This is a permanent role with a valued client of HyrEzy.
Work mode: 5 Days WFO (Work from Office)
Mandatory Skills: Docker & Microservices, Java and AWS cloud platform, Minimum 3 years inTeam Management
Must have team leading/ team managing experience (Minimum 3 years)
Qualification: Bachelor’s degree in Computer Science, Engineering, or a related field.
Abouty company: A global leader in Forex & CFD trading, offering advanced platforms, fast connectivity, and strong liquidity. Empowering both beginners and experienced traders with access to premium pricing once limited to banks and high-net-worth investors.
Position Overview
We are seeking an Engineering Managerto lead a cross-functional team of engineers (Java, Frontend, iOS, Android, and QA) responsible for our core trading ecosystems. As a global trading firm operating across multiple countries and business lines, our infrastructure is critical, high-stakes, and constantly evolving.
In this role, you will not just manage people; you will orchestrate the delivery of complex, low- latency trading solutions that serve diverse markets. You will bridge the gap between technical execution and business strategy, ensuring our multiple trading platforms remain robust, compliant, and scalable.
Key Responsibilities
Team Leadership & People Management
Manage a Diverse Stack: Lead a multidisciplinary team comprising Backend (Java), Frontend (React/Angular), Mobile (iOS/Android), and QA engineers.
Growth & Mentorship: Conduct regular 1:1s, facilitate career growth, and foster a culture of technical excellence and ownership.
Global Collaboration: Coordinate effectively with stakeholders and teams across different time zones and cultural contexts to ensure 24/7 operational stability.
Technical Delivery & Strategy
Multi-Platform Integration: Oversee the development and maintenance of integrations between various proprietary and third-party trading platforms.
Quality & Reliability: Champion high standards for code quality, automated testing (QA), and release management, specifically tailored for a high-availability trading environment where downtime is not an option.
Architectural Oversight: Collaborate with Staff Engineers and Architects to make scalable technical decisions that support multiple business lines simultaneously.
Operational Excellence
Agile Execution: Drive sprint planning, retro, and delivery timelines, ensuring transparency in a fast-paced environment.
Incident Management: Act as a point of escalation for critical production issues, leading root cause analysis (RCA) and preventive measures.
Compliance & Security: Ensure all engineering outputs adhere to the strict regulatory requirements of the various countries in which we operate
Technical Leadership And Execution
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.
Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field.
Experience
A minimum of 7 years in software engineering, including 3+ years in leadership roles managing diverse engineering teams.
Proven expertise in Dockerized architectures, including multi-domain microservices, big data pipelines, and event-driven systems.
Strong experience with SQL databases, cloud-native technologies, and distributed system design.
Technical Expertise
Mastery of Java 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.
Methodologies And Practices
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.
Preferred Skills
Strong strategic and analytical thinking, with a focus 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.
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