SEO Executive

About the Role

We're seeking a skilled Java Developer with strong AWS cloud experience to join our

solution architecture team. You'll be building scalable backend systems, integrating diverse

enterprise platforms, and developing cloud-native solutions for clients across government,

agriculture, and manufacturing sectors.

Key Responsibilities

Application Development

• Design and develop robust Java-based backend services and APIs for enterprise

applications

• Build microservices architectures for cloud-native deployments on AWS

• Implement RESTful APIs and SOAP web services for enterprise integration

• Develop serverless applications using AWS Lambda and event-driven architectures

• Create data processing pipelines using AWS services

AWS Cloud Development

• Deploy and manage applications on AWS infrastructure (EC2, ECS, EKS)

• Implement serverless solutions using Lambda, API Gateway, and Step Functions

• Design and implement storage solutions using S3, EBS, and EFS

• Work with AWS databases (RDS, Aurora, DynamoDB)

• Implement messaging and queuing using SQS, SNS, and EventBridge

• Configure and manage application monitoring using CloudWatch

System Integration

• Design and implement integration solutions connecting disparate enterprise systems

• Build adapters and connectors for third-party APIs, legacy systems, and SaaS

platforms

• Implement enterprise integration patterns (message routing, transformation,

orchestration)

• Develop middleware solutions using AWS integration services

• Handle data synchronization, format transformations (XML, JSON, CSV), and

protocol conversions

Database & Performance

• Design and optimize database schemas for AWS RDS (PostgreSQL, MySQL) and

Aurora

• Write efficient SQL queries, stored procedures, and optimize database performance

• Implement caching strategies using AWS ElastiCache (Redis/Memcached)

• Configure database connection pooling and manage high-availability setups

• Troubleshoot database bottlenecks and resolve concurrency issues

Security & DevOps

• Implement AWS security best practices (IAM, Security Groups, KMS)

• Build CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy

• Configure application auto-scaling and load balancing

Quality & Best Practices

• Write clean, maintainable code following SOLID principles and design patterns

• Implement comprehensive unit and integration testing

• Participate in code reviews and technical design discussions

• Document technical specifications, API contracts, and AWS architecture diagrams

Required Skills & Experience

Core Java Expertise

• 3-5 years of hands-on Java development experience (Java 11+ preferred)

• Strong understanding of OOP concepts, data structures, and algorithms

• Experience with Spring Framework (Spring Boot, Spring MVC, Spring Data JPA)

• Proficiency in building RESTful and SOAP web services

AWS Cloud Experience (Must Have)

• 2+ years of hands-on AWS experience with production deployments

• Strong knowledge of core AWS services: EC2, S3, RDS, Lambda, API Gateway

• Experience with AWS networking: VPC, subnets, security groups, load balancers

• Understanding of AWS IAM, security best practices, and compliance

• Experience with AWS monitoring and logging (CloudWatch, X-Ray)

• Knowledge of AWS messaging services (SQS, SNS, EventBridge)

• Familiarity with AWS database services (RDS, Aurora, DynamoDB)

Integration Experience

• Experience with enterprise integration patterns and middleware solutions

• Knowledge of API design, development, and management

• Understanding of authentication/authorization mechanisms (OAuth2, JWT, SAML)

• Experience with data transformation and mapping frameworks

• Familiarity with integration protocols (HTTP/S, FTP/SFTP, SMTP, JMS)

Database Skills

• Strong SQL skills with relational databases (PostgreSQL, MySQL preferred)

• Experience with JPA/Hibernate ORM frameworks

• Understanding of database connection pooling and transaction management

• Knowledge of database migrations and versioning tools (Flyway/Liquibase)

Technical Stack

• Build tools: Maven or Gradle

• Version control: Git

• API documentation: Swagger/OpenAPI

• Testing frameworks: JUnit, Mockito, TestNG

• Containerization: Docker (experience with ECS/EKS is a plus)

Must have

• Proven usage of Agentic AI Tools in SDLC

Bonus Skills

• AWS Certifications (Developer)

• Experience with message brokers (Kafka, RabbitMQ, ActiveMQ, Amazon MSK)

• Kubernetes and container orchestration (EKS)

• AWS serverless application development (SAM, Serverless Framework)

• Experience with Apache Camel, MuleSoft, or other integration platforms

• CI/CD tools (Jenkins, GitLab CI, GitHub Actions, AWS CodePipeline)

• Knowledge React/Angular technologies for full-stack collaboration

• Experience with ERP/CRM systems integration

Desired Attributes

• Strong problem-solving and analytical thinking abilities

• Ability to design cloud-native architectures following AWS Well-Architected

Framework

• Good communication skills for interacting with clients and cross-functional teams

• Self-motivated with ability to work independently and in team environments

• Attention to detail and commitment to delivering quality solutions

• Cost-conscious approach to AWS resource utilization

Education

• Bachelor's or Master's degree in Computer Science, Information Technology, or

related field

• Equivalent practical experience will be considered

• AWS certifications are highly valued

Criteria

Mandatory

Strong Dremio / Lakehouse Data Architect profile

Mandatory (Experience 1) – 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio

Mandatory (Experience 2) – Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems

Mandatory (Technical Skills 1) – Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts

Mandatory (Technical Skills 2) – Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)

Mandatory (Architecture) – Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics

Mandatory (Governance) – Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices

Mandatory (Stakeholder Management) – Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline

Mandatory (Company) – Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Preferred

What is a Data Prospectors day like?:

• Collecting and editing data through extensive web research, using google sheets, 

• Analyzing multiple information sources to resolve factual discrepancies in data.

• Engaging in online discussions with colleagues on best practices for getting positive results.

• Ensuring quality of data in the database.

You are an outstanding candidate if you: 

• Love to spend hours in front of your PC

•  Superb at finding information on the web

• Can type reasonably fast

• Love to work with a tech-loving cool virtual team.

• Have a webcam and mic and be available for meetings.

• Are Tech Savvy

• Can work close to UK (GMT Time Zone) working hours of 9 am - 5 pm.

• Have the ability to problem-solve and work independently - but can ask questions when needed

• Be open to training (as you will be trained by my project managers and me)

• Have  the hunger to be amazing at what you do

Educational Requirements: 

University degree or equivalent. In lieu of a degree, 2-4 years of experience working in English in a business environment. 

Work Experience at any of the following:

• Web research

• Link building

• Localization projects

• Data collection

• Research and information analysis

   

Salary and Benefits:

• The salary of this job (Once it moves to a full-time position of 40 hours per week), will be from $520 to $840 per month, depending on experience and competency. 
• The higher end of range will only be for prospectors with extensive professional experience as a high-quality link prospectors.
• But better than that, we have a set pay progression plan which means this can go up with time.
• And a performance incentive plan which means if you’re able to hit targets, you will also qualify for a quarterly bonus as well.
• And there’s even a chance of promotion - every management and senior position we have in the company has been from within.