of the amazing things you’ll be involved in:

Drives the strategic vision for the data platform, enabling speed, scale, and quality for Iress engineering

Drives automation across all data platform activities, optimising efficiency and minimising manual intervention

Enforces "everything as code" principles across development and operations

Researches and implements cutting-edge cloud and data engineering trends, driving innovative, future-focused improvements

Recognises opportunities to promote existing product-centric capabilities into shared platform capabilities

Works as an effective team member in a cross-functional, cross-regional team

Owns and operates services and capabilities where relevant

Is able to provide technical advice, expertise and advocacy in the use of platform capabilities

Has a focus on value which is driven via data and metrics

Support teams who are designing and implementing scalable data pipelines and ETL/ELT processes in a serverless data platform to ingest, transform, and store large volumes of structured and unstructured data

Support the operational readiness of the data platform for future product scale-up

Contribute to patterns and processes for maintaining high standards of data quality and integrity across the platform

Enable the availability of data for high-value data products

What you will bring:

3+ years of experience as a Platform Engineer or in a similar role

Experience with cloud technologies (AWS (strongly preferred), Azure, GCP)

Proficient in CI/CD processes and leading tools (e.g. BuildKite, Azure DevOps)

Has expertise in Infrastructure as Code (IaC) patterns and tools (e.g. Terraform (preferred), CloudFormation)

Demonstrates strong scripting skills in Bash and/or Python

Knowledgeable about various databases (e.g. Postgres, SQL Server, NoSQL DBs)

Experienced in application monitoring and relevant tools (e.g. Datadog, OpenTelemetry)

Demonstrated experience implementing security in automation pipelines, including static and dynamic application testing and component scanning

Desirable: Experience designing and building data lakes and lakehouses using platforms like Databricks (strongly preferred), Snowflake, or AWS services

Desirable: Experience using, deploying, scaling and monitoring streaming platforms (e.g., Apache Kafka/MSK)

Desirable: Experience using API and other technologies to synchronise data across systems

Desirable: Understanding of CI/CD DevOps approach to implement data solutions

Desirable: Experience building/operating data extraction, ingestion, and processing systems

Desirable: Experience with data warehousing, and building data pipelines

Why work with us?

8 additional paid days per year to extend your weekends

Hybrid working

Generous cash bonus for every successful referral

Starting school leave - 8.5 days of leave to assist your children with the transition to school

Up to 26 weeks’ paid parental leave for primary carers (up to 4 weeks for secondary carers), and the ability to work part-time when returning to work

3 days’ paid leave per year to participate in charity initiatives

Discounted health insurance premiums

Access to learning and development programs through LinkedIn Learning

Iress is committed to fostering a welcoming and inclusive culture. We strongly believe that diversity is what makes our teams and our products succeed. Our people have different experiences, skills, perspectives and beliefs and everyone’s uniqueness is valued and celebrated.

Our hiring decisions are never based on sexual orientation, race, gender identity, religion, disability, citizenship, marital or family status and age. Even if you feel you don’t meet all of the requirements of the role, we would still like to hear from you!

We’re also proud to be globally recognised as a WORK180 Endorsed Employer that promotes and supports all women in the workplace.

For more information about what we do, our people and values, please visit our website -

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Employment TypeEmployee

Time TypeFull time

V-09752