Droisys

About the Company

Droisys is an innovation technology company, with a reputation of delivering top engineering projects and teams to meet, execute, and solve complex business challenges & deliver nuanced solutions. Droisys specializes in end-to-end delivery of highly tailored technology solutions designed by the best software engineers in the industry. Droisys has teams onsite/remote, offsite, and offshore to deliver around-the-clock results. If your business problem can be solved with a software, Droisys can build it.

Droisys is a full-service software development provider. We are experts when it comes to uncovering our clients' true operational issues and creating innovative solutions. We improve processes that cross business boundaries and deliver the highest ROI opportunities. We take responsibility by working side-by-side with our clients to implement their recommendations. We help our customers build and manage applications, enabling them to operate and collaborate like market leaders.

Highlights
* Consistent growth in 17+ years in business.
* Ranked 10 consecutive years on Inc. Magazine's list of the Top 50 SF Bay Area IT companies.
* Recognized by the Business Journal as one of Silicon Valley's fastest-growing private companies.
* 300+ team members across the globe to provide the best possible service to our clients.
* Serviced 100+ customers in 6 continents.

Listed Jobs

Company Name

Droisys

Job Title

Google Cloud Gen AI Architect

Job Description

Job title: Google Cloud GenAI Architect Role Summary: Architect and lead the design, development, and deployment of generative AI and agentic AI solutions on Google Cloud, integrating them with enterprise IT ecosystems and ensuring compliance with security, privacy, and explainability requirements. Expactations: Deliver production‑grade GenAI applications within a 12‑month engagement, mentor cross‑functional teams, and produce architectural blueprints and technical documentation that meet enterprise standards. Key Responsibilities: - Design end‑to‑end GenAI and agentic AI architectures using Vertex AI, LangChain, and related frameworks. - Build RAG‑based applications, prompt engineering, embedding fine‑tuning, and secure API integrations. - Implement AI/ML components (TensorFlow, NLP, deep learning) in production environments. - Lead architecture reviews, security compliance checks, and explainability audits. - Develop deployment pipelines, CI/CD practices, and operational monitoring. - Mentor and train technical teams on GenAI best practices and agentic orchestration. Required Skills: - Extensive experience with Google Cloud AI/ML stack (Vertex AI, Gemini, Cloud Run, Cloud SQL, Vector Search). - Hands‑on programming in Python; frameworks such as Flask or FastAPI. - Proficiency in generative AI concepts, RAG, prompt engineering, and model fine‑tuning. - Familiarity with multi‑agent orchestration (LangGraph, CrewAI, ADK). - Knowledge of security, privacy, and AI explainability standards. - Exposure to Hugging Face ecosystem and other cloud AI services (Azure AI, AWS Bedrock) is a plus. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. - Minimum 12 years of software architecture and AI/ML experience, with at least 2 years focused on GenAI system design. - Demonstrated delivery of solutions on Google Cloud AI stack.

Los angeles, United states

On site

25-11-2025

Company Name

Droisys

Job Title

Senior API Automation Engineer

Job Description

Job Title: Senior API Automation Engineer Role Summary: Lead end-to-end API quality assurance, designing and executing automated test suites, performance benchmarks, and integration tests for complex enterprise systems. Expactations: Deliver meticulous test artifacts, mentor junior testers, collaborate with cross-functional teams and clients, and consistently meet project quality and delivery milestones. Key Responsibilities: - Develop and maintain automated API test scripts using ReadyAPI and Groovy, covering functional, regression, security, and data integrity scenarios. - Design and execute performance tests with NeoLoad, analyze results, and provide optimization recommendations. - Build and sustain test pipelines in Git and Jenkins, integrating continuous integration/continuous deployment workflows. - Implement test automation using TOSCA, ensuring coverage across API and microservices layers. - Conduct manual API test cases and validate responses with Postman, generating comprehensive test reports. - Monitor application performance post-deployment via Dynatrace, correlating findings with test results. - Coordinate with stakeholders, provide clear status updates, and translate technical findings into actionable insights. Required Skills: - 10+ years of QA experience, specializing in API testing and performance validation. - Advanced proficiency in ReadyAPI, Groovy scripting, NeoLoad, TOSCA, Postman, Git, and Jenkins. - Strong analytical, debugging, and problem‑solving abilities. - Excellent written and verbal communication, with experience in client-facing engagements. Required Education & Certifications: - Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience). - Certifications in API testing (e.g., Postman API Testing), performance testing (NeoLoad), or automation tools (TOSCA) are preferred.

Bethesda, United states

Hybrid

Senior

02-12-2025

Company Name

Droisys

Job Title

Backend Software Engineer – Cloud Services

Job Description

Job title: Backend Software Engineer – Cloud Services Role Summary: Own the design, development, and deployment of backend services for cloud‑native applications, ensuring high availability, observability, and production readiness. Lead feature engineering from requirement analysis through production launch, applying robust software engineering practices and maintaining operational health. Expectations: • 3+ years building scalable, distributed systems. • Bachelor’s degree in Computer Science or related field (Master’s preferred). • Deep proficiency in Java and/or Python, RESTful API design. • Hands‑on experience with AWS, Azure, or GCP at the programming/API level. • Comfortable with Kubernetes, Docker, and container orchestration; rapid learning mindset. • Background in networking or security considered an asset. • Familiarity with cloud IaC tools (CloudFormation, Terraform) and backend frameworks (Spring or equivalent). • Knowledge of design patterns (Gang of Four) and best practices for distributed systems. • Strong testing discipline (unit, integration, functional) and emphasis on observability (telemetry, metrics). Key Responsibilities: • Design, code, and review high‑quality, production‑ready backend services in Java/Python. • Define and implement new features, own feature lifecycles, and coordinate releases with Product Management. • Write and maintain robust unit, integration, and functional tests; enforce continuous integration pipelines. • Ensure operational excellence: monitor service health, set up telemetry, respond to incidents, and drive post‑mortem learning. • Collaborate cross‑functionally with DevOps, security, and product teams to meet SLA and compliance requirements. Required Skills: Java, Python, REST APIs, cloud platform APIs (AWS/Azure/GCP), Terraform or CloudFormation, Kubernetes, Docker, Spring or comparable framework, distributed system design, observability tools, CI/CD practices, debugging, and communication. Required Education & Certifications: Bachelor’s in Computer Science or related field (Master’s preferred). Certifications such as AWS Certified Developer – Associate, Microsoft Certified: Azure Developer Associate, or Google Cloud Professional Developer are advantageous.

Sunnyvale, United states

On site

Junior

10-12-2025

Company Name

Droisys

Job Title

Data Scientist with Gen Ai and Python experience

Job Description

**Job title** Data Scientist – Generative AI & Python **Role Summary** Build, train, and deploy production‑grade machine learning models with a focus on generative AI and large language models (LLMs). Translate business requirements into data‑driven solutions using Python, Spark, and Azure/Databricks environments, ensuring statistical rigor and scalable inference pipelines. **Expectations** - Deliver end‑to‑end ML solutions that meet business KPIs. - Apply robust statistical analysis and maintain model integrity across stages. - Collaborate with cross‑functional teams to refine data strategies. - Adhere to quality, security, and deployment standards. **Key Responsibilities** - Design and implement data pipelines for data ingestion, feature engineering, and model training. - Develop and fine‑tune generative AI and LLM models, leveraging frameworks such as PyTorch or TensorFlow. - Build real‑time inference pipelines, champion/challenger testing, and A/B experiments to evaluate model performance. - Deploy models to Azure and Databricks, managing model versioning and monitoring. - Document methodologies, results, and best practices for reproducibility. - Troubleshoot model bias, drift, and performance issues. **Required Skills** - Strong proficiency in Python, Spark, and related libraries (NumPy, pandas, scikit‑learn, PyTorch/TensorFlow). - Experience with generative AI/LLMs, including prompt engineering and model fine‑tuning. - Expertise in ML pipeline design, model training, and deployment in cloud environments. - Knowledge of real‑time inference, champion/challenger frameworks, A/B testing, and model monitoring. - Familiarity with Azure services and Databricks. - Excellent analytical, problem‑solving, and communication skills. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Data Science, Statistics, or related field (or equivalent experience). - Certifications in Azure Machine Learning, Databricks, or generative AI are a plus.

Plano, United states

On site

16-12-2025