Location : Noida Experience:15+ years Must Have Skills : ● 15+ years of architecture experience focused on large-scale enterprise cloud platforms. ● Expert-level architecture proficiency in AWS, Azure, and/or GCP across compute, networking, IAM, storage, serverless and managed services. ● Strong multi-cloud architecture capability including unified governance, workload placement, interoperability design, guardrails and landing zone frameworks. ● Deep Kubernetes architecture experience multi-region clusters, service mesh (Istio/Consul), zero-trust ingress/egress patterns and cluster governance. ● Expertise in HA/DR architecture, including regional failover, backup/restore design, cross-region replication, snapshot management, DR drills and RPO/RTO modeling. ● Strong experience with backup and recovery solutions across cloud, hybrid, and Kubernetes environments (e.g., Velero, native cloud backups, snapshot orchestration). ● Experience designing internal developer platforms (IDP) and platform engineering frameworks. ● Strong understanding of hybrid-cloud connectivity Direct Connect, ExpressRoute, VPN, transit gateways, SD-WAN integration. ● Solid knowledge of cloud security tooling such as CSPM, CWPP and governance automation. ● Familiarity with SRE principles, reliability engineering, chaos engineering and automated remediation. ● Expertise in enterprise integration architectures: Kafka, message queues, streaming platforms, event-driven and asynchronous communication models. ● Advanced observability architecture experience distributed tracing, logging pipelines, metrics frameworks, SLIs/SLOs and monitoring design. ● Strong command of Infrastructure as Code (Terraform, CloudFormation) and automation strategies. ● Experience defining cloud security architecture, IAM strategies, zero-trust controls and compliance-driven automation. ● Strong knowledge of FinOps and cloud cost governance, including budgeting, allocation, optimization strategies and cost-control frameworks. ● Proven ability to produce high-quality HLDs, LLDs, standards, ADRs and enterprise architectural blueprints. ● Strong leadership in architecture review boards, solution governance and guiding engineering and architecture teams. Good to Have Skills : ● Background in AI/ML platform architecture, data platforms or large-scale data engineering pipelines. ● Relevant enterprise certifications like AWS Solutions Architect, Azure Solutions Architect Expert, GCP Professional Cloud Architect Qualification : BE/BTech/MCA/ME/MTech/MS in Computer Science or a related technical field or equivalent practical experience Job Types: Full-time, Contractual / Temporary Contract length: 6 months Pay: ₹300,000.00 - ₹500,000.00 per month Work Location: In person
Location : Noida Experience:15+ years Must Have Skills : ● 15+ years of architecture experience focused on large-scale enterprise cloud platforms. ● Expert-level architecture proficiency in AWS, Azure, and/or GCP across compute, networking, IAM, storage, serverless and managed services. ● Strong multi-cloud architecture capability including unified governance, workload placement, interoperability design, guardrails and landing zone frameworks. ● Deep Kubernetes architecture experience multi-region clusters, service mesh (Istio/Consul), zero-trust ingress/egress patterns and cluster governance. ● Expertise in HA/DR architecture, including regional failover, backup/restore design, cross-region replication, snapshot management, DR drills and RPO/RTO modeling. ● Strong experience with backup and recovery solutions across cloud, hybrid, and Kubernetes environments (e.g., Velero, native cloud backups, snapshot orchestration). ● Experience designing internal developer platforms (IDP) and platform engineering frameworks. ● Strong understanding of hybrid-cloud connectivity Direct Connect, ExpressRoute, VPN, transit gateways, SD-WAN integration. ● Solid knowledge of cloud security tooling such as CSPM, CWPP and governance automation. ● Familiarity with SRE principles, reliability engineering, chaos engineering and automated remediation. ● Expertise in enterprise integration architectures: Kafka, message queues, streaming platforms, event-driven and asynchronous communication models. ● Advanced observability architecture experience distributed tracing, logging pipelines, metrics frameworks, SLIs/SLOs and monitoring design. ● Strong command of Infrastructure as Code (Terraform, CloudFormation) and automation strategies. ● Experience defining cloud security architecture, IAM strategies, zero-trust controls and compliance-driven automation. ● Strong knowledge of FinOps and cloud cost governance, including budgeting, allocation, optimization strategies and cost-control frameworks. ● Proven ability to produce high-quality HLDs, LLDs, standards, ADRs and enterprise architectural blueprints. ● Strong leadership in architecture review boards, solution governance and guiding engineering and architecture teams. Good to Have Skills : ● Background in AI/ML platform architecture, data platforms or large-scale data engineering pipelines. ● Relevant enterprise certifications like AWS Solutions Architect, Azure Solutions Architect Expert, GCP Professional Cloud Architect Qualification : BE/BTech/MCA/ME/MTech/MS in Computer Science or a related technical field or equivalent practical experience Job Types: Full-time, Contractual / Temporary Contract length: 6 months Pay: ₹300,000.00 - ₹500,000.00 per month Work Location: In person
Experience :10+Years Location : Hyderabad/ Bangalore We are looking for an experienced Data Scientist with a strong academic background in Data Science and 10+ years of hands-on experience in Data science projects. The ideal candidate should be skilled in developing predictive models, performing data analysis, and applying advanced machine learning and AI techniques to solve complex business problems. Roles and Responsibilities : ● Analyze large datasets to extract meaningful insights and patterns. ● Develop, implement, and optimize ML/AI models for predictive and prescriptive analytics ● Collaborate with engineering, product, and business teams to define and deliver data-driven solutions. ● Design and build data pipelines and perform data wrangling using Python, R, or SQL. ● Communicate analytical findings through clear data visualizations and storytelling techniques. ● Evaluate model performance and improve accuracy and efficiency. ● Work with cloud platforms (AWS, Azure, or GCP) to deploy and maintain ML/AI models in production. ● Ensure data quality, governance, and compliance with organizational standards. Must Have Skill ● 10+ years of relevant experience in Data Science Machine Learning / AI projects. ● Proficiency in Python (pandas, NumPy, scikit-learn, TensorFlow, PyTorch) or R. ● Strong understanding of machine learning algorithms, statistical modeling, and data mining techniques. ● Experience with data visualization tools such as Power BI, Tableau, or Matplotlib/Seaborn. ● Strong SQL skills and experience with data pipelines (Airflow, Spark, etc.). ● Experience with cloud platforms such as AWS SageMaker, Azure ML, or Google AI Platform. ● Excellent analytical, problem-solving, and communication skills. Good To Have: ● Experience with Deep Learning, NLP, or Time Series Analysis. ● Exposure to MLOps and CI/CD pipelines for model deployment. ● Certifications or project portfolios in Data Science or Machine Learning ● Experience in prompt engineering, context / RAG engineering, Agentic AI. Qualification : ● Bachelor’s or Master’s or PhD degree in Data Science, or a related discipline. Job Types: Full-time, Contractual / Temporary Contract length: 6 months Pay: ₹200,000.00 - ₹300,000.00 per month Work Location: In person