Vaiticka Solution

About the Company

Our brand's primary goal is to offer the necessary recruitment solutions to our corporate clients. We assist businesses and candidates in enhancing their overall growth chances with our premium variety of services. As a reputable company, we are always here to assist you in developing the best procedures for selecting the best individuals from a large pool. Most importantly, we help you narrow down the pool of qualified candidates and run a productive training session.

To enable our clients to become more agile and competitive through innovative utilization of technology, process and people. Vaiticka Solution is Intentionally Inclusive.

Listed Jobs

Company Name

Vaiticka Solution

Job Title

Senior Java Developer

Job Description

**Job Title:** Senior Java Developer **Role Summary:** Experienced Java engineer responsible for designing, developing, and maintaining high‑performance, scalable enterprise applications using microservices, Spring Boot, MongoDB, and Kafka. Provides technical leadership, mentors junior staff, and contributes to architectural decisions. **Expectations:** - Deliver robust Java solutions aligned with business goals. - Lead code quality initiatives and enforce best practices. - Collaborate effectively with cross‑functional and Agile teams. - Ensure security, performance, and reliability of production systems. **Key Responsibilities:** - Design, develop, and maintain microservices‑based Java applications. - Build and optimize RESTful APIs with Spring Boot. - Implement data storage using MongoDB and event‑driven messaging with Kafka. - Conduct code reviews, mentor junior developers, and uphold coding standards. - Troubleshoot, debug, and resolve performance or reliability issues. - Participate in architecture discussions and decisions for distributed systems. - Contribute to CI/CD pipelines and DevOps practices where applicable. **Required Skills:** - 8+ years Java development (Java SE, multithreading/concurrency). - Expert in Spring Boot and related ecosystem. - Hands‑on experience with MongoDB (NoSQL). - Proven implementation of Kafka for event‑driven architectures. - Strong understanding of microservices and RESTful API design. - Familiarity with Docker and Kubernetes (preferred). - Agile/Scrum methodology experience. - Excellent problem‑solving, analytical, and communication abilities. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent professional experience). - Relevant certifications (e.g., Oracle Certified Professional Java SE, AWS Certified Solutions Architect) are optional but advantageous.

Charlotte, United states

Hybrid

Senior

19-12-2025

Company Name

Vaiticka Solution

Job Title

Data Architect

Job Description

**Job Title** Data Architect **Role Summary** Design, build, and govern scalable marketing data pipelines that ingest, transform, and model engagement data across platforms such as Sitecore, Salesforce, and the Google Marketing Suite. Enable end‑to‑end visibility of the buyer journey and support AI‑driven analytics and personalization initiatives. **Expectations** - Deliver robust, high‑quality data pipelines that meet performance, security, and governance standards. - Ensure consistent data capture, tagging, and event structures to enable accurate analytics and AI modeling. - Act as the primary bridge between analytics, marketing technology, and IT, translating business requirements into actionable data solutions. **Key Responsibilities** - Design and maintain ETL/ELT pipelines using Databricks, Spark, SQL, and Python. - Integrate data from Sitecore, Google Marketing Platform, Salesforce, LinkedIn, 6sense, and other digital systems into unified models. - Develop and enforce data governance, quality, and security frameworks aligned with enterprise standards. - Create unified data models that merge engagement, content consumption, account signals, and opportunity information. - Build and maintain data dictionaries, taxonomies, and schemas for consistent analytics consumption. - Lead data readiness efforts with the Martech team, defining tagging and event tracking requirements. - Conduct regular data audits to verify capture of critical events, attributes, and identifiers across systems. - Define structures for capturing web behavior, personalization events, and user interactions in Sitecore and related platforms. - Support analytics teams in developing journey‑based insights and triggering personalized actions. **Required Skills** - Expertise in Databricks, Azure Data Factory, Spark, SQL, and Python for pipeline development. - Proven experience integrating marketing platforms: Sitecore, Salesforce, Google Marketing Platform, LinkedIn, 6sense. - Strong data modeling knowledge with a focus on marketing data structures. - Solid understanding of data governance, security, and quality best practices. - Ability to translate analytical needs into platform configurations and integration designs. - Experience with event tagging, tracking standards, and data skeleton development. - Collaborative mindset with IT and analytics stakeholders. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field (or equivalent experience). - Relevant certifications such as Databricks Certified Data Engineer, Azure Data Engineer Associate, or AWS Big Data Specialty are highly preferred.

Irving, United states

Hybrid

29-12-2025

Company Name

Vaiticka Solution

Job Title

DevOps Engineer

Job Description

Job Title DevOps Engineer Role Summary Senior DevOps Engineer responsible for designing, implementing, and maintaining CI/CD pipelines, managing AWS cloud infrastructure, automating provisioning and configuration, and ensuring system reliability, security, and scalability across production environments. Expectations - Minimum 8 years overall IT experience with a strong focus on DevOps / Cloud Engineering. - Demonstrated expertise in AWS services, infrastructure automation, and CI/CD tooling. - Proven ability to collaborate with development, security, and architecture teams to deliver reliable, secure, and compliant cloud solutions. Key Responsibilities - Design, build, and maintain CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, or equivalent. - Manage and optimize AWS infrastructure (EC2, S3, IAM, Lambda, CloudWatch, VPC, EKS) for high availability and scalability. - Provision and configure resources with Infrastructure as Code tools (Terraform, CloudFormation). - Implement monitoring, logging, and alerting (e.g., CloudWatch, Prometheus, ELK). - Collaborate with multi‑disciplinary teams to streamline deployments, releases, and incident response. - Ensure high availability, disaster recovery, and fault tolerance across environments. - Troubleshoot infrastructure, deployment, & performance issues. - Enforce cloud security best practices, compliance, and access management. - Create and maintain documentation, runbooks, and system architecture diagrams. Required Skills - AWS core services: EC2, S3, IAM, Lambda, CloudWatch, VPC, EKS. - CI/CD tooling: Jenkins, GitHub Actions, GitLab CI, or similar. - Containerization & orchestration: Docker, Kubernetes, EKS. - IaC: Terraform, CloudFormation, or equivalents. - Linux/Unix system administration. - Monitoring & logging (CloudWatch, Prometheus, ELK, etc.). - Networking, security, and cloud best‑practice knowledge. Required Education & Certifications - Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience). - Preferred certifications: AWS Certified Solutions Architect, AWS Certified DevOps Engineer, or similar cloud‑engineering credentials.

Atlanta, United states

Hybrid

Senior

06-01-2026

Company Name

Vaiticka Solution

Job Title

AI/ML Engineer

Job Description

**Job Title** Senior AI/ML Engineer **Role Summary** Lead the design, development, and deployment of large‑scale machine learning systems. Architect end‑to‑end pipelines, integrate models with production APIs, and set AI strategy for cross‑functional teams. **Expectations** - 5–12 years of AI/ML engineering experience. - Proven leadership in building and scaling production AI solutions. - Strong strategic and analytical thinking, excellent communication. **Key Responsibilities** - Design scalable ML architectures capable of processing vast data volumes and complex models. - Build and validate advanced statistical and deep‑learning models that solve business challenges. - Deploy models to production systems, ensuring robustness, efficiency, and maintainability. - Integrate deployed models with REST APIs for application consumption. - Provide technical direction and mentorship to junior engineers. - Collaborate with data engineering, software development, and product teams to align AI initiatives with business goals. - Stay current on AI/ML research (NLP, LLMs, transformers) and evaluate new technologies. **Required Skills** - Experience designing and scaling ML systems and architectures. - Expertise in statistical modeling, deep learning, and transformer‑based models. - Proven ability to build deployment pipelines and integrate models with REST APIs. - Strong problem‑solving, communication, and leadership abilities. **Preferred Skills** - NLP and large language model experience. - Hands‑on with cloud ML platforms (AWS SageMaker, Azure AI, etc.). - Track record of formulating and executing AI strategies at scale. **Required Education & Certifications** - Bachelor’s, Master’s, or PhD in Computer Science, Data Science, or related field. - 5–12 years of relevant AI/ML engineering experience. - Demonstrated history of delivering high‑impact AI solutions at scale.

New york, United states

Hybrid

Mid level

07-01-2026