Website:
teamified.com
Job details:
About the Company
Teamified works with top enterprises and digital native businesses in Australia helping them build their remote teams in India, Philippines and Sri Lanka. We pride ourselves with hiring great teams to work on exciting game changing technology. Teamified currently has 200+ engineers, testers, product managers etc. working across 20+ partners. We focus on uplifting the way organisations build and manage their remote teams through great working relationships, trust, integrity, culture and hiring processes. Additional to this we are building our own technology product offerings. We strive to deliver the best outcomes for our customers, our partners and our people.
About the Role:
We are hiring a hands-on Principal Engineer to lead our new AI-first engineering pod — a small, high-trust team that ships real product and platform work in our existing payments platform and .NET codebase, then helps the rest of engineering adopt what works. This is not an advisory architecture role. You will code, review, unblock, and ship — while building the AI-first operating model from evidence, not slides. Framework work should emerge from what the pod proves in production: tooling choices, review practices, guardrails, and team habits that other squads can pick up without reinventing the wheel.
Responsibilities:
- Lead pod delivery end-to-end: backlog refinement, technical breakdown, implementation, review, and release.
- Rapidly prototype product concepts, customer opportunities, and internal tools, working closely with Product, the CEO, and Sales to validate ideas through lightweight MVPs and production-quality proof-of-concepts before committing to full-scale roadmap investment.
- Design and build agentic orchestration pipelines — e.g. a bug reported in Slack, Jira, or Linear flowing through triage, context gathering, fix attempt, PR creation, and automated review before a human merges.
- Wire agentic review triggers into PR and CI/CD workflows: security analysis, bug-risk review, test gap detection, dependency checks — with clear pass/fail/escalate behaviour and auditability.
- Use AI-assisted development responsibly across coding, testing, debugging, refactoring, documentation, and code review — coaching the pod without bypassing engineering fundamentals.
- Ship production-visible outcomes early and codify what works into standards, guardrails, and tooling choices the wider org can adopt.
- Provide pragmatic technical leadership on pod-owned work and high-risk cross-cutting decisions; advise (not own) wider platform architecture.
- Lead one high-leverage modernisation path the pod can execute — including assessment of our .NET Core 2.1 estate and a pragmatic upgrade recommendation.
- Improve the pod's path to production: Git workflows, CI/CD (Jenkins and/or GitHub Actions), testing expectations, and quality gates — then propose rollouts others can follow.
- Grow the pod: hiring, onboarding, scrum maturity, and mentorship across distributed and offshore engineers.
- Ensure everything ships with fintech-grade security, compliance, auditability, and operational discipline — including careful evaluation of AI vendor and tooling risk.
- Drive engineering initiatives independently, proactively identifying opportunities, removing technical blockers, and delivering business outcomes with minimal leadership oversight.
- Lead technical discovery and solution design for AI-enabled capabilities within an enterprise payments platform.
- Champion AI adoption across the engineering organisation by demonstrating practical, production-ready solutions rather than proof-of-concepts.
Qualifications:
- 12+ years in software engineering, with senior technical leadership experience.
- Strong hands-on skills in existing production codebases — not only greenfield.
- Experience leading or contributing materially to a small team shipping real work.
- Track record of mentoring and rolling out new engineering practices beyond your own team.
- Practical, safe use of AI-assisted development tools.
- Built agentic pipelines, not only used an AI IDE. You can describe systems you designed: triggers, agent steps, human checkpoints, CI/CD integration, and what happened when they failed.
- Strong hands-on experience with .NET/C# in enterprise production environments.
- React/TypeScript and .NET/C# experience; strong architecture and communication skills.
- Experience designing, developing, or implementing AI-enabled applications, agentic workflows, LLM integrations, or AI-assisted software engineering practices.
- Strong experience working within payments platforms, payment processing systems, fintech products, banking integrations, or other regulated financial environments.
- Legacy .NET Core upgrades.
- Growing a pod or small team into a stable scrum team (or leading multiple squads).
- Creating engineering standards, test automation, or secure SDLC practices.
- Using AI to accelerate codebase comprehension, refactoring, test generation, or migration planning.
- Agentic SDLC automation: PR review agents, security scanning in CI/CD, bug-triage-to-fix pipelines, Slack, Jira, or Linear integrations.
- Demonstrated ability to independently lead technical initiatives, influence engineering direction, and drive business outcomes without requiring detailed guidance from leadership.
Required Skills:
- Good to have - Frontend: React, TypeScript
- Backend: Strong hands-on .NET / C# experience (including legacy .NET Core 2.1 and modern .NET)
- Data: SQL Server
- Platform: AWS, Jenkins / GitHub Actions, Jira or Linear
- AI and agents: coding assistants plus agent orchestration — multi-step workflows, MCP/tool integration, PR and CI/CD hooks, webhook-driven pipelines (not GUI-only usage)
Benefits:
- Flexibility in work hours and location, with a focus on managing energy rather than time.
- Access to online learning platforms and a budget for professional development
- A collaborative, no-silos environment, encouraging learning and growth across teams
- A dynamic social culture with team lunches, social events, and opportunities for creative input
- Health insurance
- Leave Benefits
- Provident Fund
- Gratuity
If you possess the required skills and are eager to contribute to our team's success, we encourage you to apply for this exciting opportunity. Apply now!
Click on Apply to know more.