 
						Full Stack Engineer
2 days ago
Job Title: Full-Stack Engineer Company: [Funded Startup in Observability space] Location: Bangalore, India Type: Full-Time | On-site (Hybrid) Experience:2-4 yrs Budget: 14-15LPA NP: Max 30 days About Us: We’re a leading technology firm delivering innovative software solutions in the Observability space, revolutionizing how businesses gain insights into their systems and applications. Our flagship product is a world-class full-stack observability platform that powers synthetic monitoring, real-time data pipelines, dashboards, and developer tools used globally. We’re on a mission to build fast, resilient systems that users love—and we need talented engineers to help us get there. Job Description: As a Full-Stack Engineer, you’ll work with a cutting-edge tech stack— Golang, React, and Kubernetes —alongside a team of high-caliber engineers passionate about building software the right way. Whether it’s optimizing backend performance, designing sleek UIs, or exploring ML-driven features, you’ll contribute to scalable solutions that tackle real-world problems. Responsibilities: Develop full-stack features for our flagship observability platform. Write high-performance, production-grade services in Golang. Craft responsive, user-friendly interfaces using React + TypeScript. Collaborate with product, design, and engineering teams to ship quickly and iterate. Own your features from ideation to deployment. (Bonus) Explore AI/ML enhancements like smart alerting, auto-insights, or LLM integrations if that sparks your interest. Qualifications: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience). 2+ years of experience in full-stack or backend-focused engineering roles. S trong hands-on expertise with Golang. Proficiency in React + TypeScript, HTML, CSS, JavaScript, and REST APIs. Excellent debugging and problem-solving skills. Solid understanding of software development principles, design patterns, Git, and CI/CD practices. Strong communication and collaboration abilities. Nice-to-Have Skills: Experience with observability, monitoring, dashboards, or time-series data. Knowledge of performance tuning (frontend or backend). Familiarity with cloud platforms (e.g., AWS, OCI). Exposure to containerization and orchestration tools (e.g., Docker, Kubernetes). Background in AI/ML features—LLMs, embeddings, or OpenAI integrations. Experience with Kafka, event-driven systems, or real-time pipelines. Contributions to open-source projects, dev tools, or personal side projects. Why Join Us ? You’ll work on impactful challenges with a talented, collaborative team in a fast-paced environment. If you’re passionate about building clean, scalable systems and want to shape the future of observability, this is your shot
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