Senior Production/ Production Engineer

What The Role Is MAS’s Data Analytics & Engineering (DAE) Division is a specialised team within the Data Technology and Architecture (DTA) Department within the Technology Group (TG) in MAS. DAE’s primary purpose is to partner internal MAS functions to generate business value through the enablement of effective use of data driven insights for business value creation. This is achieved through effective strategies, strong in-house development capability, standardization of processes, tool enablement, establishing a product development mindset, promoting knowledge sharing within MAS and complementary external collaborations. As a DAE Production Engineer, you will be working in a fast-paced environment that would require the ability to manage multiple priorities and needs of stakeholders, as well as the agility to respond to changes and developments. What You Will Be Working On Be a technically skilled leader grounded on best practices Be accountable for and drive production engineering related initiatives with a team of skilled production engineers Be directly responsible for the delivery of the complex production engineering projects within DAE Establish production engineering best practices, day 2 operating models, methodologies, and standards across team and MAS Stay up to date on emerging methods and technologies that complement data science trends Be an effective communicator and collaborative partner Collaborate effectively with DAE’s Data Science (DS) and Product Management (PM) teams to translate and host data science products on enterprise data science platforms (EDSPs) owned and managed by the PE team Work with other TG divisions such as Platform Architecture and Engineering (PAE), Cyber Security (CySD) and Data Collaboration Platforms (DCP), and identify requirements to enable scalable and secure EDSPs that are well integrated within MAS’s data and enterprise architecture Promote the growth of the Data Analytics Community of Practitioners (DACoP) through organisation of workshops, training sessions, and forums to foster greater awareness of engineering best practices within MAS Be a supportive team player Support any TG, DTA, DAE initiatives as required. Strengthen DAE’s positive and open working norms What We Are Looking For Bachelor’s degree, preferably in Computer Science, Information Systems Management, Engineering, or another related field. Excellent platform and data engineering skills, with a 3-10 years of prior experience delivering enterprise data science or big data platforms within public service and/or financial services industry Good understanding of Traditional and Generative AI / data application development (Python) and / or networking protocols and services Familiarity with various database technologies such as MSSQL and PostgreSQL. Working experience with both structured and unstructured datasets a must Experience setting up AWS or GCP services a plus Working experience with Version Control (e.g.: Bitbucket, Gitlab) and Continuous Integration / Continuous Deployment platforms (e.g.: Gitlab, Jenkins) with added advantage for Container Management (e.g.: Kubernetes, Docker, AWS ECS), Terraform and Ansible, either On Premise or Cloud Good appreciation of common cybersecurity risks and controls Experience in analysing findings from Vulnerability Management tools (e.g.: Amazon Inspector, SonarQube, NexusIQ, Twistlock and Tenable) and rectifying code, supply-chain and / or security findings. Knowledge on configuring popular operating systems such as Linux and Windows and / or Middleware such as Apache, Nginx, gunicorn against CIS standards Comfortable working on multifaceted problems in an agile environment. Demonstrate passion and ability in overcoming business and technical constraints and deliver platforms necessary to productise data science products in MAS Strong presentation and communication skills. Ability to explain technical concepts to a non-technical / business / senior management audience is a must As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment. This contract is a 2-year contract. All applicants will be notified on whether they are shortlisted or not within 4 weeks of the closing date of this job posting. Seniority level Not Applicable Employment type Contract Job function Information Technology Industries Banking Referrals increase your chances of interviewing at Monetary Authority of Singapore (MAS) by 2x Sign in to set job alerts for “Senior Production Engineer” roles. Singapore SGD100,000.00-SGD125,000.00 7 hours ago Frontend Engineer - Marketplace, Web Frontend Platform Software Engineer (C++ or Python) – 2026 Grads We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr