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Engineering Manager | 2025HP11008 / #78t3RrCY

Engineering Manager | 2025HP11008 / #78t3RrCY

MindverseconsultingKuala Lumpur, Kuala Lumpur, Malaysia
14 hours ago
Job description

Mindverse Consulting Services | Permanent

Engineering Manager

Kuala Lumpur, Malaysia | Posted on 19 / 11 / 2025

About Us

We are SME IT Consulting Company focusing on Cloud Computing & Data Science Consulting space across Europe and India .

We also support our customers by providing technical consultant on contract as per their project requirements.

We call such services as SKILL-PARTNERSHIP and we are now operational in 40+ countries globally .

Job Summary

Customer is seeking an Engineering Manager with a proven track record of technical leadership and strategic expertise to oversee the development and evolution of our trading platforms. This role is instrumental in driving innovation, modernizing legacy systems, and ensuring the delivery of high‑quality scalable solutions. With a strong background in Dockerized architectures, Microservices, Event‑Driven Domain Architectures, and Big Data, the Engineering Manager will play a critical role in integrating cutting‑edge technologies into a robust and flexible infrastructure. This position also requires hands‑on proficiency in SQL, Cloud technologies, and Agile delivery frameworks, alongside mastery of the .NET Framework and AWS.

Responsibilities

  • Lead and mentor cross‑functional engineering teams, including Agile Squad Leads and architects, to deliver on modernization and migration initiatives.
  • Collaborate with stakeholders to align engineering strategies with business goals and technical requirements.
  • Foster a high‑performance engineering culture that emphasizes technical excellence, accountability, and continuous improvement.
  • Architect and oversee the seamless migration of legacy systems into the IC Markets ecosystem, ensuring minimal disruption and maximum scalability.
  • Spearhead the design and implementation of Dockerized solutions, integrating event‑driven architectures, microservices, and big data pipelines.
  • Ensure the architecture leverages AWS serverless technologies, maximizing efficiency and reducing operational complexity.
  • Provide hands‑on technical leadership, guiding the team in containerized application development, big data processing, and distributed systems design.
  • Optimize and modernize SQL‑based systems, ensuring their seamless integration with cloud‑native infrastructure.
  • Drive the adoption of CI / CD practices and container orchestration technologies (e.g., Kubernetes) to streamline deployment processes.
  • Act as a technical authority, resolving complex engineering challenges and ensuring adherence to best practices.
  • Establish and track KPIs to evaluate system performance, team productivity, and the success of migration and modernization efforts.
  • Oversee Agile delivery cycles, ensuring that technical debt elimination and migration projects are delivered on time and within budget.

Qualifications

  • Minimum of 7 years in software engineering, including 4+ years in leadership roles managing diverse engineering teams.
  • Proven expertise in Dockerized architectures, multi‑domain microservices, big data pipelines, and event‑driven systems.
  • Strong experience with SQL databases, cloud‑native technologies, and distributed system design.
  • Mastery of .NET Framework in cloud‑native development, particularly within AWS environments.
  • Proficiency with containerization technologies (e.g., Docker) and orchestration platforms (e.g., Kubernetes, ECS).
  • In‑depth knowledge of event‑driven architectures, domain‑driven design, and real‑time data processing.
  • Expertise in serverless architectures using AWS Lambda, DynamoDB, EventBridge, and S3.
  • Extensive experience in Agile methodologies, with a focus on iterative delivery and continuous improvement.
  • Demonstrated ability to lead DevOps transformations, emphasizing automation, CI / CD pipelines, and infrastructure as code.

  • Strong strategic and analytical thinking, focusing on eliminating inefficiencies and scaling systems effectively.
  • Exceptional communication skills, enabling seamless collaboration across technical and non‑technical teams.
  • Familiarity with integrating AI / ML pipelines into trading platforms to enhance predictive analytics and decision‑making.
  • Education

  • Bachelor’s or Master’s degree in Computer Science, Telecommunications, or related field.
  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • Background Check

    No criminal record.

    Others

  • Interview process – 2–3 rounds.
  • This is a 5‑day work‑from‑office role.
  • Candidate should clearly mention all project details along with mandatory technical skills used in each project.
  • You must be a local Kuala Lumpur candidate only.
  • #J-18808-Ljbffr

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    Engineering Manager • Kuala Lumpur, Kuala Lumpur, Malaysia

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