BDE Internship

About the Role

Viamagus is a fully AI-driven engineering organization.

We're hiring a Technical Architect who has built real systems, deployed them to production, and meaningfully integrated AI into their engineering practice. You'll lead architecture across all client engagements.

Must-Have: Engineering Foundation

• Bachelor's in CS/Engineering or related field (Master's preferred)
• 8+ years of software development, 3+ years in an architect/lead role
• Built systems from scratch and taken them to production - owned the full lifecycle, not just slices
• Multiple integration experiences - third-party APIs, enterprise systems (SAP, Salesforce, ERP), messaging/event buses, legacy modernization
• Built frameworks for scalability - reusable platforms, SDKs, shared libraries, and internal developer tooling adopted across teams
• Technology-agnostic strength - strong across at least one modern backend stack, one frontend framework, and one cloud platform; able to pick the right tool for the job rather than defaulting to favourite
• AWS or Azure cloud architecture - VPC design, IAM, container orchestration, cost optimization
• DevOps fluency: Docker, Jenkins/GitHub Actions, IaC (Terraform/CDK)
• Performance tuning, distributed tracing, structured logging, APM tools (Datadog, New Relic, or equivalent)
• AppSec collaboration - OWASP Top 10, VAPT remediation, secrets management, compliance (ISO/SOC 2/HIPAA exposure a plus)

Must-Have: AI-Era Awareness

You will be expected to architect systems that use AI effectively and lead engineers who do the same. Working knowledge of several of these is required:

• AI-assisted development - daily driver of Claude Code, Cursor, Copilot, or equivalent; can articulate where they help, where they fail, and how to get better outcomes from them
• LLM integration patterns - understanding of when to use OpenAI, Anthropic, Gemini, or open-source models; familiarity with API usage, streaming, function calling, structured outputs
• RAG basics — vector DBs (pgvector, Pinecone, Qdrant), embeddings, chunking, retrieval tradeoffs — enough to review and guide RAG implementations
• Agentic systems awareness — conceptual understanding of tool use, multi-step agents, and frameworks like LangGraph or CrewAI
• MCP (Model Context Protocol) — awareness of what it is and where it fits
• Prompt engineering fundamentals — versioning prompts, structured outputs, guardrails, handling hallucinations
• AI evaluation and cost awareness — how to measure quality, latency, and cost of LLM-powered features
• Curiosity and experimentation mindset — has tried things beyond ChatGPT in a browser tab

Responsibilities

Architecture & Delivery

• Design scalable, secure architectures for client engagements
• Lead technical due diligence on proposals - feasibility, effort estimation, risk flagging
• Drive production readiness: incident management, observability, release processes
• Review and approve high-impact design decisions across projects

Team & Stakeholders

• Mentor 15–20 engineers across backend, mobile, and cloud teams
• Conduct architecture reviews, code reviews, and technical retrospectives
• Engage directly with client CTOs/architects on solution design and technical escalations
• Translate business objectives into architectural decisions and vice versa

Quality, Risk, Compliance

• Enforce security-first design - threat modelling, data classification, AI-specific risks (prompt injection, PII leakage, model supply chain)
• Ensure compliance readiness for ISO 27001, SOC 2, HIPAA, where applicable
• Identify and mitigate delivery risks early; escalate with proposed mitigations

Nice to Have

• Contributions to open-source projects or AI tooling
• Experience with real-time sync (CRDTs, Realm, Ditto) or offline-first architectures
• Published technical content - blogs, talks, GitHub
• Google/AWS/Azure certifications (bonus, not substitute)

As a Senior Security Operations Engineer, you will be an integral part of Qualys SOC (Security Operation Center) and CSIRT (Cyber Security Incident Response Team) contributing to the day-to-day activities aimed at governing entire incident management lifecycle from incident monitoring, triaging, analyzing, and responding to security incidents. This role requires a solid understanding of security technologies, incident triage/investigation & incident response, and a proactive approach to identifying and mitigating potential threats. You will leverage advanced cybersecurity tools and techniques to monitor and secure Qualys infrastructure/systems, Qualys Cloud Platforms, respond to alerts, investigate potential threats, and proactively work for mitigation of identified cyber threats/incidents. At the same time, you will be responsible for providing expert guidance to other SOC engineers in the team and working closely with SOC/CSIRT leadership to improve the organization’s security posture.

Why this role exists

Our infrastructure footprint is growing faster than our headcount, and we believe most of that

gap should be closed by automation and AI agents — not by hiring more humans to do toil. We

need someone early in their career who treats manual work as a bug, ships scripts and agents

instead of tickets, and wants to grow into deeper ownership over the next two years.

You will not be the most senior person on the team. You will be the one who multiplies the team.

What you'll own

In your first 1 months

• Take ownership of one slice of our CI/CD pipeline and make it measurably

faster, more reliable, or cheaper. We expect a number on a dashboard to move.

• Build at least three internal automations that replace manual ops toil —

using AI agents (Claude Code, agentic CLIs, scripted LLM workflows) as your force

multiplier.

• Be the first responder for a defined set of alerts. Write the runbooks. Drive

the alert volume down.

• Support senior engineers on AI/ML infrastructure (GPU nodes, inference

services, model deployment) — observe, document, and gradually take on contained

changes under review.

By 3 months you should be

• The go-to person for at least two production systems.

• Shipping routine infrastructure changes without needing senior review.

• Treating "manual" as a code smell.

Required (we will reject without these)

• 0–3 years hands-on experience with one major cloud (AWS, GCP, or

Azure — one is fine, depth beats breadth).

• Fluent in Linux command line, bash, and at least one scripting language

(Python or Go preferred).

• Have shipped something to production that real users hit. A side project

counts; a graded coursework lab does not.

• Comfortable with Docker — you can explain what an image vs. a

container is and why it matters.

• Working knowledge of networking fundamentals: DNS, HTTP/HTTPS,

TLS, ports, basic subnets — enough to debug "it works on my machine."

• Git fluency: branches, merges, rebases, conflict resolution.

• CI/CD pipelines — you have authored or substantially modified pipelines

in GitHub Actions, GitLab CI, ArgoCD, Jenkins, or similar. Not just "I clicked Re-run."

• Kubernetes basics — kubectl for real work, can read pod logs,

understand deployments and services, can debug a CrashLoopBackOff without

panicking. You do not need to have run a cluster; you do need to have lived inside one.

• Active user of AI coding agents (Claude Code, Cursor, Copilot, agentic

CLIs, etc.). You should be able to walk us through specific tasks where they made you

faster, and specific tasks where they failed you and how you noticed. "I have tried it" is

not enough.

Bonus (real plus, not required)

• Infrastructure as Code: Terraform, Pulumi, or Ansible.

• Observability: Prometheus/Grafana, Datadog, OpenTelemetry, any APM.

• Have built or extended an LLM-based agent — a custom MCP server, a

scripted multi-step workflow, an internal tool that calls models in a loop. Anything beyond

chat-with-Claude.

• Exposure to GPU workloads, model serving (vLLM, Triton, TGI, etc.), or

ML pipelines.

What we don't care about

• Whether your degree is in CS — or whether you have a degree at all.

• Brand-name companies on your resume.

• Certifications. They are fine. They do not substitute for having shipped.

How we work

• We default to automation. If you do something manually twice, the third

time you script it or hand it to an agent.

• AI agents are part of the workflow, not a novelty. Expect interview

questions about exactly how you use them — and where you have caught them being

wrong.

• Small, reversible changes beat big-bang rollouts.

• Postmortems are blameless and written down.

• We push back on each other. If you only execute, you will be unhappy

here.

How to apply

Send:

• Your resume.

• A short note (≤200 words) describing one infra or automation problem you

solved, and how AI agents factored in — or did not, and why. We read these. Generic

notes get rejected.

Internal note — delete before posting externally

• Comp band, location policy, team name, and reporting line marked

[CONFIRM] need to be filled in before this goes external.

• The Required list is intentionally tight: CI/CD and Kubernetes basics

promoted from bonus. Expect this to filter ~80% of typical junior DevOps applicants. The

remaining pool will skew toward people who have actually shipped infra at a startup, not

bootcamp grads or pure cloud-cert holders.

• IaC, observability, agent-building, and GPU/ML serving stay as bonus.

Promoting any of these to required at 0–3 yrs collapses the pool to near-zero or forces

hiring senior people at junior comp. If you want IaC required, re-level this to mid (3–5

yrs) and raise the band.

• Screening implication: the resume screen should explicitly check for

CI/CD pipeline authorship and any K8s-touching production work. If neither is on the

resume, reject at screen. Do not waste interview slots.

• Pipeline watch: if fewer than ~15 qualified resumes after 2 weeks of

active sourcing, the first thing to relax is the AI-agent-fluency bar (move to bonus and

screen for it in interview instead). Do not relax the "shipped to production" requirement

— that is the load-bearing filter.

Roles and Responsibilities:

1. Support Cybersecurity Assessments:

o Assist in conducting cybersecurity governance risk assessments for

applications.

o Help in the preparation and review of the Cybersecurity Governance

Assessment Questionnaire (CGAQ).

o Ensure all necessary information is collected and documented accurately.

o Provide guidance and support to ensure understanding and compliance with

cybersecurity requirements.

2. Issue and Exception Management:

o Track and follow up on issues and exceptions identified during assessments.

o Ensure timely closure of findings from assessments and audits.

o Document and report the status of issues and exceptions to relevant

stakeholders.

3. Documentation and Reporting:

o Assist in maintaining accurate records of assessments, issues, and exceptions.

o Maintain contact with with IT and Business to ensure customer satisfaction

Customer Support Roles

1. Customer Support Representative: Handles customer inquiries, resolves issues, and provides product information via phone, email, or chat. Should be good in English and Hindi

2. Customer Service Agent: Provides assistance and support to customers, answering questions and resolving concerns in a timely and professional manner.

3. Help Desk Support: Troubleshoots and resolves technical issues for customers, providing timely and effective solutions.

Chat Process Roles

1. Chat Support Agent: Responds to customer inquiries and resolves issues via live chat, providing quick and accurate solutions.

2. Live Chat Representative: Engages with customers in real-time, addressing their concerns and providing support through live chat platforms.

3. Virtual Customer Support Agent: Handles customer support requests via chat, email, or social media, providing timely and effective solutions.

Key Skills

- Excellent communication and interpersonal skills

- Strong problem-solving and analytical skills

- Ability to work in a fast-paced environment

- Patience and empathy when dealing with customer issues

- Strong product knowledge and understanding of company policies

Job Scope

• Requirements Gathering & Designing: Liaison with SMEs to understand their Business Requirements and advise them on efficient system solutions. If required, guide the clients in re-engineering their Business Processes. Also, educate them on alternatives for system design & advice on how to achieve desired business outcomes.
• Implementation: Configure and Test SAP SuccessFactors modules
• Data Migration:  Perform/Support Data Migration as required
• Client Engagement: Set up relevant data within the configured SAP SuccessFactors module, to showcase to the client the end-to-end business process. Collect & process the feedback from Clients, to make necessary system changes. Also, extend extensive support to Clients when they test SAP SuccessFactors modules
• Training: Educate clients on how to use SAP SuccessFactors modules
• Documentation: Diligently document Business Requirements to baseline for implementation. Prepare training materials & other documents required for the successful completion of the project. 
• Support: Post implementation, understand the requirements/issues of the client and provide necessary technical solutions. This could include fixing issues and/or implementing new features based on business needs.

About Rankpedia:

Rankpedia Technologies works with customers experiencing complicated educational circumstances. Through the provision of online education programs, we equip students with the confidence, motivation, and skills that they need to top and perform outstandingly well in their education.

Location: Bangalore

Industry: E-Learning

About Role:

Who You Are | Common for All Senior Developers

• Leadership: Ability to move and inspire a team in a unified direction towards a common vision.

• Dynamic: Should be comfortable in dealing with lots of moving pieces. Have exquisite attention to detail, and are comfortable learning new technologies and systems.

• Humility: An approachable individual who is able to form strong and long-lasting relationships.

• Motivation: Demonstrate a positive, ‘can-do’ attitude. Willing to roll up your sleeves and get things done.

• Data-driven: Keen interest in evaluating product/market situations, analyzing raw data, and transforming it into actionable strategies.

Senior Software Engineer

Rankpedia is looking for a smart, collaborative, and hard-working Senior Software Engineer. As a Senior Software engineer, you’ll come in and lay the groundwork for how engineering is practiced at Rankpedia. You’ll assess the technical feasibility of newly-created product ideas and propose accurate solutions throughout the design and development phase. You’ll evaluate different systems for use in production and drive the adoption of key technological changes. You’ll soon lead a team of motivated and experienced engineers and enable them to provide a seamless learning experience to our customers. So, if you are an accomplished, hands-on engineering leader, then we’d like to talk to you!

Responsibilities: 

• As a Senior Software Engineer, you will be first-hand responsible for designing our architecture, implementing it, and making crucial technology decisions.

• You will build high-quality software, inspire future hires to write good code, and maintain a culture of high-performance engineering teams with exemplary work.

• Writing reusable, testable, and efficient code.

• Understanding agile development, CI/CD, sprints, code reviews.

• Working with Product Managers and the rest of the team to plan sprints.

• As the engineer building the foundation of our systems, you will end up working with product, frontend, and DevOps/infra personnel to architect the systems and data flow

• Articulate the approach to all the relevant team members

• Consistently follows and promotes SDLC best practices: Coding standard, testing, code reviews, code comments, etc. 

• Adaptability: As a Young startup you will be exposed to different functions beyond your defined role.

Requirements:

• 4-5 years of intense experience writing production Software services at scale

• Good understanding of Algorithms, Data Structures, Object-Oriented Design, and Databases

• Deep understanding of SQL database architecture - data modeling and scalable schema design

• Bachelor’s and/or Master’s degree in Computer Science or related field.

• Proficient in JavaScript & its Libraries/Frameworks, NodeJS, RestAPI, MongoDB, SQL, ReactJs.

• Experience of version control and code branching strategies

• Preferred - Experience of DevOps implementation in AWS

• Experience with containers (Docker, Kubernetes)

The Job Requires Candidate to work from office