Datasoft Technologies, Inc.

About the Company

Proven professionals to propel your business forward!

Whether you have short-term or extended staffing needs, you can rely on our established record of connecting the right person to the right job. Since 1994, Datasoft Technologies Inc. has emerged as an essential IT, Engineering, and professional staffing resource for organizations across the United States.
With a full spectrum of staffing services at very high quality value, we're committed to delivering results that allow you to focus on what matters most--successfully growing your business.

Who we are

Datasoft delivers innovative staffing solutions that drive success and allow our clients to achieve their business goals.

Our services
We provide experienced, vetted talent for the following services:
* Engineering & Technical Staffing
* Financial staffing
* IT consulting and staffing
* Business Consultants/Management Consulting

Listed Jobs

Company Name

Datasoft Technologies, Inc.

Job Title

AI & Emerging Technology Researcher - 25-03043

Job Description

Job title: AI & Emerging Technology Researcher Role Summary: Design, build, and prototype AI and emerging technology solutions to accelerate IT innovation across client business units. Translate complex data and optimization problems into actionable models, integrating front‑end, back‑end, and machine learning components. Provide technical consulting and mentorship across development lifecycle phases. Expectations: * Full‑time contract (12 months, extendable) with 60 % onsite / 40 % remote. * Deliver end‑to‑end prototypes and guide transition to production. * Act as internal consultant for developers and engineers on emerging IT technologies. * Maintain accurate technical and non‑technical documentation. Key Responsibilities: 1. Analyze critical business data and processes, recommend improvements, and identify opportunities for data‑driven solutions. 2. Assess data source quality and develop effective data gathering techniques. 3. Lead cross‑functional collaboration to innovate and prototype new applications. 4. Design custom data models, algorithms, and machine learning solutions tailored to client needs. 5. Coordinate implementation with functional teams, ensuring alignment with product lifecycle stages. 6. Mentor and train associates/contractors on development processes and emerging technologies. 7. Communicate progress, requirements, and results to stakeholders of varying technical backgrounds. Required Skills: * 5+ years of experience in IT/software engineering with machine learning development. * Proficiency (5+ years) in Python, C++, and/or C#. * 3+ years of experience with diverse machine learning techniques and their real‑world trade‑offs. * 3+ years of software engineering and architecture knowledge. * Strong problem‑solving, analytical, and communication abilities. Required Education & Certifications: * Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics or related field (required). * Master’s or PhD in Computer Science, Mathematics, Statistics or related field (preferred). * Process/project management experience or relevant certifications (preferred).

Greenville, United states

Hybrid

Mid level

05-01-2026

Company Name

Datasoft Technologies, Inc.

Job Title

Cloud Infrastructure Architect (AWS EKS) - 25-03273

Job Description

**Job Title** Cloud Infrastructure Architect (AWS EKS) **Role Summary** Design, build, and maintain highly available, secure, and scalable cloud infrastructure on AWS with a focus on Kubernetes (EKS). Lead IaC implementations, CI/CD pipelines, and migration of on‑prem applications to the cloud while ensuring 99.999% uptime, cost optimization, and compliance with security standards. **Expectations** - Minimum 5 + years of experience designing and operating production‑grade Kubernetes (AWS EKS) environments. - Proven expertise with Terraform, GitHub (including OIDC, Actions, secrets), and CI/CD tools (Jenkins, GitHub Actions). - Ability to execute blue/green cluster upgrades, manage networking (VPC, CNI, ALB/NLB, WAF), and implement monitoring/alerting (Prometheus, Grafana, CloudWatch). - Strong communication with security, network, and client teams; on‑site presence ≥ 2 days/week; ≤ 5 % travel. **Key Responsibilities** - Architect, provision, and troubleshoot AWS cloud infrastructure (VPC, EC2, networking, firewalls). - Build and maintain EKS clusters for dev, integration, and production using Terraform IaC. - Implement and manage CI/CD pipelines (GitHub Actions, Jenkins) for automated cluster creation and application deployments. - Design and enforce network policies, ingress/egress controls, and security (IAM, Vault, WAF). - Configure monitoring, logging, and alerting (Prometheus, Grafana, CloudWatch) and integrate with ITSM ticketing. - Perform cost‑optimization analyses and recommend consumption reductions. - Lead blue/green upgrade strategies; ensure fault‑tolerant, highly available deployments across multiple AZs. - Document architecture, procedures, and release management processes; support migration of on‑prem workloads to AWS. **Required Skills** - AWS services: EKS, ECR, VPC, ALB/NLB, WAF, IAM, CloudWatch. - Kubernetes mastery: cluster lifecycle, CNI, network policies, scaling, HA. - Infrastructure as Code: Terraform (modules, state management). - Version control & CI/CD: GitHub (OIDC, Actions), Jenkins, branching/merging strategies. - Monitoring & observability: Prometheus, Grafana, CloudWatch integration. - Scripting/automation: Bash, Python (or similar). - Networking fundamentals: subnets, routing, security groups, firewall integration. - Excellent communication and documentation skills. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field (or equivalent professional experience). - Preferred certifications: AWS Certified Solutions Architect – Professional, AWS Certified DevOps Engineer – Professional, Certified Kubernetes Administrator (CKA).

Greenville, United states

Hybrid

06-03-2026