Job Summary: ConcertIDC is looking for a Azure DevOps Lead Engineer with 8+ years of experience to lead and manage our cloud infrastructure and deployment processes. The ideal candidate will have deep expertise in Azure, AWS, Kubernetes, and Helm, with a strong background in automating deployments, improving CI/CD pipelines, and ensuring infrastructure scalability and reliability. Certifications in both Azure and AWS are mandatory. Key Responsibilities: • Lead the design, implementation, and maintenance of robust CI/CD pipelines. • Manage and optimize Azure Kubernetes Service (AKS) and other Kubernetes clusters. • Create, maintain, and manage Helm charts for efficient Kubernetes deployments. • Automate infrastructure provisioning using Terraform and Infrastructure as Code (IaC) principles. • Ensure high availability, security, and performance of cloud environments across Azure and AWS. • Proactively identify and resolve infrastructure and deployment issues. • Enforce and monitor compliance, security best practices, and cloud governance policies. • Collaborate with cross-functional teams to promote DevOps culture and drive engineering excellence. • Mentor and guide junior DevOps engineers and participate in technical decision-making. Required Skills & Qualifications: • 8+ years of hands-on experience in DevOps, Cloud Infrastructure, and Automation. • Expertise in Azure and AWS cloud platforms, including services like AKS, EKS, networking, and identity management. • Mandatory certifications: Microsoft Certified: Azure DevOps Engineer Expert or equivalen • Strong proficiency in Kubernetes (K8s) and Helm charts for container orchestration. • Hands-on experience with CI/CD tools: Azure DevOps, GitHub Actions, Jenkins, or GitLab CI. • Solid experience with Docker, container registries, and orchestration practices. • In-depth knowledge of cloud security, networking, and governance best practices. • Experience with Terraform, ARM templates, or CloudFormation for infrastructure automation. • Excellent problem-solving, communication, and leadership skills.
Role Overview: We are looking for a skilled Data Engineer with hands-on expertise in Snowflake, Python, and AWS services to support end-to-end data migration and warehousing solutions. The ideal candidate will design, develop, and maintain scalable Snowflake data structures, implement efficient ETL pipelines using Python and AWS (S3, Lambda, Step Functions), and collaborate with cross-functional teams to deliver high-performance data solutions. Proficiency in Power BI for dashboarding and data visualization is essential. Experience in healthcare data is a plus. Key Responsibilities: • Design, develop, test, deploy, and maintain Snowflake tables/views/stored procedures/streams/tasks using SnowSQL. • Develop ETL processes using Python and AWS services such as S3, Lambda, Step Functions to migrate data from various sources into Snowflake. • SQL Expertise: Writing optimized queries for data extraction from Snowflake. Experience in data modeling: Star schema, snowflake schema, and dimensional modeling. • Collaborate with cross-functional teams to gather requirements and design solutions for complex data warehousing projects. • Troubleshoot issues related to SnowPipe performance optimization and implement improvements. • Ensure high availability of the system by implementing redundancy measures. • Proficiency in Power BI: Dashboard creation, data visualization, DAX, Power Query and SQL (T-SQL, Stored Procedures). Job Requirements: • Strong understanding of Data Migration concepts including ETL process development using Python & AWS Services like S3, Lambda, Step Functions. HealthCare experience is an additional advantage. • Strong proficiency in ReactJS, NodeJS, NextJS, and VueJS. • Experience in leading teams as a Tech Lead or Engineering Lead for at least 2 years. • Solid understanding of RESTful APIs, microservices architecture, and web application security. • Good exposure to CI/CD, version control systems (Git), and containerization tools (Docker/Kubernetes is a plus). • Excellent problem-solving, communication, and leadership skills. • Bachelor's or Masters degree in Computer Science, Engineering, or a related field. Ready to lead with technology? Send your resume to Praveen.thangavel@concertidc.com.
Job Role: We are seeking an ambitious and results-driven HR Sales Executive with experience in staff augmentation to drive client acquisition and growth. The ideal candidate will have a deep understanding of recruitment and staffing models and the ability to connect client HR needs with our skilled talent pool across domains. Preferred Qualifications: Prior experience in IT/Non-IT staffing or HR outsourcing companies Established network of HR contacts in mid to large-sized companies 3 to 5 years of experience in B2B sales within the staffing or staff augmentation domain Proven track record of achieving sales targets in a consultative selling environment Strong understanding of contract staffing, payroll outsourcing, and recruitment services Excellent communication, negotiation and client presentation skills Comfortable working in a fast-paced, target-driven environment Key Responsibilities: New Client Acquisition: Identify and pursue new business opportunities for staff augmentation (contract, temporary and permanent staffing). Client Engagement: Build strong relationships with HR and procurement stakeholders to understand staffing requirements. Proposal Development: Create customized proposals, rate cards and capability presentations for clients. Revenue Growth: Achieve monthly/quarterly targets for staffing services through consistent business development efforts. Negotiation & Closure: Lead contract negotiations and close deals in collaboration with internal teams. Market Research: Track industry trends, competitor offerings and client hiring patterns to spot new opportunities. Internal Coordination: Work closely with the recruitment/delivery team to ensure timely fulfilment of client requirements. Interested please share profile to hr@concertidc.com
The Role We are seeking an experienced LLM Engineer to drive the development and integration of LLM capabilities within our platform. The ideal candidate will have strong backend expertise in Python, with hands-on experience in building scalable AI-driven applications and integrating LLMs with enterprise systems. Key Responsibilities • Design, develop, and maintain backend services for our LLM-based automation platform. • Integrate LLMs and vector databases into the application workflow. • Implement secure authentication and authorization mechanisms (OAuth 2.0, RBAC, JWT). • Build efficient database models and queries for complex data handling. • Develop and document RESTful APIs following best practices. • Optimize application performance, scalability, and responsiveness. • Implement robust error handling, monitoring, and logging mechanisms. • Collaborate with cross-functional teams (frontend, ML, product) to ensure seamless integration. • Write clean, maintainable, and well-structured code. Required Skills and Experience • 5+ years of backend development experience with Python. • Strong proficiency in Flask or FastAPI. • Hands-on expertise with SQLAlchemy ORM. • In-depth understanding of OAuth 2.0, JWT, and RBAC. • Experience with RESTful API design and implementation. • Proficiency in PostgreSQL or other relational databases. • Strong experience with Docker and containerized deployments. • Knowledge of Git for version control. • Strong problem-solving and debugging skills with attention to detail. • Excellent communication and teamwork skills. Preferred Qualifications • Experience working with LLMs, NLP, or machine learning technologies. • Familiarity with vector databases (e.g., Qdrant, Chroma, Faiss). • Exposure to Azure or AWS cloud platforms. • Experience with microservices architecture. • Understanding of Jinja2 templating engine and API documentation tools (Swagger). Technical Stack • Language: Python 3.x • Frameworks: Flask / FastAPI • ORM: SQLAlchemy • Authentication: OAuth 2.0, JWT • API: RESTful, Swagger • Databases: PostgreSQL, Vector DBs (Qdrant/Chroma/Faiss) • Version Control: Git • Containerization: Docker.