Current Openings

Job Summary

We are seeking a skilled DevOps Engineer to design, implement, and maintain scalable, secure, and automated infrastructure for modern cloud-native applications. The ideal candidate should have hands-on experience with CI/CD pipelines, Infrastructure as Code (IaC), containerization, Kubernetes, cloud platforms, and monitoring tools. The role involves collaborating with development, QA, and operations teams to improve software delivery, reliability, and operational efficiency.

Key Responsibilities

• Design, implement, and manage CI/CD pipelines for automated build, testing, and deployment.
• Automate infrastructure provisioning using Infrastructure as Code (Terraform, CloudFormation, or ARM Templates).
• Deploy, manage, and troubleshoot Kubernetes clusters and containerized applications.
• Build and maintain Docker images and container orchestration environments.
• Configure and manage cloud infrastructure on AWS, Azure, or GCP.
• Implement monitoring, logging, and alerting solutions using industry-standard tools.
• Automate operational tasks using Bash, Python, or PowerShell scripting.
• Ensure infrastructure security, compliance, and access management.
• Manage source code repositories and branching strategies using Git.
• Optimize application performance, scalability, and availability.
• Collaborate with development teams to improve release processes and deployment strategies.
• Participate in production deployments, incident management, root cause analysis, and disaster recovery planning.
• Maintain system documentation and operational runbooks.

Required Skills

• CI/CD
• Cloud Platforms
• Containers & Orchestration
• Infrastructure as Code
• Version Control
• Scripting
• Monitoring & Logging
• Configuration Management
• Networking
• Security

Preferred Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 3–5 years of experience in DevOps, Cloud Engineering, or Site Reliability Engineering.
• Hands-on experience with Kubernetes administration.
• Strong understanding of Linux systems and networking fundamentals.
• Experience with cloud-native architectures and microservices.
• Exposure to Agile/Scrum development methodologies.
• Experience working in production support environments.

Role Overview
We are seeking an Data Science Engineer with strong hands-on experience in Retrieval-Augmented Generation (RAG) and Agentic AI systems. The role focuses on building intelligent, secure, and scalable AI solutions that process unstructured documents, perform semantic matching, and automate enterprise workflows. Experience with LLM fine-tuning and modern LLM frameworks such as LangChain is essential.

Key Responsibilities

• Design and develop RAG-based systems for document intelligence and semantic matching
• Build Agentic AI workflows for request validation, reasoning, ranking, and action automation
• Implement document ingestion pipelines including parsing, chunking, embeddings, and indexing
• Develop vector search pipelines with metadata filtering and relevance scoring
• Perform LLM fine-tuning using techniques such as LoRA, PEFT, or supervised fine-tuning
• Integrate AI solutions with backend services, APIs, and email/notification systems
• Ensure security, access control, and compliance across AI pipelines
• Continuously improve retrieval accuracy, system performance, and reliability

Required Skills

• Strong Python programming skills
• Hands-on experience with RAG architectures and semantic search
• Experience building Agentic AI or multi-agent workflows
• Experience with LLM fine-tuning techniques (LoRA, PEFT, prompt tuning)
• Experience with at least one LLM framework: LangChain (preferred)
• Experience with vector databases such as FAISS, Pinecone, or Azure AI Search
• Strong understanding of embeddings and similarity-based retrieval

Good to Have

• Experience with Azure OpenAI, OpenAI APIs, or open-source LLMs
• Experience deploying AI services using FastAPI, Docker, and cloud platforms
• Knowledge of RAG evaluation and hallucination mitigation techniques
• Domain exposure in Life Sciences, Retail, or Insurance

What You’ll Work On

• AI-driven talent matching and recommendation systems
• Secure document intelligence platforms
• Agentic AI systems for workflow automation and decision support

Why Join Us

• Work on real-world, production-grade Agentic AI solutions
• High ownership and impact across enterprise use cases
• Opportunity to work with cutting-edge Generative AI technologies

About the Role

We are seeking an experienced SQL Developer with strong expertise in database development, performance optimization, and data analysis. The ideal candidate will work closely with application, BI, and product teams to design, develop, and maintain scalable and high-performing database solutions.

Key Responsibilities

• Design, develop, and optimize SQL queries, stored procedures, functions, views, and triggers.
• Develop and maintain ETL processes, data pipelines, and data integration workflows.
• Perform database performance tuning, query optimization, indexing, and troubleshooting.
• Ensure database security, integrity, and compliance with best practices.
• Collaborate with developers to support application integrations and improve database efficiency.
• Analyze complex datasets and provide insights or reports when required.
• Participate in system design discussions, estimation, and technical documentation.
• Work closely with stakeholders to translate business requirements into technical solutions.
• Manage database deployments, migrations, and version control.
• Monitor and maintain database health, performance, and reliability.

Required Skills & Qualifications

• 5-8 years of experience as an SQL Developer or Database Developer.
• Strong proficiency in SQL Server (T-SQL), with solid understanding of relational database concepts.
• Hands-on experience in query optimization and performance tuning.
• Experience with ETL tools/processes (SSIS preferred).
• Knowledge of SSRS/Power BI for reporting (good to have).
• Experience with data modeling, schema design, and normalization.
• Familiarity with cloud databases (Azure SQL, AWS RDS) is a plus.
• Strong analytical and problem-solving skills.
• Ability to work independently and in cross-functional teams.
• Good communication and documentation skills.

Good to Have

• Experience with NoSQL databases.
• Knowledge of DevOps, CI/CD for database deployments.
• Experience with data warehousing concepts.

Job Summary

We are seeking a skilled and proactive Microsoft 365 and Intune Administrator to manage, maintain, and support the organization’s Microsoft 365 and Intune environment. The role includes administration of Exchange Online, Teams, SharePoint Online, Microsoft Intune, OneDrive, Entra ID (Azure AD), security, compliance, and user support while ensuring high availability, security, and optimal performance of the M365 ecosystem.

Key Responsibilities

• Administer and manage Microsoft 365 services including:
  • Exchange Online
  • Microsoft Teams
  • SharePoint Online
  • OneDrive for Business
  • Entra ID (Azure AD)
  • Intune / Endpoint Management
• Manage user accounts, groups, licenses, and permissions.
• Configure and maintain security policies including:
  • MFA
  • Conditional Access
  • DLP
  • Defender for Office 365
  • Security & Compliance policies
• Monitor M365 service health and troubleshoot issues.
• Perform mailbox migrations and tenant administration tasks.
• Support hybrid environments with on-prem Active Directory and Exchange.
• Manage identity synchronization using Azure AD Connect.
• Configure Teams policies, collaboration settings, and governance.
• Implement backup, retention, and disaster recovery strategies.
• Automate administrative tasks using PowerShell scripting.
• Ensure compliance with organizational security standards and best practices.
• Provide L2/L3 technical support for Microsoft 365-related incidents and requests.
• Maintain documentation, SOPs, and operational procedures.
• Coordinate with vendors and internal IT teams during upgrades and incidents.

Required Skills

• Microsoft 365 Administration
• Exchange Online
• Microsoft Teams
• SharePoint Online
• OneDrive
• Entra ID (Azure AD)

Experience with:

• Microsoft Intune
• Conditional Access
• MFA implementation
• Microsoft Defender
• PowerShell scripting
• Hybrid identity environments

Good understanding of:

• DNS, SMTP, mail flow
• Identity and Access Management
• Security and Compliance concepts
• Endpoint management

Core Intune Skills

• Device enrollment (Windows, iOS/iPadOS, Android, macOS)
• Device configuration profiles
• Compliance policies
• Conditional Access integration with Microsoft Entra ID (Azure AD)
• Application deployment and management
• Endpoint security policies
• Autopilot deployment and provisioning
• Software update management
• Remote actions (wipe, retire, sync, restart)

Advanced Skills (Highly Valued)

• Windows Autopilot White Glove/Pre-provisioning
• Co-management with Configuration Manager (SCCM/MECM)
• Microsoft Defender XDR integration
• Microsoft Graph automation
• Patch management strategy
• Cloud PC and Windows 365 administration

Operating System Knowledge

• Windows 10/11 administration
• Windows security baselines
• Active Directory and Group Policy
• Hybrid Azure AD Join
• macOS, iOS, and Android device management basics

Qualifications

• Bachelor’s degree in Computer Science, IT, or related field.
• 8+ years of experience in Microsoft 365 administration.
• 5+ Years of experience in Microsoft Intune

Relevant certifications preferred:

• Microsoft Certified: Administrator Expert
• MS-102
• AZ-104
• SC-300
• MD-102

Preferred Skills

• Experience with automation and scripting.
• Knowledge of cloud migration projects.
• Familiarity with ITIL processes.
• Experience with backup and monitoring tools.

Tools & Technologies

• Microsoft 365 Admin Center
• Exchange Admin Center
• Microsoft Entra Admin Center
• Microsoft Intune
• PowerShell
• Azure Portal
• Microsoft Defender Portal

Soft Skills

• Strong troubleshooting and analytical skills
• Good communication and documentation abilities
• Ability to work independently and in team environments
• Customer-focused mindset 

Rysun Labs is seeking a highly skilled and motivated Technical Project Manager to lead and manage software development projects, with a preference for candidates who have experience in government projects and a strong understanding of backend technologies. The ideal candidate will be responsible for planning, executing, and delivering projects on time and within scope while maintaining excellent communication with stakeholders.

Key Responsibilities:

• Lead and manage the end-to-end execution of software development projects, ensuring alignment with business goals and client requirements.
• Coordinate with cross-functional teams, including developers, designers, and QA, to ensure successful project delivery.
• Develop detailed project plans, monitor progress, and adjust as necessary to ensure successful project delivery.
• Act as the primary point of contact for stakeholders, providing regular updates and ensuring that project requirements are understood and met.
• Identify project risks and implement mitigation strategies to minimize impact on deliverables.
• Ensure adherence to project timelines, budgets, and quality standards.
• Leverage experience with government projects to navigate compliance, documentation, and reporting requirements.
• Oversee backend development processes, working closely with developers to ensure alignment with project goals and technical specifications.
• Prepare project reports, proposals, and presentations for internal and client review.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Proven experience managing government projects and understanding government processes and standards is highly preferred.
• Strong knowledge of backend technologies (e.g., PHP, Node.js, Python, Java,. Net etc.).
• Demonstrated experience with project management tools such as Jira, Trello, or similar.
• PMP or equivalent certification is a plus.
• Excellent communication, organizational, and leadership skills.
• Ability to work effectively under pressure and manage multiple projects simultaneously.   

Key Responsibilities

• Design, build, and maintain scalable data pipelines using Python & PySpark
• Develop and optimize ETL/ELT workflows for structured and semi-structured data
• Work with Azure data services to ingest, process, and store large datasets
• Write efficient SQL queries for data analysis, transformation, and reporting
• Collaborate with data analysts, data scientists, and business teams to deliver reliable datasets
• Implement data quality checks, monitoring, and performance tuning
• Handle batch and (if applicable) streaming data workloads
• Follow best practices for data security, governance, and documentation

Required Skills

Programming & Data Processing

• Strong hands-on experience with Python
• Solid expertise in PySpark / Apache Spark
• Experience with data transformations, joins, aggregations, window functions

Databases & SQL

• Advanced SQL (CTEs, indexing, query optimization)
• Experience with relational and analytical databases

Cloud & Azure

• Hands-on experience with Microsoft Azure, including:
  • Azure Data Factory (ADF)
  • Azure Data Lake Storage (ADLS)
  • Azure Synapse Analytics
  • Azure Databricks
• Understanding of cloud-based data architecture

Data Engineering Concepts

• ETL vs ELT
• Data modeling (Star / Snowflake schemas)
• Partitioning, caching, performance tuning
• Handling large-scale datasets

Good to Have

• Experience with streaming tools (Kafka, Event Hubs)
• Knowledge of CI/CD pipelines for data workflows
• Exposure to Airflow / Azure Data Factory scheduling
• Understanding of DevOps / Git / version control
• Basic knowledge of data governance & compliance

Education

• Bachelor’s degree in Computer Science, Engineering, or related field(Equivalent practical experience is welcome)

What We Offer

• Opportunity to work on large-scale, real-world data platforms
• Exposure to modern cloud & big-data technologies
• Collaborative and growth-focused environment