Jobs at Armakuni

Develop and execute SEO and digital PR strategies to improve organic rankings, website traffic, lead generation, and brand visibility. Responsibilities include keyword research, technical and on-page SEO, link building, media outreach, press releases, journalist relationship management, thought leadership, content distribution, and performance tracking using analytics and SEO tools. The role also explores visibility across AI-powered search platforms and emerging channels.

Conduct manual and automated testing for web and API applications, including test planning, execution, defect reporting, and requirements review. Develop and maintain Playwright automation scripts, identify automation opportunities, and support testing strategy. Apply AI tools to improve test design, debugging, documentation, and test data creation. Collaborate across teams while using Agile, BDD, ATDD, SQL, Git, and CI/CD practices.

Develop and maintain scalable, high-performance backend systems and microservices in Go. Responsibilities include designing RESTful and gRPC APIs, optimizing database queries, integrating messaging systems, contributing to architecture decisions, and improving CI/CD automation. The role requires strong concurrency knowledge, production Go experience, relational database expertise, and practical Docker and Kubernetes experience.

Design, build, and scale generative AI and ML solutions including LLM fine-tuning, RAG pipelines, model training and deployment on AWS SageMaker/Bedrock, experiment tracking, and computer vision tasks. Work with vector databases, ML libraries and deep learning frameworks, and develop REST APIs and production integrations.

Design and maintain enterprise data architecture, create logical/physical data models, design databases and warehouses, oversee ETL/ELT integrations, enforce data governance and security, evaluate data technologies, collaborate with stakeholders, and document data flows and performance tuning.

Lead client discovery and consult on technical/business needs, develop proposals and solution decks, collaborate on high-level architecture with solution architects, research Cloud/Data/GenAI trends, and coordinate across sales and delivery for successful pre-sales engagement.

Lead architecture, design, and development of scalable Python-based, cloud-native applications. Drive microservices, serverless, and distributed system implementations, optimize databases and performance, enhance CI/CD/DevOps, and mentor engineering teams while ensuring secure, modular code and alignment with business goals.

Lead technical vision and delivery of AI/ML and Generative AI solutions (LLMs, computer vision, forecasting). Mentor engineers, design architectures, build RAG pipelines, manage ML lifecycle, deploy and monitor models on AWS, and collaborate with stakeholders to translate business problems into scalable AI systems.

Design and implement CI/CD pipelines, manage cloud infrastructure across AWS and Azure, implement IaC and Kubernetes, improve observability and security (DevSecOps), support application deployments, migrations, and operational monitoring.

Owns DevOps technical direction, infrastructure, CI/CD pipelines, automation, security, and operational processes. Makes architecture and technology decisions, establishes engineering standards, validates code, troubleshoots production issues, and drives scalable, secure, observable solutions. Leads technical execution, mentors DevOps engineers, identifies risks, supports continuous improvement, and builds effective relationships with customers and internal stakeholders.

Lead end-to-end delivery of cloud-native software and AI projects on AWS, translating requirements into scalable architectures, managing Agile delivery, coordinating cross-functional teams, implementing LLM/RAG/vector-search/AI agent solutions, overseeing DevOps/CI-CD and IaC, and producing technical proposals, SoWs, and architecture documentation.