Codemind Staffing Solutions

Key Responsibilities

Architect and implement enterprise-grade Lakehouse solutions using Databricks

Design and deliver scalable batch and real-time data pipelines using Apache Spark (PySpark/SQL)

Build ETL/ELT pipelines, incremental data loads, and metadata-driven ingestion frameworks

Implement and optimize Databricks components: Delta Lake, Delta Live Tables, Autoloader, Structured Streaming, and Workflows

Design large-scale data warehousing solutions with 3NF and dimensional modeling

Establish data governance, security, and data quality frameworks, including Unity Catalog

Lead ML lifecycle management using MLflow and drive AI use cases (RAG, AI/BI)

Manage cloud-native deployments on Microsoft Azure and integrate with enterprise systems (e.g., ServiceNow)

Drive CI/CD, DevOps practices, and performance optimization of Spark workloads

Provide technical leadership, mentor teams, and ensure successful delivery

Collaborate with stakeholders to translate business requirements into scalable solutions

Required Skills & Experience

10+ years in Data Engineering / Analytics / AI with strong delivery ownership

Deep expertise in Databricks ecosystem (Notebooks, Delta Lake, Workflows, AI/BI, Apps, Genie)

Strong hands-on experience with: 

Apache Spark (performance tuning & scalability)

Python and SQL

Proven experience in: 

Solution architecture and large-scale data platforms

Data warehousing and advanced data modeling

Batch and real-time processing systems

Experience with: 

Azure Databricks and Azure data services

ML flow and MLOps practices

ServiceNow or enterprise integrations

Exposure to AI technologies (RAG, LLM-based solutions)

Strong stakeholder management and leadership skills

Certifications (Preferred)

Databricks certifications aligned to data engineering and AI tracks, such as: 

Databricks Certified Data Engineer Associate (validates foundational ETL, Spark, and Lakehouse capabilities)

Databricks Certified Data Engineer Professional (advanced expertise in pipeline design, optimization, and governance)

Certifications in Databricks Machine Learning or Generative AI tracks (e.g., ML Associate / Professional) for AI-driven use cases

Relevant cloud certifications in Microsoft Azure or Amazon Web Services for platform deployment and architecture

We are looking for a highly skilled AI Engineer / AI Architect to design, develop, and deploy scalable AI solutions. The ideal candidate will have strong expertise in building the Enterprise Generative AI solution along with the ability to architect end-to-end AI systems aligned with business objectives. 

Key Responsibilities

Design and implement end-to-end AI/Gen AI solutions. 

Architect scalable and secure AI systems using cloud platforms. 

Work on Generative AI use cases including LLMs, RAG, Workflow, Agentic AI, prompt

engineering, LLM-as-Judge, and fine-tuning. 

Collaborate with cross-functional teams and customer to translate business requirements into AI solutions. 

Should have knowledge and worked in SDLC process and understand DevOps

practices/workflows. 

Stay updated with emerging AI trends and evaluate new tools/technologies. 

Mentor junior engineers and guide best practices in AI development. 

Required Skills

Strong proficiency in Python and AI/ML Tools like Google ADK/Langgraph/Langchain, etc.., Should have experience in configuring the LLM in AWS Bedrock/Azure Foundry/Databricks and

configure the LLMOPS and production grade AI System. 

Hands-on experience with Generative AI (LLMs, embedding, prompt engineering). 

Understands the Agile process and involve in technical scoping and estimations

Strong problem-solving and analytical skills. 

Experience working on production-grade AI systems. 

Nice to Have

Certifications in Gen AI/AI/ML in Azure/Databricks platforms. 

Should have some foundational knowledge with Azure Cloud

Experience in handling an enterprise custom and enterprise AI solutions is a added advantage.

Job Title: RDK-B/ RDK-V Developer

Experience: 3-8 Years

Work Location: Chennai / Bangalore

Work Type: Work from Office

Job Summary

We are looking for experienced RDK-B/ RDK-V Developers to design, develop, and maintain embedded software for Set-Top Box (STB) platforms using C and Linux. The role involves working with

multimedia streaming, device drivers, system integration, and ensuring compliance with video standards. The ideal candidate should have strong hands-on experience in RDK platforms, Linux

system programming, and debugging tools.

Key Responsibilities

Design and develop embedded software for STB platforms using C and Linux.

Work with RDK-B / RDK-V (Reference Design Kit for Video) and GStreamer for multimedia streaming.

Develop and integrate device drivers using Yocto build system.

Collaborate with SoC vendors to resolve hardware/software integration issues.

Implement and optimize video streaming protocols and subsystems (e.g., V4L2, HDMI, Bluetooth).

Perform debugging using GDB and other Linux tools.

Ensure compliance with video standards such as MPEG, ATSC, and DVR.

Participate in Agile development processes and contribute to sprint planning and reviews.

Document software architecture, design decisions, and test results.

Required Skills & Qualifications

3 to 8 years of hands-on RDK-B/ RDK-V development experience.

Strong in C/C++, Linux system programming, IPC, memory and process management.

Good understanding of TR-181, WebPA, TR-069 basics, and networking fundamentals (DHCP, DNS, NAT, Firewall, IPv4/IPv6).

Experience with Git, Gerrit, Jenkins, debugging tools (GDB, Valgrind, strace).

Good understanding of networking layers (L1-L3).

Preferred Skills

Experience in multimedia frameworks and streaming protocols.

Knowledge of Yocto, build systems, and cross-compilation.

Familiarity with Agile tools and practices.

Education

• Bachelor's degree in Computer Science, Electronics, or related field.

Additional Requirements

Strong analytical, problem-solving, and communication skills.

Experience Range

Experience: 8 to 12 years in Wi‑Fi development, embedded Linux, and networking domains.

• Technical lead/Specialist - 8–12 years 

Role Summary

We are seeking an experienced Wi‑Fi Developer with strong proficiency in C/C++ on Linux and deep expertise in modern Wi‑Fi standards and networking protocols. The role involves working across the Wi‑Fi stack—drivers, kernel subsystems, user‑space components, and embedded platforms such as OpenWrt and RDK‑B—to build and optimize high‑performance wireless solutions.

Key Responsibilities

• Develop and optimize Wi‑Fi features across 802.11a/b/g/n/ac/ax/be/bn, including Wi‑Fi 6/6E/7/8, MLO, OFDMA, WPA2/WPA3, Beamforming, Multi‑AP coordination, NPCA and MU‑MIMO.

• Work with core Wi‑Fi components such as hostapd, wpa_supplicant, nl80211, cfg80211, mac80211, netlink & wireless extensions

• Middleware development for EasyMesh R1 to R6/ 1905.1 / 1905.1a

• Debug and resolve Wi‑Fi performance and connectivity issues using tcpdump, Wireshark, Omnipeek, iw, logs, and chipset tools.

• Utilize tools like Spirent, Ixia, Chariot, Veriwave for traffic generation and analysis.

• Build and integrate Wi‑Fi features on OpenWrt or RDK‑B, including packaging, configuration, and system integration.

• Support networking stack integration including TCP/IP, DHCP/DNS, NAT, QoS, VLAN, PPPoE, and L2/L3 protocols.

• Develop automation scripts/tools using bash and Python; contribute to CI and test automation workflows.

• Work closely with platform, QA, and hardware teams to deliver robust, scalable Wi‑Fi functionality.

Required Skills & Qualifications

• Strong proficiency in C/C++ development on Linux / Embedded Linux.

• Deep understanding of Wi‑Fi standards: 802.11a/b/g/n/ac/ax/be/bn, Wi‑Fi 6/6E, Wi‑Fi 7, Wi‑Fi 8, MLO, OFDMA, MU‑MIMO, beamforming, WPA2/WPA3.

• Strong middleware development experience for EasyMesh R1 to R6/ 1905.1 / 1905.1a

• Hands‑on experience with hostapd, wpa_supplicant, cfg80211 / nl80211 / mac80211.

• Strong debugging skills using tcpdump, Wireshark, iperf3, iw, and system logs.

• Experience with RDK-B, Prpl, or OpenWrt including build systems, packaging, and configuration frameworks.

• Knowledge of networking: TCP/IP, routing, DHCP/DNS, NAT, firewall, QoS, VLAN, PPPoE.

• Understanding of L2/L3 protocols: VLANs, EtherChannel (LAG/LACP), STP/RSTP/MSTP.

• Proficiency with Git, bash, and Python scripting.

• Strong analytical and problem‑solving skills.

Preferred / Nice‑to‑Have

• Experience with WiFi 8 Feature development and Integration

• Experience with chipset SDKs (Qualcomm, Broadcom, MediaTek, Intel, Realtek).

• Knowledge of TR‑069, TR‑181, TR‑369 (USP).

• Familiarity with CI/CD pipelines and automated test frameworks.

• Experience with Wi‑Fi performance tuning and field deployment optimizatio

Key responsibilities

• Design, build, and maintain robust CI/CD pipelines using Azure DevOps Services (Azure Pipelines) and Git-based workflows.

• Implement and manage infrastructure as code (IaC) using ARM templates, Bicep, and/or Terraform for repeatable environment provisioning.

• Containerize applications (Docker) and manage container orchestration platforms such as AKS (Azure Kubernetes Service).

• Automate build, test, release, and rollback processes; integrate automated testing and quality gates into pipelines.

• Monitor and improve platform reliability and observability using logging and monitoring tools (e.g., Azure Monitor, Application Insights, Prometheus, Grafana).

• Drive platform security and compliance through pipeline controls, secrets management (Key Vault / Vault), and secure configuration practices.

• Implement cost-optimization and governance for Azure resources (tags, policies, budgets).

• Troubleshoot build/release failures, production incidents, and performance bottlenecks; perform root-cause analysis and implement permanent fixes.

• Mentor developers in Git workflows, pipeline authoring, best practices for IaC, and cloud-native design.

• Maintain clear documentation: runbooks, deployment playbooks, architecture diagrams, and pipeline templates. 

Required skills & experience

• 4+ years hands-on experience working with Azure and cloud-native application delivery.

• Deep experience with Azure DevOps (Repos, Pipelines, Artifacts, Boards).

• Strong IaC skills with Terraform, ARM templates, or Bicep.

• Solid experience with CI/CD design and YAML pipeline authoring.

• Practical knowledge of containerization (Docker) and Kubernetes — preferably AKS.

• Scripting skills: PowerShell, Bash, and/or Python for automation.

• Experience with Git workflows (branching strategies, PRs, code reviews).

• Familiarity with configuration management and secrets management (Azure Key Vault, HashiCorp Vault).

• Understanding of networking, identity (Azure AD), and security fundamentals in Azure.

• Strong troubleshooting, debugging, and incident response skills.

• Good collaboration and communication skills; ability to work across teams.

Certification

AZ-400: Microsoft Certified: DevOps Engineer Expert or AZ-104 or AZ 305 or Terraform Associate.

Key responsibilities

• Design, build, and maintain robust CI/CD pipelines using Azure DevOps Services (Azure Pipelines) and Git-based workflows.

• Implement and manage infrastructure as code (IaC) using ARM templates, Bicep, and/or Terraform for repeatable environment provisioning.

• Containerize applications (Docker) and manage container orchestration platforms such as AKS (Azure Kubernetes Service).

• Automate build, test, release, and rollback processes; integrate automated testing and quality gates into pipelines.

• Monitor and improve platform reliability and observability using logging and monitoring tools (e.g., Azure Monitor, Application Insights, Prometheus, Grafana).

• Drive platform security and compliance through pipeline controls, secrets management (Key Vault / Vault), and secure configuration practices.

• Implement cost-optimization and governance for Azure resources (tags, policies, budgets).

• Troubleshoot build/release failures, production incidents, and performance bottlenecks; perform root-cause analysis and implement permanent fixes.

• Mentor developers in Git workflows, pipeline authoring, best practices for IaC, and cloud-native design.

• Maintain clear documentation: runbooks, deployment playbooks, architecture diagrams, and pipeline templates. 

Required skills & experience

• 5+ years hands-on experience working with Azure and cloud-native application delivery.

• Deep experience with Azure DevOps (Repos, Pipelines, Artifacts, Boards).

• Strong IaC skills with Terraform, ARM templates, or Bicep.

• Solid experience with CI/CD design and YAML pipeline authoring.

• Practical knowledge of containerization (Docker) and Kubernetes — preferably AKS.

• Scripting skills: PowerShell, Bash, and/or Python for automation.

• Experience with Git workflows (branching strategies, PRs, code reviews).

• Familiarity with configuration management and secrets management (Azure Key Vault, HashiCorp Vault).

• Understanding of networking, identity (Azure AD), and security fundamentals in Azure.

• Strong troubleshooting, debugging, and incident response skills.

• Good collaboration and communication skills; ability to work across teams.

Certification

AZ-400: Microsoft Certified: DevOps Engineer Expert or AZ-104 or AZ 305 or Terraform Associate.

We are looking for a highly skilled AI Engineer / AI Architect to design, develop, and deploy scalable AI solutions. The ideal candidate will have strong expertise in building the Enterprise Generative AI solution along with the ability to architect end-to-end AI systems aligned with business objectives. 

Key Responsibilities

Design and implement end-to-end AI/Gen AI solutions. 

Architect scalable and secure AI systems using cloud platforms. 

Work on Generative AI use cases including LLMs, RAG, Workflow, Agentic AI, prompt

engineering, LLM-as-Judge, and fine-tuning. 

Collaborate with cross-functional teams and customer to translate business requirements into AI solutions. 

Should have knowledge and worked in SDLC process and understand DevOps

practices/workflows. 

Stay updated with emerging AI trends and evaluate new tools/technologies. 

Mentor junior engineers and guide best practices in AI development. 

Required Skills

Strong proficiency in Python and AI/ML Tools like Google ADK/Langgraph/Langchain, etc.., Should have experience in configuring the LLM in AWS Bedrock/Azure Foundry/Databricks and

configure the LLMOPS and production grade AI System. 

Hands-on experience with Generative AI (LLMs, embedding, prompt engineering). 

Understands the Agile process and involve in technical scoping and estimations

Strong problem-solving and analytical skills. 

Experience working on production-grade AI systems. 

Nice to Have

Certifications in Gen AI/AI/ML in Azure/Databricks platforms. 

Should have some foundational knowledge with Azure Cloud

Experience in handling an enterprise custom and enterprise AI solutions is a added advantage.

Key Responsibilities

 Architect and implement enterprise-grade Lakehouse solutions using Databricks

 Design and deliver scalable batch and real-time data pipelines using Apache Spark (PySpark/SQL)

 Build ETL/ELT pipelines, incremental data loads, and metadata-driven ingestion frameworks

 Implement and optimize Databricks components: Delta Lake, Delta Live Tables, Autoloader, Structured Streaming, and Workflows

 Design large-scale data warehousing solutions with 3NF and dimensional modeling

 Establish data governance, security, and data quality frameworks, including Unity Catalog

 Lead ML lifecycle management using MLflow and drive AI use cases (RAG, AI/BI)

 Manage cloud-native deployments on Microsoft Azure and integrate with enterprise systems (e.g., ServiceNow)

 Drive CI/CD, DevOps practices, and performance optimization of Spark workloads

 Provide technical leadership, mentor teams, and ensure successful delivery

 Collaborate with stakeholders to translate business requirements into scalable solutions

Required Skills & Experience

 10+ years in Data Engineering / Analytics / AI with strong delivery ownership

 Deep expertise in Databricks ecosystem (Notebooks, Delta Lake, Workflows, AI/BI, Apps, Genie)

 Strong hands-on experience with: 

a. Apache Spark (performance tuning & scalability)

b. Python and SQL

 Proven experience in: 

a. Solution architecture and large-scale data platforms

b. Data warehousing and advanced data modeling

c. Batch and real-time processing systems

 Experience with: 

a. Azure Databricks and Azure data services

b. MLflow and MLOps practices

c. ServiceNow or enterprise integrations

 Exposure to AI technologies (RAG, LLM-based solutions)

 Strong stakeholder management and leadership skills

Certifications (Preferred)

 Databricks certifications aligned to data engineering and AI tracks, such as: 

a. Databricks Certified Data Engineer Associate (validates foundational ETL, Spark, and Lakehouse capabilities)

b. Databricks Certified Data Engineer Professional (advanced expertise in pipeline design, optimization, and governance)

 Certifications in Databricks Machine Learning or Generative AI tracks (e.g., ML Associate / Professional) for AI-driven use cases

 Relevant cloud certifications in Microsoft Azure or Amazon Web Services for platform deployment and architecture

Role Summary

We are looking for a highly skilled AI Engineer / AI Architect to design, develop, and deploy scalable AI solutions. The ideal candidate will have strong expertise in building the Enterprise Generative AIsolution along with the ability to architect end-to-end AI systems aligned with business objectives. 

Key Responsibilities

Design and implement end-to-end AI/Gen AI solutions.  Architect scalable and secure AI systems using cloud platforms. 

Work on Generative AI use cases including LLMs, RAG, Workflow, Agentic AI, prompt

engineering, LLM-as-Judge, and fine-tuning. 

Collaborate with cross-functional teams and customer to translate business requirements into AI solutions. 

Should have knowledge and worked in SDLC process and understand DevOps

practices/workflows. 

Stay updated with emerging AI trends and evaluate new tools/technologies. 

Mentor junior engineers and guide best practices in AI development. 

Required Skills

Strong proficiency in Python and AI/ML Tools like Google ADK/Langgraph/Langchain, etc.., Should have experience in configuring the LLM in AWS Bedrock/Azure Foundry/Databricks and

configure the LLMOPS and production grade AI System. 

Hands-on experience with Generative AI (LLMs, embedding, prompt engineering). 

Understands the Agile process and involve in technical scoping and estimations

Strong problem-solving and analytical skills.  Experience working on production-grade AI systems. 

Nice to Have

Certifications in Gen AI/AI/ML in Azure/Databricks platforms. 

Should have some foundational knowledge with Azure Cloud

Experience in handling an enterprise custom and enterprise AI solutions is a added advantage.

Position: Dot Net Developer

Job Profile: We are seeking a highly motivated and experienced .NET Core Developer to join our team. The ideal candidate will have a strong background in designing, developing, and maintaining web applications and APIs using .NET Core. As part of our dynamic team, you will work on various projects that involve creating scalable and highperforming applications for our clients.

Responsibilities: 

Design, develop, and maintain RESTful APIs using .NET Core and related technologies. 

Develop, test, and deploy web applications that meet functional and non-functional

business requirements. 

Collaborate with front-end developers to integrate user-facing elements with server-side logic. 

Write clean, scalable, and efficient code following best practices in software

development. 

Participate in code reviews, design discussions, and contribute to continuous

improvement processes. 

Troubleshoot and debug applications and APIs to optimize performance. 

Work with databases such as SQL Server or NoSQL databases. 

Implement security and data protection measures. 

Collaborate with cross-functional teams, including QA, DevOps, and Project Managers, to ensure successful project delivery. 

Maintain proper documentation of code, processes, and functionality.

Skills: 

3+ years of hands-on experience with .NET Core in API and web application

development. 

Proficiency in C# and ASP.NET Core for building server-side applications. 

Strong understanding of RESTful API design, development, and best practices. 

Experience with front-end technologies such as HTML5, CSS3, and JavaScript

frameworks (e.g. React, Angular or Vue.js). 

Solid understanding of Entity Framework Core or other ORM tools. 

Experience with SQL Server or other relational databases.

Familiarity with cloud platforms like Azure or AWS is a plus. 

Knowledge of microservices architecture and containerization technologies (e.g.,

Docker, Kubernetes) is preferred. • Familiarity with version control systems like Git. 

Experience with CI/CD pipelines and automated testing frameworks is a plus. 

Strong problem-solving and analytical skills. 

Excellent communication and teamwork abilities. 

Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent work experience).