Senior Platform Engineer

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.

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. 

• 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

• 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

• 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 - https://www.iress.com/join-us/careers/

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