GTM Engineer Intern
CloudRaft is a fast-growing company building AI and cloud-native solutions. The GTM Engineer Intern will build and execute outbound growth systems, including data enrichment pipelines, AI-personalized email sequences, and lead scoring. This role requires hands-on work with automation tools like n8n and Zapier, as well as basic Python and LLM prompting. You will work directly with the founder to experiment with new GTM channels and optimize campaign performance.
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Experience
0-0 years
Function
Marketing
Work mode
Remote, India
Company
Tier 2
What you will work on
CloudRaft is a fast-growing company building AI and cloud-native solutions. The GTM Engineer Intern will build and execute outbound growth systems, including data enrichment pipelines, AI-personalized email sequences, and lead scoring. This role requires hands-on work with automation tools like n8n and Zapier, as well as basic Python and LLM prompting. You will work directly with the founder to experiment with new GTM channels and optimize campaign performance.
TAL's take
Clear internship role with defined growth-marketing scope, though company is small/unknown.
Very clear responsibilities focused on GTM automation pipelines and AI workflows.
Must haves
- Experience with n8n, Zapier, Make or similar
- Comfortable writing basic Python or using APIs
- Experience prompting LLMs for structured output
- Understanding of outbound marketing and lead generation
- Background in Marketing, Computer Science, or Engineering
Tools and skills
About the company
Unfamiliar company, default mid-tier.
Posts mentioning CloudRaft
Need Referrals| LWD 21st July| Immediate Joiner
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๐ Open to Work | DevOps Engineer | Security-Aware | Versatile IT Professional
Hi Grapevine Network! ๐ Iโm actively looking for new DevOps Engineer opportunitiesโand I bring a unique blend of skills across DevOps, IT support, cloud platforms, and cybersecurity. With over 3 years of IT experience, Iโve worn multiple hats: ๐ง DevOps Specialist CI/CD pipeline automation using Jenkins, Git, Docker, Kubernetes Hands-on with AWS (EC2, ECS, ALB, Lambda, CloudWatch, IAM, etc.) Built and managed production-grade systems with monitoring, scaling & rollback ๐ก๏ธ Security Analyst Performed vulnerability assessments using Burp Suite, Nmap, Acunetix Reduced cyber risks by 30% through structured audit and patching practices CEH v11 Certified ๐ฅ๏ธ IT Support & SysAdmin Managed Windows/Linux systems, Windows Server 2016, and domain environments Delivered 90%+ customer satisfaction in L2 troubleshooting Streamlined upgrades for 500+ EC2 servers using Terraform and Chef ๐ Iโm open to relocation and visa sponsorship, and eager to join a forward-thinking team where I can contribute to scalable and secure infrastructure. ๐ผ If you know of any opportunities or can connect me with someone hiring in DevOps/SRE, Iโd be grateful! ๐ฉ DM me or reach out at: riteshbhosle0786@gmail.com Thanks for the support! #OpenToWork #DevOpsEngineer #SRE #CloudComputing #AWS #Kubernetes #CI/CD #Security #JobSearch #Grapevine
zepto tech is facing really bad tech debt
stumbled on zepto's blog post regarding their infra for using postgres here's why they're facing really bad tech debt: - db connections are maintained on the application layer (with 3 workers per pod), this setup should ideally have a proxy service that maintains the connection pool - ive no experience with managed databases, but shouldn't there be pre-configured connection thresholds and alerts if you rely on such services? they didn't have the most rudimentary alerts for database? - "as latency increased, new relic started fetching more EXPLAIN plans" this inherently looks like an incorrect implementation from new relic's end (a service they must be paying thousands of $/month); rather, it should fire alerts when the explain queries are failing (which is still not fixed) all of their metrics are scattered (these are mentioned in the blog post, who knows in reality how many they might be using): - "AWS Aurora with Performance Insights" - "RDS Postgres CloudWatch metrics" - "New Relic" how could one even dig so many platforms during downtime or escalations? it should be a nightmare working with this system at the very least they call this system "high-throughput", you're hardly doing a million deliveries per day, the scale is subjective, but if you genuinely feel that you need to do a reality check