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Open nowPosted 10 days ago

Senior / Software Engineer

shopback-284 open roles

Where
Singapore, Singapore
Work mode
On site
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Your applicationOpen nowSenior / Software Engineershopback-2 · Singapore, Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on shopback-2's own form.

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The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 10 days ago

The posting

Our Journey

The ShopBack Group is Asia-Pacific’s leading shopping, rewards, and payments platform, serving over 20 million active members across 13 markets. In 2025, the Group continued its global growth with its expansion into North America. Driven by the vision to make every day more rewarding, ShopBack is dedicated to saving members money and time, and delivering delight every day. The platform also enables merchants and brands to engage with their members in a cost-effective manner. Founded in 2014, ShopBack now powers over US$5.5 billion in annual sales for over 20,000 online and in-store partners, and has rewarded shoppers with more than US$900 million (over S$1 billion) in Cashback to date. Through its innovative offerings, ShopBack continues to create value for both members and merchants. Notably, its payment solution, ShopBack Pay, offers members a convenient and rewarding payment option at checkout.

About the Role:

At ShopBack, AI is how we build. It is not a side tool. You will ship products with AI agents as teammates, and you will build the systems that make those agents fast, secure, and reliable.

Both fresh graduates and experienced engineers are welcomed to apply.

What You'll Own

  • Own features end to end. You take a feature from idea to design, build, test, ship, and operate. You use AI to move faster at every step, and you stay accountable for the result.
  • Turn repeated work into reusable AI assets. You build skills, tools, MCP servers, and agent workflows that your whole team uses every day, so you do not write one-off prompts that nobody can reuse.
  • Make AI output measurable. You build evals, tests, and guardrails so that we can trust what agents produce. "It looks right" is not enough.
  • Build loops, not tasks. You connect agents to CI, code review, observability, and incident data so the system gets better each time it runs.
  • Design clean, scalable services. You build the APIs and backend services behind our apps, payments, and partner integrations.
  • Find where AI changes the product itself. You work with product, data, and design on ideas that go beyond changing how we build.
  • Explain trade-offs clearly. You analyse requirements, propose solutions, and say when AI is the wrong tool.
  • Raise the bar. You lead projects, mentor engineers, and share what works so the whole org becomes more AI-native

Essentials to Succeed

  • Strong fundamentals. You know system design, data structures, testing, and debugging. AI makes good engineers better. It does not replace fundamentals.
  • Proof that you applied AI, not only used it. Show us something you built.
  • Healthy scepticism. You treat AI output like code from a new teammate. You review, verify, and test it.
  • Production experience. You have built and run services in the cloud. Experience with consumer-facing products is a plus.
  • Learning velocity. You pick up new tools fast, and you drop old habits when a better tool arrives.
  • Fresh graduates: side projects, hackathons, internships, and open source all count. Send us the repo.

Bonus Points

  • You built agent infrastructure at scale: sandboxes, runtimes, orchestration, or permission models.
  • You designed LLM-as-judge or eval pipelines that the team trusts.
  • You shipped AI features to real users and handled cost, latency, and failure modes.
  • You put AI into the SDLC: automated MR review, test generation, or incident triage.

Technologies We Use & Love

  • Core: TypeScript / Node.js, React, Postgres, Kafka, SQS, Kubernetes on AWS, Knative, Debezium
  • Delivery & Ops: GitLab CI, Datadog
  • Data: Redshift, Spark, S3
  • AI: Claude Code/Codex, MCP

ShopBacker Traits

  • Agency - We take ownership and act, rather than waiting for permission. When something's blocking progress, we find a way through it and follow through until it's done.
  • Judgement - We aim for high-impact decisions, not just easy wins, and we put the bigger picture ahead of individual interests. That means moving quickly and confidently, while staying thoughtful about when a call really matters.
  • Learning Velocity - We pick up new skills fast and let go of old habits just as quickly when something better comes along. We benchmark ourselves against the best and keep raising our own bar.
  • Tenacity - We stay in it when things get hard, keeping a level head under pressure. We debate openly before deciding, then commit fully — and support each other along the way.

What's in it for ShopBackers

  • Career growth opportunities to take on greater challenges that help you realise your ambitions.
  • Be part of a winning team on a journey to global scale.
  • Competitive compensation based on performance.
  • Candid, open, and collaborative culture where feedback is valued.
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