Software Architect

Software Architect / Tech Lead

Location: Remote (Pakistan)

Type: Full-time

Reports to: Head of Product

Works with: Full-Stack, Mobile, QA/SDET, fractional DevOps

Role Summary

We're hiring a hands-on Software Architect / Tech Lead who can turn business goals into a simple,

evolvable architecture and lead engineers to deliver it. You will propose architecture and solution

designs, define API contracts and integration patterns, guide developers through implementation,

and introduce pragmatic AI/ML capabilities where they create real value.

Stack & Architecture Policy (Important)

• We deliver across client stacks but keep a baseline for speed: TypeScript/Node (NestJS),

, Postgres, Redis, Docker, AWS, Terraform, GitHub Actions, Flutter.

• We also build in Java/.NET/Go/Python and Azure/GCP when client needs demand it.

Strong fundamentals in API design, data modeling, cloud, testing, and observability

matter more than a specific framework.

• Architecture favors hexagonal (ports & adapters), clear API contracts, and reusable

infrastructure so mixed stacks plug into the same CI/CD and observability.

What You'll Do

• Own the architecture: Service decomposition, domain boundaries, data models,

integration patterns (REST/GraphQL/events), and platform guardrails (security, reliability,

cost).

• Propose solutions & ship them: Convert product requirements into HLDs, ADRs,

sequence diagrams, and implementation plans; align devs and get to production.

• API & integrations: Establish API guidelines (versioning, authN/Z, idempotency, pagination,

error contracts); drive contract/consumer testing and backward compatibility.

• Technical leadership: Pair with engineers, review PRs, unblock issues, refine epics/stories,

and enforce the definition of done (tests, docs, telemetry).

• AI/ML enablement: Identify high-ROI use cases (search, summarization, classification,

recommendations); design RAG pipelines, select providers (OpenAI/Azure/Vertex/Bedrock)

or self-hosted inference; define evaluation, guardrails, and observability for AI features.

• Security & privacy by design: Threat modeling, secrets handling, dependency scanning,

least-privilege IAM, PII protection, secure SDLC.

• Operational excellence: Define SLOs/SLIs, error budgets, logging/metrics/tracing, release

& rollback playbooks with DevOps; performance and cost budgets.

• Roadmap & spikes: Maintain the technical roadmap and tech-debt register; run

POCs/spikes to de-risk decisions and keep the stack pragmatic.

• Mentor & communicate: Coach engineers, write clear docs, and collaborate closely with

Product (Daniya) and QA on scope and trade-offs.

AI/ML & Data

• Practical experience integrating LLM features (e.g., RAG, embeddings/vector stores, prompt

safety, latency/cost controls) via APIs or self-hosted inference.

• Understanding of MLOps-lite: data pipelines, evaluation/monitoring, drift detection, human

feedback loops; partnering with specialists when deep training is required.

• Data architecture literacy: OLTP vs OLAP, CDC/streams, warehousing/lakehouse basics,

and governance for PII.

Minimum Qualifications

• 7+ years in software engineering, including 3+ in an architecture/tech-lead role shipping

cloud products.

• Expertise in at least one modern backend stack (TypeScript/Node, .NET, Java, Go, or

Python) and comfort across web/mobile surfaces.

• Cloud & platform fundamentals (AWS/Azure/GCP), containers, CI/CD, and Infrastructure'as-Code (Terraform or similar).
• Strong API design (REST/GraphQL), relational data modeling (Postgres/MySQL), caching,

and asynchronous messaging (SQS/Kafka/Rabbit).

• Proven production delivery with observability, performance tuning, and secure coding

(OWASP Top 10).

• Excellent communication; ability to articulate trade-offs and influence decisions