Requirements
Enterprise Technology Engineer || 8+yrs || remote || IST
Java + Spring Boot
OpenShift on AWS / cloud-native operations
CI/CD and deployment automation
Production support / troubleshooting
Postgres
Angular
Monitoring with Splunk / Grafana
Python
Dataiku
Security / compliance / agile ways of working
Stakeholder & Solution Leadership
We are seeking a proactive and technically skilled Enterprise Technology Engineer to join the Pricing team in Technology to support Supply, Trading and Shipping. The ideal candidate will possess hands-on expertise across a range of technologies including Java, AngularJS, Postgres, OpenShift (AWS), Dataiku Platform, Python, Splunk, Grafana, and Spring Boot. Experience working within the Scrum framework is highly desirable, as you will be collaborating in an agile environment to deliver iterative improvements and enhancements in line with business priorities. In this role, you will ensure the reliability, scalability, and security of our platforms, whilst delivering enhancements and operational support for business-critical systems.
The role also requires the ability to engage with business stakeholders to clarify requirements and lead technical discussions with peers, proposing solution options in close collaboration with architecture teams, and defining, refining, and presenting solutions for business alignment and sign-off.
Core Responsibilities
• Operational Support: Provide advanced troubleshooting and resolution for operational issues related to digital products that support the valuation and risk commodity team (vendor products and bespoke application stacks), ensuring minimal downtime and swift incident recovery. Support the Technical Lead on deployment, and maintenance of applications and services in a cloud-native environment, primarily leveraging OpenShift on AWS.
• Development and Enhancement: Deliver enhancements and new features using Java, AngularJS for front-end development, and Python for automation and scripting.
• Database Engineering: Manage and optimise Postgres databases, including data modelling, tuning, and ensuring data integrity for high-availability applications.
• Data Platform Integration: Support integration and operation of the Dataiku platform, enabling robust data pipelines and analytics workflows.
• Monitoring and Observability: Implement and maintain monitoring solutions with Splunk and Grafana to ensure application and infrastructure health, proactively identifying issues and performance bottlenecks.
• CI/CD and Automation: Build, optimise, and maintain CI/CD pipelines for rapid and reliable deployment of code and infrastructure changes.
• Security and Compliance: Embed security best practices, ensuring all solutions meet compliance and regulatory requirements.
• Collaboration: Work closely with cross-functional teams, including developers, business analysts, and operations, to solve technical challenges and align IT initiatives with business goals. Actively participate in Scrum ceremonies such as sprint planning, daily stand-ups, and retrospectives to foster transparency, team alignment, and continuous delivery.
• Business & Solution Leadership: Lead technical discussions with business stakeholders to clarify requirements, challenge assumptions, and shape desired outcomes. Translate business needs into solution options, collaborating closely with architects to define the target solution. Drive end-to-end walkthroughs of proposed solutions with business stakeholders, ensuring clarity, alignment, and agreement before implementation.
• Code Review and Unit Testing: Conduct thorough code reviews to maintain high standards of quality and reliability. Design, implement, and maintain unit tests to ensure robust and error-free software delivery.
Technical Accountabilities
• Java & Spring Boot: Develop and enhance back-end services and microservices using Java, with a strong focus on Spring Boot frameworks.
• Angular: Build and maintain responsive and intuitive front-end interfaces for custom applications.
• Postgres: Design, operate, and optimise relational databases, ensuring robust data access and management.
• OpenShift (AWS): Deploy, scale, and manage containerised applications on OpenShift within AWS infrastructure, leveraging best practices for cloud-native operations.
• Dataiku Platform: Support data engineering and analytics workflows, integrating Dataiku into enterprise architecture.
• Python: Develop scripts and automation tools to streamline operational processes and enhance system reliability.
• Splunk & Grafana: Implement monitoring, logging, and alerting solutions for observability and operational insight.
• Code Quality and Unit Testing: Apply best practices for code quality by actively participating in peer code reviews and maintaining comprehensive unit test coverage across all developed solutions.
• Agile & Scrum: Leverage proven experience working within the Scrum framework, adapting to iterative development cycles, collaborating closely with product owners, and delivering high-value increments aligned with sprint objectives.
Professional Skills and Behaviours
• Communication: Engage effectively with technical and non-technical stakeholders to gather requirements, articulate solutions, and resolve issues.
• Stakeholder Leadership: Demonstrate confidence in leading discussions with business stakeholders, facilitating requirement discovery sessions, influencing decisions, and clearly articulating solution trade-offs and recommendations.
• Problem Solving: Analyse complex technical problems, identify root causes, and implement robust solutions.
• Mentoring: Support and mentor junior engineers, fostering a culture of knowledge sharing and continuous improvement.
• Adaptability: Embrace new technologies and ways of working, thriving in a dynamic and fast-paced environment.
• Continuous Learning: Demonstrate a passion for ongoing professional development and staying abreast of industry trends.
• Agile Collaboration: Demonstrate strong interpersonal skills and a collaborative mindset, thriving in Scrum teams and actively contributing to sprint goals, backlog refinement, and iterative delivery.
Collaboration and Continuous Improvement
• Promote a culture of innovation and service excellence, embedding ITIL and DevOps best practices across the team.
• Champion continuous improvement initiatives, driving operational maturity and technology adoption.
• Advance continuous improvement by embracing agile retrospectives and Scrum principles, ensuring the team regularly reflects and adapts to optimise processes and outcomes.
• Solution Alignment: Work iteratively with architects and business stakeholders to continuously refine solution designs, ensuring they remain aligned to evolving business needs and strategic architecture direction.