BizTech Internship (Business + Technology) Remote

Greetings from zealous sevices!

GoLang (Soln Architect) -(9 AM to 6PM) 

Experience: 10-12 Yrs 

Need a senior Solution Architect - No BGV - ok with consultants 

Own end-to-end solution architecture for a cloud-based cybersecurity platform operating at massive scale (millions of assets), spanning multiple product modules and a broad third-party integration ecosystem.

What They'll Do 

Define and own the overall solution architecture across multiple product modules (e.g., detection, response, asset inventory, reporting), ensuring they work as a coherent, scalable system rather than disconnected parts 

Design for scale: architecture that reliably handles millions of assets/endpoints with predictable performance, cost, and reliability as volume grows 

Lead cloud infrastructure architecture decisions, compute, storage, networking, multi-region/multi-tenant strategy, disaster recovery 

Architect and govern third-party integrations (SIEM/SOAR, ticketing, identity providers, cloud provider APIs, threat intel feeds, etc.), define integration patterns, data contracts, and reusable frameworks rather than one-off connections 

Create and maintain architecture roadmaps, capacity plans, and technical strategy aligned with product/business roadmap 

Set architectural standards and guardrails (scalability, security, data flow, API design) across engineering teams 

Act as the technical bridge between engineering, product, security, and infrastructure/DevOps teams 

Conduct architecture reviews, threat-model system designs, and identify scaling bottlenecks or single points of failure before they hurt production 

Own key non-functional requirements: performance, availability, security, cost-efficiency, compliance 

Support presales/enterprise customer conversations on architecture, especially for large or complex deployments 

Evaluate and select core technologies (data stores, messaging systems, orchestration, IaC tooling) 

What They Should Have 

8–12+ years in software/infra engineering, with 4+ years specifically in a solution/enterprise architect role 

Proven experience architecting systems at scale (millions of records/assets/events), not just designing on paper, but having operated such systems in production 

Deep cloud architecture expertise (AWS/GCP/Azure), multi-account/multi-tenant design, cost optimization, networking, IAM 

Strong grasp of distributed systems patterns: data partitioning, eventual consistency, event-driven architecture, caching strategies

Experience designing integration architectures (APIs, webhooks, message queues) across many heterogeneous third-party systems 

Security architecture fluency,this is a security product, so the architect must think adversarially about their own system 

Ability to produce architecture documentation (C4 diagrams, ADRs, data flow diagrams) that both engineers and executives can use 

Track record of cross-functional influence, able to align multiple engineering teams around a shared architecture without direct authority 

Cybersecurity domain knowledge (SIEM/EDR/CNAPP/CSPM concepts, threat detection pipelines), or equivalent adjacent domain with fast ramp-up ability 

Nice to Have 

Experience with specific integration ecosystems relevant to your product (e.g., Splunk, ServiceNow, Okta, AWS Security Hub) 

Familiarity with IaC (Terraform), service mesh, and Kubernetes at scale Enterprise/regulated-industry experience (SOC 2, FedRAMP, ISO 27001) shaping architecture decisions 

Prior experience scaling a product from ""hundreds of thousands"" to ""tens of millions"" of managed assets

Key Responsibilities

• Design, build, and deploy machine learning and AI models that power Transient.AI's core products (research

automation, document intelligence, investor matching, and workflow orchestration).

• Work on applied NLP/LLM systems, including retrieval-augmented generation, structured extraction from

unstructured financial documents, and model evaluation pipelines.

• Partner closely with product and founding engineers to translate capital markets workflows into scalable AI

systems.

• Own model performance, reliability, and cost — from experimentation through production deployment.

• Build and maintain data pipelines, feature stores, and evaluation frameworks to support rapid iteration.

• Ensure systems meet the compliance, auditability, and security standards required in regulated financial

environments.

What We're Looking For

• 5+ years of experience building and deploying machine learning or AI systems in production.• Strong hands-on experience with Python and modern ML/AI frameworks (PyTorch, TensorFlow, Hugging Face,

LangChain, or equivalent).

• Experience with LLMs — fine-tuning, prompt engineering, RAG architectures, or agentic systems — is highly

valued.

• Solid grounding in data structures, distributed systems, and MLOps practices (model serving, monitoring,

versioning).

• Prior experience at a strong product company, high-growth startup, or a top-tier engineering background

• Comfort operating in an early-stage, high-ownership environment with limited process and high ambiguity.

• Exposure to fintech, capital markets, or other regulated industries is a plus, though not mandatory

Position Name:- Azure Infrastructure Engineer

Year of Exp:- 8+ years

Mode :- Remote

Key Important Skill Set:-

Cloud Networking

Azure Networking

Hub-and-Spoke Architecture

Azure Kubernetes Service (AKS)

Terraform Automation

State File Management (Terraform)

Disaster Recovery (DR) Setup

High Availability Configuration

Network Troubleshooting (Azure)

AKS Networking

Scaling and Load Balancing (AKS)

VM Deployment (Terraform)

Service Mesh

Helm for AKS

Production-Level Infrastructure Management

Network Security Groups (NSG)

Container Management (AKS)

Detailed Job Description: -

Key Responsibilities:

Operate and troubleshoot production AKS clusters

Build and deploy workloads using Docker and Helm

Automate infra provisioning with Terraform

Configure autoscaling using KEDA and HPA

Manage Istio or equivalent service mesh (ingress, routing, mTLS)

Maintain robust CI/CD pipelines (Azure DevOps/GitHub Actions)

Handle complex Azure networking (VNet, NSG, DNS, LB, peering)

Support and execute disaster recovery procedures

• Data Scientist with 4+ yrs of experience
• Good working experience in Computer vision and ML engineering
• Strong knowledge of statistical modeling, hypothesis testing, and regression analysis
• Should be developing APIs
• Proficiency in Python, SQL
• Should have Azure knowledge
• Basic knowledge of NLP
• Analytical thinking and problem-solving abilities
• Excellent communication, Strong collaboration skills
• Should be able to work independently
• Attention to detail and commitment to high-quality results
• Adaptability to fast-paced, dynamic environments

Total Experience: 3 to 15 Years

Notice period: Immediate to 30 Days.

Responsibilities:

Implementation of Manufacturing, Costing, Planning Central, Demand Management, Sales and Operation Planning in Oracle ERP.

Drive requirement gathering, Fit-Gap, Solution Design, Build, CRP, SIT, UAT, Cutover/Go-Live and postproduction support for above applications.

Perform configuration/Application setups.

capturing solution design, configuration, documentation, and post-production support.

Responsible for roll out of all Oracle modules for new State operations.

Training the new users and preparation of user manuals