Sr. Software Engineer for R&D  

Overview:

Converge Studios Inc. is the Digital Transformation arm of Converge ICT, building the cloud infrastructure and the product ecosystem that will define the company's technology identity within the broader conglomerate. We are a small, high-calibre team with an outsized mandate, and we are growing deliberately.

The Senior Software Engineer sits at the core of the RnD Department, responsible for the foundational systems that every other product stream depends on. You will own the engineering of two critical layers: the orchestration layer (built on Crossplane, k3s, and ArgoCD) and the core API layer that underpins revenue collection across all Converge Cloud products.

This role is for an engineer who operates at the micro level, who cares about memory allocation, garbage collection, and type safety as much as they care about system design. You will set the engineering standard for junior engineers, uphold architectural decisions, and produce systems that are expected to operate reliably for years, not sprints.

Key Responsibilities:

1. Cloud Orchestration / Services

• Design, build, and maintain the Orchestration and Services layer.
• Develop and maintain the Kubernetes Provider, enabling declarative infrastructure management.
• Resolve platform issues and drive continuous stability improvements.
• Collaborate with the Principal Engineer on AI-assisted infrastructure workflows (GitOps agents, manifest generation, merge request automation).

2. Core Systems

• Architect and implement core systems with specific focus on building the developer experience, subscription management, and monetization of the product ecosystem.
• Deliver a system that integrates with the Account Plane and exposes capabilities via API Gateway.
• Own the full pipeline from Ideation through Early Adoption and into steady-state operation for Core Systems
• Define and enforce API contracts consumed by product teams across Team A and Team B.

3. Engineering Standards & Culture

• Act as the engineering ladder's top individual contributor — setting the example for code quality, testing discipline, and architectural reasoning.
• Establish DevOps practice, write tests, and build CI/CD pipelines for core engineering and orchestration layer.
• Conduct architecture reviews at the Ideation and Stabilization stages of the Product Development Pipeline.
• Mentor junior engineers through the Team C pod structure and cross-team exchange programs.
• Produce well-documented, auditable systems that can be handed off and operated by future team members.

Required Qualifcations:
1. Technical Depth

• Multilingual: must be proficient in at least two systems-level or backend languages (e.g. Go, Rust, C++, Java). Python is a plus for tooling.
• Deep understanding of memory management: allocation, garbage collection, stack vs. heap, and their performance implications.
• Strong grasp of concurrency primitives: goroutines, channels, locks, async patterns and when to use each.
• Experience building and operating distributed systems: service mesh, eventual consistency, idempotency, retry semantics.
• Proficiency in designing and implementing RESTful and gRPC APIs intended for long-term external consumption.

2. Cloud & Infrastructure

• Hands-on experience with Kubernetes — not just deployment, but understanding of controllers, CRDs, and reconciliation loops.
• Working knowledge of GitOps practices (ArgoCD, Flux) and CI/CD pipeline engineering.
• Familiarity with Crossplane or similar infrastructure-as-code frameworks is a strong plus.
• Experience with container image lifecycle management, private registries, and image signing/verification.

3. Software Engineering Practices

• Strong unit testing discipline; you write tests as part of the feature, not after.
• Experience with performance profiling, benchmarking, and identifying bottlenecks at the system level.
• Ability to produce architecture decision records (ADRs) and technical documentation that will outlive the sprint.
• 5+ years of professional software engineering experience, with at least 2 years in a senior or lead capacity.

Nice to Have:

• Experience building multi-tenant SaaS platforms with subscription or entitlement systems.
• Familiarity with billing integrations (Lago, Stripe, or similar).
• Background in IAM, OIDC, or OAuth2 implementations.
• Exposure to AI/LLM infrastructure — inference serving, agent frameworks, or AI-augmented developer tooling.
• Prior experience at a cloud provider, infrastructure company, or platform engineering team.