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We are looking for a professional Instructional Designer to act as a bridge between the customer and the development team to translate information between them and drive intelligence into the content development process by taking a solutioning approach. The ID would not only be a part of the course design process but also be involved in storyboarding. The objective is to facilitate end learners in acquiring knowledge, skills and competencies in an effective and appealing manner.

• Content analysis and identify target audience’s training needs
• Work closely with SMEs/Customers to understand concepts
• Apply Instructional design theories, practice and methods
• Analyse and research strategies where necessary
• Develop creative scripts for videos and engaging storyboards for e-learning modules (Courses, Videos, Simulations, Gamified courses, Scenarios, etc), ILTs
• Design interactive learning objects, develop assessments and exercises
• Provide visual guidance and suitable references to developers where necessary
• Ensure that the outputs are developed in accordance with the Storyboards
• Project documentation and vendor coordination
• Brief travel to customer locations as necessary

• Proven working experience in instructional design and storyboarding
• Excellent knowledge of learning theories and instructional design models
• Lesson and curriculum planning skills
• Advanced User of Microsoft Office – Word, PowerPoint, Excel – for storyboarding
• Understanding on the working of HTML5, Articulate, Flash, Adobe Suite and any LMS
• Very good communication skills

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.

Professional & Technical Skills: 

- Must To Have Skills: Proficiency in Microsoft Dynamics 365 Commerce Technical.

- Strong understanding of application development methodologies.

- Experience with integration of Microsoft Dynamics 365 with other systems.

- Ability to troubleshoot and resolve application issues effectively.

- Familiarity with user interface design principles and best practices.

Additional Information: 

- The candidate should have minimum 3 years of experience in Microsoft Dynamics 365 Commerce Technical.

achelor of Engineering or Technology; or any degree on par;

·  12-15 years of Experience in security and similar areas solution/product development, design, etc

·  Minimum 7-8 years of experience in an Enterprise or Cyber Security practice dedicated role

·  Experience in Enterprise deployment of security with in depth knowledge of security, implementing security solutions and working closely with global customer accounts.

·  Proficient with concepts like SOC, OWASP Top 10 etc

·  Understanding of Enterprise Cyber security models like Mitre ATTACK and roadmap modelling.

·  Excellent analytical and problem-solving skills to drive product development

·  Excellent communicator, whether writing, speaking or presenting

·  Experience gathering and analysing data to create useful metrics that support positive change

CoreStack, an AI-powered multi-cloud governance solution, empowers enterprises to rapidly achieve Continuous and Autonomous Cloud Governance at Scale. CoreStack enables enterprises to realize outcomes such as 40% decrease in cloud costs and 50% increase in operational efficiencies by governing operations, security, cost, access, and resources. CoreStack also assures 100% compliance with standards such as ISO, FedRAMP, NIST, HIPAA, PCI-DSS, AWS CIS & Well Architected Framework (WAF). We work with many large global customers across multiple industries including Financial Services, Healthcare, Retail, Education, Telecommunications, Technology and Government.

CoreStack closed a $8.5 million Series A financing recently. CoreStack was recognized as IDC Innovator in Cloud Management Solutions and in the Gartner Magic quadrant for Cloud Management Platforms in 2020. Earlier in 2019, Gartner named CoreStack as a Cool Vendor in Cloud Computing. CoreStack is a Microsoft Azure Gold & Co-Sell Partner and Amazon AWS Advanced Technology Partner.

CoreStack Offers

• Competitive salary
• Competitive benefit package with appreciable equity
• Exciting, fast-paced and entrepreneurial culture
• Health insurance and other company benefits

Java with cloud

• Required 4+ years of experience in Java.
• Hands on professional experience using Core Java, Java Restful APIs, Gradle, Spring, Spring Boot and related frameworks.
• Hands on experience creating/consuming web services and data Data queries in SQL
• 2+ years’ experience of working with geographically dispersed teams, that fall across different time zones
• Experience with distributed architecture including web services and technologies
• Developing POCs
• Working knowledge of JIRA or other ALM tools to create a productive, high quality development environment

• Participate in requirement analysis
• Write clean, scalable code using .NET
• Test and Deploy applications and systems

• Must have good command on c#
• Should have knowledge on the official ASP.NET, ANGULAR JS and MVC