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Solutions Architect

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Job Description

About DotKonnekt

DotKonnekt is a new-age Gen AI company helping enterprises leapfrog into production-grade AI. We build AI systems that operate at real enterprise scale — deeply integrated into the workflows, operations, and decisions that actually run businesses.

While most organisations stay stuck in endless experimentation, we combine domain expertise, a future-ready agentic platform, and embedded engineering teams to turn AI ambition into durable production advantage — in weeks, not quarters.

Looking for

  • Someone who gets frustrated when infrastructure is the bottleneck — so you make sure it never is.
  • A systems thinker who can zoom in to a single Lambda cold start and zoom out to a multi-region DR strategy.
  • Excited by the integration of AI into infrastructure — you see Bedrock, Vertex, and open-source model hosting as part of the architecture conversation.
  • Proactive, opinionated, and able to explain your reasoning to both engineers and executives.

What You'll Do

  • Architect resilient, scalable, and secure AWS and GCP infrastructures for DotKonnekt's platform and client deployments.
  • Design and implement serverless architectures (AWS Lambda, API Gateway, Cloud Run, Cloud Functions) that optimise efficiency and reduce operational overhead.
  • Orchestrate containerised workloads with Kubernetes (EKS / GKE), including deployment strategies, autoscaling, and cluster management.
  • Automate infrastructure provisioning and lifecycle management using Terraform — IaC is the default, not the exception.
  • Design robust networking solutions: VPCs, subnets, security groups, private endpoints, WAF, and zero-trust access patterns.
  • Architect data pipelines and storage solutions that support AI workloads: vector databases, object storage, streaming infrastructure.
  • Integrate AI services (AWS Bedrock, Vertex AI, third-party LLM APIs) into platform architecture, ensuring low latency and high availability.
  • Establish observability standards: logging, metrics, distributed tracing, and cost monitoring across all environments.
  • Work with engineering and product teams as the technical bridge between business requirements and infrastructure capability.
  • Contribute to security posture, compliance readiness, and disaster recovery planning.

What We're Looking For

Must-Have

  • 2–5 years of cloud architecture experience with demonstrable ownership of production AWS or GCP environments at meaningful scale.
  • Deep AWS expertise: compute (EC2, Lambda, ECS/EKS), networking (VPC, Route 53, CloudFront), storage (S3, RDS, DynamoDB), and IAM.
  • Terraform proficiency — you write modules, manage state, and enforce standards, not just apply someone else's templates.
  • Container orchestration experience with Kubernetes — deployments, Helm charts, service meshes, and cluster operations.
  • Experience designing serverless architectures that go beyond hello-world — event-driven, cost-optimised, observable.
  • Strong networking fundamentals: routing, DNS, load balancing, firewall rules, and private connectivity patterns.
  • Understanding of security best practices: least-privilege IAM, secrets management, encryption at rest and in transit.
  • Ability to translate business and product requirements into infrastructure designs and communicate trade-offs clearly.

Strong Advantage

  • GCP expertise alongside AWS — multi-cloud architectures, Vertex AI, Cloud Run, BigQuery.
  • Experience integrating AI/ML services into platform infrastructure, including GPU workloads, model serving, and vector stores.
  • Familiarity with FinOps practices — cost attribution, reserved capacity planning, and waste reduction.
  • MLOps or LLMOps exposure: CI/CD for model deployments, experiment tracking, and inference infrastructure.
  • Experience with service mesh (Istio, Linkerd) or advanced networking patterns.

Why DotKonnekt is a Leapfrog Opportunity

  • Ground-floor equity in a company where the trajectory is up and to the right — we're early enough that your work shapes the product, the culture, and the org design.
  • You'll work across real enterprise deployments — not sandboxes — where the stakes are high and the wins are visible.
  • Our platform is agentic-first. You'll be building and shipping with the tools that are defining the next decade of software.
  • Speed is a feature. Your decisions matter and they ship.
  • Direct access to leadership, collaborative design reviews, and a culture where curiosity and candour are the norm.

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About Company

Job ID: 147536199

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