AWS Solutions Architect (Contract / Part-Time / Project-Based)

5 years

0 Lacs

Posted:4 days ago| Platform: Linkedin logo

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Remote

Job Type

Full Time

Job Description

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Role Overview

AccuData Analytics is hiring a Certified AWS Solutions Architect for high-impact, project-based engagements focused on reviewing, optimizing, securing, and scaling our existing AWS cloud architecture supporting AI-enabled digital health platforms and enterprise applications. This role is ideal for senior cloud professionals with deep expertise in AWS, Kubernetes, and DevOps automation, who specialize in performance tuning, cost optimization, security hardening, and architectural modernization.

Key Responsibilities

  • Audit and optimize our existing AWS architecture

    for scalability, performance, security, and cost efficiency.
  • Architect and improve

    containerized workloads using Kubernetes (EKS)

    and Docker.
  • Optimize and standardize infrastructure across

    EC2, ECS, EKS, Lambda, API Gateway, RDS, DynamoDB, S3

    .
  • Lead

    cloud modernization, re-architecture, and high-availability improvements

    (not greenfield builds).
  • Strengthen

    IAM design, access controls, encryption policies, and HIPAA-aligned compliance safeguards

    .
  • Conduct

    cost optimization reviews

    , eliminate inefficiencies, and recommend right-sizing strategies.
  • Collaborate closely with engineering teams to align

    infrastructure with application, data, and AI/LLM workloads

    .
  • Produce

    clear architecture documentation, diagrams, and Infrastructure-as-Code blueprints

    using

    CloudFormation/Terraform

    .
  • Troubleshoot production issues and drive

    reliability, security, scalability, and Kubernetes cluster optimization

    .

Required Skills & Experience

  • 5+ years of hands-on experience designing, optimizing, and scaling AWS cloud architectures.
  • AWS Certified Solutions Architect – Associate or Professional (MANDATORY).
  • Strong hands-on experience with Kubernetes (EKS), Docker, and container orchestration.
  • Deep expertise in VPC design, networking, routing, NAT, VPNs, load balancers, and security groups.
  • Strong experience with CI/CD pipelines, Infrastructure as Code, and automation frameworks.
  • Proficiency with monitoring & observability tools such as CloudWatch, OpenSearch, Grafana, Prometheus.
  • Prior experience optimizing production environments in healthcare, AI/ML, or data platforms is a strong plus.
  • Excellent technical documentation, diagramming, and stakeholder communication skills.

Engagement & Benefits

  • Project-based, contract-first engagement with flexible part-time options.
  • Competitive hourly or milestone-based compensation.
  • Opportunity to own and transform a live, production-grade AWS environment.
  • Work with a fast-growing, high-impact AI healthcare product team.

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