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13 - 15 years

37 - 45 Lacs

Bengaluru

Work from Office

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We are looking for a passionate and skilled Software Engineering Manager with a strong foundation in Data Structures and Algorithms (DSA) and experience in building systems that handle large-scale data efficiently. Youll play a key role in designing, developing, and optimizing backend systems, real-time pipelines, or storage engines that scale to billions of records. Design and implement highly performant algorithms to process, transform, and analyze large volumes of data Apply advanced DSA concepts like Trees, Graphs, Tries, Heaps, and Hashing for data indexing, filtering, and routing Develop and optimize data pipelines, stream processors, or caching systems Architect scalable systems for data ingestion, storage, and retrieval (structured/unstructured) Collaborate with cross-functional teams to integrate and deploy performant services Perform profiling, tuning, and memory optimization to ensure low-latency operations Write clean, modular, testable code and participate in code reviews Must-Have Skills Strong command over Core DSA concepts: Binary Search, Heaps, Graphs, Tries, Trees (AVL, B-Trees, Segment Trees) Hands-on experience with algorithms for sorting, searching, indexing, and caching large dataset Proficiency in one or more of the following languages: Java, Python Experience working with large datasets in real-time or batch Solid grasp of time and space complexity and performance tuning Familiarity with memory management, garbage collection, and data locality Deep technical knowledge; hands-on in architecture design, development, deployment, and production operation; familiar with agile software development and modern development tools and frameworks; holds strong engineering principles, including automation, quality, and best practices with a high bar. Extensive experience in complete software development life cycle E2E, including production monitoring. * must have strong hands-on DSA + System design + System Architecture. + Event Driven Architecture, be will performing 70% core technical (Coding) & 30% Managerial role.

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8 - 13 years

10 - 20 Lacs

Bengaluru

Remote

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About Guidesly: Do you enjoy the Outdoors? Are you an enthusiast who wants to work in a place where you can follow your personal and professional passions? Guidesly is a well-funded startup building software for the Outdoor industry. Mobile apps, SaaS software, product services, and websites; we have a bit of everything. Sophisticated technology and a dream to change the world. If your passion is the outdoors and you want to live your dream, then this is your job. Work with guides, build products, get honest feedback from enthusiasts to create the very best solutions in the marketplace. The outdoor recreation industry includes fishing, wildlife, boating, water sports, snow sports, hunting, ATV, hiking, and biking. We are starting with the fishing vertical in the outdoor recreation industry. The product manager will work with professional guides throughout the United States and enthusiasts in all fishing varieties. Key Responsibilities: Heap Implementation & Management. Own end-to-end management of Heap: event tracking, custom properties, naming conventions, and data governance. Partner with product and engineering to ensure consistent and accurate instrumentation across platforms (web/app). Continuously audit and optimize tracking to ensure data cleanliness and trust. Data Analysis & Insights Analyze user behavior to identify friction points, drop-offs, and opportunities to improve product UX and conversion. Build dashboards, reports, and segments to track feature adoption, funnels, cohort behavior, and retention. Drive experimentation and A/B testing strategy, partnering closely with product managers and designers. Strategic Impact Translate data into actionable recommendations that influence product roadmap, marketing strategies, and go-to-market decisions. Support OKR tracking with real-time dashboards and periodic reporting. Required Skills & Qualifications: Heap Analytics Strong experience setting up and using Heap for tracking and analysis Event Tracking Knows how to create, manage, and clean up event data SQL Can write queries to get answers from raw data Data Dashboards Can build clear reports using tools like Heap A/B Testing Understands how to run experiments and interpret results Key skills: Heap Analytics, SQL, Data Dashboard, A/B Testing.

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