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Platform Engineer / Distributed Systems Engineer

India, Haryana, Gurugram

1 week ago

Applicants: 0

Salary Not Disclosed

2 weeks left to apply

Job Description

Experience : 4.00 + years Salary : INR 4000000-8000000 / year (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Office () Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Ciroos) (*Note: This is a requirement for one of Uplers' client - Ciroos) What do you need for this opportunity? Must have skills required: real-time data processing frameworks, stream processing, Cloud Infrastructure, large-scale analytics pipelines, C++ OR Golang Ciroos is Looking for: Platform Engineer / Distributed Systems Engineer About Us: We are disrupting the Observability domain by leveraging AI Agents and Large Language Models (LLMs) to revolutionize monitoring, troubleshooting, and automation for applications, cloud, and on-prem infrastructure . Our mission is to build the next-generation intelligent observability platform that proactively detects, diagnoses, and resolves issues at scale. Our team consists of experienced engineers and entrepreneurs who have built multiple billion-dollar products. As a well-funded, US-based company backed by top-tier VCs, we have offices in the US, India, and Europe. Join us in our fast-paced environment where you''ll help shape the future of AI-driven observability solutions. What You''ll Work On Design and develop a next-generation scalable observability platform for modern cloud-native and hybrid infrastructures that works in tandem with AI agents. Create intelligent AI agents to analyze logs, traces, and metrics in real time, delivering automated insights and remediation. Build scalable and fault tolerant AI agent frameworks Engineer and optimize large-scale analytics pipelines to process high-velocity telemetry data. Build resilient distributed systems with high reliability, performance, and fault tolerance. Implement and fine-tune LLMs for natural language querying and automated troubleshooting. Partner with ML engineers to streamline AI model deployment and management. What We''re Looking For Strong programming skills in C++ and Golang (experience with Rust is a plus) Track record of building distributed systems and large-scale analytics pipelines Hands-on experience with cloud infrastructure (AWS, GCP, or Azure) and Kubernetes Deep understanding of observability technologies (Prometheus, OpenTelemetry, Grafana, Elastic, etc.) Knowledge of LLMs, AI agents, agent frameworks liks langchain, autogen is a plus Experience with stream processing and real-time data processing frameworks Proficiency in database technologies (SQL & NoSQL, Clickhouse, Time-Series DBs) 7**+ years** of relevant experience Bachelor''s degree in Computer Science, Engineering, or related field (Master''s/PhD is a plus) How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Additional Information

Company Name
Uplers
Industry
N/A
Department
N/A
Role Category
SRE (Site Reliability Engineer)
Job Role
Mid-Senior level
Education
No Restriction
Job Types
On-site
Gender
No Restriction
Notice Period
Immediate Joiner
Year of Experience
1 - Any Yrs
Job Posted On
1 week ago
Application Ends
2 weeks left to apply

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