Engineering Manager

ABOUT CLIENT

Our client is using new technology to develop products for the banking industry

JOB DESCRIPTION

Take charge in guiding and mentoring Agile teams to uphold engineering standards, sprint backlogs and plans, engineers' responsibilities and performance management, code quality, adherence to development guardrails, and testing.
Collaborate with various cross-functional teams, architects, and product managers to ensure the execution and delivery of engineering goals.
Drive the technology roadmap and contribute to the overall architecture and key components design for the current and future framework.
Serve as a mediator between speed and quality while coaching engineers to be T-shaped, versatile, and take responsibility outside their core discipline.
Take ownership of addressing technical debt and staying updated with modern development technologies and methodologies.
Be accountable for the entire life-cycle development process and the deliveries of a team.
Encourage self-sufficiency and discipline within the product engineering team.
Spearhead initiatives for implementing efficient development and delivery processes.
Inspire the product team to strive for continuous delivery and innovation.
Oversee the career path development for engineering team members, in collaboration with the HR department.

JOB REQUIREMENT

Knowledge of microservices and REST API;
Proficiency in MySQL, MongoDB;
Familiarity with AWS (Lambda, S3, API Gateway, CLI, ECS, EKS…) or Google cloud platform;
Experience with formal development methodologies;
10+ years of software development experience; 4+ years in a leadership role at a product company is desirable;
Capability to design and implement new product lines from start to finish;
Track record of implementing Agile, Scrum, and SDLC in software engineering, including coding standards, code reviews, SCM, CI, build processes, testing, and operations;
Management experience in an international finance or tech company and a strong development background;
Strong leadership, team building, motivation, and coaching skills;
Experience in producing technical documentation including technical specifications, operating instructions, and test plans;
Knowledge of code and change management processes;
Experience in working with multiple stakeholders, with conflicting priorities across different locations;
Profound understanding of Software Quality, DevOps environments, and Micro-Service technologies;
Track record of working with cross-functional teams in a distributed environment;
Experience in the Banking or Financial Services industry is a plus;

WHAT'S ON OFFER

Company offers meal and parking benefits.
Full benefits and probationary salary provided.
Insurance coverage as per Vietnamese labor law and premium health care for employees and their families.
Work environment is values-driven, international, and agile in nature.
Opportunities for overseas travel related to training and work.
Participation in internal Hackathons and company events such as team building, coffee runs, and blue card activities.
Additional benefits include a 13th-month salary and performance bonuses.
Employees receive 15 days of annual leave and 3 days of sick leave per year.
Work-life balance with a 40-hour workweek from Monday to Friday.

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Product

Technical Skills:

Backend, Management

Location:

Ho Chi Minh, Ha Noi - Viet Nam

Working Policy:

Hybrid

Salary:

Negotiation

Job ID:

J02012

Status:

Active

Related Job:

Consulting Sales Manager / Sales Executive

Ho Chi Minh - Viet Nam


Outsource

  • Sale

Pipeline Management: Drive pipeline creation and conversion to consistently meet and exceed sales targets. Client Development: Expand Capgemini's presence within key banking divisions by building and nurturing strong client relationships. Executive Engagement: Establish trusted relationships with business and technology CXOs to influence strategic decisions. Proactive Sales: Lead proactive sales initiatives to achieve and surpass business objectives. Strategic Planning: Define and execute strategic plans for focus areas, ensuring alignment with overall account goals. Opportunity Intelligence: Build account intelligence to uncover, shape, and develop new opportunities. Collaboration: Partner with Capgemini service lines and external partners to deliver integrated, end-to-end solutions. Proposal Development: Create compelling proposals, pricing strategies, and points of view for both proactive opportunities and formal procurement processes. Global CoE Engagement: Collaborate with Global Centers of Excellence (Data, Cloud & Infra, Fraud, Risk & Compliance) to secure and deliver successful deals. P&L Ownership: Hold full profit and loss responsibility for assigned divisions, business areas, or portfolios.

Negotiation

View details

Head of Human Resources

Ho Chi Minh - Viet Nam


Product

  • HR
  • Management

Workforce Strategy: Design and implement workforce strategies aligned with the product roadmap and business P&L priorities. Organizational Design: Lead initiatives to support scaling, restructuring, and portfolio expansion. Talent Planning: Drive long-term talent density and succession planning for critical roles. Capability Frameworks: Build capability models directly linked to business outcomes. Executive Partnership: Act as a strategic advisor to senior leadership on people-related decisions. Business Translation: Translate business strategy into talent and capability requirements. Data Insights: Provide workforce analytics to guide growth and investment decisions. Leadership Development: Strengthen leadership pipelines and organizational resilience. Hiring Standards: Elevate recruitment standards and evaluation logic to ensure long-term talent quality. High-Performance Culture: Establish a culture anchored in accountability and clarity. Leadership Programs: Build leadership development initiatives tied to strategic priorities. Performance Management: Align performance systems with measurable business impact. AI Integration: Embed AI-driven tools into recruitment, workforce planning, and performance management. Predictive Analytics: Develop predictive talent models to anticipate capability gaps. Automation: Leverage automation to improve efficiency and decision quality. AI Governance: Promote responsible AI practices in people-related processes. HR Dashboards: Build dashboards connecting people metrics to business KPIs, operationalizing AI at scale. Cultural Alignment: Strengthen organizational culture focused on innovation, speed, and ownership. Behavioral Reinforcement: Ensure hiring and leadership behaviors reflect cultural direction. Agility & Governance: Balance agility with governance in a dynamic digital environment.

Negotiation

View details

Platform Lead

Others - Singapore


Product

  • Backend
  • Devops
  • Data Engineering

Develop and expand distributed systems to handle large volumes of sensory, telemetry, and control data across cloud and edge environments, facilitating real-time connections for fleets of robots. Create the API Platform with a focus on high reliability, exceptional developer experience, and robust multimodal AI capabilities accessible through user-friendly APIs and SDKs. Establish extensive training and inference platforms for foundation models used in robot autonomy, teleoperation, and developer integrations. Devise data ingestion and streaming pipelines for real-time connectivity of robot fleets to the cloud, covering various data inputs such as video, LiDAR, joint states, and audio. Oversee and advance a modern cloud native infrastructure stack employing Kubernetes, Docker, and infrastructure as code tools. Ensure platform reliability through telemetry, monitoring, alerting, autoscaling, failover, and disaster recovery measures. Make infrastructure decisions pertaining to distributed storage, consensus protocols, GPU orchestration, network reliability, and API security. Foster collaboration across ML, robotics, and product teams to facilitate hardware in the loop simulation, policy rollout, continuous learning, and CI/CD workflows. Implement secure APIs featuring fine-grained access control, usage metering, rate limiting, and billing integration to accommodate a growing user base.

Negotiation

View details