{"id":1227588,"url":"https://alion.io/job/hiringblaze-redis-cache-real-time-data-engineer","title":"Redis Cache & Real-Time Data Engineer","company":{"id":3800132,"name":"HiringBlaze","domain":"hiringblaze.com","url":"https://alion.io/company/hiringblaze","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":16500,"max_usd":40000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":13},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Cassandra","optional":false},{"name":"Java","optional":false},{"name":"Linux","optional":false},{"name":"Python","optional":false},{"name":"Redis","optional":false}],"status":"live","first_seen_at":"2026-09-24T04:07:43Z","employer_posted_date":null,"last_verified_at":"2026-09-24T04:07:43Z","board_verified":false,"closed_at":null,"days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"description":"Role Overview :\n\nAs a Redis Cache & Real-Time Data Engineer, you will be at the heart of our high-frequency data infrastructure, designing and maintaining systems that power sub-millisecond responses for millions of users. You will work closely with cross-functional engineering teams, product managers, and site reliability engineers to architect robust caching layers and real-time data pipelines. Your work directly influences the scalability and performance of our platform, ensuring that our business remains agile and our customers experience seamless, lightning-fast interactions even during peak traffic loads.\n\nKey Responsibilities :\n\n- Architect and optimize high-performance Redis clusters to ensure low-latency data retrieval and high availability for mission-critical applications.\n\n- Design scalable data structures and caching strategies that reduce database load and improve overall system throughput for end-users.\n\n- Collaborate with backend teams to integrate real-time data streaming solutions like Kafka, ensuring consistent data flow across distributed systems.\n\n- Conduct deep-dive performance tuning and bottleneck analysis on Linux-based environments to maintain system stability under heavy concurrent loads.\n\n- Develop and maintain efficient algorithms and multithreaded services in Java or Python to handle complex data processing tasks at scale.\n\n- Partner with database architects to refine NoSQL and Cassandra schemas, ensuring optimal storage efficiency and query performance for evolving business requirements.\n\nRequired Skillset :\n\n- Demonstrated expertise in designing and managing distributed systems, with a deep understanding of Redis internals, data structures, and advanced caching patterns.\n\n- Proven ability to write clean, maintainable code in Java or Python, with a strong grasp of multithreading and concurrency models.\n\n- Exceptional analytical skills to troubleshoot complex system architecture issues and perform rigorous performance tuning in high-traffic production environments.\n\n- Strong communication skills to effectively translate technical requirements into scalable solutions while collaborating with diverse engineering stakeholders.\n\n- Solid foundation in Linux system administration and a comprehensive understanding of how to optimize hardware and software interactions for real-time data processing.\n\n- Ability to thrive in a fast-paced, hybrid work environment in Hyderabad, demonstrating a proactive approach to problem-solving and continuous learning.\n\n- A Bachelors or Masters degree in Computer Science or a related field from a premier institute, reflecting a strong academic background in algorithms and data structures.\n\n- 3 - 6 years of hands-on experience in building and scaling real-time data platforms, with a track record of delivering high-impact technical solutions.\nSkills\nRedis, Cache Server Pages, Data Engineering, Kafka, Java, Python, Linux, Data Pipeline","description_format":"text","description_chars":2938,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Hybrid work"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-25T13:06:44Z"}],"liveness":{"score":42,"band":"fade","label":"Fading","p_open":1,"p_active":0.444,"p_room":0.945,"age_days":4,"expected_fill_days":8,"reasons":["seen:4","agency","velocity","win:mid"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/hiringblaze-redis-cache-real-time-data-engineer","json_url":"https://alion.io/job/hiringblaze-redis-cache-real-time-data-engineer.json","meta":{"generated_at":"2026-09-29T01:41:24Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1324,"day_limit":5000,"remaining_today":3676,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}