Integration Lead (Java/Python)

ABOUT CLIENT

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

JOB DESCRIPTION

Provide leadership and support to a team of integration specialists to ensure successful project delivery and adherence to best practices.
Develop and design APIs utilizing WSO2, MuleSoft, or Kong and offer guidance on version control, deployments, and monitoring.
Deploy OAuth2 using Identity/SSO tools and oversee API security.
Utilize Swagger and API Developer Toolkit for API design and modeling.
Set up and customize different API product features and capabilities.
Guarantee adherence to banking regulations and data governance policies.

JOB REQUIREMENT

A degree in Computer Science, IT, or a related field is required.
A minimum of 5 years of IT integration experience, including at least 2 years in a lead role is necessary.
Demonstrated expertise in utilizing AWS services for integration scenarios is essential.
Proficiency in WSO2, MuleSoft and Kong for API design and development is a must.
Strong understanding of OAuth2 implementations and API security is required.
Proficiency in programming languages such as Java or Python, and Agile project management is necessary.
Previous experience in leading and managing a small team is crucial.
Ability to nurture a collaborative environment that promotes innovation and accountability is required.
Capability to support team members' growth through guidance and feedback is essential.
Strong problem-solving abilities, an inquisitive mindset, and a proactive approach to learning are necessary.
Effective communication skills to motivate and engage cross-functional teams is crucial.
Nice to have skill:
Expertise in API design and modeling, particularly Swagger, would be beneficial.
Knowledge of middleware and enterprise service bus (ESB) solutions would be an advantage.
Familiarity with compliance standards such as PCI DSS, GDPR, and TOGAF would be a plus.
An AWS Certified Solutions Architect certification would be beneficial.

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:

Java

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Hybrid

Salary:

Negotiation

Job ID:

J01600

Status:

Close

Related Job:

Android Engineer (Java/Kotlin)

Ho Chi Minh - Viet Nam


Product

  • Android

Develop Android App part of various Services Develop new services and improve structures Analyze and apply new technologies to services

Negotiation

View details

AI-Native Software Engineering Lead

Ho Chi Minh - Viet Nam


Outsource

  • Backend
  • AI

Responsible for developing and evolving the AI-native SDLC operating model, including agent workflow designs, verification gates, context management standards, and evaluation frameworks Build and lead multi-agent systems using orchestration layers such as Claude Code, GitHub Copilot Workspace, Cursor, LangGraph, CrewAI, or equivalent, from prototype to production Collaborate with the Director of Engineering to contribute to and maintain the company's AI toolchain selection criteria and evaluate tools with engineering rigor, providing internal guidance on when AI is beneficial and when it is not Establish engineering standards, agent evaluation loops, and AI output quality gates across the delivery organization Previous experience in a lead, principal, or staff engineer role with demonstrated cross-team influence Experience in outsourcing, consulting, or multi-client delivery environments Track record of building or leading an internal community of practice, guild, or AI adoption program Develop and continuously evolve the company's AI-native SDLC playbook, including standards, workflow templates, case studies, and guardrails that delivery teams can adopt immediately Design and lead internal upskilling programs that transition engineers from AI-assisted to AI-native working patterns Keep track of the AI capability frontier, model improvements, new agent frameworks, and emerging risks, translating signals into timely updates to client practices Work closely alongside Delivery Teams as an AI transformation advisor and execution partner, identifying the highest-value automation opportunities across the SDLC and coordinating with the team to implement them Design and deploy agent-orchestrated workflows tailored to each client's stack, team maturity, and delivery context, with measurable ROI Build business cases for AI-native adoption with clients and account managers, framing the value in terms of velocity, quality, and cost Represent the company's AI-native engineering capabilities in client conversations, QBRs, and RFP responses as a credible technical authority

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