
Vikash Technologies
https://vikashtechnologies.comJobs at Vikash Technologies
Hiring for AI Engineer
Exp: 5 - 10 yrs
Edu : BE/B.Tech/MCA
Work Location : Pune / Mumbai
Skill Set:
Total experience ranging from 5–10 years in software engineering/AI roles
Min 5 years strong programming experience in Python is a MUST
Min 3.5 years hands-on experience in AI with LLMs, RAG pipelines, and AI frameworks
2+ years shipping LLM systems in production
Experience with cloud platforms (AWS/Azure/GCP)

Hiring for Dot Not Full Stack Developer Technical Lead - React js
Exp : 8 - 12 yrs
Edu : BE/B.Tech
Work Location : Pune
Skills :
Must-Have Skills
8–12 years of overall software development experience.
Strong hands-on expertise in .NET Core / C# for backend development.
Solid experience with React.js, JavaScript/TypeScript, and modern frontend frameworks.
Strong understanding of REST APIs, microservices, and distributed systems.
Hands-on working experience with Azure DevOps (Repos, Pipelines, Boards, Releases).
Experience with SQL Server and/or NoSQL databases.
Strong understanding of SDLC, Agile/Scrum methodologies, and delivery best practices.
Excellent problem-solving, debugging, and technical decision-making skills.
Hiring for Junior AI Engineer
Exp : 4 - 6 yrs
Edu : BE/B.Tech/MCA
Work Location : Pune WFO
Skills :
- Min 3 years strong programming experience in Python is a MUST
- Min 2 years hands-on experience in AI with LLMs, RAG pipelines, and AI frameworks
- Experience with cloud platforms (AWS/Azure/GCP)
Hiring for Data Engineer - Delivery Manager
Exp : 10 - 15 yrs
Edu : BE/B.Tech/MCA
Work Loation : Hyderabad
.Roles & Responsibilitie:
Own end-to-end delivery of data engineering programs ensuring alignment with business goals, timelines, and quality standards.
Drive execution across multiple data initiatives within Azure and Databricks environments.
Provide technical leadership in designing and implementing scalable data pipelines using Python, PySpark, and Spark.
Required Skills:
Strong experience with Databricks, PySpark, Python, and Spark.
Expertise in Azure Data Services including ADF, ADLS, and Synapse.
Proven experience in delivery management, stakeholder management, and Agile execution
Hiring Platform Engineer
Exp: 6 -- 10 yrs
Edu : BE/B.tech/MCA
Work Location : Pune
Skills :
Platform monitoring ,Incident trouble shooting, Incident recovery, openshift ,kubernetes.
2 years of IT operations, infrastructure, cloud or application support experience.
Exp in Linux command-line knowledge.
Exp in networking knowledge including IP addressing, DNS, ports and connectivity troubleshooting.

Key Skills:
• Bachelor's or Master's degree in Computer Science or related field.
• Minimum 5 years of experience in Platform Engineering, DevOps, or Cloud Infrastructure Engineering.
• Experience migrating data and systems between AWS IaaS and PaaS.
• Experience operating and supporting applications using AWS VPC, EKS, and related services for multi-account operations.
• Experience developing fast and reliable Continuous Integration/Continuous Deployment (CI/CD) workflows used by hundreds of application teams.
• Experience administering and troubleshooting Operating Systems such as Linux, Windows, and MacOS.
• Professional Certifications in AWS Networks, CNCF Technologies, or Kubernetes.
• Experience using and configuring observability tools such as ELK, Prometheus/Grafana, AWS CloudWatch, and Jaeger.
• Experience of applied GitOps principles using ArgoCD or Flux.
• Public examples of code you've worked on with other people using any of these technologies:
o Configuration management/Infrastructure as Code (IAC) tools, such as AWS CDK, AWS CloudFormation, Terraform, Ansible, or Puppet.
o Systems solutions in one or more programming languages, such as Golang, Python, Java.
o Build, Release, Deploy or Ops Workflows using Bamboo, Argo Project, or GitHub Actions.
Hiring for Data Scientist / Senior Data Scientist
Exp : 4 - 12 yrs
Edu : BE/B.tech/MCA
Work Location : Pune
Notice Period : Immediate - 15 days
Skills :
4+ years of experience in data engineering, data science, or related domains.
Hands-on experience with SQL, Python, and distributed data systems.
Knowledge of machine learning techniques and statistical analysis.
Experience with cloud data platforms (Azure Data Factory, AWS Glue, GCP BigQuery).
Familiarity with DevOps practices and CI/CD for data pipelines.
Platforms & Operations Experience (Preferred)
- Experience working with Azure, AWS, or Google Cloud data tools.
Operational experience with data orchestration tools (Airflow, ADF, Glue).
Understanding of Kubernetes, Docker, or containerized environments.
Hands-on experience with data warehousing platforms (Snowflake, Redshift, BigQuery).
Experience in monitoring, logging, and alerting operations for data workflows.
15+ years of IT Delivery and Technology Services experience.
15+ years managing large offshore delivery organizations.
Proven leadership of portfolios exceeding 200+ resources.
Financial Services or Banking experience is a MUST
Extensive technical experience in Data Engineering, Data Platforms, Data Brics.
Cloud Data Transformation Programs, Data Warehousing, Azure Data Platform and compliance experience
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At Incubyte, AI is deeply integrated across the software development lifecycle to drive speed, efficiency, and smarter outcomes. Guided by Software Craftsmanship values and Extreme Programming practices, we combine high velocity with disciplined engineering to deliver reliable, high-impact solutions.
We don’t just build software—we incubate dedicated engineering teams. From designing systems to shaping team structures and organizational strategy, we enable our clients to launch and scale products that are relevant today and resilient for the future.
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Our approach is rooted in ownership. As a DevOps-driven organization, our engineers take responsibility for the entire lifecycle—from development to release—ensuring quality at every step.
Founded by product professionals, we bring a strong product mindset into services. We’re driven by curiosity, continuous learning, and a passion for building great software the right way.
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