Software Engineer (iOS)

JOB DESCRIPTION

Develop, maintain, and extend existing products and  platform functionality. 
Work closely with product management & UX to take an idea from concept to delivery using excellent software design, coding, & processes. 
Design and build advanced applications for the iOS platform. 
Collaborate with cross-functional teams to define, design, and ship new features. 
Unit-test code for robustness, including edge cases, usability, and general reliability. 
Work on bug fixing and improving application performance. 
Continuously discover, evaluate, and implement new technologies to maximize development efficiency. 
Independently craft project solutions by applying solid Object-Oriented-Design principles. 
Working in a team of talented iOS engineers developing amazing native apps. 

JOB REQUIREMENT

Diploma/BS degree in Computer Science, Engineering or a related subject. 
4+ years of working experience in iOS development 
A deep familiarity with Objective-C and xCode 
Experience working with iOS frameworks such as Core Data 
Experience with third-party libraries and APIs 
Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies 
Solid understanding of the full mobile development life cycle 
Good at interpersonal communication with strong verbal / written English skills. 
Nice to have
Have knowledge in Mobile Security is a Plus 
Have published one or more iOS apps in the app store is a Plus 
Experience in Swift would be a Big Plus 
Soft skills
Good at interpersonal communication with strong verbal / written English skills 
A strong self-starter and able to work with minimal supervision 
Work at detailed level while maintaining project perspective 
Critical thinker and problem-solving skills 

WHAT'S ON OFFER

Dynamic, young and friendly environment with enjoyable staffs activities
Macbook Pro laptop for working
Base salary package
Annual leaves with 14 days at the beginning and insurance types following by the Labour Code
Flexi benefits and leaves as per organization’s policy (birthday leave, personal leave, medical leave and monthly work from home)
Performance based reward and recognition
Healthcare package, sponsored football clubs, company trip and teambuilding

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, mobile cyber-security

Technical Skills:

iOS

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Job ID:

J01299

Status:

Close

Related Job:

Software Engineer (Node.js) - Database

Ho Chi Minh - Viet Nam


Product

  • NodeJS

Design system architectures, establish coding standards, and construct cohesive, cloud-native solutions. Develop high-quality Node.js code, optimize system performance, and tackle complex software integration challenges. Oversee the testing, deployment, and comprehensive documentation of integrated systems. Mentor less-experienced engineers, engage in cross-functional teamwork, and ensure solutions meet business requirements and international standards. Participate actively in all Agile software development phases, including creating user stories and executing sprint planning Engage with multinational companies, demonstrating flexibility to occasionally adapt to US and EU time zones.

Negotiation

View details

Software Engineer (Node.js) - Platform Security

Ho Chi Minh - Viet Nam


Product

  • NodeJS

Design system architectures, establish coding standards, and construct cohesive, cloud-native solutions. Develop high-quality Node.js code, strengthen system security and reliability, and tackle complex software integration challenges. Design and implement platform security controls across web applications, APIs, and cloud services, including authentication, authorization, session management, secrets management, encryption, and audit logging. Identify and remediate security risks through threat modeling, secure code reviews, automated security testing, dependency scanning, and investigation of security-related issues. Oversee the testing, deployment, and comprehensive documentation of integrated systems. Mentor less-experienced engineers, engage in cross-functional teamwork, and ensure solutions meet business requirements and international standards. Participate actively in all Agile software development phases, including creating user stories and executing sprint planning Engage with multinational companies, demonstrating flexibility to occasionally adapt to US and EU time zones.

Negotiation

View details

AI Agent Ops Engineer

Ho Chi Minh - Viet Nam


Product

  • AI

#Agent Engineering & operation Design, build, and maintain production-grade AI agent systems, including: context engineering and instruction architecture, prompt hardening and safe execution boundaries, tool integrations and multi-step orchestration, memory strategies and reliability patterns. Own the full agent lifecycle: prototype → evaluate → deploy → monitor → iterate. Build and maintain an evaluation pipeline to measure agent quality, catch regressions, and enforce deployment gates (golden datasets, scenario suites, automated checks). Instrument agents and agent platforms for production observability: structured logging, tracing, and metrics; latency and cost monitoring; tool-call success rates and failure analysis. Define operational readiness standards including: rollback criteria, incident response playbooks, recovery paths for common failure modes.#Team Enablement & Coaching Embed with product engineering teams to identify high-value use cases ready for agent automation. We will be operating in a Central Agent Ops role enabling Ai product builders through AI enablers. Translate business workflows into agent-executable tasks with clear: contact boundaries/interfaces, assumptions and inputs/outputs, failure modes and safe fallbacks. Deliver targeted coaching to engineers on: context engineering best practices, harness design and regression testing patterns, agent skill design and tool-contract discipline. Reduce onboarding time for teams adopting AI capabilities-from first conversation to a production-ready agent. Train product engineers to extend and maintain agent skills independently.#Standards & Knowledge operations Author and maintain org-level standards for agents, including: naming conventions, context file structures and ownership rules, skill interface contracts (inputs/outputs, invariants, error handling), evaluation criteria and release quality bars. Establish and enforce "repo-as-discipline" practices so agent knowledge is: versioned, reviewable, discoverable, reusable; not trapped in prompt snippets or individual heads. Build and grow a shared agent skills library that teams can reuse and extend. Track and aggregate AI tooling/framework updates and external best practices, serving as a central intake so product teams don't each have to follow the entire AI landscape. Run internal knowledge-sharing sessions, showcases, and retrospectives to propagate learnings efficiently.

Negotiation

View details